2023-01-11T20:43:40.8127350Z Requested labels: linux.2xlarge
2023-01-11T20:43:40.8127449Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/tags/ciflow/trunk/91627
2023-01-11T20:43:40.8127606Z Reusable workflow chain:
2023-01-11T20:43:40.8127646Z pytorch/pytorch/.github/workflows/trunk.yml@refs/tags/ciflow/trunk/91627 (8419ddda87c8a47eacc63b54bc7ec98c1f27c26e)
2023-01-11T20:43:40.8127694Z -> pytorch/pytorch/.github/workflows/_linux-test.yml@refs/tags/ciflow/trunk/91627 (8419ddda87c8a47eacc63b54bc7ec98c1f27c26e)
2023-01-11T20:43:40.8127726Z Waiting for a runner to pick up this job...
2023-01-11T20:43:40.9940894Z Job is about to start running on the runner: i-01f2ab378c1fce18b (organization)
2023-01-11T20:43:44.7599186Z Current runner version: '2.300.2'
2023-01-11T20:43:44.7604359Z Runner name: 'i-01f2ab378c1fce18b'
2023-01-11T20:43:44.7604771Z Runner group name: 'Default'
2023-01-11T20:43:44.7605322Z Machine name: 'ip-10-0-1-249'
2023-01-11T20:43:44.7607242Z ##[group]GITHUB_TOKEN Permissions
2023-01-11T20:43:44.7607879Z Actions: write
2023-01-11T20:43:44.7608129Z Checks: write
2023-01-11T20:43:44.7608459Z Contents: write
2023-01-11T20:43:44.7608751Z Deployments: write
2023-01-11T20:43:44.7609006Z Discussions: write
2023-01-11T20:43:44.7609324Z Issues: write
2023-01-11T20:43:44.7609625Z Metadata: read
2023-01-11T20:43:44.7609873Z Packages: write
2023-01-11T20:43:44.7610152Z Pages: write
2023-01-11T20:43:44.7610445Z PullRequests: write
2023-01-11T20:43:44.7610730Z RepositoryProjects: write
2023-01-11T20:43:44.7611098Z SecurityEvents: write
2023-01-11T20:43:44.7611393Z Statuses: write
2023-01-11T20:43:44.7611634Z ##[endgroup]
2023-01-11T20:43:44.7614504Z Secret source: Actions
2023-01-11T20:43:44.7615155Z Prepare workflow directory
2023-01-11T20:43:45.1205377Z Prepare all required actions
2023-01-11T20:43:45.1362825Z Getting action download info
2023-01-11T20:43:45.3626319Z Download action repository 'pytorch/test-infra@main' (SHA:2c225610d00fb13c04fcd60389d3e4d8326167c3)
2023-01-11T20:43:45.6409885Z Download action repository 'pytorch/pytorch@master' (SHA:c5836153f5332ca83d5cacde38f2829a4d54793e)
2023-01-11T20:43:48.8207806Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2023-01-11T20:43:49.0781814Z Getting action download info
2023-01-11T20:43:49.3805813Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076)
2023-01-11T20:43:49.5601447Z Getting action download info
2023-01-11T20:43:49.7474176Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2023-01-11T20:43:49.8793125Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml
2023-01-11T20:43:49.8794736Z ##[group] Inputs
2023-01-11T20:43:49.8795050Z   build-environment: parallelnative-linux-focal-py3.7-gcc7
2023-01-11T20:43:49.8795463Z   test-matrix: { include: [
  { config: "default", shard: 1, num_shards: 2, runner: "linux.2xlarge" },
  { config: "default", shard: 2, num_shards: 2, runner: "linux.2xlarge" },
]}

2023-01-11T20:43:49.8795951Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:43:49.8796275Z   sync-tag: 
2023-01-11T20:43:49.8796916Z   timeout-minutes: 240
2023-01-11T20:43:49.8797107Z   use-gha: 
2023-01-11T20:43:49.8797280Z ##[endgroup]
2023-01-11T20:43:49.8797750Z Complete job name: parallelnative-linux-focal-py3.7-gcc7 / test (default, 2, 2, linux.2xlarge)
2023-01-11T20:43:49.9467961Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2023-01-11T20:43:49.9468231Z with:
2023-01-11T20:43:49.9468694Z   github-secret: ***
2023-01-11T20:43:49.9469024Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2023-01-11T20:43:49.9469368Z   activate-with-label: false
2023-01-11T20:43:49.9469563Z   label: with-ssh
2023-01-11T20:43:49.9469752Z   remove-existing-keys: true
2023-01-11T20:43:49.9469924Z env:
2023-01-11T20:43:49.9470094Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:43:49.9470278Z ##[endgroup]
2023-01-11T20:43:50.0219613Z ciflow reference detected, attempting to extract PR number
2023-01-11T20:43:50.4487867Z Grabbing public ssh keys from https://github.com/pytorch-bot[bot].keys
2023-01-11T20:43:50.5359275Z No SSH keys found for user pytorch-bot[bot]
2023-01-11T20:43:50.5359584Z Grabbing public ssh keys from https://github.com/LucaLumetti.keys
2023-01-11T20:43:50.6247482Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh
2023-01-11T20:43:50.6260431Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys
2023-01-11T20:43:50.6283801Z Login using: ssh ec2-user@ec2-34-237-218-25.compute-1.amazonaws.com
2023-01-11T20:43:50.6284510Z All testing is done inside the container, to start an interactive session run:
2023-01-11T20:43:50.6284859Z   docker exec -it $(docker container ps --format '{{.ID}}') bash
2023-01-11T20:43:50.6496260Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2023-01-11T20:43:50.6496537Z with:
2023-01-11T20:43:50.6496723Z   submodules: recursive
2023-01-11T20:43:50.6496934Z   fetch-depth: 0
2023-01-11T20:43:50.6497126Z env:
2023-01-11T20:43:50.6497312Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:43:50.6497526Z ##[endgroup]
2023-01-11T20:43:50.6699500Z ##[group]Run retry () {
2023-01-11T20:43:50.6699769Z retry () {
2023-01-11T20:43:50.6700030Z   $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
2023-01-11T20:43:50.6700259Z }
2023-01-11T20:43:50.6700476Z echo "${GITHUB_WORKSPACE}"
2023-01-11T20:43:50.6700733Z if [ -z "${NO_SUDO}" ]; then
2023-01-11T20:43:50.6700983Z   retry sudo rm -rf "${GITHUB_WORKSPACE}"
2023-01-11T20:43:50.6701218Z else
2023-01-11T20:43:50.6701447Z   retry rm -rf "${GITHUB_WORKSPACE}"
2023-01-11T20:43:50.6701657Z fi
2023-01-11T20:43:50.6701908Z mkdir "${GITHUB_WORKSPACE}"
2023-01-11T20:43:50.6717448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:43:50.6717700Z env:
2023-01-11T20:43:50.6717908Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:43:50.6718121Z   NO_SUDO: 
2023-01-11T20:43:50.6718309Z ##[endgroup]
2023-01-11T20:43:50.6809365Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2023-01-11T20:43:53.8612344Z ##[group]Run malfet/checkout@silent-checkout
2023-01-11T20:43:53.8612579Z with:
2023-01-11T20:43:53.8612780Z   ref: 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:43:53.8612976Z   fetch-depth: 0
2023-01-11T20:43:53.8613155Z   submodules: recursive
2023-01-11T20:43:53.8613339Z   quiet-checkout: true
2023-01-11T20:43:53.8613528Z   repository: pytorch/pytorch
2023-01-11T20:43:53.8613833Z   token: ***
2023-01-11T20:43:53.8614000Z   ssh-strict: true
2023-01-11T20:43:53.8614189Z   persist-credentials: true
2023-01-11T20:43:53.8614363Z   clean: true
2023-01-11T20:43:53.8614533Z   lfs: false
2023-01-11T20:43:53.8614711Z   set-safe-directory: true
2023-01-11T20:43:53.8614872Z env:
2023-01-11T20:43:53.8615040Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:43:53.8615220Z ##[endgroup]
2023-01-11T20:43:53.9712123Z Syncing repository: pytorch/pytorch
2023-01-11T20:43:53.9713563Z ##[group]Getting Git version info
2023-01-11T20:43:53.9713995Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2023-01-11T20:43:53.9714457Z [command]/usr/bin/git version
2023-01-11T20:43:53.9714637Z git version 2.38.1
2023-01-11T20:43:53.9727732Z ##[endgroup]
2023-01-11T20:43:53.9740580Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/92a1d056-9c7b-49a3-b560-221fcf7482fd' before making global git config changes
2023-01-11T20:43:53.9741007Z Adding repository directory to the temporary git global config as a safe directory
2023-01-11T20:43:53.9744710Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2023-01-11T20:43:53.9783404Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2023-01-11T20:43:53.9787677Z ##[group]Initializing the repository
2023-01-11T20:43:53.9790099Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2023-01-11T20:43:53.9825070Z hint: Using 'master' as the name for the initial branch. This default branch name
2023-01-11T20:43:53.9825582Z hint: is subject to change. To configure the initial branch name to use in all
2023-01-11T20:43:53.9826155Z hint: of your new repositories, which will suppress this warning, call:
2023-01-11T20:43:53.9826566Z hint: 
2023-01-11T20:43:53.9827040Z hint: 	git config --global init.defaultBranch <name>
2023-01-11T20:43:53.9827409Z hint: 
2023-01-11T20:43:53.9827977Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2023-01-11T20:43:53.9828344Z hint: 'development'. The just-created branch can be renamed via this command:
2023-01-11T20:43:53.9828561Z hint: 
2023-01-11T20:43:53.9828935Z hint: 	git branch -m <name>
2023-01-11T20:43:53.9829616Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2023-01-11T20:43:53.9835236Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2023-01-11T20:43:53.9862891Z ##[endgroup]
2023-01-11T20:43:53.9863485Z ##[group]Disabling automatic garbage collection
2023-01-11T20:43:53.9865827Z [command]/usr/bin/git config --local gc.auto 0
2023-01-11T20:43:53.9893390Z ##[endgroup]
2023-01-11T20:43:53.9893932Z ##[group]Setting up auth
2023-01-11T20:43:53.9899798Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2023-01-11T20:43:53.9927853Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2023-01-11T20:43:54.0165123Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2023-01-11T20:43:54.0195267Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2023-01-11T20:43:54.0436312Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2023-01-11T20:43:54.0477341Z ##[endgroup]
2023-01-11T20:43:54.0477713Z ##[group]Fetching the repository
2023-01-11T20:43:54.0483985Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2023-01-11T20:44:48.2912567Z [command]/usr/bin/git rev-parse --verify --quiet 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e^{object}
2023-01-11T20:44:48.2938106Z 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:44:48.2942347Z ##[endgroup]
2023-01-11T20:44:48.2942964Z ##[group]Determining the checkout info
2023-01-11T20:44:48.2943548Z ##[endgroup]
2023-01-11T20:44:48.2944111Z ##[group]Checking out the ref
2023-01-11T20:44:48.2947448Z [command]/usr/bin/git checkout --quiet --force 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:44:49.5794877Z ##[endgroup]
2023-01-11T20:44:49.5795284Z ##[group]Setting up auth for fetching submodules
2023-01-11T20:44:49.5800716Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2023-01-11T20:44:49.5844391Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2023-01-11T20:44:49.5871330Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2023-01-11T20:44:49.5897486Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2023-01-11T20:44:49.5922197Z ##[endgroup]
2023-01-11T20:44:49.5922588Z ##[group]Fetching submodules
2023-01-11T20:44:49.5926264Z [command]/usr/bin/git submodule sync --recursive
2023-01-11T20:44:49.6180877Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2023-01-11T20:44:49.6421215Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2023-01-11T20:44:49.6422357Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2023-01-11T20:44:49.6424510Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2023-01-11T20:44:49.6426625Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2023-01-11T20:44:49.6428838Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2023-01-11T20:44:49.6431282Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2023-01-11T20:44:49.6433700Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2023-01-11T20:44:49.6436179Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2023-01-11T20:44:49.6438769Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2023-01-11T20:44:49.6441577Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2023-01-11T20:44:49.6445514Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2023-01-11T20:44:49.6448150Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2023-01-11T20:44:49.6451209Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2023-01-11T20:44:49.6454241Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2023-01-11T20:44:49.6457475Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2023-01-11T20:44:49.6460808Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2023-01-11T20:44:49.6464267Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2023-01-11T20:44:49.6467847Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2023-01-11T20:44:49.6471461Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2023-01-11T20:44:49.6475655Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2023-01-11T20:44:49.6479598Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2023-01-11T20:44:49.6484123Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2023-01-11T20:44:49.6488071Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2023-01-11T20:44:49.6492217Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2023-01-11T20:44:49.6496907Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2023-01-11T20:44:49.6501805Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2023-01-11T20:44:49.6506161Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2023-01-11T20:44:49.6510674Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2023-01-11T20:44:49.6515442Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2023-01-11T20:44:49.6520117Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2023-01-11T20:44:49.6525113Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2023-01-11T20:44:49.6530019Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2023-01-11T20:44:49.6535051Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2023-01-11T20:44:49.6540065Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2023-01-11T20:44:49.6545299Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2023-01-11T20:44:49.6550541Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2023-01-11T20:44:49.6556033Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2023-01-11T20:44:49.6561458Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2023-01-11T20:44:49.6567526Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2023-01-11T20:44:49.6573286Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2023-01-11T20:44:49.6579182Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2023-01-11T20:44:49.6602758Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2023-01-11T20:44:49.9712428Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2023-01-11T20:44:50.2148544Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
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2023-01-11T20:45:46.0287413Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81'
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2023-01-11T20:46:07.2634651Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx'
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2023-01-11T20:46:09.1492064Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
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2023-01-11T20:46:12.4801641Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2023-01-11T20:46:12.4873896Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
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2023-01-11T20:46:12.5260624Z Submodule path 'third_party/pybind11': checked out '80dc998efced8ceb2be59756668a7e90e8bef917'
2023-01-11T20:46:12.5336046Z Submodule path 'third_party/python-enum': checked out '4cfedc426c4e2fc52e3f5c2b4297e15ed8d6b8c7'
2023-01-11T20:46:12.5587536Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
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2023-01-11T20:46:12.7271825Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2023-01-11T20:46:12.7273968Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2023-01-11T20:46:12.7276233Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
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2023-01-11T20:46:17.0424522Z ##[endgroup]
2023-01-11T20:46:17.0424909Z ##[group]Persisting credentials for submodules
2023-01-11T20:46:17.0430312Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
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2023-01-11T20:46:17.2780699Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2023-01-11T20:46:17.3025540Z Entering 'android/libs/fbjni'
2023-01-11T20:46:17.3055502Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2023-01-11T20:46:17.3069180Z Entering 'third_party/FP16'
2023-01-11T20:46:17.3100091Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2023-01-11T20:46:17.3144359Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2023-01-11T20:46:17.3189857Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
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2023-01-11T20:46:17.3234514Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
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2023-01-11T20:46:17.3279011Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2023-01-11T20:46:17.3292677Z Entering 'third_party/XNNPACK'
2023-01-11T20:46:17.3322854Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2023-01-11T20:46:17.3345499Z Entering 'third_party/benchmark'
2023-01-11T20:46:17.3376878Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
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2023-01-11T20:46:17.3421218Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2023-01-11T20:46:17.3434791Z Entering 'third_party/cub'
2023-01-11T20:46:17.3464986Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2023-01-11T20:46:17.3478631Z Entering 'third_party/cudnn_frontend'
2023-01-11T20:46:17.3509082Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2023-01-11T20:46:17.3528005Z Entering 'third_party/cutlass'
2023-01-11T20:46:17.3558926Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
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2023-01-11T20:46:17.3608307Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2023-01-11T20:46:17.3624010Z Entering 'third_party/fbgemm'
2023-01-11T20:46:17.3655377Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2023-01-11T20:46:17.3668583Z Entering 'third_party/fbgemm/third_party/asmjit'
2023-01-11T20:46:17.3698856Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
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2023-01-11T20:46:17.3741994Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2023-01-11T20:46:17.3755255Z Entering 'third_party/fbgemm/third_party/googletest'
2023-01-11T20:46:17.3785092Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2023-01-11T20:46:17.3798539Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2023-01-11T20:46:17.3828865Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config	remote.origin.url
2023-01-11T20:46:17.3843043Z Entering 'third_party/flatbuffers'
2023-01-11T20:46:17.3873677Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2023-01-11T20:46:17.3889197Z Entering 'third_party/fmt'
2023-01-11T20:46:17.3919723Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2023-01-11T20:46:17.3933170Z Entering 'third_party/foxi'
2023-01-11T20:46:17.3963966Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2023-01-11T20:46:17.3977395Z Entering 'third_party/gemmlowp/gemmlowp'
2023-01-11T20:46:17.4008639Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2023-01-11T20:46:17.4022328Z Entering 'third_party/gloo'
2023-01-11T20:46:17.4053294Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2023-01-11T20:46:17.4067714Z Entering 'third_party/googletest'
2023-01-11T20:46:17.4099476Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2023-01-11T20:46:17.4113478Z Entering 'third_party/ideep'
2023-01-11T20:46:17.4144407Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2023-01-11T20:46:17.4157405Z Entering 'third_party/ideep/mkl-dnn'
2023-01-11T20:46:17.4188208Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2023-01-11T20:46:17.4203625Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2023-01-11T20:46:17.4235335Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2023-01-11T20:46:17.4254544Z Entering 'third_party/ios-cmake'
2023-01-11T20:46:17.4286136Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2023-01-11T20:46:17.4300078Z Entering 'third_party/ittapi'
2023-01-11T20:46:17.4330864Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2023-01-11T20:46:17.4344354Z Entering 'third_party/kineto'
2023-01-11T20:46:17.4375823Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2023-01-11T20:46:17.4389456Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2023-01-11T20:46:17.4420467Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2023-01-11T20:46:17.4433657Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2023-01-11T20:46:17.4464523Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2023-01-11T20:46:17.4478993Z Entering 'third_party/nccl/nccl'
2023-01-11T20:46:17.4510245Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2023-01-11T20:46:17.4523878Z Entering 'third_party/neon2sse'
2023-01-11T20:46:17.4554590Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2023-01-11T20:46:17.4568234Z Entering 'third_party/nlohmann'
2023-01-11T20:46:17.4598215Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2023-01-11T20:46:17.4612904Z Entering 'third_party/onnx'
2023-01-11T20:46:17.4643898Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2023-01-11T20:46:17.4668397Z Entering 'third_party/onnx/third_party/benchmark'
2023-01-11T20:46:17.4699031Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2023-01-11T20:46:17.4712943Z Entering 'third_party/onnx/third_party/pybind11'
2023-01-11T20:46:17.4743237Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2023-01-11T20:46:17.4758407Z Entering 'third_party/onnx-tensorrt'
2023-01-11T20:46:17.4789448Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2023-01-11T20:46:17.4802173Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2023-01-11T20:46:17.4832437Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2023-01-11T20:46:17.4850066Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2023-01-11T20:46:17.4880446Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2023-01-11T20:46:17.4894251Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2023-01-11T20:46:17.4925948Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2023-01-11T20:46:17.4939070Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2023-01-11T20:46:17.4970042Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2023-01-11T20:46:17.4987213Z Entering 'third_party/pocketfft'
2023-01-11T20:46:17.5017348Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2023-01-11T20:46:17.5030437Z Entering 'third_party/protobuf'
2023-01-11T20:46:17.5062375Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2023-01-11T20:46:17.5078477Z Entering 'third_party/protobuf/third_party/benchmark'
2023-01-11T20:46:17.5109314Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2023-01-11T20:46:17.5122446Z Entering 'third_party/protobuf/third_party/googletest'
2023-01-11T20:46:17.5152906Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2023-01-11T20:46:17.5168197Z Entering 'third_party/psimd'
2023-01-11T20:46:17.5199172Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2023-01-11T20:46:17.5212292Z Entering 'third_party/pthreadpool'
2023-01-11T20:46:17.5243981Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2023-01-11T20:46:17.5257186Z Entering 'third_party/pybind11'
2023-01-11T20:46:17.5287048Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2023-01-11T20:46:17.5301093Z Entering 'third_party/python-enum'
2023-01-11T20:46:17.5332195Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2023-01-11T20:46:17.5345902Z Entering 'third_party/python-peachpy'
2023-01-11T20:46:17.5376296Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2023-01-11T20:46:17.5389628Z Entering 'third_party/python-six'
2023-01-11T20:46:17.5420364Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2023-01-11T20:46:17.5433678Z Entering 'third_party/sleef'
2023-01-11T20:46:17.5464933Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2023-01-11T20:46:17.5478267Z Entering 'third_party/tbb'
2023-01-11T20:46:17.5508899Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2023-01-11T20:46:17.5524327Z Entering 'third_party/tensorpipe'
2023-01-11T20:46:17.5555069Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2023-01-11T20:46:17.5569763Z Entering 'third_party/tensorpipe/third_party/googletest'
2023-01-11T20:46:17.5599999Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2023-01-11T20:46:17.5612881Z Entering 'third_party/tensorpipe/third_party/libnop'
2023-01-11T20:46:17.5643208Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2023-01-11T20:46:17.5656793Z Entering 'third_party/tensorpipe/third_party/libuv'
2023-01-11T20:46:17.5685963Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2023-01-11T20:46:17.5699814Z Entering 'third_party/tensorpipe/third_party/pybind11'
2023-01-11T20:46:17.5730806Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2023-01-11T20:46:17.5743316Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2023-01-11T20:46:17.5774967Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2023-01-11T20:46:17.5791013Z Entering 'third_party/zstd'
2023-01-11T20:46:17.5822236Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2023-01-11T20:46:17.6441108Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2023-01-11T20:46:17.6694299Z Entering 'android/libs/fbjni'
2023-01-11T20:46:17.6727711Z Entering 'third_party/FP16'
2023-01-11T20:46:17.6761970Z Entering 'third_party/FXdiv'
2023-01-11T20:46:17.6796121Z Entering 'third_party/NNPACK'
2023-01-11T20:46:17.6830256Z Entering 'third_party/QNNPACK'
2023-01-11T20:46:17.6865585Z Entering 'third_party/VulkanMemoryAllocator'
2023-01-11T20:46:17.6899901Z Entering 'third_party/XNNPACK'
2023-01-11T20:46:17.6943685Z Entering 'third_party/benchmark'
2023-01-11T20:46:17.6977862Z Entering 'third_party/cpuinfo'
2023-01-11T20:46:17.7012393Z Entering 'third_party/cub'
2023-01-11T20:46:17.7047094Z Entering 'third_party/cudnn_frontend'
2023-01-11T20:46:17.7087275Z Entering 'third_party/cutlass'
2023-01-11T20:46:17.7128116Z Entering 'third_party/eigen'
2023-01-11T20:46:17.7165621Z Entering 'third_party/fbgemm'
2023-01-11T20:46:17.7199380Z Entering 'third_party/fbgemm/third_party/asmjit'
2023-01-11T20:46:17.7232859Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2023-01-11T20:46:17.7268410Z Entering 'third_party/fbgemm/third_party/googletest'
2023-01-11T20:46:17.7302607Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2023-01-11T20:46:17.7337104Z Entering 'third_party/flatbuffers'
2023-01-11T20:46:17.7374727Z Entering 'third_party/fmt'
2023-01-11T20:46:17.7408357Z Entering 'third_party/foxi'
2023-01-11T20:46:17.7441313Z Entering 'third_party/gemmlowp/gemmlowp'
2023-01-11T20:46:17.7474925Z Entering 'third_party/gloo'
2023-01-11T20:46:17.7508472Z Entering 'third_party/googletest'
2023-01-11T20:46:17.7543406Z Entering 'third_party/ideep'
2023-01-11T20:46:17.7576077Z Entering 'third_party/ideep/mkl-dnn'
2023-01-11T20:46:17.7611336Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2023-01-11T20:46:17.7651195Z Entering 'third_party/ios-cmake'
2023-01-11T20:46:17.7685242Z Entering 'third_party/ittapi'
2023-01-11T20:46:17.7718570Z Entering 'third_party/kineto'
2023-01-11T20:46:17.7752427Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2023-01-11T20:46:17.7785747Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2023-01-11T20:46:17.7821083Z Entering 'third_party/nccl/nccl'
2023-01-11T20:46:17.7855688Z Entering 'third_party/neon2sse'
2023-01-11T20:46:17.7888336Z Entering 'third_party/nlohmann'
2023-01-11T20:46:17.7922563Z Entering 'third_party/onnx'
2023-01-11T20:46:17.7968697Z Entering 'third_party/onnx/third_party/benchmark'
2023-01-11T20:46:17.8001662Z Entering 'third_party/onnx/third_party/pybind11'
2023-01-11T20:46:17.8037055Z Entering 'third_party/onnx-tensorrt'
2023-01-11T20:46:17.8069738Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2023-01-11T20:46:17.8107149Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2023-01-11T20:46:17.8142030Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2023-01-11T20:46:17.8175479Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2023-01-11T20:46:17.8213560Z Entering 'third_party/pocketfft'
2023-01-11T20:46:17.8248638Z Entering 'third_party/protobuf'
2023-01-11T20:46:17.8285307Z Entering 'third_party/protobuf/third_party/benchmark'
2023-01-11T20:46:17.8318404Z Entering 'third_party/protobuf/third_party/googletest'
2023-01-11T20:46:17.8353507Z Entering 'third_party/psimd'
2023-01-11T20:46:17.8387996Z Entering 'third_party/pthreadpool'
2023-01-11T20:46:17.8421447Z Entering 'third_party/pybind11'
2023-01-11T20:46:17.8455890Z Entering 'third_party/python-enum'
2023-01-11T20:46:17.8490520Z Entering 'third_party/python-peachpy'
2023-01-11T20:46:17.8523271Z Entering 'third_party/python-six'
2023-01-11T20:46:17.8557518Z Entering 'third_party/sleef'
2023-01-11T20:46:17.8591558Z Entering 'third_party/tbb'
2023-01-11T20:46:17.8626811Z Entering 'third_party/tensorpipe'
2023-01-11T20:46:17.8662153Z Entering 'third_party/tensorpipe/third_party/googletest'
2023-01-11T20:46:17.8697378Z Entering 'third_party/tensorpipe/third_party/libnop'
2023-01-11T20:46:17.8730185Z Entering 'third_party/tensorpipe/third_party/libuv'
2023-01-11T20:46:17.8765210Z Entering 'third_party/tensorpipe/third_party/pybind11'
2023-01-11T20:46:17.8797385Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2023-01-11T20:46:17.8833533Z Entering 'third_party/zstd'
2023-01-11T20:46:17.8878738Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2023-01-11T20:46:17.9133206Z Entering 'android/libs/fbjni'
2023-01-11T20:46:17.9167367Z Entering 'third_party/FP16'
2023-01-11T20:46:17.9201446Z Entering 'third_party/FXdiv'
2023-01-11T20:46:17.9235204Z Entering 'third_party/NNPACK'
2023-01-11T20:46:17.9269474Z Entering 'third_party/QNNPACK'
2023-01-11T20:46:17.9304666Z Entering 'third_party/VulkanMemoryAllocator'
2023-01-11T20:46:17.9339185Z Entering 'third_party/XNNPACK'
2023-01-11T20:46:17.9382897Z Entering 'third_party/benchmark'
2023-01-11T20:46:17.9417545Z Entering 'third_party/cpuinfo'
2023-01-11T20:46:17.9452386Z Entering 'third_party/cub'
2023-01-11T20:46:17.9486018Z Entering 'third_party/cudnn_frontend'
2023-01-11T20:46:17.9524165Z Entering 'third_party/cutlass'
2023-01-11T20:46:17.9562854Z Entering 'third_party/eigen'
2023-01-11T20:46:17.9598105Z Entering 'third_party/fbgemm'
2023-01-11T20:46:17.9631531Z Entering 'third_party/fbgemm/third_party/asmjit'
2023-01-11T20:46:17.9664411Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2023-01-11T20:46:17.9697606Z Entering 'third_party/fbgemm/third_party/googletest'
2023-01-11T20:46:17.9731193Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2023-01-11T20:46:17.9764678Z Entering 'third_party/flatbuffers'
2023-01-11T20:46:17.9799276Z Entering 'third_party/fmt'
2023-01-11T20:46:17.9832497Z Entering 'third_party/foxi'
2023-01-11T20:46:17.9866371Z Entering 'third_party/gemmlowp/gemmlowp'
2023-01-11T20:46:17.9900510Z Entering 'third_party/gloo'
2023-01-11T20:46:17.9933984Z Entering 'third_party/googletest'
2023-01-11T20:46:17.9967476Z Entering 'third_party/ideep'
2023-01-11T20:46:18.0000758Z Entering 'third_party/ideep/mkl-dnn'
2023-01-11T20:46:18.0035447Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2023-01-11T20:46:18.0074638Z Entering 'third_party/ios-cmake'
2023-01-11T20:46:18.0108746Z Entering 'third_party/ittapi'
2023-01-11T20:46:18.0142183Z Entering 'third_party/kineto'
2023-01-11T20:46:18.0175635Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2023-01-11T20:46:18.0207948Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2023-01-11T20:46:18.0241778Z Entering 'third_party/nccl/nccl'
2023-01-11T20:46:18.0275298Z Entering 'third_party/neon2sse'
2023-01-11T20:46:18.0307672Z Entering 'third_party/nlohmann'
2023-01-11T20:46:18.0342669Z Entering 'third_party/onnx'
2023-01-11T20:46:18.0385830Z Entering 'third_party/onnx/third_party/benchmark'
2023-01-11T20:46:18.0420341Z Entering 'third_party/onnx/third_party/pybind11'
2023-01-11T20:46:18.0454887Z Entering 'third_party/onnx-tensorrt'
2023-01-11T20:46:18.0487393Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2023-01-11T20:46:18.0524468Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2023-01-11T20:46:18.0556995Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2023-01-11T20:46:18.0590110Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2023-01-11T20:46:18.0626860Z Entering 'third_party/pocketfft'
2023-01-11T20:46:18.0659893Z Entering 'third_party/protobuf'
2023-01-11T20:46:18.0695387Z Entering 'third_party/protobuf/third_party/benchmark'
2023-01-11T20:46:18.0727601Z Entering 'third_party/protobuf/third_party/googletest'
2023-01-11T20:46:18.0762554Z Entering 'third_party/psimd'
2023-01-11T20:46:18.0795843Z Entering 'third_party/pthreadpool'
2023-01-11T20:46:18.0828809Z Entering 'third_party/pybind11'
2023-01-11T20:46:18.0862481Z Entering 'third_party/python-enum'
2023-01-11T20:46:18.0895829Z Entering 'third_party/python-peachpy'
2023-01-11T20:46:18.0928555Z Entering 'third_party/python-six'
2023-01-11T20:46:18.0961647Z Entering 'third_party/sleef'
2023-01-11T20:46:18.0995691Z Entering 'third_party/tbb'
2023-01-11T20:46:18.1029979Z Entering 'third_party/tensorpipe'
2023-01-11T20:46:18.1063320Z Entering 'third_party/tensorpipe/third_party/googletest'
2023-01-11T20:46:18.1096147Z Entering 'third_party/tensorpipe/third_party/libnop'
2023-01-11T20:46:18.1136040Z Entering 'third_party/tensorpipe/third_party/libuv'
2023-01-11T20:46:18.1165073Z Entering 'third_party/tensorpipe/third_party/pybind11'
2023-01-11T20:46:18.1197066Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2023-01-11T20:46:18.1232682Z Entering 'third_party/zstd'
2023-01-11T20:46:18.1273931Z ##[endgroup]
2023-01-11T20:46:18.1310458Z [command]/usr/bin/git log -1 --format='%H'
2023-01-11T20:46:18.1336530Z '8419ddda87c8a47eacc63b54bc7ec98c1f27c26e'
2023-01-11T20:46:18.1451269Z Prepare all required actions
2023-01-11T20:46:18.1475774Z ##[group]Run ./.github/actions/setup-linux
2023-01-11T20:46:18.1476005Z env:
2023-01-11T20:46:18.1476201Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.1476419Z ##[endgroup]
2023-01-11T20:46:18.1490882Z ##[group]Run set -euo pipefail
2023-01-11T20:46:18.1491138Z set -euo pipefail
2023-01-11T20:46:18.1491380Z function get_ec2_metadata() {
2023-01-11T20:46:18.1491661Z   # Pulled from instance metadata endpoint for EC2
2023-01-11T20:46:18.1492042Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2023-01-11T20:46:18.1492353Z   category=$1
2023-01-11T20:46:18.1492623Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2023-01-11T20:46:18.1492880Z }
2023-01-11T20:46:18.1493095Z echo "ami-id: $(get_ec2_metadata ami-id)"
2023-01-11T20:46:18.1493411Z echo "instance-id: $(get_ec2_metadata instance-id)"
2023-01-11T20:46:18.1493703Z echo "instance-type: $(get_ec2_metadata instance-type)"
2023-01-11T20:46:18.1493987Z echo "system info $(uname -a)"
2023-01-11T20:46:18.1505622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:46:18.1505855Z env:
2023-01-11T20:46:18.1506062Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.1506280Z ##[endgroup]
2023-01-11T20:46:18.1581914Z ami-id: ami-096198a0bccc6bad4
2023-01-11T20:46:18.1630669Z instance-id: i-01f2ab378c1fce18b
2023-01-11T20:46:18.1677472Z instance-type: c5.2xlarge
2023-01-11T20:46:18.1683811Z system info Linux ip-10-0-1-249.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2023-01-11T20:46:18.1697978Z ##[group]Run if systemctl is-active --quiet docker; then
2023-01-11T20:46:18.1698264Z if systemctl is-active --quiet docker; then
2023-01-11T20:46:18.1698510Z     echo "Docker daemon is running...";
2023-01-11T20:46:18.1698709Z else
2023-01-11T20:46:18.1698946Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2023-01-11T20:46:18.1699172Z fi
2023-01-11T20:46:18.1709619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:46:18.1709835Z env:
2023-01-11T20:46:18.1710011Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.1710183Z ##[endgroup]
2023-01-11T20:46:18.1758454Z Docker daemon is running...
2023-01-11T20:46:18.1772280Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2023-01-11T20:46:18.1772625Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2023-01-11T20:46:18.1772901Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2023-01-11T20:46:18.1773286Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2023-01-11T20:46:18.1773633Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2023-01-11T20:46:18.1783585Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:46:18.1783800Z env:
2023-01-11T20:46:18.1783970Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.1784150Z   AWS_RETRY_MODE: standard
2023-01-11T20:46:18.1784339Z   AWS_MAX_ATTEMPTS: 5
2023-01-11T20:46:18.1784534Z   AWS_DEFAULT_REGION: us-east-1
2023-01-11T20:46:18.1784709Z ##[endgroup]
2023-01-11T20:46:18.9029697Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2023-01-11T20:46:18.9030258Z Configure a credential helper to remove this warning. See
2023-01-11T20:46:18.9030880Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2023-01-11T20:46:18.9031183Z 
2023-01-11T20:46:18.9031429Z Login Succeeded
2023-01-11T20:46:18.9058928Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2023-01-11T20:46:18.9059216Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2023-01-11T20:46:18.9059553Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2023-01-11T20:46:18.9070585Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:46:18.9070788Z env:
2023-01-11T20:46:18.9070960Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.9071143Z ##[endgroup]
2023-01-11T20:46:18.9141813Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2023-01-11T20:46:18.9142093Z with:
2023-01-11T20:46:18.9142460Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:46:18.9142799Z env:
2023-01-11T20:46:18.9143004Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.9143215Z ##[endgroup]
2023-01-11T20:46:18.9155236Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2023-01-11T20:46:18.9155536Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2023-01-11T20:46:18.9155832Z # ignore output since only exit code is used for conditional
2023-01-11T20:46:18.9156138Z # only pull docker image if it's not available locally
2023-01-11T20:46:18.9156458Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2023-01-11T20:46:18.9156780Z   retry docker pull "${DOCKER_IMAGE}"
2023-01-11T20:46:18.9157003Z fi
2023-01-11T20:46:18.9167633Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:46:18.9167880Z env:
2023-01-11T20:46:18.9168083Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:46:18.9168459Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:46:18.9168815Z ##[endgroup]
2023-01-11T20:46:19.1443148Z fd224c2e6c79d7fdec6408da598bf52bc5b201dd: Pulling from pytorch/pytorch-linux-focal-py3.7-gcc7
2023-01-11T20:46:19.1449182Z 846c0b181fff: Pulling fs layer
2023-01-11T20:46:19.1449910Z 0698304963f1: Pulling fs layer
2023-01-11T20:46:19.1450702Z 77ce1d4f36bf: Pulling fs layer
2023-01-11T20:46:19.1451101Z d39938d48fa2: Pulling fs layer
2023-01-11T20:46:19.1451407Z ae4dac5a8919: Pulling fs layer
2023-01-11T20:46:19.1451636Z 4ff68f5f773b: Pulling fs layer
2023-01-11T20:46:19.1451835Z 47642f12aa0f: Pulling fs layer
2023-01-11T20:46:19.1452045Z 3c02291730dc: Pulling fs layer
2023-01-11T20:46:19.1452348Z c7165c4f5e23: Pulling fs layer
2023-01-11T20:46:19.1452546Z 8357faec0a0e: Pulling fs layer
2023-01-11T20:46:19.1452729Z 42fee15d0ad3: Pulling fs layer
2023-01-11T20:46:19.1452964Z 246016b9e8c8: Pulling fs layer
2023-01-11T20:46:19.1453146Z 3c02291730dc: Waiting
2023-01-11T20:46:19.1453372Z 25be21861eed: Pulling fs layer
2023-01-11T20:46:19.1453592Z c7165c4f5e23: Waiting
2023-01-11T20:46:19.1453806Z ae4dac5a8919: Waiting
2023-01-11T20:46:19.1453984Z 21ac276b84eb: Pulling fs layer
2023-01-11T20:46:19.1454166Z 8357faec0a0e: Waiting
2023-01-11T20:46:19.1454346Z 47642f12aa0f: Waiting
2023-01-11T20:46:19.1454537Z 4ff68f5f773b: Waiting
2023-01-11T20:46:19.1454721Z bd695a285c41: Pulling fs layer
2023-01-11T20:46:19.1454911Z 9af030ba5896: Pulling fs layer
2023-01-11T20:46:19.1455158Z 0ab7fbe28a03: Pulling fs layer
2023-01-11T20:46:19.1455519Z f5dba516d75a: Pulling fs layer
2023-01-11T20:46:19.1455880Z 944388bd6de3: Pulling fs layer
2023-01-11T20:46:19.1456105Z 32233288f470: Pulling fs layer
2023-01-11T20:46:19.1456270Z 246016b9e8c8: Waiting
2023-01-11T20:46:19.1456451Z 4716e681e05e: Pulling fs layer
2023-01-11T20:46:19.1456629Z 25be21861eed: Waiting
2023-01-11T20:46:19.1456798Z 07008cd698a0: Pulling fs layer
2023-01-11T20:46:19.1456975Z 21ac276b84eb: Waiting
2023-01-11T20:46:19.1457155Z 27f046e694b1: Pulling fs layer
2023-01-11T20:46:19.1457331Z 95f903a2e692: Pulling fs layer
2023-01-11T20:46:19.1457522Z 1d465abcef1e: Pulling fs layer
2023-01-11T20:46:19.1457858Z 32fdce95f2af: Pulling fs layer
2023-01-11T20:46:19.1458038Z 38f17f1788cc: Pulling fs layer
2023-01-11T20:46:19.1458221Z bd695a285c41: Waiting
2023-01-11T20:46:19.1458409Z fa2049e24ad0: Pulling fs layer
2023-01-11T20:46:19.1458586Z 070d94af58e3: Pulling fs layer
2023-01-11T20:46:19.1458767Z 9af030ba5896: Waiting
2023-01-11T20:46:19.1458952Z 9ff218827ef0: Pulling fs layer
2023-01-11T20:46:19.1459133Z 0effc56e2dd9: Pulling fs layer
2023-01-11T20:46:19.1459350Z bd453ee44627: Pulling fs layer
2023-01-11T20:46:19.1459598Z e999c29eb8b9: Pulling fs layer
2023-01-11T20:46:19.1459788Z 566e975723c3: Pulling fs layer
2023-01-11T20:46:19.1459952Z 95f903a2e692: Waiting
2023-01-11T20:46:19.1460122Z 07008cd698a0: Waiting
2023-01-11T20:46:19.1460300Z 1072a14c5615: Pulling fs layer
2023-01-11T20:46:19.1460472Z 9ae70c90b543: Pulling fs layer
2023-01-11T20:46:19.1460661Z e6f8bf185266: Pulling fs layer
2023-01-11T20:46:19.1460842Z 944388bd6de3: Waiting
2023-01-11T20:46:19.1461013Z 01ff2898de6c: Pulling fs layer
2023-01-11T20:46:19.1461195Z 4716e681e05e: Waiting
2023-01-11T20:46:19.1461376Z 98f07e351fe7: Pulling fs layer
2023-01-11T20:46:19.1461873Z 9ff218827ef0: Waiting
2023-01-11T20:46:19.1462146Z d39938d48fa2: Waiting
2023-01-11T20:46:19.1462413Z 32fdce95f2af: Waiting
2023-01-11T20:46:19.1462724Z e426b18803bb: Pulling fs layer
2023-01-11T20:46:19.1463045Z 38f17f1788cc: Waiting
2023-01-11T20:46:19.1463353Z da3dd65b2531: Pulling fs layer
2023-01-11T20:46:19.1463616Z fa2049e24ad0: Waiting
2023-01-11T20:46:19.1463873Z 070d94af58e3: Waiting
2023-01-11T20:46:19.1464055Z 5c3ec8735bee: Pulling fs layer
2023-01-11T20:46:19.1464225Z e999c29eb8b9: Waiting
2023-01-11T20:46:19.1464402Z b616c89406f0: Pulling fs layer
2023-01-11T20:46:19.1464579Z 566e975723c3: Waiting
2023-01-11T20:46:19.1464786Z f48f88ff2185: Pulling fs layer
2023-01-11T20:46:19.1464976Z 46e0cb4c14f2: Pulling fs layer
2023-01-11T20:46:19.1465157Z 1072a14c5615: Waiting
2023-01-11T20:46:19.1465322Z 300515e4431f: Pulling fs layer
2023-01-11T20:46:19.1465513Z 9df79d1a6e27: Pulling fs layer
2023-01-11T20:46:19.1465719Z 9ae70c90b543: Waiting
2023-01-11T20:46:19.1465903Z 3cda6364e15e: Pulling fs layer
2023-01-11T20:46:19.1466092Z 7fc4121e1952: Pulling fs layer
2023-01-11T20:46:19.1466269Z e6f8bf185266: Waiting
2023-01-11T20:46:19.1466438Z 676dcfb6d5c2: Pulling fs layer
2023-01-11T20:46:19.1466618Z 01ff2898de6c: Waiting
2023-01-11T20:46:19.1466796Z 130a71e99e46: Pulling fs layer
2023-01-11T20:46:19.1466968Z 932461d264d4: Pulling fs layer
2023-01-11T20:46:19.1467142Z 98f07e351fe7: Waiting
2023-01-11T20:46:19.1467318Z 5c3ec8735bee: Waiting
2023-01-11T20:46:19.1467485Z 6cce994e24e8: Pulling fs layer
2023-01-11T20:46:19.1467674Z b37b5d679247: Pulling fs layer
2023-01-11T20:46:19.1467863Z 86ad3a500f17: Pulling fs layer
2023-01-11T20:46:19.1468028Z e426b18803bb: Waiting
2023-01-11T20:46:19.1468208Z 93e8483d7d76: Pulling fs layer
2023-01-11T20:46:19.1468384Z da3dd65b2531: Waiting
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2023-01-11T20:46:19.1468734Z 9df79d1a6e27: Waiting
2023-01-11T20:46:19.1468919Z a7f9c3a7c21d: Pulling fs layer
2023-01-11T20:46:19.1469093Z 932461d264d4: Waiting
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2023-01-11T20:46:19.1470714Z f48f88ff2185: Waiting
2023-01-11T20:46:19.1470883Z 1d465abcef1e: Waiting
2023-01-11T20:46:19.1471052Z ad1ecb94a573: Waiting
2023-01-11T20:46:19.1471244Z 32233288f470: Waiting
2023-01-11T20:46:19.2344138Z 0698304963f1: Verifying Checksum
2023-01-11T20:46:19.2344520Z 0698304963f1: Download complete
2023-01-11T20:46:19.3034713Z d39938d48fa2: Verifying Checksum
2023-01-11T20:46:19.3035177Z d39938d48fa2: Download complete
2023-01-11T20:46:19.4019791Z ae4dac5a8919: Verifying Checksum
2023-01-11T20:46:19.4020207Z ae4dac5a8919: Download complete
2023-01-11T20:46:19.4809341Z 846c0b181fff: Verifying Checksum
2023-01-11T20:46:19.4809794Z 846c0b181fff: Download complete
2023-01-11T20:46:19.4925451Z 4ff68f5f773b: Download complete
2023-01-11T20:46:19.5492002Z 47642f12aa0f: Verifying Checksum
2023-01-11T20:46:19.5492455Z 47642f12aa0f: Download complete
2023-01-11T20:46:19.5831126Z 3c02291730dc: Verifying Checksum
2023-01-11T20:46:19.5831600Z 3c02291730dc: Download complete
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2023-01-11T20:46:19.7680786Z 246016b9e8c8: Download complete
2023-01-11T20:46:19.8751986Z 25be21861eed: Verifying Checksum
2023-01-11T20:46:19.8752279Z 25be21861eed: Download complete
2023-01-11T20:46:20.2030335Z 846c0b181fff: Pull complete
2023-01-11T20:46:20.3122984Z 0698304963f1: Pull complete
2023-01-11T20:46:20.5133232Z 42fee15d0ad3: Verifying Checksum
2023-01-11T20:46:20.5133692Z 42fee15d0ad3: Download complete
2023-01-11T20:46:20.5996159Z bd695a285c41: Verifying Checksum
2023-01-11T20:46:20.5996563Z bd695a285c41: Download complete
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2023-01-11T20:46:21.1740693Z 0ab7fbe28a03: Verifying Checksum
2023-01-11T20:46:21.1741060Z 0ab7fbe28a03: Download complete
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2023-01-11T20:46:21.3496300Z 944388bd6de3: Verifying Checksum
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2023-01-11T20:46:21.4200691Z 32233288f470: Verifying Checksum
2023-01-11T20:46:21.4201055Z 32233288f470: Download complete
2023-01-11T20:46:21.5030447Z 4716e681e05e: Verifying Checksum
2023-01-11T20:46:21.5030886Z 4716e681e05e: Download complete
2023-01-11T20:46:21.5959912Z 07008cd698a0: Download complete
2023-01-11T20:46:21.6769715Z 27f046e694b1: Verifying Checksum
2023-01-11T20:46:21.6770128Z 27f046e694b1: Download complete
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2023-01-11T20:46:22.3763145Z 32fdce95f2af: Verifying Checksum
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2023-01-11T20:46:22.4460588Z 38f17f1788cc: Download complete
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2023-01-11T20:46:22.5499132Z fa2049e24ad0: Download complete
2023-01-11T20:46:22.6387313Z 070d94af58e3: Download complete
2023-01-11T20:46:22.7162236Z 1d465abcef1e: Verifying Checksum
2023-01-11T20:46:22.7162742Z 1d465abcef1e: Download complete
2023-01-11T20:46:22.7364328Z 9ff218827ef0: Verifying Checksum
2023-01-11T20:46:22.7364848Z 9ff218827ef0: Download complete
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2023-01-11T20:46:23.0089492Z 566e975723c3: Verifying Checksum
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2023-01-11T20:46:23.3400557Z 01ff2898de6c: Download complete
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2023-01-11T20:46:23.4931616Z e426b18803bb: Verifying Checksum
2023-01-11T20:46:23.4931989Z e426b18803bb: Download complete
2023-01-11T20:46:23.5742393Z da3dd65b2531: Verifying Checksum
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2023-01-11T20:46:23.6560792Z 5c3ec8735bee: Verifying Checksum
2023-01-11T20:46:23.6561245Z 5c3ec8735bee: Download complete
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2023-01-11T20:46:24.2364963Z f48f88ff2185: Verifying Checksum
2023-01-11T20:46:24.2365523Z f48f88ff2185: Download complete
2023-01-11T20:46:24.3194841Z 46e0cb4c14f2: Verifying Checksum
2023-01-11T20:46:24.3195292Z 46e0cb4c14f2: Download complete
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2023-01-11T20:46:24.4678564Z 9df79d1a6e27: Verifying Checksum
2023-01-11T20:46:24.4679291Z 9df79d1a6e27: Download complete
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2023-01-11T20:46:24.9699480Z 0effc56e2dd9: Verifying Checksum
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2023-01-11T20:46:24.9820942Z 130a71e99e46: Verifying Checksum
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2023-01-11T20:47:12.1440954Z Digest: sha256:d201d5d219c1681863b90b8d50e8b2382dd0a533dc69c772527c8255937144a4
2023-01-11T20:47:12.1857135Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:47:12.2059599Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:47:12.2107647Z ##[group]Run python3 -m pip install psutil==5.9.1
2023-01-11T20:47:12.2107925Z python3 -m pip install psutil==5.9.1
2023-01-11T20:47:12.2108149Z python3 -m pip install pynvml==11.4.1
2023-01-11T20:47:12.2108408Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
2023-01-11T20:47:12.2108686Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2023-01-11T20:47:12.2119834Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:47:12.2120036Z env:
2023-01-11T20:47:12.2120211Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:12.2120396Z ##[endgroup]
2023-01-11T20:47:12.8053338Z Defaulting to user installation because normal site-packages is not writeable
2023-01-11T20:47:12.8233228Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1)
2023-01-11T20:47:13.2360868Z Defaulting to user installation because normal site-packages is not writeable
2023-01-11T20:47:13.2544230Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1)
2023-01-11T20:47:13.4637686Z Prepare all required actions
2023-01-11T20:47:13.4637946Z Getting action download info
2023-01-11T20:47:13.6628749Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea)
2023-01-11T20:47:13.9297873Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a)
2023-01-11T20:47:14.0617164Z ##[group]Run ./.github/actions/download-build-artifacts
2023-01-11T20:47:14.0617371Z with:
2023-01-11T20:47:14.0617589Z   name: parallelnative-linux-focal-py3.7-gcc7
2023-01-11T20:47:14.0617805Z env:
2023-01-11T20:47:14.0617962Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:14.0618155Z ##[endgroup]
2023-01-11T20:47:14.0739797Z ##[group]Run seemethere/download-artifact-s3@v4
2023-01-11T20:47:14.0740007Z with:
2023-01-11T20:47:14.0740227Z   name: parallelnative-linux-focal-py3.7-gcc7
2023-01-11T20:47:14.0740455Z   s3-bucket: gha-artifacts
2023-01-11T20:47:14.0740645Z   region: us-east-1
2023-01-11T20:47:14.0740841Z env:
2023-01-11T20:47:14.0740997Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:14.0741179Z ##[endgroup]
2023-01-11T20:47:14.4759188Z Found 1 objects with prefix pytorch/pytorch/3896346758/parallelnative-linux-focal-py3.7-gcc7/
2023-01-11T20:47:14.4759694Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2023-01-11T20:47:21.2900203Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2023-01-11T20:47:21.2900446Z 
2023-01-11T20:47:21.2915421Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2023-01-11T20:47:21.2923128Z Artifact download has finished successfully
2023-01-11T20:47:21.3091032Z ##[group]Run unzip -o artifacts.zip
2023-01-11T20:47:21.3091244Z unzip -o artifacts.zip
2023-01-11T20:47:21.3102384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:47:21.3102598Z env:
2023-01-11T20:47:21.3102757Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:21.3102946Z ##[endgroup]
2023-01-11T20:47:21.3137710Z Archive:  artifacts.zip
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2023-01-11T20:47:25.9746527Z   inflating: build/bin/memory_overlapping_test  
2023-01-11T20:47:25.9794884Z   inflating: build/bin/native_test   
2023-01-11T20:47:25.9876234Z   inflating: build/bin/ivalue_test   
2023-01-11T20:47:25.9920476Z   inflating: build/bin/operator_name_test  
2023-01-11T20:47:25.9966101Z   inflating: build/bin/mobile_memory_cleanup  
2023-01-11T20:47:26.0009550Z   inflating: build/bin/operators_test  
2023-01-11T20:47:26.0055432Z   inflating: build/bin/packedtensoraccessor_test  
2023-01-11T20:47:26.0105342Z   inflating: build/bin/quantized_test  
2023-01-11T20:47:26.0154447Z   inflating: build/bin/scalar_tensor_test  
2023-01-11T20:47:26.0198758Z   inflating: build/bin/reportMemoryUsage_test  
2023-01-11T20:47:26.0248375Z   inflating: build/bin/scalar_test   
2023-01-11T20:47:26.0293816Z   inflating: build/bin/stride_properties_test  
2023-01-11T20:47:26.0360952Z   inflating: build/bin/tensor_iterator_test  
2023-01-11T20:47:26.0408562Z   inflating: build/bin/type_ptr_test  
2023-01-11T20:47:26.0451101Z   inflating: build/bin/reduce_ops_test  
2023-01-11T20:47:26.0494169Z   inflating: build/bin/variant_test  
2023-01-11T20:47:26.0495511Z   inflating: build/bin/verify_api_visibility  
2023-01-11T20:47:26.0498025Z   inflating: build/bin/thread_init_test  
2023-01-11T20:47:26.0557709Z   inflating: build/bin/legacy_vmap_test  
2023-01-11T20:47:26.0602044Z   inflating: build/bin/weakref_test  
2023-01-11T20:47:26.0646249Z   inflating: build/bin/wrapdim_test  
2023-01-11T20:47:26.0694811Z   inflating: build/bin/test_parallel  
2023-01-11T20:47:26.0737110Z   inflating: build/bin/xla_tensor_test  
2023-01-11T20:47:26.1748580Z   inflating: build/bin/test_api      
2023-01-11T20:47:26.1800525Z   inflating: build/bin/IListRef_test  
2023-01-11T20:47:26.1893551Z   inflating: build/bin/List_test     
2023-01-11T20:47:26.1998143Z   inflating: build/bin/kernel_function_legacy_test  
2023-01-11T20:47:26.2054102Z   inflating: build/bin/KernelFunction_test  
2023-01-11T20:47:26.2136665Z   inflating: build/bin/kernel_function_test  
2023-01-11T20:47:26.2246644Z   inflating: build/bin/kernel_lambda_legacy_test  
2023-01-11T20:47:26.2335188Z   inflating: build/bin/kernel_lambda_test  
2023-01-11T20:47:26.2387399Z   inflating: build/bin/kernel_stackbased_test  
2023-01-11T20:47:26.2431511Z   inflating: build/bin/CppSignature_test  
2023-01-11T20:47:26.2513516Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2023-01-11T20:47:26.2562123Z   inflating: build/bin/backend_fallback_test  
2023-01-11T20:47:26.2603843Z   inflating: build/bin/op_allowlist_test  
2023-01-11T20:47:26.2650849Z   inflating: build/bin/inline_container_test  
2023-01-11T20:47:26.2894933Z   inflating: build/bin/op_registration_test  
2023-01-11T20:47:26.2899620Z   inflating: build/bin/torch_shm_manager  
2023-01-11T20:47:26.2949257Z   inflating: build/bin/test_edge_op_registration  
2023-01-11T20:47:26.2963249Z   inflating: build/bin/tutorial_tensorexpr  
2023-01-11T20:47:26.3641968Z   inflating: build/bin/test_tensorexpr  
2023-01-11T20:47:26.4135660Z   inflating: build/bin/test_jit      
2023-01-11T20:47:26.4136596Z   inflating: .pytorch-test-times.json  
2023-01-11T20:47:26.4164142Z ##[group]Run df -H
2023-01-11T20:47:26.4164407Z df -H
2023-01-11T20:47:26.4178281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T20:47:26.4178488Z env:
2023-01-11T20:47:26.4178661Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:26.4178848Z ##[endgroup]
2023-01-11T20:47:26.4210305Z Filesystem      Size  Used Avail Use% Mounted on
2023-01-11T20:47:26.4210640Z devtmpfs        8.2G     0  8.2G   0% /dev
2023-01-11T20:47:26.4210890Z tmpfs           8.2G  3.2M  8.2G   1% /dev/shm
2023-01-11T20:47:26.4211082Z tmpfs           8.2G  431k  8.2G   1% /run
2023-01-11T20:47:26.4211290Z tmpfs           8.2G     0  8.2G   0% /sys/fs/cgroup
2023-01-11T20:47:26.4211499Z /dev/nvme0n1p1  162G   15G  147G  10% /
2023-01-11T20:47:26.4279646Z ##[group]Run .github/scripts/parse_ref.py
2023-01-11T20:47:26.4279966Z .github/scripts/parse_ref.py
2023-01-11T20:47:26.4290212Z shell: /usr/bin/bash -e {0}
2023-01-11T20:47:26.4290458Z env:
2023-01-11T20:47:26.4290620Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:26.4290811Z ##[endgroup]
2023-01-11T20:47:26.4503205Z ##[group]Run set -x
2023-01-11T20:47:26.4503467Z set -x
2023-01-11T20:47:26.4503633Z 
2023-01-11T20:47:26.4503815Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2023-01-11T20:47:26.4504069Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2023-01-11T20:47:26.4504326Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2023-01-11T20:47:26.4504561Z   TEST_COMMAND=.jenkins/onnx/test.sh
2023-01-11T20:47:26.4504742Z else
2023-01-11T20:47:26.4504943Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2023-01-11T20:47:26.4505139Z fi
2023-01-11T20:47:26.4505282Z 
2023-01-11T20:47:26.4505512Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2023-01-11T20:47:26.4505748Z 
2023-01-11T20:47:26.4505950Z # sanitize the input commit message and PR body here:
2023-01-11T20:47:26.4506159Z #
2023-01-11T20:47:26.4506435Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment
2023-01-11T20:47:26.4506793Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028
2023-01-11T20:47:26.4507103Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}"
2023-01-11T20:47:26.4507329Z PR_BODY="${PR_BODY//[$'\n\r']}"
2023-01-11T20:47:26.4507512Z 
2023-01-11T20:47:26.4507758Z # then trim all special characters like single and double quotes to avoid unescaped inputs to
2023-01-11T20:47:26.4508031Z # wreak havoc internally
2023-01-11T20:47:26.4508262Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}"
2023-01-11T20:47:26.4508486Z export PR_BODY="${PR_BODY//[\'\"]}"
2023-01-11T20:47:26.4508676Z 
2023-01-11T20:47:26.4508901Z # detached container should get cleaned up by teardown_ec2_linux
2023-01-11T20:47:26.4509181Z # TODO: Stop building test binaries as part of the build phase
2023-01-11T20:47:26.4509448Z # Used for GPU_FLAG since that doesn't play nice
2023-01-11T20:47:26.4509690Z # shellcheck disable=SC2086,SC2090
2023-01-11T20:47:26.4509908Z container_name=$(docker run \
2023-01-11T20:47:26.4510093Z   ${GPU_FLAG:-} \
2023-01-11T20:47:26.4510290Z   -e BUILD_ENVIRONMENT \
2023-01-11T20:47:26.4510484Z   -e PR_NUMBER \
2023-01-11T20:47:26.4510661Z   -e GITHUB_ACTIONS \
2023-01-11T20:47:26.4510850Z   -e BASE_SHA \
2023-01-11T20:47:26.4511029Z   -e BRANCH \
2023-01-11T20:47:26.4511192Z   -e SHA1 \
2023-01-11T20:47:26.4511378Z   -e AWS_DEFAULT_REGION \
2023-01-11T20:47:26.4511575Z   -e IN_WHEEL_TEST \
2023-01-11T20:47:26.4511753Z   -e SHARD_NUMBER \
2023-01-11T20:47:26.4511939Z   -e TEST_CONFIG \
2023-01-11T20:47:26.4512129Z   -e NUM_TEST_SHARDS \
2023-01-11T20:47:26.4512315Z   -e PR_BODY \
2023-01-11T20:47:26.4512491Z   -e COMMIT_MESSAGES \
2023-01-11T20:47:26.4512787Z   -e CONTINUE_THROUGH_ERROR \
2023-01-11T20:47:26.4513008Z   -e PYTORCH_RETRY_TEST_CASES \
2023-01-11T20:47:26.4513222Z   -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \
2023-01-11T20:47:26.4513426Z   -e PR_LABELS \
2023-01-11T20:47:26.4513633Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2023-01-11T20:47:26.4513829Z   -e SCCACHE_BUCKET \
2023-01-11T20:47:26.4514029Z   -e SCCACHE_S3_KEY_PREFIX \
2023-01-11T20:47:26.4514221Z   -e XLA_CUDA \
2023-01-11T20:47:26.4514413Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2023-01-11T20:47:26.4514641Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2023-01-11T20:47:26.4514967Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2023-01-11T20:47:26.4515221Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2023-01-11T20:47:26.4515441Z   --ulimit stack=10485760:83886080 \
2023-01-11T20:47:26.4515707Z   --security-opt seccomp=unconfined \
2023-01-11T20:47:26.4515935Z   --cap-add=SYS_PTRACE \
2023-01-11T20:47:26.4516114Z   --ipc=host \
2023-01-11T20:47:26.4516304Z   --shm-size="${SHM_SIZE}" \
2023-01-11T20:47:26.4516487Z   --tty \
2023-01-11T20:47:26.4516645Z   --detach \
2023-01-11T20:47:26.4516838Z   --name="${container_name}" \
2023-01-11T20:47:26.4517033Z   --user jenkins \
2023-01-11T20:47:26.4517250Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2023-01-11T20:47:26.4517498Z   -w /var/lib/jenkins/workspace \
2023-01-11T20:47:26.4517702Z   "${DOCKER_IMAGE}"
2023-01-11T20:47:26.4517872Z )
2023-01-11T20:47:26.4518080Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2023-01-11T20:47:26.4518407Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2023-01-11T20:47:26.4528673Z shell: /usr/bin/bash -e {0}
2023-01-11T20:47:26.4528841Z env:
2023-01-11T20:47:26.4529016Z   GIT_DEFAULT_BRANCH: master
2023-01-11T20:47:26.4529283Z   BUILD_ENVIRONMENT: parallelnative-linux-focal-py3.7-gcc7
2023-01-11T20:47:26.4529509Z   PR_NUMBER: 
2023-01-11T20:47:26.4529669Z   BRANCH: 
2023-01-11T20:47:26.4529873Z   SHA1: 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:26.4530110Z   BASE_SHA: 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:26.4530332Z   PYTORCH_RETRY_TEST_CASES: 1
2023-01-11T20:47:26.4530535Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2023-01-11T20:47:26.4530718Z   TEST_CONFIG: default
2023-01-11T20:47:26.4530891Z   SHARD_NUMBER: 2
2023-01-11T20:47:26.4531064Z   NUM_TEST_SHARDS: 2
2023-01-11T20:47:26.4531219Z   PR_BODY: 
2023-01-11T20:47:26.4531405Z   CONTINUE_THROUGH_ERROR: False
2023-01-11T20:47:26.4531648Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2023-01-11T20:47:26.4531886Z   SCCACHE_S3_KEY_PREFIX: trunk
2023-01-11T20:47:26.4532056Z   SHM_SIZE: 1g
2023-01-11T20:47:26.4532393Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:47:26.4532719Z   XLA_CUDA: 
2023-01-11T20:47:26.4532965Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2023-01-11T20:47:26.4533244Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2023-01-11T20:47:26.4533461Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2023-01-11T20:47:26.4533643Z ##[endgroup]
2023-01-11T20:47:26.4556337Z + [[ default == \m\u\l\t\i\g\p\u ]]
2023-01-11T20:47:26.4557008Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *onnx* ]]
2023-01-11T20:47:26.4557267Z + TEST_COMMAND=.jenkins/pytorch/test.sh
2023-01-11T20:47:26.4559167Z ++ git cherry -v origin/master
2023-01-11T20:47:26.5001327Z + COMMIT_MESSAGES='+ 52a16ce42647731c772e14e7175afa40fda07b3d make torchgen rename also Number arguments into '\''input'\''
2023-01-11T20:47:26.5001742Z + 87db01a53ecb702267ec36787654e418a52f8e93 fix torch.where signature mismatch
2023-01-11T20:47:26.5002181Z + 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e '\''other'\'' instead of '\''output'\'' in documentation'
2023-01-11T20:47:26.5002965Z + COMMIT_MESSAGES='+ 52a16ce42647731c772e14e7175afa40fda07b3d make torchgen rename also Number arguments into '\''input'\''+ 87db01a53ecb702267ec36787654e418a52f8e93 fix torch.where signature mismatch+ 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e '\''other'\'' instead of '\''output'\'' in documentation'
2023-01-11T20:47:26.5003585Z + PR_BODY=
2023-01-11T20:47:26.5004634Z + export 'COMMIT_MESSAGES=+ 52a16ce42647731c772e14e7175afa40fda07b3d make torchgen rename also Number arguments into input+ 87db01a53ecb702267ec36787654e418a52f8e93 fix torch.where signature mismatch+ 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e other instead of output in documentation'
2023-01-11T20:47:26.5005797Z + COMMIT_MESSAGES='+ 52a16ce42647731c772e14e7175afa40fda07b3d make torchgen rename also Number arguments into input+ 87db01a53ecb702267ec36787654e418a52f8e93 fix torch.where signature mismatch+ 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e other instead of output in documentation'
2023-01-11T20:47:26.5006209Z + export PR_BODY=
2023-01-11T20:47:26.5006379Z + PR_BODY=
2023-01-11T20:47:26.5011643Z +++ nproc --ignore=2
2023-01-11T20:47:26.5022086Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e CONTINUE_THROUGH_ERROR -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3896346758 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T20:47:37.9047176Z + container_name=17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T20:47:37.9047575Z + echo DOCKER_CONTAINER_ID=17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T20:47:37.9051056Z ++ echo dist/torch-2.0.0a0+git8419ddd-cp37-cp37m-linux_x86_64.whl
2023-01-11T20:47:37.9053237Z + docker exec -t 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059 sh -c 'pip install dist/torch-2.0.0a0+git8419ddd-cp37-cp37m-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh'
2023-01-11T20:47:38.3173552Z Processing ./dist/torch-2.0.0a0+git8419ddd-cp37-cp37m-linux_x86_64.whl
2023-01-11T20:47:38.6776253Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==2.0.0a0+git8419ddd) (4.4.0)
2023-01-11T20:47:38.6779539Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch==2.0.0a0+git8419ddd) (1.10.1)
2023-01-11T20:47:38.6783022Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch==2.0.0a0+git8419ddd) (2.6.3)
2023-01-11T20:47:38.6796257Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.7/site-packages (from torch==2.0.0a0+git8419ddd) (3.3.0)
2023-01-11T20:47:38.6857802Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.7/site-packages (from opt-einsum>=3.3->torch==2.0.0a0+git8419ddd) (1.18.5)
2023-01-11T20:47:38.7028195Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch==2.0.0a0+git8419ddd) (1.2.1)
2023-01-11T20:47:39.4275468Z Installing collected packages: torch
2023-01-11T20:47:44.9995770Z Successfully installed torch-2.0.0a0+git8419ddd
2023-01-11T20:47:45.1320075Z + echo 'Environment variables:'
2023-01-11T20:47:45.1320516Z Environment variables:
2023-01-11T20:47:45.1320696Z + env
2023-01-11T20:47:45.1325026Z INSTALLED_DB=yes
2023-01-11T20:47:45.1325587Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2023-01-11T20:47:45.1326150Z CONTINUE_THROUGH_ERROR=False
2023-01-11T20:47:45.1326679Z BUILD_ENVIRONMENT=parallelnative-linux-focal-py3.7-gcc7
2023-01-11T20:47:45.1327093Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1
2023-01-11T20:47:45.1327351Z HOSTNAME=17953c2a6753
2023-01-11T20:47:45.1327766Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1328043Z GITHUB_ACTION=__self
2023-01-11T20:47:45.1328246Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2023-01-11T20:47:45.1328449Z GITHUB_RUN_NUMBER=22986
2023-01-11T20:47:45.1328617Z TEST_CONFIG=default
2023-01-11T20:47:45.1329065Z GITHUB_REPOSITORY_OWNER_ID=21003710
2023-01-11T20:47:45.1329370Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2023-01-11T20:47:45.1329679Z GITHUB_TRIGGERING_ACTOR=pytorch-bot[bot]
2023-01-11T20:47:45.1329922Z GITHUB_REF_TYPE=tag
2023-01-11T20:47:45.1330198Z TORCH_CUDA_ARCH_LIST=Maxwell
2023-01-11T20:47:45.1330454Z BASE_SHA=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1330662Z XLA_CUDA=
2023-01-11T20:47:45.1331367Z ***
2023-01-11T20:47:45.1331552Z CARGO_NET_GIT_FETCH_WITH_CLI=true
2023-01-11T20:47:45.1331746Z GITHUB_REPOSITORY_ID=65600975
2023-01-11T20:47:45.1331938Z GITHUB_ACTIONS=true
2023-01-11T20:47:45.1332154Z SHA1=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1332396Z GITHUB_SHA=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1332708Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/tags/ciflow/trunk/91627
2023-01-11T20:47:45.1332966Z UCC_HOME=/usr
2023-01-11T20:47:45.1333149Z GITHUB_REF=refs/tags/ciflow/trunk/91627
2023-01-11T20:47:45.1333352Z SHARD_NUMBER=2
2023-01-11T20:47:45.1333535Z GITHUB_REF_PROTECTED=false
2023-01-11T20:47:45.1333709Z HOME=/var/lib/jenkins
2023-01-11T20:47:45.1333920Z GITHUB_API_URL=https://api.github.com
2023-01-11T20:47:45.1334152Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2023-01-11T20:47:45.1334338Z INSTALLED_THRIFT=
2023-01-11T20:47:45.1334506Z UCX_COMMIT=
2023-01-11T20:47:45.1334683Z SCCACHE_S3_KEY_PREFIX=trunk
2023-01-11T20:47:45.1334854Z NUM_TEST_SHARDS=2
2023-01-11T20:47:45.1335019Z UCX_HOME=/usr
2023-01-11T20:47:45.1335427Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1335724Z PYTORCH_RETRY_TEST_CASES=1
2023-01-11T20:47:45.1336118Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1336551Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2023-01-11T20:47:45.1336816Z GITHUB_EVENT_NAME=push
2023-01-11T20:47:45.1336991Z GITHUB_RUN_ID=3896346758
2023-01-11T20:47:45.1337416Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1337763Z GITHUB_ACTOR=pytorch-bot[bot]
2023-01-11T20:47:45.1337941Z PR_NUMBER=
2023-01-11T20:47:45.1338104Z DESIRED_CUDA=
2023-01-11T20:47:45.1338275Z GITHUB_RUN_ATTEMPT=1
2023-01-11T20:47:45.1338495Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2023-01-11T20:47:45.1338709Z TERM=xterm
2023-01-11T20:47:45.1338876Z INSTALLED_VISION=yes
2023-01-11T20:47:45.1339035Z BRANCH=
2023-01-11T20:47:45.1339211Z OPENSSL_ROOT_DIR=/opt/openssl
2023-01-11T20:47:45.1339405Z CUDA_PATH=/usr/local/cuda
2023-01-11T20:47:45.1339756Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2023-01-11T20:47:45.1340052Z GITHUB_SERVER_URL=https://github.com
2023-01-11T20:47:45.1340252Z UCC_COMMIT=
2023-01-11T20:47:45.1340413Z INSTALLED_ANDROID=
2023-01-11T20:47:45.1340577Z SHLVL=1
2023-01-11T20:47:45.1340727Z MAX_JOBS=6
2023-01-11T20:47:45.1340888Z GITHUB_ACTOR_ID=54816060
2023-01-11T20:47:45.1341338Z COMMIT_MESSAGES=+ 52a16ce42647731c772e14e7175afa40fda07b3d make torchgen rename also Number arguments into input+ 87db01a53ecb702267ec36787654e418a52f8e93 fix torch.where signature mismatch+ 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e other instead of output in documentation
2023-01-11T20:47:45.1341822Z GITHUB_WORKFLOW_SHA=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1342068Z GITHUB_REF_NAME=ciflow/trunk/91627
2023-01-11T20:47:45.1342401Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2023-01-11T20:47:45.1342831Z GITHUB_JOB=test
2023-01-11T20:47:45.1343033Z GITHUB_REPOSITORY=pytorch/pytorch
2023-01-11T20:47:45.1343235Z GITHUB_RETENTION_DAYS=90
2023-01-11T20:47:45.1343449Z OPENSSL_DIR=/opt/openssl
2023-01-11T20:47:45.1343642Z GITHUB_ACTION_REPOSITORY=
2023-01-11T20:47:45.1343942Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2023-01-11T20:47:45.1344316Z GITHUB_BASE_REF=
2023-01-11T20:47:45.1344486Z CI=true
2023-01-11T20:47:45.1344670Z GITHUB_REPOSITORY_OWNER=pytorch
2023-01-11T20:47:45.1344915Z INSTALLED_PROTOBUF=yes
2023-01-11T20:47:45.1345100Z GITHUB_HEAD_REF=
2023-01-11T20:47:45.1345274Z GITHUB_ACTION_REF=
2023-01-11T20:47:45.1345541Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2023-01-11T20:47:45.1345772Z GITHUB_WORKFLOW=trunk
2023-01-11T20:47:45.1345966Z DEBIAN_FRONTEND=noninteractive
2023-01-11T20:47:45.1346373Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1346654Z PR_BODY=
2023-01-11T20:47:45.1346816Z _=/usr/bin/env
2023-01-11T20:47:45.1347093Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2023-01-11T20:47:45.1483496Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch
2023-01-11T20:47:45.1484209Z + TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T20:47:45.1484724Z + TORCH_LIB_DIR=/opt/conda/lib/python3.7/site-packages/torch/lib
2023-01-11T20:47:45.1485213Z + TORCH_TEST_DIR=/opt/conda/lib/python3.7/site-packages/torch/test
2023-01-11T20:47:45.1485445Z + BUILD_DIR=build
2023-01-11T20:47:45.1485640Z + BUILD_RENAMED_DIR=build_renamed
2023-01-11T20:47:45.1485828Z + BUILD_BIN_DIR=build/bin
2023-01-11T20:47:45.1486020Z + export VALGRIND=ON
2023-01-11T20:47:45.1486197Z + VALGRIND=ON
2023-01-11T20:47:45.1486380Z + export TORCH_INDUCTOR_INSTALL_GXX=ON
2023-01-11T20:47:45.1486597Z + TORCH_INDUCTOR_INSTALL_GXX=ON
2023-01-11T20:47:45.1486919Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *clang9* ]]
2023-01-11T20:47:45.1487264Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *bazel* ]]
2023-01-11T20:47:45.1488294Z ++ realpath build/custom_test_artifacts
2023-01-11T20:47:45.1494293Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2023-01-11T20:47:45.1497369Z ++ dirname .jenkins/pytorch/test.sh
2023-01-11T20:47:45.1503254Z + source .jenkins/pytorch/common.sh
2023-01-11T20:47:45.1506208Z +++ dirname .jenkins/pytorch/common.sh
2023-01-11T20:47:45.1511948Z ++ source .jenkins/pytorch/common_utils.sh
2023-01-11T20:47:45.1513904Z +++ declare -f -t trap_add
2023-01-11T20:47:45.1518644Z ++ set -ex
2023-01-11T20:47:45.1519299Z ++ [[ parallelnative-linux-focal-py3.7-gcc7 == *rocm* ]]
2023-01-11T20:47:45.1519635Z ++ BUILD_TEST_LIBTORCH=0
2023-01-11T20:47:45.1519968Z + echo 'Environment variables'
2023-01-11T20:47:45.1520155Z Environment variables
2023-01-11T20:47:45.1520329Z + env
2023-01-11T20:47:45.1525841Z INSTALLED_DB=yes
2023-01-11T20:47:45.1526739Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2023-01-11T20:47:45.1527138Z CONTINUE_THROUGH_ERROR=False
2023-01-11T20:47:45.1527696Z BUILD_ENVIRONMENT=parallelnative-linux-focal-py3.7-gcc7
2023-01-11T20:47:45.1528220Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1
2023-01-11T20:47:45.1528453Z HOSTNAME=17953c2a6753
2023-01-11T20:47:45.1528882Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1529184Z GITHUB_ACTION=__self
2023-01-11T20:47:45.1529379Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2023-01-11T20:47:45.1529584Z GITHUB_RUN_NUMBER=22986
2023-01-11T20:47:45.1529769Z TEST_CONFIG=default
2023-01-11T20:47:45.1529956Z GITHUB_REPOSITORY_OWNER_ID=21003710
2023-01-11T20:47:45.1530228Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2023-01-11T20:47:45.1530504Z GITHUB_TRIGGERING_ACTOR=pytorch-bot[bot]
2023-01-11T20:47:45.1530700Z GITHUB_REF_TYPE=tag
2023-01-11T20:47:45.1530981Z TORCH_CUDA_ARCH_LIST=Maxwell
2023-01-11T20:47:45.1531402Z BASE_SHA=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1531671Z XLA_CUDA=
2023-01-11T20:47:45.1532102Z ***
2023-01-11T20:47:45.1532413Z CARGO_NET_GIT_FETCH_WITH_CLI=true
2023-01-11T20:47:45.1532891Z GITHUB_REPOSITORY_ID=65600975
2023-01-11T20:47:45.1533293Z GITHUB_ACTIONS=true
2023-01-11T20:47:45.1533920Z SHA1=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1534398Z GITHUB_SHA=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1535098Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/tags/ciflow/trunk/91627
2023-01-11T20:47:45.1535674Z UCC_HOME=/usr
2023-01-11T20:47:45.1535907Z GITHUB_REF=refs/tags/ciflow/trunk/91627
2023-01-11T20:47:45.1536137Z SHARD_NUMBER=2
2023-01-11T20:47:45.1536356Z GITHUB_REF_PROTECTED=false
2023-01-11T20:47:45.1536550Z HOME=/var/lib/jenkins
2023-01-11T20:47:45.1536838Z GITHUB_API_URL=https://api.github.com
2023-01-11T20:47:45.1537120Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2023-01-11T20:47:45.1537325Z INSTALLED_THRIFT=
2023-01-11T20:47:45.1537537Z UCX_COMMIT=
2023-01-11T20:47:45.1537778Z SCCACHE_S3_KEY_PREFIX=trunk
2023-01-11T20:47:45.1537970Z NUM_TEST_SHARDS=2
2023-01-11T20:47:45.1538179Z UCX_HOME=/usr
2023-01-11T20:47:45.1538628Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1538942Z TORCH_INDUCTOR_INSTALL_GXX=ON
2023-01-11T20:47:45.1539199Z PYTORCH_RETRY_TEST_CASES=1
2023-01-11T20:47:45.1539649Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1540116Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2023-01-11T20:47:45.1540390Z GITHUB_EVENT_NAME=push
2023-01-11T20:47:45.1540610Z GITHUB_RUN_ID=3896346758
2023-01-11T20:47:45.1541079Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1541429Z GITHUB_ACTOR=pytorch-bot[bot]
2023-01-11T20:47:45.1541660Z PR_NUMBER=
2023-01-11T20:47:45.1541857Z DESIRED_CUDA=
2023-01-11T20:47:45.1542040Z GITHUB_RUN_ATTEMPT=1
2023-01-11T20:47:45.1542288Z VALGRIND=ON
2023-01-11T20:47:45.1542556Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2023-01-11T20:47:45.1542781Z TERM=xterm
2023-01-11T20:47:45.1542986Z INSTALLED_VISION=yes
2023-01-11T20:47:45.1543210Z BRANCH=
2023-01-11T20:47:45.1543389Z OPENSSL_ROOT_DIR=/opt/openssl
2023-01-11T20:47:45.1543630Z CUDA_PATH=/usr/local/cuda
2023-01-11T20:47:45.1562088Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2023-01-11T20:47:45.1562468Z GITHUB_SERVER_URL=https://github.com
2023-01-11T20:47:45.1562658Z UCC_COMMIT=
2023-01-11T20:47:45.1562832Z INSTALLED_ANDROID=
2023-01-11T20:47:45.1563004Z SHLVL=1
2023-01-11T20:47:45.1563146Z MAX_JOBS=6
2023-01-11T20:47:45.1563322Z GITHUB_ACTOR_ID=54816060
2023-01-11T20:47:45.1564028Z COMMIT_MESSAGES=+ 52a16ce42647731c772e14e7175afa40fda07b3d make torchgen rename also Number arguments into input+ 87db01a53ecb702267ec36787654e418a52f8e93 fix torch.where signature mismatch+ 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e other instead of output in documentation
2023-01-11T20:47:45.1564512Z GITHUB_WORKFLOW_SHA=8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T20:47:45.1564753Z GITHUB_REF_NAME=ciflow/trunk/91627
2023-01-11T20:47:45.1565135Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2023-01-11T20:47:45.1565393Z GITHUB_JOB=test
2023-01-11T20:47:45.1565582Z GITHUB_REPOSITORY=pytorch/pytorch
2023-01-11T20:47:45.1565787Z GITHUB_RETENTION_DAYS=90
2023-01-11T20:47:45.1565979Z OPENSSL_DIR=/opt/openssl
2023-01-11T20:47:45.1566162Z GITHUB_ACTION_REPOSITORY=
2023-01-11T20:47:45.1566468Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2023-01-11T20:47:45.1566749Z GITHUB_BASE_REF=
2023-01-11T20:47:45.1566901Z CI=true
2023-01-11T20:47:45.1567077Z GITHUB_REPOSITORY_OWNER=pytorch
2023-01-11T20:47:45.1567276Z INSTALLED_PROTOBUF=yes
2023-01-11T20:47:45.1567446Z GITHUB_HEAD_REF=
2023-01-11T20:47:45.1567620Z GITHUB_ACTION_REF=
2023-01-11T20:47:45.1567898Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2023-01-11T20:47:45.1568118Z GITHUB_WORKFLOW=trunk
2023-01-11T20:47:45.1568444Z DEBIAN_FRONTEND=noninteractive
2023-01-11T20:47:45.1568865Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2cb5dd75-405a-468f-9a78-67134eb38c7d
2023-01-11T20:47:45.1569148Z PR_BODY=
2023-01-11T20:47:45.1569348Z _=/usr/bin/env
2023-01-11T20:47:45.1569587Z + echo 'Testing pytorch'
2023-01-11T20:47:45.1569769Z Testing pytorch
2023-01-11T20:47:45.1569950Z + export LANG=C.UTF-8
2023-01-11T20:47:45.1570140Z + LANG=C.UTF-8
2023-01-11T20:47:45.1570309Z + PR_NUMBER=
2023-01-11T20:47:45.1570480Z + [[ default == \d\e\f\a\u\l\t ]]
2023-01-11T20:47:45.1570687Z + export CUDA_VISIBLE_DEVICES=0
2023-01-11T20:47:45.1570887Z + CUDA_VISIBLE_DEVICES=0
2023-01-11T20:47:45.1571070Z + export HIP_VISIBLE_DEVICES=0
2023-01-11T20:47:45.1571266Z + HIP_VISIBLE_DEVICES=0
2023-01-11T20:47:45.1571465Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2023-01-11T20:47:45.1571649Z + [[ default == \s\l\o\w ]]
2023-01-11T20:47:45.1571966Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *slow-gradcheck* ]]
2023-01-11T20:47:45.1572332Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *cuda* ]]
2023-01-11T20:47:45.1572663Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *rocm* ]]
2023-01-11T20:47:45.1572902Z + [[ default == *crossref* ]]
2023-01-11T20:47:45.1573091Z + [[ default == *dynamo* ]]
2023-01-11T20:47:45.1573279Z + [[ default == *inductor* ]]
2023-01-11T20:47:45.1573560Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *rocm* ]]
2023-01-11T20:47:45.1573907Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *-bazel-* ]]
2023-01-11T20:47:45.1574198Z + pip_install --user ninja==1.10.2
2023-01-11T20:47:45.1574472Z + pip install --progress-bar off --user ninja==1.10.2
2023-01-11T20:47:45.5441879Z Collecting ninja==1.10.2
2023-01-11T20:47:45.5604026Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2023-01-11T20:47:46.2566873Z Installing collected packages: ninja
2023-01-11T20:47:46.2654102Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2023-01-11T20:47:46.2654873Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2023-01-11T20:47:46.2707768Z Successfully installed ninja-1.10.2
2023-01-11T20:47:46.3360872Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2023-01-11T20:47:46.3361743Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2023-01-11T20:47:46.3362495Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *asan* ]]
2023-01-11T20:47:46.3363170Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *-tsan* ]]
2023-01-11T20:47:46.3363642Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2023-01-11T20:47:46.3363867Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2023-01-11T20:47:46.3369335Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *tbb* ]]
2023-01-11T20:47:46.3381497Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *libtorch* ]]
2023-01-11T20:47:46.3381927Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *-bazel-* ]]
2023-01-11T20:47:46.3382301Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *-tsan* ]]
2023-01-11T20:47:46.3384020Z + cd test
2023-01-11T20:47:46.3384434Z + python -c 'import torch; print(torch.__config__.show())'
2023-01-11T20:47:47.4049039Z PyTorch built with:
2023-01-11T20:47:47.4049595Z   - GCC 7.5
2023-01-11T20:47:47.4049973Z   - C++ Version: 201703
2023-01-11T20:47:47.4050718Z   - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2023-01-11T20:47:47.4051497Z   - Intel(R) MKL-DNN v2.7.2 (Git Hash fbec3e25a559ee252022ae066817b204e106a6ba)
2023-01-11T20:47:47.4052060Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2023-01-11T20:47:47.4052552Z   - LAPACK is enabled (usually provided by MKL)
2023-01-11T20:47:47.4053001Z   - NNPACK is enabled
2023-01-11T20:47:47.4053706Z   - CPU capability usage: AVX2
2023-01-11T20:47:47.4058428Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Werror -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 
2023-01-11T20:47:47.4061897Z 
2023-01-11T20:47:47.5840640Z + cd test
2023-01-11T20:47:47.5841198Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2023-01-11T20:47:48.6408982Z ATen/Parallel:
2023-01-11T20:47:48.6420722Z 	at::get_num_threads() : 4
2023-01-11T20:47:48.6420963Z 	at::get_num_interop_threads() : 4
2023-01-11T20:47:48.6421203Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2023-01-11T20:47:48.6421406Z 	omp_get_max_threads() : 1
2023-01-11T20:47:48.6421917Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2023-01-11T20:47:48.6422195Z 	mkl_get_max_threads() : 1
2023-01-11T20:47:48.6422542Z Intel(R) MKL-DNN v2.7.2 (Git Hash fbec3e25a559ee252022ae066817b204e106a6ba)
2023-01-11T20:47:48.6422811Z std::thread::hardware_concurrency() : 8
2023-01-11T20:47:48.6423007Z Environment variables:
2023-01-11T20:47:48.6423204Z 	OMP_NUM_THREADS : [not set]
2023-01-11T20:47:48.6423407Z 	MKL_NUM_THREADS : [not set]
2023-01-11T20:47:48.6423610Z ATen parallel backend: native thread pool
2023-01-11T20:47:48.6423749Z 
2023-01-11T20:47:48.8208979Z + [[ default == *backward* ]]
2023-01-11T20:47:48.8209348Z + [[ default == *xla* ]]
2023-01-11T20:47:48.8209717Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2023-01-11T20:47:48.8210282Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *libtorch* ]]
2023-01-11T20:47:48.8210530Z + [[ default == distributed ]]
2023-01-11T20:47:48.8210726Z + [[ default == deploy ]]
2023-01-11T20:47:48.8210936Z + [[ default == *inductor_distributed* ]]
2023-01-11T20:47:48.8211128Z + [[ default == *dynamo* ]]
2023-01-11T20:47:48.8211315Z + [[ default == *dynamo* ]]
2023-01-11T20:47:48.8211519Z + [[ default == *inductor_huggingface* ]]
2023-01-11T20:47:48.8211756Z + [[ default == *inductor_timm* ]]
2023-01-11T20:47:48.8212084Z + [[ default == *inductor_torchbench* ]]
2023-01-11T20:47:48.8212339Z + [[ default == *inductor* ]]
2023-01-11T20:47:48.8212519Z + [[ 2 == 1 ]]
2023-01-11T20:47:48.8212700Z + [[ 2 == 2 ]]
2023-01-11T20:47:48.8213026Z + [[ 2 -gt 1 ]]
2023-01-11T20:47:48.8213346Z + install_torchvision
2023-01-11T20:47:48.8213636Z + local commit
2023-01-11T20:47:48.8213826Z ++ get_pinned_commit vision
2023-01-11T20:47:48.8214038Z ++ cat .github/ci_commit_pins/vision.txt
2023-01-11T20:47:48.8223618Z + commit=32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:48.8224529Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:48.8225097Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:49.1531101Z Collecting git+https://github.com/pytorch/vision.git@32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:49.1535822Z   Cloning https://github.com/pytorch/vision.git (to revision 32d254bbfcf14975f846765775584e61ef25a5bc) to /tmp/pip-req-build-qlllumx0
2023-01-11T20:47:49.1565424Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-qlllumx0
2023-01-11T20:47:51.0111814Z   Running command git rev-parse -q --verify 'sha^32d254bbfcf14975f846765775584e61ef25a5bc'
2023-01-11T20:47:51.0144965Z   Running command git fetch -q https://github.com/pytorch/vision.git 32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:51.9514889Z   Running command git checkout -q 32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:52.4634048Z   Resolved https://github.com/pytorch/vision.git to commit 32d254bbfcf14975f846765775584e61ef25a5bc
2023-01-11T20:47:54.2830893Z   Preparing metadata (setup.py) ... [?25l- done
2023-01-11T20:47:54.2906580Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+32d254b) (4.4.0)
2023-01-11T20:47:54.2910339Z Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+32d254b) (1.18.5)
2023-01-11T20:47:54.2914474Z Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+32d254b) (2.28.1)
2023-01-11T20:47:54.2918323Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+32d254b) (2.0.0a0+git8419ddd)
2023-01-11T20:47:54.2926797Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+32d254b) (9.3.0)
2023-01-11T20:47:54.3112260Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+32d254b) (1.26.13)
2023-01-11T20:47:54.3118775Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+32d254b) (2022.12.7)
2023-01-11T20:47:54.3125578Z Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+32d254b) (2.0.4)
2023-01-11T20:47:54.3132019Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+32d254b) (3.4)
2023-01-11T20:47:54.3177806Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.15.0a0+32d254b) (1.10.1)
2023-01-11T20:47:54.3181541Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.15.0a0+32d254b) (2.6.3)
2023-01-11T20:47:54.3525463Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch->torchvision==0.15.0a0+32d254b) (1.2.1)
2023-01-11T20:47:54.3584971Z Building wheels for collected packages: torchvision
2023-01-11T20:49:17.9113789Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
2023-01-11T20:49:17.9629205Z [?25h  Created wheel for torchvision: filename=torchvision-0.15.0a0+32d254b-cp37-cp37m-linux_x86_64.whl size=20912759 sha256=07a3a5e67bd1de37115f1cd7f42dd031e7352ff0b6f7699d85e9726ff23ecd12
2023-01-11T20:49:17.9630094Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/e7/3b/4f/ac9b1a1cbac1a7d14e95ec21bf97b2226642ef13c00e52e13a
2023-01-11T20:49:17.9678205Z Successfully built torchvision
2023-01-11T20:49:18.6006777Z Installing collected packages: torchvision
2023-01-11T20:49:19.3011505Z Successfully installed torchvision-0.15.0a0+32d254b
2023-01-11T20:49:19.5359524Z + install_triton
2023-01-11T20:49:19.5359901Z + local commit
2023-01-11T20:49:19.5360178Z + [[ default == *rocm* ]]
2023-01-11T20:49:19.5361980Z ++ get_pinned_commit triton
2023-01-11T20:49:19.5362418Z ++ cat .github/ci_commit_pins/triton.txt
2023-01-11T20:49:19.5384206Z + commit=0d7e7532279e45672555e344646f5c19c3972331
2023-01-11T20:49:19.5384817Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2023-01-11T20:49:19.5386357Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2023-01-11T20:49:19.8989939Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2023-01-11T20:49:19.8995378Z   Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-1ngf0rm5
2023-01-11T20:49:19.9029878Z   Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-1ngf0rm5
2023-01-11T20:49:20.5536366Z   Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331'
2023-01-11T20:49:20.5569141Z   Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331
2023-01-11T20:49:20.8937190Z   Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331
2023-01-11T20:49:21.2681553Z   Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331
2023-01-11T20:49:21.2683052Z   Running command git submodule update --init --recursive -q
2023-01-11T20:49:21.7660440Z   Preparing metadata (setup.py) ... [?25l- done
2023-01-11T20:49:21.9304819Z [?25hCollecting cmake
2023-01-11T20:49:21.9506559Z   Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)
2023-01-11T20:49:22.2710471Z Collecting filelock
2023-01-11T20:49:22.2749377Z   Downloading filelock-3.9.0-py3-none-any.whl (9.7 kB)
2023-01-11T20:49:22.2782919Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from triton==2.0.0) (2.0.0a0+git8419ddd)
2023-01-11T20:49:22.2992942Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (2.6.3)
2023-01-11T20:49:22.2996365Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (1.10.1)
2023-01-11T20:49:22.3000078Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (4.4.0)
2023-01-11T20:49:22.3172870Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch->triton==2.0.0) (1.2.1)
2023-01-11T20:49:22.3231876Z Building wheels for collected packages: triton
2023-01-11T20:50:04.9998348Z   Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | done
2023-01-11T20:50:05.0369113Z [?25h  Created wheel for triton: filename=triton-2.0.0-cp37-cp37m-linux_x86_64.whl size=15370740 sha256=e388806bc2db46e3507b3d6bf8ad42ce7b4dae3a094a28ec1d28f49363d68624
2023-01-11T20:50:05.0369892Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/aa/c5/3a/263a5ba27ed44796dab5f19b43135afb68beabac5d137652f7
2023-01-11T20:50:05.0394088Z Successfully built triton
2023-01-11T20:50:05.7510297Z Installing collected packages: cmake, filelock, triton
2023-01-11T20:50:07.0774873Z Successfully installed cmake-3.25.0 filelock-3.9.0 triton-2.0.0
2023-01-11T20:50:07.1804670Z + pip_install --user jinja2
2023-01-11T20:50:07.1805002Z + pip install --progress-bar off --user jinja2
2023-01-11T20:50:07.6093820Z Collecting jinja2
2023-01-11T20:50:07.6275633Z   Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
2023-01-11T20:50:07.6640611Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.7/site-packages (from jinja2) (2.1.1)
2023-01-11T20:50:08.3739338Z Installing collected packages: jinja2
2023-01-11T20:50:08.4974240Z Successfully installed jinja2-3.1.2
2023-01-11T20:50:08.5607925Z + test_python_shard 2
2023-01-11T20:50:08.5608378Z + [[ -z 2 ]]
2023-01-11T20:50:08.5608939Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 2 2 --verbose
2023-01-11T20:50:10.2305073Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T20:50:11.0091385Z Ignoring disabled issues:  []
2023-01-11T20:50:11.1181297Z Found test time stats from artifacts
2023-01-11T20:50:11.1228031Z Selected tests:
2023-01-11T20:50:11.1228266Z  inductor/test_torchinductor_opinfo
2023-01-11T20:50:11.1229702Z  test_ops_gradients
2023-01-11T20:50:11.1230035Z  test_sparse_csr
2023-01-11T20:50:11.1230296Z  test_nn
2023-01-11T20:50:11.1230448Z  test_tensorexpr
2023-01-11T20:50:11.1230690Z  test_dispatch
2023-01-11T20:50:11.1231011Z  nn/test_pooling
2023-01-11T20:50:11.1231267Z  test_autograd
2023-01-11T20:50:11.1231569Z  test_multiprocessing_spawn
2023-01-11T20:50:11.1231976Z  test_torch
2023-01-11T20:50:11.1232287Z  test_cpp_extensions_open_device_registration
2023-01-11T20:50:11.1232632Z  test_indexing
2023-01-11T20:50:11.1234370Z  test_namedtuple_return_api
2023-01-11T20:50:11.1234697Z  test_fake_tensor
2023-01-11T20:50:11.1234967Z  test_jit_disabled
2023-01-11T20:50:11.1235155Z  test_show_pickle
2023-01-11T20:50:11.1235318Z  test_jit_cuda_fuser
2023-01-11T20:50:11.1235515Z  test_cpp_extensions_aot_no_ninja
2023-01-11T20:50:11.1235733Z  distributions/test_constraints
2023-01-11T20:50:11.1235925Z  dynamo/test_recompile_ux
2023-01-11T20:50:11.1236119Z  dynamo/test_torchxla_util
2023-01-11T20:50:11.1236304Z  inductor/test_smoke
2023-01-11T20:50:11.1236487Z  lazy/test_extract_compiled_graph
2023-01-11T20:50:11.1236672Z  nn/test_init
2023-01-11T20:50:11.1236835Z  test_cuda
2023-01-11T20:50:11.1236990Z  test_cuda_primary_ctx
2023-01-11T20:50:11.1237169Z  test_cuda_trace
2023-01-11T20:50:11.1237333Z  test_hub
2023-01-11T20:50:11.1237482Z  test_matmul_cuda
2023-01-11T20:50:11.1237645Z  doctests
2023-01-11T20:50:11.1237802Z  test_decomp
2023-01-11T20:50:11.1237958Z  test_quantization
2023-01-11T20:50:11.1238347Z  inductor/test_torchinductor
2023-01-11T20:50:11.1238673Z  test_proxy_tensor
2023-01-11T20:50:11.1238926Z  test_foreach
2023-01-11T20:50:11.1239240Z  test_sparse
2023-01-11T20:50:11.1239548Z  test_unary_ufuncs
2023-01-11T20:50:11.1239830Z  test_dataloader
2023-01-11T20:50:11.1240028Z  test_fx_experimental
2023-01-11T20:50:11.1240321Z  test_functional_autograd_benchmark
2023-01-11T20:50:11.1240617Z  dynamo/test_minifier
2023-01-11T20:50:11.1240798Z  test_tensorboard
2023-01-11T20:50:11.1240972Z  test_serialization
2023-01-11T20:50:11.1241127Z  test_utils
2023-01-11T20:50:11.1241305Z  profiler/test_profiler
2023-01-11T20:50:11.1241491Z  test_transformers
2023-01-11T20:50:11.1241652Z  lazy/test_ts_opinfo
2023-01-11T20:50:11.1241829Z  test_ao_sparsity
2023-01-11T20:50:11.1241997Z  test_stateless
2023-01-11T20:50:11.1242152Z  nn/test_embedding
2023-01-11T20:50:11.1242338Z  nn/test_multihead_attention
2023-01-11T20:50:11.1244707Z  test_functionalization
2023-01-11T20:50:11.1246923Z  dynamo/test_misc
2023-01-11T20:50:11.1247231Z  test_weak
2023-01-11T20:50:11.1247572Z  profiler/test_memory_profiler
2023-01-11T20:50:11.1247908Z  test_import_stats
2023-01-11T20:50:11.1248235Z  test_module_init
2023-01-11T20:50:11.1248540Z  test_openmp
2023-01-11T20:50:11.1248759Z  lazy/test_step_closures
2023-01-11T20:50:11.1248933Z  test_package
2023-01-11T20:50:11.1249102Z  test_maskedtensor
2023-01-11T20:50:11.1249268Z  dynamo/test_export
2023-01-11T20:50:11.1249452Z  backends/xeon/test_launch
2023-01-11T20:50:11.1249645Z  test_scatter_gather_ops
2023-01-11T20:50:11.1249811Z  test_shape_ops
2023-01-11T20:50:11.1249976Z  test_futures
2023-01-11T20:50:11.1250142Z  test_namedtensor
2023-01-11T20:50:11.1250310Z  test_tensorexpr_pybind
2023-01-11T20:50:11.1250489Z  test_fx_passes
2023-01-11T20:50:11.1250651Z  test_monitor
2023-01-11T20:50:11.1250805Z  nn/test_lazy_modules
2023-01-11T20:50:11.1250986Z  nn/test_packed_sequence
2023-01-11T20:50:11.1251164Z  dynamo/test_global
2023-01-11T20:50:11.1251329Z  test_python_dispatch
2023-01-11T20:50:11.1251520Z  nn/test_parametrization
2023-01-11T20:50:11.1251703Z  test_native_functions
2023-01-11T20:50:11.1251865Z  nn/test_dropout
2023-01-11T20:50:11.1252175Z  profiler/test_profiler_tree
2023-01-11T20:50:11.1252379Z  dynamo/test_export_mutations
2023-01-11T20:50:11.1297514Z  test_itt
2023-01-11T20:50:11.1299176Z  test_license
2023-01-11T20:50:11.1299363Z  nn/test_pruning
2023-01-11T20:50:11.1299663Z  test_nvfuser_frontend
2023-01-11T20:50:11.1299856Z  test_numba_integration
2023-01-11T20:50:11.1300050Z  dynamo/test_aot_cudagraphs
2023-01-11T20:50:11.1300245Z  dynamo/test_torchxla_integration
2023-01-11T20:50:11.1300435Z  test_complex
2023-01-11T20:50:11.1300606Z  test_nvfuser_dynamo
2023-01-11T20:50:11.1300778Z  dynamo/test_model_output
2023-01-11T20:50:11.1300955Z  test_vulkan
2023-01-11T20:50:11.1301133Z  dynamo/test_replay_record
2023-01-11T20:50:11.1301305Z  test_type_hints
2023-01-11T20:50:11.1618499Z Prioritized test from test file changes.
2023-01-11T20:50:11.1618756Z reordering tests for PR:
2023-01-11T20:50:11.1619899Z prioritized: ['inductor/test_torchinductor_opinfo', 'test_sparse_csr', 'test_nn', 'test_autograd', 'test_torch', 'test_fake_tensor', 'test_cuda', 'inductor/test_torchinductor', 'test_proxy_tensor', 'test_foreach', 'test_sparse', 'test_utils', 'test_transformers', 'test_ao_sparsity', 'test_stateless', 'dynamo/test_misc', 'dynamo/test_export', 'test_scatter_gather_ops', 'test_python_dispatch', 'profiler/test_profiler_tree', 'dynamo/test_torchxla_integration']
2023-01-11T20:50:11.1623243Z the rest: ['test_ops_gradients', 'test_tensorexpr', 'test_dispatch', 'nn/test_pooling', 'test_multiprocessing_spawn', 'test_cpp_extensions_open_device_registration', 'test_indexing', 'test_namedtuple_return_api', 'test_jit_disabled', 'test_show_pickle', 'test_jit_cuda_fuser', 'test_cpp_extensions_aot_no_ninja', 'distributions/test_constraints', 'dynamo/test_recompile_ux', 'dynamo/test_torchxla_util', 'inductor/test_smoke', 'lazy/test_extract_compiled_graph', 'nn/test_init', 'test_cuda_primary_ctx', 'test_cuda_trace', 'test_hub', 'test_matmul_cuda', 'doctests', 'test_decomp', 'test_quantization', 'test_unary_ufuncs', 'test_dataloader', 'test_fx_experimental', 'test_functional_autograd_benchmark', 'dynamo/test_minifier', 'test_tensorboard', 'test_serialization', 'profiler/test_profiler', 'lazy/test_ts_opinfo', 'nn/test_embedding', 'nn/test_multihead_attention', 'test_functionalization', 'test_weak', 'profiler/test_memory_profiler', 'test_import_stats', 'test_module_init', 'test_openmp', 'lazy/test_step_closures', 'test_package', 'test_maskedtensor', 'backends/xeon/test_launch', 'test_shape_ops', 'test_futures', 'test_namedtensor', 'test_tensorexpr_pybind', 'test_fx_passes', 'test_monitor', 'nn/test_lazy_modules', 'nn/test_packed_sequence', 'dynamo/test_global', 'nn/test_parametrization', 'test_native_functions', 'nn/test_dropout', 'dynamo/test_export_mutations', 'test_itt', 'test_license', 'nn/test_pruning', 'test_nvfuser_frontend', 'test_numba_integration', 'dynamo/test_aot_cudagraphs', 'test_complex', 'test_nvfuser_dynamo', 'dynamo/test_model_output', 'test_vulkan', 'dynamo/test_replay_record', 'test_type_hints']
2023-01-11T20:50:11.1625017Z 
2023-01-11T20:50:11.1625543Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json
2023-01-11T20:50:11.1860931Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2023-01-11T20:50:11.1993587Z parallel (file granularity) tests:
2023-01-11T20:50:11.1993953Z  inductor/test_torchinductor
2023-01-11T20:50:11.1994294Z  test_proxy_tensor
2023-01-11T20:50:11.1994553Z  test_foreach
2023-01-11T20:50:11.1994769Z  test_sparse
2023-01-11T20:50:11.1994932Z  test_utils
2023-01-11T20:50:11.1995150Z  test_transformers
2023-01-11T20:50:11.1995412Z  test_ao_sparsity
2023-01-11T20:50:11.1995718Z  test_stateless
2023-01-11T20:50:11.1996027Z  dynamo/test_misc
2023-01-11T20:50:11.1996314Z  dynamo/test_export
2023-01-11T20:50:11.1996642Z  test_scatter_gather_ops
2023-01-11T20:50:11.1996928Z  test_python_dispatch
2023-01-11T20:50:11.1997430Z  profiler/test_profiler_tree
2023-01-11T20:50:11.1997743Z  dynamo/test_torchxla_integration
2023-01-11T20:50:11.1998052Z  distributions/test_constraints
2023-01-11T20:50:11.1998430Z  dynamo/test_recompile_ux
2023-01-11T20:50:11.1998861Z  dynamo/test_torchxla_util
2023-01-11T20:50:11.1999046Z  inductor/test_smoke
2023-01-11T20:50:11.1999325Z  lazy/test_extract_compiled_graph
2023-01-11T20:50:11.1999654Z  nn/test_init
2023-01-11T20:50:11.1999910Z  test_hub
2023-01-11T20:50:11.2000140Z  test_matmul_cuda
2023-01-11T20:50:11.2000311Z  test_decomp
2023-01-11T20:50:11.2000509Z  test_quantization
2023-01-11T20:50:11.2000824Z  test_unary_ufuncs
2023-01-11T20:50:11.2001108Z  test_dataloader
2023-01-11T20:50:11.2001361Z  test_fx_experimental
2023-01-11T20:50:11.2001665Z  test_functional_autograd_benchmark
2023-01-11T20:50:11.2001993Z  dynamo/test_minifier
2023-01-11T20:50:11.2002160Z  test_tensorboard
2023-01-11T20:50:11.2002332Z  test_serialization
2023-01-11T20:50:11.2002523Z  profiler/test_profiler
2023-01-11T20:50:11.2002721Z  lazy/test_ts_opinfo
2023-01-11T20:50:11.2002920Z  nn/test_embedding
2023-01-11T20:50:11.2003103Z  nn/test_multihead_attention
2023-01-11T20:50:11.2003297Z  test_functionalization
2023-01-11T20:50:11.2003696Z  test_weak
2023-01-11T20:50:11.2003880Z  profiler/test_memory_profiler
2023-01-11T20:50:11.2004067Z  test_import_stats
2023-01-11T20:50:11.2004227Z  test_module_init
2023-01-11T20:50:11.2004450Z  test_openmp
2023-01-11T20:50:11.2004624Z  lazy/test_step_closures
2023-01-11T20:50:11.2004791Z  test_package
2023-01-11T20:50:11.2004959Z  test_maskedtensor
2023-01-11T20:50:11.2005198Z  backends/xeon/test_launch
2023-01-11T20:50:11.2005369Z  test_shape_ops
2023-01-11T20:50:11.2005539Z  test_futures
2023-01-11T20:50:11.2005707Z  test_namedtensor
2023-01-11T20:50:11.2005901Z  test_tensorexpr_pybind
2023-01-11T20:50:11.2006161Z  test_fx_passes
2023-01-11T20:50:11.2006420Z  test_monitor
2023-01-11T20:50:11.2006577Z  nn/test_lazy_modules
2023-01-11T20:50:11.2006823Z  nn/test_packed_sequence
2023-01-11T20:50:11.2007004Z  dynamo/test_global
2023-01-11T20:50:11.2007174Z  nn/test_parametrization
2023-01-11T20:50:11.2007358Z  test_native_functions
2023-01-11T20:50:11.2007591Z  nn/test_dropout
2023-01-11T20:50:11.2007766Z  dynamo/test_export_mutations
2023-01-11T20:50:11.2007944Z  test_itt
2023-01-11T20:50:11.2008099Z  test_license
2023-01-11T20:50:11.2008318Z  nn/test_pruning
2023-01-11T20:50:11.2008498Z  test_nvfuser_frontend
2023-01-11T20:50:11.2008680Z  test_numba_integration
2023-01-11T20:50:11.2008857Z  dynamo/test_aot_cudagraphs
2023-01-11T20:50:11.2009090Z  test_complex
2023-01-11T20:50:11.2009260Z  test_nvfuser_dynamo
2023-01-11T20:50:11.2009431Z  dynamo/test_model_output
2023-01-11T20:50:11.2009605Z  test_vulkan
2023-01-11T20:50:11.2009827Z  dynamo/test_replay_record
2023-01-11T20:50:11.2010004Z  test_type_hints
2023-01-11T20:50:11.2010197Z serial (file granularity) tests:
2023-01-11T20:50:11.2010417Z  inductor/test_torchinductor_opinfo
2023-01-11T20:50:11.2010656Z  test_sparse_csr
2023-01-11T20:50:11.2010822Z  test_nn
2023-01-11T20:50:11.2010981Z  test_autograd
2023-01-11T20:50:11.2011131Z  test_torch
2023-01-11T20:50:11.2011316Z  test_fake_tensor
2023-01-11T20:50:11.2011516Z  test_cuda
2023-01-11T20:50:11.2011670Z  test_ops_gradients
2023-01-11T20:50:11.2011842Z  test_tensorexpr
2023-01-11T20:50:11.2012022Z  test_dispatch
2023-01-11T20:50:11.2012231Z  nn/test_pooling
2023-01-11T20:50:11.2012416Z  test_multiprocessing_spawn
2023-01-11T20:50:11.2012641Z  test_cpp_extensions_open_device_registration
2023-01-11T20:50:11.2012845Z  test_indexing
2023-01-11T20:50:11.2013066Z  test_namedtuple_return_api
2023-01-11T20:50:11.2013251Z  test_jit_disabled
2023-01-11T20:50:11.2013409Z  test_show_pickle
2023-01-11T20:50:11.2013581Z  test_jit_cuda_fuser
2023-01-11T20:50:11.2013826Z  test_cpp_extensions_aot_no_ninja
2023-01-11T20:50:11.2014009Z  test_cuda_primary_ctx
2023-01-11T20:50:11.2014187Z  test_cuda_trace
2023-01-11T20:50:11.2014348Z  doctests
2023-01-11T20:50:12.6497652Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T20:50:12.6557587Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T20:50:12.7733198Z Ignoring disabled issues:  []
2023-01-11T20:50:12.7880109Z Running inductor/test_torchinductor ... [2023-01-11 20:50:12.787720]
2023-01-11T20:50:12.7882085Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 20:50:12.787959]
2023-01-11T20:50:12.7884121Z Ignoring disabled issues:  []
2023-01-11T20:50:12.8031309Z Running test_proxy_tensor ... [2023-01-11 20:50:12.802882]
2023-01-11T20:50:12.8033906Z Executing ['/opt/conda/bin/python', '-bb', 'test_proxy_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 20:50:12.803156]
2023-01-11T21:01:51.6515724Z 
2023-01-11T21:01:51.6516432Z Expand the folded group to see the log file of inductor/test_torchinductor
2023-01-11T21:01:51.6524365Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_nsakqsla)
2023-01-11T21:01:51.6599239Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:01:51.6600153Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor
2023-01-11T21:01:51.6600605Z 
2023-01-11T21:01:51.6600708Z Running tests...
2023-01-11T21:01:51.6601291Z ----------------------------------------------------------------------
2023-01-11T21:01:51.6601709Z   test_auto_simd (__main__.CPUReproTests) ... ok (0.262s)
2023-01-11T21:01:51.6604058Z   test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.002s)
2023-01-11T21:01:51.6605025Z   test_conv_stride_constraints (__main__.CPUReproTests) ... [2023-01-11 20:50:59,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.6605754Z [2023-01-11 20:51:00,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.6606476Z [2023-01-11 20:51:00,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.6607142Z [2023-01-11 20:51:00,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.6607462Z 
2023-01-11T21:01:51.6607613Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6607829Z import torch
2023-01-11T21:01:51.6608061Z import random
2023-01-11T21:01:51.6608400Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6608731Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6608963Z 
2023-01-11T21:01:51.6609074Z aten = torch.ops.aten
2023-01-11T21:01:51.6609471Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6609834Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6610043Z 
2023-01-11T21:01:51.6610050Z 
2023-01-11T21:01:51.6771914Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.6772489Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.6773009Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.6773323Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.6773504Z {
2023-01-11T21:01:51.6773742Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6773941Z     {
2023-01-11T21:01:51.6774107Z         #pragma omp for  collapse(2)
2023-01-11T21:01:51.6774310Z         for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.6774487Z         {
2023-01-11T21:01:51.6774717Z             for(long i1=0; i1<5; i1+=1)
2023-01-11T21:01:51.6774910Z             {
2023-01-11T21:01:51.6775161Z                 #pragma GCC ivdep
2023-01-11T21:01:51.6775408Z                 for(long i2=0; i2<256; i2+=1)
2023-01-11T21:01:51.6775643Z                 {
2023-01-11T21:01:51.6775895Z                     {
2023-01-11T21:01:51.6776125Z                         {
2023-01-11T21:01:51.6776418Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)];
2023-01-11T21:01:51.6777094Z                             out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0;
2023-01-11T21:01:51.6777373Z                         }
2023-01-11T21:01:51.6777612Z                     }
2023-01-11T21:01:51.6777939Z                 }
2023-01-11T21:01:51.6778155Z             }
2023-01-11T21:01:51.6778360Z         }
2023-01-11T21:01:51.6778550Z     }
2023-01-11T21:01:51.6778746Z }
2023-01-11T21:01:51.6778984Z ''')
2023-01-11T21:01:51.6779082Z 
2023-01-11T21:01:51.6779088Z 
2023-01-11T21:01:51.6779176Z async_compile.wait(globals())
2023-01-11T21:01:51.6779453Z del async_compile
2023-01-11T21:01:51.6779612Z 
2023-01-11T21:01:51.6779692Z def call(args):
2023-01-11T21:01:51.6779932Z     inp_1, weight_1 = args
2023-01-11T21:01:51.6780201Z     args.clear()
2023-01-11T21:01:51.6780634Z     buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6780958Z     kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.6781255Z     del inp_1
2023-01-11T21:01:51.6781533Z     buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.6781841Z     assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6))
2023-01-11T21:01:51.6782106Z     del buf0
2023-01-11T21:01:51.6782333Z     del weight_1
2023-01-11T21:01:51.6782536Z     return (buf1, )
2023-01-11T21:01:51.6782688Z 
2023-01-11T21:01:51.6782694Z 
2023-01-11T21:01:51.6782787Z if __name__ == "__main__":
2023-01-11T21:01:51.6783072Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.6783397Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.6783924Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6784480Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6784874Z     print_performance(lambda: call([inp_1, weight_1]))
2023-01-11T21:01:51.6785097Z 
2023-01-11T21:01:51.6785103Z 
2023-01-11T21:01:51.6785233Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6785521Z import torch
2023-01-11T21:01:51.6787714Z import random
2023-01-11T21:01:51.6789025Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6789672Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6795927Z 
2023-01-11T21:01:51.6796087Z aten = torch.ops.aten
2023-01-11T21:01:51.6796456Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6796816Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6797007Z 
2023-01-11T21:01:51.6797015Z 
2023-01-11T21:01:51.6797145Z async_compile.wait(globals())
2023-01-11T21:01:51.6797424Z del async_compile
2023-01-11T21:01:51.6797582Z 
2023-01-11T21:01:51.6797686Z def call(args):
2023-01-11T21:01:51.6797937Z     inp_1, weight_1 = args
2023-01-11T21:01:51.6798206Z     args.clear()
2023-01-11T21:01:51.6798550Z     buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.6798936Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2023-01-11T21:01:51.6799224Z     del inp_1
2023-01-11T21:01:51.6799468Z     del weight_1
2023-01-11T21:01:51.6799709Z     return (buf0, )
2023-01-11T21:01:51.6799864Z 
2023-01-11T21:01:51.6799872Z 
2023-01-11T21:01:51.6799980Z if __name__ == "__main__":
2023-01-11T21:01:51.6800297Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.6800680Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.6801267Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6801832Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6802241Z     print_performance(lambda: call([inp_1, weight_1]))
2023-01-11T21:01:51.6802461Z 
2023-01-11T21:01:51.6802544Z ok (1.604s)
2023-01-11T21:01:51.6803213Z   test_cpp_kernel_profile (__main__.CPUReproTests) ... STAGE:2023-01-11 20:51:01 1287:1287 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:01:51.6804272Z [2023-01-11 20:51:01,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0
2023-01-11T21:01:51.6805129Z [2023-01-11 20:51:04,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0
2023-01-11T21:01:51.6805952Z STAGE:2023-01-11 20:51:04 1287:1287 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:01:51.6806649Z STAGE:2023-01-11 20:51:04 1287:1287 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:01:51.6806988Z 
2023-01-11T21:01:51.6807163Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6807527Z import torch
2023-01-11T21:01:51.6807871Z import random
2023-01-11T21:01:51.6808211Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6808669Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6808932Z 
2023-01-11T21:01:51.6809088Z aten = torch.ops.aten
2023-01-11T21:01:51.6809471Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6809929Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6810154Z 
2023-01-11T21:01:51.6810164Z 
2023-01-11T21:01:51.6810403Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.6810747Z #include <ATen/record_function.h>
2023-01-11T21:01:51.6811306Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.6811875Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.6812329Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.6812683Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.6813027Z {
2023-01-11T21:01:51.6813476Z     RECORD_FUNCTION("graph_0_kernel_cpp_0", c10::ArrayRef<c10::IValue>({}));
2023-01-11T21:01:51.6813878Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6814256Z     {
2023-01-11T21:01:51.6814570Z         #pragma omp for 
2023-01-11T21:01:51.6814865Z         for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.6815181Z         {
2023-01-11T21:01:51.6852759Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.6853326Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.6853828Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6854351Z             tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.6854720Z         }
2023-01-11T21:01:51.6855140Z         #pragma omp for simd simdlen(4) 
2023-01-11T21:01:51.6855430Z         for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:51.6855654Z         {
2023-01-11T21:01:51.6856017Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.6856449Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.6856815Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6895810Z             out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.6896160Z         }
2023-01-11T21:01:51.6896435Z     }
2023-01-11T21:01:51.6896692Z }
2023-01-11T21:01:51.6896915Z ''')
2023-01-11T21:01:51.6897009Z 
2023-01-11T21:01:51.6897013Z 
2023-01-11T21:01:51.6897113Z async_compile.wait(globals())
2023-01-11T21:01:51.6897442Z del async_compile
2023-01-11T21:01:51.6897606Z 
2023-01-11T21:01:51.6897737Z def call(args):
2023-01-11T21:01:51.6898034Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.6898290Z     args.clear()
2023-01-11T21:01:51.6898868Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6899387Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.6899732Z     del arg0_1
2023-01-11T21:01:51.6899900Z     del arg1_1
2023-01-11T21:01:51.6900055Z     return (buf0, )
2023-01-11T21:01:51.6900164Z 
2023-01-11T21:01:51.6900168Z 
2023-01-11T21:01:51.6900243Z if __name__ == "__main__":
2023-01-11T21:01:51.6900462Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.6900913Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.6901434Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6902082Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6902406Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.6902541Z 
2023-01-11T21:01:51.6902595Z ok (3.837s)
2023-01-11T21:01:51.6902796Z   test_cpu_vec_cosim (__main__.CPUReproTests) ... ok (0.002s)
2023-01-11T21:01:51.6903282Z   test_inplace_add_alpha (__main__.CPUReproTests) ... [2023-01-11 20:51:04,854] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.6903774Z [2023-01-11 20:51:06,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.6904055Z 
2023-01-11T21:01:51.6904217Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6904507Z import torch
2023-01-11T21:01:51.6904792Z import random
2023-01-11T21:01:51.6905111Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6905553Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6905809Z 
2023-01-11T21:01:51.6905947Z aten = torch.ops.aten
2023-01-11T21:01:51.6906380Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6906698Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6906836Z 
2023-01-11T21:01:51.6906841Z 
2023-01-11T21:01:51.6906972Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.6907478Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.6908030Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.6908425Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.6908791Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.6909117Z {
2023-01-11T21:01:51.6909337Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6909522Z     {
2023-01-11T21:01:51.6909666Z         #pragma omp for 
2023-01-11T21:01:51.6909842Z         for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.6910001Z         {
2023-01-11T21:01:51.6910217Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.6910484Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.6910752Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(0.55));
2023-01-11T21:01:51.6910976Z             auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.6911155Z             auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.6911343Z             tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.6911544Z         }
2023-01-11T21:01:51.6911788Z         #pragma omp for simd simdlen(4) 
2023-01-11T21:01:51.6912093Z         for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.6912356Z         {
2023-01-11T21:01:51.6912589Z             auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.6912942Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.6913256Z             auto tmp2 = static_cast<float>(0.55);
2023-01-11T21:01:51.6913575Z             auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.6913844Z             auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.6914031Z             out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.6914192Z         }
2023-01-11T21:01:51.6914342Z     }
2023-01-11T21:01:51.6914493Z }
2023-01-11T21:01:51.6914664Z ''')
2023-01-11T21:01:51.6914753Z 
2023-01-11T21:01:51.6914757Z 
2023-01-11T21:01:51.6914844Z async_compile.wait(globals())
2023-01-11T21:01:51.6915035Z del async_compile
2023-01-11T21:01:51.6915143Z 
2023-01-11T21:01:51.6915215Z def call(args):
2023-01-11T21:01:51.6915373Z     x_1, y_1 = args
2023-01-11T21:01:51.6915544Z     args.clear()
2023-01-11T21:01:51.6915802Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr()))
2023-01-11T21:01:51.6916025Z     del y_1
2023-01-11T21:01:51.6916180Z     return (x_1, )
2023-01-11T21:01:51.6916354Z 
2023-01-11T21:01:51.6916359Z 
2023-01-11T21:01:51.6916435Z if __name__ == "__main__":
2023-01-11T21:01:51.6916635Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.6916911Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.6917583Z     x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6918119Z     y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6918517Z     print_performance(lambda: call([x_1, y_1]))
2023-01-11T21:01:51.6918734Z 
2023-01-11T21:01:51.6918833Z ok (1.527s)
2023-01-11T21:01:51.6919378Z   test_inplace_squeeze_needed (__main__.CPUReproTests) ... [2023-01-11 20:51:06,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1
2023-01-11T21:01:51.6919869Z [2023-01-11 20:51:08,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1
2023-01-11T21:01:51.6920065Z 
2023-01-11T21:01:51.6920152Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6920351Z import torch
2023-01-11T21:01:51.6920506Z import random
2023-01-11T21:01:51.6920717Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6920975Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6921124Z 
2023-01-11T21:01:51.6921199Z aten = torch.ops.aten
2023-01-11T21:01:51.6921427Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6921674Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6921804Z 
2023-01-11T21:01:51.6921808Z 
2023-01-11T21:01:51.6921943Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.6922263Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.6922602Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.6922846Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.6923056Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.6923272Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.6923734Z                        const float* __restrict__ in_ptr3,
2023-01-11T21:01:51.6924066Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.6924401Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.6924620Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.6924836Z                        bool* __restrict__ out_ptr4)
2023-01-11T21:01:51.6925003Z {
2023-01-11T21:01:51.6925167Z     auto in_ptr0 = in_out_ptr0;
2023-01-11T21:01:51.6925369Z     auto out_ptr1 = in_out_ptr1;
2023-01-11T21:01:51.6925527Z     {
2023-01-11T21:01:51.6925808Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.6926074Z         float tmp3 = 0;
2023-01-11T21:01:51.6926283Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:51.6926514Z         #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6926696Z         {
2023-01-11T21:01:51.6926885Z             #pragma omp for reduction(+:tmp3_vec) 
2023-01-11T21:01:51.6927093Z             for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.6927268Z             {
2023-01-11T21:01:51.6927633Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.6927904Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.6928142Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6928339Z                 tmp3_vec += tmp2;
2023-01-11T21:01:51.6928501Z             }
2023-01-11T21:01:51.6928789Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:51.6929113Z             #pragma omp for simd simdlen(4) reduction(+:tmp3) 
2023-01-11T21:01:51.6929343Z             for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.6929508Z             {
2023-01-11T21:01:51.6929794Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.6929989Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.6930168Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6930350Z                 tmp3 += tmp2;
2023-01-11T21:01:51.6930555Z             }
2023-01-11T21:01:51.6930701Z         }
2023-01-11T21:01:51.6930870Z         out_ptr0[0] = tmp3;
2023-01-11T21:01:51.6931031Z     }
2023-01-11T21:01:51.6931174Z     {
2023-01-11T21:01:51.6931440Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.6931709Z         float tmp8 = 0;
2023-01-11T21:01:51.6931915Z         auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2023-01-11T21:01:51.6932122Z         float tmp9 = 0;
2023-01-11T21:01:51.6932336Z         auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2023-01-11T21:01:51.6932573Z         #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6932747Z         {
2023-01-11T21:01:51.6932966Z             #pragma omp for reduction(+:tmp8_vec) reduction(+:tmp9_vec) 
2023-01-11T21:01:51.6933201Z             for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.6933362Z             {
2023-01-11T21:01:51.6933576Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.6933843Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.6934095Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[0]);
2023-01-11T21:01:51.6934317Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6934556Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(10));
2023-01-11T21:01:51.6934791Z                 auto tmp5 = tmp3 / tmp4;
2023-01-11T21:01:51.6935050Z                 auto tmp6 = tmp2 - tmp5;
2023-01-11T21:01:51.6935248Z                 auto tmp7 = tmp6.pow(2);
2023-01-11T21:01:51.6935436Z                 tmp8_vec += tmp7;
2023-01-11T21:01:51.6935608Z                 tmp9_vec += tmp2;
2023-01-11T21:01:51.6935771Z             }
2023-01-11T21:01:51.6936047Z             tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2023-01-11T21:01:51.6936429Z             tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2023-01-11T21:01:51.6936769Z             #pragma omp for simd simdlen(4) reduction(+:tmp8) reduction(+:tmp9) 
2023-01-11T21:01:51.6937009Z             for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.6937186Z             {
2023-01-11T21:01:51.6937351Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.6937548Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.6937748Z                 auto tmp3 = out_ptr0[0];
2023-01-11T21:01:51.6937933Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6938143Z                 auto tmp4 = static_cast<float>(10);
2023-01-11T21:01:51.6938358Z                 auto tmp5 = tmp3 / tmp4;
2023-01-11T21:01:51.6938590Z                 auto tmp6 = tmp2 - tmp5;
2023-01-11T21:01:51.6938787Z                 auto tmp7 = tmp6 * tmp6;
2023-01-11T21:01:51.6938973Z                 tmp8 += tmp7;
2023-01-11T21:01:51.6939142Z                 tmp9 += tmp2;
2023-01-11T21:01:51.6939309Z             }
2023-01-11T21:01:51.6939462Z         }
2023-01-11T21:01:51.6939672Z         out_ptr1[0] = tmp8;
2023-01-11T21:01:51.6939878Z         out_ptr2[0] = tmp9;
2023-01-11T21:01:51.6940041Z     }
2023-01-11T21:01:51.6940210Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6940396Z     {
2023-01-11T21:01:51.6940555Z         #pragma omp for 
2023-01-11T21:01:51.6940726Z         for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:51.6940899Z         {
2023-01-11T21:01:51.6941047Z             {
2023-01-11T21:01:51.6941191Z                 {
2023-01-11T21:01:51.6941381Z                     auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.6941593Z                     auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.6941852Z                     auto tmp3 = out_ptr2[0];
2023-01-11T21:01:51.6942042Z                     auto tmp7 = out_ptr1[0];
2023-01-11T21:01:51.6942250Z                     auto tmp13 = in_ptr2[i0];
2023-01-11T21:01:51.6942487Z                     auto tmp15 = in_ptr3[i0];
2023-01-11T21:01:51.6942684Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.6942900Z                     auto tmp4 = static_cast<float>(10);
2023-01-11T21:01:51.6943114Z                     auto tmp5 = tmp3 / tmp4;
2023-01-11T21:01:51.6943359Z                     auto tmp6 = tmp2 - tmp5;
2023-01-11T21:01:51.6943565Z                     auto tmp8 = tmp7 / tmp4;
2023-01-11T21:01:51.6943841Z                     auto tmp9 = static_cast<float>(1e-05);
2023-01-11T21:01:51.6944049Z                     auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.6944269Z                     auto tmp11 = 1 / std::sqrt(tmp10);
2023-01-11T21:01:51.6944482Z                     auto tmp12 = tmp6 * tmp11;
2023-01-11T21:01:51.6944679Z                     auto tmp14 = tmp12 * tmp13;
2023-01-11T21:01:51.6944891Z                     auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.6945100Z                     auto tmp17 = tmp16 * (tmp16>0);
2023-01-11T21:01:51.6945323Z                     auto tmp18 = static_cast<float>(0);
2023-01-11T21:01:51.6945526Z                     auto tmp19 = tmp17 <= tmp18;
2023-01-11T21:01:51.6945732Z                     in_out_ptr0[i0] = tmp12;
2023-01-11T21:01:51.6945935Z                     out_ptr3[i0] = tmp17;
2023-01-11T21:01:51.6946114Z                     out_ptr4[i0] = tmp19;
2023-01-11T21:01:51.6946292Z                 }
2023-01-11T21:01:51.6946446Z             }
2023-01-11T21:01:51.6946590Z         }
2023-01-11T21:01:51.6946758Z         #pragma omp single
2023-01-11T21:01:51.6946929Z         {
2023-01-11T21:01:51.6947065Z             {
2023-01-11T21:01:51.6947218Z                 {
2023-01-11T21:01:51.6947399Z                     auto tmp0 = out_ptr1[0];
2023-01-11T21:01:51.6947604Z                     auto tmp1 = static_cast<float>(10);
2023-01-11T21:01:51.6947822Z                     auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.6948097Z                     auto tmp3 = static_cast<float>(1e-05);
2023-01-11T21:01:51.6948302Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.6948518Z                     auto tmp5 = 1 / std::sqrt(tmp4);
2023-01-11T21:01:51.6948728Z                     auto tmp6 = tmp5 / tmp1;
2023-01-11T21:01:51.6948916Z                     in_out_ptr1[0] = tmp6;
2023-01-11T21:01:51.6949094Z                 }
2023-01-11T21:01:51.6949249Z             }
2023-01-11T21:01:51.6949406Z         }
2023-01-11T21:01:51.6949543Z     }
2023-01-11T21:01:51.6949685Z }
2023-01-11T21:01:51.6949830Z ''')
2023-01-11T21:01:51.6949921Z 
2023-01-11T21:01:51.6949926Z 
2023-01-11T21:01:51.6950012Z async_compile.wait(globals())
2023-01-11T21:01:51.6950202Z del async_compile
2023-01-11T21:01:51.6950307Z 
2023-01-11T21:01:51.6950377Z def call(args):
2023-01-11T21:01:51.6950589Z     primals_1, primals_2, primals_3, primals_4, primals_5 = args
2023-01-11T21:01:51.6950810Z     args.clear()
2023-01-11T21:01:51.6951106Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6951399Z     aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0)
2023-01-11T21:01:51.6951637Z     del primals_1
2023-01-11T21:01:51.6951928Z     buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6952254Z     buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6952587Z     buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6952840Z     buf4 = as_strided(buf0, (10, ), (1, )); del buf0  # reuse
2023-01-11T21:01:51.6953249Z     buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6953570Z     buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.6953802Z     buf7 = buf2; del buf2  # reuse
2023-01-11T21:01:51.6954316Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2023-01-11T21:01:51.6954705Z     del buf1
2023-01-11T21:01:51.6954851Z     del buf3
2023-01-11T21:01:51.6955014Z     del primals_2
2023-01-11T21:01:51.6955189Z     del primals_4
2023-01-11T21:01:51.6955414Z     return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, )
2023-01-11T21:01:51.6955579Z 
2023-01-11T21:01:51.6955584Z 
2023-01-11T21:01:51.6955660Z if __name__ == "__main__":
2023-01-11T21:01:51.6955880Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.6956143Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.6956485Z     primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6956846Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6957189Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6957525Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6957864Z     primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6958176Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5]))
2023-01-11T21:01:51.6958359Z 
2023-01-11T21:01:51.6958424Z ok (2.112s)
2023-01-11T21:01:51.6958860Z   test_load_same_bool_tensor_twice (__main__.CPUReproTests) ... [2023-01-11 20:51:08,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2
2023-01-11T21:01:51.6959360Z [2023-01-11 20:51:10,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2
2023-01-11T21:01:51.6959557Z 
2023-01-11T21:01:51.6959648Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6959829Z import torch
2023-01-11T21:01:51.6959995Z import random
2023-01-11T21:01:51.6960207Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6960455Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6960605Z 
2023-01-11T21:01:51.6960682Z aten = torch.ops.aten
2023-01-11T21:01:51.6960922Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6961168Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6961282Z 
2023-01-11T21:01:51.6961286Z 
2023-01-11T21:01:51.6961420Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.6961746Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.6962085Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.6962316Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.6962543Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.6962762Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.6962946Z {
2023-01-11T21:01:51.6963112Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6963297Z     {
2023-01-11T21:01:51.6963634Z         #pragma omp for 
2023-01-11T21:01:51.6963815Z         for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.6964047Z         {
2023-01-11T21:01:51.6964373Z             float g_tmp_buffer_in_ptr0[8] = {0};
2023-01-11T21:01:51.6964743Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.6965179Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2023-01-11T21:01:51.6965621Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.6966018Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.6966555Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2023-01-11T21:01:51.6966966Z             auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2023-01-11T21:01:51.6967415Z             tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.6967713Z             tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.6967987Z         }
2023-01-11T21:01:51.6968324Z         #pragma omp for simd simdlen(4) 
2023-01-11T21:01:51.6968619Z         for(long i0=32; i0<34; i0+=1)
2023-01-11T21:01:51.6968898Z         {
2023-01-11T21:01:51.6969161Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.6969449Z             auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.6969856Z             auto tmp1 = static_cast<float>(-33.0);
2023-01-11T21:01:51.6970194Z             auto tmp3 = tmp0 ? tmp1 : tmp2;
2023-01-11T21:01:51.6970476Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.6970756Z             out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.6971012Z         }
2023-01-11T21:01:51.6971226Z     }
2023-01-11T21:01:51.6971452Z }
2023-01-11T21:01:51.6971691Z ''')
2023-01-11T21:01:51.6971829Z 
2023-01-11T21:01:51.6971836Z 
2023-01-11T21:01:51.6971970Z async_compile.wait(globals())
2023-01-11T21:01:51.6972242Z del async_compile
2023-01-11T21:01:51.6972407Z 
2023-01-11T21:01:51.6972509Z def call(args):
2023-01-11T21:01:51.6972792Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.6973078Z     args.clear()
2023-01-11T21:01:51.6973545Z     buf0 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6974121Z     buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6974640Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.6975058Z     del arg0_1
2023-01-11T21:01:51.6975312Z     del arg1_1
2023-01-11T21:01:51.6975563Z     return (buf0, buf1, )
2023-01-11T21:01:51.6975739Z 
2023-01-11T21:01:51.6975746Z 
2023-01-11T21:01:51.6975863Z if __name__ == "__main__":
2023-01-11T21:01:51.6976196Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.6976617Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.6977152Z     arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.6977687Z     arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.6978099Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.6978319Z 
2023-01-11T21:01:51.6978409Z ok (1.546s)
2023-01-11T21:01:51.6979100Z   test_masked_fill_softmax (__main__.CPUReproTests) ... [2023-01-11 20:51:10,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3
2023-01-11T21:01:51.6980061Z [2023-01-11 20:51:11,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3
2023-01-11T21:01:51.6980388Z 
2023-01-11T21:01:51.6980525Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.6980804Z import torch
2023-01-11T21:01:51.6981074Z import random
2023-01-11T21:01:51.6981413Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.6981831Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.6982080Z 
2023-01-11T21:01:51.6982200Z aten = torch.ops.aten
2023-01-11T21:01:51.6982599Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.6983003Z async_compile = AsyncCompile()
2023-01-11T21:01:51.6983182Z 
2023-01-11T21:01:51.6983189Z 
2023-01-11T21:01:51.6983419Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.6983964Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.6984522Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.6984931Z                        const unsigned char* __restrict__ in_ptr0,
2023-01-11T21:01:51.6985362Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.6985762Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.6986139Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.6986448Z {
2023-01-11T21:01:51.6986757Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:51.6987212Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.6987527Z     {
2023-01-11T21:01:51.6987815Z         #pragma omp for 
2023-01-11T21:01:51.6988141Z         for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.6988454Z         {
2023-01-11T21:01:51.6988696Z             {
2023-01-11T21:01:51.6989468Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:51.6990215Z                 float tmp5 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.6990624Z                 auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2023-01-11T21:01:51.6990998Z                 for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.6991272Z                 {
2023-01-11T21:01:51.6991559Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2023-01-11T21:01:51.6991971Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.6992478Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2023-01-11T21:01:51.6993057Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2023-01-11T21:01:51.6993409Z                     auto tmp1 = (tmp0);
2023-01-11T21:01:51.6993972Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2023-01-11T21:01:51.6994457Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2023-01-11T21:01:51.6994915Z                     tmp5_vec = at::vec::maximum(tmp5_vec, tmp4);
2023-01-11T21:01:51.6995262Z                 }
2023-01-11T21:01:51.6995828Z                 tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp5_vec);
2023-01-11T21:01:51.6996419Z                 #pragma omp simd simdlen(4)  reduction(max:tmp5)
2023-01-11T21:01:51.6996826Z                 for(long i1=16; i1<17; i1+=1)
2023-01-11T21:01:51.6997143Z                 {
2023-01-11T21:01:51.6997475Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2023-01-11T21:01:51.6997841Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2023-01-11T21:01:51.6998257Z                     auto tmp1 = static_cast<bool>(tmp0);
2023-01-11T21:01:51.6998789Z                     auto tmp2 = static_cast<float>(-33.0);
2023-01-11T21:01:51.6999164Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2023-01-11T21:01:51.6999549Z                     tmp5 = std::max(tmp5, tmp4);
2023-01-11T21:01:51.6999874Z                 }
2023-01-11T21:01:51.7000187Z                 out_ptr0[i0] = tmp5;
2023-01-11T21:01:51.7000488Z             }
2023-01-11T21:01:51.7000758Z         }
2023-01-11T21:01:51.7001062Z         #pragma omp for 
2023-01-11T21:01:51.7001377Z         for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7001680Z         {
2023-01-11T21:01:51.7001939Z             {
2023-01-11T21:01:51.7002418Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.7002903Z                 float tmp8 = 0;
2023-01-11T21:01:51.7003331Z                 auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2023-01-11T21:01:51.7003850Z                 for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.7004173Z                 {
2023-01-11T21:01:51.7004537Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2023-01-11T21:01:51.7004994Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.7005537Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2023-01-11T21:01:51.7006075Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2023-01-11T21:01:51.7006592Z                     auto tmp5 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:51.7006990Z                     auto tmp1 = (tmp0);
2023-01-11T21:01:51.7007761Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2023-01-11T21:01:51.7008254Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2023-01-11T21:01:51.7008837Z                     auto tmp6 = tmp4 - tmp5;
2023-01-11T21:01:51.7009203Z                     auto tmp7 = tmp6.exp();
2023-01-11T21:01:51.7009598Z                     tmp7.store(out_ptr1 + (8*i1) + (17*i0));
2023-01-11T21:01:51.7009972Z                     tmp8_vec += tmp7;
2023-01-11T21:01:51.7010298Z                 }
2023-01-11T21:01:51.7010803Z                 tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2023-01-11T21:01:51.7011372Z                 #pragma omp simd simdlen(4)  reduction(+:tmp8)
2023-01-11T21:01:51.7011785Z                 for(long i1=16; i1<17; i1+=1)
2023-01-11T21:01:51.7012093Z                 {
2023-01-11T21:01:51.7012425Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2023-01-11T21:01:51.7012829Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2023-01-11T21:01:51.7013202Z                     auto tmp5 = out_ptr0[i0];
2023-01-11T21:01:51.7013611Z                     auto tmp1 = static_cast<bool>(tmp0);
2023-01-11T21:01:51.7014159Z                     auto tmp2 = static_cast<float>(-33.0);
2023-01-11T21:01:51.7014561Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2023-01-11T21:01:51.7015033Z                     auto tmp6 = tmp4 - tmp5;
2023-01-11T21:01:51.7015425Z                     auto tmp7 = std::exp(tmp6);
2023-01-11T21:01:51.7015782Z                     out_ptr1[i1 + (17*i0)] = tmp7;
2023-01-11T21:01:51.7016132Z                     tmp8 += tmp7;
2023-01-11T21:01:51.7016441Z                 }
2023-01-11T21:01:51.7016743Z                 out_ptr2[i0] = tmp8;
2023-01-11T21:01:51.7017062Z             }
2023-01-11T21:01:51.7017341Z         }
2023-01-11T21:01:51.7017631Z         #pragma omp for 
2023-01-11T21:01:51.7017947Z         for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7018254Z         {
2023-01-11T21:01:51.7018566Z             for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.7018870Z             {
2023-01-11T21:01:51.7019274Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (17*i0));
2023-01-11T21:01:51.7019758Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2023-01-11T21:01:51.7020164Z                 auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.7020564Z                 tmp2.store(in_out_ptr0 + (8*i1) + (17*i0));
2023-01-11T21:01:51.7020898Z             }
2023-01-11T21:01:51.7021217Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7021574Z             for(long i1=16; i1<17; i1+=1)
2023-01-11T21:01:51.7021882Z             {
2023-01-11T21:01:51.7022218Z                 auto tmp0 = out_ptr1[i1 + (17*i0)];
2023-01-11T21:01:51.7022576Z                 auto tmp1 = out_ptr2[i0];
2023-01-11T21:01:51.7022940Z                 auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.7023303Z                 in_out_ptr0[i1 + (17*i0)] = tmp2;
2023-01-11T21:01:51.7023624Z             }
2023-01-11T21:01:51.7023908Z         }
2023-01-11T21:01:51.7024182Z     }
2023-01-11T21:01:51.7024433Z }
2023-01-11T21:01:51.7024736Z ''')
2023-01-11T21:01:51.7024909Z 
2023-01-11T21:01:51.7024921Z 
2023-01-11T21:01:51.7025084Z async_compile.wait(globals())
2023-01-11T21:01:51.7025420Z del async_compile
2023-01-11T21:01:51.7025625Z 
2023-01-11T21:01:51.7025751Z def call(args):
2023-01-11T21:01:51.7026069Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7026366Z     args.clear()
2023-01-11T21:01:51.7026900Z     buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7032658Z     buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7033294Z     buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7033670Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:51.7034147Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7034681Z     del arg0_1
2023-01-11T21:01:51.7034978Z     del arg1_1
2023-01-11T21:01:51.7035283Z     return (buf3, )
2023-01-11T21:01:51.7035505Z 
2023-01-11T21:01:51.7035513Z 
2023-01-11T21:01:51.7035651Z if __name__ == "__main__":
2023-01-11T21:01:51.7036054Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7036539Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7037135Z     arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7037766Z     arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8)
2023-01-11T21:01:51.7038251Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7038502Z 
2023-01-11T21:01:51.7038612Z ok (1.619s)
2023-01-11T21:01:51.7039387Z   test_new_vec_op_cpu_only (__main__.CPUReproTests) ... [2023-01-11 20:51:11,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.7040286Z [2023-01-11 20:51:13,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.7040642Z 
2023-01-11T21:01:51.7040812Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7041124Z import torch
2023-01-11T21:01:51.7041432Z import random
2023-01-11T21:01:51.7041822Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7042289Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7042575Z 
2023-01-11T21:01:51.7042716Z aten = torch.ops.aten
2023-01-11T21:01:51.7043159Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7043690Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7043904Z 
2023-01-11T21:01:51.7043930Z 
2023-01-11T21:01:51.7044167Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7044771Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7045394Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7045770Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7046099Z {
2023-01-11T21:01:51.7046485Z     #pragma omp parallel num_threads(4)
2023-01-11T21:01:51.7046798Z     {
2023-01-11T21:01:51.7047100Z         #pragma omp for 
2023-01-11T21:01:51.7047431Z         for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7047742Z         {
2023-01-11T21:01:51.7048123Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7048546Z             auto tmp1 = tmp0.erf();
2023-01-11T21:01:51.7048905Z             auto tmp2 = tmp1.expm1();
2023-01-11T21:01:51.7049247Z             auto tmp3 = tmp2.log1p();
2023-01-11T21:01:51.7049606Z             tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7049916Z         }
2023-01-11T21:01:51.7050228Z         #pragma omp for simd simdlen(4) 
2023-01-11T21:01:51.7050590Z         for(long i0=16; i0<18; i0+=1)
2023-01-11T21:01:51.7050891Z         {
2023-01-11T21:01:51.7051163Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7051527Z             auto tmp1 = std::erf(tmp0);
2023-01-11T21:01:51.7051903Z             auto tmp2 = std::expm1(tmp1);
2023-01-11T21:01:51.7052305Z             auto tmp3 = std::log1p(tmp2);
2023-01-11T21:01:51.7052644Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.7052947Z         }
2023-01-11T21:01:51.7053220Z     }
2023-01-11T21:01:51.7053457Z }
2023-01-11T21:01:51.7053771Z ''')
2023-01-11T21:01:51.7053948Z 
2023-01-11T21:01:51.7053956Z 
2023-01-11T21:01:51.7054097Z async_compile.wait(globals())
2023-01-11T21:01:51.7054413Z del async_compile
2023-01-11T21:01:51.7054606Z 
2023-01-11T21:01:51.7054728Z def call(args):
2023-01-11T21:01:51.7055023Z     x_1, = args
2023-01-11T21:01:51.7055302Z     args.clear()
2023-01-11T21:01:51.7055830Z     buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7056335Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7056774Z     del x_1
2023-01-11T21:01:51.7057035Z     return (buf0, )
2023-01-11T21:01:51.7057211Z 
2023-01-11T21:01:51.7057220Z 
2023-01-11T21:01:51.7057341Z if __name__ == "__main__":
2023-01-11T21:01:51.7057784Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7058242Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7058853Z     x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7059291Z     print_performance(lambda: call([x_1]))
2023-01-11T21:01:51.7059533Z 
2023-01-11T21:01:51.7059626Z ok (1.531s)
2023-01-11T21:01:51.7060423Z   test_no_op_squeeze (__main__.CPUReproTests) ... [2023-01-11 20:51:13,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4
2023-01-11T21:01:51.7061324Z [2023-01-11 20:51:13,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4
2023-01-11T21:01:51.7061674Z 
2023-01-11T21:01:51.7061837Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7062150Z import torch
2023-01-11T21:01:51.7062443Z import random
2023-01-11T21:01:51.7062834Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7063306Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7063579Z 
2023-01-11T21:01:51.7063708Z aten = torch.ops.aten
2023-01-11T21:01:51.7064138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7064570Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7064780Z 
2023-01-11T21:01:51.7064788Z 
2023-01-11T21:01:51.7064934Z async_compile.wait(globals())
2023-01-11T21:01:51.7065262Z del async_compile
2023-01-11T21:01:51.7065450Z 
2023-01-11T21:01:51.7065573Z def call(args):
2023-01-11T21:01:51.7065860Z     arg0_1, = args
2023-01-11T21:01:51.7066144Z     args.clear()
2023-01-11T21:01:51.7066447Z     return (arg0_1, )
2023-01-11T21:01:51.7066637Z 
2023-01-11T21:01:51.7066643Z 
2023-01-11T21:01:51.7066764Z if __name__ == "__main__":
2023-01-11T21:01:51.7067132Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7067578Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7068197Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7068645Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7068895Z 
2023-01-11T21:01:51.7069020Z ok (0.022s)
2023-01-11T21:01:51.7069796Z   test_parallel_num_threads (__main__.CPUReproTests) ... [2023-01-11 20:51:13,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5
2023-01-11T21:01:51.7070649Z [2023-01-11 20:51:14,683] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5
2023-01-11T21:01:51.7071447Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:01:51.7072431Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:01:51.7072995Z 
2023-01-11T21:01:51.7073168Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7073505Z import torch
2023-01-11T21:01:51.7073784Z import random
2023-01-11T21:01:51.7074150Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7074616Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7074882Z 
2023-01-11T21:01:51.7075003Z aten = torch.ops.aten
2023-01-11T21:01:51.7075413Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7075794Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7075976Z 
2023-01-11T21:01:51.7075983Z 
2023-01-11T21:01:51.7076192Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7076660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7077248Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7077608Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7077920Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7078228Z {
2023-01-11T21:01:51.7078464Z     for(long i0=0; i0<25; i0+=1)
2023-01-11T21:01:51.7078693Z     {
2023-01-11T21:01:51.7079014Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7079430Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7079750Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7080042Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7080301Z     }
2023-01-11T21:01:51.7080542Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7080830Z     for(long i0=200; i0<200; i0+=1)
2023-01-11T21:01:51.7081075Z     {
2023-01-11T21:01:51.7081303Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7081589Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.7081864Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7082138Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7082367Z     }
2023-01-11T21:01:51.7082583Z }
2023-01-11T21:01:51.7082815Z ''')
2023-01-11T21:01:51.7082945Z 
2023-01-11T21:01:51.7082955Z 
2023-01-11T21:01:51.7083085Z async_compile.wait(globals())
2023-01-11T21:01:51.7083486Z del async_compile
2023-01-11T21:01:51.7083648Z 
2023-01-11T21:01:51.7083747Z def call(args):
2023-01-11T21:01:51.7083985Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7084238Z     args.clear()
2023-01-11T21:01:51.7084694Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7085145Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7085504Z     del arg0_1
2023-01-11T21:01:51.7085742Z     del arg1_1
2023-01-11T21:01:51.7085976Z     return (buf0, )
2023-01-11T21:01:51.7086132Z 
2023-01-11T21:01:51.7086138Z 
2023-01-11T21:01:51.7086249Z if __name__ == "__main__":
2023-01-11T21:01:51.7086570Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7086957Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7087458Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7087978Z     arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7088367Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7088578Z 
2023-01-11T21:01:51.7088660Z ok (1.493s)
2023-01-11T21:01:51.7089319Z   test_sign_cpu_only (__main__.CPUReproTests) ... [2023-01-11 20:51:14,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.7090061Z [2023-01-11 20:51:16,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.7090357Z 
2023-01-11T21:01:51.7090493Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7090767Z import torch
2023-01-11T21:01:51.7091040Z import random
2023-01-11T21:01:51.7091371Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7091780Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7092023Z 
2023-01-11T21:01:51.7092157Z aten = torch.ops.aten
2023-01-11T21:01:51.7092555Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7092931Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7093130Z 
2023-01-11T21:01:51.7093136Z 
2023-01-11T21:01:51.7093359Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7093901Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7094454Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7094825Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7095112Z {
2023-01-11T21:01:51.7095368Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7095642Z     {
2023-01-11T21:01:51.7096132Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7096655Z         auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2023-01-11T21:01:51.7097313Z         auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2023-01-11T21:01:51.7097818Z         auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:51.7098144Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7098431Z     }
2023-01-11T21:01:51.7098702Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7099023Z     for(long i0=16; i0<18; i0+=1)
2023-01-11T21:01:51.7099290Z     {
2023-01-11T21:01:51.7099541Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7099850Z         auto tmp1 = tmp0 > 0 ? 1 : 0;
2023-01-11T21:01:51.7100172Z         auto tmp2 = tmp0 < 0 ? 1 : 0;
2023-01-11T21:01:51.7100533Z         auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:51.7100849Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.7101129Z     }
2023-01-11T21:01:51.7101346Z }
2023-01-11T21:01:51.7101599Z ''')
2023-01-11T21:01:51.7101753Z 
2023-01-11T21:01:51.7101760Z 
2023-01-11T21:01:51.7101912Z async_compile.wait(globals())
2023-01-11T21:01:51.7102221Z del async_compile
2023-01-11T21:01:51.7102386Z 
2023-01-11T21:01:51.7102495Z def call(args):
2023-01-11T21:01:51.7102776Z     x_1, = args
2023-01-11T21:01:51.7103039Z     args.clear()
2023-01-11T21:01:51.7103546Z     buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7104030Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7104397Z     del x_1
2023-01-11T21:01:51.7104648Z     return (buf0, )
2023-01-11T21:01:51.7104843Z 
2023-01-11T21:01:51.7104850Z 
2023-01-11T21:01:51.7104980Z if __name__ == "__main__":
2023-01-11T21:01:51.7105327Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7105794Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7106356Z     x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7106791Z     print_performance(lambda: call([x_1]))
2023-01-11T21:01:51.7107005Z 
2023-01-11T21:01:51.7107114Z ok (1.506s)
2023-01-11T21:01:51.7107487Z   test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.003s)
2023-01-11T21:01:51.7108296Z   test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2023-01-11 20:51:16,373] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6
2023-01-11T21:01:51.7109165Z [2023-01-11 20:51:18,036] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6
2023-01-11T21:01:51.7109492Z 
2023-01-11T21:01:51.7109665Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7110000Z import torch
2023-01-11T21:01:51.7110299Z import random
2023-01-11T21:01:51.7110652Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7111104Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7111364Z 
2023-01-11T21:01:51.7111493Z aten = torch.ops.aten
2023-01-11T21:01:51.7111924Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7112310Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7112521Z 
2023-01-11T21:01:51.7112528Z 
2023-01-11T21:01:51.7112783Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7113422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7113998Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.7114425Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7114787Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7115136Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.7115447Z                        const long ks0,
2023-01-11T21:01:51.7115785Z                        const long ks1)
2023-01-11T21:01:51.7116062Z {
2023-01-11T21:01:51.7116346Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:51.7116750Z     #pragma GCC ivdep
2023-01-11T21:01:51.7117068Z     for(long i0=0; i0<ks0; i0+=1)
2023-01-11T21:01:51.7117344Z     {
2023-01-11T21:01:51.7117581Z         {
2023-01-11T21:01:51.7117850Z             {
2023-01-11T21:01:51.7118456Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.7118855Z                 for(long i1=0; i1<ks1; i1+=1)
2023-01-11T21:01:51.7119155Z                 {
2023-01-11T21:01:51.7119424Z                     {
2023-01-11T21:01:51.7119731Z                         auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2023-01-11T21:01:51.7120114Z                         tmp1 = std::max(tmp1, tmp0);
2023-01-11T21:01:51.7120422Z                     }
2023-01-11T21:01:51.7120656Z                 }
2023-01-11T21:01:51.7120947Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.7121226Z             }
2023-01-11T21:01:51.7121458Z         }
2023-01-11T21:01:51.7121711Z     }
2023-01-11T21:01:51.7121975Z     #pragma GCC ivdep
2023-01-11T21:01:51.7122272Z     for(long i0=0; i0<ks0; i0+=1)
2023-01-11T21:01:51.7122568Z     {
2023-01-11T21:01:51.7122818Z         {
2023-01-11T21:01:51.7123058Z             {
2023-01-11T21:01:51.7123335Z                 float tmp4 = 0;
2023-01-11T21:01:51.7123784Z                 for(long i1=0; i1<ks1; i1+=1)
2023-01-11T21:01:51.7124077Z                 {
2023-01-11T21:01:51.7124323Z                     {
2023-01-11T21:01:51.7124649Z                         auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2023-01-11T21:01:51.7124997Z                         auto tmp1 = out_ptr0[i0];
2023-01-11T21:01:51.7125408Z                         auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7125776Z                         auto tmp3 = std::exp(tmp2);
2023-01-11T21:01:51.7126130Z                         out_ptr1[i1 + (i0*ks1)] = tmp3;
2023-01-11T21:01:51.7126450Z                         tmp4 += tmp3;
2023-01-11T21:01:51.7126753Z                     }
2023-01-11T21:01:51.7127026Z                 }
2023-01-11T21:01:51.7127300Z                 out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.7127597Z             }
2023-01-11T21:01:51.7127855Z         }
2023-01-11T21:01:51.7128083Z     }
2023-01-11T21:01:51.7128348Z     #pragma GCC ivdep
2023-01-11T21:01:51.7128659Z     for(long i0=0; i0<ks0; i0+=1)
2023-01-11T21:01:51.7128927Z     {
2023-01-11T21:01:51.7129205Z         #pragma GCC ivdep
2023-01-11T21:01:51.7129521Z         for(long i1=0; i1<ks1; i1+=1)
2023-01-11T21:01:51.7129802Z         {
2023-01-11T21:01:51.7130032Z             {
2023-01-11T21:01:51.7130299Z                 {
2023-01-11T21:01:51.7130609Z                     auto tmp0 = out_ptr1[i1 + (i0*ks1)];
2023-01-11T21:01:51.7130959Z                     auto tmp1 = out_ptr2[i0];
2023-01-11T21:01:51.7131293Z                     auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.7131642Z                     in_out_ptr0[i1 + (i0*ks1)] = tmp2;
2023-01-11T21:01:51.7131933Z                 }
2023-01-11T21:01:51.7132193Z             }
2023-01-11T21:01:51.7132448Z         }
2023-01-11T21:01:51.7132677Z     }
2023-01-11T21:01:51.7132927Z }
2023-01-11T21:01:51.7133200Z ''')
2023-01-11T21:01:51.7133358Z 
2023-01-11T21:01:51.7133367Z 
2023-01-11T21:01:51.7133494Z async_compile.wait(globals())
2023-01-11T21:01:51.7133816Z del async_compile
2023-01-11T21:01:51.7133997Z 
2023-01-11T21:01:51.7134113Z def call(args):
2023-01-11T21:01:51.7134384Z     arg0_1, = args
2023-01-11T21:01:51.7134667Z     args.clear()
2023-01-11T21:01:51.7134959Z     arg0_1_size = arg0_1.size()
2023-01-11T21:01:51.7135259Z     s0 = arg0_1_size[0]
2023-01-11T21:01:51.7135528Z     s1 = arg0_1_size[1]
2023-01-11T21:01:51.7136022Z     buf0 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7136612Z     buf1 = empty_strided((s0, s1), (s1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7137194Z     buf2 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7137614Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:51.7138133Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_long(s0), c_long(s1))
2023-01-11T21:01:51.7138706Z     del arg0_1
2023-01-11T21:01:51.7138993Z     return (buf3, )
2023-01-11T21:01:51.7139177Z 
2023-01-11T21:01:51.7139184Z 
2023-01-11T21:01:51.7139356Z if __name__ == "__main__":
2023-01-11T21:01:51.7139721Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7140139Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7140712Z     arg0_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7141128Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7141351Z 
2023-01-11T21:01:51.7141437Z ok (1.848s)
2023-01-11T21:01:51.7142190Z   test_vec_kernel_cpu_only (__main__.CPUReproTests) ... [2023-01-11 20:51:18,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.7143019Z [2023-01-11 20:51:18,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.7143730Z [2023-01-11 20:51:19,115] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.7144441Z [2023-01-11 20:51:20,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.7145154Z [2023-01-11 20:51:20,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.7145469Z 
2023-01-11T21:01:51.7145618Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7145923Z import torch
2023-01-11T21:01:51.7146177Z import random
2023-01-11T21:01:51.7146528Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7146947Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7147201Z 
2023-01-11T21:01:51.7147301Z aten = torch.ops.aten
2023-01-11T21:01:51.7147701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7148106Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7148310Z 
2023-01-11T21:01:51.7148317Z 
2023-01-11T21:01:51.7148539Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7149055Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7149600Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7149990Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7150333Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7150595Z {
2023-01-11T21:01:51.7150845Z     #pragma GCC ivdep
2023-01-11T21:01:51.7151146Z     for(long i0=0; i0<200; i0+=1)
2023-01-11T21:01:51.7151394Z     {
2023-01-11T21:01:51.7151632Z         {
2023-01-11T21:01:51.7151883Z             {
2023-01-11T21:01:51.7152149Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7152476Z                 auto tmp12 = in_ptr1[i0];
2023-01-11T21:01:51.7152815Z                 auto tmp1 = std::abs(tmp0);
2023-01-11T21:01:51.7153214Z                 auto tmp2 = std::sin(tmp1);
2023-01-11T21:01:51.7153584Z                 auto tmp3 = -tmp2;
2023-01-11T21:01:51.7153897Z                 auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.7154303Z                 auto tmp5 = std::exp(-tmp4);
2023-01-11T21:01:51.7154605Z                 auto tmp6 = 1 / (1 + tmp5);
2023-01-11T21:01:51.7154935Z                 auto tmp7 = tmp6 * (tmp6>0);
2023-01-11T21:01:51.7155275Z                 auto tmp8 = std::cos(tmp7);
2023-01-11T21:01:51.7155580Z                 auto tmp9 = std::exp(tmp8);
2023-01-11T21:01:51.7155914Z                 auto tmp10 = std::sqrt(tmp9);
2023-01-11T21:01:51.7156265Z                 auto tmp11 = tmp10 + tmp0;
2023-01-11T21:01:51.7156673Z                 auto tmp13 = tmp11 - tmp12;
2023-01-11T21:01:51.7156984Z                 auto tmp14 = tmp13 * tmp0;
2023-01-11T21:01:51.7157310Z                 auto tmp15 = tmp14 / tmp0;
2023-01-11T21:01:51.7157629Z                 auto tmp16 = tmp15 * tmp15;
2023-01-11T21:01:51.7157936Z                 auto tmp17 = tmp16 * tmp16;
2023-01-11T21:01:51.7158336Z                 auto tmp18 = tmp17 * tmp15;
2023-01-11T21:01:51.7158660Z                 auto tmp19 = tmp18 * tmp18;
2023-01-11T21:01:51.7158967Z                 auto tmp20 = std::log(tmp19);
2023-01-11T21:01:51.7159350Z                 auto tmp21 = std::floor(tmp20);
2023-01-11T21:01:51.7159694Z                 auto tmp22 = std::ceil(tmp21);
2023-01-11T21:01:51.7160020Z                 auto tmp23 = std::trunc(tmp22);
2023-01-11T21:01:51.7160374Z                 auto tmp24 = std::lgamma(tmp23);
2023-01-11T21:01:51.7160729Z                 auto tmp25 = std::fmod(tmp24, tmp12);
2023-01-11T21:01:51.7161072Z                 auto tmp26 = tmp25 > 0 ? 1 : 0;
2023-01-11T21:01:51.7161369Z                 auto tmp27 = tmp25 < 0 ? 1 : 0;
2023-01-11T21:01:51.7161809Z                 auto tmp28 = tmp26 - tmp27;
2023-01-11T21:01:51.7162182Z                 auto tmp29 = tmp28 + tmp12;
2023-01-11T21:01:51.7162512Z                 out_ptr0[i0] = tmp29;
2023-01-11T21:01:51.7162827Z             }
2023-01-11T21:01:51.7163094Z         }
2023-01-11T21:01:51.7163342Z     }
2023-01-11T21:01:51.7163706Z }
2023-01-11T21:01:51.7163995Z ''')
2023-01-11T21:01:51.7164158Z 
2023-01-11T21:01:51.7164164Z 
2023-01-11T21:01:51.7164303Z async_compile.wait(globals())
2023-01-11T21:01:51.7164640Z del async_compile
2023-01-11T21:01:51.7164794Z 
2023-01-11T21:01:51.7164911Z def call(args):
2023-01-11T21:01:51.7165151Z     x1_1, x2_1 = args
2023-01-11T21:01:51.7165412Z     args.clear()
2023-01-11T21:01:51.7165870Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7166347Z     kernel_cpp_0(c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7166709Z     del x1_1
2023-01-11T21:01:51.7166953Z     del x2_1
2023-01-11T21:01:51.7167210Z     return (buf0, )
2023-01-11T21:01:51.7167356Z 
2023-01-11T21:01:51.7167380Z 
2023-01-11T21:01:51.7167480Z if __name__ == "__main__":
2023-01-11T21:01:51.7167822Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7168224Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7168743Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7169280Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7169668Z     print_performance(lambda: call([x1_1, x2_1]))
2023-01-11T21:01:51.7169893Z 
2023-01-11T21:01:51.7169901Z 
2023-01-11T21:01:51.7170043Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7170311Z import torch
2023-01-11T21:01:51.7170568Z import random
2023-01-11T21:01:51.7170887Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7171274Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7171513Z 
2023-01-11T21:01:51.7171633Z aten = torch.ops.aten
2023-01-11T21:01:51.7172006Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7172413Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7172592Z 
2023-01-11T21:01:51.7172598Z 
2023-01-11T21:01:51.7172806Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7173300Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7173841Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7174197Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7174550Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7174835Z {
2023-01-11T21:01:51.7175074Z     for(long i0=0; i0<25; i0+=1)
2023-01-11T21:01:51.7175329Z     {
2023-01-11T21:01:51.7175668Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7176097Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7176463Z         auto tmp1 = tmp0.abs();
2023-01-11T21:01:51.7176755Z         auto tmp2 = tmp1.sin();
2023-01-11T21:01:51.7177051Z         auto tmp3 = tmp2.neg();
2023-01-11T21:01:51.7284110Z         auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.7284703Z         auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2023-01-11T21:01:51.7285212Z         auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2023-01-11T21:01:51.7285753Z         auto tmp7 = tmp6.cos();
2023-01-11T21:01:51.7285964Z         auto tmp8 = tmp7.exp();
2023-01-11T21:01:51.7286148Z         auto tmp9 = tmp8.sqrt();
2023-01-11T21:01:51.7286326Z         auto tmp10 = tmp9 + tmp0;
2023-01-11T21:01:51.7286613Z         auto tmp12 = tmp10 - tmp11;
2023-01-11T21:01:51.7286801Z         auto tmp13 = tmp12 * tmp0;
2023-01-11T21:01:51.7286974Z         auto tmp14 = tmp13 / tmp0;
2023-01-11T21:01:51.7287158Z         auto tmp15 = tmp14 * tmp14;
2023-01-11T21:01:51.7287336Z         auto tmp16 = tmp15 * tmp15;
2023-01-11T21:01:51.7287513Z         auto tmp17 = tmp16 * tmp14;
2023-01-11T21:01:51.7287690Z         auto tmp18 = tmp17 * tmp17;
2023-01-11T21:01:51.7287878Z         auto tmp19 = tmp18.log();
2023-01-11T21:01:51.7288056Z         auto tmp20 = tmp19.floor();
2023-01-11T21:01:51.7288237Z         auto tmp21 = tmp20.ceil();
2023-01-11T21:01:51.7288416Z         auto tmp22 = tmp21.trunc();
2023-01-11T21:01:51.7288591Z         auto tmp23 = tmp22.lgamma();
2023-01-11T21:01:51.7288788Z         auto tmp24 = tmp23.fmod(tmp11);
2023-01-11T21:01:51.7289065Z         auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2023-01-11T21:01:51.7289402Z         auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2023-01-11T21:01:51.7289701Z         auto tmp27 = tmp25 - tmp26;
2023-01-11T21:01:51.7289881Z         auto tmp28 = tmp27 + tmp11;
2023-01-11T21:01:51.7290071Z         tmp28.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7290234Z     }
2023-01-11T21:01:51.7290392Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7290577Z     for(long i0=200; i0<200; i0+=1)
2023-01-11T21:01:51.7290732Z     {
2023-01-11T21:01:51.7290888Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7291071Z         auto tmp12 = in_ptr1[i0];
2023-01-11T21:01:51.7291249Z         auto tmp1 = std::abs(tmp0);
2023-01-11T21:01:51.7291431Z         auto tmp2 = std::sin(tmp1);
2023-01-11T21:01:51.7291640Z         auto tmp3 = -tmp2;
2023-01-11T21:01:51.7291812Z         auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.7292035Z         auto tmp5 = std::exp(-tmp4);
2023-01-11T21:01:51.7292219Z         auto tmp6 = 1 / (1 + tmp5);
2023-01-11T21:01:51.7292401Z         auto tmp7 = tmp6 * (tmp6>0);
2023-01-11T21:01:51.7292578Z         auto tmp8 = std::cos(tmp7);
2023-01-11T21:01:51.7292763Z         auto tmp9 = std::exp(tmp8);
2023-01-11T21:01:51.7292955Z         auto tmp10 = std::sqrt(tmp9);
2023-01-11T21:01:51.7293140Z         auto tmp11 = tmp10 + tmp0;
2023-01-11T21:01:51.7293355Z         auto tmp13 = tmp11 - tmp12;
2023-01-11T21:01:51.7293539Z         auto tmp14 = tmp13 * tmp0;
2023-01-11T21:01:51.7293709Z         auto tmp15 = tmp14 / tmp0;
2023-01-11T21:01:51.7293893Z         auto tmp16 = tmp15 * tmp15;
2023-01-11T21:01:51.7294080Z         auto tmp17 = tmp16 * tmp16;
2023-01-11T21:01:51.7294257Z         auto tmp18 = tmp17 * tmp15;
2023-01-11T21:01:51.7294448Z         auto tmp19 = tmp18 * tmp18;
2023-01-11T21:01:51.7294643Z         auto tmp20 = std::log(tmp19);
2023-01-11T21:01:51.7294834Z         auto tmp21 = std::floor(tmp20);
2023-01-11T21:01:51.7295038Z         auto tmp22 = std::ceil(tmp21);
2023-01-11T21:01:51.7295238Z         auto tmp23 = std::trunc(tmp22);
2023-01-11T21:01:51.7295445Z         auto tmp24 = std::lgamma(tmp23);
2023-01-11T21:01:51.7295647Z         auto tmp25 = std::fmod(tmp24, tmp12);
2023-01-11T21:01:51.7295840Z         auto tmp26 = tmp25 > 0 ? 1 : 0;
2023-01-11T21:01:51.7296024Z         auto tmp27 = tmp25 < 0 ? 1 : 0;
2023-01-11T21:01:51.7296247Z         auto tmp28 = tmp26 - tmp27;
2023-01-11T21:01:51.7296437Z         auto tmp29 = tmp28 + tmp12;
2023-01-11T21:01:51.7296622Z         out_ptr0[i0] = tmp29;
2023-01-11T21:01:51.7296856Z     }
2023-01-11T21:01:51.7297001Z }
2023-01-11T21:01:51.7297159Z ''')
2023-01-11T21:01:51.7297242Z 
2023-01-11T21:01:51.7297259Z 
2023-01-11T21:01:51.7297334Z async_compile.wait(globals())
2023-01-11T21:01:51.7297514Z del async_compile
2023-01-11T21:01:51.7297619Z 
2023-01-11T21:01:51.7297713Z def call(args):
2023-01-11T21:01:51.7297864Z     x1_1, x2_1 = args
2023-01-11T21:01:51.7298022Z     args.clear()
2023-01-11T21:01:51.7298309Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7298615Z     kernel_cpp_0(c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7298838Z     del x1_1
2023-01-11T21:01:51.7298985Z     del x2_1
2023-01-11T21:01:51.7299131Z     return (buf0, )
2023-01-11T21:01:51.7299225Z 
2023-01-11T21:01:51.7299230Z 
2023-01-11T21:01:51.7299297Z if __name__ == "__main__":
2023-01-11T21:01:51.7299510Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7299626Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7299816Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7300003Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7300101Z     print_performance(lambda: call([x1_1, x2_1]))
2023-01-11T21:01:51.7300112Z 
2023-01-11T21:01:51.7300116Z 
2023-01-11T21:01:51.7300196Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7300257Z import torch
2023-01-11T21:01:51.7300323Z import random
2023-01-11T21:01:51.7300429Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7300540Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7300546Z 
2023-01-11T21:01:51.7300619Z aten = torch.ops.aten
2023-01-11T21:01:51.7300746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7300824Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7300829Z 
2023-01-11T21:01:51.7300837Z 
2023-01-11T21:01:51.7300957Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7301160Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7301270Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7301373Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7301464Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7301518Z {
2023-01-11T21:01:51.7301585Z     #pragma GCC ivdep
2023-01-11T21:01:51.7301652Z     for(long i0=0; i0<20; i0+=1)
2023-01-11T21:01:51.7301704Z     {
2023-01-11T21:01:51.7301777Z         #pragma GCC ivdep
2023-01-11T21:01:51.7301851Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:51.7301905Z         {
2023-01-11T21:01:51.7301967Z             {
2023-01-11T21:01:51.7302018Z                 {
2023-01-11T21:01:51.7302112Z                     auto tmp0 = in_ptr0[i0 + (20*i1)];
2023-01-11T21:01:51.7302205Z                     auto tmp12 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:51.7302298Z                     auto tmp1 = std::abs(tmp0);
2023-01-11T21:01:51.7302389Z                     auto tmp2 = std::sin(tmp1);
2023-01-11T21:01:51.7302503Z                     auto tmp3 = -tmp2;
2023-01-11T21:01:51.7302592Z                     auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.7302729Z                     auto tmp5 = std::exp(-tmp4);
2023-01-11T21:01:51.7302805Z                     auto tmp6 = 1 / (1 + tmp5);
2023-01-11T21:01:51.7302890Z                     auto tmp7 = tmp6 * (tmp6>0);
2023-01-11T21:01:51.7302980Z                     auto tmp8 = std::cos(tmp7);
2023-01-11T21:01:51.7303066Z                     auto tmp9 = std::exp(tmp8);
2023-01-11T21:01:51.7303155Z                     auto tmp10 = std::sqrt(tmp9);
2023-01-11T21:01:51.7303242Z                     auto tmp11 = tmp10 + tmp0;
2023-01-11T21:01:51.7303370Z                     auto tmp13 = tmp11 - tmp12;
2023-01-11T21:01:51.7303447Z                     auto tmp14 = tmp13 * tmp0;
2023-01-11T21:01:51.7303532Z                     auto tmp15 = tmp14 / tmp0;
2023-01-11T21:01:51.7303650Z                     auto tmp16 = tmp15 * tmp15;
2023-01-11T21:01:51.7303736Z                     auto tmp17 = tmp16 * tmp16;
2023-01-11T21:01:51.7303817Z                     auto tmp18 = tmp17 * tmp15;
2023-01-11T21:01:51.7303943Z                     auto tmp19 = tmp18 * tmp18;
2023-01-11T21:01:51.7304035Z                     auto tmp20 = std::log(tmp19);
2023-01-11T21:01:51.7304123Z                     auto tmp21 = std::floor(tmp20);
2023-01-11T21:01:51.7304212Z                     auto tmp22 = std::ceil(tmp21);
2023-01-11T21:01:51.7304301Z                     auto tmp23 = std::trunc(tmp22);
2023-01-11T21:01:51.7304398Z                     auto tmp24 = std::lgamma(tmp23);
2023-01-11T21:01:51.7304494Z                     auto tmp25 = std::fmod(tmp24, tmp12);
2023-01-11T21:01:51.7304584Z                     auto tmp26 = tmp25 > 0 ? 1 : 0;
2023-01-11T21:01:51.7304668Z                     auto tmp27 = tmp25 < 0 ? 1 : 0;
2023-01-11T21:01:51.7304804Z                     auto tmp28 = tmp26 - tmp27;
2023-01-11T21:01:51.7304884Z                     auto tmp29 = tmp28 + tmp12;
2023-01-11T21:01:51.7304974Z                     out_ptr0[i0 + (20*i1)] = tmp29;
2023-01-11T21:01:51.7305037Z                 }
2023-01-11T21:01:51.7305101Z             }
2023-01-11T21:01:51.7305164Z         }
2023-01-11T21:01:51.7305222Z     }
2023-01-11T21:01:51.7305278Z }
2023-01-11T21:01:51.7305342Z ''')
2023-01-11T21:01:51.7305347Z 
2023-01-11T21:01:51.7305351Z 
2023-01-11T21:01:51.7305438Z async_compile.wait(globals())
2023-01-11T21:01:51.7305508Z del async_compile
2023-01-11T21:01:51.7305513Z 
2023-01-11T21:01:51.7305579Z def call(args):
2023-01-11T21:01:51.7305646Z     x1_1, x2_1 = args
2023-01-11T21:01:51.7305714Z     args.clear()
2023-01-11T21:01:51.7305912Z     buf0 = empty_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7306058Z     kernel_cpp_0(c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7306125Z     del x1_1
2023-01-11T21:01:51.7306186Z     del x2_1
2023-01-11T21:01:51.7306255Z     return (buf0, )
2023-01-11T21:01:51.7306260Z 
2023-01-11T21:01:51.7306264Z 
2023-01-11T21:01:51.7306336Z if __name__ == "__main__":
2023-01-11T21:01:51.7306451Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7306572Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7306766Z     x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7306944Z     x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7307051Z     print_performance(lambda: call([x1_1, x2_1]))
2023-01-11T21:01:51.7307313Z [2023-01-11 20:51:22,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.7307567Z [2023-01-11 20:51:22,519] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.7307821Z [2023-01-11 20:51:24,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.7307829Z 
2023-01-11T21:01:51.7307833Z 
2023-01-11T21:01:51.7307919Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7307984Z import torch
2023-01-11T21:01:51.7308048Z import random
2023-01-11T21:01:51.7308149Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7308261Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7308266Z 
2023-01-11T21:01:51.7308339Z aten = torch.ops.aten
2023-01-11T21:01:51.7308464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7308547Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7308552Z 
2023-01-11T21:01:51.7308556Z 
2023-01-11T21:01:51.7308679Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7308879Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7308988Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7309134Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7309220Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7309273Z {
2023-01-11T21:01:51.7309369Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7309428Z     {
2023-01-11T21:01:51.7309553Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7309676Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7309751Z         auto tmp1 = tmp0.abs();
2023-01-11T21:01:51.7309818Z         auto tmp2 = tmp1.sin();
2023-01-11T21:01:51.7309888Z         auto tmp3 = tmp2.neg();
2023-01-11T21:01:51.7309967Z         auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.7310093Z         auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2023-01-11T21:01:51.7310208Z         auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2023-01-11T21:01:51.7310285Z         auto tmp7 = tmp6.cos();
2023-01-11T21:01:51.7310359Z         auto tmp8 = tmp7.exp();
2023-01-11T21:01:51.7310427Z         auto tmp9 = tmp8.sqrt();
2023-01-11T21:01:51.7310502Z         auto tmp10 = tmp9 + tmp0;
2023-01-11T21:01:51.7310626Z         auto tmp12 = tmp10 - tmp11;
2023-01-11T21:01:51.7310705Z         auto tmp13 = tmp12 * tmp0;
2023-01-11T21:01:51.7310778Z         auto tmp14 = tmp13 / tmp0;
2023-01-11T21:01:51.7310856Z         auto tmp15 = tmp14 * tmp14;
2023-01-11T21:01:51.7310930Z         auto tmp16 = tmp15 * tmp15;
2023-01-11T21:01:51.7310996Z         auto tmp17 = tmp16 * tmp14;
2023-01-11T21:01:51.7311068Z         auto tmp18 = tmp17 * tmp17;
2023-01-11T21:01:51.7311141Z         auto tmp19 = tmp18.log();
2023-01-11T21:01:51.7311222Z         auto tmp20 = tmp19.floor();
2023-01-11T21:01:51.7311295Z         auto tmp21 = tmp20.ceil();
2023-01-11T21:01:51.7311367Z         auto tmp22 = tmp21.trunc();
2023-01-11T21:01:51.7311450Z         auto tmp23 = tmp22.lgamma();
2023-01-11T21:01:51.7311525Z         auto tmp24 = tmp23.fmod(tmp11);
2023-01-11T21:01:51.7311688Z         auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2023-01-11T21:01:51.7311851Z         auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2023-01-11T21:01:51.7311970Z         auto tmp27 = tmp25 - tmp26;
2023-01-11T21:01:51.7312044Z         auto tmp28 = tmp27 + tmp11;
2023-01-11T21:01:51.7312124Z         tmp28.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7312181Z     }
2023-01-11T21:01:51.7312258Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7312325Z     for(long i0=64; i0<70; i0+=1)
2023-01-11T21:01:51.7312377Z     {
2023-01-11T21:01:51.7312454Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7312527Z         auto tmp12 = in_ptr1[i0];
2023-01-11T21:01:51.7312605Z         auto tmp1 = std::abs(tmp0);
2023-01-11T21:01:51.7312686Z         auto tmp2 = std::sin(tmp1);
2023-01-11T21:01:51.7312781Z         auto tmp3 = -tmp2;
2023-01-11T21:01:51.7312937Z         auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.7313070Z         auto tmp5 = std::exp(-tmp4);
2023-01-11T21:01:51.7313144Z         auto tmp6 = 1 / (1 + tmp5);
2023-01-11T21:01:51.7313226Z         auto tmp7 = tmp6 * (tmp6>0);
2023-01-11T21:01:51.7313314Z         auto tmp8 = std::cos(tmp7);
2023-01-11T21:01:51.7313394Z         auto tmp9 = std::exp(tmp8);
2023-01-11T21:01:51.7313479Z         auto tmp10 = std::sqrt(tmp9);
2023-01-11T21:01:51.7313548Z         auto tmp11 = tmp10 + tmp0;
2023-01-11T21:01:51.7313669Z         auto tmp13 = tmp11 - tmp12;
2023-01-11T21:01:51.7313747Z         auto tmp14 = tmp13 * tmp0;
2023-01-11T21:01:51.7313826Z         auto tmp15 = tmp14 / tmp0;
2023-01-11T21:01:51.7313905Z         auto tmp16 = tmp15 * tmp15;
2023-01-11T21:01:51.7313984Z         auto tmp17 = tmp16 * tmp16;
2023-01-11T21:01:51.7314049Z         auto tmp18 = tmp17 * tmp15;
2023-01-11T21:01:51.7314125Z         auto tmp19 = tmp18 * tmp18;
2023-01-11T21:01:51.7314210Z         auto tmp20 = std::log(tmp19);
2023-01-11T21:01:51.7314331Z         auto tmp21 = std::floor(tmp20);
2023-01-11T21:01:51.7314417Z         auto tmp22 = std::ceil(tmp21);
2023-01-11T21:01:51.7314504Z         auto tmp23 = std::trunc(tmp22);
2023-01-11T21:01:51.7314594Z         auto tmp24 = std::lgamma(tmp23);
2023-01-11T21:01:51.7314738Z         auto tmp25 = std::fmod(tmp24, tmp12);
2023-01-11T21:01:51.7314810Z         auto tmp26 = tmp25 > 0 ? 1 : 0;
2023-01-11T21:01:51.7314891Z         auto tmp27 = tmp25 < 0 ? 1 : 0;
2023-01-11T21:01:51.7315008Z         auto tmp28 = tmp26 - tmp27;
2023-01-11T21:01:51.7315087Z         auto tmp29 = tmp28 + tmp12;
2023-01-11T21:01:51.7315164Z         out_ptr0[i0] = tmp29;
2023-01-11T21:01:51.7315222Z     }
2023-01-11T21:01:51.7315273Z }
2023-01-11T21:01:51.7315336Z ''')
2023-01-11T21:01:51.7315343Z 
2023-01-11T21:01:51.7315347Z 
2023-01-11T21:01:51.7315431Z async_compile.wait(globals())
2023-01-11T21:01:51.7315495Z del async_compile
2023-01-11T21:01:51.7315500Z 
2023-01-11T21:01:51.7315560Z def call(args):
2023-01-11T21:01:51.7315629Z     x1_1, x2_1 = args
2023-01-11T21:01:51.7315692Z     args.clear()
2023-01-11T21:01:51.7315888Z     buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7316033Z     kernel_cpp_0(c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7316091Z     del x1_1
2023-01-11T21:01:51.7316148Z     del x2_1
2023-01-11T21:01:51.7316210Z     return (buf0, )
2023-01-11T21:01:51.7316215Z 
2023-01-11T21:01:51.7316219Z 
2023-01-11T21:01:51.7316286Z if __name__ == "__main__":
2023-01-11T21:01:51.7316394Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7316509Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7316692Z     x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7316869Z     x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7316974Z     print_performance(lambda: call([x1_1, x2_1]))
2023-01-11T21:01:51.7316981Z 
2023-01-11T21:01:51.7317040Z ok (6.023s)
2023-01-11T21:01:51.7317469Z   test_abs_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7317588Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7317834Z [2023-01-11 20:51:24,089] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7
2023-01-11T21:01:51.7318092Z [2023-01-11 20:51:25,576] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7
2023-01-11T21:01:51.7318097Z 
2023-01-11T21:01:51.7318187Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7318256Z import torch
2023-01-11T21:01:51.7318311Z import random
2023-01-11T21:01:51.7318425Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7318545Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7318549Z 
2023-01-11T21:01:51.7318617Z aten = torch.ops.aten
2023-01-11T21:01:51.7318746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7318830Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7318835Z 
2023-01-11T21:01:51.7318838Z 
2023-01-11T21:01:51.7318960Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7319161Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7319267Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7319362Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7319418Z {
2023-01-11T21:01:51.7319490Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7319543Z     {
2023-01-11T21:01:51.7319669Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7319775Z         auto tmp1 = tmp0.abs();
2023-01-11T21:01:51.7319889Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7319964Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.7320064Z         auto tmp4 = tmp0 / tmp3;
2023-01-11T21:01:51.7320145Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7320204Z     }
2023-01-11T21:01:51.7320282Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7320354Z     for(long i0=16; i0<17; i0+=1)
2023-01-11T21:01:51.7320402Z     {
2023-01-11T21:01:51.7320478Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7320558Z         auto tmp1 = std::abs(tmp0);
2023-01-11T21:01:51.7320650Z         auto tmp2 = static_cast<float>(1);
2023-01-11T21:01:51.7320723Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.7320798Z         auto tmp4 = tmp0 / tmp3;
2023-01-11T21:01:51.7320867Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.7320914Z     }
2023-01-11T21:01:51.7320965Z }
2023-01-11T21:01:51.7321042Z ''')
2023-01-11T21:01:51.7321047Z 
2023-01-11T21:01:51.7321051Z 
2023-01-11T21:01:51.7321129Z async_compile.wait(globals())
2023-01-11T21:01:51.7321192Z del async_compile
2023-01-11T21:01:51.7321198Z 
2023-01-11T21:01:51.7321262Z def call(args):
2023-01-11T21:01:51.7321325Z     arg0_1, = args
2023-01-11T21:01:51.7321382Z     args.clear()
2023-01-11T21:01:51.7321568Z     buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7321696Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7321755Z     del arg0_1
2023-01-11T21:01:51.7321823Z     return (buf0, )
2023-01-11T21:01:51.7321828Z 
2023-01-11T21:01:51.7321833Z 
2023-01-11T21:01:51.7321900Z if __name__ == "__main__":
2023-01-11T21:01:51.7322009Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7322130Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7322310Z     arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7322416Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7322421Z 
2023-01-11T21:01:51.7322485Z ok (1.513s)
2023-01-11T21:01:51.7322933Z   test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7323057Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7323306Z [2023-01-11 20:51:25,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8
2023-01-11T21:01:51.7323749Z [2023-01-11 20:51:25,620] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2023-01-11T21:01:51.7323755Z 
2023-01-11T21:01:51.7323845Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7323917Z import torch
2023-01-11T21:01:51.7323975Z import random
2023-01-11T21:01:51.7324088Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7324206Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7324214Z 
2023-01-11T21:01:51.7324287Z aten = torch.ops.aten
2023-01-11T21:01:51.7324419Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7324511Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7324516Z 
2023-01-11T21:01:51.7324520Z 
2023-01-11T21:01:51.7324651Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7324852Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7324957Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7325053Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7325149Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7325207Z {
2023-01-11T21:01:51.7325338Z     #pragma GCC ivdep
2023-01-11T21:01:51.7325417Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7325475Z     {
2023-01-11T21:01:51.7325538Z         #pragma GCC ivdep
2023-01-11T21:01:51.7325617Z         for(long i1=0; i1<6; i1+=1)
2023-01-11T21:01:51.7325717Z         {
2023-01-11T21:01:51.7325793Z             #pragma GCC ivdep
2023-01-11T21:01:51.7325870Z             for(long i2=0; i2<6; i2+=1)
2023-01-11T21:01:51.7325929Z             {
2023-01-11T21:01:51.7325990Z                 {
2023-01-11T21:01:51.7326043Z                     {
2023-01-11T21:01:51.7326150Z                         auto tmp0 = static_cast<long>(((8*i1) / 3));
2023-01-11T21:01:51.7326257Z                         auto tmp1 = static_cast<long>(((21 + (16*i1)) / 6));
2023-01-11T21:01:51.7326343Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.7326445Z                         auto tmp3 = static_cast<long>(((8*i2) / 3));
2023-01-11T21:01:51.7326549Z                         auto tmp4 = static_cast<long>(((21 + (16*i2)) / 6));
2023-01-11T21:01:51.7326638Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:51.7326715Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:51.7326797Z                         float tmp7 = 0.0;
2023-01-11T21:01:51.7326870Z                         if(tmp6)
2023-01-11T21:01:51.7326937Z                         {
2023-01-11T21:01:51.7327055Z                             auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7327132Z                             tmp7 = tmp8;
2023-01-11T21:01:51.7327194Z                         }
2023-01-11T21:01:51.7327295Z                         auto tmp9 = static_cast<long>(1 + (((8*i2) / 3)));
2023-01-11T21:01:51.7327384Z                         auto tmp10 = tmp9 < tmp4;
2023-01-11T21:01:51.7327474Z                         auto tmp11 = tmp2 & tmp10;
2023-01-11T21:01:51.7327552Z                         float tmp12 = 0.0;
2023-01-11T21:01:51.7327620Z                         if(tmp11)
2023-01-11T21:01:51.7327683Z                         {
2023-01-11T21:01:51.7327799Z                             auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7327876Z                             tmp12 = tmp13;
2023-01-11T21:01:51.7327934Z                         }
2023-01-11T21:01:51.7328021Z                         auto tmp14 = tmp12 + tmp7;
2023-01-11T21:01:51.7328128Z                         auto tmp15 = static_cast<long>(2 + (((8*i2) / 3)));
2023-01-11T21:01:51.7328212Z                         auto tmp16 = tmp15 < tmp4;
2023-01-11T21:01:51.7328295Z                         auto tmp17 = tmp2 & tmp16;
2023-01-11T21:01:51.7328371Z                         float tmp18 = 0.0;
2023-01-11T21:01:51.7328437Z                         if(tmp17)
2023-01-11T21:01:51.7328491Z                         {
2023-01-11T21:01:51.7328606Z                             auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7328681Z                             tmp18 = tmp19;
2023-01-11T21:01:51.7328743Z                         }
2023-01-11T21:01:51.7328830Z                         auto tmp20 = tmp18 + tmp14;
2023-01-11T21:01:51.7328935Z                         auto tmp21 = static_cast<long>(3 + (((8*i2) / 3)));
2023-01-11T21:01:51.7329020Z                         auto tmp22 = tmp21 < tmp4;
2023-01-11T21:01:51.7329096Z                         auto tmp23 = tmp2 & tmp22;
2023-01-11T21:01:51.7329171Z                         float tmp24 = 0.0;
2023-01-11T21:01:51.7329239Z                         if(tmp23)
2023-01-11T21:01:51.7329297Z                         {
2023-01-11T21:01:51.7329410Z                             auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7329484Z                             tmp24 = tmp25;
2023-01-11T21:01:51.7329548Z                         }
2023-01-11T21:01:51.7329635Z                         auto tmp26 = tmp24 + tmp20;
2023-01-11T21:01:51.7329736Z                         auto tmp27 = static_cast<long>(1 + (((8*i1) / 3)));
2023-01-11T21:01:51.7329850Z                         auto tmp28 = tmp27 < tmp1;
2023-01-11T21:01:51.7329934Z                         auto tmp29 = tmp28 & tmp5;
2023-01-11T21:01:51.7330008Z                         float tmp30 = 0.0;
2023-01-11T21:01:51.7330106Z                         if(tmp29)
2023-01-11T21:01:51.7330173Z                         {
2023-01-11T21:01:51.7330292Z                             auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7330361Z                             tmp30 = tmp31;
2023-01-11T21:01:51.7330425Z                         }
2023-01-11T21:01:51.7330517Z                         auto tmp32 = tmp30 + tmp26;
2023-01-11T21:01:51.7330609Z                         auto tmp33 = tmp28 & tmp10;
2023-01-11T21:01:51.7330689Z                         float tmp34 = 0.0;
2023-01-11T21:01:51.7330763Z                         if(tmp33)
2023-01-11T21:01:51.7330830Z                         {
2023-01-11T21:01:51.7330941Z                             auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7331020Z                             tmp34 = tmp35;
2023-01-11T21:01:51.7331085Z                         }
2023-01-11T21:01:51.7331179Z                         auto tmp36 = tmp34 + tmp32;
2023-01-11T21:01:51.7331269Z                         auto tmp37 = tmp28 & tmp16;
2023-01-11T21:01:51.7331351Z                         float tmp38 = 0.0;
2023-01-11T21:01:51.7331424Z                         if(tmp37)
2023-01-11T21:01:51.7331477Z                         {
2023-01-11T21:01:51.7331595Z                             auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7331678Z                             tmp38 = tmp39;
2023-01-11T21:01:51.7331742Z                         }
2023-01-11T21:01:51.7331828Z                         auto tmp40 = tmp38 + tmp36;
2023-01-11T21:01:51.7331911Z                         auto tmp41 = tmp28 & tmp22;
2023-01-11T21:01:51.7331991Z                         float tmp42 = 0.0;
2023-01-11T21:01:51.7332053Z                         if(tmp41)
2023-01-11T21:01:51.7332113Z                         {
2023-01-11T21:01:51.7332225Z                             auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7332297Z                             tmp42 = tmp43;
2023-01-11T21:01:51.7332357Z                         }
2023-01-11T21:01:51.7332445Z                         auto tmp44 = tmp42 + tmp40;
2023-01-11T21:01:51.7332551Z                         auto tmp45 = static_cast<long>(2 + (((8*i1) / 3)));
2023-01-11T21:01:51.7332635Z                         auto tmp46 = tmp45 < tmp1;
2023-01-11T21:01:51.7332713Z                         auto tmp47 = tmp46 & tmp5;
2023-01-11T21:01:51.7332788Z                         float tmp48 = 0.0;
2023-01-11T21:01:51.7332860Z                         if(tmp47)
2023-01-11T21:01:51.7332918Z                         {
2023-01-11T21:01:51.7333032Z                             auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7333110Z                             tmp48 = tmp49;
2023-01-11T21:01:51.7333171Z                         }
2023-01-11T21:01:51.7333252Z                         auto tmp50 = tmp48 + tmp44;
2023-01-11T21:01:51.7333334Z                         auto tmp51 = tmp46 & tmp10;
2023-01-11T21:01:51.7333412Z                         float tmp52 = 0.0;
2023-01-11T21:01:51.7333481Z                         if(tmp51)
2023-01-11T21:01:51.7333544Z                         {
2023-01-11T21:01:51.7333654Z                             auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7333726Z                             tmp52 = tmp53;
2023-01-11T21:01:51.7333779Z                         }
2023-01-11T21:01:51.7333862Z                         auto tmp54 = tmp52 + tmp50;
2023-01-11T21:01:51.7333943Z                         auto tmp55 = tmp46 & tmp16;
2023-01-11T21:01:51.7334018Z                         float tmp56 = 0.0;
2023-01-11T21:01:51.7334126Z                         if(tmp55)
2023-01-11T21:01:51.7334185Z                         {
2023-01-11T21:01:51.7334325Z                             auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7334394Z                             tmp56 = tmp57;
2023-01-11T21:01:51.7334454Z                         }
2023-01-11T21:01:51.7334544Z                         auto tmp58 = tmp56 + tmp54;
2023-01-11T21:01:51.7334628Z                         auto tmp59 = tmp46 & tmp22;
2023-01-11T21:01:51.7334702Z                         float tmp60 = 0.0;
2023-01-11T21:01:51.7334767Z                         if(tmp59)
2023-01-11T21:01:51.7334826Z                         {
2023-01-11T21:01:51.7334942Z                             auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7335009Z                             tmp60 = tmp61;
2023-01-11T21:01:51.7335072Z                         }
2023-01-11T21:01:51.7335166Z                         auto tmp62 = tmp60 + tmp58;
2023-01-11T21:01:51.7335278Z                         auto tmp63 = static_cast<long>(3 + (((8*i1) / 3)));
2023-01-11T21:01:51.7335368Z                         auto tmp64 = tmp63 < tmp1;
2023-01-11T21:01:51.7335459Z                         auto tmp65 = tmp64 & tmp5;
2023-01-11T21:01:51.7335540Z                         float tmp66 = 0.0;
2023-01-11T21:01:51.7335602Z                         if(tmp65)
2023-01-11T21:01:51.7335667Z                         {
2023-01-11T21:01:51.7335786Z                             auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7335863Z                             tmp66 = tmp67;
2023-01-11T21:01:51.7335931Z                         }
2023-01-11T21:01:51.7336021Z                         auto tmp68 = tmp66 + tmp62;
2023-01-11T21:01:51.7336110Z                         auto tmp69 = tmp64 & tmp10;
2023-01-11T21:01:51.7336180Z                         float tmp70 = 0.0;
2023-01-11T21:01:51.7336255Z                         if(tmp69)
2023-01-11T21:01:51.7336319Z                         {
2023-01-11T21:01:51.7336434Z                             auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7336515Z                             tmp70 = tmp71;
2023-01-11T21:01:51.7336582Z                         }
2023-01-11T21:01:51.7336672Z                         auto tmp72 = tmp70 + tmp68;
2023-01-11T21:01:51.7336749Z                         auto tmp73 = tmp64 & tmp16;
2023-01-11T21:01:51.7336829Z                         float tmp74 = 0.0;
2023-01-11T21:01:51.7336897Z                         if(tmp73)
2023-01-11T21:01:51.7336960Z                         {
2023-01-11T21:01:51.7337073Z                             auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7337146Z                             tmp74 = tmp75;
2023-01-11T21:01:51.7337208Z                         }
2023-01-11T21:01:51.7337295Z                         auto tmp76 = tmp74 + tmp72;
2023-01-11T21:01:51.7337373Z                         auto tmp77 = tmp64 & tmp22;
2023-01-11T21:01:51.7337452Z                         float tmp78 = 0.0;
2023-01-11T21:01:51.7337520Z                         if(tmp77)
2023-01-11T21:01:51.7337581Z                         {
2023-01-11T21:01:51.7337698Z                             auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2023-01-11T21:01:51.7337772Z                             tmp78 = tmp79;
2023-01-11T21:01:51.7337836Z                         }
2023-01-11T21:01:51.7337915Z                         auto tmp80 = tmp78 + tmp76;
2023-01-11T21:01:51.7337992Z                         float tmp81 = 0.0;
2023-01-11T21:01:51.7338058Z                         if(tmp6)
2023-01-11T21:01:51.7338120Z                         {
2023-01-11T21:01:51.7338219Z                             auto tmp82 = static_cast<float>(1);
2023-01-11T21:01:51.7338292Z                             tmp81 = tmp82;
2023-01-11T21:01:51.7338384Z                         }
2023-01-11T21:01:51.7338455Z                         float tmp83 = 0.0;
2023-01-11T21:01:51.7338519Z                         if(tmp11)
2023-01-11T21:01:51.7338582Z                         {
2023-01-11T21:01:51.7338709Z                             auto tmp84 = static_cast<float>(1);
2023-01-11T21:01:51.7338782Z                             tmp83 = tmp84;
2023-01-11T21:01:51.7338845Z                         }
2023-01-11T21:01:51.7338931Z                         auto tmp85 = tmp83 + tmp81;
2023-01-11T21:01:51.7339000Z                         float tmp86 = 0.0;
2023-01-11T21:01:51.7339069Z                         if(tmp17)
2023-01-11T21:01:51.7339129Z                         {
2023-01-11T21:01:51.7339229Z                             auto tmp87 = static_cast<float>(1);
2023-01-11T21:01:51.7339306Z                             tmp86 = tmp87;
2023-01-11T21:01:51.7339369Z                         }
2023-01-11T21:01:51.7339454Z                         auto tmp88 = tmp86 + tmp85;
2023-01-11T21:01:51.7339529Z                         float tmp89 = 0.0;
2023-01-11T21:01:51.7339596Z                         if(tmp23)
2023-01-11T21:01:51.7339654Z                         {
2023-01-11T21:01:51.7339759Z                             auto tmp90 = static_cast<float>(1);
2023-01-11T21:01:51.7339832Z                             tmp89 = tmp90;
2023-01-11T21:01:51.7339891Z                         }
2023-01-11T21:01:51.7339978Z                         auto tmp91 = tmp89 + tmp88;
2023-01-11T21:01:51.7340047Z                         float tmp92 = 0.0;
2023-01-11T21:01:51.7340115Z                         if(tmp29)
2023-01-11T21:01:51.7340179Z                         {
2023-01-11T21:01:51.7340276Z                             auto tmp93 = static_cast<float>(1);
2023-01-11T21:01:51.7340347Z                             tmp92 = tmp93;
2023-01-11T21:01:51.7340410Z                         }
2023-01-11T21:01:51.7340495Z                         auto tmp94 = tmp92 + tmp91;
2023-01-11T21:01:51.7340565Z                         float tmp95 = 0.0;
2023-01-11T21:01:51.7340633Z                         if(tmp33)
2023-01-11T21:01:51.7340698Z                         {
2023-01-11T21:01:51.7340794Z                             auto tmp96 = static_cast<float>(1);
2023-01-11T21:01:51.7340872Z                             tmp95 = tmp96;
2023-01-11T21:01:51.7340932Z                         }
2023-01-11T21:01:51.7341016Z                         auto tmp97 = tmp95 + tmp94;
2023-01-11T21:01:51.7341085Z                         float tmp98 = 0.0;
2023-01-11T21:01:51.7341155Z                         if(tmp37)
2023-01-11T21:01:51.7341215Z                         {
2023-01-11T21:01:51.7341311Z                             auto tmp99 = static_cast<float>(1);
2023-01-11T21:01:51.7341388Z                             tmp98 = tmp99;
2023-01-11T21:01:51.7341452Z                         }
2023-01-11T21:01:51.7341544Z                         auto tmp100 = tmp98 + tmp97;
2023-01-11T21:01:51.7341619Z                         float tmp101 = 0.0;
2023-01-11T21:01:51.7341691Z                         if(tmp41)
2023-01-11T21:01:51.7341755Z                         {
2023-01-11T21:01:51.7341853Z                             auto tmp102 = static_cast<float>(1);
2023-01-11T21:01:51.7341932Z                             tmp101 = tmp102;
2023-01-11T21:01:51.7341996Z                         }
2023-01-11T21:01:51.7342085Z                         auto tmp103 = tmp101 + tmp100;
2023-01-11T21:01:51.7342158Z                         float tmp104 = 0.0;
2023-01-11T21:01:51.7342230Z                         if(tmp47)
2023-01-11T21:01:51.7342288Z                         {
2023-01-11T21:01:51.7342390Z                             auto tmp105 = static_cast<float>(1);
2023-01-11T21:01:51.7342466Z                             tmp104 = tmp105;
2023-01-11T21:01:51.7342527Z                         }
2023-01-11T21:01:51.7342617Z                         auto tmp106 = tmp104 + tmp103;
2023-01-11T21:01:51.7342691Z                         float tmp107 = 0.0;
2023-01-11T21:01:51.7342759Z                         if(tmp51)
2023-01-11T21:01:51.7342845Z                         {
2023-01-11T21:01:51.7342947Z                             auto tmp108 = static_cast<float>(1);
2023-01-11T21:01:51.7343024Z                             tmp107 = tmp108;
2023-01-11T21:01:51.7343112Z                         }
2023-01-11T21:01:51.7343200Z                         auto tmp109 = tmp107 + tmp106;
2023-01-11T21:01:51.7343273Z                         float tmp110 = 0.0;
2023-01-11T21:01:51.7343344Z                         if(tmp55)
2023-01-11T21:01:51.7343403Z                         {
2023-01-11T21:01:51.7343502Z                             auto tmp111 = static_cast<float>(1);
2023-01-11T21:01:51.7343579Z                             tmp110 = tmp111;
2023-01-11T21:01:51.7343639Z                         }
2023-01-11T21:01:51.7343726Z                         auto tmp112 = tmp110 + tmp109;
2023-01-11T21:01:51.7343799Z                         float tmp113 = 0.0;
2023-01-11T21:01:51.7343866Z                         if(tmp59)
2023-01-11T21:01:51.7343928Z                         {
2023-01-11T21:01:51.7344026Z                             auto tmp114 = static_cast<float>(1);
2023-01-11T21:01:51.7344102Z                             tmp113 = tmp114;
2023-01-11T21:01:51.7344161Z                         }
2023-01-11T21:01:51.7344249Z                         auto tmp115 = tmp113 + tmp112;
2023-01-11T21:01:51.7344320Z                         float tmp116 = 0.0;
2023-01-11T21:01:51.7344387Z                         if(tmp65)
2023-01-11T21:01:51.7344447Z                         {
2023-01-11T21:01:51.7344545Z                             auto tmp117 = static_cast<float>(1);
2023-01-11T21:01:51.7344624Z                             tmp116 = tmp117;
2023-01-11T21:01:51.7344684Z                         }
2023-01-11T21:01:51.7344771Z                         auto tmp118 = tmp116 + tmp115;
2023-01-11T21:01:51.7344843Z                         float tmp119 = 0.0;
2023-01-11T21:01:51.7344911Z                         if(tmp69)
2023-01-11T21:01:51.7344973Z                         {
2023-01-11T21:01:51.7345073Z                             auto tmp120 = static_cast<float>(1);
2023-01-11T21:01:51.7345146Z                             tmp119 = tmp120;
2023-01-11T21:01:51.7345208Z                         }
2023-01-11T21:01:51.7345296Z                         auto tmp121 = tmp119 + tmp118;
2023-01-11T21:01:51.7345368Z                         float tmp122 = 0.0;
2023-01-11T21:01:51.7345438Z                         if(tmp73)
2023-01-11T21:01:51.7345496Z                         {
2023-01-11T21:01:51.7345593Z                             auto tmp123 = static_cast<float>(1);
2023-01-11T21:01:51.7345674Z                             tmp122 = tmp123;
2023-01-11T21:01:51.7345732Z                         }
2023-01-11T21:01:51.7345822Z                         auto tmp124 = tmp122 + tmp121;
2023-01-11T21:01:51.7345900Z                         float tmp125 = 0.0;
2023-01-11T21:01:51.7345961Z                         if(tmp77)
2023-01-11T21:01:51.7346023Z                         {
2023-01-11T21:01:51.7346123Z                             auto tmp126 = static_cast<float>(1);
2023-01-11T21:01:51.7346198Z                             tmp125 = tmp126;
2023-01-11T21:01:51.7346260Z                         }
2023-01-11T21:01:51.7346353Z                         auto tmp127 = tmp125 + tmp124;
2023-01-11T21:01:51.7346441Z                         auto tmp128 = tmp80 / tmp127;
2023-01-11T21:01:51.7346528Z                         out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128;
2023-01-11T21:01:51.7346585Z                     }
2023-01-11T21:01:51.7346646Z                 }
2023-01-11T21:01:51.7346701Z             }
2023-01-11T21:01:51.7346760Z         }
2023-01-11T21:01:51.7346813Z     }
2023-01-11T21:01:51.7346880Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.7346939Z     {
2023-01-11T21:01:51.7347067Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7347195Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7347298Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7347379Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7347434Z     }
2023-01-11T21:01:51.7347516Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7347585Z     for(long i0=2048; i0<2048; i0+=1)
2023-01-11T21:01:51.7347675Z     {
2023-01-11T21:01:51.7347748Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7347839Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7347912Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7347980Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.7348027Z     }
2023-01-11T21:01:51.7348081Z }
2023-01-11T21:01:51.7348161Z ''')
2023-01-11T21:01:51.7348167Z 
2023-01-11T21:01:51.7348171Z 
2023-01-11T21:01:51.7348250Z async_compile.wait(globals())
2023-01-11T21:01:51.7348316Z del async_compile
2023-01-11T21:01:51.7348322Z 
2023-01-11T21:01:51.7348383Z def call(args):
2023-01-11T21:01:51.7348444Z     arg0_1, = args
2023-01-11T21:01:51.7348509Z     args.clear()
2023-01-11T21:01:51.7348713Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7348923Z     buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7349084Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7349148Z     del arg0_1
2023-01-11T21:01:51.7349255Z     buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5])
2023-01-11T21:01:51.7349318Z     del buf1
2023-01-11T21:01:51.7349378Z     buf3 = buf2
2023-01-11T21:01:51.7349470Z     assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1))
2023-01-11T21:01:51.7349532Z     del buf2
2023-01-11T21:01:51.7349605Z     return (buf0, buf3, )
2023-01-11T21:01:51.7349610Z 
2023-01-11T21:01:51.7349615Z 
2023-01-11T21:01:51.7349683Z if __name__ == "__main__":
2023-01-11T21:01:51.7349792Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7349907Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7350119Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7350218Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7350469Z [2023-01-11 20:51:27,689] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8
2023-01-11T21:01:51.7350864Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7350989Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7351235Z [2023-01-11 20:51:27,723] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9
2023-01-11T21:01:51.7351240Z 
2023-01-11T21:01:51.7351245Z 
2023-01-11T21:01:51.7351331Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7351398Z import torch
2023-01-11T21:01:51.7351459Z import random
2023-01-11T21:01:51.7351564Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7351683Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7351688Z 
2023-01-11T21:01:51.7351754Z aten = torch.ops.aten
2023-01-11T21:01:51.7351881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7351964Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7351969Z 
2023-01-11T21:01:51.7351974Z 
2023-01-11T21:01:51.7352097Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7352299Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7352409Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7352503Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7352594Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7352671Z {
2023-01-11T21:01:51.7352744Z     #pragma GCC ivdep
2023-01-11T21:01:51.7352817Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7352958Z     {
2023-01-11T21:01:51.7353032Z         #pragma GCC ivdep
2023-01-11T21:01:51.7353136Z         for(long i1=0; i1<6; i1+=1)
2023-01-11T21:01:51.7353186Z         {
2023-01-11T21:01:51.7353259Z             #pragma GCC ivdep
2023-01-11T21:01:51.7353332Z             for(long i2=0; i2<6; i2+=1)
2023-01-11T21:01:51.7353391Z             {
2023-01-11T21:01:51.7353446Z                 {
2023-01-11T21:01:51.7353504Z                     {
2023-01-11T21:01:51.7353606Z                         auto tmp0 = static_cast<long>((i1 / 2));
2023-01-11T21:01:51.7353708Z                         auto tmp1 = static_cast<long>(((8 + (3*i1)) / 6));
2023-01-11T21:01:51.7353798Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.7353899Z                         auto tmp3 = static_cast<long>((i2 / 2));
2023-01-11T21:01:51.7354004Z                         auto tmp4 = static_cast<long>(((8 + (3*i2)) / 6));
2023-01-11T21:01:51.7354089Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:51.7354173Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:51.7354254Z                         float tmp7 = 0.0;
2023-01-11T21:01:51.7354323Z                         if(tmp6)
2023-01-11T21:01:51.7354378Z                         {
2023-01-11T21:01:51.7354486Z                             auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2023-01-11T21:01:51.7354560Z                             tmp7 = tmp8;
2023-01-11T21:01:51.7354625Z                         }
2023-01-11T21:01:51.7354729Z                         auto tmp9 = static_cast<long>(1 + (i2 / 2));
2023-01-11T21:01:51.7354818Z                         auto tmp10 = tmp9 < tmp4;
2023-01-11T21:01:51.7354906Z                         auto tmp11 = tmp2 & tmp10;
2023-01-11T21:01:51.7354978Z                         float tmp12 = 0.0;
2023-01-11T21:01:51.7355046Z                         if(tmp11)
2023-01-11T21:01:51.7355114Z                         {
2023-01-11T21:01:51.7355223Z                             auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2023-01-11T21:01:51.7355303Z                             tmp12 = tmp13;
2023-01-11T21:01:51.7355366Z                         }
2023-01-11T21:01:51.7355457Z                         auto tmp14 = tmp12 + tmp7;
2023-01-11T21:01:51.7355554Z                         auto tmp15 = static_cast<long>(1 + (i1 / 2));
2023-01-11T21:01:51.7355639Z                         auto tmp16 = tmp15 < tmp1;
2023-01-11T21:01:51.7355725Z                         auto tmp17 = tmp16 & tmp5;
2023-01-11T21:01:51.7355802Z                         float tmp18 = 0.0;
2023-01-11T21:01:51.7355869Z                         if(tmp17)
2023-01-11T21:01:51.7355932Z                         {
2023-01-11T21:01:51.7356043Z                             auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2023-01-11T21:01:51.7356113Z                             tmp18 = tmp19;
2023-01-11T21:01:51.7356174Z                         }
2023-01-11T21:01:51.7356262Z                         auto tmp20 = tmp18 + tmp14;
2023-01-11T21:01:51.7356346Z                         auto tmp21 = tmp16 & tmp10;
2023-01-11T21:01:51.7356425Z                         float tmp22 = 0.0;
2023-01-11T21:01:51.7356495Z                         if(tmp21)
2023-01-11T21:01:51.7356555Z                         {
2023-01-11T21:01:51.7356656Z                             auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2023-01-11T21:01:51.7356729Z                             tmp22 = tmp23;
2023-01-11T21:01:51.7356790Z                         }
2023-01-11T21:01:51.7356880Z                         auto tmp24 = tmp22 + tmp20;
2023-01-11T21:01:51.7356957Z                         float tmp25 = 0.0;
2023-01-11T21:01:51.7357027Z                         if(tmp6)
2023-01-11T21:01:51.7357087Z                         {
2023-01-11T21:01:51.7357181Z                             auto tmp26 = static_cast<float>(1);
2023-01-11T21:01:51.7357285Z                             tmp25 = tmp26;
2023-01-11T21:01:51.7357348Z                         }
2023-01-11T21:01:51.7357424Z                         float tmp27 = 0.0;
2023-01-11T21:01:51.7357491Z                         if(tmp11)
2023-01-11T21:01:51.7357580Z                         {
2023-01-11T21:01:51.7357680Z                             auto tmp28 = static_cast<float>(1);
2023-01-11T21:01:51.7357757Z                             tmp27 = tmp28;
2023-01-11T21:01:51.7357812Z                         }
2023-01-11T21:01:51.7357898Z                         auto tmp29 = tmp27 + tmp25;
2023-01-11T21:01:51.7357972Z                         float tmp30 = 0.0;
2023-01-11T21:01:51.7358043Z                         if(tmp17)
2023-01-11T21:01:51.7358102Z                         {
2023-01-11T21:01:51.7358204Z                             auto tmp31 = static_cast<float>(1);
2023-01-11T21:01:51.7358277Z                             tmp30 = tmp31;
2023-01-11T21:01:51.7358331Z                         }
2023-01-11T21:01:51.7358422Z                         auto tmp32 = tmp30 + tmp29;
2023-01-11T21:01:51.7358497Z                         float tmp33 = 0.0;
2023-01-11T21:01:51.7358567Z                         if(tmp21)
2023-01-11T21:01:51.7358629Z                         {
2023-01-11T21:01:51.7358728Z                             auto tmp34 = static_cast<float>(1);
2023-01-11T21:01:51.7358800Z                             tmp33 = tmp34;
2023-01-11T21:01:51.7358853Z                         }
2023-01-11T21:01:51.7358943Z                         auto tmp35 = tmp33 + tmp32;
2023-01-11T21:01:51.7359026Z                         auto tmp36 = tmp24 / tmp35;
2023-01-11T21:01:51.7359123Z                         out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36;
2023-01-11T21:01:51.7359184Z                     }
2023-01-11T21:01:51.7359239Z                 }
2023-01-11T21:01:51.7359298Z             }
2023-01-11T21:01:51.7359348Z         }
2023-01-11T21:01:51.7359405Z     }
2023-01-11T21:01:51.7359478Z     #pragma GCC ivdep
2023-01-11T21:01:51.7359557Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7359616Z     {
2023-01-11T21:01:51.7359690Z         #pragma GCC ivdep
2023-01-11T21:01:51.7359758Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.7359813Z         {
2023-01-11T21:01:51.7359887Z             #pragma GCC ivdep
2023-01-11T21:01:51.7359961Z             for(long i2=0; i2<5; i2+=1)
2023-01-11T21:01:51.7360016Z             {
2023-01-11T21:01:51.7360074Z                 {
2023-01-11T21:01:51.7360133Z                     {
2023-01-11T21:01:51.7360234Z                         auto tmp0 = static_cast<long>(((3*i1) / 2));
2023-01-11T21:01:51.7360340Z                         auto tmp1 = static_cast<long>(2 + (((3*i1) / 2)));
2023-01-11T21:01:51.7360429Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.7360539Z                         auto tmp3 = static_cast<long>(((3*i2) / 5));
2023-01-11T21:01:51.7360644Z                         auto tmp4 = static_cast<long>(((7 + (3*i2)) / 5));
2023-01-11T21:01:51.7360732Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:51.7360817Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:51.7360888Z                         float tmp7 = 0.0;
2023-01-11T21:01:51.7360955Z                         if(tmp6)
2023-01-11T21:01:51.7361015Z                         {
2023-01-11T21:01:51.7361127Z                             auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2023-01-11T21:01:51.7361228Z                             auto tmp9 = static_cast<float>(1);
2023-01-11T21:01:51.7361317Z                             auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.7361394Z                             tmp7 = tmp10;
2023-01-11T21:01:51.7361454Z                         }
2023-01-11T21:01:51.7361557Z                         auto tmp11 = static_cast<long>(1 + (((3*i2) / 5)));
2023-01-11T21:01:51.7361648Z                         auto tmp12 = tmp11 < tmp4;
2023-01-11T21:01:51.7361731Z                         auto tmp13 = tmp2 & tmp12;
2023-01-11T21:01:51.7361811Z                         float tmp14 = 0.0;
2023-01-11T21:01:51.7361906Z                         if(tmp13)
2023-01-11T21:01:51.7361965Z                         {
2023-01-11T21:01:51.7362105Z                             auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2023-01-11T21:01:51.7362201Z                             auto tmp16 = static_cast<float>(1);
2023-01-11T21:01:51.7362290Z                             auto tmp17 = tmp15 + tmp16;
2023-01-11T21:01:51.7362369Z                             tmp14 = tmp17;
2023-01-11T21:01:51.7362434Z                         }
2023-01-11T21:01:51.7362524Z                         auto tmp18 = tmp14 + tmp7;
2023-01-11T21:01:51.7362635Z                         auto tmp19 = static_cast<long>(1 + (((3*i1) / 2)));
2023-01-11T21:01:51.7362720Z                         auto tmp20 = tmp19 < tmp1;
2023-01-11T21:01:51.7362798Z                         auto tmp21 = tmp20 & tmp5;
2023-01-11T21:01:51.7362874Z                         float tmp22 = 0.0;
2023-01-11T21:01:51.7362943Z                         if(tmp21)
2023-01-11T21:01:51.7363006Z                         {
2023-01-11T21:01:51.7363118Z                             auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2023-01-11T21:01:51.7363220Z                             auto tmp24 = static_cast<float>(1);
2023-01-11T21:01:51.7363309Z                             auto tmp25 = tmp23 + tmp24;
2023-01-11T21:01:51.7363524Z                             tmp22 = tmp25;
2023-01-11T21:01:51.7363589Z                         }
2023-01-11T21:01:51.7363681Z                         auto tmp26 = tmp22 + tmp18;
2023-01-11T21:01:51.7363766Z                         auto tmp27 = tmp20 & tmp12;
2023-01-11T21:01:51.7363842Z                         float tmp28 = 0.0;
2023-01-11T21:01:51.7363909Z                         if(tmp27)
2023-01-11T21:01:51.7363972Z                         {
2023-01-11T21:01:51.7364084Z                             auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2023-01-11T21:01:51.7364180Z                             auto tmp30 = static_cast<float>(1);
2023-01-11T21:01:51.7364270Z                             auto tmp31 = tmp29 + tmp30;
2023-01-11T21:01:51.7364350Z                             tmp28 = tmp31;
2023-01-11T21:01:51.7364410Z                         }
2023-01-11T21:01:51.7364500Z                         auto tmp32 = tmp28 + tmp26;
2023-01-11T21:01:51.7364577Z                         float tmp33 = 0.0;
2023-01-11T21:01:51.7364647Z                         if(tmp6)
2023-01-11T21:01:51.7364701Z                         {
2023-01-11T21:01:51.7364798Z                             auto tmp34 = static_cast<float>(1);
2023-01-11T21:01:51.7364872Z                             tmp33 = tmp34;
2023-01-11T21:01:51.7364937Z                         }
2023-01-11T21:01:51.7365013Z                         float tmp35 = 0.0;
2023-01-11T21:01:51.7365084Z                         if(tmp13)
2023-01-11T21:01:51.7365145Z                         {
2023-01-11T21:01:51.7365238Z                             auto tmp36 = static_cast<float>(1);
2023-01-11T21:01:51.7365313Z                             tmp35 = tmp36;
2023-01-11T21:01:51.7365376Z                         }
2023-01-11T21:01:51.7365461Z                         auto tmp37 = tmp35 + tmp33;
2023-01-11T21:01:51.7365537Z                         float tmp38 = 0.0;
2023-01-11T21:01:51.7365607Z                         if(tmp21)
2023-01-11T21:01:51.7365666Z                         {
2023-01-11T21:01:51.7365760Z                             auto tmp39 = static_cast<float>(1);
2023-01-11T21:01:51.7365835Z                             tmp38 = tmp39;
2023-01-11T21:01:51.7365894Z                         }
2023-01-11T21:01:51.7365982Z                         auto tmp40 = tmp38 + tmp37;
2023-01-11T21:01:51.7366061Z                         float tmp41 = 0.0;
2023-01-11T21:01:51.7366128Z                         if(tmp27)
2023-01-11T21:01:51.7366185Z                         {
2023-01-11T21:01:51.7366277Z                             auto tmp42 = static_cast<float>(1);
2023-01-11T21:01:51.7366409Z                             tmp41 = tmp42;
2023-01-11T21:01:51.7366468Z                         }
2023-01-11T21:01:51.7366556Z                         auto tmp43 = tmp41 + tmp40;
2023-01-11T21:01:51.7366712Z                         auto tmp44 = tmp32 / tmp43;
2023-01-11T21:01:51.7366815Z                         out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44;
2023-01-11T21:01:51.7366877Z                     }
2023-01-11T21:01:51.7366928Z                 }
2023-01-11T21:01:51.7366989Z             }
2023-01-11T21:01:51.7367050Z         }
2023-01-11T21:01:51.7367110Z     }
2023-01-11T21:01:51.7367175Z }
2023-01-11T21:01:51.7367267Z ''')
2023-01-11T21:01:51.7367273Z 
2023-01-11T21:01:51.7367277Z 
2023-01-11T21:01:51.7367366Z async_compile.wait(globals())
2023-01-11T21:01:51.7367425Z del async_compile
2023-01-11T21:01:51.7367430Z 
2023-01-11T21:01:51.7367498Z def call(args):
2023-01-11T21:01:51.7367566Z     arg0_1, = args
2023-01-11T21:01:51.7367635Z     args.clear()
2023-01-11T21:01:51.7367851Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7368061Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7368226Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7368294Z     del arg0_1
2023-01-11T21:01:51.7368358Z     return (buf0, buf1, )
2023-01-11T21:01:51.7368363Z 
2023-01-11T21:01:51.7368367Z 
2023-01-11T21:01:51.7368441Z if __name__ == "__main__":
2023-01-11T21:01:51.7368550Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7368670Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7368874Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7368979Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7369243Z [2023-01-11 20:51:29,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9
2023-01-11T21:01:51.7369646Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7369771Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7370019Z [2023-01-11 20:51:29,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10
2023-01-11T21:01:51.7370024Z 
2023-01-11T21:01:51.7370039Z 
2023-01-11T21:01:51.7370119Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7370186Z import torch
2023-01-11T21:01:51.7370255Z import random
2023-01-11T21:01:51.7370368Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7370486Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7370493Z 
2023-01-11T21:01:51.7370567Z aten = torch.ops.aten
2023-01-11T21:01:51.7370697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7370775Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7370780Z 
2023-01-11T21:01:51.7370785Z 
2023-01-11T21:01:51.7370917Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7371119Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7371236Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7371334Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7371426Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7371485Z {
2023-01-11T21:01:51.7371553Z     for(long i0=0; i0<36; i0+=1)
2023-01-11T21:01:51.7371612Z     {
2023-01-11T21:01:51.7371748Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7371833Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7371921Z     }
2023-01-11T21:01:51.7372007Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7372086Z     for(long i0=288; i0<288; i0+=1)
2023-01-11T21:01:51.7372134Z     {
2023-01-11T21:01:51.7372215Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7372314Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7372374Z     }
2023-01-11T21:01:51.7372451Z     #pragma GCC ivdep
2023-01-11T21:01:51.7372527Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7372586Z     {
2023-01-11T21:01:51.7372649Z         #pragma GCC ivdep
2023-01-11T21:01:51.7372726Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.7372782Z         {
2023-01-11T21:01:51.7372858Z             #pragma GCC ivdep
2023-01-11T21:01:51.7372937Z             for(long i2=0; i2<5; i2+=1)
2023-01-11T21:01:51.7372999Z             {
2023-01-11T21:01:51.7373062Z                 {
2023-01-11T21:01:51.7373114Z                     {
2023-01-11T21:01:51.7373222Z                         auto tmp0 = static_cast<long>(3*i1);
2023-01-11T21:01:51.7373331Z                         auto tmp1 = static_cast<long>(3 + (3*i1));
2023-01-11T21:01:51.7373423Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.7373532Z                         auto tmp3 = static_cast<long>(((6*i2) / 5));
2023-01-11T21:01:51.7373644Z                         auto tmp4 = static_cast<long>(2 + (((6*i2) / 5)));
2023-01-11T21:01:51.7373735Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:51.7373813Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:51.7373895Z                         float tmp7 = 0.0;
2023-01-11T21:01:51.7373967Z                         if(tmp6)
2023-01-11T21:01:51.7374033Z                         {
2023-01-11T21:01:51.7374147Z                             auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7374252Z                             auto tmp9 = static_cast<float>(1);
2023-01-11T21:01:51.7374347Z                             auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.7374414Z                             tmp7 = tmp10;
2023-01-11T21:01:51.7374482Z                         }
2023-01-11T21:01:51.7374596Z                         auto tmp11 = static_cast<long>(1 + (((6*i2) / 5)));
2023-01-11T21:01:51.7374687Z                         auto tmp12 = tmp11 < tmp4;
2023-01-11T21:01:51.7374778Z                         auto tmp13 = tmp2 & tmp12;
2023-01-11T21:01:51.7374861Z                         float tmp14 = 0.0;
2023-01-11T21:01:51.7374934Z                         if(tmp13)
2023-01-11T21:01:51.7374988Z                         {
2023-01-11T21:01:51.7375102Z                             auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7375209Z                             auto tmp16 = static_cast<float>(1);
2023-01-11T21:01:51.7375302Z                             auto tmp17 = tmp15 + tmp16;
2023-01-11T21:01:51.7375377Z                             tmp14 = tmp17;
2023-01-11T21:01:51.7375445Z                         }
2023-01-11T21:01:51.7375534Z                         auto tmp18 = tmp14 + tmp7;
2023-01-11T21:01:51.7375643Z                         auto tmp19 = static_cast<long>(1 + (3*i1));
2023-01-11T21:01:51.7375723Z                         auto tmp20 = tmp19 < tmp1;
2023-01-11T21:01:51.7375814Z                         auto tmp21 = tmp20 & tmp5;
2023-01-11T21:01:51.7375892Z                         float tmp22 = 0.0;
2023-01-11T21:01:51.7375965Z                         if(tmp21)
2023-01-11T21:01:51.7376026Z                         {
2023-01-11T21:01:51.7376136Z                             auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7376237Z                             auto tmp24 = static_cast<float>(1);
2023-01-11T21:01:51.7376319Z                             auto tmp25 = tmp23 + tmp24;
2023-01-11T21:01:51.7376394Z                             tmp22 = tmp25;
2023-01-11T21:01:51.7376458Z                         }
2023-01-11T21:01:51.7376549Z                         auto tmp26 = tmp22 + tmp18;
2023-01-11T21:01:51.7376635Z                         auto tmp27 = tmp20 & tmp12;
2023-01-11T21:01:51.7376742Z                         float tmp28 = 0.0;
2023-01-11T21:01:51.7376812Z                         if(tmp27)
2023-01-11T21:01:51.7376867Z                         {
2023-01-11T21:01:51.7376996Z                             auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7377101Z                             auto tmp30 = static_cast<float>(1);
2023-01-11T21:01:51.7377188Z                             auto tmp31 = tmp29 + tmp30;
2023-01-11T21:01:51.7377264Z                             tmp28 = tmp31;
2023-01-11T21:01:51.7377325Z                         }
2023-01-11T21:01:51.7377414Z                         auto tmp32 = tmp28 + tmp26;
2023-01-11T21:01:51.7377510Z                         auto tmp33 = static_cast<long>(2 + (3*i1));
2023-01-11T21:01:51.7377596Z                         auto tmp34 = tmp33 < tmp1;
2023-01-11T21:01:51.7377677Z                         auto tmp35 = tmp34 & tmp5;
2023-01-11T21:01:51.7377760Z                         float tmp36 = 0.0;
2023-01-11T21:01:51.7377829Z                         if(tmp35)
2023-01-11T21:01:51.7377893Z                         {
2023-01-11T21:01:51.7378003Z                             auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7378103Z                             auto tmp38 = static_cast<float>(1);
2023-01-11T21:01:51.7378185Z                             auto tmp39 = tmp37 + tmp38;
2023-01-11T21:01:51.7378263Z                             tmp36 = tmp39;
2023-01-11T21:01:51.7378324Z                         }
2023-01-11T21:01:51.7378410Z                         auto tmp40 = tmp36 + tmp32;
2023-01-11T21:01:51.7378497Z                         auto tmp41 = tmp34 & tmp12;
2023-01-11T21:01:51.7378575Z                         float tmp42 = 0.0;
2023-01-11T21:01:51.7378646Z                         if(tmp41)
2023-01-11T21:01:51.7378700Z                         {
2023-01-11T21:01:51.7378811Z                             auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7378917Z                             auto tmp44 = static_cast<float>(1);
2023-01-11T21:01:51.7379004Z                             auto tmp45 = tmp43 + tmp44;
2023-01-11T21:01:51.7379084Z                             tmp42 = tmp45;
2023-01-11T21:01:51.7379148Z                         }
2023-01-11T21:01:51.7379236Z                         auto tmp46 = tmp42 + tmp40;
2023-01-11T21:01:51.7379316Z                         auto tmp47 = tmp1 < tmp1;
2023-01-11T21:01:51.7379402Z                         auto tmp48 = tmp47 & tmp5;
2023-01-11T21:01:51.7379484Z                         float tmp49 = 0.0;
2023-01-11T21:01:51.7379555Z                         if(tmp48)
2023-01-11T21:01:51.7379615Z                         {
2023-01-11T21:01:51.7379722Z                             auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7379822Z                             auto tmp51 = static_cast<float>(1);
2023-01-11T21:01:51.7379904Z                             auto tmp52 = tmp50 + tmp51;
2023-01-11T21:01:51.7379981Z                             tmp49 = tmp52;
2023-01-11T21:01:51.7380044Z                         }
2023-01-11T21:01:51.7380130Z                         auto tmp53 = tmp49 + tmp46;
2023-01-11T21:01:51.7380220Z                         auto tmp54 = tmp47 & tmp12;
2023-01-11T21:01:51.7380296Z                         float tmp55 = 0.0;
2023-01-11T21:01:51.7380363Z                         if(tmp54)
2023-01-11T21:01:51.7380428Z                         {
2023-01-11T21:01:51.7380528Z                             auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2023-01-11T21:01:51.7380628Z                             auto tmp57 = static_cast<float>(1);
2023-01-11T21:01:51.7380719Z                             auto tmp58 = tmp56 + tmp57;
2023-01-11T21:01:51.7380794Z                             tmp55 = tmp58;
2023-01-11T21:01:51.7380852Z                         }
2023-01-11T21:01:51.7380941Z                         auto tmp59 = tmp55 + tmp53;
2023-01-11T21:01:51.7381055Z                         float tmp60 = 0.0;
2023-01-11T21:01:51.7381116Z                         if(tmp6)
2023-01-11T21:01:51.7381179Z                         {
2023-01-11T21:01:51.7381276Z                             auto tmp61 = static_cast<float>(1);
2023-01-11T21:01:51.7381395Z                             tmp60 = tmp61;
2023-01-11T21:01:51.7381456Z                         }
2023-01-11T21:01:51.7381532Z                         float tmp62 = 0.0;
2023-01-11T21:01:51.7381600Z                         if(tmp13)
2023-01-11T21:01:51.7381654Z                         {
2023-01-11T21:01:51.7381751Z                             auto tmp63 = static_cast<float>(1);
2023-01-11T21:01:51.7381827Z                             tmp62 = tmp63;
2023-01-11T21:01:51.7381891Z                         }
2023-01-11T21:01:51.7381979Z                         auto tmp64 = tmp62 + tmp60;
2023-01-11T21:01:51.7382053Z                         float tmp65 = 0.0;
2023-01-11T21:01:51.7382123Z                         if(tmp21)
2023-01-11T21:01:51.7382180Z                         {
2023-01-11T21:01:51.7382277Z                             auto tmp66 = static_cast<float>(1);
2023-01-11T21:01:51.7382352Z                             tmp65 = tmp66;
2023-01-11T21:01:51.7382411Z                         }
2023-01-11T21:01:51.7382502Z                         auto tmp67 = tmp65 + tmp64;
2023-01-11T21:01:51.7382579Z                         float tmp68 = 0.0;
2023-01-11T21:01:51.7382650Z                         if(tmp27)
2023-01-11T21:01:51.7382704Z                         {
2023-01-11T21:01:51.7382800Z                             auto tmp69 = static_cast<float>(1);
2023-01-11T21:01:51.7382877Z                             tmp68 = tmp69;
2023-01-11T21:01:51.7382942Z                         }
2023-01-11T21:01:51.7383030Z                         auto tmp70 = tmp68 + tmp67;
2023-01-11T21:01:51.7383110Z                         float tmp71 = 0.0;
2023-01-11T21:01:51.7383177Z                         if(tmp35)
2023-01-11T21:01:51.7383231Z                         {
2023-01-11T21:01:51.7383334Z                             auto tmp72 = static_cast<float>(1);
2023-01-11T21:01:51.7383412Z                             tmp71 = tmp72;
2023-01-11T21:01:51.7383473Z                         }
2023-01-11T21:01:51.7383562Z                         auto tmp73 = tmp71 + tmp70;
2023-01-11T21:01:51.7383638Z                         float tmp74 = 0.0;
2023-01-11T21:01:51.7383709Z                         if(tmp41)
2023-01-11T21:01:51.7383763Z                         {
2023-01-11T21:01:51.7383861Z                             auto tmp75 = static_cast<float>(1);
2023-01-11T21:01:51.7383936Z                             tmp74 = tmp75;
2023-01-11T21:01:51.7383996Z                         }
2023-01-11T21:01:51.7384085Z                         auto tmp76 = tmp74 + tmp73;
2023-01-11T21:01:51.7384159Z                         float tmp77 = 0.0;
2023-01-11T21:01:51.7384228Z                         if(tmp48)
2023-01-11T21:01:51.7384282Z                         {
2023-01-11T21:01:51.7384378Z                             auto tmp78 = static_cast<float>(1);
2023-01-11T21:01:51.7384456Z                             tmp77 = tmp78;
2023-01-11T21:01:51.7384516Z                         }
2023-01-11T21:01:51.7384600Z                         auto tmp79 = tmp77 + tmp76;
2023-01-11T21:01:51.7384679Z                         float tmp80 = 0.0;
2023-01-11T21:01:51.7384754Z                         if(tmp54)
2023-01-11T21:01:51.7384808Z                         {
2023-01-11T21:01:51.7384906Z                             auto tmp81 = static_cast<float>(1);
2023-01-11T21:01:51.7384982Z                             tmp80 = tmp81;
2023-01-11T21:01:51.7385046Z                         }
2023-01-11T21:01:51.7385129Z                         auto tmp82 = tmp80 + tmp79;
2023-01-11T21:01:51.7385216Z                         auto tmp83 = tmp59 / tmp82;
2023-01-11T21:01:51.7385308Z                         out_ptr1[i2 + (5*i1) + (10*i0)] = tmp83;
2023-01-11T21:01:51.7385361Z                     }
2023-01-11T21:01:51.7385421Z                 }
2023-01-11T21:01:51.7385506Z             }
2023-01-11T21:01:51.7385566Z         }
2023-01-11T21:01:51.7385620Z     }
2023-01-11T21:01:51.7385676Z }
2023-01-11T21:01:51.7385755Z ''')
2023-01-11T21:01:51.7385760Z 
2023-01-11T21:01:51.7385764Z 
2023-01-11T21:01:51.7385866Z async_compile.wait(globals())
2023-01-11T21:01:51.7385938Z del async_compile
2023-01-11T21:01:51.7385943Z 
2023-01-11T21:01:51.7386003Z def call(args):
2023-01-11T21:01:51.7386069Z     arg0_1, = args
2023-01-11T21:01:51.7386136Z     args.clear()
2023-01-11T21:01:51.7386346Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7386553Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7386709Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7386764Z     del arg0_1
2023-01-11T21:01:51.7386837Z     return (buf0, buf1, )
2023-01-11T21:01:51.7386845Z 
2023-01-11T21:01:51.7386849Z 
2023-01-11T21:01:51.7386922Z if __name__ == "__main__":
2023-01-11T21:01:51.7387031Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7387146Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7387350Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7387456Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7387720Z [2023-01-11 20:51:31,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10
2023-01-11T21:01:51.7387726Z 
2023-01-11T21:01:51.7387782Z ok (5.603s)
2023-01-11T21:01:51.7388226Z   test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7388353Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7388605Z [2023-01-11 20:51:31,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11
2023-01-11T21:01:51.7388843Z [2023-01-11 20:51:31,207] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2023-01-11T21:01:51.7389100Z [2023-01-11 20:51:31,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11
2023-01-11T21:01:51.7389105Z 
2023-01-11T21:01:51.7389196Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7389263Z import torch
2023-01-11T21:01:51.7389326Z import random
2023-01-11T21:01:51.7389426Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7389543Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7389548Z 
2023-01-11T21:01:51.7389619Z aten = torch.ops.aten
2023-01-11T21:01:51.7389749Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7389841Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7389846Z 
2023-01-11T21:01:51.7389850Z 
2023-01-11T21:01:51.7389930Z async_compile.wait(globals())
2023-01-11T21:01:51.7390000Z del async_compile
2023-01-11T21:01:51.7390005Z 
2023-01-11T21:01:51.7390067Z def call(args):
2023-01-11T21:01:51.7390121Z     arg0_1, = args
2023-01-11T21:01:51.7390182Z     args.clear()
2023-01-11T21:01:51.7390289Z     buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4])
2023-01-11T21:01:51.7390354Z     del arg0_1
2023-01-11T21:01:51.7390414Z     buf1 = buf0
2023-01-11T21:01:51.7390516Z     assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1))
2023-01-11T21:01:51.7390574Z     del buf0
2023-01-11T21:01:51.7390631Z     return (buf1, )
2023-01-11T21:01:51.7390636Z 
2023-01-11T21:01:51.7390640Z 
2023-01-11T21:01:51.7390711Z if __name__ == "__main__":
2023-01-11T21:01:51.7390820Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7390970Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7391184Z     arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7391286Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7391322Z 
2023-01-11T21:01:51.7391381Z ok (0.029s)
2023-01-11T21:01:51.7391818Z   test_add_const_float_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7391940Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7392182Z [2023-01-11 20:51:31,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12
2023-01-11T21:01:51.7392438Z [2023-01-11 20:51:32,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12
2023-01-11T21:01:51.7392445Z 
2023-01-11T21:01:51.7392529Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7392591Z import torch
2023-01-11T21:01:51.7392654Z import random
2023-01-11T21:01:51.7392763Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7392955Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7392962Z 
2023-01-11T21:01:51.7393036Z aten = torch.ops.aten
2023-01-11T21:01:51.7393157Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7393248Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7393252Z 
2023-01-11T21:01:51.7393256Z 
2023-01-11T21:01:51.7393389Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7393590Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7393704Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7393797Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7393855Z {
2023-01-11T21:01:51.7393936Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.7393985Z     {
2023-01-11T21:01:51.7394118Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7394244Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.5));
2023-01-11T21:01:51.7394318Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7394402Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7394462Z     }
2023-01-11T21:01:51.7394541Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7394607Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:51.7394666Z     {
2023-01-11T21:01:51.7394739Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7394835Z         auto tmp1 = static_cast<float>(1.5);
2023-01-11T21:01:51.7394915Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7394985Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7395041Z     }
2023-01-11T21:01:51.7395089Z }
2023-01-11T21:01:51.7395159Z ''')
2023-01-11T21:01:51.7395164Z 
2023-01-11T21:01:51.7395169Z 
2023-01-11T21:01:51.7395251Z async_compile.wait(globals())
2023-01-11T21:01:51.7395323Z del async_compile
2023-01-11T21:01:51.7395328Z 
2023-01-11T21:01:51.7395391Z def call(args):
2023-01-11T21:01:51.7395457Z     arg0_1, = args
2023-01-11T21:01:51.7395521Z     args.clear()
2023-01-11T21:01:51.7395703Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7395833Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7395898Z     del arg0_1
2023-01-11T21:01:51.7395960Z     return (buf0, )
2023-01-11T21:01:51.7395965Z 
2023-01-11T21:01:51.7395969Z 
2023-01-11T21:01:51.7396036Z if __name__ == "__main__":
2023-01-11T21:01:51.7396144Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7396258Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7396444Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7396574Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7396579Z 
2023-01-11T21:01:51.7396639Z ok (1.497s)
2023-01-11T21:01:51.7397102Z   test_add_const_int_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7397223Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7397475Z [2023-01-11 20:51:32,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13
2023-01-11T21:01:51.7397728Z [2023-01-11 20:51:34,201] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13
2023-01-11T21:01:51.7397734Z 
2023-01-11T21:01:51.7397822Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7397890Z import torch
2023-01-11T21:01:51.7397956Z import random
2023-01-11T21:01:51.7398058Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7398178Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7398183Z 
2023-01-11T21:01:51.7398258Z aten = torch.ops.aten
2023-01-11T21:01:51.7398389Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7398478Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7398483Z 
2023-01-11T21:01:51.7398487Z 
2023-01-11T21:01:51.7398619Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7398816Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7398929Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7399016Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7399069Z {
2023-01-11T21:01:51.7399145Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.7399204Z     {
2023-01-11T21:01:51.7399327Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7399450Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7399528Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7399602Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7399660Z     }
2023-01-11T21:01:51.7399742Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7399815Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:51.7399874Z     {
2023-01-11T21:01:51.7399946Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7400037Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7400104Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7400176Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7400228Z     }
2023-01-11T21:01:51.7400283Z }
2023-01-11T21:01:51.7400352Z ''')
2023-01-11T21:01:51.7400357Z 
2023-01-11T21:01:51.7400361Z 
2023-01-11T21:01:51.7400446Z async_compile.wait(globals())
2023-01-11T21:01:51.7400513Z del async_compile
2023-01-11T21:01:51.7400519Z 
2023-01-11T21:01:51.7400574Z def call(args):
2023-01-11T21:01:51.7400641Z     arg0_1, = args
2023-01-11T21:01:51.7400703Z     args.clear()
2023-01-11T21:01:51.7400894Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7401018Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7401078Z     del arg0_1
2023-01-11T21:01:51.7401143Z     return (buf0, )
2023-01-11T21:01:51.7401148Z 
2023-01-11T21:01:51.7401152Z 
2023-01-11T21:01:51.7401219Z if __name__ == "__main__":
2023-01-11T21:01:51.7401319Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7401433Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7401624Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7401724Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7401729Z 
2023-01-11T21:01:51.7401822Z ok (1.497s)
2023-01-11T21:01:51.7402291Z   test_add_inplace_permuted_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7402416Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7402670Z [2023-01-11 20:51:34,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14
2023-01-11T21:01:51.7402920Z [2023-01-11 20:51:35,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14
2023-01-11T21:01:51.7402925Z 
2023-01-11T21:01:51.7403005Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7403072Z import torch
2023-01-11T21:01:51.7403133Z import random
2023-01-11T21:01:51.7403245Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7403533Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7403540Z 
2023-01-11T21:01:51.7403618Z aten = torch.ops.aten
2023-01-11T21:01:51.7403747Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7403824Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7403842Z 
2023-01-11T21:01:51.7403846Z 
2023-01-11T21:01:51.7403968Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7404167Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7404277Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7404376Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7404473Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7404530Z {
2023-01-11T21:01:51.7404604Z     #pragma GCC ivdep
2023-01-11T21:01:51.7404670Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7404728Z     {
2023-01-11T21:01:51.7404801Z         #pragma GCC ivdep
2023-01-11T21:01:51.7404877Z         for(long i1=0; i1<12; i1+=1)
2023-01-11T21:01:51.7404937Z         {
2023-01-11T21:01:51.7405016Z             for(long i2=0; i2<27; i2+=1)
2023-01-11T21:01:51.7405079Z             {
2023-01-11T21:01:51.7405217Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (221*i1) + (2652*i0));
2023-01-11T21:01:51.7405355Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (221*i0));
2023-01-11T21:01:51.7405435Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7405541Z                 tmp2.store(out_ptr0 + (8*i2) + (221*i1) + (2652*i0));
2023-01-11T21:01:51.7405598Z             }
2023-01-11T21:01:51.7405685Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7405772Z             for(long i2=216; i2<221; i2+=1)
2023-01-11T21:01:51.7405822Z             {
2023-01-11T21:01:51.7405919Z                 auto tmp0 = out_ptr0[i2 + (221*i1) + (2652*i0)];
2023-01-11T21:01:51.7406016Z                 auto tmp1 = in_ptr1[i2 + (221*i0)];
2023-01-11T21:01:51.7406097Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7406194Z                 out_ptr0[i2 + (221*i1) + (2652*i0)] = tmp2;
2023-01-11T21:01:51.7406252Z             }
2023-01-11T21:01:51.7406310Z         }
2023-01-11T21:01:51.7406358Z     }
2023-01-11T21:01:51.7406412Z }
2023-01-11T21:01:51.7406487Z ''')
2023-01-11T21:01:51.7406492Z 
2023-01-11T21:01:51.7406496Z 
2023-01-11T21:01:51.7406579Z async_compile.wait(globals())
2023-01-11T21:01:51.7406647Z del async_compile
2023-01-11T21:01:51.7406652Z 
2023-01-11T21:01:51.7406714Z def call(args):
2023-01-11T21:01:51.7406787Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7406851Z     args.clear()
2023-01-11T21:01:51.7407000Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.7407063Z     del arg1_1
2023-01-11T21:01:51.7407128Z     return (arg0_1, )
2023-01-11T21:01:51.7407186Z 
2023-01-11T21:01:51.7407190Z 
2023-01-11T21:01:51.7407264Z if __name__ == "__main__":
2023-01-11T21:01:51.7407375Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7407526Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7407746Z     arg0_1 = rand_strided((2, 13, 12, 17), (2652, 17, 221, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7407953Z     arg1_1 = rand_strided((2, 13, 1, 17), (221, 17, 17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7408055Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7408060Z 
2023-01-11T21:01:51.7408121Z ok (1.536s)
2023-01-11T21:01:51.7408553Z   test_addmm_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7408675Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7408930Z [2023-01-11 20:51:35,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15
2023-01-11T21:01:51.7409185Z [2023-01-11 20:51:37,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15
2023-01-11T21:01:51.7409190Z 
2023-01-11T21:01:51.7409281Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7409343Z import torch
2023-01-11T21:01:51.7409410Z import random
2023-01-11T21:01:51.7409513Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7409626Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7409631Z 
2023-01-11T21:01:51.7409706Z aten = torch.ops.aten
2023-01-11T21:01:51.7409832Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7409921Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7409928Z 
2023-01-11T21:01:51.7409932Z 
2023-01-11T21:01:51.7410057Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7410258Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7410369Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7410459Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7410556Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.7410651Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7410738Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7410826Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.7410880Z {
2023-01-11T21:01:51.7410958Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7411006Z     {
2023-01-11T21:01:51.7411131Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7411255Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7411333Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7411417Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7411472Z     }
2023-01-11T21:01:51.7411559Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7411627Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.7411683Z     {
2023-01-11T21:01:51.7411760Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7411849Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7411926Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7411999Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7412057Z     }
2023-01-11T21:01:51.7412123Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7412177Z     {
2023-01-11T21:01:51.7412300Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7412419Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.7412496Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7412607Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7412662Z     }
2023-01-11T21:01:51.7412735Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7412808Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.7412866Z     {
2023-01-11T21:01:51.7412968Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.7413063Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7413136Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7413210Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.7413258Z     }
2023-01-11T21:01:51.7413329Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7413385Z     {
2023-01-11T21:01:51.7413508Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2023-01-11T21:01:51.7413631Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.7413707Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7413787Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.7413834Z     }
2023-01-11T21:01:51.7413916Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7413992Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.7414045Z     {
2023-01-11T21:01:51.7414116Z         auto tmp0 = in_ptr2[i0];
2023-01-11T21:01:51.7414210Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.7414291Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7414355Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:51.7414411Z     }
2023-01-11T21:01:51.7414466Z }
2023-01-11T21:01:51.7414538Z ''')
2023-01-11T21:01:51.7414543Z 
2023-01-11T21:01:51.7414547Z 
2023-01-11T21:01:51.7414674Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.7414874Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7414986Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.7415032Z {
2023-01-11T21:01:51.7415103Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7415160Z     {
2023-01-11T21:01:51.7415287Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7415412Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(4));
2023-01-11T21:01:51.7415486Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7415573Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7415621Z     }
2023-01-11T21:01:51.7415700Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7415775Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.7415834Z     {
2023-01-11T21:01:51.7415911Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.7416002Z         auto tmp1 = static_cast<float>(4);
2023-01-11T21:01:51.7416077Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7416143Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7416199Z     }
2023-01-11T21:01:51.7416249Z }
2023-01-11T21:01:51.7416324Z ''')
2023-01-11T21:01:51.7416330Z 
2023-01-11T21:01:51.7416334Z 
2023-01-11T21:01:51.7416415Z async_compile.wait(globals())
2023-01-11T21:01:51.7416485Z del async_compile
2023-01-11T21:01:51.7416492Z 
2023-01-11T21:01:51.7416556Z def call(args):
2023-01-11T21:01:51.7416623Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.7416690Z     args.clear()
2023-01-11T21:01:51.7416878Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7417070Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7417250Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7417486Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7417550Z     del arg0_1
2023-01-11T21:01:51.7417612Z     del arg1_1
2023-01-11T21:01:51.7417665Z     del arg2_1
2023-01-11T21:01:51.7417851Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7417971Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2023-01-11T21:01:51.7418063Z     del buf0
2023-01-11T21:01:51.7418126Z     del buf1
2023-01-11T21:01:51.7418183Z     del buf2
2023-01-11T21:01:51.7418265Z     buf4 = buf3; del buf3  # reuse
2023-01-11T21:01:51.7418355Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.7418463Z     return (buf4, )
2023-01-11T21:01:51.7418469Z 
2023-01-11T21:01:51.7418473Z 
2023-01-11T21:01:51.7418546Z if __name__ == "__main__":
2023-01-11T21:01:51.7418655Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7418773Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7418967Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7419156Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7419341Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7419450Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.7419457Z 
2023-01-11T21:01:51.7419515Z ok (1.588s)
2023-01-11T21:01:51.7419960Z   test_alexnet_prefix_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7420086Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7420340Z [2023-01-11 20:51:37,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16
2023-01-11T21:01:51.7420544Z [2023-01-11 20:51:37,584] torch._inductor.scheduler: [DEBUG] removed dead node: buf2
2023-01-11T21:01:51.7420802Z [2023-01-11 20:51:39,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16
2023-01-11T21:01:51.7420808Z 
2023-01-11T21:01:51.7420899Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7420967Z import torch
2023-01-11T21:01:51.7421023Z import random
2023-01-11T21:01:51.7421132Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7421251Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7421258Z 
2023-01-11T21:01:51.7421333Z aten = torch.ops.aten
2023-01-11T21:01:51.7421459Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7421544Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7421549Z 
2023-01-11T21:01:51.7421553Z 
2023-01-11T21:01:51.7421682Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7421879Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7421982Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7422079Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7422135Z {
2023-01-11T21:01:51.7422207Z     #pragma GCC ivdep
2023-01-11T21:01:51.7422284Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.7422342Z     {
2023-01-11T21:01:51.7422413Z         #pragma GCC ivdep
2023-01-11T21:01:51.7422482Z         for(long i1=0; i1<27; i1+=1)
2023-01-11T21:01:51.7422541Z         {
2023-01-11T21:01:51.7422612Z             #pragma GCC ivdep
2023-01-11T21:01:51.7422691Z             for(long i2=0; i2<27; i2+=1)
2023-01-11T21:01:51.7422752Z             {
2023-01-11T21:01:51.7422810Z                 {
2023-01-11T21:01:51.7422872Z                     {
2023-01-11T21:01:51.7422970Z                         auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423079Z                         auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423190Z                         auto tmp5 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423294Z                         auto tmp8 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423401Z                         auto tmp11 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423537Z                         auto tmp14 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423647Z                         auto tmp17 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423779Z                         auto tmp20 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423873Z                         auto tmp23 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7423968Z                         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.7424058Z                         auto tmp3 = tmp2 * (tmp2>0);
2023-01-11T21:01:51.7424182Z                         auto tmp4 = (tmp1 != tmp1) ? tmp1 : std::max(tmp3, tmp1);
2023-01-11T21:01:51.7424273Z                         auto tmp6 = tmp5 * (tmp5>0);
2023-01-11T21:01:51.7424389Z                         auto tmp7 = (tmp4 != tmp4) ? tmp4 : std::max(tmp6, tmp4);
2023-01-11T21:01:51.7424479Z                         auto tmp9 = tmp8 * (tmp8>0);
2023-01-11T21:01:51.7424600Z                         auto tmp10 = (tmp7 != tmp7) ? tmp7 : std::max(tmp9, tmp7);
2023-01-11T21:01:51.7424687Z                         auto tmp12 = tmp11 * (tmp11>0);
2023-01-11T21:01:51.7424813Z                         auto tmp13 = (tmp10 != tmp10) ? tmp10 : std::max(tmp12, tmp10);
2023-01-11T21:01:51.7424908Z                         auto tmp15 = tmp14 * (tmp14>0);
2023-01-11T21:01:51.7425030Z                         auto tmp16 = (tmp13 != tmp13) ? tmp13 : std::max(tmp15, tmp13);
2023-01-11T21:01:51.7425122Z                         auto tmp18 = tmp17 * (tmp17>0);
2023-01-11T21:01:51.7425241Z                         auto tmp19 = (tmp16 != tmp16) ? tmp16 : std::max(tmp18, tmp16);
2023-01-11T21:01:51.7425328Z                         auto tmp21 = tmp20 * (tmp20>0);
2023-01-11T21:01:51.7425447Z                         auto tmp22 = (tmp19 != tmp19) ? tmp19 : std::max(tmp21, tmp19);
2023-01-11T21:01:51.7425532Z                         auto tmp24 = tmp23 * (tmp23>0);
2023-01-11T21:01:51.7425657Z                         auto tmp25 = (tmp22 != tmp22) ? tmp22 : std::max(tmp24, tmp22);
2023-01-11T21:01:51.7425754Z                         out_ptr0[i2 + (27*i1) + (729*i0)] = tmp25;
2023-01-11T21:01:51.7425817Z                     }
2023-01-11T21:01:51.7425877Z                 }
2023-01-11T21:01:51.7425935Z             }
2023-01-11T21:01:51.7425995Z         }
2023-01-11T21:01:51.7426043Z     }
2023-01-11T21:01:51.7426098Z }
2023-01-11T21:01:51.7426171Z ''')
2023-01-11T21:01:51.7426177Z 
2023-01-11T21:01:51.7426181Z 
2023-01-11T21:01:51.7426268Z async_compile.wait(globals())
2023-01-11T21:01:51.7426335Z del async_compile
2023-01-11T21:01:51.7426340Z 
2023-01-11T21:01:51.7426401Z def call(args):
2023-01-11T21:01:51.7426472Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.7426540Z     args.clear()
2023-01-11T21:01:51.7426663Z     buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.7426771Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2023-01-11T21:01:51.7426833Z     del arg0_1
2023-01-11T21:01:51.7426897Z     del arg1_1
2023-01-11T21:01:51.7426955Z     del arg2_1
2023-01-11T21:01:51.7427175Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7427304Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7427363Z     return (buf1, )
2023-01-11T21:01:51.7427368Z 
2023-01-11T21:01:51.7427381Z 
2023-01-11T21:01:51.7427444Z if __name__ == "__main__":
2023-01-11T21:01:51.7427552Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7427667Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7427860Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7428075Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7428296Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7428442Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.7428447Z 
2023-01-11T21:01:51.7428500Z ok (1.988s)
2023-01-11T21:01:51.7428951Z   test_any_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7429079Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7429328Z [2023-01-11 20:51:39,360] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17
2023-01-11T21:01:51.7429585Z [2023-01-11 20:51:40,873] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17
2023-01-11T21:01:51.7429979Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7430098Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7430347Z [2023-01-11 20:51:40,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18
2023-01-11T21:01:51.7430602Z [2023-01-11 20:51:42,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18
2023-01-11T21:01:51.7430608Z 
2023-01-11T21:01:51.7430694Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7430757Z import torch
2023-01-11T21:01:51.7430814Z import random
2023-01-11T21:01:51.7430925Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7431044Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7431052Z 
2023-01-11T21:01:51.7431122Z aten = torch.ops.aten
2023-01-11T21:01:51.7431247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7431330Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7431335Z 
2023-01-11T21:01:51.7431341Z 
2023-01-11T21:01:51.7431469Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7431665Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7431767Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.7431857Z                        bool* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.7431953Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7432049Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:51.7432138Z                        bool* __restrict__ out_ptr1)
2023-01-11T21:01:51.7432192Z {
2023-01-11T21:01:51.7432270Z     auto out_ptr2 = in_out_ptr0;
2023-01-11T21:01:51.7432341Z     auto out_ptr3 = in_out_ptr1;
2023-01-11T21:01:51.7432398Z     {
2023-01-11T21:01:51.7432454Z         {
2023-01-11T21:01:51.7432521Z             bool tmp2 = 0;
2023-01-11T21:01:51.7432590Z             bool tmp4 = 0;
2023-01-11T21:01:51.7432657Z             bool tmp8 = 0;
2023-01-11T21:01:51.7432727Z             bool tmp10 = 0;
2023-01-11T21:01:51.7432800Z             for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.7432934Z             {
2023-01-11T21:01:51.7433005Z                 {
2023-01-11T21:01:51.7433092Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7433192Z                     auto tmp1 = static_cast<bool>(tmp0);
2023-01-11T21:01:51.7433286Z                     auto tmp3 = std::isinf(tmp0);
2023-01-11T21:01:51.7433366Z                     auto tmp5 = tmp3 == 0;
2023-01-11T21:01:51.7433457Z                     auto tmp6 = static_cast<long>(tmp5);
2023-01-11T21:01:51.7433557Z                     auto tmp7 = static_cast<bool>(tmp6);
2023-01-11T21:01:51.7433637Z                     auto tmp9 = tmp5 == 0;
2023-01-11T21:01:51.7433750Z                     tmp2 = tmp2 || tmp1;
2023-01-11T21:01:51.7433828Z                     tmp4 = tmp4 || tmp3;
2023-01-11T21:01:51.7433902Z                     tmp8 = tmp8 || tmp7;
2023-01-11T21:01:51.7434011Z                     tmp10 = tmp10 || tmp9;
2023-01-11T21:01:51.7434063Z                 }
2023-01-11T21:01:51.7434119Z             }
2023-01-11T21:01:51.7434195Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:51.7434264Z             out_ptr1[0] = tmp4;
2023-01-11T21:01:51.7434333Z             out_ptr2[0] = tmp8;
2023-01-11T21:01:51.7434406Z             out_ptr3[0] = tmp10;
2023-01-11T21:01:51.7434456Z         }
2023-01-11T21:01:51.7434509Z     }
2023-01-11T21:01:51.7434564Z     {
2023-01-11T21:01:51.7434619Z         {
2023-01-11T21:01:51.7434700Z             auto tmp0 = out_ptr2[0];
2023-01-11T21:01:51.7434781Z             auto tmp1 = tmp0 == 0;
2023-01-11T21:01:51.7434853Z             in_out_ptr0[0] = tmp1;
2023-01-11T21:01:51.7434901Z         }
2023-01-11T21:01:51.7434957Z     }
2023-01-11T21:01:51.7435010Z     {
2023-01-11T21:01:51.7435069Z         {
2023-01-11T21:01:51.7435144Z             auto tmp0 = out_ptr3[0];
2023-01-11T21:01:51.7435219Z             auto tmp1 = tmp0 == 0;
2023-01-11T21:01:51.7435291Z             in_out_ptr1[0] = tmp1;
2023-01-11T21:01:51.7435340Z         }
2023-01-11T21:01:51.7435395Z     }
2023-01-11T21:01:51.7435447Z }
2023-01-11T21:01:51.7435526Z ''')
2023-01-11T21:01:51.7435532Z 
2023-01-11T21:01:51.7435536Z 
2023-01-11T21:01:51.7435618Z async_compile.wait(globals())
2023-01-11T21:01:51.7435685Z del async_compile
2023-01-11T21:01:51.7435690Z 
2023-01-11T21:01:51.7435756Z def call(args):
2023-01-11T21:01:51.7435811Z     arg0_1, = args
2023-01-11T21:01:51.7435880Z     args.clear()
2023-01-11T21:01:51.7436053Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7436222Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7436393Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7436559Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7436634Z     buf4 = buf2; del buf2  # reuse
2023-01-11T21:01:51.7436703Z     buf5 = buf3; del buf3  # reuse
2023-01-11T21:01:51.7436914Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7436982Z     del arg0_1
2023-01-11T21:01:51.7437063Z     return (buf0, buf1, buf4, buf5, )
2023-01-11T21:01:51.7437068Z 
2023-01-11T21:01:51.7437072Z 
2023-01-11T21:01:51.7437143Z if __name__ == "__main__":
2023-01-11T21:01:51.7437254Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7437371Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7437561Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7437657Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7437664Z 
2023-01-11T21:01:51.7437675Z 
2023-01-11T21:01:51.7437754Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7437822Z import torch
2023-01-11T21:01:51.7437887Z import random
2023-01-11T21:01:51.7438000Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7438114Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7438119Z 
2023-01-11T21:01:51.7438193Z aten = torch.ops.aten
2023-01-11T21:01:51.7438324Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7438411Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7438416Z 
2023-01-11T21:01:51.7438420Z 
2023-01-11T21:01:51.7438537Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7438733Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7438842Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.7438933Z                        bool* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.7439070Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7439157Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:51.7439247Z                        bool* __restrict__ out_ptr1)
2023-01-11T21:01:51.7439299Z {
2023-01-11T21:01:51.7439398Z     auto out_ptr3 = in_out_ptr0;
2023-01-11T21:01:51.7439479Z     auto out_ptr2 = in_out_ptr1;
2023-01-11T21:01:51.7439549Z     #pragma GCC ivdep
2023-01-11T21:01:51.7439623Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.7439681Z     {
2023-01-11T21:01:51.7439737Z         {
2023-01-11T21:01:51.7439786Z             {
2023-01-11T21:01:51.7439858Z                 bool tmp2 = 0;
2023-01-11T21:01:51.7439940Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.7440001Z                 {
2023-01-11T21:01:51.7440061Z                     {
2023-01-11T21:01:51.7440157Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.7440260Z                         auto tmp1 = static_cast<bool>(tmp0);
2023-01-11T21:01:51.7440339Z                         tmp2 = tmp2 || tmp1;
2023-01-11T21:01:51.7440402Z                     }
2023-01-11T21:01:51.7440457Z                 }
2023-01-11T21:01:51.7440531Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7440595Z             }
2023-01-11T21:01:51.7440651Z         }
2023-01-11T21:01:51.7440707Z     }
2023-01-11T21:01:51.7440754Z     {
2023-01-11T21:01:51.7440809Z         {
2023-01-11T21:01:51.7440882Z             bool tmp2 = 0;
2023-01-11T21:01:51.7440948Z             bool tmp5 = 0;
2023-01-11T21:01:51.7441030Z             for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.7441085Z             {
2023-01-11T21:01:51.7441136Z                 {
2023-01-11T21:01:51.7441225Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7441320Z                     auto tmp1 = std::isinf(tmp0);
2023-01-11T21:01:51.7441404Z                     auto tmp3 = tmp1 == 0;
2023-01-11T21:01:51.7441485Z                     auto tmp4 = tmp3 == 0;
2023-01-11T21:01:51.7441566Z                     tmp2 = tmp2 || tmp1;
2023-01-11T21:01:51.7441642Z                     tmp5 = tmp5 || tmp4;
2023-01-11T21:01:51.7441703Z                 }
2023-01-11T21:01:51.7441753Z             }
2023-01-11T21:01:51.7441825Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:51.7441897Z             out_ptr2[0] = tmp5;
2023-01-11T21:01:51.7441952Z         }
2023-01-11T21:01:51.7442006Z     }
2023-01-11T21:01:51.7442072Z     #pragma GCC ivdep
2023-01-11T21:01:51.7442136Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7442195Z     {
2023-01-11T21:01:51.7442250Z         {
2023-01-11T21:01:51.7442310Z             {
2023-01-11T21:01:51.7442380Z                 bool tmp5 = 0;
2023-01-11T21:01:51.7442468Z                 for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:51.7442525Z                 {
2023-01-11T21:01:51.7442576Z                     {
2023-01-11T21:01:51.7442673Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:51.7442766Z                         auto tmp1 = std::isinf(tmp0);
2023-01-11T21:01:51.7442856Z                         auto tmp2 = tmp1 == 0;
2023-01-11T21:01:51.7442957Z                         auto tmp3 = static_cast<long>(tmp2);
2023-01-11T21:01:51.7443062Z                         auto tmp4 = static_cast<bool>(tmp3);
2023-01-11T21:01:51.7443145Z                         tmp5 = tmp5 || tmp4;
2023-01-11T21:01:51.7443198Z                     }
2023-01-11T21:01:51.7443254Z                 }
2023-01-11T21:01:51.7443330Z                 out_ptr3[i0] = tmp5;
2023-01-11T21:01:51.7443537Z             }
2023-01-11T21:01:51.7443599Z         }
2023-01-11T21:01:51.7443657Z     }
2023-01-11T21:01:51.7443725Z     #pragma GCC ivdep
2023-01-11T21:01:51.7443792Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7443849Z     {
2023-01-11T21:01:51.7443902Z         {
2023-01-11T21:01:51.7443960Z             {
2023-01-11T21:01:51.7444041Z                 auto tmp0 = out_ptr3[i0];
2023-01-11T21:01:51.7444126Z                 auto tmp1 = tmp0 == 0;
2023-01-11T21:01:51.7444252Z                 in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.7444309Z             }
2023-01-11T21:01:51.7444368Z         }
2023-01-11T21:01:51.7444421Z     }
2023-01-11T21:01:51.7444479Z     {
2023-01-11T21:01:51.7444533Z         {
2023-01-11T21:01:51.7444643Z             auto tmp0 = out_ptr2[0];
2023-01-11T21:01:51.7444725Z             auto tmp1 = tmp0 == 0;
2023-01-11T21:01:51.7444797Z             in_out_ptr1[0] = tmp1;
2023-01-11T21:01:51.7444851Z         }
2023-01-11T21:01:51.7444909Z     }
2023-01-11T21:01:51.7444964Z }
2023-01-11T21:01:51.7445046Z ''')
2023-01-11T21:01:51.7445051Z 
2023-01-11T21:01:51.7445055Z 
2023-01-11T21:01:51.7445136Z async_compile.wait(globals())
2023-01-11T21:01:51.7445194Z del async_compile
2023-01-11T21:01:51.7445198Z 
2023-01-11T21:01:51.7445264Z def call(args):
2023-01-11T21:01:51.7445325Z     arg0_1, = args
2023-01-11T21:01:51.7445395Z     args.clear()
2023-01-11T21:01:51.7445577Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7445752Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7445920Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7446090Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7446172Z     buf3 = buf2; del buf2  # reuse
2023-01-11T21:01:51.7446250Z     buf5 = buf4; del buf4  # reuse
2023-01-11T21:01:51.7446459Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7446523Z     del arg0_1
2023-01-11T21:01:51.7446609Z     return (buf0, buf1, buf3, buf5, )
2023-01-11T21:01:51.7446614Z 
2023-01-11T21:01:51.7446618Z 
2023-01-11T21:01:51.7446685Z if __name__ == "__main__":
2023-01-11T21:01:51.7446794Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7446903Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7447094Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7447196Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7447201Z 
2023-01-11T21:01:51.7447261Z ok (3.169s)
2023-01-11T21:01:51.7447694Z   test_arange1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7447816Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7448072Z [2023-01-11 20:51:42,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19
2023-01-11T21:01:51.7448326Z [2023-01-11 20:51:44,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19
2023-01-11T21:01:51.7448331Z 
2023-01-11T21:01:51.7448423Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7448480Z import torch
2023-01-11T21:01:51.7448545Z import random
2023-01-11T21:01:51.7448656Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7448773Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7448778Z 
2023-01-11T21:01:51.7448849Z aten = torch.ops.aten
2023-01-11T21:01:51.7448977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7449066Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7449071Z 
2023-01-11T21:01:51.7449076Z 
2023-01-11T21:01:51.7449198Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7449389Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7449500Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7449597Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7449689Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7449810Z {
2023-01-11T21:01:51.7449880Z     #pragma GCC ivdep
2023-01-11T21:01:51.7449957Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.7450003Z     {
2023-01-11T21:01:51.7450060Z         {
2023-01-11T21:01:51.7450118Z             {
2023-01-11T21:01:51.7450225Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7450326Z                 auto tmp1 = static_cast<float>(i0);
2023-01-11T21:01:51.7450406Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7450485Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7450537Z             }
2023-01-11T21:01:51.7450595Z         }
2023-01-11T21:01:51.7450653Z     }
2023-01-11T21:01:51.7450722Z     #pragma GCC ivdep
2023-01-11T21:01:51.7450796Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7450854Z     {
2023-01-11T21:01:51.7450929Z         #pragma GCC ivdep
2023-01-11T21:01:51.7450996Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.7451054Z         {
2023-01-11T21:01:51.7451110Z             {
2023-01-11T21:01:51.7451174Z                 {
2023-01-11T21:01:51.7451271Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.7451377Z                     auto tmp1 = static_cast<long>(10 + i1);
2023-01-11T21:01:51.7451473Z                     auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:51.7451563Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.7451651Z                     out_ptr1[i1 + (8*i0)] = tmp3;
2023-01-11T21:01:51.7451712Z                 }
2023-01-11T21:01:51.7451770Z             }
2023-01-11T21:01:51.7451830Z         }
2023-01-11T21:01:51.7451888Z     }
2023-01-11T21:01:51.7451935Z }
2023-01-11T21:01:51.7452012Z ''')
2023-01-11T21:01:51.7452017Z 
2023-01-11T21:01:51.7452022Z 
2023-01-11T21:01:51.7452105Z async_compile.wait(globals())
2023-01-11T21:01:51.7452173Z del async_compile
2023-01-11T21:01:51.7452177Z 
2023-01-11T21:01:51.7452245Z def call(args):
2023-01-11T21:01:51.7452309Z     arg0_1, = args
2023-01-11T21:01:51.7452374Z     args.clear()
2023-01-11T21:01:51.7452556Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7452745Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7452909Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7452969Z     del arg0_1
2023-01-11T21:01:51.7453044Z     return (buf0, buf1, )
2023-01-11T21:01:51.7453050Z 
2023-01-11T21:01:51.7453055Z 
2023-01-11T21:01:51.7453128Z if __name__ == "__main__":
2023-01-11T21:01:51.7453234Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7453354Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7453535Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7453634Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7453639Z 
2023-01-11T21:01:51.7453700Z ok (1.549s)
2023-01-11T21:01:51.7454136Z   test_arange2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7454261Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7454508Z [2023-01-11 20:51:44,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20
2023-01-11T21:01:51.7454766Z [2023-01-11 20:51:45,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20
2023-01-11T21:01:51.7454771Z 
2023-01-11T21:01:51.7454856Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7454921Z import torch
2023-01-11T21:01:51.7454982Z import random
2023-01-11T21:01:51.7455082Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7455198Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7455233Z 
2023-01-11T21:01:51.7455308Z aten = torch.ops.aten
2023-01-11T21:01:51.7455434Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7455523Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7455571Z 
2023-01-11T21:01:51.7455576Z 
2023-01-11T21:01:51.7455702Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7455900Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7456012Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.7456094Z                        long* __restrict__ out_ptr0)
2023-01-11T21:01:51.7456147Z {
2023-01-11T21:01:51.7456220Z     #pragma GCC ivdep
2023-01-11T21:01:51.7456294Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7456354Z     {
2023-01-11T21:01:51.7456425Z         #pragma GCC ivdep
2023-01-11T21:01:51.7456493Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.7456550Z         {
2023-01-11T21:01:51.7456609Z             {
2023-01-11T21:01:51.7456668Z                 {
2023-01-11T21:01:51.7456762Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.7456856Z                     auto tmp1 = static_cast<long>(i1);
2023-01-11T21:01:51.7456943Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7457024Z                     out_ptr0[i1 + (8*i0)] = tmp2;
2023-01-11T21:01:51.7457087Z                 }
2023-01-11T21:01:51.7457143Z             }
2023-01-11T21:01:51.7457198Z         }
2023-01-11T21:01:51.7457257Z     }
2023-01-11T21:01:51.7457310Z }
2023-01-11T21:01:51.7457384Z ''')
2023-01-11T21:01:51.7457390Z 
2023-01-11T21:01:51.7457394Z 
2023-01-11T21:01:51.7457468Z async_compile.wait(globals())
2023-01-11T21:01:51.7457536Z del async_compile
2023-01-11T21:01:51.7457541Z 
2023-01-11T21:01:51.7457605Z def call(args):
2023-01-11T21:01:51.7457672Z     arg0_1, = args
2023-01-11T21:01:51.7457735Z     args.clear()
2023-01-11T21:01:51.7457920Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7458049Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7458103Z     del arg0_1
2023-01-11T21:01:51.7458169Z     return (buf0, )
2023-01-11T21:01:51.7458176Z 
2023-01-11T21:01:51.7458180Z 
2023-01-11T21:01:51.7458249Z if __name__ == "__main__":
2023-01-11T21:01:51.7458359Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7458477Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7458660Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7458763Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7458768Z 
2023-01-11T21:01:51.7458830Z ok (1.542s)
2023-01-11T21:01:51.7459257Z   test_arange3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7459382Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7459628Z [2023-01-11 20:51:45,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21
2023-01-11T21:01:51.7459884Z [2023-01-11 20:51:47,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21
2023-01-11T21:01:51.7459889Z 
2023-01-11T21:01:51.7459979Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7460043Z import torch
2023-01-11T21:01:51.7460109Z import random
2023-01-11T21:01:51.7460214Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7460332Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7460337Z 
2023-01-11T21:01:51.7460408Z aten = torch.ops.aten
2023-01-11T21:01:51.7460529Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7460652Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7460657Z 
2023-01-11T21:01:51.7460662Z 
2023-01-11T21:01:51.7460788Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7461016Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7461131Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7461228Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7461284Z {
2023-01-11T21:01:51.7461347Z     #pragma GCC ivdep
2023-01-11T21:01:51.7461426Z     for(long i0=0; i0<14; i0+=1)
2023-01-11T21:01:51.7461480Z     {
2023-01-11T21:01:51.7461539Z         {
2023-01-11T21:01:51.7461594Z             {
2023-01-11T21:01:51.7461679Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7461775Z                 auto tmp1 = static_cast<long>(4*i0);
2023-01-11T21:01:51.7461865Z                 auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:51.7461948Z                 auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.7462025Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.7462080Z             }
2023-01-11T21:01:51.7462140Z         }
2023-01-11T21:01:51.7462195Z     }
2023-01-11T21:01:51.7462249Z }
2023-01-11T21:01:51.7462314Z ''')
2023-01-11T21:01:51.7462320Z 
2023-01-11T21:01:51.7462324Z 
2023-01-11T21:01:51.7462407Z async_compile.wait(globals())
2023-01-11T21:01:51.7462476Z del async_compile
2023-01-11T21:01:51.7462481Z 
2023-01-11T21:01:51.7462547Z def call(args):
2023-01-11T21:01:51.7462609Z     arg0_1, = args
2023-01-11T21:01:51.7462677Z     args.clear()
2023-01-11T21:01:51.7462869Z     buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7462992Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7463054Z     del arg0_1
2023-01-11T21:01:51.7463126Z     return (buf0, )
2023-01-11T21:01:51.7463131Z 
2023-01-11T21:01:51.7463134Z 
2023-01-11T21:01:51.7463203Z if __name__ == "__main__":
2023-01-11T21:01:51.7463312Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7463429Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7463617Z     arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7463721Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7463726Z 
2023-01-11T21:01:51.7463778Z ok (1.550s)
2023-01-11T21:01:51.7464203Z   test_arange4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7464328Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7464578Z [2023-01-11 20:51:47,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22
2023-01-11T21:01:51.7464835Z [2023-01-11 20:51:48,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22
2023-01-11T21:01:51.7464840Z 
2023-01-11T21:01:51.7464929Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7464994Z import torch
2023-01-11T21:01:51.7465060Z import random
2023-01-11T21:01:51.7465169Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7465276Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7465281Z 
2023-01-11T21:01:51.7465355Z aten = torch.ops.aten
2023-01-11T21:01:51.7465482Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7465572Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7465577Z 
2023-01-11T21:01:51.7465582Z 
2023-01-11T21:01:51.7465706Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7465904Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7466052Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7466144Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7466192Z {
2023-01-11T21:01:51.7466265Z     #pragma GCC ivdep
2023-01-11T21:01:51.7466399Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.7466462Z     {
2023-01-11T21:01:51.7466524Z         {
2023-01-11T21:01:51.7466586Z             {
2023-01-11T21:01:51.7466674Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7466829Z                 auto tmp1 = static_cast<long>(512 + ((-1)*i0));
2023-01-11T21:01:51.7466932Z                 auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:51.7467059Z                 auto tmp3 = tmp0 - tmp2;
2023-01-11T21:01:51.7467137Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.7467200Z             }
2023-01-11T21:01:51.7467260Z         }
2023-01-11T21:01:51.7467320Z     }
2023-01-11T21:01:51.7467366Z }
2023-01-11T21:01:51.7467441Z ''')
2023-01-11T21:01:51.7467446Z 
2023-01-11T21:01:51.7467452Z 
2023-01-11T21:01:51.7467539Z async_compile.wait(globals())
2023-01-11T21:01:51.7467610Z del async_compile
2023-01-11T21:01:51.7467615Z 
2023-01-11T21:01:51.7467682Z def call(args):
2023-01-11T21:01:51.7467749Z     arg0_1, = args
2023-01-11T21:01:51.7467819Z     args.clear()
2023-01-11T21:01:51.7468004Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7468135Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7468200Z     del arg0_1
2023-01-11T21:01:51.7468269Z     return (buf0, )
2023-01-11T21:01:51.7468273Z 
2023-01-11T21:01:51.7468277Z 
2023-01-11T21:01:51.7468352Z if __name__ == "__main__":
2023-01-11T21:01:51.7468463Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7468584Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7468780Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7468873Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7468880Z 
2023-01-11T21:01:51.7468945Z ok (1.526s)
2023-01-11T21:01:51.7469389Z   test_argmax_argmin1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7469514Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7469769Z [2023-01-11 20:51:48,687] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23
2023-01-11T21:01:51.7470029Z [2023-01-11 20:51:50,179] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23
2023-01-11T21:01:51.7470034Z 
2023-01-11T21:01:51.7470128Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7470197Z import torch
2023-01-11T21:01:51.7470268Z import random
2023-01-11T21:01:51.7470369Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7470486Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7470491Z 
2023-01-11T21:01:51.7470568Z aten = torch.ops.aten
2023-01-11T21:01:51.7470700Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7470790Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7470796Z 
2023-01-11T21:01:51.7470800Z 
2023-01-11T21:01:51.7470931Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7471133Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7471249Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7471333Z                        long* __restrict__ out_ptr0,
2023-01-11T21:01:51.7471426Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.7471485Z {
2023-01-11T21:01:51.7471545Z     {
2023-01-11T21:01:51.7471641Z         {
2023-01-11T21:01:51.7471759Z             struct IndexValue_1 {size_t index; float value;};
2023-01-11T21:01:51.7472008Z             IndexValue_1 tmp1{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:51.7472160Z             #pragma omp declare reduction(argmax : struct IndexValue_1 :\
2023-01-11T21:01:51.7472307Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:51.7472450Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:51.7472681Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:51.7472796Z             struct IndexValue_2 {size_t index; float value;};
2023-01-11T21:01:51.7473012Z             IndexValue_2 tmp2{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:51.7473147Z             #pragma omp declare reduction(argmin : struct IndexValue_2 :\
2023-01-11T21:01:51.7473290Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:51.7473434Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:51.7473564Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:51.7473654Z             for(long i0=0; i0<524288; i0+=1)
2023-01-11T21:01:51.7473716Z             {
2023-01-11T21:01:51.7473781Z                 {
2023-01-11T21:01:51.7473871Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7473959Z                     if (tmp1.value < tmp0) {
2023-01-11T21:01:51.7474066Z                         tmp1.index = i0; tmp1.value = tmp0;
2023-01-11T21:01:51.7474120Z                     }
2023-01-11T21:01:51.7474209Z                     if (tmp2.value > tmp0) {
2023-01-11T21:01:51.7474317Z                         tmp2.index = i0; tmp2.value = tmp0;
2023-01-11T21:01:51.7474382Z                     }
2023-01-11T21:01:51.7474445Z                 }
2023-01-11T21:01:51.7474509Z             }
2023-01-11T21:01:51.7474594Z             out_ptr0[0] = tmp1.index;
2023-01-11T21:01:51.7474662Z             out_ptr1[0] = tmp2.index;
2023-01-11T21:01:51.7474724Z         }
2023-01-11T21:01:51.7474785Z     }
2023-01-11T21:01:51.7474846Z }
2023-01-11T21:01:51.7474925Z ''')
2023-01-11T21:01:51.7474931Z 
2023-01-11T21:01:51.7474935Z 
2023-01-11T21:01:51.7475024Z async_compile.wait(globals())
2023-01-11T21:01:51.7475094Z del async_compile
2023-01-11T21:01:51.7475099Z 
2023-01-11T21:01:51.7475155Z def call(args):
2023-01-11T21:01:51.7475222Z     arg0_1, = args
2023-01-11T21:01:51.7475290Z     args.clear()
2023-01-11T21:01:51.7475470Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7475646Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7475810Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7475878Z     del arg0_1
2023-01-11T21:01:51.7475943Z     return (buf0, buf1, )
2023-01-11T21:01:51.7475949Z 
2023-01-11T21:01:51.7475966Z 
2023-01-11T21:01:51.7476029Z if __name__ == "__main__":
2023-01-11T21:01:51.7476142Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7476263Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7476478Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7476583Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7476588Z 
2023-01-11T21:01:51.7476653Z ok (1.548s)
2023-01-11T21:01:51.7477092Z   test_argmax_argmin2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7477256Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7477500Z [2023-01-11 20:51:50,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24
2023-01-11T21:01:51.7477789Z [2023-01-11 20:51:51,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24
2023-01-11T21:01:51.7477795Z 
2023-01-11T21:01:51.7477888Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7477957Z import torch
2023-01-11T21:01:51.7478026Z import random
2023-01-11T21:01:51.7478138Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7478257Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7478262Z 
2023-01-11T21:01:51.7478337Z aten = torch.ops.aten
2023-01-11T21:01:51.7478457Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7478548Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7478552Z 
2023-01-11T21:01:51.7478557Z 
2023-01-11T21:01:51.7478690Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7478894Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7479011Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7479110Z                        long* __restrict__ out_ptr0,
2023-01-11T21:01:51.7479205Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.7479297Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.7479375Z                        long* __restrict__ out_ptr3)
2023-01-11T21:01:51.7479434Z {
2023-01-11T21:01:51.7479509Z     #pragma GCC ivdep
2023-01-11T21:01:51.7479588Z     for(long i0=0; i0<144; i0+=1)
2023-01-11T21:01:51.7479649Z     {
2023-01-11T21:01:51.7479711Z         {
2023-01-11T21:01:51.7479773Z             {
2023-01-11T21:01:51.7479878Z                 struct IndexValue_3 {size_t index; float value;};
2023-01-11T21:01:51.7480107Z                 IndexValue_3 tmp1{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:51.7480247Z                 #pragma omp declare reduction(argmax : struct IndexValue_3 :\
2023-01-11T21:01:51.7480394Z                     omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:51.7480544Z                     omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:51.7480779Z                 	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:51.7480896Z                 struct IndexValue_4 {size_t index; float value;};
2023-01-11T21:01:51.7481032Z                 IndexValue_4 tmp2{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:51.7481154Z                 #pragma omp declare reduction(argmin : struct IndexValue_4 :\
2023-01-11T21:01:51.7481300Z                     omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:51.7481444Z                     omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:51.7481586Z                 	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:51.7481676Z                 for(long i1=0; i1<144; i1+=1)
2023-01-11T21:01:51.7481741Z                 {
2023-01-11T21:01:51.7481808Z                     {
2023-01-11T21:01:51.7481913Z                         auto tmp0 = in_ptr0[i0 + (144*i1)];
2023-01-11T21:01:51.7481995Z                         if (tmp1.value < tmp0) {
2023-01-11T21:01:51.7482105Z                             tmp1.index = i1; tmp1.value = tmp0;
2023-01-11T21:01:51.7482174Z                         }
2023-01-11T21:01:51.7482266Z                         if (tmp2.value > tmp0) {
2023-01-11T21:01:51.7482375Z                             tmp2.index = i1; tmp2.value = tmp0;
2023-01-11T21:01:51.7482442Z                         }
2023-01-11T21:01:51.7482506Z                     }
2023-01-11T21:01:51.7482558Z                 }
2023-01-11T21:01:51.7482650Z                 out_ptr0[i0] = tmp1.index;
2023-01-11T21:01:51.7482772Z                 out_ptr1[i0] = tmp2.index;
2023-01-11T21:01:51.7482836Z             }
2023-01-11T21:01:51.7482898Z         }
2023-01-11T21:01:51.7482959Z     }
2023-01-11T21:01:51.7483035Z     #pragma GCC ivdep
2023-01-11T21:01:51.7483134Z     for(long i0=0; i0<144; i0+=1)
2023-01-11T21:01:51.7483196Z     {
2023-01-11T21:01:51.7483256Z         {
2023-01-11T21:01:51.7483317Z             {
2023-01-11T21:01:51.7483603Z                 struct IndexValue_5 {size_t index; float value;};
2023-01-11T21:01:51.7483866Z                 IndexValue_5 tmp1{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:51.7484005Z                 #pragma omp declare reduction(argmax : struct IndexValue_5 :\
2023-01-11T21:01:51.7484141Z                     omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:51.7484286Z                     omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:51.7484521Z                 	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:51.7484642Z                 struct IndexValue_6 {size_t index; float value;};
2023-01-11T21:01:51.7484776Z                 IndexValue_6 tmp2{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:51.7484911Z                 #pragma omp declare reduction(argmin : struct IndexValue_6 :\
2023-01-11T21:01:51.7485056Z                     omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:51.7485199Z                     omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:51.7485340Z                 	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:51.7485417Z                 for(long i1=0; i1<144; i1+=1)
2023-01-11T21:01:51.7485482Z                 {
2023-01-11T21:01:51.7485548Z                     {
2023-01-11T21:01:51.7485655Z                         auto tmp0 = in_ptr0[i1 + (144*i0)];
2023-01-11T21:01:51.7485753Z                         if (tmp1.value < tmp0) {
2023-01-11T21:01:51.7485860Z                             tmp1.index = i1; tmp1.value = tmp0;
2023-01-11T21:01:51.7485931Z                         }
2023-01-11T21:01:51.7486013Z                         if (tmp2.value > tmp0) {
2023-01-11T21:01:51.7486120Z                             tmp2.index = i1; tmp2.value = tmp0;
2023-01-11T21:01:51.7486188Z                         }
2023-01-11T21:01:51.7486253Z                     }
2023-01-11T21:01:51.7486318Z                 }
2023-01-11T21:01:51.7486408Z                 out_ptr2[i0] = tmp1.index;
2023-01-11T21:01:51.7486496Z                 out_ptr3[i0] = tmp2.index;
2023-01-11T21:01:51.7486546Z             }
2023-01-11T21:01:51.7486608Z         }
2023-01-11T21:01:51.7486668Z     }
2023-01-11T21:01:51.7486727Z }
2023-01-11T21:01:51.7486803Z ''')
2023-01-11T21:01:51.7486808Z 
2023-01-11T21:01:51.7486813Z 
2023-01-11T21:01:51.7486900Z async_compile.wait(globals())
2023-01-11T21:01:51.7486972Z del async_compile
2023-01-11T21:01:51.7486979Z 
2023-01-11T21:01:51.7487036Z def call(args):
2023-01-11T21:01:51.7487104Z     arg0_1, = args
2023-01-11T21:01:51.7487172Z     args.clear()
2023-01-11T21:01:51.7487365Z     buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7487553Z     buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7487734Z     buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7487918Z     buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7488126Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:51.7488181Z     del arg0_1
2023-01-11T21:01:51.7488267Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:51.7488272Z 
2023-01-11T21:01:51.7488276Z 
2023-01-11T21:01:51.7488351Z if __name__ == "__main__":
2023-01-11T21:01:51.7488523Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7488646Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7488853Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7488995Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7489002Z 
2023-01-11T21:01:51.7489067Z ok (1.548s)
2023-01-11T21:01:51.7489172Z   test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 
2023-01-11T21:01:51.7489325Z         FIXME: In the case of having equally max/min elements, our implementation returns
2023-01-11T21:01:51.7489429Z         the last index instead of the first one
2023-01-11T21:01:51.7489495Z          (0.001s)
2023-01-11T21:01:51.7489933Z   test_as_strided_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7490061Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7490323Z [2023-01-11 20:51:51,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25
2023-01-11T21:01:51.7490582Z [2023-01-11 20:51:53,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25
2023-01-11T21:01:51.7490587Z 
2023-01-11T21:01:51.7490680Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7490736Z import torch
2023-01-11T21:01:51.7490804Z import random
2023-01-11T21:01:51.7490916Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7491035Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7491041Z 
2023-01-11T21:01:51.7491116Z aten = torch.ops.aten
2023-01-11T21:01:51.7491249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7491342Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7491348Z 
2023-01-11T21:01:51.7491352Z 
2023-01-11T21:01:51.7491483Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7491676Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7491791Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.7491894Z                        const float* __restrict__ in_ptr0)
2023-01-11T21:01:51.7491955Z {
2023-01-11T21:01:51.7492035Z     for(long i0=0; i0<512; i0+=1)
2023-01-11T21:01:51.7492096Z     {
2023-01-11T21:01:51.7492226Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7492343Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7492424Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7492552Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.7492632Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.7492724Z         tmp4.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7492785Z     }
2023-01-11T21:01:51.7492870Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7492939Z     for(long i0=4096; i0<4096; i0+=1)
2023-01-11T21:01:51.7492999Z     {
2023-01-11T21:01:51.7493080Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7493173Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7493252Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7493344Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.7493421Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.7493489Z         in_out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.7493548Z     }
2023-01-11T21:01:51.7493606Z }
2023-01-11T21:01:51.7493682Z ''')
2023-01-11T21:01:51.7493687Z 
2023-01-11T21:01:51.7493691Z 
2023-01-11T21:01:51.7493777Z async_compile.wait(globals())
2023-01-11T21:01:51.7493847Z del async_compile
2023-01-11T21:01:51.7493852Z 
2023-01-11T21:01:51.7493919Z def call(args):
2023-01-11T21:01:51.7493975Z     arg0_1, = args
2023-01-11T21:01:51.7494082Z     args.clear()
2023-01-11T21:01:51.7494281Z     buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7494396Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2023-01-11T21:01:51.7494569Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.7494680Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2023-01-11T21:01:51.7494685Z 
2023-01-11T21:01:51.7494690Z 
2023-01-11T21:01:51.7494766Z if __name__ == "__main__":
2023-01-11T21:01:51.7494879Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7494987Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7495189Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7495293Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7495298Z 
2023-01-11T21:01:51.7495363Z ok (1.532s)
2023-01-11T21:01:51.7495814Z   test_as_strided_scatter_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7495940Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7496193Z [2023-01-11 20:51:53,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26
2023-01-11T21:01:51.7496452Z [2023-01-11 20:51:54,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26
2023-01-11T21:01:51.7496458Z 
2023-01-11T21:01:51.7496550Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7496619Z import torch
2023-01-11T21:01:51.7496675Z import random
2023-01-11T21:01:51.7496790Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7496911Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7496917Z 
2023-01-11T21:01:51.7496993Z aten = torch.ops.aten
2023-01-11T21:01:51.7497127Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7497222Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7497228Z 
2023-01-11T21:01:51.7497232Z 
2023-01-11T21:01:51.7497364Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7497565Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7497670Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7497771Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7497867Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7497927Z {
2023-01-11T21:01:51.7498008Z     for(long i0=0; i0<1280; i0+=1)
2023-01-11T21:01:51.7498068Z     {
2023-01-11T21:01:51.7498198Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7498317Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:51.7498398Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7498528Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2023-01-11T21:01:51.7498608Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.7498694Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7498755Z     }
2023-01-11T21:01:51.7498839Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7498908Z     for(long i0=10240; i0<10240; i0+=1)
2023-01-11T21:01:51.7498968Z     {
2023-01-11T21:01:51.7499046Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7499141Z         auto tmp1 = static_cast<float>(8);
2023-01-11T21:01:51.7499220Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7499318Z         auto tmp3 = static_cast<float>(10);
2023-01-11T21:01:51.7499396Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.7499460Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.7499551Z     }
2023-01-11T21:01:51.7499624Z     #pragma GCC ivdep
2023-01-11T21:01:51.7499705Z     for(long i0=0; i0<5120; i0+=1)
2023-01-11T21:01:51.7499764Z     {
2023-01-11T21:01:51.7499825Z         {
2023-01-11T21:01:51.7499887Z             {
2023-01-11T21:01:51.7499994Z                 auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.7500098Z                 auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7500183Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7500282Z                 auto tmp3 = static_cast<float>(4);
2023-01-11T21:01:51.7500409Z                 auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:51.7500488Z                 out_ptr0[2*i0] = tmp4;
2023-01-11T21:01:51.7500551Z             }
2023-01-11T21:01:51.7500602Z         }
2023-01-11T21:01:51.7500661Z     }
2023-01-11T21:01:51.7500718Z }
2023-01-11T21:01:51.7500795Z ''')
2023-01-11T21:01:51.7500800Z 
2023-01-11T21:01:51.7500804Z 
2023-01-11T21:01:51.7500890Z async_compile.wait(globals())
2023-01-11T21:01:51.7500961Z del async_compile
2023-01-11T21:01:51.7500967Z 
2023-01-11T21:01:51.7501036Z def call(args):
2023-01-11T21:01:51.7501096Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7501164Z     args.clear()
2023-01-11T21:01:51.7501370Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7501530Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7501596Z     del arg0_1
2023-01-11T21:01:51.7501660Z     del arg1_1
2023-01-11T21:01:51.7501728Z     return (buf0, )
2023-01-11T21:01:51.7501733Z 
2023-01-11T21:01:51.7501737Z 
2023-01-11T21:01:51.7501798Z if __name__ == "__main__":
2023-01-11T21:01:51.7501911Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7502031Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7502237Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7502435Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7502552Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7502557Z 
2023-01-11T21:01:51.7502793Z ok (1.534s)
2023-01-11T21:01:51.7503266Z   test_avg_pool2d1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7503426Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7503669Z [2023-01-11 20:51:54,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27
2023-01-11T21:01:51.7503957Z [2023-01-11 20:51:56,379] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27
2023-01-11T21:01:51.7503963Z 
2023-01-11T21:01:51.7504092Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7504238Z import torch
2023-01-11T21:01:51.7504337Z import random
2023-01-11T21:01:51.7504478Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7504657Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7504663Z 
2023-01-11T21:01:51.7504770Z aten = torch.ops.aten
2023-01-11T21:01:51.7504891Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7505009Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7505015Z 
2023-01-11T21:01:51.7505019Z 
2023-01-11T21:01:51.7505182Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7505422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7505566Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7505693Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7505787Z {
2023-01-11T21:01:51.7505913Z     #pragma GCC ivdep
2023-01-11T21:01:51.7506015Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7506102Z     {
2023-01-11T21:01:51.7506206Z         #pragma GCC ivdep
2023-01-11T21:01:51.7506325Z         for(long i1=0; i1<7; i1+=1)
2023-01-11T21:01:51.7506451Z         {
2023-01-11T21:01:51.7506580Z             #pragma GCC ivdep
2023-01-11T21:01:51.7506651Z             for(long i2=0; i2<7; i2+=1)
2023-01-11T21:01:51.7506744Z             {
2023-01-11T21:01:51.7506841Z                 {
2023-01-11T21:01:51.7506959Z                     {
2023-01-11T21:01:51.7507107Z                         auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7507246Z                         auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7507387Z                         auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7507527Z                         auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7507627Z                         auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7507771Z                         auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7507914Z                         auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7508054Z                         auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7508220Z                         auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.7508343Z                         auto tmp2 = tmp1 + tmp0;
2023-01-11T21:01:51.7508463Z                         auto tmp4 = tmp3 + tmp2;
2023-01-11T21:01:51.7508541Z                         auto tmp6 = tmp5 + tmp4;
2023-01-11T21:01:51.7508696Z                         auto tmp8 = tmp7 + tmp6;
2023-01-11T21:01:51.7508814Z                         auto tmp10 = tmp9 + tmp8;
2023-01-11T21:01:51.7508938Z                         auto tmp12 = tmp11 + tmp10;
2023-01-11T21:01:51.7509061Z                         auto tmp14 = tmp13 + tmp12;
2023-01-11T21:01:51.7509189Z                         auto tmp16 = tmp15 + tmp14;
2023-01-11T21:01:51.7509354Z                         auto tmp17 = static_cast<float>(0.1111111111111111);
2023-01-11T21:01:51.7509478Z                         auto tmp18 = tmp16 * tmp17;
2023-01-11T21:01:51.7509568Z                         out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18;
2023-01-11T21:01:51.7509662Z                     }
2023-01-11T21:01:51.7509755Z                 }
2023-01-11T21:01:51.7509846Z             }
2023-01-11T21:01:51.7509936Z         }
2023-01-11T21:01:51.7510029Z     }
2023-01-11T21:01:51.7510076Z }
2023-01-11T21:01:51.7510182Z ''')
2023-01-11T21:01:51.7510189Z 
2023-01-11T21:01:51.7510193Z 
2023-01-11T21:01:51.7510327Z async_compile.wait(globals())
2023-01-11T21:01:51.7510426Z del async_compile
2023-01-11T21:01:51.7510431Z 
2023-01-11T21:01:51.7510528Z def call(args):
2023-01-11T21:01:51.7510655Z     arg0_1, = args
2023-01-11T21:01:51.7510753Z     args.clear()
2023-01-11T21:01:51.7511006Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7511129Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7511225Z     del arg0_1
2023-01-11T21:01:51.7511323Z     return (buf0, )
2023-01-11T21:01:51.7511327Z 
2023-01-11T21:01:51.7511331Z 
2023-01-11T21:01:51.7511452Z if __name__ == "__main__":
2023-01-11T21:01:51.7511595Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7511746Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7511996Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7512139Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7512144Z 
2023-01-11T21:01:51.7512197Z ok (1.565s)
2023-01-11T21:01:51.7512665Z   test_avg_pool2d2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7512969Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7513273Z [2023-01-11 20:51:56,437] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28
2023-01-11T21:01:51.7513586Z [2023-01-11 20:51:57,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28
2023-01-11T21:01:51.7513593Z 
2023-01-11T21:01:51.7513744Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7513850Z import torch
2023-01-11T21:01:51.7513947Z import random
2023-01-11T21:01:51.7514088Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7514197Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7514202Z 
2023-01-11T21:01:51.7514306Z aten = torch.ops.aten
2023-01-11T21:01:51.7514470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7514589Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7514594Z 
2023-01-11T21:01:51.7514598Z 
2023-01-11T21:01:51.7514778Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7515021Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7515166Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7515294Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7515342Z {
2023-01-11T21:01:51.7515447Z     #pragma GCC ivdep
2023-01-11T21:01:51.7515559Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.7515648Z     {
2023-01-11T21:01:51.7515755Z         #pragma GCC ivdep
2023-01-11T21:01:51.7515911Z         for(long i1=0; i1<27; i1+=1)
2023-01-11T21:01:51.7516036Z         {
2023-01-11T21:01:51.7516102Z             #pragma GCC ivdep
2023-01-11T21:01:51.7516211Z             for(long i2=0; i2<27; i2+=1)
2023-01-11T21:01:51.7516303Z             {
2023-01-11T21:01:51.7516394Z                 {
2023-01-11T21:01:51.7516486Z                     {
2023-01-11T21:01:51.7516624Z                         auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7516727Z                         auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7516874Z                         auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517034Z                         auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517175Z                         auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517313Z                         auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517454Z                         auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517594Z                         auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517736Z                         auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.7517865Z                         auto tmp2 = tmp1 + tmp0;
2023-01-11T21:01:51.7517947Z                         auto tmp4 = tmp3 + tmp2;
2023-01-11T21:01:51.7518068Z                         auto tmp6 = tmp5 + tmp4;
2023-01-11T21:01:51.7518233Z                         auto tmp8 = tmp7 + tmp6;
2023-01-11T21:01:51.7518359Z                         auto tmp10 = tmp9 + tmp8;
2023-01-11T21:01:51.7518480Z                         auto tmp12 = tmp11 + tmp10;
2023-01-11T21:01:51.7518601Z                         auto tmp14 = tmp13 + tmp12;
2023-01-11T21:01:51.7518722Z                         auto tmp16 = tmp15 + tmp14;
2023-01-11T21:01:51.7518827Z                         auto tmp17 = static_cast<float>(0.1111111111111111);
2023-01-11T21:01:51.7518955Z                         auto tmp18 = tmp16 * tmp17;
2023-01-11T21:01:51.7519085Z                         out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18;
2023-01-11T21:01:51.7519214Z                     }
2023-01-11T21:01:51.7519328Z                 }
2023-01-11T21:01:51.7519419Z             }
2023-01-11T21:01:51.7519509Z         }
2023-01-11T21:01:51.7519556Z     }
2023-01-11T21:01:51.7519641Z }
2023-01-11T21:01:51.7519786Z ''')
2023-01-11T21:01:51.7519793Z 
2023-01-11T21:01:51.7519797Z 
2023-01-11T21:01:51.7519916Z async_compile.wait(globals())
2023-01-11T21:01:51.7520015Z del async_compile
2023-01-11T21:01:51.7520020Z 
2023-01-11T21:01:51.7520144Z def call(args):
2023-01-11T21:01:51.7520258Z     arg0_1, = args
2023-01-11T21:01:51.7520316Z     args.clear()
2023-01-11T21:01:51.7520566Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7520734Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7520828Z     del arg0_1
2023-01-11T21:01:51.7520926Z     return (buf0, )
2023-01-11T21:01:51.7520931Z 
2023-01-11T21:01:51.7520935Z 
2023-01-11T21:01:51.7521040Z if __name__ == "__main__":
2023-01-11T21:01:51.7521187Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7521338Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7521556Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7521710Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7521716Z 
2023-01-11T21:01:51.7521818Z ok (1.768s)
2023-01-11T21:01:51.7522287Z   test_avg_pool2d3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7522441Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7522726Z [2023-01-11 20:51:58,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29
2023-01-11T21:01:51.7523022Z [2023-01-11 20:51:59,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29
2023-01-11T21:01:51.7523028Z 
2023-01-11T21:01:51.7523184Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7523282Z import torch
2023-01-11T21:01:51.7523339Z import random
2023-01-11T21:01:51.7523680Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7523831Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7523836Z 
2023-01-11T21:01:51.7523944Z aten = torch.ops.aten
2023-01-11T21:01:51.7524105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7524223Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7524228Z 
2023-01-11T21:01:51.7524233Z 
2023-01-11T21:01:51.7524398Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7524630Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7524738Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7524873Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7524984Z {
2023-01-11T21:01:51.7525090Z     #pragma GCC ivdep
2023-01-11T21:01:51.7525198Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.7525286Z     {
2023-01-11T21:01:51.7525390Z         #pragma GCC ivdep
2023-01-11T21:01:51.7525459Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.7525547Z         {
2023-01-11T21:01:51.7525675Z             {
2023-01-11T21:01:51.7525766Z                 {
2023-01-11T21:01:51.7525981Z                     auto tmp0 = static_cast<long>((-1) + (2*i0));
2023-01-11T21:01:51.7526111Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7526230Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7526319Z                     auto tmp3 = static_cast<long>(8);
2023-01-11T21:01:51.7526438Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7526614Z                     auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:51.7526818Z                     auto tmp6 = static_cast<long>((-1) + (2*i1));
2023-01-11T21:01:51.7526936Z                     auto tmp7 = tmp6 >= tmp1;
2023-01-11T21:01:51.7527090Z                     auto tmp8 = tmp6 < tmp3;
2023-01-11T21:01:51.7527233Z                     auto tmp9 = tmp7 & tmp8;
2023-01-11T21:01:51.7527313Z                     auto tmp10 = tmp5 & tmp9;
2023-01-11T21:01:51.7527424Z                     float tmp11 = 0.0;
2023-01-11T21:01:51.7527525Z                     if(tmp10)
2023-01-11T21:01:51.7527627Z                     {
2023-01-11T21:01:51.7527860Z                         auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7527968Z                         tmp11 = tmp12;
2023-01-11T21:01:51.7528061Z                     }
2023-01-11T21:01:51.7528154Z                     auto tmp13 = static_cast<long>(2*i1);
2023-01-11T21:01:51.7528276Z                     auto tmp14 = tmp13 >= tmp1;
2023-01-11T21:01:51.7528417Z                     auto tmp15 = tmp13 < tmp3;
2023-01-11T21:01:51.7528537Z                     auto tmp16 = tmp14 & tmp15;
2023-01-11T21:01:51.7528664Z                     auto tmp17 = tmp5 & tmp16;
2023-01-11T21:01:51.7528777Z                     float tmp18 = 0.0;
2023-01-11T21:01:51.7528877Z                     if(tmp17)
2023-01-11T21:01:51.7528932Z                     {
2023-01-11T21:01:51.7529130Z                         auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7529235Z                         tmp18 = tmp19;
2023-01-11T21:01:51.7529330Z                     }
2023-01-11T21:01:51.7529473Z                     auto tmp20 = tmp18 + tmp11;
2023-01-11T21:01:51.7529618Z                     auto tmp21 = static_cast<long>(1 + (2*i1));
2023-01-11T21:01:51.7529738Z                     auto tmp22 = tmp21 >= tmp1;
2023-01-11T21:01:51.7529816Z                     auto tmp23 = tmp21 < tmp3;
2023-01-11T21:01:51.7529935Z                     auto tmp24 = tmp22 & tmp23;
2023-01-11T21:01:51.7530087Z                     auto tmp25 = tmp5 & tmp24;
2023-01-11T21:01:51.7530194Z                     float tmp26 = 0.0;
2023-01-11T21:01:51.7530295Z                     if(tmp25)
2023-01-11T21:01:51.7530391Z                     {
2023-01-11T21:01:51.7530618Z                         auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7530686Z                         tmp26 = tmp27;
2023-01-11T21:01:51.7530783Z                     }
2023-01-11T21:01:51.7530901Z                     auto tmp28 = tmp26 + tmp20;
2023-01-11T21:01:51.7531034Z                     auto tmp29 = static_cast<long>(2*i0);
2023-01-11T21:01:51.7531154Z                     auto tmp30 = tmp29 >= tmp1;
2023-01-11T21:01:51.7531273Z                     auto tmp31 = tmp29 < tmp3;
2023-01-11T21:01:51.7531391Z                     auto tmp32 = tmp30 & tmp31;
2023-01-11T21:01:51.7531515Z                     auto tmp33 = tmp32 & tmp9;
2023-01-11T21:01:51.7531584Z                     float tmp34 = 0.0;
2023-01-11T21:01:51.7531709Z                     if(tmp33)
2023-01-11T21:01:51.7531803Z                     {
2023-01-11T21:01:51.7532001Z                         auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7532137Z                         tmp34 = tmp35;
2023-01-11T21:01:51.7532232Z                     }
2023-01-11T21:01:51.7532350Z                     auto tmp36 = tmp34 + tmp28;
2023-01-11T21:01:51.7532429Z                     auto tmp37 = tmp32 & tmp16;
2023-01-11T21:01:51.7532544Z                     float tmp38 = 0.0;
2023-01-11T21:01:51.7532646Z                     if(tmp37)
2023-01-11T21:01:51.7532758Z                     {
2023-01-11T21:01:51.7532892Z                         auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2023-01-11T21:01:51.7532996Z                         tmp38 = tmp39;
2023-01-11T21:01:51.7533089Z                     }
2023-01-11T21:01:51.7533166Z                     auto tmp40 = tmp38 + tmp36;
2023-01-11T21:01:51.7533282Z                     auto tmp41 = tmp32 & tmp24;
2023-01-11T21:01:51.7533432Z                     float tmp42 = 0.0;
2023-01-11T21:01:51.7533530Z                     if(tmp41)
2023-01-11T21:01:51.7533623Z                     {
2023-01-11T21:01:51.7533800Z                         auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7533908Z                         tmp42 = tmp43;
2023-01-11T21:01:51.7533961Z                     }
2023-01-11T21:01:51.7534111Z                     auto tmp44 = tmp42 + tmp40;
2023-01-11T21:01:51.7534254Z                     auto tmp45 = static_cast<long>(1 + (2*i0));
2023-01-11T21:01:51.7534371Z                     auto tmp46 = tmp45 >= tmp1;
2023-01-11T21:01:51.7534489Z                     auto tmp47 = tmp45 < tmp3;
2023-01-11T21:01:51.7534607Z                     auto tmp48 = tmp46 & tmp47;
2023-01-11T21:01:51.7534724Z                     auto tmp49 = tmp48 & tmp9;
2023-01-11T21:01:51.7534793Z                     float tmp50 = 0.0;
2023-01-11T21:01:51.7534910Z                     if(tmp49)
2023-01-11T21:01:51.7535007Z                     {
2023-01-11T21:01:51.7535149Z                         auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7535255Z                         tmp50 = tmp51;
2023-01-11T21:01:51.7535350Z                     }
2023-01-11T21:01:51.7535469Z                     auto tmp52 = tmp50 + tmp44;
2023-01-11T21:01:51.7535547Z                     auto tmp53 = tmp48 & tmp16;
2023-01-11T21:01:51.7535654Z                     float tmp54 = 0.0;
2023-01-11T21:01:51.7535753Z                     if(tmp53)
2023-01-11T21:01:51.7535862Z                     {
2023-01-11T21:01:51.7536039Z                         auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7536145Z                         tmp54 = tmp55;
2023-01-11T21:01:51.7536238Z                     }
2023-01-11T21:01:51.7536316Z                     auto tmp56 = tmp54 + tmp52;
2023-01-11T21:01:51.7536429Z                     auto tmp57 = tmp48 & tmp24;
2023-01-11T21:01:51.7536536Z                     float tmp58 = 0.0;
2023-01-11T21:01:51.7536638Z                     if(tmp57)
2023-01-11T21:01:51.7536731Z                     {
2023-01-11T21:01:51.7536892Z                         auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7536999Z                         tmp58 = tmp59;
2023-01-11T21:01:51.7537052Z                     }
2023-01-11T21:01:51.7537168Z                     auto tmp60 = tmp58 + tmp56;
2023-01-11T21:01:51.7537316Z                     auto tmp61 = static_cast<float>(0.1111111111111111);
2023-01-11T21:01:51.7537435Z                     auto tmp62 = tmp60 * tmp61;
2023-01-11T21:01:51.7537556Z                     out_ptr0[i1 + (4*i0)] = tmp62;
2023-01-11T21:01:51.7537650Z                 }
2023-01-11T21:01:51.7537748Z             }
2023-01-11T21:01:51.7537797Z         }
2023-01-11T21:01:51.7537904Z     }
2023-01-11T21:01:51.7538027Z }
2023-01-11T21:01:51.7538141Z ''')
2023-01-11T21:01:51.7538147Z 
2023-01-11T21:01:51.7538152Z 
2023-01-11T21:01:51.7538269Z async_compile.wait(globals())
2023-01-11T21:01:51.7538372Z del async_compile
2023-01-11T21:01:51.7538377Z 
2023-01-11T21:01:51.7538453Z def call(args):
2023-01-11T21:01:51.7598751Z     arg0_1, = args
2023-01-11T21:01:51.7598849Z     args.clear()
2023-01-11T21:01:51.7599132Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7599261Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7599320Z     del arg0_1
2023-01-11T21:01:51.7599383Z     return (buf0, )
2023-01-11T21:01:51.7599391Z 
2023-01-11T21:01:51.7599395Z 
2023-01-11T21:01:51.7599462Z if __name__ == "__main__":
2023-01-11T21:01:51.7599567Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7599683Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7599887Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7599986Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7600162Z 
2023-01-11T21:01:51.7600221Z ok (1.600s)
2023-01-11T21:01:51.7600697Z   test_avg_pool2d4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7600819Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7601074Z [2023-01-11 20:51:59,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30
2023-01-11T21:01:51.7601332Z [2023-01-11 20:52:01,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30
2023-01-11T21:01:51.7601337Z 
2023-01-11T21:01:51.7601418Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7601479Z import torch
2023-01-11T21:01:51.7601539Z import random
2023-01-11T21:01:51.7601648Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7601760Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7601765Z 
2023-01-11T21:01:51.7601834Z aten = torch.ops.aten
2023-01-11T21:01:51.7601962Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7602044Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7602050Z 
2023-01-11T21:01:51.7602054Z 
2023-01-11T21:01:51.7602175Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7602371Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7602481Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7602572Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7602624Z {
2023-01-11T21:01:51.7602691Z     #pragma GCC ivdep
2023-01-11T21:01:51.7602762Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.7602809Z     {
2023-01-11T21:01:51.7602876Z         #pragma GCC ivdep
2023-01-11T21:01:51.7602951Z         for(long i1=0; i1<55; i1+=1)
2023-01-11T21:01:51.7603004Z         {
2023-01-11T21:01:51.7603073Z             #pragma GCC ivdep
2023-01-11T21:01:51.7603147Z             for(long i2=0; i2<55; i2+=1)
2023-01-11T21:01:51.7603202Z             {
2023-01-11T21:01:51.7603253Z                 {
2023-01-11T21:01:51.7603309Z                     {
2023-01-11T21:01:51.7603664Z                         auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7603795Z                         auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7603901Z                         auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604006Z                         auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604108Z                         auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604202Z                         auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604310Z                         auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604411Z                         auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604510Z                         auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.7604595Z                         auto tmp2 = tmp1 + tmp0;
2023-01-11T21:01:51.7604679Z                         auto tmp4 = tmp3 + tmp2;
2023-01-11T21:01:51.7604760Z                         auto tmp6 = tmp5 + tmp4;
2023-01-11T21:01:51.7604842Z                         auto tmp8 = tmp7 + tmp6;
2023-01-11T21:01:51.7604922Z                         auto tmp10 = tmp9 + tmp8;
2023-01-11T21:01:51.7605008Z                         auto tmp12 = tmp11 + tmp10;
2023-01-11T21:01:51.7605092Z                         auto tmp14 = tmp13 + tmp12;
2023-01-11T21:01:51.7605172Z                         auto tmp16 = tmp15 + tmp14;
2023-01-11T21:01:51.7605349Z                         auto tmp17 = static_cast<float>(0.1111111111111111);
2023-01-11T21:01:51.7605432Z                         auto tmp18 = tmp16 * tmp17;
2023-01-11T21:01:51.7605526Z                         out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18;
2023-01-11T21:01:51.7605613Z                     }
2023-01-11T21:01:51.7605671Z                 }
2023-01-11T21:01:51.7605726Z             }
2023-01-11T21:01:51.7605779Z         }
2023-01-11T21:01:51.7605831Z     }
2023-01-11T21:01:51.7605881Z }
2023-01-11T21:01:51.7605954Z ''')
2023-01-11T21:01:51.7605960Z 
2023-01-11T21:01:51.7605964Z 
2023-01-11T21:01:51.7606041Z async_compile.wait(globals())
2023-01-11T21:01:51.7606104Z del async_compile
2023-01-11T21:01:51.7606109Z 
2023-01-11T21:01:51.7606168Z def call(args):
2023-01-11T21:01:51.7606227Z     arg0_1, = args
2023-01-11T21:01:51.7606289Z     args.clear()
2023-01-11T21:01:51.7606502Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7606629Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7606686Z     del arg0_1
2023-01-11T21:01:51.7606742Z     return (buf0, )
2023-01-11T21:01:51.7606747Z 
2023-01-11T21:01:51.7606751Z 
2023-01-11T21:01:51.7606821Z if __name__ == "__main__":
2023-01-11T21:01:51.7606925Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7607040Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7607259Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7607359Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7607364Z 
2023-01-11T21:01:51.7607420Z ok (1.617s)
2023-01-11T21:01:51.7607850Z   test_avg_pool2d5_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7607969Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7608215Z [2023-01-11 20:52:01,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31
2023-01-11T21:01:51.7608468Z [2023-01-11 20:52:02,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31
2023-01-11T21:01:51.7608473Z 
2023-01-11T21:01:51.7608557Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7608618Z import torch
2023-01-11T21:01:51.7608677Z import random
2023-01-11T21:01:51.7608784Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7608895Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7608900Z 
2023-01-11T21:01:51.7608973Z aten = torch.ops.aten
2023-01-11T21:01:51.7609093Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7609184Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7609189Z 
2023-01-11T21:01:51.7609193Z 
2023-01-11T21:01:51.7609324Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7609526Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7609643Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7609740Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7609799Z {
2023-01-11T21:01:51.7609875Z     #pragma GCC ivdep
2023-01-11T21:01:51.7609941Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.7610014Z     {
2023-01-11T21:01:51.7610089Z         #pragma GCC ivdep
2023-01-11T21:01:51.7610169Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.7610230Z         {
2023-01-11T21:01:51.7610291Z             {
2023-01-11T21:01:51.7610342Z                 {
2023-01-11T21:01:51.7610509Z                     auto tmp0 = static_cast<long>((-1) + (2*i0));
2023-01-11T21:01:51.7610608Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7610734Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7610833Z                     auto tmp3 = static_cast<long>(8);
2023-01-11T21:01:51.7610922Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7611038Z                     auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:51.7611194Z                     auto tmp6 = static_cast<long>((-1) + (2*i1));
2023-01-11T21:01:51.7611284Z                     auto tmp7 = tmp6 >= tmp1;
2023-01-11T21:01:51.7611370Z                     auto tmp8 = tmp6 < tmp3;
2023-01-11T21:01:51.7611458Z                     auto tmp9 = tmp7 & tmp8;
2023-01-11T21:01:51.7611548Z                     auto tmp10 = tmp5 & tmp9;
2023-01-11T21:01:51.7611627Z                     float tmp11 = 0.0;
2023-01-11T21:01:51.7611699Z                     if(tmp10)
2023-01-11T21:01:51.7611751Z                     {
2023-01-11T21:01:51.7611923Z                         auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7612002Z                         tmp11 = tmp12;
2023-01-11T21:01:51.7612065Z                     }
2023-01-11T21:01:51.7612170Z                     auto tmp13 = static_cast<long>(2*i1);
2023-01-11T21:01:51.7612262Z                     auto tmp14 = tmp13 >= tmp1;
2023-01-11T21:01:51.7612353Z                     auto tmp15 = tmp13 < tmp3;
2023-01-11T21:01:51.7612445Z                     auto tmp16 = tmp14 & tmp15;
2023-01-11T21:01:51.7612630Z                     auto tmp17 = tmp5 & tmp16;
2023-01-11T21:01:51.7612711Z                     float tmp18 = 0.0;
2023-01-11T21:01:51.7612785Z                     if(tmp17)
2023-01-11T21:01:51.7612852Z                     {
2023-01-11T21:01:51.7613100Z                         auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7613204Z                         tmp18 = tmp19;
2023-01-11T21:01:51.7613299Z                     }
2023-01-11T21:01:51.7613420Z                     auto tmp20 = tmp18 + tmp11;
2023-01-11T21:01:51.7613574Z                     auto tmp21 = static_cast<long>(1 + (2*i1));
2023-01-11T21:01:51.7613744Z                     auto tmp22 = tmp21 >= tmp1;
2023-01-11T21:01:51.7613908Z                     auto tmp23 = tmp21 < tmp3;
2023-01-11T21:01:51.7614074Z                     auto tmp24 = tmp22 & tmp23;
2023-01-11T21:01:51.7614241Z                     auto tmp25 = tmp5 & tmp24;
2023-01-11T21:01:51.7614360Z                     float tmp26 = 0.0;
2023-01-11T21:01:51.7614429Z                     if(tmp25)
2023-01-11T21:01:51.7614495Z                     {
2023-01-11T21:01:51.7614673Z                         auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7614750Z                         tmp26 = tmp27;
2023-01-11T21:01:51.7614813Z                     }
2023-01-11T21:01:51.7614902Z                     auto tmp28 = tmp26 + tmp20;
2023-01-11T21:01:51.7615006Z                     auto tmp29 = static_cast<long>(2*i0);
2023-01-11T21:01:51.7615084Z                     auto tmp30 = tmp29 >= tmp1;
2023-01-11T21:01:51.7615172Z                     auto tmp31 = tmp29 < tmp3;
2023-01-11T21:01:51.7615264Z                     auto tmp32 = tmp30 & tmp31;
2023-01-11T21:01:51.7615352Z                     auto tmp33 = tmp32 & tmp9;
2023-01-11T21:01:51.7615431Z                     float tmp34 = 0.0;
2023-01-11T21:01:51.7615504Z                     if(tmp33)
2023-01-11T21:01:51.7615569Z                     {
2023-01-11T21:01:51.7615724Z                         auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7615800Z                         tmp34 = tmp35;
2023-01-11T21:01:51.7615863Z                     }
2023-01-11T21:01:51.7615951Z                     auto tmp36 = tmp34 + tmp28;
2023-01-11T21:01:51.7616039Z                     auto tmp37 = tmp32 & tmp16;
2023-01-11T21:01:51.7616116Z                     float tmp38 = 0.0;
2023-01-11T21:01:51.7616187Z                     if(tmp37)
2023-01-11T21:01:51.7616239Z                     {
2023-01-11T21:01:51.7616342Z                         auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2023-01-11T21:01:51.7616475Z                         tmp38 = tmp39;
2023-01-11T21:01:51.7616538Z                     }
2023-01-11T21:01:51.7616626Z                     auto tmp40 = tmp38 + tmp36;
2023-01-11T21:01:51.7616715Z                     auto tmp41 = tmp32 & tmp24;
2023-01-11T21:01:51.7616821Z                     float tmp42 = 0.0;
2023-01-11T21:01:51.7616881Z                     if(tmp41)
2023-01-11T21:01:51.7616947Z                     {
2023-01-11T21:01:51.7617051Z                         auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7617127Z                         tmp42 = tmp43;
2023-01-11T21:01:51.7617192Z                     }
2023-01-11T21:01:51.7617282Z                     auto tmp44 = tmp42 + tmp40;
2023-01-11T21:01:51.7617389Z                     auto tmp45 = static_cast<long>(1 + (2*i0));
2023-01-11T21:01:51.7617466Z                     auto tmp46 = tmp45 >= tmp1;
2023-01-11T21:01:51.7617557Z                     auto tmp47 = tmp45 < tmp3;
2023-01-11T21:01:51.7617645Z                     auto tmp48 = tmp46 & tmp47;
2023-01-11T21:01:51.7617736Z                     auto tmp49 = tmp48 & tmp9;
2023-01-11T21:01:51.7617814Z                     float tmp50 = 0.0;
2023-01-11T21:01:51.7617886Z                     if(tmp49)
2023-01-11T21:01:51.7617953Z                     {
2023-01-11T21:01:51.7618046Z                         auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7618123Z                         tmp50 = tmp51;
2023-01-11T21:01:51.7618187Z                     }
2023-01-11T21:01:51.7618275Z                     auto tmp52 = tmp50 + tmp44;
2023-01-11T21:01:51.7618362Z                     auto tmp53 = tmp48 & tmp16;
2023-01-11T21:01:51.7618441Z                     float tmp54 = 0.0;
2023-01-11T21:01:51.7618513Z                     if(tmp53)
2023-01-11T21:01:51.7618564Z                     {
2023-01-11T21:01:51.7618666Z                         auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7618742Z                         tmp54 = tmp55;
2023-01-11T21:01:51.7618807Z                     }
2023-01-11T21:01:51.7618896Z                     auto tmp56 = tmp54 + tmp52;
2023-01-11T21:01:51.7618984Z                     auto tmp57 = tmp48 & tmp24;
2023-01-11T21:01:51.7619062Z                     float tmp58 = 0.0;
2023-01-11T21:01:51.7619122Z                     if(tmp57)
2023-01-11T21:01:51.7619187Z                     {
2023-01-11T21:01:51.7619289Z                         auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7619363Z                         tmp58 = tmp59;
2023-01-11T21:01:51.7619430Z                     }
2023-01-11T21:01:51.7619518Z                     auto tmp60 = tmp58 + tmp56;
2023-01-11T21:01:51.7619596Z                     float tmp61 = 0.0;
2023-01-11T21:01:51.7619655Z                     if(tmp10)
2023-01-11T21:01:51.7619720Z                     {
2023-01-11T21:01:51.7619824Z                         auto tmp62 = static_cast<float>(1);
2023-01-11T21:01:51.7619899Z                         tmp61 = tmp62;
2023-01-11T21:01:51.7619965Z                     }
2023-01-11T21:01:51.7620046Z                     float tmp63 = 0.0;
2023-01-11T21:01:51.7620117Z                     if(tmp17)
2023-01-11T21:01:51.7620170Z                     {
2023-01-11T21:01:51.7620276Z                         auto tmp64 = static_cast<float>(1);
2023-01-11T21:01:51.7620352Z                         tmp63 = tmp64;
2023-01-11T21:01:51.7620417Z                     }
2023-01-11T21:01:51.7620508Z                     auto tmp65 = tmp63 + tmp61;
2023-01-11T21:01:51.7620585Z                     float tmp66 = 0.0;
2023-01-11T21:01:51.7620656Z                     if(tmp25)
2023-01-11T21:01:51.7620709Z                     {
2023-01-11T21:01:51.7620810Z                         auto tmp67 = static_cast<float>(1);
2023-01-11T21:01:51.7620886Z                         tmp66 = tmp67;
2023-01-11T21:01:51.7620949Z                     }
2023-01-11T21:01:51.7621038Z                     auto tmp68 = tmp66 + tmp65;
2023-01-11T21:01:51.7621116Z                     float tmp69 = 0.0;
2023-01-11T21:01:51.7621215Z                     if(tmp33)
2023-01-11T21:01:51.7621268Z                     {
2023-01-11T21:01:51.7621372Z                         auto tmp70 = static_cast<float>(1);
2023-01-11T21:01:51.7621449Z                         tmp69 = tmp70;
2023-01-11T21:01:51.7621541Z                     }
2023-01-11T21:01:51.7621632Z                     auto tmp71 = tmp69 + tmp68;
2023-01-11T21:01:51.7621710Z                     float tmp72 = 0.0;
2023-01-11T21:01:51.7621782Z                     if(tmp37)
2023-01-11T21:01:51.7621834Z                     {
2023-01-11T21:01:51.7621938Z                         auto tmp73 = static_cast<float>(1);
2023-01-11T21:01:51.7622013Z                         tmp72 = tmp73;
2023-01-11T21:01:51.7622077Z                     }
2023-01-11T21:01:51.7622166Z                     auto tmp74 = tmp72 + tmp71;
2023-01-11T21:01:51.7622242Z                     float tmp75 = 0.0;
2023-01-11T21:01:51.7622312Z                     if(tmp41)
2023-01-11T21:01:51.7622363Z                     {
2023-01-11T21:01:51.7622467Z                         auto tmp76 = static_cast<float>(1);
2023-01-11T21:01:51.7622542Z                         tmp75 = tmp76;
2023-01-11T21:01:51.7622606Z                     }
2023-01-11T21:01:51.7622698Z                     auto tmp77 = tmp75 + tmp74;
2023-01-11T21:01:51.7622775Z                     float tmp78 = 0.0;
2023-01-11T21:01:51.7622846Z                     if(tmp49)
2023-01-11T21:01:51.7622897Z                     {
2023-01-11T21:01:51.7623000Z                         auto tmp79 = static_cast<float>(1);
2023-01-11T21:01:51.7623076Z                         tmp78 = tmp79;
2023-01-11T21:01:51.7623140Z                     }
2023-01-11T21:01:51.7623229Z                     auto tmp80 = tmp78 + tmp77;
2023-01-11T21:01:51.7623307Z                     float tmp81 = 0.0;
2023-01-11T21:01:51.7623375Z                     if(tmp53)
2023-01-11T21:01:51.7623426Z                     {
2023-01-11T21:01:51.7623529Z                         auto tmp82 = static_cast<float>(1);
2023-01-11T21:01:51.7623603Z                         tmp81 = tmp82;
2023-01-11T21:01:51.7623668Z                     }
2023-01-11T21:01:51.7623756Z                     auto tmp83 = tmp81 + tmp80;
2023-01-11T21:01:51.7623833Z                     float tmp84 = 0.0;
2023-01-11T21:01:51.7623906Z                     if(tmp57)
2023-01-11T21:01:51.7623958Z                     {
2023-01-11T21:01:51.7624061Z                         auto tmp85 = static_cast<float>(1);
2023-01-11T21:01:51.7624135Z                         tmp84 = tmp85;
2023-01-11T21:01:51.7624198Z                     }
2023-01-11T21:01:51.7624287Z                     auto tmp86 = tmp84 + tmp83;
2023-01-11T21:01:51.7624374Z                     auto tmp87 = tmp60 / tmp86;
2023-01-11T21:01:51.7624466Z                     out_ptr0[i1 + (4*i0)] = tmp87;
2023-01-11T21:01:51.7624518Z                 }
2023-01-11T21:01:51.7624580Z             }
2023-01-11T21:01:51.7624641Z         }
2023-01-11T21:01:51.7624701Z     }
2023-01-11T21:01:51.7624760Z }
2023-01-11T21:01:51.7624843Z ''')
2023-01-11T21:01:51.7624850Z 
2023-01-11T21:01:51.7624854Z 
2023-01-11T21:01:51.7624943Z async_compile.wait(globals())
2023-01-11T21:01:51.7625003Z del async_compile
2023-01-11T21:01:51.7625008Z 
2023-01-11T21:01:51.7625079Z def call(args):
2023-01-11T21:01:51.7625148Z     arg0_1, = args
2023-01-11T21:01:51.7625218Z     args.clear()
2023-01-11T21:01:51.7625433Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7625570Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7625637Z     del arg0_1
2023-01-11T21:01:51.7625693Z     return (buf0, )
2023-01-11T21:01:51.7625698Z 
2023-01-11T21:01:51.7625715Z 
2023-01-11T21:01:51.7625777Z if __name__ == "__main__":
2023-01-11T21:01:51.7625890Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7626013Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7626224Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7626372Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7626377Z 
2023-01-11T21:01:51.7626442Z ok (1.629s)
2023-01-11T21:01:51.7626912Z   test_avg_pool2d6_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7627042Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7627288Z [2023-01-11 20:52:03,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32
2023-01-11T21:01:51.7627554Z [2023-01-11 20:52:04,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32
2023-01-11T21:01:51.7627559Z 
2023-01-11T21:01:51.7627652Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7627721Z import torch
2023-01-11T21:01:51.7627790Z import random
2023-01-11T21:01:51.7627905Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7628025Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7628030Z 
2023-01-11T21:01:51.7628105Z aten = torch.ops.aten
2023-01-11T21:01:51.7628224Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7628316Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7628321Z 
2023-01-11T21:01:51.7628325Z 
2023-01-11T21:01:51.7628457Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7628660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7628778Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7628877Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7628938Z {
2023-01-11T21:01:51.7629014Z     #pragma GCC ivdep
2023-01-11T21:01:51.7629084Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.7629145Z     {
2023-01-11T21:01:51.7629221Z         #pragma GCC ivdep
2023-01-11T21:01:51.7629299Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.7629360Z         {
2023-01-11T21:01:51.7629424Z             {
2023-01-11T21:01:51.7629475Z                 {
2023-01-11T21:01:51.7629643Z                     auto tmp0 = static_cast<long>((-1) + (2*i0));
2023-01-11T21:01:51.7629748Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7629838Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7629936Z                     auto tmp3 = static_cast<long>(8);
2023-01-11T21:01:51.7630026Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7630114Z                     auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:51.7630279Z                     auto tmp6 = static_cast<long>((-1) + (2*i1));
2023-01-11T21:01:51.7630357Z                     auto tmp7 = tmp6 >= tmp1;
2023-01-11T21:01:51.7630443Z                     auto tmp8 = tmp6 < tmp3;
2023-01-11T21:01:51.7630533Z                     auto tmp9 = tmp7 & tmp8;
2023-01-11T21:01:51.7630622Z                     auto tmp10 = tmp5 & tmp9;
2023-01-11T21:01:51.7630702Z                     float tmp11 = 0.0;
2023-01-11T21:01:51.7630776Z                     if(tmp10)
2023-01-11T21:01:51.7630845Z                     {
2023-01-11T21:01:51.7631003Z                         auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7631079Z                         tmp11 = tmp12;
2023-01-11T21:01:51.7631143Z                     }
2023-01-11T21:01:51.7631249Z                     auto tmp13 = static_cast<long>(2*i1);
2023-01-11T21:01:51.7631341Z                     auto tmp14 = tmp13 >= tmp1;
2023-01-11T21:01:51.7631433Z                     auto tmp15 = tmp13 < tmp3;
2023-01-11T21:01:51.7631524Z                     auto tmp16 = tmp14 & tmp15;
2023-01-11T21:01:51.7631601Z                     auto tmp17 = tmp5 & tmp16;
2023-01-11T21:01:51.7631679Z                     float tmp18 = 0.0;
2023-01-11T21:01:51.7631781Z                     if(tmp17)
2023-01-11T21:01:51.7631844Z                     {
2023-01-11T21:01:51.7632016Z                         auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7632131Z                         tmp18 = tmp19;
2023-01-11T21:01:51.7632197Z                     }
2023-01-11T21:01:51.7632276Z                     auto tmp20 = tmp18 + tmp11;
2023-01-11T21:01:51.7632385Z                     auto tmp21 = static_cast<long>(1 + (2*i1));
2023-01-11T21:01:51.7632476Z                     auto tmp22 = tmp21 >= tmp1;
2023-01-11T21:01:51.7632567Z                     auto tmp23 = tmp21 < tmp3;
2023-01-11T21:01:51.7632657Z                     auto tmp24 = tmp22 & tmp23;
2023-01-11T21:01:51.7632748Z                     auto tmp25 = tmp5 & tmp24;
2023-01-11T21:01:51.7632827Z                     float tmp26 = 0.0;
2023-01-11T21:01:51.7632972Z                     if(tmp25)
2023-01-11T21:01:51.7633039Z                     {
2023-01-11T21:01:51.7633216Z                         auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7633292Z                         tmp26 = tmp27;
2023-01-11T21:01:51.7633356Z                     }
2023-01-11T21:01:51.7633450Z                     auto tmp28 = tmp26 + tmp20;
2023-01-11T21:01:51.7633559Z                     auto tmp29 = static_cast<long>(2*i0);
2023-01-11T21:01:51.7633636Z                     auto tmp30 = tmp29 >= tmp1;
2023-01-11T21:01:51.7633726Z                     auto tmp31 = tmp29 < tmp3;
2023-01-11T21:01:51.7633816Z                     auto tmp32 = tmp30 & tmp31;
2023-01-11T21:01:51.7633906Z                     auto tmp33 = tmp32 & tmp9;
2023-01-11T21:01:51.7633987Z                     float tmp34 = 0.0;
2023-01-11T21:01:51.7634060Z                     if(tmp33)
2023-01-11T21:01:51.7634126Z                     {
2023-01-11T21:01:51.7634282Z                         auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7634360Z                         tmp34 = tmp35;
2023-01-11T21:01:51.7634428Z                     }
2023-01-11T21:01:51.7634518Z                     auto tmp36 = tmp34 + tmp28;
2023-01-11T21:01:51.7634607Z                     auto tmp37 = tmp32 & tmp16;
2023-01-11T21:01:51.7634688Z                     float tmp38 = 0.0;
2023-01-11T21:01:51.7634761Z                     if(tmp37)
2023-01-11T21:01:51.7634814Z                     {
2023-01-11T21:01:51.7634917Z                         auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2023-01-11T21:01:51.7634993Z                         tmp38 = tmp39;
2023-01-11T21:01:51.7635057Z                     }
2023-01-11T21:01:51.7635144Z                     auto tmp40 = tmp38 + tmp36;
2023-01-11T21:01:51.7635232Z                     auto tmp41 = tmp32 & tmp24;
2023-01-11T21:01:51.7635311Z                     float tmp42 = 0.0;
2023-01-11T21:01:51.7635369Z                     if(tmp41)
2023-01-11T21:01:51.7635434Z                     {
2023-01-11T21:01:51.7635537Z                         auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7635613Z                         tmp42 = tmp43;
2023-01-11T21:01:51.7635677Z                     }
2023-01-11T21:01:51.7635765Z                     auto tmp44 = tmp42 + tmp40;
2023-01-11T21:01:51.7635875Z                     auto tmp45 = static_cast<long>(1 + (2*i0));
2023-01-11T21:01:51.7635951Z                     auto tmp46 = tmp45 >= tmp1;
2023-01-11T21:01:51.7636043Z                     auto tmp47 = tmp45 < tmp3;
2023-01-11T21:01:51.7636129Z                     auto tmp48 = tmp46 & tmp47;
2023-01-11T21:01:51.7636216Z                     auto tmp49 = tmp48 & tmp9;
2023-01-11T21:01:51.7636294Z                     float tmp50 = 0.0;
2023-01-11T21:01:51.7636367Z                     if(tmp49)
2023-01-11T21:01:51.7636432Z                     {
2023-01-11T21:01:51.7636526Z                         auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7636603Z                         tmp50 = tmp51;
2023-01-11T21:01:51.7636667Z                     }
2023-01-11T21:01:51.7636750Z                     auto tmp52 = tmp50 + tmp44;
2023-01-11T21:01:51.7636876Z                     auto tmp53 = tmp48 & tmp16;
2023-01-11T21:01:51.7636955Z                     float tmp54 = 0.0;
2023-01-11T21:01:51.7637026Z                     if(tmp53)
2023-01-11T21:01:51.7637105Z                     {
2023-01-11T21:01:51.7637211Z                         auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7637287Z                         tmp54 = tmp55;
2023-01-11T21:01:51.7637353Z                     }
2023-01-11T21:01:51.7637441Z                     auto tmp56 = tmp54 + tmp52;
2023-01-11T21:01:51.7637529Z                     auto tmp57 = tmp48 & tmp24;
2023-01-11T21:01:51.7637606Z                     float tmp58 = 0.0;
2023-01-11T21:01:51.7637664Z                     if(tmp57)
2023-01-11T21:01:51.7637729Z                     {
2023-01-11T21:01:51.7637833Z                         auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.7637908Z                         tmp58 = tmp59;
2023-01-11T21:01:51.7637974Z                     }
2023-01-11T21:01:51.7638061Z                     auto tmp60 = tmp58 + tmp56;
2023-01-11T21:01:51.7638174Z                     auto tmp61 = static_cast<float>(0.3333333333333333);
2023-01-11T21:01:51.7638266Z                     auto tmp62 = tmp60 * tmp61;
2023-01-11T21:01:51.7638347Z                     out_ptr0[i1 + (4*i0)] = tmp62;
2023-01-11T21:01:51.7638410Z                 }
2023-01-11T21:01:51.7638470Z             }
2023-01-11T21:01:51.7638530Z         }
2023-01-11T21:01:51.7638588Z     }
2023-01-11T21:01:51.7638646Z }
2023-01-11T21:01:51.7638713Z ''')
2023-01-11T21:01:51.7638719Z 
2023-01-11T21:01:51.7638737Z 
2023-01-11T21:01:51.7638812Z async_compile.wait(globals())
2023-01-11T21:01:51.7638882Z del async_compile
2023-01-11T21:01:51.7638888Z 
2023-01-11T21:01:51.7638955Z def call(args):
2023-01-11T21:01:51.7639022Z     arg0_1, = args
2023-01-11T21:01:51.7639092Z     args.clear()
2023-01-11T21:01:51.7639305Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7639440Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7639495Z     del arg0_1
2023-01-11T21:01:51.7639565Z     return (buf0, )
2023-01-11T21:01:51.7639570Z 
2023-01-11T21:01:51.7639576Z 
2023-01-11T21:01:51.7639650Z if __name__ == "__main__":
2023-01-11T21:01:51.7639762Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7639882Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7640091Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7640196Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7640201Z 
2023-01-11T21:01:51.7640265Z ok (1.578s)
2023-01-11T21:01:51.7640693Z   test_avg_pool2d7_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7640822Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7641079Z [2023-01-11 20:52:04,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33
2023-01-11T21:01:51.7641304Z [2023-01-11 20:52:04,602] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2023-01-11T21:01:51.7641568Z [2023-01-11 20:52:04,605] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33
2023-01-11T21:01:51.7641573Z 
2023-01-11T21:01:51.7641665Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7641734Z import torch
2023-01-11T21:01:51.7641802Z import random
2023-01-11T21:01:51.7641914Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7642023Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7642028Z 
2023-01-11T21:01:51.7642150Z aten = torch.ops.aten
2023-01-11T21:01:51.7642281Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7642370Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7642375Z 
2023-01-11T21:01:51.7642379Z 
2023-01-11T21:01:51.7642494Z async_compile.wait(globals())
2023-01-11T21:01:51.7642566Z del async_compile
2023-01-11T21:01:51.7642571Z 
2023-01-11T21:01:51.7642640Z def call(args):
2023-01-11T21:01:51.7642707Z     arg0_1, = args
2023-01-11T21:01:51.7642763Z     args.clear()
2023-01-11T21:01:51.7642888Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2023-01-11T21:01:51.7642954Z     del arg0_1
2023-01-11T21:01:51.7643019Z     buf1 = buf0
2023-01-11T21:01:51.7643127Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2023-01-11T21:01:51.7643191Z     del buf0
2023-01-11T21:01:51.7643262Z     return (buf1, )
2023-01-11T21:01:51.7643267Z 
2023-01-11T21:01:51.7643270Z 
2023-01-11T21:01:51.7643331Z if __name__ == "__main__":
2023-01-11T21:01:51.7643625Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7643797Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7644023Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7644130Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7644135Z 
2023-01-11T21:01:51.7644202Z ok (0.030s)
2023-01-11T21:01:51.7644652Z   test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7644780Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7645036Z [2023-01-11 20:52:04,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34
2023-01-11T21:01:51.7645043Z 
2023-01-11T21:01:51.7645124Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7645195Z import torch
2023-01-11T21:01:51.7645263Z import random
2023-01-11T21:01:51.7645381Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7645501Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7645507Z 
2023-01-11T21:01:51.7645584Z aten = torch.ops.aten
2023-01-11T21:01:51.7645713Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7645803Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7645808Z 
2023-01-11T21:01:51.7645813Z 
2023-01-11T21:01:51.7645932Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7646137Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7646255Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7646357Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7646421Z {
2023-01-11T21:01:51.7646496Z     #pragma GCC ivdep
2023-01-11T21:01:51.7646576Z     for(long i0=0; i0<20; i0+=1)
2023-01-11T21:01:51.7646624Z     {
2023-01-11T21:01:51.7646702Z         #pragma GCC ivdep
2023-01-11T21:01:51.7646783Z         for(long i1=0; i1<15; i1+=1)
2023-01-11T21:01:51.7646846Z         {
2023-01-11T21:01:51.7646909Z             {
2023-01-11T21:01:51.7646972Z                 {
2023-01-11T21:01:51.7647133Z                     auto tmp0 = static_cast<int>((-1) + i0);
2023-01-11T21:01:51.7647280Z                     auto tmp1 = static_cast<int>((-1) + i1);
2023-01-11T21:01:51.7647447Z                     auto tmp2 = static_cast<int>(2 + i0);
2023-01-11T21:01:51.7647550Z                     auto tmp3 = static_cast<int>(2 + i1);
2023-01-11T21:01:51.7647649Z                     auto tmp4 = static_cast<int>(0);
2023-01-11T21:01:51.7647795Z                     auto tmp5 = (tmp4 != tmp4) ? tmp4 : std::max(tmp0, tmp4);
2023-01-11T21:01:51.7647982Z                     auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp1, tmp4);
2023-01-11T21:01:51.7648081Z                     auto tmp7 = static_cast<int>(20);
2023-01-11T21:01:51.7648246Z                     auto tmp8 = (tmp7 != tmp7) ? tmp7 : std::min(tmp2, tmp7);
2023-01-11T21:01:51.7648335Z                     auto tmp9 = static_cast<int>(15);
2023-01-11T21:01:51.7648461Z                     auto tmp10 = (tmp9 != tmp9) ? tmp9 : std::min(tmp3, tmp9);
2023-01-11T21:01:51.7648553Z                     auto tmp11 = tmp5 + tmp4;
2023-01-11T21:01:51.7648644Z                     auto tmp12 = tmp6 + tmp4;
2023-01-11T21:01:51.7648743Z                     auto tmp13 = static_cast<int>(1);
2023-01-11T21:01:51.7648840Z                     auto tmp14 = static_cast<int>(3);
2023-01-11T21:01:51.7648932Z                     auto tmp15 = tmp11 * tmp13;
2023-01-11T21:01:51.7649059Z                     auto tmp16 = tmp15 - tmp13;
2023-01-11T21:01:51.7649149Z                     auto tmp17 = tmp12 * tmp13;
2023-01-11T21:01:51.7649287Z                     auto tmp18 = tmp17 - tmp13;
2023-01-11T21:01:51.7649377Z                     auto tmp19 = tmp16 + tmp14;
2023-01-11T21:01:51.7649467Z                     auto tmp20 = tmp7 + tmp13;
2023-01-11T21:01:51.7649596Z                     auto tmp21 = (tmp20 != tmp20) ? tmp20 : std::min(tmp19, tmp20);
2023-01-11T21:01:51.7649687Z                     auto tmp22 = tmp18 + tmp14;
2023-01-11T21:01:51.7649778Z                     auto tmp23 = tmp9 + tmp13;
2023-01-11T21:01:51.7649891Z                     auto tmp24 = (tmp23 != tmp23) ? tmp23 : std::min(tmp22, tmp23);
2023-01-11T21:01:51.7650015Z                     auto tmp25 = (tmp4 != tmp4) ? tmp4 : std::max(tmp16, tmp4);
2023-01-11T21:01:51.7650134Z                     auto tmp26 = (tmp4 != tmp4) ? tmp4 : std::max(tmp18, tmp4);
2023-01-11T21:01:51.7650256Z                     auto tmp27 = (tmp7 != tmp7) ? tmp7 : std::min(tmp21, tmp7);
2023-01-11T21:01:51.7650378Z                     auto tmp28 = (tmp9 != tmp9) ? tmp9 : std::min(tmp24, tmp9);
2023-01-11T21:01:51.7650518Z                     auto tmp29 = tmp27 - tmp25;
2023-01-11T21:01:51.7650656Z                     auto tmp30 = tmp28 - tmp26;
2023-01-11T21:01:51.7650745Z                     auto tmp31 = tmp29 * tmp30;
2023-01-11T21:01:51.7650869Z                     auto tmp32 = tmp8 - tmp13;
2023-01-11T21:01:51.7650996Z                     auto tmp33 = (tmp32 != tmp32) ? tmp32 : std::min(tmp11, tmp32);
2023-01-11T21:01:51.7651131Z                     auto tmp34 = tmp10 - tmp13;
2023-01-11T21:01:51.7651260Z                     auto tmp35 = (tmp34 != tmp34) ? tmp34 : std::min(tmp12, tmp34);
2023-01-11T21:01:51.7651364Z                     auto tmp36 = in_ptr0[tmp35 + (15*tmp33)];
2023-01-11T21:01:51.7651454Z                     auto tmp37 = tmp36 / tmp31;
2023-01-11T21:01:51.7651544Z                     auto tmp38 = tmp11 < tmp8;
2023-01-11T21:01:51.7651631Z                     auto tmp39 = tmp12 < tmp10;
2023-01-11T21:01:51.7651707Z                     auto tmp40 = tmp38 & tmp39;
2023-01-11T21:01:51.7651815Z                     auto tmp41 = static_cast<float>(0.0);
2023-01-11T21:01:51.7651916Z                     auto tmp42 = tmp40 ? tmp37 : tmp41;
2023-01-11T21:01:51.7652006Z                     auto tmp43 = tmp6 + tmp13;
2023-01-11T21:01:51.7652096Z                     auto tmp44 = tmp43 * tmp13;
2023-01-11T21:01:51.7652230Z                     auto tmp45 = tmp44 - tmp13;
2023-01-11T21:01:51.7652317Z                     auto tmp46 = tmp45 + tmp14;
2023-01-11T21:01:51.7652443Z                     auto tmp47 = (tmp23 != tmp23) ? tmp23 : std::min(tmp46, tmp23);
2023-01-11T21:01:51.7652557Z                     auto tmp48 = (tmp4 != tmp4) ? tmp4 : std::max(tmp45, tmp4);
2023-01-11T21:01:51.7652678Z                     auto tmp49 = (tmp9 != tmp9) ? tmp9 : std::min(tmp47, tmp9);
2023-01-11T21:01:51.7652813Z                     auto tmp50 = tmp49 - tmp48;
2023-01-11T21:01:51.7652901Z                     auto tmp51 = tmp29 * tmp50;
2023-01-11T21:01:51.7653024Z                     auto tmp52 = (tmp34 != tmp34) ? tmp34 : std::min(tmp43, tmp34);
2023-01-11T21:01:51.7653159Z                     auto tmp53 = in_ptr0[tmp52 + (15*tmp33)];
2023-01-11T21:01:51.7653248Z                     auto tmp54 = tmp53 / tmp51;
2023-01-11T21:01:51.7653362Z                     auto tmp55 = tmp43 < tmp10;
2023-01-11T21:01:51.7653440Z                     auto tmp56 = tmp38 & tmp55;
2023-01-11T21:01:51.7653529Z                     auto tmp57 = tmp42 + tmp54;
2023-01-11T21:01:51.7653628Z                     auto tmp58 = tmp56 ? tmp57 : tmp42;
2023-01-11T21:01:51.7653725Z                     auto tmp59 = static_cast<int>(2);
2023-01-11T21:01:51.7653815Z                     auto tmp60 = tmp6 + tmp59;
2023-01-11T21:01:51.7653903Z                     auto tmp61 = tmp60 * tmp13;
2023-01-11T21:01:51.7654037Z                     auto tmp62 = tmp61 - tmp13;
2023-01-11T21:01:51.7654114Z                     auto tmp63 = tmp62 + tmp14;
2023-01-11T21:01:51.7654239Z                     auto tmp64 = (tmp23 != tmp23) ? tmp23 : std::min(tmp63, tmp23);
2023-01-11T21:01:51.7654366Z                     auto tmp65 = (tmp4 != tmp4) ? tmp4 : std::max(tmp62, tmp4);
2023-01-11T21:01:51.7654490Z                     auto tmp66 = (tmp9 != tmp9) ? tmp9 : std::min(tmp64, tmp9);
2023-01-11T21:01:51.7654626Z                     auto tmp67 = tmp66 - tmp65;
2023-01-11T21:01:51.7654713Z                     auto tmp68 = tmp29 * tmp67;
2023-01-11T21:01:51.7654839Z                     auto tmp69 = (tmp34 != tmp34) ? tmp34 : std::min(tmp60, tmp34);
2023-01-11T21:01:51.7654946Z                     auto tmp70 = in_ptr0[tmp69 + (15*tmp33)];
2023-01-11T21:01:51.7655022Z                     auto tmp71 = tmp70 / tmp68;
2023-01-11T21:01:51.7655110Z                     auto tmp72 = tmp60 < tmp10;
2023-01-11T21:01:51.7655198Z                     auto tmp73 = tmp38 & tmp72;
2023-01-11T21:01:51.7655286Z                     auto tmp74 = tmp58 + tmp71;
2023-01-11T21:01:51.7655385Z                     auto tmp75 = tmp73 ? tmp74 : tmp58;
2023-01-11T21:01:51.7655475Z                     auto tmp76 = tmp5 + tmp13;
2023-01-11T21:01:51.7655566Z                     auto tmp77 = tmp76 * tmp13;
2023-01-11T21:01:51.7655687Z                     auto tmp78 = tmp77 - tmp13;
2023-01-11T21:01:51.7655779Z                     auto tmp79 = tmp78 + tmp14;
2023-01-11T21:01:51.7655909Z                     auto tmp80 = (tmp20 != tmp20) ? tmp20 : std::min(tmp79, tmp20);
2023-01-11T21:01:51.7656031Z                     auto tmp81 = (tmp4 != tmp4) ? tmp4 : std::max(tmp78, tmp4);
2023-01-11T21:01:51.7656157Z                     auto tmp82 = (tmp7 != tmp7) ? tmp7 : std::min(tmp80, tmp7);
2023-01-11T21:01:51.7656291Z                     auto tmp83 = tmp82 - tmp81;
2023-01-11T21:01:51.7656379Z                     auto tmp84 = tmp83 * tmp30;
2023-01-11T21:01:51.7656503Z                     auto tmp85 = (tmp32 != tmp32) ? tmp32 : std::min(tmp76, tmp32);
2023-01-11T21:01:51.7656609Z                     auto tmp86 = in_ptr0[tmp35 + (15*tmp85)];
2023-01-11T21:01:51.7656686Z                     auto tmp87 = tmp86 / tmp84;
2023-01-11T21:01:51.7656778Z                     auto tmp88 = tmp76 < tmp8;
2023-01-11T21:01:51.7656866Z                     auto tmp89 = tmp88 & tmp39;
2023-01-11T21:01:51.7656953Z                     auto tmp90 = tmp75 + tmp87;
2023-01-11T21:01:51.7657053Z                     auto tmp91 = tmp89 ? tmp90 : tmp75;
2023-01-11T21:01:51.7657140Z                     auto tmp92 = tmp83 * tmp50;
2023-01-11T21:01:51.7657245Z                     auto tmp93 = in_ptr0[tmp52 + (15*tmp85)];
2023-01-11T21:01:51.7657321Z                     auto tmp94 = tmp93 / tmp92;
2023-01-11T21:01:51.7657407Z                     auto tmp95 = tmp88 & tmp55;
2023-01-11T21:01:51.7657496Z                     auto tmp96 = tmp91 + tmp94;
2023-01-11T21:01:51.7657595Z                     auto tmp97 = tmp95 ? tmp96 : tmp91;
2023-01-11T21:01:51.7657682Z                     auto tmp98 = tmp83 * tmp67;
2023-01-11T21:01:51.7657784Z                     auto tmp99 = in_ptr0[tmp69 + (15*tmp85)];
2023-01-11T21:01:51.7657877Z                     auto tmp100 = tmp99 / tmp98;
2023-01-11T21:01:51.7658018Z                     auto tmp101 = tmp88 & tmp72;
2023-01-11T21:01:51.7658110Z                     auto tmp102 = tmp97 + tmp100;
2023-01-11T21:01:51.7658242Z                     auto tmp103 = tmp101 ? tmp102 : tmp97;
2023-01-11T21:01:51.7658333Z                     auto tmp104 = tmp5 + tmp59;
2023-01-11T21:01:51.7658425Z                     auto tmp105 = tmp104 * tmp13;
2023-01-11T21:01:51.7658566Z                     auto tmp106 = tmp105 - tmp13;
2023-01-11T21:01:51.7658657Z                     auto tmp107 = tmp106 + tmp14;
2023-01-11T21:01:51.7658788Z                     auto tmp108 = (tmp20 != tmp20) ? tmp20 : std::min(tmp107, tmp20);
2023-01-11T21:01:51.7658903Z                     auto tmp109 = (tmp4 != tmp4) ? tmp4 : std::max(tmp106, tmp4);
2023-01-11T21:01:51.7659028Z                     auto tmp110 = (tmp7 != tmp7) ? tmp7 : std::min(tmp108, tmp7);
2023-01-11T21:01:51.7659170Z                     auto tmp111 = tmp110 - tmp109;
2023-01-11T21:01:51.7659261Z                     auto tmp112 = tmp111 * tmp30;
2023-01-11T21:01:51.7659392Z                     auto tmp113 = (tmp32 != tmp32) ? tmp32 : std::min(tmp104, tmp32);
2023-01-11T21:01:51.7659500Z                     auto tmp114 = in_ptr0[tmp35 + (15*tmp113)];
2023-01-11T21:01:51.7659595Z                     auto tmp115 = tmp114 / tmp112;
2023-01-11T21:01:51.7659685Z                     auto tmp116 = tmp104 < tmp8;
2023-01-11T21:01:51.7659764Z                     auto tmp117 = tmp116 & tmp39;
2023-01-11T21:01:51.7659854Z                     auto tmp118 = tmp103 + tmp115;
2023-01-11T21:01:51.7659955Z                     auto tmp119 = tmp117 ? tmp118 : tmp103;
2023-01-11T21:01:51.7660045Z                     auto tmp120 = tmp111 * tmp50;
2023-01-11T21:01:51.7660152Z                     auto tmp121 = in_ptr0[tmp52 + (15*tmp113)];
2023-01-11T21:01:51.7660243Z                     auto tmp122 = tmp121 / tmp120;
2023-01-11T21:01:51.7660332Z                     auto tmp123 = tmp116 & tmp55;
2023-01-11T21:01:51.7660413Z                     auto tmp124 = tmp119 + tmp122;
2023-01-11T21:01:51.7660513Z                     auto tmp125 = tmp123 ? tmp124 : tmp119;
2023-01-11T21:01:51.7660602Z                     auto tmp126 = tmp111 * tmp67;
2023-01-11T21:01:51.7660709Z                     auto tmp127 = in_ptr0[tmp69 + (15*tmp113)];
2023-01-11T21:01:51.7660800Z                     auto tmp128 = tmp127 / tmp126;
2023-01-11T21:01:51.7660889Z                     auto tmp129 = tmp116 & tmp72;
2023-01-11T21:01:51.7660980Z                     auto tmp130 = tmp125 + tmp128;
2023-01-11T21:01:51.7661068Z                     auto tmp131 = tmp129 ? tmp130 : tmp125;
2023-01-11T21:01:51.7661161Z                     out_ptr0[i1 + (15*i0)] = tmp131;
2023-01-11T21:01:51.7661225Z                 }
2023-01-11T21:01:51.7661287Z             }
2023-01-11T21:01:51.7661348Z         }
2023-01-11T21:01:51.7661408Z     }
2023-01-11T21:01:51.7661467Z }
2023-01-11T21:01:51.7661531Z ''')
2023-01-11T21:01:51.7661537Z 
2023-01-11T21:01:51.7661557Z 
2023-01-11T21:01:51.7661633Z async_compile.wait(globals())
2023-01-11T21:01:51.7661707Z del async_compile
2023-01-11T21:01:51.7661713Z 
2023-01-11T21:01:51.7661779Z def call(args):
2023-01-11T21:01:51.7661852Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7661925Z     args.clear()
2023-01-11T21:01:51.7662142Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7662274Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7662329Z     del arg0_1
2023-01-11T21:01:51.7662400Z     return (buf0, )
2023-01-11T21:01:51.7662405Z 
2023-01-11T21:01:51.7662409Z 
2023-01-11T21:01:51.7662484Z if __name__ == "__main__":
2023-01-11T21:01:51.7662596Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7662718Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7662934Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7663181Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7663294Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7663575Z [2023-01-11 20:52:06,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34
2023-01-11T21:01:51.7663582Z 
2023-01-11T21:01:51.7663649Z ok (1.794s)
2023-01-11T21:01:51.7664097Z   test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7664224Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7664477Z [2023-01-11 20:52:06,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35
2023-01-11T21:01:51.7664740Z [2023-01-11 20:52:07,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35
2023-01-11T21:01:51.7664746Z 
2023-01-11T21:01:51.7664838Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7664907Z import torch
2023-01-11T21:01:51.7664976Z import random
2023-01-11T21:01:51.7665079Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7665200Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7665205Z 
2023-01-11T21:01:51.7665282Z aten = torch.ops.aten
2023-01-11T21:01:51.7665414Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7665505Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7665511Z 
2023-01-11T21:01:51.7665515Z 
2023-01-11T21:01:51.7665646Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7665848Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7665970Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7666057Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7666118Z {
2023-01-11T21:01:51.7666193Z     #pragma GCC ivdep
2023-01-11T21:01:51.7666276Z     for(long i0=0; i0<2016; i0+=1)
2023-01-11T21:01:51.7666336Z     {
2023-01-11T21:01:51.7666412Z         #pragma GCC ivdep
2023-01-11T21:01:51.7666492Z         for(long i1=0; i1<21; i1+=1)
2023-01-11T21:01:51.7666542Z         {
2023-01-11T21:01:51.7666619Z             #pragma GCC ivdep
2023-01-11T21:01:51.7666702Z             for(long i2=0; i2<21; i2+=1)
2023-01-11T21:01:51.7666766Z             {
2023-01-11T21:01:51.7666833Z                 {
2023-01-11T21:01:51.7666900Z                     {
2023-01-11T21:01:51.7667011Z                         auto tmp0 = static_cast<int>(((1 + i1) / 2));
2023-01-11T21:01:51.7667107Z                         auto tmp1 = static_cast<int>(((1 + i2) / 2));
2023-01-11T21:01:51.7667216Z                         auto tmp2 = static_cast<int>(1 + (i1 / 2));
2023-01-11T21:01:51.7667321Z                         auto tmp3 = static_cast<int>(1 + (i2 / 2));
2023-01-11T21:01:51.7667421Z                         auto tmp4 = static_cast<int>(0);
2023-01-11T21:01:51.7667549Z                         auto tmp5 = (tmp4 != tmp4) ? tmp4 : std::max(tmp0, tmp4);
2023-01-11T21:01:51.7667676Z                         auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp1, tmp4);
2023-01-11T21:01:51.7667779Z                         auto tmp7 = static_cast<int>(11);
2023-01-11T21:01:51.7667900Z                         auto tmp8 = (tmp7 != tmp7) ? tmp7 : std::min(tmp2, tmp7);
2023-01-11T21:01:51.7668013Z                         auto tmp9 = (tmp7 != tmp7) ? tmp7 : std::min(tmp3, tmp7);
2023-01-11T21:01:51.7668109Z                         auto tmp10 = tmp5 + tmp4;
2023-01-11T21:01:51.7668201Z                         auto tmp11 = tmp6 + tmp4;
2023-01-11T21:01:51.7668301Z                         auto tmp12 = static_cast<int>(1);
2023-01-11T21:01:51.7668442Z                         auto tmp13 = tmp8 - tmp12;
2023-01-11T21:01:51.7668599Z                         auto tmp14 = (tmp13 != tmp13) ? tmp13 : std::min(tmp10, tmp13);
2023-01-11T21:01:51.7668740Z                         auto tmp15 = tmp9 - tmp12;
2023-01-11T21:01:51.7668896Z                         auto tmp16 = (tmp15 != tmp15) ? tmp15 : std::min(tmp11, tmp15);
2023-01-11T21:01:51.7669001Z                         auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)];
2023-01-11T21:01:51.7669095Z                         auto tmp18 = tmp17 / 1;
2023-01-11T21:01:51.7669192Z                         auto tmp19 = tmp10 < tmp8;
2023-01-11T21:01:51.7669280Z                         auto tmp20 = tmp11 < tmp9;
2023-01-11T21:01:51.7669372Z                         auto tmp21 = tmp19 & tmp20;
2023-01-11T21:01:51.7669479Z                         auto tmp22 = static_cast<float>(0.0);
2023-01-11T21:01:51.7669580Z                         auto tmp23 = tmp21 ? tmp18 : tmp22;
2023-01-11T21:01:51.7669682Z                         out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23;
2023-01-11T21:01:51.7669739Z                     }
2023-01-11T21:01:51.7669801Z                 }
2023-01-11T21:01:51.7669862Z             }
2023-01-11T21:01:51.7669923Z         }
2023-01-11T21:01:51.7669983Z     }
2023-01-11T21:01:51.7670044Z }
2023-01-11T21:01:51.7670111Z ''')
2023-01-11T21:01:51.7670120Z 
2023-01-11T21:01:51.7670135Z 
2023-01-11T21:01:51.7670211Z async_compile.wait(globals())
2023-01-11T21:01:51.7670280Z del async_compile
2023-01-11T21:01:51.7670285Z 
2023-01-11T21:01:51.7670352Z def call(args):
2023-01-11T21:01:51.7670424Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7670493Z     args.clear()
2023-01-11T21:01:51.7670720Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7670850Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7670905Z     del arg0_1
2023-01-11T21:01:51.7670975Z     return (buf0, )
2023-01-11T21:01:51.7670980Z 
2023-01-11T21:01:51.7670986Z 
2023-01-11T21:01:51.7671061Z if __name__ == "__main__":
2023-01-11T21:01:51.7671174Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7671297Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7671523Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7671741Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7671853Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7671857Z 
2023-01-11T21:01:51.7671911Z ok (1.645s)
2023-01-11T21:01:51.7672360Z   test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7672489Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7672749Z [2023-01-11 20:52:08,073] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36
2023-01-11T21:01:51.7673099Z [2023-01-11 20:52:08,087] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward
2023-01-11T21:01:51.7673365Z [2023-01-11 20:52:08,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36
2023-01-11T21:01:51.7673370Z 
2023-01-11T21:01:51.7673466Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7673535Z import torch
2023-01-11T21:01:51.7673604Z import random
2023-01-11T21:01:51.7673706Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7673827Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7673833Z 
2023-01-11T21:01:51.7673910Z aten = torch.ops.aten
2023-01-11T21:01:51.7674043Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7674170Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7674175Z 
2023-01-11T21:01:51.7674179Z 
2023-01-11T21:01:51.7674266Z async_compile.wait(globals())
2023-01-11T21:01:51.7674337Z del async_compile
2023-01-11T21:01:51.7674374Z 
2023-01-11T21:01:51.7674446Z def call(args):
2023-01-11T21:01:51.7674507Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7674577Z     args.clear()
2023-01-11T21:01:51.7674718Z     buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None)
2023-01-11T21:01:51.7674784Z     del arg0_1
2023-01-11T21:01:51.7674848Z     del arg1_1
2023-01-11T21:01:51.7674913Z     buf1 = buf0
2023-01-11T21:01:51.7675021Z     assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1))
2023-01-11T21:01:51.7675073Z     del buf0
2023-01-11T21:01:51.7675142Z     return (buf1, )
2023-01-11T21:01:51.7675147Z 
2023-01-11T21:01:51.7675151Z 
2023-01-11T21:01:51.7675224Z if __name__ == "__main__":
2023-01-11T21:01:51.7675338Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7675459Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7675685Z     arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7675905Z     arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7676021Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7676026Z 
2023-01-11T21:01:51.7676078Z ok (0.048s)
2023-01-11T21:01:51.7676525Z   test_avg_pool2d_backward_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7676653Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7676908Z [2023-01-11 20:52:08,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37
2023-01-11T21:01:51.7677171Z [2023-01-11 20:52:09,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37
2023-01-11T21:01:51.7677176Z 
2023-01-11T21:01:51.7677270Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7677338Z import torch
2023-01-11T21:01:51.7677406Z import random
2023-01-11T21:01:51.7677520Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7677627Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7677635Z 
2023-01-11T21:01:51.7677711Z aten = torch.ops.aten
2023-01-11T21:01:51.7677843Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7677933Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7677937Z 
2023-01-11T21:01:51.7677942Z 
2023-01-11T21:01:51.7678075Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7678282Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7678401Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7678503Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7678552Z {
2023-01-11T21:01:51.7678629Z     #pragma GCC ivdep
2023-01-11T21:01:51.7678707Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7678767Z     {
2023-01-11T21:01:51.7678843Z         #pragma GCC ivdep
2023-01-11T21:01:51.7678926Z         for(long i1=0; i1<14; i1+=1)
2023-01-11T21:01:51.7678988Z         {
2023-01-11T21:01:51.7679054Z             #pragma GCC ivdep
2023-01-11T21:01:51.7679141Z             for(long i2=0; i2<14; i2+=1)
2023-01-11T21:01:51.7679203Z             {
2023-01-11T21:01:51.7679265Z                 {
2023-01-11T21:01:51.7679332Z                     {
2023-01-11T21:01:51.7679440Z                         auto tmp0 = static_cast<int>((i1 / 2));
2023-01-11T21:01:51.7679545Z                         auto tmp1 = static_cast<int>((i2 / 2));
2023-01-11T21:01:51.7679689Z                         auto tmp2 = static_cast<int>(1 + (i1 / 2));
2023-01-11T21:01:51.7679794Z                         auto tmp3 = static_cast<int>(1 + (i2 / 2));
2023-01-11T21:01:51.7679922Z                         auto tmp4 = static_cast<int>(0);
2023-01-11T21:01:51.7680054Z                         auto tmp5 = (tmp4 != tmp4) ? tmp4 : std::max(tmp0, tmp4);
2023-01-11T21:01:51.7680180Z                         auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp1, tmp4);
2023-01-11T21:01:51.7680284Z                         auto tmp7 = static_cast<int>(7);
2023-01-11T21:01:51.7680402Z                         auto tmp8 = (tmp7 != tmp7) ? tmp7 : std::min(tmp2, tmp7);
2023-01-11T21:01:51.7680524Z                         auto tmp9 = (tmp7 != tmp7) ? tmp7 : std::min(tmp3, tmp7);
2023-01-11T21:01:51.7680606Z                         auto tmp10 = tmp5 + tmp4;
2023-01-11T21:01:51.7680699Z                         auto tmp11 = tmp6 + tmp4;
2023-01-11T21:01:51.7680802Z                         auto tmp12 = static_cast<int>(1);
2023-01-11T21:01:51.7680950Z                         auto tmp13 = tmp8 - tmp12;
2023-01-11T21:01:51.7681079Z                         auto tmp14 = (tmp13 != tmp13) ? tmp13 : std::min(tmp10, tmp13);
2023-01-11T21:01:51.7681221Z                         auto tmp15 = tmp9 - tmp12;
2023-01-11T21:01:51.7681346Z                         auto tmp16 = (tmp15 != tmp15) ? tmp15 : std::min(tmp11, tmp15);
2023-01-11T21:01:51.7681461Z                         auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)];
2023-01-11T21:01:51.7681541Z                         auto tmp18 = tmp17 / 4;
2023-01-11T21:01:51.7681635Z                         auto tmp19 = tmp10 < tmp8;
2023-01-11T21:01:51.7681727Z                         auto tmp20 = tmp11 < tmp9;
2023-01-11T21:01:51.7681822Z                         auto tmp21 = tmp19 & tmp20;
2023-01-11T21:01:51.7681931Z                         auto tmp22 = static_cast<float>(0.0);
2023-01-11T21:01:51.7682037Z                         auto tmp23 = tmp21 ? tmp18 : tmp22;
2023-01-11T21:01:51.7682141Z                         out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23;
2023-01-11T21:01:51.7682194Z                     }
2023-01-11T21:01:51.7682261Z                 }
2023-01-11T21:01:51.7682327Z             }
2023-01-11T21:01:51.7682388Z         }
2023-01-11T21:01:51.7682448Z     }
2023-01-11T21:01:51.7682506Z }
2023-01-11T21:01:51.7682582Z ''')
2023-01-11T21:01:51.7682587Z 
2023-01-11T21:01:51.7682592Z 
2023-01-11T21:01:51.7682669Z async_compile.wait(globals())
2023-01-11T21:01:51.7682740Z del async_compile
2023-01-11T21:01:51.7682745Z 
2023-01-11T21:01:51.7682813Z def call(args):
2023-01-11T21:01:51.7682885Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7682955Z     args.clear()
2023-01-11T21:01:51.7683171Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7683303Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7683505Z     del arg0_1
2023-01-11T21:01:51.7683597Z     return (buf0, )
2023-01-11T21:01:51.7683606Z 
2023-01-11T21:01:51.7683612Z 
2023-01-11T21:01:51.7683694Z if __name__ == "__main__":
2023-01-11T21:01:51.7683809Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7683931Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7684147Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7684362Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7684477Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7684482Z 
2023-01-11T21:01:51.7684548Z ok (1.573s)
2023-01-11T21:01:51.7684972Z   test_baddbmm_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7685153Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7685448Z [2023-01-11 20:52:09,694] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38
2023-01-11T21:01:51.7685714Z [2023-01-11 20:52:11,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38
2023-01-11T21:01:51.7685720Z 
2023-01-11T21:01:51.7685814Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7685884Z import torch
2023-01-11T21:01:51.7685953Z import random
2023-01-11T21:01:51.7686067Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7686188Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7686194Z 
2023-01-11T21:01:51.7686258Z aten = torch.ops.aten
2023-01-11T21:01:51.7686393Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7686486Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7686491Z 
2023-01-11T21:01:51.7686496Z 
2023-01-11T21:01:51.7686627Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7686832Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7686946Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.7687049Z                        const float* __restrict__ in_ptr0)
2023-01-11T21:01:51.7687110Z {
2023-01-11T21:01:51.7687174Z     #pragma GCC ivdep
2023-01-11T21:01:51.7687256Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:51.7687315Z     {
2023-01-11T21:01:51.7687392Z         #pragma GCC ivdep
2023-01-11T21:01:51.7687473Z         for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:51.7687535Z         {
2023-01-11T21:01:51.7687608Z             for(long i2=0; i2<12; i2+=1)
2023-01-11T21:01:51.7687671Z             {
2023-01-11T21:01:51.7687809Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2023-01-11T21:01:51.7687963Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2023-01-11T21:01:51.7688051Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7688165Z                 tmp2.store(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2023-01-11T21:01:51.7688228Z             }
2023-01-11T21:01:51.7688319Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7688394Z             for(long i2=96; i2<100; i2+=1)
2023-01-11T21:01:51.7688457Z             {
2023-01-11T21:01:51.7688553Z                 auto tmp0 = in_ptr0[i2 + (100*i0)];
2023-01-11T21:01:51.7688661Z                 auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)];
2023-01-11T21:01:51.7688746Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7688846Z                 in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2;
2023-01-11T21:01:51.7688909Z             }
2023-01-11T21:01:51.7688959Z         }
2023-01-11T21:01:51.7689022Z     }
2023-01-11T21:01:51.7689081Z }
2023-01-11T21:01:51.7689157Z ''')
2023-01-11T21:01:51.7689162Z 
2023-01-11T21:01:51.7689167Z 
2023-01-11T21:01:51.7689254Z async_compile.wait(globals())
2023-01-11T21:01:51.7689324Z del async_compile
2023-01-11T21:01:51.7689330Z 
2023-01-11T21:01:51.7689401Z def call(args):
2023-01-11T21:01:51.7689471Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.7689543Z     args.clear()
2023-01-11T21:01:51.7689758Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7689853Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2023-01-11T21:01:51.7689921Z     del arg1_1
2023-01-11T21:01:51.7689986Z     del arg2_1
2023-01-11T21:01:51.7690070Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.7690188Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.7690254Z     del arg0_1
2023-01-11T21:01:51.7690323Z     return (buf1, )
2023-01-11T21:01:51.7690329Z 
2023-01-11T21:01:51.7690363Z 
2023-01-11T21:01:51.7690437Z if __name__ == "__main__":
2023-01-11T21:01:51.7690550Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7690671Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7690912Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7691124Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7691322Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7691444Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.7691449Z 
2023-01-11T21:01:51.7691515Z ok (1.534s)
2023-01-11T21:01:51.7691949Z   test_batch_norm_2d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7692079Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7692335Z [2023-01-11 20:52:11,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39
2023-01-11T21:01:51.7692596Z [2023-01-11 20:52:13,022] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39
2023-01-11T21:01:51.7692994Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7693118Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7693367Z [2023-01-11 20:52:13,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40
2023-01-11T21:01:51.7693375Z 
2023-01-11T21:01:51.7693468Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7693524Z import torch
2023-01-11T21:01:51.7693593Z import random
2023-01-11T21:01:51.7693708Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7693828Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7693834Z 
2023-01-11T21:01:51.7693911Z aten = torch.ops.aten
2023-01-11T21:01:51.7694044Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7694137Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7694142Z 
2023-01-11T21:01:51.7694146Z 
2023-01-11T21:01:51.7694278Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7694468Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7694586Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7694689Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7694793Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.7694894Z                        const float* __restrict__ in_ptr3,
2023-01-11T21:01:51.7694995Z                        const float* __restrict__ in_ptr4,
2023-01-11T21:01:51.7695092Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7695173Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7695269Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.7695365Z                        bool* __restrict__ out_ptr3)
2023-01-11T21:01:51.7695424Z {
2023-01-11T21:01:51.7695501Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7695562Z     {
2023-01-11T21:01:51.7695692Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7695767Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7695827Z     }
2023-01-11T21:01:51.7695915Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7696024Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.7696082Z     {
2023-01-11T21:01:51.7696162Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7696241Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7696289Z     }
2023-01-11T21:01:51.7696400Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7696463Z     {
2023-01-11T21:01:51.7696591Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7696679Z         tmp0.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7696738Z     }
2023-01-11T21:01:51.7696823Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7696888Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.7696947Z     {
2023-01-11T21:01:51.7697027Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.7697104Z         out_ptr1[i0] = tmp0;
2023-01-11T21:01:51.7697164Z     }
2023-01-11T21:01:51.7697239Z     #pragma GCC ivdep
2023-01-11T21:01:51.7697315Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7697362Z     {
2023-01-11T21:01:51.7697441Z         #pragma GCC ivdep
2023-01-11T21:01:51.7697520Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:51.7697581Z         {
2023-01-11T21:01:51.7697663Z             for(long i2=0; i2<8; i2+=1)
2023-01-11T21:01:51.7697724Z             {
2023-01-11T21:01:51.7697861Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + (8*i2) + (64*i1) + (640*i0));
2023-01-11T21:01:51.7697986Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i1]);
2023-01-11T21:01:51.7698108Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr1[i1]);
2023-01-11T21:01:51.7698226Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2023-01-11T21:01:51.7698341Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2023-01-11T21:01:51.7698472Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7698677Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2023-01-11T21:01:51.7698764Z                 auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.7698852Z                 auto tmp6 = tmp5.sqrt();
2023-01-11T21:01:51.7698939Z                 auto tmp7 = tmp6.reciprocal();
2023-01-11T21:01:51.7699074Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7699161Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.7699248Z                 auto tmp10 = tmp2 * tmp9;
2023-01-11T21:01:51.7699339Z                 auto tmp12 = tmp10 * tmp11;
2023-01-11T21:01:51.7699428Z                 auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.7699556Z                 auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2023-01-11T21:01:51.7699653Z                 tmp15.store(out_ptr2 + (8*i2) + (64*i1) + (640*i0));
2023-01-11T21:01:51.7699718Z             }
2023-01-11T21:01:51.7699811Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7699896Z             for(long i2=64; i2<64; i2+=1)
2023-01-11T21:01:51.7699958Z             {
2023-01-11T21:01:51.7700061Z                 auto tmp0 = in_ptr2[i2 + (64*i1) + (640*i0)];
2023-01-11T21:01:51.7700153Z                 auto tmp1 = out_ptr0[i1];
2023-01-11T21:01:51.7700226Z                 auto tmp3 = out_ptr1[i1];
2023-01-11T21:01:51.7700314Z                 auto tmp11 = in_ptr3[i1];
2023-01-11T21:01:51.7700401Z                 auto tmp13 = in_ptr4[i1];
2023-01-11T21:01:51.7700527Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7700682Z                 auto tmp4 = static_cast<float>(1e-05);
2023-01-11T21:01:51.7700768Z                 auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.7700863Z                 auto tmp6 = std::sqrt(tmp5);
2023-01-11T21:01:51.7700931Z                 auto tmp7 = 1 / tmp6;
2023-01-11T21:01:51.7701032Z                 auto tmp8 = static_cast<float>(1);
2023-01-11T21:01:51.7701117Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.7701200Z                 auto tmp10 = tmp2 * tmp9;
2023-01-11T21:01:51.7701288Z                 auto tmp12 = tmp10 * tmp11;
2023-01-11T21:01:51.7701376Z                 auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.7701503Z                 auto tmp15 = tmp14 * (tmp14>0);
2023-01-11T21:01:51.7701602Z                 out_ptr2[i2 + (64*i1) + (640*i0)] = tmp15;
2023-01-11T21:01:51.7701654Z             }
2023-01-11T21:01:51.7701744Z         }
2023-01-11T21:01:51.7701807Z     }
2023-01-11T21:01:51.7701883Z     #pragma GCC ivdep
2023-01-11T21:01:51.7701962Z     for(long i0=0; i0<1280; i0+=1)
2023-01-11T21:01:51.7702021Z     {
2023-01-11T21:01:51.7702071Z         {
2023-01-11T21:01:51.7702133Z             {
2023-01-11T21:01:51.7702218Z                 auto tmp0 = out_ptr2[i0];
2023-01-11T21:01:51.7702316Z                 auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:51.7702400Z                 auto tmp2 = tmp0 <= tmp1;
2023-01-11T21:01:51.7702479Z                 out_ptr3[i0] = tmp2;
2023-01-11T21:01:51.7702540Z             }
2023-01-11T21:01:51.7702591Z         }
2023-01-11T21:01:51.7702650Z     }
2023-01-11T21:01:51.7702707Z }
2023-01-11T21:01:51.7702784Z ''')
2023-01-11T21:01:51.7702792Z 
2023-01-11T21:01:51.7702797Z 
2023-01-11T21:01:51.7702884Z async_compile.wait(globals())
2023-01-11T21:01:51.7702955Z del async_compile
2023-01-11T21:01:51.7702960Z 
2023-01-11T21:01:51.7703029Z def call(args):
2023-01-11T21:01:51.7703155Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2023-01-11T21:01:51.7703227Z     args.clear()
2023-01-11T21:01:51.7703420Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7703612Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7703822Z     buf2 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7704024Z     buf3 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7704344Z     kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_6.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:51.7704418Z     del primals_1
2023-01-11T21:01:51.7704487Z     del primals_2
2023-01-11T21:01:51.7704544Z     del primals_3
2023-01-11T21:01:51.7704615Z     del primals_4
2023-01-11T21:01:51.7704729Z     return (buf0, buf1, buf2, primals_6, buf0, buf1, buf3, )
2023-01-11T21:01:51.7704734Z 
2023-01-11T21:01:51.7704739Z 
2023-01-11T21:01:51.7704812Z if __name__ == "__main__":
2023-01-11T21:01:51.7704925Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7705046Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7705246Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7705433Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7705633Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7705829Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7706013Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7706228Z     primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7706402Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2023-01-11T21:01:51.7706408Z 
2023-01-11T21:01:51.7706412Z 
2023-01-11T21:01:51.7706504Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7706573Z import torch
2023-01-11T21:01:51.7706641Z import random
2023-01-11T21:01:51.7706745Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7706865Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7706870Z 
2023-01-11T21:01:51.7706945Z aten = torch.ops.aten
2023-01-11T21:01:51.7707077Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7707196Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7707201Z 
2023-01-11T21:01:51.7707206Z 
2023-01-11T21:01:51.7707338Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7707569Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7707688Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7707780Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7707886Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.7707986Z                        const float* __restrict__ in_ptr3,
2023-01-11T21:01:51.7708084Z                        const float* __restrict__ in_ptr4,
2023-01-11T21:01:51.7708181Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7708275Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7708368Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.7708451Z                        bool* __restrict__ out_ptr3)
2023-01-11T21:01:51.7708512Z {
2023-01-11T21:01:51.7708592Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7708653Z     {
2023-01-11T21:01:51.7708788Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7708877Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7708939Z     }
2023-01-11T21:01:51.7709013Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7709091Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.7709150Z     {
2023-01-11T21:01:51.7709229Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7709306Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7709364Z     }
2023-01-11T21:01:51.7709442Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7709489Z     {
2023-01-11T21:01:51.7709620Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7709708Z         tmp0.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7709767Z     }
2023-01-11T21:01:51.7709851Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7709929Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.7709989Z     {
2023-01-11T21:01:51.7710058Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.7710133Z         out_ptr1[i0] = tmp0;
2023-01-11T21:01:51.7710192Z     }
2023-01-11T21:01:51.7710267Z     #pragma GCC ivdep
2023-01-11T21:01:51.7710343Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.7710400Z     {
2023-01-11T21:01:51.7710464Z         #pragma GCC ivdep
2023-01-11T21:01:51.7710546Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:51.7710607Z         {
2023-01-11T21:01:51.7710692Z             for(long i2=0; i2<32; i2+=1)
2023-01-11T21:01:51.7710754Z             {
2023-01-11T21:01:51.7710902Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + (8*i2) + (256*i1) + (2560*i0));
2023-01-11T21:01:51.7711030Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i1]);
2023-01-11T21:01:51.7711150Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr1[i1]);
2023-01-11T21:01:51.7711259Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2023-01-11T21:01:51.7711375Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2023-01-11T21:01:51.7711509Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7711717Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2023-01-11T21:01:51.7711805Z                 auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.7711892Z                 auto tmp6 = tmp5.sqrt();
2023-01-11T21:01:51.7711991Z                 auto tmp7 = tmp6.reciprocal();
2023-01-11T21:01:51.7712125Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7712199Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.7712287Z                 auto tmp10 = tmp2 * tmp9;
2023-01-11T21:01:51.7712378Z                 auto tmp12 = tmp10 * tmp11;
2023-01-11T21:01:51.7712465Z                 auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.7712595Z                 auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2023-01-11T21:01:51.7712751Z                 tmp15.store(out_ptr2 + (8*i2) + (256*i1) + (2560*i0));
2023-01-11T21:01:51.7712815Z             }
2023-01-11T21:01:51.7712965Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7713087Z             for(long i2=256; i2<256; i2+=1)
2023-01-11T21:01:51.7713151Z             {
2023-01-11T21:01:51.7713255Z                 auto tmp0 = in_ptr2[i2 + (256*i1) + (2560*i0)];
2023-01-11T21:01:51.7713344Z                 auto tmp1 = out_ptr0[i1];
2023-01-11T21:01:51.7713431Z                 auto tmp3 = out_ptr1[i1];
2023-01-11T21:01:51.7713518Z                 auto tmp11 = in_ptr3[i1];
2023-01-11T21:01:51.7713591Z                 auto tmp13 = in_ptr4[i1];
2023-01-11T21:01:51.7713724Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7713879Z                 auto tmp4 = static_cast<float>(1e-05);
2023-01-11T21:01:51.7713966Z                 auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.7714062Z                 auto tmp6 = std::sqrt(tmp5);
2023-01-11T21:01:51.7714144Z                 auto tmp7 = 1 / tmp6;
2023-01-11T21:01:51.7714244Z                 auto tmp8 = static_cast<float>(1);
2023-01-11T21:01:51.7714316Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.7714406Z                 auto tmp10 = tmp2 * tmp9;
2023-01-11T21:01:51.7714495Z                 auto tmp12 = tmp10 * tmp11;
2023-01-11T21:01:51.7714583Z                 auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.7714676Z                 auto tmp15 = tmp14 * (tmp14>0);
2023-01-11T21:01:51.7714776Z                 out_ptr2[i2 + (256*i1) + (2560*i0)] = tmp15;
2023-01-11T21:01:51.7714843Z             }
2023-01-11T21:01:51.7714893Z         }
2023-01-11T21:01:51.7714955Z     }
2023-01-11T21:01:51.7715028Z     #pragma GCC ivdep
2023-01-11T21:01:51.7715109Z     for(long i0=0; i0<7680; i0+=1)
2023-01-11T21:01:51.7715168Z     {
2023-01-11T21:01:51.7715228Z         {
2023-01-11T21:01:51.7715290Z             {
2023-01-11T21:01:51.7715363Z                 auto tmp0 = out_ptr2[i0];
2023-01-11T21:01:51.7715464Z                 auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:51.7715549Z                 auto tmp2 = tmp0 <= tmp1;
2023-01-11T21:01:51.7715628Z                 out_ptr3[i0] = tmp2;
2023-01-11T21:01:51.7715694Z             }
2023-01-11T21:01:51.7715753Z         }
2023-01-11T21:01:51.7715814Z     }
2023-01-11T21:01:51.7715861Z }
2023-01-11T21:01:51.7715937Z ''')
2023-01-11T21:01:51.7715944Z 
2023-01-11T21:01:51.7715948Z 
2023-01-11T21:01:51.7716036Z async_compile.wait(globals())
2023-01-11T21:01:51.7716108Z del async_compile
2023-01-11T21:01:51.7716113Z 
2023-01-11T21:01:51.7716180Z def call(args):
2023-01-11T21:01:51.7716318Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2023-01-11T21:01:51.7716389Z     args.clear()
2023-01-11T21:01:51.7716569Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7716757Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7716978Z     buf2 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7717188Z     buf3 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7717512Z     kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_6.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:51.7717586Z     del primals_1
2023-01-11T21:01:51.7717655Z     del primals_2
2023-01-11T21:01:51.7717724Z     del primals_3
2023-01-11T21:01:51.7717779Z     del primals_4
2023-01-11T21:01:51.7717896Z     return (buf0, buf1, buf2, primals_6, buf0, buf1, buf3, )
2023-01-11T21:01:51.7717902Z 
2023-01-11T21:01:51.7717906Z 
2023-01-11T21:01:51.7717980Z if __name__ == "__main__":
2023-01-11T21:01:51.7718094Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7718273Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7718472Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7718709Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7718908Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7719091Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7719277Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7719496Z     primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7719669Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2023-01-11T21:01:51.7719936Z [2023-01-11 20:52:14,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40
2023-01-11T21:01:51.7719944Z 
2023-01-11T21:01:51.7720012Z ok (3.674s)
2023-01-11T21:01:51.7720450Z   test_bernoulli1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7720578Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7720833Z [2023-01-11 20:52:14,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41
2023-01-11T21:01:51.7721090Z [2023-01-11 20:52:16,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41
2023-01-11T21:01:51.7721096Z 
2023-01-11T21:01:51.7721176Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7721245Z import torch
2023-01-11T21:01:51.7721317Z import random
2023-01-11T21:01:51.7721435Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7721554Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7721560Z 
2023-01-11T21:01:51.7721637Z aten = torch.ops.aten
2023-01-11T21:01:51.7721772Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7721863Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7721868Z 
2023-01-11T21:01:51.7721872Z 
2023-01-11T21:01:51.7721992Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7722196Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7722308Z extern "C" void kernel(float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7722371Z {
2023-01-11T21:01:51.7722448Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.7722507Z     {
2023-01-11T21:01:51.7722639Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2023-01-11T21:01:51.7722714Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7722780Z     }
2023-01-11T21:01:51.7722866Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7722945Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:51.7723004Z     {
2023-01-11T21:01:51.7723100Z         auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:51.7723175Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7723223Z     }
2023-01-11T21:01:51.7723281Z }
2023-01-11T21:01:51.7723484Z ''')
2023-01-11T21:01:51.7723492Z 
2023-01-11T21:01:51.7723497Z 
2023-01-11T21:01:51.7723635Z async_compile.wait(globals())
2023-01-11T21:01:51.7723731Z del async_compile
2023-01-11T21:01:51.7723736Z 
2023-01-11T21:01:51.7723811Z def call(args):
2023-01-11T21:01:51.7723878Z     arg0_1, = args
2023-01-11T21:01:51.7723935Z     args.clear()
2023-01-11T21:01:51.7724133Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7724234Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7724317Z     aten.bernoulli_(buf0, )
2023-01-11T21:01:51.7724448Z     return (buf0, buf0, )
2023-01-11T21:01:51.7724453Z 
2023-01-11T21:01:51.7724457Z 
2023-01-11T21:01:51.7724533Z if __name__ == "__main__":
2023-01-11T21:01:51.7724645Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7724806Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7724993Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7725100Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7725105Z 
2023-01-11T21:01:51.7725172Z ok (1.535s)
2023-01-11T21:01:51.7725610Z   test_bernoulli2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7725736Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7725992Z [2023-01-11 20:52:16,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42
2023-01-11T21:01:51.7726250Z [2023-01-11 20:52:16,436] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.7726510Z [2023-01-11 20:52:17,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42
2023-01-11T21:01:51.7726516Z 
2023-01-11T21:01:51.7726609Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7726680Z import torch
2023-01-11T21:01:51.7726738Z import random
2023-01-11T21:01:51.7726851Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7726970Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7726976Z 
2023-01-11T21:01:51.7727053Z aten = torch.ops.aten
2023-01-11T21:01:51.7727187Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7727280Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7727440Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.7727446Z 
2023-01-11T21:01:51.7727450Z 
2023-01-11T21:01:51.7727582Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7727776Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7727889Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:51.7727995Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7728092Z                        bool* __restrict__ out_ptr0)
2023-01-11T21:01:51.7728152Z {
2023-01-11T21:01:51.7728227Z     #pragma GCC ivdep
2023-01-11T21:01:51.7728307Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7728356Z     {
2023-01-11T21:01:51.7728417Z         {
2023-01-11T21:01:51.7728478Z             {
2023-01-11T21:01:51.7728560Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.7728647Z                 auto tmp5 = in_ptr1[i0];
2023-01-11T21:01:51.7728750Z                 auto tmp1 = static_cast<int>(65535);
2023-01-11T21:01:51.7728825Z                 auto tmp2 = tmp0 ^ tmp1;
2023-01-11T21:01:51.7728924Z                 auto tmp3 = static_cast<int>(i0);
2023-01-11T21:01:51.7729062Z                 auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2023-01-11T21:01:51.7729150Z                 auto tmp6 = tmp4 < tmp5;
2023-01-11T21:01:51.7729231Z                 out_ptr0[i0] = tmp6;
2023-01-11T21:01:51.7729294Z             }
2023-01-11T21:01:51.7729355Z         }
2023-01-11T21:01:51.7729403Z     }
2023-01-11T21:01:51.7729461Z }
2023-01-11T21:01:51.7729537Z ''')
2023-01-11T21:01:51.7729543Z 
2023-01-11T21:01:51.7729547Z 
2023-01-11T21:01:51.7729634Z async_compile.wait(globals())
2023-01-11T21:01:51.7729705Z del async_compile
2023-01-11T21:01:51.7729710Z 
2023-01-11T21:01:51.7729779Z def call(args):
2023-01-11T21:01:51.7729846Z     arg0_1, = args
2023-01-11T21:01:51.7729918Z     args.clear()
2023-01-11T21:01:51.7730072Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.7730259Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7730459Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7730529Z     del arg0_1
2023-01-11T21:01:51.7730601Z     return (buf0, )
2023-01-11T21:01:51.7730606Z 
2023-01-11T21:01:51.7730610Z 
2023-01-11T21:01:51.7730684Z if __name__ == "__main__":
2023-01-11T21:01:51.7730797Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7730918Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7731099Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7731290Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7731396Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7731401Z 
2023-01-11T21:01:51.7731468Z ok (1.519s)
2023-01-11T21:01:51.7731906Z   test_bitwise2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7732032Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7732291Z [2023-01-11 20:52:17,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43
2023-01-11T21:01:51.7732554Z [2023-01-11 20:52:19,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43
2023-01-11T21:01:51.7732560Z 
2023-01-11T21:01:51.7732650Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7732707Z import torch
2023-01-11T21:01:51.7732777Z import random
2023-01-11T21:01:51.7732894Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7733015Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7733020Z 
2023-01-11T21:01:51.7733097Z aten = torch.ops.aten
2023-01-11T21:01:51.7733229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7733320Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7733325Z 
2023-01-11T21:01:51.7733330Z 
2023-01-11T21:01:51.7733461Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7733652Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7733770Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.7733874Z                        const bool* __restrict__ in_ptr1,
2023-01-11T21:01:51.7733970Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:51.7734064Z                        bool* __restrict__ out_ptr1,
2023-01-11T21:01:51.7734157Z                        bool* __restrict__ out_ptr2,
2023-01-11T21:01:51.7734249Z                        bool* __restrict__ out_ptr3)
2023-01-11T21:01:51.7734296Z {
2023-01-11T21:01:51.7734371Z     #pragma GCC ivdep
2023-01-11T21:01:51.7734451Z     for(long i0=0; i0<40; i0+=1)
2023-01-11T21:01:51.7734511Z     {
2023-01-11T21:01:51.7734576Z         {
2023-01-11T21:01:51.7734640Z             {
2023-01-11T21:01:51.7734726Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7734800Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.7734886Z                 auto tmp1 = tmp0 == 0;
2023-01-11T21:01:51.7734971Z                 auto tmp3 = tmp0 | tmp2;
2023-01-11T21:01:51.7735055Z                 auto tmp4 = tmp0 ^ tmp2;
2023-01-11T21:01:51.7735138Z                 auto tmp5 = tmp0 & tmp2;
2023-01-11T21:01:51.7735216Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.7735294Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.7735359Z                 out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.7735439Z                 out_ptr3[i0] = tmp5;
2023-01-11T21:01:51.7735531Z             }
2023-01-11T21:01:51.7735592Z         }
2023-01-11T21:01:51.7735653Z     }
2023-01-11T21:01:51.7735712Z }
2023-01-11T21:01:51.7735778Z ''')
2023-01-11T21:01:51.7735796Z 
2023-01-11T21:01:51.7735800Z 
2023-01-11T21:01:51.7735905Z async_compile.wait(globals())
2023-01-11T21:01:51.7735981Z del async_compile
2023-01-11T21:01:51.7735986Z 
2023-01-11T21:01:51.7736058Z def call(args):
2023-01-11T21:01:51.7736130Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7736199Z     args.clear()
2023-01-11T21:01:51.7736393Z     buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7736583Z     buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7736755Z     buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7736937Z     buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7737170Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:51.7737241Z     del arg0_1
2023-01-11T21:01:51.7737307Z     del arg1_1
2023-01-11T21:01:51.7737396Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:51.7737402Z 
2023-01-11T21:01:51.7737406Z 
2023-01-11T21:01:51.7737481Z if __name__ == "__main__":
2023-01-11T21:01:51.7737593Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7737704Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7737896Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7738084Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7738201Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7738207Z 
2023-01-11T21:01:51.7738272Z ok (1.547s)
2023-01-11T21:01:51.7738712Z   test_bitwise_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7738844Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7739098Z [2023-01-11 20:52:19,502] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44
2023-01-11T21:01:51.7739357Z [2023-01-11 20:52:20,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44
2023-01-11T21:01:51.7739363Z 
2023-01-11T21:01:51.7739456Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7739515Z import torch
2023-01-11T21:01:51.7739584Z import random
2023-01-11T21:01:51.7739698Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7739817Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7739824Z 
2023-01-11T21:01:51.7739901Z aten = torch.ops.aten
2023-01-11T21:01:51.7740034Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7740124Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7740130Z 
2023-01-11T21:01:51.7740136Z 
2023-01-11T21:01:51.7740255Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7740458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7740574Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:51.7740673Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:51.7740768Z                        int* __restrict__ out_ptr0,
2023-01-11T21:01:51.7740861Z                        int* __restrict__ out_ptr1,
2023-01-11T21:01:51.7740952Z                        int* __restrict__ out_ptr2,
2023-01-11T21:01:51.7741041Z                        int* __restrict__ out_ptr3)
2023-01-11T21:01:51.7741088Z {
2023-01-11T21:01:51.7741197Z     #pragma GCC ivdep
2023-01-11T21:01:51.7741277Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.7741336Z     {
2023-01-11T21:01:51.7741399Z         {
2023-01-11T21:01:51.7741460Z             {
2023-01-11T21:01:51.7741602Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7741691Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.7741771Z                 auto tmp1 = ~tmp0;
2023-01-11T21:01:51.7741857Z                 auto tmp3 = tmp0 | tmp2;
2023-01-11T21:01:51.7741941Z                 auto tmp4 = tmp0 ^ tmp2;
2023-01-11T21:01:51.7742026Z                 auto tmp5 = tmp0 & tmp2;
2023-01-11T21:01:51.7742107Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.7742172Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.7742251Z                 out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.7742328Z                 out_ptr3[i0] = tmp5;
2023-01-11T21:01:51.7742391Z             }
2023-01-11T21:01:51.7742455Z         }
2023-01-11T21:01:51.7742516Z     }
2023-01-11T21:01:51.7742577Z }
2023-01-11T21:01:51.7742644Z ''')
2023-01-11T21:01:51.7742649Z 
2023-01-11T21:01:51.7742653Z 
2023-01-11T21:01:51.7742744Z async_compile.wait(globals())
2023-01-11T21:01:51.7742817Z del async_compile
2023-01-11T21:01:51.7742823Z 
2023-01-11T21:01:51.7742892Z def call(args):
2023-01-11T21:01:51.7742968Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7743038Z     args.clear()
2023-01-11T21:01:51.7743226Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.7743416Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.7743591Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.7743777Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.7744011Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:51.7744082Z     del arg0_1
2023-01-11T21:01:51.7744148Z     del arg1_1
2023-01-11T21:01:51.7744236Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:51.7744242Z 
2023-01-11T21:01:51.7744246Z 
2023-01-11T21:01:51.7744321Z if __name__ == "__main__":
2023-01-11T21:01:51.7744436Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7744546Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7744736Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.7744925Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.7745038Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7745044Z 
2023-01-11T21:01:51.7745110Z ok (1.520s)
2023-01-11T21:01:51.7745546Z   test_bmm1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7745675Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7745934Z [2023-01-11 20:52:21,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45
2023-01-11T21:01:51.7746197Z [2023-01-11 20:52:22,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45
2023-01-11T21:01:51.7746582Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7746705Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7746960Z [2023-01-11 20:52:22,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46
2023-01-11T21:01:51.7747250Z [2023-01-11 20:52:24,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46
2023-01-11T21:01:51.7747284Z 
2023-01-11T21:01:51.7747378Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7747447Z import torch
2023-01-11T21:01:51.7747516Z import random
2023-01-11T21:01:51.7747630Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7747750Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7747756Z 
2023-01-11T21:01:51.7747820Z aten = torch.ops.aten
2023-01-11T21:01:51.7747956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7748047Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7748052Z 
2023-01-11T21:01:51.7748056Z 
2023-01-11T21:01:51.7748189Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7748392Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7748511Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7748614Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7748715Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7748800Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7748861Z {
2023-01-11T21:01:51.7748943Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.7749003Z     {
2023-01-11T21:01:51.7749140Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7749270Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7749352Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7749425Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7749486Z     }
2023-01-11T21:01:51.7749572Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7749652Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:51.7749713Z     {
2023-01-11T21:01:51.7749792Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7749886Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7749954Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7750036Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7750097Z     }
2023-01-11T21:01:51.7750174Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.7750233Z     {
2023-01-11T21:01:51.7750360Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7750490Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.7750558Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7750642Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7750702Z     }
2023-01-11T21:01:51.7750786Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7750866Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:51.7750926Z     {
2023-01-11T21:01:51.7751004Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.7751090Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7751168Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7751243Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.7751302Z     }
2023-01-11T21:01:51.7751361Z }
2023-01-11T21:01:51.7751440Z ''')
2023-01-11T21:01:51.7751448Z 
2023-01-11T21:01:51.7751453Z 
2023-01-11T21:01:51.7751584Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.7751775Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7751891Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.7751952Z {
2023-01-11T21:01:51.7752027Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.7752087Z     {
2023-01-11T21:01:51.7752220Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7752348Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.7752416Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7752507Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7752598Z     }
2023-01-11T21:01:51.7752683Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7752763Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:51.7752823Z     {
2023-01-11T21:01:51.7753015Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.7753103Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.7753184Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7753263Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7753322Z     }
2023-01-11T21:01:51.7753382Z }
2023-01-11T21:01:51.7753463Z ''')
2023-01-11T21:01:51.7753469Z 
2023-01-11T21:01:51.7753473Z 
2023-01-11T21:01:51.7753560Z async_compile.wait(globals())
2023-01-11T21:01:51.7753624Z del async_compile
2023-01-11T21:01:51.7753648Z 
2023-01-11T21:01:51.7753704Z def call(args):
2023-01-11T21:01:51.7753777Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7753847Z     args.clear()
2023-01-11T21:01:51.7754052Z     buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7754150Z     aten.bmm.out(arg0_1, arg1_1, out=buf0)
2023-01-11T21:01:51.7754351Z     buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7754551Z     buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7754729Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7754795Z     del arg0_1
2023-01-11T21:01:51.7754860Z     del arg1_1
2023-01-11T21:01:51.7755061Z     buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7755155Z     aten.bmm.out(buf1, buf2, out=buf3)
2023-01-11T21:01:51.7755221Z     del buf1
2023-01-11T21:01:51.7755288Z     del buf2
2023-01-11T21:01:51.7755360Z     buf4 = buf3; del buf3  # reuse
2023-01-11T21:01:51.7755463Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.7755540Z     return (buf0, buf4, )
2023-01-11T21:01:51.7755547Z 
2023-01-11T21:01:51.7755552Z 
2023-01-11T21:01:51.7755626Z if __name__ == "__main__":
2023-01-11T21:01:51.7755739Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7755865Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7756073Z     arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7756330Z     arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7756432Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7756437Z 
2023-01-11T21:01:51.7756441Z 
2023-01-11T21:01:51.7756534Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7756602Z import torch
2023-01-11T21:01:51.7756672Z import random
2023-01-11T21:01:51.7756784Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7756903Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7756908Z 
2023-01-11T21:01:51.7756982Z aten = torch.ops.aten
2023-01-11T21:01:51.7757104Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7757196Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7757201Z 
2023-01-11T21:01:51.7757205Z 
2023-01-11T21:01:51.7757338Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7757542Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7757660Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7757766Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7757863Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7757958Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7758005Z {
2023-01-11T21:01:51.7758084Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.7758145Z     {
2023-01-11T21:01:51.7758276Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7758404Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7758533Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7758621Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7758681Z     }
2023-01-11T21:01:51.7758782Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7758864Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:51.7758926Z     {
2023-01-11T21:01:51.7759004Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7759100Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7759178Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7759243Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7759306Z     }
2023-01-11T21:01:51.7759383Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:51.7759441Z     {
2023-01-11T21:01:51.7759568Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7759701Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.7759782Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7759858Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7759919Z     }
2023-01-11T21:01:51.7760005Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7760083Z     for(long i0=80; i0<80; i0+=1)
2023-01-11T21:01:51.7760147Z     {
2023-01-11T21:01:51.7760226Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.7760323Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7760389Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7760467Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.7760525Z     }
2023-01-11T21:01:51.7760584Z }
2023-01-11T21:01:51.7760663Z ''')
2023-01-11T21:01:51.7760668Z 
2023-01-11T21:01:51.7760673Z 
2023-01-11T21:01:51.7760804Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.7761010Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7761127Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.7761174Z {
2023-01-11T21:01:51.7761252Z     for(long i0=0; i0<20; i0+=1)
2023-01-11T21:01:51.7761310Z     {
2023-01-11T21:01:51.7761445Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7761574Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.7761657Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7761746Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.7761795Z     }
2023-01-11T21:01:51.7761878Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7761960Z     for(long i0=160; i0<160; i0+=1)
2023-01-11T21:01:51.7762019Z     {
2023-01-11T21:01:51.7762103Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.7762198Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.7762279Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7762346Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7762405Z     }
2023-01-11T21:01:51.7762465Z }
2023-01-11T21:01:51.7762539Z ''')
2023-01-11T21:01:51.7762544Z 
2023-01-11T21:01:51.7762549Z 
2023-01-11T21:01:51.7762637Z async_compile.wait(globals())
2023-01-11T21:01:51.7762709Z del async_compile
2023-01-11T21:01:51.7762715Z 
2023-01-11T21:01:51.7762783Z def call(args):
2023-01-11T21:01:51.7762844Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7762916Z     args.clear()
2023-01-11T21:01:51.7763126Z     buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7763293Z     aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1)))
2023-01-11T21:01:51.7763680Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7763883Z     buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7764071Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7764140Z     del arg0_1
2023-01-11T21:01:51.7764194Z     del arg1_1
2023-01-11T21:01:51.7764453Z     buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7764653Z     aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1)))
2023-01-11T21:01:51.7764722Z     del buf1
2023-01-11T21:01:51.7764788Z     del buf2
2023-01-11T21:01:51.7764874Z     buf4 = buf3; del buf3  # reuse
2023-01-11T21:01:51.7764977Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.7765042Z     return (buf0, buf4, )
2023-01-11T21:01:51.7765049Z 
2023-01-11T21:01:51.7765053Z 
2023-01-11T21:01:51.7765128Z if __name__ == "__main__":
2023-01-11T21:01:51.7765241Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7765364Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7765573Z     arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7765773Z     arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7765892Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7765898Z 
2023-01-11T21:01:51.7765962Z ok (3.179s)
2023-01-11T21:01:51.7766397Z   test_bmm2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7766514Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7766775Z [2023-01-11 20:52:24,195] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47
2023-01-11T21:01:51.7767047Z [2023-01-11 20:52:24,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47
2023-01-11T21:01:51.7767052Z 
2023-01-11T21:01:51.7767148Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7767216Z import torch
2023-01-11T21:01:51.7767285Z import random
2023-01-11T21:01:51.7767398Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7767521Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7767526Z 
2023-01-11T21:01:51.7767591Z aten = torch.ops.aten
2023-01-11T21:01:51.7767724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7767814Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7767820Z 
2023-01-11T21:01:51.7767824Z 
2023-01-11T21:01:51.7767910Z async_compile.wait(globals())
2023-01-11T21:01:51.7767981Z del async_compile
2023-01-11T21:01:51.7767986Z 
2023-01-11T21:01:51.7768055Z def call(args):
2023-01-11T21:01:51.7768129Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7768199Z     args.clear()
2023-01-11T21:01:51.7768390Z     buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7768551Z     aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1)))
2023-01-11T21:01:51.7768621Z     del arg0_1
2023-01-11T21:01:51.7768685Z     del arg1_1
2023-01-11T21:01:51.7768755Z     return (buf0, )
2023-01-11T21:01:51.7768762Z 
2023-01-11T21:01:51.7768767Z 
2023-01-11T21:01:51.7768841Z if __name__ == "__main__":
2023-01-11T21:01:51.7768951Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7769075Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7769266Z     arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7769461Z     arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7769575Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7769580Z 
2023-01-11T21:01:51.7769647Z ok (0.024s)
2023-01-11T21:01:51.7770073Z   test_bool_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7770267Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7770526Z [2023-01-11 20:52:24,235] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48
2023-01-11T21:01:51.7770784Z [2023-01-11 20:52:25,753] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48
2023-01-11T21:01:51.7770790Z 
2023-01-11T21:01:51.7770883Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7770939Z import torch
2023-01-11T21:01:51.7771008Z import random
2023-01-11T21:01:51.7771120Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7771239Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7771246Z 
2023-01-11T21:01:51.7771323Z aten = torch.ops.aten
2023-01-11T21:01:51.7771456Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7771548Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7771553Z 
2023-01-11T21:01:51.7771557Z 
2023-01-11T21:01:51.7771690Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7771882Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7771999Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.7772100Z                        const bool* __restrict__ in_ptr1,
2023-01-11T21:01:51.7772197Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:51.7772290Z                        bool* __restrict__ out_ptr1,
2023-01-11T21:01:51.7772384Z                        bool* __restrict__ out_ptr2,
2023-01-11T21:01:51.7772474Z                        bool* __restrict__ out_ptr3,
2023-01-11T21:01:51.7772552Z                        bool* __restrict__ out_ptr4,
2023-01-11T21:01:51.7772644Z                        bool* __restrict__ out_ptr5,
2023-01-11T21:01:51.7772735Z                        bool* __restrict__ out_ptr6,
2023-01-11T21:01:51.7772824Z                        bool* __restrict__ out_ptr7,
2023-01-11T21:01:51.7772915Z                        bool* __restrict__ out_ptr8)
2023-01-11T21:01:51.7772976Z {
2023-01-11T21:01:51.7773051Z     #pragma GCC ivdep
2023-01-11T21:01:51.7773118Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.7773178Z     {
2023-01-11T21:01:51.7773239Z         {
2023-01-11T21:01:51.7773303Z             {
2023-01-11T21:01:51.7773389Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7773476Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.7773565Z                 auto tmp2 = tmp0 || tmp1;
2023-01-11T21:01:51.7773641Z                 auto tmp3 = tmp0 && tmp1;
2023-01-11T21:01:51.7773725Z                 auto tmp4 = tmp0 & tmp1;
2023-01-11T21:01:51.7773808Z                 auto tmp5 = tmp0 | tmp1;
2023-01-11T21:01:51.7773898Z                 auto tmp6 = tmp0 ^ tmp1;
2023-01-11T21:01:51.7773981Z                 auto tmp7 = tmp0 == 0;
2023-01-11T21:01:51.7774061Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7774139Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.7774206Z                 out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.7774281Z                 out_ptr3[i0] = tmp5;
2023-01-11T21:01:51.7774358Z                 out_ptr4[i0] = tmp6;
2023-01-11T21:01:51.7774432Z                 out_ptr5[i0] = tmp3;
2023-01-11T21:01:51.7774508Z                 out_ptr6[i0] = tmp2;
2023-01-11T21:01:51.7774583Z                 out_ptr7[i0] = tmp7;
2023-01-11T21:01:51.7774657Z                 out_ptr8[i0] = tmp1;
2023-01-11T21:01:51.7774707Z             }
2023-01-11T21:01:51.7774769Z         }
2023-01-11T21:01:51.7774827Z     }
2023-01-11T21:01:51.7774884Z }
2023-01-11T21:01:51.7774963Z ''')
2023-01-11T21:01:51.7774968Z 
2023-01-11T21:01:51.7774973Z 
2023-01-11T21:01:51.7775060Z async_compile.wait(globals())
2023-01-11T21:01:51.7775162Z del async_compile
2023-01-11T21:01:51.7775167Z 
2023-01-11T21:01:51.7775224Z def call(args):
2023-01-11T21:01:51.7775297Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7775366Z     args.clear()
2023-01-11T21:01:51.7775580Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7775767Z     buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7775949Z     buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7776130Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7776308Z     buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7776474Z     buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7776653Z     buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7776832Z     buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7777011Z     buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7777365Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2023-01-11T21:01:51.7777434Z     del arg0_1
2023-01-11T21:01:51.7777497Z     del arg1_1
2023-01-11T21:01:51.7777616Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2023-01-11T21:01:51.7777622Z 
2023-01-11T21:01:51.7777626Z 
2023-01-11T21:01:51.7777689Z if __name__ == "__main__":
2023-01-11T21:01:51.7777803Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7777926Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7778111Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7778297Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.7778411Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7778416Z 
2023-01-11T21:01:51.7778484Z ok (1.557s)
2023-01-11T21:01:51.7778814Z   test_both_scalars_cpu (__main__.CpuTests) ... [2023-01-11 20:52:25,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49
2023-01-11T21:01:51.7779079Z [2023-01-11 20:52:27,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49
2023-01-11T21:01:51.7779084Z 
2023-01-11T21:01:51.7779166Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7779236Z import torch
2023-01-11T21:01:51.7779306Z import random
2023-01-11T21:01:51.7779421Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7779539Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7779544Z 
2023-01-11T21:01:51.7779622Z aten = torch.ops.aten
2023-01-11T21:01:51.7779757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7779834Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7779852Z 
2023-01-11T21:01:51.7779856Z 
2023-01-11T21:01:51.7779977Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7780180Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7780291Z extern "C" void kernel(float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7780388Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7780481Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.7780572Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.7780667Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:51.7780746Z                        float* __restrict__ out_ptr5)
2023-01-11T21:01:51.7780808Z {
2023-01-11T21:01:51.7780868Z     {
2023-01-11T21:01:51.7780931Z         {
2023-01-11T21:01:51.7781030Z             auto tmp0 = static_cast<float>(4);
2023-01-11T21:01:51.7781154Z             auto tmp1 = static_cast<float>(3.3);
2023-01-11T21:01:51.7781241Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7781317Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:51.7781407Z         }
2023-01-11T21:01:51.7781467Z     }
2023-01-11T21:01:51.7781525Z     {
2023-01-11T21:01:51.7781573Z         {
2023-01-11T21:01:51.7781672Z             auto tmp0 = static_cast<float>(3.3);
2023-01-11T21:01:51.7781767Z             auto tmp1 = static_cast<float>(4);
2023-01-11T21:01:51.7781848Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7781924Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:51.7781984Z         }
2023-01-11T21:01:51.7782043Z     }
2023-01-11T21:01:51.7782090Z     {
2023-01-11T21:01:51.7782149Z         {
2023-01-11T21:01:51.7782244Z             auto tmp0 = static_cast<float>(4);
2023-01-11T21:01:51.7782342Z             auto tmp1 = static_cast<float>(3.3);
2023-01-11T21:01:51.7782467Z             auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7782545Z             out_ptr2[0] = tmp2;
2023-01-11T21:01:51.7782592Z         }
2023-01-11T21:01:51.7782651Z     }
2023-01-11T21:01:51.7782709Z     {
2023-01-11T21:01:51.7782768Z         {
2023-01-11T21:01:51.7782865Z             auto tmp0 = static_cast<float>(3.3);
2023-01-11T21:01:51.7782961Z             auto tmp1 = static_cast<float>(4);
2023-01-11T21:01:51.7783083Z             auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7783146Z             out_ptr3[0] = tmp2;
2023-01-11T21:01:51.7783205Z         }
2023-01-11T21:01:51.7783268Z     }
2023-01-11T21:01:51.7783326Z     {
2023-01-11T21:01:51.7783386Z         {
2023-01-11T21:01:51.7783480Z             auto tmp0 = static_cast<float>(4);
2023-01-11T21:01:51.7783577Z             auto tmp1 = static_cast<float>(3.3);
2023-01-11T21:01:51.7783646Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7783721Z             out_ptr4[0] = tmp2;
2023-01-11T21:01:51.7783782Z         }
2023-01-11T21:01:51.7783840Z     }
2023-01-11T21:01:51.7783902Z     {
2023-01-11T21:01:51.7783961Z         {
2023-01-11T21:01:51.7784043Z             auto tmp0 = static_cast<float>(3.3);
2023-01-11T21:01:51.7784137Z             auto tmp1 = static_cast<float>(4);
2023-01-11T21:01:51.7784219Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7784295Z             out_ptr5[0] = tmp2;
2023-01-11T21:01:51.7784354Z         }
2023-01-11T21:01:51.7784412Z     }
2023-01-11T21:01:51.7784470Z }
2023-01-11T21:01:51.7784534Z ''')
2023-01-11T21:01:51.7784539Z 
2023-01-11T21:01:51.7784544Z 
2023-01-11T21:01:51.7784630Z async_compile.wait(globals())
2023-01-11T21:01:51.7784701Z del async_compile
2023-01-11T21:01:51.7784706Z 
2023-01-11T21:01:51.7784772Z def call(args):
2023-01-11T21:01:51.7784958Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7785137Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7785308Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7785483Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7785642Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7785812Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7786046Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2023-01-11T21:01:51.7786148Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2023-01-11T21:01:51.7786154Z 
2023-01-11T21:01:51.7786158Z 
2023-01-11T21:01:51.7786233Z if __name__ == "__main__":
2023-01-11T21:01:51.7786344Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7786465Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7786562Z     print_performance(lambda: call([]))
2023-01-11T21:01:51.7786568Z 
2023-01-11T21:01:51.7786620Z ok (1.566s)
2023-01-11T21:01:51.7787079Z   test_cat_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7787234Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7787491Z [2023-01-11 20:52:27,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50
2023-01-11T21:01:51.7787753Z [2023-01-11 20:52:28,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50
2023-01-11T21:01:51.7788149Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7788275Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7788528Z [2023-01-11 20:52:29,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51
2023-01-11T21:01:51.7788533Z 
2023-01-11T21:01:51.7788626Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7788694Z import torch
2023-01-11T21:01:51.7788763Z import random
2023-01-11T21:01:51.7788866Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7788984Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7788989Z 
2023-01-11T21:01:51.7789066Z aten = torch.ops.aten
2023-01-11T21:01:51.7789196Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7789286Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7789292Z 
2023-01-11T21:01:51.7789296Z 
2023-01-11T21:01:51.7789428Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7789632Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7789749Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7789834Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7789930Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7790022Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.7790113Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.7790202Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:51.7790299Z                        double* __restrict__ out_ptr5,
2023-01-11T21:01:51.7790393Z                        double* __restrict__ out_ptr6)
2023-01-11T21:01:51.7790440Z {
2023-01-11T21:01:51.7790514Z     #pragma GCC ivdep
2023-01-11T21:01:51.7790593Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7790652Z     {
2023-01-11T21:01:51.7790732Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.7790796Z         {
2023-01-11T21:01:51.7790941Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2023-01-11T21:01:51.7791061Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.7791147Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7791250Z             tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2023-01-11T21:01:51.7791346Z             tmp2.store(out_ptr1 + (8*i1) + (36*i0));
2023-01-11T21:01:51.7791408Z         }
2023-01-11T21:01:51.7791496Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7791579Z         for(long i1=16; i1<16; i1+=1)
2023-01-11T21:01:51.7791627Z         {
2023-01-11T21:01:51.7791723Z             auto tmp0 = in_ptr0[i1 + (16*i0)];
2023-01-11T21:01:51.7791820Z             auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7791904Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7791992Z             out_ptr0[i1 + (36*i0)] = tmp0;
2023-01-11T21:01:51.7792074Z             out_ptr1[i1 + (36*i0)] = tmp2;
2023-01-11T21:01:51.7792167Z         }
2023-01-11T21:01:51.7792214Z     }
2023-01-11T21:01:51.7792286Z     #pragma GCC ivdep
2023-01-11T21:01:51.7792363Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7792423Z     {
2023-01-11T21:01:51.7792525Z         #pragma GCC ivdep
2023-01-11T21:01:51.7792606Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.7792666Z         {
2023-01-11T21:01:51.7792716Z             {
2023-01-11T21:01:51.7792779Z                 {
2023-01-11T21:01:51.7792988Z                     auto tmp0 = in_ptr0[i1 + (16*i0)];
2023-01-11T21:01:51.7793094Z                     auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7793183Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7793275Z                     out_ptr2[i1 + (36*i0)] = tmp2;
2023-01-11T21:01:51.7793326Z                 }
2023-01-11T21:01:51.7793386Z             }
2023-01-11T21:01:51.7793447Z         }
2023-01-11T21:01:51.7793506Z     }
2023-01-11T21:01:51.7793580Z     #pragma GCC ivdep
2023-01-11T21:01:51.7793663Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.7793723Z     {
2023-01-11T21:01:51.7793770Z         {
2023-01-11T21:01:51.7793831Z             {
2023-01-11T21:01:51.7793917Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7794019Z                 auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7794105Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7794209Z                 auto tmp3 = static_cast<double>(tmp2);
2023-01-11T21:01:51.7794289Z                 out_ptr3[i0] = tmp2;
2023-01-11T21:01:51.7794354Z                 out_ptr4[i0] = tmp2;
2023-01-11T21:01:51.7794430Z                 out_ptr5[i0] = tmp3;
2023-01-11T21:01:51.7794506Z                 out_ptr6[i0] = tmp3;
2023-01-11T21:01:51.7794567Z             }
2023-01-11T21:01:51.7794626Z         }
2023-01-11T21:01:51.7794685Z     }
2023-01-11T21:01:51.7794730Z }
2023-01-11T21:01:51.7794812Z ''')
2023-01-11T21:01:51.7794817Z 
2023-01-11T21:01:51.7794821Z 
2023-01-11T21:01:51.7794909Z async_compile.wait(globals())
2023-01-11T21:01:51.7794984Z del async_compile
2023-01-11T21:01:51.7794989Z 
2023-01-11T21:01:51.7795056Z def call(args):
2023-01-11T21:01:51.7795123Z     arg0_1, = args
2023-01-11T21:01:51.7795192Z     args.clear()
2023-01-11T21:01:51.7795391Z     buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7795479Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2023-01-11T21:01:51.7795580Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2023-01-11T21:01:51.7795681Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2023-01-11T21:01:51.7795876Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7795973Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2023-01-11T21:01:51.7796073Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2023-01-11T21:01:51.7796265Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.7796363Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2023-01-11T21:01:51.7796453Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2023-01-11T21:01:51.7796732Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2023-01-11T21:01:51.7796801Z     del arg0_1
2023-01-11T21:01:51.7796885Z     return (buf3, buf6, buf9, )
2023-01-11T21:01:51.7796890Z 
2023-01-11T21:01:51.7796894Z 
2023-01-11T21:01:51.7796966Z if __name__ == "__main__":
2023-01-11T21:01:51.7797079Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7797199Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7797396Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7797490Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7797495Z 
2023-01-11T21:01:51.7797561Z 
2023-01-11T21:01:51.7797641Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7797710Z import torch
2023-01-11T21:01:51.7797780Z import random
2023-01-11T21:01:51.7797895Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7798041Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7798047Z 
2023-01-11T21:01:51.7798124Z aten = torch.ops.aten
2023-01-11T21:01:51.7798255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7798333Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7798338Z 
2023-01-11T21:01:51.7798342Z 
2023-01-11T21:01:51.7798474Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7798674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7798791Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7798896Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7798997Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.7799104Z                        const double* __restrict__ in_ptr3,
2023-01-11T21:01:51.7799200Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7799284Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7799377Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.7799468Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.7799557Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:51.7799647Z                        float* __restrict__ out_ptr5,
2023-01-11T21:01:51.7799741Z                        double* __restrict__ out_ptr6,
2023-01-11T21:01:51.7799832Z                        double* __restrict__ out_ptr7,
2023-01-11T21:01:51.7799911Z                        float* __restrict__ out_ptr8,
2023-01-11T21:01:51.7800005Z                        double* __restrict__ out_ptr9)
2023-01-11T21:01:51.7800064Z {
2023-01-11T21:01:51.7800140Z     #pragma GCC ivdep
2023-01-11T21:01:51.7800220Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.7800280Z     {
2023-01-11T21:01:51.7800357Z         #pragma GCC ivdep
2023-01-11T21:01:51.7800426Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.7800486Z         {
2023-01-11T21:01:51.7800566Z             #pragma GCC ivdep
2023-01-11T21:01:51.7800651Z             for(long i2=0; i2<16; i2+=1)
2023-01-11T21:01:51.7800713Z             {
2023-01-11T21:01:51.7800777Z                 {
2023-01-11T21:01:51.7800842Z                     {
2023-01-11T21:01:51.7800936Z                         auto tmp0 = in_ptr0[i0 + (3*i2) + (48*i1)];
2023-01-11T21:01:51.7801040Z                         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.7801133Z                         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7801237Z                         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.7801329Z                         auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.7801429Z                         out_ptr0[i2 + (48*i1) + (144*i0)] = tmp0;
2023-01-11T21:01:51.7801531Z                         out_ptr1[i2 + (48*i1) + (144*i0)] = tmp2;
2023-01-11T21:01:51.7801616Z                         out_ptr2[i2 + (48*i1) + (144*i0)] = tmp4;
2023-01-11T21:01:51.7801682Z                     }
2023-01-11T21:01:51.7801744Z                 }
2023-01-11T21:01:51.7801806Z             }
2023-01-11T21:01:51.7801866Z         }
2023-01-11T21:01:51.7801925Z     }
2023-01-11T21:01:51.7801996Z     #pragma GCC ivdep
2023-01-11T21:01:51.7802061Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.7802121Z     {
2023-01-11T21:01:51.7802195Z         #pragma GCC ivdep
2023-01-11T21:01:51.7802276Z         for(long i1=0; i1<144; i1+=1)
2023-01-11T21:01:51.7802336Z         {
2023-01-11T21:01:51.7802397Z             {
2023-01-11T21:01:51.7802448Z                 {
2023-01-11T21:01:51.7802548Z                     auto tmp0 = in_ptr1[i1 + (144*i0)];
2023-01-11T21:01:51.7802639Z                     out_ptr3[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.7802731Z                 }
2023-01-11T21:01:51.7802793Z             }
2023-01-11T21:01:51.7802854Z         }
2023-01-11T21:01:51.7802913Z     }
2023-01-11T21:01:51.7802973Z     #pragma GCC ivdep
2023-01-11T21:01:51.7803052Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.7803135Z     {
2023-01-11T21:01:51.7803211Z         #pragma GCC ivdep
2023-01-11T21:01:51.7803291Z         for(long i1=0; i1<48; i1+=1)
2023-01-11T21:01:51.7803470Z         {
2023-01-11T21:01:51.7803559Z             {
2023-01-11T21:01:51.7803642Z                 {
2023-01-11T21:01:51.7803762Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.7803864Z                     auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7803955Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.7804045Z                     out_ptr4[i1 + (48*i0)] = tmp2;
2023-01-11T21:01:51.7804109Z                 }
2023-01-11T21:01:51.7804171Z             }
2023-01-11T21:01:51.7804220Z         }
2023-01-11T21:01:51.7804281Z     }
2023-01-11T21:01:51.7804352Z     #pragma GCC ivdep
2023-01-11T21:01:51.7804431Z     for(long i0=0; i0<144; i0+=1)
2023-01-11T21:01:51.7804490Z     {
2023-01-11T21:01:51.7804550Z         {
2023-01-11T21:01:51.7804601Z             {
2023-01-11T21:01:51.7804688Z                 auto tmp0 = out_ptr4[i0];
2023-01-11T21:01:51.7804792Z                 auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:51.7804871Z                 out_ptr5[i0] = tmp0;
2023-01-11T21:01:51.7804950Z                 out_ptr6[i0] = tmp1;
2023-01-11T21:01:51.7805025Z                 out_ptr7[i0] = tmp1;
2023-01-11T21:01:51.7805086Z             }
2023-01-11T21:01:51.7805133Z         }
2023-01-11T21:01:51.7805190Z     }
2023-01-11T21:01:51.7805263Z     #pragma GCC ivdep
2023-01-11T21:01:51.7805340Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7805397Z     {
2023-01-11T21:01:51.7805472Z         #pragma GCC ivdep
2023-01-11T21:01:51.7805540Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.7805602Z         {
2023-01-11T21:01:51.7805679Z             #pragma GCC ivdep
2023-01-11T21:01:51.7805760Z             for(long i2=0; i2<48; i2+=1)
2023-01-11T21:01:51.7805822Z             {
2023-01-11T21:01:51.7805885Z                 {
2023-01-11T21:01:51.7805950Z                     {
2023-01-11T21:01:51.7806045Z                         auto tmp0 = in_ptr2[i2 + (48*i1) + (144*i0)];
2023-01-11T21:01:51.7806145Z                         out_ptr8[i1 + (3*i2) + (144*i0)] = tmp0;
2023-01-11T21:01:51.7806208Z                     }
2023-01-11T21:01:51.7806269Z                 }
2023-01-11T21:01:51.7806329Z             }
2023-01-11T21:01:51.7806387Z         }
2023-01-11T21:01:51.7806446Z     }
2023-01-11T21:01:51.7806506Z     #pragma GCC ivdep
2023-01-11T21:01:51.7806582Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7806640Z     {
2023-01-11T21:01:51.7806713Z         #pragma GCC ivdep
2023-01-11T21:01:51.7806791Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.7806851Z         {
2023-01-11T21:01:51.7806914Z             #pragma GCC ivdep
2023-01-11T21:01:51.7806999Z             for(long i2=0; i2<48; i2+=1)
2023-01-11T21:01:51.7807061Z             {
2023-01-11T21:01:51.7807122Z                 {
2023-01-11T21:01:51.7807184Z                     {
2023-01-11T21:01:51.7807293Z                         auto tmp0 = in_ptr3[i2 + (48*i1) + (144*i0)];
2023-01-11T21:01:51.7807392Z                         out_ptr9[i1 + (3*i2) + (144*i0)] = tmp0;
2023-01-11T21:01:51.7807444Z                     }
2023-01-11T21:01:51.7807506Z                 }
2023-01-11T21:01:51.7807567Z             }
2023-01-11T21:01:51.7807626Z         }
2023-01-11T21:01:51.7807686Z     }
2023-01-11T21:01:51.7807744Z }
2023-01-11T21:01:51.7807828Z ''')
2023-01-11T21:01:51.7807835Z 
2023-01-11T21:01:51.7807839Z 
2023-01-11T21:01:51.7807914Z async_compile.wait(globals())
2023-01-11T21:01:51.7807985Z del async_compile
2023-01-11T21:01:51.7807989Z 
2023-01-11T21:01:51.7808059Z def call(args):
2023-01-11T21:01:51.7808126Z     arg0_1, = args
2023-01-11T21:01:51.7808195Z     args.clear()
2023-01-11T21:01:51.7808474Z     buf3 = empty_strided((1, 3, 3, 48), (432, 144, 48, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7808583Z     buf0 = as_strided(buf3, (1, 3, 3, 16), (432, 144, 48, 1))  # alias
2023-01-11T21:01:51.7808740Z     buf1 = as_strided(buf3, (1, 3, 3, 16), (432, 144, 48, 1), 16)  # alias
2023-01-11T21:01:51.7808839Z     buf2 = as_strided(buf3, (1, 3, 3, 16), (432, 144, 48, 1), 32)  # alias
2023-01-11T21:01:51.7809053Z     buf4 = empty_strided((1, 3, 3, 48), (432, 1, 144, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7809264Z     buf7 = empty_strided((2, 3, 3, 16), (144, 48, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7809372Z     buf5 = as_strided(buf7, (1, 3, 3, 16), (144, 48, 16, 1))  # alias
2023-01-11T21:01:51.7809479Z     buf6 = as_strided(buf7, (1, 3, 3, 16), (144, 48, 16, 1), 144)  # alias
2023-01-11T21:01:51.7809691Z     buf11 = empty_strided((2, 3, 3, 16), (144, 48, 16, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.7809800Z     buf9 = as_strided(buf11, (1, 3, 3, 16), (144, 48, 16, 1))  # alias
2023-01-11T21:01:51.7809912Z     buf10 = as_strided(buf11, (1, 3, 3, 16), (144, 48, 16, 1), 144)  # alias
2023-01-11T21:01:51.7810111Z     buf8 = empty_strided((2, 3, 3, 16), (144, 1, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7810320Z     buf12 = empty_strided((2, 3, 3, 16), (144, 1, 48, 3), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.7810737Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf12.data_ptr()))
2023-01-11T21:01:51.7810804Z     del arg0_1
2023-01-11T21:01:51.7810866Z     del buf0
2023-01-11T21:01:51.7810927Z     del buf1
2023-01-11T21:01:51.7810992Z     del buf10
2023-01-11T21:01:51.7811056Z     del buf11
2023-01-11T21:01:51.7811106Z     del buf2
2023-01-11T21:01:51.7811166Z     del buf3
2023-01-11T21:01:51.7811228Z     del buf5
2023-01-11T21:01:51.7811289Z     del buf6
2023-01-11T21:01:51.7811351Z     del buf7
2023-01-11T21:01:51.7811414Z     del buf9
2023-01-11T21:01:51.7811486Z     return (buf4, buf8, buf12, )
2023-01-11T21:01:51.7811503Z 
2023-01-11T21:01:51.7811507Z 
2023-01-11T21:01:51.7811570Z if __name__ == "__main__":
2023-01-11T21:01:51.7811683Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7811806Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7812018Z     arg0_1 = rand_strided((1, 3, 3, 16), (144, 1, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7812125Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7812392Z [2023-01-11 20:52:30,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51
2023-01-11T21:01:51.7812398Z 
2023-01-11T21:01:51.7812467Z ok (3.419s)
2023-01-11T21:01:51.7812913Z   test_cat_extern_kernel_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7813041Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7813283Z [2023-01-11 20:52:30,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52
2023-01-11T21:01:51.7813543Z [2023-01-11 20:52:32,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52
2023-01-11T21:01:51.7813548Z 
2023-01-11T21:01:51.7813641Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7813709Z import torch
2023-01-11T21:01:51.7813776Z import random
2023-01-11T21:01:51.7813921Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7814041Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7814046Z 
2023-01-11T21:01:51.7814122Z aten = torch.ops.aten
2023-01-11T21:01:51.7814270Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7814400Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7814406Z 
2023-01-11T21:01:51.7814412Z 
2023-01-11T21:01:51.7814602Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7814879Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7815095Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7815275Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7815386Z {
2023-01-11T21:01:51.7815522Z     #pragma GCC ivdep
2023-01-11T21:01:51.7815630Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.7815705Z     {
2023-01-11T21:01:51.7815786Z         for(long i1=0; i1<32; i1+=1)
2023-01-11T21:01:51.7815849Z         {
2023-01-11T21:01:51.7815996Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (256*i0));
2023-01-11T21:01:51.7816098Z             tmp0.store(out_ptr0 + (8*i1) + (512*i0));
2023-01-11T21:01:51.7816162Z         }
2023-01-11T21:01:51.7816238Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7816321Z         for(long i1=256; i1<256; i1+=1)
2023-01-11T21:01:51.7816383Z         {
2023-01-11T21:01:51.7816478Z             auto tmp0 = in_ptr0[i1 + (256*i0)];
2023-01-11T21:01:51.7816568Z             out_ptr0[i1 + (512*i0)] = tmp0;
2023-01-11T21:01:51.7816629Z         }
2023-01-11T21:01:51.7816676Z     }
2023-01-11T21:01:51.7816734Z }
2023-01-11T21:01:51.7816817Z ''')
2023-01-11T21:01:51.7816823Z 
2023-01-11T21:01:51.7816827Z 
2023-01-11T21:01:51.7816913Z async_compile.wait(globals())
2023-01-11T21:01:51.7816986Z del async_compile
2023-01-11T21:01:51.7816991Z 
2023-01-11T21:01:51.7817059Z def call(args):
2023-01-11T21:01:51.7817150Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.7817220Z     args.clear()
2023-01-11T21:01:51.7817414Z     buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7817506Z     aten.mm.out(arg1_1, arg2_1, out=buf0)
2023-01-11T21:01:51.7817575Z     del arg1_1
2023-01-11T21:01:51.7817640Z     del arg2_1
2023-01-11T21:01:51.7817843Z     buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7817944Z     buf1 = as_strided(buf3, (256, 256), (512, 1))  # alias
2023-01-11T21:01:51.7818063Z     aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1)
2023-01-11T21:01:51.7818117Z     del arg3_1
2023-01-11T21:01:51.7818180Z     del buf0
2023-01-11T21:01:51.7818285Z     buf2 = as_strided(buf3, (256, 256), (512, 1), 256)  # alias
2023-01-11T21:01:51.7818415Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7818480Z     del arg0_1
2023-01-11T21:01:51.7818549Z     return (buf3, )
2023-01-11T21:01:51.7818557Z 
2023-01-11T21:01:51.7818561Z 
2023-01-11T21:01:51.7818634Z if __name__ == "__main__":
2023-01-11T21:01:51.7818745Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7818857Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7819059Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7819262Z     arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7819463Z     arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7819662Z     arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7819787Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.7819793Z 
2023-01-11T21:01:51.7819858Z ok (1.651s)
2023-01-11T21:01:51.7820343Z   test_cat_upcasting_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7820496Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7820742Z [2023-01-11 20:52:32,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53
2023-01-11T21:01:51.7821003Z [2023-01-11 20:52:33,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53
2023-01-11T21:01:51.7821009Z 
2023-01-11T21:01:51.7821102Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7821171Z import torch
2023-01-11T21:01:51.7821239Z import random
2023-01-11T21:01:51.7821356Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7821475Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7821482Z 
2023-01-11T21:01:51.7821559Z aten = torch.ops.aten
2023-01-11T21:01:51.7821677Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7821766Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7821771Z 
2023-01-11T21:01:51.7821777Z 
2023-01-11T21:01:51.7821908Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7822110Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7822226Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7822328Z                        const half* __restrict__ in_ptr1,
2023-01-11T21:01:51.7822426Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7822520Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7822568Z {
2023-01-11T21:01:51.7822641Z     #pragma GCC ivdep
2023-01-11T21:01:51.7822718Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7822778Z     {
2023-01-11T21:01:51.7822858Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.7822922Z         {
2023-01-11T21:01:51.7823061Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2023-01-11T21:01:51.7823147Z             tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2023-01-11T21:01:51.7823210Z         }
2023-01-11T21:01:51.7823300Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7823381Z         for(long i1=16; i1<16; i1+=1)
2023-01-11T21:01:51.7823442Z         {
2023-01-11T21:01:51.7823537Z             auto tmp0 = in_ptr0[i1 + (16*i0)];
2023-01-11T21:01:51.7823611Z             out_ptr0[i1 + (36*i0)] = tmp0;
2023-01-11T21:01:51.7823671Z         }
2023-01-11T21:01:51.7823731Z     }
2023-01-11T21:01:51.7823805Z     #pragma GCC ivdep
2023-01-11T21:01:51.7823883Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7823941Z     {
2023-01-11T21:01:51.7824017Z         #pragma GCC ivdep
2023-01-11T21:01:51.7824084Z         for(long i1=0; i1<20; i1+=1)
2023-01-11T21:01:51.7824144Z         {
2023-01-11T21:01:51.7824208Z             {
2023-01-11T21:01:51.7824271Z                 {
2023-01-11T21:01:51.7824391Z                     auto tmp0 = static_cast<float>(in_ptr1[i1 + (20*i0)]);
2023-01-11T21:01:51.7824497Z                     auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.7824590Z                     out_ptr1[i1 + (36*i0)] = tmp1;
2023-01-11T21:01:51.7824642Z                 }
2023-01-11T21:01:51.7824704Z             }
2023-01-11T21:01:51.7824764Z         }
2023-01-11T21:01:51.7824824Z     }
2023-01-11T21:01:51.7824882Z }
2023-01-11T21:01:51.7824959Z ''')
2023-01-11T21:01:51.7824964Z 
2023-01-11T21:01:51.7824968Z 
2023-01-11T21:01:51.7825055Z async_compile.wait(globals())
2023-01-11T21:01:51.7825114Z del async_compile
2023-01-11T21:01:51.7825120Z 
2023-01-11T21:01:51.7825189Z def call(args):
2023-01-11T21:01:51.7825263Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7825331Z     args.clear()
2023-01-11T21:01:51.7825529Z     buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7825663Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2023-01-11T21:01:51.7825766Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2023-01-11T21:01:51.7825968Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7826037Z     del arg0_1
2023-01-11T21:01:51.7826102Z     del arg1_1
2023-01-11T21:01:51.7826172Z     return (buf2, )
2023-01-11T21:01:51.7826177Z 
2023-01-11T21:01:51.7826182Z 
2023-01-11T21:01:51.7826258Z if __name__ == "__main__":
2023-01-11T21:01:51.7826372Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7826497Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7826698Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7826882Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.7826995Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7827003Z 
2023-01-11T21:01:51.7827071Z ok (1.542s)
2023-01-11T21:01:51.7827509Z   test_cauchy_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7827635Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7827892Z [2023-01-11 20:52:33,962] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54
2023-01-11T21:01:51.7828153Z [2023-01-11 20:52:35,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54
2023-01-11T21:01:51.7828159Z 
2023-01-11T21:01:51.7828251Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7828318Z import torch
2023-01-11T21:01:51.7828376Z import random
2023-01-11T21:01:51.7828491Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7828610Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7828615Z 
2023-01-11T21:01:51.7828691Z aten = torch.ops.aten
2023-01-11T21:01:51.7828825Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7828913Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7828918Z 
2023-01-11T21:01:51.7828922Z 
2023-01-11T21:01:51.7829053Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7829253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7829358Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7829458Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7829556Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7829614Z {
2023-01-11T21:01:51.7829673Z     {
2023-01-11T21:01:51.7829856Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.7829931Z         float tmp6 = 0;
2023-01-11T21:01:51.7830046Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:51.7830116Z         for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.7830179Z         {
2023-01-11T21:01:51.7830262Z             for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.7830324Z             {
2023-01-11T21:01:51.7830450Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2023-01-11T21:01:51.7830583Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:51.7830712Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7830799Z                 auto tmp3 = tmp2.reciprocal();
2023-01-11T21:01:51.7830932Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7831018Z                 auto tmp5 = tmp3 * tmp4;
2023-01-11T21:01:51.7831165Z                 tmp6_vec += tmp5;
2023-01-11T21:01:51.7831228Z             }
2023-01-11T21:01:51.7831425Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:51.7831569Z             #pragma omp simd simdlen(4)  reduction(+:tmp6)
2023-01-11T21:01:51.7831656Z             for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:51.7831706Z             {
2023-01-11T21:01:51.7831791Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7831876Z                 auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:51.7832004Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.7832086Z                 auto tmp3 = 1 / tmp2;
2023-01-11T21:01:51.7832185Z                 auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.7832269Z                 auto tmp5 = tmp3 * tmp4;
2023-01-11T21:01:51.7832330Z                 tmp6 += tmp5;
2023-01-11T21:01:51.7832392Z             }
2023-01-11T21:01:51.7832454Z         }
2023-01-11T21:01:51.7832531Z         out_ptr0[0] = tmp6;
2023-01-11T21:01:51.7832591Z     }
2023-01-11T21:01:51.7832648Z }
2023-01-11T21:01:51.7832712Z ''')
2023-01-11T21:01:51.7832729Z 
2023-01-11T21:01:51.7832733Z 
2023-01-11T21:01:51.7832809Z async_compile.wait(globals())
2023-01-11T21:01:51.7832969Z del async_compile
2023-01-11T21:01:51.7832978Z 
2023-01-11T21:01:51.7833049Z def call(args):
2023-01-11T21:01:51.7833123Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7833193Z     args.clear()
2023-01-11T21:01:51.7833380Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7833543Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7833597Z     del arg0_1
2023-01-11T21:01:51.7833664Z     del arg1_1
2023-01-11T21:01:51.7833731Z     return (buf0, )
2023-01-11T21:01:51.7833737Z 
2023-01-11T21:01:51.7833741Z 
2023-01-11T21:01:51.7833814Z if __name__ == "__main__":
2023-01-11T21:01:51.7833927Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7834052Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7834246Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7834440Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7834542Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7834547Z 
2023-01-11T21:01:51.7834612Z ok (1.532s)
2023-01-11T21:01:51.7835044Z   test_clamp_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7835170Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7835427Z [2023-01-11 20:52:35,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55
2023-01-11T21:01:51.7835690Z [2023-01-11 20:52:37,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55
2023-01-11T21:01:51.7835695Z 
2023-01-11T21:01:51.7835790Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7835859Z import torch
2023-01-11T21:01:51.7835926Z import random
2023-01-11T21:01:51.7836027Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7836146Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7836151Z 
2023-01-11T21:01:51.7836228Z aten = torch.ops.aten
2023-01-11T21:01:51.7836359Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7836448Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7836453Z 
2023-01-11T21:01:51.7836458Z 
2023-01-11T21:01:51.7836586Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7836789Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7836952Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7837043Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7837169Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7837266Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.7837358Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.7837417Z {
2023-01-11T21:01:51.7837495Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7837554Z     {
2023-01-11T21:01:51.7837674Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7837802Z         auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.7838017Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-0.10000000149011612));
2023-01-11T21:01:51.7838122Z         auto tmp2 = at::vec::maximum(tmp0, tmp1);
2023-01-11T21:01:51.7838260Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.10000000149011612));
2023-01-11T21:01:51.7838364Z         auto tmp4 = at::vec::minimum(tmp2, tmp3);
2023-01-11T21:01:51.7838493Z         auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2023-01-11T21:01:51.7838595Z         auto tmp7 = at::vec::maximum(tmp5, tmp6);
2023-01-11T21:01:51.7838678Z         auto tmp8 = tmp0 + tmp5;
2023-01-11T21:01:51.7838767Z         auto tmp9 = at::vec::minimum(tmp8, tmp6);
2023-01-11T21:01:51.7838854Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7838937Z         tmp7.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7839019Z         tmp9.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.7839078Z     }
2023-01-11T21:01:51.7839164Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7839242Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.7839289Z     {
2023-01-11T21:01:51.7839367Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7839446Z         auto tmp5 = in_ptr1[i0];
2023-01-11T21:01:51.7839614Z         auto tmp1 = static_cast<float>(-0.10000000149011612);
2023-01-11T21:01:51.7839732Z         auto tmp2 = (tmp1 != tmp1) ? tmp1 : std::max(tmp0, tmp1);
2023-01-11T21:01:51.7839839Z         auto tmp3 = static_cast<float>(0.10000000149011612);
2023-01-11T21:01:51.7839956Z         auto tmp4 = (tmp3 != tmp3) ? tmp3 : std::min(tmp2, tmp3);
2023-01-11T21:01:51.7840040Z         auto tmp6 = static_cast<float>(0.0);
2023-01-11T21:01:51.7840156Z         auto tmp7 = (tmp6 != tmp6) ? tmp6 : std::max(tmp5, tmp6);
2023-01-11T21:01:51.7840236Z         auto tmp8 = tmp0 + tmp5;
2023-01-11T21:01:51.7840350Z         auto tmp9 = (tmp6 != tmp6) ? tmp6 : std::min(tmp8, tmp6);
2023-01-11T21:01:51.7840429Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.7840503Z         out_ptr1[i0] = tmp7;
2023-01-11T21:01:51.7840577Z         out_ptr2[i0] = tmp9;
2023-01-11T21:01:51.7840624Z     }
2023-01-11T21:01:51.7840684Z }
2023-01-11T21:01:51.7840759Z ''')
2023-01-11T21:01:51.7840765Z 
2023-01-11T21:01:51.7840769Z 
2023-01-11T21:01:51.7840862Z async_compile.wait(globals())
2023-01-11T21:01:51.7840932Z del async_compile
2023-01-11T21:01:51.7840937Z 
2023-01-11T21:01:51.7841005Z def call(args):
2023-01-11T21:01:51.7841076Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.7841147Z     args.clear()
2023-01-11T21:01:51.7841329Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7841522Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7841709Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7841922Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7841989Z     del arg0_1
2023-01-11T21:01:51.7842053Z     del arg1_1
2023-01-11T21:01:51.7842134Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.7842140Z 
2023-01-11T21:01:51.7842144Z 
2023-01-11T21:01:51.7842219Z if __name__ == "__main__":
2023-01-11T21:01:51.7842352Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7842476Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7842698Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7842892Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7843005Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.7843010Z 
2023-01-11T21:01:51.7843075Z ok (1.554s)
2023-01-11T21:01:51.7843698Z   test_clone_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7843828Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7844092Z [2023-01-11 20:52:37,055] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56
2023-01-11T21:01:51.7844340Z [2023-01-11 20:52:38,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56
2023-01-11T21:01:51.7844358Z 
2023-01-11T21:01:51.7844439Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7844507Z import torch
2023-01-11T21:01:51.7844576Z import random
2023-01-11T21:01:51.7844688Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7844806Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7844811Z 
2023-01-11T21:01:51.7844887Z aten = torch.ops.aten
2023-01-11T21:01:51.7845017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7845094Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7845098Z 
2023-01-11T21:01:51.7845103Z 
2023-01-11T21:01:51.7845235Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7845435Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7845554Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7845653Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7845750Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7845809Z {
2023-01-11T21:01:51.7845877Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.7845937Z     {
2023-01-11T21:01:51.7846066Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7846194Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.7846274Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7846398Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.7846478Z         auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.7846565Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7846635Z         tmp4.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.7846697Z     }
2023-01-11T21:01:51.7846784Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7846864Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.7846923Z     {
2023-01-11T21:01:51.7847002Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7847098Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.7847165Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.7847258Z         auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:51.7847336Z         auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.7847412Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.7847489Z         out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.7847547Z     }
2023-01-11T21:01:51.7847593Z }
2023-01-11T21:01:51.7847669Z ''')
2023-01-11T21:01:51.7847675Z 
2023-01-11T21:01:51.7847679Z 
2023-01-11T21:01:51.7847764Z async_compile.wait(globals())
2023-01-11T21:01:51.7847834Z del async_compile
2023-01-11T21:01:51.7847839Z 
2023-01-11T21:01:51.7847905Z def call(args):
2023-01-11T21:01:51.7847972Z     arg0_1, = args
2023-01-11T21:01:51.7848099Z     args.clear()
2023-01-11T21:01:51.7848302Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7848485Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7848682Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7848753Z     del arg0_1
2023-01-11T21:01:51.7848828Z     return (buf0, buf1, )
2023-01-11T21:01:51.7848833Z 
2023-01-11T21:01:51.7848837Z 
2023-01-11T21:01:51.7848911Z if __name__ == "__main__":
2023-01-11T21:01:51.7849022Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7849143Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7849343Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7849438Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7849443Z 
2023-01-11T21:01:51.7849508Z ok (1.526s)
2023-01-11T21:01:51.7849956Z   test_constant_pad_1d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7850082Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7850336Z [2023-01-11 20:52:38,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57
2023-01-11T21:01:51.7850598Z [2023-01-11 20:52:40,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57
2023-01-11T21:01:51.7850603Z 
2023-01-11T21:01:51.7850693Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7850761Z import torch
2023-01-11T21:01:51.7850830Z import random
2023-01-11T21:01:51.7850931Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7851051Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7851056Z 
2023-01-11T21:01:51.7851131Z aten = torch.ops.aten
2023-01-11T21:01:51.7851266Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7851357Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7851361Z 
2023-01-11T21:01:51.7851366Z 
2023-01-11T21:01:51.7851497Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7851699Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7851815Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7851901Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7851995Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7852054Z {
2023-01-11T21:01:51.7852127Z     #pragma GCC ivdep
2023-01-11T21:01:51.7852206Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.7852265Z     {
2023-01-11T21:01:51.7852341Z         #pragma GCC ivdep
2023-01-11T21:01:51.7852409Z         for(long i1=0; i1<32; i1+=1)
2023-01-11T21:01:51.7852471Z         {
2023-01-11T21:01:51.7852533Z             {
2023-01-11T21:01:51.7852595Z                 {
2023-01-11T21:01:51.7852698Z                     auto tmp0 = static_cast<long>(i1);
2023-01-11T21:01:51.7852800Z                     auto tmp1 = static_cast<long>(31);
2023-01-11T21:01:51.7852890Z                     auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.7852959Z                     float tmp3 = 6.0;
2023-01-11T21:01:51.7853030Z                     if(tmp2)
2023-01-11T21:01:51.7853093Z                     {
2023-01-11T21:01:51.7853193Z                         auto tmp4 = in_ptr0[i1 + (31*i0)];
2023-01-11T21:01:51.7853271Z                         tmp3 = tmp4;
2023-01-11T21:01:51.7853334Z                     }
2023-01-11T21:01:51.7853446Z                     out_ptr0[i1 + (32*i0)] = tmp3;
2023-01-11T21:01:51.7853526Z                 }
2023-01-11T21:01:51.7853654Z             }
2023-01-11T21:01:51.7853726Z         }
2023-01-11T21:01:51.7853787Z     }
2023-01-11T21:01:51.7853862Z     #pragma GCC ivdep
2023-01-11T21:01:51.7853940Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.7853988Z     {
2023-01-11T21:01:51.7854090Z         #pragma GCC ivdep
2023-01-11T21:01:51.7854170Z         for(long i1=0; i1<36; i1+=1)
2023-01-11T21:01:51.7854229Z         {
2023-01-11T21:01:51.7854289Z             {
2023-01-11T21:01:51.7854353Z                 {
2023-01-11T21:01:51.7854521Z                     auto tmp0 = static_cast<long>((-2) + i1);
2023-01-11T21:01:51.7854610Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7854701Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7854800Z                     auto tmp3 = static_cast<long>(31);
2023-01-11T21:01:51.7854890Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7854979Z                     auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:51.7855061Z                     float tmp6 = 99.0;
2023-01-11T21:01:51.7855134Z                     if(tmp5)
2023-01-11T21:01:51.7855186Z                     {
2023-01-11T21:01:51.7855348Z                         auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)];
2023-01-11T21:01:51.7855427Z                         tmp6 = tmp7;
2023-01-11T21:01:51.7855492Z                     }
2023-01-11T21:01:51.7855583Z                     out_ptr1[i1 + (36*i0)] = tmp6;
2023-01-11T21:01:51.7855646Z                 }
2023-01-11T21:01:51.7855705Z             }
2023-01-11T21:01:51.7855753Z         }
2023-01-11T21:01:51.7855813Z     }
2023-01-11T21:01:51.7855871Z }
2023-01-11T21:01:51.7855947Z ''')
2023-01-11T21:01:51.7855952Z 
2023-01-11T21:01:51.7855957Z 
2023-01-11T21:01:51.7856044Z async_compile.wait(globals())
2023-01-11T21:01:51.7856144Z del async_compile
2023-01-11T21:01:51.7856151Z 
2023-01-11T21:01:51.7856241Z def call(args):
2023-01-11T21:01:51.7856323Z     arg0_1, = args
2023-01-11T21:01:51.7856421Z     args.clear()
2023-01-11T21:01:51.7856797Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7857182Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7857369Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7857436Z     del arg0_1
2023-01-11T21:01:51.7857511Z     return (buf0, buf1, )
2023-01-11T21:01:51.7857516Z 
2023-01-11T21:01:51.7857521Z 
2023-01-11T21:01:51.7857595Z if __name__ == "__main__":
2023-01-11T21:01:51.7857695Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7857817Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7858026Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7858133Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7858138Z 
2023-01-11T21:01:51.7858203Z ok (1.561s)
2023-01-11T21:01:51.7858644Z   test_constant_pad_2d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7858772Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7859030Z [2023-01-11 20:52:40,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58
2023-01-11T21:01:51.7859292Z [2023-01-11 20:52:41,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58
2023-01-11T21:01:51.7859297Z 
2023-01-11T21:01:51.7859377Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7859446Z import torch
2023-01-11T21:01:51.7859515Z import random
2023-01-11T21:01:51.7859628Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7859746Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7859792Z 
2023-01-11T21:01:51.7859870Z aten = torch.ops.aten
2023-01-11T21:01:51.7860000Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7860120Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7860126Z 
2023-01-11T21:01:51.7860130Z 
2023-01-11T21:01:51.7860251Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7860454Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7860571Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7860676Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7860772Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7860833Z {
2023-01-11T21:01:51.7860908Z     #pragma GCC ivdep
2023-01-11T21:01:51.7860975Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:51.7861034Z     {
2023-01-11T21:01:51.7861110Z         #pragma GCC ivdep
2023-01-11T21:01:51.7861191Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:51.7861252Z         {
2023-01-11T21:01:51.7861316Z             {
2023-01-11T21:01:51.7861379Z                 {
2023-01-11T21:01:51.7861533Z                     auto tmp0 = static_cast<long>((-1) + i0);
2023-01-11T21:01:51.7861635Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7861726Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7861826Z                     auto tmp3 = static_cast<long>(8);
2023-01-11T21:01:51.7861915Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7862078Z                     auto tmp5 = static_cast<long>((-1) + i1);
2023-01-11T21:01:51.7862167Z                     auto tmp6 = tmp5 >= tmp1;
2023-01-11T21:01:51.7862243Z                     auto tmp7 = tmp5 < tmp3;
2023-01-11T21:01:51.7862330Z                     auto tmp8 = tmp2 & tmp4;
2023-01-11T21:01:51.7862414Z                     auto tmp9 = tmp8 & tmp6;
2023-01-11T21:01:51.7862503Z                     auto tmp10 = tmp9 & tmp7;
2023-01-11T21:01:51.7862590Z                     float tmp11 = 6.0;
2023-01-11T21:01:51.7862661Z                     if(tmp10)
2023-01-11T21:01:51.7862726Z                     {
2023-01-11T21:01:51.7862879Z                         auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)];
2023-01-11T21:01:51.7862957Z                         tmp11 = tmp12;
2023-01-11T21:01:51.7863021Z                     }
2023-01-11T21:01:51.7863113Z                     out_ptr0[i1 + (10*i0)] = tmp11;
2023-01-11T21:01:51.7863176Z                 }
2023-01-11T21:01:51.7863239Z             }
2023-01-11T21:01:51.7863301Z         }
2023-01-11T21:01:51.7863349Z     }
2023-01-11T21:01:51.7863422Z     #pragma GCC ivdep
2023-01-11T21:01:51.7863502Z     for(long i0=0; i0<15; i0+=1)
2023-01-11T21:01:51.7863561Z     {
2023-01-11T21:01:51.7863636Z         #pragma GCC ivdep
2023-01-11T21:01:51.7863716Z         for(long i1=0; i1<11; i1+=1)
2023-01-11T21:01:51.7863779Z         {
2023-01-11T21:01:51.7863828Z             {
2023-01-11T21:01:51.7863892Z                 {
2023-01-11T21:01:51.7864052Z                     auto tmp0 = static_cast<long>((-3) + i0);
2023-01-11T21:01:51.7864151Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7864242Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7864341Z                     auto tmp3 = static_cast<long>(8);
2023-01-11T21:01:51.7864427Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7864577Z                     auto tmp5 = static_cast<long>((-1) + i1);
2023-01-11T21:01:51.7864664Z                     auto tmp6 = tmp5 >= tmp1;
2023-01-11T21:01:51.7864752Z                     auto tmp7 = tmp5 < tmp3;
2023-01-11T21:01:51.7864838Z                     auto tmp8 = tmp2 & tmp4;
2023-01-11T21:01:51.7864924Z                     auto tmp9 = tmp8 & tmp6;
2023-01-11T21:01:51.7865011Z                     auto tmp10 = tmp9 & tmp7;
2023-01-11T21:01:51.7865092Z                     float tmp11 = 99.0;
2023-01-11T21:01:51.7865152Z                     if(tmp10)
2023-01-11T21:01:51.7865248Z                     {
2023-01-11T21:01:51.7865413Z                         auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)];
2023-01-11T21:01:51.7865492Z                         tmp11 = tmp12;
2023-01-11T21:01:51.7865584Z                     }
2023-01-11T21:01:51.7865678Z                     out_ptr1[i1 + (11*i0)] = tmp11;
2023-01-11T21:01:51.7865741Z                 }
2023-01-11T21:01:51.7865791Z             }
2023-01-11T21:01:51.7865852Z         }
2023-01-11T21:01:51.7865913Z     }
2023-01-11T21:01:51.7865970Z }
2023-01-11T21:01:51.7866047Z ''')
2023-01-11T21:01:51.7866052Z 
2023-01-11T21:01:51.7866056Z 
2023-01-11T21:01:51.7866143Z async_compile.wait(globals())
2023-01-11T21:01:51.7866213Z del async_compile
2023-01-11T21:01:51.7866218Z 
2023-01-11T21:01:51.7866275Z def call(args):
2023-01-11T21:01:51.7866341Z     arg0_1, = args
2023-01-11T21:01:51.7866409Z     args.clear()
2023-01-11T21:01:51.7866626Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7866843Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7867009Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7867075Z     del arg0_1
2023-01-11T21:01:51.7867138Z     return (buf0, buf1, )
2023-01-11T21:01:51.7867157Z 
2023-01-11T21:01:51.7867162Z 
2023-01-11T21:01:51.7867224Z if __name__ == "__main__":
2023-01-11T21:01:51.7867336Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7867458Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7867667Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7867775Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7867780Z 
2023-01-11T21:01:51.7867846Z ok (1.550s)
2023-01-11T21:01:51.7868289Z   test_constant_pad_3d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7868418Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7868674Z [2023-01-11 20:52:41,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59
2023-01-11T21:01:51.7868923Z [2023-01-11 20:52:43,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59
2023-01-11T21:01:51.7868928Z 
2023-01-11T21:01:51.7869020Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7869087Z import torch
2023-01-11T21:01:51.7869156Z import random
2023-01-11T21:01:51.7869270Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7869390Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7869398Z 
2023-01-11T21:01:51.7869473Z aten = torch.ops.aten
2023-01-11T21:01:51.7869593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7869684Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7869689Z 
2023-01-11T21:01:51.7869695Z 
2023-01-11T21:01:51.7869827Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7870030Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7870145Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7870244Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7870340Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7870399Z {
2023-01-11T21:01:51.7870461Z     #pragma GCC ivdep
2023-01-11T21:01:51.7870539Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7870599Z     {
2023-01-11T21:01:51.7870673Z         #pragma GCC ivdep
2023-01-11T21:01:51.7870753Z         for(long i1=0; i1<15; i1+=1)
2023-01-11T21:01:51.7870844Z         {
2023-01-11T21:01:51.7870922Z             #pragma GCC ivdep
2023-01-11T21:01:51.7870995Z             for(long i2=0; i2<11; i2+=1)
2023-01-11T21:01:51.7871056Z             {
2023-01-11T21:01:51.7871161Z                 #pragma GCC ivdep
2023-01-11T21:01:51.7871252Z                 for(long i3=0; i3<7; i3+=1)
2023-01-11T21:01:51.7871314Z                 {
2023-01-11T21:01:51.7871380Z                     {
2023-01-11T21:01:51.7871445Z                         {
2023-01-11T21:01:51.7871603Z                             auto tmp0 = static_cast<long>((-5) + i1);
2023-01-11T21:01:51.7871707Z                             auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7871802Z                             auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7871907Z                             auto tmp3 = static_cast<long>(4);
2023-01-11T21:01:51.7872000Z                             auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7872169Z                             auto tmp5 = static_cast<long>((-3) + i2);
2023-01-11T21:01:51.7872264Z                             auto tmp6 = tmp5 >= tmp1;
2023-01-11T21:01:51.7872346Z                             auto tmp7 = tmp5 < tmp3;
2023-01-11T21:01:51.7872514Z                             auto tmp8 = static_cast<long>((-1) + i3);
2023-01-11T21:01:51.7872607Z                             auto tmp9 = tmp8 >= tmp1;
2023-01-11T21:01:51.7872698Z                             auto tmp10 = tmp8 < tmp3;
2023-01-11T21:01:51.7872787Z                             auto tmp11 = tmp2 & tmp4;
2023-01-11T21:01:51.7872961Z                             auto tmp12 = tmp11 & tmp6;
2023-01-11T21:01:51.7873058Z                             auto tmp13 = tmp12 & tmp7;
2023-01-11T21:01:51.7873152Z                             auto tmp14 = tmp13 & tmp9;
2023-01-11T21:01:51.7873237Z                             auto tmp15 = tmp14 & tmp10;
2023-01-11T21:01:51.7873326Z                             float tmp16 = 6.0;
2023-01-11T21:01:51.7873401Z                             if(tmp15)
2023-01-11T21:01:51.7873471Z                             {
2023-01-11T21:01:51.7873735Z                                 auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)];
2023-01-11T21:01:51.7873851Z                                 tmp16 = tmp17;
2023-01-11T21:01:51.7873954Z                             }
2023-01-11T21:01:51.7874054Z                             out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16;
2023-01-11T21:01:51.7874279Z                         }
2023-01-11T21:01:51.7874374Z                     }
2023-01-11T21:01:51.7874470Z                 }
2023-01-11T21:01:51.7874560Z             }
2023-01-11T21:01:51.7874657Z         }
2023-01-11T21:01:51.7874705Z     }
2023-01-11T21:01:51.7874844Z     #pragma GCC ivdep
2023-01-11T21:01:51.7874950Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.7875039Z     {
2023-01-11T21:01:51.7875167Z         #pragma GCC ivdep
2023-01-11T21:01:51.7875277Z         for(long i1=0; i1<11; i1+=1)
2023-01-11T21:01:51.7875365Z         {
2023-01-11T21:01:51.7875435Z             #pragma GCC ivdep
2023-01-11T21:01:51.7875553Z             for(long i2=0; i2<4; i2+=1)
2023-01-11T21:01:51.7875645Z             {
2023-01-11T21:01:51.7875736Z                 {
2023-01-11T21:01:51.7875832Z                     {
2023-01-11T21:01:51.7876032Z                         auto tmp0 = static_cast<long>((-3) + i1);
2023-01-11T21:01:51.7876189Z                         auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.7876271Z                         auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.7876400Z                         auto tmp3 = static_cast<long>(4);
2023-01-11T21:01:51.7876530Z                         auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.7876649Z                         auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:51.7876789Z                         float tmp6 = 6.0;
2023-01-11T21:01:51.7876892Z                         if(tmp5)
2023-01-11T21:01:51.7876987Z                         {
2023-01-11T21:01:51.7877156Z                             auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)];
2023-01-11T21:01:51.7877310Z                             tmp6 = tmp7;
2023-01-11T21:01:51.7877427Z                         }
2023-01-11T21:01:51.7877564Z                         out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6;
2023-01-11T21:01:51.7877688Z                     }
2023-01-11T21:01:51.7877781Z                 }
2023-01-11T21:01:51.7877871Z             }
2023-01-11T21:01:51.7877919Z         }
2023-01-11T21:01:51.7878006Z     }
2023-01-11T21:01:51.7893315Z }
2023-01-11T21:01:51.7893513Z ''')
2023-01-11T21:01:51.7893520Z 
2023-01-11T21:01:51.7893525Z 
2023-01-11T21:01:51.7893643Z async_compile.wait(globals())
2023-01-11T21:01:51.7893719Z del async_compile
2023-01-11T21:01:51.7893725Z 
2023-01-11T21:01:51.7893795Z def call(args):
2023-01-11T21:01:51.7893865Z     arg0_1, = args
2023-01-11T21:01:51.7893936Z     args.clear()
2023-01-11T21:01:51.7894162Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7894365Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7894539Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7894607Z     del arg0_1
2023-01-11T21:01:51.7894686Z     return (buf0, buf1, )
2023-01-11T21:01:51.7894692Z 
2023-01-11T21:01:51.7894696Z 
2023-01-11T21:01:51.7894771Z if __name__ == "__main__":
2023-01-11T21:01:51.7894885Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7895008Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7895219Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7895315Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.7895332Z 
2023-01-11T21:01:51.7895386Z ok (1.587s)
2023-01-11T21:01:51.7895842Z   test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7895973Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7896236Z [2023-01-11 20:52:43,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60
2023-01-11T21:01:51.7896499Z [2023-01-11 20:52:43,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60
2023-01-11T21:01:51.7896505Z 
2023-01-11T21:01:51.7896600Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7896667Z import torch
2023-01-11T21:01:51.7896738Z import random
2023-01-11T21:01:51.7896839Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7896960Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7896966Z 
2023-01-11T21:01:51.7897046Z aten = torch.ops.aten
2023-01-11T21:01:51.7897180Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7897269Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7897275Z 
2023-01-11T21:01:51.7897279Z 
2023-01-11T21:01:51.7897368Z async_compile.wait(globals())
2023-01-11T21:01:51.7897439Z del async_compile
2023-01-11T21:01:51.7897444Z 
2023-01-11T21:01:51.7897514Z def call(args):
2023-01-11T21:01:51.7897582Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.7897653Z     args.clear()
2023-01-11T21:01:51.7897816Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2023-01-11T21:01:51.7897885Z     del arg0_1
2023-01-11T21:01:51.7897951Z     del arg1_1
2023-01-11T21:01:51.7898015Z     del arg2_1
2023-01-11T21:01:51.7898083Z     buf1 = buf0[0]
2023-01-11T21:01:51.7898183Z     assert_size_stride(buf1, (2, 2048, 8, 8), (131072, 1, 16384, 2048))
2023-01-11T21:01:51.7898252Z     buf2 = buf0[1]
2023-01-11T21:01:51.7898494Z     assert_size_stride(buf2, (320, 2048, 1, 1), (2048, 1, 2048, 2048))
2023-01-11T21:01:51.7898562Z     buf3 = buf0[2]
2023-01-11T21:01:51.7898660Z     assert_size_stride(buf3, (320, ), (1, ))
2023-01-11T21:01:51.7898725Z     del buf0
2023-01-11T21:01:51.7898868Z     return (buf1, buf2, buf3, )
2023-01-11T21:01:51.7898875Z 
2023-01-11T21:01:51.7898879Z 
2023-01-11T21:01:51.7898953Z if __name__ == "__main__":
2023-01-11T21:01:51.7899053Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7899176Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7899400Z     arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7899621Z     arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7899848Z     arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7899970Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.7899978Z 
2023-01-11T21:01:51.7900044Z ok (0.127s)
2023-01-11T21:01:51.7900237Z   test_conv2d_binary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2023-01-11T21:01:51.7900687Z   test_conv2d_channels_last_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7900802Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7901065Z [2023-01-11 20:52:43,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61
2023-01-11T21:01:51.7901328Z [2023-01-11 20:52:44,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61
2023-01-11T21:01:51.7901729Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7901856Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7902111Z [2023-01-11 20:52:45,059] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62
2023-01-11T21:01:51.7902368Z [2023-01-11 20:52:45,081] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62
2023-01-11T21:01:51.7902759Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7902889Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7903140Z [2023-01-11 20:52:45,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63
2023-01-11T21:01:51.7903398Z [2023-01-11 20:52:45,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63
2023-01-11T21:01:51.7903404Z 
2023-01-11T21:01:51.7903484Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7903551Z import torch
2023-01-11T21:01:51.7903621Z import random
2023-01-11T21:01:51.7903736Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7903857Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7903862Z 
2023-01-11T21:01:51.7903939Z aten = torch.ops.aten
2023-01-11T21:01:51.7904074Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7904184Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7904203Z 
2023-01-11T21:01:51.7904207Z 
2023-01-11T21:01:51.7904328Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7904593Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7904713Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7904813Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7904870Z {
2023-01-11T21:01:51.7904946Z     #pragma GCC ivdep
2023-01-11T21:01:51.7905025Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7905073Z     {
2023-01-11T21:01:51.7905149Z         #pragma GCC ivdep
2023-01-11T21:01:51.7905229Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.7905292Z         {
2023-01-11T21:01:51.7905369Z             #pragma GCC ivdep
2023-01-11T21:01:51.7905455Z             for(long i2=0; i2<256; i2+=1)
2023-01-11T21:01:51.7905519Z             {
2023-01-11T21:01:51.7905570Z                 {
2023-01-11T21:01:51.7905638Z                     {
2023-01-11T21:01:51.7905747Z                         auto tmp0 = in_ptr0[i2 + (256*i1) + (768*i0)];
2023-01-11T21:01:51.7905847Z                         out_ptr0[i1 + (3*i2) + (768*i0)] = tmp0;
2023-01-11T21:01:51.7905913Z                     }
2023-01-11T21:01:51.7905975Z                 }
2023-01-11T21:01:51.7906035Z             }
2023-01-11T21:01:51.7906084Z         }
2023-01-11T21:01:51.7906144Z     }
2023-01-11T21:01:51.7906202Z }
2023-01-11T21:01:51.7906280Z ''')
2023-01-11T21:01:51.7906285Z 
2023-01-11T21:01:51.7906289Z 
2023-01-11T21:01:51.7906377Z async_compile.wait(globals())
2023-01-11T21:01:51.7906448Z del async_compile
2023-01-11T21:01:51.7906453Z 
2023-01-11T21:01:51.7906523Z def call(args):
2023-01-11T21:01:51.7906611Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.7906680Z     args.clear()
2023-01-11T21:01:51.7906894Z     buf0 = empty_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7907031Z     kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7907175Z     buf1 = aten.convolution(buf0, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.7907285Z     assert_size_stride(buf1, (2, 3, 16, 16), (768, 1, 48, 3))
2023-01-11T21:01:51.7907350Z     del buf0
2023-01-11T21:01:51.7907409Z     del primals_2
2023-01-11T21:01:51.7907505Z     return (buf1, primals_1, primals_3, )
2023-01-11T21:01:51.7907510Z 
2023-01-11T21:01:51.7907515Z 
2023-01-11T21:01:51.7907588Z if __name__ == "__main__":
2023-01-11T21:01:51.7907699Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7907822Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7908038Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7908236Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7908454Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7908580Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.7908597Z 
2023-01-11T21:01:51.7908602Z 
2023-01-11T21:01:51.7908683Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7908752Z import torch
2023-01-11T21:01:51.7908823Z import random
2023-01-11T21:01:51.7908936Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7909055Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7909060Z 
2023-01-11T21:01:51.7909135Z aten = torch.ops.aten
2023-01-11T21:01:51.7909267Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7909344Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7909362Z 
2023-01-11T21:01:51.7909366Z 
2023-01-11T21:01:51.7909440Z async_compile.wait(globals())
2023-01-11T21:01:51.7909513Z del async_compile
2023-01-11T21:01:51.7909518Z 
2023-01-11T21:01:51.7909588Z def call(args):
2023-01-11T21:01:51.7909725Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.7909794Z     args.clear()
2023-01-11T21:01:51.7909944Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.7910083Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2023-01-11T21:01:51.7910143Z     del primals_2
2023-01-11T21:01:51.7910241Z     return (buf0, primals_1, primals_3, )
2023-01-11T21:01:51.7910246Z 
2023-01-11T21:01:51.7910250Z 
2023-01-11T21:01:51.7910323Z if __name__ == "__main__":
2023-01-11T21:01:51.7910433Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7910554Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7910768Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7910964Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7911180Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7911306Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.7911323Z 
2023-01-11T21:01:51.7911327Z 
2023-01-11T21:01:51.7911410Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7911479Z import torch
2023-01-11T21:01:51.7911548Z import random
2023-01-11T21:01:51.7911664Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7911781Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7911786Z 
2023-01-11T21:01:51.7911861Z aten = torch.ops.aten
2023-01-11T21:01:51.7911992Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7912069Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7912087Z 
2023-01-11T21:01:51.7912091Z 
2023-01-11T21:01:51.7912165Z async_compile.wait(globals())
2023-01-11T21:01:51.7912236Z del async_compile
2023-01-11T21:01:51.7912241Z 
2023-01-11T21:01:51.7912310Z def call(args):
2023-01-11T21:01:51.7912410Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.7912478Z     args.clear()
2023-01-11T21:01:51.7912628Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.7912735Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2023-01-11T21:01:51.7912793Z     del primals_2
2023-01-11T21:01:51.7912974Z     return (buf0, primals_1, primals_3, )
2023-01-11T21:01:51.7912981Z 
2023-01-11T21:01:51.7912985Z 
2023-01-11T21:01:51.7913059Z if __name__ == "__main__":
2023-01-11T21:01:51.7913172Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7913295Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7913518Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7913713Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7913931Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7914057Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.7914075Z 
2023-01-11T21:01:51.7914129Z ok (1.795s)
2023-01-11T21:01:51.7914572Z   test_conv2d_packed_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7914702Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7914961Z [2023-01-11 20:52:45,218] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64
2023-01-11T21:01:51.7915222Z [2023-01-11 20:52:46,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64
2023-01-11T21:01:51.7915260Z 
2023-01-11T21:01:51.7915354Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7915422Z import torch
2023-01-11T21:01:51.7915491Z import random
2023-01-11T21:01:51.7915593Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7915740Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7915747Z 
2023-01-11T21:01:51.7915822Z aten = torch.ops.aten
2023-01-11T21:01:51.7915955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7916047Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7916052Z 
2023-01-11T21:01:51.7916056Z 
2023-01-11T21:01:51.7916188Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7916394Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7916513Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7916610Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7916659Z {
2023-01-11T21:01:51.7916756Z     #pragma GCC ivdep
2023-01-11T21:01:51.7916835Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.7916895Z     {
2023-01-11T21:01:51.7916972Z         #pragma GCC ivdep
2023-01-11T21:01:51.7917052Z         for(long i1=0; i1<3136; i1+=1)
2023-01-11T21:01:51.7917104Z         {
2023-01-11T21:01:51.7917167Z             {
2023-01-11T21:01:51.7917229Z                 {
2023-01-11T21:01:51.7917333Z                     auto tmp0 = in_ptr0[i1 + (3136*i0)];
2023-01-11T21:01:51.7917427Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.7917490Z                 }
2023-01-11T21:01:51.7917552Z             }
2023-01-11T21:01:51.7917600Z         }
2023-01-11T21:01:51.7917659Z     }
2023-01-11T21:01:51.7917720Z }
2023-01-11T21:01:51.7917797Z ''')
2023-01-11T21:01:51.7917802Z 
2023-01-11T21:01:51.7917806Z 
2023-01-11T21:01:51.7917937Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.7918140Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7918261Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7918347Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7918408Z {
2023-01-11T21:01:51.7918482Z     #pragma GCC ivdep
2023-01-11T21:01:51.7918563Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.7918624Z     {
2023-01-11T21:01:51.7918699Z         #pragma GCC ivdep
2023-01-11T21:01:51.7918782Z         for(long i1=0; i1<324; i1+=1)
2023-01-11T21:01:51.7918830Z         {
2023-01-11T21:01:51.7918893Z             {
2023-01-11T21:01:51.7918956Z                 {
2023-01-11T21:01:51.7919055Z                     auto tmp0 = in_ptr0[i0 + (64*i1)];
2023-01-11T21:01:51.7919150Z                     out_ptr0[i1 + (324*i0)] = tmp0;
2023-01-11T21:01:51.7919214Z                 }
2023-01-11T21:01:51.7919277Z             }
2023-01-11T21:01:51.7919325Z         }
2023-01-11T21:01:51.7919385Z     }
2023-01-11T21:01:51.7919473Z }
2023-01-11T21:01:51.7919552Z ''')
2023-01-11T21:01:51.7919559Z 
2023-01-11T21:01:51.7919563Z 
2023-01-11T21:01:51.7919650Z async_compile.wait(globals())
2023-01-11T21:01:51.7919723Z del async_compile
2023-01-11T21:01:51.7919728Z 
2023-01-11T21:01:51.7919795Z def call(args):
2023-01-11T21:01:51.7919865Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.7919935Z     args.clear()
2023-01-11T21:01:51.7920151Z     buf0 = empty_strided((1, 3, 56, 56), (9408, 1, 168, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7920285Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7920352Z     del arg2_1
2023-01-11T21:01:51.7920603Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (3, 3), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.7920712Z     assert_size_stride(buf1, (1, 64, 18, 18), (20736, 1, 1152, 64))
2023-01-11T21:01:51.7920767Z     del arg0_1
2023-01-11T21:01:51.7920832Z     del arg1_1
2023-01-11T21:01:51.7920896Z     del buf0
2023-01-11T21:01:51.7921116Z     buf2 = empty_strided((1, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7921312Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.7921383Z     return (buf2, )
2023-01-11T21:01:51.7921389Z 
2023-01-11T21:01:51.7921422Z 
2023-01-11T21:01:51.7921497Z if __name__ == "__main__":
2023-01-11T21:01:51.7921611Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7921721Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7921933Z     arg0_1 = rand_strided((64, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7922127Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7922345Z     arg2_1 = rand_strided((1, 3, 56, 56), (9408, 3136, 56, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7922466Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.7922471Z 
2023-01-11T21:01:51.7922538Z ok (1.619s)
2023-01-11T21:01:51.7922727Z   test_conv2d_unary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:01:51.7923180Z   test_conv3d_channels_last_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7923309Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7923783Z [2023-01-11 20:52:46,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65
2023-01-11T21:01:51.7924047Z [2023-01-11 20:52:48,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65
2023-01-11T21:01:51.7924444Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7924575Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7924826Z [2023-01-11 20:52:48,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66
2023-01-11T21:01:51.7925085Z [2023-01-11 20:52:49,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66
2023-01-11T21:01:51.7925482Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7925614Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7925865Z [2023-01-11 20:52:50,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67
2023-01-11T21:01:51.7926125Z [2023-01-11 20:52:50,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67
2023-01-11T21:01:51.7926131Z 
2023-01-11T21:01:51.7926226Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7926283Z import torch
2023-01-11T21:01:51.7926353Z import random
2023-01-11T21:01:51.7926469Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7926592Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7926597Z 
2023-01-11T21:01:51.7926676Z aten = torch.ops.aten
2023-01-11T21:01:51.7926810Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7926905Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7926910Z 
2023-01-11T21:01:51.7926915Z 
2023-01-11T21:01:51.7927095Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7927287Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7927405Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7927541Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.7927603Z {
2023-01-11T21:01:51.7927684Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7927745Z     {
2023-01-11T21:01:51.7927888Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7927962Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7928029Z     }
2023-01-11T21:01:51.7928117Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7928195Z     for(long i0=8; i0<9; i0+=1)
2023-01-11T21:01:51.7928254Z     {
2023-01-11T21:01:51.7928335Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7928411Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7928459Z     }
2023-01-11T21:01:51.7928518Z }
2023-01-11T21:01:51.7928597Z ''')
2023-01-11T21:01:51.7928602Z 
2023-01-11T21:01:51.7928606Z 
2023-01-11T21:01:51.7928693Z async_compile.wait(globals())
2023-01-11T21:01:51.7928766Z del async_compile
2023-01-11T21:01:51.7928771Z 
2023-01-11T21:01:51.7928840Z def call(args):
2023-01-11T21:01:51.7928944Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.7929002Z     args.clear()
2023-01-11T21:01:51.7929215Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7929354Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.7929502Z     buf1 = aten.convolution(primals_3, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.7929614Z     assert_size_stride(buf1, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2023-01-11T21:01:51.7929679Z     del buf0
2023-01-11T21:01:51.7929751Z     del primals_2
2023-01-11T21:01:51.7929849Z     return (buf1, primals_1, primals_3, )
2023-01-11T21:01:51.7929856Z 
2023-01-11T21:01:51.7929861Z 
2023-01-11T21:01:51.7929923Z if __name__ == "__main__":
2023-01-11T21:01:51.7930037Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7930158Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7930383Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7930584Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7930819Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7930957Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.7930963Z 
2023-01-11T21:01:51.7930967Z 
2023-01-11T21:01:51.7931060Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7931129Z import torch
2023-01-11T21:01:51.7931186Z import random
2023-01-11T21:01:51.7931302Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7931424Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7931429Z 
2023-01-11T21:01:51.7931506Z aten = torch.ops.aten
2023-01-11T21:01:51.7931637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7931729Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7931735Z 
2023-01-11T21:01:51.7931739Z 
2023-01-11T21:01:51.7931871Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7932075Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7932181Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7932284Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7932382Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7932479Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7932537Z {
2023-01-11T21:01:51.7932614Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7932705Z     {
2023-01-11T21:01:51.7932826Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7932913Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7932972Z     }
2023-01-11T21:01:51.7933083Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7933163Z     for(long i0=8; i0<9; i0+=1)
2023-01-11T21:01:51.7933223Z     {
2023-01-11T21:01:51.7933303Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7933367Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7933427Z     }
2023-01-11T21:01:51.7933502Z     #pragma GCC ivdep
2023-01-11T21:01:51.7933577Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7933636Z     {
2023-01-11T21:01:51.7933709Z         #pragma GCC ivdep
2023-01-11T21:01:51.7933781Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.7933842Z         {
2023-01-11T21:01:51.7933923Z             #pragma GCC ivdep
2023-01-11T21:01:51.7934010Z             for(long i2=0; i2<4096; i2+=1)
2023-01-11T21:01:51.7934073Z             {
2023-01-11T21:01:51.7934137Z                 {
2023-01-11T21:01:51.7934203Z                     {
2023-01-11T21:01:51.7934300Z                         auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2023-01-11T21:01:51.7934408Z                         out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2023-01-11T21:01:51.7934473Z                     }
2023-01-11T21:01:51.7934538Z                 }
2023-01-11T21:01:51.7934603Z             }
2023-01-11T21:01:51.7934664Z         }
2023-01-11T21:01:51.7934724Z     }
2023-01-11T21:01:51.7934770Z }
2023-01-11T21:01:51.7934850Z ''')
2023-01-11T21:01:51.7934855Z 
2023-01-11T21:01:51.7934859Z 
2023-01-11T21:01:51.7934948Z async_compile.wait(globals())
2023-01-11T21:01:51.7935019Z del async_compile
2023-01-11T21:01:51.7935024Z 
2023-01-11T21:01:51.7935092Z def call(args):
2023-01-11T21:01:51.7935191Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.7935260Z     args.clear()
2023-01-11T21:01:51.7935462Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7935694Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7935893Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7936040Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.7936153Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2023-01-11T21:01:51.7936218Z     del buf0
2023-01-11T21:01:51.7936282Z     del buf1
2023-01-11T21:01:51.7936353Z     del primals_2
2023-01-11T21:01:51.7936438Z     return (buf2, primals_1, primals_3, )
2023-01-11T21:01:51.7936444Z 
2023-01-11T21:01:51.7936448Z 
2023-01-11T21:01:51.7936523Z if __name__ == "__main__":
2023-01-11T21:01:51.7936636Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7936757Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7936983Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7937184Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7937416Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7937554Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.7937559Z 
2023-01-11T21:01:51.7937563Z 
2023-01-11T21:01:51.7937655Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7937712Z import torch
2023-01-11T21:01:51.7937782Z import random
2023-01-11T21:01:51.7937897Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7938017Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7938023Z 
2023-01-11T21:01:51.7938099Z aten = torch.ops.aten
2023-01-11T21:01:51.7938231Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7938354Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7938359Z 
2023-01-11T21:01:51.7938364Z 
2023-01-11T21:01:51.7938484Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.7938727Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.7938849Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.7938952Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.7939049Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.7939146Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.7939208Z {
2023-01-11T21:01:51.7939288Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.7939336Z     {
2023-01-11T21:01:51.7939467Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.7939553Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.7939613Z     }
2023-01-11T21:01:51.7939699Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.7939779Z     for(long i0=8; i0<9; i0+=1)
2023-01-11T21:01:51.7939838Z     {
2023-01-11T21:01:51.7939906Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.7939983Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.7940043Z     }
2023-01-11T21:01:51.7940119Z     #pragma GCC ivdep
2023-01-11T21:01:51.7940197Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.7940257Z     {
2023-01-11T21:01:51.7940320Z         #pragma GCC ivdep
2023-01-11T21:01:51.7940401Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.7940463Z         {
2023-01-11T21:01:51.7940542Z             #pragma GCC ivdep
2023-01-11T21:01:51.7940630Z             for(long i2=0; i2<4096; i2+=1)
2023-01-11T21:01:51.7940694Z             {
2023-01-11T21:01:51.7940758Z                 {
2023-01-11T21:01:51.7940810Z                     {
2023-01-11T21:01:51.7940921Z                         auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2023-01-11T21:01:51.7941025Z                         out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2023-01-11T21:01:51.7941092Z                     }
2023-01-11T21:01:51.7941154Z                 }
2023-01-11T21:01:51.7941216Z             }
2023-01-11T21:01:51.7941276Z         }
2023-01-11T21:01:51.7941323Z     }
2023-01-11T21:01:51.7941382Z }
2023-01-11T21:01:51.7941462Z ''')
2023-01-11T21:01:51.7941467Z 
2023-01-11T21:01:51.7941472Z 
2023-01-11T21:01:51.7941560Z async_compile.wait(globals())
2023-01-11T21:01:51.7941632Z del async_compile
2023-01-11T21:01:51.7941636Z 
2023-01-11T21:01:51.7941705Z def call(args):
2023-01-11T21:01:51.7941804Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.7941860Z     args.clear()
2023-01-11T21:01:51.7942077Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7942306Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7942504Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.7942650Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.7942766Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2023-01-11T21:01:51.7942832Z     del buf0
2023-01-11T21:01:51.7942895Z     del buf1
2023-01-11T21:01:51.7942953Z     del primals_2
2023-01-11T21:01:51.7943048Z     return (buf2, primals_1, primals_3, )
2023-01-11T21:01:51.7943053Z 
2023-01-11T21:01:51.7943058Z 
2023-01-11T21:01:51.7943131Z if __name__ == "__main__":
2023-01-11T21:01:51.7943242Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7943363Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7943587Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7943786Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7944049Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7944174Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.7944192Z 
2023-01-11T21:01:51.7944272Z ok (3.302s)
2023-01-11T21:01:51.7944413Z   test_conv_autotune_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2023-01-11T21:01:51.7944746Z   test_conv_backward_cpu (__main__.CpuTests) ... [2023-01-11 20:52:50,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68
2023-01-11T21:01:51.7945009Z [2023-01-11 20:52:50,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68
2023-01-11T21:01:51.7945015Z 
2023-01-11T21:01:51.7945107Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7945177Z import torch
2023-01-11T21:01:51.7945246Z import random
2023-01-11T21:01:51.7945347Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7945470Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7945475Z 
2023-01-11T21:01:51.7945553Z aten = torch.ops.aten
2023-01-11T21:01:51.7945684Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7945777Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7945783Z 
2023-01-11T21:01:51.7945787Z 
2023-01-11T21:01:51.7945872Z async_compile.wait(globals())
2023-01-11T21:01:51.7945944Z del async_compile
2023-01-11T21:01:51.7945949Z 
2023-01-11T21:01:51.7946019Z def call(args):
2023-01-11T21:01:51.7946132Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2023-01-11T21:01:51.7946203Z     args.clear()
2023-01-11T21:01:51.7946366Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2023-01-11T21:01:51.7946434Z     buf1 = buf0[0]
2023-01-11T21:01:51.7946540Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2023-01-11T21:01:51.7946607Z     buf2 = buf0[1]
2023-01-11T21:01:51.7946712Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2023-01-11T21:01:51.7946778Z     buf3 = buf0[2]
2023-01-11T21:01:51.7946859Z     assert_size_stride(buf3, (4, ), (1, ))
2023-01-11T21:01:51.7946922Z     del buf0
2023-01-11T21:01:51.7947088Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2023-01-11T21:01:51.7947155Z     del arg0_1
2023-01-11T21:01:51.7947219Z     del arg1_1
2023-01-11T21:01:51.7947282Z     del arg2_1
2023-01-11T21:01:51.7947349Z     buf5 = buf4[0]
2023-01-11T21:01:51.7947441Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2023-01-11T21:01:51.7947505Z     del buf4
2023-01-11T21:01:51.7947662Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2023-01-11T21:01:51.7947729Z     del arg3_1
2023-01-11T21:01:51.7947794Z     del arg4_1
2023-01-11T21:01:51.7947859Z     del arg5_1
2023-01-11T21:01:51.7947915Z     buf7 = buf6[0]
2023-01-11T21:01:51.7948017Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2023-01-11T21:01:51.7948084Z     buf8 = buf6[1]
2023-01-11T21:01:51.7948185Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2023-01-11T21:01:51.7948254Z     buf9 = buf6[2]
2023-01-11T21:01:51.7948346Z     assert_size_stride(buf9, (4, ), (1, ))
2023-01-11T21:01:51.7948410Z     del buf6
2023-01-11T21:01:51.7948578Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2023-01-11T21:01:51.7948632Z     del arg6_1
2023-01-11T21:01:51.7948697Z     del arg7_1
2023-01-11T21:01:51.7948764Z     del arg8_1
2023-01-11T21:01:51.7948834Z     buf11 = buf10[0]
2023-01-11T21:01:51.7948944Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2023-01-11T21:01:51.7949014Z     buf12 = buf10[1]
2023-01-11T21:01:51.7949108Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2023-01-11T21:01:51.7949204Z     buf13 = buf10[2]
2023-01-11T21:01:51.7949299Z     assert_size_stride(buf13, (4, ), (1, ))
2023-01-11T21:01:51.7949366Z     del buf10
2023-01-11T21:01:51.7949494Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2023-01-11T21:01:51.7949526Z 
2023-01-11T21:01:51.7949531Z 
2023-01-11T21:01:51.7949607Z if __name__ == "__main__":
2023-01-11T21:01:51.7949719Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7949839Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7950039Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7950248Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7950453Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7950652Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7950859Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7951058Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7951274Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7951491Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7951703Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7951851Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2023-01-11T21:01:51.7951856Z 
2023-01-11T21:01:51.7951923Z ok (0.146s)
2023-01-11T21:01:51.7952365Z   test_conv_bn_fuse_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7952495Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7952755Z [2023-01-11 20:52:50,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69
2023-01-11T21:01:51.7953091Z [2023-01-11 20:52:50,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69
2023-01-11T21:01:51.7953492Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7953617Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7953874Z [2023-01-11 20:52:50,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70
2023-01-11T21:01:51.7954151Z [2023-01-11 20:52:50,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70
2023-01-11T21:01:51.7954631Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7954759Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7954999Z [2023-01-11 20:52:50,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71
2023-01-11T21:01:51.7955259Z [2023-01-11 20:52:50,643] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71
2023-01-11T21:01:51.7955728Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7955856Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7956108Z [2023-01-11 20:52:50,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72
2023-01-11T21:01:51.7956366Z [2023-01-11 20:52:50,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72
2023-01-11T21:01:51.7956759Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7956887Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7957140Z [2023-01-11 20:52:50,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73
2023-01-11T21:01:51.7957401Z [2023-01-11 20:52:50,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73
2023-01-11T21:01:51.7957793Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7957904Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7958155Z [2023-01-11 20:52:51,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74
2023-01-11T21:01:51.7958163Z 
2023-01-11T21:01:51.7958259Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7958329Z import torch
2023-01-11T21:01:51.7958400Z import random
2023-01-11T21:01:51.7958518Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7958636Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7958642Z 
2023-01-11T21:01:51.7958720Z aten = torch.ops.aten
2023-01-11T21:01:51.7958840Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7958933Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7958938Z 
2023-01-11T21:01:51.7958942Z 
2023-01-11T21:01:51.7959030Z async_compile.wait(globals())
2023-01-11T21:01:51.7959101Z del async_compile
2023-01-11T21:01:51.7959105Z 
2023-01-11T21:01:51.7959173Z def call(args):
2023-01-11T21:01:51.7959291Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7959362Z     args.clear()
2023-01-11T21:01:51.7959492Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2023-01-11T21:01:51.7959586Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2023-01-11T21:01:51.7959654Z     del arg0_1
2023-01-11T21:01:51.7959721Z     del arg1_1
2023-01-11T21:01:51.7959787Z     del arg7_1
2023-01-11T21:01:51.7959857Z     return (buf0, )
2023-01-11T21:01:51.7959862Z 
2023-01-11T21:01:51.7959866Z 
2023-01-11T21:01:51.7959940Z if __name__ == "__main__":
2023-01-11T21:01:51.7960052Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7960161Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7960368Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7960560Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7960752Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7960938Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7961155Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7961340Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7961548Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7961746Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7961904Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7961910Z 
2023-01-11T21:01:51.7961915Z 
2023-01-11T21:01:51.7962008Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7962077Z import torch
2023-01-11T21:01:51.7962144Z import random
2023-01-11T21:01:51.7962259Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7962378Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7962383Z 
2023-01-11T21:01:51.7962459Z aten = torch.ops.aten
2023-01-11T21:01:51.7962581Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7962671Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7962676Z 
2023-01-11T21:01:51.7962680Z 
2023-01-11T21:01:51.7962769Z async_compile.wait(globals())
2023-01-11T21:01:51.7962841Z del async_compile
2023-01-11T21:01:51.7962846Z 
2023-01-11T21:01:51.7962916Z def call(args):
2023-01-11T21:01:51.7963032Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7963103Z     args.clear()
2023-01-11T21:01:51.7963232Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2023-01-11T21:01:51.7963326Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2023-01-11T21:01:51.7963543Z     del arg0_1
2023-01-11T21:01:51.7963646Z     del arg1_1
2023-01-11T21:01:51.7963714Z     del arg7_1
2023-01-11T21:01:51.7963784Z     return (buf0, )
2023-01-11T21:01:51.7963789Z 
2023-01-11T21:01:51.7963793Z 
2023-01-11T21:01:51.7963871Z if __name__ == "__main__":
2023-01-11T21:01:51.7963986Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7964109Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7964306Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7964499Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7964692Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7964879Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7965067Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7965254Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7965431Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7965640Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7965784Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7965790Z 
2023-01-11T21:01:51.7965808Z 
2023-01-11T21:01:51.7965890Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7965961Z import torch
2023-01-11T21:01:51.7966030Z import random
2023-01-11T21:01:51.7966143Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7966262Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7966267Z 
2023-01-11T21:01:51.7966343Z aten = torch.ops.aten
2023-01-11T21:01:51.7966474Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7966552Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7966557Z 
2023-01-11T21:01:51.7966561Z 
2023-01-11T21:01:51.7966648Z async_compile.wait(globals())
2023-01-11T21:01:51.7966719Z del async_compile
2023-01-11T21:01:51.7966724Z 
2023-01-11T21:01:51.7966793Z def call(args):
2023-01-11T21:01:51.7966966Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7967037Z     args.clear()
2023-01-11T21:01:51.7967168Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2023-01-11T21:01:51.7967307Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2023-01-11T21:01:51.7967362Z     del arg0_1
2023-01-11T21:01:51.7967427Z     del arg1_1
2023-01-11T21:01:51.7967492Z     del arg7_1
2023-01-11T21:01:51.7967565Z     return (buf0, )
2023-01-11T21:01:51.7967570Z 
2023-01-11T21:01:51.7967575Z 
2023-01-11T21:01:51.7967650Z if __name__ == "__main__":
2023-01-11T21:01:51.7967763Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7967885Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7968078Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7968268Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7968460Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7968643Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7968829Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7969013Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7969189Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7969398Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7969539Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7969561Z 
2023-01-11T21:01:51.7969565Z 
2023-01-11T21:01:51.7969645Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7969714Z import torch
2023-01-11T21:01:51.7969784Z import random
2023-01-11T21:01:51.7969898Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7970020Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7970025Z 
2023-01-11T21:01:51.7970103Z aten = torch.ops.aten
2023-01-11T21:01:51.7970238Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7970315Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7970320Z 
2023-01-11T21:01:51.7970340Z 
2023-01-11T21:01:51.7970413Z async_compile.wait(globals())
2023-01-11T21:01:51.7970483Z del async_compile
2023-01-11T21:01:51.7970488Z 
2023-01-11T21:01:51.7970557Z def call(args):
2023-01-11T21:01:51.7970672Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7970742Z     args.clear()
2023-01-11T21:01:51.7970874Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2023-01-11T21:01:51.7970980Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2023-01-11T21:01:51.7971035Z     del arg0_1
2023-01-11T21:01:51.7971100Z     del arg1_1
2023-01-11T21:01:51.7971165Z     del arg7_1
2023-01-11T21:01:51.7971234Z     return (buf0, )
2023-01-11T21:01:51.7971239Z 
2023-01-11T21:01:51.7971243Z 
2023-01-11T21:01:51.7971318Z if __name__ == "__main__":
2023-01-11T21:01:51.7971436Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7971559Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7971749Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7971941Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7972130Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7972317Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7972503Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7972689Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7972901Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7973108Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7973276Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7973298Z 
2023-01-11T21:01:51.7973302Z 
2023-01-11T21:01:51.7973384Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7973453Z import torch
2023-01-11T21:01:51.7973521Z import random
2023-01-11T21:01:51.7973635Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7973752Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7973757Z 
2023-01-11T21:01:51.7973834Z aten = torch.ops.aten
2023-01-11T21:01:51.7973968Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7974046Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7974067Z 
2023-01-11T21:01:51.7974071Z 
2023-01-11T21:01:51.7974147Z async_compile.wait(globals())
2023-01-11T21:01:51.7974218Z del async_compile
2023-01-11T21:01:51.7974224Z 
2023-01-11T21:01:51.7974293Z def call(args):
2023-01-11T21:01:51.7974408Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7974480Z     args.clear()
2023-01-11T21:01:51.7974608Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2023-01-11T21:01:51.7974713Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2023-01-11T21:01:51.7974767Z     del arg0_1
2023-01-11T21:01:51.7974833Z     del arg1_1
2023-01-11T21:01:51.7974896Z     del arg7_1
2023-01-11T21:01:51.7974966Z     return (buf0, )
2023-01-11T21:01:51.7974971Z 
2023-01-11T21:01:51.7974974Z 
2023-01-11T21:01:51.7975047Z if __name__ == "__main__":
2023-01-11T21:01:51.7975159Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7975280Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7975483Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7975662Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7975852Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7976036Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7976220Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7976404Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7976580Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7976786Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7976940Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7976946Z 
2023-01-11T21:01:51.7976950Z 
2023-01-11T21:01:51.7977033Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7977102Z import torch
2023-01-11T21:01:51.7977169Z import random
2023-01-11T21:01:51.7977284Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7977404Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7977409Z 
2023-01-11T21:01:51.7977485Z aten = torch.ops.aten
2023-01-11T21:01:51.7977615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7977705Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7977710Z 
2023-01-11T21:01:51.7977715Z 
2023-01-11T21:01:51.7977789Z async_compile.wait(globals())
2023-01-11T21:01:51.7977860Z del async_compile
2023-01-11T21:01:51.7977865Z 
2023-01-11T21:01:51.7977934Z def call(args):
2023-01-11T21:01:51.7978050Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7978122Z     args.clear()
2023-01-11T21:01:51.7978251Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2023-01-11T21:01:51.7978388Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2023-01-11T21:01:51.7978454Z     del arg0_1
2023-01-11T21:01:51.7978508Z     del arg1_1
2023-01-11T21:01:51.7978572Z     del arg7_1
2023-01-11T21:01:51.7978642Z     return (buf0, )
2023-01-11T21:01:51.7978685Z 
2023-01-11T21:01:51.7978690Z 
2023-01-11T21:01:51.7978765Z if __name__ == "__main__":
2023-01-11T21:01:51.7978878Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7978999Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7979207Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7979387Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7979579Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7979769Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7979956Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7980145Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7980323Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7980531Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7980683Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7980936Z [2023-01-11 20:52:51,079] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74
2023-01-11T21:01:51.7981336Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7981466Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7981722Z [2023-01-11 20:52:51,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75
2023-01-11T21:01:51.7981984Z [2023-01-11 20:52:51,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75
2023-01-11T21:01:51.7982383Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7982513Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7982762Z [2023-01-11 20:52:51,321] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76
2023-01-11T21:01:51.7983020Z [2023-01-11 20:52:51,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76
2023-01-11T21:01:51.7983416Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7983540Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7983790Z [2023-01-11 20:52:51,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77
2023-01-11T21:01:51.7984035Z [2023-01-11 20:52:51,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77
2023-01-11T21:01:51.7984430Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7984587Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7984866Z [2023-01-11 20:52:51,582] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78
2023-01-11T21:01:51.7985129Z [2023-01-11 20:52:51,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78
2023-01-11T21:01:51.7985523Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7985648Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7985899Z [2023-01-11 20:52:51,712] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79
2023-01-11T21:01:51.7986161Z [2023-01-11 20:52:51,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79
2023-01-11T21:01:51.7986558Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.7986682Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.7986919Z [2023-01-11 20:52:51,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80
2023-01-11T21:01:51.7986937Z 
2023-01-11T21:01:51.7986942Z 
2023-01-11T21:01:51.7987022Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7987093Z import torch
2023-01-11T21:01:51.7987167Z import random
2023-01-11T21:01:51.7987282Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7987400Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7987405Z 
2023-01-11T21:01:51.7987482Z aten = torch.ops.aten
2023-01-11T21:01:51.7987617Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7987694Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7987713Z 
2023-01-11T21:01:51.7987718Z 
2023-01-11T21:01:51.7987791Z async_compile.wait(globals())
2023-01-11T21:01:51.7987863Z del async_compile
2023-01-11T21:01:51.7987868Z 
2023-01-11T21:01:51.7987936Z def call(args):
2023-01-11T21:01:51.7988053Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7988124Z     args.clear()
2023-01-11T21:01:51.7988253Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2023-01-11T21:01:51.7988357Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2023-01-11T21:01:51.7988415Z     del arg0_1
2023-01-11T21:01:51.7988485Z     del arg1_1
2023-01-11T21:01:51.7988549Z     del arg7_1
2023-01-11T21:01:51.7988620Z     return (buf0, )
2023-01-11T21:01:51.7988625Z 
2023-01-11T21:01:51.7988629Z 
2023-01-11T21:01:51.7988705Z if __name__ == "__main__":
2023-01-11T21:01:51.7988817Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7988939Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7989144Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7989324Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7989517Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7989702Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7989887Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7990072Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7990285Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7990521Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7990680Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7990686Z 
2023-01-11T21:01:51.7990690Z 
2023-01-11T21:01:51.7990772Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7990839Z import torch
2023-01-11T21:01:51.7990907Z import random
2023-01-11T21:01:51.7991021Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7991139Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7991144Z 
2023-01-11T21:01:51.7991220Z aten = torch.ops.aten
2023-01-11T21:01:51.7991351Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7991440Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7991447Z 
2023-01-11T21:01:51.7991451Z 
2023-01-11T21:01:51.7991526Z async_compile.wait(globals())
2023-01-11T21:01:51.7991597Z del async_compile
2023-01-11T21:01:51.7991602Z 
2023-01-11T21:01:51.7991670Z def call(args):
2023-01-11T21:01:51.7991788Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7991861Z     args.clear()
2023-01-11T21:01:51.7991989Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2023-01-11T21:01:51.7992096Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2023-01-11T21:01:51.7992162Z     del arg0_1
2023-01-11T21:01:51.7992215Z     del arg1_1
2023-01-11T21:01:51.7992281Z     del arg7_1
2023-01-11T21:01:51.7992350Z     return (buf0, )
2023-01-11T21:01:51.7992355Z 
2023-01-11T21:01:51.7992359Z 
2023-01-11T21:01:51.7992432Z if __name__ == "__main__":
2023-01-11T21:01:51.7992544Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7992665Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7992942Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7993127Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7993320Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7993507Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7993696Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7993882Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7994061Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7994268Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7994425Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7994433Z 
2023-01-11T21:01:51.7994437Z 
2023-01-11T21:01:51.7994532Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7994588Z import torch
2023-01-11T21:01:51.7994659Z import random
2023-01-11T21:01:51.7994775Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7994896Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7994901Z 
2023-01-11T21:01:51.7994979Z aten = torch.ops.aten
2023-01-11T21:01:51.7995110Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7995200Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7995205Z 
2023-01-11T21:01:51.7995209Z 
2023-01-11T21:01:51.7995296Z async_compile.wait(globals())
2023-01-11T21:01:51.7995355Z del async_compile
2023-01-11T21:01:51.7995360Z 
2023-01-11T21:01:51.7995429Z def call(args):
2023-01-11T21:01:51.7995546Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7995615Z     args.clear()
2023-01-11T21:01:51.7995745Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2023-01-11T21:01:51.7995896Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2023-01-11T21:01:51.7995962Z     del arg0_1
2023-01-11T21:01:51.7996016Z     del arg1_1
2023-01-11T21:01:51.7996108Z     del arg7_1
2023-01-11T21:01:51.7996182Z     return (buf0, )
2023-01-11T21:01:51.7996187Z 
2023-01-11T21:01:51.7996192Z 
2023-01-11T21:01:51.7996265Z if __name__ == "__main__":
2023-01-11T21:01:51.7996380Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.7996500Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.7996708Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7996886Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7997073Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7997261Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7997448Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7997631Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7997812Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.7998019Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.7998178Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.7998183Z 
2023-01-11T21:01:51.7998187Z 
2023-01-11T21:01:51.7998282Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.7998338Z import torch
2023-01-11T21:01:51.7998409Z import random
2023-01-11T21:01:51.7998523Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.7998640Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.7998645Z 
2023-01-11T21:01:51.7998722Z aten = torch.ops.aten
2023-01-11T21:01:51.7998855Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.7998945Z async_compile = AsyncCompile()
2023-01-11T21:01:51.7998950Z 
2023-01-11T21:01:51.7998954Z 
2023-01-11T21:01:51.7999044Z async_compile.wait(globals())
2023-01-11T21:01:51.7999103Z del async_compile
2023-01-11T21:01:51.7999108Z 
2023-01-11T21:01:51.7999177Z def call(args):
2023-01-11T21:01:51.7999293Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.7999364Z     args.clear()
2023-01-11T21:01:51.7999492Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2023-01-11T21:01:51.7999599Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2023-01-11T21:01:51.7999666Z     del arg0_1
2023-01-11T21:01:51.7999718Z     del arg1_1
2023-01-11T21:01:51.7999786Z     del arg7_1
2023-01-11T21:01:51.7999856Z     return (buf0, )
2023-01-11T21:01:51.7999861Z 
2023-01-11T21:01:51.7999865Z 
2023-01-11T21:01:51.7999942Z if __name__ == "__main__":
2023-01-11T21:01:51.8000058Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8000178Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8000386Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8000579Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8000758Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8000945Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8001132Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8001317Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8001493Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8001702Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8001892Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8001898Z 
2023-01-11T21:01:51.8001902Z 
2023-01-11T21:01:51.8002022Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8002080Z import torch
2023-01-11T21:01:51.8002150Z import random
2023-01-11T21:01:51.8002266Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8002386Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8002391Z 
2023-01-11T21:01:51.8002468Z aten = torch.ops.aten
2023-01-11T21:01:51.8002597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8002690Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8002695Z 
2023-01-11T21:01:51.8002699Z 
2023-01-11T21:01:51.8002786Z async_compile.wait(globals())
2023-01-11T21:01:51.8002845Z del async_compile
2023-01-11T21:01:51.8002850Z 
2023-01-11T21:01:51.8002919Z def call(args):
2023-01-11T21:01:51.8003038Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8003108Z     args.clear()
2023-01-11T21:01:51.8003235Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2023-01-11T21:01:51.8003341Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2023-01-11T21:01:51.8003560Z     del arg0_1
2023-01-11T21:01:51.8003639Z     del arg1_1
2023-01-11T21:01:51.8003723Z     del arg7_1
2023-01-11T21:01:51.8003794Z     return (buf0, )
2023-01-11T21:01:51.8003800Z 
2023-01-11T21:01:51.8003804Z 
2023-01-11T21:01:51.8003879Z if __name__ == "__main__":
2023-01-11T21:01:51.8003992Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8004113Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8004322Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8004513Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8004690Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8004875Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8005064Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8005248Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8005424Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8005632Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8005786Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8005792Z 
2023-01-11T21:01:51.8005796Z 
2023-01-11T21:01:51.8005890Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8005959Z import torch
2023-01-11T21:01:51.8006015Z import random
2023-01-11T21:01:51.8006130Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8006250Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8006256Z 
2023-01-11T21:01:51.8006332Z aten = torch.ops.aten
2023-01-11T21:01:51.8006466Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8006556Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8006561Z 
2023-01-11T21:01:51.8006565Z 
2023-01-11T21:01:51.8006651Z async_compile.wait(globals())
2023-01-11T21:01:51.8006709Z del async_compile
2023-01-11T21:01:51.8006727Z 
2023-01-11T21:01:51.8006782Z def call(args):
2023-01-11T21:01:51.8006898Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8006969Z     args.clear()
2023-01-11T21:01:51.8007099Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2023-01-11T21:01:51.8007207Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2023-01-11T21:01:51.8007273Z     del arg0_1
2023-01-11T21:01:51.8007340Z     del arg1_1
2023-01-11T21:01:51.8007441Z     del arg7_1
2023-01-11T21:01:51.8007512Z     return (buf0, )
2023-01-11T21:01:51.8007518Z 
2023-01-11T21:01:51.8007522Z 
2023-01-11T21:01:51.8007596Z if __name__ == "__main__":
2023-01-11T21:01:51.8007781Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8007907Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8008116Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8008311Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8008504Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8008680Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8008868Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8009060Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8009239Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8009447Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8009605Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8009873Z [2023-01-11 20:52:51,865] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80
2023-01-11T21:01:51.8010274Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8010403Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8010647Z [2023-01-11 20:52:51,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81
2023-01-11T21:01:51.8010910Z [2023-01-11 20:52:51,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81
2023-01-11T21:01:51.8011311Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8011435Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8011686Z [2023-01-11 20:52:52,105] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82
2023-01-11T21:01:51.8011945Z [2023-01-11 20:52:52,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82
2023-01-11T21:01:51.8012342Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8012472Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8012721Z [2023-01-11 20:52:52,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83
2023-01-11T21:01:51.8012981Z [2023-01-11 20:52:52,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83
2023-01-11T21:01:51.8013373Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8013484Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8013764Z [2023-01-11 20:52:52,364] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84
2023-01-11T21:01:51.8014051Z [2023-01-11 20:52:52,385] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84
2023-01-11T21:01:51.8014449Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8014572Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8014823Z [2023-01-11 20:52:52,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85
2023-01-11T21:01:51.8014829Z 
2023-01-11T21:01:51.8014833Z 
2023-01-11T21:01:51.8014930Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8014998Z import torch
2023-01-11T21:01:51.8015069Z import random
2023-01-11T21:01:51.8015184Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8015293Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8015299Z 
2023-01-11T21:01:51.8015375Z aten = torch.ops.aten
2023-01-11T21:01:51.8015507Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8015599Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8015604Z 
2023-01-11T21:01:51.8015608Z 
2023-01-11T21:01:51.8015695Z async_compile.wait(globals())
2023-01-11T21:01:51.8015765Z del async_compile
2023-01-11T21:01:51.8015770Z 
2023-01-11T21:01:51.8015838Z def call(args):
2023-01-11T21:01:51.8015956Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8016014Z     args.clear()
2023-01-11T21:01:51.8016142Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2023-01-11T21:01:51.8016250Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2023-01-11T21:01:51.8016317Z     del arg0_1
2023-01-11T21:01:51.8016381Z     del arg1_1
2023-01-11T21:01:51.8016445Z     del arg7_1
2023-01-11T21:01:51.8016516Z     return (buf0, )
2023-01-11T21:01:51.8016523Z 
2023-01-11T21:01:51.8016527Z 
2023-01-11T21:01:51.8016589Z if __name__ == "__main__":
2023-01-11T21:01:51.8016701Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8016824Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8017029Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8017221Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8017411Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8017598Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8017784Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8017957Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8018136Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8018345Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8018499Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8018505Z 
2023-01-11T21:01:51.8018508Z 
2023-01-11T21:01:51.8018602Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8018669Z import torch
2023-01-11T21:01:51.8018738Z import random
2023-01-11T21:01:51.8018851Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8018959Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8018963Z 
2023-01-11T21:01:51.8019041Z aten = torch.ops.aten
2023-01-11T21:01:51.8019171Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8019292Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8019297Z 
2023-01-11T21:01:51.8019301Z 
2023-01-11T21:01:51.8019388Z async_compile.wait(globals())
2023-01-11T21:01:51.8019459Z del async_compile
2023-01-11T21:01:51.8019500Z 
2023-01-11T21:01:51.8019571Z def call(args):
2023-01-11T21:01:51.8019690Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8019749Z     args.clear()
2023-01-11T21:01:51.8019878Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2023-01-11T21:01:51.8019984Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2023-01-11T21:01:51.8020051Z     del arg0_1
2023-01-11T21:01:51.8020116Z     del arg1_1
2023-01-11T21:01:51.8020184Z     del arg7_1
2023-01-11T21:01:51.8020254Z     return (buf0, )
2023-01-11T21:01:51.8020259Z 
2023-01-11T21:01:51.8020263Z 
2023-01-11T21:01:51.8020337Z if __name__ == "__main__":
2023-01-11T21:01:51.8020437Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8020561Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8020768Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8020962Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8021153Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8021342Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8021529Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8021702Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8021882Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8022088Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8022243Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8022250Z 
2023-01-11T21:01:51.8022254Z 
2023-01-11T21:01:51.8022347Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8022416Z import torch
2023-01-11T21:01:51.8022487Z import random
2023-01-11T21:01:51.8022601Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8022709Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8022726Z 
2023-01-11T21:01:51.8022791Z aten = torch.ops.aten
2023-01-11T21:01:51.8022924Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8023013Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8023018Z 
2023-01-11T21:01:51.8023022Z 
2023-01-11T21:01:51.8023108Z async_compile.wait(globals())
2023-01-11T21:01:51.8023178Z del async_compile
2023-01-11T21:01:51.8023183Z 
2023-01-11T21:01:51.8023253Z def call(args):
2023-01-11T21:01:51.8023371Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8023430Z     args.clear()
2023-01-11T21:01:51.8023559Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2023-01-11T21:01:51.8023664Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2023-01-11T21:01:51.8023731Z     del arg0_1
2023-01-11T21:01:51.8023798Z     del arg1_1
2023-01-11T21:01:51.8023864Z     del arg7_1
2023-01-11T21:01:51.8023933Z     return (buf0, )
2023-01-11T21:01:51.8023938Z 
2023-01-11T21:01:51.8023942Z 
2023-01-11T21:01:51.8024016Z if __name__ == "__main__":
2023-01-11T21:01:51.8024116Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8024237Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8024441Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8024633Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8024822Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8025037Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8025223Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8025432Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8025601Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8025810Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8025963Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8025968Z 
2023-01-11T21:01:51.8025973Z 
2023-01-11T21:01:51.8026065Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8026132Z import torch
2023-01-11T21:01:51.8026201Z import random
2023-01-11T21:01:51.8026316Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8026435Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8026442Z 
2023-01-11T21:01:51.8026507Z aten = torch.ops.aten
2023-01-11T21:01:51.8026638Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8026727Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8026734Z 
2023-01-11T21:01:51.8026738Z 
2023-01-11T21:01:51.8026825Z async_compile.wait(globals())
2023-01-11T21:01:51.8026896Z del async_compile
2023-01-11T21:01:51.8026901Z 
2023-01-11T21:01:51.8026969Z def call(args):
2023-01-11T21:01:51.8027085Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8027155Z     args.clear()
2023-01-11T21:01:51.8027272Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2023-01-11T21:01:51.8027378Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2023-01-11T21:01:51.8027445Z     del arg0_1
2023-01-11T21:01:51.8027513Z     del arg1_1
2023-01-11T21:01:51.8027577Z     del arg7_1
2023-01-11T21:01:51.8027650Z     return (buf0, )
2023-01-11T21:01:51.8027655Z 
2023-01-11T21:01:51.8027659Z 
2023-01-11T21:01:51.8027731Z if __name__ == "__main__":
2023-01-11T21:01:51.8027832Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8027955Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8028160Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8028354Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8028546Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8028734Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8028921Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8029105Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8029269Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8029479Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8029633Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8029641Z 
2023-01-11T21:01:51.8029645Z 
2023-01-11T21:01:51.8029737Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8029807Z import torch
2023-01-11T21:01:51.8029877Z import random
2023-01-11T21:01:51.8029990Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8030108Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8030114Z 
2023-01-11T21:01:51.8030177Z aten = torch.ops.aten
2023-01-11T21:01:51.8030308Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8030398Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8030403Z 
2023-01-11T21:01:51.8030407Z 
2023-01-11T21:01:51.8030539Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8030772Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8030891Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8030992Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8031080Z {
2023-01-11T21:01:51.8031146Z     #pragma GCC ivdep
2023-01-11T21:01:51.8031227Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8031289Z     {
2023-01-11T21:01:51.8031366Z         #pragma GCC ivdep
2023-01-11T21:01:51.8031448Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8031510Z         {
2023-01-11T21:01:51.8031573Z             {
2023-01-11T21:01:51.8031625Z                 {
2023-01-11T21:01:51.8031728Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8031820Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8031884Z                 }
2023-01-11T21:01:51.8031946Z             }
2023-01-11T21:01:51.8032006Z         }
2023-01-11T21:01:51.8032057Z     }
2023-01-11T21:01:51.8032117Z }
2023-01-11T21:01:51.8032196Z ''')
2023-01-11T21:01:51.8032201Z 
2023-01-11T21:01:51.8032205Z 
2023-01-11T21:01:51.8032335Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8032540Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8032658Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8032756Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8032815Z {
2023-01-11T21:01:51.8032952Z     #pragma GCC ivdep
2023-01-11T21:01:51.8033038Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8033098Z     {
2023-01-11T21:01:51.8033177Z         #pragma GCC ivdep
2023-01-11T21:01:51.8033258Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8033319Z         {
2023-01-11T21:01:51.8033369Z             {
2023-01-11T21:01:51.8033434Z                 {
2023-01-11T21:01:51.8033535Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8033630Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8033695Z                 }
2023-01-11T21:01:51.8033759Z             }
2023-01-11T21:01:51.8033821Z         }
2023-01-11T21:01:51.8033868Z     }
2023-01-11T21:01:51.8033928Z }
2023-01-11T21:01:51.8034010Z ''')
2023-01-11T21:01:51.8034017Z 
2023-01-11T21:01:51.8034021Z 
2023-01-11T21:01:51.8034109Z async_compile.wait(globals())
2023-01-11T21:01:51.8034178Z del async_compile
2023-01-11T21:01:51.8034183Z 
2023-01-11T21:01:51.8034251Z def call(args):
2023-01-11T21:01:51.8034370Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8034440Z     args.clear()
2023-01-11T21:01:51.8034647Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8034783Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8034850Z     del arg7_1
2023-01-11T21:01:51.8035101Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8035213Z     assert_size_stride(buf1, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8035283Z     del arg0_1
2023-01-11T21:01:51.8035348Z     del arg1_1
2023-01-11T21:01:51.8035400Z     del buf0
2023-01-11T21:01:51.8035631Z     buf2 = empty_strided((1, 32, 112, 112), (401408, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8035762Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8035834Z     return (buf2, )
2023-01-11T21:01:51.8035839Z 
2023-01-11T21:01:51.8035843Z 
2023-01-11T21:01:51.8035917Z if __name__ == "__main__":
2023-01-11T21:01:51.8036034Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8036156Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8036366Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8036546Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8036776Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8036990Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8037177Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8037363Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8037541Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8037764Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8037920Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8038171Z [2023-01-11 20:52:54,058] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85
2023-01-11T21:01:51.8038575Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8038704Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8038959Z [2023-01-11 20:52:54,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86
2023-01-11T21:01:51.8039221Z [2023-01-11 20:52:54,208] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86
2023-01-11T21:01:51.8039616Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8039743Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8039996Z [2023-01-11 20:52:54,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87
2023-01-11T21:01:51.8040254Z [2023-01-11 20:52:55,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87
2023-01-11T21:01:51.8040646Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8040769Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8041021Z [2023-01-11 20:52:56,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88
2023-01-11T21:01:51.8041268Z [2023-01-11 20:52:56,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88
2023-01-11T21:01:51.8041663Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8041787Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8042039Z [2023-01-11 20:52:56,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89
2023-01-11T21:01:51.8042045Z 
2023-01-11T21:01:51.8042049Z 
2023-01-11T21:01:51.8042144Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8042214Z import torch
2023-01-11T21:01:51.8042284Z import random
2023-01-11T21:01:51.8042398Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8042549Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8042555Z 
2023-01-11T21:01:51.8042620Z aten = torch.ops.aten
2023-01-11T21:01:51.8042751Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8042870Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8042876Z 
2023-01-11T21:01:51.8042880Z 
2023-01-11T21:01:51.8042971Z async_compile.wait(globals())
2023-01-11T21:01:51.8043043Z del async_compile
2023-01-11T21:01:51.8043048Z 
2023-01-11T21:01:51.8043117Z def call(args):
2023-01-11T21:01:51.8043235Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8043306Z     args.clear()
2023-01-11T21:01:51.8043748Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8043863Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8043929Z     del arg0_1
2023-01-11T21:01:51.8043994Z     del arg1_1
2023-01-11T21:01:51.8044063Z     del arg7_1
2023-01-11T21:01:51.8044134Z     return (buf0, )
2023-01-11T21:01:51.8044139Z 
2023-01-11T21:01:51.8044144Z 
2023-01-11T21:01:51.8044217Z if __name__ == "__main__":
2023-01-11T21:01:51.8044331Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8044442Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8044654Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8044849Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8045040Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8045224Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8045409Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8045593Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8045759Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8045978Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8046132Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8046138Z 
2023-01-11T21:01:51.8046142Z 
2023-01-11T21:01:51.8046236Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8046307Z import torch
2023-01-11T21:01:51.8046376Z import random
2023-01-11T21:01:51.8046489Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8046609Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8046614Z 
2023-01-11T21:01:51.8046694Z aten = torch.ops.aten
2023-01-11T21:01:51.8046813Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8046904Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8046909Z 
2023-01-11T21:01:51.8046913Z 
2023-01-11T21:01:51.8047051Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8047254Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8047372Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8047475Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8047535Z {
2023-01-11T21:01:51.8047598Z     #pragma GCC ivdep
2023-01-11T21:01:51.8047677Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8047737Z     {
2023-01-11T21:01:51.8047812Z         #pragma GCC ivdep
2023-01-11T21:01:51.8047894Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8047959Z         {
2023-01-11T21:01:51.8048022Z             {
2023-01-11T21:01:51.8048074Z                 {
2023-01-11T21:01:51.8048178Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8048271Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8048333Z                 }
2023-01-11T21:01:51.8048451Z             }
2023-01-11T21:01:51.8048513Z         }
2023-01-11T21:01:51.8048573Z     }
2023-01-11T21:01:51.8048619Z }
2023-01-11T21:01:51.8048699Z ''')
2023-01-11T21:01:51.8048705Z 
2023-01-11T21:01:51.8048709Z 
2023-01-11T21:01:51.8048876Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8049082Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8049199Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8049300Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8049360Z {
2023-01-11T21:01:51.8049422Z     #pragma GCC ivdep
2023-01-11T21:01:51.8049502Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8049563Z     {
2023-01-11T21:01:51.8049641Z         #pragma GCC ivdep
2023-01-11T21:01:51.8049724Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8049785Z         {
2023-01-11T21:01:51.8049846Z             {
2023-01-11T21:01:51.8049897Z                 {
2023-01-11T21:01:51.8049999Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8050096Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8050159Z                 }
2023-01-11T21:01:51.8050219Z             }
2023-01-11T21:01:51.8050283Z         }
2023-01-11T21:01:51.8050345Z     }
2023-01-11T21:01:51.8050392Z }
2023-01-11T21:01:51.8050470Z ''')
2023-01-11T21:01:51.8050474Z 
2023-01-11T21:01:51.8050478Z 
2023-01-11T21:01:51.8050566Z async_compile.wait(globals())
2023-01-11T21:01:51.8050637Z del async_compile
2023-01-11T21:01:51.8050642Z 
2023-01-11T21:01:51.8050711Z def call(args):
2023-01-11T21:01:51.8050830Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8050900Z     args.clear()
2023-01-11T21:01:51.8051113Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8051246Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8051315Z     del arg7_1
2023-01-11T21:01:51.8051565Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8051679Z     assert_size_stride(buf1, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8051745Z     del arg0_1
2023-01-11T21:01:51.8051808Z     del arg1_1
2023-01-11T21:01:51.8051859Z     del buf0
2023-01-11T21:01:51.8052088Z     buf2 = empty_strided((1, 128, 112, 112), (1605632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8052221Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8052294Z     return (buf2, )
2023-01-11T21:01:51.8052299Z 
2023-01-11T21:01:51.8052303Z 
2023-01-11T21:01:51.8052377Z if __name__ == "__main__":
2023-01-11T21:01:51.8052492Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8052613Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8052823Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8053007Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8053202Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8053389Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8053577Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8053764Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8053942Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8054167Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8054321Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8054326Z 
2023-01-11T21:01:51.8054331Z 
2023-01-11T21:01:51.8054454Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8054510Z import torch
2023-01-11T21:01:51.8054579Z import random
2023-01-11T21:01:51.8054694Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8054840Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8054846Z 
2023-01-11T21:01:51.8054925Z aten = torch.ops.aten
2023-01-11T21:01:51.8055059Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8055153Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8055158Z 
2023-01-11T21:01:51.8055163Z 
2023-01-11T21:01:51.8055248Z async_compile.wait(globals())
2023-01-11T21:01:51.8055308Z del async_compile
2023-01-11T21:01:51.8055313Z 
2023-01-11T21:01:51.8055383Z def call(args):
2023-01-11T21:01:51.8055499Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8055569Z     args.clear()
2023-01-11T21:01:51.8055822Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8055937Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8056003Z     del arg0_1
2023-01-11T21:01:51.8056056Z     del arg1_1
2023-01-11T21:01:51.8056126Z     del arg7_1
2023-01-11T21:01:51.8056198Z     return (buf0, )
2023-01-11T21:01:51.8056203Z 
2023-01-11T21:01:51.8056207Z 
2023-01-11T21:01:51.8056280Z if __name__ == "__main__":
2023-01-11T21:01:51.8056393Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8056515Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8056727Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8056921Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8057100Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8057293Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8057484Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8057669Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8057849Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8058072Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8058225Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8058231Z 
2023-01-11T21:01:51.8058234Z 
2023-01-11T21:01:51.8058329Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8058398Z import torch
2023-01-11T21:01:51.8058454Z import random
2023-01-11T21:01:51.8058570Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8058689Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8058694Z 
2023-01-11T21:01:51.8058773Z aten = torch.ops.aten
2023-01-11T21:01:51.8058908Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8058997Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8059002Z 
2023-01-11T21:01:51.8059007Z 
2023-01-11T21:01:51.8059141Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8059346Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8059451Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8059552Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8059612Z {
2023-01-11T21:01:51.8059686Z     #pragma GCC ivdep
2023-01-11T21:01:51.8059765Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8059826Z     {
2023-01-11T21:01:51.8059890Z         #pragma GCC ivdep
2023-01-11T21:01:51.8059973Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8060035Z         {
2023-01-11T21:01:51.8060098Z             {
2023-01-11T21:01:51.8060160Z                 {
2023-01-11T21:01:51.8060292Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8060385Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8060437Z                 }
2023-01-11T21:01:51.8060500Z             }
2023-01-11T21:01:51.8060601Z         }
2023-01-11T21:01:51.8060665Z     }
2023-01-11T21:01:51.8060723Z }
2023-01-11T21:01:51.8060800Z ''')
2023-01-11T21:01:51.8060805Z 
2023-01-11T21:01:51.8060809Z 
2023-01-11T21:01:51.8060941Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8061131Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8061250Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8061350Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8061409Z {
2023-01-11T21:01:51.8061483Z     #pragma GCC ivdep
2023-01-11T21:01:51.8061563Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8061623Z     {
2023-01-11T21:01:51.8061689Z         #pragma GCC ivdep
2023-01-11T21:01:51.8061771Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8061833Z         {
2023-01-11T21:01:51.8061895Z             {
2023-01-11T21:01:51.8061958Z                 {
2023-01-11T21:01:51.8062063Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8062157Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8062209Z                 }
2023-01-11T21:01:51.8062272Z             }
2023-01-11T21:01:51.8062333Z         }
2023-01-11T21:01:51.8062394Z     }
2023-01-11T21:01:51.8062452Z }
2023-01-11T21:01:51.8062527Z ''')
2023-01-11T21:01:51.8062533Z 
2023-01-11T21:01:51.8062536Z 
2023-01-11T21:01:51.8062625Z async_compile.wait(globals())
2023-01-11T21:01:51.8062683Z del async_compile
2023-01-11T21:01:51.8062688Z 
2023-01-11T21:01:51.8062757Z def call(args):
2023-01-11T21:01:51.8062879Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8062949Z     args.clear()
2023-01-11T21:01:51.8063169Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8063301Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8063367Z     del arg7_1
2023-01-11T21:01:51.8063620Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8063719Z     assert_size_stride(buf1, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8063787Z     del arg0_1
2023-01-11T21:01:51.8063852Z     del arg1_1
2023-01-11T21:01:51.8063916Z     del buf0
2023-01-11T21:01:51.8064146Z     buf2 = empty_strided((1, 32, 112, 112), (401408, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8064278Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8064348Z     return (buf2, )
2023-01-11T21:01:51.8064353Z 
2023-01-11T21:01:51.8064358Z 
2023-01-11T21:01:51.8064419Z if __name__ == "__main__":
2023-01-11T21:01:51.8064535Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8064657Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8064869Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8065059Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8065248Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8065435Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8065620Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8065792Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8065970Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8066193Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8066383Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8066678Z [2023-01-11 20:52:56,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89
2023-01-11T21:01:51.8067085Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8067212Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8067467Z [2023-01-11 20:52:56,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90
2023-01-11T21:01:51.8067729Z [2023-01-11 20:52:56,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90
2023-01-11T21:01:51.8068131Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8068256Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8068498Z [2023-01-11 20:52:56,592] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91
2023-01-11T21:01:51.8068755Z [2023-01-11 20:52:56,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91
2023-01-11T21:01:51.8069150Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8069279Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8069532Z [2023-01-11 20:52:56,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92
2023-01-11T21:01:51.8069790Z [2023-01-11 20:52:56,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92
2023-01-11T21:01:51.8070186Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8070310Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8070561Z [2023-01-11 20:52:57,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93
2023-01-11T21:01:51.8070570Z 
2023-01-11T21:01:51.8070574Z 
2023-01-11T21:01:51.8070668Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8070737Z import torch
2023-01-11T21:01:51.8070794Z import random
2023-01-11T21:01:51.8070911Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8071032Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8071037Z 
2023-01-11T21:01:51.8071114Z aten = torch.ops.aten
2023-01-11T21:01:51.8071247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8071337Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8071342Z 
2023-01-11T21:01:51.8071346Z 
2023-01-11T21:01:51.8071432Z async_compile.wait(globals())
2023-01-11T21:01:51.8071489Z del async_compile
2023-01-11T21:01:51.8071508Z 
2023-01-11T21:01:51.8071564Z def call(args):
2023-01-11T21:01:51.8071680Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8071750Z     args.clear()
2023-01-11T21:01:51.8072047Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8072159Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8072252Z     del arg0_1
2023-01-11T21:01:51.8072319Z     del arg1_1
2023-01-11T21:01:51.8072371Z     del arg7_1
2023-01-11T21:01:51.8072440Z     return (buf0, )
2023-01-11T21:01:51.8072446Z 
2023-01-11T21:01:51.8072450Z 
2023-01-11T21:01:51.8072523Z if __name__ == "__main__":
2023-01-11T21:01:51.8072634Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8072758Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8073056Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8073256Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8073446Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8073623Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8073807Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8073993Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8074176Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8074395Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8074548Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8074554Z 
2023-01-11T21:01:51.8074558Z 
2023-01-11T21:01:51.8074655Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8074725Z import torch
2023-01-11T21:01:51.8074781Z import random
2023-01-11T21:01:51.8074896Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8075017Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8075024Z 
2023-01-11T21:01:51.8075102Z aten = torch.ops.aten
2023-01-11T21:01:51.8075235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8075324Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8075331Z 
2023-01-11T21:01:51.8075336Z 
2023-01-11T21:01:51.8075471Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8075674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8075781Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8075883Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8075943Z {
2023-01-11T21:01:51.8076020Z     #pragma GCC ivdep
2023-01-11T21:01:51.8076102Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8076186Z     {
2023-01-11T21:01:51.8076264Z         #pragma GCC ivdep
2023-01-11T21:01:51.8076333Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8076394Z         {
2023-01-11T21:01:51.8076463Z             {
2023-01-11T21:01:51.8076526Z                 {
2023-01-11T21:01:51.8076626Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8076720Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8076787Z                 }
2023-01-11T21:01:51.8076837Z             }
2023-01-11T21:01:51.8076900Z         }
2023-01-11T21:01:51.8076960Z     }
2023-01-11T21:01:51.8077018Z }
2023-01-11T21:01:51.8077096Z ''')
2023-01-11T21:01:51.8077101Z 
2023-01-11T21:01:51.8077105Z 
2023-01-11T21:01:51.8077236Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8077438Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8077543Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8077642Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8077702Z {
2023-01-11T21:01:51.8077775Z     #pragma GCC ivdep
2023-01-11T21:01:51.8077855Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8077957Z     {
2023-01-11T21:01:51.8078035Z         #pragma GCC ivdep
2023-01-11T21:01:51.8078104Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8078167Z         {
2023-01-11T21:01:51.8078229Z             {
2023-01-11T21:01:51.8078318Z                 {
2023-01-11T21:01:51.8078419Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8078515Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8078567Z                 }
2023-01-11T21:01:51.8078629Z             }
2023-01-11T21:01:51.8078691Z         }
2023-01-11T21:01:51.8078751Z     }
2023-01-11T21:01:51.8078809Z }
2023-01-11T21:01:51.8078888Z ''')
2023-01-11T21:01:51.8078893Z 
2023-01-11T21:01:51.8078897Z 
2023-01-11T21:01:51.8078987Z async_compile.wait(globals())
2023-01-11T21:01:51.8079045Z del async_compile
2023-01-11T21:01:51.8079063Z 
2023-01-11T21:01:51.8079120Z def call(args):
2023-01-11T21:01:51.8079237Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8079310Z     args.clear()
2023-01-11T21:01:51.8079535Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8079668Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8079735Z     del arg7_1
2023-01-11T21:01:51.8079990Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8080091Z     assert_size_stride(buf1, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8080158Z     del arg0_1
2023-01-11T21:01:51.8080225Z     del arg1_1
2023-01-11T21:01:51.8080290Z     del buf0
2023-01-11T21:01:51.8080521Z     buf2 = empty_strided((1, 128, 112, 112), (1605632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8080654Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8080726Z     return (buf2, )
2023-01-11T21:01:51.8080733Z 
2023-01-11T21:01:51.8080738Z 
2023-01-11T21:01:51.8080812Z if __name__ == "__main__":
2023-01-11T21:01:51.8080912Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8081038Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8081250Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8081445Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8081636Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8081825Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8082012Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8082199Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8082365Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8082594Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8082747Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8082755Z 
2023-01-11T21:01:51.8082759Z 
2023-01-11T21:01:51.8082852Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8082922Z import torch
2023-01-11T21:01:51.8082990Z import random
2023-01-11T21:01:51.8083105Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8083225Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8083230Z 
2023-01-11T21:01:51.8083295Z aten = torch.ops.aten
2023-01-11T21:01:51.8083597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8083701Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8083707Z 
2023-01-11T21:01:51.8083711Z 
2023-01-11T21:01:51.8083798Z async_compile.wait(globals())
2023-01-11T21:01:51.8083871Z del async_compile
2023-01-11T21:01:51.8083931Z 
2023-01-11T21:01:51.8084001Z def call(args):
2023-01-11T21:01:51.8084119Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8084191Z     args.clear()
2023-01-11T21:01:51.8084472Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8084588Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8084654Z     del arg0_1
2023-01-11T21:01:51.8084720Z     del arg1_1
2023-01-11T21:01:51.8084785Z     del arg7_1
2023-01-11T21:01:51.8084856Z     return (buf0, )
2023-01-11T21:01:51.8084862Z 
2023-01-11T21:01:51.8084866Z 
2023-01-11T21:01:51.8084943Z if __name__ == "__main__":
2023-01-11T21:01:51.8085044Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8085168Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8085380Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8085576Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8085766Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8085957Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8086143Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8086332Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8086500Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8086727Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8086880Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8086885Z 
2023-01-11T21:01:51.8086889Z 
2023-01-11T21:01:51.8086982Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8087055Z import torch
2023-01-11T21:01:51.8087127Z import random
2023-01-11T21:01:51.8087243Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8087364Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8087369Z 
2023-01-11T21:01:51.8087433Z aten = torch.ops.aten
2023-01-11T21:01:51.8087568Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8087657Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8087662Z 
2023-01-11T21:01:51.8087666Z 
2023-01-11T21:01:51.8087798Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8088002Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8088121Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8088220Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8088280Z {
2023-01-11T21:01:51.8088342Z     #pragma GCC ivdep
2023-01-11T21:01:51.8088423Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8088483Z     {
2023-01-11T21:01:51.8088559Z         #pragma GCC ivdep
2023-01-11T21:01:51.8088645Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8088708Z         {
2023-01-11T21:01:51.8088773Z             {
2023-01-11T21:01:51.8088824Z                 {
2023-01-11T21:01:51.8088925Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8089016Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8089079Z                 }
2023-01-11T21:01:51.8089140Z             }
2023-01-11T21:01:51.8089202Z         }
2023-01-11T21:01:51.8089262Z     }
2023-01-11T21:01:51.8089309Z }
2023-01-11T21:01:51.8089386Z ''')
2023-01-11T21:01:51.8089391Z 
2023-01-11T21:01:51.8089395Z 
2023-01-11T21:01:51.8089528Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8089733Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8089850Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8089980Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8090040Z {
2023-01-11T21:01:51.8090102Z     #pragma GCC ivdep
2023-01-11T21:01:51.8090208Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8090270Z     {
2023-01-11T21:01:51.8090347Z         #pragma GCC ivdep
2023-01-11T21:01:51.8090429Z         for(long i1=0; i1<12100; i1+=1)
2023-01-11T21:01:51.8090492Z         {
2023-01-11T21:01:51.8090557Z             {
2023-01-11T21:01:51.8090608Z                 {
2023-01-11T21:01:51.8090708Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8090801Z                     out_ptr0[i1 + (12100*i0)] = tmp0;
2023-01-11T21:01:51.8090868Z                 }
2023-01-11T21:01:51.8090930Z             }
2023-01-11T21:01:51.8090991Z         }
2023-01-11T21:01:51.8091039Z     }
2023-01-11T21:01:51.8091097Z }
2023-01-11T21:01:51.8091211Z ''')
2023-01-11T21:01:51.8091216Z 
2023-01-11T21:01:51.8091220Z 
2023-01-11T21:01:51.8091310Z async_compile.wait(globals())
2023-01-11T21:01:51.8091381Z del async_compile
2023-01-11T21:01:51.8091385Z 
2023-01-11T21:01:51.8091455Z def call(args):
2023-01-11T21:01:51.8091575Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8091646Z     args.clear()
2023-01-11T21:01:51.8091855Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8091986Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8092053Z     del arg7_1
2023-01-11T21:01:51.8092302Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8092413Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2023-01-11T21:01:51.8092480Z     del arg0_1
2023-01-11T21:01:51.8092544Z     del arg1_1
2023-01-11T21:01:51.8092595Z     del buf0
2023-01-11T21:01:51.8092825Z     buf2 = empty_strided((1, 32, 110, 110), (387200, 12100, 110, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8092961Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8093031Z     return (buf2, )
2023-01-11T21:01:51.8093036Z 
2023-01-11T21:01:51.8093042Z 
2023-01-11T21:01:51.8093117Z if __name__ == "__main__":
2023-01-11T21:01:51.8093230Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8093351Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8093561Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8093743Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8093932Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8094116Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8094302Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8094487Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8094665Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8094895Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8095048Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8095301Z [2023-01-11 20:52:58,538] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93
2023-01-11T21:01:51.8095700Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8095828Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8096128Z [2023-01-11 20:52:58,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94
2023-01-11T21:01:51.8096416Z [2023-01-11 20:52:58,686] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94
2023-01-11T21:01:51.8096818Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8096941Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8097194Z [2023-01-11 20:52:58,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95
2023-01-11T21:01:51.8097450Z [2023-01-11 20:53:00,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95
2023-01-11T21:01:51.8097848Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8097973Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8098226Z [2023-01-11 20:53:00,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96
2023-01-11T21:01:51.8098474Z [2023-01-11 20:53:00,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96
2023-01-11T21:01:51.8098868Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8098995Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8099247Z [2023-01-11 20:53:00,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97
2023-01-11T21:01:51.8099253Z 
2023-01-11T21:01:51.8099258Z 
2023-01-11T21:01:51.8099351Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8099423Z import torch
2023-01-11T21:01:51.8099493Z import random
2023-01-11T21:01:51.8099607Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8099729Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8099734Z 
2023-01-11T21:01:51.8099798Z aten = torch.ops.aten
2023-01-11T21:01:51.8099930Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8100021Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8100026Z 
2023-01-11T21:01:51.8100032Z 
2023-01-11T21:01:51.8100120Z async_compile.wait(globals())
2023-01-11T21:01:51.8100191Z del async_compile
2023-01-11T21:01:51.8100196Z 
2023-01-11T21:01:51.8100268Z def call(args):
2023-01-11T21:01:51.8100389Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8100459Z     args.clear()
2023-01-11T21:01:51.8100698Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8100809Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 1, 3520, 32))
2023-01-11T21:01:51.8100875Z     del arg0_1
2023-01-11T21:01:51.8100940Z     del arg1_1
2023-01-11T21:01:51.8101004Z     del arg7_1
2023-01-11T21:01:51.8101075Z     return (buf0, )
2023-01-11T21:01:51.8101080Z 
2023-01-11T21:01:51.8101084Z 
2023-01-11T21:01:51.8101158Z if __name__ == "__main__":
2023-01-11T21:01:51.8101269Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8101378Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8101658Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8101852Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8102082Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8102272Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8102457Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8102641Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8102821Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8103027Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8103183Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8103191Z 
2023-01-11T21:01:51.8103195Z 
2023-01-11T21:01:51.8103289Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8103358Z import torch
2023-01-11T21:01:51.8103428Z import random
2023-01-11T21:01:51.8103543Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8103662Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8103667Z 
2023-01-11T21:01:51.8103743Z aten = torch.ops.aten
2023-01-11T21:01:51.8103864Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8103955Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8103960Z 
2023-01-11T21:01:51.8103964Z 
2023-01-11T21:01:51.8104095Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8104300Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8104418Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8104518Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8104581Z {
2023-01-11T21:01:51.8104657Z     #pragma GCC ivdep
2023-01-11T21:01:51.8104726Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8104788Z     {
2023-01-11T21:01:51.8104865Z         #pragma GCC ivdep
2023-01-11T21:01:51.8104953Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8105015Z         {
2023-01-11T21:01:51.8105076Z             {
2023-01-11T21:01:51.8105127Z                 {
2023-01-11T21:01:51.8105228Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8105320Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8105386Z                 }
2023-01-11T21:01:51.8105450Z             }
2023-01-11T21:01:51.8105511Z         }
2023-01-11T21:01:51.8105572Z     }
2023-01-11T21:01:51.8105619Z }
2023-01-11T21:01:51.8105696Z ''')
2023-01-11T21:01:51.8105702Z 
2023-01-11T21:01:51.8105706Z 
2023-01-11T21:01:51.8105837Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8106037Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8106156Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8106257Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8106317Z {
2023-01-11T21:01:51.8106380Z     #pragma GCC ivdep
2023-01-11T21:01:51.8106470Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8106530Z     {
2023-01-11T21:01:51.8106604Z         #pragma GCC ivdep
2023-01-11T21:01:51.8106684Z         for(long i1=0; i1<12100; i1+=1)
2023-01-11T21:01:51.8106734Z         {
2023-01-11T21:01:51.8106795Z             {
2023-01-11T21:01:51.8106856Z                 {
2023-01-11T21:01:51.8106954Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8107047Z                     out_ptr0[i1 + (12100*i0)] = tmp0;
2023-01-11T21:01:51.8107109Z                 }
2023-01-11T21:01:51.8107171Z             }
2023-01-11T21:01:51.8107219Z         }
2023-01-11T21:01:51.8107278Z     }
2023-01-11T21:01:51.8107336Z }
2023-01-11T21:01:51.8107446Z ''')
2023-01-11T21:01:51.8107452Z 
2023-01-11T21:01:51.8107456Z 
2023-01-11T21:01:51.8107542Z async_compile.wait(globals())
2023-01-11T21:01:51.8107615Z del async_compile
2023-01-11T21:01:51.8107619Z 
2023-01-11T21:01:51.8107686Z def call(args):
2023-01-11T21:01:51.8107820Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8107892Z     args.clear()
2023-01-11T21:01:51.8108117Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8108248Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8108315Z     del arg7_1
2023-01-11T21:01:51.8108566Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8108680Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2023-01-11T21:01:51.8108745Z     del arg0_1
2023-01-11T21:01:51.8108797Z     del arg1_1
2023-01-11T21:01:51.8108863Z     del buf0
2023-01-11T21:01:51.8109093Z     buf2 = empty_strided((1, 128, 110, 110), (1548800, 12100, 110, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8109225Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8109295Z     return (buf2, )
2023-01-11T21:01:51.8109301Z 
2023-01-11T21:01:51.8109306Z 
2023-01-11T21:01:51.8109381Z if __name__ == "__main__":
2023-01-11T21:01:51.8109492Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8109600Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8109811Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8110004Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8110194Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8110383Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8110571Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8110756Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8110935Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8111146Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8111299Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8111305Z 
2023-01-11T21:01:51.8111310Z 
2023-01-11T21:01:51.8111402Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8111469Z import torch
2023-01-11T21:01:51.8111537Z import random
2023-01-11T21:01:51.8111651Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8111770Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8111775Z 
2023-01-11T21:01:51.8111853Z aten = torch.ops.aten
2023-01-11T21:01:51.8111971Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8112062Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8112067Z 
2023-01-11T21:01:51.8112071Z 
2023-01-11T21:01:51.8112158Z async_compile.wait(globals())
2023-01-11T21:01:51.8112230Z del async_compile
2023-01-11T21:01:51.8112235Z 
2023-01-11T21:01:51.8112302Z def call(args):
2023-01-11T21:01:51.8112419Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8112487Z     args.clear()
2023-01-11T21:01:51.8112738Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8112838Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2023-01-11T21:01:51.8112971Z     del arg0_1
2023-01-11T21:01:51.8113037Z     del arg1_1
2023-01-11T21:01:51.8113101Z     del arg7_1
2023-01-11T21:01:51.8113170Z     return (buf0, )
2023-01-11T21:01:51.8113210Z 
2023-01-11T21:01:51.8113214Z 
2023-01-11T21:01:51.8113287Z if __name__ == "__main__":
2023-01-11T21:01:51.8113398Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8113519Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8113748Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8113945Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8114137Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8114324Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8114513Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8114699Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8114877Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8115102Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8115242Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8115247Z 
2023-01-11T21:01:51.8115266Z 
2023-01-11T21:01:51.8115346Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8115414Z import torch
2023-01-11T21:01:51.8115482Z import random
2023-01-11T21:01:51.8115594Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8115713Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8115718Z 
2023-01-11T21:01:51.8115792Z aten = torch.ops.aten
2023-01-11T21:01:51.8115922Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8116000Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8116005Z 
2023-01-11T21:01:51.8116008Z 
2023-01-11T21:01:51.8116140Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8116340Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8116459Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8116557Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8116616Z {
2023-01-11T21:01:51.8116694Z     #pragma GCC ivdep
2023-01-11T21:01:51.8116773Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8116821Z     {
2023-01-11T21:01:51.8116897Z         #pragma GCC ivdep
2023-01-11T21:01:51.8116978Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8117039Z         {
2023-01-11T21:01:51.8117100Z             {
2023-01-11T21:01:51.8117162Z                 {
2023-01-11T21:01:51.8117251Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8117343Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8117407Z                 }
2023-01-11T21:01:51.8117468Z             }
2023-01-11T21:01:51.8117528Z         }
2023-01-11T21:01:51.8117587Z     }
2023-01-11T21:01:51.8117647Z }
2023-01-11T21:01:51.8117711Z ''')
2023-01-11T21:01:51.8117716Z 
2023-01-11T21:01:51.8117720Z 
2023-01-11T21:01:51.8117850Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8118054Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8118172Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8118268Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8118327Z {
2023-01-11T21:01:51.8118401Z     #pragma GCC ivdep
2023-01-11T21:01:51.8118467Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8118527Z     {
2023-01-11T21:01:51.8118602Z         #pragma GCC ivdep
2023-01-11T21:01:51.8118683Z         for(long i1=0; i1<11664; i1+=1)
2023-01-11T21:01:51.8118743Z         {
2023-01-11T21:01:51.8118805Z             {
2023-01-11T21:01:51.8118868Z                 {
2023-01-11T21:01:51.8118956Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8119048Z                     out_ptr0[i1 + (11664*i0)] = tmp0;
2023-01-11T21:01:51.8119143Z                 }
2023-01-11T21:01:51.8119205Z             }
2023-01-11T21:01:51.8119266Z         }
2023-01-11T21:01:51.8119325Z     }
2023-01-11T21:01:51.8119383Z }
2023-01-11T21:01:51.8119448Z ''')
2023-01-11T21:01:51.8119481Z 
2023-01-11T21:01:51.8119486Z 
2023-01-11T21:01:51.8119578Z async_compile.wait(globals())
2023-01-11T21:01:51.8119649Z del async_compile
2023-01-11T21:01:51.8119653Z 
2023-01-11T21:01:51.8119722Z def call(args):
2023-01-11T21:01:51.8119840Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8119908Z     args.clear()
2023-01-11T21:01:51.8120128Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8120249Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8120316Z     del arg7_1
2023-01-11T21:01:51.8120568Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8120680Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2023-01-11T21:01:51.8120746Z     del arg0_1
2023-01-11T21:01:51.8120812Z     del arg1_1
2023-01-11T21:01:51.8120881Z     del buf0
2023-01-11T21:01:51.8121109Z     buf2 = empty_strided((1, 32, 108, 108), (373248, 11664, 108, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8121227Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8121299Z     return (buf2, )
2023-01-11T21:01:51.8121304Z 
2023-01-11T21:01:51.8121308Z 
2023-01-11T21:01:51.8121383Z if __name__ == "__main__":
2023-01-11T21:01:51.8121495Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8121617Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8121824Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8122015Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8122205Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8122379Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8122565Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8122747Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8122928Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8123150Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8123305Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8123780Z [2023-01-11 20:53:02,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97
2023-01-11T21:01:51.8124182Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8124311Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8124554Z [2023-01-11 20:53:02,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98
2023-01-11T21:01:51.8124816Z [2023-01-11 20:53:02,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98
2023-01-11T21:01:51.8125209Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8125388Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8125643Z [2023-01-11 20:53:02,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99
2023-01-11T21:01:51.8125937Z [2023-01-11 20:53:04,058] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99
2023-01-11T21:01:51.8126335Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8126459Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8126714Z [2023-01-11 20:53:04,261] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100
2023-01-11T21:01:51.8126976Z [2023-01-11 20:53:04,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100
2023-01-11T21:01:51.8127375Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8127498Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8127739Z [2023-01-11 20:53:04,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101
2023-01-11T21:01:51.8127744Z 
2023-01-11T21:01:51.8127762Z 
2023-01-11T21:01:51.8127843Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8127911Z import torch
2023-01-11T21:01:51.8127979Z import random
2023-01-11T21:01:51.8128093Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8128212Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8128220Z 
2023-01-11T21:01:51.8128297Z aten = torch.ops.aten
2023-01-11T21:01:51.8128430Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8128509Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8128514Z 
2023-01-11T21:01:51.8128518Z 
2023-01-11T21:01:51.8128604Z async_compile.wait(globals())
2023-01-11T21:01:51.8128676Z del async_compile
2023-01-11T21:01:51.8128680Z 
2023-01-11T21:01:51.8128749Z def call(args):
2023-01-11T21:01:51.8128865Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8128935Z     args.clear()
2023-01-11T21:01:51.8129186Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8129296Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 1, 3456, 32))
2023-01-11T21:01:51.8129350Z     del arg0_1
2023-01-11T21:01:51.8129415Z     del arg1_1
2023-01-11T21:01:51.8129481Z     del arg7_1
2023-01-11T21:01:51.8129551Z     return (buf0, )
2023-01-11T21:01:51.8129556Z 
2023-01-11T21:01:51.8129561Z 
2023-01-11T21:01:51.8129637Z if __name__ == "__main__":
2023-01-11T21:01:51.8129748Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8129871Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8130067Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8130260Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8130448Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8130633Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8130820Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8131003Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8131213Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8131430Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8131600Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8131619Z 
2023-01-11T21:01:51.8131624Z 
2023-01-11T21:01:51.8131706Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8131774Z import torch
2023-01-11T21:01:51.8131843Z import random
2023-01-11T21:01:51.8131955Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8132074Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8132079Z 
2023-01-11T21:01:51.8132156Z aten = torch.ops.aten
2023-01-11T21:01:51.8132285Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8132363Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8132380Z 
2023-01-11T21:01:51.8132384Z 
2023-01-11T21:01:51.8132502Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8132706Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8132824Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8132925Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8132985Z {
2023-01-11T21:01:51.8133059Z     #pragma GCC ivdep
2023-01-11T21:01:51.8133137Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8133185Z     {
2023-01-11T21:01:51.8133260Z         #pragma GCC ivdep
2023-01-11T21:01:51.8133340Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8133401Z         {
2023-01-11T21:01:51.8133462Z             {
2023-01-11T21:01:51.8133524Z                 {
2023-01-11T21:01:51.8133625Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8133704Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8133767Z                 }
2023-01-11T21:01:51.8133828Z             }
2023-01-11T21:01:51.8133890Z         }
2023-01-11T21:01:51.8133949Z     }
2023-01-11T21:01:51.8134007Z }
2023-01-11T21:01:51.8134073Z ''')
2023-01-11T21:01:51.8134079Z 
2023-01-11T21:01:51.8134096Z 
2023-01-11T21:01:51.8134216Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8134417Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8134535Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8134635Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8134693Z {
2023-01-11T21:01:51.8134766Z     #pragma GCC ivdep
2023-01-11T21:01:51.8134845Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8134893Z     {
2023-01-11T21:01:51.8134967Z         #pragma GCC ivdep
2023-01-11T21:01:51.8135049Z         for(long i1=0; i1<11664; i1+=1)
2023-01-11T21:01:51.8135110Z         {
2023-01-11T21:01:51.8135171Z             {
2023-01-11T21:01:51.8135234Z                 {
2023-01-11T21:01:51.8135321Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8135417Z                     out_ptr0[i1 + (11664*i0)] = tmp0;
2023-01-11T21:01:51.8135480Z                 }
2023-01-11T21:01:51.8135541Z             }
2023-01-11T21:01:51.8135601Z         }
2023-01-11T21:01:51.8135662Z     }
2023-01-11T21:01:51.8135722Z }
2023-01-11T21:01:51.8135786Z ''')
2023-01-11T21:01:51.8135791Z 
2023-01-11T21:01:51.8135795Z 
2023-01-11T21:01:51.8135881Z async_compile.wait(globals())
2023-01-11T21:01:51.8135952Z del async_compile
2023-01-11T21:01:51.8135957Z 
2023-01-11T21:01:51.8136024Z def call(args):
2023-01-11T21:01:51.8136142Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8136211Z     args.clear()
2023-01-11T21:01:51.8136435Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8136566Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8136621Z     del arg7_1
2023-01-11T21:01:51.8136899Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8137009Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2023-01-11T21:01:51.8137104Z     del arg0_1
2023-01-11T21:01:51.8137172Z     del arg1_1
2023-01-11T21:01:51.8137237Z     del buf0
2023-01-11T21:01:51.8137467Z     buf2 = empty_strided((1, 128, 108, 108), (1492992, 11664, 108, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8137587Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8137657Z     return (buf2, )
2023-01-11T21:01:51.8137663Z 
2023-01-11T21:01:51.8137667Z 
2023-01-11T21:01:51.8137740Z if __name__ == "__main__":
2023-01-11T21:01:51.8137851Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8137975Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8138186Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8138383Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8138575Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8138753Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8138943Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8139130Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8139308Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8139538Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8139692Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8139698Z 
2023-01-11T21:01:51.8139702Z 
2023-01-11T21:01:51.8139794Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8139865Z import torch
2023-01-11T21:01:51.8139933Z import random
2023-01-11T21:01:51.8140033Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8140155Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8140160Z 
2023-01-11T21:01:51.8140237Z aten = torch.ops.aten
2023-01-11T21:01:51.8140368Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8140458Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8140463Z 
2023-01-11T21:01:51.8140467Z 
2023-01-11T21:01:51.8140553Z async_compile.wait(globals())
2023-01-11T21:01:51.8140623Z del async_compile
2023-01-11T21:01:51.8140628Z 
2023-01-11T21:01:51.8140696Z def call(args):
2023-01-11T21:01:51.8140800Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8140868Z     args.clear()
2023-01-11T21:01:51.8141119Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8141233Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2023-01-11T21:01:51.8141298Z     del arg0_1
2023-01-11T21:01:51.8141362Z     del arg1_1
2023-01-11T21:01:51.8141427Z     del arg7_1
2023-01-11T21:01:51.8141486Z     return (buf0, )
2023-01-11T21:01:51.8141492Z 
2023-01-11T21:01:51.8141496Z 
2023-01-11T21:01:51.8141569Z if __name__ == "__main__":
2023-01-11T21:01:51.8141680Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8141799Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8142009Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8142199Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8142388Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8142575Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8142783Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8142971Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8143185Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8143411Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8143564Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8143569Z 
2023-01-11T21:01:51.8143574Z 
2023-01-11T21:01:51.8143665Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8143733Z import torch
2023-01-11T21:01:51.8143800Z import random
2023-01-11T21:01:51.8143901Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8144019Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8144024Z 
2023-01-11T21:01:51.8144099Z aten = torch.ops.aten
2023-01-11T21:01:51.8144230Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8144319Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8144324Z 
2023-01-11T21:01:51.8144328Z 
2023-01-11T21:01:51.8144461Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8144663Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8144781Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8144866Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8144926Z {
2023-01-11T21:01:51.8145001Z     #pragma GCC ivdep
2023-01-11T21:01:51.8145079Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8145140Z     {
2023-01-11T21:01:51.8145217Z         #pragma GCC ivdep
2023-01-11T21:01:51.8145299Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8145349Z         {
2023-01-11T21:01:51.8145411Z             {
2023-01-11T21:01:51.8145474Z                 {
2023-01-11T21:01:51.8145578Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8145670Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8145733Z                 }
2023-01-11T21:01:51.8145795Z             }
2023-01-11T21:01:51.8145845Z         }
2023-01-11T21:01:51.8145906Z     }
2023-01-11T21:01:51.8145964Z }
2023-01-11T21:01:51.8146041Z ''')
2023-01-11T21:01:51.8146046Z 
2023-01-11T21:01:51.8146050Z 
2023-01-11T21:01:51.8146182Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8146385Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8146503Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8146589Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8146648Z {
2023-01-11T21:01:51.8146721Z     #pragma GCC ivdep
2023-01-11T21:01:51.8146800Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8146860Z     {
2023-01-11T21:01:51.8146934Z         #pragma GCC ivdep
2023-01-11T21:01:51.8147017Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8147066Z         {
2023-01-11T21:01:51.8147126Z             {
2023-01-11T21:01:51.8147187Z                 {
2023-01-11T21:01:51.8147290Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8147383Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8147446Z                 }
2023-01-11T21:01:51.8147495Z             }
2023-01-11T21:01:51.8147555Z         }
2023-01-11T21:01:51.8147614Z     }
2023-01-11T21:01:51.8147672Z }
2023-01-11T21:01:51.8147748Z ''')
2023-01-11T21:01:51.8147753Z 
2023-01-11T21:01:51.8147757Z 
2023-01-11T21:01:51.8147842Z async_compile.wait(globals())
2023-01-11T21:01:51.8147912Z del async_compile
2023-01-11T21:01:51.8147917Z 
2023-01-11T21:01:51.8147985Z def call(args):
2023-01-11T21:01:51.8148091Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8148159Z     args.clear()
2023-01-11T21:01:51.8148378Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8148545Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8148612Z     del arg7_1
2023-01-11T21:01:51.8148888Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8148998Z     assert_size_stride(buf1, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8149052Z     del arg0_1
2023-01-11T21:01:51.8149120Z     del arg1_1
2023-01-11T21:01:51.8149183Z     del buf0
2023-01-11T21:01:51.8149414Z     buf2 = empty_strided((1, 32, 112, 112), (401408, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8149546Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8149616Z     return (buf2, )
2023-01-11T21:01:51.8149622Z 
2023-01-11T21:01:51.8149626Z 
2023-01-11T21:01:51.8149699Z if __name__ == "__main__":
2023-01-11T21:01:51.8149813Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8149922Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8150135Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8150329Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8150517Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8150702Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8150886Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8151066Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8151243Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8151455Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8151613Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8151881Z [2023-01-11 20:53:04,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101
2023-01-11T21:01:51.8152283Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8152408Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8152663Z [2023-01-11 20:53:04,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102
2023-01-11T21:01:51.8153015Z [2023-01-11 20:53:04,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102
2023-01-11T21:01:51.8153421Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8153545Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8153802Z [2023-01-11 20:53:04,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103
2023-01-11T21:01:51.8154067Z [2023-01-11 20:53:04,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103
2023-01-11T21:01:51.8154447Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8154609Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8154894Z [2023-01-11 20:53:04,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104
2023-01-11T21:01:51.8155157Z [2023-01-11 20:53:04,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104
2023-01-11T21:01:51.8155551Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8155674Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8155926Z [2023-01-11 20:53:05,159] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105
2023-01-11T21:01:51.8155934Z 
2023-01-11T21:01:51.8155938Z 
2023-01-11T21:01:51.8156031Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8156101Z import torch
2023-01-11T21:01:51.8156169Z import random
2023-01-11T21:01:51.8156273Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8156392Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8156398Z 
2023-01-11T21:01:51.8156474Z aten = torch.ops.aten
2023-01-11T21:01:51.8156606Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8156696Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8156702Z 
2023-01-11T21:01:51.8156706Z 
2023-01-11T21:01:51.8156791Z async_compile.wait(globals())
2023-01-11T21:01:51.8156862Z del async_compile
2023-01-11T21:01:51.8156867Z 
2023-01-11T21:01:51.8156936Z def call(args):
2023-01-11T21:01:51.8157041Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8157112Z     args.clear()
2023-01-11T21:01:51.8157366Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8157476Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8157545Z     del arg0_1
2023-01-11T21:01:51.8157613Z     del arg1_1
2023-01-11T21:01:51.8157677Z     del arg7_1
2023-01-11T21:01:51.8157734Z     return (buf0, )
2023-01-11T21:01:51.8157739Z 
2023-01-11T21:01:51.8157757Z 
2023-01-11T21:01:51.8157818Z if __name__ == "__main__":
2023-01-11T21:01:51.8157929Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8158050Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8158260Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8158452Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8158642Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8158832Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8159006Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8159192Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8159369Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8159588Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8159741Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8159747Z 
2023-01-11T21:01:51.8159751Z 
2023-01-11T21:01:51.8159844Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8159912Z import torch
2023-01-11T21:01:51.8159981Z import random
2023-01-11T21:01:51.8160082Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8160202Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8160247Z 
2023-01-11T21:01:51.8160325Z aten = torch.ops.aten
2023-01-11T21:01:51.8160457Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8160546Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8160577Z 
2023-01-11T21:01:51.8160582Z 
2023-01-11T21:01:51.8160718Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8160920Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8161039Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8161138Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8161186Z {
2023-01-11T21:01:51.8161261Z     #pragma GCC ivdep
2023-01-11T21:01:51.8161340Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8161401Z     {
2023-01-11T21:01:51.8161477Z         #pragma GCC ivdep
2023-01-11T21:01:51.8161559Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8161609Z         {
2023-01-11T21:01:51.8161673Z             {
2023-01-11T21:01:51.8161736Z                 {
2023-01-11T21:01:51.8161837Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8161931Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8161997Z                 }
2023-01-11T21:01:51.8162058Z             }
2023-01-11T21:01:51.8162106Z         }
2023-01-11T21:01:51.8162169Z     }
2023-01-11T21:01:51.8162227Z }
2023-01-11T21:01:51.8162306Z ''')
2023-01-11T21:01:51.8162311Z 
2023-01-11T21:01:51.8162315Z 
2023-01-11T21:01:51.8162446Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8162649Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8162765Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8162850Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8162909Z {
2023-01-11T21:01:51.8162983Z     #pragma GCC ivdep
2023-01-11T21:01:51.8163062Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8163124Z     {
2023-01-11T21:01:51.8163199Z         #pragma GCC ivdep
2023-01-11T21:01:51.8163279Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8163328Z         {
2023-01-11T21:01:51.8163533Z             {
2023-01-11T21:01:51.8163632Z                 {
2023-01-11T21:01:51.8163733Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8163828Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8163892Z                 }
2023-01-11T21:01:51.8163954Z             }
2023-01-11T21:01:51.8164002Z         }
2023-01-11T21:01:51.8164061Z     }
2023-01-11T21:01:51.8164120Z }
2023-01-11T21:01:51.8164199Z ''')
2023-01-11T21:01:51.8164204Z 
2023-01-11T21:01:51.8164209Z 
2023-01-11T21:01:51.8164295Z async_compile.wait(globals())
2023-01-11T21:01:51.8164366Z del async_compile
2023-01-11T21:01:51.8164371Z 
2023-01-11T21:01:51.8164439Z def call(args):
2023-01-11T21:01:51.8164545Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8164618Z     args.clear()
2023-01-11T21:01:51.8164844Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8164978Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8165047Z     del arg7_1
2023-01-11T21:01:51.8165298Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8165410Z     assert_size_stride(buf1, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8165478Z     del arg0_1
2023-01-11T21:01:51.8165531Z     del arg1_1
2023-01-11T21:01:51.8165594Z     del buf0
2023-01-11T21:01:51.8165823Z     buf2 = empty_strided((1, 128, 112, 112), (1605632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8165958Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8166028Z     return (buf2, )
2023-01-11T21:01:51.8166088Z 
2023-01-11T21:01:51.8166092Z 
2023-01-11T21:01:51.8166167Z if __name__ == "__main__":
2023-01-11T21:01:51.8166281Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8166390Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8166645Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8166845Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8167036Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8167225Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8167413Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8167598Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8167774Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8167989Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8168145Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8168152Z 
2023-01-11T21:01:51.8168157Z 
2023-01-11T21:01:51.8168251Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8168318Z import torch
2023-01-11T21:01:51.8168387Z import random
2023-01-11T21:01:51.8168500Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8168621Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8168626Z 
2023-01-11T21:01:51.8168702Z aten = torch.ops.aten
2023-01-11T21:01:51.8168821Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8168912Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8168917Z 
2023-01-11T21:01:51.8168921Z 
2023-01-11T21:01:51.8169008Z async_compile.wait(globals())
2023-01-11T21:01:51.8169080Z del async_compile
2023-01-11T21:01:51.8169086Z 
2023-01-11T21:01:51.8169154Z def call(args):
2023-01-11T21:01:51.8169269Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8169340Z     args.clear()
2023-01-11T21:01:51.8169592Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8169703Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8169756Z     del arg0_1
2023-01-11T21:01:51.8169820Z     del arg1_1
2023-01-11T21:01:51.8169883Z     del arg7_1
2023-01-11T21:01:51.8169954Z     return (buf0, )
2023-01-11T21:01:51.8169959Z 
2023-01-11T21:01:51.8169963Z 
2023-01-11T21:01:51.8170036Z if __name__ == "__main__":
2023-01-11T21:01:51.8170148Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8170270Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8170468Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8170662Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8170853Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8171041Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8171229Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8171414Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8171589Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8171814Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8171956Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8171973Z 
2023-01-11T21:01:51.8171978Z 
2023-01-11T21:01:51.8172057Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8172160Z import torch
2023-01-11T21:01:51.8172228Z import random
2023-01-11T21:01:51.8172341Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8172459Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8172492Z 
2023-01-11T21:01:51.8172570Z aten = torch.ops.aten
2023-01-11T21:01:51.8172703Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8172780Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8172785Z 
2023-01-11T21:01:51.8172802Z 
2023-01-11T21:01:51.8172922Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8173122Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8173240Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8173341Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8173401Z {
2023-01-11T21:01:51.8173476Z     #pragma GCC ivdep
2023-01-11T21:01:51.8173555Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8173603Z     {
2023-01-11T21:01:51.8173679Z         #pragma GCC ivdep
2023-01-11T21:01:51.8173760Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8173821Z         {
2023-01-11T21:01:51.8173884Z             {
2023-01-11T21:01:51.8173949Z                 {
2023-01-11T21:01:51.8174037Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8174130Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8174192Z                 }
2023-01-11T21:01:51.8174253Z             }
2023-01-11T21:01:51.8174313Z         }
2023-01-11T21:01:51.8174371Z     }
2023-01-11T21:01:51.8174428Z }
2023-01-11T21:01:51.8174493Z ''')
2023-01-11T21:01:51.8174498Z 
2023-01-11T21:01:51.8174502Z 
2023-01-11T21:01:51.8174632Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8174834Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8174952Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8175052Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8175110Z {
2023-01-11T21:01:51.8175184Z     #pragma GCC ivdep
2023-01-11T21:01:51.8175250Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8175311Z     {
2023-01-11T21:01:51.8175388Z         #pragma GCC ivdep
2023-01-11T21:01:51.8175471Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8175531Z         {
2023-01-11T21:01:51.8175591Z             {
2023-01-11T21:01:51.8175652Z                 {
2023-01-11T21:01:51.8175737Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8175831Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8175893Z                 }
2023-01-11T21:01:51.8175953Z             }
2023-01-11T21:01:51.8176014Z         }
2023-01-11T21:01:51.8176072Z     }
2023-01-11T21:01:51.8176130Z }
2023-01-11T21:01:51.8176193Z ''')
2023-01-11T21:01:51.8176198Z 
2023-01-11T21:01:51.8176202Z 
2023-01-11T21:01:51.8176291Z async_compile.wait(globals())
2023-01-11T21:01:51.8176360Z del async_compile
2023-01-11T21:01:51.8176365Z 
2023-01-11T21:01:51.8176435Z def call(args):
2023-01-11T21:01:51.8176551Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8176623Z     args.clear()
2023-01-11T21:01:51.8176842Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8176973Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8177028Z     del arg7_1
2023-01-11T21:01:51.8177275Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8177386Z     assert_size_stride(buf1, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8177452Z     del arg0_1
2023-01-11T21:01:51.8177515Z     del arg1_1
2023-01-11T21:01:51.8177578Z     del buf0
2023-01-11T21:01:51.8177808Z     buf2 = empty_strided((1, 32, 112, 112), (401408, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8177956Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8178027Z     return (buf2, )
2023-01-11T21:01:51.8178032Z 
2023-01-11T21:01:51.8178063Z 
2023-01-11T21:01:51.8178139Z if __name__ == "__main__":
2023-01-11T21:01:51.8178251Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8178372Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8178582Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8178776Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8178964Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8179137Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8179322Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8179508Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8179686Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8179910Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8180062Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8180329Z [2023-01-11 20:53:05,191] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105
2023-01-11T21:01:51.8180726Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8180851Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8181095Z [2023-01-11 20:53:05,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106
2023-01-11T21:01:51.8181360Z [2023-01-11 20:53:05,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106
2023-01-11T21:01:51.8181757Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8181880Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8182134Z [2023-01-11 20:53:05,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107
2023-01-11T21:01:51.8182394Z [2023-01-11 20:53:05,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107
2023-01-11T21:01:51.8182792Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8182915Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8183168Z [2023-01-11 20:53:05,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108
2023-01-11T21:01:51.8183428Z [2023-01-11 20:53:05,689] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108
2023-01-11T21:01:51.8183822Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8183978Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8184257Z [2023-01-11 20:53:05,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109
2023-01-11T21:01:51.8184263Z 
2023-01-11T21:01:51.8184282Z 
2023-01-11T21:01:51.8184366Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8184434Z import torch
2023-01-11T21:01:51.8184503Z import random
2023-01-11T21:01:51.8184622Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8184740Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8184746Z 
2023-01-11T21:01:51.8184824Z aten = torch.ops.aten
2023-01-11T21:01:51.8184957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8185035Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8185040Z 
2023-01-11T21:01:51.8185056Z 
2023-01-11T21:01:51.8185133Z async_compile.wait(globals())
2023-01-11T21:01:51.8185203Z del async_compile
2023-01-11T21:01:51.8185208Z 
2023-01-11T21:01:51.8185276Z def call(args):
2023-01-11T21:01:51.8185394Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8185465Z     args.clear()
2023-01-11T21:01:51.8185716Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8185826Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2023-01-11T21:01:51.8185880Z     del arg0_1
2023-01-11T21:01:51.8185947Z     del arg1_1
2023-01-11T21:01:51.8186010Z     del arg7_1
2023-01-11T21:01:51.8186080Z     return (buf0, )
2023-01-11T21:01:51.8186086Z 
2023-01-11T21:01:51.8186090Z 
2023-01-11T21:01:51.8186162Z if __name__ == "__main__":
2023-01-11T21:01:51.8186273Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8186395Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8186595Z     arg0_1 = rand_strided((32, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8186786Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8186977Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8187161Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8187344Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8187527Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8187704Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8187920Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8188072Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8188080Z 
2023-01-11T21:01:51.8188085Z 
2023-01-11T21:01:51.8188166Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8188234Z import torch
2023-01-11T21:01:51.8188303Z import random
2023-01-11T21:01:51.8188416Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8188536Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8188541Z 
2023-01-11T21:01:51.8188617Z aten = torch.ops.aten
2023-01-11T21:01:51.8188747Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8188824Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8188841Z 
2023-01-11T21:01:51.8188845Z 
2023-01-11T21:01:51.8188963Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8189164Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8189282Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8189380Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8189478Z {
2023-01-11T21:01:51.8189553Z     #pragma GCC ivdep
2023-01-11T21:01:51.8189633Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8189680Z     {
2023-01-11T21:01:51.8189755Z         #pragma GCC ivdep
2023-01-11T21:01:51.8189915Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8189979Z         {
2023-01-11T21:01:51.8190042Z             {
2023-01-11T21:01:51.8190106Z                 {
2023-01-11T21:01:51.8190206Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8190286Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8190351Z                 }
2023-01-11T21:01:51.8190412Z             }
2023-01-11T21:01:51.8190474Z         }
2023-01-11T21:01:51.8190534Z     }
2023-01-11T21:01:51.8190591Z }
2023-01-11T21:01:51.8190658Z ''')
2023-01-11T21:01:51.8190675Z 
2023-01-11T21:01:51.8190679Z 
2023-01-11T21:01:51.8190799Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8191000Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8191120Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8191218Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8191277Z {
2023-01-11T21:01:51.8191353Z     #pragma GCC ivdep
2023-01-11T21:01:51.8191431Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8191479Z     {
2023-01-11T21:01:51.8191554Z         #pragma GCC ivdep
2023-01-11T21:01:51.8191635Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8191697Z         {
2023-01-11T21:01:51.8191759Z             {
2023-01-11T21:01:51.8191822Z                 {
2023-01-11T21:01:51.8191909Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8192003Z                     out_ptr0[i1 + (12544*i0)] = tmp0;
2023-01-11T21:01:51.8192066Z                 }
2023-01-11T21:01:51.8192128Z             }
2023-01-11T21:01:51.8192188Z         }
2023-01-11T21:01:51.8192247Z     }
2023-01-11T21:01:51.8192306Z }
2023-01-11T21:01:51.8192370Z ''')
2023-01-11T21:01:51.8192375Z 
2023-01-11T21:01:51.8192392Z 
2023-01-11T21:01:51.8192466Z async_compile.wait(globals())
2023-01-11T21:01:51.8192538Z del async_compile
2023-01-11T21:01:51.8192542Z 
2023-01-11T21:01:51.8192612Z def call(args):
2023-01-11T21:01:51.8192735Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8192806Z     args.clear()
2023-01-11T21:01:51.8193116Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8193250Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8193306Z     del arg7_1
2023-01-11T21:01:51.8193560Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8193673Z     assert_size_stride(buf1, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8193740Z     del arg0_1
2023-01-11T21:01:51.8193805Z     del arg1_1
2023-01-11T21:01:51.8193869Z     del buf0
2023-01-11T21:01:51.8194097Z     buf2 = empty_strided((1, 128, 112, 112), (1605632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8194217Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8194291Z     return (buf2, )
2023-01-11T21:01:51.8194296Z 
2023-01-11T21:01:51.8194300Z 
2023-01-11T21:01:51.8194376Z if __name__ == "__main__":
2023-01-11T21:01:51.8194489Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8194611Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8194822Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8195018Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8195211Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8195387Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8195615Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8195802Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8196005Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8196232Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8196385Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8196390Z 
2023-01-11T21:01:51.8196394Z 
2023-01-11T21:01:51.8196487Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8196557Z import torch
2023-01-11T21:01:51.8196629Z import random
2023-01-11T21:01:51.8196729Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8196848Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8196853Z 
2023-01-11T21:01:51.8196929Z aten = torch.ops.aten
2023-01-11T21:01:51.8197063Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8197154Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8197159Z 
2023-01-11T21:01:51.8197163Z 
2023-01-11T21:01:51.8197251Z async_compile.wait(globals())
2023-01-11T21:01:51.8197323Z del async_compile
2023-01-11T21:01:51.8197328Z 
2023-01-11T21:01:51.8197397Z def call(args):
2023-01-11T21:01:51.8197501Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8197571Z     args.clear()
2023-01-11T21:01:51.8197823Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8197940Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2023-01-11T21:01:51.8198007Z     del arg0_1
2023-01-11T21:01:51.8198071Z     del arg1_1
2023-01-11T21:01:51.8198136Z     del arg7_1
2023-01-11T21:01:51.8198193Z     return (buf0, )
2023-01-11T21:01:51.8198198Z 
2023-01-11T21:01:51.8198217Z 
2023-01-11T21:01:51.8198278Z if __name__ == "__main__":
2023-01-11T21:01:51.8198389Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8198511Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8198723Z     arg0_1 = rand_strided((128, 3, 1, 1), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8198916Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8199110Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8199297Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8199471Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8199656Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8199834Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8200058Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8200215Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8200221Z 
2023-01-11T21:01:51.8200227Z 
2023-01-11T21:01:51.8200320Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8200389Z import torch
2023-01-11T21:01:51.8200458Z import random
2023-01-11T21:01:51.8200559Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8200678Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8200683Z 
2023-01-11T21:01:51.8200760Z aten = torch.ops.aten
2023-01-11T21:01:51.8200891Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8200981Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8200986Z 
2023-01-11T21:01:51.8200990Z 
2023-01-11T21:01:51.8201124Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8201326Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8201478Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8201564Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8201624Z {
2023-01-11T21:01:51.8201730Z     #pragma GCC ivdep
2023-01-11T21:01:51.8201810Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8201870Z     {
2023-01-11T21:01:51.8201948Z         #pragma GCC ivdep
2023-01-11T21:01:51.8202030Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8202080Z         {
2023-01-11T21:01:51.8202143Z             {
2023-01-11T21:01:51.8202206Z                 {
2023-01-11T21:01:51.8202305Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8202398Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8202461Z                 }
2023-01-11T21:01:51.8202524Z             }
2023-01-11T21:01:51.8202572Z         }
2023-01-11T21:01:51.8202632Z     }
2023-01-11T21:01:51.8202692Z }
2023-01-11T21:01:51.8202770Z ''')
2023-01-11T21:01:51.8202776Z 
2023-01-11T21:01:51.8202780Z 
2023-01-11T21:01:51.8202911Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8203115Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8203230Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8203317Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8203525Z {
2023-01-11T21:01:51.8203643Z     #pragma GCC ivdep
2023-01-11T21:01:51.8203746Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8203807Z     {
2023-01-11T21:01:51.8203882Z         #pragma GCC ivdep
2023-01-11T21:01:51.8203963Z         for(long i1=0; i1<12100; i1+=1)
2023-01-11T21:01:51.8204013Z         {
2023-01-11T21:01:51.8204075Z             {
2023-01-11T21:01:51.8204137Z                 {
2023-01-11T21:01:51.8204236Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8204329Z                     out_ptr0[i1 + (12100*i0)] = tmp0;
2023-01-11T21:01:51.8204395Z                 }
2023-01-11T21:01:51.8204458Z             }
2023-01-11T21:01:51.8204507Z         }
2023-01-11T21:01:51.8204566Z     }
2023-01-11T21:01:51.8204626Z }
2023-01-11T21:01:51.8204705Z ''')
2023-01-11T21:01:51.8204713Z 
2023-01-11T21:01:51.8204718Z 
2023-01-11T21:01:51.8204804Z async_compile.wait(globals())
2023-01-11T21:01:51.8204875Z del async_compile
2023-01-11T21:01:51.8204880Z 
2023-01-11T21:01:51.8204951Z def call(args):
2023-01-11T21:01:51.8205056Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8205127Z     args.clear()
2023-01-11T21:01:51.8205345Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8205479Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8205545Z     del arg7_1
2023-01-11T21:01:51.8205796Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8205908Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2023-01-11T21:01:51.8205962Z     del arg0_1
2023-01-11T21:01:51.8206028Z     del arg1_1
2023-01-11T21:01:51.8206091Z     del buf0
2023-01-11T21:01:51.8206318Z     buf2 = empty_strided((1, 32, 110, 110), (387200, 12100, 110, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8206452Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8206523Z     return (buf2, )
2023-01-11T21:01:51.8206528Z 
2023-01-11T21:01:51.8206532Z 
2023-01-11T21:01:51.8206606Z if __name__ == "__main__":
2023-01-11T21:01:51.8206717Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8206826Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8207038Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8207229Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8207471Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8207657Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8207877Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8208062Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8208240Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8208450Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8208603Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8208872Z [2023-01-11 20:53:05,902] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109
2023-01-11T21:01:51.8209272Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8209400Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8209657Z [2023-01-11 20:53:06,013] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110
2023-01-11T21:01:51.8209917Z [2023-01-11 20:53:06,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110
2023-01-11T21:01:51.8210311Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8210439Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8210692Z [2023-01-11 20:53:06,164] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111
2023-01-11T21:01:51.8210956Z [2023-01-11 20:53:06,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111
2023-01-11T21:01:51.8211341Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8211464Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8211718Z [2023-01-11 20:53:06,393] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112
2023-01-11T21:01:51.8211978Z [2023-01-11 20:53:06,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112
2023-01-11T21:01:51.8212379Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8212504Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8212756Z [2023-01-11 20:53:06,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113
2023-01-11T21:01:51.8212763Z 
2023-01-11T21:01:51.8212767Z 
2023-01-11T21:01:51.8212861Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8212930Z import torch
2023-01-11T21:01:51.8212998Z import random
2023-01-11T21:01:51.8213100Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8213220Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8213255Z 
2023-01-11T21:01:51.8213333Z aten = torch.ops.aten
2023-01-11T21:01:51.8213464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8213555Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8213588Z 
2023-01-11T21:01:51.8213593Z 
2023-01-11T21:01:51.8213680Z async_compile.wait(globals())
2023-01-11T21:01:51.8213751Z del async_compile
2023-01-11T21:01:51.8213756Z 
2023-01-11T21:01:51.8213824Z def call(args):
2023-01-11T21:01:51.8213929Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8213999Z     args.clear()
2023-01-11T21:01:51.8214251Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8214361Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 1, 3520, 32))
2023-01-11T21:01:51.8214428Z     del arg0_1
2023-01-11T21:01:51.8214494Z     del arg1_1
2023-01-11T21:01:51.8214561Z     del arg7_1
2023-01-11T21:01:51.8214618Z     return (buf0, )
2023-01-11T21:01:51.8214636Z 
2023-01-11T21:01:51.8214641Z 
2023-01-11T21:01:51.8214702Z if __name__ == "__main__":
2023-01-11T21:01:51.8214814Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8214937Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8215146Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8215338Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8215526Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8215709Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8215893Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8216063Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8216241Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8216459Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8216614Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8216620Z 
2023-01-11T21:01:51.8216624Z 
2023-01-11T21:01:51.8216717Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8216786Z import torch
2023-01-11T21:01:51.8216852Z import random
2023-01-11T21:01:51.8216969Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8217076Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8217081Z 
2023-01-11T21:01:51.8217159Z aten = torch.ops.aten
2023-01-11T21:01:51.8217290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8217379Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8217385Z 
2023-01-11T21:01:51.8217389Z 
2023-01-11T21:01:51.8217521Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8217725Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8217845Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8217945Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8217993Z {
2023-01-11T21:01:51.8218068Z     #pragma GCC ivdep
2023-01-11T21:01:51.8218147Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8218207Z     {
2023-01-11T21:01:51.8218284Z         #pragma GCC ivdep
2023-01-11T21:01:51.8218366Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8218415Z         {
2023-01-11T21:01:51.8218478Z             {
2023-01-11T21:01:51.8218542Z                 {
2023-01-11T21:01:51.8218643Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8218735Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8218799Z                 }
2023-01-11T21:01:51.8218860Z             }
2023-01-11T21:01:51.8218943Z         }
2023-01-11T21:01:51.8229708Z     }
2023-01-11T21:01:51.8229894Z }
2023-01-11T21:01:51.8230055Z ''')
2023-01-11T21:01:51.8230064Z 
2023-01-11T21:01:51.8230070Z 
2023-01-11T21:01:51.8230334Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8230841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8231019Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8231164Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8231257Z {
2023-01-11T21:01:51.8231380Z     #pragma GCC ivdep
2023-01-11T21:01:51.8231493Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8231592Z     {
2023-01-11T21:01:51.8231713Z         #pragma GCC ivdep
2023-01-11T21:01:51.8231843Z         for(long i1=0; i1<12100; i1+=1)
2023-01-11T21:01:51.8231945Z         {
2023-01-11T21:01:51.8232045Z             {
2023-01-11T21:01:51.8232131Z                 {
2023-01-11T21:01:51.8232297Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8232449Z                     out_ptr0[i1 + (12100*i0)] = tmp0;
2023-01-11T21:01:51.8232553Z                 }
2023-01-11T21:01:51.8232655Z             }
2023-01-11T21:01:51.8232757Z         }
2023-01-11T21:01:51.8232923Z     }
2023-01-11T21:01:51.8233004Z }
2023-01-11T21:01:51.8233153Z ''')
2023-01-11T21:01:51.8233162Z 
2023-01-11T21:01:51.8233168Z 
2023-01-11T21:01:51.8233316Z async_compile.wait(globals())
2023-01-11T21:01:51.8233436Z del async_compile
2023-01-11T21:01:51.8233443Z 
2023-01-11T21:01:51.8233559Z def call(args):
2023-01-11T21:01:51.8233747Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8233863Z     args.clear()
2023-01-11T21:01:51.8234240Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8234432Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8234539Z     del arg7_1
2023-01-11T21:01:51.8234946Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8235116Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2023-01-11T21:01:51.8235229Z     del arg0_1
2023-01-11T21:01:51.8235338Z     del arg1_1
2023-01-11T21:01:51.8235439Z     del buf0
2023-01-11T21:01:51.8235788Z     buf2 = empty_strided((1, 128, 110, 110), (1548800, 12100, 110, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8236010Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8236123Z     return (buf2, )
2023-01-11T21:01:51.8236134Z 
2023-01-11T21:01:51.8236142Z 
2023-01-11T21:01:51.8236267Z if __name__ == "__main__":
2023-01-11T21:01:51.8236450Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8236641Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8236957Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8237257Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8237549Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8237868Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8238177Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8238485Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8238766Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8239103Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8239336Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8239362Z 
2023-01-11T21:01:51.8239369Z 
2023-01-11T21:01:51.8239513Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8239717Z import torch
2023-01-11T21:01:51.8239813Z import random
2023-01-11T21:01:51.8239984Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8240213Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8240222Z 
2023-01-11T21:01:51.8240340Z aten = torch.ops.aten
2023-01-11T21:01:51.8240547Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8240687Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8240695Z 
2023-01-11T21:01:51.8240702Z 
2023-01-11T21:01:51.8240831Z async_compile.wait(globals())
2023-01-11T21:01:51.8240925Z del async_compile
2023-01-11T21:01:51.8240950Z 
2023-01-11T21:01:51.8241037Z def call(args):
2023-01-11T21:01:51.8241213Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8241325Z     args.clear()
2023-01-11T21:01:51.8241769Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (1, 1), 4, 'none', [], '')
2023-01-11T21:01:51.8241938Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2023-01-11T21:01:51.8242041Z     del arg0_1
2023-01-11T21:01:51.8242144Z     del arg1_1
2023-01-11T21:01:51.8242231Z     del arg7_1
2023-01-11T21:01:51.8242344Z     return (buf0, )
2023-01-11T21:01:51.8242352Z 
2023-01-11T21:01:51.8242359Z 
2023-01-11T21:01:51.8242472Z if __name__ == "__main__":
2023-01-11T21:01:51.8242646Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8242827Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8243170Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8243668Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8243959Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8244260Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8244562Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8244914Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8245255Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8245669Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8245932Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8245941Z 
2023-01-11T21:01:51.8245948Z 
2023-01-11T21:01:51.8246094Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8246202Z import torch
2023-01-11T21:01:51.8246295Z import random
2023-01-11T21:01:51.8246479Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8246671Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8246679Z 
2023-01-11T21:01:51.8246797Z aten = torch.ops.aten
2023-01-11T21:01:51.8247001Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8247132Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8247142Z 
2023-01-11T21:01:51.8247149Z 
2023-01-11T21:01:51.8247372Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8247691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8247866Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8248032Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8248118Z {
2023-01-11T21:01:51.8248222Z     #pragma GCC ivdep
2023-01-11T21:01:51.8248336Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8248427Z     {
2023-01-11T21:01:51.8248544Z         #pragma GCC ivdep
2023-01-11T21:01:51.8248642Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8248731Z         {
2023-01-11T21:01:51.8248838Z             {
2023-01-11T21:01:51.8248934Z                 {
2023-01-11T21:01:51.8249217Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8249358Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8249463Z                 }
2023-01-11T21:01:51.8249537Z             }
2023-01-11T21:01:51.8249682Z         }
2023-01-11T21:01:51.8249773Z     }
2023-01-11T21:01:51.8249862Z }
2023-01-11T21:01:51.8249993Z ''')
2023-01-11T21:01:51.8250000Z 
2023-01-11T21:01:51.8250005Z 
2023-01-11T21:01:51.8250202Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8250499Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8250660Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8250822Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8250918Z {
2023-01-11T21:01:51.8251035Z     #pragma GCC ivdep
2023-01-11T21:01:51.8251166Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8251265Z     {
2023-01-11T21:01:51.8251390Z         #pragma GCC ivdep
2023-01-11T21:01:51.8251511Z         for(long i1=0; i1<11664; i1+=1)
2023-01-11T21:01:51.8251612Z         {
2023-01-11T21:01:51.8251712Z             {
2023-01-11T21:01:51.8251807Z                 {
2023-01-11T21:01:51.8251961Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.8252109Z                     out_ptr0[i1 + (11664*i0)] = tmp0;
2023-01-11T21:01:51.8252205Z                 }
2023-01-11T21:01:51.8252284Z             }
2023-01-11T21:01:51.8252375Z         }
2023-01-11T21:01:51.8252468Z     }
2023-01-11T21:01:51.8252557Z }
2023-01-11T21:01:51.8252688Z ''')
2023-01-11T21:01:51.8252697Z 
2023-01-11T21:01:51.8252704Z 
2023-01-11T21:01:51.8252841Z async_compile.wait(globals())
2023-01-11T21:01:51.8252948Z del async_compile
2023-01-11T21:01:51.8252972Z 
2023-01-11T21:01:51.8253061Z def call(args):
2023-01-11T21:01:51.8253253Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8253365Z     args.clear()
2023-01-11T21:01:51.8253725Z     buf0 = empty_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8253946Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8254058Z     del arg7_1
2023-01-11T21:01:51.8254471Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8254632Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2023-01-11T21:01:51.8254738Z     del arg0_1
2023-01-11T21:01:51.8254843Z     del arg1_1
2023-01-11T21:01:51.8254950Z     del buf0
2023-01-11T21:01:51.8255327Z     buf2 = empty_strided((1, 32, 108, 108), (373248, 11664, 108, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8255538Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8255653Z     return (buf2, )
2023-01-11T21:01:51.8255662Z 
2023-01-11T21:01:51.8255669Z 
2023-01-11T21:01:51.8255795Z if __name__ == "__main__":
2023-01-11T21:01:51.8255967Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8256170Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8256521Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8256841Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8257150Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8257459Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8257759Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8258052Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8258335Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8258690Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8259030Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8280359Z [2023-01-11 20:53:06,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113
2023-01-11T21:01:51.8281194Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8281415Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8281927Z [2023-01-11 20:53:06,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114
2023-01-11T21:01:51.8282417Z [2023-01-11 20:53:06,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114
2023-01-11T21:01:51.8283182Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8283618Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8284093Z [2023-01-11 20:53:06,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115
2023-01-11T21:01:51.8284575Z [2023-01-11 20:53:06,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115
2023-01-11T21:01:51.8285332Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8285552Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8286024Z [2023-01-11 20:53:07,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116
2023-01-11T21:01:51.8286513Z [2023-01-11 20:53:07,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116
2023-01-11T21:01:51.8287296Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8287509Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8287978Z [2023-01-11 20:53:07,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117
2023-01-11T21:01:51.8288464Z [2023-01-11 20:53:07,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117
2023-01-11T21:01:51.8289263Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8289480Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8289946Z [2023-01-11 20:53:07,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118
2023-01-11T21:01:51.8289957Z 
2023-01-11T21:01:51.8289972Z 
2023-01-11T21:01:51.8290122Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8290232Z import torch
2023-01-11T21:01:51.8290347Z import random
2023-01-11T21:01:51.8290545Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8290902Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8290911Z 
2023-01-11T21:01:51.8291039Z aten = torch.ops.aten
2023-01-11T21:01:51.8291279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8291488Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8291498Z 
2023-01-11T21:01:51.8291514Z 
2023-01-11T21:01:51.8291659Z async_compile.wait(globals())
2023-01-11T21:01:51.8291777Z del async_compile
2023-01-11T21:01:51.8291785Z 
2023-01-11T21:01:51.8291896Z def call(args):
2023-01-11T21:01:51.8292098Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8292216Z     args.clear()
2023-01-11T21:01:51.8292687Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 1, 'none', [], '')
2023-01-11T21:01:51.8292872Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 1, 3456, 32))
2023-01-11T21:01:51.8292973Z     del arg0_1
2023-01-11T21:01:51.8293087Z     del arg1_1
2023-01-11T21:01:51.8293191Z     del arg7_1
2023-01-11T21:01:51.8293304Z     return (buf0, )
2023-01-11T21:01:51.8293313Z 
2023-01-11T21:01:51.8293320Z 
2023-01-11T21:01:51.8293436Z if __name__ == "__main__":
2023-01-11T21:01:51.8293635Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8293851Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8294220Z     arg0_1 = rand_strided((32, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8294558Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8294886Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8295158Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8295429Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8295725Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8295912Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8296124Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8296276Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8296282Z 
2023-01-11T21:01:51.8296287Z 
2023-01-11T21:01:51.8296368Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8296430Z import torch
2023-01-11T21:01:51.8296492Z import random
2023-01-11T21:01:51.8296598Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8296709Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8296715Z 
2023-01-11T21:01:51.8296783Z aten = torch.ops.aten
2023-01-11T21:01:51.8296907Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8296984Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8296995Z 
2023-01-11T21:01:51.8297001Z 
2023-01-11T21:01:51.8297119Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8297315Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8297427Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8297520Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8297572Z {
2023-01-11T21:01:51.8297639Z     #pragma GCC ivdep
2023-01-11T21:01:51.8297711Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8297758Z     {
2023-01-11T21:01:51.8297826Z         #pragma GCC ivdep
2023-01-11T21:01:51.8297902Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8297956Z         {
2023-01-11T21:01:51.8298010Z             {
2023-01-11T21:01:51.8298064Z                 {
2023-01-11T21:01:51.8298156Z                     auto tmp0 = in_ptr0[i1 + (12544*i0)];
2023-01-11T21:01:51.8298236Z                     out_ptr0[i0 + (12*i1)] = tmp0;
2023-01-11T21:01:51.8298291Z                 }
2023-01-11T21:01:51.8298412Z             }
2023-01-11T21:01:51.8298464Z         }
2023-01-11T21:01:51.8298516Z     }
2023-01-11T21:01:51.8298566Z }
2023-01-11T21:01:51.8298632Z ''')
2023-01-11T21:01:51.8298642Z 
2023-01-11T21:01:51.8298646Z 
2023-01-11T21:01:51.8298796Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8298992Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8299100Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8299190Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8299241Z {
2023-01-11T21:01:51.8299307Z     #pragma GCC ivdep
2023-01-11T21:01:51.8299379Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8299426Z     {
2023-01-11T21:01:51.8299495Z         #pragma GCC ivdep
2023-01-11T21:01:51.8299570Z         for(long i1=0; i1<11664; i1+=1)
2023-01-11T21:01:51.8299622Z         {
2023-01-11T21:01:51.8299676Z             {
2023-01-11T21:01:51.8299730Z                 {
2023-01-11T21:01:51.8299819Z                     auto tmp0 = in_ptr0[i0 + (128*i1)];
2023-01-11T21:01:51.8299906Z                     out_ptr0[i1 + (11664*i0)] = tmp0;
2023-01-11T21:01:51.8299960Z                 }
2023-01-11T21:01:51.8300015Z             }
2023-01-11T21:01:51.8300070Z         }
2023-01-11T21:01:51.8300121Z     }
2023-01-11T21:01:51.8300171Z }
2023-01-11T21:01:51.8300236Z ''')
2023-01-11T21:01:51.8300242Z 
2023-01-11T21:01:51.8300250Z 
2023-01-11T21:01:51.8300324Z async_compile.wait(globals())
2023-01-11T21:01:51.8300386Z del async_compile
2023-01-11T21:01:51.8300391Z 
2023-01-11T21:01:51.8300452Z def call(args):
2023-01-11T21:01:51.8300562Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8300624Z     args.clear()
2023-01-11T21:01:51.8300841Z     buf0 = empty_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8300965Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8301021Z     del arg7_1
2023-01-11T21:01:51.8301265Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8301371Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2023-01-11T21:01:51.8301429Z     del arg0_1
2023-01-11T21:01:51.8301486Z     del arg1_1
2023-01-11T21:01:51.8301540Z     del buf0
2023-01-11T21:01:51.8301760Z     buf2 = empty_strided((1, 128, 108, 108), (1492992, 11664, 108, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8301878Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8301941Z     return (buf2, )
2023-01-11T21:01:51.8301946Z 
2023-01-11T21:01:51.8301950Z 
2023-01-11T21:01:51.8302016Z if __name__ == "__main__":
2023-01-11T21:01:51.8302121Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8302234Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8302434Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8302620Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8302804Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8302980Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8303158Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8303335Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8303504Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8303720Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8303864Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8303870Z 
2023-01-11T21:01:51.8303905Z 
2023-01-11T21:01:51.8303990Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8304050Z import torch
2023-01-11T21:01:51.8304110Z import random
2023-01-11T21:01:51.8304211Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8304368Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8304374Z 
2023-01-11T21:01:51.8304444Z aten = torch.ops.aten
2023-01-11T21:01:51.8304568Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8304649Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8304654Z 
2023-01-11T21:01:51.8304658Z 
2023-01-11T21:01:51.8304736Z async_compile.wait(globals())
2023-01-11T21:01:51.8304798Z del async_compile
2023-01-11T21:01:51.8304803Z 
2023-01-11T21:01:51.8304863Z def call(args):
2023-01-11T21:01:51.8304968Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8305029Z     args.clear()
2023-01-11T21:01:51.8305271Z     buf0 = torch.ops.mkldnn._convolution_pointwise(arg7_1, arg0_1, arg1_1, (0, 0), (1, 1), (2, 2), 4, 'none', [], '')
2023-01-11T21:01:51.8305376Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2023-01-11T21:01:51.8305433Z     del arg0_1
2023-01-11T21:01:51.8305490Z     del arg1_1
2023-01-11T21:01:51.8305548Z     del arg7_1
2023-01-11T21:01:51.8305609Z     return (buf0, )
2023-01-11T21:01:51.8305614Z 
2023-01-11T21:01:51.8305623Z 
2023-01-11T21:01:51.8305683Z if __name__ == "__main__":
2023-01-11T21:01:51.8305787Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8305898Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8306098Z     arg0_1 = rand_strided((128, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8306284Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8306465Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8306645Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8306822Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8307000Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8307169Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8307385Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8307536Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8307541Z 
2023-01-11T21:01:51.8307545Z 
2023-01-11T21:01:51.8307637Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8307704Z import torch
2023-01-11T21:01:51.8307771Z import random
2023-01-11T21:01:51.8307884Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8308003Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8308010Z 
2023-01-11T21:01:51.8308085Z aten = torch.ops.aten
2023-01-11T21:01:51.8308204Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8308292Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8308298Z 
2023-01-11T21:01:51.8308302Z 
2023-01-11T21:01:51.8308389Z async_compile.wait(globals())
2023-01-11T21:01:51.8308458Z del async_compile
2023-01-11T21:01:51.8308464Z 
2023-01-11T21:01:51.8308531Z def call(args):
2023-01-11T21:01:51.8308647Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8308714Z     args.clear()
2023-01-11T21:01:51.8308853Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8308956Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8309022Z     del arg0_1
2023-01-11T21:01:51.8309086Z     del arg1_1
2023-01-11T21:01:51.8309149Z     del arg7_1
2023-01-11T21:01:51.8309217Z     return (buf0, )
2023-01-11T21:01:51.8309251Z 
2023-01-11T21:01:51.8309255Z 
2023-01-11T21:01:51.8309328Z if __name__ == "__main__":
2023-01-11T21:01:51.8309438Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8309575Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8309793Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8309983Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8310173Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8310358Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8310541Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8310723Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8310898Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8311119Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8311274Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8311279Z 
2023-01-11T21:01:51.8311283Z 
2023-01-11T21:01:51.8311375Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8311443Z import torch
2023-01-11T21:01:51.8311511Z import random
2023-01-11T21:01:51.8311623Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8311742Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8311747Z 
2023-01-11T21:01:51.8311822Z aten = torch.ops.aten
2023-01-11T21:01:51.8311940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8312030Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8312035Z 
2023-01-11T21:01:51.8312039Z 
2023-01-11T21:01:51.8312170Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8312374Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8312494Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8312593Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8312653Z {
2023-01-11T21:01:51.8312726Z     #pragma GCC ivdep
2023-01-11T21:01:51.8312792Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8312851Z     {
2023-01-11T21:01:51.8313010Z         #pragma GCC ivdep
2023-01-11T21:01:51.8313097Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8313159Z         {
2023-01-11T21:01:51.8313221Z             {
2023-01-11T21:01:51.8313283Z                 {
2023-01-11T21:01:51.8313369Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8313464Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8313527Z                 }
2023-01-11T21:01:51.8313588Z             }
2023-01-11T21:01:51.8313649Z         }
2023-01-11T21:01:51.8313711Z     }
2023-01-11T21:01:51.8313757Z }
2023-01-11T21:01:51.8313836Z ''')
2023-01-11T21:01:51.8313841Z 
2023-01-11T21:01:51.8313846Z 
2023-01-11T21:01:51.8313933Z async_compile.wait(globals())
2023-01-11T21:01:51.8314003Z del async_compile
2023-01-11T21:01:51.8314010Z 
2023-01-11T21:01:51.8314080Z def call(args):
2023-01-11T21:01:51.8314197Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8314266Z     args.clear()
2023-01-11T21:01:51.8314501Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8314623Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8314688Z     del arg7_1
2023-01-11T21:01:51.8314826Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8314938Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8315037Z     del arg0_1
2023-01-11T21:01:51.8315100Z     del arg1_1
2023-01-11T21:01:51.8315169Z     return (buf1, )
2023-01-11T21:01:51.8315175Z 
2023-01-11T21:01:51.8315179Z 
2023-01-11T21:01:51.8315251Z if __name__ == "__main__":
2023-01-11T21:01:51.8315377Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8315500Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8315714Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8315905Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8316091Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8316273Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8316455Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8316634Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8316802Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8317028Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8317183Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8317454Z [2023-01-11 20:53:09,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118
2023-01-11T21:01:51.8317853Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8317979Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8318234Z [2023-01-11 20:53:09,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119
2023-01-11T21:01:51.8318498Z [2023-01-11 20:53:09,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119
2023-01-11T21:01:51.8318895Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8319020Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8319259Z [2023-01-11 20:53:11,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120
2023-01-11T21:01:51.8319521Z [2023-01-11 20:53:12,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120
2023-01-11T21:01:51.8319919Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8320046Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8320298Z [2023-01-11 20:53:14,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121
2023-01-11T21:01:51.8320557Z [2023-01-11 20:53:14,075] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121
2023-01-11T21:01:51.8320951Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8321143Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8321395Z [2023-01-11 20:53:14,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122
2023-01-11T21:01:51.8321679Z [2023-01-11 20:53:14,492] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122
2023-01-11T21:01:51.8322077Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8322201Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8322441Z [2023-01-11 20:53:15,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123
2023-01-11T21:01:51.8322449Z 
2023-01-11T21:01:51.8322467Z 
2023-01-11T21:01:51.8322548Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8322616Z import torch
2023-01-11T21:01:51.8322686Z import random
2023-01-11T21:01:51.8322800Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8322921Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8322927Z 
2023-01-11T21:01:51.8323003Z aten = torch.ops.aten
2023-01-11T21:01:51.8323135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8323213Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8323218Z 
2023-01-11T21:01:51.8323222Z 
2023-01-11T21:01:51.8323311Z async_compile.wait(globals())
2023-01-11T21:01:51.8323538Z del async_compile
2023-01-11T21:01:51.8323548Z 
2023-01-11T21:01:51.8323622Z def call(args):
2023-01-11T21:01:51.8323742Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8323813Z     args.clear()
2023-01-11T21:01:51.8323954Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8324075Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8324129Z     del arg0_1
2023-01-11T21:01:51.8324197Z     del arg1_1
2023-01-11T21:01:51.8324262Z     del arg7_1
2023-01-11T21:01:51.8324331Z     return (buf0, )
2023-01-11T21:01:51.8324337Z 
2023-01-11T21:01:51.8324341Z 
2023-01-11T21:01:51.8324416Z if __name__ == "__main__":
2023-01-11T21:01:51.8324531Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8324653Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8324866Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8325061Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8325253Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8325441Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8325631Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8325818Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8325994Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8326228Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8326370Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8326388Z 
2023-01-11T21:01:51.8326393Z 
2023-01-11T21:01:51.8326473Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8326541Z import torch
2023-01-11T21:01:51.8326610Z import random
2023-01-11T21:01:51.8326723Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8326841Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8326904Z 
2023-01-11T21:01:51.8326980Z aten = torch.ops.aten
2023-01-11T21:01:51.8327113Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8327191Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8327208Z 
2023-01-11T21:01:51.8327259Z 
2023-01-11T21:01:51.8327381Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8327586Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8327706Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8327806Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8327866Z {
2023-01-11T21:01:51.8327945Z     #pragma GCC ivdep
2023-01-11T21:01:51.8328024Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8328071Z     {
2023-01-11T21:01:51.8328148Z         #pragma GCC ivdep
2023-01-11T21:01:51.8328234Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8328296Z         {
2023-01-11T21:01:51.8328360Z             {
2023-01-11T21:01:51.8328422Z                 {
2023-01-11T21:01:51.8328521Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8328603Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8328668Z                 }
2023-01-11T21:01:51.8328729Z             }
2023-01-11T21:01:51.8328791Z         }
2023-01-11T21:01:51.8328849Z     }
2023-01-11T21:01:51.8328906Z }
2023-01-11T21:01:51.8328970Z ''')
2023-01-11T21:01:51.8328976Z 
2023-01-11T21:01:51.8328993Z 
2023-01-11T21:01:51.8329068Z async_compile.wait(globals())
2023-01-11T21:01:51.8329137Z del async_compile
2023-01-11T21:01:51.8329142Z 
2023-01-11T21:01:51.8329210Z def call(args):
2023-01-11T21:01:51.8329327Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8329396Z     args.clear()
2023-01-11T21:01:51.8329630Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8329764Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8329820Z     del arg7_1
2023-01-11T21:01:51.8329957Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8330074Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8330140Z     del arg0_1
2023-01-11T21:01:51.8330206Z     del arg1_1
2023-01-11T21:01:51.8330274Z     return (buf1, )
2023-01-11T21:01:51.8330280Z 
2023-01-11T21:01:51.8330284Z 
2023-01-11T21:01:51.8330357Z if __name__ == "__main__":
2023-01-11T21:01:51.8330469Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8330578Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8330794Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8330986Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8331179Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8331366Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8331555Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8331739Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8331914Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8332133Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8332284Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8332290Z 
2023-01-11T21:01:51.8332294Z 
2023-01-11T21:01:51.8332386Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8332455Z import torch
2023-01-11T21:01:51.8332523Z import random
2023-01-11T21:01:51.8332637Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8332786Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8332791Z 
2023-01-11T21:01:51.8332867Z aten = torch.ops.aten
2023-01-11T21:01:51.8333016Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8333108Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8333113Z 
2023-01-11T21:01:51.8333117Z 
2023-01-11T21:01:51.8333203Z async_compile.wait(globals())
2023-01-11T21:01:51.8333277Z del async_compile
2023-01-11T21:01:51.8333282Z 
2023-01-11T21:01:51.8333350Z def call(args):
2023-01-11T21:01:51.8333467Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8333536Z     args.clear()
2023-01-11T21:01:51.8333675Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8333778Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8333846Z     del arg0_1
2023-01-11T21:01:51.8333909Z     del arg1_1
2023-01-11T21:01:51.8333973Z     del arg7_1
2023-01-11T21:01:51.8334042Z     return (buf0, )
2023-01-11T21:01:51.8334047Z 
2023-01-11T21:01:51.8334051Z 
2023-01-11T21:01:51.8334124Z if __name__ == "__main__":
2023-01-11T21:01:51.8334236Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8334345Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8334560Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8334749Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8334936Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8335118Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8335301Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8335483Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8335661Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8335895Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8336035Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8336040Z 
2023-01-11T21:01:51.8336057Z 
2023-01-11T21:01:51.8336137Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8336206Z import torch
2023-01-11T21:01:51.8336274Z import random
2023-01-11T21:01:51.8336387Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8336505Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8336510Z 
2023-01-11T21:01:51.8336586Z aten = torch.ops.aten
2023-01-11T21:01:51.8336718Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8336795Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8336803Z 
2023-01-11T21:01:51.8336807Z 
2023-01-11T21:01:51.8336937Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8337138Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8337258Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8337357Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8337416Z {
2023-01-11T21:01:51.8337490Z     #pragma GCC ivdep
2023-01-11T21:01:51.8337555Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8337615Z     {
2023-01-11T21:01:51.8337690Z         #pragma GCC ivdep
2023-01-11T21:01:51.8337777Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8337838Z         {
2023-01-11T21:01:51.8337901Z             {
2023-01-11T21:01:51.8337964Z                 {
2023-01-11T21:01:51.8338051Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8338145Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8338239Z                 }
2023-01-11T21:01:51.8338303Z             }
2023-01-11T21:01:51.8338362Z         }
2023-01-11T21:01:51.8338420Z     }
2023-01-11T21:01:51.8338477Z }
2023-01-11T21:01:51.8338541Z ''')
2023-01-11T21:01:51.8338547Z 
2023-01-11T21:01:51.8338577Z 
2023-01-11T21:01:51.8338666Z async_compile.wait(globals())
2023-01-11T21:01:51.8338735Z del async_compile
2023-01-11T21:01:51.8338740Z 
2023-01-11T21:01:51.8338808Z def call(args):
2023-01-11T21:01:51.8338924Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8338993Z     args.clear()
2023-01-11T21:01:51.8339228Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8339348Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8339413Z     del arg7_1
2023-01-11T21:01:51.8339552Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8339668Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8339733Z     del arg0_1
2023-01-11T21:01:51.8339797Z     del arg1_1
2023-01-11T21:01:51.8339866Z     return (buf1, )
2023-01-11T21:01:51.8339873Z 
2023-01-11T21:01:51.8339877Z 
2023-01-11T21:01:51.8339950Z if __name__ == "__main__":
2023-01-11T21:01:51.8340051Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8340171Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8340384Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8340573Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8340759Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8340943Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8341125Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8341308Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8341473Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8341700Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8341852Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8341858Z 
2023-01-11T21:01:51.8341862Z 
2023-01-11T21:01:51.8341954Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8342022Z import torch
2023-01-11T21:01:51.8342091Z import random
2023-01-11T21:01:51.8342201Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8342319Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8342324Z 
2023-01-11T21:01:51.8342388Z aten = torch.ops.aten
2023-01-11T21:01:51.8342518Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8342609Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8342614Z 
2023-01-11T21:01:51.8342618Z 
2023-01-11T21:01:51.8342703Z async_compile.wait(globals())
2023-01-11T21:01:51.8342775Z del async_compile
2023-01-11T21:01:51.8342780Z 
2023-01-11T21:01:51.8342847Z def call(args):
2023-01-11T21:01:51.8342962Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8343032Z     args.clear()
2023-01-11T21:01:51.8343158Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8343276Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8343341Z     del arg0_1
2023-01-11T21:01:51.8343405Z     del arg1_1
2023-01-11T21:01:51.8343468Z     del arg7_1
2023-01-11T21:01:51.8343537Z     return (buf0, )
2023-01-11T21:01:51.8343542Z 
2023-01-11T21:01:51.8343546Z 
2023-01-11T21:01:51.8343650Z if __name__ == "__main__":
2023-01-11T21:01:51.8343761Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8343869Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8344130Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8344326Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8344516Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8344704Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8344891Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8345077Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8345255Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8345476Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8345632Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8345899Z [2023-01-11 20:53:15,055] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123
2023-01-11T21:01:51.8346295Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8346420Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8346674Z [2023-01-11 20:53:16,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124
2023-01-11T21:01:51.8346935Z [2023-01-11 20:53:16,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124
2023-01-11T21:01:51.8347334Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8347458Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8347710Z [2023-01-11 20:53:17,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125
2023-01-11T21:01:51.8347959Z [2023-01-11 20:53:17,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125
2023-01-11T21:01:51.8348355Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8348482Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8348735Z [2023-01-11 20:53:18,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126
2023-01-11T21:01:51.8348994Z [2023-01-11 20:53:18,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126
2023-01-11T21:01:51.8349387Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8349511Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8349762Z [2023-01-11 20:53:18,949] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127
2023-01-11T21:01:51.8350052Z [2023-01-11 20:53:18,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127
2023-01-11T21:01:51.8350472Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8350595Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8350846Z [2023-01-11 20:53:20,481] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128
2023-01-11T21:01:51.8350852Z 
2023-01-11T21:01:51.8350856Z 
2023-01-11T21:01:51.8350947Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8351004Z import torch
2023-01-11T21:01:51.8351072Z import random
2023-01-11T21:01:51.8351191Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8351308Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8351314Z 
2023-01-11T21:01:51.8351390Z aten = torch.ops.aten
2023-01-11T21:01:51.8351523Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8351614Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8351619Z 
2023-01-11T21:01:51.8351623Z 
2023-01-11T21:01:51.8351741Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8351944Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8352062Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8352160Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8352219Z {
2023-01-11T21:01:51.8352292Z     #pragma GCC ivdep
2023-01-11T21:01:51.8352372Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8352419Z     {
2023-01-11T21:01:51.8352495Z         #pragma GCC ivdep
2023-01-11T21:01:51.8352581Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8352646Z         {
2023-01-11T21:01:51.8352707Z             {
2023-01-11T21:01:51.8352770Z                 {
2023-01-11T21:01:51.8352948Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8353032Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8353095Z                 }
2023-01-11T21:01:51.8353158Z             }
2023-01-11T21:01:51.8353219Z         }
2023-01-11T21:01:51.8353279Z     }
2023-01-11T21:01:51.8353337Z }
2023-01-11T21:01:51.8353416Z ''')
2023-01-11T21:01:51.8353421Z 
2023-01-11T21:01:51.8353425Z 
2023-01-11T21:01:51.8353500Z async_compile.wait(globals())
2023-01-11T21:01:51.8353571Z del async_compile
2023-01-11T21:01:51.8353576Z 
2023-01-11T21:01:51.8353644Z def call(args):
2023-01-11T21:01:51.8353763Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8353832Z     args.clear()
2023-01-11T21:01:51.8354075Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8354208Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8354274Z     del arg7_1
2023-01-11T21:01:51.8354403Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8354520Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8354585Z     del arg0_1
2023-01-11T21:01:51.8354650Z     del arg1_1
2023-01-11T21:01:51.8354719Z     return (buf1, )
2023-01-11T21:01:51.8354725Z 
2023-01-11T21:01:51.8354729Z 
2023-01-11T21:01:51.8354802Z if __name__ == "__main__":
2023-01-11T21:01:51.8354913Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8355021Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8355239Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8355469Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8355662Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8355878Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8356067Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8356252Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8356430Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8356650Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8356806Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8356812Z 
2023-01-11T21:01:51.8356816Z 
2023-01-11T21:01:51.8356910Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8356979Z import torch
2023-01-11T21:01:51.8357048Z import random
2023-01-11T21:01:51.8357160Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8357279Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8357285Z 
2023-01-11T21:01:51.8357361Z aten = torch.ops.aten
2023-01-11T21:01:51.8357479Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8357572Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8357577Z 
2023-01-11T21:01:51.8357582Z 
2023-01-11T21:01:51.8357667Z async_compile.wait(globals())
2023-01-11T21:01:51.8357737Z del async_compile
2023-01-11T21:01:51.8357742Z 
2023-01-11T21:01:51.8357811Z def call(args):
2023-01-11T21:01:51.8357927Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8357996Z     args.clear()
2023-01-11T21:01:51.8358133Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8358237Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8358303Z     del arg0_1
2023-01-11T21:01:51.8358368Z     del arg1_1
2023-01-11T21:01:51.8358431Z     del arg7_1
2023-01-11T21:01:51.8358502Z     return (buf0, )
2023-01-11T21:01:51.8358507Z 
2023-01-11T21:01:51.8358511Z 
2023-01-11T21:01:51.8358586Z if __name__ == "__main__":
2023-01-11T21:01:51.8358697Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8358816Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8359020Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8359210Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8359397Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8359583Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8359768Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8359951Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8360131Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8360365Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8360504Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8360521Z 
2023-01-11T21:01:51.8360526Z 
2023-01-11T21:01:51.8360606Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8360673Z import torch
2023-01-11T21:01:51.8360742Z import random
2023-01-11T21:01:51.8360855Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8360973Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8360978Z 
2023-01-11T21:01:51.8361052Z aten = torch.ops.aten
2023-01-11T21:01:51.8361217Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8361297Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8361302Z 
2023-01-11T21:01:51.8361318Z 
2023-01-11T21:01:51.8361463Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8361668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8361786Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8361884Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8361943Z {
2023-01-11T21:01:51.8362018Z     #pragma GCC ivdep
2023-01-11T21:01:51.8362094Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8362142Z     {
2023-01-11T21:01:51.8362217Z         #pragma GCC ivdep
2023-01-11T21:01:51.8362302Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8362363Z         {
2023-01-11T21:01:51.8362425Z             {
2023-01-11T21:01:51.8362486Z                 {
2023-01-11T21:01:51.8362575Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8362669Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8362731Z                 }
2023-01-11T21:01:51.8362792Z             }
2023-01-11T21:01:51.8362854Z         }
2023-01-11T21:01:51.8362913Z     }
2023-01-11T21:01:51.8362970Z }
2023-01-11T21:01:51.8363034Z ''')
2023-01-11T21:01:51.8363039Z 
2023-01-11T21:01:51.8363043Z 
2023-01-11T21:01:51.8363130Z async_compile.wait(globals())
2023-01-11T21:01:51.8363200Z del async_compile
2023-01-11T21:01:51.8363205Z 
2023-01-11T21:01:51.8363274Z def call(args):
2023-01-11T21:01:51.8363524Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8363621Z     args.clear()
2023-01-11T21:01:51.8363863Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8363998Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8364055Z     del arg7_1
2023-01-11T21:01:51.8364195Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8364312Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8364381Z     del arg0_1
2023-01-11T21:01:51.8364449Z     del arg1_1
2023-01-11T21:01:51.8364519Z     return (buf1, )
2023-01-11T21:01:51.8364524Z 
2023-01-11T21:01:51.8364528Z 
2023-01-11T21:01:51.8364602Z if __name__ == "__main__":
2023-01-11T21:01:51.8364702Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8364823Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8365043Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8365236Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8365426Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8365612Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8365796Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8365979Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8366146Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8366375Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8366528Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8366533Z 
2023-01-11T21:01:51.8366538Z 
2023-01-11T21:01:51.8366630Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8366698Z import torch
2023-01-11T21:01:51.8366766Z import random
2023-01-11T21:01:51.8366879Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8366997Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8367061Z 
2023-01-11T21:01:51.8367140Z aten = torch.ops.aten
2023-01-11T21:01:51.8367258Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8367385Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8367391Z 
2023-01-11T21:01:51.8367396Z 
2023-01-11T21:01:51.8367484Z async_compile.wait(globals())
2023-01-11T21:01:51.8367556Z del async_compile
2023-01-11T21:01:51.8367561Z 
2023-01-11T21:01:51.8367629Z def call(args):
2023-01-11T21:01:51.8367746Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8367817Z     args.clear()
2023-01-11T21:01:51.8367957Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8368062Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8368131Z     del arg0_1
2023-01-11T21:01:51.8368197Z     del arg1_1
2023-01-11T21:01:51.8368264Z     del arg7_1
2023-01-11T21:01:51.8368334Z     return (buf0, )
2023-01-11T21:01:51.8368340Z 
2023-01-11T21:01:51.8368344Z 
2023-01-11T21:01:51.8368416Z if __name__ == "__main__":
2023-01-11T21:01:51.8368529Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8368639Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8368858Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8369050Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8369240Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8369427Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8369614Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8369799Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8369979Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8370198Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8370353Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8370359Z 
2023-01-11T21:01:51.8370363Z 
2023-01-11T21:01:51.8370455Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8370523Z import torch
2023-01-11T21:01:51.8370591Z import random
2023-01-11T21:01:51.8370704Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8370822Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8370827Z 
2023-01-11T21:01:51.8370903Z aten = torch.ops.aten
2023-01-11T21:01:51.8371022Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8371111Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8371116Z 
2023-01-11T21:01:51.8371121Z 
2023-01-11T21:01:51.8371254Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8371455Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8371575Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8371674Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8371733Z {
2023-01-11T21:01:51.8371806Z     #pragma GCC ivdep
2023-01-11T21:01:51.8371874Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8371932Z     {
2023-01-11T21:01:51.8372007Z         #pragma GCC ivdep
2023-01-11T21:01:51.8372093Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8372153Z         {
2023-01-11T21:01:51.8372215Z             {
2023-01-11T21:01:51.8372277Z                 {
2023-01-11T21:01:51.8372363Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8372455Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8372518Z                 }
2023-01-11T21:01:51.8372614Z             }
2023-01-11T21:01:51.8372674Z         }
2023-01-11T21:01:51.8372732Z     }
2023-01-11T21:01:51.8372778Z }
2023-01-11T21:01:51.8372854Z ''')
2023-01-11T21:01:51.8372859Z 
2023-01-11T21:01:51.8372864Z 
2023-01-11T21:01:51.8372976Z async_compile.wait(globals())
2023-01-11T21:01:51.8373048Z del async_compile
2023-01-11T21:01:51.8373053Z 
2023-01-11T21:01:51.8373121Z def call(args):
2023-01-11T21:01:51.8373237Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8373306Z     args.clear()
2023-01-11T21:01:51.8373544Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8373663Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8373730Z     del arg7_1
2023-01-11T21:01:51.8373868Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8373983Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8374052Z     del arg0_1
2023-01-11T21:01:51.8374117Z     del arg1_1
2023-01-11T21:01:51.8374186Z     return (buf1, )
2023-01-11T21:01:51.8374191Z 
2023-01-11T21:01:51.8374195Z 
2023-01-11T21:01:51.8374270Z if __name__ == "__main__":
2023-01-11T21:01:51.8374371Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8374491Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8374710Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8374903Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8375094Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8375283Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8375469Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8375654Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8375820Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8376052Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8376203Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8376469Z [2023-01-11 20:53:20,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128
2023-01-11T21:01:51.8376867Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8376992Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8377247Z [2023-01-11 20:53:21,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129
2023-01-11T21:01:51.8377509Z [2023-01-11 20:53:21,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129
2023-01-11T21:01:51.8377903Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8378027Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8378270Z [2023-01-11 20:53:22,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130
2023-01-11T21:01:51.8378530Z [2023-01-11 20:53:22,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130
2023-01-11T21:01:51.8378974Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8379101Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8379354Z [2023-01-11 20:53:22,853] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131
2023-01-11T21:01:51.8379616Z [2023-01-11 20:53:22,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131
2023-01-11T21:01:51.8388590Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8388724Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8388995Z [2023-01-11 20:53:24,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132
2023-01-11T21:01:51.8389257Z [2023-01-11 20:53:24,268] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132
2023-01-11T21:01:51.8389652Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8389775Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8390015Z [2023-01-11 20:53:25,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133
2023-01-11T21:01:51.8390038Z 
2023-01-11T21:01:51.8390043Z 
2023-01-11T21:01:51.8390127Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8390197Z import torch
2023-01-11T21:01:51.8390269Z import random
2023-01-11T21:01:51.8390384Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8390505Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8390511Z 
2023-01-11T21:01:51.8390588Z aten = torch.ops.aten
2023-01-11T21:01:51.8390721Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8390800Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8390819Z 
2023-01-11T21:01:51.8390823Z 
2023-01-11T21:01:51.8390898Z async_compile.wait(globals())
2023-01-11T21:01:51.8390969Z del async_compile
2023-01-11T21:01:51.8390974Z 
2023-01-11T21:01:51.8391043Z def call(args):
2023-01-11T21:01:51.8391162Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8391236Z     args.clear()
2023-01-11T21:01:51.8391375Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8391494Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8391548Z     del arg0_1
2023-01-11T21:01:51.8391614Z     del arg1_1
2023-01-11T21:01:51.8391678Z     del arg7_1
2023-01-11T21:01:51.8391748Z     return (buf0, )
2023-01-11T21:01:51.8391753Z 
2023-01-11T21:01:51.8391757Z 
2023-01-11T21:01:51.8391832Z if __name__ == "__main__":
2023-01-11T21:01:51.8391945Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8392069Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8392294Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8392474Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8392663Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8393014Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8393268Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8393455Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8393633Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8393869Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8394025Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8394031Z 
2023-01-11T21:01:51.8394035Z 
2023-01-11T21:01:51.8394129Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8394185Z import torch
2023-01-11T21:01:51.8394255Z import random
2023-01-11T21:01:51.8394368Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8394490Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8394495Z 
2023-01-11T21:01:51.8394572Z aten = torch.ops.aten
2023-01-11T21:01:51.8394704Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8394796Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8394801Z 
2023-01-11T21:01:51.8394805Z 
2023-01-11T21:01:51.8394924Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8395129Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8395249Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8395349Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8395410Z {
2023-01-11T21:01:51.8395486Z     #pragma GCC ivdep
2023-01-11T21:01:51.8395564Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8395611Z     {
2023-01-11T21:01:51.8395689Z         #pragma GCC ivdep
2023-01-11T21:01:51.8395775Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8395840Z         {
2023-01-11T21:01:51.8395903Z             {
2023-01-11T21:01:51.8395967Z                 {
2023-01-11T21:01:51.8396067Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8396152Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8396216Z                 }
2023-01-11T21:01:51.8396279Z             }
2023-01-11T21:01:51.8396340Z         }
2023-01-11T21:01:51.8396400Z     }
2023-01-11T21:01:51.8396458Z }
2023-01-11T21:01:51.8396536Z ''')
2023-01-11T21:01:51.8396541Z 
2023-01-11T21:01:51.8396545Z 
2023-01-11T21:01:51.8396620Z async_compile.wait(globals())
2023-01-11T21:01:51.8396691Z del async_compile
2023-01-11T21:01:51.8396696Z 
2023-01-11T21:01:51.8396765Z def call(args):
2023-01-11T21:01:51.8396882Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8396952Z     args.clear()
2023-01-11T21:01:51.8397188Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8397326Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8397392Z     del arg7_1
2023-01-11T21:01:51.8397521Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8397637Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8397704Z     del arg0_1
2023-01-11T21:01:51.8397770Z     del arg1_1
2023-01-11T21:01:51.8397840Z     return (buf1, )
2023-01-11T21:01:51.8397845Z 
2023-01-11T21:01:51.8397849Z 
2023-01-11T21:01:51.8397924Z if __name__ == "__main__":
2023-01-11T21:01:51.8398037Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8398146Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8398365Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8398591Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8398780Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8398994Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8399181Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8399363Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8399542Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8399756Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8399908Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8399914Z 
2023-01-11T21:01:51.8399918Z 
2023-01-11T21:01:51.8400013Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8400082Z import torch
2023-01-11T21:01:51.8400155Z import random
2023-01-11T21:01:51.8400269Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8400389Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8400395Z 
2023-01-11T21:01:51.8400475Z aten = torch.ops.aten
2023-01-11T21:01:51.8400593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8400683Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8400688Z 
2023-01-11T21:01:51.8400693Z 
2023-01-11T21:01:51.8400783Z async_compile.wait(globals())
2023-01-11T21:01:51.8400854Z del async_compile
2023-01-11T21:01:51.8400858Z 
2023-01-11T21:01:51.8400928Z def call(args):
2023-01-11T21:01:51.8401045Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8401115Z     args.clear()
2023-01-11T21:01:51.8401254Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8401372Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8401428Z     del arg0_1
2023-01-11T21:01:51.8401494Z     del arg1_1
2023-01-11T21:01:51.8401559Z     del arg7_1
2023-01-11T21:01:51.8401629Z     return (buf0, )
2023-01-11T21:01:51.8401634Z 
2023-01-11T21:01:51.8401640Z 
2023-01-11T21:01:51.8401715Z if __name__ == "__main__":
2023-01-11T21:01:51.8401827Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8401948Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8402155Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8402348Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8402541Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8402729Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8402917Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8403105Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8403284Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8403684Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8403828Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8403848Z 
2023-01-11T21:01:51.8403853Z 
2023-01-11T21:01:51.8403933Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8404002Z import torch
2023-01-11T21:01:51.8404072Z import random
2023-01-11T21:01:51.8404186Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8404306Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8404312Z 
2023-01-11T21:01:51.8404389Z aten = torch.ops.aten
2023-01-11T21:01:51.8404522Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8404660Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8404665Z 
2023-01-11T21:01:51.8404683Z 
2023-01-11T21:01:51.8404807Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8405059Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8405180Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8405280Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8405342Z {
2023-01-11T21:01:51.8405418Z     #pragma GCC ivdep
2023-01-11T21:01:51.8405497Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8405545Z     {
2023-01-11T21:01:51.8405621Z         #pragma GCC ivdep
2023-01-11T21:01:51.8405709Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8405772Z         {
2023-01-11T21:01:51.8405836Z             {
2023-01-11T21:01:51.8405899Z                 {
2023-01-11T21:01:51.8405984Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8406083Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8406146Z                 }
2023-01-11T21:01:51.8406209Z             }
2023-01-11T21:01:51.8406271Z         }
2023-01-11T21:01:51.8406333Z     }
2023-01-11T21:01:51.8406394Z }
2023-01-11T21:01:51.8406459Z ''')
2023-01-11T21:01:51.8406464Z 
2023-01-11T21:01:51.8406468Z 
2023-01-11T21:01:51.8406556Z async_compile.wait(globals())
2023-01-11T21:01:51.8406627Z del async_compile
2023-01-11T21:01:51.8406632Z 
2023-01-11T21:01:51.8406703Z def call(args):
2023-01-11T21:01:51.8406820Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8406891Z     args.clear()
2023-01-11T21:01:51.8407129Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8407262Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8407317Z     del arg7_1
2023-01-11T21:01:51.8407460Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8407577Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8407646Z     del arg0_1
2023-01-11T21:01:51.8407714Z     del arg1_1
2023-01-11T21:01:51.8407784Z     return (buf1, )
2023-01-11T21:01:51.8407789Z 
2023-01-11T21:01:51.8407794Z 
2023-01-11T21:01:51.8407868Z if __name__ == "__main__":
2023-01-11T21:01:51.8407982Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8408090Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8408310Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8408503Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8408695Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8408883Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8409073Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8409262Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8409427Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8409658Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8409816Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8409821Z 
2023-01-11T21:01:51.8409826Z 
2023-01-11T21:01:51.8409919Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8409989Z import torch
2023-01-11T21:01:51.8410059Z import random
2023-01-11T21:01:51.8410173Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8410293Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8410329Z 
2023-01-11T21:01:51.8410407Z aten = torch.ops.aten
2023-01-11T21:01:51.8410526Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8410617Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8410623Z 
2023-01-11T21:01:51.8410655Z 
2023-01-11T21:01:51.8410744Z async_compile.wait(globals())
2023-01-11T21:01:51.8410816Z del async_compile
2023-01-11T21:01:51.8410821Z 
2023-01-11T21:01:51.8410891Z def call(args):
2023-01-11T21:01:51.8411008Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8411079Z     args.clear()
2023-01-11T21:01:51.8411220Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8411323Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8411391Z     del arg0_1
2023-01-11T21:01:51.8411457Z     del arg1_1
2023-01-11T21:01:51.8411522Z     del arg7_1
2023-01-11T21:01:51.8411595Z     return (buf0, )
2023-01-11T21:01:51.8411601Z 
2023-01-11T21:01:51.8411605Z 
2023-01-11T21:01:51.8411680Z if __name__ == "__main__":
2023-01-11T21:01:51.8411793Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8411905Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8412122Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8412311Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8412502Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8412689Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8412872Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8413055Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8413233Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8413453Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8413609Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8413875Z [2023-01-11 20:53:25,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133
2023-01-11T21:01:51.8414275Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8414401Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8414657Z [2023-01-11 20:53:25,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134
2023-01-11T21:01:51.8414921Z [2023-01-11 20:53:25,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134
2023-01-11T21:01:51.8415320Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8415445Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8415699Z [2023-01-11 20:53:26,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135
2023-01-11T21:01:51.8415961Z [2023-01-11 20:53:26,393] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135
2023-01-11T21:01:51.8416342Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8416559Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8416818Z [2023-01-11 20:53:27,759] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136
2023-01-11T21:01:51.8417081Z [2023-01-11 20:53:27,787] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136
2023-01-11T21:01:51.8417476Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8417601Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8417857Z [2023-01-11 20:53:29,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137
2023-01-11T21:01:51.8418117Z [2023-01-11 20:53:29,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137
2023-01-11T21:01:51.8418512Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8418635Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8418886Z [2023-01-11 20:53:29,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138
2023-01-11T21:01:51.8418892Z 
2023-01-11T21:01:51.8418897Z 
2023-01-11T21:01:51.8418990Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8419049Z import torch
2023-01-11T21:01:51.8419122Z import random
2023-01-11T21:01:51.8419236Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8419357Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8419365Z 
2023-01-11T21:01:51.8419443Z aten = torch.ops.aten
2023-01-11T21:01:51.8419576Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8419666Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8419672Z 
2023-01-11T21:01:51.8419676Z 
2023-01-11T21:01:51.8419808Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8419999Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8420118Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8420217Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8420278Z {
2023-01-11T21:01:51.8420353Z     #pragma GCC ivdep
2023-01-11T21:01:51.8420432Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8420494Z     {
2023-01-11T21:01:51.8420558Z         #pragma GCC ivdep
2023-01-11T21:01:51.8420643Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8420705Z         {
2023-01-11T21:01:51.8420769Z             {
2023-01-11T21:01:51.8420836Z                 {
2023-01-11T21:01:51.8420936Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8421033Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8421084Z                 }
2023-01-11T21:01:51.8421146Z             }
2023-01-11T21:01:51.8421208Z         }
2023-01-11T21:01:51.8421270Z     }
2023-01-11T21:01:51.8421329Z }
2023-01-11T21:01:51.8421405Z ''')
2023-01-11T21:01:51.8421410Z 
2023-01-11T21:01:51.8421415Z 
2023-01-11T21:01:51.8421503Z async_compile.wait(globals())
2023-01-11T21:01:51.8421561Z del async_compile
2023-01-11T21:01:51.8421566Z 
2023-01-11T21:01:51.8421635Z def call(args):
2023-01-11T21:01:51.8421752Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8421854Z     args.clear()
2023-01-11T21:01:51.8422092Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8422250Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8422320Z     del arg7_1
2023-01-11T21:01:51.8422448Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8422562Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8422629Z     del arg0_1
2023-01-11T21:01:51.8422696Z     del arg1_1
2023-01-11T21:01:51.8422768Z     return (buf1, )
2023-01-11T21:01:51.8422773Z 
2023-01-11T21:01:51.8422777Z 
2023-01-11T21:01:51.8422852Z if __name__ == "__main__":
2023-01-11T21:01:51.8422965Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8423088Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8423296Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8423485Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8423674Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8423858Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8424042Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8424224Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8424401Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8424628Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8424769Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8424777Z 
2023-01-11T21:01:51.8424795Z 
2023-01-11T21:01:51.8424875Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8424944Z import torch
2023-01-11T21:01:51.8425014Z import random
2023-01-11T21:01:51.8425129Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8425250Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8425255Z 
2023-01-11T21:01:51.8425331Z aten = torch.ops.aten
2023-01-11T21:01:51.8425466Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8425543Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8425548Z 
2023-01-11T21:01:51.8425566Z 
2023-01-11T21:01:51.8425640Z async_compile.wait(globals())
2023-01-11T21:01:51.8425711Z del async_compile
2023-01-11T21:01:51.8425717Z 
2023-01-11T21:01:51.8425785Z def call(args):
2023-01-11T21:01:51.8425902Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8425972Z     args.clear()
2023-01-11T21:01:51.8426111Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8426233Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8426287Z     del arg0_1
2023-01-11T21:01:51.8426355Z     del arg1_1
2023-01-11T21:01:51.8426420Z     del arg7_1
2023-01-11T21:01:51.8426490Z     return (buf0, )
2023-01-11T21:01:51.8426495Z 
2023-01-11T21:01:51.8426499Z 
2023-01-11T21:01:51.8426573Z if __name__ == "__main__":
2023-01-11T21:01:51.8426685Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8426807Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8427013Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8427208Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8427397Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8427619Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8427807Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8428020Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8428202Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8428434Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8428590Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8428596Z 
2023-01-11T21:01:51.8428600Z 
2023-01-11T21:01:51.8428679Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8428748Z import torch
2023-01-11T21:01:51.8428817Z import random
2023-01-11T21:01:51.8428929Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8429049Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8429056Z 
2023-01-11T21:01:51.8429133Z aten = torch.ops.aten
2023-01-11T21:01:51.8429264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8429341Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8429362Z 
2023-01-11T21:01:51.8429367Z 
2023-01-11T21:01:51.8429486Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8429691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8429809Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8429909Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8429969Z {
2023-01-11T21:01:51.8430044Z     #pragma GCC ivdep
2023-01-11T21:01:51.8430124Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8430173Z     {
2023-01-11T21:01:51.8430249Z         #pragma GCC ivdep
2023-01-11T21:01:51.8430335Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8430401Z         {
2023-01-11T21:01:51.8430468Z             {
2023-01-11T21:01:51.8430531Z                 {
2023-01-11T21:01:51.8430631Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8430712Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8430777Z                 }
2023-01-11T21:01:51.8430840Z             }
2023-01-11T21:01:51.8430903Z         }
2023-01-11T21:01:51.8430962Z     }
2023-01-11T21:01:51.8431021Z }
2023-01-11T21:01:51.8431084Z ''')
2023-01-11T21:01:51.8431103Z 
2023-01-11T21:01:51.8431107Z 
2023-01-11T21:01:51.8431181Z async_compile.wait(globals())
2023-01-11T21:01:51.8431252Z del async_compile
2023-01-11T21:01:51.8431258Z 
2023-01-11T21:01:51.8431329Z def call(args):
2023-01-11T21:01:51.8431446Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8431516Z     args.clear()
2023-01-11T21:01:51.8431753Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8431888Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8431941Z     del arg7_1
2023-01-11T21:01:51.8432079Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8432198Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8432265Z     del arg0_1
2023-01-11T21:01:51.8432331Z     del arg1_1
2023-01-11T21:01:51.8432402Z     return (buf1, )
2023-01-11T21:01:51.8432407Z 
2023-01-11T21:01:51.8432411Z 
2023-01-11T21:01:51.8432485Z if __name__ == "__main__":
2023-01-11T21:01:51.8432596Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8432704Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8433002Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8433202Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8433433Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8433620Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8433850Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8434039Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8434215Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8434435Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8434590Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8434596Z 
2023-01-11T21:01:51.8434600Z 
2023-01-11T21:01:51.8434693Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8434762Z import torch
2023-01-11T21:01:51.8434832Z import random
2023-01-11T21:01:51.8434950Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8435070Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8435075Z 
2023-01-11T21:01:51.8435152Z aten = torch.ops.aten
2023-01-11T21:01:51.8435273Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8435364Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8435369Z 
2023-01-11T21:01:51.8435373Z 
2023-01-11T21:01:51.8435460Z async_compile.wait(globals())
2023-01-11T21:01:51.8435535Z del async_compile
2023-01-11T21:01:51.8435540Z 
2023-01-11T21:01:51.8435609Z def call(args):
2023-01-11T21:01:51.8435725Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8435795Z     args.clear()
2023-01-11T21:01:51.8435935Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8436038Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8436111Z     del arg0_1
2023-01-11T21:01:51.8436175Z     del arg1_1
2023-01-11T21:01:51.8436240Z     del arg7_1
2023-01-11T21:01:51.8436310Z     return (buf0, )
2023-01-11T21:01:51.8436315Z 
2023-01-11T21:01:51.8436319Z 
2023-01-11T21:01:51.8436395Z if __name__ == "__main__":
2023-01-11T21:01:51.8436506Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8436628Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8436829Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8437024Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8437215Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8437400Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8437586Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8437772Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8437953Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8438190Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8438330Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8438335Z 
2023-01-11T21:01:51.8438353Z 
2023-01-11T21:01:51.8438432Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8438501Z import torch
2023-01-11T21:01:51.8438570Z import random
2023-01-11T21:01:51.8438684Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8438805Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8438810Z 
2023-01-11T21:01:51.8438886Z aten = torch.ops.aten
2023-01-11T21:01:51.8439019Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8439126Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8439131Z 
2023-01-11T21:01:51.8439136Z 
2023-01-11T21:01:51.8439269Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8439495Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8439618Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8439717Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8439777Z {
2023-01-11T21:01:51.8439853Z     #pragma GCC ivdep
2023-01-11T21:01:51.8439919Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8439980Z     {
2023-01-11T21:01:51.8440057Z         #pragma GCC ivdep
2023-01-11T21:01:51.8440144Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8440207Z         {
2023-01-11T21:01:51.8440270Z             {
2023-01-11T21:01:51.8440333Z                 {
2023-01-11T21:01:51.8440418Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8440512Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8440578Z                 }
2023-01-11T21:01:51.8440642Z             }
2023-01-11T21:01:51.8440703Z         }
2023-01-11T21:01:51.8440763Z     }
2023-01-11T21:01:51.8440822Z }
2023-01-11T21:01:51.8440885Z ''')
2023-01-11T21:01:51.8440893Z 
2023-01-11T21:01:51.8440897Z 
2023-01-11T21:01:51.8440984Z async_compile.wait(globals())
2023-01-11T21:01:51.8441055Z del async_compile
2023-01-11T21:01:51.8441060Z 
2023-01-11T21:01:51.8441129Z def call(args):
2023-01-11T21:01:51.8441248Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8441319Z     args.clear()
2023-01-11T21:01:51.8441551Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8441684Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8441739Z     del arg7_1
2023-01-11T21:01:51.8441879Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8441998Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8442065Z     del arg0_1
2023-01-11T21:01:51.8442131Z     del arg1_1
2023-01-11T21:01:51.8442203Z     return (buf1, )
2023-01-11T21:01:51.8442208Z 
2023-01-11T21:01:51.8442213Z 
2023-01-11T21:01:51.8442287Z if __name__ == "__main__":
2023-01-11T21:01:51.8442387Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8442507Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8442723Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8442912Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8443102Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8443286Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8443642Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8443832Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8443999Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8444231Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8444384Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8444654Z [2023-01-11 20:53:29,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138
2023-01-11T21:01:51.8445053Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8445243Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8445538Z [2023-01-11 20:53:30,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139
2023-01-11T21:01:51.8445806Z [2023-01-11 20:53:30,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139
2023-01-11T21:01:51.8446201Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8446327Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8446578Z [2023-01-11 20:53:31,599] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140
2023-01-11T21:01:51.8446827Z [2023-01-11 20:53:31,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140
2023-01-11T21:01:51.8447227Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8447352Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8447605Z [2023-01-11 20:53:32,943] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141
2023-01-11T21:01:51.8447866Z [2023-01-11 20:53:32,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141
2023-01-11T21:01:51.8448262Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8448391Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8448642Z [2023-01-11 20:53:33,391] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142
2023-01-11T21:01:51.8448902Z [2023-01-11 20:53:33,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142
2023-01-11T21:01:51.8449300Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8449424Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8449665Z [2023-01-11 20:53:34,054] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143
2023-01-11T21:01:51.8449685Z 
2023-01-11T21:01:51.8449690Z 
2023-01-11T21:01:51.8449773Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8449843Z import torch
2023-01-11T21:01:51.8449912Z import random
2023-01-11T21:01:51.8450027Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8450147Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8450152Z 
2023-01-11T21:01:51.8450229Z aten = torch.ops.aten
2023-01-11T21:01:51.8450365Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8450442Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8450462Z 
2023-01-11T21:01:51.8450466Z 
2023-01-11T21:01:51.8450540Z async_compile.wait(globals())
2023-01-11T21:01:51.8450612Z del async_compile
2023-01-11T21:01:51.8450617Z 
2023-01-11T21:01:51.8450686Z def call(args):
2023-01-11T21:01:51.8450835Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8450905Z     args.clear()
2023-01-11T21:01:51.8451044Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8451190Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8451245Z     del arg0_1
2023-01-11T21:01:51.8451316Z     del arg1_1
2023-01-11T21:01:51.8451381Z     del arg7_1
2023-01-11T21:01:51.8451451Z     return (buf0, )
2023-01-11T21:01:51.8451457Z 
2023-01-11T21:01:51.8451461Z 
2023-01-11T21:01:51.8451535Z if __name__ == "__main__":
2023-01-11T21:01:51.8451649Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8451769Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8451989Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8452170Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8452365Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8452554Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8452747Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8452937Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8453115Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8453350Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8453504Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8453510Z 
2023-01-11T21:01:51.8453514Z 
2023-01-11T21:01:51.8453608Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8453664Z import torch
2023-01-11T21:01:51.8453737Z import random
2023-01-11T21:01:51.8453851Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8453970Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8453975Z 
2023-01-11T21:01:51.8454053Z aten = torch.ops.aten
2023-01-11T21:01:51.8454190Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8454280Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8454285Z 
2023-01-11T21:01:51.8454289Z 
2023-01-11T21:01:51.8454408Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8454611Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8454730Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8454829Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8454889Z {
2023-01-11T21:01:51.8454965Z     #pragma GCC ivdep
2023-01-11T21:01:51.8455046Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8455093Z     {
2023-01-11T21:01:51.8455172Z         #pragma GCC ivdep
2023-01-11T21:01:51.8455258Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8455321Z         {
2023-01-11T21:01:51.8455384Z             {
2023-01-11T21:01:51.8455447Z                 {
2023-01-11T21:01:51.8455548Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8455630Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8455694Z                 }
2023-01-11T21:01:51.8455756Z             }
2023-01-11T21:01:51.8455821Z         }
2023-01-11T21:01:51.8455882Z     }
2023-01-11T21:01:51.8455940Z }
2023-01-11T21:01:51.8456017Z ''')
2023-01-11T21:01:51.8456022Z 
2023-01-11T21:01:51.8456026Z 
2023-01-11T21:01:51.8456101Z async_compile.wait(globals())
2023-01-11T21:01:51.8456173Z del async_compile
2023-01-11T21:01:51.8456178Z 
2023-01-11T21:01:51.8456246Z def call(args):
2023-01-11T21:01:51.8456367Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8456439Z     args.clear()
2023-01-11T21:01:51.8456709Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8456842Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8456937Z     del arg7_1
2023-01-11T21:01:51.8457066Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8457183Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2023-01-11T21:01:51.8457250Z     del arg0_1
2023-01-11T21:01:51.8457317Z     del arg1_1
2023-01-11T21:01:51.8457387Z     return (buf1, )
2023-01-11T21:01:51.8457392Z 
2023-01-11T21:01:51.8457396Z 
2023-01-11T21:01:51.8457470Z if __name__ == "__main__":
2023-01-11T21:01:51.8457583Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8457692Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8457912Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8458109Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8458300Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8458492Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8458680Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8458866Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8459045Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8459264Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8459418Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8459424Z 
2023-01-11T21:01:51.8459428Z 
2023-01-11T21:01:51.8459523Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8459592Z import torch
2023-01-11T21:01:51.8459663Z import random
2023-01-11T21:01:51.8459777Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8459899Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8459905Z 
2023-01-11T21:01:51.8459982Z aten = torch.ops.aten
2023-01-11T21:01:51.8460103Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8460194Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8460199Z 
2023-01-11T21:01:51.8460203Z 
2023-01-11T21:01:51.8460290Z async_compile.wait(globals())
2023-01-11T21:01:51.8460362Z del async_compile
2023-01-11T21:01:51.8460367Z 
2023-01-11T21:01:51.8460438Z def call(args):
2023-01-11T21:01:51.8460555Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8460626Z     args.clear()
2023-01-11T21:01:51.8460766Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8460887Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8460940Z     del arg0_1
2023-01-11T21:01:51.8461006Z     del arg1_1
2023-01-11T21:01:51.8461072Z     del arg7_1
2023-01-11T21:01:51.8461143Z     return (buf0, )
2023-01-11T21:01:51.8461148Z 
2023-01-11T21:01:51.8461152Z 
2023-01-11T21:01:51.8461225Z if __name__ == "__main__":
2023-01-11T21:01:51.8461336Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8461458Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8461664Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8461857Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8462046Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8462229Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8462442Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8462625Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8462833Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8463067Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8463208Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8463226Z 
2023-01-11T21:01:51.8463231Z 
2023-01-11T21:01:51.8463311Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8463381Z import torch
2023-01-11T21:01:51.8463452Z import random
2023-01-11T21:01:51.8463567Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8463687Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8463693Z 
2023-01-11T21:01:51.8463772Z aten = torch.ops.aten
2023-01-11T21:01:51.8463903Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8463981Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8463986Z 
2023-01-11T21:01:51.8464003Z 
2023-01-11T21:01:51.8464121Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8464325Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8464443Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8464543Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8464602Z {
2023-01-11T21:01:51.8464677Z     #pragma GCC ivdep
2023-01-11T21:01:51.8464756Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8464803Z     {
2023-01-11T21:01:51.8464885Z         #pragma GCC ivdep
2023-01-11T21:01:51.8464970Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8465033Z         {
2023-01-11T21:01:51.8465096Z             {
2023-01-11T21:01:51.8465163Z                 {
2023-01-11T21:01:51.8465250Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8465346Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8465410Z                 }
2023-01-11T21:01:51.8465475Z             }
2023-01-11T21:01:51.8465536Z         }
2023-01-11T21:01:51.8465596Z     }
2023-01-11T21:01:51.8465655Z }
2023-01-11T21:01:51.8465719Z ''')
2023-01-11T21:01:51.8465724Z 
2023-01-11T21:01:51.8465741Z 
2023-01-11T21:01:51.8465815Z async_compile.wait(globals())
2023-01-11T21:01:51.8465886Z del async_compile
2023-01-11T21:01:51.8465891Z 
2023-01-11T21:01:51.8465960Z def call(args):
2023-01-11T21:01:51.8466075Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8466145Z     args.clear()
2023-01-11T21:01:51.8466379Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8466512Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8466568Z     del arg7_1
2023-01-11T21:01:51.8466707Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8466823Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8466893Z     del arg0_1
2023-01-11T21:01:51.8466958Z     del arg1_1
2023-01-11T21:01:51.8467027Z     return (buf1, )
2023-01-11T21:01:51.8467032Z 
2023-01-11T21:01:51.8467036Z 
2023-01-11T21:01:51.8467110Z if __name__ == "__main__":
2023-01-11T21:01:51.8467223Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8467332Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8467551Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8467740Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8467929Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8468149Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8468334Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8468543Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8468724Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8468938Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8469090Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8469096Z 
2023-01-11T21:01:51.8469100Z 
2023-01-11T21:01:51.8469194Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8469263Z import torch
2023-01-11T21:01:51.8469333Z import random
2023-01-11T21:01:51.8469447Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8469568Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8469574Z 
2023-01-11T21:01:51.8469650Z aten = torch.ops.aten
2023-01-11T21:01:51.8469769Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8469861Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8469866Z 
2023-01-11T21:01:51.8469871Z 
2023-01-11T21:01:51.8469958Z async_compile.wait(globals())
2023-01-11T21:01:51.8470029Z del async_compile
2023-01-11T21:01:51.8470034Z 
2023-01-11T21:01:51.8470104Z def call(args):
2023-01-11T21:01:51.8470222Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8470292Z     args.clear()
2023-01-11T21:01:51.8470431Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8470538Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8470606Z     del arg0_1
2023-01-11T21:01:51.8470672Z     del arg1_1
2023-01-11T21:01:51.8470739Z     del arg7_1
2023-01-11T21:01:51.8470809Z     return (buf0, )
2023-01-11T21:01:51.8470814Z 
2023-01-11T21:01:51.8470818Z 
2023-01-11T21:01:51.8470892Z if __name__ == "__main__":
2023-01-11T21:01:51.8471006Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8471115Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8471337Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8471529Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8471721Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8471909Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8472096Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8472282Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8472461Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8472682Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8472837Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8473181Z [2023-01-11 20:53:34,075] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143
2023-01-11T21:01:51.8473581Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8473708Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8473964Z [2023-01-11 20:53:35,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144
2023-01-11T21:01:51.8474262Z [2023-01-11 20:53:35,607] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144
2023-01-11T21:01:51.8474699Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8474827Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8475083Z [2023-01-11 20:53:36,899] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145
2023-01-11T21:01:51.8475342Z [2023-01-11 20:53:36,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145
2023-01-11T21:01:51.8475724Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8475854Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8476108Z [2023-01-11 20:53:37,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146
2023-01-11T21:01:51.8476369Z [2023-01-11 20:53:37,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146
2023-01-11T21:01:51.8476760Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8476885Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8477140Z [2023-01-11 20:53:37,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147
2023-01-11T21:01:51.8477401Z [2023-01-11 20:53:37,970] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147
2023-01-11T21:01:51.8477795Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8477918Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8478169Z [2023-01-11 20:53:39,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148
2023-01-11T21:01:51.8478176Z 
2023-01-11T21:01:51.8478181Z 
2023-01-11T21:01:51.8478275Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8478331Z import torch
2023-01-11T21:01:51.8478400Z import random
2023-01-11T21:01:51.8478514Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8478636Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8478641Z 
2023-01-11T21:01:51.8478719Z aten = torch.ops.aten
2023-01-11T21:01:51.8478853Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8478943Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8478948Z 
2023-01-11T21:01:51.8478952Z 
2023-01-11T21:01:51.8479084Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8479275Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8479394Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8479493Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8479585Z {
2023-01-11T21:01:51.8479659Z     #pragma GCC ivdep
2023-01-11T21:01:51.8479742Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8479802Z     {
2023-01-11T21:01:51.8479866Z         #pragma GCC ivdep
2023-01-11T21:01:51.8479978Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8480042Z         {
2023-01-11T21:01:51.8480106Z             {
2023-01-11T21:01:51.8480168Z                 {
2023-01-11T21:01:51.8480268Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8480363Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8480415Z                 }
2023-01-11T21:01:51.8480479Z             }
2023-01-11T21:01:51.8480540Z         }
2023-01-11T21:01:51.8480599Z     }
2023-01-11T21:01:51.8480658Z }
2023-01-11T21:01:51.8480738Z ''')
2023-01-11T21:01:51.8480743Z 
2023-01-11T21:01:51.8480748Z 
2023-01-11T21:01:51.8480837Z async_compile.wait(globals())
2023-01-11T21:01:51.8480895Z del async_compile
2023-01-11T21:01:51.8480901Z 
2023-01-11T21:01:51.8480976Z def call(args):
2023-01-11T21:01:51.8481095Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8481171Z     args.clear()
2023-01-11T21:01:51.8481411Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8481545Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8481612Z     del arg7_1
2023-01-11T21:01:51.8481738Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8481855Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2023-01-11T21:01:51.8481922Z     del arg0_1
2023-01-11T21:01:51.8481989Z     del arg1_1
2023-01-11T21:01:51.8482059Z     return (buf1, )
2023-01-11T21:01:51.8482064Z 
2023-01-11T21:01:51.8482069Z 
2023-01-11T21:01:51.8482143Z if __name__ == "__main__":
2023-01-11T21:01:51.8482255Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8482379Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8482586Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8482782Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8482976Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8483164Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8483489Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8483693Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8483873Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8484105Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8484247Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8484269Z 
2023-01-11T21:01:51.8484274Z 
2023-01-11T21:01:51.8484354Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8484423Z import torch
2023-01-11T21:01:51.8484495Z import random
2023-01-11T21:01:51.8484610Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8484730Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8484735Z 
2023-01-11T21:01:51.8484812Z aten = torch.ops.aten
2023-01-11T21:01:51.8484944Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8485022Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8485027Z 
2023-01-11T21:01:51.8485047Z 
2023-01-11T21:01:51.8485120Z async_compile.wait(globals())
2023-01-11T21:01:51.8485191Z del async_compile
2023-01-11T21:01:51.8485196Z 
2023-01-11T21:01:51.8485265Z def call(args):
2023-01-11T21:01:51.8485385Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8485518Z     args.clear()
2023-01-11T21:01:51.8485659Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8485809Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8485866Z     del arg0_1
2023-01-11T21:01:51.8485933Z     del arg1_1
2023-01-11T21:01:51.8485997Z     del arg7_1
2023-01-11T21:01:51.8486067Z     return (buf0, )
2023-01-11T21:01:51.8486072Z 
2023-01-11T21:01:51.8486076Z 
2023-01-11T21:01:51.8486151Z if __name__ == "__main__":
2023-01-11T21:01:51.8486265Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8486386Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8486594Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8486786Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8486980Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8487167Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8487355Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8487538Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8487716Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8487950Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8488105Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8488111Z 
2023-01-11T21:01:51.8488115Z 
2023-01-11T21:01:51.8488195Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8488265Z import torch
2023-01-11T21:01:51.8488335Z import random
2023-01-11T21:01:51.8488451Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8488573Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8488578Z 
2023-01-11T21:01:51.8488656Z aten = torch.ops.aten
2023-01-11T21:01:51.8488789Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8488880Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8488886Z 
2023-01-11T21:01:51.8488890Z 
2023-01-11T21:01:51.8489010Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8489214Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8489334Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8489433Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8489495Z {
2023-01-11T21:01:51.8489570Z     #pragma GCC ivdep
2023-01-11T21:01:51.8489648Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8489696Z     {
2023-01-11T21:01:51.8489772Z         #pragma GCC ivdep
2023-01-11T21:01:51.8489861Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8489923Z         {
2023-01-11T21:01:51.8489986Z             {
2023-01-11T21:01:51.8490050Z                 {
2023-01-11T21:01:51.8490149Z                     auto tmp0 = in_ptr0[i0 + (3*i1)];
2023-01-11T21:01:51.8490232Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8490297Z                 }
2023-01-11T21:01:51.8490359Z             }
2023-01-11T21:01:51.8490421Z         }
2023-01-11T21:01:51.8490481Z     }
2023-01-11T21:01:51.8490539Z }
2023-01-11T21:01:51.8490603Z ''')
2023-01-11T21:01:51.8490621Z 
2023-01-11T21:01:51.8490626Z 
2023-01-11T21:01:51.8490699Z async_compile.wait(globals())
2023-01-11T21:01:51.8490770Z del async_compile
2023-01-11T21:01:51.8490776Z 
2023-01-11T21:01:51.8490845Z def call(args):
2023-01-11T21:01:51.8490962Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8491032Z     args.clear()
2023-01-11T21:01:51.8491265Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8491429Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8491483Z     del arg7_1
2023-01-11T21:01:51.8491650Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2023-01-11T21:01:51.8491768Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8491834Z     del arg0_1
2023-01-11T21:01:51.8491902Z     del arg1_1
2023-01-11T21:01:51.8491972Z     return (buf1, )
2023-01-11T21:01:51.8491978Z 
2023-01-11T21:01:51.8491982Z 
2023-01-11T21:01:51.8492056Z if __name__ == "__main__":
2023-01-11T21:01:51.8492169Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8492278Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8492497Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8492689Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8492877Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8493063Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8493247Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8493427Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8493606Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8493822Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8493974Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8493979Z 
2023-01-11T21:01:51.8493983Z 
2023-01-11T21:01:51.8494076Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8494147Z import torch
2023-01-11T21:01:51.8494217Z import random
2023-01-11T21:01:51.8494330Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8494450Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8494455Z 
2023-01-11T21:01:51.8494533Z aten = torch.ops.aten
2023-01-11T21:01:51.8494652Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8494743Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8494748Z 
2023-01-11T21:01:51.8494753Z 
2023-01-11T21:01:51.8494839Z async_compile.wait(globals())
2023-01-11T21:01:51.8494911Z del async_compile
2023-01-11T21:01:51.8494916Z 
2023-01-11T21:01:51.8494986Z def call(args):
2023-01-11T21:01:51.8495101Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8495171Z     args.clear()
2023-01-11T21:01:51.8495310Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8495413Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8495481Z     del arg0_1
2023-01-11T21:01:51.8495547Z     del arg1_1
2023-01-11T21:01:51.8495611Z     del arg7_1
2023-01-11T21:01:51.8495681Z     return (buf0, )
2023-01-11T21:01:51.8495689Z 
2023-01-11T21:01:51.8495693Z 
2023-01-11T21:01:51.8495766Z if __name__ == "__main__":
2023-01-11T21:01:51.8495878Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8496001Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8496209Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8496402Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8496595Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8496781Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8496968Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8497184Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8497361Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8497623Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8497763Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8497768Z 
2023-01-11T21:01:51.8497787Z 
2023-01-11T21:01:51.8497866Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8497936Z import torch
2023-01-11T21:01:51.8498005Z import random
2023-01-11T21:01:51.8498118Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8498237Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8498243Z 
2023-01-11T21:01:51.8498320Z aten = torch.ops.aten
2023-01-11T21:01:51.8498453Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8498531Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8498536Z 
2023-01-11T21:01:51.8498540Z 
2023-01-11T21:01:51.8498672Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8498877Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8498998Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8499098Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8499158Z {
2023-01-11T21:01:51.8499233Z     #pragma GCC ivdep
2023-01-11T21:01:51.8499302Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8499367Z     {
2023-01-11T21:01:51.8499443Z         #pragma GCC ivdep
2023-01-11T21:01:51.8499530Z         for(long i1=0; i1<166375; i1+=1)
2023-01-11T21:01:51.8499593Z         {
2023-01-11T21:01:51.8499657Z             {
2023-01-11T21:01:51.8499721Z                 {
2023-01-11T21:01:51.8499807Z                     auto tmp0 = in_ptr0[i0 + (12*i1)];
2023-01-11T21:01:51.8499904Z                     out_ptr0[i1 + (166375*i0)] = tmp0;
2023-01-11T21:01:51.8499967Z                 }
2023-01-11T21:01:51.8500030Z             }
2023-01-11T21:01:51.8500092Z         }
2023-01-11T21:01:51.8500155Z     }
2023-01-11T21:01:51.8500214Z }
2023-01-11T21:01:51.8500277Z ''')
2023-01-11T21:01:51.8500283Z 
2023-01-11T21:01:51.8500288Z 
2023-01-11T21:01:51.8500375Z async_compile.wait(globals())
2023-01-11T21:01:51.8500445Z del async_compile
2023-01-11T21:01:51.8500450Z 
2023-01-11T21:01:51.8500520Z def call(args):
2023-01-11T21:01:51.8500637Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2023-01-11T21:01:51.8500710Z     args.clear()
2023-01-11T21:01:51.8500947Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8501080Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8501134Z     del arg7_1
2023-01-11T21:01:51.8501275Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2023-01-11T21:01:51.8501392Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2023-01-11T21:01:51.8501461Z     del arg0_1
2023-01-11T21:01:51.8501527Z     del arg1_1
2023-01-11T21:01:51.8501597Z     return (buf1, )
2023-01-11T21:01:51.8501602Z 
2023-01-11T21:01:51.8501606Z 
2023-01-11T21:01:51.8501681Z if __name__ == "__main__":
2023-01-11T21:01:51.8501782Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8501904Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8502125Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8502318Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8502511Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8502732Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8502921Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8503133Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8503300Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8503531Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8503685Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2023-01-11T21:01:51.8503951Z [2023-01-11 20:53:39,359] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148
2023-01-11T21:01:51.8503957Z 
2023-01-11T21:01:51.8504023Z ok (50.146s)
2023-01-11T21:01:51.8504477Z   test_conv_functional_bn_fuse_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8504607Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8504863Z [2023-01-11 20:53:40,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149
2023-01-11T21:01:51.8505121Z [2023-01-11 20:53:42,099] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149
2023-01-11T21:01:51.8505127Z 
2023-01-11T21:01:51.8505220Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8505276Z import torch
2023-01-11T21:01:51.8505345Z import random
2023-01-11T21:01:51.8505460Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8505580Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8505587Z 
2023-01-11T21:01:51.8505668Z aten = torch.ops.aten
2023-01-11T21:01:51.8505803Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8505893Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8505898Z 
2023-01-11T21:01:51.8505902Z 
2023-01-11T21:01:51.8506037Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8506227Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8506345Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8506445Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8506504Z {
2023-01-11T21:01:51.8506579Z     #pragma GCC ivdep
2023-01-11T21:01:51.8506658Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.8506718Z     {
2023-01-11T21:01:51.8506782Z         #pragma GCC ivdep
2023-01-11T21:01:51.8506865Z         for(long i1=0; i1<31136; i1+=1)
2023-01-11T21:01:51.8506927Z         {
2023-01-11T21:01:51.8506990Z             {
2023-01-11T21:01:51.8507055Z                 {
2023-01-11T21:01:51.8507156Z                     auto tmp0 = in_ptr0[i1 + (31136*i0)];
2023-01-11T21:01:51.8507251Z                     out_ptr0[i0 + (3*i1)] = tmp0;
2023-01-11T21:01:51.8507301Z                 }
2023-01-11T21:01:51.8507366Z             }
2023-01-11T21:01:51.8507428Z         }
2023-01-11T21:01:51.8507488Z     }
2023-01-11T21:01:51.8507547Z }
2023-01-11T21:01:51.8507623Z ''')
2023-01-11T21:01:51.8507629Z 
2023-01-11T21:01:51.8507632Z 
2023-01-11T21:01:51.8507769Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.8507959Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8508074Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8508185Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8508231Z {
2023-01-11T21:01:51.8508304Z     #pragma GCC ivdep
2023-01-11T21:01:51.8508382Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8508504Z     {
2023-01-11T21:01:51.8508580Z         #pragma GCC ivdep
2023-01-11T21:01:51.8508661Z         for(long i1=0; i1<29916; i1+=1)
2023-01-11T21:01:51.8508722Z         {
2023-01-11T21:01:51.8508771Z             {
2023-01-11T21:01:51.8508834Z                 {
2023-01-11T21:01:51.8508959Z                     auto tmp0 = in_ptr0[i0 + (64*i1)];
2023-01-11T21:01:51.8509056Z                     out_ptr0[i1 + (29916*i0)] = tmp0;
2023-01-11T21:01:51.8509118Z                 }
2023-01-11T21:01:51.8509180Z             }
2023-01-11T21:01:51.8509228Z         }
2023-01-11T21:01:51.8509287Z     }
2023-01-11T21:01:51.8509345Z }
2023-01-11T21:01:51.8509422Z ''')
2023-01-11T21:01:51.8509427Z 
2023-01-11T21:01:51.8509431Z 
2023-01-11T21:01:51.8509518Z async_compile.wait(globals())
2023-01-11T21:01:51.8509589Z del async_compile
2023-01-11T21:01:51.8509594Z 
2023-01-11T21:01:51.8509662Z def call(args):
2023-01-11T21:01:51.8509773Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2023-01-11T21:01:51.8509832Z     args.clear()
2023-01-11T21:01:51.8510052Z     buf0 = empty_strided((1, 3, 556, 56), (93408, 1, 168, 3), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8510183Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8510251Z     del arg6_1
2023-01-11T21:01:51.8510501Z     buf1 = torch.ops.mkldnn._convolution_pointwise(buf0, arg2_1, arg3_1, (0, 0), (1, 1), (1, 1), 1, 'none', [], '')
2023-01-11T21:01:51.8510611Z     assert_size_stride(buf1, (1, 64, 554, 54), (1914624, 1, 3456, 64))
2023-01-11T21:01:51.8510677Z     del arg2_1
2023-01-11T21:01:51.8510731Z     del arg3_1
2023-01-11T21:01:51.8510794Z     del buf0
2023-01-11T21:01:51.8511019Z     buf2 = empty_strided((1, 64, 554, 54), (1914624, 29916, 54, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8511152Z     kernel_cpp_1(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8511221Z     return (buf2, )
2023-01-11T21:01:51.8511227Z 
2023-01-11T21:01:51.8511232Z 
2023-01-11T21:01:51.8511307Z if __name__ == "__main__":
2023-01-11T21:01:51.8511419Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8511538Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8511719Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8511909Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8512114Z     arg2_1 = rand_strided((64, 3, 3, 3), (1, 0, 0, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8512299Z     arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8512483Z     arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8512667Z     arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8512963Z     arg6_1 = rand_strided((1, 3, 556, 56), (93408, 31136, 56, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8513112Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2023-01-11T21:01:51.8513120Z 
2023-01-11T21:01:51.8513172Z ok (1.819s)
2023-01-11T21:01:51.8513615Z   test_convolution1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8513742Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8514004Z [2023-01-11 20:53:42,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150
2023-01-11T21:01:51.8514265Z [2023-01-11 20:53:43,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150
2023-01-11T21:01:51.8514271Z 
2023-01-11T21:01:51.8514365Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8514468Z import torch
2023-01-11T21:01:51.8514538Z import random
2023-01-11T21:01:51.8514652Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8514759Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8514815Z 
2023-01-11T21:01:51.8514881Z aten = torch.ops.aten
2023-01-11T21:01:51.8515014Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8515105Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8515111Z 
2023-01-11T21:01:51.8515115Z 
2023-01-11T21:01:51.8515248Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8515451Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8515566Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.8515661Z                        bool* __restrict__ out_ptr0)
2023-01-11T21:01:51.8515708Z {
2023-01-11T21:01:51.8515782Z     #pragma GCC ivdep
2023-01-11T21:01:51.8515863Z     for(long i0=0; i0<2352; i0+=1)
2023-01-11T21:01:51.8515925Z     {
2023-01-11T21:01:51.8515986Z         {
2023-01-11T21:01:51.8516048Z             {
2023-01-11T21:01:51.8516141Z                 auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.8516222Z                 auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.8516321Z                 auto tmp2 = static_cast<float>(0);
2023-01-11T21:01:51.8516407Z                 auto tmp3 = tmp1 <= tmp2;
2023-01-11T21:01:51.8516491Z                 in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8516571Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.8516633Z             }
2023-01-11T21:01:51.8516693Z         }
2023-01-11T21:01:51.8516740Z     }
2023-01-11T21:01:51.8516798Z }
2023-01-11T21:01:51.8516873Z ''')
2023-01-11T21:01:51.8516879Z 
2023-01-11T21:01:51.8516883Z 
2023-01-11T21:01:51.8516971Z async_compile.wait(globals())
2023-01-11T21:01:51.8517044Z del async_compile
2023-01-11T21:01:51.8517049Z 
2023-01-11T21:01:51.8517117Z def call(args):
2023-01-11T21:01:51.8517220Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.8517278Z     args.clear()
2023-01-11T21:01:51.8517428Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2023-01-11T21:01:51.8517540Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2023-01-11T21:01:51.8517611Z     del primals_2
2023-01-11T21:01:51.8517731Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2023-01-11T21:01:51.8517944Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.8518075Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8518179Z     return (buf1, primals_1, primals_3, buf2, )
2023-01-11T21:01:51.8518185Z 
2023-01-11T21:01:51.8518190Z 
2023-01-11T21:01:51.8518252Z if __name__ == "__main__":
2023-01-11T21:01:51.8518366Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8518487Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8518703Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8518904Z     primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8519127Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8519262Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.8519268Z 
2023-01-11T21:01:51.8519333Z ok (1.749s)
2023-01-11T21:01:51.8519776Z   test_convolution2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8519890Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8520179Z [2023-01-11 20:53:44,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151
2023-01-11T21:01:51.8520467Z [2023-01-11 20:53:44,022] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151
2023-01-11T21:01:51.8520474Z 
2023-01-11T21:01:51.8520567Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8520635Z import torch
2023-01-11T21:01:51.8520704Z import random
2023-01-11T21:01:51.8520816Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8520933Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8520939Z 
2023-01-11T21:01:51.8521003Z aten = torch.ops.aten
2023-01-11T21:01:51.8521136Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8521226Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8521231Z 
2023-01-11T21:01:51.8521236Z 
2023-01-11T21:01:51.8521321Z async_compile.wait(globals())
2023-01-11T21:01:51.8521394Z del async_compile
2023-01-11T21:01:51.8521399Z 
2023-01-11T21:01:51.8521466Z def call(args):
2023-01-11T21:01:51.8521546Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8521616Z     args.clear()
2023-01-11T21:01:51.8521735Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1)
2023-01-11T21:01:51.8521840Z     assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1))
2023-01-11T21:01:51.8521907Z     del arg0_1
2023-01-11T21:01:51.8521972Z     del arg1_1
2023-01-11T21:01:51.8522036Z     del arg2_1
2023-01-11T21:01:51.8522106Z     return (buf0, )
2023-01-11T21:01:51.8522112Z 
2023-01-11T21:01:51.8522116Z 
2023-01-11T21:01:51.8522189Z if __name__ == "__main__":
2023-01-11T21:01:51.8522290Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8522411Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8522621Z     arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8522830Z     arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8523020Z     arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8523142Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8523147Z 
2023-01-11T21:01:51.8523213Z ok (0.067s)
2023-01-11T21:01:51.8523770Z   test_cos_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8523900Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8524162Z [2023-01-11 20:53:44,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152
2023-01-11T21:01:51.8524413Z [2023-01-11 20:53:45,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152
2023-01-11T21:01:51.8524422Z 
2023-01-11T21:01:51.8524519Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8524588Z import torch
2023-01-11T21:01:51.8524660Z import random
2023-01-11T21:01:51.8524775Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8524894Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8524900Z 
2023-01-11T21:01:51.8524976Z aten = torch.ops.aten
2023-01-11T21:01:51.8525096Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8525187Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8525192Z 
2023-01-11T21:01:51.8525196Z 
2023-01-11T21:01:51.8525329Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8525531Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8525648Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8525817Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8525913Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8525973Z {
2023-01-11T21:01:51.8526040Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8526137Z     {
2023-01-11T21:01:51.8526291Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8526373Z         auto tmp1 = tmp0.cos();
2023-01-11T21:01:51.8526501Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8526583Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.8526711Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8526791Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:51.8526858Z         auto tmp6 = tmp5.cos();
2023-01-11T21:01:51.8526945Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8527031Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8527091Z     }
2023-01-11T21:01:51.8527179Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8527258Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.8527305Z     {
2023-01-11T21:01:51.8527385Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8527470Z         auto tmp1 = std::cos(tmp0);
2023-01-11T21:01:51.8527566Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:51.8527645Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.8527739Z         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.8527819Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:51.8527890Z         auto tmp6 = std::cos(tmp5);
2023-01-11T21:01:51.8527967Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.8528043Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:51.8528102Z     }
2023-01-11T21:01:51.8528160Z }
2023-01-11T21:01:51.8528238Z ''')
2023-01-11T21:01:51.8528244Z 
2023-01-11T21:01:51.8528248Z 
2023-01-11T21:01:51.8528334Z async_compile.wait(globals())
2023-01-11T21:01:51.8528394Z del async_compile
2023-01-11T21:01:51.8528411Z 
2023-01-11T21:01:51.8528470Z def call(args):
2023-01-11T21:01:51.8528538Z     arg0_1, = args
2023-01-11T21:01:51.8528607Z     args.clear()
2023-01-11T21:01:51.8528810Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8529008Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8529170Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8529237Z     del arg0_1
2023-01-11T21:01:51.8529299Z     return (buf0, buf1, )
2023-01-11T21:01:51.8529304Z 
2023-01-11T21:01:51.8529321Z 
2023-01-11T21:01:51.8529383Z if __name__ == "__main__":
2023-01-11T21:01:51.8529497Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8529618Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8529814Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8529921Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8529928Z 
2023-01-11T21:01:51.8529994Z ok (1.548s)
2023-01-11T21:01:51.8530182Z   test_cpp_wrapper_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:01:51.8530303Z   test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.002s)
2023-01-11T21:01:51.8530508Z   test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s)
2023-01-11T21:01:51.8530940Z   test_div1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8531066Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8531327Z [2023-01-11 20:53:45,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153
2023-01-11T21:01:51.8531620Z [2023-01-11 20:53:47,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153
2023-01-11T21:01:51.8531626Z 
2023-01-11T21:01:51.8531746Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8531817Z import torch
2023-01-11T21:01:51.8531886Z import random
2023-01-11T21:01:51.8531988Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8532108Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8532114Z 
2023-01-11T21:01:51.8532191Z aten = torch.ops.aten
2023-01-11T21:01:51.8532323Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8532414Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8532419Z 
2023-01-11T21:01:51.8532423Z 
2023-01-11T21:01:51.8532556Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8532759Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8532879Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8532981Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8533069Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8533165Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8533259Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.8533352Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8533444Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:51.8533502Z {
2023-01-11T21:01:51.8533581Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8533629Z     {
2023-01-11T21:01:51.8533760Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8533886Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8533968Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8534052Z         auto tmp3 = tmp2.floor();
2023-01-11T21:01:51.8534133Z         auto tmp4 = tmp2.trunc();
2023-01-11T21:01:51.8534219Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8534289Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8534374Z         tmp4.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8534456Z         tmp2.store(out_ptr3 + 8*i0);
2023-01-11T21:01:51.8534537Z         tmp3.store(out_ptr4 + 8*i0);
2023-01-11T21:01:51.8534596Z     }
2023-01-11T21:01:51.8534682Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8534759Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.8534806Z     {
2023-01-11T21:01:51.8534885Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8534964Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8535042Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8535132Z         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:51.8535217Z         auto tmp4 = std::trunc(tmp2);
2023-01-11T21:01:51.8535293Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8535356Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8535428Z         out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.8535501Z         out_ptr3[i0] = tmp2;
2023-01-11T21:01:51.8535571Z         out_ptr4[i0] = tmp3;
2023-01-11T21:01:51.8535630Z     }
2023-01-11T21:01:51.8535689Z }
2023-01-11T21:01:51.8535753Z ''')
2023-01-11T21:01:51.8535759Z 
2023-01-11T21:01:51.8535776Z 
2023-01-11T21:01:51.8535850Z async_compile.wait(globals())
2023-01-11T21:01:51.8535921Z del async_compile
2023-01-11T21:01:51.8535926Z 
2023-01-11T21:01:51.8535994Z def call(args):
2023-01-11T21:01:51.8536068Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8536137Z     args.clear()
2023-01-11T21:01:51.8536331Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8536521Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8536697Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8536883Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8537098Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8537389Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8537458Z     del arg0_1
2023-01-11T21:01:51.8537522Z     del arg1_1
2023-01-11T21:01:51.8537618Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8537623Z 
2023-01-11T21:01:51.8537627Z 
2023-01-11T21:01:51.8537702Z if __name__ == "__main__":
2023-01-11T21:01:51.8537803Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8537924Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8538120Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8538311Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8538428Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8538434Z 
2023-01-11T21:01:51.8538502Z ok (1.600s)
2023-01-11T21:01:51.8538934Z   test_div2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8539061Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8539320Z [2023-01-11 20:53:47,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154
2023-01-11T21:01:51.8539571Z [2023-01-11 20:53:48,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154
2023-01-11T21:01:51.8539588Z 
2023-01-11T21:01:51.8539670Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8539738Z import torch
2023-01-11T21:01:51.8539807Z import random
2023-01-11T21:01:51.8539921Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8540042Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8540047Z 
2023-01-11T21:01:51.8540124Z aten = torch.ops.aten
2023-01-11T21:01:51.8540256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8540333Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8540338Z 
2023-01-11T21:01:51.8540355Z 
2023-01-11T21:01:51.8540474Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8540674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8540789Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8540893Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8540990Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8541087Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8541181Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.8541260Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8541352Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:51.8541413Z {
2023-01-11T21:01:51.8541488Z     #pragma GCC ivdep
2023-01-11T21:01:51.8541566Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8541625Z     {
2023-01-11T21:01:51.8541686Z         {
2023-01-11T21:01:51.8541737Z             {
2023-01-11T21:01:51.8541823Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8541909Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.8542013Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8542099Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:51.8542195Z                 auto tmp4 = std::floor(tmp3);
2023-01-11T21:01:51.8542287Z                 auto tmp5 = std::trunc(tmp3);
2023-01-11T21:01:51.8542386Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.8542463Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.8542539Z                 out_ptr2[i0] = tmp5;
2023-01-11T21:01:51.8542640Z                 out_ptr3[i0] = tmp3;
2023-01-11T21:01:51.8542717Z                 out_ptr4[i0] = tmp4;
2023-01-11T21:01:51.8542778Z             }
2023-01-11T21:01:51.8542840Z         }
2023-01-11T21:01:51.8542887Z     }
2023-01-11T21:01:51.8542944Z }
2023-01-11T21:01:51.8543020Z ''')
2023-01-11T21:01:51.8543026Z 
2023-01-11T21:01:51.8543030Z 
2023-01-11T21:01:51.8543117Z async_compile.wait(globals())
2023-01-11T21:01:51.8543187Z del async_compile
2023-01-11T21:01:51.8543192Z 
2023-01-11T21:01:51.8543260Z def call(args):
2023-01-11T21:01:51.8543333Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8543391Z     args.clear()
2023-01-11T21:01:51.8543584Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8543775Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8543962Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8544149Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8544334Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8544590Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8544657Z     del arg0_1
2023-01-11T21:01:51.8544709Z     del arg1_1
2023-01-11T21:01:51.8544805Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8544810Z 
2023-01-11T21:01:51.8544815Z 
2023-01-11T21:01:51.8544890Z if __name__ == "__main__":
2023-01-11T21:01:51.8545002Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8545123Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8545316Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8545508Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8545622Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8545628Z 
2023-01-11T21:01:51.8545681Z ok (1.595s)
2023-01-11T21:01:51.8546108Z   test_div3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8546235Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8546492Z [2023-01-11 20:53:48,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155
2023-01-11T21:01:51.8546756Z [2023-01-11 20:53:50,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155
2023-01-11T21:01:51.8546762Z 
2023-01-11T21:01:51.8546853Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8546924Z import torch
2023-01-11T21:01:51.8546994Z import random
2023-01-11T21:01:51.8547106Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8547212Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8547217Z 
2023-01-11T21:01:51.8547293Z aten = torch.ops.aten
2023-01-11T21:01:51.8547425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8547514Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8547519Z 
2023-01-11T21:01:51.8547523Z 
2023-01-11T21:01:51.8547655Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8547856Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8547973Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8548108Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8548193Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8548314Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8548409Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8548503Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8548596Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8548654Z {
2023-01-11T21:01:51.8548727Z     #pragma GCC ivdep
2023-01-11T21:01:51.8548797Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8548855Z     {
2023-01-11T21:01:51.8548917Z         {
2023-01-11T21:01:51.8548980Z             {
2023-01-11T21:01:51.8549070Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8549156Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.8549260Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8549351Z                 auto tmp3 = static_cast<float>(tmp2);
2023-01-11T21:01:51.8549437Z                 auto tmp4 = tmp1 / tmp3;
2023-01-11T21:01:51.8549686Z                 auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2023-01-11T21:01:51.8549770Z                 auto tmp6 = tmp0 / tmp2;
2023-01-11T21:01:51.8549852Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.8549929Z                 out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.8550006Z                 out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.8550069Z                 out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.8550144Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:51.8550205Z             }
2023-01-11T21:01:51.8550267Z         }
2023-01-11T21:01:51.8550327Z     }
2023-01-11T21:01:51.8550384Z }
2023-01-11T21:01:51.8550460Z ''')
2023-01-11T21:01:51.8550465Z 
2023-01-11T21:01:51.8550470Z 
2023-01-11T21:01:51.8550545Z async_compile.wait(globals())
2023-01-11T21:01:51.8550616Z del async_compile
2023-01-11T21:01:51.8550623Z 
2023-01-11T21:01:51.8550691Z def call(args):
2023-01-11T21:01:51.8550763Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8550831Z     args.clear()
2023-01-11T21:01:51.8551026Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8551216Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8551390Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8551579Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8551762Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8552020Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8552087Z     del arg0_1
2023-01-11T21:01:51.8552152Z     del arg1_1
2023-01-11T21:01:51.8552250Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8552256Z 
2023-01-11T21:01:51.8552260Z 
2023-01-11T21:01:51.8552333Z if __name__ == "__main__":
2023-01-11T21:01:51.8552447Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8552556Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8552745Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8553009Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8553126Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8553131Z 
2023-01-11T21:01:51.8553198Z ok (1.576s)
2023-01-11T21:01:51.8553630Z   test_div4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8553792Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8554095Z [2023-01-11 20:53:50,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156
2023-01-11T21:01:51.8554358Z [2023-01-11 20:53:50,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156
2023-01-11T21:01:51.8554364Z 
2023-01-11T21:01:51.8554444Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8554513Z import torch
2023-01-11T21:01:51.8554580Z import random
2023-01-11T21:01:51.8554692Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8554812Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8554817Z 
2023-01-11T21:01:51.8554892Z aten = torch.ops.aten
2023-01-11T21:01:51.8555024Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8555116Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8555122Z 
2023-01-11T21:01:51.8555126Z 
2023-01-11T21:01:51.8555245Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8555451Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8555568Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8555670Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8555766Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8555861Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8555953Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8556052Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8556130Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8556190Z {
2023-01-11T21:01:51.8556265Z     #pragma GCC ivdep
2023-01-11T21:01:51.8556346Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8556408Z     {
2023-01-11T21:01:51.8556469Z         {
2023-01-11T21:01:51.8556519Z             {
2023-01-11T21:01:51.8556607Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8556693Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.8556800Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8556903Z                 auto tmp3 = static_cast<float>(tmp2);
2023-01-11T21:01:51.8556988Z                 auto tmp4 = tmp1 / tmp3;
2023-01-11T21:01:51.8557236Z                 auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2023-01-11T21:01:51.8557308Z                 auto tmp6 = tmp0 / tmp2;
2023-01-11T21:01:51.8557391Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.8557468Z                 out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.8557543Z                 out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.8557622Z                 out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.8557697Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:51.8557761Z             }
2023-01-11T21:01:51.8557809Z         }
2023-01-11T21:01:51.8557869Z     }
2023-01-11T21:01:51.8557927Z }
2023-01-11T21:01:51.8558004Z ''')
2023-01-11T21:01:51.8558009Z 
2023-01-11T21:01:51.8558013Z 
2023-01-11T21:01:51.8558102Z async_compile.wait(globals())
2023-01-11T21:01:51.8558173Z del async_compile
2023-01-11T21:01:51.8558179Z 
2023-01-11T21:01:51.8558247Z def call(args):
2023-01-11T21:01:51.8558320Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8558377Z     args.clear()
2023-01-11T21:01:51.8558572Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8558763Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8558950Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8559138Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8559321Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8559607Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8559702Z     del arg0_1
2023-01-11T21:01:51.8559756Z     del arg1_1
2023-01-11T21:01:51.8559854Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8559860Z 
2023-01-11T21:01:51.8559864Z 
2023-01-11T21:01:51.8559939Z if __name__ == "__main__":
2023-01-11T21:01:51.8560051Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8560173Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8560361Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8560548Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8560648Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8560668Z 
2023-01-11T21:01:51.8560721Z ok (0.074s)
2023-01-11T21:01:51.8561155Z   test_div5_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8561283Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8561542Z [2023-01-11 20:53:50,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157
2023-01-11T21:01:51.8561804Z [2023-01-11 20:53:51,976] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157
2023-01-11T21:01:51.8561810Z 
2023-01-11T21:01:51.8561903Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8561972Z import torch
2023-01-11T21:01:51.8562040Z import random
2023-01-11T21:01:51.8562143Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8562264Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8562269Z 
2023-01-11T21:01:51.8562345Z aten = torch.ops.aten
2023-01-11T21:01:51.8562480Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8562571Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8562577Z 
2023-01-11T21:01:51.8562582Z 
2023-01-11T21:01:51.8562712Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8562914Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8563030Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8563129Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8563212Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8563303Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8563523Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8563635Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8563697Z {
2023-01-11T21:01:51.8563772Z     #pragma GCC ivdep
2023-01-11T21:01:51.8563852Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8563899Z     {
2023-01-11T21:01:51.8563962Z         {
2023-01-11T21:01:51.8564067Z             {
2023-01-11T21:01:51.8564155Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8564259Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8564358Z                 auto tmp2 = static_cast<float>(16);
2023-01-11T21:01:51.8564431Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:51.8564530Z                 auto tmp4 = static_cast<long>(16);
2023-01-11T21:01:51.8564781Z                 auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4);
2023-01-11T21:01:51.8564868Z                 auto tmp6 = tmp0 / tmp4;
2023-01-11T21:01:51.8564949Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.8565085Z                 out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.8565162Z                 out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.8565238Z                 out_ptr3[i0] = tmp3;
2023-01-11T21:01:51.8565301Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:51.8565395Z             }
2023-01-11T21:01:51.8565459Z         }
2023-01-11T21:01:51.8565519Z     }
2023-01-11T21:01:51.8565577Z }
2023-01-11T21:01:51.8565655Z ''')
2023-01-11T21:01:51.8565661Z 
2023-01-11T21:01:51.8565665Z 
2023-01-11T21:01:51.8565752Z async_compile.wait(globals())
2023-01-11T21:01:51.8565811Z del async_compile
2023-01-11T21:01:51.8565816Z 
2023-01-11T21:01:51.8565882Z def call(args):
2023-01-11T21:01:51.8565949Z     arg0_1, = args
2023-01-11T21:01:51.8566017Z     args.clear()
2023-01-11T21:01:51.8566212Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8566400Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8566586Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8566763Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8566948Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8567183Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8567250Z     del arg0_1
2023-01-11T21:01:51.8567346Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8567352Z 
2023-01-11T21:01:51.8567356Z 
2023-01-11T21:01:51.8567430Z if __name__ == "__main__":
2023-01-11T21:01:51.8567541Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8567662Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8567837Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8567943Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8567950Z 
2023-01-11T21:01:51.8568016Z ok (1.558s)
2023-01-11T21:01:51.8568446Z   test_div6_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8568572Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8568829Z [2023-01-11 20:53:52,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158
2023-01-11T21:01:51.8569094Z [2023-01-11 20:53:53,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158
2023-01-11T21:01:51.8569100Z 
2023-01-11T21:01:51.8569193Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8569259Z import torch
2023-01-11T21:01:51.8569330Z import random
2023-01-11T21:01:51.8569431Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8569547Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8569552Z 
2023-01-11T21:01:51.8569631Z aten = torch.ops.aten
2023-01-11T21:01:51.8569762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8569852Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8569857Z 
2023-01-11T21:01:51.8569861Z 
2023-01-11T21:01:51.8569991Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8570192Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8570308Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.8570398Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8570496Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8570589Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8570713Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8570808Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8570898Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8570961Z {
2023-01-11T21:01:51.8571048Z     #pragma GCC ivdep
2023-01-11T21:01:51.8571129Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8571188Z     {
2023-01-11T21:01:51.8571250Z         {
2023-01-11T21:01:51.8571312Z             {
2023-01-11T21:01:51.8571400Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8571474Z                 auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:51.8571576Z                 auto tmp1 = static_cast<long>(tmp0);
2023-01-11T21:01:51.8571678Z                 auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:51.8571777Z                 auto tmp4 = static_cast<float>(tmp3);
2023-01-11T21:01:51.8571861Z                 auto tmp5 = tmp2 / tmp4;
2023-01-11T21:01:51.8572109Z                 auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3);
2023-01-11T21:01:51.8572196Z                 auto tmp7 = tmp1 / tmp3;
2023-01-11T21:01:51.8572297Z                 auto tmp8 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8572370Z                 auto tmp9 = tmp8 / tmp4;
2023-01-11T21:01:51.8572451Z                 out_ptr0[i0] = tmp5;
2023-01-11T21:01:51.8572528Z                 out_ptr1[i0] = tmp6;
2023-01-11T21:01:51.8572605Z                 out_ptr2[i0] = tmp7;
2023-01-11T21:01:51.8572680Z                 out_ptr3[i0] = tmp9;
2023-01-11T21:01:51.8572755Z                 out_ptr4[i0] = tmp6;
2023-01-11T21:01:51.8572816Z             }
2023-01-11T21:01:51.8572864Z         }
2023-01-11T21:01:51.8572924Z     }
2023-01-11T21:01:51.8572983Z }
2023-01-11T21:01:51.8573059Z ''')
2023-01-11T21:01:51.8573065Z 
2023-01-11T21:01:51.8573069Z 
2023-01-11T21:01:51.8573157Z async_compile.wait(globals())
2023-01-11T21:01:51.8573228Z del async_compile
2023-01-11T21:01:51.8573233Z 
2023-01-11T21:01:51.8573303Z def call(args):
2023-01-11T21:01:51.8573364Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8573434Z     args.clear()
2023-01-11T21:01:51.8573628Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8573816Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8574002Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8574190Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8574374Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8574630Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8574686Z     del arg0_1
2023-01-11T21:01:51.8574751Z     del arg1_1
2023-01-11T21:01:51.8574846Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8574854Z 
2023-01-11T21:01:51.8574858Z 
2023-01-11T21:01:51.8574932Z if __name__ == "__main__":
2023-01-11T21:01:51.8575045Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8575168Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8575353Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.8575543Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8575643Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8575648Z 
2023-01-11T21:01:51.8575713Z ok (1.583s)
2023-01-11T21:01:51.8576146Z   test_div7_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8576310Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8576594Z [2023-01-11 20:53:53,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159
2023-01-11T21:01:51.8576862Z [2023-01-11 20:53:55,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159
2023-01-11T21:01:51.8576868Z 
2023-01-11T21:01:51.8576959Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8577029Z import torch
2023-01-11T21:01:51.8577099Z import random
2023-01-11T21:01:51.8577198Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8577318Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8577323Z 
2023-01-11T21:01:51.8577398Z aten = torch.ops.aten
2023-01-11T21:01:51.8577529Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8577618Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8577625Z 
2023-01-11T21:01:51.8577630Z 
2023-01-11T21:01:51.8577760Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8577963Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8578081Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8578170Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8578266Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8578360Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8578451Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8578546Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8578636Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8578695Z {
2023-01-11T21:01:51.8578756Z     #pragma GCC ivdep
2023-01-11T21:01:51.8578837Z     for(long i0=0; i0<10000; i0+=1)
2023-01-11T21:01:51.8578896Z     {
2023-01-11T21:01:51.8578959Z         {
2023-01-11T21:01:51.8579022Z             {
2023-01-11T21:01:51.8579108Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8579193Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.8579288Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8579388Z                 auto tmp3 = static_cast<float>(tmp2);
2023-01-11T21:01:51.8579472Z                 auto tmp4 = tmp1 / tmp3;
2023-01-11T21:01:51.8579717Z                 auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2023-01-11T21:01:51.8579801Z                 auto tmp6 = tmp0 / tmp2;
2023-01-11T21:01:51.8579881Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.8579962Z                 out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.8580027Z                 out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.8580104Z                 out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.8580179Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:51.8580241Z             }
2023-01-11T21:01:51.8580305Z         }
2023-01-11T21:01:51.8580365Z     }
2023-01-11T21:01:51.8580422Z }
2023-01-11T21:01:51.8580486Z ''')
2023-01-11T21:01:51.8580491Z 
2023-01-11T21:01:51.8580496Z 
2023-01-11T21:01:51.8580582Z async_compile.wait(globals())
2023-01-11T21:01:51.8580653Z del async_compile
2023-01-11T21:01:51.8580658Z 
2023-01-11T21:01:51.8580725Z def call(args):
2023-01-11T21:01:51.8580797Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8580865Z     args.clear()
2023-01-11T21:01:51.8581066Z     buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8581252Z     buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8581450Z     buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8581647Z     buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8581840Z     buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8582126Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8582219Z     del arg0_1
2023-01-11T21:01:51.8582287Z     del arg1_1
2023-01-11T21:01:51.8582382Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8582387Z 
2023-01-11T21:01:51.8582393Z 
2023-01-11T21:01:51.8582467Z if __name__ == "__main__":
2023-01-11T21:01:51.8582567Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8582686Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8582885Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8583085Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8583197Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8583202Z 
2023-01-11T21:01:51.8583270Z ok (1.569s)
2023-01-11T21:01:51.8583588Z   test_div8_cpu (__main__.CpuTests) ... [2023-01-11 20:53:55,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160
2023-01-11T21:01:51.8583853Z [2023-01-11 20:53:56,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160
2023-01-11T21:01:51.8583859Z 
2023-01-11T21:01:51.8583938Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8584009Z import torch
2023-01-11T21:01:51.8584078Z import random
2023-01-11T21:01:51.8584192Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8584310Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8584315Z 
2023-01-11T21:01:51.8584390Z aten = torch.ops.aten
2023-01-11T21:01:51.8584521Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8584610Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8584616Z 
2023-01-11T21:01:51.8584620Z 
2023-01-11T21:01:51.8584740Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8584942Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8585051Z extern "C" void kernel(long* __restrict__ out_ptr0,
2023-01-11T21:01:51.8585145Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8585236Z                        long* __restrict__ out_ptr2)
2023-01-11T21:01:51.8585294Z {
2023-01-11T21:01:51.8585354Z     {
2023-01-11T21:01:51.8585403Z         {
2023-01-11T21:01:51.8585503Z             auto tmp0 = static_cast<long>(1024);
2023-01-11T21:01:51.8585601Z             auto tmp1 = static_cast<long>(100);
2023-01-11T21:01:51.8585685Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8585762Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:51.8585822Z         }
2023-01-11T21:01:51.8585882Z     }
2023-01-11T21:01:51.8585929Z     {
2023-01-11T21:01:51.8585989Z         {
2023-01-11T21:01:51.8586087Z             auto tmp0 = static_cast<long>(1024);
2023-01-11T21:01:51.8586188Z             auto tmp1 = static_cast<long>(100);
2023-01-11T21:01:51.8586430Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2023-01-11T21:01:51.8586510Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:51.8586570Z         }
2023-01-11T21:01:51.8586617Z     }
2023-01-11T21:01:51.8586676Z     {
2023-01-11T21:01:51.8586735Z         {
2023-01-11T21:01:51.8586832Z             auto tmp0 = static_cast<long>(1024);
2023-01-11T21:01:51.8586929Z             auto tmp1 = static_cast<long>(100);
2023-01-11T21:01:51.8587013Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8587088Z             out_ptr2[0] = tmp2;
2023-01-11T21:01:51.8587136Z         }
2023-01-11T21:01:51.8587194Z     }
2023-01-11T21:01:51.8587252Z }
2023-01-11T21:01:51.8587327Z ''')
2023-01-11T21:01:51.8587332Z 
2023-01-11T21:01:51.8587336Z 
2023-01-11T21:01:51.8587422Z async_compile.wait(globals())
2023-01-11T21:01:51.8587494Z del async_compile
2023-01-11T21:01:51.8587530Z 
2023-01-11T21:01:51.8587599Z def call(args):
2023-01-11T21:01:51.8587767Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8587943Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8588146Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8588310Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8588393Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8588398Z 
2023-01-11T21:01:51.8588402Z 
2023-01-11T21:01:51.8588476Z if __name__ == "__main__":
2023-01-11T21:01:51.8588588Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8588710Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8588794Z     print_performance(lambda: call([]))
2023-01-11T21:01:51.8588800Z 
2023-01-11T21:01:51.8588865Z ok (1.533s)
2023-01-11T21:01:51.8589300Z   test_div_prim_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8589430Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8589689Z [2023-01-11 20:53:56,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161
2023-01-11T21:01:51.8589951Z [2023-01-11 20:53:58,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161
2023-01-11T21:01:51.8590347Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8590474Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8590730Z [2023-01-11 20:53:58,266] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162
2023-01-11T21:01:51.8590992Z [2023-01-11 20:53:59,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162
2023-01-11T21:01:51.8590998Z 
2023-01-11T21:01:51.8591091Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8591147Z import torch
2023-01-11T21:01:51.8591216Z import random
2023-01-11T21:01:51.8591330Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8591448Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8591453Z 
2023-01-11T21:01:51.8591530Z aten = torch.ops.aten
2023-01-11T21:01:51.8591663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8591753Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8591760Z 
2023-01-11T21:01:51.8591764Z 
2023-01-11T21:01:51.8591895Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8592085Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8592205Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8592309Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8592407Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8592466Z {
2023-01-11T21:01:51.8592546Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8592605Z     {
2023-01-11T21:01:51.8592730Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8592974Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8593061Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8593148Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8593208Z     }
2023-01-11T21:01:51.8593295Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8593413Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:51.8593460Z     {
2023-01-11T21:01:51.8593540Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8593618Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8593769Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8593848Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8593909Z     }
2023-01-11T21:01:51.8593968Z }
2023-01-11T21:01:51.8594037Z ''')
2023-01-11T21:01:51.8594043Z 
2023-01-11T21:01:51.8594047Z 
2023-01-11T21:01:51.8594134Z async_compile.wait(globals())
2023-01-11T21:01:51.8594206Z del async_compile
2023-01-11T21:01:51.8594212Z 
2023-01-11T21:01:51.8594281Z def call(args):
2023-01-11T21:01:51.8594354Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8594423Z     args.clear()
2023-01-11T21:01:51.8594625Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8594774Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8594844Z     del arg0_1
2023-01-11T21:01:51.8594910Z     del arg1_1
2023-01-11T21:01:51.8594980Z     return (buf0, )
2023-01-11T21:01:51.8594985Z 
2023-01-11T21:01:51.8594990Z 
2023-01-11T21:01:51.8595064Z if __name__ == "__main__":
2023-01-11T21:01:51.8595177Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8595299Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8595497Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8595677Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8595792Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8595797Z 
2023-01-11T21:01:51.8595802Z 
2023-01-11T21:01:51.8595893Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8595962Z import torch
2023-01-11T21:01:51.8596027Z import random
2023-01-11T21:01:51.8607400Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8607585Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8607592Z 
2023-01-11T21:01:51.8607667Z aten = torch.ops.aten
2023-01-11T21:01:51.8607799Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8607889Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8607895Z 
2023-01-11T21:01:51.8607899Z 
2023-01-11T21:01:51.8608055Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8608257Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8608367Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8608463Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8608552Z                        long* __restrict__ out_ptr0)
2023-01-11T21:01:51.8608607Z {
2023-01-11T21:01:51.8608679Z     #pragma GCC ivdep
2023-01-11T21:01:51.8608752Z     for(long i0=0; i0<100; i0+=1)
2023-01-11T21:01:51.8608819Z     {
2023-01-11T21:01:51.8608878Z         {
2023-01-11T21:01:51.8608935Z             {
2023-01-11T21:01:51.8609016Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8609096Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8609173Z                 auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8609244Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8609298Z             }
2023-01-11T21:01:51.8609351Z         }
2023-01-11T21:01:51.8609404Z     }
2023-01-11T21:01:51.8609455Z }
2023-01-11T21:01:51.8609525Z ''')
2023-01-11T21:01:51.8609530Z 
2023-01-11T21:01:51.8609534Z 
2023-01-11T21:01:51.8609616Z async_compile.wait(globals())
2023-01-11T21:01:51.8609674Z del async_compile
2023-01-11T21:01:51.8609685Z 
2023-01-11T21:01:51.8609742Z def call(args):
2023-01-11T21:01:51.8609807Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8609868Z     args.clear()
2023-01-11T21:01:51.8610052Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8610209Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8610375Z     del arg0_1
2023-01-11T21:01:51.8610433Z     del arg1_1
2023-01-11T21:01:51.8610490Z     return (buf0, )
2023-01-11T21:01:51.8610496Z 
2023-01-11T21:01:51.8610500Z 
2023-01-11T21:01:51.8610605Z if __name__ == "__main__":
2023-01-11T21:01:51.8610715Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8610833Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8611019Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8611202Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8611310Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8611316Z 
2023-01-11T21:01:51.8611375Z ok (3.100s)
2023-01-11T21:01:51.8611803Z   test_div_zero_dim_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8611927Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8612185Z [2023-01-11 20:53:59,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163
2023-01-11T21:01:51.8612444Z [2023-01-11 20:54:01,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163
2023-01-11T21:01:51.8612834Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8612950Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8613200Z [2023-01-11 20:54:01,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164
2023-01-11T21:01:51.8613457Z [2023-01-11 20:54:02,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164
2023-01-11T21:01:51.8613846Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8613963Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8614208Z [2023-01-11 20:54:02,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165
2023-01-11T21:01:51.8614455Z [2023-01-11 20:54:04,513] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165
2023-01-11T21:01:51.8614849Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8614966Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8615211Z [2023-01-11 20:54:04,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166
2023-01-11T21:01:51.8615217Z 
2023-01-11T21:01:51.8615303Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8615369Z import torch
2023-01-11T21:01:51.8615429Z import random
2023-01-11T21:01:51.8615534Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8615646Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8615651Z 
2023-01-11T21:01:51.8615716Z aten = torch.ops.aten
2023-01-11T21:01:51.8615873Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8615957Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8615962Z 
2023-01-11T21:01:51.8615966Z 
2023-01-11T21:01:51.8616120Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8616319Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8616428Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8616522Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8616613Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8616697Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8616782Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.8616865Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8616947Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:51.8617005Z {
2023-01-11T21:01:51.8617085Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.8617206Z     {
2023-01-11T21:01:51.8617334Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8617457Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:51.8617540Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8617627Z         auto tmp3 = tmp2.floor();
2023-01-11T21:01:51.8617711Z         auto tmp4 = tmp2.trunc();
2023-01-11T21:01:51.8617798Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8617885Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8617956Z         tmp4.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8618040Z         tmp2.store(out_ptr3 + 8*i0);
2023-01-11T21:01:51.8618121Z         tmp3.store(out_ptr4 + 8*i0);
2023-01-11T21:01:51.8618181Z     }
2023-01-11T21:01:51.8618267Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8618343Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.8618403Z     {
2023-01-11T21:01:51.8618470Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8618550Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:51.8618629Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8618719Z         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:51.8618807Z         auto tmp4 = std::trunc(tmp2);
2023-01-11T21:01:51.8618885Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8618958Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8619019Z         out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.8619092Z         out_ptr3[i0] = tmp2;
2023-01-11T21:01:51.8619166Z         out_ptr4[i0] = tmp3;
2023-01-11T21:01:51.8619230Z     }
2023-01-11T21:01:51.8619289Z }
2023-01-11T21:01:51.8619366Z ''')
2023-01-11T21:01:51.8619371Z 
2023-01-11T21:01:51.8619375Z 
2023-01-11T21:01:51.8619464Z async_compile.wait(globals())
2023-01-11T21:01:51.8619524Z del async_compile
2023-01-11T21:01:51.8619528Z 
2023-01-11T21:01:51.8619597Z def call(args):
2023-01-11T21:01:51.8619669Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8619738Z     args.clear()
2023-01-11T21:01:51.8619934Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8620125Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8620315Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8620502Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8620674Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8620935Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8621003Z     del arg0_1
2023-01-11T21:01:51.8621071Z     del arg1_1
2023-01-11T21:01:51.8621167Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8621172Z 
2023-01-11T21:01:51.8621176Z 
2023-01-11T21:01:51.8621282Z if __name__ == "__main__":
2023-01-11T21:01:51.8621395Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8621517Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8621726Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8621915Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8622028Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8622034Z 
2023-01-11T21:01:51.8622038Z 
2023-01-11T21:01:51.8622132Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8622202Z import torch
2023-01-11T21:01:51.8622271Z import random
2023-01-11T21:01:51.8622387Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8622507Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8622512Z 
2023-01-11T21:01:51.8622577Z aten = torch.ops.aten
2023-01-11T21:01:51.8622709Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8622802Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8622807Z 
2023-01-11T21:01:51.8622812Z 
2023-01-11T21:01:51.8622944Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8623152Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8623271Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8623373Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8623470Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8623552Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8623644Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.8623737Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8623829Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:51.8623889Z {
2023-01-11T21:01:51.8623967Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.8624026Z     {
2023-01-11T21:01:51.8624135Z         auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2023-01-11T21:01:51.8624266Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8624349Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8624435Z         auto tmp3 = tmp2.floor();
2023-01-11T21:01:51.8624518Z         auto tmp4 = tmp2.trunc();
2023-01-11T21:01:51.8624605Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8624690Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8624760Z         tmp4.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8624842Z         tmp2.store(out_ptr3 + 8*i0);
2023-01-11T21:01:51.8624924Z         tmp3.store(out_ptr4 + 8*i0);
2023-01-11T21:01:51.8624983Z     }
2023-01-11T21:01:51.8625070Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8625148Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.8625207Z     {
2023-01-11T21:01:51.8625273Z         auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.8625352Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8625434Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8625523Z         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:51.8625609Z         auto tmp4 = std::trunc(tmp2);
2023-01-11T21:01:51.8625685Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8625761Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8625822Z         out_ptr2[i0] = tmp4;
2023-01-11T21:01:51.8625894Z         out_ptr3[i0] = tmp2;
2023-01-11T21:01:51.8625968Z         out_ptr4[i0] = tmp3;
2023-01-11T21:01:51.8626028Z     }
2023-01-11T21:01:51.8626087Z }
2023-01-11T21:01:51.8626165Z ''')
2023-01-11T21:01:51.8626170Z 
2023-01-11T21:01:51.8626174Z 
2023-01-11T21:01:51.8626261Z async_compile.wait(globals())
2023-01-11T21:01:51.8626320Z del async_compile
2023-01-11T21:01:51.8626325Z 
2023-01-11T21:01:51.8626393Z def call(args):
2023-01-11T21:01:51.8626467Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8626536Z     args.clear()
2023-01-11T21:01:51.8626731Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8626956Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8627142Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8627344Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8627532Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8627789Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8627857Z     del arg0_1
2023-01-11T21:01:51.8627925Z     del arg1_1
2023-01-11T21:01:51.8628022Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8628028Z 
2023-01-11T21:01:51.8628032Z 
2023-01-11T21:01:51.8628108Z if __name__ == "__main__":
2023-01-11T21:01:51.8628221Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8628332Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8628518Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8628710Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8628822Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8628828Z 
2023-01-11T21:01:51.8628832Z 
2023-01-11T21:01:51.8628924Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8628995Z import torch
2023-01-11T21:01:51.8629064Z import random
2023-01-11T21:01:51.8629178Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8629285Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8629302Z 
2023-01-11T21:01:51.8629366Z aten = torch.ops.aten
2023-01-11T21:01:51.8629498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8629587Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8629592Z 
2023-01-11T21:01:51.8629598Z 
2023-01-11T21:01:51.8629729Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8629931Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8630053Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8630157Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8630243Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8630337Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8630428Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8630522Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8630611Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8630671Z {
2023-01-11T21:01:51.8630746Z     #pragma GCC ivdep
2023-01-11T21:01:51.8630813Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:51.8630874Z     {
2023-01-11T21:01:51.8630935Z         {
2023-01-11T21:01:51.8630997Z             {
2023-01-11T21:01:51.8631087Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8631170Z                 auto tmp2 = in_ptr1[0];
2023-01-11T21:01:51.8631273Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8631363Z                 auto tmp3 = static_cast<float>(tmp2);
2023-01-11T21:01:51.8631449Z                 auto tmp4 = tmp1 / tmp3;
2023-01-11T21:01:51.8631698Z                 auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2023-01-11T21:01:51.8631783Z                 auto tmp6 = tmp0 / tmp2;
2023-01-11T21:01:51.8631862Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.8631938Z                 out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.8632014Z                 out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.8632077Z                 out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.8632152Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:51.8632214Z             }
2023-01-11T21:01:51.8632278Z         }
2023-01-11T21:01:51.8632371Z     }
2023-01-11T21:01:51.8632430Z }
2023-01-11T21:01:51.8632508Z ''')
2023-01-11T21:01:51.8632513Z 
2023-01-11T21:01:51.8632517Z 
2023-01-11T21:01:51.8632592Z async_compile.wait(globals())
2023-01-11T21:01:51.8632663Z del async_compile
2023-01-11T21:01:51.8632694Z 
2023-01-11T21:01:51.8632764Z def call(args):
2023-01-11T21:01:51.8632839Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8633005Z     args.clear()
2023-01-11T21:01:51.8633207Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8633395Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8633581Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8633756Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8633939Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8634198Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8634271Z     del arg0_1
2023-01-11T21:01:51.8634337Z     del arg1_1
2023-01-11T21:01:51.8634435Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8634441Z 
2023-01-11T21:01:51.8634445Z 
2023-01-11T21:01:51.8634521Z if __name__ == "__main__":
2023-01-11T21:01:51.8634636Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8634745Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8634935Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8635114Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8635228Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8635234Z 
2023-01-11T21:01:51.8635238Z 
2023-01-11T21:01:51.8635330Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8635404Z import torch
2023-01-11T21:01:51.8635472Z import random
2023-01-11T21:01:51.8635586Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8635692Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8635697Z 
2023-01-11T21:01:51.8635776Z aten = torch.ops.aten
2023-01-11T21:01:51.8635908Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8635997Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8636002Z 
2023-01-11T21:01:51.8636006Z 
2023-01-11T21:01:51.8636136Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8636338Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8636456Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8636559Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8636643Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8636738Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:51.8636833Z                        long* __restrict__ out_ptr2,
2023-01-11T21:01:51.8636928Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8637022Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:51.8637083Z {
2023-01-11T21:01:51.8637158Z     #pragma GCC ivdep
2023-01-11T21:01:51.8637225Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:51.8637285Z     {
2023-01-11T21:01:51.8637347Z         {
2023-01-11T21:01:51.8637409Z             {
2023-01-11T21:01:51.8637493Z                 auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.8637580Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.8637683Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8637770Z                 auto tmp3 = static_cast<float>(tmp2);
2023-01-11T21:01:51.8637857Z                 auto tmp4 = tmp1 / tmp3;
2023-01-11T21:01:51.8638104Z                 auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2023-01-11T21:01:51.8638227Z                 auto tmp6 = tmp0 / tmp2;
2023-01-11T21:01:51.8638308Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.8638387Z                 out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.8638495Z                 out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.8638561Z                 out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.8638637Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:51.8638699Z             }
2023-01-11T21:01:51.8638761Z         }
2023-01-11T21:01:51.8638820Z     }
2023-01-11T21:01:51.8638880Z }
2023-01-11T21:01:51.8638961Z ''')
2023-01-11T21:01:51.8638966Z 
2023-01-11T21:01:51.8638970Z 
2023-01-11T21:01:51.8639044Z async_compile.wait(globals())
2023-01-11T21:01:51.8639115Z del async_compile
2023-01-11T21:01:51.8639120Z 
2023-01-11T21:01:51.8639190Z def call(args):
2023-01-11T21:01:51.8639264Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8639333Z     args.clear()
2023-01-11T21:01:51.8639526Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8639717Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8639891Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8640080Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8640261Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8640517Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8640587Z     del arg0_1
2023-01-11T21:01:51.8640653Z     del arg1_1
2023-01-11T21:01:51.8640748Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8640754Z 
2023-01-11T21:01:51.8640758Z 
2023-01-11T21:01:51.8640838Z if __name__ == "__main__":
2023-01-11T21:01:51.8640950Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8641061Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8641242Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8641433Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8641544Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8641813Z [2023-01-11 20:54:06,109] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166
2023-01-11T21:01:51.8641818Z 
2023-01-11T21:01:51.8641886Z ok (6.348s)
2023-01-11T21:01:51.8642208Z   test_dropout_cpu (__main__.CpuTests) ... [2023-01-11 20:54:06,180] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167
2023-01-11T21:01:51.8642463Z [2023-01-11 20:54:06,181] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.8642714Z [2023-01-11 20:54:07,689] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167
2023-01-11T21:01:51.8642969Z [2023-01-11 20:54:07,756] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168
2023-01-11T21:01:51.8643222Z [2023-01-11 20:54:07,756] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.8643664Z [2023-01-11 20:54:07,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168
2023-01-11T21:01:51.8643671Z 
2023-01-11T21:01:51.8643769Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8643840Z import torch
2023-01-11T21:01:51.8643911Z import random
2023-01-11T21:01:51.8644027Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8644135Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8644154Z 
2023-01-11T21:01:51.8644218Z aten = torch.ops.aten
2023-01-11T21:01:51.8644349Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8644499Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8644661Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.8644667Z 
2023-01-11T21:01:51.8644671Z 
2023-01-11T21:01:51.8644864Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8645071Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8645187Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:51.8645293Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8645380Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8645440Z {
2023-01-11T21:01:51.8645517Z     #pragma GCC ivdep
2023-01-11T21:01:51.8645599Z     for(long i0=0; i0<1000; i0+=1)
2023-01-11T21:01:51.8645662Z     {
2023-01-11T21:01:51.8645725Z         {
2023-01-11T21:01:51.8645775Z             {
2023-01-11T21:01:51.8645859Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.8645947Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.8646048Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.8646185Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.8646292Z                 auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:51.8646379Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.8646470Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.8646558Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.8646660Z                 auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.8646748Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.8646831Z                 out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.8646893Z             }
2023-01-11T21:01:51.8646955Z         }
2023-01-11T21:01:51.8647003Z     }
2023-01-11T21:01:51.8647062Z }
2023-01-11T21:01:51.8647142Z ''')
2023-01-11T21:01:51.8647148Z 
2023-01-11T21:01:51.8647153Z 
2023-01-11T21:01:51.8647241Z async_compile.wait(globals())
2023-01-11T21:01:51.8647316Z del async_compile
2023-01-11T21:01:51.8647321Z 
2023-01-11T21:01:51.8647389Z def call(args):
2023-01-11T21:01:51.8647459Z     arg0_1, = args
2023-01-11T21:01:51.8647531Z     args.clear()
2023-01-11T21:01:51.8647652Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.8647848Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8648018Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8648086Z     del arg0_1
2023-01-11T21:01:51.8648157Z     return (buf0, )
2023-01-11T21:01:51.8648163Z 
2023-01-11T21:01:51.8648167Z 
2023-01-11T21:01:51.8648242Z if __name__ == "__main__":
2023-01-11T21:01:51.8648356Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8648465Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8648658Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8648859Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8648965Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8648970Z 
2023-01-11T21:01:51.8648977Z 
2023-01-11T21:01:51.8649070Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8649141Z import torch
2023-01-11T21:01:51.8649211Z import random
2023-01-11T21:01:51.8649324Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8649431Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8649448Z 
2023-01-11T21:01:51.8649513Z aten = torch.ops.aten
2023-01-11T21:01:51.8649644Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8649735Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8649895Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.8649900Z 
2023-01-11T21:01:51.8649904Z 
2023-01-11T21:01:51.8650072Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8650273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8650389Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:51.8650522Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8650610Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8650670Z {
2023-01-11T21:01:51.8650748Z     #pragma GCC ivdep
2023-01-11T21:01:51.8650829Z     for(long i0=0; i0<1000; i0+=1)
2023-01-11T21:01:51.8650891Z     {
2023-01-11T21:01:51.8650955Z         {
2023-01-11T21:01:51.8651004Z             {
2023-01-11T21:01:51.8651087Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.8651180Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.8651278Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.8651417Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.8651519Z                 auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:51.8651605Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.8651696Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.8651785Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.8651885Z                 auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.8651971Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.8652052Z                 out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.8652116Z             }
2023-01-11T21:01:51.8652181Z         }
2023-01-11T21:01:51.8652229Z     }
2023-01-11T21:01:51.8652293Z }
2023-01-11T21:01:51.8652372Z ''')
2023-01-11T21:01:51.8652377Z 
2023-01-11T21:01:51.8652381Z 
2023-01-11T21:01:51.8652470Z async_compile.wait(globals())
2023-01-11T21:01:51.8652541Z del async_compile
2023-01-11T21:01:51.8652546Z 
2023-01-11T21:01:51.8652615Z def call(args):
2023-01-11T21:01:51.8652683Z     arg0_1, = args
2023-01-11T21:01:51.8652740Z     args.clear()
2023-01-11T21:01:51.8652876Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.8653073Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8653247Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8653316Z     del arg0_1
2023-01-11T21:01:51.8653386Z     return (buf0, )
2023-01-11T21:01:51.8653391Z 
2023-01-11T21:01:51.8653396Z 
2023-01-11T21:01:51.8653470Z if __name__ == "__main__":
2023-01-11T21:01:51.8653583Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8653692Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8653884Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8654080Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8654187Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8654195Z 
2023-01-11T21:01:51.8654267Z ok (1.654s)
2023-01-11T21:01:51.8654613Z   test_dropout_deterministic_cpu (__main__.CpuTests) ... [2023-01-11 20:54:07,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169
2023-01-11T21:01:51.8654870Z [2023-01-11 20:54:07,832] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.8655132Z [2023-01-11 20:54:09,334] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169
2023-01-11T21:01:51.8655383Z [2023-01-11 20:54:09,400] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170
2023-01-11T21:01:51.8655624Z [2023-01-11 20:54:09,401] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.8655885Z [2023-01-11 20:54:09,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170
2023-01-11T21:01:51.8655891Z 
2023-01-11T21:01:51.8656019Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8656089Z import torch
2023-01-11T21:01:51.8656158Z import random
2023-01-11T21:01:51.8656271Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8656418Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8656425Z 
2023-01-11T21:01:51.8656504Z aten = torch.ops.aten
2023-01-11T21:01:51.8656624Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8656717Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8656878Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.8656883Z 
2023-01-11T21:01:51.8656887Z 
2023-01-11T21:01:51.8657021Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8657223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8657391Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:51.8657494Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8657594Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8657641Z {
2023-01-11T21:01:51.8657717Z     #pragma GCC ivdep
2023-01-11T21:01:51.8657797Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.8657860Z     {
2023-01-11T21:01:51.8657923Z         {
2023-01-11T21:01:51.8657991Z             {
2023-01-11T21:01:51.8658074Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.8658148Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.8658246Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.8658386Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.8658489Z                 auto tmp3 = static_cast<float>(0.55);
2023-01-11T21:01:51.8658574Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.8658678Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.8658765Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.8658863Z                 auto tmp8 = static_cast<float>(2.2222222222222223);
2023-01-11T21:01:51.8658949Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.8659031Z                 out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.8659095Z             }
2023-01-11T21:01:51.8659161Z         }
2023-01-11T21:01:51.8659222Z     }
2023-01-11T21:01:51.8659282Z }
2023-01-11T21:01:51.8659347Z ''')
2023-01-11T21:01:51.8659352Z 
2023-01-11T21:01:51.8659356Z 
2023-01-11T21:01:51.8659442Z async_compile.wait(globals())
2023-01-11T21:01:51.8659514Z del async_compile
2023-01-11T21:01:51.8659519Z 
2023-01-11T21:01:51.8659588Z def call(args):
2023-01-11T21:01:51.8659654Z     arg0_1, = args
2023-01-11T21:01:51.8659724Z     args.clear()
2023-01-11T21:01:51.8659855Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.8660039Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8660210Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8660281Z     del arg0_1
2023-01-11T21:01:51.8660351Z     return (buf0, )
2023-01-11T21:01:51.8660356Z 
2023-01-11T21:01:51.8660360Z 
2023-01-11T21:01:51.8660434Z if __name__ == "__main__":
2023-01-11T21:01:51.8660547Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8660669Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8660860Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8661044Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8661150Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8661155Z 
2023-01-11T21:01:51.8661159Z 
2023-01-11T21:01:51.8661251Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8661323Z import torch
2023-01-11T21:01:51.8661391Z import random
2023-01-11T21:01:51.8661505Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8661654Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8661659Z 
2023-01-11T21:01:51.8661735Z aten = torch.ops.aten
2023-01-11T21:01:51.8661855Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8661971Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8662196Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.8662202Z 
2023-01-11T21:01:51.8662206Z 
2023-01-11T21:01:51.8662338Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8662542Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8662658Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:51.8662761Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8662860Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8662908Z {
2023-01-11T21:01:51.8662983Z     #pragma GCC ivdep
2023-01-11T21:01:51.8663066Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.8663127Z     {
2023-01-11T21:01:51.8663194Z         {
2023-01-11T21:01:51.8663256Z             {
2023-01-11T21:01:51.8663338Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.8663414Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.8663512Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.8663647Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.8663753Z                 auto tmp3 = static_cast<float>(0.55);
2023-01-11T21:01:51.8663839Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.8663942Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.8664027Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.8664124Z                 auto tmp8 = static_cast<float>(2.2222222222222223);
2023-01-11T21:01:51.8664210Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.8664292Z                 out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.8664357Z             }
2023-01-11T21:01:51.8664419Z         }
2023-01-11T21:01:51.8664479Z     }
2023-01-11T21:01:51.8664542Z }
2023-01-11T21:01:51.8664607Z ''')
2023-01-11T21:01:51.8664612Z 
2023-01-11T21:01:51.8664635Z 
2023-01-11T21:01:51.8664724Z async_compile.wait(globals())
2023-01-11T21:01:51.8664797Z del async_compile
2023-01-11T21:01:51.8664802Z 
2023-01-11T21:01:51.8664871Z def call(args):
2023-01-11T21:01:51.8664939Z     arg0_1, = args
2023-01-11T21:01:51.8665013Z     args.clear()
2023-01-11T21:01:51.8665143Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.8665329Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8665499Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8665566Z     del arg0_1
2023-01-11T21:01:51.8665646Z     return (buf0, )
2023-01-11T21:01:51.8665651Z 
2023-01-11T21:01:51.8665655Z 
2023-01-11T21:01:51.8665732Z if __name__ == "__main__":
2023-01-11T21:01:51.8665844Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8665964Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8666158Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8666344Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8666450Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8666455Z 
2023-01-11T21:01:51.8666520Z ok (1.645s)
2023-01-11T21:01:51.8666861Z   test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2023-01-11 20:54:09,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171
2023-01-11T21:01:51.8667126Z [2023-01-11 20:54:10,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171
2023-01-11T21:01:51.8667131Z 
2023-01-11T21:01:51.8667224Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8667324Z import torch
2023-01-11T21:01:51.8667395Z import random
2023-01-11T21:01:51.8667497Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8667617Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8667622Z 
2023-01-11T21:01:51.8667726Z aten = torch.ops.aten
2023-01-11T21:01:51.8667860Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8667951Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8667957Z 
2023-01-11T21:01:51.8667961Z 
2023-01-11T21:01:51.8668091Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8668293Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8668409Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.8668502Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8668602Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8668696Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8668758Z {
2023-01-11T21:01:51.8668843Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:51.8668917Z     #pragma GCC ivdep
2023-01-11T21:01:51.8668997Z     for(long i0=0; i0<4096; i0+=1)
2023-01-11T21:01:51.8669048Z     {
2023-01-11T21:01:51.8669111Z         {
2023-01-11T21:01:51.8669174Z             {
2023-01-11T21:01:51.8669416Z                 float tmp5 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.8669506Z                 for(long i1=0; i1<64; i1+=1)
2023-01-11T21:01:51.8669571Z                 {
2023-01-11T21:01:51.8669640Z                     {
2023-01-11T21:01:51.8669731Z                         auto tmp0 = static_cast<long>(i1);
2023-01-11T21:01:51.8669835Z                         auto tmp1 = static_cast<long>(63);
2023-01-11T21:01:51.8669928Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.8670011Z                         float tmp3 = 0.0;
2023-01-11T21:01:51.8670085Z                         if(tmp2)
2023-01-11T21:01:51.8670154Z                         {
2023-01-11T21:01:51.8670258Z                             auto tmp4 = in_ptr0[i1 + (63*i0)];
2023-01-11T21:01:51.8670327Z                             tmp3 = tmp4;
2023-01-11T21:01:51.8670394Z                         }
2023-01-11T21:01:51.8670496Z                         tmp5 = std::max(tmp5, tmp3);
2023-01-11T21:01:51.8670561Z                     }
2023-01-11T21:01:51.8670624Z                 }
2023-01-11T21:01:51.8670705Z                 out_ptr0[i0] = tmp5;
2023-01-11T21:01:51.8670767Z             }
2023-01-11T21:01:51.8670816Z         }
2023-01-11T21:01:51.8670878Z     }
2023-01-11T21:01:51.8670952Z     #pragma GCC ivdep
2023-01-11T21:01:51.8671033Z     for(long i0=0; i0<4096; i0+=1)
2023-01-11T21:01:51.8671094Z     {
2023-01-11T21:01:51.8671157Z         {
2023-01-11T21:01:51.8671220Z             {
2023-01-11T21:01:51.8671283Z                 float tmp8 = 0;
2023-01-11T21:01:51.8671373Z                 for(long i1=0; i1<64; i1+=1)
2023-01-11T21:01:51.8671438Z                 {
2023-01-11T21:01:51.8671505Z                     {
2023-01-11T21:01:51.8671598Z                         auto tmp5 = out_ptr0[i0];
2023-01-11T21:01:51.8671704Z                         auto tmp0 = static_cast<long>(i1);
2023-01-11T21:01:51.8671811Z                         auto tmp1 = static_cast<long>(63);
2023-01-11T21:01:51.8671890Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:51.8671972Z                         float tmp3 = 0.0;
2023-01-11T21:01:51.8672047Z                         if(tmp2)
2023-01-11T21:01:51.8672115Z                         {
2023-01-11T21:01:51.8672217Z                             auto tmp4 = in_ptr0[i1 + (63*i0)];
2023-01-11T21:01:51.8672301Z                             tmp3 = tmp4;
2023-01-11T21:01:51.8672368Z                         }
2023-01-11T21:01:51.8672495Z                         auto tmp6 = tmp3 - tmp5;
2023-01-11T21:01:51.8672597Z                         auto tmp7 = std::exp(tmp6);
2023-01-11T21:01:51.8672736Z                         out_ptr1[i1 + (64*i0)] = tmp7;
2023-01-11T21:01:51.8672849Z                         tmp8 += tmp7;
2023-01-11T21:01:51.8672983Z                     }
2023-01-11T21:01:51.8673053Z                 }
2023-01-11T21:01:51.8673134Z                 out_ptr2[i0] = tmp8;
2023-01-11T21:01:51.8673215Z             }
2023-01-11T21:01:51.8673283Z         }
2023-01-11T21:01:51.8673344Z     }
2023-01-11T21:01:51.8673419Z     #pragma GCC ivdep
2023-01-11T21:01:51.8673500Z     for(long i0=0; i0<4096; i0+=1)
2023-01-11T21:01:51.8673562Z     {
2023-01-11T21:01:51.8673629Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.8673695Z         {
2023-01-11T21:01:51.8673842Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (64*i0));
2023-01-11T21:01:51.8673967Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2023-01-11T21:01:51.8674052Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8674155Z             tmp2.store(in_out_ptr0 + (8*i1) + (64*i0));
2023-01-11T21:01:51.8674219Z         }
2023-01-11T21:01:51.8674311Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8674380Z         for(long i1=64; i1<64; i1+=1)
2023-01-11T21:01:51.8674439Z         {
2023-01-11T21:01:51.8674534Z             auto tmp0 = out_ptr1[i1 + (64*i0)];
2023-01-11T21:01:51.8674620Z             auto tmp1 = out_ptr2[i0];
2023-01-11T21:01:51.8674703Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.8674794Z             in_out_ptr0[i1 + (64*i0)] = tmp2;
2023-01-11T21:01:51.8674842Z         }
2023-01-11T21:01:51.8674902Z     }
2023-01-11T21:01:51.8674963Z }
2023-01-11T21:01:51.8675048Z ''')
2023-01-11T21:01:51.8675054Z 
2023-01-11T21:01:51.8675058Z 
2023-01-11T21:01:51.8675146Z async_compile.wait(globals())
2023-01-11T21:01:51.8675219Z del async_compile
2023-01-11T21:01:51.8675224Z 
2023-01-11T21:01:51.8675294Z def call(args):
2023-01-11T21:01:51.8675363Z     arg0_1, = args
2023-01-11T21:01:51.8675422Z     args.clear()
2023-01-11T21:01:51.8675634Z     buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8675846Z     buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8676055Z     buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8676141Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:51.8676330Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8676397Z     del arg0_1
2023-01-11T21:01:51.8676455Z     return (buf3, )
2023-01-11T21:01:51.8676473Z 
2023-01-11T21:01:51.8676478Z 
2023-01-11T21:01:51.8676539Z if __name__ == "__main__":
2023-01-11T21:01:51.8676651Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8676772Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8676983Z     arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8677089Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8677096Z 
2023-01-11T21:01:51.8677162Z ok (1.587s)
2023-01-11T21:01:51.8677597Z   test_elu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8677725Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8677984Z [2023-01-11 20:54:11,047] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172
2023-01-11T21:01:51.8678233Z [2023-01-11 20:54:12,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172
2023-01-11T21:01:51.8678238Z 
2023-01-11T21:01:51.8678332Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8678402Z import torch
2023-01-11T21:01:51.8678512Z import random
2023-01-11T21:01:51.8678626Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8678746Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8678751Z 
2023-01-11T21:01:51.8678855Z aten = torch.ops.aten
2023-01-11T21:01:51.8678976Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8679067Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8679072Z 
2023-01-11T21:01:51.8679076Z 
2023-01-11T21:01:51.8679212Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8679415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8679532Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8679632Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8679729Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8679789Z {
2023-01-11T21:01:51.8679851Z     #pragma GCC ivdep
2023-01-11T21:01:51.8679935Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.8679997Z     {
2023-01-11T21:01:51.8680061Z         {
2023-01-11T21:01:51.8680123Z             {
2023-01-11T21:01:51.8680212Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8680313Z                 auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:51.8680387Z                 auto tmp2 = tmp0 > tmp1;
2023-01-11T21:01:51.8680499Z                 auto tmp3 = static_cast<float>(1.0507009873554805);
2023-01-11T21:01:51.8680584Z                 auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8680688Z                 auto tmp5 = static_cast<float>(1.0);
2023-01-11T21:01:51.8680776Z                 auto tmp6 = tmp0 * tmp5;
2023-01-11T21:01:51.8680877Z                 auto tmp7 = std::expm1(tmp6);
2023-01-11T21:01:51.8680989Z                 auto tmp8 = static_cast<float>(1.7580993408473766);
2023-01-11T21:01:51.8681062Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.8681158Z                 auto tmp10 = tmp2 ? tmp4 : tmp9;
2023-01-11T21:01:51.8681260Z                 auto tmp11 = static_cast<float>(2);
2023-01-11T21:01:51.8681351Z                 auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.8681452Z                 auto tmp13 = static_cast<float>(1);
2023-01-11T21:01:51.8681542Z                 auto tmp14 = tmp0 + tmp13;
2023-01-11T21:01:51.8681670Z                 auto tmp15 = tmp14 > tmp1;
2023-01-11T21:01:51.8681755Z                 auto tmp16 = static_cast<float>(3);
2023-01-11T21:01:51.8681842Z                 auto tmp17 = tmp14 * tmp16;
2023-01-11T21:01:51.8681938Z                 auto tmp18 = static_cast<float>(4);
2023-01-11T21:01:51.8682028Z                 auto tmp19 = tmp14 * tmp18;
2023-01-11T21:01:51.8682125Z                 auto tmp20 = std::expm1(tmp19);
2023-01-11T21:01:51.8682224Z                 auto tmp21 = static_cast<float>(6);
2023-01-11T21:01:51.8682313Z                 auto tmp22 = tmp20 * tmp21;
2023-01-11T21:01:51.8682408Z                 auto tmp23 = tmp15 ? tmp17 : tmp22;
2023-01-11T21:01:51.8682479Z                 out_ptr0[i0] = tmp12;
2023-01-11T21:01:51.8682560Z                 out_ptr1[i0] = tmp23;
2023-01-11T21:01:51.8682624Z             }
2023-01-11T21:01:51.8682686Z         }
2023-01-11T21:01:51.8682747Z     }
2023-01-11T21:01:51.8682807Z }
2023-01-11T21:01:51.8682874Z ''')
2023-01-11T21:01:51.8682892Z 
2023-01-11T21:01:51.8682896Z 
2023-01-11T21:01:51.8682971Z async_compile.wait(globals())
2023-01-11T21:01:51.8683043Z del async_compile
2023-01-11T21:01:51.8683048Z 
2023-01-11T21:01:51.8683116Z def call(args):
2023-01-11T21:01:51.8683183Z     arg0_1, = args
2023-01-11T21:01:51.8683254Z     args.clear()
2023-01-11T21:01:51.8683676Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8683897Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8684047Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8684115Z     del arg0_1
2023-01-11T21:01:51.8684256Z     return (buf0, buf1, )
2023-01-11T21:01:51.8684261Z 
2023-01-11T21:01:51.8684266Z 
2023-01-11T21:01:51.8684343Z if __name__ == "__main__":
2023-01-11T21:01:51.8684456Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8684627Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8684830Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8684977Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8684982Z 
2023-01-11T21:01:51.8685035Z ok (1.566s)
2023-01-11T21:01:51.8685479Z   test_embedding_bag_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8685607Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8685866Z [2023-01-11 20:54:12,594] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173
2023-01-11T21:01:51.8686096Z [2023-01-11 20:54:12,608] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2023-01-11T21:01:51.8686364Z [2023-01-11 20:54:12,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173
2023-01-11T21:01:51.8686369Z 
2023-01-11T21:01:51.8686464Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8686534Z import torch
2023-01-11T21:01:51.8686607Z import random
2023-01-11T21:01:51.8686708Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8686829Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8686835Z 
2023-01-11T21:01:51.8686913Z aten = torch.ops.aten
2023-01-11T21:01:51.8687046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8687137Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8687144Z 
2023-01-11T21:01:51.8687149Z 
2023-01-11T21:01:51.8687237Z async_compile.wait(globals())
2023-01-11T21:01:51.8687309Z del async_compile
2023-01-11T21:01:51.8687314Z 
2023-01-11T21:01:51.8687384Z def call(args):
2023-01-11T21:01:51.8687454Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8687528Z     args.clear()
2023-01-11T21:01:51.8687635Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2023-01-11T21:01:51.8687705Z     del arg0_1
2023-01-11T21:01:51.8687771Z     del arg1_1
2023-01-11T21:01:51.8687835Z     del arg2_1
2023-01-11T21:01:51.8687903Z     buf1 = buf0[0]
2023-01-11T21:01:51.8687986Z     assert_size_stride(buf1, (3, 4), (4, 1))
2023-01-11T21:01:51.8688053Z     buf2 = buf0[1]
2023-01-11T21:01:51.8688146Z     assert_size_stride(buf2, (0, ), (1, ))
2023-01-11T21:01:51.8688213Z     buf3 = buf0[2]
2023-01-11T21:01:51.8688305Z     assert_size_stride(buf3, (3, ), (1, ))
2023-01-11T21:01:51.8688370Z     buf4 = buf0[3]
2023-01-11T21:01:51.8688464Z     assert_size_stride(buf4, (3, ), (1, ))
2023-01-11T21:01:51.8688516Z     del buf0
2023-01-11T21:01:51.8688603Z     return (buf1, buf2, buf3, buf4, )
2023-01-11T21:01:51.8688608Z 
2023-01-11T21:01:51.8688612Z 
2023-01-11T21:01:51.8688688Z if __name__ == "__main__":
2023-01-11T21:01:51.8688800Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8688922Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8689120Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8689309Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8689494Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8689603Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8689608Z 
2023-01-11T21:01:51.8689674Z ok (0.046s)
2023-01-11T21:01:51.8690144Z   test_embedding_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8690298Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8690556Z [2023-01-11 20:54:12,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174
2023-01-11T21:01:51.8690818Z [2023-01-11 20:54:14,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174
2023-01-11T21:01:51.8690824Z 
2023-01-11T21:01:51.8690917Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8690987Z import torch
2023-01-11T21:01:51.8691056Z import random
2023-01-11T21:01:51.8691159Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8691278Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8691285Z 
2023-01-11T21:01:51.8691363Z aten = torch.ops.aten
2023-01-11T21:01:51.8691496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8691588Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8691592Z 
2023-01-11T21:01:51.8691598Z 
2023-01-11T21:01:51.8691730Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8691935Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8692052Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8692143Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8692241Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8692337Z                        bool* __restrict__ out_ptr1,
2023-01-11T21:01:51.8692430Z                        long* __restrict__ out_ptr2)
2023-01-11T21:01:51.8692490Z {
2023-01-11T21:01:51.8692565Z     #pragma GCC ivdep
2023-01-11T21:01:51.8692645Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.8692695Z     {
2023-01-11T21:01:51.8692771Z         #pragma GCC ivdep
2023-01-11T21:01:51.8692852Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.8692914Z         {
2023-01-11T21:01:51.8692977Z             {
2023-01-11T21:01:51.8693083Z                 {
2023-01-11T21:01:51.8693163Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8693261Z                     auto tmp1 = in_ptr1[i1 + (4*tmp0)];
2023-01-11T21:01:51.8693354Z                     auto tmp2 = tmp1 * (tmp1>0);
2023-01-11T21:01:51.8693443Z                     out_ptr0[i1 + (4*i0)] = tmp2;
2023-01-11T21:01:51.8693508Z                 }
2023-01-11T21:01:51.8693572Z             }
2023-01-11T21:01:51.8693635Z         }
2023-01-11T21:01:51.8693683Z     }
2023-01-11T21:01:51.8693756Z     #pragma GCC ivdep
2023-01-11T21:01:51.8693835Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8693897Z     {
2023-01-11T21:01:51.8693958Z         {
2023-01-11T21:01:51.8694020Z             {
2023-01-11T21:01:51.8694111Z                 auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.8694196Z                 auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:51.8694283Z                 auto tmp2 = tmp0 <= tmp1;
2023-01-11T21:01:51.8694364Z                 out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.8694429Z             }
2023-01-11T21:01:51.8694493Z         }
2023-01-11T21:01:51.8694552Z     }
2023-01-11T21:01:51.8694625Z     #pragma GCC ivdep
2023-01-11T21:01:51.8694690Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.8694750Z     {
2023-01-11T21:01:51.8694816Z         {
2023-01-11T21:01:51.8694879Z             {
2023-01-11T21:01:51.8694963Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8695067Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8695155Z                 auto tmp2 = static_cast<long>(tmp1);
2023-01-11T21:01:51.8695236Z                 out_ptr2[i0] = tmp2;
2023-01-11T21:01:51.8695296Z             }
2023-01-11T21:01:51.8695356Z         }
2023-01-11T21:01:51.8695484Z     }
2023-01-11T21:01:51.8695542Z }
2023-01-11T21:01:51.8695620Z ''')
2023-01-11T21:01:51.8695625Z 
2023-01-11T21:01:51.8695630Z 
2023-01-11T21:01:51.8695705Z async_compile.wait(globals())
2023-01-11T21:01:51.8695780Z del async_compile
2023-01-11T21:01:51.8695785Z 
2023-01-11T21:01:51.8695880Z def call(args):
2023-01-11T21:01:51.8695968Z     primals_1, primals_2 = args
2023-01-11T21:01:51.8696038Z     args.clear()
2023-01-11T21:01:51.8696244Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8696439Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.8696628Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8696837Z     kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8696909Z     del primals_1
2023-01-11T21:01:51.8696979Z     del primals_2
2023-01-11T21:01:51.8697062Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8697067Z 
2023-01-11T21:01:51.8697072Z 
2023-01-11T21:01:51.8697146Z if __name__ == "__main__":
2023-01-11T21:01:51.8697259Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8697383Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8697586Z     primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8697770Z     primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8697894Z     print_performance(lambda: call([primals_1, primals_2]))
2023-01-11T21:01:51.8697900Z 
2023-01-11T21:01:51.8697965Z ok (1.636s)
2023-01-11T21:01:51.8698398Z   test_exp_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8698527Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8698788Z [2023-01-11 20:54:14,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175
2023-01-11T21:01:51.8699049Z [2023-01-11 20:54:15,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175
2023-01-11T21:01:51.8699055Z 
2023-01-11T21:01:51.8699149Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8699218Z import torch
2023-01-11T21:01:51.8699274Z import random
2023-01-11T21:01:51.8699387Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8699507Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8699512Z 
2023-01-11T21:01:51.8699591Z aten = torch.ops.aten
2023-01-11T21:01:51.8699722Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8699812Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8699818Z 
2023-01-11T21:01:51.8699823Z 
2023-01-11T21:01:51.8699957Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8700162Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8700267Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8700370Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8700469Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8700567Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8700626Z {
2023-01-11T21:01:51.8700704Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8700765Z     {
2023-01-11T21:01:51.8700888Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8701016Z         auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8701098Z         auto tmp1 = tmp0.exp();
2023-01-11T21:01:51.8701214Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.8701293Z         auto tmp4 = tmp3.exp();
2023-01-11T21:01:51.8701380Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8701465Z         tmp4.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8701512Z     }
2023-01-11T21:01:51.8701624Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8701705Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.8701764Z     {
2023-01-11T21:01:51.8701845Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8701922Z         auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.8702010Z         auto tmp1 = std::exp(tmp0);
2023-01-11T21:01:51.8702077Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.8702162Z         auto tmp4 = std::exp(tmp3);
2023-01-11T21:01:51.8702237Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8702311Z         out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.8702371Z     }
2023-01-11T21:01:51.8702431Z }
2023-01-11T21:01:51.8702510Z ''')
2023-01-11T21:01:51.8702515Z 
2023-01-11T21:01:51.8702522Z 
2023-01-11T21:01:51.8702596Z async_compile.wait(globals())
2023-01-11T21:01:51.8702668Z del async_compile
2023-01-11T21:01:51.8702673Z 
2023-01-11T21:01:51.8702741Z def call(args):
2023-01-11T21:01:51.8702818Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8702891Z     args.clear()
2023-01-11T21:01:51.8703087Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8703279Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8703469Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8703524Z     del arg0_1
2023-01-11T21:01:51.8703589Z     del arg1_1
2023-01-11T21:01:51.8703665Z     return (buf0, buf1, )
2023-01-11T21:01:51.8703670Z 
2023-01-11T21:01:51.8703674Z 
2023-01-11T21:01:51.8703749Z if __name__ == "__main__":
2023-01-11T21:01:51.8703861Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8703982Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8704178Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8704368Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8704472Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8704477Z 
2023-01-11T21:01:51.8704543Z ok (1.539s)
2023-01-11T21:01:51.8704979Z   test_expand_as_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8705106Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8705364Z [2023-01-11 20:54:15,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176
2023-01-11T21:01:51.8705629Z [2023-01-11 20:54:17,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176
2023-01-11T21:01:51.8705635Z 
2023-01-11T21:01:51.8705728Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8705799Z import torch
2023-01-11T21:01:51.8705869Z import random
2023-01-11T21:01:51.8705971Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8706091Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8706096Z 
2023-01-11T21:01:51.8706173Z aten = torch.ops.aten
2023-01-11T21:01:51.8706306Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8706397Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8706402Z 
2023-01-11T21:01:51.8706407Z 
2023-01-11T21:01:51.8706537Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8706740Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8706886Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8706971Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8707029Z {
2023-01-11T21:01:51.8707105Z     #pragma GCC ivdep
2023-01-11T21:01:51.8707216Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:51.8707278Z     {
2023-01-11T21:01:51.8707357Z         #pragma GCC ivdep
2023-01-11T21:01:51.8707440Z         for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:51.8707490Z         {
2023-01-11T21:01:51.8707575Z             for(long i2=0; i2<12; i2+=1)
2023-01-11T21:01:51.8707636Z             {
2023-01-11T21:01:51.8707777Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2023-01-11T21:01:51.8707912Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8707999Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8708085Z                 auto tmp3 = tmp2 + tmp1;
2023-01-11T21:01:51.8708183Z                 tmp3.store(out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2023-01-11T21:01:51.8708248Z             }
2023-01-11T21:01:51.8708339Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8708425Z             for(long i2=96; i2<100; i2+=1)
2023-01-11T21:01:51.8708488Z             {
2023-01-11T21:01:51.8708585Z                 auto tmp0 = in_ptr0[i2 + (100*i0)];
2023-01-11T21:01:51.8708686Z                 auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8708759Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8708844Z                 auto tmp3 = tmp2 + tmp1;
2023-01-11T21:01:51.8708944Z                 out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3;
2023-01-11T21:01:51.8709008Z             }
2023-01-11T21:01:51.8709069Z         }
2023-01-11T21:01:51.8709129Z     }
2023-01-11T21:01:51.8709189Z }
2023-01-11T21:01:51.8709255Z ''')
2023-01-11T21:01:51.8709260Z 
2023-01-11T21:01:51.8709264Z 
2023-01-11T21:01:51.8709352Z async_compile.wait(globals())
2023-01-11T21:01:51.8709423Z del async_compile
2023-01-11T21:01:51.8709430Z 
2023-01-11T21:01:51.8709498Z def call(args):
2023-01-11T21:01:51.8709572Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8709642Z     args.clear()
2023-01-11T21:01:51.8709860Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8709978Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8710088Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2023-01-11T21:01:51.8710093Z 
2023-01-11T21:01:51.8710097Z 
2023-01-11T21:01:51.8710172Z if __name__ == "__main__":
2023-01-11T21:01:51.8710284Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8710404Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8710614Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8710825Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8710940Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8710945Z 
2023-01-11T21:01:51.8711012Z ok (1.577s)
2023-01-11T21:01:51.8711433Z   test_expand_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8711561Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8711818Z [2023-01-11 20:54:17,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177
2023-01-11T21:01:51.8712079Z [2023-01-11 20:54:18,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177
2023-01-11T21:01:51.8712084Z 
2023-01-11T21:01:51.8712177Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8712277Z import torch
2023-01-11T21:01:51.8712347Z import random
2023-01-11T21:01:51.8712463Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8712582Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8712588Z 
2023-01-11T21:01:51.8712714Z aten = torch.ops.aten
2023-01-11T21:01:51.8712850Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8713021Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8713028Z 
2023-01-11T21:01:51.8713032Z 
2023-01-11T21:01:51.8713173Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8713379Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8713497Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8713597Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8713694Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8713741Z {
2023-01-11T21:01:51.8713820Z     #pragma GCC ivdep
2023-01-11T21:01:51.8713902Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8713962Z     {
2023-01-11T21:01:51.8714041Z         #pragma GCC ivdep
2023-01-11T21:01:51.8714122Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.8714173Z         {
2023-01-11T21:01:51.8714251Z             #pragma GCC ivdep
2023-01-11T21:01:51.8714334Z             for(long i2=0; i2<3; i2+=1)
2023-01-11T21:01:51.8714397Z             {
2023-01-11T21:01:51.8714477Z                 #pragma GCC ivdep
2023-01-11T21:01:51.8714566Z                 for(long i3=0; i3<2; i3+=1)
2023-01-11T21:01:51.8714630Z                 {
2023-01-11T21:01:51.8714683Z                     {
2023-01-11T21:01:51.8714750Z                         {
2023-01-11T21:01:51.8714855Z                             auto tmp0 = in_ptr0[i3 + (2*i1)];
2023-01-11T21:01:51.8714962Z                             auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8715057Z                             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8715165Z                             auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.8715259Z                             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.8715353Z                             out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4;
2023-01-11T21:01:51.8715423Z                         }
2023-01-11T21:01:51.8715489Z                     }
2023-01-11T21:01:51.8715552Z                 }
2023-01-11T21:01:51.8715613Z             }
2023-01-11T21:01:51.8715672Z         }
2023-01-11T21:01:51.8715732Z     }
2023-01-11T21:01:51.8715793Z     #pragma GCC ivdep
2023-01-11T21:01:51.8715872Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.8715933Z     {
2023-01-11T21:01:51.8716008Z         #pragma GCC ivdep
2023-01-11T21:01:51.8716087Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.8716146Z         {
2023-01-11T21:01:51.8716226Z             #pragma GCC ivdep
2023-01-11T21:01:51.8716293Z             for(long i2=0; i2<3; i2+=1)
2023-01-11T21:01:51.8716355Z             {
2023-01-11T21:01:51.8716437Z                 #pragma GCC ivdep
2023-01-11T21:01:51.8716525Z                 for(long i3=0; i3<2; i3+=1)
2023-01-11T21:01:51.8716590Z                 {
2023-01-11T21:01:51.8716656Z                     {
2023-01-11T21:01:51.8716710Z                         {
2023-01-11T21:01:51.8716814Z                             auto tmp0 = in_ptr0[i3 + (2*i1)];
2023-01-11T21:01:51.8716919Z                             auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.8717015Z                             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8717123Z                             out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2;
2023-01-11T21:01:51.8717189Z                         }
2023-01-11T21:01:51.8717258Z                     }
2023-01-11T21:01:51.8717321Z                 }
2023-01-11T21:01:51.8717371Z             }
2023-01-11T21:01:51.8717431Z         }
2023-01-11T21:01:51.8717491Z     }
2023-01-11T21:01:51.8717551Z }
2023-01-11T21:01:51.8717629Z ''')
2023-01-11T21:01:51.8717634Z 
2023-01-11T21:01:51.8717684Z 
2023-01-11T21:01:51.8717772Z async_compile.wait(globals())
2023-01-11T21:01:51.8717843Z del async_compile
2023-01-11T21:01:51.8717848Z 
2023-01-11T21:01:51.8717904Z def call(args):
2023-01-11T21:01:51.8717973Z     arg0_1, = args
2023-01-11T21:01:51.8718069Z     args.clear()
2023-01-11T21:01:51.8718294Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8718509Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 12, 6, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8718670Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8718786Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2023-01-11T21:01:51.8718792Z 
2023-01-11T21:01:51.8718796Z 
2023-01-11T21:01:51.8718870Z if __name__ == "__main__":
2023-01-11T21:01:51.8718969Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8719098Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8719302Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8719409Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8719414Z 
2023-01-11T21:01:51.8719481Z ok (1.569s)
2023-01-11T21:01:51.8720147Z   test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:01:51.8720573Z   test_expm1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8720702Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8720962Z [2023-01-11 20:54:18,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178
2023-01-11T21:01:51.8721227Z [2023-01-11 20:54:20,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178
2023-01-11T21:01:51.8721625Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8721738Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8721992Z [2023-01-11 20:54:20,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179
2023-01-11T21:01:51.8722257Z [2023-01-11 20:54:22,008] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179
2023-01-11T21:01:51.8722655Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8722781Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8723032Z [2023-01-11 20:54:22,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180
2023-01-11T21:01:51.8723293Z [2023-01-11 20:54:23,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180
2023-01-11T21:01:51.8723924Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8724156Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8724416Z [2023-01-11 20:54:23,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181
2023-01-11T21:01:51.8724679Z [2023-01-11 20:54:25,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181
2023-01-11T21:01:51.8725062Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8725188Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8725443Z [2023-01-11 20:54:25,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182
2023-01-11T21:01:51.8725449Z 
2023-01-11T21:01:51.8725542Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8725615Z import torch
2023-01-11T21:01:51.8725685Z import random
2023-01-11T21:01:51.8725800Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8725921Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8725927Z 
2023-01-11T21:01:51.8726007Z aten = torch.ops.aten
2023-01-11T21:01:51.8726128Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8726219Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8726225Z 
2023-01-11T21:01:51.8726229Z 
2023-01-11T21:01:51.8726363Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8726569Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8726689Z extern "C" void kernel(const half* __restrict__ in_ptr0,
2023-01-11T21:01:51.8726788Z                        half* __restrict__ out_ptr0,
2023-01-11T21:01:51.8726885Z                        half* __restrict__ out_ptr1)
2023-01-11T21:01:51.8726944Z {
2023-01-11T21:01:51.8727009Z     #pragma GCC ivdep
2023-01-11T21:01:51.8727089Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8727152Z     {
2023-01-11T21:01:51.8727214Z         {
2023-01-11T21:01:51.8727277Z             {
2023-01-11T21:01:51.8727392Z                 auto tmp0 = static_cast<float>(in_ptr0[i0]);
2023-01-11T21:01:51.8727480Z                 auto tmp1 = std::expm1(tmp0);
2023-01-11T21:01:51.8727578Z                 auto tmp2 = static_cast<half>(2);
2023-01-11T21:01:51.8727667Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8727748Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8727825Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8727889Z             }
2023-01-11T21:01:51.8727951Z         }
2023-01-11T21:01:51.8728001Z     }
2023-01-11T21:01:51.8728060Z }
2023-01-11T21:01:51.8728137Z ''')
2023-01-11T21:01:51.8728142Z 
2023-01-11T21:01:51.8728146Z 
2023-01-11T21:01:51.8728235Z async_compile.wait(globals())
2023-01-11T21:01:51.8728310Z del async_compile
2023-01-11T21:01:51.8728315Z 
2023-01-11T21:01:51.8728387Z def call(args):
2023-01-11T21:01:51.8728454Z     arg0_1, = args
2023-01-11T21:01:51.8728511Z     args.clear()
2023-01-11T21:01:51.8728703Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.8728891Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.8729053Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8729122Z     del arg0_1
2023-01-11T21:01:51.8729198Z     return (buf0, buf1, )
2023-01-11T21:01:51.8729203Z 
2023-01-11T21:01:51.8729208Z 
2023-01-11T21:01:51.8729283Z if __name__ == "__main__":
2023-01-11T21:01:51.8729395Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8729541Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8729736Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.8729871Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8729877Z 
2023-01-11T21:01:51.8729882Z 
2023-01-11T21:01:51.8729974Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8730043Z import torch
2023-01-11T21:01:51.8730113Z import random
2023-01-11T21:01:51.8730227Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8730346Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8730351Z 
2023-01-11T21:01:51.8730414Z aten = torch.ops.aten
2023-01-11T21:01:51.8730545Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8730634Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8730639Z 
2023-01-11T21:01:51.8730644Z 
2023-01-11T21:01:51.8730776Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8730981Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8731098Z extern "C" void kernel(const half* __restrict__ in_ptr0,
2023-01-11T21:01:51.8731196Z                        half* __restrict__ out_ptr0,
2023-01-11T21:01:51.8731290Z                        half* __restrict__ out_ptr1)
2023-01-11T21:01:51.8731337Z {
2023-01-11T21:01:51.8731412Z     #pragma GCC ivdep
2023-01-11T21:01:51.8731492Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.8731554Z     {
2023-01-11T21:01:51.8731615Z         {
2023-01-11T21:01:51.8731678Z             {
2023-01-11T21:01:51.8731791Z                 auto tmp0 = static_cast<float>(in_ptr0[i0]);
2023-01-11T21:01:51.8731876Z                 auto tmp1 = std::expm1(tmp0);
2023-01-11T21:01:51.8731974Z                 auto tmp2 = static_cast<half>(2);
2023-01-11T21:01:51.8732060Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8732141Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8732224Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8732285Z             }
2023-01-11T21:01:51.8732346Z         }
2023-01-11T21:01:51.8732393Z     }
2023-01-11T21:01:51.8732450Z }
2023-01-11T21:01:51.8732527Z ''')
2023-01-11T21:01:51.8732533Z 
2023-01-11T21:01:51.8732539Z 
2023-01-11T21:01:51.8732626Z async_compile.wait(globals())
2023-01-11T21:01:51.8732700Z del async_compile
2023-01-11T21:01:51.8732705Z 
2023-01-11T21:01:51.8732773Z def call(args):
2023-01-11T21:01:51.8732840Z     arg0_1, = args
2023-01-11T21:01:51.8732898Z     args.clear()
2023-01-11T21:01:51.8733091Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.8733283Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.8733445Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8733512Z     del arg0_1
2023-01-11T21:01:51.8733588Z     return (buf0, buf1, )
2023-01-11T21:01:51.8733596Z 
2023-01-11T21:01:51.8733600Z 
2023-01-11T21:01:51.8733675Z if __name__ == "__main__":
2023-01-11T21:01:51.8733789Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8733898Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8734095Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.8734201Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8734206Z 
2023-01-11T21:01:51.8734210Z 
2023-01-11T21:01:51.8734302Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8734370Z import torch
2023-01-11T21:01:51.8734438Z import random
2023-01-11T21:01:51.8734550Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8734655Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8734673Z 
2023-01-11T21:01:51.8734736Z aten = torch.ops.aten
2023-01-11T21:01:51.8734872Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8734962Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8734996Z 
2023-01-11T21:01:51.8735000Z 
2023-01-11T21:01:51.8735131Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8735333Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8735479Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8735580Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8735675Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8735723Z {
2023-01-11T21:01:51.8735802Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8735862Z     {
2023-01-11T21:01:51.8735993Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8736078Z         auto tmp1 = tmp0.expm1();
2023-01-11T21:01:51.8736206Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8736287Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8736361Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8736448Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8736508Z     }
2023-01-11T21:01:51.8736595Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8736676Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.8736738Z     {
2023-01-11T21:01:51.8736805Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8736893Z         auto tmp1 = std::expm1(tmp0);
2023-01-11T21:01:51.8736989Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:51.8737069Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8737178Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8737253Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8737314Z     }
2023-01-11T21:01:51.8737361Z }
2023-01-11T21:01:51.8737439Z ''')
2023-01-11T21:01:51.8737445Z 
2023-01-11T21:01:51.8737449Z 
2023-01-11T21:01:51.8737534Z async_compile.wait(globals())
2023-01-11T21:01:51.8737606Z del async_compile
2023-01-11T21:01:51.8737611Z 
2023-01-11T21:01:51.8737680Z def call(args):
2023-01-11T21:01:51.8737749Z     arg0_1, = args
2023-01-11T21:01:51.8737820Z     args.clear()
2023-01-11T21:01:51.8738012Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8738193Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8738353Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8738422Z     del arg0_1
2023-01-11T21:01:51.8738497Z     return (buf0, buf1, )
2023-01-11T21:01:51.8738502Z 
2023-01-11T21:01:51.8738506Z 
2023-01-11T21:01:51.8738582Z if __name__ == "__main__":
2023-01-11T21:01:51.8738694Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8738814Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8739010Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8739104Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8739109Z 
2023-01-11T21:01:51.8739116Z 
2023-01-11T21:01:51.8739207Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8739276Z import torch
2023-01-11T21:01:51.8739346Z import random
2023-01-11T21:01:51.8739458Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8739579Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8739584Z 
2023-01-11T21:01:51.8739660Z aten = torch.ops.aten
2023-01-11T21:01:51.8739778Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8739873Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8739878Z 
2023-01-11T21:01:51.8739882Z 
2023-01-11T21:01:51.8740012Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8740215Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8740332Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8740431Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8740526Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8740617Z {
2023-01-11T21:01:51.8740683Z     for(long i0=0; i0<25; i0+=1)
2023-01-11T21:01:51.8740744Z     {
2023-01-11T21:01:51.8740874Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8740987Z         auto tmp1 = tmp0.expm1();
2023-01-11T21:01:51.8741116Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8741195Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8741280Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8741352Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8741412Z     }
2023-01-11T21:01:51.8741500Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8741581Z     for(long i0=200; i0<201; i0+=1)
2023-01-11T21:01:51.8741642Z     {
2023-01-11T21:01:51.8741721Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8741808Z         auto tmp1 = std::expm1(tmp0);
2023-01-11T21:01:51.8741890Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:51.8741970Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8742045Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8742121Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8742180Z     }
2023-01-11T21:01:51.8742240Z }
2023-01-11T21:01:51.8742317Z ''')
2023-01-11T21:01:51.8742324Z 
2023-01-11T21:01:51.8742328Z 
2023-01-11T21:01:51.8742403Z async_compile.wait(globals())
2023-01-11T21:01:51.8742476Z del async_compile
2023-01-11T21:01:51.8742481Z 
2023-01-11T21:01:51.8742550Z def call(args):
2023-01-11T21:01:51.8742619Z     arg0_1, = args
2023-01-11T21:01:51.8742689Z     args.clear()
2023-01-11T21:01:51.8742884Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8743077Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8743236Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8743290Z     del arg0_1
2023-01-11T21:01:51.8743366Z     return (buf0, buf1, )
2023-01-11T21:01:51.8743373Z 
2023-01-11T21:01:51.8743377Z 
2023-01-11T21:01:51.8743452Z if __name__ == "__main__":
2023-01-11T21:01:51.8743566Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8743691Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8743886Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8743992Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8743998Z 
2023-01-11T21:01:51.8744002Z 
2023-01-11T21:01:51.8744093Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8744149Z import torch
2023-01-11T21:01:51.8744218Z import random
2023-01-11T21:01:51.8744330Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8744450Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8744455Z 
2023-01-11T21:01:51.8744533Z aten = torch.ops.aten
2023-01-11T21:01:51.8744665Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8744756Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8744761Z 
2023-01-11T21:01:51.8744765Z 
2023-01-11T21:01:51.8744900Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8745092Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8745213Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:51.8745315Z                        double* __restrict__ out_ptr0,
2023-01-11T21:01:51.8745414Z                        double* __restrict__ out_ptr1)
2023-01-11T21:01:51.8745474Z {
2023-01-11T21:01:51.8745549Z     #pragma GCC ivdep
2023-01-11T21:01:51.8745628Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8745675Z     {
2023-01-11T21:01:51.8745737Z         {
2023-01-11T21:01:51.8745800Z             {
2023-01-11T21:01:51.8745888Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8745984Z                 auto tmp1 = std::expm1(tmp0);
2023-01-11T21:01:51.8746086Z                 auto tmp2 = static_cast<double>(2);
2023-01-11T21:01:51.8746204Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8746273Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8746350Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8746413Z             }
2023-01-11T21:01:51.8746509Z         }
2023-01-11T21:01:51.8746572Z     }
2023-01-11T21:01:51.8746630Z }
2023-01-11T21:01:51.8746694Z ''')
2023-01-11T21:01:51.8746711Z 
2023-01-11T21:01:51.8746715Z 
2023-01-11T21:01:51.8746789Z async_compile.wait(globals())
2023-01-11T21:01:51.8746861Z del async_compile
2023-01-11T21:01:51.8746866Z 
2023-01-11T21:01:51.8746935Z def call(args):
2023-01-11T21:01:51.8747002Z     arg0_1, = args
2023-01-11T21:01:51.8747072Z     args.clear()
2023-01-11T21:01:51.8747267Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.8747458Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.8747605Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8747674Z     del arg0_1
2023-01-11T21:01:51.8747750Z     return (buf0, buf1, )
2023-01-11T21:01:51.8747756Z 
2023-01-11T21:01:51.8747760Z 
2023-01-11T21:01:51.8747836Z if __name__ == "__main__":
2023-01-11T21:01:51.8747950Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8748070Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8748260Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.8748367Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8748624Z [2023-01-11 20:54:26,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182
2023-01-11T21:01:51.8749024Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8749154Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8749412Z [2023-01-11 20:54:26,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183
2023-01-11T21:01:51.8749672Z [2023-01-11 20:54:28,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183
2023-01-11T21:01:51.8750069Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8750194Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8750446Z [2023-01-11 20:54:28,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184
2023-01-11T21:01:51.8750711Z [2023-01-11 20:54:29,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184
2023-01-11T21:01:51.8751111Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8751235Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8751475Z [2023-01-11 20:54:29,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185
2023-01-11T21:01:51.8751736Z [2023-01-11 20:54:31,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185
2023-01-11T21:01:51.8752129Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8752311Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8752569Z [2023-01-11 20:54:31,208] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186
2023-01-11T21:01:51.8752833Z [2023-01-11 20:54:32,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186
2023-01-11T21:01:51.8753304Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8753432Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8753689Z [2023-01-11 20:54:32,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187
2023-01-11T21:01:51.8753695Z 
2023-01-11T21:01:51.8753699Z 
2023-01-11T21:01:51.8753794Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8753865Z import torch
2023-01-11T21:01:51.8753922Z import random
2023-01-11T21:01:51.8754038Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8754160Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8754166Z 
2023-01-11T21:01:51.8754245Z aten = torch.ops.aten
2023-01-11T21:01:51.8754380Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8754471Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8754476Z 
2023-01-11T21:01:51.8754481Z 
2023-01-11T21:01:51.8754614Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8754820Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8754929Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:51.8755031Z                        double* __restrict__ out_ptr0,
2023-01-11T21:01:51.8755131Z                        double* __restrict__ out_ptr1)
2023-01-11T21:01:51.8755190Z {
2023-01-11T21:01:51.8755268Z     #pragma GCC ivdep
2023-01-11T21:01:51.8755350Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.8755411Z     {
2023-01-11T21:01:51.8755461Z         {
2023-01-11T21:01:51.8755523Z             {
2023-01-11T21:01:51.8755610Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8755709Z                 auto tmp1 = std::expm1(tmp0);
2023-01-11T21:01:51.8755808Z                 auto tmp2 = static_cast<double>(2);
2023-01-11T21:01:51.8755895Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.8755978Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.8756045Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.8756106Z             }
2023-01-11T21:01:51.8756172Z         }
2023-01-11T21:01:51.8756234Z     }
2023-01-11T21:01:51.8756293Z }
2023-01-11T21:01:51.8756372Z ''')
2023-01-11T21:01:51.8756377Z 
2023-01-11T21:01:51.8756381Z 
2023-01-11T21:01:51.8756469Z async_compile.wait(globals())
2023-01-11T21:01:51.8756530Z del async_compile
2023-01-11T21:01:51.8756536Z 
2023-01-11T21:01:51.8756605Z def call(args):
2023-01-11T21:01:51.8756673Z     arg0_1, = args
2023-01-11T21:01:51.8756742Z     args.clear()
2023-01-11T21:01:51.8756938Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.8757130Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.8757292Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8757359Z     del arg0_1
2023-01-11T21:01:51.8757423Z     return (buf0, buf1, )
2023-01-11T21:01:51.8757429Z 
2023-01-11T21:01:51.8757433Z 
2023-01-11T21:01:51.8757508Z if __name__ == "__main__":
2023-01-11T21:01:51.8757654Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8757776Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8757970Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.8758108Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8758114Z 
2023-01-11T21:01:51.8758118Z 
2023-01-11T21:01:51.8758211Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8758278Z import torch
2023-01-11T21:01:51.8758334Z import random
2023-01-11T21:01:51.8758446Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8758563Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8758568Z 
2023-01-11T21:01:51.8758645Z aten = torch.ops.aten
2023-01-11T21:01:51.8758778Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8758867Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8758872Z 
2023-01-11T21:01:51.8758876Z 
2023-01-11T21:01:51.8759010Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8759213Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8759315Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:51.8759418Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8759513Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8759574Z {
2023-01-11T21:01:51.8759651Z     #pragma GCC ivdep
2023-01-11T21:01:51.8759731Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8759792Z     {
2023-01-11T21:01:51.8759842Z         {
2023-01-11T21:01:51.8759904Z             {
2023-01-11T21:01:51.8759991Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8760094Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8760190Z                 auto tmp2 = std::expm1(tmp1);
2023-01-11T21:01:51.8760290Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.8760382Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.8760451Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8760529Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.8760593Z             }
2023-01-11T21:01:51.8760656Z         }
2023-01-11T21:01:51.8760718Z     }
2023-01-11T21:01:51.8760777Z }
2023-01-11T21:01:51.8760842Z ''')
2023-01-11T21:01:51.8760847Z 
2023-01-11T21:01:51.8760864Z 
2023-01-11T21:01:51.8760939Z async_compile.wait(globals())
2023-01-11T21:01:51.8761011Z del async_compile
2023-01-11T21:01:51.8761016Z 
2023-01-11T21:01:51.8761087Z def call(args):
2023-01-11T21:01:51.8761154Z     arg0_1, = args
2023-01-11T21:01:51.8761222Z     args.clear()
2023-01-11T21:01:51.8761413Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8761602Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8761753Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8761823Z     del arg0_1
2023-01-11T21:01:51.8761899Z     return (buf0, buf1, )
2023-01-11T21:01:51.8761905Z 
2023-01-11T21:01:51.8761909Z 
2023-01-11T21:01:51.8761983Z if __name__ == "__main__":
2023-01-11T21:01:51.8762097Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8762216Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8762404Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.8762510Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8762515Z 
2023-01-11T21:01:51.8762519Z 
2023-01-11T21:01:51.8762597Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8762665Z import torch
2023-01-11T21:01:51.8762737Z import random
2023-01-11T21:01:51.8762848Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8762965Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8762970Z 
2023-01-11T21:01:51.8763047Z aten = torch.ops.aten
2023-01-11T21:01:51.8763207Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8763285Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8763303Z 
2023-01-11T21:01:51.8763307Z 
2023-01-11T21:01:51.8763600Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8763915Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8764034Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:51.8764133Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8764229Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8764289Z {
2023-01-11T21:01:51.8764364Z     #pragma GCC ivdep
2023-01-11T21:01:51.8764432Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.8764495Z     {
2023-01-11T21:01:51.8764557Z         {
2023-01-11T21:01:51.8764619Z             {
2023-01-11T21:01:51.8764706Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8764811Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8764914Z                 auto tmp2 = std::expm1(tmp1);
2023-01-11T21:01:51.8764999Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.8765086Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.8765169Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8765247Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.8765309Z             }
2023-01-11T21:01:51.8765372Z         }
2023-01-11T21:01:51.8765432Z     }
2023-01-11T21:01:51.8765479Z }
2023-01-11T21:01:51.8765561Z ''')
2023-01-11T21:01:51.8765567Z 
2023-01-11T21:01:51.8765572Z 
2023-01-11T21:01:51.8765660Z async_compile.wait(globals())
2023-01-11T21:01:51.8765732Z del async_compile
2023-01-11T21:01:51.8765736Z 
2023-01-11T21:01:51.8765805Z def call(args):
2023-01-11T21:01:51.8765873Z     arg0_1, = args
2023-01-11T21:01:51.8765944Z     args.clear()
2023-01-11T21:01:51.8766126Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8766319Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8766479Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8766547Z     del arg0_1
2023-01-11T21:01:51.8766625Z     return (buf0, buf1, )
2023-01-11T21:01:51.8766630Z 
2023-01-11T21:01:51.8766634Z 
2023-01-11T21:01:51.8766709Z if __name__ == "__main__":
2023-01-11T21:01:51.8766820Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8766943Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8767123Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.8767227Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8767233Z 
2023-01-11T21:01:51.8767237Z 
2023-01-11T21:01:51.8767329Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8767398Z import torch
2023-01-11T21:01:51.8767466Z import random
2023-01-11T21:01:51.8767577Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8767696Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8767701Z 
2023-01-11T21:01:51.8767778Z aten = torch.ops.aten
2023-01-11T21:01:51.8767897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8767987Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8767993Z 
2023-01-11T21:01:51.8767997Z 
2023-01-11T21:01:51.8768129Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8768329Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8768446Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8768544Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8768644Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8768705Z {
2023-01-11T21:01:51.8768768Z     #pragma GCC ivdep
2023-01-11T21:01:51.8768848Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8768951Z     {
2023-01-11T21:01:51.8769013Z         {
2023-01-11T21:01:51.8769078Z             {
2023-01-11T21:01:51.8769165Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8769258Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8769385Z                 auto tmp2 = std::expm1(tmp1);
2023-01-11T21:01:51.8769485Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.8769571Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.8769654Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8769735Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.8769799Z             }
2023-01-11T21:01:51.8769848Z         }
2023-01-11T21:01:51.8769908Z     }
2023-01-11T21:01:51.8769967Z }
2023-01-11T21:01:51.8770045Z ''')
2023-01-11T21:01:51.8770050Z 
2023-01-11T21:01:51.8770054Z 
2023-01-11T21:01:51.8770142Z async_compile.wait(globals())
2023-01-11T21:01:51.8770215Z del async_compile
2023-01-11T21:01:51.8770221Z 
2023-01-11T21:01:51.8770290Z def call(args):
2023-01-11T21:01:51.8770363Z     arg0_1, = args
2023-01-11T21:01:51.8770419Z     args.clear()
2023-01-11T21:01:51.8770612Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8770803Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8770962Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8771032Z     del arg0_1
2023-01-11T21:01:51.8771108Z     return (buf0, buf1, )
2023-01-11T21:01:51.8771113Z 
2023-01-11T21:01:51.8771118Z 
2023-01-11T21:01:51.8771193Z if __name__ == "__main__":
2023-01-11T21:01:51.8771291Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8771412Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8771603Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8771709Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8771717Z 
2023-01-11T21:01:51.8771721Z 
2023-01-11T21:01:51.8771811Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8771881Z import torch
2023-01-11T21:01:51.8771949Z import random
2023-01-11T21:01:51.8772059Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8772166Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8772171Z 
2023-01-11T21:01:51.8772248Z aten = torch.ops.aten
2023-01-11T21:01:51.8772379Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8772468Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8772473Z 
2023-01-11T21:01:51.8772478Z 
2023-01-11T21:01:51.8772609Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8772808Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8772925Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8773025Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8773109Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8773170Z {
2023-01-11T21:01:51.8773246Z     #pragma GCC ivdep
2023-01-11T21:01:51.8773327Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.8773388Z     {
2023-01-11T21:01:51.8773455Z         {
2023-01-11T21:01:51.8773518Z             {
2023-01-11T21:01:51.8773593Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8773696Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.8773792Z                 auto tmp2 = std::expm1(tmp1);
2023-01-11T21:01:51.8773891Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.8773978Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.8774059Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8774137Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.8774186Z             }
2023-01-11T21:01:51.8774246Z         }
2023-01-11T21:01:51.8774307Z     }
2023-01-11T21:01:51.8774367Z }
2023-01-11T21:01:51.8774443Z ''')
2023-01-11T21:01:51.8774481Z 
2023-01-11T21:01:51.8774486Z 
2023-01-11T21:01:51.8774573Z async_compile.wait(globals())
2023-01-11T21:01:51.8774647Z del async_compile
2023-01-11T21:01:51.8774651Z 
2023-01-11T21:01:51.8774708Z def call(args):
2023-01-11T21:01:51.8774802Z     arg0_1, = args
2023-01-11T21:01:51.8774874Z     args.clear()
2023-01-11T21:01:51.8775069Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8775262Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8775421Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8775489Z     del arg0_1
2023-01-11T21:01:51.8775552Z     return (buf0, buf1, )
2023-01-11T21:01:51.8775570Z 
2023-01-11T21:01:51.8775575Z 
2023-01-11T21:01:51.8775637Z if __name__ == "__main__":
2023-01-11T21:01:51.8775747Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8775869Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8776062Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8776168Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8776438Z [2023-01-11 20:54:34,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187
2023-01-11T21:01:51.8776444Z 
2023-01-11T21:01:51.8776511Z ok (15.291s)
2023-01-11T21:01:51.8776943Z   test_fill1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8777074Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8777318Z [2023-01-11 20:54:34,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188
2023-01-11T21:01:51.8777584Z [2023-01-11 20:54:35,769] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188
2023-01-11T21:01:51.8777589Z 
2023-01-11T21:01:51.8777683Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8777756Z import torch
2023-01-11T21:01:51.8777827Z import random
2023-01-11T21:01:51.8777940Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8778058Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8778063Z 
2023-01-11T21:01:51.8778138Z aten = torch.ops.aten
2023-01-11T21:01:51.8778257Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8778347Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8778352Z 
2023-01-11T21:01:51.8778356Z 
2023-01-11T21:01:51.8778488Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8778690Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8778806Z extern "C" void kernel(float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8778902Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8778961Z {
2023-01-11T21:01:51.8779028Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8779086Z     {
2023-01-11T21:01:51.8779221Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8779310Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8779370Z     }
2023-01-11T21:01:51.8779454Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8779533Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.8779580Z     {
2023-01-11T21:01:51.8779675Z         auto tmp0 = static_cast<float>(1);
2023-01-11T21:01:51.8779751Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.8779810Z     }
2023-01-11T21:01:51.8779887Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8779946Z     {
2023-01-11T21:01:51.8780075Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8780149Z         tmp0.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8780242Z     }
2023-01-11T21:01:51.8780327Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8780405Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.8780465Z     {
2023-01-11T21:01:51.8780619Z         auto tmp0 = static_cast<float>(2);
2023-01-11T21:01:51.8780696Z         out_ptr1[i0] = tmp0;
2023-01-11T21:01:51.8780743Z     }
2023-01-11T21:01:51.8780802Z }
2023-01-11T21:01:51.8780878Z ''')
2023-01-11T21:01:51.8780883Z 
2023-01-11T21:01:51.8780888Z 
2023-01-11T21:01:51.8780975Z async_compile.wait(globals())
2023-01-11T21:01:51.8781047Z del async_compile
2023-01-11T21:01:51.8781052Z 
2023-01-11T21:01:51.8781122Z def call(args):
2023-01-11T21:01:51.8781191Z     arg0_1, = args
2023-01-11T21:01:51.8781248Z     args.clear()
2023-01-11T21:01:51.8781451Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8781655Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8781791Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8781868Z     return (buf0, buf1, )
2023-01-11T21:01:51.8781873Z 
2023-01-11T21:01:51.8781877Z 
2023-01-11T21:01:51.8781953Z if __name__ == "__main__":
2023-01-11T21:01:51.8782066Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8782195Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8782379Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8782485Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8782490Z 
2023-01-11T21:01:51.8782556Z ok (1.547s)
2023-01-11T21:01:51.8782989Z   test_fill2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8783117Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8783377Z [2023-01-11 20:54:35,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189
2023-01-11T21:01:51.8783641Z [2023-01-11 20:54:37,327] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189
2023-01-11T21:01:51.8783647Z 
2023-01-11T21:01:51.8783739Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8783812Z import torch
2023-01-11T21:01:51.8783869Z import random
2023-01-11T21:01:51.8783981Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8784100Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8784105Z 
2023-01-11T21:01:51.8784183Z aten = torch.ops.aten
2023-01-11T21:01:51.8784314Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8784405Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8784412Z 
2023-01-11T21:01:51.8784416Z 
2023-01-11T21:01:51.8784548Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8784750Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8784852Z extern "C" void kernel(float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8784970Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8785030Z {
2023-01-11T21:01:51.8785111Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8785171Z     {
2023-01-11T21:01:51.8785303Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8785392Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8785439Z     }
2023-01-11T21:01:51.8785524Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8785605Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.8785663Z     {
2023-01-11T21:01:51.8785757Z         auto tmp0 = static_cast<float>(1);
2023-01-11T21:01:51.8785835Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.8785925Z     }
2023-01-11T21:01:51.8785990Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8786050Z     {
2023-01-11T21:01:51.8786182Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2023-01-11T21:01:51.8786297Z         tmp0.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8786359Z     }
2023-01-11T21:01:51.8786446Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8786525Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.8786573Z     {
2023-01-11T21:01:51.8786669Z         auto tmp0 = static_cast<float>(3.0);
2023-01-11T21:01:51.8786745Z         out_ptr1[i0] = tmp0;
2023-01-11T21:01:51.8786804Z     }
2023-01-11T21:01:51.8786864Z }
2023-01-11T21:01:51.8786941Z ''')
2023-01-11T21:01:51.8786946Z 
2023-01-11T21:01:51.8786951Z 
2023-01-11T21:01:51.8787039Z async_compile.wait(globals())
2023-01-11T21:01:51.8787099Z del async_compile
2023-01-11T21:01:51.8787104Z 
2023-01-11T21:01:51.8787171Z def call(args):
2023-01-11T21:01:51.8787239Z     arg0_1, = args
2023-01-11T21:01:51.8787311Z     args.clear()
2023-01-11T21:01:51.8787510Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8787708Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8787844Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8787907Z     return (buf0, buf1, )
2023-01-11T21:01:51.8787925Z 
2023-01-11T21:01:51.8787929Z 
2023-01-11T21:01:51.8787990Z if __name__ == "__main__":
2023-01-11T21:01:51.8788101Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8788222Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8788419Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8788525Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8788530Z 
2023-01-11T21:01:51.8788597Z ok (1.558s)
2023-01-11T21:01:51.8789032Z   test_flip_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8789160Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8789418Z [2023-01-11 20:54:37,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190
2023-01-11T21:01:51.8789668Z [2023-01-11 20:54:38,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190
2023-01-11T21:01:51.8789674Z 
2023-01-11T21:01:51.8789767Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8789836Z import torch
2023-01-11T21:01:51.8789907Z import random
2023-01-11T21:01:51.8790020Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8790140Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8790147Z 
2023-01-11T21:01:51.8790224Z aten = torch.ops.aten
2023-01-11T21:01:51.8790355Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8790433Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8790438Z 
2023-01-11T21:01:51.8790444Z 
2023-01-11T21:01:51.8790576Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8790778Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8790895Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8790993Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8791089Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8791149Z {
2023-01-11T21:01:51.8791211Z     #pragma GCC ivdep
2023-01-11T21:01:51.8791291Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:51.8791350Z     {
2023-01-11T21:01:51.8791426Z         #pragma GCC ivdep
2023-01-11T21:01:51.8791505Z         for(long i1=0; i1<6; i1+=1)
2023-01-11T21:01:51.8791595Z         {
2023-01-11T21:01:51.8791658Z             {
2023-01-11T21:01:51.8791709Z                 {
2023-01-11T21:01:51.8791872Z                     auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)];
2023-01-11T21:01:51.8791991Z                     out_ptr0[i1 + (6*i0)] = tmp0;
2023-01-11T21:01:51.8792056Z                 }
2023-01-11T21:01:51.8792119Z             }
2023-01-11T21:01:51.8792179Z         }
2023-01-11T21:01:51.8792239Z     }
2023-01-11T21:01:51.8792300Z     #pragma GCC ivdep
2023-01-11T21:01:51.8792378Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.8792438Z     {
2023-01-11T21:01:51.8792514Z         #pragma GCC ivdep
2023-01-11T21:01:51.8792593Z         for(long i1=0; i1<6; i1+=1)
2023-01-11T21:01:51.8792658Z         {
2023-01-11T21:01:51.8792723Z             #pragma GCC ivdep
2023-01-11T21:01:51.8792802Z             for(long i2=0; i2<6; i2+=1)
2023-01-11T21:01:51.8792933Z             {
2023-01-11T21:01:51.8793002Z                 {
2023-01-11T21:01:51.8793070Z                     {
2023-01-11T21:01:51.8793253Z                         auto tmp0 = in_ptr0[30 + i2 + ((-6)*i1) + (36*i0)];
2023-01-11T21:01:51.8793361Z                         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.8793490Z                         auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.8793590Z                         out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2;
2023-01-11T21:01:51.8793657Z                     }
2023-01-11T21:01:51.8793721Z                 }
2023-01-11T21:01:51.8793784Z             }
2023-01-11T21:01:51.8793846Z         }
2023-01-11T21:01:51.8793905Z     }
2023-01-11T21:01:51.8793951Z }
2023-01-11T21:01:51.8794030Z ''')
2023-01-11T21:01:51.8794035Z 
2023-01-11T21:01:51.8794039Z 
2023-01-11T21:01:51.8794127Z async_compile.wait(globals())
2023-01-11T21:01:51.8794199Z del async_compile
2023-01-11T21:01:51.8794204Z 
2023-01-11T21:01:51.8794274Z def call(args):
2023-01-11T21:01:51.8794344Z     arg0_1, = args
2023-01-11T21:01:51.8794414Z     args.clear()
2023-01-11T21:01:51.8794612Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8794821Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8794985Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8795053Z     del arg0_1
2023-01-11T21:01:51.8795129Z     return (buf0, buf1, )
2023-01-11T21:01:51.8795135Z 
2023-01-11T21:01:51.8795139Z 
2023-01-11T21:01:51.8795213Z if __name__ == "__main__":
2023-01-11T21:01:51.8795325Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8795444Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8795642Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8795749Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8795754Z 
2023-01-11T21:01:51.8795820Z ok (1.574s)
2023-01-11T21:01:51.8796258Z   test_fmod_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8796384Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8796641Z [2023-01-11 20:54:38,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191
2023-01-11T21:01:51.8796903Z [2023-01-11 20:54:40,454] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191
2023-01-11T21:01:51.8796908Z 
2023-01-11T21:01:51.8797000Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8797068Z import torch
2023-01-11T21:01:51.8797124Z import random
2023-01-11T21:01:51.8797239Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8797392Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8797397Z 
2023-01-11T21:01:51.8797474Z aten = torch.ops.aten
2023-01-11T21:01:51.8797605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8797724Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8797730Z 
2023-01-11T21:01:51.8797734Z 
2023-01-11T21:01:51.8797868Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8798071Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8798190Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8798282Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8798380Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8798476Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8798536Z {
2023-01-11T21:01:51.8798618Z     for(long i0=0; i0<9; i0+=1)
2023-01-11T21:01:51.8798680Z     {
2023-01-11T21:01:51.8798818Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8798934Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8799020Z         auto tmp2 = tmp0.fmod(tmp1);
2023-01-11T21:01:51.8799154Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2023-01-11T21:01:51.8799237Z         auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8799320Z         auto tmp5 = tmp4.fmod(tmp1);
2023-01-11T21:01:51.8799448Z         auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2023-01-11T21:01:51.8799571Z         auto tmp7 = tmp5 - tmp6;
2023-01-11T21:01:51.8799644Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8799726Z         tmp7.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8799787Z     }
2023-01-11T21:01:51.8799874Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8799954Z     for(long i0=72; i0<72; i0+=1)
2023-01-11T21:01:51.8800013Z     {
2023-01-11T21:01:51.8800092Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8800161Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8800258Z         auto tmp2 = std::fmod(tmp0, tmp1);
2023-01-11T21:01:51.8800355Z         auto tmp3 = static_cast<float>(3.0);
2023-01-11T21:01:51.8800440Z         auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8800535Z         auto tmp5 = std::fmod(tmp4, tmp1);
2023-01-11T21:01:51.8800632Z         auto tmp6 = static_cast<float>(2.0);
2023-01-11T21:01:51.8800749Z         auto tmp7 = tmp5 - tmp6;
2023-01-11T21:01:51.8800813Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8800887Z         out_ptr1[i0] = tmp7;
2023-01-11T21:01:51.8800950Z     }
2023-01-11T21:01:51.8801009Z }
2023-01-11T21:01:51.8801086Z ''')
2023-01-11T21:01:51.8801091Z 
2023-01-11T21:01:51.8801095Z 
2023-01-11T21:01:51.8801183Z async_compile.wait(globals())
2023-01-11T21:01:51.8801255Z del async_compile
2023-01-11T21:01:51.8801260Z 
2023-01-11T21:01:51.8801327Z def call(args):
2023-01-11T21:01:51.8801388Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8801459Z     args.clear()
2023-01-11T21:01:51.8801670Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8801876Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8802066Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8802132Z     del arg0_1
2023-01-11T21:01:51.8802198Z     del arg1_1
2023-01-11T21:01:51.8802272Z     return (buf0, buf1, )
2023-01-11T21:01:51.8802278Z 
2023-01-11T21:01:51.8802282Z 
2023-01-11T21:01:51.8802355Z if __name__ == "__main__":
2023-01-11T21:01:51.8802455Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8802577Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8802786Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8802994Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8803136Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8803142Z 
2023-01-11T21:01:51.8803206Z ok (1.553s)
2023-01-11T21:01:51.8803954Z   test_fmod_zero_dim_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8804085Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8804349Z [2023-01-11 20:54:40,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192
2023-01-11T21:01:51.8804613Z [2023-01-11 20:54:41,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192
2023-01-11T21:01:51.8805001Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8805125Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8805377Z [2023-01-11 20:54:41,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193
2023-01-11T21:01:51.8805638Z [2023-01-11 20:54:43,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193
2023-01-11T21:01:51.8805643Z 
2023-01-11T21:01:51.8805737Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8805807Z import torch
2023-01-11T21:01:51.8805877Z import random
2023-01-11T21:01:51.8805989Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8806108Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8806115Z 
2023-01-11T21:01:51.8806179Z aten = torch.ops.aten
2023-01-11T21:01:51.8806307Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8806398Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8806404Z 
2023-01-11T21:01:51.8806408Z 
2023-01-11T21:01:51.8806538Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8806741Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8806857Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8806959Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8807057Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8807104Z {
2023-01-11T21:01:51.8807182Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.8807241Z     {
2023-01-11T21:01:51.8807373Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8807491Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:51.8807579Z         auto tmp2 = tmp0.fmod(tmp1);
2023-01-11T21:01:51.8807662Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8807709Z     }
2023-01-11T21:01:51.8807796Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8807875Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.8807932Z     {
2023-01-11T21:01:51.8808008Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8808083Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:51.8808179Z         auto tmp2 = std::fmod(tmp0, tmp1);
2023-01-11T21:01:51.8808242Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8808299Z     }
2023-01-11T21:01:51.8808356Z }
2023-01-11T21:01:51.8808433Z ''')
2023-01-11T21:01:51.8808438Z 
2023-01-11T21:01:51.8808442Z 
2023-01-11T21:01:51.8808526Z async_compile.wait(globals())
2023-01-11T21:01:51.8808596Z del async_compile
2023-01-11T21:01:51.8808601Z 
2023-01-11T21:01:51.8808669Z def call(args):
2023-01-11T21:01:51.8808771Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8808841Z     args.clear()
2023-01-11T21:01:51.8809036Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8809223Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8809290Z     del arg0_1
2023-01-11T21:01:51.8809356Z     del arg1_1
2023-01-11T21:01:51.8809425Z     return (buf0, )
2023-01-11T21:01:51.8809430Z 
2023-01-11T21:01:51.8809435Z 
2023-01-11T21:01:51.8809507Z if __name__ == "__main__":
2023-01-11T21:01:51.8809608Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8809727Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8809921Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8810104Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8810216Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8810223Z 
2023-01-11T21:01:51.8810227Z 
2023-01-11T21:01:51.8810318Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8810385Z import torch
2023-01-11T21:01:51.8810440Z import random
2023-01-11T21:01:51.8810554Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8810673Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8810678Z 
2023-01-11T21:01:51.8810753Z aten = torch.ops.aten
2023-01-11T21:01:51.8810885Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8810974Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8810979Z 
2023-01-11T21:01:51.8810983Z 
2023-01-11T21:01:51.8811113Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8811313Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8811418Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8811519Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8811618Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8811677Z {
2023-01-11T21:01:51.8811754Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.8811812Z     {
2023-01-11T21:01:51.8811929Z         auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2023-01-11T21:01:51.8812058Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8812132Z         auto tmp2 = tmp0.fmod(tmp1);
2023-01-11T21:01:51.8812216Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8812274Z     }
2023-01-11T21:01:51.8812361Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8812438Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.8812495Z     {
2023-01-11T21:01:51.8812561Z         auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.8812640Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8812736Z         auto tmp2 = std::fmod(tmp0, tmp1);
2023-01-11T21:01:51.8812812Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8812870Z     }
2023-01-11T21:01:51.8812930Z }
2023-01-11T21:01:51.8813005Z ''')
2023-01-11T21:01:51.8813010Z 
2023-01-11T21:01:51.8813015Z 
2023-01-11T21:01:51.8813100Z async_compile.wait(globals())
2023-01-11T21:01:51.8813158Z del async_compile
2023-01-11T21:01:51.8813163Z 
2023-01-11T21:01:51.8813234Z def call(args):
2023-01-11T21:01:51.8813308Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8813375Z     args.clear()
2023-01-11T21:01:51.8813567Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8813726Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8813793Z     del arg0_1
2023-01-11T21:01:51.8813845Z     del arg1_1
2023-01-11T21:01:51.8813912Z     return (buf0, )
2023-01-11T21:01:51.8813917Z 
2023-01-11T21:01:51.8813921Z 
2023-01-11T21:01:51.8813993Z if __name__ == "__main__":
2023-01-11T21:01:51.8814105Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8814224Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8814439Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8814631Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8814770Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8814776Z 
2023-01-11T21:01:51.8814829Z ok (3.031s)
2023-01-11T21:01:51.8815279Z   test_forced_buffer_realize_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8815406Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8815664Z [2023-01-11 20:54:43,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194
2023-01-11T21:01:51.8815927Z [2023-01-11 20:54:45,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194
2023-01-11T21:01:51.8815933Z 
2023-01-11T21:01:51.8816024Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8816095Z import torch
2023-01-11T21:01:51.8816165Z import random
2023-01-11T21:01:51.8816278Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8816384Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8816389Z 
2023-01-11T21:01:51.8816466Z aten = torch.ops.aten
2023-01-11T21:01:51.8816597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8816688Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8816693Z 
2023-01-11T21:01:51.8816697Z 
2023-01-11T21:01:51.8816829Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8817032Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8817146Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.8817251Z                        const float* __restrict__ in_ptr0)
2023-01-11T21:01:51.8817298Z {
2023-01-11T21:01:51.8817375Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.8817434Z     {
2023-01-11T21:01:51.8817564Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8817692Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8817774Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.8817852Z         auto tmp3 = tmp2 * tmp1;
2023-01-11T21:01:51.8817929Z         tmp3.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.8817988Z     }
2023-01-11T21:01:51.8818072Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8818148Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:51.8818207Z     {
2023-01-11T21:01:51.8818284Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8818378Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.8818443Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.8818521Z         auto tmp3 = tmp2 * tmp1;
2023-01-11T21:01:51.8818599Z         in_out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.8818657Z     }
2023-01-11T21:01:51.8818715Z }
2023-01-11T21:01:51.8818789Z ''')
2023-01-11T21:01:51.8818794Z 
2023-01-11T21:01:51.8818800Z 
2023-01-11T21:01:51.8818886Z async_compile.wait(globals())
2023-01-11T21:01:51.8818944Z del async_compile
2023-01-11T21:01:51.8818949Z 
2023-01-11T21:01:51.8819016Z def call(args):
2023-01-11T21:01:51.8819082Z     arg0_1, = args
2023-01-11T21:01:51.8819150Z     args.clear()
2023-01-11T21:01:51.8819342Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8819425Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.8819558Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.8819611Z     del arg0_1
2023-01-11T21:01:51.8819681Z     return (buf1, )
2023-01-11T21:01:51.8819686Z 
2023-01-11T21:01:51.8819690Z 
2023-01-11T21:01:51.8819762Z if __name__ == "__main__":
2023-01-11T21:01:51.8819904Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8820022Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8820243Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8820350Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8820356Z 
2023-01-11T21:01:51.8820420Z ok (1.539s)
2023-01-11T21:01:51.8820852Z   test_full_like_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8820966Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8821223Z [2023-01-11 20:54:45,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195
2023-01-11T21:01:51.8821485Z [2023-01-11 20:54:46,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195
2023-01-11T21:01:51.8821491Z 
2023-01-11T21:01:51.8821585Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8821654Z import torch
2023-01-11T21:01:51.8821723Z import random
2023-01-11T21:01:51.8821838Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8821957Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8821962Z 
2023-01-11T21:01:51.8822027Z aten = torch.ops.aten
2023-01-11T21:01:51.8822158Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8822246Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8822251Z 
2023-01-11T21:01:51.8822255Z 
2023-01-11T21:01:51.8822387Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8822588Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8822701Z extern "C" void kernel(float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8822761Z {
2023-01-11T21:01:51.8822839Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.8822886Z     {
2023-01-11T21:01:51.8823020Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(7.777));
2023-01-11T21:01:51.8823149Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8823269Z         auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.8823357Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8823416Z     }
2023-01-11T21:01:51.8823504Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8823567Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.8823625Z     {
2023-01-11T21:01:51.8823724Z         auto tmp0 = static_cast<float>(7.777);
2023-01-11T21:01:51.8823817Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8823936Z         auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.8824012Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8824073Z     }
2023-01-11T21:01:51.8824118Z }
2023-01-11T21:01:51.8824195Z ''')
2023-01-11T21:01:51.8824200Z 
2023-01-11T21:01:51.8824204Z 
2023-01-11T21:01:51.8824289Z async_compile.wait(globals())
2023-01-11T21:01:51.8824360Z del async_compile
2023-01-11T21:01:51.8824365Z 
2023-01-11T21:01:51.8824435Z def call(args):
2023-01-11T21:01:51.8824502Z     arg0_1, = args
2023-01-11T21:01:51.8824571Z     args.clear()
2023-01-11T21:01:51.8824747Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8824849Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8824918Z     return (buf0, )
2023-01-11T21:01:51.8824923Z 
2023-01-11T21:01:51.8824927Z 
2023-01-11T21:01:51.8824999Z if __name__ == "__main__":
2023-01-11T21:01:51.8825108Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8825229Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8825418Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8825559Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8825565Z 
2023-01-11T21:01:51.8825617Z ok (1.538s)
2023-01-11T21:01:51.8826084Z   test_fuse_tiled_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8826213Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8826469Z [2023-01-11 20:54:46,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196
2023-01-11T21:01:51.8826732Z [2023-01-11 20:54:48,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196
2023-01-11T21:01:51.8826737Z 
2023-01-11T21:01:51.8826828Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8826899Z import torch
2023-01-11T21:01:51.8826967Z import random
2023-01-11T21:01:51.8827080Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8827187Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8827192Z 
2023-01-11T21:01:51.8827273Z aten = torch.ops.aten
2023-01-11T21:01:51.8827404Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8827494Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8827500Z 
2023-01-11T21:01:51.8827504Z 
2023-01-11T21:01:51.8827635Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8827838Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8827956Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8828056Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8828145Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8828241Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8828338Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8828398Z {
2023-01-11T21:01:51.8828472Z     #pragma GCC ivdep
2023-01-11T21:01:51.8828552Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8828612Z     {
2023-01-11T21:01:51.8828680Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:51.8828743Z         {
2023-01-11T21:01:51.8828864Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2023-01-11T21:01:51.8828995Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:51.8829078Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8829177Z             tmp2.store(out_ptr0 + (8*i1) + (128*i0));
2023-01-11T21:01:51.8829238Z         }
2023-01-11T21:01:51.8829313Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8829391Z         for(long i1=128; i1<128; i1+=1)
2023-01-11T21:01:51.8829450Z         {
2023-01-11T21:01:51.8829531Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8829614Z             auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:51.8829693Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8829779Z             out_ptr0[i1 + (128*i0)] = tmp2;
2023-01-11T21:01:51.8829827Z         }
2023-01-11T21:01:51.8829887Z     }
2023-01-11T21:01:51.8829963Z     for(long i0=0; i0<2048; i0+=1)
2023-01-11T21:01:51.8830023Z     {
2023-01-11T21:01:51.8830149Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2023-01-11T21:01:51.8830278Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8830359Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8830431Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8830489Z     }
2023-01-11T21:01:51.8830573Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8830654Z     for(long i0=16384; i0<16384; i0+=1)
2023-01-11T21:01:51.8830712Z     {
2023-01-11T21:01:51.8830790Z         auto tmp0 = in_ptr2[i0];
2023-01-11T21:01:51.8830882Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8830983Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8831059Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.8831116Z     }
2023-01-11T21:01:51.8831173Z }
2023-01-11T21:01:51.8831251Z ''')
2023-01-11T21:01:51.8831284Z 
2023-01-11T21:01:51.8831289Z 
2023-01-11T21:01:51.8831375Z async_compile.wait(globals())
2023-01-11T21:01:51.8831447Z del async_compile
2023-01-11T21:01:51.8831452Z 
2023-01-11T21:01:51.8831508Z def call(args):
2023-01-11T21:01:51.8831587Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8831657Z     args.clear()
2023-01-11T21:01:51.8831860Z     buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8832059Z     buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8832269Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8832338Z     del arg0_1
2023-01-11T21:01:51.8832404Z     del arg1_1
2023-01-11T21:01:51.8832456Z     del arg2_1
2023-01-11T21:01:51.8832531Z     return (buf0, buf1, )
2023-01-11T21:01:51.8832537Z 
2023-01-11T21:01:51.8832541Z 
2023-01-11T21:01:51.8832616Z if __name__ == "__main__":
2023-01-11T21:01:51.8832728Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8832848Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8833123Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8833324Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8833525Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8833635Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8833640Z 
2023-01-11T21:01:51.8833704Z ok (1.539s)
2023-01-11T21:01:51.8834142Z   test_gather1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8834267Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8834526Z [2023-01-11 20:54:48,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197
2023-01-11T21:01:51.8834787Z [2023-01-11 20:54:49,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197
2023-01-11T21:01:51.8834793Z 
2023-01-11T21:01:51.8834886Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8834954Z import torch
2023-01-11T21:01:51.8835021Z import random
2023-01-11T21:01:51.8835123Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8835242Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8835249Z 
2023-01-11T21:01:51.8835325Z aten = torch.ops.aten
2023-01-11T21:01:51.8835456Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8835547Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8835554Z 
2023-01-11T21:01:51.8835558Z 
2023-01-11T21:01:51.8835689Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8835889Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8836005Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8836097Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8836194Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8836289Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8836348Z {
2023-01-11T21:01:51.8836422Z     #pragma GCC ivdep
2023-01-11T21:01:51.8836502Z     for(long i0=0; i0<20; i0+=1)
2023-01-11T21:01:51.8836561Z     {
2023-01-11T21:01:51.8836661Z         #pragma GCC ivdep
2023-01-11T21:01:51.8836739Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:51.8836800Z         {
2023-01-11T21:01:51.8836861Z             {
2023-01-11T21:01:51.8836924Z                 {
2023-01-11T21:01:51.8837050Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:51.8837153Z                     auto tmp1 = static_cast<long>(1);
2023-01-11T21:01:51.8837231Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8837330Z                     auto tmp3 = in_ptr1[tmp2 + (6*i1)];
2023-01-11T21:01:51.8837420Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:51.8837506Z                     out_ptr1[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:51.8837568Z                 }
2023-01-11T21:01:51.8837631Z             }
2023-01-11T21:01:51.8837692Z         }
2023-01-11T21:01:51.8837740Z     }
2023-01-11T21:01:51.8837796Z }
2023-01-11T21:01:51.8837874Z ''')
2023-01-11T21:01:51.8837880Z 
2023-01-11T21:01:51.8837884Z 
2023-01-11T21:01:51.8837974Z async_compile.wait(globals())
2023-01-11T21:01:51.8838045Z del async_compile
2023-01-11T21:01:51.8838050Z 
2023-01-11T21:01:51.8838117Z def call(args):
2023-01-11T21:01:51.8838189Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8838248Z     args.clear()
2023-01-11T21:01:51.8838458Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8838669Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8838854Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8838921Z     del arg0_1
2023-01-11T21:01:51.8838986Z     del arg1_1
2023-01-11T21:01:51.8839059Z     return (buf0, buf1, )
2023-01-11T21:01:51.8839065Z 
2023-01-11T21:01:51.8839069Z 
2023-01-11T21:01:51.8839142Z if __name__ == "__main__":
2023-01-11T21:01:51.8839242Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8839363Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8839576Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8839784Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8839898Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8839903Z 
2023-01-11T21:01:51.8839966Z ok (1.551s)
2023-01-11T21:01:51.8840074Z   test_gather2_cpu (__main__.CpuTests) ... ok (0.001s)
2023-01-11T21:01:51.8840515Z   test_gather_scatter_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8840639Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8840888Z [2023-01-11 20:54:49,756] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198
2023-01-11T21:01:51.8841154Z [2023-01-11 20:54:51,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198
2023-01-11T21:01:51.8841160Z 
2023-01-11T21:01:51.8841253Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8841321Z import torch
2023-01-11T21:01:51.8841389Z import random
2023-01-11T21:01:51.8841501Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8841619Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8841624Z 
2023-01-11T21:01:51.8841700Z aten = torch.ops.aten
2023-01-11T21:01:51.8841820Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8841909Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8841914Z 
2023-01-11T21:01:51.8841919Z 
2023-01-11T21:01:51.8842049Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8842288Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8842403Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8842546Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8842644Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8842703Z {
2023-01-11T21:01:51.8842769Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.8842827Z     {
2023-01-11T21:01:51.8842961Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2023-01-11T21:01:51.8843049Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8843108Z     }
2023-01-11T21:01:51.8843193Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8843273Z     for(long i0=512; i0<512; i0+=1)
2023-01-11T21:01:51.8843320Z     {
2023-01-11T21:01:51.8843571Z         auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:51.8843691Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.8843756Z     }
2023-01-11T21:01:51.8843831Z     #pragma GCC ivdep
2023-01-11T21:01:51.8843909Z     for(long i0=0; i0<80; i0+=1)
2023-01-11T21:01:51.8843956Z     {
2023-01-11T21:01:51.8844033Z         #pragma GCC ivdep
2023-01-11T21:01:51.8844113Z         for(long i1=0; i1<32; i1+=1)
2023-01-11T21:01:51.8844176Z         {
2023-01-11T21:01:51.8844238Z             {
2023-01-11T21:01:51.8844300Z                 {
2023-01-11T21:01:51.8844393Z                     auto tmp0 = in_ptr0[80 + i0];
2023-01-11T21:01:51.8844471Z                     auto tmp1 = in_ptr0[i0];
2023-01-11T21:01:51.8844569Z                     auto tmp2 = in_ptr1[i1 + (32*tmp1)];
2023-01-11T21:01:51.8844668Z                     auto tmp3 = in_ptr1[i1 + (32*tmp0)];
2023-01-11T21:01:51.8844810Z                     auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:51.8844910Z                     auto tmp5 = static_cast<float>(1);
2023-01-11T21:01:51.8844997Z                     auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.8845092Z                     out_ptr0[i1 + (32*tmp0)] += tmp6;
2023-01-11T21:01:51.8845146Z                 }
2023-01-11T21:01:51.8845208Z             }
2023-01-11T21:01:51.8845268Z         }
2023-01-11T21:01:51.8845328Z     }
2023-01-11T21:01:51.8845386Z }
2023-01-11T21:01:51.8845460Z ''')
2023-01-11T21:01:51.8845468Z 
2023-01-11T21:01:51.8845472Z 
2023-01-11T21:01:51.8845557Z async_compile.wait(globals())
2023-01-11T21:01:51.8845615Z del async_compile
2023-01-11T21:01:51.8845620Z 
2023-01-11T21:01:51.8845687Z def call(args):
2023-01-11T21:01:51.8845760Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8845828Z     args.clear()
2023-01-11T21:01:51.8846026Z     buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8846188Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8846252Z     del arg0_1
2023-01-11T21:01:51.8846303Z     del arg1_1
2023-01-11T21:01:51.8846371Z     return (buf0, )
2023-01-11T21:01:51.8846377Z 
2023-01-11T21:01:51.8846383Z 
2023-01-11T21:01:51.8846456Z if __name__ == "__main__":
2023-01-11T21:01:51.8846567Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8846688Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8846888Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8847082Z     arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8847193Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8847198Z 
2023-01-11T21:01:51.8847250Z ok (1.637s)
2023-01-11T21:01:51.8847682Z   test_gelu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8847810Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8848129Z [2023-01-11 20:54:51,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199
2023-01-11T21:01:51.8848426Z [2023-01-11 20:54:52,868] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199
2023-01-11T21:01:51.8848432Z 
2023-01-11T21:01:51.8848525Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8848594Z import torch
2023-01-11T21:01:51.8848662Z import random
2023-01-11T21:01:51.8848777Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8848884Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8848902Z 
2023-01-11T21:01:51.8848968Z aten = torch.ops.aten
2023-01-11T21:01:51.8849100Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8849188Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8849194Z 
2023-01-11T21:01:51.8849198Z 
2023-01-11T21:01:51.8849332Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8849539Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8849656Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8849757Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8849866Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8849925Z {
2023-01-11T21:01:51.8850004Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.8850064Z     {
2023-01-11T21:01:51.8850198Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8850332Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(0.5));
2023-01-11T21:01:51.8850414Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.8850553Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.7071067811865476));
2023-01-11T21:01:51.8850620Z         auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8850699Z         auto tmp5 = tmp4.erf();
2023-01-11T21:01:51.8850829Z         auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8850908Z         auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:51.8850986Z         auto tmp8 = tmp2 * tmp7;
2023-01-11T21:01:51.8851115Z         auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8851197Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.8851264Z         auto tmp11 = tmp0 + tmp6;
2023-01-11T21:01:51.8851345Z         auto tmp12 = tmp11 * tmp1;
2023-01-11T21:01:51.8851428Z         auto tmp13 = tmp11 * tmp3;
2023-01-11T21:01:51.8851508Z         auto tmp14 = tmp13.erf();
2023-01-11T21:01:51.8851587Z         auto tmp15 = tmp14 + tmp6;
2023-01-11T21:01:51.8851667Z         auto tmp16 = tmp12 * tmp15;
2023-01-11T21:01:51.8851754Z         tmp10.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8851824Z         tmp16.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8851885Z     }
2023-01-11T21:01:51.8851972Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8852054Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.8852114Z     {
2023-01-11T21:01:51.8852193Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8852290Z         auto tmp1 = static_cast<float>(0.5);
2023-01-11T21:01:51.8852359Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.8852465Z         auto tmp3 = static_cast<float>(0.7071067811865476);
2023-01-11T21:01:51.8852544Z         auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8852628Z         auto tmp5 = std::erf(tmp4);
2023-01-11T21:01:51.8852722Z         auto tmp6 = static_cast<float>(1);
2023-01-11T21:01:51.8852800Z         auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:51.8852877Z         auto tmp8 = tmp2 * tmp7;
2023-01-11T21:01:51.8852957Z         auto tmp9 = static_cast<float>(2);
2023-01-11T21:01:51.8853036Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.8853115Z         auto tmp11 = tmp0 + tmp6;
2023-01-11T21:01:51.8853201Z         auto tmp12 = tmp11 * tmp1;
2023-01-11T21:01:51.8853281Z         auto tmp13 = tmp11 * tmp3;
2023-01-11T21:01:51.8853407Z         auto tmp14 = std::erf(tmp13);
2023-01-11T21:01:51.8853485Z         auto tmp15 = tmp14 + tmp6;
2023-01-11T21:01:51.8853552Z         auto tmp16 = tmp12 * tmp15;
2023-01-11T21:01:51.8853627Z         out_ptr0[i0] = tmp10;
2023-01-11T21:01:51.8853734Z         out_ptr1[i0] = tmp16;
2023-01-11T21:01:51.8853795Z     }
2023-01-11T21:01:51.8853854Z }
2023-01-11T21:01:51.8853930Z ''')
2023-01-11T21:01:51.8853936Z 
2023-01-11T21:01:51.8853940Z 
2023-01-11T21:01:51.8854026Z async_compile.wait(globals())
2023-01-11T21:01:51.8854085Z del async_compile
2023-01-11T21:01:51.8854090Z 
2023-01-11T21:01:51.8854158Z def call(args):
2023-01-11T21:01:51.8854223Z     arg0_1, = args
2023-01-11T21:01:51.8854292Z     args.clear()
2023-01-11T21:01:51.8854492Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8854686Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8854849Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8854905Z     del arg0_1
2023-01-11T21:01:51.8854980Z     return (buf0, buf1, )
2023-01-11T21:01:51.8854985Z 
2023-01-11T21:01:51.8854990Z 
2023-01-11T21:01:51.8855066Z if __name__ == "__main__":
2023-01-11T21:01:51.8855178Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8855298Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8855496Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8855601Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8855606Z 
2023-01-11T21:01:51.8855670Z ok (1.576s)
2023-01-11T21:01:51.8856096Z   test_glu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8856222Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8856470Z [2023-01-11 20:54:52,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200
2023-01-11T21:01:51.8856734Z [2023-01-11 20:54:54,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200
2023-01-11T21:01:51.8856739Z 
2023-01-11T21:01:51.8856831Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8856900Z import torch
2023-01-11T21:01:51.8856969Z import random
2023-01-11T21:01:51.8857079Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8857196Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8857202Z 
2023-01-11T21:01:51.8857279Z aten = torch.ops.aten
2023-01-11T21:01:51.8857398Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8857487Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8857494Z 
2023-01-11T21:01:51.8857499Z 
2023-01-11T21:01:51.8857629Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8857833Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8857952Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8858047Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8858143Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8858234Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8858281Z {
2023-01-11T21:01:51.8858355Z     #pragma GCC ivdep
2023-01-11T21:01:51.8858435Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.8858494Z     {
2023-01-11T21:01:51.8858570Z         #pragma GCC ivdep
2023-01-11T21:01:51.8858649Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.8858698Z         {
2023-01-11T21:01:51.8858760Z             {
2023-01-11T21:01:51.8858822Z                 {
2023-01-11T21:01:51.8858958Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.8859056Z                     auto tmp1 = in_ptr0[4 + i1 + (8*i0)];
2023-01-11T21:01:51.8859204Z                     auto tmp2 = std::exp(-tmp1);
2023-01-11T21:01:51.8859322Z                     auto tmp3 = 1 / (1 + tmp2);
2023-01-11T21:01:51.8859404Z                     auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8859495Z                     out_ptr0[i1 + (4*i0)] = tmp4;
2023-01-11T21:01:51.8859558Z                 }
2023-01-11T21:01:51.8859621Z             }
2023-01-11T21:01:51.8859682Z         }
2023-01-11T21:01:51.8859741Z     }
2023-01-11T21:01:51.8859816Z     #pragma GCC ivdep
2023-01-11T21:01:51.8859881Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8859940Z     {
2023-01-11T21:01:51.8860020Z         for(long i1=0; i1<64; i1+=1)
2023-01-11T21:01:51.8860080Z         {
2023-01-11T21:01:51.8860218Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2023-01-11T21:01:51.8860363Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 512 + (8*i1) + (1024*i0));
2023-01-11T21:01:51.8860494Z             auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2023-01-11T21:01:51.8860566Z             auto tmp3 = tmp0 * tmp2;
2023-01-11T21:01:51.8860665Z             tmp3.store(out_ptr1 + (8*i1) + (512*i0));
2023-01-11T21:01:51.8860726Z         }
2023-01-11T21:01:51.8860813Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8860893Z         for(long i1=512; i1<512; i1+=1)
2023-01-11T21:01:51.8860952Z         {
2023-01-11T21:01:51.8861046Z             auto tmp0 = in_ptr0[i1 + (1024*i0)];
2023-01-11T21:01:51.8861132Z             auto tmp1 = in_ptr0[512 + i1 + (1024*i0)];
2023-01-11T21:01:51.8861267Z             auto tmp2 = std::exp(-tmp1);
2023-01-11T21:01:51.8861348Z             auto tmp3 = 1 / (1 + tmp2);
2023-01-11T21:01:51.8861429Z             auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8861515Z             out_ptr1[i1 + (512*i0)] = tmp4;
2023-01-11T21:01:51.8861576Z         }
2023-01-11T21:01:51.8861635Z     }
2023-01-11T21:01:51.8861696Z     #pragma GCC ivdep
2023-01-11T21:01:51.8861774Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8861833Z     {
2023-01-11T21:01:51.8861913Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.8861973Z         {
2023-01-11T21:01:51.8862109Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (64*i0));
2023-01-11T21:01:51.8862246Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i1) + (64*i0));
2023-01-11T21:01:51.8862379Z             auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2023-01-11T21:01:51.8862449Z             auto tmp3 = tmp0 * tmp2;
2023-01-11T21:01:51.8862548Z             tmp3.store(out_ptr2 + (8*i1) + (32*i0));
2023-01-11T21:01:51.8862608Z         }
2023-01-11T21:01:51.8862694Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8862774Z         for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:51.8862834Z         {
2023-01-11T21:01:51.8862916Z             auto tmp0 = in_ptr0[i1 + (64*i0)];
2023-01-11T21:01:51.8863010Z             auto tmp1 = in_ptr0[32 + i1 + (64*i0)];
2023-01-11T21:01:51.8863145Z             auto tmp2 = std::exp(-tmp1);
2023-01-11T21:01:51.8863227Z             auto tmp3 = 1 / (1 + tmp2);
2023-01-11T21:01:51.8863307Z             auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.8863392Z             out_ptr2[i1 + (32*i0)] = tmp4;
2023-01-11T21:01:51.8863452Z         }
2023-01-11T21:01:51.8863499Z     }
2023-01-11T21:01:51.8863558Z }
2023-01-11T21:01:51.8863633Z ''')
2023-01-11T21:01:51.8863638Z 
2023-01-11T21:01:51.8863643Z 
2023-01-11T21:01:51.8863728Z async_compile.wait(globals())
2023-01-11T21:01:51.8863798Z del async_compile
2023-01-11T21:01:51.8863803Z 
2023-01-11T21:01:51.8863871Z def call(args):
2023-01-11T21:01:51.8863938Z     arg0_1, = args
2023-01-11T21:01:51.8864007Z     args.clear()
2023-01-11T21:01:51.8864209Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8864453Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8864658Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8864871Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8864939Z     del arg0_1
2023-01-11T21:01:51.8865018Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8865023Z 
2023-01-11T21:01:51.8865028Z 
2023-01-11T21:01:51.8865102Z if __name__ == "__main__":
2023-01-11T21:01:51.8865214Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8865323Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8865539Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8865646Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8865651Z 
2023-01-11T21:01:51.8865718Z ok (1.617s)
2023-01-11T21:01:51.8866158Z   test_grid_sampler_2d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8866285Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8866540Z [2023-01-11 20:54:55,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201
2023-01-11T21:01:51.8866748Z [2023-01-11 20:54:56,572] torch._inductor.scheduler: [DEBUG] remove_buffer('buf7')
2023-01-11T21:01:51.8866946Z [2023-01-11 20:54:56,573] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2023-01-11T21:01:51.8867128Z [2023-01-11 20:54:56,573] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5')
2023-01-11T21:01:51.8867150Z 
2023-01-11T21:01:51.8867231Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8867298Z import torch
2023-01-11T21:01:51.8867367Z import random
2023-01-11T21:01:51.8867479Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8867599Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8867604Z 
2023-01-11T21:01:51.8867681Z aten = torch.ops.aten
2023-01-11T21:01:51.8867813Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8867890Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8867895Z 
2023-01-11T21:01:51.8867911Z 
2023-01-11T21:01:51.8868030Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8868232Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8868348Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.8868449Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.8868553Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8868657Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8868754Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8868837Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8868930Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.8869021Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.8869114Z                        long* __restrict__ out_ptr4,
2023-01-11T21:01:51.8869204Z                        long* __restrict__ out_ptr5,
2023-01-11T21:01:51.8869294Z                        float* __restrict__ out_ptr6,
2023-01-11T21:01:51.8869383Z                        long* __restrict__ out_ptr7,
2023-01-11T21:01:51.8869461Z                        long* __restrict__ out_ptr8,
2023-01-11T21:01:51.8869552Z                        float* __restrict__ out_ptr9,
2023-01-11T21:01:51.8869643Z                        long* __restrict__ out_ptr10,
2023-01-11T21:01:51.8869798Z                        long* __restrict__ out_ptr11,
2023-01-11T21:01:51.8869897Z                        float* __restrict__ out_ptr12,
2023-01-11T21:01:51.8869987Z                        long* __restrict__ out_ptr13,
2023-01-11T21:01:51.8870106Z                        long* __restrict__ out_ptr14,
2023-01-11T21:01:51.8870204Z                        float* __restrict__ out_ptr15)
2023-01-11T21:01:51.8870250Z {
2023-01-11T21:01:51.8870324Z     #pragma GCC ivdep
2023-01-11T21:01:51.8870406Z     for(long i0=0; i0<495616; i0+=1)
2023-01-11T21:01:51.8870466Z     {
2023-01-11T21:01:51.8870527Z         {
2023-01-11T21:01:51.8870589Z             {
2023-01-11T21:01:51.8870666Z                 auto tmp0 = in_ptr0[2*i0];
2023-01-11T21:01:51.8870760Z                 auto tmp9 = in_ptr0[1 + (2*i0)];
2023-01-11T21:01:51.8870862Z                 auto tmp1 = static_cast<float>(175.5);
2023-01-11T21:01:51.8870948Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.8871033Z                 auto tmp3 = tmp2 + tmp1;
2023-01-11T21:01:51.8871132Z                 auto tmp4 = std::floor(tmp3);
2023-01-11T21:01:51.8871231Z                 auto tmp5 = static_cast<float>(0);
2023-01-11T21:01:51.8871303Z                 auto tmp6 = tmp4 >= tmp5;
2023-01-11T21:01:51.8871407Z                 auto tmp7 = static_cast<float>(352);
2023-01-11T21:01:51.8871492Z                 auto tmp8 = tmp4 < tmp7;
2023-01-11T21:01:51.8871576Z                 auto tmp10 = tmp9 * tmp1;
2023-01-11T21:01:51.8871663Z                 auto tmp11 = tmp10 + tmp1;
2023-01-11T21:01:51.8871760Z                 auto tmp12 = std::floor(tmp11);
2023-01-11T21:01:51.8871849Z                 auto tmp13 = tmp12 >= tmp5;
2023-01-11T21:01:51.8871924Z                 auto tmp14 = tmp12 < tmp7;
2023-01-11T21:01:51.8872014Z                 auto tmp15 = tmp13 && tmp14;
2023-01-11T21:01:51.8872103Z                 auto tmp16 = tmp8 && tmp15;
2023-01-11T21:01:51.8872189Z                 auto tmp17 = tmp6 && tmp16;
2023-01-11T21:01:51.8872288Z                 auto tmp18 = static_cast<float>(1);
2023-01-11T21:01:51.8872372Z                 auto tmp19 = tmp4 + tmp18;
2023-01-11T21:01:51.8872502Z                 auto tmp20 = tmp19 - tmp3;
2023-01-11T21:01:51.8872590Z                 auto tmp21 = tmp12 + tmp18;
2023-01-11T21:01:51.8872710Z                 auto tmp22 = tmp21 - tmp11;
2023-01-11T21:01:51.8872793Z                 auto tmp23 = tmp20 * tmp22;
2023-01-11T21:01:51.8872998Z                 auto tmp24 = tmp17 ? tmp23 : tmp5;
2023-01-11T21:01:51.8873091Z                 auto tmp25 = tmp19 >= tmp5;
2023-01-11T21:01:51.8873175Z                 auto tmp26 = tmp19 < tmp7;
2023-01-11T21:01:51.8873262Z                 auto tmp27 = tmp26 && tmp15;
2023-01-11T21:01:51.8873350Z                 auto tmp28 = tmp25 && tmp27;
2023-01-11T21:01:51.8873468Z                 auto tmp29 = tmp3 - tmp4;
2023-01-11T21:01:51.8873556Z                 auto tmp30 = tmp29 * tmp22;
2023-01-11T21:01:51.8873650Z                 auto tmp31 = tmp28 ? tmp30 : tmp5;
2023-01-11T21:01:51.8873741Z                 auto tmp32 = tmp21 >= tmp5;
2023-01-11T21:01:51.8873827Z                 auto tmp33 = tmp21 < tmp7;
2023-01-11T21:01:51.8873915Z                 auto tmp34 = tmp32 && tmp33;
2023-01-11T21:01:51.8874003Z                 auto tmp35 = tmp8 && tmp34;
2023-01-11T21:01:51.8874079Z                 auto tmp36 = tmp6 && tmp35;
2023-01-11T21:01:51.8874208Z                 auto tmp37 = tmp11 - tmp12;
2023-01-11T21:01:51.8874293Z                 auto tmp38 = tmp20 * tmp37;
2023-01-11T21:01:51.8874387Z                 auto tmp39 = tmp36 ? tmp38 : tmp5;
2023-01-11T21:01:51.8874475Z                 auto tmp40 = tmp26 && tmp34;
2023-01-11T21:01:51.8874562Z                 auto tmp41 = tmp25 && tmp40;
2023-01-11T21:01:51.8874647Z                 auto tmp42 = tmp29 * tmp37;
2023-01-11T21:01:51.8874729Z                 auto tmp43 = tmp41 ? tmp42 : tmp5;
2023-01-11T21:01:51.8874833Z                 auto tmp44 = static_cast<float>(176.0);
2023-01-11T21:01:51.8874921Z                 auto tmp45 = tmp0 * tmp44;
2023-01-11T21:01:51.8875046Z                 auto tmp46 = tmp45 + tmp1;
2023-01-11T21:01:51.8875147Z                 auto tmp47 = static_cast<float>(0.0);
2023-01-11T21:01:51.8875298Z                 auto tmp48 = (tmp47 != tmp47) ? tmp47 : std::max(tmp46, tmp47);
2023-01-11T21:01:51.8875403Z                 auto tmp49 = static_cast<float>(351.0);
2023-01-11T21:01:51.8875527Z                 auto tmp50 = (tmp49 != tmp49) ? tmp49 : std::min(tmp48, tmp49);
2023-01-11T21:01:51.8875613Z                 auto tmp51 = std::floor(tmp50);
2023-01-11T21:01:51.8875701Z                 auto tmp52 = tmp51 >= tmp5;
2023-01-11T21:01:51.8875790Z                 auto tmp53 = tmp51 < tmp7;
2023-01-11T21:01:51.8875874Z                 auto tmp54 = tmp9 * tmp44;
2023-01-11T21:01:51.8875961Z                 auto tmp55 = tmp54 + tmp1;
2023-01-11T21:01:51.8876087Z                 auto tmp56 = (tmp47 != tmp47) ? tmp47 : std::max(tmp55, tmp47);
2023-01-11T21:01:51.8876209Z                 auto tmp57 = (tmp49 != tmp49) ? tmp49 : std::min(tmp56, tmp49);
2023-01-11T21:01:51.8876296Z                 auto tmp58 = std::floor(tmp57);
2023-01-11T21:01:51.8876383Z                 auto tmp59 = tmp58 >= tmp5;
2023-01-11T21:01:51.8876471Z                 auto tmp60 = tmp58 < tmp7;
2023-01-11T21:01:51.8876562Z                 auto tmp61 = tmp59 && tmp60;
2023-01-11T21:01:51.8876649Z                 auto tmp62 = tmp53 && tmp61;
2023-01-11T21:01:51.8876735Z                 auto tmp63 = tmp52 && tmp62;
2023-01-11T21:01:51.8876838Z                 auto tmp64 = static_cast<long>(tmp51);
2023-01-11T21:01:51.8876936Z                 auto tmp65 = static_cast<long>(0);
2023-01-11T21:01:51.8877021Z                 auto tmp66 = tmp63 ? tmp64 : tmp65;
2023-01-11T21:01:51.8877121Z                 auto tmp67 = static_cast<long>(tmp58);
2023-01-11T21:01:51.8877216Z                 auto tmp68 = tmp63 ? tmp67 : tmp65;
2023-01-11T21:01:51.8877303Z                 auto tmp69 = tmp51 + tmp18;
2023-01-11T21:01:51.8877436Z                 auto tmp70 = tmp69 - tmp50;
2023-01-11T21:01:51.8877524Z                 auto tmp71 = tmp58 + tmp18;
2023-01-11T21:01:51.8877653Z                 auto tmp72 = tmp71 - tmp57;
2023-01-11T21:01:51.8877726Z                 auto tmp73 = tmp70 * tmp72;
2023-01-11T21:01:51.8877824Z                 auto tmp74 = tmp63 ? tmp73 : tmp5;
2023-01-11T21:01:51.8877911Z                 auto tmp75 = tmp69 >= tmp5;
2023-01-11T21:01:51.8877996Z                 auto tmp76 = tmp69 < tmp7;
2023-01-11T21:01:51.8878083Z                 auto tmp77 = tmp76 && tmp61;
2023-01-11T21:01:51.8878171Z                 auto tmp78 = tmp75 && tmp77;
2023-01-11T21:01:51.8878272Z                 auto tmp79 = static_cast<long>(tmp69);
2023-01-11T21:01:51.8878354Z                 auto tmp80 = tmp78 ? tmp79 : tmp65;
2023-01-11T21:01:51.8878447Z                 auto tmp81 = tmp78 ? tmp67 : tmp65;
2023-01-11T21:01:51.8878580Z                 auto tmp82 = tmp50 - tmp51;
2023-01-11T21:01:51.8878668Z                 auto tmp83 = tmp82 * tmp72;
2023-01-11T21:01:51.8878766Z                 auto tmp84 = tmp78 ? tmp83 : tmp5;
2023-01-11T21:01:51.8878852Z                 auto tmp85 = tmp71 >= tmp5;
2023-01-11T21:01:51.8878938Z                 auto tmp86 = tmp71 < tmp7;
2023-01-11T21:01:51.8879013Z                 auto tmp87 = tmp85 && tmp86;
2023-01-11T21:01:51.8879102Z                 auto tmp88 = tmp53 && tmp87;
2023-01-11T21:01:51.8879188Z                 auto tmp89 = tmp52 && tmp88;
2023-01-11T21:01:51.8879283Z                 auto tmp90 = tmp89 ? tmp64 : tmp65;
2023-01-11T21:01:51.8879385Z                 auto tmp91 = static_cast<long>(tmp71);
2023-01-11T21:01:51.8879479Z                 auto tmp92 = tmp89 ? tmp91 : tmp65;
2023-01-11T21:01:51.8879608Z                 auto tmp93 = tmp57 - tmp58;
2023-01-11T21:01:51.8879682Z                 auto tmp94 = tmp70 * tmp93;
2023-01-11T21:01:51.8879777Z                 auto tmp95 = tmp89 ? tmp94 : tmp5;
2023-01-11T21:01:51.8879864Z                 auto tmp96 = tmp76 && tmp87;
2023-01-11T21:01:51.8879952Z                 auto tmp97 = tmp75 && tmp96;
2023-01-11T21:01:51.8880079Z                 auto tmp98 = tmp97 ? tmp79 : tmp65;
2023-01-11T21:01:51.8880170Z                 auto tmp99 = tmp97 ? tmp91 : tmp65;
2023-01-11T21:01:51.8880259Z                 auto tmp100 = tmp82 * tmp93;
2023-01-11T21:01:51.8880397Z                 auto tmp101 = tmp97 ? tmp100 : tmp5;
2023-01-11T21:01:51.8880469Z                 out_ptr0[i0] = tmp24;
2023-01-11T21:01:51.8880552Z                 out_ptr1[i0] = tmp31;
2023-01-11T21:01:51.8880630Z                 out_ptr2[i0] = tmp39;
2023-01-11T21:01:51.8880706Z                 out_ptr3[i0] = tmp43;
2023-01-11T21:01:51.8880782Z                 out_ptr4[i0] = tmp66;
2023-01-11T21:01:51.8880856Z                 out_ptr5[i0] = tmp68;
2023-01-11T21:01:51.8880931Z                 out_ptr6[i0] = tmp74;
2023-01-11T21:01:51.8880993Z                 out_ptr7[i0] = tmp80;
2023-01-11T21:01:51.8881068Z                 out_ptr8[i0] = tmp81;
2023-01-11T21:01:51.8881142Z                 out_ptr9[i0] = tmp84;
2023-01-11T21:01:51.8881223Z                 out_ptr10[i0] = tmp90;
2023-01-11T21:01:51.8881301Z                 out_ptr11[i0] = tmp92;
2023-01-11T21:01:51.8881379Z                 out_ptr12[i0] = tmp95;
2023-01-11T21:01:51.8881456Z                 out_ptr13[i0] = tmp98;
2023-01-11T21:01:51.8881523Z                 out_ptr14[i0] = tmp99;
2023-01-11T21:01:51.8881604Z                 out_ptr15[i0] = tmp101;
2023-01-11T21:01:51.8881666Z             }
2023-01-11T21:01:51.8881727Z         }
2023-01-11T21:01:51.8881787Z     }
2023-01-11T21:01:51.8881861Z     #pragma GCC ivdep
2023-01-11T21:01:51.8881929Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.8881989Z     {
2023-01-11T21:01:51.8882065Z         #pragma GCC ivdep
2023-01-11T21:01:51.8882145Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.8882206Z         {
2023-01-11T21:01:51.8882283Z             #pragma GCC ivdep
2023-01-11T21:01:51.8882372Z             for(long i2=0; i2<123904; i2+=1)
2023-01-11T21:01:51.8882422Z             {
2023-01-11T21:01:51.8882486Z                 {
2023-01-11T21:01:51.8882552Z                     {
2023-01-11T21:01:51.8882659Z                         auto tmp2 = in_ptr0[(2*i2) + (247808*i0)];
2023-01-11T21:01:51.8882768Z                         auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)];
2023-01-11T21:01:51.8882875Z                         auto tmp51 = out_ptr0[i2 + (123904*i0)];
2023-01-11T21:01:51.8882979Z                         auto tmp53 = out_ptr1[i2 + (123904*i0)];
2023-01-11T21:01:51.8883068Z                         auto tmp56 = out_ptr2[i2 + (123904*i0)];
2023-01-11T21:01:51.8883171Z                         auto tmp59 = out_ptr3[i2 + (123904*i0)];
2023-01-11T21:01:51.8883276Z                         auto tmp0 = static_cast<long>(i0);
2023-01-11T21:01:51.8883612Z                         auto tmp1 = static_cast<long>(i1);
2023-01-11T21:01:51.8883773Z                         auto tmp3 = static_cast<float>(175.5);
2023-01-11T21:01:51.8883869Z                         auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.8883960Z                         auto tmp5 = tmp4 + tmp3;
2023-01-11T21:01:51.8884064Z                         auto tmp6 = std::floor(tmp5);
2023-01-11T21:01:51.8884156Z                         auto tmp7 = static_cast<float>(0);
2023-01-11T21:01:51.8884251Z                         auto tmp8 = tmp6 >= tmp7;
2023-01-11T21:01:51.8884358Z                         auto tmp9 = static_cast<float>(352);
2023-01-11T21:01:51.8884450Z                         auto tmp10 = tmp6 < tmp9;
2023-01-11T21:01:51.8884544Z                         auto tmp12 = tmp11 * tmp3;
2023-01-11T21:01:51.8884633Z                         auto tmp13 = tmp12 + tmp3;
2023-01-11T21:01:51.8884735Z                         auto tmp14 = std::floor(tmp13);
2023-01-11T21:01:51.8884815Z                         auto tmp15 = tmp14 >= tmp7;
2023-01-11T21:01:51.8884906Z                         auto tmp16 = tmp14 < tmp9;
2023-01-11T21:01:51.8885000Z                         auto tmp17 = tmp15 && tmp16;
2023-01-11T21:01:51.8885093Z                         auto tmp18 = tmp10 && tmp17;
2023-01-11T21:01:51.8885244Z                         auto tmp19 = tmp8 && tmp18;
2023-01-11T21:01:51.8885352Z                         auto tmp20 = static_cast<long>(tmp14);
2023-01-11T21:01:51.8885455Z                         auto tmp21 = static_cast<long>(0);
2023-01-11T21:01:51.8885577Z                         auto tmp22 = tmp19 ? tmp20 : tmp21;
2023-01-11T21:01:51.8885687Z                         auto tmp23 = static_cast<long>(tmp6);
2023-01-11T21:01:51.8885785Z                         auto tmp24 = tmp19 ? tmp23 : tmp21;
2023-01-11T21:01:51.8885916Z                         auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8886021Z                         auto tmp26 = static_cast<float>(1);
2023-01-11T21:01:51.8886113Z                         auto tmp27 = tmp6 + tmp26;
2023-01-11T21:01:51.8886206Z                         auto tmp28 = tmp27 >= tmp7;
2023-01-11T21:01:51.8886297Z                         auto tmp29 = tmp27 < tmp9;
2023-01-11T21:01:51.8886380Z                         auto tmp30 = tmp29 && tmp17;
2023-01-11T21:01:51.8886475Z                         auto tmp31 = tmp28 && tmp30;
2023-01-11T21:01:51.8886574Z                         auto tmp32 = tmp31 ? tmp20 : tmp21;
2023-01-11T21:01:51.8886682Z                         auto tmp33 = static_cast<long>(tmp27);
2023-01-11T21:01:51.8886783Z                         auto tmp34 = tmp31 ? tmp33 : tmp21;
2023-01-11T21:01:51.8886912Z                         auto tmp35 = in_ptr1[tmp34 + (352*tmp32) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8887005Z                         auto tmp36 = tmp14 + tmp26;
2023-01-11T21:01:51.8887094Z                         auto tmp37 = tmp36 >= tmp7;
2023-01-11T21:01:51.8887172Z                         auto tmp38 = tmp36 < tmp9;
2023-01-11T21:01:51.8887265Z                         auto tmp39 = tmp37 && tmp38;
2023-01-11T21:01:51.8887354Z                         auto tmp40 = tmp10 && tmp39;
2023-01-11T21:01:51.8887444Z                         auto tmp41 = tmp8 && tmp40;
2023-01-11T21:01:51.8887552Z                         auto tmp42 = static_cast<long>(tmp36);
2023-01-11T21:01:51.8887651Z                         auto tmp43 = tmp41 ? tmp42 : tmp21;
2023-01-11T21:01:51.8887749Z                         auto tmp44 = tmp41 ? tmp23 : tmp21;
2023-01-11T21:01:51.8887865Z                         auto tmp45 = in_ptr1[tmp44 + (352*tmp43) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8887959Z                         auto tmp46 = tmp29 && tmp39;
2023-01-11T21:01:51.8888050Z                         auto tmp47 = tmp28 && tmp46;
2023-01-11T21:01:51.8888148Z                         auto tmp48 = tmp47 ? tmp42 : tmp21;
2023-01-11T21:01:51.8888245Z                         auto tmp49 = tmp47 ? tmp33 : tmp21;
2023-01-11T21:01:51.8888369Z                         auto tmp50 = in_ptr1[tmp49 + (352*tmp48) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8888462Z                         auto tmp52 = tmp25 * tmp51;
2023-01-11T21:01:51.8888552Z                         auto tmp54 = tmp35 * tmp53;
2023-01-11T21:01:51.8888630Z                         auto tmp55 = tmp52 + tmp54;
2023-01-11T21:01:51.8888717Z                         auto tmp57 = tmp45 * tmp56;
2023-01-11T21:01:51.8888804Z                         auto tmp58 = tmp55 + tmp57;
2023-01-11T21:01:51.8888893Z                         auto tmp60 = tmp50 * tmp59;
2023-01-11T21:01:51.8888981Z                         auto tmp61 = tmp58 + tmp60;
2023-01-11T21:01:51.8889091Z                         in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp61;
2023-01-11T21:01:51.8889161Z                     }
2023-01-11T21:01:51.8889212Z                 }
2023-01-11T21:01:51.8889274Z             }
2023-01-11T21:01:51.8889335Z         }
2023-01-11T21:01:51.8889393Z     }
2023-01-11T21:01:51.8889467Z     #pragma GCC ivdep
2023-01-11T21:01:51.8889546Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.8889594Z     {
2023-01-11T21:01:51.8889669Z         #pragma GCC ivdep
2023-01-11T21:01:51.8889749Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.8889813Z         {
2023-01-11T21:01:51.8889919Z             #pragma GCC ivdep
2023-01-11T21:01:51.8890008Z             for(long i2=0; i2<123904; i2+=1)
2023-01-11T21:01:51.8890070Z             {
2023-01-11T21:01:51.8890122Z                 {
2023-01-11T21:01:51.8890214Z                     {
2023-01-11T21:01:51.8890319Z                         auto tmp2 = out_ptr5[i2 + (123904*i0)];
2023-01-11T21:01:51.8890422Z                         auto tmp3 = out_ptr4[i2 + (123904*i0)];
2023-01-11T21:01:51.8890524Z                         auto tmp5 = out_ptr6[i2 + (123904*i0)];
2023-01-11T21:01:51.8890623Z                         auto tmp7 = out_ptr8[i2 + (123904*i0)];
2023-01-11T21:01:51.8890721Z                         auto tmp8 = out_ptr7[i2 + (123904*i0)];
2023-01-11T21:01:51.8890813Z                         auto tmp10 = out_ptr9[i2 + (123904*i0)];
2023-01-11T21:01:51.8890916Z                         auto tmp13 = out_ptr11[i2 + (123904*i0)];
2023-01-11T21:01:51.8896313Z                         auto tmp14 = out_ptr10[i2 + (123904*i0)];
2023-01-11T21:01:51.8896453Z                         auto tmp16 = out_ptr12[i2 + (123904*i0)];
2023-01-11T21:01:51.8896562Z                         auto tmp19 = out_ptr14[i2 + (123904*i0)];
2023-01-11T21:01:51.8896670Z                         auto tmp20 = out_ptr13[i2 + (123904*i0)];
2023-01-11T21:01:51.8896760Z                         auto tmp22 = out_ptr15[i2 + (123904*i0)];
2023-01-11T21:01:51.8896865Z                         auto tmp0 = static_cast<long>(i0);
2023-01-11T21:01:51.8896968Z                         auto tmp1 = static_cast<long>(i1);
2023-01-11T21:01:51.8897097Z                         auto tmp4 = in_ptr1[tmp3 + (352*tmp2) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8897192Z                         auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:51.8897317Z                         auto tmp9 = in_ptr1[tmp8 + (352*tmp7) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8897416Z                         auto tmp11 = tmp9 * tmp10;
2023-01-11T21:01:51.8897506Z                         auto tmp12 = tmp6 + tmp11;
2023-01-11T21:01:51.8897624Z                         auto tmp15 = in_ptr1[tmp14 + (352*tmp13) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8897718Z                         auto tmp17 = tmp15 * tmp16;
2023-01-11T21:01:51.8897811Z                         auto tmp18 = tmp12 + tmp17;
2023-01-11T21:01:51.8897936Z                         auto tmp21 = in_ptr1[tmp20 + (352*tmp19) + (123904*tmp1) + (371712*tmp0)];
2023-01-11T21:01:51.8898026Z                         auto tmp23 = tmp21 * tmp22;
2023-01-11T21:01:51.8898114Z                         auto tmp24 = tmp18 + tmp23;
2023-01-11T21:01:51.8898223Z                         in_out_ptr1[i2 + (123904*i1) + (371712*i0)] = tmp24;
2023-01-11T21:01:51.8898277Z                     }
2023-01-11T21:01:51.8898342Z                 }
2023-01-11T21:01:51.8898406Z             }
2023-01-11T21:01:51.8898469Z         }
2023-01-11T21:01:51.8898528Z     }
2023-01-11T21:01:51.8898585Z }
2023-01-11T21:01:51.8898694Z ''')
2023-01-11T21:01:51.8898701Z 
2023-01-11T21:01:51.8898708Z 
2023-01-11T21:01:51.8898785Z async_compile.wait(globals())
2023-01-11T21:01:51.8898856Z del async_compile
2023-01-11T21:01:51.8898861Z 
2023-01-11T21:01:51.8898931Z def call(args):
2023-01-11T21:01:51.8899005Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8899077Z     args.clear()
2023-01-11T21:01:51.8899296Z     buf0 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8899510Z     buf2 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8899718Z     buf4 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8899913Z     buf6 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8900121Z     buf9 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8900333Z     buf10 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8900634Z     buf11 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8900842Z     buf12 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8901080Z     buf13 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8901294Z     buf14 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8901495Z     buf15 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8901687Z     buf16 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8901896Z     buf17 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8902095Z     buf19 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8902299Z     buf20 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8902509Z     buf21 = empty_strided((4, 352, 352), (123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8902737Z     buf1 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8902823Z     buf8 = buf1; del buf1  # reuse
2023-01-11T21:01:51.8903048Z     buf18 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8903134Z     buf22 = buf18; del buf18  # reuse
2023-01-11T21:01:51.8903674Z     kernel_cpp_0(c_void_p(buf8.data_ptr()), c_void_p(buf22.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(buf21.data_ptr()))
2023-01-11T21:01:51.8903746Z     del arg0_1
2023-01-11T21:01:51.8903813Z     del arg1_1
2023-01-11T21:01:51.8903893Z     return (buf8, buf22, )
2023-01-11T21:01:51.8903899Z 
2023-01-11T21:01:51.8903903Z 
2023-01-11T21:01:51.8903977Z if __name__ == "__main__":
2023-01-11T21:01:51.8904093Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8904214Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8904442Z     arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8904663Z     arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8904766Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8905038Z [2023-01-11 20:54:58,156] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201
2023-01-11T21:01:51.8905047Z 
2023-01-11T21:01:51.8905112Z ok (3.867s)
2023-01-11T21:01:51.8905559Z   test_hardsigmoid_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8905687Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8905944Z [2023-01-11 20:54:58,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202
2023-01-11T21:01:51.8906207Z [2023-01-11 20:54:59,960] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202
2023-01-11T21:01:51.8906213Z 
2023-01-11T21:01:51.8906306Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8906408Z import torch
2023-01-11T21:01:51.8906477Z import random
2023-01-11T21:01:51.8906580Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8906701Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8906734Z 
2023-01-11T21:01:51.8906815Z aten = torch.ops.aten
2023-01-11T21:01:51.8906950Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8907040Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8907047Z 
2023-01-11T21:01:51.8907051Z 
2023-01-11T21:01:51.8907185Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8907389Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8907507Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8907595Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8907693Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8907787Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8907848Z {
2023-01-11T21:01:51.8907927Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8907986Z     {
2023-01-11T21:01:51.8908123Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8908242Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.8908324Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8908456Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2023-01-11T21:01:51.8908564Z         auto tmp4 = at::vec::maximum(tmp2, tmp3);
2023-01-11T21:01:51.8908692Z         auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2023-01-11T21:01:51.8908794Z         auto tmp6 = at::vec::minimum(tmp4, tmp5);
2023-01-11T21:01:51.8908919Z         auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(6));
2023-01-11T21:01:51.8909000Z         auto tmp8 = tmp6 / tmp7;
2023-01-11T21:01:51.8909066Z         auto tmp9 = tmp2 + tmp1;
2023-01-11T21:01:51.8909174Z         auto tmp10 = at::vec::maximum(tmp9, tmp3);
2023-01-11T21:01:51.8909279Z         auto tmp11 = at::vec::minimum(tmp10, tmp5);
2023-01-11T21:01:51.8909360Z         auto tmp12 = tmp11 / tmp7;
2023-01-11T21:01:51.8909481Z         auto tmp13 = tmp0 - tmp1;
2023-01-11T21:01:51.8909562Z         auto tmp14 = tmp13 + tmp1;
2023-01-11T21:01:51.8909675Z         auto tmp15 = at::vec::maximum(tmp14, tmp3);
2023-01-11T21:01:51.8909775Z         auto tmp16 = at::vec::minimum(tmp15, tmp5);
2023-01-11T21:01:51.8909843Z         auto tmp17 = tmp16 / tmp7;
2023-01-11T21:01:51.8909929Z         tmp8.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8910018Z         tmp12.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8910106Z         tmp17.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8910168Z     }
2023-01-11T21:01:51.8910254Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8910320Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.8910380Z     {
2023-01-11T21:01:51.8910461Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8910561Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.8910641Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8910737Z         auto tmp3 = static_cast<float>(0.0);
2023-01-11T21:01:51.8910857Z         auto tmp4 = (tmp3 != tmp3) ? tmp3 : std::max(tmp2, tmp3);
2023-01-11T21:01:51.8910942Z         auto tmp5 = static_cast<float>(6.0);
2023-01-11T21:01:51.8911059Z         auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::min(tmp4, tmp5);
2023-01-11T21:01:51.8911155Z         auto tmp7 = static_cast<float>(6);
2023-01-11T21:01:51.8911237Z         auto tmp8 = tmp6 / tmp7;
2023-01-11T21:01:51.8911317Z         auto tmp9 = tmp2 + tmp1;
2023-01-11T21:01:51.8911434Z         auto tmp10 = (tmp3 != tmp3) ? tmp3 : std::max(tmp9, tmp3);
2023-01-11T21:01:51.8911551Z         auto tmp11 = (tmp5 != tmp5) ? tmp5 : std::min(tmp10, tmp5);
2023-01-11T21:01:51.8911635Z         auto tmp12 = tmp11 / tmp7;
2023-01-11T21:01:51.8911741Z         auto tmp13 = tmp0 - tmp1;
2023-01-11T21:01:51.8911822Z         auto tmp14 = tmp13 + tmp1;
2023-01-11T21:01:51.8911977Z         auto tmp15 = (tmp3 != tmp3) ? tmp3 : std::max(tmp14, tmp3);
2023-01-11T21:01:51.8912091Z         auto tmp16 = (tmp5 != tmp5) ? tmp5 : std::min(tmp15, tmp5);
2023-01-11T21:01:51.8912198Z         auto tmp17 = tmp16 / tmp7;
2023-01-11T21:01:51.8912275Z         out_ptr0[i0] = tmp8;
2023-01-11T21:01:51.8912351Z         out_ptr1[i0] = tmp12;
2023-01-11T21:01:51.8912413Z         out_ptr2[i0] = tmp17;
2023-01-11T21:01:51.8912475Z     }
2023-01-11T21:01:51.8912535Z }
2023-01-11T21:01:51.8912614Z ''')
2023-01-11T21:01:51.8912620Z 
2023-01-11T21:01:51.8912623Z 
2023-01-11T21:01:51.8912709Z async_compile.wait(globals())
2023-01-11T21:01:51.8912779Z del async_compile
2023-01-11T21:01:51.8912784Z 
2023-01-11T21:01:51.8912850Z def call(args):
2023-01-11T21:01:51.8913013Z     arg0_1, = args
2023-01-11T21:01:51.8913071Z     args.clear()
2023-01-11T21:01:51.8913267Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8913461Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8913645Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8913834Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8913900Z     del arg0_1
2023-01-11T21:01:51.8913981Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8913987Z 
2023-01-11T21:01:51.8913991Z 
2023-01-11T21:01:51.8914068Z if __name__ == "__main__":
2023-01-11T21:01:51.8914168Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8914289Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8914481Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8914589Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8914594Z 
2023-01-11T21:01:51.8914659Z ok (1.608s)
2023-01-11T21:01:51.8915097Z   test_hardswish_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8915227Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8915485Z [2023-01-11 20:55:00,027] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203
2023-01-11T21:01:51.8915747Z [2023-01-11 20:55:01,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203
2023-01-11T21:01:51.8915753Z 
2023-01-11T21:01:51.8915834Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8915901Z import torch
2023-01-11T21:01:51.8915970Z import random
2023-01-11T21:01:51.8916085Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8916206Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8916211Z 
2023-01-11T21:01:51.8916287Z aten = torch.ops.aten
2023-01-11T21:01:51.8916420Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8916498Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8916515Z 
2023-01-11T21:01:51.8916520Z 
2023-01-11T21:01:51.8916638Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8916842Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8916961Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8917065Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8917161Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8917254Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8917314Z {
2023-01-11T21:01:51.8917380Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8917441Z     {
2023-01-11T21:01:51.8917606Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8917735Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.8917820Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8917976Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2023-01-11T21:01:51.8918082Z         auto tmp4 = at::vec::maximum(tmp2, tmp3);
2023-01-11T21:01:51.8918206Z         auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2023-01-11T21:01:51.8918295Z         auto tmp6 = at::vec::minimum(tmp4, tmp5);
2023-01-11T21:01:51.8918378Z         auto tmp7 = tmp0 * tmp6;
2023-01-11T21:01:51.8918505Z         auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(6));
2023-01-11T21:01:51.8918588Z         auto tmp9 = tmp7 / tmp8;
2023-01-11T21:01:51.8918669Z         auto tmp10 = tmp2 + tmp1;
2023-01-11T21:01:51.8918774Z         auto tmp11 = at::vec::maximum(tmp10, tmp3);
2023-01-11T21:01:51.8918876Z         auto tmp12 = at::vec::minimum(tmp11, tmp5);
2023-01-11T21:01:51.8918960Z         auto tmp13 = tmp2 * tmp12;
2023-01-11T21:01:51.8919027Z         auto tmp14 = tmp13 / tmp8;
2023-01-11T21:01:51.8919146Z         auto tmp15 = tmp0 - tmp1;
2023-01-11T21:01:51.8919231Z         auto tmp16 = tmp15 + tmp1;
2023-01-11T21:01:51.8919335Z         auto tmp17 = at::vec::maximum(tmp16, tmp3);
2023-01-11T21:01:51.8919436Z         auto tmp18 = at::vec::minimum(tmp17, tmp5);
2023-01-11T21:01:51.8919520Z         auto tmp19 = tmp15 * tmp18;
2023-01-11T21:01:51.8919600Z         auto tmp20 = tmp19 / tmp8;
2023-01-11T21:01:51.8919674Z         tmp9.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8919759Z         tmp14.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8919846Z         tmp20.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8919910Z     }
2023-01-11T21:01:51.8919997Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8920075Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.8920136Z     {
2023-01-11T21:01:51.8920202Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8920298Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.8920382Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8920481Z         auto tmp3 = static_cast<float>(0.0);
2023-01-11T21:01:51.8920602Z         auto tmp4 = (tmp3 != tmp3) ? tmp3 : std::max(tmp2, tmp3);
2023-01-11T21:01:51.8920700Z         auto tmp5 = static_cast<float>(6.0);
2023-01-11T21:01:51.8920819Z         auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::min(tmp4, tmp5);
2023-01-11T21:01:51.8920886Z         auto tmp7 = tmp0 * tmp6;
2023-01-11T21:01:51.8920978Z         auto tmp8 = static_cast<float>(6);
2023-01-11T21:01:51.8921059Z         auto tmp9 = tmp7 / tmp8;
2023-01-11T21:01:51.8921140Z         auto tmp10 = tmp2 + tmp1;
2023-01-11T21:01:51.8921259Z         auto tmp11 = (tmp3 != tmp3) ? tmp3 : std::max(tmp10, tmp3);
2023-01-11T21:01:51.8921374Z         auto tmp12 = (tmp5 != tmp5) ? tmp5 : std::min(tmp11, tmp5);
2023-01-11T21:01:51.8921455Z         auto tmp13 = tmp2 * tmp12;
2023-01-11T21:01:51.8921525Z         auto tmp14 = tmp13 / tmp8;
2023-01-11T21:01:51.8921642Z         auto tmp15 = tmp0 - tmp1;
2023-01-11T21:01:51.8921721Z         auto tmp16 = tmp15 + tmp1;
2023-01-11T21:01:51.8921841Z         auto tmp17 = (tmp3 != tmp3) ? tmp3 : std::max(tmp16, tmp3);
2023-01-11T21:01:51.8921958Z         auto tmp18 = (tmp5 != tmp5) ? tmp5 : std::min(tmp17, tmp5);
2023-01-11T21:01:51.8922038Z         auto tmp19 = tmp15 * tmp18;
2023-01-11T21:01:51.8922117Z         auto tmp20 = tmp19 / tmp8;
2023-01-11T21:01:51.8922195Z         out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.8922259Z         out_ptr1[i0] = tmp14;
2023-01-11T21:01:51.8922333Z         out_ptr2[i0] = tmp20;
2023-01-11T21:01:51.8922393Z     }
2023-01-11T21:01:51.8922452Z }
2023-01-11T21:01:51.8922528Z ''')
2023-01-11T21:01:51.8922534Z 
2023-01-11T21:01:51.8922538Z 
2023-01-11T21:01:51.8922623Z async_compile.wait(globals())
2023-01-11T21:01:51.8922693Z del async_compile
2023-01-11T21:01:51.8922698Z 
2023-01-11T21:01:51.8922754Z def call(args):
2023-01-11T21:01:51.8922855Z     arg0_1, = args
2023-01-11T21:01:51.8922928Z     args.clear()
2023-01-11T21:01:51.8923121Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8923522Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8923782Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8923974Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8924028Z     del arg0_1
2023-01-11T21:01:51.8924109Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8924115Z 
2023-01-11T21:01:51.8924120Z 
2023-01-11T21:01:51.8924195Z if __name__ == "__main__":
2023-01-11T21:01:51.8924310Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8924435Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8924628Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8924739Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8924744Z 
2023-01-11T21:01:51.8924810Z ok (1.609s)
2023-01-11T21:01:51.8925249Z   test_hardtanh_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8925364Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8925624Z [2023-01-11 20:55:01,617] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204
2023-01-11T21:01:51.8925887Z [2023-01-11 20:55:03,143] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204
2023-01-11T21:01:51.8925893Z 
2023-01-11T21:01:51.8925987Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8926056Z import torch
2023-01-11T21:01:51.8926124Z import random
2023-01-11T21:01:51.8926237Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8926358Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8926365Z 
2023-01-11T21:01:51.8926430Z aten = torch.ops.aten
2023-01-11T21:01:51.8926561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8926652Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8926657Z 
2023-01-11T21:01:51.8926661Z 
2023-01-11T21:01:51.8926793Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8926996Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8927115Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8927212Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8927308Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8927388Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8927449Z {
2023-01-11T21:01:51.8927530Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8927589Z     {
2023-01-11T21:01:51.8927721Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8927919Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.0));
2023-01-11T21:01:51.8928024Z         auto tmp2 = at::vec::maximum(tmp0, tmp1);
2023-01-11T21:01:51.8928154Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2023-01-11T21:01:51.8928243Z         auto tmp4 = at::vec::minimum(tmp2, tmp3);
2023-01-11T21:01:51.8928374Z         auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8928456Z         auto tmp6 = tmp0 + tmp5;
2023-01-11T21:01:51.8928559Z         auto tmp7 = at::vec::maximum(tmp6, tmp1);
2023-01-11T21:01:51.8928662Z         auto tmp8 = at::vec::minimum(tmp7, tmp3);
2023-01-11T21:01:51.8928778Z         auto tmp9 = tmp0 - tmp5;
2023-01-11T21:01:51.8928950Z         auto tmp10 = at::vec::maximum(tmp9, tmp1);
2023-01-11T21:01:51.8929055Z         auto tmp11 = at::vec::minimum(tmp10, tmp3);
2023-01-11T21:01:51.8929130Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8929249Z         tmp8.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8929338Z         tmp11.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8929400Z     }
2023-01-11T21:01:51.8929485Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8929563Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.8929623Z     {
2023-01-11T21:01:51.8929691Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8929835Z         auto tmp1 = static_cast<float>(-1.0);
2023-01-11T21:01:51.8929954Z         auto tmp2 = (tmp1 != tmp1) ? tmp1 : std::max(tmp0, tmp1);
2023-01-11T21:01:51.8930053Z         auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:51.8930170Z         auto tmp4 = (tmp3 != tmp3) ? tmp3 : std::min(tmp2, tmp3);
2023-01-11T21:01:51.8930264Z         auto tmp5 = static_cast<float>(1);
2023-01-11T21:01:51.8930347Z         auto tmp6 = tmp0 + tmp5;
2023-01-11T21:01:51.8930450Z         auto tmp7 = (tmp1 != tmp1) ? tmp1 : std::max(tmp6, tmp1);
2023-01-11T21:01:51.8930563Z         auto tmp8 = (tmp3 != tmp3) ? tmp3 : std::min(tmp7, tmp3);
2023-01-11T21:01:51.8930686Z         auto tmp9 = tmp0 - tmp5;
2023-01-11T21:01:51.8930806Z         auto tmp10 = (tmp1 != tmp1) ? tmp1 : std::max(tmp9, tmp1);
2023-01-11T21:01:51.8930926Z         auto tmp11 = (tmp3 != tmp3) ? tmp3 : std::min(tmp10, tmp3);
2023-01-11T21:01:51.8931002Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.8931078Z         out_ptr1[i0] = tmp8;
2023-01-11T21:01:51.8931152Z         out_ptr2[i0] = tmp11;
2023-01-11T21:01:51.8931200Z     }
2023-01-11T21:01:51.8931259Z }
2023-01-11T21:01:51.8931335Z ''')
2023-01-11T21:01:51.8931341Z 
2023-01-11T21:01:51.8931345Z 
2023-01-11T21:01:51.8931432Z async_compile.wait(globals())
2023-01-11T21:01:51.8931503Z del async_compile
2023-01-11T21:01:51.8931508Z 
2023-01-11T21:01:51.8931577Z def call(args):
2023-01-11T21:01:51.8931646Z     arg0_1, = args
2023-01-11T21:01:51.8931703Z     args.clear()
2023-01-11T21:01:51.8931894Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8932088Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8932278Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8932465Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8932531Z     del arg0_1
2023-01-11T21:01:51.8932612Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8932618Z 
2023-01-11T21:01:51.8932622Z 
2023-01-11T21:01:51.8932696Z if __name__ == "__main__":
2023-01-11T21:01:51.8932796Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8932917Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8933110Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8933219Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.8933224Z 
2023-01-11T21:01:51.8933290Z ok (1.573s)
2023-01-11T21:01:51.8933736Z   test_horizonal_fusion1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8933864Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8934122Z [2023-01-11 20:55:03,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205
2023-01-11T21:01:51.8934387Z [2023-01-11 20:55:04,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205
2023-01-11T21:01:51.8934393Z 
2023-01-11T21:01:51.8934473Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8934573Z import torch
2023-01-11T21:01:51.8934641Z import random
2023-01-11T21:01:51.8934758Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8934905Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8934912Z 
2023-01-11T21:01:51.8934989Z aten = torch.ops.aten
2023-01-11T21:01:51.8935121Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8935212Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8935218Z 
2023-01-11T21:01:51.8935222Z 
2023-01-11T21:01:51.8935342Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8935546Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8935663Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8935767Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8935869Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8935968Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8936064Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8936157Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8936205Z {
2023-01-11T21:01:51.8936284Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.8936346Z     {
2023-01-11T21:01:51.8936479Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8936605Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8936687Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8936773Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8936821Z     }
2023-01-11T21:01:51.8936907Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8936990Z     for(long i0=2048; i0<2048; i0+=1)
2023-01-11T21:01:51.8937051Z     {
2023-01-11T21:01:51.8937130Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8937208Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8937287Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8937352Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8937414Z     }
2023-01-11T21:01:51.8937490Z     #pragma GCC ivdep
2023-01-11T21:01:51.8937567Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8937632Z     {
2023-01-11T21:01:51.8937707Z         #pragma GCC ivdep
2023-01-11T21:01:51.8937775Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:51.8937836Z         {
2023-01-11T21:01:51.8937917Z             for(long i2=0; i2<2; i2+=1)
2023-01-11T21:01:51.8937982Z             {
2023-01-11T21:01:51.8938127Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (16*i1) + (256*i0));
2023-01-11T21:01:51.8938252Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i1]);
2023-01-11T21:01:51.8938394Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (16*i1) + (256*i0));
2023-01-11T21:01:51.8938523Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.8938599Z                 auto tmp4 = tmp3 * tmp1;
2023-01-11T21:01:51.8938707Z                 tmp2.store(out_ptr1 + (8*i2) + (16*i1) + (256*i0));
2023-01-11T21:01:51.8938815Z                 tmp4.store(out_ptr2 + (8*i2) + (16*i1) + (256*i0));
2023-01-11T21:01:51.8938881Z             }
2023-01-11T21:01:51.8938973Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8939059Z             for(long i2=16; i2<16; i2+=1)
2023-01-11T21:01:51.8939122Z             {
2023-01-11T21:01:51.8939212Z                 auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)];
2023-01-11T21:01:51.8939298Z                 auto tmp1 = in_ptr2[i1];
2023-01-11T21:01:51.8939398Z                 auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)];
2023-01-11T21:01:51.8939526Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.8939610Z                 auto tmp4 = tmp3 * tmp1;
2023-01-11T21:01:51.8939707Z                 out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2;
2023-01-11T21:01:51.8939803Z                 out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4;
2023-01-11T21:01:51.8939885Z             }
2023-01-11T21:01:51.8939946Z         }
2023-01-11T21:01:51.8940007Z     }
2023-01-11T21:01:51.8940068Z }
2023-01-11T21:01:51.8940145Z ''')
2023-01-11T21:01:51.8940150Z 
2023-01-11T21:01:51.8940155Z 
2023-01-11T21:01:51.8940270Z async_compile.wait(globals())
2023-01-11T21:01:51.8940342Z del async_compile
2023-01-11T21:01:51.8940348Z 
2023-01-11T21:01:51.8940415Z def call(args):
2023-01-11T21:01:51.8940483Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8940554Z     args.clear()
2023-01-11T21:01:51.8940762Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8940970Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8941175Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8941410Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8941478Z     del arg0_1
2023-01-11T21:01:51.8941530Z     del arg1_1
2023-01-11T21:01:51.8941594Z     del arg2_1
2023-01-11T21:01:51.8941678Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8941683Z 
2023-01-11T21:01:51.8941687Z 
2023-01-11T21:01:51.8941764Z if __name__ == "__main__":
2023-01-11T21:01:51.8941880Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8942000Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8942208Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8942414Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8942603Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8942722Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8942730Z 
2023-01-11T21:01:51.8942798Z ok (1.564s)
2023-01-11T21:01:51.8943244Z   test_horizonal_fusion2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8943368Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8943627Z [2023-01-11 20:55:04,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206
2023-01-11T21:01:51.8943891Z [2023-01-11 20:55:06,261] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206
2023-01-11T21:01:51.8943896Z 
2023-01-11T21:01:51.8943987Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8944055Z import torch
2023-01-11T21:01:51.8944111Z import random
2023-01-11T21:01:51.8944226Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8944346Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8944352Z 
2023-01-11T21:01:51.8944431Z aten = torch.ops.aten
2023-01-11T21:01:51.8944567Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8944657Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8944666Z 
2023-01-11T21:01:51.8944671Z 
2023-01-11T21:01:51.8944801Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8945005Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8945122Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8945212Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8945315Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8945413Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8945506Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8945630Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8945692Z {
2023-01-11T21:01:51.8945772Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.8945821Z     {
2023-01-11T21:01:51.8945980Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8946111Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8946193Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8946280Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8946339Z     }
2023-01-11T21:01:51.8946425Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8946492Z     for(long i0=1024; i0<1024; i0+=1)
2023-01-11T21:01:51.8946553Z     {
2023-01-11T21:01:51.8946632Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8946727Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8946807Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8946880Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.8946942Z     }
2023-01-11T21:01:51.8947006Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.8947066Z     {
2023-01-11T21:01:51.8947191Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.8947320Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.8947400Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8947484Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8947543Z     }
2023-01-11T21:01:51.8947614Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8947693Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:51.8947753Z     {
2023-01-11T21:01:51.8947830Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.8947925Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.8948005Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8948068Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.8948127Z     }
2023-01-11T21:01:51.8948203Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.8948265Z     {
2023-01-11T21:01:51.8948389Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2023-01-11T21:01:51.8948516Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.8948596Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8948681Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8948727Z     }
2023-01-11T21:01:51.8948813Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8948894Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:51.8948955Z     {
2023-01-11T21:01:51.8949032Z         auto tmp0 = in_ptr2[i0];
2023-01-11T21:01:51.8949125Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.8949191Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8949266Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:51.8949325Z     }
2023-01-11T21:01:51.8949383Z }
2023-01-11T21:01:51.8949460Z ''')
2023-01-11T21:01:51.8949465Z 
2023-01-11T21:01:51.8949470Z 
2023-01-11T21:01:51.8949555Z async_compile.wait(globals())
2023-01-11T21:01:51.8949627Z del async_compile
2023-01-11T21:01:51.8949633Z 
2023-01-11T21:01:51.8949702Z def call(args):
2023-01-11T21:01:51.8949770Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8949839Z     args.clear()
2023-01-11T21:01:51.8950049Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8950243Z     buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8950438Z     buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8950673Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.8950740Z     del arg0_1
2023-01-11T21:01:51.8950793Z     del arg1_1
2023-01-11T21:01:51.8950858Z     del arg2_1
2023-01-11T21:01:51.8950938Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.8950943Z 
2023-01-11T21:01:51.8950947Z 
2023-01-11T21:01:51.8951057Z if __name__ == "__main__":
2023-01-11T21:01:51.8951171Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8951293Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8951526Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8951725Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8951906Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8952026Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8952032Z 
2023-01-11T21:01:51.8952099Z ok (1.554s)
2023-01-11T21:01:51.8952530Z   test_index1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8952659Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8953000Z [2023-01-11 20:55:06,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207
2023-01-11T21:01:51.8953269Z [2023-01-11 20:55:07,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207
2023-01-11T21:01:51.8953662Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8953786Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8954043Z [2023-01-11 20:55:07,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208
2023-01-11T21:01:51.8954306Z [2023-01-11 20:55:09,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208
2023-01-11T21:01:51.8954312Z 
2023-01-11T21:01:51.8954394Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8954462Z import torch
2023-01-11T21:01:51.8954532Z import random
2023-01-11T21:01:51.8954647Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8954765Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8954770Z 
2023-01-11T21:01:51.8954846Z aten = torch.ops.aten
2023-01-11T21:01:51.8954979Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8955056Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8955075Z 
2023-01-11T21:01:51.8955080Z 
2023-01-11T21:01:51.8955199Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8955402Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8955521Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8955627Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8955731Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8955830Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8955891Z {
2023-01-11T21:01:51.8955952Z     #pragma GCC ivdep
2023-01-11T21:01:51.8956032Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.8956092Z     {
2023-01-11T21:01:51.8956171Z         #pragma GCC ivdep
2023-01-11T21:01:51.8956250Z         for(long i1=0; i1<12; i1+=1)
2023-01-11T21:01:51.8956312Z         {
2023-01-11T21:01:51.8956374Z             {
2023-01-11T21:01:51.8956425Z                 {
2023-01-11T21:01:51.8956516Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8956605Z                     auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8956717Z                     auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)];
2023-01-11T21:01:51.8956840Z                     out_ptr0[i1 + (12*i0)] = tmp2;
2023-01-11T21:01:51.8956904Z                 }
2023-01-11T21:01:51.8956972Z             }
2023-01-11T21:01:51.8957020Z         }
2023-01-11T21:01:51.8957078Z     }
2023-01-11T21:01:51.8957137Z }
2023-01-11T21:01:51.8957274Z ''')
2023-01-11T21:01:51.8957281Z 
2023-01-11T21:01:51.8957285Z 
2023-01-11T21:01:51.8957375Z async_compile.wait(globals())
2023-01-11T21:01:51.8957445Z del async_compile
2023-01-11T21:01:51.8957450Z 
2023-01-11T21:01:51.8957520Z def call(args):
2023-01-11T21:01:51.8957587Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8957656Z     args.clear()
2023-01-11T21:01:51.8957855Z     buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8958043Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8958109Z     del arg0_1
2023-01-11T21:01:51.8958172Z     del arg1_1
2023-01-11T21:01:51.8958236Z     del arg2_1
2023-01-11T21:01:51.8958295Z     return (buf0, )
2023-01-11T21:01:51.8958300Z 
2023-01-11T21:01:51.8958317Z 
2023-01-11T21:01:51.8958379Z if __name__ == "__main__":
2023-01-11T21:01:51.8958490Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8958614Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8958817Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8959004Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8959189Z     arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8959310Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8959315Z 
2023-01-11T21:01:51.8959319Z 
2023-01-11T21:01:51.8959412Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8959468Z import torch
2023-01-11T21:01:51.8959536Z import random
2023-01-11T21:01:51.8959650Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8959772Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8959777Z 
2023-01-11T21:01:51.8959852Z aten = torch.ops.aten
2023-01-11T21:01:51.8959982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8960073Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8960078Z 
2023-01-11T21:01:51.8960082Z 
2023-01-11T21:01:51.8960200Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8960403Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8960520Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8960622Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8960731Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8960827Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8960886Z {
2023-01-11T21:01:51.8960960Z     #pragma GCC ivdep
2023-01-11T21:01:51.8961029Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.8961088Z     {
2023-01-11T21:01:51.8961167Z         #pragma GCC ivdep
2023-01-11T21:01:51.8961247Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.8961307Z         {
2023-01-11T21:01:51.8961386Z             #pragma GCC ivdep
2023-01-11T21:01:51.8961458Z             for(long i2=0; i2<12; i2+=1)
2023-01-11T21:01:51.8961521Z             {
2023-01-11T21:01:51.8961585Z                 {
2023-01-11T21:01:51.8961652Z                     {
2023-01-11T21:01:51.8961745Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.8961837Z                         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.8961948Z                         auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)];
2023-01-11T21:01:51.8962036Z                         out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2;
2023-01-11T21:01:51.8962102Z                     }
2023-01-11T21:01:51.8962165Z                 }
2023-01-11T21:01:51.8962227Z             }
2023-01-11T21:01:51.8962316Z         }
2023-01-11T21:01:51.8962374Z     }
2023-01-11T21:01:51.8962431Z }
2023-01-11T21:01:51.8962495Z ''')
2023-01-11T21:01:51.8962500Z 
2023-01-11T21:01:51.8962504Z 
2023-01-11T21:01:51.8962591Z async_compile.wait(globals())
2023-01-11T21:01:51.8962703Z del async_compile
2023-01-11T21:01:51.8962709Z 
2023-01-11T21:01:51.8962779Z def call(args):
2023-01-11T21:01:51.8962859Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8962926Z     args.clear()
2023-01-11T21:01:51.8963130Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8963316Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.8963509Z     del arg0_1
2023-01-11T21:01:51.8963603Z     del arg1_1
2023-01-11T21:01:51.8963692Z     del arg2_1
2023-01-11T21:01:51.8963789Z     return (buf0, )
2023-01-11T21:01:51.8963795Z 
2023-01-11T21:01:51.8963799Z 
2023-01-11T21:01:51.8963873Z if __name__ == "__main__":
2023-01-11T21:01:51.8963988Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8964109Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8964306Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8964496Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8964682Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8964803Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8964808Z 
2023-01-11T21:01:51.8964875Z ok (3.140s)
2023-01-11T21:01:51.8965306Z   test_index2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8965433Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8965700Z [2023-01-11 20:55:09,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209
2023-01-11T21:01:51.8965963Z [2023-01-11 20:55:11,008] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209
2023-01-11T21:01:51.8965969Z 
2023-01-11T21:01:51.8966061Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8966117Z import torch
2023-01-11T21:01:51.8966185Z import random
2023-01-11T21:01:51.8966299Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8966418Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8966423Z 
2023-01-11T21:01:51.8966498Z aten = torch.ops.aten
2023-01-11T21:01:51.8966630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8966719Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8966724Z 
2023-01-11T21:01:51.8966730Z 
2023-01-11T21:01:51.8966861Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8967051Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8967168Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.8967272Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.8967373Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8967468Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.8967528Z {
2023-01-11T21:01:51.8967602Z     #pragma GCC ivdep
2023-01-11T21:01:51.8967669Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.8967727Z     {
2023-01-11T21:01:51.8967803Z         #pragma GCC ivdep
2023-01-11T21:01:51.8967883Z         for(long i1=0; i1<64; i1+=1)
2023-01-11T21:01:51.8967944Z         {
2023-01-11T21:01:51.8968006Z             {
2023-01-11T21:01:51.8968057Z                 {
2023-01-11T21:01:51.8968147Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8968300Z                     auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2023-01-11T21:01:51.8968394Z                     out_ptr0[i1 + (64*i0)] = tmp1;
2023-01-11T21:01:51.8968457Z                 }
2023-01-11T21:01:51.8968553Z             }
2023-01-11T21:01:51.8968616Z         }
2023-01-11T21:01:51.8968663Z     }
2023-01-11T21:01:51.8968737Z     #pragma GCC ivdep
2023-01-11T21:01:51.8968815Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.8968875Z     {
2023-01-11T21:01:51.8968949Z         #pragma GCC ivdep
2023-01-11T21:01:51.8969028Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.8969088Z         {
2023-01-11T21:01:51.8969153Z             #pragma GCC ivdep
2023-01-11T21:01:51.8969233Z             for(long i2=0; i2<8; i2+=1)
2023-01-11T21:01:51.8969295Z             {
2023-01-11T21:01:51.8969362Z                 {
2023-01-11T21:01:51.8969426Z                     {
2023-01-11T21:01:51.8969518Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.8969630Z                         auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2023-01-11T21:01:51.8969718Z                         out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2023-01-11T21:01:51.8969783Z                     }
2023-01-11T21:01:51.8969848Z                 }
2023-01-11T21:01:51.8969909Z             }
2023-01-11T21:01:51.8969968Z         }
2023-01-11T21:01:51.8970029Z     }
2023-01-11T21:01:51.8970075Z }
2023-01-11T21:01:51.8970153Z ''')
2023-01-11T21:01:51.8970159Z 
2023-01-11T21:01:51.8970163Z 
2023-01-11T21:01:51.8970249Z async_compile.wait(globals())
2023-01-11T21:01:51.8970321Z del async_compile
2023-01-11T21:01:51.8970326Z 
2023-01-11T21:01:51.8970396Z def call(args):
2023-01-11T21:01:51.8970469Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.8970538Z     args.clear()
2023-01-11T21:01:51.8970748Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8970943Z     buf1 = empty_strided((8, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8971133Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.8971201Z     del arg0_1
2023-01-11T21:01:51.8971269Z     del arg1_1
2023-01-11T21:01:51.8971344Z     return (buf0, buf1, )
2023-01-11T21:01:51.8971349Z 
2023-01-11T21:01:51.8971353Z 
2023-01-11T21:01:51.8971427Z if __name__ == "__main__":
2023-01-11T21:01:51.8971539Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8971662Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8971854Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8972043Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8972158Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.8972163Z 
2023-01-11T21:01:51.8972230Z ok (1.606s)
2023-01-11T21:01:51.8972664Z   test_index3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8972793Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8973051Z [2023-01-11 20:55:11,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210
2023-01-11T21:01:51.8973267Z [2023-01-11 20:55:11,083] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.index
2023-01-11T21:01:51.8973528Z [2023-01-11 20:55:11,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210
2023-01-11T21:01:51.8973534Z 
2023-01-11T21:01:51.8973614Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8973684Z import torch
2023-01-11T21:01:51.8973753Z import random
2023-01-11T21:01:51.8973899Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8974018Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8974024Z 
2023-01-11T21:01:51.8974099Z aten = torch.ops.aten
2023-01-11T21:01:51.8974258Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8974351Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8974357Z 
2023-01-11T21:01:51.8974362Z 
2023-01-11T21:01:51.8974435Z async_compile.wait(globals())
2023-01-11T21:01:51.8974505Z del async_compile
2023-01-11T21:01:51.8974511Z 
2023-01-11T21:01:51.8974578Z def call(args):
2023-01-11T21:01:51.8974662Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8974731Z     args.clear()
2023-01-11T21:01:51.8974874Z     buf0 = aten.index(as_strided(arg0_1, (3, 4, 1, 4, 3), (192, 48, 0, 12, 1)), [None, arg1_1, None, arg2_1])
2023-01-11T21:01:51.8974941Z     del arg0_1
2023-01-11T21:01:51.8974993Z     del arg1_1
2023-01-11T21:01:51.8975057Z     del arg2_1
2023-01-11T21:01:51.8975125Z     buf1 = buf0
2023-01-11T21:01:51.8975230Z     assert_size_stride(buf1, (3, 3, 1, 3), (9, 3, 3, 1))
2023-01-11T21:01:51.8975294Z     del buf0
2023-01-11T21:01:51.8975363Z     return (buf1, )
2023-01-11T21:01:51.8975369Z 
2023-01-11T21:01:51.8975375Z 
2023-01-11T21:01:51.8975447Z if __name__ == "__main__":
2023-01-11T21:01:51.8975558Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8975666Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8975886Z     arg0_1 = rand_strided((3, 4, 4, 4, 3), (192, 48, 12, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8976076Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8976262Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8976386Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8976391Z 
2023-01-11T21:01:51.8976456Z ok (0.075s)
2023-01-11T21:01:51.8976896Z   test_index_put1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8977023Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8977281Z [2023-01-11 20:55:11,389] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211
2023-01-11T21:01:51.8977531Z [2023-01-11 20:55:12,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211
2023-01-11T21:01:51.8977930Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8978058Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8978314Z [2023-01-11 20:55:14,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212
2023-01-11T21:01:51.8978575Z [2023-01-11 20:55:16,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212
2023-01-11T21:01:51.8978581Z 
2023-01-11T21:01:51.8978673Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8978741Z import torch
2023-01-11T21:01:51.8978812Z import random
2023-01-11T21:01:51.8978925Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8979031Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8979037Z 
2023-01-11T21:01:51.8979114Z aten = torch.ops.aten
2023-01-11T21:01:51.8979247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8979338Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8979371Z 
2023-01-11T21:01:51.8979376Z 
2023-01-11T21:01:51.8979508Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8979712Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8979857Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8979962Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8980052Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8980149Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8980245Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8980339Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8980400Z {
2023-01-11T21:01:51.8980481Z     for(long i0=0; i0<1254400; i0+=1)
2023-01-11T21:01:51.8980541Z     {
2023-01-11T21:01:51.8980665Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8980797Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8980881Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8980970Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8981052Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8981116Z     }
2023-01-11T21:01:51.8981201Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8981278Z     for(long i0=10035200; i0<10035200; i0+=1)
2023-01-11T21:01:51.8981339Z     {
2023-01-11T21:01:51.8981417Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8981514Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8981594Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8981670Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.8981745Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.8981792Z     }
2023-01-11T21:01:51.8981868Z     #pragma GCC ivdep
2023-01-11T21:01:51.8981948Z     for(long i0=0; i0<601; i0+=1)
2023-01-11T21:01:51.8982008Z     {
2023-01-11T21:01:51.8982082Z         #pragma GCC ivdep
2023-01-11T21:01:51.8982165Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.8982231Z         {
2023-01-11T21:01:51.8982282Z             {
2023-01-11T21:01:51.8982343Z                 {
2023-01-11T21:01:51.8982441Z                     auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.8982541Z                     auto tmp1 = in_ptr2[i1 + (12544*i0)];
2023-01-11T21:01:51.8982645Z                     auto tmp2 = static_cast<long>(1);
2023-01-11T21:01:51.8982732Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.8982833Z                     auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.8982910Z                     auto tmp5 = tmp1 + tmp4;
2023-01-11T21:01:51.8983005Z                     out_ptr0[i1 + (12544*tmp0)] = tmp1;
2023-01-11T21:01:51.8983103Z                     out_ptr1[i1 + (12544*tmp3)] = tmp5;
2023-01-11T21:01:51.8983167Z                 }
2023-01-11T21:01:51.8983232Z             }
2023-01-11T21:01:51.8983293Z         }
2023-01-11T21:01:51.8983340Z     }
2023-01-11T21:01:51.8983423Z     for(long i0=0; i0<1254400; i0+=1)
2023-01-11T21:01:51.8983482Z     {
2023-01-11T21:01:51.8983612Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8983743Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8983824Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8983909Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8983970Z     }
2023-01-11T21:01:51.8984042Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8984130Z     for(long i0=10035200; i0<10035200; i0+=1)
2023-01-11T21:01:51.8984191Z     {
2023-01-11T21:01:51.8984272Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:51.8984365Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8984444Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8984507Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:51.8984566Z     }
2023-01-11T21:01:51.8984625Z }
2023-01-11T21:01:51.8984704Z ''')
2023-01-11T21:01:51.8984710Z 
2023-01-11T21:01:51.8984745Z 
2023-01-11T21:01:51.8984834Z async_compile.wait(globals())
2023-01-11T21:01:51.8984903Z del async_compile
2023-01-11T21:01:51.8984909Z 
2023-01-11T21:01:51.8984979Z def call(args):
2023-01-11T21:01:51.8985058Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8985151Z     args.clear()
2023-01-11T21:01:51.8985374Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8985594Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8985810Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8986043Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8986111Z     del arg0_1
2023-01-11T21:01:51.8986177Z     del arg1_1
2023-01-11T21:01:51.8986230Z     del arg2_1
2023-01-11T21:01:51.8986307Z     return (buf0, buf4, )
2023-01-11T21:01:51.8986312Z 
2023-01-11T21:01:51.8986316Z 
2023-01-11T21:01:51.8986390Z if __name__ == "__main__":
2023-01-11T21:01:51.8986505Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8986629Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8986849Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8987041Z     arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8987257Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8987377Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8987383Z 
2023-01-11T21:01:51.8987387Z 
2023-01-11T21:01:51.8987467Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8987536Z import torch
2023-01-11T21:01:51.8987607Z import random
2023-01-11T21:01:51.8987724Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8987843Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8987848Z 
2023-01-11T21:01:51.8987922Z aten = torch.ops.aten
2023-01-11T21:01:51.8988056Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8988134Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8988151Z 
2023-01-11T21:01:51.8988155Z 
2023-01-11T21:01:51.8988274Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8988476Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8988596Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8988701Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8988803Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8988899Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.8988994Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.8989076Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.8989135Z {
2023-01-11T21:01:51.8989216Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.8989279Z     {
2023-01-11T21:01:51.8989410Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8989541Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8989623Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8989708Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8989780Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8989839Z     }
2023-01-11T21:01:51.8989926Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8990006Z     for(long i0=8192; i0<8192; i0+=1)
2023-01-11T21:01:51.8990064Z     {
2023-01-11T21:01:51.8990142Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8990223Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8990303Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8990413Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.8990491Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.8990550Z     }
2023-01-11T21:01:51.8990625Z     #pragma GCC ivdep
2023-01-11T21:01:51.8990706Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.8990781Z     {
2023-01-11T21:01:51.8990857Z         #pragma GCC ivdep
2023-01-11T21:01:51.8990938Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.8991001Z         {
2023-01-11T21:01:51.8991063Z             {
2023-01-11T21:01:51.8991125Z                 {
2023-01-11T21:01:51.8991216Z                     auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.8991293Z                     auto tmp1 = in_ptr2[i0];
2023-01-11T21:01:51.8991393Z                     auto tmp2 = static_cast<long>(1);
2023-01-11T21:01:51.8991482Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.8991585Z                     auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.8991675Z                     auto tmp5 = tmp1 + tmp4;
2023-01-11T21:01:51.8991770Z                     out_ptr0[i1 + (8*tmp0)] = tmp1;
2023-01-11T21:01:51.8991862Z                     out_ptr1[i1 + (8*tmp3)] = tmp5;
2023-01-11T21:01:51.8991914Z                 }
2023-01-11T21:01:51.8991978Z             }
2023-01-11T21:01:51.8992043Z         }
2023-01-11T21:01:51.8992105Z     }
2023-01-11T21:01:51.8992183Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.8992245Z     {
2023-01-11T21:01:51.8992374Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:51.8992491Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.8992571Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8992658Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.8992719Z     }
2023-01-11T21:01:51.8992803Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8992974Z     for(long i0=8192; i0<8192; i0+=1)
2023-01-11T21:01:51.8993035Z     {
2023-01-11T21:01:51.8993103Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:51.8993198Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.8993279Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.8993354Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:51.8993415Z     }
2023-01-11T21:01:51.8993475Z }
2023-01-11T21:01:51.8993546Z ''')
2023-01-11T21:01:51.8993565Z 
2023-01-11T21:01:51.8993569Z 
2023-01-11T21:01:51.8993642Z async_compile.wait(globals())
2023-01-11T21:01:51.8993713Z del async_compile
2023-01-11T21:01:51.8993719Z 
2023-01-11T21:01:51.8993789Z def call(args):
2023-01-11T21:01:51.8993870Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.8993940Z     args.clear()
2023-01-11T21:01:51.8994148Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8994348Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8994531Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8994765Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.8994834Z     del arg0_1
2023-01-11T21:01:51.8994900Z     del arg1_1
2023-01-11T21:01:51.8994969Z     del arg2_1
2023-01-11T21:01:51.8995047Z     return (buf0, buf4, )
2023-01-11T21:01:51.8995052Z 
2023-01-11T21:01:51.8995057Z 
2023-01-11T21:01:51.8995130Z if __name__ == "__main__":
2023-01-11T21:01:51.8995242Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.8995351Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.8995555Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8995742Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.8995943Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.8996064Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.8996110Z 
2023-01-11T21:01:51.8996176Z ok (5.427s)
2023-01-11T21:01:51.8996643Z   test_index_put2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.8996770Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.8997030Z [2023-01-11 20:55:16,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213
2023-01-11T21:01:51.8997281Z [2023-01-11 20:55:18,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213
2023-01-11T21:01:51.8997299Z 
2023-01-11T21:01:51.8997379Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.8997447Z import torch
2023-01-11T21:01:51.8997519Z import random
2023-01-11T21:01:51.8997633Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.8997752Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.8997757Z 
2023-01-11T21:01:51.8997833Z aten = torch.ops.aten
2023-01-11T21:01:51.8997967Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.8998045Z async_compile = AsyncCompile()
2023-01-11T21:01:51.8998050Z 
2023-01-11T21:01:51.8998066Z 
2023-01-11T21:01:51.8998186Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.8998387Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.8998507Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.8998612Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.8998715Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.8998812Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.8998875Z {
2023-01-11T21:01:51.8998943Z     for(long i0=0; i0<156800; i0+=1)
2023-01-11T21:01:51.8999003Z     {
2023-01-11T21:01:51.8999136Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.8999227Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.8999286Z     }
2023-01-11T21:01:51.8999372Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.8999460Z     for(long i0=1254400; i0<1254400; i0+=1)
2023-01-11T21:01:51.8999507Z     {
2023-01-11T21:01:51.8999589Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.8999667Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.8999728Z     }
2023-01-11T21:01:51.8999802Z     #pragma GCC ivdep
2023-01-11T21:01:51.8999880Z     for(long i0=0; i0<600; i0+=1)
2023-01-11T21:01:51.8999928Z     {
2023-01-11T21:01:51.9000005Z         #pragma GCC ivdep
2023-01-11T21:01:51.9000086Z         for(long i1=0; i1<12544; i1+=1)
2023-01-11T21:01:51.9000148Z         {
2023-01-11T21:01:51.9000209Z             {
2023-01-11T21:01:51.9000273Z                 {
2023-01-11T21:01:51.9000364Z                     auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:51.9000450Z                     auto tmp1 = in_ptr2[i1 + (12544*i0)];
2023-01-11T21:01:51.9000549Z                     out_ptr0[i1 + (12544*tmp0)] += tmp1;
2023-01-11T21:01:51.9000614Z                 }
2023-01-11T21:01:51.9000679Z             }
2023-01-11T21:01:51.9000739Z         }
2023-01-11T21:01:51.9000800Z     }
2023-01-11T21:01:51.9000858Z }
2023-01-11T21:01:51.9000922Z ''')
2023-01-11T21:01:51.9000927Z 
2023-01-11T21:01:51.9000931Z 
2023-01-11T21:01:51.9001017Z async_compile.wait(globals())
2023-01-11T21:01:51.9001090Z del async_compile
2023-01-11T21:01:51.9001095Z 
2023-01-11T21:01:51.9001166Z def call(args):
2023-01-11T21:01:51.9001245Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9001313Z     args.clear()
2023-01-11T21:01:51.9001533Z     buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9001723Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9001807Z     del arg0_1
2023-01-11T21:01:51.9001871Z     del arg1_1
2023-01-11T21:01:51.9001937Z     del arg2_1
2023-01-11T21:01:51.9002052Z     return (buf0, )
2023-01-11T21:01:51.9002059Z 
2023-01-11T21:01:51.9002063Z 
2023-01-11T21:01:51.9002138Z if __name__ == "__main__":
2023-01-11T21:01:51.9002249Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9002369Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9002579Z     arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9002771Z     arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9002987Z     arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9003110Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9003118Z 
2023-01-11T21:01:51.9003182Z ok (2.082s)
2023-01-11T21:01:51.9003849Z   test_index_put3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9003981Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9004246Z [2023-01-11 20:55:18,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214
2023-01-11T21:01:51.9004509Z [2023-01-11 20:55:20,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214
2023-01-11T21:01:51.9004516Z 
2023-01-11T21:01:51.9004608Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9004664Z import torch
2023-01-11T21:01:51.9004735Z import random
2023-01-11T21:01:51.9004850Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9004972Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9004977Z 
2023-01-11T21:01:51.9005055Z aten = torch.ops.aten
2023-01-11T21:01:51.9005188Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9005278Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9005284Z 
2023-01-11T21:01:51.9005288Z 
2023-01-11T21:01:51.9005418Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9005610Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9005725Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9005830Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9005927Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9006021Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9006082Z {
2023-01-11T21:01:51.9006160Z     #pragma GCC ivdep
2023-01-11T21:01:51.9006229Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9006287Z     {
2023-01-11T21:01:51.9006363Z         #pragma GCC ivdep
2023-01-11T21:01:51.9006445Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.9006509Z         {
2023-01-11T21:01:51.9006586Z             #pragma GCC ivdep
2023-01-11T21:01:51.9006666Z             for(long i2=0; i2<2; i2+=1)
2023-01-11T21:01:51.9006717Z             {
2023-01-11T21:01:51.9006780Z                 {
2023-01-11T21:01:51.9006847Z                     {
2023-01-11T21:01:51.9006937Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9007038Z                         auto tmp1 = in_ptr1[i2 + (2*i0)];
2023-01-11T21:01:51.9007143Z                         out_ptr0[i2 + (2*tmp0) + (8*i0)] = tmp1;
2023-01-11T21:01:51.9007196Z                     }
2023-01-11T21:01:51.9007260Z                 }
2023-01-11T21:01:51.9007323Z             }
2023-01-11T21:01:51.9007386Z         }
2023-01-11T21:01:51.9007506Z     }
2023-01-11T21:01:51.9007585Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9007644Z     {
2023-01-11T21:01:51.9007765Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9007930Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9008013Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9008102Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9008162Z     }
2023-01-11T21:01:51.9008247Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9008326Z     for(long i0=8192; i0<8192; i0+=1)
2023-01-11T21:01:51.9008373Z     {
2023-01-11T21:01:51.9008452Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9008549Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9008629Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9008704Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.9008762Z     }
2023-01-11T21:01:51.9008835Z     #pragma GCC ivdep
2023-01-11T21:01:51.9008903Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9008961Z     {
2023-01-11T21:01:51.9009036Z         #pragma GCC ivdep
2023-01-11T21:01:51.9009117Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.9009178Z         {
2023-01-11T21:01:51.9009255Z             #pragma GCC ivdep
2023-01-11T21:01:51.9009332Z             for(long i2=0; i2<2; i2+=1)
2023-01-11T21:01:51.9009381Z             {
2023-01-11T21:01:51.9009445Z                 {
2023-01-11T21:01:51.9009510Z                     {
2023-01-11T21:01:51.9009603Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9009701Z                         auto tmp3 = in_ptr1[i2 + (2*i0)];
2023-01-11T21:01:51.9009802Z                         auto tmp1 = static_cast<long>(1);
2023-01-11T21:01:51.9009893Z                         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9009984Z                         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.9010074Z                         auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.9010182Z                         out_ptr1[i2 + (2*tmp2) + (8*i0)] = tmp5;
2023-01-11T21:01:51.9010250Z                     }
2023-01-11T21:01:51.9010312Z                 }
2023-01-11T21:01:51.9010373Z             }
2023-01-11T21:01:51.9010421Z         }
2023-01-11T21:01:51.9010483Z     }
2023-01-11T21:01:51.9010541Z }
2023-01-11T21:01:51.9010622Z ''')
2023-01-11T21:01:51.9010627Z 
2023-01-11T21:01:51.9010631Z 
2023-01-11T21:01:51.9010717Z async_compile.wait(globals())
2023-01-11T21:01:51.9010787Z del async_compile
2023-01-11T21:01:51.9010792Z 
2023-01-11T21:01:51.9010859Z def call(args):
2023-01-11T21:01:51.9010943Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9011001Z     args.clear()
2023-01-11T21:01:51.9011208Z     buf1 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9011392Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9011461Z     del arg0_1
2023-01-11T21:01:51.9011528Z     del arg1_1
2023-01-11T21:01:51.9011590Z     del arg2_1
2023-01-11T21:01:51.9011659Z     return (buf1, )
2023-01-11T21:01:51.9011665Z 
2023-01-11T21:01:51.9011669Z 
2023-01-11T21:01:51.9011731Z if __name__ == "__main__":
2023-01-11T21:01:51.9011844Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9011968Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9012175Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9012359Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9012562Z     arg2_1 = rand_strided((1024, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9012681Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9012686Z 
2023-01-11T21:01:51.9012750Z ok (1.637s)
2023-01-11T21:01:51.9013232Z   test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9013373Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9013631Z [2023-01-11 20:55:20,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215
2023-01-11T21:01:51.9013897Z [2023-01-11 20:55:21,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215
2023-01-11T21:01:51.9014296Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9014427Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9014680Z [2023-01-11 20:55:21,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216
2023-01-11T21:01:51.9014943Z [2023-01-11 20:55:23,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216
2023-01-11T21:01:51.9014950Z 
2023-01-11T21:01:51.9015042Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9015112Z import torch
2023-01-11T21:01:51.9015181Z import random
2023-01-11T21:01:51.9015282Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9015399Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9015405Z 
2023-01-11T21:01:51.9015482Z aten = torch.ops.aten
2023-01-11T21:01:51.9015616Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9015706Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9015711Z 
2023-01-11T21:01:51.9015717Z 
2023-01-11T21:01:51.9015848Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9016050Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9016170Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.9016262Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9016362Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9016462Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9016524Z {
2023-01-11T21:01:51.9016604Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9016662Z     {
2023-01-11T21:01:51.9016759Z         float g_tmp_buffer_in_ptr0[8] = {0};
2023-01-11T21:01:51.9016864Z         flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.9017004Z         auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2023-01-11T21:01:51.9017124Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:51.9017257Z         auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2023-01-11T21:01:51.9017378Z         auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2023-01-11T21:01:51.9017464Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9017525Z     }
2023-01-11T21:01:51.9017612Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9017679Z     for(long i0=8192; i0<8192; i0+=1)
2023-01-11T21:01:51.9017745Z     {
2023-01-11T21:01:51.9017824Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9017908Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:51.9017985Z         auto tmp2 = in_ptr2[i0];
2023-01-11T21:01:51.9018070Z         auto tmp3 = tmp0 ? tmp1 : tmp2;
2023-01-11T21:01:51.9018133Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.9018193Z     }
2023-01-11T21:01:51.9018250Z }
2023-01-11T21:01:51.9018326Z ''')
2023-01-11T21:01:51.9018331Z 
2023-01-11T21:01:51.9018335Z 
2023-01-11T21:01:51.9018421Z async_compile.wait(globals())
2023-01-11T21:01:51.9018492Z del async_compile
2023-01-11T21:01:51.9018526Z 
2023-01-11T21:01:51.9018595Z def call(args):
2023-01-11T21:01:51.9018674Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9018731Z     args.clear()
2023-01-11T21:01:51.9018963Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9019150Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9019219Z     del arg0_1
2023-01-11T21:01:51.9019283Z     del arg1_1
2023-01-11T21:01:51.9019345Z     del arg2_1
2023-01-11T21:01:51.9019414Z     return (buf0, )
2023-01-11T21:01:51.9019419Z 
2023-01-11T21:01:51.9019423Z 
2023-01-11T21:01:51.9019484Z if __name__ == "__main__":
2023-01-11T21:01:51.9019598Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9019722Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9019929Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9020129Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9020311Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9020434Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9020439Z 
2023-01-11T21:01:51.9020444Z 
2023-01-11T21:01:51.9020535Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9020591Z import torch
2023-01-11T21:01:51.9020660Z import random
2023-01-11T21:01:51.9020773Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9020896Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9020901Z 
2023-01-11T21:01:51.9020977Z aten = torch.ops.aten
2023-01-11T21:01:51.9021109Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9021197Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9021202Z 
2023-01-11T21:01:51.9021207Z 
2023-01-11T21:01:51.9021336Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9021529Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9021647Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.9021752Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9021855Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9021952Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9022012Z {
2023-01-11T21:01:51.9022092Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9022139Z     {
2023-01-11T21:01:51.9022236Z         float g_tmp_buffer_in_ptr0[8] = {0};
2023-01-11T21:01:51.9022353Z         flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.9022493Z         auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2023-01-11T21:01:51.9022623Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9022743Z         auto tmp2 = at::vec::Vectorized<float>(in_ptr2[0]);
2023-01-11T21:01:51.9022824Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9022945Z         auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0);
2023-01-11T21:01:51.9023022Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9023082Z     }
2023-01-11T21:01:51.9023169Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9023251Z     for(long i0=8192; i0<8192; i0+=1)
2023-01-11T21:01:51.9023311Z     {
2023-01-11T21:01:51.9023389Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9023468Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9023532Z         auto tmp2 = in_ptr2[0];
2023-01-11T21:01:51.9023610Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9023700Z         auto tmp4 = tmp0 ? tmp3 : tmp1;
2023-01-11T21:01:51.9023780Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.9023838Z     }
2023-01-11T21:01:51.9023895Z }
2023-01-11T21:01:51.9023969Z ''')
2023-01-11T21:01:51.9023974Z 
2023-01-11T21:01:51.9023979Z 
2023-01-11T21:01:51.9024086Z async_compile.wait(globals())
2023-01-11T21:01:51.9024156Z del async_compile
2023-01-11T21:01:51.9024162Z 
2023-01-11T21:01:51.9024229Z def call(args):
2023-01-11T21:01:51.9024309Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9024406Z     args.clear()
2023-01-11T21:01:51.9024612Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9024798Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9024864Z     del arg0_1
2023-01-11T21:01:51.9024916Z     del arg1_1
2023-01-11T21:01:51.9024979Z     del arg2_1
2023-01-11T21:01:51.9025049Z     return (buf0, )
2023-01-11T21:01:51.9025055Z 
2023-01-11T21:01:51.9025059Z 
2023-01-11T21:01:51.9025134Z if __name__ == "__main__":
2023-01-11T21:01:51.9025246Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9025367Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9025575Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9025760Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9025943Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9026062Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9026067Z 
2023-01-11T21:01:51.9026130Z ok (3.147s)
2023-01-11T21:01:51.9026579Z   test_index_put_fallback1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9026705Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9026963Z [2023-01-11 20:55:23,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217
2023-01-11T21:01:51.9027229Z [2023-01-11 20:55:24,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217
2023-01-11T21:01:51.9027628Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9027751Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9028004Z [2023-01-11 20:55:24,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218
2023-01-11T21:01:51.9028253Z [2023-01-11 20:55:24,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218
2023-01-11T21:01:51.9028258Z 
2023-01-11T21:01:51.9028351Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9028424Z import torch
2023-01-11T21:01:51.9028494Z import random
2023-01-11T21:01:51.9028605Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9028727Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9028732Z 
2023-01-11T21:01:51.9028809Z aten = torch.ops.aten
2023-01-11T21:01:51.9028931Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9029021Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9029026Z 
2023-01-11T21:01:51.9029031Z 
2023-01-11T21:01:51.9029162Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9029367Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9029486Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9029585Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9029643Z {
2023-01-11T21:01:51.9029716Z     #pragma GCC ivdep
2023-01-11T21:01:51.9029812Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.9029872Z     {
2023-01-11T21:01:51.9029932Z         {
2023-01-11T21:01:51.9029994Z             {
2023-01-11T21:01:51.9030081Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9030187Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.9030250Z             }
2023-01-11T21:01:51.9030299Z         }
2023-01-11T21:01:51.9030360Z     }
2023-01-11T21:01:51.9030420Z }
2023-01-11T21:01:51.9030497Z ''')
2023-01-11T21:01:51.9030502Z 
2023-01-11T21:01:51.9030506Z 
2023-01-11T21:01:51.9030592Z async_compile.wait(globals())
2023-01-11T21:01:51.9030664Z del async_compile
2023-01-11T21:01:51.9030669Z 
2023-01-11T21:01:51.9030736Z def call(args):
2023-01-11T21:01:51.9030803Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9030871Z     args.clear()
2023-01-11T21:01:51.9031064Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9031194Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9031263Z     del arg0_1
2023-01-11T21:01:51.9031366Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2023-01-11T21:01:51.9031432Z     del arg1_1
2023-01-11T21:01:51.9031485Z     del arg2_1
2023-01-11T21:01:51.9031556Z     return (buf0, )
2023-01-11T21:01:51.9031562Z 
2023-01-11T21:01:51.9031566Z 
2023-01-11T21:01:51.9031640Z if __name__ == "__main__":
2023-01-11T21:01:51.9031752Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9031872Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9032065Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9032249Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9032439Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9032546Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9032552Z 
2023-01-11T21:01:51.9032570Z 
2023-01-11T21:01:51.9032649Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9032717Z import torch
2023-01-11T21:01:51.9032788Z import random
2023-01-11T21:01:51.9032978Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9033102Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9033108Z 
2023-01-11T21:01:51.9033184Z aten = torch.ops.aten
2023-01-11T21:01:51.9033315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9033392Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9033398Z 
2023-01-11T21:01:51.9033402Z 
2023-01-11T21:01:51.9033537Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9033739Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9033858Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9033956Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9034015Z {
2023-01-11T21:01:51.9034091Z     #pragma GCC ivdep
2023-01-11T21:01:51.9034157Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.9034217Z     {
2023-01-11T21:01:51.9034279Z         {
2023-01-11T21:01:51.9034344Z             {
2023-01-11T21:01:51.9034432Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9034512Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.9034573Z             }
2023-01-11T21:01:51.9034621Z         }
2023-01-11T21:01:51.9034680Z     }
2023-01-11T21:01:51.9034743Z }
2023-01-11T21:01:51.9034821Z ''')
2023-01-11T21:01:51.9034826Z 
2023-01-11T21:01:51.9034830Z 
2023-01-11T21:01:51.9034916Z async_compile.wait(globals())
2023-01-11T21:01:51.9034986Z del async_compile
2023-01-11T21:01:51.9034992Z 
2023-01-11T21:01:51.9035059Z def call(args):
2023-01-11T21:01:51.9035125Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9035194Z     args.clear()
2023-01-11T21:01:51.9035382Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9035554Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9035622Z     del arg0_1
2023-01-11T21:01:51.9035723Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2023-01-11T21:01:51.9035789Z     del arg1_1
2023-01-11T21:01:51.9035869Z     del arg2_1
2023-01-11T21:01:51.9035941Z     return (buf0, )
2023-01-11T21:01:51.9035946Z 
2023-01-11T21:01:51.9035950Z 
2023-01-11T21:01:51.9036022Z if __name__ == "__main__":
2023-01-11T21:01:51.9036137Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9036259Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9036450Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9036634Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9036822Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9036929Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9036936Z 
2023-01-11T21:01:51.9037002Z ok (1.611s)
2023-01-11T21:01:51.9037455Z   test_index_put_fallback2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9037583Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9037846Z [2023-01-11 20:55:25,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219
2023-01-11T21:01:51.9038106Z [2023-01-11 20:55:26,535] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219
2023-01-11T21:01:51.9038502Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9038637Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9038891Z [2023-01-11 20:55:26,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220
2023-01-11T21:01:51.9039152Z [2023-01-11 20:55:26,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220
2023-01-11T21:01:51.9039157Z 
2023-01-11T21:01:51.9039250Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9039306Z import torch
2023-01-11T21:01:51.9039374Z import random
2023-01-11T21:01:51.9039490Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9039610Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9039616Z 
2023-01-11T21:01:51.9039692Z aten = torch.ops.aten
2023-01-11T21:01:51.9039822Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9039915Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9039920Z 
2023-01-11T21:01:51.9039924Z 
2023-01-11T21:01:51.9040057Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9040250Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9040367Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9040468Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9040531Z {
2023-01-11T21:01:51.9040606Z     #pragma GCC ivdep
2023-01-11T21:01:51.9040684Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:51.9040745Z     {
2023-01-11T21:01:51.9040794Z         {
2023-01-11T21:01:51.9040855Z             {
2023-01-11T21:01:51.9040946Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9041026Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.9041088Z             }
2023-01-11T21:01:51.9041147Z         }
2023-01-11T21:01:51.9041232Z     }
2023-01-11T21:01:51.9041290Z }
2023-01-11T21:01:51.9041371Z ''')
2023-01-11T21:01:51.9041377Z 
2023-01-11T21:01:51.9041381Z 
2023-01-11T21:01:51.9041468Z async_compile.wait(globals())
2023-01-11T21:01:51.9041540Z del async_compile
2023-01-11T21:01:51.9041585Z 
2023-01-11T21:01:51.9041656Z def call(args):
2023-01-11T21:01:51.9041743Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9041812Z     args.clear()
2023-01-11T21:01:51.9042001Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9042133Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9042199Z     del arg0_1
2023-01-11T21:01:51.9042316Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2023-01-11T21:01:51.9042381Z     del arg1_1
2023-01-11T21:01:51.9042446Z     del arg2_1
2023-01-11T21:01:51.9042509Z     del arg3_1
2023-01-11T21:01:51.9042565Z     return (buf0, )
2023-01-11T21:01:51.9042571Z 
2023-01-11T21:01:51.9042577Z 
2023-01-11T21:01:51.9042650Z if __name__ == "__main__":
2023-01-11T21:01:51.9042764Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9042886Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9043090Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9043276Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9043656Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9043879Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9043993Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9043999Z 
2023-01-11T21:01:51.9044003Z 
2023-01-11T21:01:51.9044097Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9044167Z import torch
2023-01-11T21:01:51.9044238Z import random
2023-01-11T21:01:51.9044351Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9044472Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9044477Z 
2023-01-11T21:01:51.9044552Z aten = torch.ops.aten
2023-01-11T21:01:51.9044669Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9044760Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9044765Z 
2023-01-11T21:01:51.9044770Z 
2023-01-11T21:01:51.9044901Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9045104Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9045220Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9045317Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9045379Z {
2023-01-11T21:01:51.9045453Z     #pragma GCC ivdep
2023-01-11T21:01:51.9045519Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:51.9045578Z     {
2023-01-11T21:01:51.9045642Z         {
2023-01-11T21:01:51.9045706Z             {
2023-01-11T21:01:51.9045797Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9045876Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.9045938Z             }
2023-01-11T21:01:51.9045985Z         }
2023-01-11T21:01:51.9046044Z     }
2023-01-11T21:01:51.9046105Z }
2023-01-11T21:01:51.9046183Z ''')
2023-01-11T21:01:51.9046188Z 
2023-01-11T21:01:51.9046192Z 
2023-01-11T21:01:51.9046278Z async_compile.wait(globals())
2023-01-11T21:01:51.9046348Z del async_compile
2023-01-11T21:01:51.9046353Z 
2023-01-11T21:01:51.9046425Z def call(args):
2023-01-11T21:01:51.9046501Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9046570Z     args.clear()
2023-01-11T21:01:51.9046770Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9046900Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9046965Z     del arg0_1
2023-01-11T21:01:51.9047082Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2023-01-11T21:01:51.9047231Z     del arg1_1
2023-01-11T21:01:51.9047282Z     del arg2_1
2023-01-11T21:01:51.9047346Z     del arg3_1
2023-01-11T21:01:51.9047416Z     return (buf0, )
2023-01-11T21:01:51.9047421Z 
2023-01-11T21:01:51.9047425Z 
2023-01-11T21:01:51.9047534Z if __name__ == "__main__":
2023-01-11T21:01:51.9047648Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9047768Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9047971Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9048158Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9048328Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9048508Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9048637Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9048643Z 
2023-01-11T21:01:51.9048710Z ok (1.611s)
2023-01-11T21:01:51.9049155Z   test_index_select_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9049280Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9049536Z [2023-01-11 20:55:26,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221
2023-01-11T21:01:51.9049800Z [2023-01-11 20:55:28,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221
2023-01-11T21:01:51.9050197Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9050325Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9050568Z [2023-01-11 20:55:28,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222
2023-01-11T21:01:51.9050828Z [2023-01-11 20:55:29,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222
2023-01-11T21:01:51.9050833Z 
2023-01-11T21:01:51.9050926Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9050995Z import torch
2023-01-11T21:01:51.9051065Z import random
2023-01-11T21:01:51.9051177Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9051296Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9051301Z 
2023-01-11T21:01:51.9051378Z aten = torch.ops.aten
2023-01-11T21:01:51.9051498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9051589Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9051594Z 
2023-01-11T21:01:51.9051600Z 
2023-01-11T21:01:51.9051731Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9051937Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9052054Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:51.9052156Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9052253Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9052348Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9052428Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.9052486Z {
2023-01-11T21:01:51.9052560Z     #pragma GCC ivdep
2023-01-11T21:01:51.9052640Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9052699Z     {
2023-01-11T21:01:51.9052774Z         #pragma GCC ivdep
2023-01-11T21:01:51.9052854Z         for(long i1=0; i1<64; i1+=1)
2023-01-11T21:01:51.9052932Z         {
2023-01-11T21:01:51.9052993Z             {
2023-01-11T21:01:51.9053058Z                 {
2023-01-11T21:01:51.9053148Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9053274Z                     auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2023-01-11T21:01:51.9053369Z                     out_ptr0[i1 + (64*i0)] = tmp1;
2023-01-11T21:01:51.9053419Z                 }
2023-01-11T21:01:51.9053479Z             }
2023-01-11T21:01:51.9053539Z         }
2023-01-11T21:01:51.9053602Z     }
2023-01-11T21:01:51.9053675Z     #pragma GCC ivdep
2023-01-11T21:01:51.9053752Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9053810Z     {
2023-01-11T21:01:51.9053873Z         #pragma GCC ivdep
2023-01-11T21:01:51.9053952Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9054013Z         {
2023-01-11T21:01:51.9054092Z             #pragma GCC ivdep
2023-01-11T21:01:51.9054173Z             for(long i2=0; i2<8; i2+=1)
2023-01-11T21:01:51.9054235Z             {
2023-01-11T21:01:51.9054299Z                 {
2023-01-11T21:01:51.9054351Z                     {
2023-01-11T21:01:51.9054443Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9054556Z                         auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2023-01-11T21:01:51.9054662Z                         out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2023-01-11T21:01:51.9054727Z                     }
2023-01-11T21:01:51.9054788Z                 }
2023-01-11T21:01:51.9054851Z             }
2023-01-11T21:01:51.9054900Z         }
2023-01-11T21:01:51.9054959Z     }
2023-01-11T21:01:51.9055033Z     #pragma GCC ivdep
2023-01-11T21:01:51.9055113Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9055174Z     {
2023-01-11T21:01:51.9055247Z         #pragma GCC ivdep
2023-01-11T21:01:51.9055313Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9055373Z         {
2023-01-11T21:01:51.9055451Z             #pragma GCC ivdep
2023-01-11T21:01:51.9055531Z             for(long i2=0; i2<4; i2+=1)
2023-01-11T21:01:51.9055594Z             {
2023-01-11T21:01:51.9055655Z                 {
2023-01-11T21:01:51.9055718Z                     {
2023-01-11T21:01:51.9055798Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9055889Z                         auto tmp1 = in_ptr0[i2];
2023-01-11T21:01:51.9056005Z                         auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2023-01-11T21:01:51.9056106Z                         out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2023-01-11T21:01:51.9056171Z                     }
2023-01-11T21:01:51.9056233Z                 }
2023-01-11T21:01:51.9056294Z             }
2023-01-11T21:01:51.9056341Z         }
2023-01-11T21:01:51.9056401Z     }
2023-01-11T21:01:51.9056459Z }
2023-01-11T21:01:51.9056536Z ''')
2023-01-11T21:01:51.9056542Z 
2023-01-11T21:01:51.9056546Z 
2023-01-11T21:01:51.9056633Z async_compile.wait(globals())
2023-01-11T21:01:51.9056702Z del async_compile
2023-01-11T21:01:51.9056707Z 
2023-01-11T21:01:51.9056775Z def call(args):
2023-01-11T21:01:51.9056835Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9056907Z     args.clear()
2023-01-11T21:01:51.9057111Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9057309Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9057504Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9057715Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.9057782Z     del arg0_1
2023-01-11T21:01:51.9057846Z     del arg1_1
2023-01-11T21:01:51.9057914Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.9057920Z 
2023-01-11T21:01:51.9057924Z 
2023-01-11T21:01:51.9058002Z if __name__ == "__main__":
2023-01-11T21:01:51.9058115Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9058241Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9058473Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9058660Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.9058800Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9058807Z 
2023-01-11T21:01:51.9058811Z 
2023-01-11T21:01:51.9058906Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9058963Z import torch
2023-01-11T21:01:51.9059031Z import random
2023-01-11T21:01:51.9059146Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9059266Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9059271Z 
2023-01-11T21:01:51.9059347Z aten = torch.ops.aten
2023-01-11T21:01:51.9059477Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9059566Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9059571Z 
2023-01-11T21:01:51.9059575Z 
2023-01-11T21:01:51.9059707Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9059899Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9060014Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9060123Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9060220Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9060315Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9060407Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.9060467Z {
2023-01-11T21:01:51.9060529Z     #pragma GCC ivdep
2023-01-11T21:01:51.9060606Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9060665Z     {
2023-01-11T21:01:51.9060742Z         #pragma GCC ivdep
2023-01-11T21:01:51.9060821Z         for(long i1=0; i1<64; i1+=1)
2023-01-11T21:01:51.9060882Z         {
2023-01-11T21:01:51.9060942Z             {
2023-01-11T21:01:51.9060992Z                 {
2023-01-11T21:01:51.9061082Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9061185Z                     auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2023-01-11T21:01:51.9061279Z                     out_ptr0[i1 + (64*i0)] = tmp1;
2023-01-11T21:01:51.9061342Z                 }
2023-01-11T21:01:51.9061412Z             }
2023-01-11T21:01:51.9061475Z         }
2023-01-11T21:01:51.9061522Z     }
2023-01-11T21:01:51.9061596Z     #pragma GCC ivdep
2023-01-11T21:01:51.9061674Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9061734Z     {
2023-01-11T21:01:51.9061808Z         #pragma GCC ivdep
2023-01-11T21:01:51.9061886Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9061934Z         {
2023-01-11T21:01:51.9062012Z             #pragma GCC ivdep
2023-01-11T21:01:51.9062094Z             for(long i2=0; i2<8; i2+=1)
2023-01-11T21:01:51.9062157Z             {
2023-01-11T21:01:51.9062219Z                 {
2023-01-11T21:01:51.9062284Z                     {
2023-01-11T21:01:51.9062378Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9062478Z                         auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2023-01-11T21:01:51.9062577Z                         out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2023-01-11T21:01:51.9062645Z                     }
2023-01-11T21:01:51.9062710Z                 }
2023-01-11T21:01:51.9062772Z             }
2023-01-11T21:01:51.9062833Z         }
2023-01-11T21:01:51.9062896Z     }
2023-01-11T21:01:51.9062956Z     #pragma GCC ivdep
2023-01-11T21:01:51.9063032Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9063093Z     {
2023-01-11T21:01:51.9063170Z         #pragma GCC ivdep
2023-01-11T21:01:51.9063247Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9063308Z         {
2023-01-11T21:01:51.9063372Z             #pragma GCC ivdep
2023-01-11T21:01:51.9063452Z             for(long i2=0; i2<4; i2+=1)
2023-01-11T21:01:51.9063519Z             {
2023-01-11T21:01:51.9063581Z                 {
2023-01-11T21:01:51.9063643Z                     {
2023-01-11T21:01:51.9063734Z                         auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9063855Z                         auto tmp1 = in_ptr0[i2];
2023-01-11T21:01:51.9063955Z                         auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2023-01-11T21:01:51.9064083Z                         out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2023-01-11T21:01:51.9064150Z                     }
2023-01-11T21:01:51.9064213Z                 }
2023-01-11T21:01:51.9064275Z             }
2023-01-11T21:01:51.9064335Z         }
2023-01-11T21:01:51.9064393Z     }
2023-01-11T21:01:51.9064439Z }
2023-01-11T21:01:51.9064516Z ''')
2023-01-11T21:01:51.9064522Z 
2023-01-11T21:01:51.9064526Z 
2023-01-11T21:01:51.9064616Z async_compile.wait(globals())
2023-01-11T21:01:51.9064689Z del async_compile
2023-01-11T21:01:51.9064694Z 
2023-01-11T21:01:51.9064761Z def call(args):
2023-01-11T21:01:51.9064834Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9064903Z     args.clear()
2023-01-11T21:01:51.9065092Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9065288Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9065480Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9065692Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.9065759Z     del arg0_1
2023-01-11T21:01:51.9065823Z     del arg1_1
2023-01-11T21:01:51.9065903Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.9065908Z 
2023-01-11T21:01:51.9065912Z 
2023-01-11T21:01:51.9065986Z if __name__ == "__main__":
2023-01-11T21:01:51.9066086Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9066207Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9066407Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9066597Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9066713Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9066719Z 
2023-01-11T21:01:51.9066784Z ok (3.215s)
2023-01-11T21:01:51.9067239Z   test_indirect_load_broadcast_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9067366Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9067625Z [2023-01-11 20:55:29,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223
2023-01-11T21:01:51.9067889Z [2023-01-11 20:55:31,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223
2023-01-11T21:01:51.9067895Z 
2023-01-11T21:01:51.9067977Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9068045Z import torch
2023-01-11T21:01:51.9068114Z import random
2023-01-11T21:01:51.9068229Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9068351Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9068356Z 
2023-01-11T21:01:51.9068433Z aten = torch.ops.aten
2023-01-11T21:01:51.9068564Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9068640Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9068658Z 
2023-01-11T21:01:51.9068663Z 
2023-01-11T21:01:51.9068781Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9068984Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9069101Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9069205Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9069306Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9069438Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9069498Z {
2023-01-11T21:01:51.9069560Z     #pragma GCC ivdep
2023-01-11T21:01:51.9069638Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.9069728Z     {
2023-01-11T21:01:51.9069806Z         #pragma GCC ivdep
2023-01-11T21:01:51.9069886Z         for(long i1=0; i1<21; i1+=1)
2023-01-11T21:01:51.9069947Z         {
2023-01-11T21:01:51.9070009Z             {
2023-01-11T21:01:51.9070059Z                 {
2023-01-11T21:01:51.9070158Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:51.9070249Z                     auto tmp2 = in_ptr2[i0];
2023-01-11T21:01:51.9070350Z                     auto tmp1 = in_ptr1[i1 + (512*tmp0)];
2023-01-11T21:01:51.9070439Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9070530Z                     out_ptr0[i1 + (21*i0)] = tmp3;
2023-01-11T21:01:51.9070595Z                 }
2023-01-11T21:01:51.9070644Z             }
2023-01-11T21:01:51.9070706Z         }
2023-01-11T21:01:51.9070765Z     }
2023-01-11T21:01:51.9070824Z }
2023-01-11T21:01:51.9070900Z ''')
2023-01-11T21:01:51.9070905Z 
2023-01-11T21:01:51.9070909Z 
2023-01-11T21:01:51.9070996Z async_compile.wait(globals())
2023-01-11T21:01:51.9071067Z del async_compile
2023-01-11T21:01:51.9071073Z 
2023-01-11T21:01:51.9071128Z def call(args):
2023-01-11T21:01:51.9071207Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9071278Z     args.clear()
2023-01-11T21:01:51.9071476Z     buf0 = empty_strided((32, 21), (21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9071662Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9071729Z     del arg0_1
2023-01-11T21:01:51.9071793Z     del arg1_1
2023-01-11T21:01:51.9071845Z     del arg2_1
2023-01-11T21:01:51.9071917Z     return (buf0, )
2023-01-11T21:01:51.9071922Z 
2023-01-11T21:01:51.9071927Z 
2023-01-11T21:01:51.9072000Z if __name__ == "__main__":
2023-01-11T21:01:51.9072119Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9072243Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9072441Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9072646Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9072837Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9073029Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9073035Z 
2023-01-11T21:01:51.9073102Z ok (1.809s)
2023-01-11T21:01:51.9073534Z   test_inf_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9073664Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9073929Z [2023-01-11 20:55:31,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224
2023-01-11T21:01:51.9074192Z [2023-01-11 20:55:33,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224
2023-01-11T21:01:51.9074198Z 
2023-01-11T21:01:51.9074290Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9074358Z import torch
2023-01-11T21:01:51.9074425Z import random
2023-01-11T21:01:51.9074525Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9074642Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9074647Z 
2023-01-11T21:01:51.9074726Z aten = torch.ops.aten
2023-01-11T21:01:51.9074858Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9074947Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9074986Z 
2023-01-11T21:01:51.9074990Z 
2023-01-11T21:01:51.9075122Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9075324Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9075480Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9075569Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9075666Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9075761Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.9075822Z {
2023-01-11T21:01:51.9075903Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.9075962Z     {
2023-01-11T21:01:51.9076098Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9076249Z         auto tmp1 = at::vec::Vectorized<float>(std::numeric_limits<float>::infinity());
2023-01-11T21:01:51.9076318Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9076535Z         auto tmp3 = at::vec::Vectorized<float>(-std::numeric_limits<float>::infinity());
2023-01-11T21:01:51.9076621Z         auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.9076701Z         auto tmp5 = tmp0 * tmp3;
2023-01-11T21:01:51.9076787Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9076872Z         tmp4.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9076954Z         tmp5.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.9077002Z     }
2023-01-11T21:01:51.9077089Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9077170Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.9077230Z     {
2023-01-11T21:01:51.9077307Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9077425Z         auto tmp1 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9077505Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9077711Z         auto tmp3 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9077790Z         auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:51.9077870Z         auto tmp5 = tmp0 * tmp3;
2023-01-11T21:01:51.9077948Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9078021Z         out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9078094Z         out_ptr2[i0] = tmp5;
2023-01-11T21:01:51.9078155Z     }
2023-01-11T21:01:51.9078201Z }
2023-01-11T21:01:51.9078276Z ''')
2023-01-11T21:01:51.9078283Z 
2023-01-11T21:01:51.9078287Z 
2023-01-11T21:01:51.9078377Z async_compile.wait(globals())
2023-01-11T21:01:51.9078451Z del async_compile
2023-01-11T21:01:51.9078456Z 
2023-01-11T21:01:51.9078523Z def call(args):
2023-01-11T21:01:51.9078592Z     arg0_1, = args
2023-01-11T21:01:51.9078663Z     args.clear()
2023-01-11T21:01:51.9078841Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9079031Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9079217Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9079404Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.9079473Z     del arg0_1
2023-01-11T21:01:51.9079553Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.9079558Z 
2023-01-11T21:01:51.9079563Z 
2023-01-11T21:01:51.9079635Z if __name__ == "__main__":
2023-01-11T21:01:51.9079749Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9079856Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9080045Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9080151Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9080156Z 
2023-01-11T21:01:51.9080223Z ok (1.539s)
2023-01-11T21:01:51.9080665Z   test_inplace_activations_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9080822Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9081123Z [2023-01-11 20:55:33,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225
2023-01-11T21:01:51.9081390Z [2023-01-11 20:55:34,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225
2023-01-11T21:01:51.9081396Z 
2023-01-11T21:01:51.9081487Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9081543Z import torch
2023-01-11T21:01:51.9081611Z import random
2023-01-11T21:01:51.9081723Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9081843Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9081849Z 
2023-01-11T21:01:51.9081926Z aten = torch.ops.aten
2023-01-11T21:01:51.9082057Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9082148Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9082155Z 
2023-01-11T21:01:51.9082161Z 
2023-01-11T21:01:51.9082293Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9082483Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9082604Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9082700Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9082796Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9082889Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.9082980Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.9083071Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:51.9083162Z                        float* __restrict__ out_ptr5,
2023-01-11T21:01:51.9083240Z                        float* __restrict__ out_ptr6)
2023-01-11T21:01:51.9083298Z {
2023-01-11T21:01:51.9083518Z     #pragma GCC ivdep
2023-01-11T21:01:51.9083638Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.9083721Z     {
2023-01-11T21:01:51.9083784Z         {
2023-01-11T21:01:51.9083834Z             {
2023-01-11T21:01:51.9083922Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9084025Z                 auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9084113Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9084211Z                 auto tmp3 = static_cast<float>(3);
2023-01-11T21:01:51.9084296Z                 auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9084394Z                 auto tmp5 = static_cast<float>(0.0);
2023-01-11T21:01:51.9084518Z                 auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::max(tmp4, tmp5);
2023-01-11T21:01:51.9084607Z                 auto tmp7 = static_cast<float>(6.0);
2023-01-11T21:01:51.9084725Z                 auto tmp8 = (tmp7 != tmp7) ? tmp7 : std::min(tmp6, tmp7);
2023-01-11T21:01:51.9084813Z                 auto tmp9 = tmp2 * tmp8;
2023-01-11T21:01:51.9084913Z                 auto tmp10 = static_cast<float>(6);
2023-01-11T21:01:51.9085002Z                 auto tmp11 = tmp9 / tmp10;
2023-01-11T21:01:51.9085162Z                 auto tmp12 = static_cast<float>(-1.0);
2023-01-11T21:01:51.9085289Z                 auto tmp13 = (tmp12 != tmp12) ? tmp12 : std::max(tmp2, tmp12);
2023-01-11T21:01:51.9085381Z                 auto tmp14 = static_cast<float>(1.0);
2023-01-11T21:01:51.9085507Z                 auto tmp15 = (tmp14 != tmp14) ? tmp14 : std::min(tmp13, tmp14);
2023-01-11T21:01:51.9085608Z                 auto tmp16 = static_cast<float>(0);
2023-01-11T21:01:51.9085696Z                 auto tmp17 = tmp2 > tmp16;
2023-01-11T21:01:51.9085799Z                 auto tmp18 = static_cast<float>(0.01);
2023-01-11T21:01:51.9085885Z                 auto tmp19 = tmp2 * tmp18;
2023-01-11T21:01:51.9085982Z                 auto tmp20 = tmp17 ? tmp2 : tmp19;
2023-01-11T21:01:51.9086125Z                 auto tmp21 = std::exp(-tmp2);
2023-01-11T21:01:51.9086199Z                 auto tmp22 = 1 / (1 + tmp21);
2023-01-11T21:01:51.9086346Z                 auto tmp23 = tmp2 * tmp22;
2023-01-11T21:01:51.9086446Z                 auto tmp24 = std::log1p(tmp2);
2023-01-11T21:01:51.9086547Z                 auto tmp25 = static_cast<bool>(0);
2023-01-11T21:01:51.9086683Z                 auto tmp26 = static_cast<float>(99.0);
2023-01-11T21:01:51.9086780Z                 auto tmp27 = tmp25 ? tmp26 : tmp2;
2023-01-11T21:01:51.9086875Z                 auto tmp28 = static_cast<bool>(1);
2023-01-11T21:01:51.9086953Z                 auto tmp29 = tmp28 ? tmp26 : tmp2;
2023-01-11T21:01:51.9087034Z                 out_ptr0[i0] = tmp11;
2023-01-11T21:01:51.9087111Z                 out_ptr1[i0] = tmp15;
2023-01-11T21:01:51.9087189Z                 out_ptr2[i0] = tmp20;
2023-01-11T21:01:51.9087265Z                 out_ptr3[i0] = tmp23;
2023-01-11T21:01:51.9087340Z                 out_ptr4[i0] = tmp24;
2023-01-11T21:01:51.9087415Z                 out_ptr5[i0] = tmp27;
2023-01-11T21:01:51.9087478Z                 out_ptr6[i0] = tmp29;
2023-01-11T21:01:51.9087543Z             }
2023-01-11T21:01:51.9087604Z         }
2023-01-11T21:01:51.9087666Z     }
2023-01-11T21:01:51.9087723Z }
2023-01-11T21:01:51.9087800Z ''')
2023-01-11T21:01:51.9087807Z 
2023-01-11T21:01:51.9087812Z 
2023-01-11T21:01:51.9087899Z async_compile.wait(globals())
2023-01-11T21:01:51.9087960Z del async_compile
2023-01-11T21:01:51.9087978Z 
2023-01-11T21:01:51.9088034Z def call(args):
2023-01-11T21:01:51.9088102Z     arg0_1, = args
2023-01-11T21:01:51.9088173Z     args.clear()
2023-01-11T21:01:51.9088365Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9088556Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9088742Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9088925Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9089095Z     buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9089279Z     buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9089463Z     buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9089745Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2023-01-11T21:01:51.9089813Z     del arg0_1
2023-01-11T21:01:51.9089920Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, )
2023-01-11T21:01:51.9089926Z 
2023-01-11T21:01:51.9089931Z 
2023-01-11T21:01:51.9090004Z if __name__ == "__main__":
2023-01-11T21:01:51.9090112Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9090236Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9090428Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9090533Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9090541Z 
2023-01-11T21:01:51.9090594Z ok (1.701s)
2023-01-11T21:01:51.9090924Z   test_inplace_add_cpu (__main__.CpuTests) ... [2023-01-11 20:55:34,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226
2023-01-11T21:01:51.9091191Z [2023-01-11 20:55:36,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226
2023-01-11T21:01:51.9091197Z 
2023-01-11T21:01:51.9091288Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9091357Z import torch
2023-01-11T21:01:51.9091424Z import random
2023-01-11T21:01:51.9091537Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9091656Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9091661Z 
2023-01-11T21:01:51.9091726Z aten = torch.ops.aten
2023-01-11T21:01:51.9091857Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9091946Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9091990Z 
2023-01-11T21:01:51.9091995Z 
2023-01-11T21:01:51.9092127Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9092330Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9092475Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9092577Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9092675Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9092722Z {
2023-01-11T21:01:51.9092801Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9092860Z     {
2023-01-11T21:01:51.9092991Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9093117Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9093199Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9093284Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9093331Z     }
2023-01-11T21:01:51.9093417Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9093499Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:51.9093558Z     {
2023-01-11T21:01:51.9093638Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9093718Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9093799Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9093862Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9093920Z     }
2023-01-11T21:01:51.9093978Z }
2023-01-11T21:01:51.9094055Z ''')
2023-01-11T21:01:51.9094060Z 
2023-01-11T21:01:51.9094064Z 
2023-01-11T21:01:51.9094150Z async_compile.wait(globals())
2023-01-11T21:01:51.9094220Z del async_compile
2023-01-11T21:01:51.9094226Z 
2023-01-11T21:01:51.9094293Z def call(args):
2023-01-11T21:01:51.9094353Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9094422Z     args.clear()
2023-01-11T21:01:51.9094580Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.9094647Z     del arg1_1
2023-01-11T21:01:51.9094718Z     return (arg0_1, )
2023-01-11T21:01:51.9094725Z 
2023-01-11T21:01:51.9094729Z 
2023-01-11T21:01:51.9094802Z if __name__ == "__main__":
2023-01-11T21:01:51.9094912Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9095033Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9095218Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9095411Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9095524Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9095529Z 
2023-01-11T21:01:51.9095593Z ok (1.518s)
2023-01-11T21:01:51.9095941Z   test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2023-01-11 20:55:36,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227
2023-01-11T21:01:51.9096204Z [2023-01-11 20:55:37,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227
2023-01-11T21:01:51.9096212Z 
2023-01-11T21:01:51.9096305Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9096373Z import torch
2023-01-11T21:01:51.9096429Z import random
2023-01-11T21:01:51.9096542Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9096663Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9096669Z 
2023-01-11T21:01:51.9096745Z aten = torch.ops.aten
2023-01-11T21:01:51.9096877Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9096967Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9096972Z 
2023-01-11T21:01:51.9096976Z 
2023-01-11T21:01:51.9097105Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9097308Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9097413Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9097516Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9097621Z                        const double* __restrict__ in_ptr1)
2023-01-11T21:01:51.9097709Z {
2023-01-11T21:01:51.9097786Z     #pragma GCC ivdep
2023-01-11T21:01:51.9097865Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9097923Z     {
2023-01-11T21:01:51.9097973Z         {
2023-01-11T21:01:51.9098062Z             {
2023-01-11T21:01:51.9098149Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9098235Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9098340Z                 auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:51.9098424Z                 auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:51.9098528Z                 auto tmp4 = static_cast<double>(tmp3);
2023-01-11T21:01:51.9098600Z                 auto tmp5 = tmp4 + tmp1;
2023-01-11T21:01:51.9098703Z                 auto tmp6 = static_cast<float>(tmp5);
2023-01-11T21:01:51.9098805Z                 auto tmp7 = static_cast<double>(tmp6);
2023-01-11T21:01:51.9098890Z                 auto tmp8 = tmp7 * tmp1;
2023-01-11T21:01:51.9098993Z                 auto tmp9 = static_cast<float>(tmp8);
2023-01-11T21:01:51.9099076Z                 in_out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.9099138Z             }
2023-01-11T21:01:51.9099187Z         }
2023-01-11T21:01:51.9099247Z     }
2023-01-11T21:01:51.9099305Z }
2023-01-11T21:01:51.9099383Z ''')
2023-01-11T21:01:51.9099388Z 
2023-01-11T21:01:51.9099392Z 
2023-01-11T21:01:51.9099480Z async_compile.wait(globals())
2023-01-11T21:01:51.9099552Z del async_compile
2023-01-11T21:01:51.9099557Z 
2023-01-11T21:01:51.9099625Z def call(args):
2023-01-11T21:01:51.9099685Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9099754Z     args.clear()
2023-01-11T21:01:51.9099947Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9100030Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9100190Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2023-01-11T21:01:51.9100256Z     del arg0_1
2023-01-11T21:01:51.9100319Z     del arg1_1
2023-01-11T21:01:51.9100378Z     return (buf1, )
2023-01-11T21:01:51.9100396Z 
2023-01-11T21:01:51.9100400Z 
2023-01-11T21:01:51.9100461Z if __name__ == "__main__":
2023-01-11T21:01:51.9100573Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9100695Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9100889Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9101083Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9101195Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9101200Z 
2023-01-11T21:01:51.9101264Z ok (1.563s)
2023-01-11T21:01:51.9101599Z   test_input_mutation1_cpu (__main__.CpuTests) ... [2023-01-11 20:55:37,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228
2023-01-11T21:01:51.9101796Z [2023-01-11 20:55:37,986] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2023-01-11T21:01:51.9101996Z [2023-01-11 20:55:37,988] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0')
2023-01-11T21:01:51.9102258Z [2023-01-11 20:55:39,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228
2023-01-11T21:01:51.9102264Z 
2023-01-11T21:01:51.9102358Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9102427Z import torch
2023-01-11T21:01:51.9102494Z import random
2023-01-11T21:01:51.9102606Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9102712Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9102729Z 
2023-01-11T21:01:51.9102792Z aten = torch.ops.aten
2023-01-11T21:01:51.9102924Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9103014Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9103018Z 
2023-01-11T21:01:51.9103023Z 
2023-01-11T21:01:51.9103151Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9103354Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9103502Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9103600Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9103722Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.9103771Z {
2023-01-11T21:01:51.9103849Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9103912Z     {
2023-01-11T21:01:51.9104044Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9104175Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9104256Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9104335Z         auto tmp3 = tmp2 * tmp2;
2023-01-11T21:01:51.9104448Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9104528Z         auto tmp5 = tmp2 + tmp4;
2023-01-11T21:01:51.9104606Z         auto tmp6 = tmp3 / tmp5;
2023-01-11T21:01:51.9104692Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9104777Z         tmp6.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.9104838Z     }
2023-01-11T21:01:51.9104924Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9104990Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9105050Z     {
2023-01-11T21:01:51.9105132Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:51.9105227Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9105308Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9105386Z         auto tmp3 = tmp2 * tmp2;
2023-01-11T21:01:51.9105479Z         auto tmp4 = static_cast<float>(2);
2023-01-11T21:01:51.9105546Z         auto tmp5 = tmp2 + tmp4;
2023-01-11T21:01:51.9105625Z         auto tmp6 = tmp3 / tmp5;
2023-01-11T21:01:51.9105702Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.9105776Z         out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.9105836Z     }
2023-01-11T21:01:51.9105894Z }
2023-01-11T21:01:51.9105960Z ''')
2023-01-11T21:01:51.9105977Z 
2023-01-11T21:01:51.9105982Z 
2023-01-11T21:01:51.9106056Z async_compile.wait(globals())
2023-01-11T21:01:51.9106128Z del async_compile
2023-01-11T21:01:51.9106134Z 
2023-01-11T21:01:51.9106203Z def call(args):
2023-01-11T21:01:51.9106270Z     arg0_1, = args
2023-01-11T21:01:51.9106339Z     args.clear()
2023-01-11T21:01:51.9106535Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9106700Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.9106755Z     del arg0_1
2023-01-11T21:01:51.9106825Z     return (buf2, )
2023-01-11T21:01:51.9106830Z 
2023-01-11T21:01:51.9106834Z 
2023-01-11T21:01:51.9106911Z if __name__ == "__main__":
2023-01-11T21:01:51.9107022Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9107142Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9107334Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9107440Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9107447Z 
2023-01-11T21:01:51.9107512Z ok (1.530s)
2023-01-11T21:01:51.9107832Z   test_input_mutation2_cpu (__main__.CpuTests) ... [2023-01-11 20:55:39,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229
2023-01-11T21:01:51.9108054Z [2023-01-11 20:55:39,554] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2023-01-11T21:01:51.9108146Z   target: aten.expand_copy.default
2023-01-11T21:01:51.9108233Z   args[0]: TensorBox(StorageBox(
2023-01-11T21:01:51.9108302Z     Pointwise(
2023-01-11T21:01:51.9108387Z       'cpu',
2023-01-11T21:01:51.9108459Z       torch.float32,
2023-01-11T21:01:51.9108542Z       tmp0 = constant(66.0, torch.float32)
2023-01-11T21:01:51.9108610Z       return tmp0
2023-01-11T21:01:51.9108670Z       ,
2023-01-11T21:01:51.9108737Z       ranges=[1],
2023-01-11T21:01:51.9108845Z       origins={_tensor_constant0, lift_fresh_copy}
2023-01-11T21:01:51.9108907Z     )
2023-01-11T21:01:51.9108965Z   ))
2023-01-11T21:01:51.9109049Z   args[1]: [64]
2023-01-11T21:01:51.9109312Z [2023-01-11 20:55:39,562] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expand_copy.default
2023-01-11T21:01:51.9109603Z [2023-01-11 20:55:41,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229
2023-01-11T21:01:51.9109610Z 
2023-01-11T21:01:51.9109703Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9109770Z import torch
2023-01-11T21:01:51.9109838Z import random
2023-01-11T21:01:51.9109951Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9110058Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9110075Z 
2023-01-11T21:01:51.9110139Z aten = torch.ops.aten
2023-01-11T21:01:51.9110274Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9110362Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9110367Z 
2023-01-11T21:01:51.9110372Z 
2023-01-11T21:01:51.9110503Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9110707Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9110824Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9110923Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9111018Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9111065Z {
2023-01-11T21:01:51.9111143Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9111202Z     {
2023-01-11T21:01:51.9111331Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9111463Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9111545Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9111632Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9111680Z     }
2023-01-11T21:01:51.9111765Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9111846Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9111906Z     {
2023-01-11T21:01:51.9111988Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9112081Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9112148Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9112225Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9112286Z     }
2023-01-11T21:01:51.9112344Z     {
2023-01-11T21:01:51.9112404Z         {
2023-01-11T21:01:51.9112503Z             auto tmp0 = static_cast<float>(66.0);
2023-01-11T21:01:51.9112579Z             out_ptr1[0] = tmp0;
2023-01-11T21:01:51.9112628Z         }
2023-01-11T21:01:51.9112687Z     }
2023-01-11T21:01:51.9112745Z }
2023-01-11T21:01:51.9112822Z ''')
2023-01-11T21:01:51.9112827Z 
2023-01-11T21:01:51.9112831Z 
2023-01-11T21:01:51.9113047Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.9113251Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9113369Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9113469Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9113518Z {
2023-01-11T21:01:51.9113595Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9113653Z     {
2023-01-11T21:01:51.9113782Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9113912Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9113993Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9114079Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9114127Z     }
2023-01-11T21:01:51.9114211Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9114289Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9114349Z     {
2023-01-11T21:01:51.9114427Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9114522Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.9114589Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9114665Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9114724Z     }
2023-01-11T21:01:51.9114781Z }
2023-01-11T21:01:51.9114895Z ''')
2023-01-11T21:01:51.9114901Z 
2023-01-11T21:01:51.9114905Z 
2023-01-11T21:01:51.9114991Z async_compile.wait(globals())
2023-01-11T21:01:51.9115061Z del async_compile
2023-01-11T21:01:51.9115067Z 
2023-01-11T21:01:51.9115135Z def call(args):
2023-01-11T21:01:51.9115224Z     primals_1, = args
2023-01-11T21:01:51.9115295Z     args.clear()
2023-01-11T21:01:51.9115491Z     buf0 = empty_strided((1, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9115681Z     buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9115848Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9115919Z     del primals_1
2023-01-11T21:01:51.9116044Z     buf2 = torch.ops.aten.expand_copy.default(buf1, [64])
2023-01-11T21:01:51.9116096Z     del buf1
2023-01-11T21:01:51.9116162Z     buf3 = buf2
2023-01-11T21:01:51.9116256Z     assert_size_stride(buf3, (64, ), (1, ))
2023-01-11T21:01:51.9116318Z     del buf2
2023-01-11T21:01:51.9116515Z     buf4 = empty_strided((1, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9116644Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.9116753Z     return (as_strided(buf3, (1, 64), (64, 1)), buf0, buf4, )
2023-01-11T21:01:51.9116759Z 
2023-01-11T21:01:51.9116763Z 
2023-01-11T21:01:51.9116836Z if __name__ == "__main__":
2023-01-11T21:01:51.9116934Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9117054Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9117254Z     primals_1 = rand_strided((1, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9117365Z     print_performance(lambda: call([primals_1]))
2023-01-11T21:01:51.9117371Z 
2023-01-11T21:01:51.9117435Z ok (1.634s)
2023-01-11T21:01:51.9117769Z   test_input_mutation3_cpu (__main__.CpuTests) ... [2023-01-11 20:55:41,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230
2023-01-11T21:01:51.9118033Z [2023-01-11 20:55:42,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230
2023-01-11T21:01:51.9118039Z 
2023-01-11T21:01:51.9118130Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9118188Z import torch
2023-01-11T21:01:51.9118256Z import random
2023-01-11T21:01:51.9118367Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9118486Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9118491Z 
2023-01-11T21:01:51.9118566Z aten = torch.ops.aten
2023-01-11T21:01:51.9118698Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9118786Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9118791Z 
2023-01-11T21:01:51.9118795Z 
2023-01-11T21:01:51.9118926Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9119115Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9119233Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9119332Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9119392Z {
2023-01-11T21:01:51.9119469Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9119529Z     {
2023-01-11T21:01:51.9119659Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9119776Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9119857Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9119943Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9120003Z     }
2023-01-11T21:01:51.9120086Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9120164Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9120223Z     {
2023-01-11T21:01:51.9120290Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9120384Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9120466Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9120542Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9120636Z     }
2023-01-11T21:01:51.9120712Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9120770Z     {
2023-01-11T21:01:51.9120885Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9121052Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9121135Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9121220Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9121277Z     }
2023-01-11T21:01:51.9121361Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9121437Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9121483Z     {
2023-01-11T21:01:51.9121562Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9121658Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.9121736Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9121812Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9121873Z     }
2023-01-11T21:01:51.9121948Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9121997Z     {
2023-01-11T21:01:51.9122123Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9122255Z         auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2023-01-11T21:01:51.9122343Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9122402Z     }
2023-01-11T21:01:51.9122486Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9122562Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9122609Z     {
2023-01-11T21:01:51.9122688Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9122816Z         auto tmp1 = std::exp(-tmp0);
2023-01-11T21:01:51.9122895Z         auto tmp2 = 1 / (1 + tmp1);
2023-01-11T21:01:51.9122971Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9123031Z     }
2023-01-11T21:01:51.9123105Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9123152Z     {
2023-01-11T21:01:51.9123280Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9123568Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:51.9123687Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9123807Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9123867Z     }
2023-01-11T21:01:51.9123954Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9124019Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9124078Z     {
2023-01-11T21:01:51.9124158Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9124253Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:51.9124332Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9124406Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9124453Z     }
2023-01-11T21:01:51.9124529Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9124588Z     {
2023-01-11T21:01:51.9124713Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9124841Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(4));
2023-01-11T21:01:51.9124921Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9125006Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9125066Z     }
2023-01-11T21:01:51.9125138Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9125215Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9125273Z     {
2023-01-11T21:01:51.9125353Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9125446Z         auto tmp1 = static_cast<float>(4);
2023-01-11T21:01:51.9125524Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9125588Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9125646Z     }
2023-01-11T21:01:51.9125720Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9125778Z     {
2023-01-11T21:01:51.9125900Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9126022Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:51.9126106Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9126153Z     }
2023-01-11T21:01:51.9126235Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9126368Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9126426Z     {
2023-01-11T21:01:51.9126505Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9126587Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.9126662Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9126743Z     }
2023-01-11T21:01:51.9126804Z }
2023-01-11T21:01:51.9126885Z ''')
2023-01-11T21:01:51.9126891Z 
2023-01-11T21:01:51.9126896Z 
2023-01-11T21:01:51.9126982Z async_compile.wait(globals())
2023-01-11T21:01:51.9127054Z del async_compile
2023-01-11T21:01:51.9127059Z 
2023-01-11T21:01:51.9127127Z def call(args):
2023-01-11T21:01:51.9127194Z     arg0_1, = args
2023-01-11T21:01:51.9127251Z     args.clear()
2023-01-11T21:01:51.9127384Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.9127480Z     return (as_strided(arg0_1, (64, ), (1, )), )
2023-01-11T21:01:51.9127486Z 
2023-01-11T21:01:51.9127490Z 
2023-01-11T21:01:51.9127563Z if __name__ == "__main__":
2023-01-11T21:01:51.9127677Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9127799Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9127998Z     arg0_1 = rand_strided((1, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9128106Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9128112Z 
2023-01-11T21:01:51.9128177Z ok (1.568s)
2023-01-11T21:01:51.9128501Z   test_input_mutation4_cpu (__main__.CpuTests) ... [2023-01-11 20:55:42,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231
2023-01-11T21:01:51.9128766Z [2023-01-11 20:55:44,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231
2023-01-11T21:01:51.9128771Z 
2023-01-11T21:01:51.9128862Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9128929Z import torch
2023-01-11T21:01:51.9128997Z import random
2023-01-11T21:01:51.9129110Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9129228Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9129236Z 
2023-01-11T21:01:51.9129312Z aten = torch.ops.aten
2023-01-11T21:01:51.9129432Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9129524Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9129529Z 
2023-01-11T21:01:51.9129533Z 
2023-01-11T21:01:51.9129663Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9129867Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9129984Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9130082Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9130142Z {
2023-01-11T21:01:51.9130207Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9130266Z     {
2023-01-11T21:01:51.9130395Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9130521Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:51.9130608Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9130667Z     }
2023-01-11T21:01:51.9130752Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9130831Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9130878Z     {
2023-01-11T21:01:51.9130961Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9131042Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.9131117Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9131177Z     }
2023-01-11T21:01:51.9131235Z }
2023-01-11T21:01:51.9131298Z ''')
2023-01-11T21:01:51.9131303Z 
2023-01-11T21:01:51.9131319Z 
2023-01-11T21:01:51.9131392Z async_compile.wait(globals())
2023-01-11T21:01:51.9131461Z del async_compile
2023-01-11T21:01:51.9131466Z 
2023-01-11T21:01:51.9131533Z def call(args):
2023-01-11T21:01:51.9131600Z     arg0_1, = args
2023-01-11T21:01:51.9131669Z     args.clear()
2023-01-11T21:01:51.9131800Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2023-01-11T21:01:51.9131873Z     return (arg0_1, )
2023-01-11T21:01:51.9131910Z 
2023-01-11T21:01:51.9131914Z 
2023-01-11T21:01:51.9131976Z if __name__ == "__main__":
2023-01-11T21:01:51.9132087Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9132267Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9132469Z     arg0_1 = rand_strided((1, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9132574Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9132580Z 
2023-01-11T21:01:51.9132645Z ok (1.514s)
2023-01-11T21:01:51.9133099Z   test_invalid_operand_issue1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9133225Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9133488Z [2023-01-11 20:55:44,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232
2023-01-11T21:01:51.9133739Z [2023-01-11 20:55:46,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232
2023-01-11T21:01:51.9133758Z 
2023-01-11T21:01:51.9133838Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9133906Z import torch
2023-01-11T21:01:51.9133975Z import random
2023-01-11T21:01:51.9134087Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9134204Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9134209Z 
2023-01-11T21:01:51.9134285Z aten = torch.ops.aten
2023-01-11T21:01:51.9134416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9134495Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9134501Z 
2023-01-11T21:01:51.9134517Z 
2023-01-11T21:01:51.9134637Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9134842Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9134958Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9135063Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.9135164Z                        const long* __restrict__ in_ptr2,
2023-01-11T21:01:51.9135267Z                        const float* __restrict__ in_ptr3,
2023-01-11T21:01:51.9135367Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9135413Z {
2023-01-11T21:01:51.9135488Z     #pragma GCC ivdep
2023-01-11T21:01:51.9135566Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9135625Z     {
2023-01-11T21:01:51.9135701Z         #pragma GCC ivdep
2023-01-11T21:01:51.9135782Z         for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:51.9135844Z         {
2023-01-11T21:01:51.9135909Z             #pragma GCC ivdep
2023-01-11T21:01:51.9135993Z             for(long i2=0; i2<768; i2+=1)
2023-01-11T21:01:51.9136057Z             {
2023-01-11T21:01:51.9136120Z                 {
2023-01-11T21:01:51.9136185Z                     {
2023-01-11T21:01:51.9136278Z                         auto tmp3 = in_ptr0[i0];
2023-01-11T21:01:51.9136370Z                         auto tmp8 = in_ptr2[i1 + (128*i0)];
2023-01-11T21:01:51.9136474Z                         auto tmp0 = static_cast<int>(i1);
2023-01-11T21:01:51.9136575Z                         auto tmp1 = static_cast<int>(0);
2023-01-11T21:01:51.9136667Z                         auto tmp2 = tmp0 == tmp1;
2023-01-11T21:01:51.9136768Z                         auto tmp4 = static_cast<int>(1);
2023-01-11T21:01:51.9136858Z                         auto tmp5 = tmp0 >= tmp4;
2023-01-11T21:01:51.9136938Z                         auto tmp6 = 0;
2023-01-11T21:01:51.9137011Z                         if(tmp5)
2023-01-11T21:01:51.9137066Z                         {
2023-01-11T21:01:51.9137236Z                             auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)];
2023-01-11T21:01:51.9137349Z                             tmp6 = tmp7;
2023-01-11T21:01:51.9137416Z                         }
2023-01-11T21:01:51.9137515Z                         auto tmp9 = tmp5 ? tmp6 : tmp8;
2023-01-11T21:01:51.9137641Z                         auto tmp10 = tmp2 ? tmp3 : tmp9;
2023-01-11T21:01:51.9137747Z                         auto tmp11 = in_ptr3[i2 + (768*tmp10)];
2023-01-11T21:01:51.9137839Z                         out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11;
2023-01-11T21:01:51.9137903Z                     }
2023-01-11T21:01:51.9137966Z                 }
2023-01-11T21:01:51.9138027Z             }
2023-01-11T21:01:51.9138088Z         }
2023-01-11T21:01:51.9138146Z     }
2023-01-11T21:01:51.9138192Z }
2023-01-11T21:01:51.9138267Z ''')
2023-01-11T21:01:51.9138272Z 
2023-01-11T21:01:51.9138277Z 
2023-01-11T21:01:51.9138362Z async_compile.wait(globals())
2023-01-11T21:01:51.9138432Z del async_compile
2023-01-11T21:01:51.9138438Z 
2023-01-11T21:01:51.9138505Z def call(args):
2023-01-11T21:01:51.9138602Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2023-01-11T21:01:51.9138674Z     args.clear()
2023-01-11T21:01:51.9138887Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9139088Z     kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9139156Z     del arg0_1
2023-01-11T21:01:51.9139221Z     del arg2_1
2023-01-11T21:01:51.9139286Z     del arg3_1
2023-01-11T21:01:51.9139348Z     del arg4_1
2023-01-11T21:01:51.9139418Z     return (buf0, )
2023-01-11T21:01:51.9139423Z 
2023-01-11T21:01:51.9139428Z 
2023-01-11T21:01:51.9139502Z if __name__ == "__main__":
2023-01-11T21:01:51.9139616Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9139725Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9139932Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9140131Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9140326Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9140514Z     arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9140703Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9140836Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2023-01-11T21:01:51.9140841Z 
2023-01-11T21:01:51.9140906Z ok (3.974s)
2023-01-11T21:01:51.9141326Z   test_isinf2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9141451Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9141712Z [2023-01-11 20:55:48,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233
2023-01-11T21:01:51.9141975Z [2023-01-11 20:55:49,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233
2023-01-11T21:01:51.9141981Z 
2023-01-11T21:01:51.9142074Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9142143Z import torch
2023-01-11T21:01:51.9142211Z import random
2023-01-11T21:01:51.9142323Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9142442Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9142447Z 
2023-01-11T21:01:51.9142512Z aten = torch.ops.aten
2023-01-11T21:01:51.9142644Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9142733Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9142738Z 
2023-01-11T21:01:51.9142743Z 
2023-01-11T21:01:51.9142874Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9143109Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9143227Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9143347Z                        bool* __restrict__ out_ptr0)
2023-01-11T21:01:51.9143406Z {
2023-01-11T21:01:51.9143469Z     #pragma GCC ivdep
2023-01-11T21:01:51.9143546Z     for(long i0=0; i0<5; i0+=1)
2023-01-11T21:01:51.9143608Z     {
2023-01-11T21:01:51.9143669Z         {
2023-01-11T21:01:51.9143730Z             {
2023-01-11T21:01:51.9143817Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9143902Z                 auto tmp1 = static_cast<long>(i0);
2023-01-11T21:01:51.9143998Z                 auto tmp2 = static_cast<long>(2);
2023-01-11T21:01:51.9144084Z                 auto tmp3 = tmp1 < tmp2;
2023-01-11T21:01:51.9144180Z                 auto tmp4 = static_cast<long>(1);
2023-01-11T21:01:51.9144265Z                 auto tmp5 = tmp1 < tmp4;
2023-01-11T21:01:51.9144368Z                 auto tmp6 = static_cast<float>(1.0);
2023-01-11T21:01:51.9144490Z                 auto tmp7 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9144584Z                 auto tmp8 = tmp5 ? tmp6 : tmp7;
2023-01-11T21:01:51.9144671Z                 auto tmp9 = static_cast<long>(3);
2023-01-11T21:01:51.9144757Z                 auto tmp10 = tmp1 < tmp9;
2023-01-11T21:01:51.9144859Z                 auto tmp11 = static_cast<float>(2.0);
2023-01-11T21:01:51.9144955Z                 auto tmp12 = static_cast<long>(4);
2023-01-11T21:01:51.9145042Z                 auto tmp13 = tmp1 < tmp12;
2023-01-11T21:01:51.9145263Z                 auto tmp14 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9145383Z                 auto tmp15 = std::numeric_limits<float>::quiet_NaN();
2023-01-11T21:01:51.9145481Z                 auto tmp16 = tmp13 ? tmp14 : tmp15;
2023-01-11T21:01:51.9145574Z                 auto tmp17 = tmp10 ? tmp11 : tmp16;
2023-01-11T21:01:51.9145671Z                 auto tmp18 = tmp3 ? tmp8 : tmp17;
2023-01-11T21:01:51.9145759Z                 auto tmp19 = tmp0 == tmp18;
2023-01-11T21:01:51.9145841Z                 out_ptr0[i0] = tmp19;
2023-01-11T21:01:51.9145904Z             }
2023-01-11T21:01:51.9145967Z         }
2023-01-11T21:01:51.9146015Z     }
2023-01-11T21:01:51.9146073Z }
2023-01-11T21:01:51.9146149Z ''')
2023-01-11T21:01:51.9146155Z 
2023-01-11T21:01:51.9146159Z 
2023-01-11T21:01:51.9146250Z async_compile.wait(globals())
2023-01-11T21:01:51.9146322Z del async_compile
2023-01-11T21:01:51.9146327Z 
2023-01-11T21:01:51.9146396Z def call(args):
2023-01-11T21:01:51.9146461Z     arg0_1, = args
2023-01-11T21:01:51.9146518Z     args.clear()
2023-01-11T21:01:51.9146703Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9146835Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9146899Z     del arg0_1
2023-01-11T21:01:51.9146969Z     return (buf0, )
2023-01-11T21:01:51.9146976Z 
2023-01-11T21:01:51.9146981Z 
2023-01-11T21:01:51.9147054Z if __name__ == "__main__":
2023-01-11T21:01:51.9147166Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9147285Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9147464Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9147571Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9147576Z 
2023-01-11T21:01:51.9147641Z ok (1.518s)
2023-01-11T21:01:51.9148072Z   test_isinf_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9148196Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9148486Z [2023-01-11 20:55:49,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234
2023-01-11T21:01:51.9148778Z [2023-01-11 20:55:51,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234
2023-01-11T21:01:51.9149178Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9149302Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9149557Z [2023-01-11 20:55:51,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235
2023-01-11T21:01:51.9149819Z [2023-01-11 20:55:52,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235
2023-01-11T21:01:51.9149827Z 
2023-01-11T21:01:51.9149907Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9149977Z import torch
2023-01-11T21:01:51.9150046Z import random
2023-01-11T21:01:51.9150159Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9150279Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9150284Z 
2023-01-11T21:01:51.9150361Z aten = torch.ops.aten
2023-01-11T21:01:51.9150493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9150570Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9150588Z 
2023-01-11T21:01:51.9150593Z 
2023-01-11T21:01:51.9150711Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9150911Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9151027Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9151123Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:51.9151215Z                        bool* __restrict__ out_ptr1)
2023-01-11T21:01:51.9151275Z {
2023-01-11T21:01:51.9151349Z     #pragma GCC ivdep
2023-01-11T21:01:51.9151415Z     for(long i0=0; i0<5; i0+=1)
2023-01-11T21:01:51.9151475Z     {
2023-01-11T21:01:51.9151537Z         {
2023-01-11T21:01:51.9151599Z             {
2023-01-11T21:01:51.9151686Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9151784Z                 auto tmp1 = std::isinf(tmp0);
2023-01-11T21:01:51.9151879Z                 auto tmp2 = std::isnan(tmp0);
2023-01-11T21:01:51.9151946Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9152025Z                 out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.9152085Z             }
2023-01-11T21:01:51.9152145Z         }
2023-01-11T21:01:51.9152206Z     }
2023-01-11T21:01:51.9152265Z }
2023-01-11T21:01:51.9152328Z ''')
2023-01-11T21:01:51.9152344Z 
2023-01-11T21:01:51.9152348Z 
2023-01-11T21:01:51.9152422Z async_compile.wait(globals())
2023-01-11T21:01:51.9152491Z del async_compile
2023-01-11T21:01:51.9152498Z 
2023-01-11T21:01:51.9152566Z def call(args):
2023-01-11T21:01:51.9152634Z     arg0_1, = args
2023-01-11T21:01:51.9152702Z     args.clear()
2023-01-11T21:01:51.9152972Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9153161Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9153322Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9153389Z     del arg0_1
2023-01-11T21:01:51.9153464Z     return (buf0, buf1, )
2023-01-11T21:01:51.9153470Z 
2023-01-11T21:01:51.9153474Z 
2023-01-11T21:01:51.9153548Z if __name__ == "__main__":
2023-01-11T21:01:51.9153659Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9153781Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9153972Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9154076Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9154114Z 
2023-01-11T21:01:51.9154119Z 
2023-01-11T21:01:51.9154198Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9154268Z import torch
2023-01-11T21:01:51.9154337Z import random
2023-01-11T21:01:51.9154477Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9154596Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9154602Z 
2023-01-11T21:01:51.9154677Z aten = torch.ops.aten
2023-01-11T21:01:51.9154808Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9154897Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9154903Z 
2023-01-11T21:01:51.9154907Z 
2023-01-11T21:01:51.9155025Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9155227Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9155347Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:51.9155441Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:51.9155537Z                        bool* __restrict__ out_ptr1)
2023-01-11T21:01:51.9155595Z {
2023-01-11T21:01:51.9155670Z     #pragma GCC ivdep
2023-01-11T21:01:51.9155736Z     for(long i0=0; i0<5; i0+=1)
2023-01-11T21:01:51.9155797Z     {
2023-01-11T21:01:51.9155860Z         {
2023-01-11T21:01:51.9155922Z             {
2023-01-11T21:01:51.9156009Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9156108Z                 auto tmp1 = std::isinf(tmp0);
2023-01-11T21:01:51.9156203Z                 auto tmp2 = std::isnan(tmp0);
2023-01-11T21:01:51.9156271Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9156348Z                 out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.9156408Z             }
2023-01-11T21:01:51.9156468Z         }
2023-01-11T21:01:51.9156526Z     }
2023-01-11T21:01:51.9156585Z }
2023-01-11T21:01:51.9156660Z ''')
2023-01-11T21:01:51.9156666Z 
2023-01-11T21:01:51.9156670Z 
2023-01-11T21:01:51.9156743Z async_compile.wait(globals())
2023-01-11T21:01:51.9156815Z del async_compile
2023-01-11T21:01:51.9156821Z 
2023-01-11T21:01:51.9156887Z def call(args):
2023-01-11T21:01:51.9156954Z     arg0_1, = args
2023-01-11T21:01:51.9157022Z     args.clear()
2023-01-11T21:01:51.9157207Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9157388Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9157547Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9157601Z     del arg0_1
2023-01-11T21:01:51.9157678Z     return (buf0, buf1, )
2023-01-11T21:01:51.9157684Z 
2023-01-11T21:01:51.9157688Z 
2023-01-11T21:01:51.9157760Z if __name__ == "__main__":
2023-01-11T21:01:51.9157870Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9157989Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9158180Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9158286Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9158291Z 
2023-01-11T21:01:51.9158355Z ok (3.034s)
2023-01-11T21:01:51.9158675Z   test_kernel_names_cpu (__main__.CpuTests) ... [2023-01-11 20:55:52,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236
2023-01-11T21:01:51.9158938Z [2023-01-11 20:55:54,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236
2023-01-11T21:01:51.9158945Z 
2023-01-11T21:01:51.9159036Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9159104Z import torch
2023-01-11T21:01:51.9159172Z import random
2023-01-11T21:01:51.9159283Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9159400Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9159406Z 
2023-01-11T21:01:51.9159481Z aten = torch.ops.aten
2023-01-11T21:01:51.9159600Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9159690Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9159726Z 
2023-01-11T21:01:51.9159730Z 
2023-01-11T21:01:51.9159863Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9160063Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9160223Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9160323Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9160383Z {
2023-01-11T21:01:51.9160449Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.9160510Z     {
2023-01-11T21:01:51.9160640Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9160771Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9160852Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9160938Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9160998Z     }
2023-01-11T21:01:51.9161085Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9161150Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.9161211Z     {
2023-01-11T21:01:51.9161288Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9161383Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.9161461Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9161538Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9161585Z     }
2023-01-11T21:01:51.9161644Z }
2023-01-11T21:01:51.9161721Z ''')
2023-01-11T21:01:51.9161727Z 
2023-01-11T21:01:51.9161731Z 
2023-01-11T21:01:51.9161817Z async_compile.wait(globals())
2023-01-11T21:01:51.9161887Z del async_compile
2023-01-11T21:01:51.9161892Z 
2023-01-11T21:01:51.9161960Z def call(args):
2023-01-11T21:01:51.9162026Z     arg0_1, = args
2023-01-11T21:01:51.9162094Z     args.clear()
2023-01-11T21:01:51.9162273Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9162402Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9162469Z     del arg0_1
2023-01-11T21:01:51.9162542Z     return (buf0, )
2023-01-11T21:01:51.9162547Z 
2023-01-11T21:01:51.9162552Z 
2023-01-11T21:01:51.9162625Z if __name__ == "__main__":
2023-01-11T21:01:51.9162737Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9162858Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9163038Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9163143Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9163148Z 
2023-01-11T21:01:51.9163213Z ok (1.526s)
2023-01-11T21:01:51.9163865Z   test_kwargs_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9163993Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9164254Z [2023-01-11 20:55:54,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237
2023-01-11T21:01:51.9164476Z [2023-01-11 20:55:54,288] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2023-01-11T21:01:51.9164584Z   target: aten._histogramdd_bin_edges.default
2023-01-11T21:01:51.9164671Z   args[0]: TensorBox(StorageBox(
2023-01-11T21:01:51.9164898Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2023-01-11T21:01:51.9164959Z   ))
2023-01-11T21:01:51.9165026Z   args[1]: [3, 3]
2023-01-11T21:01:51.9165171Z   kwargs: {'weight': TensorBox(StorageBox(
2023-01-11T21:01:51.9165402Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2023-01-11T21:01:51.9165462Z   ))}
2023-01-11T21:01:51.9165735Z [2023-01-11 20:55:54,305] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_bin_edges.default
2023-01-11T21:01:51.9166009Z [2023-01-11 20:55:54,306] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2023-01-11T21:01:51.9166107Z   target: aten._histogramdd_from_bin_cts.default
2023-01-11T21:01:51.9166195Z   args[0]: TensorBox(StorageBox(
2023-01-11T21:01:51.9166467Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2023-01-11T21:01:51.9166529Z   ))
2023-01-11T21:01:51.9166596Z   args[1]: [3, 3]
2023-01-11T21:01:51.9166740Z   kwargs: {'weight': TensorBox(StorageBox(
2023-01-11T21:01:51.9166966Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2023-01-11T21:01:51.9167014Z   ))}
2023-01-11T21:01:51.9167291Z [2023-01-11 20:55:54,322] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_from_bin_cts.default
2023-01-11T21:01:51.9167553Z [2023-01-11 20:55:54,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237
2023-01-11T21:01:51.9167562Z 
2023-01-11T21:01:51.9167658Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9167726Z import torch
2023-01-11T21:01:51.9167795Z import random
2023-01-11T21:01:51.9167909Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9168028Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9168034Z 
2023-01-11T21:01:51.9168098Z aten = torch.ops.aten
2023-01-11T21:01:51.9168229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9168319Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9168325Z 
2023-01-11T21:01:51.9168329Z 
2023-01-11T21:01:51.9168414Z async_compile.wait(globals())
2023-01-11T21:01:51.9168484Z del async_compile
2023-01-11T21:01:51.9168489Z 
2023-01-11T21:01:51.9168558Z def call(args):
2023-01-11T21:01:51.9168631Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9168699Z     args.clear()
2023-01-11T21:01:51.9168837Z     buf0 = torch.ops.aten._histogramdd_bin_edges.default(arg0_1, [3, 3], weight=arg1_1)
2023-01-11T21:01:51.9168907Z     buf1 = buf0[0]
2023-01-11T21:01:51.9169002Z     assert_size_stride(buf1, (4, ), (1, ))
2023-01-11T21:01:51.9169070Z     buf2 = buf0[1]
2023-01-11T21:01:51.9169161Z     assert_size_stride(buf2, (4, ), (1, ))
2023-01-11T21:01:51.9169225Z     del buf0
2023-01-11T21:01:51.9169378Z     buf3 = torch.ops.aten._histogramdd_from_bin_cts.default(arg0_1, [3, 3], weight=arg1_1)
2023-01-11T21:01:51.9169432Z     del arg0_1
2023-01-11T21:01:51.9169496Z     del arg1_1
2023-01-11T21:01:51.9169562Z     buf4 = buf3
2023-01-11T21:01:51.9169658Z     assert_size_stride(buf4, (3, 3), (3, 1))
2023-01-11T21:01:51.9169721Z     del buf3
2023-01-11T21:01:51.9169802Z     return (buf4, buf1, buf2, )
2023-01-11T21:01:51.9169807Z 
2023-01-11T21:01:51.9169811Z 
2023-01-11T21:01:51.9169885Z if __name__ == "__main__":
2023-01-11T21:01:51.9169984Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9170106Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9170304Z     arg0_1 = rand_strided((4, 2), (2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9170498Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9170611Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9170618Z 
2023-01-11T21:01:51.9170684Z ok (0.078s)
2023-01-11T21:01:51.9171116Z   test_l1_loss_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9171240Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9171496Z [2023-01-11 20:55:54,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238
2023-01-11T21:01:51.9171744Z [2023-01-11 20:55:55,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238
2023-01-11T21:01:51.9171801Z 
2023-01-11T21:01:51.9171882Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9171949Z import torch
2023-01-11T21:01:51.9172019Z import random
2023-01-11T21:01:51.9172158Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9172281Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9172286Z 
2023-01-11T21:01:51.9172362Z aten = torch.ops.aten
2023-01-11T21:01:51.9172492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9172569Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9172574Z 
2023-01-11T21:01:51.9172579Z 
2023-01-11T21:01:51.9172710Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9172913Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9173031Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9173132Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.9173239Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9173342Z                        const float* __restrict__ in_ptr1)
2023-01-11T21:01:51.9173402Z {
2023-01-11T21:01:51.9173477Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:51.9173557Z     auto out_ptr1 = in_out_ptr1;
2023-01-11T21:01:51.9173615Z     {
2023-01-11T21:01:51.9173798Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9173872Z         float tmp4 = 0;
2023-01-11T21:01:51.9173988Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2023-01-11T21:01:51.9174059Z         float tmp6 = 0;
2023-01-11T21:01:51.9174160Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:51.9174241Z         for(long i0=0; i0<192; i0+=1)
2023-01-11T21:01:51.9174304Z         {
2023-01-11T21:01:51.9174435Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9174567Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9174689Z             auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9174772Z             auto tmp3 = tmp2.abs();
2023-01-11T21:01:51.9174843Z             auto tmp5 = tmp2 * tmp2;
2023-01-11T21:01:51.9174919Z             tmp4_vec += tmp3;
2023-01-11T21:01:51.9174995Z             tmp6_vec += tmp5;
2023-01-11T21:01:51.9175055Z         }
2023-01-11T21:01:51.9175249Z         tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2023-01-11T21:01:51.9175440Z         tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:51.9175574Z         #pragma omp simd simdlen(4)  reduction(+:tmp4) reduction(+:tmp6)
2023-01-11T21:01:51.9175658Z         for(long i0=1536; i0<1536; i0+=1)
2023-01-11T21:01:51.9175723Z         {
2023-01-11T21:01:51.9175796Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9175877Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9175996Z             auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9176084Z             auto tmp3 = std::abs(tmp2);
2023-01-11T21:01:51.9176167Z             auto tmp5 = tmp2 * tmp2;
2023-01-11T21:01:51.9176237Z             tmp4 += tmp3;
2023-01-11T21:01:51.9176295Z             tmp6 += tmp5;
2023-01-11T21:01:51.9176356Z         }
2023-01-11T21:01:51.9176429Z         out_ptr0[0] = tmp4;
2023-01-11T21:01:51.9176502Z         out_ptr1[0] = tmp6;
2023-01-11T21:01:51.9176562Z     }
2023-01-11T21:01:51.9176620Z     {
2023-01-11T21:01:51.9176680Z         {
2023-01-11T21:01:51.9176748Z             auto tmp0 = out_ptr0[0];
2023-01-11T21:01:51.9176849Z             auto tmp1 = static_cast<float>(1536);
2023-01-11T21:01:51.9176929Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9177006Z             in_out_ptr0[0] = tmp2;
2023-01-11T21:01:51.9177066Z         }
2023-01-11T21:01:51.9177155Z     }
2023-01-11T21:01:51.9177214Z     {
2023-01-11T21:01:51.9177262Z         {
2023-01-11T21:01:51.9177343Z             auto tmp0 = out_ptr1[0];
2023-01-11T21:01:51.9177442Z             auto tmp1 = static_cast<float>(1536);
2023-01-11T21:01:51.9177550Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9177629Z             in_out_ptr1[0] = tmp2;
2023-01-11T21:01:51.9177689Z         }
2023-01-11T21:01:51.9177736Z     }
2023-01-11T21:01:51.9177794Z }
2023-01-11T21:01:51.9177871Z ''')
2023-01-11T21:01:51.9177876Z 
2023-01-11T21:01:51.9177881Z 
2023-01-11T21:01:51.9177967Z async_compile.wait(globals())
2023-01-11T21:01:51.9178038Z del async_compile
2023-01-11T21:01:51.9178043Z 
2023-01-11T21:01:51.9178112Z def call(args):
2023-01-11T21:01:51.9178185Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9178254Z     args.clear()
2023-01-11T21:01:51.9178425Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9178604Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9178688Z     buf2 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9178766Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:51.9178954Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2023-01-11T21:01:51.9179022Z     del arg0_1
2023-01-11T21:01:51.9179086Z     del arg1_1
2023-01-11T21:01:51.9179149Z     return (buf2, buf3, )
2023-01-11T21:01:51.9179154Z 
2023-01-11T21:01:51.9179159Z 
2023-01-11T21:01:51.9179233Z if __name__ == "__main__":
2023-01-11T21:01:51.9179345Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9179466Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9179685Z     arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9179898Z     arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9180004Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9180011Z 
2023-01-11T21:01:51.9185320Z ok (1.559s)
2023-01-11T21:01:51.9185783Z   test_layer_norm_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9185913Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9186197Z [2023-01-11 20:55:56,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239
2023-01-11T21:01:51.9186460Z [2023-01-11 20:55:57,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239
2023-01-11T21:01:51.9186468Z 
2023-01-11T21:01:51.9186561Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9186631Z import torch
2023-01-11T21:01:51.9186700Z import random
2023-01-11T21:01:51.9186802Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9186921Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9186928Z 
2023-01-11T21:01:51.9187006Z aten = torch.ops.aten
2023-01-11T21:01:51.9187141Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9187233Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9187239Z 
2023-01-11T21:01:51.9187244Z 
2023-01-11T21:01:51.9187378Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9187582Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9187700Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9187791Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.9187894Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9187995Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9188161Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9188258Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9188351Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:51.9188440Z {
2023-01-11T21:01:51.9188516Z     auto out_ptr2 = in_out_ptr0;
2023-01-11T21:01:51.9188595Z     auto out_ptr1 = in_out_ptr1;
2023-01-11T21:01:51.9188671Z     #pragma GCC ivdep
2023-01-11T21:01:51.9188749Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9188809Z     {
2023-01-11T21:01:51.9188870Z         {
2023-01-11T21:01:51.9189063Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9189127Z             float tmp1 = 0;
2023-01-11T21:01:51.9189247Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:51.9189329Z             for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9189393Z             {
2023-01-11T21:01:51.9189533Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9189613Z                 tmp1_vec += tmp0;
2023-01-11T21:01:51.9189673Z             }
2023-01-11T21:01:51.9189867Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:51.9189972Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:51.9190057Z             for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:51.9190120Z             {
2023-01-11T21:01:51.9190215Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:51.9190292Z                 tmp1 += tmp0;
2023-01-11T21:01:51.9190351Z             }
2023-01-11T21:01:51.9190426Z             out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9190475Z         }
2023-01-11T21:01:51.9190535Z     }
2023-01-11T21:01:51.9190610Z     #pragma GCC ivdep
2023-01-11T21:01:51.9190687Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9190746Z     {
2023-01-11T21:01:51.9190806Z         {
2023-01-11T21:01:51.9190991Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9191056Z             float tmp6 = 0;
2023-01-11T21:01:51.9191172Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:51.9191246Z             float tmp7 = 0;
2023-01-11T21:01:51.9191358Z             auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:51.9191438Z             for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9191498Z             {
2023-01-11T21:01:51.9191637Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9191761Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:51.9191884Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(32));
2023-01-11T21:01:51.9191970Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:51.9192104Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:51.9192191Z                 auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:51.9192267Z                 tmp6_vec += tmp5;
2023-01-11T21:01:51.9192343Z                 tmp7_vec += tmp0;
2023-01-11T21:01:51.9192404Z             }
2023-01-11T21:01:51.9192585Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:51.9192775Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:51.9192996Z             #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:51.9193084Z             for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:51.9193148Z             {
2023-01-11T21:01:51.9193243Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:51.9193329Z                 auto tmp1 = out_ptr0[i0];
2023-01-11T21:01:51.9193465Z                 auto tmp2 = static_cast<float>(32);
2023-01-11T21:01:51.9193538Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:51.9193669Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:51.9193783Z                 auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:51.9193858Z                 tmp6 += tmp5;
2023-01-11T21:01:51.9193930Z                 tmp7 += tmp0;
2023-01-11T21:01:51.9193992Z             }
2023-01-11T21:01:51.9194068Z             out_ptr1[i0] = tmp6;
2023-01-11T21:01:51.9194131Z             out_ptr2[i0] = tmp7;
2023-01-11T21:01:51.9194191Z         }
2023-01-11T21:01:51.9194251Z     }
2023-01-11T21:01:51.9194326Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9194387Z     {
2023-01-11T21:01:51.9194516Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2023-01-11T21:01:51.9194644Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2023-01-11T21:01:51.9194712Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9194801Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9194862Z     }
2023-01-11T21:01:51.9194946Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9195022Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:51.9195085Z     {
2023-01-11T21:01:51.9195166Z         auto tmp0 = out_ptr2[i0];
2023-01-11T21:01:51.9195251Z         auto tmp1 = static_cast<float>(32);
2023-01-11T21:01:51.9195331Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9195409Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9195468Z     }
2023-01-11T21:01:51.9195542Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9195600Z     {
2023-01-11T21:01:51.9195726Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9195842Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2023-01-11T21:01:51.9195919Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9196118Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2023-01-11T21:01:51.9196201Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9196282Z         auto tmp5 = tmp4.rsqrt();
2023-01-11T21:01:51.9196368Z         tmp5.store(in_out_ptr1 + 8*i0);
2023-01-11T21:01:51.9196431Z     }
2023-01-11T21:01:51.9196504Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9196580Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:51.9196638Z     {
2023-01-11T21:01:51.9196716Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:51.9196812Z         auto tmp1 = static_cast<float>(32);
2023-01-11T21:01:51.9196890Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9197035Z         auto tmp3 = static_cast<float>(1e-05);
2023-01-11T21:01:51.9197101Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9197190Z         auto tmp5 = 1 / std::sqrt(tmp4);
2023-01-11T21:01:51.9197269Z         in_out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.9197330Z     }
2023-01-11T21:01:51.9197402Z     #pragma GCC ivdep
2023-01-11T21:01:51.9197477Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9197536Z     {
2023-01-11T21:01:51.9197604Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9197664Z         {
2023-01-11T21:01:51.9197803Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9197933Z             auto tmp1 = at::vec::Vectorized<float>(in_out_ptr0[i0]);
2023-01-11T21:01:51.9198053Z             auto tmp3 = at::vec::Vectorized<float>(in_out_ptr1[i0]);
2023-01-11T21:01:51.9198181Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:51.9198309Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2023-01-11T21:01:51.9198431Z             auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9198501Z             auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.9198584Z             auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:51.9198666Z             auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9198789Z             auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0));
2023-01-11T21:01:51.9198885Z             tmp9.store(out_ptr3 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9198979Z         }
2023-01-11T21:01:51.9199065Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9199134Z         for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:51.9199193Z         {
2023-01-11T21:01:51.9199313Z             auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:51.9199402Z             auto tmp1 = in_out_ptr0[i0];
2023-01-11T21:01:51.9199486Z             auto tmp3 = in_out_ptr1[i0];
2023-01-11T21:01:51.9199565Z             auto tmp5 = in_ptr1[i1];
2023-01-11T21:01:51.9199645Z             auto tmp7 = in_ptr2[i1];
2023-01-11T21:01:51.9199753Z             auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9199831Z             auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.9199908Z             auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:51.9199989Z             auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9200073Z             auto tmp9 = tmp8 * (tmp8>0);
2023-01-11T21:01:51.9200160Z             out_ptr3[i1 + (32*i0)] = tmp9;
2023-01-11T21:01:51.9200222Z         }
2023-01-11T21:01:51.9200270Z     }
2023-01-11T21:01:51.9200328Z }
2023-01-11T21:01:51.9200404Z ''')
2023-01-11T21:01:51.9200410Z 
2023-01-11T21:01:51.9200415Z 
2023-01-11T21:01:51.9200501Z async_compile.wait(globals())
2023-01-11T21:01:51.9200574Z del async_compile
2023-01-11T21:01:51.9200579Z 
2023-01-11T21:01:51.9200646Z def call(args):
2023-01-11T21:01:51.9200744Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.9200802Z     args.clear()
2023-01-11T21:01:51.9201000Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9201193Z     buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9201383Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9201493Z     buf3 = as_strided(buf2, (16, 1), (1, 1)); del buf2  # reuse
2023-01-11T21:01:51.9201601Z     buf4 = as_strided(buf1, (16, 1), (1, 1)); del buf1  # reuse
2023-01-11T21:01:51.9201795Z     buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9202069Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr()))
2023-01-11T21:01:51.9202180Z     return (buf5, primals_1, primals_2, primals_3, buf3, buf4, )
2023-01-11T21:01:51.9202196Z 
2023-01-11T21:01:51.9202201Z 
2023-01-11T21:01:51.9202264Z if __name__ == "__main__":
2023-01-11T21:01:51.9202377Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9202498Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9202694Z     primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9202890Z     primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9203091Z     primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9203226Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.9203232Z 
2023-01-11T21:01:51.9203295Z ok (1.808s)
2023-01-11T21:01:51.9203963Z   test_leaky_relu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9204092Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9204357Z [2023-01-11 20:55:57,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240
2023-01-11T21:01:51.9204622Z [2023-01-11 20:55:59,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240
2023-01-11T21:01:51.9204628Z 
2023-01-11T21:01:51.9204726Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9204868Z import torch
2023-01-11T21:01:51.9204936Z import random
2023-01-11T21:01:51.9205050Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9205217Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9205223Z 
2023-01-11T21:01:51.9205288Z aten = torch.ops.aten
2023-01-11T21:01:51.9205421Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9205513Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9205518Z 
2023-01-11T21:01:51.9205522Z 
2023-01-11T21:01:51.9205657Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9205859Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9205976Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9206073Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9206170Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9206219Z {
2023-01-11T21:01:51.9206292Z     #pragma GCC ivdep
2023-01-11T21:01:51.9206375Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.9206439Z     {
2023-01-11T21:01:51.9206500Z         {
2023-01-11T21:01:51.9206561Z             {
2023-01-11T21:01:51.9206638Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9206737Z                 auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:51.9206821Z                 auto tmp2 = tmp0 > tmp1;
2023-01-11T21:01:51.9206925Z                 auto tmp3 = static_cast<float>(0.2);
2023-01-11T21:01:51.9207008Z                 auto tmp4 = tmp0 * tmp3;
2023-01-11T21:01:51.9207103Z                 auto tmp5 = tmp2 ? tmp0 : tmp4;
2023-01-11T21:01:51.9207198Z                 auto tmp6 = static_cast<float>(2);
2023-01-11T21:01:51.9207281Z                 auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:51.9207366Z                 auto tmp8 = static_cast<float>(1);
2023-01-11T21:01:51.9207449Z                 auto tmp9 = tmp0 + tmp8;
2023-01-11T21:01:51.9207535Z                 auto tmp10 = tmp9 > tmp1;
2023-01-11T21:01:51.9207638Z                 auto tmp11 = static_cast<float>(0.01);
2023-01-11T21:01:51.9207722Z                 auto tmp12 = tmp9 * tmp11;
2023-01-11T21:01:51.9207816Z                 auto tmp13 = tmp10 ? tmp9 : tmp12;
2023-01-11T21:01:51.9207894Z                 out_ptr0[i0] = tmp7;
2023-01-11T21:01:51.9207962Z                 out_ptr1[i0] = tmp13;
2023-01-11T21:01:51.9208021Z             }
2023-01-11T21:01:51.9208081Z         }
2023-01-11T21:01:51.9208143Z     }
2023-01-11T21:01:51.9208202Z }
2023-01-11T21:01:51.9208275Z ''')
2023-01-11T21:01:51.9208281Z 
2023-01-11T21:01:51.9208286Z 
2023-01-11T21:01:51.9208371Z async_compile.wait(globals())
2023-01-11T21:01:51.9208429Z del async_compile
2023-01-11T21:01:51.9208434Z 
2023-01-11T21:01:51.9208501Z def call(args):
2023-01-11T21:01:51.9208570Z     arg0_1, = args
2023-01-11T21:01:51.9208639Z     args.clear()
2023-01-11T21:01:51.9208835Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9209032Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9209196Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9209253Z     del arg0_1
2023-01-11T21:01:51.9209327Z     return (buf0, buf1, )
2023-01-11T21:01:51.9209332Z 
2023-01-11T21:01:51.9209336Z 
2023-01-11T21:01:51.9209412Z if __name__ == "__main__":
2023-01-11T21:01:51.9209524Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9209644Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9209841Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9209945Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9209951Z 
2023-01-11T21:01:51.9210014Z ok (1.552s)
2023-01-11T21:01:51.9210445Z   test_lgamma_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9210622Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9210881Z [2023-01-11 20:55:59,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241
2023-01-11T21:01:51.9211140Z [2023-01-11 20:56:00,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241
2023-01-11T21:01:51.9211146Z 
2023-01-11T21:01:51.9211240Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9211307Z import torch
2023-01-11T21:01:51.9211375Z import random
2023-01-11T21:01:51.9211486Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9211602Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9211608Z 
2023-01-11T21:01:51.9211674Z aten = torch.ops.aten
2023-01-11T21:01:51.9211804Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9211892Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9211897Z 
2023-01-11T21:01:51.9211902Z 
2023-01-11T21:01:51.9212035Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9212237Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9212353Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9212451Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9212546Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9212593Z {
2023-01-11T21:01:51.9212674Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.9212733Z     {
2023-01-11T21:01:51.9212869Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9212952Z         auto tmp1 = tmp0.lgamma();
2023-01-11T21:01:51.9213077Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9213161Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9213284Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9213355Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:51.9213432Z         auto tmp6 = tmp5.cos();
2023-01-11T21:01:51.9213520Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9213603Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9213662Z     }
2023-01-11T21:01:51.9213746Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9213812Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.9213870Z     {
2023-01-11T21:01:51.9213949Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9214037Z         auto tmp1 = std::lgamma(tmp0);
2023-01-11T21:01:51.9214132Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:51.9214209Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9214300Z         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.9214369Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:51.9214454Z         auto tmp6 = std::cos(tmp5);
2023-01-11T21:01:51.9214531Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.9214606Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:51.9214663Z     }
2023-01-11T21:01:51.9214722Z }
2023-01-11T21:01:51.9214796Z ''')
2023-01-11T21:01:51.9214801Z 
2023-01-11T21:01:51.9214806Z 
2023-01-11T21:01:51.9214880Z async_compile.wait(globals())
2023-01-11T21:01:51.9214950Z del async_compile
2023-01-11T21:01:51.9214955Z 
2023-01-11T21:01:51.9215022Z def call(args):
2023-01-11T21:01:51.9215091Z     arg0_1, = args
2023-01-11T21:01:51.9215161Z     args.clear()
2023-01-11T21:01:51.9215358Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9215553Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9215711Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9215801Z     del arg0_1
2023-01-11T21:01:51.9215875Z     return (buf0, buf1, )
2023-01-11T21:01:51.9215881Z 
2023-01-11T21:01:51.9215885Z 
2023-01-11T21:01:51.9215956Z if __name__ == "__main__":
2023-01-11T21:01:51.9216095Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9216217Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9216417Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9216521Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9216527Z 
2023-01-11T21:01:51.9216588Z ok (1.538s)
2023-01-11T21:01:51.9217008Z   test_linear1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9217134Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9217391Z [2023-01-11 20:56:00,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242
2023-01-11T21:01:51.9217656Z [2023-01-11 20:56:02,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242
2023-01-11T21:01:51.9217662Z 
2023-01-11T21:01:51.9217751Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9217820Z import torch
2023-01-11T21:01:51.9217888Z import random
2023-01-11T21:01:51.9217999Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9218115Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9218121Z 
2023-01-11T21:01:51.9218185Z aten = torch.ops.aten
2023-01-11T21:01:51.9218315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9218407Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9218412Z 
2023-01-11T21:01:51.9218416Z 
2023-01-11T21:01:51.9218550Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9218752Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9218865Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.9218925Z {
2023-01-11T21:01:51.9219002Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9219050Z     {
2023-01-11T21:01:51.9219188Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9219317Z         auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2023-01-11T21:01:51.9219406Z         tmp1.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9219464Z     }
2023-01-11T21:01:51.9219549Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9219626Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:51.9219673Z     {
2023-01-11T21:01:51.9219757Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9219884Z         auto tmp1 = std::exp(-tmp0);
2023-01-11T21:01:51.9219965Z         auto tmp2 = 1 / (1 + tmp1);
2023-01-11T21:01:51.9220042Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9220102Z     }
2023-01-11T21:01:51.9220162Z }
2023-01-11T21:01:51.9220226Z ''')
2023-01-11T21:01:51.9220231Z 
2023-01-11T21:01:51.9220235Z 
2023-01-11T21:01:51.9220321Z async_compile.wait(globals())
2023-01-11T21:01:51.9220392Z del async_compile
2023-01-11T21:01:51.9220397Z 
2023-01-11T21:01:51.9220466Z def call(args):
2023-01-11T21:01:51.9220564Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.9220636Z     args.clear()
2023-01-11T21:01:51.9220828Z     buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9220977Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2023-01-11T21:01:51.9221047Z     del primals_1
2023-01-11T21:01:51.9221114Z     del primals_2
2023-01-11T21:01:51.9221196Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9221296Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9221415Z     return (buf1, primals_3, buf1, )
2023-01-11T21:01:51.9221420Z 
2023-01-11T21:01:51.9221425Z 
2023-01-11T21:01:51.9221497Z if __name__ == "__main__":
2023-01-11T21:01:51.9221632Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9221743Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9221948Z     primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9222150Z     primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9222344Z     primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9222478Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.9222484Z 
2023-01-11T21:01:51.9222547Z ok (1.563s)
2023-01-11T21:01:51.9222982Z   test_linear2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9223111Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9223367Z [2023-01-11 20:56:02,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243
2023-01-11T21:01:51.9223619Z [2023-01-11 20:56:04,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243
2023-01-11T21:01:51.9223635Z 
2023-01-11T21:01:51.9223715Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9223782Z import torch
2023-01-11T21:01:51.9223852Z import random
2023-01-11T21:01:51.9223966Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9224085Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9224091Z 
2023-01-11T21:01:51.9224165Z aten = torch.ops.aten
2023-01-11T21:01:51.9224297Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9224375Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9224380Z 
2023-01-11T21:01:51.9224384Z 
2023-01-11T21:01:51.9224518Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9224721Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9224836Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.9224896Z {
2023-01-11T21:01:51.9224972Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9225030Z     {
2023-01-11T21:01:51.9225151Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9225274Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:51.9225362Z         tmp1.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9225424Z     }
2023-01-11T21:01:51.9225511Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9225591Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:51.9225650Z     {
2023-01-11T21:01:51.9225722Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9225805Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.9225882Z         in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9225944Z     }
2023-01-11T21:01:51.9226001Z }
2023-01-11T21:01:51.9226076Z ''')
2023-01-11T21:01:51.9226082Z 
2023-01-11T21:01:51.9226086Z 
2023-01-11T21:01:51.9226213Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.9226413Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9226515Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.9226573Z {
2023-01-11T21:01:51.9226649Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9226708Z     {
2023-01-11T21:01:51.9226838Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9226960Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:51.9227116Z         tmp1.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9227162Z     }
2023-01-11T21:01:51.9227247Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9227325Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:51.9227382Z     {
2023-01-11T21:01:51.9227494Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9227577Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.9227654Z         in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9227700Z     }
2023-01-11T21:01:51.9227760Z }
2023-01-11T21:01:51.9227836Z ''')
2023-01-11T21:01:51.9227841Z 
2023-01-11T21:01:51.9227845Z 
2023-01-11T21:01:51.9227973Z kernel_cpp_2 = async_compile.cpp('''
2023-01-11T21:01:51.9228171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9228283Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:51.9228342Z {
2023-01-11T21:01:51.9228407Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9228467Z     {
2023-01-11T21:01:51.9228599Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9228723Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:51.9228809Z         tmp1.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9228871Z     }
2023-01-11T21:01:51.9228953Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9229020Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:51.9229077Z     {
2023-01-11T21:01:51.9229162Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9229243Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.9229320Z         in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9229379Z     }
2023-01-11T21:01:51.9229436Z }
2023-01-11T21:01:51.9229500Z ''')
2023-01-11T21:01:51.9229506Z 
2023-01-11T21:01:51.9229510Z 
2023-01-11T21:01:51.9229636Z kernel_cpp_3 = async_compile.cpp('''
2023-01-11T21:01:51.9229832Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9229946Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9230043Z                        bool* __restrict__ out_ptr0)
2023-01-11T21:01:51.9230101Z {
2023-01-11T21:01:51.9230174Z     #pragma GCC ivdep
2023-01-11T21:01:51.9230242Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9230302Z     {
2023-01-11T21:01:51.9230365Z         {
2023-01-11T21:01:51.9230430Z             {
2023-01-11T21:01:51.9230521Z                 auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9230610Z                 auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:51.9230707Z                 auto tmp2 = static_cast<float>(0);
2023-01-11T21:01:51.9230782Z                 auto tmp3 = tmp1 <= tmp2;
2023-01-11T21:01:51.9230862Z                 in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9230944Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.9231007Z             }
2023-01-11T21:01:51.9231066Z         }
2023-01-11T21:01:51.9231127Z     }
2023-01-11T21:01:51.9231183Z }
2023-01-11T21:01:51.9231245Z ''')
2023-01-11T21:01:51.9231252Z 
2023-01-11T21:01:51.9231257Z 
2023-01-11T21:01:51.9231342Z async_compile.wait(globals())
2023-01-11T21:01:51.9231415Z del async_compile
2023-01-11T21:01:51.9231420Z 
2023-01-11T21:01:51.9231490Z def call(args):
2023-01-11T21:01:51.9231658Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2023-01-11T21:01:51.9231726Z     args.clear()
2023-01-11T21:01:51.9231919Z     buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9232078Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2023-01-11T21:01:51.9232136Z     del primals_1
2023-01-11T21:01:51.9232203Z     del primals_2
2023-01-11T21:01:51.9232288Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9232389Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9232578Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9232762Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2023-01-11T21:01:51.9232831Z     del primals_4
2023-01-11T21:01:51.9232967Z     buf3 = buf2; del buf2  # reuse
2023-01-11T21:01:51.9233101Z     kernel_cpp_1(c_void_p(buf3.data_ptr()))
2023-01-11T21:01:51.9233297Z     buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9233449Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2023-01-11T21:01:51.9233519Z     del primals_6
2023-01-11T21:01:51.9233600Z     buf5 = buf4; del buf4  # reuse
2023-01-11T21:01:51.9233700Z     kernel_cpp_2(c_void_p(buf5.data_ptr()))
2023-01-11T21:01:51.9233879Z     buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9234031Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2023-01-11T21:01:51.9234101Z     del primals_8
2023-01-11T21:01:51.9234184Z     buf7 = buf6; del buf6  # reuse
2023-01-11T21:01:51.9234369Z     buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9234499Z     kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2023-01-11T21:01:51.9234698Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2023-01-11T21:01:51.9234704Z 
2023-01-11T21:01:51.9234708Z 
2023-01-11T21:01:51.9234783Z if __name__ == "__main__":
2023-01-11T21:01:51.9234892Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9235000Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9235200Z     primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9235395Z     primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9235590Z     primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9235787Z     primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9235980Z     primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9236173Z     primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9236365Z     primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9236544Z     primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9236739Z     primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9236941Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2023-01-11T21:01:51.9236947Z 
2023-01-11T21:01:51.9237013Z ok (1.796s)
2023-01-11T21:01:51.9237457Z   test_linear_binary_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9237585Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9237845Z [2023-01-11 20:56:04,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244
2023-01-11T21:01:51.9238107Z [2023-01-11 20:56:04,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244
2023-01-11T21:01:51.9238503Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9238662Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9238906Z [2023-01-11 20:56:04,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245
2023-01-11T21:01:51.9239194Z [2023-01-11 20:56:04,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245
2023-01-11T21:01:51.9239586Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9239712Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9239966Z [2023-01-11 20:56:04,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246
2023-01-11T21:01:51.9240224Z [2023-01-11 20:56:04,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246
2023-01-11T21:01:51.9240622Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9240744Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9240993Z [2023-01-11 20:56:04,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247
2023-01-11T21:01:51.9241250Z [2023-01-11 20:56:04,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247
2023-01-11T21:01:51.9241643Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9241766Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9242008Z [2023-01-11 20:56:04,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248
2023-01-11T21:01:51.9242265Z [2023-01-11 20:56:04,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248
2023-01-11T21:01:51.9242655Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9242776Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9243028Z [2023-01-11 20:56:04,518] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249
2023-01-11T21:01:51.9243285Z [2023-01-11 20:56:04,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249
2023-01-11T21:01:51.9243912Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9244035Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9244288Z [2023-01-11 20:56:04,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250
2023-01-11T21:01:51.9244548Z [2023-01-11 20:56:04,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250
2023-01-11T21:01:51.9244992Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9245172Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9245415Z [2023-01-11 20:56:04,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251
2023-01-11T21:01:51.9245421Z 
2023-01-11T21:01:51.9245513Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9245584Z import torch
2023-01-11T21:01:51.9245653Z import random
2023-01-11T21:01:51.9245767Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9245890Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9245895Z 
2023-01-11T21:01:51.9245970Z aten = torch.ops.aten
2023-01-11T21:01:51.9246105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9246186Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9246191Z 
2023-01-11T21:01:51.9246195Z 
2023-01-11T21:01:51.9246282Z async_compile.wait(globals())
2023-01-11T21:01:51.9246355Z del async_compile
2023-01-11T21:01:51.9246362Z 
2023-01-11T21:01:51.9246430Z def call(args):
2023-01-11T21:01:51.9246518Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9246586Z     args.clear()
2023-01-11T21:01:51.9246812Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9246867Z     del arg0_1
2023-01-11T21:01:51.9246931Z     del arg1_1
2023-01-11T21:01:51.9246994Z     del arg2_1
2023-01-11T21:01:51.9247060Z     del arg3_1
2023-01-11T21:01:51.9247127Z     return (buf0, )
2023-01-11T21:01:51.9247133Z 
2023-01-11T21:01:51.9247136Z 
2023-01-11T21:01:51.9247208Z if __name__ == "__main__":
2023-01-11T21:01:51.9247319Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9247441Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9247632Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9247827Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9248032Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9248235Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9248361Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9248367Z 
2023-01-11T21:01:51.9248371Z 
2023-01-11T21:01:51.9248462Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9248529Z import torch
2023-01-11T21:01:51.9248595Z import random
2023-01-11T21:01:51.9248695Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9248812Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9248817Z 
2023-01-11T21:01:51.9248895Z aten = torch.ops.aten
2023-01-11T21:01:51.9249027Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9249115Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9249120Z 
2023-01-11T21:01:51.9249125Z 
2023-01-11T21:01:51.9249210Z async_compile.wait(globals())
2023-01-11T21:01:51.9249278Z del async_compile
2023-01-11T21:01:51.9249282Z 
2023-01-11T21:01:51.9249349Z def call(args):
2023-01-11T21:01:51.9249415Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9249482Z     args.clear()
2023-01-11T21:01:51.9249706Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9249772Z     del arg0_1
2023-01-11T21:01:51.9249836Z     del arg1_1
2023-01-11T21:01:51.9249898Z     del arg2_1
2023-01-11T21:01:51.9249967Z     return (buf0, )
2023-01-11T21:01:51.9249972Z 
2023-01-11T21:01:51.9249976Z 
2023-01-11T21:01:51.9250037Z if __name__ == "__main__":
2023-01-11T21:01:51.9250144Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9250298Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9250498Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9250731Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9250934Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9251054Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9251060Z 
2023-01-11T21:01:51.9251065Z 
2023-01-11T21:01:51.9251156Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9251212Z import torch
2023-01-11T21:01:51.9251280Z import random
2023-01-11T21:01:51.9251394Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9251511Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9251516Z 
2023-01-11T21:01:51.9251590Z aten = torch.ops.aten
2023-01-11T21:01:51.9251719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9251808Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9251813Z 
2023-01-11T21:01:51.9251817Z 
2023-01-11T21:01:51.9251900Z async_compile.wait(globals())
2023-01-11T21:01:51.9251959Z del async_compile
2023-01-11T21:01:51.9251964Z 
2023-01-11T21:01:51.9252030Z def call(args):
2023-01-11T21:01:51.9252115Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9252185Z     args.clear()
2023-01-11T21:01:51.9252408Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9252474Z     del arg0_1
2023-01-11T21:01:51.9252537Z     del arg1_1
2023-01-11T21:01:51.9252589Z     del arg2_1
2023-01-11T21:01:51.9252652Z     del arg3_1
2023-01-11T21:01:51.9252721Z     return (buf0, )
2023-01-11T21:01:51.9252726Z 
2023-01-11T21:01:51.9252730Z 
2023-01-11T21:01:51.9252800Z if __name__ == "__main__":
2023-01-11T21:01:51.9252913Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9253033Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9253230Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9253425Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9253610Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9253804Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9253934Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9253940Z 
2023-01-11T21:01:51.9253944Z 
2023-01-11T21:01:51.9254037Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9254107Z import torch
2023-01-11T21:01:51.9254173Z import random
2023-01-11T21:01:51.9254288Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9254405Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9254409Z 
2023-01-11T21:01:51.9254476Z aten = torch.ops.aten
2023-01-11T21:01:51.9254605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9254696Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9254701Z 
2023-01-11T21:01:51.9254706Z 
2023-01-11T21:01:51.9254795Z async_compile.wait(globals())
2023-01-11T21:01:51.9254863Z del async_compile
2023-01-11T21:01:51.9254868Z 
2023-01-11T21:01:51.9254934Z def call(args):
2023-01-11T21:01:51.9255010Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9255076Z     args.clear()
2023-01-11T21:01:51.9255285Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9255352Z     del arg0_1
2023-01-11T21:01:51.9255417Z     del arg1_1
2023-01-11T21:01:51.9255482Z     del arg2_1
2023-01-11T21:01:51.9255550Z     return (buf0, )
2023-01-11T21:01:51.9255556Z 
2023-01-11T21:01:51.9255560Z 
2023-01-11T21:01:51.9255629Z if __name__ == "__main__":
2023-01-11T21:01:51.9255738Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9255881Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9256079Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9256308Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9256502Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9256622Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9256628Z 
2023-01-11T21:01:51.9256632Z 
2023-01-11T21:01:51.9256721Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9256788Z import torch
2023-01-11T21:01:51.9256856Z import random
2023-01-11T21:01:51.9256957Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9257073Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9257078Z 
2023-01-11T21:01:51.9257155Z aten = torch.ops.aten
2023-01-11T21:01:51.9257284Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9257375Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9257380Z 
2023-01-11T21:01:51.9257384Z 
2023-01-11T21:01:51.9257468Z async_compile.wait(globals())
2023-01-11T21:01:51.9257538Z del async_compile
2023-01-11T21:01:51.9257545Z 
2023-01-11T21:01:51.9257612Z def call(args):
2023-01-11T21:01:51.9257686Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9257755Z     args.clear()
2023-01-11T21:01:51.9257982Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9258047Z     del arg0_1
2023-01-11T21:01:51.9258112Z     del arg1_1
2023-01-11T21:01:51.9258175Z     del arg2_1
2023-01-11T21:01:51.9258237Z     del arg3_1
2023-01-11T21:01:51.9258293Z     return (buf0, )
2023-01-11T21:01:51.9258298Z 
2023-01-11T21:01:51.9258302Z 
2023-01-11T21:01:51.9258372Z if __name__ == "__main__":
2023-01-11T21:01:51.9258481Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9258604Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9258801Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9258997Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9259199Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9259399Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9259516Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9259522Z 
2023-01-11T21:01:51.9259539Z 
2023-01-11T21:01:51.9259618Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9259684Z import torch
2023-01-11T21:01:51.9259755Z import random
2023-01-11T21:01:51.9259867Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9259983Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9259988Z 
2023-01-11T21:01:51.9260064Z aten = torch.ops.aten
2023-01-11T21:01:51.9260193Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9260269Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9260274Z 
2023-01-11T21:01:51.9260278Z 
2023-01-11T21:01:51.9260366Z async_compile.wait(globals())
2023-01-11T21:01:51.9260437Z del async_compile
2023-01-11T21:01:51.9260442Z 
2023-01-11T21:01:51.9260508Z def call(args):
2023-01-11T21:01:51.9260584Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9260652Z     args.clear()
2023-01-11T21:01:51.9260873Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9260938Z     del arg0_1
2023-01-11T21:01:51.9260991Z     del arg1_1
2023-01-11T21:01:51.9261057Z     del arg2_1
2023-01-11T21:01:51.9261128Z     return (buf0, )
2023-01-11T21:01:51.9261134Z 
2023-01-11T21:01:51.9261138Z 
2023-01-11T21:01:51.9261210Z if __name__ == "__main__":
2023-01-11T21:01:51.9261320Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9261470Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9261669Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9261889Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9262094Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9262211Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9262217Z 
2023-01-11T21:01:51.9262222Z 
2023-01-11T21:01:51.9262311Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9262380Z import torch
2023-01-11T21:01:51.9262447Z import random
2023-01-11T21:01:51.9262557Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9262675Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9262680Z 
2023-01-11T21:01:51.9262744Z aten = torch.ops.aten
2023-01-11T21:01:51.9262872Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9262963Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9262968Z 
2023-01-11T21:01:51.9262972Z 
2023-01-11T21:01:51.9263057Z async_compile.wait(globals())
2023-01-11T21:01:51.9263132Z del async_compile
2023-01-11T21:01:51.9263137Z 
2023-01-11T21:01:51.9263203Z def call(args):
2023-01-11T21:01:51.9263289Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9263357Z     args.clear()
2023-01-11T21:01:51.9263569Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9263634Z     del arg0_1
2023-01-11T21:01:51.9263700Z     del arg1_1
2023-01-11T21:01:51.9263765Z     del arg2_1
2023-01-11T21:01:51.9263828Z     del arg3_1
2023-01-11T21:01:51.9263895Z     return (buf0, )
2023-01-11T21:01:51.9263900Z 
2023-01-11T21:01:51.9263903Z 
2023-01-11T21:01:51.9263974Z if __name__ == "__main__":
2023-01-11T21:01:51.9264072Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9264193Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9264393Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9264588Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9264783Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9264976Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9265099Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9265104Z 
2023-01-11T21:01:51.9265109Z 
2023-01-11T21:01:51.9265199Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9265254Z import torch
2023-01-11T21:01:51.9265322Z import random
2023-01-11T21:01:51.9265434Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9265550Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9265555Z 
2023-01-11T21:01:51.9265632Z aten = torch.ops.aten
2023-01-11T21:01:51.9265762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9265851Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9265856Z 
2023-01-11T21:01:51.9265861Z 
2023-01-11T21:01:51.9265946Z async_compile.wait(globals())
2023-01-11T21:01:51.9266003Z del async_compile
2023-01-11T21:01:51.9266008Z 
2023-01-11T21:01:51.9266075Z def call(args):
2023-01-11T21:01:51.9266156Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9266226Z     args.clear()
2023-01-11T21:01:51.9266449Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9266514Z     del arg0_1
2023-01-11T21:01:51.9266579Z     del arg1_1
2023-01-11T21:01:51.9266630Z     del arg2_1
2023-01-11T21:01:51.9266699Z     return (buf0, )
2023-01-11T21:01:51.9266704Z 
2023-01-11T21:01:51.9266708Z 
2023-01-11T21:01:51.9266784Z if __name__ == "__main__":
2023-01-11T21:01:51.9266892Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9267056Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9267256Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9267481Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9267677Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9267784Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9268051Z [2023-01-11 20:56:04,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251
2023-01-11T21:01:51.9268452Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9268582Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9268838Z [2023-01-11 20:56:04,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252
2023-01-11T21:01:51.9269100Z [2023-01-11 20:56:04,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252
2023-01-11T21:01:51.9269497Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9269621Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9269873Z [2023-01-11 20:56:04,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253
2023-01-11T21:01:51.9270133Z [2023-01-11 20:56:04,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253
2023-01-11T21:01:51.9270529Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9270653Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9270894Z [2023-01-11 20:56:04,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254
2023-01-11T21:01:51.9271287Z [2023-01-11 20:56:04,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254
2023-01-11T21:01:51.9271684Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9271812Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9272067Z [2023-01-11 20:56:04,851] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255
2023-01-11T21:01:51.9272327Z [2023-01-11 20:56:04,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255
2023-01-11T21:01:51.9272718Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9272842Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9273186Z [2023-01-11 20:56:04,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256
2023-01-11T21:01:51.9273480Z [2023-01-11 20:56:04,931] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256
2023-01-11T21:01:51.9273903Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9274016Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9274269Z [2023-01-11 20:56:04,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257
2023-01-11T21:01:51.9274527Z [2023-01-11 20:56:04,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257
2023-01-11T21:01:51.9274922Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9275049Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9275301Z [2023-01-11 20:56:05,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258
2023-01-11T21:01:51.9275561Z [2023-01-11 20:56:05,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258
2023-01-11T21:01:51.9275951Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9276076Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9276328Z [2023-01-11 20:56:05,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259
2023-01-11T21:01:51.9276337Z 
2023-01-11T21:01:51.9276341Z 
2023-01-11T21:01:51.9276432Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9276489Z import torch
2023-01-11T21:01:51.9276558Z import random
2023-01-11T21:01:51.9276672Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9276796Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9276801Z 
2023-01-11T21:01:51.9276877Z aten = torch.ops.aten
2023-01-11T21:01:51.9277007Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9277095Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9277101Z 
2023-01-11T21:01:51.9277105Z 
2023-01-11T21:01:51.9277189Z async_compile.wait(globals())
2023-01-11T21:01:51.9277248Z del async_compile
2023-01-11T21:01:51.9277255Z 
2023-01-11T21:01:51.9277322Z def call(args):
2023-01-11T21:01:51.9277411Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9277479Z     args.clear()
2023-01-11T21:01:51.9277705Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9277771Z     del arg0_1
2023-01-11T21:01:51.9277833Z     del arg1_1
2023-01-11T21:01:51.9277885Z     del arg2_1
2023-01-11T21:01:51.9277948Z     del arg3_1
2023-01-11T21:01:51.9278016Z     return (buf0, )
2023-01-11T21:01:51.9278022Z 
2023-01-11T21:01:51.9278026Z 
2023-01-11T21:01:51.9278101Z if __name__ == "__main__":
2023-01-11T21:01:51.9278214Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9278334Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9278535Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9278728Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9278950Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9279153Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9279307Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9279314Z 
2023-01-11T21:01:51.9279318Z 
2023-01-11T21:01:51.9279409Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9279479Z import torch
2023-01-11T21:01:51.9279546Z import random
2023-01-11T21:01:51.9279657Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9279775Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9279781Z 
2023-01-11T21:01:51.9279844Z aten = torch.ops.aten
2023-01-11T21:01:51.9279975Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9280064Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9280070Z 
2023-01-11T21:01:51.9280074Z 
2023-01-11T21:01:51.9280161Z async_compile.wait(globals())
2023-01-11T21:01:51.9280233Z del async_compile
2023-01-11T21:01:51.9280239Z 
2023-01-11T21:01:51.9280304Z def call(args):
2023-01-11T21:01:51.9280383Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9280454Z     args.clear()
2023-01-11T21:01:51.9280666Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9280731Z     del arg0_1
2023-01-11T21:01:51.9280795Z     del arg1_1
2023-01-11T21:01:51.9280860Z     del arg2_1
2023-01-11T21:01:51.9280928Z     return (buf0, )
2023-01-11T21:01:51.9280933Z 
2023-01-11T21:01:51.9280937Z 
2023-01-11T21:01:51.9281008Z if __name__ == "__main__":
2023-01-11T21:01:51.9281117Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9281225Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9281421Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9281623Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9281829Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9281947Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9281955Z 
2023-01-11T21:01:51.9281959Z 
2023-01-11T21:01:51.9282050Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9282117Z import torch
2023-01-11T21:01:51.9282182Z import random
2023-01-11T21:01:51.9282283Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9282399Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9282404Z 
2023-01-11T21:01:51.9282478Z aten = torch.ops.aten
2023-01-11T21:01:51.9282607Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9282698Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9282703Z 
2023-01-11T21:01:51.9282707Z 
2023-01-11T21:01:51.9282791Z async_compile.wait(globals())
2023-01-11T21:01:51.9282861Z del async_compile
2023-01-11T21:01:51.9282866Z 
2023-01-11T21:01:51.9282933Z def call(args):
2023-01-11T21:01:51.9283008Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9283076Z     args.clear()
2023-01-11T21:01:51.9283303Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9283501Z     del arg0_1
2023-01-11T21:01:51.9283605Z     del arg1_1
2023-01-11T21:01:51.9283705Z     del arg2_1
2023-01-11T21:01:51.9283774Z     del arg3_1
2023-01-11T21:01:51.9283832Z     return (buf0, )
2023-01-11T21:01:51.9283837Z 
2023-01-11T21:01:51.9283854Z 
2023-01-11T21:01:51.9283914Z if __name__ == "__main__":
2023-01-11T21:01:51.9284024Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9284145Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9284349Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9284544Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9284807Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9285000Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9285163Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9285182Z 
2023-01-11T21:01:51.9285186Z 
2023-01-11T21:01:51.9285268Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9285336Z import torch
2023-01-11T21:01:51.9285405Z import random
2023-01-11T21:01:51.9285515Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9285632Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9285638Z 
2023-01-11T21:01:51.9285712Z aten = torch.ops.aten
2023-01-11T21:01:51.9285842Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9285918Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9285923Z 
2023-01-11T21:01:51.9285938Z 
2023-01-11T21:01:51.9286014Z async_compile.wait(globals())
2023-01-11T21:01:51.9286084Z del async_compile
2023-01-11T21:01:51.9286089Z 
2023-01-11T21:01:51.9286159Z def call(args):
2023-01-11T21:01:51.9286240Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9286310Z     args.clear()
2023-01-11T21:01:51.9286535Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9286603Z     del arg0_1
2023-01-11T21:01:51.9286655Z     del arg1_1
2023-01-11T21:01:51.9286718Z     del arg2_1
2023-01-11T21:01:51.9286788Z     return (buf0, )
2023-01-11T21:01:51.9286794Z 
2023-01-11T21:01:51.9286798Z 
2023-01-11T21:01:51.9286873Z if __name__ == "__main__":
2023-01-11T21:01:51.9286981Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9287099Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9287298Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9287482Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9287679Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9287798Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9287805Z 
2023-01-11T21:01:51.9287810Z 
2023-01-11T21:01:51.9287900Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9287973Z import torch
2023-01-11T21:01:51.9288039Z import random
2023-01-11T21:01:51.9288149Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9288266Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9288271Z 
2023-01-11T21:01:51.9288334Z aten = torch.ops.aten
2023-01-11T21:01:51.9288462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9288554Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9288559Z 
2023-01-11T21:01:51.9288563Z 
2023-01-11T21:01:51.9288651Z async_compile.wait(globals())
2023-01-11T21:01:51.9288720Z del async_compile
2023-01-11T21:01:51.9288726Z 
2023-01-11T21:01:51.9288793Z def call(args):
2023-01-11T21:01:51.9288878Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9288944Z     args.clear()
2023-01-11T21:01:51.9289160Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9289226Z     del arg0_1
2023-01-11T21:01:51.9289289Z     del arg1_1
2023-01-11T21:01:51.9289355Z     del arg2_1
2023-01-11T21:01:51.9289419Z     del arg3_1
2023-01-11T21:01:51.9289486Z     return (buf0, )
2023-01-11T21:01:51.9289490Z 
2023-01-11T21:01:51.9289494Z 
2023-01-11T21:01:51.9289566Z if __name__ == "__main__":
2023-01-11T21:01:51.9289663Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9289782Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9289981Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9290175Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9290411Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9290612Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9290769Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9290776Z 
2023-01-11T21:01:51.9290780Z 
2023-01-11T21:01:51.9290872Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9290940Z import torch
2023-01-11T21:01:51.9290995Z import random
2023-01-11T21:01:51.9291107Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9291224Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9291229Z 
2023-01-11T21:01:51.9291305Z aten = torch.ops.aten
2023-01-11T21:01:51.9291434Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9291521Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9291525Z 
2023-01-11T21:01:51.9291530Z 
2023-01-11T21:01:51.9291614Z async_compile.wait(globals())
2023-01-11T21:01:51.9291672Z del async_compile
2023-01-11T21:01:51.9291689Z 
2023-01-11T21:01:51.9291744Z def call(args):
2023-01-11T21:01:51.9291822Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9291894Z     args.clear()
2023-01-11T21:01:51.9292118Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9292184Z     del arg0_1
2023-01-11T21:01:51.9292246Z     del arg1_1
2023-01-11T21:01:51.9292297Z     del arg2_1
2023-01-11T21:01:51.9292365Z     return (buf0, )
2023-01-11T21:01:51.9292371Z 
2023-01-11T21:01:51.9292375Z 
2023-01-11T21:01:51.9292450Z if __name__ == "__main__":
2023-01-11T21:01:51.9292561Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9292680Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9292879Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9293083Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9293286Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9293394Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9293413Z 
2023-01-11T21:01:51.9293417Z 
2023-01-11T21:01:51.9293496Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9293561Z import torch
2023-01-11T21:01:51.9293628Z import random
2023-01-11T21:01:51.9293739Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9293854Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9293859Z 
2023-01-11T21:01:51.9293934Z aten = torch.ops.aten
2023-01-11T21:01:51.9294062Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9294137Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9294153Z 
2023-01-11T21:01:51.9294158Z 
2023-01-11T21:01:51.9294231Z async_compile.wait(globals())
2023-01-11T21:01:51.9294300Z del async_compile
2023-01-11T21:01:51.9294309Z 
2023-01-11T21:01:51.9294379Z def call(args):
2023-01-11T21:01:51.9294469Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9294539Z     args.clear()
2023-01-11T21:01:51.9294764Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2023-01-11T21:01:51.9294831Z     del arg0_1
2023-01-11T21:01:51.9294884Z     del arg1_1
2023-01-11T21:01:51.9294948Z     del arg2_1
2023-01-11T21:01:51.9295013Z     del arg3_1
2023-01-11T21:01:51.9295083Z     return (buf0, )
2023-01-11T21:01:51.9295088Z 
2023-01-11T21:01:51.9295092Z 
2023-01-11T21:01:51.9295164Z if __name__ == "__main__":
2023-01-11T21:01:51.9295272Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9295391Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9295577Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9295769Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9295991Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9296188Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9296341Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9296347Z 
2023-01-11T21:01:51.9296352Z 
2023-01-11T21:01:51.9296440Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9296507Z import torch
2023-01-11T21:01:51.9296575Z import random
2023-01-11T21:01:51.9296676Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9296792Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9296797Z 
2023-01-11T21:01:51.9296874Z aten = torch.ops.aten
2023-01-11T21:01:51.9297006Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9297095Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9297100Z 
2023-01-11T21:01:51.9297104Z 
2023-01-11T21:01:51.9297190Z async_compile.wait(globals())
2023-01-11T21:01:51.9297259Z del async_compile
2023-01-11T21:01:51.9297264Z 
2023-01-11T21:01:51.9297331Z def call(args):
2023-01-11T21:01:51.9297396Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9297464Z     args.clear()
2023-01-11T21:01:51.9297691Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2023-01-11T21:01:51.9297757Z     del arg0_1
2023-01-11T21:01:51.9297822Z     del arg1_1
2023-01-11T21:01:51.9297884Z     del arg2_1
2023-01-11T21:01:51.9297952Z     return (buf0, )
2023-01-11T21:01:51.9297957Z 
2023-01-11T21:01:51.9297962Z 
2023-01-11T21:01:51.9298033Z if __name__ == "__main__":
2023-01-11T21:01:51.9298130Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9298248Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9298447Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9298642Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9298837Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9298955Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9299225Z [2023-01-11 20:56:05,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259
2023-01-11T21:01:51.9299621Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9299743Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9299986Z [2023-01-11 20:56:05,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260
2023-01-11T21:01:51.9300247Z [2023-01-11 20:56:05,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260
2023-01-11T21:01:51.9300645Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9300773Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9301024Z [2023-01-11 20:56:05,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261
2023-01-11T21:01:51.9301284Z [2023-01-11 20:56:05,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261
2023-01-11T21:01:51.9301677Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9301829Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9302111Z [2023-01-11 20:56:05,261] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262
2023-01-11T21:01:51.9302375Z [2023-01-11 20:56:05,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262
2023-01-11T21:01:51.9302768Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9302880Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9303136Z [2023-01-11 20:56:05,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263
2023-01-11T21:01:51.9303393Z [2023-01-11 20:56:05,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263
2023-01-11T21:01:51.9303788Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9303911Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9304165Z [2023-01-11 20:56:05,373] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264
2023-01-11T21:01:51.9304421Z [2023-01-11 20:56:05,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264
2023-01-11T21:01:51.9304815Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9304939Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9305189Z [2023-01-11 20:56:05,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265
2023-01-11T21:01:51.9305448Z [2023-01-11 20:56:05,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265
2023-01-11T21:01:51.9305826Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9305951Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9306205Z [2023-01-11 20:56:05,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266
2023-01-11T21:01:51.9306463Z [2023-01-11 20:56:05,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266
2023-01-11T21:01:51.9306853Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9306977Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9307228Z [2023-01-11 20:56:05,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267
2023-01-11T21:01:51.9307262Z 
2023-01-11T21:01:51.9307266Z 
2023-01-11T21:01:51.9307358Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9307426Z import torch
2023-01-11T21:01:51.9307496Z import random
2023-01-11T21:01:51.9307624Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9307745Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9307750Z 
2023-01-11T21:01:51.9307824Z aten = torch.ops.aten
2023-01-11T21:01:51.9307957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9308049Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9308054Z 
2023-01-11T21:01:51.9308058Z 
2023-01-11T21:01:51.9308145Z async_compile.wait(globals())
2023-01-11T21:01:51.9308215Z del async_compile
2023-01-11T21:01:51.9308220Z 
2023-01-11T21:01:51.9308286Z def call(args):
2023-01-11T21:01:51.9308361Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9308430Z     args.clear()
2023-01-11T21:01:51.9308658Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2023-01-11T21:01:51.9308729Z     del arg0_1
2023-01-11T21:01:51.9308796Z     del arg1_1
2023-01-11T21:01:51.9308859Z     del arg2_1
2023-01-11T21:01:51.9308921Z     del arg3_1
2023-01-11T21:01:51.9308980Z     return (buf0, )
2023-01-11T21:01:51.9308986Z 
2023-01-11T21:01:51.9309002Z 
2023-01-11T21:01:51.9309062Z if __name__ == "__main__":
2023-01-11T21:01:51.9309171Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9309292Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9309493Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9309686Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9309890Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9310091Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9310207Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9310223Z 
2023-01-11T21:01:51.9310227Z 
2023-01-11T21:01:51.9310307Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9310373Z import torch
2023-01-11T21:01:51.9310445Z import random
2023-01-11T21:01:51.9310557Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9310674Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9310679Z 
2023-01-11T21:01:51.9310754Z aten = torch.ops.aten
2023-01-11T21:01:51.9310883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9310959Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9310975Z 
2023-01-11T21:01:51.9310979Z 
2023-01-11T21:01:51.9311052Z async_compile.wait(globals())
2023-01-11T21:01:51.9311122Z del async_compile
2023-01-11T21:01:51.9311127Z 
2023-01-11T21:01:51.9311196Z def call(args):
2023-01-11T21:01:51.9311276Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9311345Z     args.clear()
2023-01-11T21:01:51.9311565Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2023-01-11T21:01:51.9311630Z     del arg0_1
2023-01-11T21:01:51.9311683Z     del arg1_1
2023-01-11T21:01:51.9311746Z     del arg2_1
2023-01-11T21:01:51.9311816Z     return (buf0, )
2023-01-11T21:01:51.9311821Z 
2023-01-11T21:01:51.9311825Z 
2023-01-11T21:01:51.9311898Z if __name__ == "__main__":
2023-01-11T21:01:51.9312007Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9312125Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9312323Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9312515Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9312715Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9312835Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9312947Z 
2023-01-11T21:01:51.9312951Z 
2023-01-11T21:01:51.9313045Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9313115Z import torch
2023-01-11T21:01:51.9313183Z import random
2023-01-11T21:01:51.9313359Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9313479Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9313488Z 
2023-01-11T21:01:51.9313564Z aten = torch.ops.aten
2023-01-11T21:01:51.9313682Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9313771Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9313776Z 
2023-01-11T21:01:51.9313780Z 
2023-01-11T21:01:51.9313866Z async_compile.wait(globals())
2023-01-11T21:01:51.9313938Z del async_compile
2023-01-11T21:01:51.9313944Z 
2023-01-11T21:01:51.9314012Z def call(args):
2023-01-11T21:01:51.9314097Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9314165Z     args.clear()
2023-01-11T21:01:51.9314384Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2023-01-11T21:01:51.9314452Z     del arg0_1
2023-01-11T21:01:51.9314516Z     del arg1_1
2023-01-11T21:01:51.9314579Z     del arg2_1
2023-01-11T21:01:51.9314642Z     del arg3_1
2023-01-11T21:01:51.9314713Z     return (buf0, )
2023-01-11T21:01:51.9314718Z 
2023-01-11T21:01:51.9314722Z 
2023-01-11T21:01:51.9314793Z if __name__ == "__main__":
2023-01-11T21:01:51.9314905Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9315012Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9315211Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9315406Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9315601Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9315796Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9315923Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9315928Z 
2023-01-11T21:01:51.9315932Z 
2023-01-11T21:01:51.9316022Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9316089Z import torch
2023-01-11T21:01:51.9316147Z import random
2023-01-11T21:01:51.9316256Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9316373Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9316378Z 
2023-01-11T21:01:51.9316455Z aten = torch.ops.aten
2023-01-11T21:01:51.9316582Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9316668Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9316673Z 
2023-01-11T21:01:51.9316678Z 
2023-01-11T21:01:51.9316759Z async_compile.wait(globals())
2023-01-11T21:01:51.9316827Z del async_compile
2023-01-11T21:01:51.9316832Z 
2023-01-11T21:01:51.9316888Z def call(args):
2023-01-11T21:01:51.9316963Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9317033Z     args.clear()
2023-01-11T21:01:51.9317258Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2023-01-11T21:01:51.9317327Z     del arg0_1
2023-01-11T21:01:51.9317390Z     del arg1_1
2023-01-11T21:01:51.9317454Z     del arg2_1
2023-01-11T21:01:51.9317512Z     return (buf0, )
2023-01-11T21:01:51.9317518Z 
2023-01-11T21:01:51.9317522Z 
2023-01-11T21:01:51.9317597Z if __name__ == "__main__":
2023-01-11T21:01:51.9317707Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9317827Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9318025Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9318221Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9318415Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9318533Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9318570Z 
2023-01-11T21:01:51.9318574Z 
2023-01-11T21:01:51.9318654Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9318722Z import torch
2023-01-11T21:01:51.9318792Z import random
2023-01-11T21:01:51.9318928Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9319045Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9319051Z 
2023-01-11T21:01:51.9319126Z aten = torch.ops.aten
2023-01-11T21:01:51.9319254Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9319331Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9319348Z 
2023-01-11T21:01:51.9319352Z 
2023-01-11T21:01:51.9319425Z async_compile.wait(globals())
2023-01-11T21:01:51.9319495Z del async_compile
2023-01-11T21:01:51.9319500Z 
2023-01-11T21:01:51.9319568Z def call(args):
2023-01-11T21:01:51.9319656Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9319723Z     args.clear()
2023-01-11T21:01:51.9319945Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2023-01-11T21:01:51.9320012Z     del arg0_1
2023-01-11T21:01:51.9320064Z     del arg1_1
2023-01-11T21:01:51.9320130Z     del arg2_1
2023-01-11T21:01:51.9320194Z     del arg3_1
2023-01-11T21:01:51.9320266Z     return (buf0, )
2023-01-11T21:01:51.9320271Z 
2023-01-11T21:01:51.9320274Z 
2023-01-11T21:01:51.9320346Z if __name__ == "__main__":
2023-01-11T21:01:51.9320454Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9320571Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9320768Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9320949Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9321151Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9321353Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9321481Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9321487Z 
2023-01-11T21:01:51.9321491Z 
2023-01-11T21:01:51.9321579Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9321645Z import torch
2023-01-11T21:01:51.9321713Z import random
2023-01-11T21:01:51.9321823Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9321929Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9321934Z 
2023-01-11T21:01:51.9322009Z aten = torch.ops.aten
2023-01-11T21:01:51.9322140Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9322228Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9322233Z 
2023-01-11T21:01:51.9322237Z 
2023-01-11T21:01:51.9322322Z async_compile.wait(globals())
2023-01-11T21:01:51.9322392Z del async_compile
2023-01-11T21:01:51.9322397Z 
2023-01-11T21:01:51.9322463Z def call(args):
2023-01-11T21:01:51.9322539Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9322595Z     args.clear()
2023-01-11T21:01:51.9322821Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2023-01-11T21:01:51.9322888Z     del arg0_1
2023-01-11T21:01:51.9322957Z     del arg1_1
2023-01-11T21:01:51.9323017Z     del arg2_1
2023-01-11T21:01:51.9323086Z     return (buf0, )
2023-01-11T21:01:51.9323091Z 
2023-01-11T21:01:51.9323095Z 
2023-01-11T21:01:51.9323170Z if __name__ == "__main__":
2023-01-11T21:01:51.9323268Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9323548Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9323813Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9324018Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9324220Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9324340Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9324400Z 
2023-01-11T21:01:51.9324404Z 
2023-01-11T21:01:51.9324494Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9324561Z import torch
2023-01-11T21:01:51.9324616Z import random
2023-01-11T21:01:51.9324772Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9324892Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9324899Z 
2023-01-11T21:01:51.9324975Z aten = torch.ops.aten
2023-01-11T21:01:51.9325106Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9325193Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9325198Z 
2023-01-11T21:01:51.9325202Z 
2023-01-11T21:01:51.9325285Z async_compile.wait(globals())
2023-01-11T21:01:51.9325355Z del async_compile
2023-01-11T21:01:51.9325360Z 
2023-01-11T21:01:51.9325416Z def call(args):
2023-01-11T21:01:51.9325504Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9325575Z     args.clear()
2023-01-11T21:01:51.9325800Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2023-01-11T21:01:51.9325865Z     del arg0_1
2023-01-11T21:01:51.9325928Z     del arg1_1
2023-01-11T21:01:51.9325991Z     del arg2_1
2023-01-11T21:01:51.9326042Z     del arg3_1
2023-01-11T21:01:51.9326112Z     return (buf0, )
2023-01-11T21:01:51.9326117Z 
2023-01-11T21:01:51.9326121Z 
2023-01-11T21:01:51.9326195Z if __name__ == "__main__":
2023-01-11T21:01:51.9326308Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9326428Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9326625Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9326818Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9327013Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9327196Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9327322Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9327328Z 
2023-01-11T21:01:51.9327333Z 
2023-01-11T21:01:51.9327424Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9327493Z import torch
2023-01-11T21:01:51.9327564Z import random
2023-01-11T21:01:51.9327675Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9327792Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9327797Z 
2023-01-11T21:01:51.9327870Z aten = torch.ops.aten
2023-01-11T21:01:51.9327987Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9328074Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9328080Z 
2023-01-11T21:01:51.9328084Z 
2023-01-11T21:01:51.9328169Z async_compile.wait(globals())
2023-01-11T21:01:51.9328240Z del async_compile
2023-01-11T21:01:51.9328245Z 
2023-01-11T21:01:51.9328311Z def call(args):
2023-01-11T21:01:51.9328387Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9328453Z     args.clear()
2023-01-11T21:01:51.9328665Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2023-01-11T21:01:51.9328730Z     del arg0_1
2023-01-11T21:01:51.9328794Z     del arg1_1
2023-01-11T21:01:51.9328859Z     del arg2_1
2023-01-11T21:01:51.9328933Z     return (buf0, )
2023-01-11T21:01:51.9328939Z 
2023-01-11T21:01:51.9328943Z 
2023-01-11T21:01:51.9329013Z if __name__ == "__main__":
2023-01-11T21:01:51.9329122Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9329240Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9329427Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9329622Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9329814Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9329935Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9330234Z [2023-01-11 20:56:05,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267
2023-01-11T21:01:51.9330655Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9330781Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9331034Z [2023-01-11 20:56:05,594] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268
2023-01-11T21:01:51.9331296Z [2023-01-11 20:56:05,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268
2023-01-11T21:01:51.9331690Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9331807Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9332061Z [2023-01-11 20:56:05,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269
2023-01-11T21:01:51.9332318Z [2023-01-11 20:56:05,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269
2023-01-11T21:01:51.9332712Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9332837Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9333092Z [2023-01-11 20:56:05,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270
2023-01-11T21:01:51.9333353Z [2023-01-11 20:56:05,705] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270
2023-01-11T21:01:51.9333744Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9333865Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9334118Z [2023-01-11 20:56:05,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271
2023-01-11T21:01:51.9334375Z [2023-01-11 20:56:05,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271
2023-01-11T21:01:51.9334382Z 
2023-01-11T21:01:51.9334387Z 
2023-01-11T21:01:51.9334477Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9334533Z import torch
2023-01-11T21:01:51.9334600Z import random
2023-01-11T21:01:51.9334717Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9334834Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9334839Z 
2023-01-11T21:01:51.9334915Z aten = torch.ops.aten
2023-01-11T21:01:51.9335046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9335134Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9335140Z 
2023-01-11T21:01:51.9335144Z 
2023-01-11T21:01:51.9335217Z async_compile.wait(globals())
2023-01-11T21:01:51.9335287Z del async_compile
2023-01-11T21:01:51.9335292Z 
2023-01-11T21:01:51.9335362Z def call(args):
2023-01-11T21:01:51.9335450Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9335521Z     args.clear()
2023-01-11T21:01:51.9335747Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2023-01-11T21:01:51.9335840Z     del arg0_1
2023-01-11T21:01:51.9335894Z     del arg1_1
2023-01-11T21:01:51.9335956Z     del arg2_1
2023-01-11T21:01:51.9336018Z     del arg3_1
2023-01-11T21:01:51.9336116Z     return (buf0, )
2023-01-11T21:01:51.9336122Z 
2023-01-11T21:01:51.9336128Z 
2023-01-11T21:01:51.9336202Z if __name__ == "__main__":
2023-01-11T21:01:51.9336314Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9336433Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9336634Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9336815Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9337015Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9337221Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9337347Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9337352Z 
2023-01-11T21:01:51.9337356Z 
2023-01-11T21:01:51.9337448Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9337512Z import torch
2023-01-11T21:01:51.9337582Z import random
2023-01-11T21:01:51.9337696Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9337803Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9337808Z 
2023-01-11T21:01:51.9337882Z aten = torch.ops.aten
2023-01-11T21:01:51.9338014Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9338104Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9338109Z 
2023-01-11T21:01:51.9338113Z 
2023-01-11T21:01:51.9338197Z async_compile.wait(globals())
2023-01-11T21:01:51.9338266Z del async_compile
2023-01-11T21:01:51.9338271Z 
2023-01-11T21:01:51.9338338Z def call(args):
2023-01-11T21:01:51.9338415Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9338474Z     args.clear()
2023-01-11T21:01:51.9338694Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2023-01-11T21:01:51.9338763Z     del arg0_1
2023-01-11T21:01:51.9338826Z     del arg1_1
2023-01-11T21:01:51.9338890Z     del arg2_1
2023-01-11T21:01:51.9338958Z     return (buf0, )
2023-01-11T21:01:51.9338963Z 
2023-01-11T21:01:51.9338967Z 
2023-01-11T21:01:51.9339038Z if __name__ == "__main__":
2023-01-11T21:01:51.9339136Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9339255Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9339454Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9339655Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9339855Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9339973Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9339980Z 
2023-01-11T21:01:51.9339984Z 
2023-01-11T21:01:51.9340074Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9340139Z import torch
2023-01-11T21:01:51.9340196Z import random
2023-01-11T21:01:51.9340309Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9340430Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9340434Z 
2023-01-11T21:01:51.9340508Z aten = torch.ops.aten
2023-01-11T21:01:51.9340640Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9340726Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9340731Z 
2023-01-11T21:01:51.9340735Z 
2023-01-11T21:01:51.9340819Z async_compile.wait(globals())
2023-01-11T21:01:51.9340887Z del async_compile
2023-01-11T21:01:51.9340892Z 
2023-01-11T21:01:51.9340948Z def call(args):
2023-01-11T21:01:51.9341036Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9341105Z     args.clear()
2023-01-11T21:01:51.9341327Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2023-01-11T21:01:51.9341424Z     del arg0_1
2023-01-11T21:01:51.9341488Z     del arg1_1
2023-01-11T21:01:51.9341549Z     del arg2_1
2023-01-11T21:01:51.9341601Z     del arg3_1
2023-01-11T21:01:51.9341695Z     return (buf0, )
2023-01-11T21:01:51.9341701Z 
2023-01-11T21:01:51.9341705Z 
2023-01-11T21:01:51.9341782Z if __name__ == "__main__":
2023-01-11T21:01:51.9341893Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9342017Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9342218Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9342408Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9342603Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9342785Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9342914Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9342920Z 
2023-01-11T21:01:51.9342924Z 
2023-01-11T21:01:51.9343016Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9343090Z import torch
2023-01-11T21:01:51.9343163Z import random
2023-01-11T21:01:51.9343274Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9343390Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9343395Z 
2023-01-11T21:01:51.9343468Z aten = torch.ops.aten
2023-01-11T21:01:51.9343585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9343673Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9343678Z 
2023-01-11T21:01:51.9343682Z 
2023-01-11T21:01:51.9343765Z async_compile.wait(globals())
2023-01-11T21:01:51.9343835Z del async_compile
2023-01-11T21:01:51.9343840Z 
2023-01-11T21:01:51.9343911Z def call(args):
2023-01-11T21:01:51.9343990Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9344059Z     args.clear()
2023-01-11T21:01:51.9344283Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2023-01-11T21:01:51.9344336Z     del arg0_1
2023-01-11T21:01:51.9344400Z     del arg1_1
2023-01-11T21:01:51.9344462Z     del arg2_1
2023-01-11T21:01:51.9344535Z     return (buf0, )
2023-01-11T21:01:51.9344540Z 
2023-01-11T21:01:51.9344543Z 
2023-01-11T21:01:51.9344616Z if __name__ == "__main__":
2023-01-11T21:01:51.9344724Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9344841Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9345026Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9345221Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9345414Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9345536Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9345543Z 
2023-01-11T21:01:51.9345607Z ok (1.593s)
2023-01-11T21:01:51.9346053Z   test_linear_packed_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9346178Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9346432Z [2023-01-11 20:56:05,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272
2023-01-11T21:01:51.9346692Z [2023-01-11 20:56:05,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272
2023-01-11T21:01:51.9347085Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9347263Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9347507Z [2023-01-11 20:56:05,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273
2023-01-11T21:01:51.9347765Z [2023-01-11 20:56:05,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273
2023-01-11T21:01:51.9348159Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9348281Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9348536Z [2023-01-11 20:56:05,871] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274
2023-01-11T21:01:51.9348795Z [2023-01-11 20:56:05,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274
2023-01-11T21:01:51.9349186Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9349309Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9349559Z [2023-01-11 20:56:05,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275
2023-01-11T21:01:51.9349815Z [2023-01-11 20:56:05,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275
2023-01-11T21:01:51.9349823Z 
2023-01-11T21:01:51.9349914Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9349970Z import torch
2023-01-11T21:01:51.9350037Z import random
2023-01-11T21:01:51.9350152Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9350270Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9350275Z 
2023-01-11T21:01:51.9350351Z aten = torch.ops.aten
2023-01-11T21:01:51.9350482Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9350571Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9350576Z 
2023-01-11T21:01:51.9350580Z 
2023-01-11T21:01:51.9350654Z async_compile.wait(globals())
2023-01-11T21:01:51.9350724Z del async_compile
2023-01-11T21:01:51.9350729Z 
2023-01-11T21:01:51.9350794Z def call(args):
2023-01-11T21:01:51.9350884Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9350952Z     args.clear()
2023-01-11T21:01:51.9351075Z     buf0 = torch.ops.mkl._mkl_linear(arg3_1, arg2_1, arg0_1, arg1_1, 6)
2023-01-11T21:01:51.9351141Z     del arg0_1
2023-01-11T21:01:51.9351194Z     del arg1_1
2023-01-11T21:01:51.9351257Z     del arg2_1
2023-01-11T21:01:51.9351320Z     del arg3_1
2023-01-11T21:01:51.9351389Z     return (buf0, )
2023-01-11T21:01:51.9351394Z 
2023-01-11T21:01:51.9351400Z 
2023-01-11T21:01:51.9351474Z if __name__ == "__main__":
2023-01-11T21:01:51.9351584Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9351703Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9351900Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9352080Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9352278Z     arg2_1 = rand_strided((1982689, 1), (1, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9352480Z     arg3_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9352607Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9352641Z 
2023-01-11T21:01:51.9352646Z 
2023-01-11T21:01:51.9352738Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9352805Z import torch
2023-01-11T21:01:51.9352941Z import random
2023-01-11T21:01:51.9353088Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9353198Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9353203Z 
2023-01-11T21:01:51.9353278Z aten = torch.ops.aten
2023-01-11T21:01:51.9353407Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9353498Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9353503Z 
2023-01-11T21:01:51.9353507Z 
2023-01-11T21:01:51.9353592Z async_compile.wait(globals())
2023-01-11T21:01:51.9353661Z del async_compile
2023-01-11T21:01:51.9353666Z 
2023-01-11T21:01:51.9353734Z def call(args):
2023-01-11T21:01:51.9353814Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9353871Z     args.clear()
2023-01-11T21:01:51.9353993Z     buf0 = torch.ops.mkl._mkl_linear(arg2_1, arg1_1, arg0_1, None, 6)
2023-01-11T21:01:51.9354063Z     del arg0_1
2023-01-11T21:01:51.9354127Z     del arg1_1
2023-01-11T21:01:51.9354190Z     del arg2_1
2023-01-11T21:01:51.9354259Z     return (buf0, )
2023-01-11T21:01:51.9354264Z 
2023-01-11T21:01:51.9354270Z 
2023-01-11T21:01:51.9354342Z if __name__ == "__main__":
2023-01-11T21:01:51.9354442Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9354560Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9354762Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9354964Z     arg1_1 = rand_strided((1982689, 1), (1, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9355164Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9355281Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9355286Z 
2023-01-11T21:01:51.9355290Z 
2023-01-11T21:01:51.9355382Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9355447Z import torch
2023-01-11T21:01:51.9355503Z import random
2023-01-11T21:01:51.9355614Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9355738Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9355743Z 
2023-01-11T21:01:51.9355820Z aten = torch.ops.aten
2023-01-11T21:01:51.9355949Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9356035Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9356040Z 
2023-01-11T21:01:51.9356044Z 
2023-01-11T21:01:51.9356128Z async_compile.wait(globals())
2023-01-11T21:01:51.9356196Z del async_compile
2023-01-11T21:01:51.9356201Z 
2023-01-11T21:01:51.9356257Z def call(args):
2023-01-11T21:01:51.9356341Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2023-01-11T21:01:51.9356411Z     args.clear()
2023-01-11T21:01:51.9356534Z     buf0 = torch.ops.mkl._mkl_linear(arg3_1, arg2_1, arg0_1, arg1_1, 2)
2023-01-11T21:01:51.9356600Z     del arg0_1
2023-01-11T21:01:51.9356665Z     del arg1_1
2023-01-11T21:01:51.9356727Z     del arg2_1
2023-01-11T21:01:51.9356778Z     del arg3_1
2023-01-11T21:01:51.9356846Z     return (buf0, )
2023-01-11T21:01:51.9356851Z 
2023-01-11T21:01:51.9356855Z 
2023-01-11T21:01:51.9356932Z if __name__ == "__main__":
2023-01-11T21:01:51.9357043Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9357160Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9357354Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9357542Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9357742Z     arg2_1 = rand_strided((1982689, 1), (1, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9357924Z     arg3_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9358049Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2023-01-11T21:01:51.9358084Z 
2023-01-11T21:01:51.9358089Z 
2023-01-11T21:01:51.9358180Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9358250Z import torch
2023-01-11T21:01:51.9358320Z import random
2023-01-11T21:01:51.9358430Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9358573Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9358579Z 
2023-01-11T21:01:51.9358653Z aten = torch.ops.aten
2023-01-11T21:01:51.9358771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9358858Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9358863Z 
2023-01-11T21:01:51.9358868Z 
2023-01-11T21:01:51.9358954Z async_compile.wait(globals())
2023-01-11T21:01:51.9359026Z del async_compile
2023-01-11T21:01:51.9359031Z 
2023-01-11T21:01:51.9359100Z def call(args):
2023-01-11T21:01:51.9359177Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9359244Z     args.clear()
2023-01-11T21:01:51.9359365Z     buf0 = torch.ops.mkl._mkl_linear(arg2_1, arg1_1, arg0_1, None, 2)
2023-01-11T21:01:51.9359421Z     del arg0_1
2023-01-11T21:01:51.9359484Z     del arg1_1
2023-01-11T21:01:51.9359550Z     del arg2_1
2023-01-11T21:01:51.9359620Z     return (buf0, )
2023-01-11T21:01:51.9359626Z 
2023-01-11T21:01:51.9359630Z 
2023-01-11T21:01:51.9359705Z if __name__ == "__main__":
2023-01-11T21:01:51.9359814Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9359933Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9360119Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9360319Z     arg1_1 = rand_strided((1982689, 1), (1, 0), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9360514Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9360631Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9360636Z 
2023-01-11T21:01:51.9360699Z ok (0.192s)
2023-01-11T21:01:51.9361140Z   test_linear_unary_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9361266Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9361523Z [2023-01-11 20:56:06,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276
2023-01-11T21:01:51.9361784Z [2023-01-11 20:56:06,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276
2023-01-11T21:01:51.9362176Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9362290Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9362545Z [2023-01-11 20:56:06,036] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277
2023-01-11T21:01:51.9362806Z [2023-01-11 20:56:06,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277
2023-01-11T21:01:51.9363200Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9363322Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9363784Z [2023-01-11 20:56:06,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278
2023-01-11T21:01:51.9364113Z [2023-01-11 20:56:06,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278
2023-01-11T21:01:51.9364555Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9364682Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9364932Z [2023-01-11 20:56:06,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279
2023-01-11T21:01:51.9365190Z [2023-01-11 20:56:06,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279
2023-01-11T21:01:51.9365578Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9365693Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9365942Z [2023-01-11 20:56:06,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280
2023-01-11T21:01:51.9366201Z [2023-01-11 20:56:06,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280
2023-01-11T21:01:51.9366592Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9366713Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9366967Z [2023-01-11 20:56:06,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281
2023-01-11T21:01:51.9367228Z [2023-01-11 20:56:06,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281
2023-01-11T21:01:51.9367622Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9367744Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9367997Z [2023-01-11 20:56:06,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282
2023-01-11T21:01:51.9368253Z [2023-01-11 20:56:06,334] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282
2023-01-11T21:01:51.9368636Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9368758Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9369006Z [2023-01-11 20:56:06,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283
2023-01-11T21:01:51.9369264Z [2023-01-11 20:56:06,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283
2023-01-11T21:01:51.9369654Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9369807Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9370085Z [2023-01-11 20:56:06,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284
2023-01-11T21:01:51.9370093Z 
2023-01-11T21:01:51.9370184Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9370257Z import torch
2023-01-11T21:01:51.9370323Z import random
2023-01-11T21:01:51.9370425Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9370542Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9370548Z 
2023-01-11T21:01:51.9370628Z aten = torch.ops.aten
2023-01-11T21:01:51.9370763Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9370853Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9370858Z 
2023-01-11T21:01:51.9370863Z 
2023-01-11T21:01:51.9370947Z async_compile.wait(globals())
2023-01-11T21:01:51.9371018Z del async_compile
2023-01-11T21:01:51.9371023Z 
2023-01-11T21:01:51.9371089Z def call(args):
2023-01-11T21:01:51.9371158Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9371224Z     args.clear()
2023-01-11T21:01:51.9371441Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '')
2023-01-11T21:01:51.9371508Z     del arg0_1
2023-01-11T21:01:51.9371571Z     del arg1_1
2023-01-11T21:01:51.9371633Z     del arg2_1
2023-01-11T21:01:51.9371699Z     return (buf0, )
2023-01-11T21:01:51.9371704Z 
2023-01-11T21:01:51.9371708Z 
2023-01-11T21:01:51.9371768Z if __name__ == "__main__":
2023-01-11T21:01:51.9371879Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9371999Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9372201Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9372395Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9372597Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9372717Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9372722Z 
2023-01-11T21:01:51.9372726Z 
2023-01-11T21:01:51.9372819Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9372876Z import torch
2023-01-11T21:01:51.9372944Z import random
2023-01-11T21:01:51.9373058Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9373176Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9373181Z 
2023-01-11T21:01:51.9373256Z aten = torch.ops.aten
2023-01-11T21:01:51.9373387Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9373474Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9373479Z 
2023-01-11T21:01:51.9373483Z 
2023-01-11T21:01:51.9373566Z async_compile.wait(globals())
2023-01-11T21:01:51.9373624Z del async_compile
2023-01-11T21:01:51.9373629Z 
2023-01-11T21:01:51.9373698Z def call(args):
2023-01-11T21:01:51.9373770Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9373837Z     args.clear()
2023-01-11T21:01:51.9374047Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '')
2023-01-11T21:01:51.9374115Z     del arg0_1
2023-01-11T21:01:51.9374178Z     del arg1_1
2023-01-11T21:01:51.9374234Z     return (buf0, )
2023-01-11T21:01:51.9374240Z 
2023-01-11T21:01:51.9374254Z 
2023-01-11T21:01:51.9374315Z if __name__ == "__main__":
2023-01-11T21:01:51.9374424Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9374542Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9374741Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9374944Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9375055Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9375060Z 
2023-01-11T21:01:51.9375095Z 
2023-01-11T21:01:51.9375186Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9375253Z import torch
2023-01-11T21:01:51.9375310Z import random
2023-01-11T21:01:51.9375420Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9375567Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9375573Z 
2023-01-11T21:01:51.9375649Z aten = torch.ops.aten
2023-01-11T21:01:51.9375779Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9375867Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9375873Z 
2023-01-11T21:01:51.9375877Z 
2023-01-11T21:01:51.9375960Z async_compile.wait(globals())
2023-01-11T21:01:51.9376018Z del async_compile
2023-01-11T21:01:51.9376034Z 
2023-01-11T21:01:51.9376089Z def call(args):
2023-01-11T21:01:51.9376171Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9376242Z     args.clear()
2023-01-11T21:01:51.9376454Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '')
2023-01-11T21:01:51.9376521Z     del arg0_1
2023-01-11T21:01:51.9376583Z     del arg1_1
2023-01-11T21:01:51.9376635Z     del arg2_1
2023-01-11T21:01:51.9376702Z     return (buf0, )
2023-01-11T21:01:51.9376707Z 
2023-01-11T21:01:51.9376711Z 
2023-01-11T21:01:51.9376786Z if __name__ == "__main__":
2023-01-11T21:01:51.9376899Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9377018Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9377216Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9377408Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9377601Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9377708Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9377726Z 
2023-01-11T21:01:51.9377729Z 
2023-01-11T21:01:51.9377809Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9377875Z import torch
2023-01-11T21:01:51.9377946Z import random
2023-01-11T21:01:51.9378057Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9378174Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9378179Z 
2023-01-11T21:01:51.9378254Z aten = torch.ops.aten
2023-01-11T21:01:51.9378383Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9378459Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9378475Z 
2023-01-11T21:01:51.9378480Z 
2023-01-11T21:01:51.9378552Z async_compile.wait(globals())
2023-01-11T21:01:51.9378620Z del async_compile
2023-01-11T21:01:51.9378625Z 
2023-01-11T21:01:51.9378694Z def call(args):
2023-01-11T21:01:51.9378765Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9378832Z     args.clear()
2023-01-11T21:01:51.9379041Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '')
2023-01-11T21:01:51.9379108Z     del arg0_1
2023-01-11T21:01:51.9379161Z     del arg1_1
2023-01-11T21:01:51.9379231Z     return (buf0, )
2023-01-11T21:01:51.9379238Z 
2023-01-11T21:01:51.9379242Z 
2023-01-11T21:01:51.9379316Z if __name__ == "__main__":
2023-01-11T21:01:51.9379426Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9379545Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9379743Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9379936Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9380047Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9380052Z 
2023-01-11T21:01:51.9380057Z 
2023-01-11T21:01:51.9380135Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9380201Z import torch
2023-01-11T21:01:51.9380272Z import random
2023-01-11T21:01:51.9380387Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9380502Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9380507Z 
2023-01-11T21:01:51.9380610Z aten = torch.ops.aten
2023-01-11T21:01:51.9380739Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9380815Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9380831Z 
2023-01-11T21:01:51.9380836Z 
2023-01-11T21:01:51.9380935Z async_compile.wait(globals())
2023-01-11T21:01:51.9381007Z del async_compile
2023-01-11T21:01:51.9381012Z 
2023-01-11T21:01:51.9381078Z def call(args):
2023-01-11T21:01:51.9381159Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9381226Z     args.clear()
2023-01-11T21:01:51.9381444Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '')
2023-01-11T21:01:51.9381508Z     del arg0_1
2023-01-11T21:01:51.9381561Z     del arg1_1
2023-01-11T21:01:51.9381627Z     del arg2_1
2023-01-11T21:01:51.9381701Z     return (buf0, )
2023-01-11T21:01:51.9381706Z 
2023-01-11T21:01:51.9381710Z 
2023-01-11T21:01:51.9381786Z if __name__ == "__main__":
2023-01-11T21:01:51.9381897Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9382016Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9382214Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9382408Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9382599Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9382717Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9382723Z 
2023-01-11T21:01:51.9382727Z 
2023-01-11T21:01:51.9382820Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9382890Z import torch
2023-01-11T21:01:51.9382959Z import random
2023-01-11T21:01:51.9383069Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9383185Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9383190Z 
2023-01-11T21:01:51.9383263Z aten = torch.ops.aten
2023-01-11T21:01:51.9383380Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9383471Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9383476Z 
2023-01-11T21:01:51.9383480Z 
2023-01-11T21:01:51.9383564Z async_compile.wait(globals())
2023-01-11T21:01:51.9383635Z del async_compile
2023-01-11T21:01:51.9383643Z 
2023-01-11T21:01:51.9383709Z def call(args):
2023-01-11T21:01:51.9383781Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9383847Z     args.clear()
2023-01-11T21:01:51.9384049Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '')
2023-01-11T21:01:51.9384114Z     del arg0_1
2023-01-11T21:01:51.9384178Z     del arg1_1
2023-01-11T21:01:51.9384248Z     return (buf0, )
2023-01-11T21:01:51.9384253Z 
2023-01-11T21:01:51.9384257Z 
2023-01-11T21:01:51.9384331Z if __name__ == "__main__":
2023-01-11T21:01:51.9384439Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9384556Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9384754Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9384948Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9385059Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9385067Z 
2023-01-11T21:01:51.9385071Z 
2023-01-11T21:01:51.9385162Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9385231Z import torch
2023-01-11T21:01:51.9385300Z import random
2023-01-11T21:01:51.9385412Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9385526Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9385531Z 
2023-01-11T21:01:51.9385603Z aten = torch.ops.aten
2023-01-11T21:01:51.9385719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9385806Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9385811Z 
2023-01-11T21:01:51.9385815Z 
2023-01-11T21:01:51.9385898Z async_compile.wait(globals())
2023-01-11T21:01:51.9385968Z del async_compile
2023-01-11T21:01:51.9386005Z 
2023-01-11T21:01:51.9386073Z def call(args):
2023-01-11T21:01:51.9386150Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9386215Z     args.clear()
2023-01-11T21:01:51.9386461Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '')
2023-01-11T21:01:51.9386516Z     del arg0_1
2023-01-11T21:01:51.9386582Z     del arg1_1
2023-01-11T21:01:51.9386648Z     del arg2_1
2023-01-11T21:01:51.9386715Z     return (buf0, )
2023-01-11T21:01:51.9386720Z 
2023-01-11T21:01:51.9386724Z 
2023-01-11T21:01:51.9386794Z if __name__ == "__main__":
2023-01-11T21:01:51.9386902Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9387020Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9387209Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9387401Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9387594Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9387715Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9387720Z 
2023-01-11T21:01:51.9387724Z 
2023-01-11T21:01:51.9387815Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9387883Z import torch
2023-01-11T21:01:51.9387951Z import random
2023-01-11T21:01:51.9388062Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9388169Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9388174Z 
2023-01-11T21:01:51.9388248Z aten = torch.ops.aten
2023-01-11T21:01:51.9388377Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9388465Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9388470Z 
2023-01-11T21:01:51.9388475Z 
2023-01-11T21:01:51.9388560Z async_compile.wait(globals())
2023-01-11T21:01:51.9388628Z del async_compile
2023-01-11T21:01:51.9388633Z 
2023-01-11T21:01:51.9388699Z def call(args):
2023-01-11T21:01:51.9388776Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9388832Z     args.clear()
2023-01-11T21:01:51.9389041Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '')
2023-01-11T21:01:51.9389105Z     del arg0_1
2023-01-11T21:01:51.9389174Z     del arg1_1
2023-01-11T21:01:51.9389243Z     return (buf0, )
2023-01-11T21:01:51.9389248Z 
2023-01-11T21:01:51.9389252Z 
2023-01-11T21:01:51.9389323Z if __name__ == "__main__":
2023-01-11T21:01:51.9389432Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9389550Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9389737Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9389928Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9390040Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9390045Z 
2023-01-11T21:01:51.9390050Z 
2023-01-11T21:01:51.9390141Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9390209Z import torch
2023-01-11T21:01:51.9390275Z import random
2023-01-11T21:01:51.9390384Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9390488Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9390506Z 
2023-01-11T21:01:51.9390570Z aten = torch.ops.aten
2023-01-11T21:01:51.9390697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9390790Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9390795Z 
2023-01-11T21:01:51.9390799Z 
2023-01-11T21:01:51.9390883Z async_compile.wait(globals())
2023-01-11T21:01:51.9390952Z del async_compile
2023-01-11T21:01:51.9390957Z 
2023-01-11T21:01:51.9391024Z def call(args):
2023-01-11T21:01:51.9391104Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9391161Z     args.clear()
2023-01-11T21:01:51.9391371Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '')
2023-01-11T21:01:51.9391436Z     del arg0_1
2023-01-11T21:01:51.9391532Z     del arg1_1
2023-01-11T21:01:51.9391595Z     del arg2_1
2023-01-11T21:01:51.9391665Z     return (buf0, )
2023-01-11T21:01:51.9391670Z 
2023-01-11T21:01:51.9391674Z 
2023-01-11T21:01:51.9391745Z if __name__ == "__main__":
2023-01-11T21:01:51.9391882Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9391991Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9392189Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9392386Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9392588Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9392707Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9393055Z [2023-01-11 20:56:06,442] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284
2023-01-11T21:01:51.9393455Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9393583Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9393843Z [2023-01-11 20:56:06,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285
2023-01-11T21:01:51.9394093Z [2023-01-11 20:56:06,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285
2023-01-11T21:01:51.9394487Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9394614Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9394870Z [2023-01-11 20:56:06,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286
2023-01-11T21:01:51.9395130Z [2023-01-11 20:56:06,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286
2023-01-11T21:01:51.9395525Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9395651Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9395901Z [2023-01-11 20:56:06,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287
2023-01-11T21:01:51.9396161Z [2023-01-11 20:56:06,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287
2023-01-11T21:01:51.9396556Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9396680Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9396920Z [2023-01-11 20:56:06,680] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288
2023-01-11T21:01:51.9397176Z [2023-01-11 20:56:06,682] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288
2023-01-11T21:01:51.9397565Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9397722Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9398004Z [2023-01-11 20:56:06,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289
2023-01-11T21:01:51.9398264Z [2023-01-11 20:56:06,738] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289
2023-01-11T21:01:51.9398660Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9398781Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9399032Z [2023-01-11 20:56:06,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290
2023-01-11T21:01:51.9399288Z [2023-01-11 20:56:06,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290
2023-01-11T21:01:51.9399681Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9399803Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9400042Z [2023-01-11 20:56:06,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291
2023-01-11T21:01:51.9400297Z [2023-01-11 20:56:06,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291
2023-01-11T21:01:51.9400691Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9400813Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9401066Z [2023-01-11 20:56:06,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292
2023-01-11T21:01:51.9401365Z [2023-01-11 20:56:06,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292
2023-01-11T21:01:51.9401756Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9401878Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9402130Z [2023-01-11 20:56:07,002] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293
2023-01-11T21:01:51.9402136Z 
2023-01-11T21:01:51.9402141Z 
2023-01-11T21:01:51.9402232Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9402299Z import torch
2023-01-11T21:01:51.9402356Z import random
2023-01-11T21:01:51.9402467Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9402588Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9402593Z 
2023-01-11T21:01:51.9402671Z aten = torch.ops.aten
2023-01-11T21:01:51.9402800Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9402888Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9402893Z 
2023-01-11T21:01:51.9402897Z 
2023-01-11T21:01:51.9402981Z async_compile.wait(globals())
2023-01-11T21:01:51.9403123Z del async_compile
2023-01-11T21:01:51.9403128Z 
2023-01-11T21:01:51.9403184Z def call(args):
2023-01-11T21:01:51.9403257Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9403328Z     args.clear()
2023-01-11T21:01:51.9403791Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '')
2023-01-11T21:01:51.9403863Z     del arg0_1
2023-01-11T21:01:51.9403928Z     del arg1_1
2023-01-11T21:01:51.9403997Z     return (buf0, )
2023-01-11T21:01:51.9404003Z 
2023-01-11T21:01:51.9404007Z 
2023-01-11T21:01:51.9404067Z if __name__ == "__main__":
2023-01-11T21:01:51.9404178Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9404301Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9404505Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9404710Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9404822Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9404829Z 
2023-01-11T21:01:51.9404833Z 
2023-01-11T21:01:51.9404927Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9404995Z import torch
2023-01-11T21:01:51.9405051Z import random
2023-01-11T21:01:51.9405163Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9405285Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9405290Z 
2023-01-11T21:01:51.9405369Z aten = torch.ops.aten
2023-01-11T21:01:51.9405500Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9405589Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9405594Z 
2023-01-11T21:01:51.9405598Z 
2023-01-11T21:01:51.9405682Z async_compile.wait(globals())
2023-01-11T21:01:51.9405751Z del async_compile
2023-01-11T21:01:51.9405757Z 
2023-01-11T21:01:51.9405813Z def call(args):
2023-01-11T21:01:51.9405892Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9405959Z     args.clear()
2023-01-11T21:01:51.9406167Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '')
2023-01-11T21:01:51.9406238Z     del arg0_1
2023-01-11T21:01:51.9406302Z     del arg1_1
2023-01-11T21:01:51.9406365Z     del arg2_1
2023-01-11T21:01:51.9406433Z     return (buf0, )
2023-01-11T21:01:51.9406440Z 
2023-01-11T21:01:51.9406444Z 
2023-01-11T21:01:51.9406516Z if __name__ == "__main__":
2023-01-11T21:01:51.9406628Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9406735Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9406935Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9407128Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9407323Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9407444Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9407450Z 
2023-01-11T21:01:51.9407454Z 
2023-01-11T21:01:51.9407548Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9407615Z import torch
2023-01-11T21:01:51.9407684Z import random
2023-01-11T21:01:51.9407785Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9407905Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9407910Z 
2023-01-11T21:01:51.9407983Z aten = torch.ops.aten
2023-01-11T21:01:51.9408111Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9408199Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9408204Z 
2023-01-11T21:01:51.9408209Z 
2023-01-11T21:01:51.9408293Z async_compile.wait(globals())
2023-01-11T21:01:51.9408363Z del async_compile
2023-01-11T21:01:51.9408368Z 
2023-01-11T21:01:51.9408436Z def call(args):
2023-01-11T21:01:51.9408497Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9408565Z     args.clear()
2023-01-11T21:01:51.9408774Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '')
2023-01-11T21:01:51.9408838Z     del arg0_1
2023-01-11T21:01:51.9408951Z     del arg1_1
2023-01-11T21:01:51.9409019Z     return (buf0, )
2023-01-11T21:01:51.9409024Z 
2023-01-11T21:01:51.9409028Z 
2023-01-11T21:01:51.9409102Z if __name__ == "__main__":
2023-01-11T21:01:51.9409226Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9409347Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9409545Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9409742Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9409853Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9409858Z 
2023-01-11T21:01:51.9409862Z 
2023-01-11T21:01:51.9409951Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9410019Z import torch
2023-01-11T21:01:51.9410087Z import random
2023-01-11T21:01:51.9410187Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9410303Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9410311Z 
2023-01-11T21:01:51.9410386Z aten = torch.ops.aten
2023-01-11T21:01:51.9410518Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9410606Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9410613Z 
2023-01-11T21:01:51.9410617Z 
2023-01-11T21:01:51.9410702Z async_compile.wait(globals())
2023-01-11T21:01:51.9410772Z del async_compile
2023-01-11T21:01:51.9410776Z 
2023-01-11T21:01:51.9410842Z def call(args):
2023-01-11T21:01:51.9410910Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9410977Z     args.clear()
2023-01-11T21:01:51.9411196Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '')
2023-01-11T21:01:51.9411262Z     del arg0_1
2023-01-11T21:01:51.9411327Z     del arg1_1
2023-01-11T21:01:51.9411389Z     del arg2_1
2023-01-11T21:01:51.9411458Z     return (buf0, )
2023-01-11T21:01:51.9411464Z 
2023-01-11T21:01:51.9411468Z 
2023-01-11T21:01:51.9411529Z if __name__ == "__main__":
2023-01-11T21:01:51.9411640Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9411759Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9411958Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9412152Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9412353Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9412473Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9412478Z 
2023-01-11T21:01:51.9412483Z 
2023-01-11T21:01:51.9412573Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9412628Z import torch
2023-01-11T21:01:51.9412696Z import random
2023-01-11T21:01:51.9412806Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9412923Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9412927Z 
2023-01-11T21:01:51.9413002Z aten = torch.ops.aten
2023-01-11T21:01:51.9413134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9413222Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9413227Z 
2023-01-11T21:01:51.9413232Z 
2023-01-11T21:01:51.9413317Z async_compile.wait(globals())
2023-01-11T21:01:51.9413375Z del async_compile
2023-01-11T21:01:51.9413380Z 
2023-01-11T21:01:51.9413448Z def call(args):
2023-01-11T21:01:51.9413521Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9413588Z     args.clear()
2023-01-11T21:01:51.9413806Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '')
2023-01-11T21:01:51.9413871Z     del arg0_1
2023-01-11T21:01:51.9413935Z     del arg1_1
2023-01-11T21:01:51.9413992Z     return (buf0, )
2023-01-11T21:01:51.9413997Z 
2023-01-11T21:01:51.9414012Z 
2023-01-11T21:01:51.9414073Z if __name__ == "__main__":
2023-01-11T21:01:51.9414182Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9414300Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9414535Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9414740Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9414878Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9414884Z 
2023-01-11T21:01:51.9414888Z 
2023-01-11T21:01:51.9414980Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9415048Z import torch
2023-01-11T21:01:51.9415105Z import random
2023-01-11T21:01:51.9415217Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9415333Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9415339Z 
2023-01-11T21:01:51.9415414Z aten = torch.ops.aten
2023-01-11T21:01:51.9415544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9415632Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9415636Z 
2023-01-11T21:01:51.9415641Z 
2023-01-11T21:01:51.9415728Z async_compile.wait(globals())
2023-01-11T21:01:51.9415785Z del async_compile
2023-01-11T21:01:51.9415803Z 
2023-01-11T21:01:51.9415859Z def call(args):
2023-01-11T21:01:51.9415939Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9416007Z     args.clear()
2023-01-11T21:01:51.9416229Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '')
2023-01-11T21:01:51.9416295Z     del arg0_1
2023-01-11T21:01:51.9416359Z     del arg1_1
2023-01-11T21:01:51.9416411Z     del arg2_1
2023-01-11T21:01:51.9416480Z     return (buf0, )
2023-01-11T21:01:51.9416485Z 
2023-01-11T21:01:51.9416489Z 
2023-01-11T21:01:51.9416562Z if __name__ == "__main__":
2023-01-11T21:01:51.9416673Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9416792Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9416991Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9417185Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9417383Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9417490Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9417508Z 
2023-01-11T21:01:51.9417515Z 
2023-01-11T21:01:51.9417594Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9417661Z import torch
2023-01-11T21:01:51.9417729Z import random
2023-01-11T21:01:51.9417840Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9417955Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9417960Z 
2023-01-11T21:01:51.9418034Z aten = torch.ops.aten
2023-01-11T21:01:51.9418161Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9418238Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9418243Z 
2023-01-11T21:01:51.9418259Z 
2023-01-11T21:01:51.9418332Z async_compile.wait(globals())
2023-01-11T21:01:51.9418402Z del async_compile
2023-01-11T21:01:51.9418409Z 
2023-01-11T21:01:51.9418476Z def call(args):
2023-01-11T21:01:51.9418548Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9418616Z     args.clear()
2023-01-11T21:01:51.9418836Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '')
2023-01-11T21:01:51.9418902Z     del arg0_1
2023-01-11T21:01:51.9418954Z     del arg1_1
2023-01-11T21:01:51.9419023Z     return (buf0, )
2023-01-11T21:01:51.9419028Z 
2023-01-11T21:01:51.9419032Z 
2023-01-11T21:01:51.9419106Z if __name__ == "__main__":
2023-01-11T21:01:51.9419216Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9419335Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9419532Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9419727Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9419839Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9419873Z 
2023-01-11T21:01:51.9419877Z 
2023-01-11T21:01:51.9419957Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9420026Z import torch
2023-01-11T21:01:51.9420095Z import random
2023-01-11T21:01:51.9420208Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9420351Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9420357Z 
2023-01-11T21:01:51.9420434Z aten = torch.ops.aten
2023-01-11T21:01:51.9420565Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9420642Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9420660Z 
2023-01-11T21:01:51.9420664Z 
2023-01-11T21:01:51.9420737Z async_compile.wait(globals())
2023-01-11T21:01:51.9420808Z del async_compile
2023-01-11T21:01:51.9420813Z 
2023-01-11T21:01:51.9420882Z def call(args):
2023-01-11T21:01:51.9420961Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9421029Z     args.clear()
2023-01-11T21:01:51.9421257Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '')
2023-01-11T21:01:51.9421325Z     del arg0_1
2023-01-11T21:01:51.9421378Z     del arg1_1
2023-01-11T21:01:51.9421443Z     del arg2_1
2023-01-11T21:01:51.9421513Z     return (buf0, )
2023-01-11T21:01:51.9421518Z 
2023-01-11T21:01:51.9421522Z 
2023-01-11T21:01:51.9421598Z if __name__ == "__main__":
2023-01-11T21:01:51.9421707Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9421825Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9422023Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9422217Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9422409Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9422528Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9422533Z 
2023-01-11T21:01:51.9422537Z 
2023-01-11T21:01:51.9422628Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9422698Z import torch
2023-01-11T21:01:51.9422766Z import random
2023-01-11T21:01:51.9422878Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9422994Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9423001Z 
2023-01-11T21:01:51.9423077Z aten = torch.ops.aten
2023-01-11T21:01:51.9423195Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9423283Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9423288Z 
2023-01-11T21:01:51.9423292Z 
2023-01-11T21:01:51.9423377Z async_compile.wait(globals())
2023-01-11T21:01:51.9423447Z del async_compile
2023-01-11T21:01:51.9423453Z 
2023-01-11T21:01:51.9423520Z def call(args):
2023-01-11T21:01:51.9423594Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9423663Z     args.clear()
2023-01-11T21:01:51.9423871Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '')
2023-01-11T21:01:51.9423938Z     del arg0_1
2023-01-11T21:01:51.9424005Z     del arg1_1
2023-01-11T21:01:51.9424073Z     return (buf0, )
2023-01-11T21:01:51.9424078Z 
2023-01-11T21:01:51.9424082Z 
2023-01-11T21:01:51.9424155Z if __name__ == "__main__":
2023-01-11T21:01:51.9424264Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9424385Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9424585Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9424777Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9424890Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9425155Z [2023-01-11 20:56:07,005] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293
2023-01-11T21:01:51.9425553Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9425709Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9425992Z [2023-01-11 20:56:07,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294
2023-01-11T21:01:51.9426255Z [2023-01-11 20:56:07,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294
2023-01-11T21:01:51.9426649Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9426772Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9427026Z [2023-01-11 20:56:07,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295
2023-01-11T21:01:51.9427289Z [2023-01-11 20:56:07,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295
2023-01-11T21:01:51.9427671Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9427794Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9428047Z [2023-01-11 20:56:07,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296
2023-01-11T21:01:51.9428305Z [2023-01-11 20:56:07,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296
2023-01-11T21:01:51.9428701Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9428828Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9429081Z [2023-01-11 20:56:07,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297
2023-01-11T21:01:51.9429340Z [2023-01-11 20:56:07,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297
2023-01-11T21:01:51.9429735Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9429861Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9430112Z [2023-01-11 20:56:07,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298
2023-01-11T21:01:51.9430358Z [2023-01-11 20:56:07,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298
2023-01-11T21:01:51.9430749Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9430873Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9431125Z [2023-01-11 20:56:07,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299
2023-01-11T21:01:51.9431385Z [2023-01-11 20:56:07,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299
2023-01-11T21:01:51.9431833Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9431958Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9432212Z [2023-01-11 20:56:07,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300
2023-01-11T21:01:51.9432470Z [2023-01-11 20:56:07,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300
2023-01-11T21:01:51.9432936Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9433066Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9433322Z [2023-01-11 20:56:07,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301
2023-01-11T21:01:51.9433567Z [2023-01-11 20:56:07,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301
2023-01-11T21:01:51.9433962Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9434085Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9434339Z [2023-01-11 20:56:07,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302
2023-01-11T21:01:51.9434344Z 
2023-01-11T21:01:51.9434349Z 
2023-01-11T21:01:51.9434442Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9434513Z import torch
2023-01-11T21:01:51.9434584Z import random
2023-01-11T21:01:51.9434698Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9434816Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9434821Z 
2023-01-11T21:01:51.9434885Z aten = torch.ops.aten
2023-01-11T21:01:51.9435017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9435107Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9435112Z 
2023-01-11T21:01:51.9435117Z 
2023-01-11T21:01:51.9435203Z async_compile.wait(globals())
2023-01-11T21:01:51.9435274Z del async_compile
2023-01-11T21:01:51.9435279Z 
2023-01-11T21:01:51.9435347Z def call(args):
2023-01-11T21:01:51.9435429Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9435497Z     args.clear()
2023-01-11T21:01:51.9435711Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '')
2023-01-11T21:01:51.9435777Z     del arg0_1
2023-01-11T21:01:51.9435842Z     del arg1_1
2023-01-11T21:01:51.9435908Z     del arg2_1
2023-01-11T21:01:51.9435979Z     return (buf0, )
2023-01-11T21:01:51.9435984Z 
2023-01-11T21:01:51.9435988Z 
2023-01-11T21:01:51.9436061Z if __name__ == "__main__":
2023-01-11T21:01:51.9436171Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9436279Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9436480Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9436674Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9436870Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9436990Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9437029Z 
2023-01-11T21:01:51.9437034Z 
2023-01-11T21:01:51.9437128Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9437196Z import torch
2023-01-11T21:01:51.9437264Z import random
2023-01-11T21:01:51.9437392Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9437512Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9437518Z 
2023-01-11T21:01:51.9437593Z aten = torch.ops.aten
2023-01-11T21:01:51.9437724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9437813Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9437818Z 
2023-01-11T21:01:51.9437823Z 
2023-01-11T21:01:51.9437906Z async_compile.wait(globals())
2023-01-11T21:01:51.9437976Z del async_compile
2023-01-11T21:01:51.9437981Z 
2023-01-11T21:01:51.9438049Z def call(args):
2023-01-11T21:01:51.9438110Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9438179Z     args.clear()
2023-01-11T21:01:51.9438403Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '')
2023-01-11T21:01:51.9438471Z     del arg0_1
2023-01-11T21:01:51.9438535Z     del arg1_1
2023-01-11T21:01:51.9438603Z     return (buf0, )
2023-01-11T21:01:51.9438608Z 
2023-01-11T21:01:51.9438614Z 
2023-01-11T21:01:51.9438686Z if __name__ == "__main__":
2023-01-11T21:01:51.9438797Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9438905Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9439103Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9439301Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9439414Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9439419Z 
2023-01-11T21:01:51.9439423Z 
2023-01-11T21:01:51.9439515Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9439584Z import torch
2023-01-11T21:01:51.9439652Z import random
2023-01-11T21:01:51.9439754Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9439871Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9439877Z 
2023-01-11T21:01:51.9439951Z aten = torch.ops.aten
2023-01-11T21:01:51.9440083Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9440173Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9440178Z 
2023-01-11T21:01:51.9440182Z 
2023-01-11T21:01:51.9440267Z async_compile.wait(globals())
2023-01-11T21:01:51.9440338Z del async_compile
2023-01-11T21:01:51.9440343Z 
2023-01-11T21:01:51.9440411Z def call(args):
2023-01-11T21:01:51.9440478Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9440547Z     args.clear()
2023-01-11T21:01:51.9440776Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '')
2023-01-11T21:01:51.9440844Z     del arg0_1
2023-01-11T21:01:51.9440907Z     del arg1_1
2023-01-11T21:01:51.9440970Z     del arg2_1
2023-01-11T21:01:51.9441039Z     return (buf0, )
2023-01-11T21:01:51.9441046Z 
2023-01-11T21:01:51.9441050Z 
2023-01-11T21:01:51.9441122Z if __name__ == "__main__":
2023-01-11T21:01:51.9441221Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9441342Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9441542Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9441734Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9441937Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9442057Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9442062Z 
2023-01-11T21:01:51.9442066Z 
2023-01-11T21:01:51.9442156Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9442224Z import torch
2023-01-11T21:01:51.9442280Z import random
2023-01-11T21:01:51.9442393Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9442542Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9442548Z 
2023-01-11T21:01:51.9442624Z aten = torch.ops.aten
2023-01-11T21:01:51.9442754Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9442889Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9442895Z 
2023-01-11T21:01:51.9442899Z 
2023-01-11T21:01:51.9442986Z async_compile.wait(globals())
2023-01-11T21:01:51.9443055Z del async_compile
2023-01-11T21:01:51.9443060Z 
2023-01-11T21:01:51.9443116Z def call(args):
2023-01-11T21:01:51.9443188Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9443256Z     args.clear()
2023-01-11T21:01:51.9443679Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '')
2023-01-11T21:01:51.9443765Z     del arg0_1
2023-01-11T21:01:51.9443830Z     del arg1_1
2023-01-11T21:01:51.9443898Z     return (buf0, )
2023-01-11T21:01:51.9443904Z 
2023-01-11T21:01:51.9443908Z 
2023-01-11T21:01:51.9443969Z if __name__ == "__main__":
2023-01-11T21:01:51.9444084Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9444203Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9444402Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9444607Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9444720Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9444726Z 
2023-01-11T21:01:51.9444730Z 
2023-01-11T21:01:51.9444819Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9444886Z import torch
2023-01-11T21:01:51.9444942Z import random
2023-01-11T21:01:51.9445055Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9445172Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9445177Z 
2023-01-11T21:01:51.9445251Z aten = torch.ops.aten
2023-01-11T21:01:51.9445382Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9445472Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9445477Z 
2023-01-11T21:01:51.9445481Z 
2023-01-11T21:01:51.9445566Z async_compile.wait(globals())
2023-01-11T21:01:51.9445637Z del async_compile
2023-01-11T21:01:51.9445642Z 
2023-01-11T21:01:51.9445699Z def call(args):
2023-01-11T21:01:51.9445778Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9445846Z     args.clear()
2023-01-11T21:01:51.9446075Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '')
2023-01-11T21:01:51.9446141Z     del arg0_1
2023-01-11T21:01:51.9446205Z     del arg1_1
2023-01-11T21:01:51.9446268Z     del arg2_1
2023-01-11T21:01:51.9446324Z     return (buf0, )
2023-01-11T21:01:51.9446329Z 
2023-01-11T21:01:51.9446345Z 
2023-01-11T21:01:51.9446406Z if __name__ == "__main__":
2023-01-11T21:01:51.9446518Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9446638Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9446837Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9447034Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9447230Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9447348Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9447353Z 
2023-01-11T21:01:51.9447357Z 
2023-01-11T21:01:51.9447448Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9447503Z import torch
2023-01-11T21:01:51.9447572Z import random
2023-01-11T21:01:51.9447684Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9447802Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9447807Z 
2023-01-11T21:01:51.9447881Z aten = torch.ops.aten
2023-01-11T21:01:51.9448012Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9448100Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9448105Z 
2023-01-11T21:01:51.9448161Z 
2023-01-11T21:01:51.9448235Z async_compile.wait(globals())
2023-01-11T21:01:51.9448306Z del async_compile
2023-01-11T21:01:51.9448311Z 
2023-01-11T21:01:51.9448378Z def call(args):
2023-01-11T21:01:51.9448451Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9448554Z     args.clear()
2023-01-11T21:01:51.9448787Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '')
2023-01-11T21:01:51.9448855Z     del arg0_1
2023-01-11T21:01:51.9448906Z     del arg1_1
2023-01-11T21:01:51.9448976Z     return (buf0, )
2023-01-11T21:01:51.9448981Z 
2023-01-11T21:01:51.9448985Z 
2023-01-11T21:01:51.9449057Z if __name__ == "__main__":
2023-01-11T21:01:51.9449169Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9449289Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9449485Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9449682Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9449796Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9449801Z 
2023-01-11T21:01:51.9449805Z 
2023-01-11T21:01:51.9449895Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9449951Z import torch
2023-01-11T21:01:51.9450019Z import random
2023-01-11T21:01:51.9450130Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9450247Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9450252Z 
2023-01-11T21:01:51.9450327Z aten = torch.ops.aten
2023-01-11T21:01:51.9450457Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9450544Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9450549Z 
2023-01-11T21:01:51.9450553Z 
2023-01-11T21:01:51.9450637Z async_compile.wait(globals())
2023-01-11T21:01:51.9450696Z del async_compile
2023-01-11T21:01:51.9450701Z 
2023-01-11T21:01:51.9450768Z def call(args):
2023-01-11T21:01:51.9450846Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9450915Z     args.clear()
2023-01-11T21:01:51.9451131Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none')
2023-01-11T21:01:51.9451199Z     del arg0_1
2023-01-11T21:01:51.9451263Z     del arg1_1
2023-01-11T21:01:51.9451317Z     del arg2_1
2023-01-11T21:01:51.9451386Z     return (buf0, )
2023-01-11T21:01:51.9451391Z 
2023-01-11T21:01:51.9451395Z 
2023-01-11T21:01:51.9451468Z if __name__ == "__main__":
2023-01-11T21:01:51.9451576Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9451695Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9451892Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9452083Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9452287Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9452395Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9452401Z 
2023-01-11T21:01:51.9452405Z 
2023-01-11T21:01:51.9452496Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9452563Z import torch
2023-01-11T21:01:51.9452632Z import random
2023-01-11T21:01:51.9452745Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9452861Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9452866Z 
2023-01-11T21:01:51.9452941Z aten = torch.ops.aten
2023-01-11T21:01:51.9453059Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9453148Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9453153Z 
2023-01-11T21:01:51.9453157Z 
2023-01-11T21:01:51.9453241Z async_compile.wait(globals())
2023-01-11T21:01:51.9453312Z del async_compile
2023-01-11T21:01:51.9453317Z 
2023-01-11T21:01:51.9453384Z def call(args):
2023-01-11T21:01:51.9453457Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9453526Z     args.clear()
2023-01-11T21:01:51.9453742Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none')
2023-01-11T21:01:51.9453826Z     del arg0_1
2023-01-11T21:01:51.9453892Z     del arg1_1
2023-01-11T21:01:51.9453960Z     return (buf0, )
2023-01-11T21:01:51.9453965Z 
2023-01-11T21:01:51.9453969Z 
2023-01-11T21:01:51.9454076Z if __name__ == "__main__":
2023-01-11T21:01:51.9454189Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9454307Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9454507Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9454710Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9454809Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9454815Z 
2023-01-11T21:01:51.9454831Z 
2023-01-11T21:01:51.9454911Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9454978Z import torch
2023-01-11T21:01:51.9455047Z import random
2023-01-11T21:01:51.9455161Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9455279Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9455285Z 
2023-01-11T21:01:51.9455361Z aten = torch.ops.aten
2023-01-11T21:01:51.9455491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9455568Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9455573Z 
2023-01-11T21:01:51.9455577Z 
2023-01-11T21:01:51.9455663Z async_compile.wait(globals())
2023-01-11T21:01:51.9455733Z del async_compile
2023-01-11T21:01:51.9455738Z 
2023-01-11T21:01:51.9455806Z def call(args):
2023-01-11T21:01:51.9455885Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9455953Z     args.clear()
2023-01-11T21:01:51.9456170Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none')
2023-01-11T21:01:51.9456224Z     del arg0_1
2023-01-11T21:01:51.9456289Z     del arg1_1
2023-01-11T21:01:51.9456354Z     del arg2_1
2023-01-11T21:01:51.9456419Z     return (buf0, )
2023-01-11T21:01:51.9456426Z 
2023-01-11T21:01:51.9456430Z 
2023-01-11T21:01:51.9456503Z if __name__ == "__main__":
2023-01-11T21:01:51.9456614Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9456735Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9456933Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9457113Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9457309Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9457428Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9457694Z [2023-01-11 20:56:07,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302
2023-01-11T21:01:51.9458090Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9458221Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9458475Z [2023-01-11 20:56:07,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303
2023-01-11T21:01:51.9458736Z [2023-01-11 20:56:07,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303
2023-01-11T21:01:51.9459130Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9459255Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9459527Z [2023-01-11 20:56:07,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304
2023-01-11T21:01:51.9459816Z [2023-01-11 20:56:07,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304
2023-01-11T21:01:51.9460213Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9460337Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9460590Z [2023-01-11 20:56:07,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305
2023-01-11T21:01:51.9460848Z [2023-01-11 20:56:07,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305
2023-01-11T21:01:51.9461248Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9461370Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9461623Z [2023-01-11 20:56:07,742] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306
2023-01-11T21:01:51.9461880Z [2023-01-11 20:56:07,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306
2023-01-11T21:01:51.9462271Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9462397Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9462637Z [2023-01-11 20:56:07,773] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307
2023-01-11T21:01:51.9462896Z [2023-01-11 20:56:07,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307
2023-01-11T21:01:51.9463286Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9463409Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9463659Z [2023-01-11 20:56:07,853] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308
2023-01-11T21:01:51.9463919Z [2023-01-11 20:56:07,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308
2023-01-11T21:01:51.9464311Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9464433Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9464685Z [2023-01-11 20:56:07,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309
2023-01-11T21:01:51.9464944Z [2023-01-11 20:56:07,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309
2023-01-11T21:01:51.9465338Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9465519Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9465759Z [2023-01-11 20:56:07,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310
2023-01-11T21:01:51.9466017Z [2023-01-11 20:56:07,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310
2023-01-11T21:01:51.9466407Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9466528Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9466780Z [2023-01-11 20:56:07,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311
2023-01-11T21:01:51.9466785Z 
2023-01-11T21:01:51.9466790Z 
2023-01-11T21:01:51.9466884Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9466951Z import torch
2023-01-11T21:01:51.9467020Z import random
2023-01-11T21:01:51.9467132Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9467239Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9467244Z 
2023-01-11T21:01:51.9467319Z aten = torch.ops.aten
2023-01-11T21:01:51.9467450Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9467544Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9467549Z 
2023-01-11T21:01:51.9467553Z 
2023-01-11T21:01:51.9467639Z async_compile.wait(globals())
2023-01-11T21:01:51.9467711Z del async_compile
2023-01-11T21:01:51.9467716Z 
2023-01-11T21:01:51.9467785Z def call(args):
2023-01-11T21:01:51.9467860Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9467916Z     args.clear()
2023-01-11T21:01:51.9468131Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none')
2023-01-11T21:01:51.9468198Z     del arg0_1
2023-01-11T21:01:51.9468264Z     del arg1_1
2023-01-11T21:01:51.9468333Z     return (buf0, )
2023-01-11T21:01:51.9468338Z 
2023-01-11T21:01:51.9468342Z 
2023-01-11T21:01:51.9468418Z if __name__ == "__main__":
2023-01-11T21:01:51.9468530Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9468639Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9468843Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9469041Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9469154Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9469160Z 
2023-01-11T21:01:51.9469164Z 
2023-01-11T21:01:51.9469254Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9469324Z import torch
2023-01-11T21:01:51.9469393Z import random
2023-01-11T21:01:51.9469505Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9469613Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9469634Z 
2023-01-11T21:01:51.9469697Z aten = torch.ops.aten
2023-01-11T21:01:51.9469828Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9469919Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9469925Z 
2023-01-11T21:01:51.9469929Z 
2023-01-11T21:01:51.9470014Z async_compile.wait(globals())
2023-01-11T21:01:51.9470084Z del async_compile
2023-01-11T21:01:51.9470089Z 
2023-01-11T21:01:51.9470157Z def call(args):
2023-01-11T21:01:51.9470237Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9470295Z     args.clear()
2023-01-11T21:01:51.9470512Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh')
2023-01-11T21:01:51.9470576Z     del arg0_1
2023-01-11T21:01:51.9470674Z     del arg1_1
2023-01-11T21:01:51.9470738Z     del arg2_1
2023-01-11T21:01:51.9470810Z     return (buf0, )
2023-01-11T21:01:51.9470815Z 
2023-01-11T21:01:51.9470819Z 
2023-01-11T21:01:51.9470890Z if __name__ == "__main__":
2023-01-11T21:01:51.9471032Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9471141Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9471340Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9471533Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9471737Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9471859Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9471864Z 
2023-01-11T21:01:51.9471869Z 
2023-01-11T21:01:51.9471959Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9472025Z import torch
2023-01-11T21:01:51.9472094Z import random
2023-01-11T21:01:51.9472195Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9472311Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9472316Z 
2023-01-11T21:01:51.9472392Z aten = torch.ops.aten
2023-01-11T21:01:51.9472526Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9472616Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9472621Z 
2023-01-11T21:01:51.9472624Z 
2023-01-11T21:01:51.9472709Z async_compile.wait(globals())
2023-01-11T21:01:51.9472781Z del async_compile
2023-01-11T21:01:51.9472786Z 
2023-01-11T21:01:51.9472853Z def call(args):
2023-01-11T21:01:51.9473131Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9473201Z     args.clear()
2023-01-11T21:01:51.9473419Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh')
2023-01-11T21:01:51.9473485Z     del arg0_1
2023-01-11T21:01:51.9473551Z     del arg1_1
2023-01-11T21:01:51.9473618Z     return (buf0, )
2023-01-11T21:01:51.9473625Z 
2023-01-11T21:01:51.9473629Z 
2023-01-11T21:01:51.9473703Z if __name__ == "__main__":
2023-01-11T21:01:51.9473802Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9473921Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9474119Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9474323Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9474436Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9474442Z 
2023-01-11T21:01:51.9474446Z 
2023-01-11T21:01:51.9474537Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9474604Z import torch
2023-01-11T21:01:51.9474673Z import random
2023-01-11T21:01:51.9474772Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9474890Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9474895Z 
2023-01-11T21:01:51.9474971Z aten = torch.ops.aten
2023-01-11T21:01:51.9475102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9475191Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9475196Z 
2023-01-11T21:01:51.9475199Z 
2023-01-11T21:01:51.9475284Z async_compile.wait(globals())
2023-01-11T21:01:51.9475355Z del async_compile
2023-01-11T21:01:51.9475360Z 
2023-01-11T21:01:51.9475428Z def call(args):
2023-01-11T21:01:51.9475496Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9475563Z     args.clear()
2023-01-11T21:01:51.9475780Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh')
2023-01-11T21:01:51.9475845Z     del arg0_1
2023-01-11T21:01:51.9475911Z     del arg1_1
2023-01-11T21:01:51.9475974Z     del arg2_1
2023-01-11T21:01:51.9476043Z     return (buf0, )
2023-01-11T21:01:51.9476048Z 
2023-01-11T21:01:51.9476052Z 
2023-01-11T21:01:51.9476113Z if __name__ == "__main__":
2023-01-11T21:01:51.9476223Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9476380Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9476579Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9476802Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9477001Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9477119Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9477124Z 
2023-01-11T21:01:51.9477128Z 
2023-01-11T21:01:51.9477219Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9477274Z import torch
2023-01-11T21:01:51.9477342Z import random
2023-01-11T21:01:51.9477452Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9477570Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9477575Z 
2023-01-11T21:01:51.9477651Z aten = torch.ops.aten
2023-01-11T21:01:51.9477779Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9477870Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9477875Z 
2023-01-11T21:01:51.9477879Z 
2023-01-11T21:01:51.9477963Z async_compile.wait(globals())
2023-01-11T21:01:51.9478021Z del async_compile
2023-01-11T21:01:51.9478026Z 
2023-01-11T21:01:51.9478096Z def call(args):
2023-01-11T21:01:51.9478169Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9478237Z     args.clear()
2023-01-11T21:01:51.9478451Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh')
2023-01-11T21:01:51.9478516Z     del arg0_1
2023-01-11T21:01:51.9478579Z     del arg1_1
2023-01-11T21:01:51.9478637Z     return (buf0, )
2023-01-11T21:01:51.9478641Z 
2023-01-11T21:01:51.9478657Z 
2023-01-11T21:01:51.9478717Z if __name__ == "__main__":
2023-01-11T21:01:51.9478828Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9478947Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9479144Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9479341Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9479453Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9479458Z 
2023-01-11T21:01:51.9479464Z 
2023-01-11T21:01:51.9479553Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9479609Z import torch
2023-01-11T21:01:51.9479677Z import random
2023-01-11T21:01:51.9479789Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9479905Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9479910Z 
2023-01-11T21:01:51.9479986Z aten = torch.ops.aten
2023-01-11T21:01:51.9480116Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9480203Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9480208Z 
2023-01-11T21:01:51.9480212Z 
2023-01-11T21:01:51.9480296Z async_compile.wait(globals())
2023-01-11T21:01:51.9480353Z del async_compile
2023-01-11T21:01:51.9480371Z 
2023-01-11T21:01:51.9480429Z def call(args):
2023-01-11T21:01:51.9480508Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9480576Z     args.clear()
2023-01-11T21:01:51.9480804Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '')
2023-01-11T21:01:51.9480870Z     del arg0_1
2023-01-11T21:01:51.9480934Z     del arg1_1
2023-01-11T21:01:51.9480986Z     del arg2_1
2023-01-11T21:01:51.9481055Z     return (buf0, )
2023-01-11T21:01:51.9481061Z 
2023-01-11T21:01:51.9481065Z 
2023-01-11T21:01:51.9481138Z if __name__ == "__main__":
2023-01-11T21:01:51.9481248Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9481366Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9481565Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9481758Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9481959Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9482096Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9482114Z 
2023-01-11T21:01:51.9482118Z 
2023-01-11T21:01:51.9482197Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9482304Z import torch
2023-01-11T21:01:51.9482374Z import random
2023-01-11T21:01:51.9482487Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9482605Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9482610Z 
2023-01-11T21:01:51.9482685Z aten = torch.ops.aten
2023-01-11T21:01:51.9482814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9482890Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9482895Z 
2023-01-11T21:01:51.9482911Z 
2023-01-11T21:01:51.9482984Z async_compile.wait(globals())
2023-01-11T21:01:51.9483052Z del async_compile
2023-01-11T21:01:51.9483057Z 
2023-01-11T21:01:51.9483124Z def call(args):
2023-01-11T21:01:51.9483196Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9483266Z     args.clear()
2023-01-11T21:01:51.9483667Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '')
2023-01-11T21:01:51.9483749Z     del arg0_1
2023-01-11T21:01:51.9483803Z     del arg1_1
2023-01-11T21:01:51.9483873Z     return (buf0, )
2023-01-11T21:01:51.9483878Z 
2023-01-11T21:01:51.9483882Z 
2023-01-11T21:01:51.9483955Z if __name__ == "__main__":
2023-01-11T21:01:51.9484064Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9484183Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9484385Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9484588Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9484701Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9484707Z 
2023-01-11T21:01:51.9484712Z 
2023-01-11T21:01:51.9484791Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9484860Z import torch
2023-01-11T21:01:51.9484929Z import random
2023-01-11T21:01:51.9485044Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9485161Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9485169Z 
2023-01-11T21:01:51.9485243Z aten = torch.ops.aten
2023-01-11T21:01:51.9485374Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9485450Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9485467Z 
2023-01-11T21:01:51.9485472Z 
2023-01-11T21:01:51.9485544Z async_compile.wait(globals())
2023-01-11T21:01:51.9485614Z del async_compile
2023-01-11T21:01:51.9485619Z 
2023-01-11T21:01:51.9485687Z def call(args):
2023-01-11T21:01:51.9485765Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9485833Z     args.clear()
2023-01-11T21:01:51.9486058Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '')
2023-01-11T21:01:51.9486123Z     del arg0_1
2023-01-11T21:01:51.9486179Z     del arg1_1
2023-01-11T21:01:51.9486243Z     del arg2_1
2023-01-11T21:01:51.9486313Z     return (buf0, )
2023-01-11T21:01:51.9486318Z 
2023-01-11T21:01:51.9486322Z 
2023-01-11T21:01:51.9486394Z if __name__ == "__main__":
2023-01-11T21:01:51.9486507Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9486627Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9486825Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9487018Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9487202Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9487321Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9487326Z 
2023-01-11T21:01:51.9487330Z 
2023-01-11T21:01:51.9487420Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9487487Z import torch
2023-01-11T21:01:51.9487555Z import random
2023-01-11T21:01:51.9487717Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9487835Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9487841Z 
2023-01-11T21:01:51.9487917Z aten = torch.ops.aten
2023-01-11T21:01:51.9488104Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9488195Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9488200Z 
2023-01-11T21:01:51.9488204Z 
2023-01-11T21:01:51.9488288Z async_compile.wait(globals())
2023-01-11T21:01:51.9488360Z del async_compile
2023-01-11T21:01:51.9488365Z 
2023-01-11T21:01:51.9488433Z def call(args):
2023-01-11T21:01:51.9488504Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9488573Z     args.clear()
2023-01-11T21:01:51.9488784Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '')
2023-01-11T21:01:51.9488852Z     del arg0_1
2023-01-11T21:01:51.9488915Z     del arg1_1
2023-01-11T21:01:51.9488984Z     return (buf0, )
2023-01-11T21:01:51.9488991Z 
2023-01-11T21:01:51.9488995Z 
2023-01-11T21:01:51.9489069Z if __name__ == "__main__":
2023-01-11T21:01:51.9489179Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9489299Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9489500Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9489683Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9489796Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9490062Z [2023-01-11 20:56:07,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311
2023-01-11T21:01:51.9490458Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9490586Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9490841Z [2023-01-11 20:56:08,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312
2023-01-11T21:01:51.9491104Z [2023-01-11 20:56:08,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312
2023-01-11T21:01:51.9491500Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9491624Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9491876Z [2023-01-11 20:56:08,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313
2023-01-11T21:01:51.9492128Z [2023-01-11 20:56:08,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313
2023-01-11T21:01:51.9492525Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9492650Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9492902Z [2023-01-11 20:56:08,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314
2023-01-11T21:01:51.9493160Z [2023-01-11 20:56:08,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314
2023-01-11T21:01:51.9493552Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9493735Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9493988Z [2023-01-11 20:56:08,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315
2023-01-11T21:01:51.9494246Z [2023-01-11 20:56:08,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315
2023-01-11T21:01:51.9494252Z 
2023-01-11T21:01:51.9494256Z 
2023-01-11T21:01:51.9494347Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9494417Z import torch
2023-01-11T21:01:51.9494473Z import random
2023-01-11T21:01:51.9494587Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9494706Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9494712Z 
2023-01-11T21:01:51.9494788Z aten = torch.ops.aten
2023-01-11T21:01:51.9494923Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9495013Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9495019Z 
2023-01-11T21:01:51.9495023Z 
2023-01-11T21:01:51.9495110Z async_compile.wait(globals())
2023-01-11T21:01:51.9495180Z del async_compile
2023-01-11T21:01:51.9495186Z 
2023-01-11T21:01:51.9495244Z def call(args):
2023-01-11T21:01:51.9495326Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9495395Z     args.clear()
2023-01-11T21:01:51.9495611Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '')
2023-01-11T21:01:51.9495677Z     del arg0_1
2023-01-11T21:01:51.9495742Z     del arg1_1
2023-01-11T21:01:51.9495805Z     del arg2_1
2023-01-11T21:01:51.9495863Z     return (buf0, )
2023-01-11T21:01:51.9495868Z 
2023-01-11T21:01:51.9495884Z 
2023-01-11T21:01:51.9495946Z if __name__ == "__main__":
2023-01-11T21:01:51.9496056Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9496180Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9496383Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9496579Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9496784Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9496902Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9496907Z 
2023-01-11T21:01:51.9496911Z 
2023-01-11T21:01:51.9497004Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9497061Z import torch
2023-01-11T21:01:51.9497131Z import random
2023-01-11T21:01:51.9497243Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9497363Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9497369Z 
2023-01-11T21:01:51.9497451Z aten = torch.ops.aten
2023-01-11T21:01:51.9497634Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9497762Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9497770Z 
2023-01-11T21:01:51.9497775Z 
2023-01-11T21:01:51.9497884Z async_compile.wait(globals())
2023-01-11T21:01:51.9497970Z del async_compile
2023-01-11T21:01:51.9497976Z 
2023-01-11T21:01:51.9498079Z def call(args):
2023-01-11T21:01:51.9498179Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9498273Z     args.clear()
2023-01-11T21:01:51.9498674Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '')
2023-01-11T21:01:51.9498802Z     del arg0_1
2023-01-11T21:01:51.9498918Z     del arg1_1
2023-01-11T21:01:51.9499025Z     return (buf0, )
2023-01-11T21:01:51.9499033Z 
2023-01-11T21:01:51.9499038Z 
2023-01-11T21:01:51.9499142Z if __name__ == "__main__":
2023-01-11T21:01:51.9499258Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9499378Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9499578Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9499841Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9499954Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9499959Z 
2023-01-11T21:01:51.9499994Z 
2023-01-11T21:01:51.9500087Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9500144Z import torch
2023-01-11T21:01:51.9500213Z import random
2023-01-11T21:01:51.9500325Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9500444Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9500449Z 
2023-01-11T21:01:51.9500526Z aten = torch.ops.aten
2023-01-11T21:01:51.9500656Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9500745Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9500750Z 
2023-01-11T21:01:51.9500754Z 
2023-01-11T21:01:51.9500839Z async_compile.wait(globals())
2023-01-11T21:01:51.9500897Z del async_compile
2023-01-11T21:01:51.9500904Z 
2023-01-11T21:01:51.9500970Z def call(args):
2023-01-11T21:01:51.9501050Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9501120Z     args.clear()
2023-01-11T21:01:51.9501337Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '')
2023-01-11T21:01:51.9501403Z     del arg0_1
2023-01-11T21:01:51.9501468Z     del arg1_1
2023-01-11T21:01:51.9501521Z     del arg2_1
2023-01-11T21:01:51.9501594Z     return (buf0, )
2023-01-11T21:01:51.9501599Z 
2023-01-11T21:01:51.9501602Z 
2023-01-11T21:01:51.9501675Z if __name__ == "__main__":
2023-01-11T21:01:51.9501784Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9501905Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9502104Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9502298Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9502493Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9502603Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9502608Z 
2023-01-11T21:01:51.9502613Z 
2023-01-11T21:01:51.9502706Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9502775Z import torch
2023-01-11T21:01:51.9502844Z import random
2023-01-11T21:01:51.9502957Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9503074Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9503080Z 
2023-01-11T21:01:51.9503155Z aten = torch.ops.aten
2023-01-11T21:01:51.9503286Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9503362Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9503368Z 
2023-01-11T21:01:51.9503372Z 
2023-01-11T21:01:51.9503459Z async_compile.wait(globals())
2023-01-11T21:01:51.9503529Z del async_compile
2023-01-11T21:01:51.9503534Z 
2023-01-11T21:01:51.9503603Z def call(args):
2023-01-11T21:01:51.9503677Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9503748Z     args.clear()
2023-01-11T21:01:51.9503958Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '')
2023-01-11T21:01:51.9504012Z     del arg0_1
2023-01-11T21:01:51.9504079Z     del arg1_1
2023-01-11T21:01:51.9504154Z     return (buf0, )
2023-01-11T21:01:51.9504159Z 
2023-01-11T21:01:51.9504162Z 
2023-01-11T21:01:51.9504236Z if __name__ == "__main__":
2023-01-11T21:01:51.9504349Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9504470Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9504665Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9504860Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2023-01-11T21:01:51.9504959Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9504964Z 
2023-01-11T21:01:51.9505028Z ok (2.370s)
2023-01-11T21:01:51.9505495Z   test_linspace1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9505647Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9505905Z [2023-01-11 20:56:08,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316
2023-01-11T21:01:51.9506167Z [2023-01-11 20:56:09,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316
2023-01-11T21:01:51.9506173Z 
2023-01-11T21:01:51.9506265Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9506333Z import torch
2023-01-11T21:01:51.9506400Z import random
2023-01-11T21:01:51.9506499Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9506618Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9506625Z 
2023-01-11T21:01:51.9506701Z aten = torch.ops.aten
2023-01-11T21:01:51.9506831Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9506919Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9506926Z 
2023-01-11T21:01:51.9506930Z 
2023-01-11T21:01:51.9507059Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9507266Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9507383Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9507469Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9507529Z {
2023-01-11T21:01:51.9507604Z     #pragma GCC ivdep
2023-01-11T21:01:51.9507682Z     for(long i0=0; i0<7; i0+=1)
2023-01-11T21:01:51.9507741Z     {
2023-01-11T21:01:51.9507801Z         {
2023-01-11T21:01:51.9507862Z             {
2023-01-11T21:01:51.9507936Z                 auto tmp4 = in_ptr0[i0];
2023-01-11T21:01:51.9508041Z                 auto tmp0 = static_cast<float>(0.125);
2023-01-11T21:01:51.9508140Z                 auto tmp1 = static_cast<float>(i0);
2023-01-11T21:01:51.9508225Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9508312Z                 auto tmp3 = tmp2 + tmp0;
2023-01-11T21:01:51.9508394Z                 auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.9508476Z                 out_ptr0[i0] = tmp5;
2023-01-11T21:01:51.9508526Z             }
2023-01-11T21:01:51.9508586Z         }
2023-01-11T21:01:51.9508644Z     }
2023-01-11T21:01:51.9508702Z }
2023-01-11T21:01:51.9508778Z ''')
2023-01-11T21:01:51.9508784Z 
2023-01-11T21:01:51.9508788Z 
2023-01-11T21:01:51.9508874Z async_compile.wait(globals())
2023-01-11T21:01:51.9508944Z del async_compile
2023-01-11T21:01:51.9508949Z 
2023-01-11T21:01:51.9509005Z def call(args):
2023-01-11T21:01:51.9509072Z     arg0_1, = args
2023-01-11T21:01:51.9509139Z     args.clear()
2023-01-11T21:01:51.9509332Z     buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9509467Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9509533Z     del arg0_1
2023-01-11T21:01:51.9509602Z     return (buf0, )
2023-01-11T21:01:51.9509607Z 
2023-01-11T21:01:51.9509612Z 
2023-01-11T21:01:51.9509686Z if __name__ == "__main__":
2023-01-11T21:01:51.9509786Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9509906Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9510099Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9510205Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9510210Z 
2023-01-11T21:01:51.9515747Z ok (1.532s)
2023-01-11T21:01:51.9516223Z   test_linspace2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9516428Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9516754Z [2023-01-11 20:56:09,865] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317
2023-01-11T21:01:51.9517029Z [2023-01-11 20:56:11,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317
2023-01-11T21:01:51.9517036Z 
2023-01-11T21:01:51.9517131Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9517200Z import torch
2023-01-11T21:01:51.9517267Z import random
2023-01-11T21:01:51.9517380Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9517499Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9517505Z 
2023-01-11T21:01:51.9517571Z aten = torch.ops.aten
2023-01-11T21:01:51.9517702Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9517795Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9517801Z 
2023-01-11T21:01:51.9517805Z 
2023-01-11T21:01:51.9517938Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9518146Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9518265Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9518365Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9518422Z {
2023-01-11T21:01:51.9518470Z     {
2023-01-11T21:01:51.9518530Z         {
2023-01-11T21:01:51.9518612Z             auto tmp4 = in_ptr0[0];
2023-01-11T21:01:51.9518711Z             auto tmp0 = static_cast<float>(0.0);
2023-01-11T21:01:51.9518807Z             auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:51.9518889Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9518967Z             auto tmp3 = tmp2 + tmp1;
2023-01-11T21:01:51.9519034Z             auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.9519109Z             out_ptr0[0] = tmp5;
2023-01-11T21:01:51.9519168Z         }
2023-01-11T21:01:51.9519226Z     }
2023-01-11T21:01:51.9519282Z }
2023-01-11T21:01:51.9519356Z ''')
2023-01-11T21:01:51.9519362Z 
2023-01-11T21:01:51.9519366Z 
2023-01-11T21:01:51.9519453Z async_compile.wait(globals())
2023-01-11T21:01:51.9519512Z del async_compile
2023-01-11T21:01:51.9519518Z 
2023-01-11T21:01:51.9519585Z def call(args):
2023-01-11T21:01:51.9519652Z     arg0_1, = args
2023-01-11T21:01:51.9519721Z     args.clear()
2023-01-11T21:01:51.9519913Z     buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9520043Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9520108Z     del arg0_1
2023-01-11T21:01:51.9520164Z     return (buf0, )
2023-01-11T21:01:51.9520169Z 
2023-01-11T21:01:51.9520173Z 
2023-01-11T21:01:51.9520246Z if __name__ == "__main__":
2023-01-11T21:01:51.9520356Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9520478Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9520673Z     arg0_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9520777Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9520785Z 
2023-01-11T21:01:51.9520847Z ok (1.522s)
2023-01-11T21:01:51.9521281Z   test_linspace3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9521405Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9521653Z [2023-01-11 20:56:11,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318
2023-01-11T21:01:51.9521916Z [2023-01-11 20:56:11,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318
2023-01-11T21:01:51.9521953Z 
2023-01-11T21:01:51.9522046Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9522114Z import torch
2023-01-11T21:01:51.9522181Z import random
2023-01-11T21:01:51.9522322Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9522441Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9522446Z 
2023-01-11T21:01:51.9522522Z aten = torch.ops.aten
2023-01-11T21:01:51.9522643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9522732Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9522738Z 
2023-01-11T21:01:51.9522742Z 
2023-01-11T21:01:51.9522826Z async_compile.wait(globals())
2023-01-11T21:01:51.9522897Z del async_compile
2023-01-11T21:01:51.9522902Z 
2023-01-11T21:01:51.9522968Z def call(args):
2023-01-11T21:01:51.9523159Z     buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9523230Z     return (buf0, )
2023-01-11T21:01:51.9523235Z 
2023-01-11T21:01:51.9523239Z 
2023-01-11T21:01:51.9523310Z if __name__ == "__main__":
2023-01-11T21:01:51.9523617Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9523770Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9523868Z     print_performance(lambda: call([]))
2023-01-11T21:01:51.9523874Z 
2023-01-11T21:01:51.9523938Z ok (0.033s)
2023-01-11T21:01:51.9524278Z   test_list_clearing_cpu (__main__.CpuTests) ... [2023-01-11 20:56:11,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2023-01-11T21:01:51.9524540Z [2023-01-11 20:56:12,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2023-01-11T21:01:51.9524545Z 
2023-01-11T21:01:51.9524637Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9524704Z import torch
2023-01-11T21:01:51.9524760Z import random
2023-01-11T21:01:51.9524871Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9524991Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9524996Z 
2023-01-11T21:01:51.9525072Z aten = torch.ops.aten
2023-01-11T21:01:51.9525205Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9525293Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9525298Z 
2023-01-11T21:01:51.9525302Z 
2023-01-11T21:01:51.9525431Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9525635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9525741Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9525842Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9525940Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9525998Z {
2023-01-11T21:01:51.9526076Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:51.9526135Z     {
2023-01-11T21:01:51.9526288Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9526416Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9526485Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9526570Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9526629Z     }
2023-01-11T21:01:51.9526714Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9526795Z     for(long i0=24; i0<25; i0+=1)
2023-01-11T21:01:51.9526852Z     {
2023-01-11T21:01:51.9526931Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9526997Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9527074Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9527150Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9527207Z     }
2023-01-11T21:01:51.9527264Z }
2023-01-11T21:01:51.9527339Z ''')
2023-01-11T21:01:51.9527345Z 
2023-01-11T21:01:51.9527349Z 
2023-01-11T21:01:51.9527433Z async_compile.wait(globals())
2023-01-11T21:01:51.9527490Z del async_compile
2023-01-11T21:01:51.9527496Z 
2023-01-11T21:01:51.9527630Z def call(args):
2023-01-11T21:01:51.9527696Z     x_1, y_1 = args
2023-01-11T21:01:51.9527765Z     args.clear()
2023-01-11T21:01:51.9527961Z     buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9528173Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9528238Z     del x_1
2023-01-11T21:01:51.9528287Z     del y_1
2023-01-11T21:01:51.9528481Z     buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9528571Z     aten.mm.out(buf0, buf0, out=buf1)
2023-01-11T21:01:51.9528641Z     return (buf1, )
2023-01-11T21:01:51.9528646Z 
2023-01-11T21:01:51.9528650Z 
2023-01-11T21:01:51.9528724Z if __name__ == "__main__":
2023-01-11T21:01:51.9528833Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9528951Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9529126Z     x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9529312Z     y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9529420Z     print_performance(lambda: call([x_1, y_1]))
2023-01-11T21:01:51.9529424Z 
2023-01-11T21:01:51.9529490Z ok (1.525s)
2023-01-11T21:01:51.9529925Z   test_log1p_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9530050Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9530307Z [2023-01-11 20:56:12,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319
2023-01-11T21:01:51.9530570Z [2023-01-11 20:56:14,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319
2023-01-11T21:01:51.9530968Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9531093Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9531344Z [2023-01-11 20:56:14,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320
2023-01-11T21:01:51.9531590Z [2023-01-11 20:56:15,998] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320
2023-01-11T21:01:51.9531982Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9532108Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9532360Z [2023-01-11 20:56:16,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321
2023-01-11T21:01:51.9532620Z [2023-01-11 20:56:17,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321
2023-01-11T21:01:51.9533013Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9533135Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9533386Z [2023-01-11 20:56:17,562] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322
2023-01-11T21:01:51.9533675Z [2023-01-11 20:56:19,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322
2023-01-11T21:01:51.9534094Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9534218Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9534468Z [2023-01-11 20:56:19,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323
2023-01-11T21:01:51.9534473Z 
2023-01-11T21:01:51.9534554Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9534621Z import torch
2023-01-11T21:01:51.9534689Z import random
2023-01-11T21:01:51.9534802Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9534923Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9534929Z 
2023-01-11T21:01:51.9535005Z aten = torch.ops.aten
2023-01-11T21:01:51.9535138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9535216Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9535221Z 
2023-01-11T21:01:51.9535236Z 
2023-01-11T21:01:51.9535355Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9535556Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9535674Z extern "C" void kernel(const half* __restrict__ in_ptr0,
2023-01-11T21:01:51.9535770Z                        half* __restrict__ out_ptr0,
2023-01-11T21:01:51.9535862Z                        half* __restrict__ out_ptr1)
2023-01-11T21:01:51.9535921Z {
2023-01-11T21:01:51.9535994Z     #pragma GCC ivdep
2023-01-11T21:01:51.9536061Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.9536119Z     {
2023-01-11T21:01:51.9536182Z         {
2023-01-11T21:01:51.9536242Z             {
2023-01-11T21:01:51.9536354Z                 auto tmp0 = static_cast<float>(in_ptr0[i0]);
2023-01-11T21:01:51.9536452Z                 auto tmp1 = std::log1p(tmp0);
2023-01-11T21:01:51.9536550Z                 auto tmp2 = static_cast<half>(2);
2023-01-11T21:01:51.9536624Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9536703Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9536779Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9536840Z             }
2023-01-11T21:01:51.9536898Z         }
2023-01-11T21:01:51.9536956Z     }
2023-01-11T21:01:51.9537002Z }
2023-01-11T21:01:51.9537076Z ''')
2023-01-11T21:01:51.9537082Z 
2023-01-11T21:01:51.9537086Z 
2023-01-11T21:01:51.9537171Z async_compile.wait(globals())
2023-01-11T21:01:51.9537240Z del async_compile
2023-01-11T21:01:51.9537245Z 
2023-01-11T21:01:51.9537311Z def call(args):
2023-01-11T21:01:51.9537377Z     arg0_1, = args
2023-01-11T21:01:51.9537444Z     args.clear()
2023-01-11T21:01:51.9537639Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.9537816Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.9537979Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9538045Z     del arg0_1
2023-01-11T21:01:51.9538119Z     return (buf0, buf1, )
2023-01-11T21:01:51.9538125Z 
2023-01-11T21:01:51.9538129Z 
2023-01-11T21:01:51.9538202Z if __name__ == "__main__":
2023-01-11T21:01:51.9538312Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9538432Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9538623Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.9538717Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9538722Z 
2023-01-11T21:01:51.9538726Z 
2023-01-11T21:01:51.9538816Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9538913Z import torch
2023-01-11T21:01:51.9538979Z import random
2023-01-11T21:01:51.9539090Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9539206Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9539240Z 
2023-01-11T21:01:51.9539315Z aten = torch.ops.aten
2023-01-11T21:01:51.9539445Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9539523Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9539528Z 
2023-01-11T21:01:51.9539532Z 
2023-01-11T21:01:51.9539661Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9539861Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9539976Z extern "C" void kernel(const half* __restrict__ in_ptr0,
2023-01-11T21:01:51.9540071Z                        half* __restrict__ out_ptr0,
2023-01-11T21:01:51.9540163Z                        half* __restrict__ out_ptr1)
2023-01-11T21:01:51.9540222Z {
2023-01-11T21:01:51.9540287Z     #pragma GCC ivdep
2023-01-11T21:01:51.9540367Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.9540425Z     {
2023-01-11T21:01:51.9540484Z         {
2023-01-11T21:01:51.9540544Z             {
2023-01-11T21:01:51.9540654Z                 auto tmp0 = static_cast<float>(in_ptr0[i0]);
2023-01-11T21:01:51.9540752Z                 auto tmp1 = std::log1p(tmp0);
2023-01-11T21:01:51.9540837Z                 auto tmp2 = static_cast<half>(2);
2023-01-11T21:01:51.9540921Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9541000Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9541076Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9541136Z             }
2023-01-11T21:01:51.9541194Z         }
2023-01-11T21:01:51.9541251Z     }
2023-01-11T21:01:51.9541297Z }
2023-01-11T21:01:51.9541371Z ''')
2023-01-11T21:01:51.9541376Z 
2023-01-11T21:01:51.9541381Z 
2023-01-11T21:01:51.9541464Z async_compile.wait(globals())
2023-01-11T21:01:51.9541533Z del async_compile
2023-01-11T21:01:51.9541540Z 
2023-01-11T21:01:51.9541607Z def call(args):
2023-01-11T21:01:51.9541673Z     arg0_1, = args
2023-01-11T21:01:51.9541739Z     args.clear()
2023-01-11T21:01:51.9541920Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.9542110Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.9542268Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9542335Z     del arg0_1
2023-01-11T21:01:51.9542410Z     return (buf0, buf1, )
2023-01-11T21:01:51.9542415Z 
2023-01-11T21:01:51.9542419Z 
2023-01-11T21:01:51.9542491Z if __name__ == "__main__":
2023-01-11T21:01:51.9542601Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9542720Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9542902Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.float16)
2023-01-11T21:01:51.9543006Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9543013Z 
2023-01-11T21:01:51.9543017Z 
2023-01-11T21:01:51.9543107Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9543173Z import torch
2023-01-11T21:01:51.9543240Z import random
2023-01-11T21:01:51.9543353Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9543470Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9543474Z 
2023-01-11T21:01:51.9543549Z aten = torch.ops.aten
2023-01-11T21:01:51.9543667Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9543755Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9543760Z 
2023-01-11T21:01:51.9543764Z 
2023-01-11T21:01:51.9543892Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9544093Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9544210Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9544307Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9544437Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9544494Z {
2023-01-11T21:01:51.9544561Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9544619Z     {
2023-01-11T21:01:51.9544778Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9544864Z         auto tmp1 = tmp0.log1p();
2023-01-11T21:01:51.9544989Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9545067Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9545151Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9545221Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9545279Z     }
2023-01-11T21:01:51.9545364Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9545442Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9545500Z     {
2023-01-11T21:01:51.9545579Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9545666Z         auto tmp1 = std::log1p(tmp0);
2023-01-11T21:01:51.9545749Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:51.9545829Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9545904Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9545976Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9546035Z     }
2023-01-11T21:01:51.9546092Z }
2023-01-11T21:01:51.9546156Z ''')
2023-01-11T21:01:51.9546173Z 
2023-01-11T21:01:51.9546177Z 
2023-01-11T21:01:51.9546251Z async_compile.wait(globals())
2023-01-11T21:01:51.9546320Z del async_compile
2023-01-11T21:01:51.9546325Z 
2023-01-11T21:01:51.9546392Z def call(args):
2023-01-11T21:01:51.9546458Z     arg0_1, = args
2023-01-11T21:01:51.9546525Z     args.clear()
2023-01-11T21:01:51.9546717Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9546907Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9547057Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9547124Z     del arg0_1
2023-01-11T21:01:51.9547198Z     return (buf0, buf1, )
2023-01-11T21:01:51.9547203Z 
2023-01-11T21:01:51.9547207Z 
2023-01-11T21:01:51.9547280Z if __name__ == "__main__":
2023-01-11T21:01:51.9547393Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9547514Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9547704Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9547808Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9547813Z 
2023-01-11T21:01:51.9547817Z 
2023-01-11T21:01:51.9547910Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9547965Z import torch
2023-01-11T21:01:51.9548031Z import random
2023-01-11T21:01:51.9548142Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9548259Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9548264Z 
2023-01-11T21:01:51.9548341Z aten = torch.ops.aten
2023-01-11T21:01:51.9548472Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9548561Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9548566Z 
2023-01-11T21:01:51.9548570Z 
2023-01-11T21:01:51.9548687Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9548891Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9549007Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9549104Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9549198Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9549255Z {
2023-01-11T21:01:51.9549332Z     for(long i0=0; i0<25; i0+=1)
2023-01-11T21:01:51.9549389Z     {
2023-01-11T21:01:51.9549505Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9549586Z         auto tmp1 = tmp0.log1p();
2023-01-11T21:01:51.9549711Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9549823Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9549908Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9549990Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9550048Z     }
2023-01-11T21:01:51.9550146Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9550226Z     for(long i0=200; i0<201; i0+=1)
2023-01-11T21:01:51.9550284Z     {
2023-01-11T21:01:51.9550362Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9550448Z         auto tmp1 = std::log1p(tmp0);
2023-01-11T21:01:51.9550541Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:51.9550619Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9550682Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9550755Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9550813Z     }
2023-01-11T21:01:51.9550869Z }
2023-01-11T21:01:51.9550945Z ''')
2023-01-11T21:01:51.9550950Z 
2023-01-11T21:01:51.9550954Z 
2023-01-11T21:01:51.9551038Z async_compile.wait(globals())
2023-01-11T21:01:51.9551109Z del async_compile
2023-01-11T21:01:51.9551114Z 
2023-01-11T21:01:51.9551170Z def call(args):
2023-01-11T21:01:51.9551235Z     arg0_1, = args
2023-01-11T21:01:51.9551302Z     args.clear()
2023-01-11T21:01:51.9551495Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9551683Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9551843Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9551907Z     del arg0_1
2023-01-11T21:01:51.9551969Z     return (buf0, buf1, )
2023-01-11T21:01:51.9551974Z 
2023-01-11T21:01:51.9551990Z 
2023-01-11T21:01:51.9552052Z if __name__ == "__main__":
2023-01-11T21:01:51.9552161Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9552280Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9552474Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9552580Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9552585Z 
2023-01-11T21:01:51.9552589Z 
2023-01-11T21:01:51.9552678Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9552744Z import torch
2023-01-11T21:01:51.9552801Z import random
2023-01-11T21:01:51.9552999Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9553123Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9553128Z 
2023-01-11T21:01:51.9553206Z aten = torch.ops.aten
2023-01-11T21:01:51.9553336Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9553425Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9553430Z 
2023-01-11T21:01:51.9553434Z 
2023-01-11T21:01:51.9553565Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9553768Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9553875Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:51.9553977Z                        double* __restrict__ out_ptr0,
2023-01-11T21:01:51.9554073Z                        double* __restrict__ out_ptr1)
2023-01-11T21:01:51.9554131Z {
2023-01-11T21:01:51.9554206Z     #pragma GCC ivdep
2023-01-11T21:01:51.9554288Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.9554346Z     {
2023-01-11T21:01:51.9554396Z         {
2023-01-11T21:01:51.9554459Z             {
2023-01-11T21:01:51.9554545Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9554641Z                 auto tmp1 = std::log1p(tmp0);
2023-01-11T21:01:51.9554739Z                 auto tmp2 = static_cast<double>(2);
2023-01-11T21:01:51.9554822Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9554902Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9554967Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9555027Z             }
2023-01-11T21:01:51.9555087Z         }
2023-01-11T21:01:51.9555145Z     }
2023-01-11T21:01:51.9555202Z }
2023-01-11T21:01:51.9555314Z ''')
2023-01-11T21:01:51.9555319Z 
2023-01-11T21:01:51.9555323Z 
2023-01-11T21:01:51.9555408Z async_compile.wait(globals())
2023-01-11T21:01:51.9555466Z del async_compile
2023-01-11T21:01:51.9555483Z 
2023-01-11T21:01:51.9555538Z def call(args):
2023-01-11T21:01:51.9555635Z     arg0_1, = args
2023-01-11T21:01:51.9555706Z     args.clear()
2023-01-11T21:01:51.9555896Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9556082Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9556240Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9556306Z     del arg0_1
2023-01-11T21:01:51.9556368Z     return (buf0, buf1, )
2023-01-11T21:01:51.9556374Z 
2023-01-11T21:01:51.9556378Z 
2023-01-11T21:01:51.9556450Z if __name__ == "__main__":
2023-01-11T21:01:51.9556559Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9556677Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9556870Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9556977Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9557242Z [2023-01-11 20:56:20,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323
2023-01-11T21:01:51.9557639Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9557763Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9558006Z [2023-01-11 20:56:20,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324
2023-01-11T21:01:51.9558265Z [2023-01-11 20:56:22,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324
2023-01-11T21:01:51.9558665Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9558790Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9559042Z [2023-01-11 20:56:22,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325
2023-01-11T21:01:51.9559301Z [2023-01-11 20:56:23,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325
2023-01-11T21:01:51.9559696Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9559820Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9560074Z [2023-01-11 20:56:23,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326
2023-01-11T21:01:51.9560332Z [2023-01-11 20:56:25,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326
2023-01-11T21:01:51.9560728Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9560840Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9561090Z [2023-01-11 20:56:25,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327
2023-01-11T21:01:51.9561379Z [2023-01-11 20:56:26,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327
2023-01-11T21:01:51.9561798Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9561921Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9562173Z [2023-01-11 20:56:26,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328
2023-01-11T21:01:51.9562179Z 
2023-01-11T21:01:51.9562183Z 
2023-01-11T21:01:51.9562274Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9562340Z import torch
2023-01-11T21:01:51.9562408Z import random
2023-01-11T21:01:51.9562523Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9562630Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9562635Z 
2023-01-11T21:01:51.9562709Z aten = torch.ops.aten
2023-01-11T21:01:51.9562843Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9562931Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9562937Z 
2023-01-11T21:01:51.9562941Z 
2023-01-11T21:01:51.9563071Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9563272Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9563541Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:51.9563691Z                        double* __restrict__ out_ptr0,
2023-01-11T21:01:51.9563780Z                        double* __restrict__ out_ptr1)
2023-01-11T21:01:51.9563840Z {
2023-01-11T21:01:51.9563915Z     #pragma GCC ivdep
2023-01-11T21:01:51.9563997Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.9564057Z     {
2023-01-11T21:01:51.9564119Z         {
2023-01-11T21:01:51.9564169Z             {
2023-01-11T21:01:51.9564258Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9564360Z                 auto tmp1 = std::log1p(tmp0);
2023-01-11T21:01:51.9564461Z                 auto tmp2 = static_cast<double>(2);
2023-01-11T21:01:51.9564546Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9564626Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9564704Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9564754Z             }
2023-01-11T21:01:51.9564815Z         }
2023-01-11T21:01:51.9564873Z     }
2023-01-11T21:01:51.9564932Z }
2023-01-11T21:01:51.9565010Z ''')
2023-01-11T21:01:51.9565016Z 
2023-01-11T21:01:51.9565020Z 
2023-01-11T21:01:51.9565106Z async_compile.wait(globals())
2023-01-11T21:01:51.9565176Z del async_compile
2023-01-11T21:01:51.9565181Z 
2023-01-11T21:01:51.9565248Z def call(args):
2023-01-11T21:01:51.9565305Z     arg0_1, = args
2023-01-11T21:01:51.9565372Z     args.clear()
2023-01-11T21:01:51.9565563Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9565754Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9565917Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9565982Z     del arg0_1
2023-01-11T21:01:51.9566056Z     return (buf0, buf1, )
2023-01-11T21:01:51.9566062Z 
2023-01-11T21:01:51.9566066Z 
2023-01-11T21:01:51.9566127Z if __name__ == "__main__":
2023-01-11T21:01:51.9566238Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9566357Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9566548Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9566653Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9566658Z 
2023-01-11T21:01:51.9566725Z 
2023-01-11T21:01:51.9566817Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9566884Z import torch
2023-01-11T21:01:51.9566951Z import random
2023-01-11T21:01:51.9567052Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9567216Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9567222Z 
2023-01-11T21:01:51.9567298Z aten = torch.ops.aten
2023-01-11T21:01:51.9567427Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9567514Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9567520Z 
2023-01-11T21:01:51.9567524Z 
2023-01-11T21:01:51.9567654Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9567855Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9567966Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:51.9568052Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9568146Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9568207Z {
2023-01-11T21:01:51.9568281Z     #pragma GCC ivdep
2023-01-11T21:01:51.9568361Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.9568420Z     {
2023-01-11T21:01:51.9568483Z         {
2023-01-11T21:01:51.9568534Z             {
2023-01-11T21:01:51.9568618Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9568721Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.9568817Z                 auto tmp2 = std::log1p(tmp1);
2023-01-11T21:01:51.9568915Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.9569000Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.9569080Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9569146Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9569207Z             }
2023-01-11T21:01:51.9569268Z         }
2023-01-11T21:01:51.9569326Z     }
2023-01-11T21:01:51.9569381Z }
2023-01-11T21:01:51.9569459Z ''')
2023-01-11T21:01:51.9569464Z 
2023-01-11T21:01:51.9569470Z 
2023-01-11T21:01:51.9569555Z async_compile.wait(globals())
2023-01-11T21:01:51.9569613Z del async_compile
2023-01-11T21:01:51.9569618Z 
2023-01-11T21:01:51.9569684Z def call(args):
2023-01-11T21:01:51.9569750Z     arg0_1, = args
2023-01-11T21:01:51.9569818Z     args.clear()
2023-01-11T21:01:51.9570009Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9570194Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9570355Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9570411Z     del arg0_1
2023-01-11T21:01:51.9570484Z     return (buf0, buf1, )
2023-01-11T21:01:51.9570490Z 
2023-01-11T21:01:51.9570494Z 
2023-01-11T21:01:51.9570567Z if __name__ == "__main__":
2023-01-11T21:01:51.9570677Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9570800Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9570990Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.9571094Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9571099Z 
2023-01-11T21:01:51.9571104Z 
2023-01-11T21:01:51.9571193Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9571259Z import torch
2023-01-11T21:01:51.9571315Z import random
2023-01-11T21:01:51.9571426Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9571542Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9571547Z 
2023-01-11T21:01:51.9571620Z aten = torch.ops.aten
2023-01-11T21:01:51.9571748Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9571836Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9571841Z 
2023-01-11T21:01:51.9571845Z 
2023-01-11T21:01:51.9571973Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9572174Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9572306Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:51.9572403Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9572497Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9572583Z {
2023-01-11T21:01:51.9572656Z     #pragma GCC ivdep
2023-01-11T21:01:51.9572734Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.9572791Z     {
2023-01-11T21:01:51.9572840Z         {
2023-01-11T21:01:51.9572901Z             {
2023-01-11T21:01:51.9572986Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9573087Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.9573181Z                 auto tmp2 = std::log1p(tmp1);
2023-01-11T21:01:51.9573277Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.9573350Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.9573428Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9573505Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9573566Z             }
2023-01-11T21:01:51.9573625Z         }
2023-01-11T21:01:51.9573683Z     }
2023-01-11T21:01:51.9573739Z }
2023-01-11T21:01:51.9573803Z ''')
2023-01-11T21:01:51.9573809Z 
2023-01-11T21:01:51.9573825Z 
2023-01-11T21:01:51.9573901Z async_compile.wait(globals())
2023-01-11T21:01:51.9573970Z del async_compile
2023-01-11T21:01:51.9573975Z 
2023-01-11T21:01:51.9574041Z def call(args):
2023-01-11T21:01:51.9574107Z     arg0_1, = args
2023-01-11T21:01:51.9574173Z     args.clear()
2023-01-11T21:01:51.9574364Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9574555Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9574703Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9574768Z     del arg0_1
2023-01-11T21:01:51.9574844Z     return (buf0, buf1, )
2023-01-11T21:01:51.9574849Z 
2023-01-11T21:01:51.9574854Z 
2023-01-11T21:01:51.9574928Z if __name__ == "__main__":
2023-01-11T21:01:51.9575037Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9575155Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9575348Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:51.9575451Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9575456Z 
2023-01-11T21:01:51.9575461Z 
2023-01-11T21:01:51.9575539Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9575605Z import torch
2023-01-11T21:01:51.9575671Z import random
2023-01-11T21:01:51.9575785Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9575902Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9575907Z 
2023-01-11T21:01:51.9575982Z aten = torch.ops.aten
2023-01-11T21:01:51.9576110Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9576187Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9576204Z 
2023-01-11T21:01:51.9576210Z 
2023-01-11T21:01:51.9576327Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9576527Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9576644Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9576740Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9576834Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9576892Z {
2023-01-11T21:01:51.9576965Z     #pragma GCC ivdep
2023-01-11T21:01:51.9577032Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.9577090Z     {
2023-01-11T21:01:51.9577150Z         {
2023-01-11T21:01:51.9577209Z             {
2023-01-11T21:01:51.9577294Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9577395Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.9577489Z                 auto tmp2 = std::log1p(tmp1);
2023-01-11T21:01:51.9577574Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.9577691Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.9577775Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9577851Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9577911Z             }
2023-01-11T21:01:51.9577995Z         }
2023-01-11T21:01:51.9578055Z     }
2023-01-11T21:01:51.9578102Z }
2023-01-11T21:01:51.9578177Z ''')
2023-01-11T21:01:51.9578182Z 
2023-01-11T21:01:51.9578187Z 
2023-01-11T21:01:51.9578273Z async_compile.wait(globals())
2023-01-11T21:01:51.9578343Z del async_compile
2023-01-11T21:01:51.9578349Z 
2023-01-11T21:01:51.9578415Z def call(args):
2023-01-11T21:01:51.9578480Z     arg0_1, = args
2023-01-11T21:01:51.9578548Z     args.clear()
2023-01-11T21:01:51.9578726Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9578912Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9579071Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9579142Z     del arg0_1
2023-01-11T21:01:51.9579215Z     return (buf0, buf1, )
2023-01-11T21:01:51.9579220Z 
2023-01-11T21:01:51.9579225Z 
2023-01-11T21:01:51.9579295Z if __name__ == "__main__":
2023-01-11T21:01:51.9579406Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9579525Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9579702Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9579806Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9579811Z 
2023-01-11T21:01:51.9579816Z 
2023-01-11T21:01:51.9579904Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9579971Z import torch
2023-01-11T21:01:51.9580038Z import random
2023-01-11T21:01:51.9580147Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9580262Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9580267Z 
2023-01-11T21:01:51.9580344Z aten = torch.ops.aten
2023-01-11T21:01:51.9580462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9580550Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9580555Z 
2023-01-11T21:01:51.9580560Z 
2023-01-11T21:01:51.9580692Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9580893Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9581008Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9581104Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9581198Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9581255Z {
2023-01-11T21:01:51.9581317Z     #pragma GCC ivdep
2023-01-11T21:01:51.9581396Z     for(long i0=0; i0<201; i0+=1)
2023-01-11T21:01:51.9581455Z     {
2023-01-11T21:01:51.9581515Z         {
2023-01-11T21:01:51.9581575Z             {
2023-01-11T21:01:51.9581661Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9581755Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.9581852Z                 auto tmp2 = std::log1p(tmp1);
2023-01-11T21:01:51.9581948Z                 auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.9582034Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:51.9582113Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9582189Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9582247Z             }
2023-01-11T21:01:51.9582294Z         }
2023-01-11T21:01:51.9582352Z     }
2023-01-11T21:01:51.9582407Z }
2023-01-11T21:01:51.9582481Z ''')
2023-01-11T21:01:51.9582486Z 
2023-01-11T21:01:51.9582491Z 
2023-01-11T21:01:51.9582575Z async_compile.wait(globals())
2023-01-11T21:01:51.9582644Z del async_compile
2023-01-11T21:01:51.9582649Z 
2023-01-11T21:01:51.9582715Z def call(args):
2023-01-11T21:01:51.9582771Z     arg0_1, = args
2023-01-11T21:01:51.9582838Z     args.clear()
2023-01-11T21:01:51.9583026Z     buf0 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9583284Z     buf1 = empty_strided((201, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9583446Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9583539Z     del arg0_1
2023-01-11T21:01:51.9583616Z     return (buf0, buf1, )
2023-01-11T21:01:51.9583622Z 
2023-01-11T21:01:51.9583626Z 
2023-01-11T21:01:51.9583699Z if __name__ == "__main__":
2023-01-11T21:01:51.9583799Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9583918Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9584106Z     arg0_1 = rand_strided((201, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9584213Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9584478Z [2023-01-11 20:56:28,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328
2023-01-11T21:01:51.9584484Z 
2023-01-11T21:01:51.9584552Z ok (15.319s)
2023-01-11T21:01:51.9584986Z   test_log2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9585112Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9585366Z [2023-01-11 20:56:28,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329
2023-01-11T21:01:51.9585628Z [2023-01-11 20:56:29,769] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329
2023-01-11T21:01:51.9585633Z 
2023-01-11T21:01:51.9585713Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9585780Z import torch
2023-01-11T21:01:51.9585848Z import random
2023-01-11T21:01:51.9585959Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9586079Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9586084Z 
2023-01-11T21:01:51.9586160Z aten = torch.ops.aten
2023-01-11T21:01:51.9586294Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9586371Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9586376Z 
2023-01-11T21:01:51.9586392Z 
2023-01-11T21:01:51.9586510Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9586710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9586827Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9586925Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9587019Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9587078Z {
2023-01-11T21:01:51.9587156Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9587203Z     {
2023-01-11T21:01:51.9587332Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9587413Z         auto tmp1 = tmp0.log();
2023-01-11T21:01:51.9587551Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1.4426950408889634));
2023-01-11T21:01:51.9587633Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9587760Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9587837Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:51.9587903Z         auto tmp6 = tmp5.log();
2023-01-11T21:01:51.9587981Z         auto tmp7 = tmp6 * tmp2;
2023-01-11T21:01:51.9588108Z         auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9588222Z         auto tmp9 = tmp7 - tmp8;
2023-01-11T21:01:51.9588308Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9588389Z         tmp9.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9588447Z     }
2023-01-11T21:01:51.9588521Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9588599Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9588691Z     {
2023-01-11T21:01:51.9588768Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9588852Z         auto tmp1 = std::log(tmp0);
2023-01-11T21:01:51.9588959Z         auto tmp2 = static_cast<float>(1.4426950408889634);
2023-01-11T21:01:51.9589066Z         auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9589150Z         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:51.9589228Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:51.9589311Z         auto tmp6 = std::log(tmp5);
2023-01-11T21:01:51.9589388Z         auto tmp7 = tmp6 * tmp2;
2023-01-11T21:01:51.9589478Z         auto tmp8 = static_cast<float>(2);
2023-01-11T21:01:51.9589592Z         auto tmp9 = tmp7 - tmp8;
2023-01-11T21:01:51.9589668Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.9589730Z         out_ptr1[i0] = tmp9;
2023-01-11T21:01:51.9589790Z     }
2023-01-11T21:01:51.9589847Z }
2023-01-11T21:01:51.9589922Z ''')
2023-01-11T21:01:51.9589927Z 
2023-01-11T21:01:51.9589931Z 
2023-01-11T21:01:51.9590019Z async_compile.wait(globals())
2023-01-11T21:01:51.9590091Z del async_compile
2023-01-11T21:01:51.9590096Z 
2023-01-11T21:01:51.9590163Z def call(args):
2023-01-11T21:01:51.9590229Z     arg0_1, = args
2023-01-11T21:01:51.9590287Z     args.clear()
2023-01-11T21:01:51.9590482Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9590669Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9590828Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9590893Z     del arg0_1
2023-01-11T21:01:51.9590966Z     return (buf0, buf1, )
2023-01-11T21:01:51.9590971Z 
2023-01-11T21:01:51.9590976Z 
2023-01-11T21:01:51.9591048Z if __name__ == "__main__":
2023-01-11T21:01:51.9591147Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9591266Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9591458Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9591564Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9591568Z 
2023-01-11T21:01:51.9591633Z ok (1.540s)
2023-01-11T21:01:51.9592066Z   test_log_fp64_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9592192Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9592448Z [2023-01-11 20:56:29,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330
2023-01-11T21:01:51.9592705Z [2023-01-11 20:56:31,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330
2023-01-11T21:01:51.9592710Z 
2023-01-11T21:01:51.9592801Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9592942Z import torch
2023-01-11T21:01:51.9593018Z import random
2023-01-11T21:01:51.9593132Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9593252Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9593257Z 
2023-01-11T21:01:51.9593333Z aten = torch.ops.aten
2023-01-11T21:01:51.9593466Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9593556Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9593561Z 
2023-01-11T21:01:51.9593565Z 
2023-01-11T21:01:51.9593700Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9593890Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9594007Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:51.9594107Z                        double* __restrict__ out_ptr0,
2023-01-11T21:01:51.9594203Z                        double* __restrict__ out_ptr1)
2023-01-11T21:01:51.9594299Z {
2023-01-11T21:01:51.9594373Z     #pragma GCC ivdep
2023-01-11T21:01:51.9594453Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9594502Z     {
2023-01-11T21:01:51.9594561Z         {
2023-01-11T21:01:51.9594622Z             {
2023-01-11T21:01:51.9594738Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9594836Z                 auto tmp1 = std::log(tmp0);
2023-01-11T21:01:51.9594947Z                 auto tmp2 = static_cast<double>(1.4426950408889634);
2023-01-11T21:01:51.9595033Z                 auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:51.9595102Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9595178Z                 out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9595239Z             }
2023-01-11T21:01:51.9595300Z         }
2023-01-11T21:01:51.9595360Z     }
2023-01-11T21:01:51.9595418Z }
2023-01-11T21:01:51.9595482Z ''')
2023-01-11T21:01:51.9595487Z 
2023-01-11T21:01:51.9595502Z 
2023-01-11T21:01:51.9595577Z async_compile.wait(globals())
2023-01-11T21:01:51.9595649Z del async_compile
2023-01-11T21:01:51.9595654Z 
2023-01-11T21:01:51.9595720Z def call(args):
2023-01-11T21:01:51.9595786Z     arg0_1, = args
2023-01-11T21:01:51.9595855Z     args.clear()
2023-01-11T21:01:51.9596051Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9596242Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9596392Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9596457Z     del arg0_1
2023-01-11T21:01:51.9596529Z     return (buf0, buf1, )
2023-01-11T21:01:51.9596534Z 
2023-01-11T21:01:51.9596539Z 
2023-01-11T21:01:51.9596612Z if __name__ == "__main__":
2023-01-11T21:01:51.9596722Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9596840Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9597032Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:51.9597139Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9597144Z 
2023-01-11T21:01:51.9597195Z ok (1.519s)
2023-01-11T21:01:51.9597635Z   test_log_softmax_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9597758Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9598013Z [2023-01-11 20:56:31,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331
2023-01-11T21:01:51.9598018Z 
2023-01-11T21:01:51.9598108Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9598177Z import torch
2023-01-11T21:01:51.9598245Z import random
2023-01-11T21:01:51.9598356Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9598476Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9598481Z 
2023-01-11T21:01:51.9598546Z aten = torch.ops.aten
2023-01-11T21:01:51.9598676Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9598766Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9598772Z 
2023-01-11T21:01:51.9598776Z 
2023-01-11T21:01:51.9598904Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9599107Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9599224Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9599325Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9599426Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9599509Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9599602Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.9599724Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.9599814Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:51.9599903Z                        float* __restrict__ out_ptr5,
2023-01-11T21:01:51.9600017Z                        float* __restrict__ out_ptr6,
2023-01-11T21:01:51.9600108Z                        float* __restrict__ out_ptr7,
2023-01-11T21:01:51.9600186Z                        float* __restrict__ out_ptr8)
2023-01-11T21:01:51.9600244Z {
2023-01-11T21:01:51.9600317Z     #pragma GCC ivdep
2023-01-11T21:01:51.9600394Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9600452Z     {
2023-01-11T21:01:51.9600512Z         {
2023-01-11T21:01:51.9600880Z             #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:51.9601103Z             float tmp3 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9601212Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:51.9601292Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9601352Z             {
2023-01-11T21:01:51.9601494Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9601633Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9601718Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9601827Z                 tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2023-01-11T21:01:51.9601888Z             }
2023-01-11T21:01:51.9602083Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2023-01-11T21:01:51.9602199Z             #pragma omp simd simdlen(4)  reduction(max:tmp3)
2023-01-11T21:01:51.9602281Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9602340Z             {
2023-01-11T21:01:51.9602436Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.9602529Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:51.9602613Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9602696Z                 tmp3 = std::max(tmp3, tmp2);
2023-01-11T21:01:51.9602757Z             }
2023-01-11T21:01:51.9602835Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.9602895Z         }
2023-01-11T21:01:51.9602955Z     }
2023-01-11T21:01:51.9603026Z     #pragma GCC ivdep
2023-01-11T21:01:51.9603101Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9603148Z     {
2023-01-11T21:01:51.9603206Z         {
2023-01-11T21:01:51.9603528Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9603643Z             float tmp6 = 0;
2023-01-11T21:01:51.9603791Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:51.9604168Z             #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:51.9604371Z             float tmp7 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9604489Z             auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:51.9604571Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9604621Z             {
2023-01-11T21:01:51.9604758Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9604893Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9605017Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:51.9605101Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9605229Z                 auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:51.9605313Z                 auto tmp5 = tmp4.exp();
2023-01-11T21:01:51.9605379Z                 tmp6_vec += tmp5;
2023-01-11T21:01:51.9605560Z                 tmp7_vec = at::vec::maximum(tmp7_vec, tmp1);
2023-01-11T21:01:51.9605622Z             }
2023-01-11T21:01:51.9605862Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:51.9606069Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2023-01-11T21:01:51.9606206Z             #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(max:tmp7)
2023-01-11T21:01:51.9606287Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9606348Z             {
2023-01-11T21:01:51.9606445Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.9606528Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:51.9606614Z                 auto tmp3 = out_ptr0[i0];
2023-01-11T21:01:51.9606699Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9606828Z                 auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:51.9606921Z                 auto tmp5 = std::exp(tmp4);
2023-01-11T21:01:51.9606994Z                 tmp6 += tmp5;
2023-01-11T21:01:51.9607090Z                 tmp7 = std::max(tmp7, tmp1);
2023-01-11T21:01:51.9607140Z             }
2023-01-11T21:01:51.9607218Z             out_ptr1[i0] = tmp6;
2023-01-11T21:01:51.9607295Z             out_ptr2[i0] = tmp7;
2023-01-11T21:01:51.9607355Z         }
2023-01-11T21:01:51.9607414Z     }
2023-01-11T21:01:51.9607488Z     #pragma GCC ivdep
2023-01-11T21:01:51.9607563Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9607609Z     {
2023-01-11T21:01:51.9607668Z         {
2023-01-11T21:01:51.9607728Z             {
2023-01-11T21:01:51.9607932Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9608018Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.9608080Z                 {
2023-01-11T21:01:51.9608133Z                     {
2023-01-11T21:01:51.9608234Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:51.9608333Z                         tmp1 = std::max(tmp1, tmp0);
2023-01-11T21:01:51.9608395Z                     }
2023-01-11T21:01:51.9608457Z                 }
2023-01-11T21:01:51.9608537Z                 out_ptr3[i0] = tmp1;
2023-01-11T21:01:51.9608597Z             }
2023-01-11T21:01:51.9608645Z         }
2023-01-11T21:01:51.9608703Z     }
2023-01-11T21:01:51.9608774Z     #pragma GCC ivdep
2023-01-11T21:01:51.9608851Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9608908Z     {
2023-01-11T21:01:51.9608965Z         {
2023-01-11T21:01:51.9609023Z             {
2023-01-11T21:01:51.9609085Z                 float tmp4 = 0;
2023-01-11T21:01:51.9609169Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.9609231Z                 {
2023-01-11T21:01:51.9609292Z                     {
2023-01-11T21:01:51.9609390Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:51.9609484Z                         auto tmp1 = out_ptr3[i0];
2023-01-11T21:01:51.9609622Z                         auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9609708Z                         auto tmp3 = std::exp(tmp2);
2023-01-11T21:01:51.9609786Z                         tmp4 += tmp3;
2023-01-11T21:01:51.9609849Z                     }
2023-01-11T21:01:51.9609909Z                 }
2023-01-11T21:01:51.9609987Z                 out_ptr4[i0] = tmp4;
2023-01-11T21:01:51.9610046Z             }
2023-01-11T21:01:51.9610104Z         }
2023-01-11T21:01:51.9610151Z     }
2023-01-11T21:01:51.9610222Z     #pragma GCC ivdep
2023-01-11T21:01:51.9610295Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9610353Z     {
2023-01-11T21:01:51.9610411Z         {
2023-01-11T21:01:51.9610590Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9610663Z             float tmp4 = 0;
2023-01-11T21:01:51.9610768Z             auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2023-01-11T21:01:51.9610882Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9610941Z             {
2023-01-11T21:01:51.9611078Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9611226Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2023-01-11T21:01:51.9611354Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9611437Z                 auto tmp3 = tmp2.exp();
2023-01-11T21:01:51.9611503Z                 tmp4_vec += tmp3;
2023-01-11T21:01:51.9611564Z             }
2023-01-11T21:01:51.9611756Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2023-01-11T21:01:51.9611870Z             #pragma omp simd simdlen(4)  reduction(+:tmp4)
2023-01-11T21:01:51.9611951Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9612012Z             {
2023-01-11T21:01:51.9612103Z                 auto tmp0 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:51.9612192Z                 auto tmp1 = out_ptr2[i0];
2023-01-11T21:01:51.9612305Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9612400Z                 auto tmp3 = std::exp(tmp2);
2023-01-11T21:01:51.9612475Z                 tmp4 += tmp3;
2023-01-11T21:01:51.9612536Z             }
2023-01-11T21:01:51.9612614Z             out_ptr5[i0] = tmp4;
2023-01-11T21:01:51.9612672Z         }
2023-01-11T21:01:51.9612730Z     }
2023-01-11T21:01:51.9612791Z     #pragma GCC ivdep
2023-01-11T21:01:51.9612867Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9612925Z     {
2023-01-11T21:01:51.9613003Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9613062Z         {
2023-01-11T21:01:51.9613195Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9613324Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9613433Z             auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:51.9613553Z             auto tmp5 = at::vec::Vectorized<float>(out_ptr1[i0]);
2023-01-11T21:01:51.9613682Z             auto tmp8 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i1);
2023-01-11T21:01:51.9613812Z             auto tmp10 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i1);
2023-01-11T21:01:51.9613932Z             auto tmp13 = at::vec::Vectorized<float>(out_ptr2[i0]);
2023-01-11T21:01:51.9614048Z             auto tmp15 = at::vec::Vectorized<float>(out_ptr5[i0]);
2023-01-11T21:01:51.9614130Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9614250Z             auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:51.9614319Z             auto tmp6 = tmp5.log();
2023-01-11T21:01:51.9614436Z             auto tmp7 = tmp4 - tmp6;
2023-01-11T21:01:51.9614552Z             auto tmp9 = tmp0 - tmp8;
2023-01-11T21:01:51.9614632Z             auto tmp11 = tmp10.log();
2023-01-11T21:01:51.9614754Z             auto tmp12 = tmp9 - tmp11;
2023-01-11T21:01:51.9614877Z             auto tmp14 = tmp1 - tmp13;
2023-01-11T21:01:51.9614959Z             auto tmp16 = tmp15.log();
2023-01-11T21:01:51.9615071Z             auto tmp17 = tmp14 - tmp16;
2023-01-11T21:01:51.9615168Z             tmp7.store(out_ptr6 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9615267Z             tmp12.store(out_ptr7 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9615363Z             tmp17.store(out_ptr8 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9615423Z         }
2023-01-11T21:01:51.9615511Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9615588Z         for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9615635Z         {
2023-01-11T21:01:51.9615726Z             auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.9615817Z             auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:51.9615899Z             auto tmp3 = out_ptr0[i0];
2023-01-11T21:01:51.9615979Z             auto tmp5 = out_ptr1[i0];
2023-01-11T21:01:51.9616057Z             auto tmp8 = out_ptr3[i1];
2023-01-11T21:01:51.9616138Z             auto tmp10 = out_ptr4[i1];
2023-01-11T21:01:51.9616239Z             auto tmp13 = out_ptr2[i0];
2023-01-11T21:01:51.9616323Z             auto tmp15 = out_ptr5[i0];
2023-01-11T21:01:51.9616402Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9616547Z             auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:51.9616634Z             auto tmp6 = std::log(tmp5);
2023-01-11T21:01:51.9616752Z             auto tmp7 = tmp4 - tmp6;
2023-01-11T21:01:51.9616867Z             auto tmp9 = tmp0 - tmp8;
2023-01-11T21:01:51.9616944Z             auto tmp11 = std::log(tmp10);
2023-01-11T21:01:51.9617062Z             auto tmp12 = tmp9 - tmp11;
2023-01-11T21:01:51.9617180Z             auto tmp14 = tmp1 - tmp13;
2023-01-11T21:01:51.9617267Z             auto tmp16 = std::log(tmp15);
2023-01-11T21:01:51.9617390Z             auto tmp17 = tmp14 - tmp16;
2023-01-11T21:01:51.9617472Z             out_ptr6[i1 + (8*i0)] = tmp7;
2023-01-11T21:01:51.9617557Z             out_ptr7[i1 + (8*i0)] = tmp12;
2023-01-11T21:01:51.9617628Z             out_ptr8[i1 + (8*i0)] = tmp17;
2023-01-11T21:01:51.9617691Z         }
2023-01-11T21:01:51.9617750Z     }
2023-01-11T21:01:51.9617807Z }
2023-01-11T21:01:51.9617881Z ''')
2023-01-11T21:01:51.9617888Z 
2023-01-11T21:01:51.9617893Z 
2023-01-11T21:01:51.9617979Z async_compile.wait(globals())
2023-01-11T21:01:51.9618049Z del async_compile
2023-01-11T21:01:51.9618054Z 
2023-01-11T21:01:51.9618110Z def call(args):
2023-01-11T21:01:51.9618182Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9618254Z     args.clear()
2023-01-11T21:01:51.9618448Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9618636Z     buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9618819Z     buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9619003Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9619184Z     buf4 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9619358Z     buf7 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9619537Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9619722Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9619902Z     buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9620247Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr()))
2023-01-11T21:01:51.9620313Z     del arg0_1
2023-01-11T21:01:51.9620374Z     del arg1_1
2023-01-11T21:01:51.9620455Z     return (buf2, buf5, buf8, )
2023-01-11T21:01:51.9620460Z 
2023-01-11T21:01:51.9620465Z 
2023-01-11T21:01:51.9620538Z if __name__ == "__main__":
2023-01-11T21:01:51.9620642Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9620765Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9620960Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9621151Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9621263Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9621527Z [2023-01-11 20:56:32,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331
2023-01-11T21:01:51.9621533Z 
2023-01-11T21:01:51.9621596Z ok (1.678s)
2023-01-11T21:01:51.9622031Z   test_logsumexp_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9622185Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9622464Z [2023-01-11 20:56:33,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332
2023-01-11T21:01:51.9622723Z [2023-01-11 20:56:34,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332
2023-01-11T21:01:51.9622730Z 
2023-01-11T21:01:51.9622820Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9622889Z import torch
2023-01-11T21:01:51.9622956Z import random
2023-01-11T21:01:51.9623067Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9623186Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9623191Z 
2023-01-11T21:01:51.9623267Z aten = torch.ops.aten
2023-01-11T21:01:51.9623386Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9623476Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9623483Z 
2023-01-11T21:01:51.9623487Z 
2023-01-11T21:01:51.9623619Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9623820Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9623935Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9624033Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.9624136Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9624232Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9624314Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:51.9624372Z {
2023-01-11T21:01:51.9624456Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:51.9624535Z     auto out_ptr2 = in_out_ptr1;
2023-01-11T21:01:51.9624607Z     #pragma GCC ivdep
2023-01-11T21:01:51.9624681Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9624728Z     {
2023-01-11T21:01:51.9624788Z         {
2023-01-11T21:01:51.9625159Z             #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:51.9625361Z             float tmp1 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9625481Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:51.9625562Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9625624Z             {
2023-01-11T21:01:51.9625760Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9625872Z                 tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2023-01-11T21:01:51.9625922Z             }
2023-01-11T21:01:51.9626127Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2023-01-11T21:01:51.9626243Z             #pragma omp simd simdlen(4)  reduction(max:tmp1)
2023-01-11T21:01:51.9626326Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9626386Z             {
2023-01-11T21:01:51.9626479Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.9626574Z                 tmp1 = std::max(tmp1, tmp0);
2023-01-11T21:01:51.9626635Z             }
2023-01-11T21:01:51.9626701Z             out_ptr0[i0] = tmp1;
2023-01-11T21:01:51.9626761Z         }
2023-01-11T21:01:51.9626818Z     }
2023-01-11T21:01:51.9626889Z     #pragma GCC ivdep
2023-01-11T21:01:51.9626964Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9627020Z     {
2023-01-11T21:01:51.9627068Z         {
2023-01-11T21:01:51.9627255Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9627329Z             float tmp4 = 0;
2023-01-11T21:01:51.9627446Z             auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2023-01-11T21:01:51.9627523Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9627582Z             {
2023-01-11T21:01:51.9627748Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9627870Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:51.9628015Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9628099Z                 auto tmp3 = tmp2.exp();
2023-01-11T21:01:51.9628175Z                 tmp4_vec += tmp3;
2023-01-11T21:01:51.9628236Z             }
2023-01-11T21:01:51.9628425Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2023-01-11T21:01:51.9628538Z             #pragma omp simd simdlen(4)  reduction(+:tmp4)
2023-01-11T21:01:51.9628617Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9628676Z             {
2023-01-11T21:01:51.9628759Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.9628845Z                 auto tmp1 = out_ptr0[i0];
2023-01-11T21:01:51.9628975Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9629067Z                 auto tmp3 = std::exp(tmp2);
2023-01-11T21:01:51.9629143Z                 tmp4 += tmp3;
2023-01-11T21:01:51.9629203Z             }
2023-01-11T21:01:51.9629278Z             out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9629328Z         }
2023-01-11T21:01:51.9629385Z     }
2023-01-11T21:01:51.9629457Z     #pragma GCC ivdep
2023-01-11T21:01:51.9629532Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9629589Z     {
2023-01-11T21:01:51.9629648Z         {
2023-01-11T21:01:51.9629696Z             {
2023-01-11T21:01:51.9629780Z                 auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:51.9629863Z                 auto tmp2 = out_ptr0[i0];
2023-01-11T21:01:51.9629954Z                 auto tmp1 = std::log(tmp0);
2023-01-11T21:01:51.9630046Z                 auto tmp3 = std::abs(tmp2);
2023-01-11T21:01:51.9630166Z                 auto tmp4 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9630249Z                 auto tmp5 = tmp3 == tmp4;
2023-01-11T21:01:51.9630341Z                 auto tmp6 = static_cast<float>(0.0);
2023-01-11T21:01:51.9630437Z                 auto tmp7 = tmp5 ? tmp6 : tmp2;
2023-01-11T21:01:51.9630519Z                 auto tmp8 = tmp1 + tmp7;
2023-01-11T21:01:51.9630601Z                 in_out_ptr0[i0] = tmp8;
2023-01-11T21:01:51.9630660Z             }
2023-01-11T21:01:51.9630721Z         }
2023-01-11T21:01:51.9630778Z     }
2023-01-11T21:01:51.9630839Z     #pragma GCC ivdep
2023-01-11T21:01:51.9630913Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9630971Z     {
2023-01-11T21:01:51.9631030Z         {
2023-01-11T21:01:51.9631090Z             {
2023-01-11T21:01:51.9631294Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9631379Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.9631430Z                 {
2023-01-11T21:01:51.9631494Z                     {
2023-01-11T21:01:51.9631594Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:51.9631694Z                         tmp1 = std::max(tmp1, tmp0);
2023-01-11T21:01:51.9631757Z                     }
2023-01-11T21:01:51.9631819Z                 }
2023-01-11T21:01:51.9631897Z                 out_ptr2[i0] = tmp1;
2023-01-11T21:01:51.9631947Z             }
2023-01-11T21:01:51.9632006Z         }
2023-01-11T21:01:51.9632064Z     }
2023-01-11T21:01:51.9632134Z     #pragma GCC ivdep
2023-01-11T21:01:51.9632208Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9632264Z     {
2023-01-11T21:01:51.9632312Z         {
2023-01-11T21:01:51.9632371Z             {
2023-01-11T21:01:51.9632444Z                 float tmp4 = 0;
2023-01-11T21:01:51.9632529Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:51.9632590Z                 {
2023-01-11T21:01:51.9632652Z                     {
2023-01-11T21:01:51.9632749Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:51.9632830Z                         auto tmp1 = out_ptr2[i0];
2023-01-11T21:01:51.9633065Z                         auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9633216Z                         auto tmp3 = std::exp(tmp2);
2023-01-11T21:01:51.9633292Z                         tmp4 += tmp3;
2023-01-11T21:01:51.9633358Z                     }
2023-01-11T21:01:51.9633450Z                 }
2023-01-11T21:01:51.9633529Z                 out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.9633578Z             }
2023-01-11T21:01:51.9633638Z         }
2023-01-11T21:01:51.9633697Z     }
2023-01-11T21:01:51.9633769Z     #pragma GCC ivdep
2023-01-11T21:01:51.9633846Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9633905Z     {
2023-01-11T21:01:51.9633966Z         {
2023-01-11T21:01:51.9634014Z             {
2023-01-11T21:01:51.9634098Z                 auto tmp0 = out_ptr3[i0];
2023-01-11T21:01:51.9634183Z                 auto tmp2 = out_ptr2[i0];
2023-01-11T21:01:51.9634276Z                 auto tmp1 = std::log(tmp0);
2023-01-11T21:01:51.9634365Z                 auto tmp3 = std::abs(tmp2);
2023-01-11T21:01:51.9634484Z                 auto tmp4 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9634574Z                 auto tmp5 = tmp3 == tmp4;
2023-01-11T21:01:51.9634665Z                 auto tmp6 = static_cast<float>(0.0);
2023-01-11T21:01:51.9634760Z                 auto tmp7 = tmp5 ? tmp6 : tmp2;
2023-01-11T21:01:51.9634844Z                 auto tmp8 = tmp1 + tmp7;
2023-01-11T21:01:51.9634940Z                 auto tmp9 = static_cast<float>(2);
2023-01-11T21:01:51.9635068Z                 auto tmp10 = tmp8 - tmp9;
2023-01-11T21:01:51.9635151Z                 in_out_ptr1[i0] = tmp10;
2023-01-11T21:01:51.9635216Z             }
2023-01-11T21:01:51.9635264Z         }
2023-01-11T21:01:51.9635322Z     }
2023-01-11T21:01:51.9635377Z }
2023-01-11T21:01:51.9635450Z ''')
2023-01-11T21:01:51.9635457Z 
2023-01-11T21:01:51.9635461Z 
2023-01-11T21:01:51.9635547Z async_compile.wait(globals())
2023-01-11T21:01:51.9635618Z del async_compile
2023-01-11T21:01:51.9635623Z 
2023-01-11T21:01:51.9635689Z def call(args):
2023-01-11T21:01:51.9635747Z     arg0_1, = args
2023-01-11T21:01:51.9635815Z     args.clear()
2023-01-11T21:01:51.9636008Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9636197Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9636303Z     buf2 = as_strided(buf0, (8, ), (1, )); del buf0  # reuse
2023-01-11T21:01:51.9636491Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9636675Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9636782Z     buf5 = as_strided(buf3, (8, ), (1, )); del buf3  # reuse
2023-01-11T21:01:51.9636978Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.9637045Z     del arg0_1
2023-01-11T21:01:51.9637118Z     return (buf2, buf5, )
2023-01-11T21:01:51.9637124Z 
2023-01-11T21:01:51.9637128Z 
2023-01-11T21:01:51.9637205Z if __name__ == "__main__":
2023-01-11T21:01:51.9637316Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9637435Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9637630Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9637734Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9637740Z 
2023-01-11T21:01:51.9637792Z ok (1.643s)
2023-01-11T21:01:51.9638231Z   test_long_tensor_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9638356Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9638613Z [2023-01-11 20:56:34,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333
2023-01-11T21:01:51.9638906Z [2023-01-11 20:56:36,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333
2023-01-11T21:01:51.9638912Z 
2023-01-11T21:01:51.9639033Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9639102Z import torch
2023-01-11T21:01:51.9639170Z import random
2023-01-11T21:01:51.9639283Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9639390Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9639395Z 
2023-01-11T21:01:51.9639469Z aten = torch.ops.aten
2023-01-11T21:01:51.9639600Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9639690Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9639695Z 
2023-01-11T21:01:51.9639699Z 
2023-01-11T21:01:51.9639831Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9640033Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9640150Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9640245Z                        long* __restrict__ out_ptr0,
2023-01-11T21:01:51.9640326Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.9640387Z {
2023-01-11T21:01:51.9640460Z     #pragma GCC ivdep
2023-01-11T21:01:51.9640543Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:51.9640600Z     {
2023-01-11T21:01:51.9640659Z         {
2023-01-11T21:01:51.9640718Z             {
2023-01-11T21:01:51.9640792Z                 auto tmp1 = in_ptr0[i0];
2023-01-11T21:01:51.9640888Z                 auto tmp0 = static_cast<long>(294);
2023-01-11T21:01:51.9641014Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:51.9641112Z                 auto tmp3 = static_cast<long>(295);
2023-01-11T21:01:51.9641195Z                 auto tmp4 = tmp3 + tmp1;
2023-01-11T21:01:51.9641274Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9641349Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:51.9641401Z             }
2023-01-11T21:01:51.9641458Z         }
2023-01-11T21:01:51.9641515Z     }
2023-01-11T21:01:51.9641571Z }
2023-01-11T21:01:51.9641645Z ''')
2023-01-11T21:01:51.9641650Z 
2023-01-11T21:01:51.9641654Z 
2023-01-11T21:01:51.9641740Z async_compile.wait(globals())
2023-01-11T21:01:51.9641810Z del async_compile
2023-01-11T21:01:51.9641815Z 
2023-01-11T21:01:51.9641870Z def call(args):
2023-01-11T21:01:51.9641936Z     arg0_1, = args
2023-01-11T21:01:51.9642004Z     args.clear()
2023-01-11T21:01:51.9642192Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9642376Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9642534Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9642600Z     del arg0_1
2023-01-11T21:01:51.9642663Z     return (buf0, buf1, )
2023-01-11T21:01:51.9642668Z 
2023-01-11T21:01:51.9642686Z 
2023-01-11T21:01:51.9642748Z if __name__ == "__main__":
2023-01-11T21:01:51.9642858Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9642981Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9643171Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9643275Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9643281Z 
2023-01-11T21:01:51.9643345Z ok (1.540s)
2023-01-11T21:01:51.9643917Z   test_lowmem_dropout1_cpu (__main__.CpuTests) ... [2023-01-11 20:56:36,179] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334
2023-01-11T21:01:51.9644189Z [2023-01-11 20:56:37,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334
2023-01-11T21:01:51.9644430Z [2023-01-11 20:56:37,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 334
2023-01-11T21:01:51.9644693Z [2023-01-11 20:56:37,714] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 334
2023-01-11T21:01:51.9645008Z [2023-01-11 20:56:37,837] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335
2023-01-11T21:01:51.9645308Z [2023-01-11 20:56:37,838] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.9645570Z [2023-01-11 20:56:39,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335
2023-01-11T21:01:51.9645823Z [2023-01-11 20:56:39,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 335
2023-01-11T21:01:51.9645829Z 
2023-01-11T21:01:51.9645921Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9645989Z import torch
2023-01-11T21:01:51.9646045Z import random
2023-01-11T21:01:51.9646159Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9646278Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9646283Z 
2023-01-11T21:01:51.9646362Z aten = torch.ops.aten
2023-01-11T21:01:51.9646494Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9646585Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9646590Z 
2023-01-11T21:01:51.9646594Z 
2023-01-11T21:01:51.9646727Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9646930Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9647035Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9647138Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9647235Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9647295Z {
2023-01-11T21:01:51.9647376Z     for(long i0=0; i0<12500; i0+=1)
2023-01-11T21:01:51.9647435Z     {
2023-01-11T21:01:51.9647569Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9647695Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9647766Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9647851Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9647910Z     }
2023-01-11T21:01:51.9647995Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9648080Z     for(long i0=100000; i0<100000; i0+=1)
2023-01-11T21:01:51.9648137Z     {
2023-01-11T21:01:51.9648204Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9648281Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9648358Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9648431Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9648489Z     }
2023-01-11T21:01:51.9648545Z }
2023-01-11T21:01:51.9648620Z ''')
2023-01-11T21:01:51.9648625Z 
2023-01-11T21:01:51.9648630Z 
2023-01-11T21:01:51.9648715Z async_compile.wait(globals())
2023-01-11T21:01:51.9648773Z del async_compile
2023-01-11T21:01:51.9648778Z 
2023-01-11T21:01:51.9648845Z def call(args):
2023-01-11T21:01:51.9648928Z     primals_1, primals_2 = args
2023-01-11T21:01:51.9648994Z     args.clear()
2023-01-11T21:01:51.9649193Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9649361Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9649431Z     del primals_2
2023-01-11T21:01:51.9649503Z     return (buf0, primals_1, )
2023-01-11T21:01:51.9649507Z 
2023-01-11T21:01:51.9649523Z 
2023-01-11T21:01:51.9649584Z if __name__ == "__main__":
2023-01-11T21:01:51.9649692Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9649811Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9650015Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9650216Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9650340Z     print_performance(lambda: call([primals_1, primals_2]))
2023-01-11T21:01:51.9650345Z 
2023-01-11T21:01:51.9650350Z 
2023-01-11T21:01:51.9650473Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9650528Z import torch
2023-01-11T21:01:51.9650595Z import random
2023-01-11T21:01:51.9650705Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9650849Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9650855Z 
2023-01-11T21:01:51.9650931Z aten = torch.ops.aten
2023-01-11T21:01:51.9651062Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9651149Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9651154Z 
2023-01-11T21:01:51.9651158Z 
2023-01-11T21:01:51.9651288Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9651478Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9651594Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9651694Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9651791Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9651852Z {
2023-01-11T21:01:51.9651930Z     for(long i0=0; i0<12500; i0+=1)
2023-01-11T21:01:51.9651988Z     {
2023-01-11T21:01:51.9652116Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9652232Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9652311Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9652395Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9652452Z     }
2023-01-11T21:01:51.9652535Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9652618Z     for(long i0=100000; i0<100000; i0+=1)
2023-01-11T21:01:51.9652675Z     {
2023-01-11T21:01:51.9652742Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9652819Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9652895Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:51.9652970Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9653027Z     }
2023-01-11T21:01:51.9653085Z }
2023-01-11T21:01:51.9653149Z ''')
2023-01-11T21:01:51.9653156Z 
2023-01-11T21:01:51.9653172Z 
2023-01-11T21:01:51.9653245Z async_compile.wait(globals())
2023-01-11T21:01:51.9653313Z del async_compile
2023-01-11T21:01:51.9653318Z 
2023-01-11T21:01:51.9653385Z def call(args):
2023-01-11T21:01:51.9653468Z     primals_1, tangents_1 = args
2023-01-11T21:01:51.9653535Z     args.clear()
2023-01-11T21:01:51.9653729Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9653901Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9653958Z     del primals_1
2023-01-11T21:01:51.9654027Z     del tangents_1
2023-01-11T21:01:51.9654102Z     return (None, buf0, )
2023-01-11T21:01:51.9654107Z 
2023-01-11T21:01:51.9654111Z 
2023-01-11T21:01:51.9654184Z if __name__ == "__main__":
2023-01-11T21:01:51.9654295Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9654413Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9654619Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9654821Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9654935Z     print_performance(lambda: call([primals_1, tangents_1]))
2023-01-11T21:01:51.9654941Z 
2023-01-11T21:01:51.9654957Z 
2023-01-11T21:01:51.9655035Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9655102Z import torch
2023-01-11T21:01:51.9655169Z import random
2023-01-11T21:01:51.9655281Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9655398Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9655403Z 
2023-01-11T21:01:51.9655479Z aten = torch.ops.aten
2023-01-11T21:01:51.9655609Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9655686Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9655844Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.9655880Z 
2023-01-11T21:01:51.9655884Z 
2023-01-11T21:01:51.9656015Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9656217Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9656358Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:51.9656462Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9656564Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9656660Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9656707Z {
2023-01-11T21:01:51.9656779Z     #pragma GCC ivdep
2023-01-11T21:01:51.9656858Z     for(long i0=0; i0<100000; i0+=1)
2023-01-11T21:01:51.9656915Z     {
2023-01-11T21:01:51.9656974Z         {
2023-01-11T21:01:51.9657035Z             {
2023-01-11T21:01:51.9657103Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.9657188Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.9657273Z                 auto tmp7 = in_ptr2[i0];
2023-01-11T21:01:51.9657370Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.9657502Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.9657605Z                 auto tmp3 = static_cast<float>(0.33);
2023-01-11T21:01:51.9657689Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.9657789Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.9657862Z                 auto tmp8 = tmp6 * tmp7;
2023-01-11T21:01:51.9657944Z                 auto tmp9 = tmp5 * tmp8;
2023-01-11T21:01:51.9658053Z                 auto tmp10 = static_cast<float>(1.492537313432836);
2023-01-11T21:01:51.9658141Z                 auto tmp11 = tmp9 * tmp10;
2023-01-11T21:01:51.9658220Z                 out_ptr0[i0] = tmp11;
2023-01-11T21:01:51.9658280Z             }
2023-01-11T21:01:51.9658339Z         }
2023-01-11T21:01:51.9658387Z     }
2023-01-11T21:01:51.9658442Z }
2023-01-11T21:01:51.9658520Z ''')
2023-01-11T21:01:51.9658525Z 
2023-01-11T21:01:51.9658530Z 
2023-01-11T21:01:51.9658615Z async_compile.wait(globals())
2023-01-11T21:01:51.9658683Z del async_compile
2023-01-11T21:01:51.9658688Z 
2023-01-11T21:01:51.9658754Z def call(args):
2023-01-11T21:01:51.9658839Z     primals_1, primals_2 = args
2023-01-11T21:01:51.9658895Z     args.clear()
2023-01-11T21:01:51.9659024Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.9659222Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9659429Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9659499Z     del primals_2
2023-01-11T21:01:51.9659609Z     return (buf0, primals_1, seed_cpu_None.clone(), )
2023-01-11T21:01:51.9659614Z 
2023-01-11T21:01:51.9659618Z 
2023-01-11T21:01:51.9659690Z if __name__ == "__main__":
2023-01-11T21:01:51.9659801Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9659911Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9660101Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9660305Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9660506Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9660630Z     print_performance(lambda: call([primals_1, primals_2]))
2023-01-11T21:01:51.9660636Z 
2023-01-11T21:01:51.9660640Z 
2023-01-11T21:01:51.9660730Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9660798Z import torch
2023-01-11T21:01:51.9660864Z import random
2023-01-11T21:01:51.9660965Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9661082Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9661088Z 
2023-01-11T21:01:51.9661162Z aten = torch.ops.aten
2023-01-11T21:01:51.9661291Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9661412Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9661417Z 
2023-01-11T21:01:51.9661421Z 
2023-01-11T21:01:51.9661549Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9661777Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9661895Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9661986Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9662088Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9662184Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9662243Z {
2023-01-11T21:01:51.9662316Z     #pragma GCC ivdep
2023-01-11T21:01:51.9662394Z     for(long i0=0; i0<100000; i0+=1)
2023-01-11T21:01:51.9662453Z     {
2023-01-11T21:01:51.9662502Z         {
2023-01-11T21:01:51.9662562Z             {
2023-01-11T21:01:51.9662644Z                 auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.9662732Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.9662819Z                 auto tmp10 = in_ptr2[i0];
2023-01-11T21:01:51.9662919Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.9663054Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.9663145Z                 auto tmp3 = static_cast<float>(0.33);
2023-01-11T21:01:51.9663228Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.9663328Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.9663413Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.9663521Z                 auto tmp8 = static_cast<float>(1.492537313432836);
2023-01-11T21:01:51.9663605Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.9663691Z                 auto tmp11 = tmp9 * tmp10;
2023-01-11T21:01:51.9663759Z                 out_ptr0[i0] = tmp11;
2023-01-11T21:01:51.9663821Z             }
2023-01-11T21:01:51.9663883Z         }
2023-01-11T21:01:51.9663943Z     }
2023-01-11T21:01:51.9663998Z }
2023-01-11T21:01:51.9664072Z ''')
2023-01-11T21:01:51.9664077Z 
2023-01-11T21:01:51.9664082Z 
2023-01-11T21:01:51.9664166Z async_compile.wait(globals())
2023-01-11T21:01:51.9664226Z del async_compile
2023-01-11T21:01:51.9664232Z 
2023-01-11T21:01:51.9664298Z def call(args):
2023-01-11T21:01:51.9664403Z     primals_1, philox_seed_like, tangents_1 = args
2023-01-11T21:01:51.9664474Z     args.clear()
2023-01-11T21:01:51.9664670Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9664883Z     kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9664959Z     del philox_seed_like
2023-01-11T21:01:51.9665026Z     del primals_1
2023-01-11T21:01:51.9665083Z     del tangents_1
2023-01-11T21:01:51.9665157Z     return (None, buf0, )
2023-01-11T21:01:51.9665162Z 
2023-01-11T21:01:51.9665168Z 
2023-01-11T21:01:51.9665241Z if __name__ == "__main__":
2023-01-11T21:01:51.9665352Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9665472Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9665678Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9665875Z     philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9666078Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9666211Z     print_performance(lambda: call([primals_1, philox_seed_like, tangents_1]))
2023-01-11T21:01:51.9666474Z [2023-01-11 20:56:40,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 335
2023-01-11T21:01:51.9666480Z 
2023-01-11T21:01:51.9666544Z ok (4.711s)
2023-01-11T21:01:51.9666876Z   test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2023-01-11 20:56:41,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336
2023-01-11T21:01:51.9667160Z [2023-01-11 20:56:41,107] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:51.9667484Z [2023-01-11 20:56:42,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336
2023-01-11T21:01:51.9667738Z [2023-01-11 20:56:42,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 336
2023-01-11T21:01:51.9667995Z [2023-01-11 20:56:44,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 336
2023-01-11T21:01:51.9668001Z 
2023-01-11T21:01:51.9668091Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9668148Z import torch
2023-01-11T21:01:51.9668216Z import random
2023-01-11T21:01:51.9668328Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9668446Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9668451Z 
2023-01-11T21:01:51.9668530Z aten = torch.ops.aten
2023-01-11T21:01:51.9668660Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9668748Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9668896Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:51.9668918Z 
2023-01-11T21:01:51.9668922Z 
2023-01-11T21:01:51.9669042Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9669244Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9669359Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9669460Z                        const long* __restrict__ seed0)
2023-01-11T21:01:51.9669518Z {
2023-01-11T21:01:51.9669593Z     #pragma GCC ivdep
2023-01-11T21:01:51.9669672Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.9669720Z     {
2023-01-11T21:01:51.9669781Z         {
2023-01-11T21:01:51.9669840Z             {
2023-01-11T21:01:51.9669919Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.9670013Z                 auto tmp6 = in_out_ptr0[i0];
2023-01-11T21:01:51.9670108Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.9670243Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.9670332Z                 auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:51.9670417Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.9670519Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.9670602Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.9670702Z                 auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.9670784Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.9670865Z                 in_out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.9670915Z             }
2023-01-11T21:01:51.9670975Z         }
2023-01-11T21:01:51.9671034Z     }
2023-01-11T21:01:51.9671091Z }
2023-01-11T21:01:51.9671165Z ''')
2023-01-11T21:01:51.9671172Z 
2023-01-11T21:01:51.9671177Z 
2023-01-11T21:01:51.9671306Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.9671507Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9671611Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9671711Z                        const long* __restrict__ seed0)
2023-01-11T21:01:51.9671767Z {
2023-01-11T21:01:51.9671841Z     #pragma GCC ivdep
2023-01-11T21:01:51.9671918Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.9671976Z     {
2023-01-11T21:01:51.9672087Z         {
2023-01-11T21:01:51.9672137Z             {
2023-01-11T21:01:51.9672215Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:51.9672302Z                 auto tmp6 = in_out_ptr0[i0];
2023-01-11T21:01:51.9672403Z                 auto tmp1 = static_cast<int>(256 + i0);
2023-01-11T21:01:51.9672534Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.9672664Z                 auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:51.9672748Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.9672838Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.9673019Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.9673125Z                 auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.9673209Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.9673290Z                 in_out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.9673352Z             }
2023-01-11T21:01:51.9673412Z         }
2023-01-11T21:01:51.9673459Z     }
2023-01-11T21:01:51.9673517Z }
2023-01-11T21:01:51.9673595Z ''')
2023-01-11T21:01:51.9673601Z 
2023-01-11T21:01:51.9673605Z 
2023-01-11T21:01:51.9673695Z async_compile.wait(globals())
2023-01-11T21:01:51.9673765Z del async_compile
2023-01-11T21:01:51.9673771Z 
2023-01-11T21:01:51.9673838Z def call(args):
2023-01-11T21:01:51.9673935Z     primals_1, primals_2, primals_3 = args
2023-01-11T21:01:51.9673995Z     args.clear()
2023-01-11T21:01:51.9674124Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:51.9674322Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9674453Z     aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0)
2023-01-11T21:01:51.9674524Z     del primals_1
2023-01-11T21:01:51.9674607Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9674746Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(seed_cpu_None.data_ptr()))
2023-01-11T21:01:51.9674940Z     buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9675050Z     aten.mm.out(buf1, as_strided(primals_2, (32, 32), (1, 32)), out=buf2)
2023-01-11T21:01:51.9675132Z     buf3 = buf2; del buf2  # reuse
2023-01-11T21:01:51.9675271Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(seed_cpu_None.data_ptr()))
2023-01-11T21:01:51.9675423Z     return (buf3, primals_3, seed_cpu_None.clone(), buf1, as_strided(primals_2, (32, 32), (32, 1)), )
2023-01-11T21:01:51.9675432Z 
2023-01-11T21:01:51.9675437Z 
2023-01-11T21:01:51.9675510Z if __name__ == "__main__":
2023-01-11T21:01:51.9675620Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9675741Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9675933Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9676124Z     primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9676320Z     primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9676519Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9676651Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2023-01-11T21:01:51.9676656Z 
2023-01-11T21:01:51.9676661Z 
2023-01-11T21:01:51.9676750Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9676817Z import torch
2023-01-11T21:01:51.9676887Z import random
2023-01-11T21:01:51.9676998Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9677106Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9677111Z 
2023-01-11T21:01:51.9677188Z aten = torch.ops.aten
2023-01-11T21:01:51.9677315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9677404Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9677409Z 
2023-01-11T21:01:51.9677413Z 
2023-01-11T21:01:51.9677544Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9677744Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9677858Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9677962Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9678047Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9678107Z {
2023-01-11T21:01:51.9678181Z     #pragma GCC ivdep
2023-01-11T21:01:51.9678293Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.9678351Z     {
2023-01-11T21:01:51.9678411Z         {
2023-01-11T21:01:51.9678472Z             {
2023-01-11T21:01:51.9678543Z                 auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.9678665Z                 auto tmp6 = in_ptr1[i0];
2023-01-11T21:01:51.9678767Z                 auto tmp1 = static_cast<int>(256 + i0);
2023-01-11T21:01:51.9678901Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.9679001Z                 auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:51.9679088Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.9679190Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.9679263Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.9679363Z                 auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.9679445Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.9679526Z                 out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.9679589Z             }
2023-01-11T21:01:51.9679648Z         }
2023-01-11T21:01:51.9679708Z     }
2023-01-11T21:01:51.9679753Z }
2023-01-11T21:01:51.9679828Z ''')
2023-01-11T21:01:51.9679835Z 
2023-01-11T21:01:51.9679839Z 
2023-01-11T21:01:51.9679971Z kernel_cpp_1 = async_compile.cpp('''
2023-01-11T21:01:51.9680171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9680283Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9680383Z                        const long* __restrict__ in_ptr0)
2023-01-11T21:01:51.9680439Z {
2023-01-11T21:01:51.9680501Z     #pragma GCC ivdep
2023-01-11T21:01:51.9680579Z     for(long i0=0; i0<256; i0+=1)
2023-01-11T21:01:51.9680637Z     {
2023-01-11T21:01:51.9680696Z         {
2023-01-11T21:01:51.9680757Z             {
2023-01-11T21:01:51.9680838Z                 auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.9680929Z                 auto tmp6 = in_out_ptr0[i0];
2023-01-11T21:01:51.9681015Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:51.9681148Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:51.9681251Z                 auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:51.9681338Z                 auto tmp4 = tmp2 > tmp3;
2023-01-11T21:01:51.9681440Z                 auto tmp5 = static_cast<float>(tmp4);
2023-01-11T21:01:51.9681523Z                 auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:51.9681621Z                 auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.9681692Z                 auto tmp9 = tmp7 * tmp8;
2023-01-11T21:01:51.9681775Z                 in_out_ptr0[i0] = tmp9;
2023-01-11T21:01:51.9681835Z             }
2023-01-11T21:01:51.9681895Z         }
2023-01-11T21:01:51.9681956Z     }
2023-01-11T21:01:51.9682011Z }
2023-01-11T21:01:51.9682086Z ''')
2023-01-11T21:01:51.9682091Z 
2023-01-11T21:01:51.9682096Z 
2023-01-11T21:01:51.9682170Z async_compile.wait(globals())
2023-01-11T21:01:51.9682242Z del async_compile
2023-01-11T21:01:51.9682248Z 
2023-01-11T21:01:51.9682314Z def call(args):
2023-01-11T21:01:51.9682440Z     primals_3, philox_seed_like, mul_1, permute_4, tangents_1 = args
2023-01-11T21:01:51.9682508Z     args.clear()
2023-01-11T21:01:51.9682709Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9682892Z     kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9682962Z     del tangents_1
2023-01-11T21:01:51.9683145Z     buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9683259Z     aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul_1, out=buf1)
2023-01-11T21:01:51.9683321Z     del mul_1
2023-01-11T21:01:51.9683723Z     buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9683833Z     aten.mm.out(buf0, permute_4, out=buf2)
2023-01-11T21:01:51.9683959Z     del buf0
2023-01-11T21:01:51.9684030Z     del permute_4
2023-01-11T21:01:51.9684102Z     buf3 = buf2; del buf2  # reuse
2023-01-11T21:01:51.9684247Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(philox_seed_like.data_ptr()))
2023-01-11T21:01:51.9684379Z     del philox_seed_like
2023-01-11T21:01:51.9684580Z     buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9684710Z     aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4)
2023-01-11T21:01:51.9684773Z     del buf3
2023-01-11T21:01:51.9684842Z     del primals_3
2023-01-11T21:01:51.9684959Z     return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, )
2023-01-11T21:01:51.9684982Z 
2023-01-11T21:01:51.9684986Z 
2023-01-11T21:01:51.9685048Z if __name__ == "__main__":
2023-01-11T21:01:51.9685160Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9685281Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9685484Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9685685Z     philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9685876Z     mul_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9686076Z     permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9686274Z     tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9686426Z     print_performance(lambda: call([primals_3, philox_seed_like, mul_1, permute_4, tangents_1]))
2023-01-11T21:01:51.9686432Z 
2023-01-11T21:01:51.9686498Z ok (3.353s)
2023-01-11T21:01:51.9686938Z   test_masked_fill_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9687066Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9687325Z [2023-01-11 20:56:44,259] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337
2023-01-11T21:01:51.9687588Z [2023-01-11 20:56:45,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337
2023-01-11T21:01:51.9687593Z 
2023-01-11T21:01:51.9687685Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9687753Z import torch
2023-01-11T21:01:51.9687821Z import random
2023-01-11T21:01:51.9687921Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9688040Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9688045Z 
2023-01-11T21:01:51.9688122Z aten = torch.ops.aten
2023-01-11T21:01:51.9688253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9688342Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9688350Z 
2023-01-11T21:01:51.9688354Z 
2023-01-11T21:01:51.9688483Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9688682Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9688799Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.9688890Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9688987Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9689080Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9689139Z {
2023-01-11T21:01:51.9689211Z     #pragma GCC ivdep
2023-01-11T21:01:51.9689290Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9689366Z     {
2023-01-11T21:01:51.9689428Z         #pragma GCC ivdep
2023-01-11T21:01:51.9689507Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:51.9689568Z         {
2023-01-11T21:01:51.9689629Z             {
2023-01-11T21:01:51.9689722Z                 {
2023-01-11T21:01:51.9689810Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9689906Z                     auto tmp2 = in_ptr1[i1 + (16*i0)];
2023-01-11T21:01:51.9690058Z                     auto tmp1 = static_cast<float>(-10000.0);
2023-01-11T21:01:51.9690183Z                     auto tmp3 = tmp0 ? tmp1 : tmp2;
2023-01-11T21:01:51.9690287Z                     auto tmp4 = static_cast<float>(2);
2023-01-11T21:01:51.9690375Z                     auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.9690460Z                     auto tmp6 = tmp0 == 0;
2023-01-11T21:01:51.9690563Z                     auto tmp7 = static_cast<float>(667.0);
2023-01-11T21:01:51.9690667Z                     auto tmp8 = static_cast<float>(2.0);
2023-01-11T21:01:51.9690744Z                     auto tmp9 = tmp2 / tmp8;
2023-01-11T21:01:51.9690838Z                     auto tmp10 = tmp6 ? tmp7 : tmp9;
2023-01-11T21:01:51.9690929Z                     out_ptr0[i1 + (16*i0)] = tmp5;
2023-01-11T21:01:51.9691018Z                     out_ptr1[i1 + (16*i0)] = tmp10;
2023-01-11T21:01:51.9691081Z                 }
2023-01-11T21:01:51.9691142Z             }
2023-01-11T21:01:51.9691203Z         }
2023-01-11T21:01:51.9691249Z     }
2023-01-11T21:01:51.9691306Z }
2023-01-11T21:01:51.9691381Z ''')
2023-01-11T21:01:51.9691388Z 
2023-01-11T21:01:51.9691392Z 
2023-01-11T21:01:51.9691479Z async_compile.wait(globals())
2023-01-11T21:01:51.9691551Z del async_compile
2023-01-11T21:01:51.9691555Z 
2023-01-11T21:01:51.9691621Z def call(args):
2023-01-11T21:01:51.9691692Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9691749Z     args.clear()
2023-01-11T21:01:51.9691944Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9692138Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9692325Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9692391Z     del arg0_1
2023-01-11T21:01:51.9692456Z     del arg1_1
2023-01-11T21:01:51.9692529Z     return (buf0, buf1, )
2023-01-11T21:01:51.9692535Z 
2023-01-11T21:01:51.9692539Z 
2023-01-11T21:01:51.9692610Z if __name__ == "__main__":
2023-01-11T21:01:51.9692712Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9692832Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9693021Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9693217Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9693329Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9693334Z 
2023-01-11T21:01:51.9693398Z ok (1.591s)
2023-01-11T21:01:51.9693739Z   test_masked_fill_promotion_cpu (__main__.CpuTests) ... [2023-01-11 20:56:45,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338
2023-01-11T21:01:51.9694001Z [2023-01-11 20:56:47,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338
2023-01-11T21:01:51.9694242Z [2023-01-11 20:56:47,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339
2023-01-11T21:01:51.9694504Z [2023-01-11 20:56:48,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339
2023-01-11T21:01:51.9694509Z 
2023-01-11T21:01:51.9694601Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9694669Z import torch
2023-01-11T21:01:51.9694736Z import random
2023-01-11T21:01:51.9694847Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9694965Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9694970Z 
2023-01-11T21:01:51.9695047Z aten = torch.ops.aten
2023-01-11T21:01:51.9695167Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9695255Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9695260Z 
2023-01-11T21:01:51.9695265Z 
2023-01-11T21:01:51.9695430Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9695636Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9695751Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.9695882Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9695981Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9696040Z {
2023-01-11T21:01:51.9696103Z     #pragma GCC ivdep
2023-01-11T21:01:51.9696182Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9696239Z     {
2023-01-11T21:01:51.9696318Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:51.9696378Z         {
2023-01-11T21:01:51.9696477Z             float g_tmp_buffer_in_ptr0[8] = {0};
2023-01-11T21:01:51.9696595Z             flag_to_float(in_ptr0 + 8*i1, g_tmp_buffer_in_ptr0, 8);
2023-01-11T21:01:51.9696728Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2023-01-11T21:01:51.9696865Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (16*i0));
2023-01-11T21:01:51.9696999Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3.5));
2023-01-11T21:01:51.9697121Z             auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2023-01-11T21:01:51.9697220Z             tmp3.store(out_ptr0 + (8*i1) + (16*i0));
2023-01-11T21:01:51.9697279Z         }
2023-01-11T21:01:51.9697366Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9697446Z         for(long i1=16; i1<16; i1+=1)
2023-01-11T21:01:51.9697495Z         {
2023-01-11T21:01:51.9697575Z             auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9697667Z             auto tmp2 = in_ptr1[i1 + (16*i0)];
2023-01-11T21:01:51.9697766Z             auto tmp1 = static_cast<float>(3.5);
2023-01-11T21:01:51.9697857Z             auto tmp3 = tmp0 ? tmp1 : tmp2;
2023-01-11T21:01:51.9697943Z             out_ptr0[i1 + (16*i0)] = tmp3;
2023-01-11T21:01:51.9698004Z         }
2023-01-11T21:01:51.9698051Z     }
2023-01-11T21:01:51.9698114Z }
2023-01-11T21:01:51.9698190Z ''')
2023-01-11T21:01:51.9698195Z 
2023-01-11T21:01:51.9698200Z 
2023-01-11T21:01:51.9698301Z async_compile.wait(globals())
2023-01-11T21:01:51.9698371Z del async_compile
2023-01-11T21:01:51.9698376Z 
2023-01-11T21:01:51.9698444Z def call(args):
2023-01-11T21:01:51.9698516Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9698573Z     args.clear()
2023-01-11T21:01:51.9698769Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9698928Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9698994Z     del arg0_1
2023-01-11T21:01:51.9699058Z     del arg1_1
2023-01-11T21:01:51.9699126Z     return (buf0, )
2023-01-11T21:01:51.9699131Z 
2023-01-11T21:01:51.9699135Z 
2023-01-11T21:01:51.9699208Z if __name__ == "__main__":
2023-01-11T21:01:51.9699318Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9699428Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9699620Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9699815Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9699928Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9699934Z 
2023-01-11T21:01:51.9699938Z 
2023-01-11T21:01:51.9700029Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9700094Z import torch
2023-01-11T21:01:51.9700162Z import random
2023-01-11T21:01:51.9700261Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9700378Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9700383Z 
2023-01-11T21:01:51.9700456Z aten = torch.ops.aten
2023-01-11T21:01:51.9700585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9700673Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9700678Z 
2023-01-11T21:01:51.9700682Z 
2023-01-11T21:01:51.9700810Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9701052Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9701166Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2023-01-11T21:01:51.9701293Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:51.9701378Z                        long* __restrict__ out_ptr0)
2023-01-11T21:01:51.9701436Z {
2023-01-11T21:01:51.9701509Z     #pragma GCC ivdep
2023-01-11T21:01:51.9701585Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9701643Z     {
2023-01-11T21:01:51.9701718Z         #pragma GCC ivdep
2023-01-11T21:01:51.9701786Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:51.9701847Z         {
2023-01-11T21:01:51.9701908Z             {
2023-01-11T21:01:51.9701969Z                 {
2023-01-11T21:01:51.9702059Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:51.9702157Z                     auto tmp3 = in_ptr1[i1 + (16*i0)];
2023-01-11T21:01:51.9702261Z                     auto tmp1 = static_cast<float>(3.5);
2023-01-11T21:01:51.9702351Z                     auto tmp2 = static_cast<long>(tmp1);
2023-01-11T21:01:51.9702447Z                     auto tmp4 = tmp0 ? tmp2 : tmp3;
2023-01-11T21:01:51.9702537Z                     out_ptr0[i1 + (16*i0)] = tmp4;
2023-01-11T21:01:51.9702598Z                 }
2023-01-11T21:01:51.9702659Z             }
2023-01-11T21:01:51.9702718Z         }
2023-01-11T21:01:51.9702777Z     }
2023-01-11T21:01:51.9702823Z }
2023-01-11T21:01:51.9702898Z ''')
2023-01-11T21:01:51.9702904Z 
2023-01-11T21:01:51.9702909Z 
2023-01-11T21:01:51.9702992Z async_compile.wait(globals())
2023-01-11T21:01:51.9703061Z del async_compile
2023-01-11T21:01:51.9703066Z 
2023-01-11T21:01:51.9703132Z def call(args):
2023-01-11T21:01:51.9703203Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9703270Z     args.clear()
2023-01-11T21:01:51.9703452Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9703611Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9703679Z     del arg0_1
2023-01-11T21:01:51.9703743Z     del arg1_1
2023-01-11T21:01:51.9703811Z     return (buf0, )
2023-01-11T21:01:51.9703817Z 
2023-01-11T21:01:51.9703823Z 
2023-01-11T21:01:51.9703896Z if __name__ == "__main__":
2023-01-11T21:01:51.9704006Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9704127Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9704306Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:51.9704497Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9704607Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9704612Z 
2023-01-11T21:01:51.9704675Z ok (3.091s)
2023-01-11T21:01:51.9705109Z   test_max_min_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9705236Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9705495Z [2023-01-11 20:56:48,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340
2023-01-11T21:01:51.9705756Z [2023-01-11 20:56:50,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340
2023-01-11T21:01:51.9706155Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9706283Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9706571Z [2023-01-11 20:56:50,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341
2023-01-11T21:01:51.9706859Z [2023-01-11 20:56:50,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341
2023-01-11T21:01:51.9706866Z 
2023-01-11T21:01:51.9706960Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9707029Z import torch
2023-01-11T21:01:51.9707097Z import random
2023-01-11T21:01:51.9707210Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9707327Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9707332Z 
2023-01-11T21:01:51.9707412Z aten = torch.ops.aten
2023-01-11T21:01:51.9707544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9707633Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9707638Z 
2023-01-11T21:01:51.9707643Z 
2023-01-11T21:01:51.9707773Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9707964Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9708082Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9708189Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9708288Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9708383Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9708442Z {
2023-01-11T21:01:51.9708519Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.9708566Z     {
2023-01-11T21:01:51.9708697Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9708823Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9708927Z         auto tmp2 = at::vec::maximum(tmp0, tmp1);
2023-01-11T21:01:51.9709031Z         auto tmp3 = at::vec::minimum(tmp0, tmp1);
2023-01-11T21:01:51.9709119Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9709205Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9709266Z     }
2023-01-11T21:01:51.9709340Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9709417Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.9709475Z     {
2023-01-11T21:01:51.9709558Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9709636Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9709753Z         auto tmp2 = (tmp1 != tmp1) ? tmp1 : std::max(tmp0, tmp1);
2023-01-11T21:01:51.9709867Z         auto tmp3 = (tmp1 != tmp1) ? tmp1 : std::min(tmp0, tmp1);
2023-01-11T21:01:51.9709930Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9710004Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9710063Z     }
2023-01-11T21:01:51.9710120Z }
2023-01-11T21:01:51.9710196Z ''')
2023-01-11T21:01:51.9710202Z 
2023-01-11T21:01:51.9710206Z 
2023-01-11T21:01:51.9710294Z async_compile.wait(globals())
2023-01-11T21:01:51.9710366Z del async_compile
2023-01-11T21:01:51.9710371Z 
2023-01-11T21:01:51.9710441Z def call(args):
2023-01-11T21:01:51.9710504Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9710572Z     args.clear()
2023-01-11T21:01:51.9710763Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9710953Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9711141Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9711207Z     del arg0_1
2023-01-11T21:01:51.9711271Z     del arg1_1
2023-01-11T21:01:51.9711333Z     return (buf0, buf1, )
2023-01-11T21:01:51.9711338Z 
2023-01-11T21:01:51.9711343Z 
2023-01-11T21:01:51.9711416Z if __name__ == "__main__":
2023-01-11T21:01:51.9711527Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9711648Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9711838Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9712065Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9712178Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9712183Z 
2023-01-11T21:01:51.9712188Z 
2023-01-11T21:01:51.9712307Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9712365Z import torch
2023-01-11T21:01:51.9712434Z import random
2023-01-11T21:01:51.9712546Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9712665Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9712670Z 
2023-01-11T21:01:51.9712745Z aten = torch.ops.aten
2023-01-11T21:01:51.9712949Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9713044Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9713050Z 
2023-01-11T21:01:51.9713054Z 
2023-01-11T21:01:51.9713187Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9713378Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9713497Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9713600Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9713697Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9713795Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9713856Z {
2023-01-11T21:01:51.9713935Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.9713982Z     {
2023-01-11T21:01:51.9714114Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9714239Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9714344Z         auto tmp2 = at::vec::maximum(tmp0, tmp1);
2023-01-11T21:01:51.9714447Z         auto tmp3 = at::vec::minimum(tmp0, tmp1);
2023-01-11T21:01:51.9714533Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9714618Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9714677Z     }
2023-01-11T21:01:51.9714752Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9714829Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.9714889Z     {
2023-01-11T21:01:51.9714969Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9715048Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9715167Z         auto tmp2 = (tmp1 != tmp1) ? tmp1 : std::max(tmp0, tmp1);
2023-01-11T21:01:51.9715283Z         auto tmp3 = (tmp1 != tmp1) ? tmp1 : std::min(tmp0, tmp1);
2023-01-11T21:01:51.9715347Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9715422Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:51.9715481Z     }
2023-01-11T21:01:51.9715540Z }
2023-01-11T21:01:51.9715617Z ''')
2023-01-11T21:01:51.9715622Z 
2023-01-11T21:01:51.9715626Z 
2023-01-11T21:01:51.9715715Z async_compile.wait(globals())
2023-01-11T21:01:51.9715785Z del async_compile
2023-01-11T21:01:51.9715791Z 
2023-01-11T21:01:51.9715847Z def call(args):
2023-01-11T21:01:51.9715921Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9715989Z     args.clear()
2023-01-11T21:01:51.9716178Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9716364Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9716555Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9716621Z     del arg0_1
2023-01-11T21:01:51.9716674Z     del arg1_1
2023-01-11T21:01:51.9716749Z     return (buf0, buf1, )
2023-01-11T21:01:51.9716755Z 
2023-01-11T21:01:51.9716758Z 
2023-01-11T21:01:51.9716832Z if __name__ == "__main__":
2023-01-11T21:01:51.9716944Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9717065Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9717256Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9717443Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9717557Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9717602Z 
2023-01-11T21:01:51.9717667Z ok (1.562s)
2023-01-11T21:01:51.9718124Z   test_max_pool2d1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9718253Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9718510Z [2023-01-11 20:56:50,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342
2023-01-11T21:01:51.9718773Z [2023-01-11 20:56:52,097] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342
2023-01-11T21:01:51.9718779Z 
2023-01-11T21:01:51.9718869Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9718939Z import torch
2023-01-11T21:01:51.9719008Z import random
2023-01-11T21:01:51.9719120Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9719228Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9719246Z 
2023-01-11T21:01:51.9719311Z aten = torch.ops.aten
2023-01-11T21:01:51.9719443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9719531Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9719536Z 
2023-01-11T21:01:51.9719541Z 
2023-01-11T21:01:51.9719671Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9719876Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9719994Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9720092Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9720187Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.9720233Z {
2023-01-11T21:01:51.9720308Z     #pragma GCC ivdep
2023-01-11T21:01:51.9720388Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9720447Z     {
2023-01-11T21:01:51.9720523Z         #pragma GCC ivdep
2023-01-11T21:01:51.9720605Z         for(long i1=0; i1<7; i1+=1)
2023-01-11T21:01:51.9720654Z         {
2023-01-11T21:01:51.9720734Z             #pragma GCC ivdep
2023-01-11T21:01:51.9720815Z             for(long i2=0; i2<7; i2+=1)
2023-01-11T21:01:51.9720877Z             {
2023-01-11T21:01:51.9720940Z                 {
2023-01-11T21:01:51.9721005Z                     {
2023-01-11T21:01:51.9721115Z                         auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721213Z                         auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721323Z                         auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721433Z                         auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721541Z                         auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721652Z                         auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721764Z                         auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721875Z                         auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9721984Z                         auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2023-01-11T21:01:51.9722098Z                         auto tmp2 = (tmp0 != tmp0) ? tmp0 : std::max(tmp1, tmp0);
2023-01-11T21:01:51.9722221Z                         auto tmp4 = (tmp2 != tmp2) ? tmp2 : std::max(tmp3, tmp2);
2023-01-11T21:01:51.9722344Z                         auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp5, tmp4);
2023-01-11T21:01:51.9722466Z                         auto tmp8 = (tmp6 != tmp6) ? tmp6 : std::max(tmp7, tmp6);
2023-01-11T21:01:51.9722593Z                         auto tmp10 = (tmp8 != tmp8) ? tmp8 : std::max(tmp9, tmp8);
2023-01-11T21:01:51.9722760Z                         auto tmp12 = (tmp10 != tmp10) ? tmp10 : std::max(tmp11, tmp10);
2023-01-11T21:01:51.9722888Z                         auto tmp14 = (tmp12 != tmp12) ? tmp12 : std::max(tmp13, tmp12);
2023-01-11T21:01:51.9723054Z                         auto tmp16 = (tmp14 != tmp14) ? tmp14 : std::max(tmp15, tmp14);
2023-01-11T21:01:51.9723170Z                         auto tmp17 = static_cast<long>((2*i2) + (32*i1));
2023-01-11T21:01:51.9723286Z                         auto tmp18 = static_cast<long>(1 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9723523Z                         auto tmp19 = tmp1 > tmp0;
2023-01-11T21:01:51.9723677Z                         auto tmp20 = tmp19 ? tmp18 : tmp17;
2023-01-11T21:01:51.9723802Z                         auto tmp21 = static_cast<long>(2 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9723895Z                         auto tmp22 = tmp3 > tmp2;
2023-01-11T21:01:51.9723998Z                         auto tmp23 = tmp22 ? tmp21 : tmp20;
2023-01-11T21:01:51.9724117Z                         auto tmp24 = static_cast<long>(16 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9724208Z                         auto tmp25 = tmp5 > tmp4;
2023-01-11T21:01:51.9724297Z                         auto tmp26 = tmp25 ? tmp24 : tmp23;
2023-01-11T21:01:51.9724414Z                         auto tmp27 = static_cast<long>(17 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9724504Z                         auto tmp28 = tmp7 > tmp6;
2023-01-11T21:01:51.9724602Z                         auto tmp29 = tmp28 ? tmp27 : tmp26;
2023-01-11T21:01:51.9724714Z                         auto tmp30 = static_cast<long>(18 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9724805Z                         auto tmp31 = tmp9 > tmp8;
2023-01-11T21:01:51.9724903Z                         auto tmp32 = tmp31 ? tmp30 : tmp29;
2023-01-11T21:01:51.9725019Z                         auto tmp33 = static_cast<long>(32 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9725099Z                         auto tmp34 = tmp11 > tmp10;
2023-01-11T21:01:51.9725201Z                         auto tmp35 = tmp34 ? tmp33 : tmp32;
2023-01-11T21:01:51.9725315Z                         auto tmp36 = static_cast<long>(33 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9725407Z                         auto tmp37 = tmp13 > tmp12;
2023-01-11T21:01:51.9725513Z                         auto tmp38 = tmp37 ? tmp36 : tmp35;
2023-01-11T21:01:51.9725628Z                         auto tmp39 = static_cast<long>(34 + (2*i2) + (32*i1));
2023-01-11T21:01:51.9725721Z                         auto tmp40 = tmp15 > tmp14;
2023-01-11T21:01:51.9725809Z                         auto tmp41 = tmp40 ? tmp39 : tmp38;
2023-01-11T21:01:51.9725909Z                         out_ptr0[i2 + (7*i1) + (49*i0)] = tmp16;
2023-01-11T21:01:51.9726008Z                         out_ptr1[i2 + (7*i1) + (49*i0)] = tmp41;
2023-01-11T21:01:51.9726074Z                     }
2023-01-11T21:01:51.9726140Z                 }
2023-01-11T21:01:51.9726202Z             }
2023-01-11T21:01:51.9726264Z         }
2023-01-11T21:01:51.9726311Z     }
2023-01-11T21:01:51.9726373Z }
2023-01-11T21:01:51.9726457Z ''')
2023-01-11T21:01:51.9726462Z 
2023-01-11T21:01:51.9726467Z 
2023-01-11T21:01:51.9726553Z async_compile.wait(globals())
2023-01-11T21:01:51.9726624Z del async_compile
2023-01-11T21:01:51.9726629Z 
2023-01-11T21:01:51.9726698Z def call(args):
2023-01-11T21:01:51.9726766Z     arg0_1, = args
2023-01-11T21:01:51.9726836Z     args.clear()
2023-01-11T21:01:51.9727038Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9727246Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9727410Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9727476Z     del arg0_1
2023-01-11T21:01:51.9727551Z     return (buf0, buf1, )
2023-01-11T21:01:51.9727557Z 
2023-01-11T21:01:51.9727561Z 
2023-01-11T21:01:51.9727634Z if __name__ == "__main__":
2023-01-11T21:01:51.9727748Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9727935Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9728142Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9728283Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9728289Z 
2023-01-11T21:01:51.9728356Z ok (1.640s)
2023-01-11T21:01:51.9728794Z   test_max_pool2d2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9728921Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9729183Z [2023-01-11 20:56:52,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343
2023-01-11T21:01:51.9729449Z [2023-01-11 20:56:53,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343
2023-01-11T21:01:51.9729454Z 
2023-01-11T21:01:51.9729546Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9729616Z import torch
2023-01-11T21:01:51.9729671Z import random
2023-01-11T21:01:51.9729784Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9729904Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9729910Z 
2023-01-11T21:01:51.9729986Z aten = torch.ops.aten
2023-01-11T21:01:51.9730117Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9730205Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9730209Z 
2023-01-11T21:01:51.9730214Z 
2023-01-11T21:01:51.9730344Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9730546Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9730652Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9730753Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9730846Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.9730905Z {
2023-01-11T21:01:51.9730982Z     #pragma GCC ivdep
2023-01-11T21:01:51.9731063Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9731122Z     {
2023-01-11T21:01:51.9731185Z         #pragma GCC ivdep
2023-01-11T21:01:51.9731264Z         for(long i1=0; i1<27; i1+=1)
2023-01-11T21:01:51.9731326Z         {
2023-01-11T21:01:51.9731402Z             #pragma GCC ivdep
2023-01-11T21:01:51.9731486Z             for(long i2=0; i2<27; i2+=1)
2023-01-11T21:01:51.9731548Z             {
2023-01-11T21:01:51.9731599Z                 {
2023-01-11T21:01:51.9731663Z                     {
2023-01-11T21:01:51.9731773Z                         auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9731886Z                         auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9731995Z                         auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732105Z                         auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732217Z                         auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732325Z                         auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732427Z                         auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732536Z                         auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732641Z                         auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2023-01-11T21:01:51.9732769Z                         auto tmp2 = (tmp0 != tmp0) ? tmp0 : std::max(tmp1, tmp0);
2023-01-11T21:01:51.9732890Z                         auto tmp4 = (tmp2 != tmp2) ? tmp2 : std::max(tmp3, tmp2);
2023-01-11T21:01:51.9733043Z                         auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp5, tmp4);
2023-01-11T21:01:51.9733165Z                         auto tmp8 = (tmp6 != tmp6) ? tmp6 : std::max(tmp7, tmp6);
2023-01-11T21:01:51.9733314Z                         auto tmp10 = (tmp8 != tmp8) ? tmp8 : std::max(tmp9, tmp8);
2023-01-11T21:01:51.9733447Z                         auto tmp12 = (tmp10 != tmp10) ? tmp10 : std::max(tmp11, tmp10);
2023-01-11T21:01:51.9733562Z                         auto tmp14 = (tmp12 != tmp12) ? tmp12 : std::max(tmp13, tmp12);
2023-01-11T21:01:51.9733689Z                         auto tmp16 = (tmp14 != tmp14) ? tmp14 : std::max(tmp15, tmp14);
2023-01-11T21:01:51.9733804Z                         auto tmp17 = static_cast<long>((2*i2) + (110*i1));
2023-01-11T21:01:51.9733918Z                         auto tmp18 = static_cast<long>(1 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9734010Z                         auto tmp19 = tmp1 > tmp0;
2023-01-11T21:01:51.9734113Z                         auto tmp20 = tmp19 ? tmp18 : tmp17;
2023-01-11T21:01:51.9734230Z                         auto tmp21 = static_cast<long>(2 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9734325Z                         auto tmp22 = tmp3 > tmp2;
2023-01-11T21:01:51.9734416Z                         auto tmp23 = tmp22 ? tmp21 : tmp20;
2023-01-11T21:01:51.9734531Z                         auto tmp24 = static_cast<long>(55 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9734619Z                         auto tmp25 = tmp5 > tmp4;
2023-01-11T21:01:51.9734718Z                         auto tmp26 = tmp25 ? tmp24 : tmp23;
2023-01-11T21:01:51.9734830Z                         auto tmp27 = static_cast<long>(56 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9734918Z                         auto tmp28 = tmp7 > tmp6;
2023-01-11T21:01:51.9735016Z                         auto tmp29 = tmp28 ? tmp27 : tmp26;
2023-01-11T21:01:51.9735127Z                         auto tmp30 = static_cast<long>(57 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9735203Z                         auto tmp31 = tmp9 > tmp8;
2023-01-11T21:01:51.9735302Z                         auto tmp32 = tmp31 ? tmp30 : tmp29;
2023-01-11T21:01:51.9735419Z                         auto tmp33 = static_cast<long>(110 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9735514Z                         auto tmp34 = tmp11 > tmp10;
2023-01-11T21:01:51.9735614Z                         auto tmp35 = tmp34 ? tmp33 : tmp32;
2023-01-11T21:01:51.9735731Z                         auto tmp36 = static_cast<long>(111 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9735824Z                         auto tmp37 = tmp13 > tmp12;
2023-01-11T21:01:51.9735923Z                         auto tmp38 = tmp37 ? tmp36 : tmp35;
2023-01-11T21:01:51.9736027Z                         auto tmp39 = static_cast<long>(112 + (2*i2) + (110*i1));
2023-01-11T21:01:51.9736119Z                         auto tmp40 = tmp15 > tmp14;
2023-01-11T21:01:51.9736217Z                         auto tmp41 = tmp40 ? tmp39 : tmp38;
2023-01-11T21:01:51.9736317Z                         out_ptr0[i2 + (27*i1) + (729*i0)] = tmp16;
2023-01-11T21:01:51.9736416Z                         out_ptr1[i2 + (27*i1) + (729*i0)] = tmp41;
2023-01-11T21:01:51.9736481Z                     }
2023-01-11T21:01:51.9736544Z                 }
2023-01-11T21:01:51.9736595Z             }
2023-01-11T21:01:51.9736659Z         }
2023-01-11T21:01:51.9736719Z     }
2023-01-11T21:01:51.9736777Z }
2023-01-11T21:01:51.9736855Z ''')
2023-01-11T21:01:51.9736860Z 
2023-01-11T21:01:51.9736865Z 
2023-01-11T21:01:51.9736953Z async_compile.wait(globals())
2023-01-11T21:01:51.9737022Z del async_compile
2023-01-11T21:01:51.9737027Z 
2023-01-11T21:01:51.9737083Z def call(args):
2023-01-11T21:01:51.9737150Z     arg0_1, = args
2023-01-11T21:01:51.9737218Z     args.clear()
2023-01-11T21:01:51.9737439Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9737657Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9737820Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9737918Z     del arg0_1
2023-01-11T21:01:51.9737994Z     return (buf0, buf1, )
2023-01-11T21:01:51.9737999Z 
2023-01-11T21:01:51.9738003Z 
2023-01-11T21:01:51.9738096Z if __name__ == "__main__":
2023-01-11T21:01:51.9738210Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9738332Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9738558Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9738665Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9738670Z 
2023-01-11T21:01:51.9738734Z ok (1.869s)
2023-01-11T21:01:51.9739173Z   test_max_pool2d3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9739301Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9739560Z [2023-01-11 20:56:54,005] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344
2023-01-11T21:01:51.9739566Z 
2023-01-11T21:01:51.9739646Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9739715Z import torch
2023-01-11T21:01:51.9739784Z import random
2023-01-11T21:01:51.9739896Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9740014Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9740019Z 
2023-01-11T21:01:51.9740095Z aten = torch.ops.aten
2023-01-11T21:01:51.9740225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9740315Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9740321Z 
2023-01-11T21:01:51.9740325Z 
2023-01-11T21:01:51.9740445Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9740650Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9740768Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9740867Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9740960Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.9741019Z {
2023-01-11T21:01:51.9741093Z     #pragma GCC ivdep
2023-01-11T21:01:51.9741160Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9741219Z     {
2023-01-11T21:01:51.9741294Z         #pragma GCC ivdep
2023-01-11T21:01:51.9741374Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:51.9741435Z         {
2023-01-11T21:01:51.9741496Z             {
2023-01-11T21:01:51.9741558Z                 {
2023-01-11T21:01:51.9741711Z                     auto tmp0 = static_cast<long>((-1) + (2*i0));
2023-01-11T21:01:51.9741811Z                     auto tmp1 = static_cast<long>(0);
2023-01-11T21:01:51.9741906Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:51.9742005Z                     auto tmp3 = static_cast<long>(8);
2023-01-11T21:01:51.9742093Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:51.9742185Z                     auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:51.9742350Z                     auto tmp6 = static_cast<long>((-1) + (2*i1));
2023-01-11T21:01:51.9742428Z                     auto tmp7 = tmp6 >= tmp1;
2023-01-11T21:01:51.9742514Z                     auto tmp8 = tmp6 < tmp3;
2023-01-11T21:01:51.9742600Z                     auto tmp9 = tmp7 & tmp8;
2023-01-11T21:01:51.9742689Z                     auto tmp10 = tmp5 & tmp9;
2023-01-11T21:01:51.9742920Z                     float tmp11 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9742994Z                     if(tmp10)
2023-01-11T21:01:51.9743059Z                     {
2023-01-11T21:01:51.9743216Z                         auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9743327Z                         tmp11 = tmp12;
2023-01-11T21:01:51.9743391Z                     }
2023-01-11T21:01:51.9743496Z                     auto tmp13 = static_cast<long>(2*i1);
2023-01-11T21:01:51.9743588Z                     auto tmp14 = tmp13 >= tmp1;
2023-01-11T21:01:51.9743706Z                     auto tmp15 = tmp13 < tmp3;
2023-01-11T21:01:51.9743797Z                     auto tmp16 = tmp14 & tmp15;
2023-01-11T21:01:51.9743886Z                     auto tmp17 = tmp5 & tmp16;
2023-01-11T21:01:51.9744088Z                     float tmp18 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9744161Z                     if(tmp17)
2023-01-11T21:01:51.9744225Z                     {
2023-01-11T21:01:51.9744392Z                         auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9744469Z                         tmp18 = tmp19;
2023-01-11T21:01:51.9744534Z                     }
2023-01-11T21:01:51.9744660Z                     auto tmp20 = (tmp11 != tmp11) ? tmp11 : std::max(tmp18, tmp11);
2023-01-11T21:01:51.9744757Z                     auto tmp21 = static_cast<long>(1 + (2*i1));
2023-01-11T21:01:51.9744847Z                     auto tmp22 = tmp21 >= tmp1;
2023-01-11T21:01:51.9744935Z                     auto tmp23 = tmp21 < tmp3;
2023-01-11T21:01:51.9745026Z                     auto tmp24 = tmp22 & tmp23;
2023-01-11T21:01:51.9745116Z                     auto tmp25 = tmp5 & tmp24;
2023-01-11T21:01:51.9745325Z                     float tmp26 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9745397Z                     if(tmp25)
2023-01-11T21:01:51.9745450Z                     {
2023-01-11T21:01:51.9745617Z                         auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9745694Z                         tmp26 = tmp27;
2023-01-11T21:01:51.9745759Z                     }
2023-01-11T21:01:51.9745887Z                     auto tmp28 = (tmp20 != tmp20) ? tmp20 : std::max(tmp26, tmp20);
2023-01-11T21:01:51.9745991Z                     auto tmp29 = static_cast<long>(2*i0);
2023-01-11T21:01:51.9746084Z                     auto tmp30 = tmp29 >= tmp1;
2023-01-11T21:01:51.9746175Z                     auto tmp31 = tmp29 < tmp3;
2023-01-11T21:01:51.9746253Z                     auto tmp32 = tmp30 & tmp31;
2023-01-11T21:01:51.9746344Z                     auto tmp33 = tmp32 & tmp9;
2023-01-11T21:01:51.9746551Z                     float tmp34 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9746624Z                     if(tmp33)
2023-01-11T21:01:51.9746689Z                     {
2023-01-11T21:01:51.9746855Z                         auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9746933Z                         tmp34 = tmp35;
2023-01-11T21:01:51.9746985Z                     }
2023-01-11T21:01:51.9747110Z                     auto tmp36 = (tmp28 != tmp28) ? tmp28 : std::max(tmp34, tmp28);
2023-01-11T21:01:51.9747199Z                     auto tmp37 = tmp32 & tmp16;
2023-01-11T21:01:51.9747408Z                     float tmp38 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9747486Z                     if(tmp37)
2023-01-11T21:01:51.9747552Z                     {
2023-01-11T21:01:51.9747654Z                         auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2023-01-11T21:01:51.9747733Z                         tmp38 = tmp39;
2023-01-11T21:01:51.9747786Z                     }
2023-01-11T21:01:51.9747911Z                     auto tmp40 = (tmp36 != tmp36) ? tmp36 : std::max(tmp38, tmp36);
2023-01-11T21:01:51.9748001Z                     auto tmp41 = tmp32 & tmp24;
2023-01-11T21:01:51.9748210Z                     float tmp42 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9748283Z                     if(tmp41)
2023-01-11T21:01:51.9748345Z                     {
2023-01-11T21:01:51.9748449Z                         auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9748513Z                         tmp42 = tmp43;
2023-01-11T21:01:51.9748578Z                     }
2023-01-11T21:01:51.9748701Z                     auto tmp44 = (tmp40 != tmp40) ? tmp40 : std::max(tmp42, tmp40);
2023-01-11T21:01:51.9748843Z                     auto tmp45 = static_cast<long>(1 + (2*i0));
2023-01-11T21:01:51.9748933Z                     auto tmp46 = tmp45 >= tmp1;
2023-01-11T21:01:51.9749049Z                     auto tmp47 = tmp45 < tmp3;
2023-01-11T21:01:51.9749140Z                     auto tmp48 = tmp46 & tmp47;
2023-01-11T21:01:51.9749230Z                     auto tmp49 = tmp48 & tmp9;
2023-01-11T21:01:51.9749426Z                     float tmp50 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9749498Z                     if(tmp49)
2023-01-11T21:01:51.9749563Z                     {
2023-01-11T21:01:51.9749666Z                         auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9749743Z                         tmp50 = tmp51;
2023-01-11T21:01:51.9749806Z                     }
2023-01-11T21:01:51.9749929Z                     auto tmp52 = (tmp44 != tmp44) ? tmp44 : std::max(tmp50, tmp44);
2023-01-11T21:01:51.9750010Z                     auto tmp53 = tmp48 & tmp16;
2023-01-11T21:01:51.9750215Z                     float tmp54 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9750288Z                     if(tmp53)
2023-01-11T21:01:51.9750352Z                     {
2023-01-11T21:01:51.9750457Z                         auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9750533Z                         tmp54 = tmp55;
2023-01-11T21:01:51.9750598Z                     }
2023-01-11T21:01:51.9750720Z                     auto tmp56 = (tmp52 != tmp52) ? tmp52 : std::max(tmp54, tmp52);
2023-01-11T21:01:51.9750797Z                     auto tmp57 = tmp48 & tmp24;
2023-01-11T21:01:51.9751003Z                     float tmp58 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9751074Z                     if(tmp57)
2023-01-11T21:01:51.9751137Z                     {
2023-01-11T21:01:51.9751239Z                         auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9751317Z                         tmp58 = tmp59;
2023-01-11T21:01:51.9751383Z                     }
2023-01-11T21:01:51.9751492Z                     auto tmp60 = (tmp56 != tmp56) ? tmp56 : std::max(tmp58, tmp56);
2023-01-11T21:01:51.9751703Z                     float tmp61 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9751774Z                     if(tmp10)
2023-01-11T21:01:51.9751837Z                     {
2023-01-11T21:01:51.9752005Z                         auto tmp62 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9752081Z                         tmp61 = tmp62;
2023-01-11T21:01:51.9752148Z                     }
2023-01-11T21:01:51.9752316Z                     auto tmp63 = static_cast<long>((-9) + (2*i1) + (16*i0));
2023-01-11T21:01:51.9752522Z                     float tmp64 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9752593Z                     if(tmp17)
2023-01-11T21:01:51.9752657Z                     {
2023-01-11T21:01:51.9752822Z                         auto tmp65 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9752976Z                         tmp64 = tmp65;
2023-01-11T21:01:51.9753045Z                     }
2023-01-11T21:01:51.9753224Z                     auto tmp66 = static_cast<long>((-8) + (2*i1) + (16*i0));
2023-01-11T21:01:51.9753304Z                     auto tmp67 = tmp64 > tmp61;
2023-01-11T21:01:51.9753404Z                     auto tmp68 = tmp67 ? tmp66 : tmp63;
2023-01-11T21:01:51.9753529Z                     auto tmp69 = (tmp61 != tmp61) ? tmp61 : std::max(tmp64, tmp61);
2023-01-11T21:01:51.9753733Z                     float tmp70 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9753805Z                     if(tmp25)
2023-01-11T21:01:51.9753870Z                     {
2023-01-11T21:01:51.9754035Z                         auto tmp71 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9754099Z                         tmp70 = tmp71;
2023-01-11T21:01:51.9754165Z                     }
2023-01-11T21:01:51.9754343Z                     auto tmp72 = static_cast<long>((-7) + (2*i1) + (16*i0));
2023-01-11T21:01:51.9754512Z                     auto tmp73 = tmp70 > tmp69;
2023-01-11T21:01:51.9754610Z                     auto tmp74 = tmp73 ? tmp72 : tmp68;
2023-01-11T21:01:51.9754762Z                     auto tmp75 = (tmp69 != tmp69) ? tmp69 : std::max(tmp70, tmp69);
2023-01-11T21:01:51.9754972Z                     float tmp76 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9755044Z                     if(tmp33)
2023-01-11T21:01:51.9755096Z                     {
2023-01-11T21:01:51.9755262Z                         auto tmp77 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9755338Z                         tmp76 = tmp77;
2023-01-11T21:01:51.9755404Z                     }
2023-01-11T21:01:51.9755579Z                     auto tmp78 = static_cast<long>((-1) + (2*i1) + (16*i0));
2023-01-11T21:01:51.9755670Z                     auto tmp79 = tmp76 > tmp75;
2023-01-11T21:01:51.9755767Z                     auto tmp80 = tmp79 ? tmp78 : tmp74;
2023-01-11T21:01:51.9755882Z                     auto tmp81 = (tmp75 != tmp75) ? tmp75 : std::max(tmp76, tmp75);
2023-01-11T21:01:51.9756088Z                     float tmp82 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9756160Z                     if(tmp37)
2023-01-11T21:01:51.9756228Z                     {
2023-01-11T21:01:51.9756332Z                         auto tmp83 = in_ptr0[(2*i1) + (16*i0)];
2023-01-11T21:01:51.9756409Z                         tmp82 = tmp83;
2023-01-11T21:01:51.9756473Z                     }
2023-01-11T21:01:51.9756584Z                     auto tmp84 = static_cast<long>((2*i1) + (16*i0));
2023-01-11T21:01:51.9756662Z                     auto tmp85 = tmp82 > tmp81;
2023-01-11T21:01:51.9756759Z                     auto tmp86 = tmp85 ? tmp84 : tmp80;
2023-01-11T21:01:51.9756883Z                     auto tmp87 = (tmp81 != tmp81) ? tmp81 : std::max(tmp82, tmp81);
2023-01-11T21:01:51.9757087Z                     float tmp88 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9757166Z                     if(tmp41)
2023-01-11T21:01:51.9757232Z                     {
2023-01-11T21:01:51.9757335Z                         auto tmp89 = in_ptr0[1 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9757400Z                         tmp88 = tmp89;
2023-01-11T21:01:51.9757467Z                     }
2023-01-11T21:01:51.9757580Z                     auto tmp90 = static_cast<long>(1 + (2*i1) + (16*i0));
2023-01-11T21:01:51.9757673Z                     auto tmp91 = tmp88 > tmp87;
2023-01-11T21:01:51.9757771Z                     auto tmp92 = tmp91 ? tmp90 : tmp86;
2023-01-11T21:01:51.9757899Z                     auto tmp93 = (tmp87 != tmp87) ? tmp87 : std::max(tmp88, tmp87);
2023-01-11T21:01:51.9758103Z                     float tmp94 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9758176Z                     if(tmp49)
2023-01-11T21:01:51.9758228Z                     {
2023-01-11T21:01:51.9758332Z                         auto tmp95 = in_ptr0[7 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9758410Z                         tmp94 = tmp95;
2023-01-11T21:01:51.9758475Z                     }
2023-01-11T21:01:51.9758588Z                     auto tmp96 = static_cast<long>(7 + (2*i1) + (16*i0));
2023-01-11T21:01:51.9758679Z                     auto tmp97 = tmp94 > tmp93;
2023-01-11T21:01:51.9758778Z                     auto tmp98 = tmp97 ? tmp96 : tmp92;
2023-01-11T21:01:51.9758890Z                     auto tmp99 = (tmp93 != tmp93) ? tmp93 : std::max(tmp94, tmp93);
2023-01-11T21:01:51.9759102Z                     float tmp100 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9759174Z                     if(tmp53)
2023-01-11T21:01:51.9759238Z                     {
2023-01-11T21:01:51.9759344Z                         auto tmp101 = in_ptr0[8 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9759426Z                         tmp100 = tmp101;
2023-01-11T21:01:51.9759491Z                     }
2023-01-11T21:01:51.9759603Z                     auto tmp102 = static_cast<long>(8 + (2*i1) + (16*i0));
2023-01-11T21:01:51.9759720Z                     auto tmp103 = tmp100 > tmp99;
2023-01-11T21:01:51.9759822Z                     auto tmp104 = tmp103 ? tmp102 : tmp98;
2023-01-11T21:01:51.9759951Z                     auto tmp105 = (tmp99 != tmp99) ? tmp99 : std::max(tmp100, tmp99);
2023-01-11T21:01:51.9760204Z                     float tmp106 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9760279Z                     if(tmp57)
2023-01-11T21:01:51.9760344Z                     {
2023-01-11T21:01:51.9760450Z                         auto tmp107 = in_ptr0[9 + (2*i1) + (16*i0)];
2023-01-11T21:01:51.9760518Z                         tmp106 = tmp107;
2023-01-11T21:01:51.9760583Z                     }
2023-01-11T21:01:51.9760695Z                     auto tmp108 = static_cast<long>(9 + (2*i1) + (16*i0));
2023-01-11T21:01:51.9760787Z                     auto tmp109 = tmp106 > tmp105;
2023-01-11T21:01:51.9760888Z                     auto tmp110 = tmp109 ? tmp108 : tmp104;
2023-01-11T21:01:51.9761021Z                     auto tmp111 = (tmp105 != tmp105) ? tmp105 : std::max(tmp106, tmp105);
2023-01-11T21:01:51.9761114Z                     out_ptr0[i1 + (4*i0)] = tmp60;
2023-01-11T21:01:51.9761204Z                     out_ptr1[i1 + (4*i0)] = tmp110;
2023-01-11T21:01:51.9761257Z                 }
2023-01-11T21:01:51.9761320Z             }
2023-01-11T21:01:51.9761382Z         }
2023-01-11T21:01:51.9761442Z     }
2023-01-11T21:01:51.9761500Z }
2023-01-11T21:01:51.9761577Z ''')
2023-01-11T21:01:51.9761584Z 
2023-01-11T21:01:51.9761589Z 
2023-01-11T21:01:51.9761676Z async_compile.wait(globals())
2023-01-11T21:01:51.9761734Z del async_compile
2023-01-11T21:01:51.9761739Z 
2023-01-11T21:01:51.9761808Z def call(args):
2023-01-11T21:01:51.9761876Z     arg0_1, = args
2023-01-11T21:01:51.9761946Z     args.clear()
2023-01-11T21:01:51.9762156Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9762362Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9762527Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9762581Z     del arg0_1
2023-01-11T21:01:51.9762657Z     return (buf0, buf1, )
2023-01-11T21:01:51.9762662Z 
2023-01-11T21:01:51.9762668Z 
2023-01-11T21:01:51.9762741Z if __name__ == "__main__":
2023-01-11T21:01:51.9762853Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9762975Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9763188Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9763294Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9763779Z [2023-01-11 20:56:55,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344
2023-01-11T21:01:51.9763786Z 
2023-01-11T21:01:51.9763851Z ok (1.728s)
2023-01-11T21:01:51.9764278Z   test_max_pool2d4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9764407Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9764670Z [2023-01-11 20:56:55,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345
2023-01-11T21:01:51.9764933Z [2023-01-11 20:56:57,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345
2023-01-11T21:01:51.9764938Z 
2023-01-11T21:01:51.9765030Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9765100Z import torch
2023-01-11T21:01:51.9765168Z import random
2023-01-11T21:01:51.9765282Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9765402Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9765471Z 
2023-01-11T21:01:51.9765537Z aten = torch.ops.aten
2023-01-11T21:01:51.9765670Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9765760Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9765765Z 
2023-01-11T21:01:51.9765806Z 
2023-01-11T21:01:51.9765940Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9766144Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9766262Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9766361Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9766455Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.9766503Z {
2023-01-11T21:01:51.9766577Z     #pragma GCC ivdep
2023-01-11T21:01:51.9766656Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:51.9766716Z     {
2023-01-11T21:01:51.9766793Z         #pragma GCC ivdep
2023-01-11T21:01:51.9766875Z         for(long i1=0; i1<55; i1+=1)
2023-01-11T21:01:51.9766926Z         {
2023-01-11T21:01:51.9767003Z             #pragma GCC ivdep
2023-01-11T21:01:51.9767086Z             for(long i2=0; i2<55; i2+=1)
2023-01-11T21:01:51.9767148Z             {
2023-01-11T21:01:51.9767210Z                 {
2023-01-11T21:01:51.9767277Z                     {
2023-01-11T21:01:51.9767388Z                         auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9767489Z                         auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9767599Z                         auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9767713Z                         auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9767823Z                         auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9767929Z                         auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9768041Z                         auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9768152Z                         auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9768261Z                         auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2023-01-11T21:01:51.9768390Z                         auto tmp2 = (tmp0 != tmp0) ? tmp0 : std::max(tmp1, tmp0);
2023-01-11T21:01:51.9768502Z                         auto tmp4 = (tmp2 != tmp2) ? tmp2 : std::max(tmp3, tmp2);
2023-01-11T21:01:51.9768626Z                         auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp5, tmp4);
2023-01-11T21:01:51.9768748Z                         auto tmp8 = (tmp6 != tmp6) ? tmp6 : std::max(tmp7, tmp6);
2023-01-11T21:01:51.9768871Z                         auto tmp10 = (tmp8 != tmp8) ? tmp8 : std::max(tmp9, tmp8);
2023-01-11T21:01:51.9768997Z                         auto tmp12 = (tmp10 != tmp10) ? tmp10 : std::max(tmp11, tmp10);
2023-01-11T21:01:51.9769123Z                         auto tmp14 = (tmp12 != tmp12) ? tmp12 : std::max(tmp13, tmp12);
2023-01-11T21:01:51.9769252Z                         auto tmp16 = (tmp14 != tmp14) ? tmp14 : std::max(tmp15, tmp14);
2023-01-11T21:01:51.9769367Z                         auto tmp17 = static_cast<long>((2*i2) + (222*i1));
2023-01-11T21:01:51.9769483Z                         auto tmp18 = static_cast<long>(1 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9769564Z                         auto tmp19 = tmp1 > tmp0;
2023-01-11T21:01:51.9769665Z                         auto tmp20 = tmp19 ? tmp18 : tmp17;
2023-01-11T21:01:51.9769777Z                         auto tmp21 = static_cast<long>(2 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9769867Z                         auto tmp22 = tmp3 > tmp2;
2023-01-11T21:01:51.9769966Z                         auto tmp23 = tmp22 ? tmp21 : tmp20;
2023-01-11T21:01:51.9770082Z                         auto tmp24 = static_cast<long>(111 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9770171Z                         auto tmp25 = tmp5 > tmp4;
2023-01-11T21:01:51.9770297Z                         auto tmp26 = tmp25 ? tmp24 : tmp23;
2023-01-11T21:01:51.9770410Z                         auto tmp27 = static_cast<long>(112 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9770526Z                         auto tmp28 = tmp7 > tmp6;
2023-01-11T21:01:51.9770625Z                         auto tmp29 = tmp28 ? tmp27 : tmp26;
2023-01-11T21:01:51.9770736Z                         auto tmp30 = static_cast<long>(113 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9770825Z                         auto tmp31 = tmp9 > tmp8;
2023-01-11T21:01:51.9770921Z                         auto tmp32 = tmp31 ? tmp30 : tmp29;
2023-01-11T21:01:51.9771034Z                         auto tmp33 = static_cast<long>(222 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9771115Z                         auto tmp34 = tmp11 > tmp10;
2023-01-11T21:01:51.9771214Z                         auto tmp35 = tmp34 ? tmp33 : tmp32;
2023-01-11T21:01:51.9771329Z                         auto tmp36 = static_cast<long>(223 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9771425Z                         auto tmp37 = tmp13 > tmp12;
2023-01-11T21:01:51.9771525Z                         auto tmp38 = tmp37 ? tmp36 : tmp35;
2023-01-11T21:01:51.9771642Z                         auto tmp39 = static_cast<long>(224 + (2*i2) + (222*i1));
2023-01-11T21:01:51.9771735Z                         auto tmp40 = tmp15 > tmp14;
2023-01-11T21:01:51.9771834Z                         auto tmp41 = tmp40 ? tmp39 : tmp38;
2023-01-11T21:01:51.9771924Z                         out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp16;
2023-01-11T21:01:51.9772022Z                         out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp41;
2023-01-11T21:01:51.9772087Z                     }
2023-01-11T21:01:51.9772151Z                 }
2023-01-11T21:01:51.9772214Z             }
2023-01-11T21:01:51.9772275Z         }
2023-01-11T21:01:51.9772334Z     }
2023-01-11T21:01:51.9772380Z }
2023-01-11T21:01:51.9772457Z ''')
2023-01-11T21:01:51.9772463Z 
2023-01-11T21:01:51.9772467Z 
2023-01-11T21:01:51.9772555Z async_compile.wait(globals())
2023-01-11T21:01:51.9772625Z del async_compile
2023-01-11T21:01:51.9772630Z 
2023-01-11T21:01:51.9772699Z def call(args):
2023-01-11T21:01:51.9772766Z     arg0_1, = args
2023-01-11T21:01:51.9772836Z     args.clear()
2023-01-11T21:01:51.9773047Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9773266Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9773427Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9773493Z     del arg0_1
2023-01-11T21:01:51.9773568Z     return (buf0, buf1, )
2023-01-11T21:01:51.9773573Z 
2023-01-11T21:01:51.9773577Z 
2023-01-11T21:01:51.9773651Z if __name__ == "__main__":
2023-01-11T21:01:51.9773765Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9773885Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9774101Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9774207Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9774212Z 
2023-01-11T21:01:51.9774277Z ok (1.660s)
2023-01-11T21:01:51.9774716Z   test_max_pool2d5_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9774842Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9775098Z [2023-01-11 20:56:57,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346
2023-01-11T21:01:51.9775363Z [2023-01-11 20:56:59,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346
2023-01-11T21:01:51.9775401Z 
2023-01-11T21:01:51.9775494Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9775561Z import torch
2023-01-11T21:01:51.9775618Z import random
2023-01-11T21:01:51.9775759Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9775879Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9775885Z 
2023-01-11T21:01:51.9775961Z aten = torch.ops.aten
2023-01-11T21:01:51.9776094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9776185Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9776190Z 
2023-01-11T21:01:51.9776194Z 
2023-01-11T21:01:51.9776325Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9776529Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9776634Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9776733Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9776829Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:51.9776889Z {
2023-01-11T21:01:51.9776964Z     #pragma GCC ivdep
2023-01-11T21:01:51.9777043Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:51.9777102Z     {
2023-01-11T21:01:51.9777167Z         #pragma GCC ivdep
2023-01-11T21:01:51.9777247Z         for(long i1=0; i1<18; i1+=1)
2023-01-11T21:01:51.9777312Z         {
2023-01-11T21:01:51.9777389Z             #pragma GCC ivdep
2023-01-11T21:01:51.9777472Z             for(long i2=0; i2<18; i2+=1)
2023-01-11T21:01:51.9777534Z             {
2023-01-11T21:01:51.9777596Z                 {
2023-01-11T21:01:51.9777649Z                     {
2023-01-11T21:01:51.9777759Z                         auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9777869Z                         auto tmp1 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9777978Z                         auto tmp3 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778089Z                         auto tmp5 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778199Z                         auto tmp7 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778309Z                         auto tmp9 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778422Z                         auto tmp11 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778518Z                         auto tmp13 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778625Z                         auto tmp15 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)];
2023-01-11T21:01:51.9778750Z                         auto tmp2 = (tmp0 != tmp0) ? tmp0 : std::max(tmp1, tmp0);
2023-01-11T21:01:51.9778874Z                         auto tmp4 = (tmp2 != tmp2) ? tmp2 : std::max(tmp3, tmp2);
2023-01-11T21:01:51.9778997Z                         auto tmp6 = (tmp4 != tmp4) ? tmp4 : std::max(tmp5, tmp4);
2023-01-11T21:01:51.9779118Z                         auto tmp8 = (tmp6 != tmp6) ? tmp6 : std::max(tmp7, tmp6);
2023-01-11T21:01:51.9779244Z                         auto tmp10 = (tmp8 != tmp8) ? tmp8 : std::max(tmp9, tmp8);
2023-01-11T21:01:51.9779372Z                         auto tmp12 = (tmp10 != tmp10) ? tmp10 : std::max(tmp11, tmp10);
2023-01-11T21:01:51.9779498Z                         auto tmp14 = (tmp12 != tmp12) ? tmp12 : std::max(tmp13, tmp12);
2023-01-11T21:01:51.9779611Z                         auto tmp16 = (tmp14 != tmp14) ? tmp14 : std::max(tmp15, tmp14);
2023-01-11T21:01:51.9779724Z                         auto tmp17 = static_cast<long>((3*i2) + (165*i1));
2023-01-11T21:01:51.9779841Z                         auto tmp18 = static_cast<long>(1 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9779933Z                         auto tmp19 = tmp1 > tmp0;
2023-01-11T21:01:51.9780034Z                         auto tmp20 = tmp19 ? tmp18 : tmp17;
2023-01-11T21:01:51.9780146Z                         auto tmp21 = static_cast<long>(2 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9780268Z                         auto tmp22 = tmp3 > tmp2;
2023-01-11T21:01:51.9780367Z                         auto tmp23 = tmp22 ? tmp21 : tmp20;
2023-01-11T21:01:51.9780497Z                         auto tmp24 = static_cast<long>(55 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9780590Z                         auto tmp25 = tmp5 > tmp4;
2023-01-11T21:01:51.9780689Z                         auto tmp26 = tmp25 ? tmp24 : tmp23;
2023-01-11T21:01:51.9780804Z                         auto tmp27 = static_cast<long>(56 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9780893Z                         auto tmp28 = tmp7 > tmp6;
2023-01-11T21:01:51.9780992Z                         auto tmp29 = tmp28 ? tmp27 : tmp26;
2023-01-11T21:01:51.9781105Z                         auto tmp30 = static_cast<long>(57 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9781181Z                         auto tmp31 = tmp9 > tmp8;
2023-01-11T21:01:51.9781279Z                         auto tmp32 = tmp31 ? tmp30 : tmp29;
2023-01-11T21:01:51.9781396Z                         auto tmp33 = static_cast<long>(110 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9781489Z                         auto tmp34 = tmp11 > tmp10;
2023-01-11T21:01:51.9781589Z                         auto tmp35 = tmp34 ? tmp33 : tmp32;
2023-01-11T21:01:51.9781707Z                         auto tmp36 = static_cast<long>(111 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9781799Z                         auto tmp37 = tmp13 > tmp12;
2023-01-11T21:01:51.9781897Z                         auto tmp38 = tmp37 ? tmp36 : tmp35;
2023-01-11T21:01:51.9782000Z                         auto tmp39 = static_cast<long>(112 + (3*i2) + (165*i1));
2023-01-11T21:01:51.9782092Z                         auto tmp40 = tmp15 > tmp14;
2023-01-11T21:01:51.9782191Z                         auto tmp41 = tmp40 ? tmp39 : tmp38;
2023-01-11T21:01:51.9782292Z                         out_ptr0[i2 + (18*i1) + (324*i0)] = tmp16;
2023-01-11T21:01:51.9782389Z                         out_ptr1[i2 + (18*i1) + (324*i0)] = tmp41;
2023-01-11T21:01:51.9782455Z                     }
2023-01-11T21:01:51.9782519Z                 }
2023-01-11T21:01:51.9782569Z             }
2023-01-11T21:01:51.9782630Z         }
2023-01-11T21:01:51.9782689Z     }
2023-01-11T21:01:51.9782747Z }
2023-01-11T21:01:51.9782825Z ''')
2023-01-11T21:01:51.9782832Z 
2023-01-11T21:01:51.9782837Z 
2023-01-11T21:01:51.9782925Z async_compile.wait(globals())
2023-01-11T21:01:51.9782993Z del async_compile
2023-01-11T21:01:51.9782998Z 
2023-01-11T21:01:51.9783065Z def call(args):
2023-01-11T21:01:51.9783120Z     arg0_1, = args
2023-01-11T21:01:51.9783188Z     args.clear()
2023-01-11T21:01:51.9783412Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9783628Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9783790Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9783858Z     del arg0_1
2023-01-11T21:01:51.9783935Z     return (buf0, buf1, )
2023-01-11T21:01:51.9783940Z 
2023-01-11T21:01:51.9783945Z 
2023-01-11T21:01:51.9784005Z if __name__ == "__main__":
2023-01-11T21:01:51.9784118Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9784244Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9784469Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9784576Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9784582Z 
2023-01-11T21:01:51.9784648Z ok (1.813s)
2023-01-11T21:01:51.9785088Z   test_max_pool2d6_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9785249Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9785509Z [2023-01-11 20:56:59,221] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347
2023-01-11T21:01:51.9785782Z [2023-01-11 20:56:59,227] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2023-01-11T21:01:51.9786032Z [2023-01-11 20:56:59,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347
2023-01-11T21:01:51.9786038Z 
2023-01-11T21:01:51.9786131Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9786200Z import torch
2023-01-11T21:01:51.9786269Z import random
2023-01-11T21:01:51.9786382Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9786503Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9786508Z 
2023-01-11T21:01:51.9786585Z aten = torch.ops.aten
2023-01-11T21:01:51.9786703Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9786795Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9786801Z 
2023-01-11T21:01:51.9786805Z 
2023-01-11T21:01:51.9786891Z async_compile.wait(globals())
2023-01-11T21:01:51.9786962Z del async_compile
2023-01-11T21:01:51.9786967Z 
2023-01-11T21:01:51.9787038Z def call(args):
2023-01-11T21:01:51.9787106Z     arg0_1, = args
2023-01-11T21:01:51.9787176Z     args.clear()
2023-01-11T21:01:51.9787306Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2023-01-11T21:01:51.9787360Z     del arg0_1
2023-01-11T21:01:51.9787427Z     buf1 = buf0[0]
2023-01-11T21:01:51.9787534Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2023-01-11T21:01:51.9787601Z     buf2 = buf0[1]
2023-01-11T21:01:51.9787706Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2023-01-11T21:01:51.9787769Z     del buf0
2023-01-11T21:01:51.9787845Z     return (buf1, buf2, )
2023-01-11T21:01:51.9787850Z 
2023-01-11T21:01:51.9787855Z 
2023-01-11T21:01:51.9787916Z if __name__ == "__main__":
2023-01-11T21:01:51.9788029Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9788151Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9788379Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9788492Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9788497Z 
2023-01-11T21:01:51.9788563Z ok (0.191s)
2023-01-11T21:01:51.9789021Z   test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9789151Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9789407Z [2023-01-11 20:56:59,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348
2023-01-11T21:01:51.9789672Z [2023-01-11 20:57:01,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348
2023-01-11T21:01:51.9789680Z 
2023-01-11T21:01:51.9789759Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9789828Z import torch
2023-01-11T21:01:51.9789896Z import random
2023-01-11T21:01:51.9790009Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9790129Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9790134Z 
2023-01-11T21:01:51.9790210Z aten = torch.ops.aten
2023-01-11T21:01:51.9790343Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9790421Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9790438Z 
2023-01-11T21:01:51.9790443Z 
2023-01-11T21:01:51.9790562Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9790764Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9790916Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9791022Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9791148Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9791209Z {
2023-01-11T21:01:51.9791285Z     #pragma GCC ivdep
2023-01-11T21:01:51.9791351Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9791412Z     {
2023-01-11T21:01:51.9791492Z         #pragma GCC ivdep
2023-01-11T21:01:51.9791573Z         for(long i1=0; i1<40; i1+=1)
2023-01-11T21:01:51.9791635Z         {
2023-01-11T21:01:51.9791712Z             #pragma GCC ivdep
2023-01-11T21:01:51.9791797Z             for(long i2=0; i2<56; i2+=1)
2023-01-11T21:01:51.9791847Z             {
2023-01-11T21:01:51.9791911Z                 {
2023-01-11T21:01:51.9791975Z                     {
2023-01-11T21:01:51.9792085Z                         auto tmp0 = static_cast<int>(i2 + (56*i1));
2023-01-11T21:01:51.9792193Z                         auto tmp1 = static_cast<int>((i1 / 2));
2023-01-11T21:01:51.9792299Z                         auto tmp2 = static_cast<int>((i2 / 2));
2023-01-11T21:01:51.9792413Z                         auto tmp3 = static_cast<int>(1 + (((1 + i1) / 2)));
2023-01-11T21:01:51.9792512Z                         auto tmp4 = static_cast<int>(1 + (((1 + i2) / 2)));
2023-01-11T21:01:51.9792613Z                         auto tmp5 = static_cast<int>(0);
2023-01-11T21:01:51.9792742Z                         auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::max(tmp1, tmp5);
2023-01-11T21:01:51.9792953Z                         auto tmp7 = (tmp5 != tmp5) ? tmp5 : std::max(tmp2, tmp5);
2023-01-11T21:01:51.9793064Z                         auto tmp8 = static_cast<int>(21);
2023-01-11T21:01:51.9793187Z                         auto tmp9 = (tmp8 != tmp8) ? tmp8 : std::min(tmp3, tmp8);
2023-01-11T21:01:51.9793294Z                         auto tmp10 = static_cast<int>(29);
2023-01-11T21:01:51.9793421Z                         auto tmp11 = (tmp10 != tmp10) ? tmp10 : std::min(tmp4, tmp10);
2023-01-11T21:01:51.9793504Z                         auto tmp12 = tmp6 + tmp5;
2023-01-11T21:01:51.9793598Z                         auto tmp13 = tmp7 + tmp5;
2023-01-11T21:01:51.9793702Z                         auto tmp14 = static_cast<int>(1);
2023-01-11T21:01:51.9793846Z                         auto tmp15 = tmp9 - tmp14;
2023-01-11T21:01:51.9793973Z                         auto tmp16 = (tmp15 != tmp15) ? tmp15 : std::min(tmp12, tmp15);
2023-01-11T21:01:51.9794116Z                         auto tmp17 = tmp11 - tmp14;
2023-01-11T21:01:51.9794244Z                         auto tmp18 = (tmp17 != tmp17) ? tmp17 : std::min(tmp13, tmp17);
2023-01-11T21:01:51.9794360Z                         auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)];
2023-01-11T21:01:51.9794464Z                         auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)];
2023-01-11T21:01:51.9794557Z                         auto tmp21 = tmp19 == tmp0;
2023-01-11T21:01:51.9794665Z                         auto tmp22 = static_cast<float>(0.0);
2023-01-11T21:01:51.9794771Z                         auto tmp23 = tmp21 ? tmp20 : tmp22;
2023-01-11T21:01:51.9794864Z                         auto tmp24 = tmp7 + tmp14;
2023-01-11T21:01:51.9794993Z                         auto tmp25 = (tmp17 != tmp17) ? tmp17 : std::min(tmp24, tmp17);
2023-01-11T21:01:51.9795107Z                         auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)];
2023-01-11T21:01:51.9795221Z                         auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)];
2023-01-11T21:01:51.9795302Z                         auto tmp28 = tmp26 == tmp0;
2023-01-11T21:01:51.9795393Z                         auto tmp29 = tmp12 < tmp9;
2023-01-11T21:01:51.9795483Z                         auto tmp30 = tmp24 < tmp11;
2023-01-11T21:01:51.9795572Z                         auto tmp31 = tmp29 & tmp30;
2023-01-11T21:01:51.9795660Z                         auto tmp32 = tmp31 & tmp28;
2023-01-11T21:01:51.9795747Z                         auto tmp33 = tmp23 + tmp27;
2023-01-11T21:01:51.9795883Z                         auto tmp34 = tmp32 ? tmp33 : tmp23;
2023-01-11T21:01:51.9795961Z                         auto tmp35 = tmp6 + tmp14;
2023-01-11T21:01:51.9796170Z                         auto tmp36 = (tmp15 != tmp15) ? tmp15 : std::min(tmp35, tmp15);
2023-01-11T21:01:51.9796339Z                         auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)];
2023-01-11T21:01:51.9796454Z                         auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)];
2023-01-11T21:01:51.9796545Z                         auto tmp39 = tmp37 == tmp0;
2023-01-11T21:01:51.9796637Z                         auto tmp40 = tmp35 < tmp9;
2023-01-11T21:01:51.9796727Z                         auto tmp41 = tmp13 < tmp11;
2023-01-11T21:01:51.9796816Z                         auto tmp42 = tmp40 & tmp41;
2023-01-11T21:01:51.9796891Z                         auto tmp43 = tmp42 & tmp39;
2023-01-11T21:01:51.9796983Z                         auto tmp44 = tmp34 + tmp38;
2023-01-11T21:01:51.9797085Z                         auto tmp45 = tmp43 ? tmp44 : tmp34;
2023-01-11T21:01:51.9797197Z                         auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)];
2023-01-11T21:01:51.9797310Z                         auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)];
2023-01-11T21:01:51.9797400Z                         auto tmp48 = tmp46 == tmp0;
2023-01-11T21:01:51.9797488Z                         auto tmp49 = tmp40 & tmp30;
2023-01-11T21:01:51.9797576Z                         auto tmp50 = tmp49 & tmp48;
2023-01-11T21:01:51.9797652Z                         auto tmp51 = tmp45 + tmp47;
2023-01-11T21:01:51.9797751Z                         auto tmp52 = tmp50 ? tmp51 : tmp45;
2023-01-11T21:01:51.9797852Z                         out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52;
2023-01-11T21:01:51.9797917Z                     }
2023-01-11T21:01:51.9797980Z                 }
2023-01-11T21:01:51.9798042Z             }
2023-01-11T21:01:51.9798103Z         }
2023-01-11T21:01:51.9798150Z     }
2023-01-11T21:01:51.9798214Z }
2023-01-11T21:01:51.9798294Z ''')
2023-01-11T21:01:51.9798300Z 
2023-01-11T21:01:51.9798304Z 
2023-01-11T21:01:51.9798391Z async_compile.wait(globals())
2023-01-11T21:01:51.9798462Z del async_compile
2023-01-11T21:01:51.9798467Z 
2023-01-11T21:01:51.9798536Z def call(args):
2023-01-11T21:01:51.9798617Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9798674Z     args.clear()
2023-01-11T21:01:51.9798895Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9799055Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9799121Z     del arg0_1
2023-01-11T21:01:51.9799187Z     del arg2_1
2023-01-11T21:01:51.9799258Z     return (buf0, )
2023-01-11T21:01:51.9799263Z 
2023-01-11T21:01:51.9799267Z 
2023-01-11T21:01:51.9799334Z if __name__ == "__main__":
2023-01-11T21:01:51.9805024Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9805189Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9805445Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9805671Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9805887Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9806010Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9806017Z 
2023-01-11T21:01:51.9806070Z ok (1.654s)
2023-01-11T21:01:51.9806533Z   test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9806767Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9807032Z [2023-01-11 20:57:01,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349
2023-01-11T21:01:51.9807346Z [2023-01-11 20:57:02,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349
2023-01-11T21:01:51.9807354Z 
2023-01-11T21:01:51.9807449Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9807519Z import torch
2023-01-11T21:01:51.9807588Z import random
2023-01-11T21:01:51.9807703Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9807811Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9807817Z 
2023-01-11T21:01:51.9807895Z aten = torch.ops.aten
2023-01-11T21:01:51.9808030Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9808121Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9808126Z 
2023-01-11T21:01:51.9808130Z 
2023-01-11T21:01:51.9808268Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9808472Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9808588Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9808694Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9808781Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9808840Z {
2023-01-11T21:01:51.9808914Z     #pragma GCC ivdep
2023-01-11T21:01:51.9808997Z     for(long i0=0; i0<8192; i0+=1)
2023-01-11T21:01:51.9809057Z     {
2023-01-11T21:01:51.9809133Z         #pragma GCC ivdep
2023-01-11T21:01:51.9809213Z         for(long i1=0; i1<37; i1+=1)
2023-01-11T21:01:51.9809262Z         {
2023-01-11T21:01:51.9809340Z             #pragma GCC ivdep
2023-01-11T21:01:51.9809424Z             for(long i2=0; i2<38; i2+=1)
2023-01-11T21:01:51.9809486Z             {
2023-01-11T21:01:51.9809548Z                 {
2023-01-11T21:01:51.9809615Z                     {
2023-01-11T21:01:51.9809727Z                         auto tmp0 = static_cast<int>(i2 + (38*i1));
2023-01-11T21:01:51.9809825Z                         auto tmp1 = static_cast<int>(((1 + i1) / 2));
2023-01-11T21:01:51.9809932Z                         auto tmp2 = static_cast<int>(((1 + i2) / 2));
2023-01-11T21:01:51.9810039Z                         auto tmp3 = static_cast<int>(1 + (i1 / 2));
2023-01-11T21:01:51.9810141Z                         auto tmp4 = static_cast<int>(1 + (i2 / 2));
2023-01-11T21:01:51.9810242Z                         auto tmp5 = static_cast<int>(0);
2023-01-11T21:01:51.9810377Z                         auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::max(tmp1, tmp5);
2023-01-11T21:01:51.9810502Z                         auto tmp7 = (tmp5 != tmp5) ? tmp5 : std::max(tmp2, tmp5);
2023-01-11T21:01:51.9810606Z                         auto tmp8 = static_cast<int>(19);
2023-01-11T21:01:51.9810713Z                         auto tmp9 = (tmp8 != tmp8) ? tmp8 : std::min(tmp3, tmp8);
2023-01-11T21:01:51.9810845Z                         auto tmp10 = (tmp8 != tmp8) ? tmp8 : std::min(tmp4, tmp8);
2023-01-11T21:01:51.9810937Z                         auto tmp11 = tmp6 + tmp5;
2023-01-11T21:01:51.9811030Z                         auto tmp12 = tmp7 + tmp5;
2023-01-11T21:01:51.9811133Z                         auto tmp13 = static_cast<int>(1);
2023-01-11T21:01:51.9811275Z                         auto tmp14 = tmp9 - tmp13;
2023-01-11T21:01:51.9811405Z                         auto tmp15 = (tmp14 != tmp14) ? tmp14 : std::min(tmp11, tmp14);
2023-01-11T21:01:51.9811548Z                         auto tmp16 = tmp10 - tmp13;
2023-01-11T21:01:51.9811663Z                         auto tmp17 = (tmp16 != tmp16) ? tmp16 : std::min(tmp12, tmp16);
2023-01-11T21:01:51.9811781Z                         auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)];
2023-01-11T21:01:51.9811895Z                         auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)];
2023-01-11T21:01:51.9811989Z                         auto tmp20 = tmp18 == tmp0;
2023-01-11T21:01:51.9812134Z                         auto tmp21 = static_cast<float>(0.0);
2023-01-11T21:01:51.9812238Z                         auto tmp22 = tmp20 ? tmp19 : tmp21;
2023-01-11T21:01:51.9812367Z                         out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22;
2023-01-11T21:01:51.9812433Z                     }
2023-01-11T21:01:51.9812485Z                 }
2023-01-11T21:01:51.9812547Z             }
2023-01-11T21:01:51.9812608Z         }
2023-01-11T21:01:51.9812669Z     }
2023-01-11T21:01:51.9812727Z }
2023-01-11T21:01:51.9812805Z ''')
2023-01-11T21:01:51.9812810Z 
2023-01-11T21:01:51.9812815Z 
2023-01-11T21:01:51.9812905Z async_compile.wait(globals())
2023-01-11T21:01:51.9812962Z del async_compile
2023-01-11T21:01:51.9812967Z 
2023-01-11T21:01:51.9813035Z def call(args):
2023-01-11T21:01:51.9813116Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9813186Z     args.clear()
2023-01-11T21:01:51.9813414Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9813574Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9813640Z     del arg0_1
2023-01-11T21:01:51.9813693Z     del arg2_1
2023-01-11T21:01:51.9813765Z     return (buf0, )
2023-01-11T21:01:51.9813770Z 
2023-01-11T21:01:51.9813774Z 
2023-01-11T21:01:51.9813848Z if __name__ == "__main__":
2023-01-11T21:01:51.9813961Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9814083Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9814309Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9814536Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9814754Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9814861Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9814881Z 
2023-01-11T21:01:51.9814934Z ok (3.008s)
2023-01-11T21:01:51.9815396Z   test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9815521Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9815781Z [2023-01-11 20:57:04,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350
2023-01-11T21:01:51.9815787Z 
2023-01-11T21:01:51.9815880Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9815948Z import torch
2023-01-11T21:01:51.9816018Z import random
2023-01-11T21:01:51.9816131Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9816241Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9816246Z 
2023-01-11T21:01:51.9816322Z aten = torch.ops.aten
2023-01-11T21:01:51.9816454Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9816545Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9816550Z 
2023-01-11T21:01:51.9816555Z 
2023-01-11T21:01:51.9816686Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9816888Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9817006Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9817111Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9817196Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9817256Z {
2023-01-11T21:01:51.9817330Z     #pragma GCC ivdep
2023-01-11T21:01:51.9817409Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.9817468Z     {
2023-01-11T21:01:51.9817576Z         #pragma GCC ivdep
2023-01-11T21:01:51.9817657Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:51.9817706Z         {
2023-01-11T21:01:51.9817783Z             #pragma GCC ivdep
2023-01-11T21:01:51.9817865Z             for(long i2=0; i2<4; i2+=1)
2023-01-11T21:01:51.9817958Z             {
2023-01-11T21:01:51.9818024Z                 {
2023-01-11T21:01:51.9818091Z                     {
2023-01-11T21:01:51.9818203Z                         auto tmp0 = static_cast<int>(i2 + (4*i1));
2023-01-11T21:01:51.9818356Z                         auto tmp1 = static_cast<int>((-2) + i1);
2023-01-11T21:01:51.9818520Z                         auto tmp2 = static_cast<int>((-2) + i2);
2023-01-11T21:01:51.9818627Z                         auto tmp3 = static_cast<int>(3 + i1);
2023-01-11T21:01:51.9818733Z                         auto tmp4 = static_cast<int>(3 + i2);
2023-01-11T21:01:51.9818834Z                         auto tmp5 = static_cast<int>(0);
2023-01-11T21:01:51.9818961Z                         auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::max(tmp1, tmp5);
2023-01-11T21:01:51.9819087Z                         auto tmp7 = (tmp5 != tmp5) ? tmp5 : std::max(tmp2, tmp5);
2023-01-11T21:01:51.9819189Z                         auto tmp8 = static_cast<int>(3);
2023-01-11T21:01:51.9819298Z                         auto tmp9 = (tmp8 != tmp8) ? tmp8 : std::min(tmp3, tmp8);
2023-01-11T21:01:51.9819400Z                         auto tmp10 = static_cast<int>(4);
2023-01-11T21:01:51.9819529Z                         auto tmp11 = (tmp10 != tmp10) ? tmp10 : std::min(tmp4, tmp10);
2023-01-11T21:01:51.9819623Z                         auto tmp12 = tmp6 + tmp5;
2023-01-11T21:01:51.9819715Z                         auto tmp13 = tmp7 + tmp5;
2023-01-11T21:01:51.9819814Z                         auto tmp14 = static_cast<int>(1);
2023-01-11T21:01:51.9819957Z                         auto tmp15 = tmp9 - tmp14;
2023-01-11T21:01:51.9820085Z                         auto tmp16 = (tmp15 != tmp15) ? tmp15 : std::min(tmp12, tmp15);
2023-01-11T21:01:51.9820216Z                         auto tmp17 = tmp11 - tmp14;
2023-01-11T21:01:51.9820344Z                         auto tmp18 = (tmp17 != tmp17) ? tmp17 : std::min(tmp13, tmp17);
2023-01-11T21:01:51.9820459Z                         auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9820573Z                         auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9820668Z                         auto tmp21 = tmp19 == tmp0;
2023-01-11T21:01:51.9820775Z                         auto tmp22 = static_cast<float>(0.0);
2023-01-11T21:01:51.9820876Z                         auto tmp23 = tmp21 ? tmp20 : tmp22;
2023-01-11T21:01:51.9820969Z                         auto tmp24 = tmp7 + tmp14;
2023-01-11T21:01:51.9821083Z                         auto tmp25 = (tmp17 != tmp17) ? tmp17 : std::min(tmp24, tmp17);
2023-01-11T21:01:51.9821196Z                         auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9821308Z                         auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9821403Z                         auto tmp28 = tmp26 == tmp0;
2023-01-11T21:01:51.9821494Z                         auto tmp29 = tmp12 < tmp9;
2023-01-11T21:01:51.9821585Z                         auto tmp30 = tmp24 < tmp11;
2023-01-11T21:01:51.9821676Z                         auto tmp31 = tmp29 & tmp30;
2023-01-11T21:01:51.9821751Z                         auto tmp32 = tmp31 & tmp28;
2023-01-11T21:01:51.9821838Z                         auto tmp33 = tmp23 + tmp27;
2023-01-11T21:01:51.9821939Z                         auto tmp34 = tmp32 ? tmp33 : tmp23;
2023-01-11T21:01:51.9822040Z                         auto tmp35 = static_cast<int>(2);
2023-01-11T21:01:51.9822131Z                         auto tmp36 = tmp7 + tmp35;
2023-01-11T21:01:51.9822257Z                         auto tmp37 = (tmp17 != tmp17) ? tmp17 : std::min(tmp36, tmp17);
2023-01-11T21:01:51.9822369Z                         auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9822479Z                         auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9822588Z                         auto tmp40 = tmp38 == tmp0;
2023-01-11T21:01:51.9822678Z                         auto tmp41 = tmp36 < tmp11;
2023-01-11T21:01:51.9822795Z                         auto tmp42 = tmp29 & tmp41;
2023-01-11T21:01:51.9822885Z                         auto tmp43 = tmp42 & tmp40;
2023-01-11T21:01:51.9822974Z                         auto tmp44 = tmp34 + tmp39;
2023-01-11T21:01:51.9823075Z                         auto tmp45 = tmp43 ? tmp44 : tmp34;
2023-01-11T21:01:51.9823166Z                         auto tmp46 = tmp7 + tmp8;
2023-01-11T21:01:51.9823292Z                         auto tmp47 = (tmp17 != tmp17) ? tmp17 : std::min(tmp46, tmp17);
2023-01-11T21:01:51.9823390Z                         auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9823502Z                         auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9823594Z                         auto tmp50 = tmp48 == tmp0;
2023-01-11T21:01:51.9823691Z                         auto tmp51 = tmp46 < tmp11;
2023-01-11T21:01:51.9823778Z                         auto tmp52 = tmp29 & tmp51;
2023-01-11T21:01:51.9823866Z                         auto tmp53 = tmp52 & tmp50;
2023-01-11T21:01:51.9823956Z                         auto tmp54 = tmp45 + tmp49;
2023-01-11T21:01:51.9824044Z                         auto tmp55 = tmp53 ? tmp54 : tmp45;
2023-01-11T21:01:51.9824136Z                         auto tmp56 = tmp7 + tmp10;
2023-01-11T21:01:51.9824262Z                         auto tmp57 = (tmp17 != tmp17) ? tmp17 : std::min(tmp56, tmp17);
2023-01-11T21:01:51.9824373Z                         auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9824481Z                         auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)];
2023-01-11T21:01:51.9824573Z                         auto tmp60 = tmp58 == tmp0;
2023-01-11T21:01:51.9824661Z                         auto tmp61 = tmp56 < tmp11;
2023-01-11T21:01:51.9824751Z                         auto tmp62 = tmp29 & tmp61;
2023-01-11T21:01:51.9824826Z                         auto tmp63 = tmp62 & tmp60;
2023-01-11T21:01:51.9824913Z                         auto tmp64 = tmp55 + tmp59;
2023-01-11T21:01:51.9825014Z                         auto tmp65 = tmp63 ? tmp64 : tmp55;
2023-01-11T21:01:51.9825106Z                         auto tmp66 = tmp6 + tmp14;
2023-01-11T21:01:51.9825233Z                         auto tmp67 = (tmp15 != tmp15) ? tmp15 : std::min(tmp66, tmp15);
2023-01-11T21:01:51.9825342Z                         auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9825453Z                         auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9825547Z                         auto tmp70 = tmp68 == tmp0;
2023-01-11T21:01:51.9825626Z                         auto tmp71 = tmp66 < tmp9;
2023-01-11T21:01:51.9825718Z                         auto tmp72 = tmp13 < tmp11;
2023-01-11T21:01:51.9825808Z                         auto tmp73 = tmp71 & tmp72;
2023-01-11T21:01:51.9825900Z                         auto tmp74 = tmp73 & tmp70;
2023-01-11T21:01:51.9825987Z                         auto tmp75 = tmp65 + tmp69;
2023-01-11T21:01:51.9826088Z                         auto tmp76 = tmp74 ? tmp75 : tmp65;
2023-01-11T21:01:51.9826200Z                         auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9826298Z                         auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9826390Z                         auto tmp79 = tmp77 == tmp0;
2023-01-11T21:01:51.9826479Z                         auto tmp80 = tmp71 & tmp30;
2023-01-11T21:01:51.9826566Z                         auto tmp81 = tmp80 & tmp79;
2023-01-11T21:01:51.9826655Z                         auto tmp82 = tmp76 + tmp78;
2023-01-11T21:01:51.9826754Z                         auto tmp83 = tmp81 ? tmp82 : tmp76;
2023-01-11T21:01:51.9826863Z                         auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9826973Z                         auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9827082Z                         auto tmp86 = tmp84 == tmp0;
2023-01-11T21:01:51.9827173Z                         auto tmp87 = tmp71 & tmp41;
2023-01-11T21:01:51.9827290Z                         auto tmp88 = tmp87 & tmp86;
2023-01-11T21:01:51.9827381Z                         auto tmp89 = tmp83 + tmp85;
2023-01-11T21:01:51.9827481Z                         auto tmp90 = tmp88 ? tmp89 : tmp83;
2023-01-11T21:01:51.9827590Z                         auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9827702Z                         auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9827780Z                         auto tmp93 = tmp91 == tmp0;
2023-01-11T21:01:51.9827869Z                         auto tmp94 = tmp71 & tmp51;
2023-01-11T21:01:51.9827957Z                         auto tmp95 = tmp94 & tmp93;
2023-01-11T21:01:51.9828044Z                         auto tmp96 = tmp90 + tmp92;
2023-01-11T21:01:51.9828147Z                         auto tmp97 = tmp95 ? tmp96 : tmp90;
2023-01-11T21:01:51.9828258Z                         auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9828369Z                         auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)];
2023-01-11T21:01:51.9828464Z                         auto tmp100 = tmp98 == tmp0;
2023-01-11T21:01:51.9828545Z                         auto tmp101 = tmp71 & tmp61;
2023-01-11T21:01:51.9828641Z                         auto tmp102 = tmp101 & tmp100;
2023-01-11T21:01:51.9828733Z                         auto tmp103 = tmp97 + tmp99;
2023-01-11T21:01:51.9828837Z                         auto tmp104 = tmp102 ? tmp103 : tmp97;
2023-01-11T21:01:51.9828929Z                         auto tmp105 = tmp6 + tmp35;
2023-01-11T21:01:51.9829057Z                         auto tmp106 = (tmp15 != tmp15) ? tmp15 : std::min(tmp105, tmp15);
2023-01-11T21:01:51.9829173Z                         auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9829276Z                         auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9829372Z                         auto tmp109 = tmp107 == tmp0;
2023-01-11T21:01:51.9829467Z                         auto tmp110 = tmp105 < tmp9;
2023-01-11T21:01:51.9829563Z                         auto tmp111 = tmp110 & tmp72;
2023-01-11T21:01:51.9829659Z                         auto tmp112 = tmp111 & tmp109;
2023-01-11T21:01:51.9829754Z                         auto tmp113 = tmp104 + tmp108;
2023-01-11T21:01:51.9829857Z                         auto tmp114 = tmp112 ? tmp113 : tmp104;
2023-01-11T21:01:51.9829973Z                         auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9830073Z                         auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9830167Z                         auto tmp117 = tmp115 == tmp0;
2023-01-11T21:01:51.9830259Z                         auto tmp118 = tmp110 & tmp30;
2023-01-11T21:01:51.9830354Z                         auto tmp119 = tmp118 & tmp117;
2023-01-11T21:01:51.9830451Z                         auto tmp120 = tmp114 + tmp116;
2023-01-11T21:01:51.9830553Z                         auto tmp121 = tmp119 ? tmp120 : tmp114;
2023-01-11T21:01:51.9830672Z                         auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9830783Z                         auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9830864Z                         auto tmp124 = tmp122 == tmp0;
2023-01-11T21:01:51.9830954Z                         auto tmp125 = tmp110 & tmp41;
2023-01-11T21:01:51.9831047Z                         auto tmp126 = tmp125 & tmp124;
2023-01-11T21:01:51.9831141Z                         auto tmp127 = tmp121 + tmp123;
2023-01-11T21:01:51.9831242Z                         auto tmp128 = tmp126 ? tmp127 : tmp121;
2023-01-11T21:01:51.9831355Z                         auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9831468Z                         auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9831581Z                         auto tmp131 = tmp129 == tmp0;
2023-01-11T21:01:51.9831673Z                         auto tmp132 = tmp110 & tmp51;
2023-01-11T21:01:51.9831795Z                         auto tmp133 = tmp132 & tmp131;
2023-01-11T21:01:51.9831890Z                         auto tmp134 = tmp128 + tmp130;
2023-01-11T21:01:51.9831992Z                         auto tmp135 = tmp133 ? tmp134 : tmp128;
2023-01-11T21:01:51.9832104Z                         auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9832216Z                         auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)];
2023-01-11T21:01:51.9832310Z                         auto tmp138 = tmp136 == tmp0;
2023-01-11T21:01:51.9832390Z                         auto tmp139 = tmp110 & tmp61;
2023-01-11T21:01:51.9832482Z                         auto tmp140 = tmp139 & tmp138;
2023-01-11T21:01:51.9832575Z                         auto tmp141 = tmp135 + tmp137;
2023-01-11T21:01:51.9832681Z                         auto tmp142 = tmp140 ? tmp141 : tmp135;
2023-01-11T21:01:51.9832774Z                         auto tmp143 = tmp6 + tmp8;
2023-01-11T21:01:51.9833006Z                         auto tmp144 = (tmp15 != tmp15) ? tmp15 : std::min(tmp143, tmp15);
2023-01-11T21:01:51.9833123Z                         auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9833221Z                         auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9833315Z                         auto tmp147 = tmp145 == tmp0;
2023-01-11T21:01:51.9833406Z                         auto tmp148 = tmp143 < tmp9;
2023-01-11T21:01:51.9833498Z                         auto tmp149 = tmp148 & tmp72;
2023-01-11T21:01:51.9833591Z                         auto tmp150 = tmp149 & tmp147;
2023-01-11T21:01:51.9833684Z                         auto tmp151 = tmp142 + tmp146;
2023-01-11T21:01:51.9833785Z                         auto tmp152 = tmp150 ? tmp151 : tmp142;
2023-01-11T21:01:51.9833900Z                         auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9834000Z                         auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9834095Z                         auto tmp155 = tmp153 == tmp0;
2023-01-11T21:01:51.9834186Z                         auto tmp156 = tmp148 & tmp30;
2023-01-11T21:01:51.9834279Z                         auto tmp157 = tmp156 & tmp155;
2023-01-11T21:01:51.9834371Z                         auto tmp158 = tmp152 + tmp154;
2023-01-11T21:01:51.9834471Z                         auto tmp159 = tmp157 ? tmp158 : tmp152;
2023-01-11T21:01:51.9834583Z                         auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9834694Z                         auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9834775Z                         auto tmp162 = tmp160 == tmp0;
2023-01-11T21:01:51.9834866Z                         auto tmp163 = tmp148 & tmp41;
2023-01-11T21:01:51.9834961Z                         auto tmp164 = tmp163 & tmp162;
2023-01-11T21:01:51.9835055Z                         auto tmp165 = tmp159 + tmp161;
2023-01-11T21:01:51.9835157Z                         auto tmp166 = tmp164 ? tmp165 : tmp159;
2023-01-11T21:01:51.9835271Z                         auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9835382Z                         auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9835463Z                         auto tmp169 = tmp167 == tmp0;
2023-01-11T21:01:51.9835555Z                         auto tmp170 = tmp148 & tmp51;
2023-01-11T21:01:51.9835648Z                         auto tmp171 = tmp170 & tmp169;
2023-01-11T21:01:51.9835741Z                         auto tmp172 = tmp166 + tmp168;
2023-01-11T21:01:51.9835845Z                         auto tmp173 = tmp171 ? tmp172 : tmp166;
2023-01-11T21:01:51.9835957Z                         auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9836068Z                         auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)];
2023-01-11T21:01:51.9836195Z                         auto tmp176 = tmp174 == tmp0;
2023-01-11T21:01:51.9836275Z                         auto tmp177 = tmp148 & tmp61;
2023-01-11T21:01:51.9836441Z                         auto tmp178 = tmp177 & tmp176;
2023-01-11T21:01:51.9836536Z                         auto tmp179 = tmp173 + tmp175;
2023-01-11T21:01:51.9836641Z                         auto tmp180 = tmp178 ? tmp179 : tmp173;
2023-01-11T21:01:51.9836732Z                         auto tmp181 = tmp6 + tmp10;
2023-01-11T21:01:51.9836864Z                         auto tmp182 = (tmp15 != tmp15) ? tmp15 : std::min(tmp181, tmp15);
2023-01-11T21:01:51.9836976Z                         auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9837091Z                         auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9837172Z                         auto tmp185 = tmp183 == tmp0;
2023-01-11T21:01:51.9837265Z                         auto tmp186 = tmp181 < tmp9;
2023-01-11T21:01:51.9837357Z                         auto tmp187 = tmp186 & tmp72;
2023-01-11T21:01:51.9837450Z                         auto tmp188 = tmp187 & tmp185;
2023-01-11T21:01:51.9837545Z                         auto tmp189 = tmp180 + tmp184;
2023-01-11T21:01:51.9837647Z                         auto tmp190 = tmp188 ? tmp189 : tmp180;
2023-01-11T21:01:51.9837759Z                         auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9837859Z                         auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9837952Z                         auto tmp193 = tmp191 == tmp0;
2023-01-11T21:01:51.9838043Z                         auto tmp194 = tmp186 & tmp30;
2023-01-11T21:01:51.9838135Z                         auto tmp195 = tmp194 & tmp193;
2023-01-11T21:01:51.9838228Z                         auto tmp196 = tmp190 + tmp192;
2023-01-11T21:01:51.9838328Z                         auto tmp197 = tmp195 ? tmp196 : tmp190;
2023-01-11T21:01:51.9838442Z                         auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9838553Z                         auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9838636Z                         auto tmp200 = tmp198 == tmp0;
2023-01-11T21:01:51.9838727Z                         auto tmp201 = tmp186 & tmp41;
2023-01-11T21:01:51.9838822Z                         auto tmp202 = tmp201 & tmp200;
2023-01-11T21:01:51.9838915Z                         auto tmp203 = tmp197 + tmp199;
2023-01-11T21:01:51.9839017Z                         auto tmp204 = tmp202 ? tmp203 : tmp197;
2023-01-11T21:01:51.9839130Z                         auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9839241Z                         auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9839321Z                         auto tmp207 = tmp205 == tmp0;
2023-01-11T21:01:51.9839413Z                         auto tmp208 = tmp186 & tmp51;
2023-01-11T21:01:51.9839507Z                         auto tmp209 = tmp208 & tmp207;
2023-01-11T21:01:51.9839600Z                         auto tmp210 = tmp204 + tmp206;
2023-01-11T21:01:51.9839701Z                         auto tmp211 = tmp209 ? tmp210 : tmp204;
2023-01-11T21:01:51.9839815Z                         auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9839927Z                         auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)];
2023-01-11T21:01:51.9840020Z                         auto tmp214 = tmp212 == tmp0;
2023-01-11T21:01:51.9840098Z                         auto tmp215 = tmp186 & tmp61;
2023-01-11T21:01:51.9840191Z                         auto tmp216 = tmp215 & tmp214;
2023-01-11T21:01:51.9840283Z                         auto tmp217 = tmp211 + tmp213;
2023-01-11T21:01:51.9840384Z                         auto tmp218 = tmp216 ? tmp217 : tmp211;
2023-01-11T21:01:51.9840486Z                         out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218;
2023-01-11T21:01:51.9840551Z                     }
2023-01-11T21:01:51.9840642Z                 }
2023-01-11T21:01:51.9840692Z             }
2023-01-11T21:01:51.9840753Z         }
2023-01-11T21:01:51.9840813Z     }
2023-01-11T21:01:51.9840872Z }
2023-01-11T21:01:51.9840972Z ''')
2023-01-11T21:01:51.9840979Z 
2023-01-11T21:01:51.9841009Z 
2023-01-11T21:01:51.9841100Z async_compile.wait(globals())
2023-01-11T21:01:51.9841169Z del async_compile
2023-01-11T21:01:51.9841174Z 
2023-01-11T21:01:51.9841232Z def call(args):
2023-01-11T21:01:51.9841313Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9841382Z     args.clear()
2023-01-11T21:01:51.9841601Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9841764Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9841832Z     del arg0_1
2023-01-11T21:01:51.9841896Z     del arg2_1
2023-01-11T21:01:51.9841952Z     return (buf0, )
2023-01-11T21:01:51.9841971Z 
2023-01-11T21:01:51.9841978Z 
2023-01-11T21:01:51.9842039Z if __name__ == "__main__":
2023-01-11T21:01:51.9842152Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9842273Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9842493Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9842707Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9842914Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9843036Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9843305Z [2023-01-11 20:57:05,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350
2023-01-11T21:01:51.9843310Z 
2023-01-11T21:01:51.9843491Z ok (1.855s)
2023-01-11T21:01:51.9844055Z   test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9844186Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9844447Z [2023-01-11 20:57:05,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351
2023-01-11T21:01:51.9844706Z [2023-01-11 20:57:05,925] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2023-01-11T21:01:51.9844968Z [2023-01-11 20:57:05,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351
2023-01-11T21:01:51.9844974Z 
2023-01-11T21:01:51.9845067Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9845136Z import torch
2023-01-11T21:01:51.9845205Z import random
2023-01-11T21:01:51.9845310Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9845429Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9845435Z 
2023-01-11T21:01:51.9845511Z aten = torch.ops.aten
2023-01-11T21:01:51.9845647Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9845738Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9845743Z 
2023-01-11T21:01:51.9845747Z 
2023-01-11T21:01:51.9845833Z async_compile.wait(globals())
2023-01-11T21:01:51.9845903Z del async_compile
2023-01-11T21:01:51.9845908Z 
2023-01-11T21:01:51.9845977Z def call(args):
2023-01-11T21:01:51.9846045Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9846116Z     args.clear()
2023-01-11T21:01:51.9846269Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2023-01-11T21:01:51.9846335Z     del arg0_1
2023-01-11T21:01:51.9846400Z     del arg1_1
2023-01-11T21:01:51.9846464Z     del arg2_1
2023-01-11T21:01:51.9846583Z     buf1 = buf0
2023-01-11T21:01:51.9846679Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2023-01-11T21:01:51.9846743Z     del buf0
2023-01-11T21:01:51.9846813Z     return (buf1, )
2023-01-11T21:01:51.9846818Z 
2023-01-11T21:01:51.9846857Z 
2023-01-11T21:01:51.9846936Z if __name__ == "__main__":
2023-01-11T21:01:51.9847048Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9847170Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9847393Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9847614Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9847815Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9847935Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9847941Z 
2023-01-11T21:01:51.9848008Z ok (0.052s)
2023-01-11T21:01:51.9848469Z   test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9848595Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9848853Z [2023-01-11 20:57:05,954] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352
2023-01-11T21:01:51.9849117Z [2023-01-11 20:57:07,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352
2023-01-11T21:01:51.9849123Z 
2023-01-11T21:01:51.9849215Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9849284Z import torch
2023-01-11T21:01:51.9849353Z import random
2023-01-11T21:01:51.9849456Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9849575Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9849580Z 
2023-01-11T21:01:51.9849656Z aten = torch.ops.aten
2023-01-11T21:01:51.9849791Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9849881Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9849887Z 
2023-01-11T21:01:51.9849891Z 
2023-01-11T21:01:51.9850022Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9850226Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9850344Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9850435Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9850533Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9850593Z {
2023-01-11T21:01:51.9850668Z     #pragma GCC ivdep
2023-01-11T21:01:51.9850746Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9850808Z     {
2023-01-11T21:01:51.9850872Z         #pragma GCC ivdep
2023-01-11T21:01:51.9850953Z         for(long i1=0; i1<18; i1+=1)
2023-01-11T21:01:51.9851013Z         {
2023-01-11T21:01:51.9851091Z             #pragma GCC ivdep
2023-01-11T21:01:51.9851178Z             for(long i2=0; i2<14; i2+=1)
2023-01-11T21:01:51.9851241Z             {
2023-01-11T21:01:51.9851305Z                 {
2023-01-11T21:01:51.9851356Z                     {
2023-01-11T21:01:51.9851466Z                         auto tmp0 = static_cast<int>(i2 + (14*i1));
2023-01-11T21:01:51.9851572Z                         auto tmp1 = static_cast<int>((i1 / 2));
2023-01-11T21:01:51.9851679Z                         auto tmp2 = static_cast<int>((i2 / 2));
2023-01-11T21:01:51.9851788Z                         auto tmp3 = static_cast<int>(1 + (i1 / 2));
2023-01-11T21:01:51.9851893Z                         auto tmp4 = static_cast<int>(1 + (i2 / 2));
2023-01-11T21:01:51.9851996Z                         auto tmp5 = static_cast<int>(0);
2023-01-11T21:01:51.9852153Z                         auto tmp6 = (tmp5 != tmp5) ? tmp5 : std::max(tmp1, tmp5);
2023-01-11T21:01:51.9852268Z                         auto tmp7 = (tmp5 != tmp5) ? tmp5 : std::max(tmp2, tmp5);
2023-01-11T21:01:51.9852405Z                         auto tmp8 = static_cast<int>(9);
2023-01-11T21:01:51.9852529Z                         auto tmp9 = (tmp8 != tmp8) ? tmp8 : std::min(tmp3, tmp8);
2023-01-11T21:01:51.9852631Z                         auto tmp10 = static_cast<int>(7);
2023-01-11T21:01:51.9852760Z                         auto tmp11 = (tmp10 != tmp10) ? tmp10 : std::min(tmp4, tmp10);
2023-01-11T21:01:51.9852855Z                         auto tmp12 = tmp6 + tmp5;
2023-01-11T21:01:51.9852948Z                         auto tmp13 = tmp7 + tmp5;
2023-01-11T21:01:51.9853048Z                         auto tmp14 = static_cast<int>(1);
2023-01-11T21:01:51.9853178Z                         auto tmp15 = tmp9 - tmp14;
2023-01-11T21:01:51.9853304Z                         auto tmp16 = (tmp15 != tmp15) ? tmp15 : std::min(tmp12, tmp15);
2023-01-11T21:01:51.9853449Z                         auto tmp17 = tmp11 - tmp14;
2023-01-11T21:01:51.9853575Z                         auto tmp18 = (tmp17 != tmp17) ? tmp17 : std::min(tmp13, tmp17);
2023-01-11T21:01:51.9853692Z                         auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)];
2023-01-11T21:01:51.9853804Z                         auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)];
2023-01-11T21:01:51.9853897Z                         auto tmp21 = tmp19 == tmp0;
2023-01-11T21:01:51.9854004Z                         auto tmp22 = static_cast<float>(0.0);
2023-01-11T21:01:51.9854093Z                         auto tmp23 = tmp21 ? tmp20 : tmp22;
2023-01-11T21:01:51.9854193Z                         out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23;
2023-01-11T21:01:51.9854260Z                     }
2023-01-11T21:01:51.9854323Z                 }
2023-01-11T21:01:51.9854385Z             }
2023-01-11T21:01:51.9854446Z         }
2023-01-11T21:01:51.9854505Z     }
2023-01-11T21:01:51.9854553Z }
2023-01-11T21:01:51.9854628Z ''')
2023-01-11T21:01:51.9854634Z 
2023-01-11T21:01:51.9854639Z 
2023-01-11T21:01:51.9854727Z async_compile.wait(globals())
2023-01-11T21:01:51.9854798Z del async_compile
2023-01-11T21:01:51.9854803Z 
2023-01-11T21:01:51.9854872Z def call(args):
2023-01-11T21:01:51.9854953Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:51.9855021Z     args.clear()
2023-01-11T21:01:51.9855228Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9855388Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9855454Z     del arg0_1
2023-01-11T21:01:51.9855519Z     del arg2_1
2023-01-11T21:01:51.9855588Z     return (buf0, )
2023-01-11T21:01:51.9855593Z 
2023-01-11T21:01:51.9855597Z 
2023-01-11T21:01:51.9855671Z if __name__ == "__main__":
2023-01-11T21:01:51.9855782Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9855905Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9856104Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9856321Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9856526Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9856647Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:51.9856653Z 
2023-01-11T21:01:51.9856718Z ok (1.586s)
2023-01-11T21:01:51.9857151Z   test_mean_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9857276Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9857574Z [2023-01-11 20:57:07,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353
2023-01-11T21:01:51.9857861Z [2023-01-11 20:57:09,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353
2023-01-11T21:01:51.9857867Z 
2023-01-11T21:01:51.9857961Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9858017Z import torch
2023-01-11T21:01:51.9858086Z import random
2023-01-11T21:01:51.9858198Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9858318Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9858323Z 
2023-01-11T21:01:51.9858399Z aten = torch.ops.aten
2023-01-11T21:01:51.9858532Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9858621Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9858627Z 
2023-01-11T21:01:51.9858631Z 
2023-01-11T21:01:51.9858750Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9858957Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9859072Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9859174Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:51.9859278Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9859375Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.9859469Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:51.9859527Z {
2023-01-11T21:01:51.9859599Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:51.9859679Z     auto out_ptr0 = in_out_ptr1;
2023-01-11T21:01:51.9859738Z     {
2023-01-11T21:01:51.9859922Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9859996Z         float tmp1 = 0;
2023-01-11T21:01:51.9860111Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:51.9860193Z         for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9860242Z         {
2023-01-11T21:01:51.9860371Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9860449Z             tmp1_vec += tmp0;
2023-01-11T21:01:51.9860511Z         }
2023-01-11T21:01:51.9860705Z         tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:51.9860817Z         #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:51.9860897Z         for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9860958Z         {
2023-01-11T21:01:51.9861028Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9861099Z             tmp1 += tmp0;
2023-01-11T21:01:51.9861161Z         }
2023-01-11T21:01:51.9861235Z         out_ptr0[0] = tmp1;
2023-01-11T21:01:51.9861294Z     }
2023-01-11T21:01:51.9861367Z     #pragma GCC ivdep
2023-01-11T21:01:51.9861432Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9861494Z     {
2023-01-11T21:01:51.9861553Z         {
2023-01-11T21:01:51.9861737Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:51.9861812Z             float tmp1 = 0;
2023-01-11T21:01:51.9861930Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:51.9862011Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9862074Z             {
2023-01-11T21:01:51.9862199Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9862277Z                 tmp1_vec += tmp0;
2023-01-11T21:01:51.9862338Z             }
2023-01-11T21:01:51.9862532Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:51.9862648Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:51.9862730Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9862823Z             {
2023-01-11T21:01:51.9862919Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:51.9862980Z                 tmp1 += tmp0;
2023-01-11T21:01:51.9863042Z             }
2023-01-11T21:01:51.9863146Z             out_ptr1[i0] = tmp1;
2023-01-11T21:01:51.9863209Z         }
2023-01-11T21:01:51.9863268Z     }
2023-01-11T21:01:51.9863344Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.9863391Z     {
2023-01-11T21:01:51.9863520Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9863650Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:51.9863731Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9863820Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9863879Z     }
2023-01-11T21:01:51.9863966Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9864028Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.9864088Z     {
2023-01-11T21:01:51.9864171Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:51.9864266Z         auto tmp1 = static_cast<float>(8);
2023-01-11T21:01:51.9864346Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9864423Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9864483Z     }
2023-01-11T21:01:51.9864546Z     #pragma GCC ivdep
2023-01-11T21:01:51.9864621Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:51.9864679Z     {
2023-01-11T21:01:51.9864759Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:51.9864819Z         {
2023-01-11T21:01:51.9864957Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9865096Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9865235Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9865357Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2023-01-11T21:01:51.9865443Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9865525Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9865605Z             auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9865736Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2023-01-11T21:01:51.9865819Z             auto tmp8 = tmp6 / tmp7;
2023-01-11T21:01:51.9865917Z             tmp8.store(out_ptr2 + (8*i0) + (8*i1));
2023-01-11T21:01:51.9865966Z         }
2023-01-11T21:01:51.9866054Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9866133Z         for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:51.9866194Z         {
2023-01-11T21:01:51.9866286Z             auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:51.9866380Z             auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2023-01-11T21:01:51.9866474Z             auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2023-01-11T21:01:51.9866552Z             auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2023-01-11T21:01:51.9866633Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9866718Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9866798Z             auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9866896Z             auto tmp7 = static_cast<float>(4);
2023-01-11T21:01:51.9866980Z             auto tmp8 = tmp6 / tmp7;
2023-01-11T21:01:51.9867066Z             out_ptr2[i1 + (8*i0)] = tmp8;
2023-01-11T21:01:51.9867114Z         }
2023-01-11T21:01:51.9867175Z     }
2023-01-11T21:01:51.9867253Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9867312Z     {
2023-01-11T21:01:51.9867440Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9867571Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i0));
2023-01-11T21:01:51.9867652Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9867780Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9867848Z         auto tmp4 = tmp2 / tmp3;
2023-01-11T21:01:51.9867932Z         tmp4.store(out_ptr3 + 8*i0);
2023-01-11T21:01:51.9868023Z     }
2023-01-11T21:01:51.9868106Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9868183Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:51.9868243Z     {
2023-01-11T21:01:51.9868309Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9868422Z         auto tmp1 = in_ptr0[32 + i0];
2023-01-11T21:01:51.9868505Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9868600Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.9868680Z         auto tmp4 = tmp2 / tmp3;
2023-01-11T21:01:51.9868755Z         out_ptr3[i0] = tmp4;
2023-01-11T21:01:51.9868814Z     }
2023-01-11T21:01:51.9868860Z     {
2023-01-11T21:01:51.9868920Z         {
2023-01-11T21:01:51.9869002Z             auto tmp0 = out_ptr0[0];
2023-01-11T21:01:51.9869100Z             auto tmp1 = static_cast<float>(64);
2023-01-11T21:01:51.9869180Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9869260Z             in_out_ptr1[0] = tmp2;
2023-01-11T21:01:51.9869320Z         }
2023-01-11T21:01:51.9869366Z     }
2023-01-11T21:01:51.9869427Z }
2023-01-11T21:01:51.9869512Z ''')
2023-01-11T21:01:51.9869518Z 
2023-01-11T21:01:51.9869523Z 
2023-01-11T21:01:51.9869609Z async_compile.wait(globals())
2023-01-11T21:01:51.9869680Z del async_compile
2023-01-11T21:01:51.9869685Z 
2023-01-11T21:01:51.9869755Z def call(args):
2023-01-11T21:01:51.9869823Z     arg0_1, = args
2023-01-11T21:01:51.9869879Z     args.clear()
2023-01-11T21:01:51.9870063Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9870262Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9870345Z     buf2 = buf1; del buf1  # reuse
2023-01-11T21:01:51.9870550Z     buf3 = empty_strided((1, 2, 1, 8), (16, 8, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9870741Z     buf4 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9870823Z     buf5 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9871034Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:51.9871091Z     del arg0_1
2023-01-11T21:01:51.9871178Z     return (buf5, buf2, buf3, buf4, )
2023-01-11T21:01:51.9871183Z 
2023-01-11T21:01:51.9871190Z 
2023-01-11T21:01:51.9871263Z if __name__ == "__main__":
2023-01-11T21:01:51.9871376Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9871497Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9871706Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9871813Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9871818Z 
2023-01-11T21:01:51.9871883Z ok (1.605s)
2023-01-11T21:01:51.9872314Z   test_min_max_reduction_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9872442Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9872702Z [2023-01-11 20:57:09,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354
2023-01-11T21:01:51.9873056Z [2023-01-11 20:57:10,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354
2023-01-11T21:01:51.9873063Z 
2023-01-11T21:01:51.9873157Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9873227Z import torch
2023-01-11T21:01:51.9873295Z import random
2023-01-11T21:01:51.9873409Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9873528Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9873533Z 
2023-01-11T21:01:51.9873598Z aten = torch.ops.aten
2023-01-11T21:01:51.9873730Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9873856Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9873861Z 
2023-01-11T21:01:51.9873866Z 
2023-01-11T21:01:51.9874001Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9874243Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9874365Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9874469Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9874568Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9874649Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9874741Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:51.9874800Z {
2023-01-11T21:01:51.9874859Z     {
2023-01-11T21:01:51.9875228Z         #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:51.9875446Z         float tmp3 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9875563Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:51.9875807Z         #pragma omp declare reduction(min:at::vec::Vectorized<float>:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:51.9875927Z         float tmp4 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9876028Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2023-01-11T21:01:51.9876218Z         float tmp7 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:51.9876330Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:51.9876413Z         for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9876476Z         {
2023-01-11T21:01:51.9876607Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9876737Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9876824Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9876941Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9877026Z             auto tmp6 = tmp0 + tmp5;
2023-01-11T21:01:51.9877139Z             tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2023-01-11T21:01:51.9877249Z             tmp4_vec = at::vec::minimum(tmp4_vec, tmp2);
2023-01-11T21:01:51.9877357Z             tmp7_vec = at::vec::maximum(tmp7_vec, tmp6);
2023-01-11T21:01:51.9877418Z         }
2023-01-11T21:01:51.9877629Z         tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2023-01-11T21:01:51.9877836Z         tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::minimum(x, y);}, tmp4_vec);
2023-01-11T21:01:51.9878034Z         tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2023-01-11T21:01:51.9878197Z         #pragma omp simd simdlen(4)  reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7)
2023-01-11T21:01:51.9878270Z         for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9878333Z         {
2023-01-11T21:01:51.9878417Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9878498Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:51.9878578Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9878676Z             auto tmp5 = static_cast<float>(1);
2023-01-11T21:01:51.9878758Z             auto tmp6 = tmp0 + tmp5;
2023-01-11T21:01:51.9878835Z             tmp3 = std::max(tmp3, tmp2);
2023-01-11T21:01:51.9878923Z             tmp4 = std::min(tmp4, tmp2);
2023-01-11T21:01:51.9879010Z             tmp7 = std::max(tmp7, tmp6);
2023-01-11T21:01:51.9879071Z         }
2023-01-11T21:01:51.9879147Z         out_ptr0[0] = tmp3;
2023-01-11T21:01:51.9879222Z         out_ptr1[0] = tmp4;
2023-01-11T21:01:51.9879312Z         out_ptr2[0] = tmp7;
2023-01-11T21:01:51.9879371Z     }
2023-01-11T21:01:51.9879430Z }
2023-01-11T21:01:51.9879508Z ''')
2023-01-11T21:01:51.9879514Z 
2023-01-11T21:01:51.9879518Z 
2023-01-11T21:01:51.9879632Z async_compile.wait(globals())
2023-01-11T21:01:51.9879705Z del async_compile
2023-01-11T21:01:51.9879711Z 
2023-01-11T21:01:51.9879779Z def call(args):
2023-01-11T21:01:51.9879853Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9879910Z     args.clear()
2023-01-11T21:01:51.9880096Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9880274Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9880465Z     buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9880676Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.9880746Z     del arg0_1
2023-01-11T21:01:51.9880811Z     del arg1_1
2023-01-11T21:01:51.9880880Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:51.9880897Z 
2023-01-11T21:01:51.9880902Z 
2023-01-11T21:01:51.9880964Z if __name__ == "__main__":
2023-01-11T21:01:51.9881079Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9881207Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9881402Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9881595Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9881708Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9881713Z 
2023-01-11T21:01:51.9881778Z ok (1.575s)
2023-01-11T21:01:51.9882231Z   test_misaligned_address_issue1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9882358Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9882608Z [2023-01-11 20:57:10,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355
2023-01-11T21:01:51.9882871Z [2023-01-11 20:57:12,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355
2023-01-11T21:01:51.9882877Z 
2023-01-11T21:01:51.9882969Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9883040Z import torch
2023-01-11T21:01:51.9883109Z import random
2023-01-11T21:01:51.9883222Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9883341Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9883346Z 
2023-01-11T21:01:51.9883575Z aten = torch.ops.aten
2023-01-11T21:01:51.9883733Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9883828Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9883834Z 
2023-01-11T21:01:51.9883838Z 
2023-01-11T21:01:51.9883979Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9884185Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9884304Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9884407Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9884505Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9884553Z {
2023-01-11T21:01:51.9884612Z     {
2023-01-11T21:01:51.9884673Z         {
2023-01-11T21:01:51.9884756Z             auto tmp0 = in_ptr0[0];
2023-01-11T21:01:51.9884841Z             auto tmp1 = in_ptr1[tmp0];
2023-01-11T21:01:51.9884919Z             out_ptr0[0] = tmp1;
2023-01-11T21:01:51.9884979Z         }
2023-01-11T21:01:51.9885027Z     }
2023-01-11T21:01:51.9885086Z }
2023-01-11T21:01:51.9885227Z ''')
2023-01-11T21:01:51.9885233Z 
2023-01-11T21:01:51.9885237Z 
2023-01-11T21:01:51.9885324Z async_compile.wait(globals())
2023-01-11T21:01:51.9885395Z del async_compile
2023-01-11T21:01:51.9885400Z 
2023-01-11T21:01:51.9885468Z def call(args):
2023-01-11T21:01:51.9885577Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9885637Z     args.clear()
2023-01-11T21:01:51.9885834Z     buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9885996Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9886063Z     del arg0_1
2023-01-11T21:01:51.9886128Z     del arg1_1
2023-01-11T21:01:51.9886197Z     return (buf0, )
2023-01-11T21:01:51.9886203Z 
2023-01-11T21:01:51.9886207Z 
2023-01-11T21:01:51.9886280Z if __name__ == "__main__":
2023-01-11T21:01:51.9886392Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9886501Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9886707Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9886894Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9887009Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9887014Z 
2023-01-11T21:01:51.9887080Z ok (1.524s)
2023-01-11T21:01:51.9887512Z   test_mm_views_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9887638Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9887896Z [2023-01-11 20:57:12,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356
2023-01-11T21:01:51.9888158Z [2023-01-11 20:57:12,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356
2023-01-11T21:01:51.9888163Z 
2023-01-11T21:01:51.9888255Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9888311Z import torch
2023-01-11T21:01:51.9888433Z import random
2023-01-11T21:01:51.9888545Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9888664Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9888670Z 
2023-01-11T21:01:51.9888746Z aten = torch.ops.aten
2023-01-11T21:01:51.9888877Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9888966Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9888972Z 
2023-01-11T21:01:51.9888976Z 
2023-01-11T21:01:51.9889049Z async_compile.wait(globals())
2023-01-11T21:01:51.9889122Z del async_compile
2023-01-11T21:01:51.9889128Z 
2023-01-11T21:01:51.9889196Z def call(args):
2023-01-11T21:01:51.9889270Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9889338Z     args.clear()
2023-01-11T21:01:51.9889537Z     buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9889658Z     aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0)
2023-01-11T21:01:51.9889724Z     del arg0_1
2023-01-11T21:01:51.9889779Z     del arg1_1
2023-01-11T21:01:51.9889849Z     return (buf0, )
2023-01-11T21:01:51.9889854Z 
2023-01-11T21:01:51.9889858Z 
2023-01-11T21:01:51.9889932Z if __name__ == "__main__":
2023-01-11T21:01:51.9890042Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9890162Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9890360Z     arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9890566Z     arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9890667Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9890685Z 
2023-01-11T21:01:51.9890736Z ok (0.027s)
2023-01-11T21:01:51.9891243Z   test_move_arange_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9891370Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9891626Z [2023-01-11 20:57:12,281] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357
2023-01-11T21:01:51.9891887Z [2023-01-11 20:57:13,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357
2023-01-11T21:01:51.9891893Z 
2023-01-11T21:01:51.9891983Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9892052Z import torch
2023-01-11T21:01:51.9892121Z import random
2023-01-11T21:01:51.9892222Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9892343Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9892348Z 
2023-01-11T21:01:51.9892424Z aten = torch.ops.aten
2023-01-11T21:01:51.9892555Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9892648Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9892653Z 
2023-01-11T21:01:51.9892658Z 
2023-01-11T21:01:51.9892789Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9892992Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9893109Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9893208Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9893255Z {
2023-01-11T21:01:51.9893330Z     #pragma GCC ivdep
2023-01-11T21:01:51.9893410Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.9893470Z     {
2023-01-11T21:01:51.9893531Z         {
2023-01-11T21:01:51.9893593Z             {
2023-01-11T21:01:51.9893671Z                 auto tmp2 = in_ptr0[i0];
2023-01-11T21:01:51.9893771Z                 auto tmp0 = static_cast<long>(i0);
2023-01-11T21:01:51.9893874Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:51.9893961Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9894043Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:51.9894108Z             }
2023-01-11T21:01:51.9894168Z         }
2023-01-11T21:01:51.9894215Z     }
2023-01-11T21:01:51.9894275Z }
2023-01-11T21:01:51.9894354Z ''')
2023-01-11T21:01:51.9894359Z 
2023-01-11T21:01:51.9894363Z 
2023-01-11T21:01:51.9894450Z async_compile.wait(globals())
2023-01-11T21:01:51.9894520Z del async_compile
2023-01-11T21:01:51.9894525Z 
2023-01-11T21:01:51.9894593Z def call(args):
2023-01-11T21:01:51.9894661Z     arg0_1, = args
2023-01-11T21:01:51.9894717Z     args.clear()
2023-01-11T21:01:51.9894906Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9895035Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9895103Z     del arg0_1
2023-01-11T21:01:51.9895172Z     return (buf0, )
2023-01-11T21:01:51.9895177Z 
2023-01-11T21:01:51.9895181Z 
2023-01-11T21:01:51.9895254Z if __name__ == "__main__":
2023-01-11T21:01:51.9895366Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9895490Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9895670Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9895777Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9895782Z 
2023-01-11T21:01:51.9895847Z ok (1.527s)
2023-01-11T21:01:51.9895985Z   test_multi_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2023-01-11T21:01:51.9896147Z   test_multi_gpu_device_cpu (__main__.CpuTests) ... skip: requires multiple cuda devices (0.000s)
2023-01-11T21:01:51.9896290Z   test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s)
2023-01-11T21:01:51.9896465Z   test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s)
2023-01-11T21:01:51.9897002Z   test_narrow_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9897142Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9897395Z [2023-01-11 20:57:13,815] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358
2023-01-11T21:01:51.9897660Z [2023-01-11 20:57:15,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358
2023-01-11T21:01:51.9897666Z 
2023-01-11T21:01:51.9897758Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9897827Z import torch
2023-01-11T21:01:51.9897899Z import random
2023-01-11T21:01:51.9898013Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9898131Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9898137Z 
2023-01-11T21:01:51.9898215Z aten = torch.ops.aten
2023-01-11T21:01:51.9898334Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9898425Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9898430Z 
2023-01-11T21:01:51.9898434Z 
2023-01-11T21:01:51.9898565Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9898766Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9898884Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9898981Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9899041Z {
2023-01-11T21:01:51.9899121Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:51.9899168Z     {
2023-01-11T21:01:51.9899309Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 640 + (8*i0));
2023-01-11T21:01:51.9899441Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9899522Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9899650Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9899731Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9899817Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9899864Z     }
2023-01-11T21:01:51.9899950Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9900031Z     for(long i0=1024; i0<1024; i0+=1)
2023-01-11T21:01:51.9900090Z     {
2023-01-11T21:01:51.9900171Z         auto tmp0 = in_ptr0[640 + i0];
2023-01-11T21:01:51.9900264Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:51.9900342Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9900423Z         auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:51.9900502Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9900583Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.9900642Z     }
2023-01-11T21:01:51.9900700Z }
2023-01-11T21:01:51.9900776Z ''')
2023-01-11T21:01:51.9900782Z 
2023-01-11T21:01:51.9900786Z 
2023-01-11T21:01:51.9900871Z async_compile.wait(globals())
2023-01-11T21:01:51.9900932Z del async_compile
2023-01-11T21:01:51.9900949Z 
2023-01-11T21:01:51.9901006Z def call(args):
2023-01-11T21:01:51.9901073Z     arg0_1, = args
2023-01-11T21:01:51.9901141Z     args.clear()
2023-01-11T21:01:51.9901337Z     buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9901469Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9901574Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2023-01-11T21:01:51.9901579Z 
2023-01-11T21:01:51.9901584Z 
2023-01-11T21:01:51.9901658Z if __name__ == "__main__":
2023-01-11T21:01:51.9901757Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9901878Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9902112Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9902218Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9902223Z 
2023-01-11T21:01:51.9902316Z ok (1.570s)
2023-01-11T21:01:51.9902763Z   test_new_empty_strided_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9902888Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9903149Z [2023-01-11 20:57:15,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359
2023-01-11T21:01:51.9903412Z [2023-01-11 20:57:16,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359
2023-01-11T21:01:51.9903421Z 
2023-01-11T21:01:51.9903514Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9903571Z import torch
2023-01-11T21:01:51.9903640Z import random
2023-01-11T21:01:51.9903754Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9903873Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9903878Z 
2023-01-11T21:01:51.9903953Z aten = torch.ops.aten
2023-01-11T21:01:51.9904085Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9904174Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9904179Z 
2023-01-11T21:01:51.9904183Z 
2023-01-11T21:01:51.9904302Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9904504Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9904615Z extern "C" void kernel(float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9904674Z {
2023-01-11T21:01:51.9904754Z     for(long i0=0; i0<2048; i0+=1)
2023-01-11T21:01:51.9904816Z     {
2023-01-11T21:01:51.9904950Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(123));
2023-01-11T21:01:51.9905037Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9905085Z     }
2023-01-11T21:01:51.9905172Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9905254Z     for(long i0=16384; i0<16384; i0+=1)
2023-01-11T21:01:51.9905313Z     {
2023-01-11T21:01:51.9905410Z         auto tmp0 = static_cast<float>(123);
2023-01-11T21:01:51.9905486Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.9905533Z     }
2023-01-11T21:01:51.9905591Z }
2023-01-11T21:01:51.9905666Z ''')
2023-01-11T21:01:51.9905672Z 
2023-01-11T21:01:51.9905676Z 
2023-01-11T21:01:51.9905762Z async_compile.wait(globals())
2023-01-11T21:01:51.9905833Z del async_compile
2023-01-11T21:01:51.9905838Z 
2023-01-11T21:01:51.9905906Z def call(args):
2023-01-11T21:01:51.9905973Z     arg0_1, = args
2023-01-11T21:01:51.9906042Z     args.clear()
2023-01-11T21:01:51.9906244Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9906345Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9906415Z     return (buf0, )
2023-01-11T21:01:51.9906421Z 
2023-01-11T21:01:51.9906426Z 
2023-01-11T21:01:51.9906500Z if __name__ == "__main__":
2023-01-11T21:01:51.9906611Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9906732Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9906924Z     arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9907017Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9907035Z 
2023-01-11T21:01:51.9907087Z ok (1.567s)
2023-01-11T21:01:51.9907523Z   test_new_ones_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9907682Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9907966Z [2023-01-11 20:57:16,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360
2023-01-11T21:01:51.9908231Z [2023-01-11 20:57:18,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360
2023-01-11T21:01:51.9908237Z 
2023-01-11T21:01:51.9908329Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9908398Z import torch
2023-01-11T21:01:51.9908466Z import random
2023-01-11T21:01:51.9908567Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9908686Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9908691Z 
2023-01-11T21:01:51.9908768Z aten = torch.ops.aten
2023-01-11T21:01:51.9908901Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9908994Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9909000Z 
2023-01-11T21:01:51.9909004Z 
2023-01-11T21:01:51.9909135Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9909339Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9909452Z extern "C" void kernel(float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9909549Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9909596Z {
2023-01-11T21:01:51.9909656Z     {
2023-01-11T21:01:51.9909718Z         {
2023-01-11T21:01:51.9909817Z             auto tmp0 = static_cast<float>(1);
2023-01-11T21:01:51.9909894Z             out_ptr0[0] = tmp0;
2023-01-11T21:01:51.9909956Z         }
2023-01-11T21:01:51.9910002Z     }
2023-01-11T21:01:51.9910062Z     {
2023-01-11T21:01:51.9910122Z         {
2023-01-11T21:01:51.9910218Z             auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:51.9910293Z             out_ptr1[0] = tmp0;
2023-01-11T21:01:51.9910357Z         }
2023-01-11T21:01:51.9910415Z     }
2023-01-11T21:01:51.9910460Z }
2023-01-11T21:01:51.9910535Z ''')
2023-01-11T21:01:51.9910541Z 
2023-01-11T21:01:51.9910545Z 
2023-01-11T21:01:51.9910631Z async_compile.wait(globals())
2023-01-11T21:01:51.9910705Z del async_compile
2023-01-11T21:01:51.9910710Z 
2023-01-11T21:01:51.9910779Z def call(args):
2023-01-11T21:01:51.9910846Z     arg0_1, = args
2023-01-11T21:01:51.9910915Z     args.clear()
2023-01-11T21:01:51.9911087Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9911263Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9911393Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9911469Z     return (buf0, buf1, )
2023-01-11T21:01:51.9911474Z 
2023-01-11T21:01:51.9911479Z 
2023-01-11T21:01:51.9911553Z if __name__ == "__main__":
2023-01-11T21:01:51.9911665Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9911789Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9911977Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9912070Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9912075Z 
2023-01-11T21:01:51.9912141Z ok (1.574s)
2023-01-11T21:01:51.9912581Z   test_nll_loss_forward_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9912706Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9913036Z [2023-01-11 20:57:18,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361
2023-01-11T21:01:51.9913301Z [2023-01-11 20:57:20,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361
2023-01-11T21:01:51.9913338Z 
2023-01-11T21:01:51.9913432Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9913501Z import torch
2023-01-11T21:01:51.9913570Z import random
2023-01-11T21:01:51.9913715Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9913837Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9913842Z 
2023-01-11T21:01:51.9913919Z aten = torch.ops.aten
2023-01-11T21:01:51.9914051Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9914142Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9914147Z 
2023-01-11T21:01:51.9914152Z 
2023-01-11T21:01:51.9914283Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9914486Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9914602Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9914694Z                        const long* __restrict__ in_ptr0,
2023-01-11T21:01:51.9914801Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9914899Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9914962Z {
2023-01-11T21:01:51.9915047Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:51.9915107Z     {
2023-01-11T21:01:51.9915168Z         {
2023-01-11T21:01:51.9915231Z             float tmp3 = 0;
2023-01-11T21:01:51.9915313Z             for(long i0=0; i0<5; i0+=1)
2023-01-11T21:01:51.9915376Z             {
2023-01-11T21:01:51.9915439Z                 {
2023-01-11T21:01:51.9915530Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9915630Z                     auto tmp1 = in_ptr1[tmp0 + (5*i0)];
2023-01-11T21:01:51.9915750Z                     auto tmp2 = -tmp1;
2023-01-11T21:01:51.9915814Z                     tmp3 += tmp2;
2023-01-11T21:01:51.9915878Z                 }
2023-01-11T21:01:51.9915939Z             }
2023-01-11T21:01:51.9916017Z             out_ptr0[0] = tmp3;
2023-01-11T21:01:51.9916079Z         }
2023-01-11T21:01:51.9916138Z     }
2023-01-11T21:01:51.9916197Z     {
2023-01-11T21:01:51.9916245Z         {
2023-01-11T21:01:51.9916328Z             auto tmp0 = out_ptr0[0];
2023-01-11T21:01:51.9916428Z             auto tmp1 = static_cast<float>(5);
2023-01-11T21:01:51.9916511Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:51.9916590Z             in_out_ptr0[0] = tmp2;
2023-01-11T21:01:51.9916652Z         }
2023-01-11T21:01:51.9916699Z     }
2023-01-11T21:01:51.9916757Z     {
2023-01-11T21:01:51.9916817Z         {
2023-01-11T21:01:51.9916917Z             auto tmp0 = static_cast<float>(5.0);
2023-01-11T21:01:51.9916993Z             out_ptr1[0] = tmp0;
2023-01-11T21:01:51.9917053Z         }
2023-01-11T21:01:51.9917111Z     }
2023-01-11T21:01:51.9917157Z }
2023-01-11T21:01:51.9917233Z ''')
2023-01-11T21:01:51.9917238Z 
2023-01-11T21:01:51.9917242Z 
2023-01-11T21:01:51.9917329Z async_compile.wait(globals())
2023-01-11T21:01:51.9917400Z del async_compile
2023-01-11T21:01:51.9917407Z 
2023-01-11T21:01:51.9917475Z def call(args):
2023-01-11T21:01:51.9917547Z     arg0_1, arg1_1 = args
2023-01-11T21:01:51.9917617Z     args.clear()
2023-01-11T21:01:51.9917789Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9917872Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9918050Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9918238Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:51.9918304Z     del arg0_1
2023-01-11T21:01:51.9918369Z     del arg1_1
2023-01-11T21:01:51.9918445Z     return (buf1, buf2, )
2023-01-11T21:01:51.9918450Z 
2023-01-11T21:01:51.9918455Z 
2023-01-11T21:01:51.9918528Z if __name__ == "__main__":
2023-01-11T21:01:51.9918627Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9918747Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9918973Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9919160Z     arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:51.9919302Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:51.9919308Z 
2023-01-11T21:01:51.9919374Z ok (1.585s)
2023-01-11T21:01:51.9919831Z   test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9919959Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9920216Z [2023-01-11 20:57:20,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362
2023-01-11T21:01:51.9920224Z 
2023-01-11T21:01:51.9920304Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9920372Z import torch
2023-01-11T21:01:51.9920441Z import random
2023-01-11T21:01:51.9920554Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9920675Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9920680Z 
2023-01-11T21:01:51.9920756Z aten = torch.ops.aten
2023-01-11T21:01:51.9920887Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9920963Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9920981Z 
2023-01-11T21:01:51.9920985Z 
2023-01-11T21:01:51.9921103Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9921306Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9921421Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:51.9921524Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9921629Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:51.9921736Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:51.9921837Z                        const float* __restrict__ in_ptr3,
2023-01-11T21:01:51.9921938Z                        const float* __restrict__ in_ptr4,
2023-01-11T21:01:51.9922024Z                        const float* __restrict__ in_ptr5,
2023-01-11T21:01:51.9922122Z                        const float* __restrict__ in_ptr6,
2023-01-11T21:01:51.9922220Z                        const float* __restrict__ in_ptr7,
2023-01-11T21:01:51.9922318Z                        const float* __restrict__ in_ptr8,
2023-01-11T21:01:51.9922416Z                        const float* __restrict__ in_ptr9,
2023-01-11T21:01:51.9922523Z                        const float* __restrict__ in_ptr10,
2023-01-11T21:01:51.9922626Z                        const float* __restrict__ in_ptr11,
2023-01-11T21:01:51.9922715Z                        const float* __restrict__ in_ptr12,
2023-01-11T21:01:51.9922819Z                        const float* __restrict__ in_ptr13,
2023-01-11T21:01:51.9922919Z                        const float* __restrict__ in_ptr14,
2023-01-11T21:01:51.9923018Z                        const float* __restrict__ in_ptr15,
2023-01-11T21:01:51.9923121Z                        const float* __restrict__ in_ptr16,
2023-01-11T21:01:51.9923220Z                        const float* __restrict__ in_ptr17,
2023-01-11T21:01:51.9923318Z                        const float* __restrict__ in_ptr18,
2023-01-11T21:01:51.9923602Z                        const float* __restrict__ in_ptr19,
2023-01-11T21:01:51.9923724Z                        const float* __restrict__ in_ptr20,
2023-01-11T21:01:51.9923825Z                        const float* __restrict__ in_ptr21,
2023-01-11T21:01:51.9923924Z                        const float* __restrict__ in_ptr22,
2023-01-11T21:01:51.9924021Z                        const float* __restrict__ in_ptr23,
2023-01-11T21:01:51.9924120Z                        const float* __restrict__ in_ptr24,
2023-01-11T21:01:51.9924307Z                        const float* __restrict__ in_ptr25,
2023-01-11T21:01:51.9924406Z                        const float* __restrict__ in_ptr26,
2023-01-11T21:01:51.9924526Z                        const float* __restrict__ in_ptr27,
2023-01-11T21:01:51.9924626Z                        const float* __restrict__ in_ptr28,
2023-01-11T21:01:51.9924723Z                        const float* __restrict__ in_ptr29,
2023-01-11T21:01:51.9924822Z                        const float* __restrict__ in_ptr30,
2023-01-11T21:01:51.9924921Z                        const float* __restrict__ in_ptr31,
2023-01-11T21:01:51.9925022Z                        const float* __restrict__ in_ptr32,
2023-01-11T21:01:51.9925124Z                        const float* __restrict__ in_ptr33,
2023-01-11T21:01:51.9925226Z                        const float* __restrict__ in_ptr34,
2023-01-11T21:01:51.9925313Z                        const float* __restrict__ in_ptr35,
2023-01-11T21:01:51.9925410Z                        const float* __restrict__ in_ptr36,
2023-01-11T21:01:51.9925512Z                        const float* __restrict__ in_ptr37,
2023-01-11T21:01:51.9925610Z                        const float* __restrict__ in_ptr38,
2023-01-11T21:01:51.9925713Z                        const float* __restrict__ in_ptr39,
2023-01-11T21:01:51.9925812Z                        const float* __restrict__ in_ptr40,
2023-01-11T21:01:51.9925912Z                        const float* __restrict__ in_ptr41,
2023-01-11T21:01:51.9925998Z                        const float* __restrict__ in_ptr42,
2023-01-11T21:01:51.9926095Z                        const float* __restrict__ in_ptr43,
2023-01-11T21:01:51.9926194Z                        const float* __restrict__ in_ptr44,
2023-01-11T21:01:51.9926291Z                        const float* __restrict__ in_ptr45,
2023-01-11T21:01:51.9926392Z                        const float* __restrict__ in_ptr46,
2023-01-11T21:01:51.9926490Z                        const float* __restrict__ in_ptr47,
2023-01-11T21:01:51.9926590Z                        const float* __restrict__ in_ptr48,
2023-01-11T21:01:51.9926689Z                        const float* __restrict__ in_ptr49)
2023-01-11T21:01:51.9926736Z {
2023-01-11T21:01:51.9926822Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:51.9926902Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9926962Z     {
2023-01-11T21:01:51.9927098Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9927226Z         auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:51.9927352Z         auto tmp4 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2023-01-11T21:01:51.9927464Z         auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr3 + 8*i0);
2023-01-11T21:01:51.9927589Z         auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i0);
2023-01-11T21:01:51.9927716Z         auto tmp10 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i0);
2023-01-11T21:01:51.9927843Z         auto tmp12 = at::vec::Vectorized<float>::loadu(in_ptr6 + 8*i0);
2023-01-11T21:01:51.9927971Z         auto tmp14 = at::vec::Vectorized<float>::loadu(in_ptr7 + 8*i0);
2023-01-11T21:01:51.9928096Z         auto tmp16 = at::vec::Vectorized<float>::loadu(in_ptr8 + 8*i0);
2023-01-11T21:01:51.9928180Z         auto tmp1 = tmp0 + tmp0;
2023-01-11T21:01:51.9928260Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9928326Z         auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.9928404Z         auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:51.9928482Z         auto tmp9 = tmp7 + tmp8;
2023-01-11T21:01:51.9928564Z         auto tmp11 = tmp9 + tmp10;
2023-01-11T21:01:51.9928646Z         auto tmp13 = tmp11 + tmp12;
2023-01-11T21:01:51.9928725Z         auto tmp15 = tmp13 + tmp14;
2023-01-11T21:01:51.9928804Z         auto tmp17 = tmp15 + tmp16;
2023-01-11T21:01:51.9928879Z         tmp17.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9928943Z     }
2023-01-11T21:01:51.9929028Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9929107Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9929196Z     {
2023-01-11T21:01:51.9929274Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9929352Z         auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:51.9929416Z         auto tmp4 = in_ptr2[i0];
2023-01-11T21:01:51.9929521Z         auto tmp6 = in_ptr3[i0];
2023-01-11T21:01:51.9929602Z         auto tmp8 = in_ptr4[i0];
2023-01-11T21:01:51.9929682Z         auto tmp10 = in_ptr5[i0];
2023-01-11T21:01:51.9929760Z         auto tmp12 = in_ptr6[i0];
2023-01-11T21:01:51.9929838Z         auto tmp14 = in_ptr7[i0];
2023-01-11T21:01:51.9929915Z         auto tmp16 = in_ptr8[i0];
2023-01-11T21:01:51.9929981Z         auto tmp1 = tmp0 + tmp0;
2023-01-11T21:01:51.9930059Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:51.9930136Z         auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:51.9930212Z         auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:51.9930289Z         auto tmp9 = tmp7 + tmp8;
2023-01-11T21:01:51.9930370Z         auto tmp11 = tmp9 + tmp10;
2023-01-11T21:01:51.9930452Z         auto tmp13 = tmp11 + tmp12;
2023-01-11T21:01:51.9930521Z         auto tmp15 = tmp13 + tmp14;
2023-01-11T21:01:51.9930600Z         auto tmp17 = tmp15 + tmp16;
2023-01-11T21:01:51.9930677Z         out_ptr0[i0] = tmp17;
2023-01-11T21:01:51.9930736Z     }
2023-01-11T21:01:51.9930815Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9930875Z     {
2023-01-11T21:01:51.9931002Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9931118Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr9 + 8*i0);
2023-01-11T21:01:51.9931241Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr10 + 8*i0);
2023-01-11T21:01:51.9931366Z         auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr11 + 8*i0);
2023-01-11T21:01:51.9931485Z         auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr12 + 8*i0);
2023-01-11T21:01:51.9931608Z         auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr13 + 8*i0);
2023-01-11T21:01:51.9931736Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr14 + 8*i0);
2023-01-11T21:01:51.9931865Z         auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr15 + 8*i0);
2023-01-11T21:01:51.9931992Z         auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr16 + 8*i0);
2023-01-11T21:01:51.9932074Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9932142Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9932220Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9932298Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9932378Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9932459Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9932539Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9932606Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9932698Z         tmp16.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9932757Z     }
2023-01-11T21:01:51.9932842Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9932921Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9932980Z     {
2023-01-11T21:01:51.9933062Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:51.9933127Z         auto tmp1 = in_ptr9[i0];
2023-01-11T21:01:51.9933207Z         auto tmp3 = in_ptr10[i0];
2023-01-11T21:01:51.9933285Z         auto tmp5 = in_ptr11[i0];
2023-01-11T21:01:51.9933364Z         auto tmp7 = in_ptr12[i0];
2023-01-11T21:01:51.9933442Z         auto tmp9 = in_ptr13[i0];
2023-01-11T21:01:51.9933523Z         auto tmp11 = in_ptr14[i0];
2023-01-11T21:01:51.9933604Z         auto tmp13 = in_ptr15[i0];
2023-01-11T21:01:51.9933671Z         auto tmp15 = in_ptr16[i0];
2023-01-11T21:01:51.9933750Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9933830Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9933907Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9933985Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9934063Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9934143Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9934210Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9934288Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9934394Z         in_out_ptr0[i0] = tmp16;
2023-01-11T21:01:51.9934455Z     }
2023-01-11T21:01:51.9934530Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9934590Z     {
2023-01-11T21:01:51.9934749Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9934865Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr17 + 8*i0);
2023-01-11T21:01:51.9934989Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr18 + 8*i0);
2023-01-11T21:01:51.9935113Z         auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr19 + 8*i0);
2023-01-11T21:01:51.9935238Z         auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr20 + 8*i0);
2023-01-11T21:01:51.9935360Z         auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr21 + 8*i0);
2023-01-11T21:01:51.9935487Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr22 + 8*i0);
2023-01-11T21:01:51.9935612Z         auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr23 + 8*i0);
2023-01-11T21:01:51.9935739Z         auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr24 + 8*i0);
2023-01-11T21:01:51.9935820Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9935886Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9935965Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9936042Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9936123Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9936204Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9936285Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9936368Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9936447Z         tmp16.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9936507Z     }
2023-01-11T21:01:51.9936591Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9936668Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9936727Z     {
2023-01-11T21:01:51.9936813Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9936881Z         auto tmp1 = in_ptr17[i0];
2023-01-11T21:01:51.9936963Z         auto tmp3 = in_ptr18[i0];
2023-01-11T21:01:51.9937041Z         auto tmp5 = in_ptr19[i0];
2023-01-11T21:01:51.9937118Z         auto tmp7 = in_ptr20[i0];
2023-01-11T21:01:51.9937196Z         auto tmp9 = in_ptr21[i0];
2023-01-11T21:01:51.9937280Z         auto tmp11 = in_ptr22[i0];
2023-01-11T21:01:51.9937361Z         auto tmp13 = in_ptr23[i0];
2023-01-11T21:01:51.9937428Z         auto tmp15 = in_ptr24[i0];
2023-01-11T21:01:51.9937507Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9937586Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9937665Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9937743Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9937821Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9937901Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9937969Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9938047Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9938125Z         in_out_ptr0[i0] = tmp16;
2023-01-11T21:01:51.9938186Z     }
2023-01-11T21:01:51.9938262Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9938321Z     {
2023-01-11T21:01:51.9938454Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9938568Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr25 + 8*i0);
2023-01-11T21:01:51.9938692Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr26 + 8*i0);
2023-01-11T21:01:51.9938815Z         auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr27 + 8*i0);
2023-01-11T21:01:51.9938938Z         auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr28 + 8*i0);
2023-01-11T21:01:51.9939060Z         auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr29 + 8*i0);
2023-01-11T21:01:51.9939188Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr30 + 8*i0);
2023-01-11T21:01:51.9939311Z         auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr31 + 8*i0);
2023-01-11T21:01:51.9939436Z         auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr32 + 8*i0);
2023-01-11T21:01:51.9939550Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9939617Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9939696Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9939775Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9939881Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9939964Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9940043Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9940122Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9940202Z         tmp16.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9940262Z     }
2023-01-11T21:01:51.9940347Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9940424Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9940485Z     {
2023-01-11T21:01:51.9940569Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9940636Z         auto tmp1 = in_ptr25[i0];
2023-01-11T21:01:51.9940716Z         auto tmp3 = in_ptr26[i0];
2023-01-11T21:01:51.9940795Z         auto tmp5 = in_ptr27[i0];
2023-01-11T21:01:51.9940875Z         auto tmp7 = in_ptr28[i0];
2023-01-11T21:01:51.9940953Z         auto tmp9 = in_ptr29[i0];
2023-01-11T21:01:51.9941035Z         auto tmp11 = in_ptr30[i0];
2023-01-11T21:01:51.9941116Z         auto tmp13 = in_ptr31[i0];
2023-01-11T21:01:51.9941185Z         auto tmp15 = in_ptr32[i0];
2023-01-11T21:01:51.9941264Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9941343Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9941422Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9941499Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9941578Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9941658Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9941726Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9941805Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9941881Z         in_out_ptr0[i0] = tmp16;
2023-01-11T21:01:51.9941941Z     }
2023-01-11T21:01:51.9942017Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9942076Z     {
2023-01-11T21:01:51.9942211Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9942323Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr33 + 8*i0);
2023-01-11T21:01:51.9942451Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr34 + 8*i0);
2023-01-11T21:01:51.9942571Z         auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr35 + 8*i0);
2023-01-11T21:01:51.9942695Z         auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr36 + 8*i0);
2023-01-11T21:01:51.9942816Z         auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr37 + 8*i0);
2023-01-11T21:01:51.9942941Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr38 + 8*i0);
2023-01-11T21:01:51.9943065Z         auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr39 + 8*i0);
2023-01-11T21:01:51.9943189Z         auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr40 + 8*i0);
2023-01-11T21:01:51.9943270Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9943337Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9943418Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9943496Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9943576Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9943657Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9943739Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9943817Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9943896Z         tmp16.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9943957Z     }
2023-01-11T21:01:51.9944041Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9944120Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9944179Z     {
2023-01-11T21:01:51.9944265Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9944345Z         auto tmp1 = in_ptr33[i0];
2023-01-11T21:01:51.9944412Z         auto tmp3 = in_ptr34[i0];
2023-01-11T21:01:51.9944492Z         auto tmp5 = in_ptr35[i0];
2023-01-11T21:01:51.9944570Z         auto tmp7 = in_ptr36[i0];
2023-01-11T21:01:51.9944648Z         auto tmp9 = in_ptr37[i0];
2023-01-11T21:01:51.9944762Z         auto tmp11 = in_ptr38[i0];
2023-01-11T21:01:51.9944843Z         auto tmp13 = in_ptr39[i0];
2023-01-11T21:01:51.9944910Z         auto tmp15 = in_ptr40[i0];
2023-01-11T21:01:51.9944989Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9945092Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9945172Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9945251Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9945329Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9945409Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9945476Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9945554Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9945632Z         in_out_ptr0[i0] = tmp16;
2023-01-11T21:01:51.9945692Z     }
2023-01-11T21:01:51.9945768Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9945828Z     {
2023-01-11T21:01:51.9945961Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9946128Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr41 + 8*i0);
2023-01-11T21:01:51.9946292Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr42 + 8*i0);
2023-01-11T21:01:51.9946420Z         auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr43 + 8*i0);
2023-01-11T21:01:51.9946543Z         auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr44 + 8*i0);
2023-01-11T21:01:51.9946664Z         auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr45 + 8*i0);
2023-01-11T21:01:51.9946790Z         auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr46 + 8*i0);
2023-01-11T21:01:51.9946916Z         auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr47 + 8*i0);
2023-01-11T21:01:51.9947038Z         auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr48 + 8*i0);
2023-01-11T21:01:51.9947118Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9947184Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9947264Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9947342Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9947426Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9947507Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9947587Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9947667Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9947746Z         tmp16.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9947804Z     }
2023-01-11T21:01:51.9947890Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9947968Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9948028Z     {
2023-01-11T21:01:51.9948113Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9948193Z         auto tmp1 = in_ptr41[i0];
2023-01-11T21:01:51.9948260Z         auto tmp3 = in_ptr42[i0];
2023-01-11T21:01:51.9948337Z         auto tmp5 = in_ptr43[i0];
2023-01-11T21:01:51.9948415Z         auto tmp7 = in_ptr44[i0];
2023-01-11T21:01:51.9948492Z         auto tmp9 = in_ptr45[i0];
2023-01-11T21:01:51.9948574Z         auto tmp11 = in_ptr46[i0];
2023-01-11T21:01:51.9948654Z         auto tmp13 = in_ptr47[i0];
2023-01-11T21:01:51.9948734Z         auto tmp15 = in_ptr48[i0];
2023-01-11T21:01:51.9948801Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9948879Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9948959Z         auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:51.9949036Z         auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:51.9949115Z         auto tmp10 = tmp8 + tmp9;
2023-01-11T21:01:51.9949196Z         auto tmp12 = tmp10 + tmp11;
2023-01-11T21:01:51.9949264Z         auto tmp14 = tmp12 + tmp13;
2023-01-11T21:01:51.9949342Z         auto tmp16 = tmp14 + tmp15;
2023-01-11T21:01:51.9949420Z         in_out_ptr0[i0] = tmp16;
2023-01-11T21:01:51.9949478Z     }
2023-01-11T21:01:51.9949554Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:51.9949613Z     {
2023-01-11T21:01:51.9949744Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9949869Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr49 + 8*i0);
2023-01-11T21:01:51.9949971Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9950059Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:51.9950118Z     }
2023-01-11T21:01:51.9950203Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9950281Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:51.9950379Z     {
2023-01-11T21:01:51.9950452Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:51.9950533Z         auto tmp1 = in_ptr49[i0];
2023-01-11T21:01:51.9950612Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9950689Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:51.9950748Z     }
2023-01-11T21:01:51.9950806Z }
2023-01-11T21:01:51.9950904Z ''')
2023-01-11T21:01:51.9950913Z 
2023-01-11T21:01:51.9950917Z 
2023-01-11T21:01:51.9950992Z async_compile.wait(globals())
2023-01-11T21:01:51.9951063Z del async_compile
2023-01-11T21:01:51.9951068Z 
2023-01-11T21:01:51.9951136Z def call(args):
2023-01-11T21:01:51.9951467Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args
2023-01-11T21:01:51.9951542Z     args.clear()
2023-01-11T21:01:51.9951736Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9951820Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:51.9951902Z     buf2 = buf1; del buf1  # reuse
2023-01-11T21:01:51.9951981Z     buf3 = buf2; del buf2  # reuse
2023-01-11T21:01:51.9952046Z     buf4 = buf3; del buf3  # reuse
2023-01-11T21:01:51.9952123Z     buf5 = buf4; del buf4  # reuse
2023-01-11T21:01:51.9952199Z     buf6 = buf5; del buf5  # reuse
2023-01-11T21:01:51.9953519Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr()))
2023-01-11T21:01:51.9953610Z     del arg0_1
2023-01-11T21:01:51.9953663Z     del arg10_1
2023-01-11T21:01:51.9953728Z     del arg11_1
2023-01-11T21:01:51.9953794Z     del arg12_1
2023-01-11T21:01:51.9953856Z     del arg13_1
2023-01-11T21:01:51.9953919Z     del arg14_1
2023-01-11T21:01:51.9953983Z     del arg15_1
2023-01-11T21:01:51.9954034Z     del arg16_1
2023-01-11T21:01:51.9954097Z     del arg17_1
2023-01-11T21:01:51.9954159Z     del arg18_1
2023-01-11T21:01:51.9954224Z     del arg19_1
2023-01-11T21:01:51.9954288Z     del arg1_1
2023-01-11T21:01:51.9954353Z     del arg20_1
2023-01-11T21:01:51.9954417Z     del arg21_1
2023-01-11T21:01:51.9954501Z     del arg22_1
2023-01-11T21:01:51.9954565Z     del arg23_1
2023-01-11T21:01:51.9954629Z     del arg24_1
2023-01-11T21:01:51.9954691Z     del arg25_1
2023-01-11T21:01:51.9954754Z     del arg26_1
2023-01-11T21:01:51.9954817Z     del arg27_1
2023-01-11T21:01:51.9954896Z     del arg28_1
2023-01-11T21:01:51.9954960Z     del arg29_1
2023-01-11T21:01:51.9955025Z     del arg2_1
2023-01-11T21:01:51.9955088Z     del arg30_1
2023-01-11T21:01:51.9955151Z     del arg31_1
2023-01-11T21:01:51.9955214Z     del arg32_1
2023-01-11T21:01:51.9955277Z     del arg33_1
2023-01-11T21:01:51.9955328Z     del arg34_1
2023-01-11T21:01:51.9955391Z     del arg35_1
2023-01-11T21:01:51.9955453Z     del arg36_1
2023-01-11T21:01:51.9955515Z     del arg37_1
2023-01-11T21:01:51.9955578Z     del arg38_1
2023-01-11T21:01:51.9955641Z     del arg39_1
2023-01-11T21:01:51.9955692Z     del arg3_1
2023-01-11T21:01:51.9955755Z     del arg40_1
2023-01-11T21:01:51.9955818Z     del arg41_1
2023-01-11T21:01:51.9955883Z     del arg42_1
2023-01-11T21:01:51.9955948Z     del arg43_1
2023-01-11T21:01:51.9956009Z     del arg44_1
2023-01-11T21:01:51.9956071Z     del arg45_1
2023-01-11T21:01:51.9956122Z     del arg46_1
2023-01-11T21:01:51.9956185Z     del arg47_1
2023-01-11T21:01:51.9956250Z     del arg48_1
2023-01-11T21:01:51.9956313Z     del arg49_1
2023-01-11T21:01:51.9956376Z     del arg4_1
2023-01-11T21:01:51.9956439Z     del arg5_1
2023-01-11T21:01:51.9956490Z     del arg6_1
2023-01-11T21:01:51.9956555Z     del arg7_1
2023-01-11T21:01:51.9956619Z     del arg8_1
2023-01-11T21:01:51.9956682Z     del arg9_1
2023-01-11T21:01:51.9956753Z     return (buf6, )
2023-01-11T21:01:51.9956759Z 
2023-01-11T21:01:51.9956763Z 
2023-01-11T21:01:51.9956837Z if __name__ == "__main__":
2023-01-11T21:01:51.9956953Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9957063Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9957261Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9957455Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9957641Z     arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9957829Z     arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9958010Z     arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9958191Z     arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9958373Z     arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9958542Z     arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9958724Z     arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9958904Z     arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9959095Z     arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9959287Z     arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9959475Z     arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9959663Z     arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9959846Z     arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9960019Z     arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9960201Z     arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9960382Z     arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9960565Z     arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9960748Z     arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9960931Z     arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9961147Z     arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9961358Z     arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9961538Z     arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9961729Z     arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9961914Z     arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9962101Z     arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9962285Z     arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9962469Z     arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9962653Z     arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9962839Z     arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9963010Z     arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9963194Z     arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9963516Z     arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9963755Z     arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9963937Z     arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9964119Z     arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9964301Z     arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9964482Z     arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9964651Z     arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9964836Z     arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9965018Z     arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9965201Z     arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9965384Z     arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9965565Z     arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9965746Z     arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9965929Z     arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9966100Z     arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9966281Z     arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9966462Z     arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9966827Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1]))
2023-01-11T21:01:51.9967100Z [2023-01-11 20:57:22,002] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362
2023-01-11T21:01:51.9967106Z 
2023-01-11T21:01:51.9967186Z --> 7
2023-01-11T21:01:51.9967252Z ok (1.934s)
2023-01-11T21:01:51.9967696Z   test_no_op_reduction_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9967923Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9968183Z [2023-01-11 20:57:22,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363
2023-01-11T21:01:51.9968444Z [2023-01-11 20:57:23,554] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363
2023-01-11T21:01:51.9968450Z 
2023-01-11T21:01:51.9968543Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9968599Z import torch
2023-01-11T21:01:51.9968669Z import random
2023-01-11T21:01:51.9968782Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9968903Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9968908Z 
2023-01-11T21:01:51.9968988Z aten = torch.ops.aten
2023-01-11T21:01:51.9969124Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9969215Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9969221Z 
2023-01-11T21:01:51.9969225Z 
2023-01-11T21:01:51.9969344Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9969551Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9969669Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9969767Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9969864Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9969923Z {
2023-01-11T21:01:51.9970001Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:51.9970047Z     {
2023-01-11T21:01:51.9970183Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9970312Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9970392Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9970486Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9970572Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9970631Z     }
2023-01-11T21:01:51.9970716Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9970782Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:51.9970840Z     {
2023-01-11T21:01:51.9970919Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9971013Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9971093Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9971168Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:51.9971230Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:51.9971289Z     }
2023-01-11T21:01:51.9971347Z }
2023-01-11T21:01:51.9971424Z ''')
2023-01-11T21:01:51.9971429Z 
2023-01-11T21:01:51.9971434Z 
2023-01-11T21:01:51.9971520Z async_compile.wait(globals())
2023-01-11T21:01:51.9971591Z del async_compile
2023-01-11T21:01:51.9971596Z 
2023-01-11T21:01:51.9971664Z def call(args):
2023-01-11T21:01:51.9971732Z     arg0_1, = args
2023-01-11T21:01:51.9971790Z     args.clear()
2023-01-11T21:01:51.9971983Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9972184Z     buf1 = empty_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9972346Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9972413Z     del arg0_1
2023-01-11T21:01:51.9972488Z     return (buf0, buf1, )
2023-01-11T21:01:51.9972494Z 
2023-01-11T21:01:51.9972498Z 
2023-01-11T21:01:51.9972572Z if __name__ == "__main__":
2023-01-11T21:01:51.9972671Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9972791Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9972992Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9973098Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9973103Z 
2023-01-11T21:01:51.9973202Z ok (1.545s)
2023-01-11T21:01:51.9973534Z   test_output_strides_cpu (__main__.CpuTests) ... [2023-01-11 20:57:23,575] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364
2023-01-11T21:01:51.9973825Z [2023-01-11 20:57:25,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364
2023-01-11T21:01:51.9974080Z [2023-01-11 20:57:25,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365
2023-01-11T21:01:51.9974342Z [2023-01-11 20:57:25,109] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365
2023-01-11T21:01:51.9974580Z [2023-01-11 20:57:25,127] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366
2023-01-11T21:01:51.9974839Z [2023-01-11 20:57:25,131] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366
2023-01-11T21:01:51.9974845Z 
2023-01-11T21:01:51.9974936Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9975008Z import torch
2023-01-11T21:01:51.9975078Z import random
2023-01-11T21:01:51.9975190Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9975309Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9975315Z 
2023-01-11T21:01:51.9975393Z aten = torch.ops.aten
2023-01-11T21:01:51.9975512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9975601Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9975606Z 
2023-01-11T21:01:51.9975610Z 
2023-01-11T21:01:51.9975741Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9975943Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9976060Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9976157Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:51.9976217Z {
2023-01-11T21:01:51.9976292Z     #pragma GCC ivdep
2023-01-11T21:01:51.9976357Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9976419Z     {
2023-01-11T21:01:51.9976494Z         #pragma GCC ivdep
2023-01-11T21:01:51.9976574Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:51.9976635Z         {
2023-01-11T21:01:51.9976712Z             #pragma GCC ivdep
2023-01-11T21:01:51.9976782Z             for(long i2=0; i2<4; i2+=1)
2023-01-11T21:01:51.9976844Z             {
2023-01-11T21:01:51.9976907Z                 {
2023-01-11T21:01:51.9976972Z                     {
2023-01-11T21:01:51.9977079Z                         auto tmp0 = in_ptr0[i1 + (16*i2) + (64*i0)];
2023-01-11T21:01:51.9977179Z                         out_ptr0[i2 + (4*i1) + (64*i0)] = tmp0;
2023-01-11T21:01:51.9977243Z                     }
2023-01-11T21:01:51.9977294Z                 }
2023-01-11T21:01:51.9977355Z             }
2023-01-11T21:01:51.9977416Z         }
2023-01-11T21:01:51.9977475Z     }
2023-01-11T21:01:51.9977532Z }
2023-01-11T21:01:51.9977608Z ''')
2023-01-11T21:01:51.9977613Z 
2023-01-11T21:01:51.9977617Z 
2023-01-11T21:01:51.9977705Z async_compile.wait(globals())
2023-01-11T21:01:51.9977763Z del async_compile
2023-01-11T21:01:51.9977781Z 
2023-01-11T21:01:51.9977836Z def call(args):
2023-01-11T21:01:51.9977904Z     arg0_1, = args
2023-01-11T21:01:51.9977973Z     args.clear()
2023-01-11T21:01:51.9978184Z     buf0 = empty_strided((4, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9978316Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:51.9978381Z     del arg0_1
2023-01-11T21:01:51.9978438Z     return (buf0, )
2023-01-11T21:01:51.9978455Z 
2023-01-11T21:01:51.9978459Z 
2023-01-11T21:01:51.9978519Z if __name__ == "__main__":
2023-01-11T21:01:51.9978629Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9978750Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9978961Z     arg0_1 = rand_strided((4, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9979067Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9979102Z 
2023-01-11T21:01:51.9979107Z 
2023-01-11T21:01:51.9979198Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9979266Z import torch
2023-01-11T21:01:51.9979333Z import random
2023-01-11T21:01:51.9979461Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9979582Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9979587Z 
2023-01-11T21:01:51.9979663Z aten = torch.ops.aten
2023-01-11T21:01:51.9979793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9979882Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9979888Z 
2023-01-11T21:01:51.9979892Z 
2023-01-11T21:01:51.9979977Z async_compile.wait(globals())
2023-01-11T21:01:51.9980047Z del async_compile
2023-01-11T21:01:51.9980051Z 
2023-01-11T21:01:51.9980119Z def call(args):
2023-01-11T21:01:51.9980173Z     arg0_1, = args
2023-01-11T21:01:51.9980241Z     args.clear()
2023-01-11T21:01:51.9980338Z     return (as_strided(arg0_1, (64, 4), (4, 1)), )
2023-01-11T21:01:51.9980346Z 
2023-01-11T21:01:51.9980349Z 
2023-01-11T21:01:51.9980423Z if __name__ == "__main__":
2023-01-11T21:01:51.9980537Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9980658Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9980869Z     arg0_1 = rand_strided((4, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9980961Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9980979Z 
2023-01-11T21:01:51.9980983Z 
2023-01-11T21:01:51.9981061Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9981128Z import torch
2023-01-11T21:01:51.9981196Z import random
2023-01-11T21:01:51.9981307Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9981423Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9981428Z 
2023-01-11T21:01:51.9981504Z aten = torch.ops.aten
2023-01-11T21:01:51.9981633Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9981710Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9981728Z 
2023-01-11T21:01:51.9981732Z 
2023-01-11T21:01:51.9981804Z async_compile.wait(globals())
2023-01-11T21:01:51.9981874Z del async_compile
2023-01-11T21:01:51.9981882Z 
2023-01-11T21:01:51.9981948Z def call(args):
2023-01-11T21:01:51.9982014Z     arg0_1, = args
2023-01-11T21:01:51.9982082Z     args.clear()
2023-01-11T21:01:51.9982186Z     return (as_strided(arg0_1, (4, 4, 1), (4, 16, 0), 3), )
2023-01-11T21:01:51.9982192Z 
2023-01-11T21:01:51.9982196Z 
2023-01-11T21:01:51.9982267Z if __name__ == "__main__":
2023-01-11T21:01:51.9982365Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9982483Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9982694Z     arg0_1 = rand_strided((4, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9982798Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9982803Z 
2023-01-11T21:01:51.9983203Z inductor/test_torchinductor.py:3148: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9983319Z   self.assertEqual(inp.storage(), out.storage())
2023-01-11T21:01:51.9983981Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9984069Z   device=typed_storage.device,
2023-01-11T21:01:51.9984133Z ok (1.575s)
2023-01-11T21:01:51.9984593Z   test_permute_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9984756Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9985005Z [2023-01-11 20:57:25,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367
2023-01-11T21:01:51.9985268Z [2023-01-11 20:57:26,691] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367
2023-01-11T21:01:51.9985273Z 
2023-01-11T21:01:51.9985365Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9985432Z import torch
2023-01-11T21:01:51.9985500Z import random
2023-01-11T21:01:51.9985614Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9985733Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9985740Z 
2023-01-11T21:01:51.9985817Z aten = torch.ops.aten
2023-01-11T21:01:51.9985936Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9986024Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9986029Z 
2023-01-11T21:01:51.9986036Z 
2023-01-11T21:01:51.9986167Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9986371Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9986488Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9986587Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9986681Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:51.9986739Z {
2023-01-11T21:01:51.9986805Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:51.9986864Z     {
2023-01-11T21:01:51.9986995Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9987124Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9987210Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9987335Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:51.9987415Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9987494Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:51.9987568Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9987653Z         tmp5.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9987712Z     }
2023-01-11T21:01:51.9987796Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9987874Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:51.9987932Z     {
2023-01-11T21:01:51.9987997Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9988090Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:51.9988168Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:51.9988261Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:51.9988338Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:51.9988414Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:51.9988491Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.9988553Z         out_ptr1[i0] = tmp5;
2023-01-11T21:01:51.9988611Z     }
2023-01-11T21:01:51.9988669Z }
2023-01-11T21:01:51.9988746Z ''')
2023-01-11T21:01:51.9988751Z 
2023-01-11T21:01:51.9988757Z 
2023-01-11T21:01:51.9988843Z async_compile.wait(globals())
2023-01-11T21:01:51.9988914Z del async_compile
2023-01-11T21:01:51.9988919Z 
2023-01-11T21:01:51.9988986Z def call(args):
2023-01-11T21:01:51.9989042Z     arg0_1, = args
2023-01-11T21:01:51.9989111Z     args.clear()
2023-01-11T21:01:51.9989325Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9989537Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9989701Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:51.9989768Z     del arg0_1
2023-01-11T21:01:51.9989843Z     return (buf0, buf1, )
2023-01-11T21:01:51.9989879Z 
2023-01-11T21:01:51.9989884Z 
2023-01-11T21:01:51.9989959Z if __name__ == "__main__":
2023-01-11T21:01:51.9990059Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:51.9990226Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:51.9990444Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:51.9990552Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:51.9990557Z 
2023-01-11T21:01:51.9990623Z ok (1.562s)
2023-01-11T21:01:51.9991058Z   test_pow1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:51.9991183Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:51.9991442Z [2023-01-11 20:57:26,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368
2023-01-11T21:01:51.9991706Z [2023-01-11 20:57:28,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368
2023-01-11T21:01:51.9991712Z 
2023-01-11T21:01:51.9991804Z from ctypes import c_void_p, c_long
2023-01-11T21:01:51.9991861Z import torch
2023-01-11T21:01:51.9991930Z import random
2023-01-11T21:01:51.9992044Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:51.9992162Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:51.9992167Z 
2023-01-11T21:01:51.9992243Z aten = torch.ops.aten
2023-01-11T21:01:51.9992374Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:51.9992462Z async_compile = AsyncCompile()
2023-01-11T21:01:51.9992467Z 
2023-01-11T21:01:51.9992471Z 
2023-01-11T21:01:51.9992600Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:51.9992792Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:51.9992986Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:51.9993089Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:51.9993185Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:51.9993279Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:51.9993369Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:51.9993460Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:51.9993538Z                        float* __restrict__ out_ptr5,
2023-01-11T21:01:51.9993628Z                        float* __restrict__ out_ptr6,
2023-01-11T21:01:51.9993719Z                        float* __restrict__ out_ptr7,
2023-01-11T21:01:51.9993810Z                        float* __restrict__ out_ptr8,
2023-01-11T21:01:51.9993901Z                        float* __restrict__ out_ptr9,
2023-01-11T21:01:51.9994001Z                        float* __restrict__ out_ptr10,
2023-01-11T21:01:51.9994097Z                        float* __restrict__ out_ptr11,
2023-01-11T21:01:51.9994178Z                        float* __restrict__ out_ptr12,
2023-01-11T21:01:51.9994274Z                        float* __restrict__ out_ptr13,
2023-01-11T21:01:51.9994367Z                        float* __restrict__ out_ptr14,
2023-01-11T21:01:51.9994459Z                        float* __restrict__ out_ptr15)
2023-01-11T21:01:51.9994517Z {
2023-01-11T21:01:51.9994596Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:51.9994656Z     {
2023-01-11T21:01:51.9994775Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:51.9994865Z         auto tmp1 = tmp0.reciprocal();
2023-01-11T21:01:51.9994946Z         auto tmp2 = tmp1 * tmp1;
2023-01-11T21:01:51.9995024Z         auto tmp3 = tmp2 * tmp2;
2023-01-11T21:01:51.9995101Z         auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.9995176Z         auto tmp5 = tmp2 * tmp1;
2023-01-11T21:01:51.9995300Z         auto tmp6 = tmp5 * tmp5;
2023-01-11T21:01:51.9995365Z         auto tmp7 = tmp6 * tmp1;
2023-01-11T21:01:51.9995443Z         auto tmp8 = tmp3 * tmp1;
2023-01-11T21:01:51.9995606Z         auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:51.9995689Z         auto tmp10 = tmp0 * tmp0;
2023-01-11T21:01:51.9995770Z         auto tmp11 = tmp10 * tmp0;
2023-01-11T21:01:51.9995851Z         auto tmp12 = tmp10 * tmp10;
2023-01-11T21:01:51.9995930Z         auto tmp13 = tmp12 * tmp0;
2023-01-11T21:01:51.9995997Z         auto tmp14 = tmp11 * tmp11;
2023-01-11T21:01:51.9996076Z         auto tmp15 = tmp14 * tmp0;
2023-01-11T21:01:51.9996156Z         auto tmp16 = tmp12 * tmp12;
2023-01-11T21:01:51.9996241Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:51.9996323Z         tmp7.store(out_ptr1 + 8*i0);
2023-01-11T21:01:51.9996403Z         tmp6.store(out_ptr2 + 8*i0);
2023-01-11T21:01:51.9996485Z         tmp8.store(out_ptr3 + 8*i0);
2023-01-11T21:01:51.9996555Z         tmp3.store(out_ptr4 + 8*i0);
2023-01-11T21:01:51.9996635Z         tmp5.store(out_ptr5 + 8*i0);
2023-01-11T21:01:51.9996715Z         tmp2.store(out_ptr6 + 8*i0);
2023-01-11T21:01:51.9996794Z         tmp1.store(out_ptr7 + 8*i0);
2023-01-11T21:01:51.9996878Z         tmp9.store(out_ptr8 + 8*i0);
2023-01-11T21:01:51.9996964Z         tmp10.store(out_ptr9 + 8*i0);
2023-01-11T21:01:51.9997051Z         tmp11.store(out_ptr10 + 8*i0);
2023-01-11T21:01:51.9997124Z         tmp12.store(out_ptr11 + 8*i0);
2023-01-11T21:01:51.9997210Z         tmp13.store(out_ptr12 + 8*i0);
2023-01-11T21:01:51.9997304Z         tmp14.store(out_ptr13 + 8*i0);
2023-01-11T21:01:51.9997375Z         tmp15.store(out_ptr14 + 8*i0);
2023-01-11T21:01:51.9997457Z         tmp16.store(out_ptr15 + 8*i0);
2023-01-11T21:01:51.9997515Z     }
2023-01-11T21:01:51.9997600Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:51.9997677Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:51.9997736Z     {
2023-01-11T21:01:51.9997805Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:51.9997881Z         auto tmp1 = 1 / tmp0;
2023-01-11T21:01:51.9997960Z         auto tmp2 = tmp1 * tmp1;
2023-01-11T21:01:51.9998041Z         auto tmp3 = tmp2 * tmp2;
2023-01-11T21:01:51.9998120Z         auto tmp4 = tmp3 * tmp3;
2023-01-11T21:01:51.9998198Z         auto tmp5 = tmp2 * tmp1;
2023-01-11T21:01:51.9998275Z         auto tmp6 = tmp5 * tmp5;
2023-01-11T21:01:51.9998339Z         auto tmp7 = tmp6 * tmp1;
2023-01-11T21:01:51.9998415Z         auto tmp8 = tmp3 * tmp1;
2023-01-11T21:01:51.9998509Z         auto tmp9 = static_cast<float>(1);
2023-01-11T21:01:51.9998589Z         auto tmp10 = tmp0 * tmp0;
2023-01-11T21:01:51.9998667Z         auto tmp11 = tmp10 * tmp0;
2023-01-11T21:01:51.9998748Z         auto tmp12 = tmp10 * tmp10;
2023-01-11T21:01:51.9998826Z         auto tmp13 = tmp12 * tmp0;
2023-01-11T21:01:51.9998893Z         auto tmp14 = tmp11 * tmp11;
2023-01-11T21:01:51.9998972Z         auto tmp15 = tmp14 * tmp0;
2023-01-11T21:01:51.9999050Z         auto tmp16 = tmp12 * tmp12;
2023-01-11T21:01:51.9999127Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:51.9999203Z         out_ptr1[i0] = tmp7;
2023-01-11T21:01:51.9999275Z         out_ptr2[i0] = tmp6;
2023-01-11T21:01:51.9999347Z         out_ptr3[i0] = tmp8;
2023-01-11T21:01:51.9999410Z         out_ptr4[i0] = tmp3;
2023-01-11T21:01:51.9999482Z         out_ptr5[i0] = tmp5;
2023-01-11T21:01:51.9999553Z         out_ptr6[i0] = tmp2;
2023-01-11T21:01:51.9999624Z         out_ptr7[i0] = tmp1;
2023-01-11T21:01:51.9999695Z         out_ptr8[i0] = tmp9;
2023-01-11T21:01:51.9999770Z         out_ptr9[i0] = tmp10;
2023-01-11T21:01:51.9999846Z         out_ptr10[i0] = tmp11;
2023-01-11T21:01:51.9999910Z         out_ptr11[i0] = tmp12;
2023-01-11T21:01:51.9999984Z         out_ptr12[i0] = tmp13;
2023-01-11T21:01:52.0000059Z         out_ptr13[i0] = tmp14;
2023-01-11T21:01:52.0000133Z         out_ptr14[i0] = tmp15;
2023-01-11T21:01:52.0000207Z         out_ptr15[i0] = tmp16;
2023-01-11T21:01:52.0000267Z     }
2023-01-11T21:01:52.0000341Z }
2023-01-11T21:01:52.0000424Z ''')
2023-01-11T21:01:52.0000430Z 
2023-01-11T21:01:52.0000435Z 
2023-01-11T21:01:52.0000521Z async_compile.wait(globals())
2023-01-11T21:01:52.0000592Z del async_compile
2023-01-11T21:01:52.0000597Z 
2023-01-11T21:01:52.0000691Z def call(args):
2023-01-11T21:01:52.0000760Z     arg0_1, = args
2023-01-11T21:01:52.0000829Z     args.clear()
2023-01-11T21:01:52.0001031Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0001216Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0001409Z     buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0001600Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0001790Z     buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0001981Z     buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0002173Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0002362Z     buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0002549Z     buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0002726Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0002920Z     buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0003112Z     buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0003304Z     buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0003698Z     buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0003917Z     buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0004107Z     buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0004599Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()))
2023-01-11T21:01:52.0004763Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2023-01-11T21:01:52.0004770Z 
2023-01-11T21:01:52.0004774Z 
2023-01-11T21:01:52.0004848Z if __name__ == "__main__":
2023-01-11T21:01:52.0004950Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0005071Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0005267Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0005373Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0005379Z 
2023-01-11T21:01:52.0005443Z ok (1.885s)
2023-01-11T21:01:52.0005877Z   test_pow2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0006004Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0006260Z [2023-01-11 20:57:28,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369
2023-01-11T21:01:52.0006524Z [2023-01-11 20:57:30,129] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369
2023-01-11T21:01:52.0006586Z 
2023-01-11T21:01:52.0006680Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0006736Z import torch
2023-01-11T21:01:52.0006805Z import random
2023-01-11T21:01:52.0006916Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0007108Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0007114Z 
2023-01-11T21:01:52.0007191Z aten = torch.ops.aten
2023-01-11T21:01:52.0007324Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0007413Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0007418Z 
2023-01-11T21:01:52.0007423Z 
2023-01-11T21:01:52.0007543Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0007746Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0007863Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0007961Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0008056Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0008119Z {
2023-01-11T21:01:52.0008199Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0008258Z     {
2023-01-11T21:01:52.0008380Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0008513Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1000));
2023-01-11T21:01:52.0008600Z         auto tmp2 = tmp0.pow(tmp1);
2023-01-11T21:01:52.0008683Z         auto tmp3 = tmp1.pow(tmp0);
2023-01-11T21:01:52.0008767Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0008849Z         tmp3.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0008909Z     }
2023-01-11T21:01:52.0008982Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0009060Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0009119Z     {
2023-01-11T21:01:52.0009199Z         auto tmp1 = in_ptr0[i0];
2023-01-11T21:01:52.0009296Z         auto tmp0 = static_cast<float>(1000);
2023-01-11T21:01:52.0009390Z         auto tmp2 = std::pow(tmp0, tmp1);
2023-01-11T21:01:52.0009486Z         auto tmp3 = std::pow(tmp1, tmp0);
2023-01-11T21:01:52.0009550Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0009625Z         out_ptr1[i0] = tmp3;
2023-01-11T21:01:52.0009684Z     }
2023-01-11T21:01:52.0009741Z }
2023-01-11T21:01:52.0009818Z ''')
2023-01-11T21:01:52.0009824Z 
2023-01-11T21:01:52.0009828Z 
2023-01-11T21:01:52.0009914Z async_compile.wait(globals())
2023-01-11T21:01:52.0009986Z del async_compile
2023-01-11T21:01:52.0009991Z 
2023-01-11T21:01:52.0010047Z def call(args):
2023-01-11T21:01:52.0010115Z     arg0_1, = args
2023-01-11T21:01:52.0010183Z     args.clear()
2023-01-11T21:01:52.0010383Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0010578Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0010739Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0010805Z     del arg0_1
2023-01-11T21:01:52.0010870Z     return (buf0, buf1, )
2023-01-11T21:01:52.0010889Z 
2023-01-11T21:01:52.0010894Z 
2023-01-11T21:01:52.0010955Z if __name__ == "__main__":
2023-01-11T21:01:52.0011068Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0011190Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0011388Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0011494Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0011499Z 
2023-01-11T21:01:52.0011564Z ok (1.553s)
2023-01-11T21:01:52.0011881Z   test_pow3_cpu (__main__.CpuTests) ... [2023-01-11 20:57:30,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370
2023-01-11T21:01:52.0012146Z [2023-01-11 20:57:31,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370
2023-01-11T21:01:52.0012151Z 
2023-01-11T21:01:52.0012231Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0012330Z import torch
2023-01-11T21:01:52.0012398Z import random
2023-01-11T21:01:52.0012509Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0012628Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0012633Z 
2023-01-11T21:01:52.0012736Z aten = torch.ops.aten
2023-01-11T21:01:52.0012870Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0012947Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0012965Z 
2023-01-11T21:01:52.0012969Z 
2023-01-11T21:01:52.0013089Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0013291Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0013409Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0013505Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0013564Z {
2023-01-11T21:01:52.0013624Z     {
2023-01-11T21:01:52.0013685Z         {
2023-01-11T21:01:52.0013758Z             auto tmp1 = in_ptr0[0];
2023-01-11T21:01:52.0013866Z             auto tmp0 = static_cast<float>(0.12300000339746475);
2023-01-11T21:01:52.0013951Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0014041Z             auto tmp3 = std::sqrt(tmp2);
2023-01-11T21:01:52.0014120Z             out_ptr0[0] = tmp3;
2023-01-11T21:01:52.0014182Z         }
2023-01-11T21:01:52.0014239Z     }
2023-01-11T21:01:52.0014285Z }
2023-01-11T21:01:52.0014360Z ''')
2023-01-11T21:01:52.0014366Z 
2023-01-11T21:01:52.0014370Z 
2023-01-11T21:01:52.0014456Z async_compile.wait(globals())
2023-01-11T21:01:52.0014527Z del async_compile
2023-01-11T21:01:52.0014533Z 
2023-01-11T21:01:52.0014601Z def call(args):
2023-01-11T21:01:52.0014668Z     arg0_1, = args
2023-01-11T21:01:52.0014735Z     args.clear()
2023-01-11T21:01:52.0014907Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0015040Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0015110Z     del arg0_1
2023-01-11T21:01:52.0015180Z     return (buf0, )
2023-01-11T21:01:52.0015185Z 
2023-01-11T21:01:52.0015189Z 
2023-01-11T21:01:52.0015263Z if __name__ == "__main__":
2023-01-11T21:01:52.0015374Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0015496Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0015679Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0015771Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0015776Z 
2023-01-11T21:01:52.0015841Z ok (1.523s)
2023-01-11T21:01:52.0016182Z   test_profiler_mark_wrapper_call_cpu (__main__.CpuTests) ... STAGE:2023-01-11 20:57:31 1287:1287 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:01:52.0016439Z [2023-01-11 20:57:31,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371
2023-01-11T21:01:52.0016699Z [2023-01-11 20:57:33,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371
2023-01-11T21:01:52.0016948Z STAGE:2023-01-11 20:57:33 1287:1287 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:01:52.0017203Z STAGE:2023-01-11 20:57:33 1287:1287 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:01:52.0017209Z 
2023-01-11T21:01:52.0017301Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0017370Z import torch
2023-01-11T21:01:52.0017426Z import random
2023-01-11T21:01:52.0017539Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0017655Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0017661Z 
2023-01-11T21:01:52.0017736Z aten = torch.ops.aten
2023-01-11T21:01:52.0017868Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0017957Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0017962Z 
2023-01-11T21:01:52.0017966Z 
2023-01-11T21:01:52.0018096Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0018335Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0018440Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0018569Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0018668Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0018728Z {
2023-01-11T21:01:52.0018806Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.0018865Z     {
2023-01-11T21:01:52.0018995Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0019111Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0019194Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0019281Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0019341Z     }
2023-01-11T21:01:52.0019424Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0019502Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.0019561Z     {
2023-01-11T21:01:52.0019629Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0019707Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.0019784Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0019859Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0019920Z     }
2023-01-11T21:01:52.0019978Z }
2023-01-11T21:01:52.0020042Z ''')
2023-01-11T21:01:52.0020059Z 
2023-01-11T21:01:52.0020063Z 
2023-01-11T21:01:52.0020137Z async_compile.wait(globals())
2023-01-11T21:01:52.0020208Z del async_compile
2023-01-11T21:01:52.0020213Z 
2023-01-11T21:01:52.0020282Z def call(args):
2023-01-11T21:01:52.0020355Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0020424Z     args.clear()
2023-01-11T21:01:52.0020532Z     from torch.profiler import record_function
2023-01-11T21:01:52.0020688Z     with record_function('inductor_wrapper_call'):
2023-01-11T21:01:52.0020874Z         buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0021036Z         kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0021104Z         del arg0_1
2023-01-11T21:01:52.0021170Z         del arg1_1
2023-01-11T21:01:52.0021240Z         return (buf0, )
2023-01-11T21:01:52.0021245Z 
2023-01-11T21:01:52.0021249Z 
2023-01-11T21:01:52.0021324Z if __name__ == "__main__":
2023-01-11T21:01:52.0021435Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0021555Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0021741Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0021933Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0022046Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0022051Z 
2023-01-11T21:01:52.0022114Z ok (1.520s)
2023-01-11T21:01:52.0022459Z   test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2023-01-11 20:57:33,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372
2023-01-11T21:01:52.0022715Z [2023-01-11 20:57:33,249] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2023-01-11T21:01:52.0022979Z [2023-01-11 20:57:34,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372
2023-01-11T21:01:52.0022984Z 
2023-01-11T21:01:52.0023075Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0023131Z import torch
2023-01-11T21:01:52.0023200Z import random
2023-01-11T21:01:52.0023311Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0023426Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0023431Z 
2023-01-11T21:01:52.0023507Z aten = torch.ops.aten
2023-01-11T21:01:52.0023639Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0023728Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0023886Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2023-01-11T21:01:52.0023925Z 
2023-01-11T21:01:52.0023929Z 
2023-01-11T21:01:52.0024050Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0024253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0024392Z extern "C" void kernel(const long* __restrict__ seed0,
2023-01-11T21:01:52.0024494Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0024587Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0024646Z {
2023-01-11T21:01:52.0024718Z     #pragma GCC ivdep
2023-01-11T21:01:52.0024798Z     for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:52.0024846Z     {
2023-01-11T21:01:52.0024908Z         {
2023-01-11T21:01:52.0024969Z             {
2023-01-11T21:01:52.0025052Z                 auto tmp0 = seed0[0];
2023-01-11T21:01:52.0025147Z                 auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:52.0025281Z                 auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2023-01-11T21:01:52.0025388Z                 auto tmp3 = static_cast<int>(1024 + i0);
2023-01-11T21:01:52.0025508Z                 auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp0, tmp3));;
2023-01-11T21:01:52.0025586Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0025664Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.0025724Z             }
2023-01-11T21:01:52.0025785Z         }
2023-01-11T21:01:52.0025844Z     }
2023-01-11T21:01:52.0025889Z }
2023-01-11T21:01:52.0025968Z ''')
2023-01-11T21:01:52.0025972Z 
2023-01-11T21:01:52.0025977Z 
2023-01-11T21:01:52.0026062Z async_compile.wait(globals())
2023-01-11T21:01:52.0026132Z del async_compile
2023-01-11T21:01:52.0026136Z 
2023-01-11T21:01:52.0026204Z def call(args):
2023-01-11T21:01:52.0026271Z     arg0_1, = args
2023-01-11T21:01:52.0026338Z     args.clear()
2023-01-11T21:01:52.0026469Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2023-01-11T21:01:52.0026650Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0026846Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0027015Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0027092Z     return (buf0, buf1, )
2023-01-11T21:01:52.0027098Z 
2023-01-11T21:01:52.0027102Z 
2023-01-11T21:01:52.0027177Z if __name__ == "__main__":
2023-01-11T21:01:52.0027288Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0027407Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0027598Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0027780Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0027884Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0027889Z 
2023-01-11T21:01:52.0027954Z ok (1.582s)
2023-01-11T21:01:52.0028392Z   test_reduction1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0028519Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0028775Z [2023-01-11 20:57:34,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373
2023-01-11T21:01:52.0029036Z [2023-01-11 20:57:36,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373
2023-01-11T21:01:52.0029041Z 
2023-01-11T21:01:52.0029131Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0029199Z import torch
2023-01-11T21:01:52.0029254Z import random
2023-01-11T21:01:52.0029367Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0029483Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0029516Z 
2023-01-11T21:01:52.0029592Z aten = torch.ops.aten
2023-01-11T21:01:52.0029724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0029814Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0029860Z 
2023-01-11T21:01:52.0029865Z 
2023-01-11T21:01:52.0029996Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0030196Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0030301Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0030399Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0030495Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0030588Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0030681Z                        long* __restrict__ out_ptr3,
2023-01-11T21:01:52.0030772Z                        long* __restrict__ out_ptr4)
2023-01-11T21:01:52.0030833Z {
2023-01-11T21:01:52.0030881Z     {
2023-01-11T21:01:52.0030939Z         {
2023-01-11T21:01:52.0031014Z             float tmp1 = 0;
2023-01-11T21:01:52.0031234Z             float tmp2 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0031358Z             float tmp3 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0031472Z             struct IndexValue_7 {size_t index; float value;};
2023-01-11T21:01:52.0031690Z             IndexValue_7 tmp4{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0031825Z             #pragma omp declare reduction(argmax : struct IndexValue_7 :\
2023-01-11T21:01:52.0031958Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0032100Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0032329Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0032445Z             struct IndexValue_8 {size_t index; float value;};
2023-01-11T21:01:52.0032578Z             IndexValue_8 tmp5{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0032712Z             #pragma omp declare reduction(argmin : struct IndexValue_8 :\
2023-01-11T21:01:52.0032855Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0033075Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0033215Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0033287Z             for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:52.0033349Z             {
2023-01-11T21:01:52.0033417Z                 {
2023-01-11T21:01:52.0033509Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0033586Z                     tmp1 += tmp0;
2023-01-11T21:01:52.0033684Z                     tmp2 = std::max(tmp2, tmp0);
2023-01-11T21:01:52.0033779Z                     tmp3 = std::min(tmp3, tmp0);
2023-01-11T21:01:52.0033863Z                     if (tmp4.value < tmp0) {
2023-01-11T21:01:52.0033969Z                         tmp4.index = i0; tmp4.value = tmp0;
2023-01-11T21:01:52.0034036Z                     }
2023-01-11T21:01:52.0034126Z                     if (tmp5.value > tmp0) {
2023-01-11T21:01:52.0034230Z                         tmp5.index = i0; tmp5.value = tmp0;
2023-01-11T21:01:52.0034293Z                     }
2023-01-11T21:01:52.0034354Z                 }
2023-01-11T21:01:52.0034404Z             }
2023-01-11T21:01:52.0034481Z             out_ptr0[0] = tmp1;
2023-01-11T21:01:52.0034557Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:52.0034630Z             out_ptr2[0] = tmp3;
2023-01-11T21:01:52.0034714Z             out_ptr3[0] = tmp4.index;
2023-01-11T21:01:52.0034792Z             out_ptr4[0] = tmp5.index;
2023-01-11T21:01:52.0034852Z         }
2023-01-11T21:01:52.0034900Z     }
2023-01-11T21:01:52.0034956Z }
2023-01-11T21:01:52.0035034Z ''')
2023-01-11T21:01:52.0035081Z 
2023-01-11T21:01:52.0035085Z 
2023-01-11T21:01:52.0035177Z async_compile.wait(globals())
2023-01-11T21:01:52.0035246Z del async_compile
2023-01-11T21:01:52.0035251Z 
2023-01-11T21:01:52.0035317Z def call(args):
2023-01-11T21:01:52.0035413Z     arg0_1, = args
2023-01-11T21:01:52.0035472Z     args.clear()
2023-01-11T21:01:52.0035656Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0035834Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0036008Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0036182Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0036352Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0036588Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:52.0036657Z     del arg0_1
2023-01-11T21:01:52.0036740Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:52.0036745Z 
2023-01-11T21:01:52.0036750Z 
2023-01-11T21:01:52.0036825Z if __name__ == "__main__":
2023-01-11T21:01:52.0036939Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0037059Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0037249Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0037353Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0037358Z 
2023-01-11T21:01:52.0037422Z ok (1.549s)
2023-01-11T21:01:52.0037860Z   test_reduction2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0037988Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0038231Z [2023-01-11 20:57:36,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374
2023-01-11T21:01:52.0038494Z [2023-01-11 20:57:37,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374
2023-01-11T21:01:52.0038499Z 
2023-01-11T21:01:52.0038591Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0038659Z import torch
2023-01-11T21:01:52.0038728Z import random
2023-01-11T21:01:52.0038840Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0038959Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0038964Z 
2023-01-11T21:01:52.0039040Z aten = torch.ops.aten
2023-01-11T21:01:52.0039159Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0039252Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0039257Z 
2023-01-11T21:01:52.0039264Z 
2023-01-11T21:01:52.0039394Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0039596Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0039715Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0039811Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0039907Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0039998Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0040080Z                        long* __restrict__ out_ptr3)
2023-01-11T21:01:52.0040138Z {
2023-01-11T21:01:52.0040200Z     {
2023-01-11T21:01:52.0040264Z         {
2023-01-11T21:01:52.0040339Z             float tmp1 = 0;
2023-01-11T21:01:52.0040540Z             float tmp2 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0040662Z             float tmp3 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0040766Z             struct IndexValue_9 {size_t index; float value;};
2023-01-11T21:01:52.0040928Z             IndexValue_9 tmp4{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0041061Z             #pragma omp declare reduction(argmin : struct IndexValue_9 :\
2023-01-11T21:01:52.0041232Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0041377Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0041517Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0041598Z             for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0041660Z             {
2023-01-11T21:01:52.0041711Z                 {
2023-01-11T21:01:52.0041801Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0041875Z                     tmp1 += tmp0;
2023-01-11T21:01:52.0041973Z                     tmp2 = std::max(tmp2, tmp0);
2023-01-11T21:01:52.0042069Z                     tmp3 = std::min(tmp3, tmp0);
2023-01-11T21:01:52.0042161Z                     if (tmp4.value > tmp0) {
2023-01-11T21:01:52.0042269Z                         tmp4.index = i0; tmp4.value = tmp0;
2023-01-11T21:01:52.0042323Z                     }
2023-01-11T21:01:52.0042388Z                 }
2023-01-11T21:01:52.0042449Z             }
2023-01-11T21:01:52.0042525Z             out_ptr0[0] = tmp1;
2023-01-11T21:01:52.0042600Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:52.0042673Z             out_ptr2[0] = tmp3;
2023-01-11T21:01:52.0042756Z             out_ptr3[0] = tmp4.index;
2023-01-11T21:01:52.0042805Z         }
2023-01-11T21:01:52.0042863Z     }
2023-01-11T21:01:52.0042920Z }
2023-01-11T21:01:52.0042996Z ''')
2023-01-11T21:01:52.0043001Z 
2023-01-11T21:01:52.0043005Z 
2023-01-11T21:01:52.0043090Z async_compile.wait(globals())
2023-01-11T21:01:52.0043159Z del async_compile
2023-01-11T21:01:52.0043164Z 
2023-01-11T21:01:52.0043230Z def call(args):
2023-01-11T21:01:52.0043285Z     arg0_1, = args
2023-01-11T21:01:52.0043490Z     args.clear()
2023-01-11T21:01:52.0043752Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0043932Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0044106Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0044284Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0044498Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.0044566Z     del arg0_1
2023-01-11T21:01:52.0044640Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:52.0044645Z 
2023-01-11T21:01:52.0044649Z 
2023-01-11T21:01:52.0044724Z if __name__ == "__main__":
2023-01-11T21:01:52.0044837Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0044958Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0045148Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0045257Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0045263Z 
2023-01-11T21:01:52.0045329Z ok (1.544s)
2023-01-11T21:01:52.0045768Z   test_reduction3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0045891Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0046137Z [2023-01-11 20:57:37,873] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375
2023-01-11T21:01:52.0046400Z [2023-01-11 20:57:39,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375
2023-01-11T21:01:52.0046461Z 
2023-01-11T21:01:52.0046555Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0046624Z import torch
2023-01-11T21:01:52.0046698Z import random
2023-01-11T21:01:52.0046867Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0047067Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0047075Z 
2023-01-11T21:01:52.0047153Z aten = torch.ops.aten
2023-01-11T21:01:52.0047272Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0047361Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0047367Z 
2023-01-11T21:01:52.0047371Z 
2023-01-11T21:01:52.0047510Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0047714Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0047832Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0047930Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0048026Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0048120Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0048204Z                        long* __restrict__ out_ptr3)
2023-01-11T21:01:52.0048264Z {
2023-01-11T21:01:52.0048325Z     {
2023-01-11T21:01:52.0048388Z         {
2023-01-11T21:01:52.0048463Z             float tmp1 = 0;
2023-01-11T21:01:52.0048668Z             float tmp2 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0048791Z             float tmp3 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0048895Z             struct IndexValue_10 {size_t index; float value;};
2023-01-11T21:01:52.0049113Z             IndexValue_10 tmp4{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0049249Z             #pragma omp declare reduction(argmax : struct IndexValue_10 :\
2023-01-11T21:01:52.0049394Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0049537Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0049770Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0049852Z             for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0049917Z             {
2023-01-11T21:01:52.0049970Z                 {
2023-01-11T21:01:52.0050060Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0050136Z                     tmp1 += tmp0;
2023-01-11T21:01:52.0050235Z                     tmp2 = std::max(tmp2, tmp0);
2023-01-11T21:01:52.0050330Z                     tmp3 = std::min(tmp3, tmp0);
2023-01-11T21:01:52.0050422Z                     if (tmp4.value < tmp0) {
2023-01-11T21:01:52.0050529Z                         tmp4.index = i0; tmp4.value = tmp0;
2023-01-11T21:01:52.0050582Z                     }
2023-01-11T21:01:52.0050647Z                 }
2023-01-11T21:01:52.0050708Z             }
2023-01-11T21:01:52.0050785Z             out_ptr0[0] = tmp1;
2023-01-11T21:01:52.0050863Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:52.0050937Z             out_ptr2[0] = tmp3;
2023-01-11T21:01:52.0051020Z             out_ptr3[0] = tmp4.index;
2023-01-11T21:01:52.0051069Z         }
2023-01-11T21:01:52.0051128Z     }
2023-01-11T21:01:52.0051185Z }
2023-01-11T21:01:52.0051262Z ''')
2023-01-11T21:01:52.0051267Z 
2023-01-11T21:01:52.0051272Z 
2023-01-11T21:01:52.0051359Z async_compile.wait(globals())
2023-01-11T21:01:52.0051430Z del async_compile
2023-01-11T21:01:52.0051435Z 
2023-01-11T21:01:52.0051502Z def call(args):
2023-01-11T21:01:52.0051556Z     arg0_1, = args
2023-01-11T21:01:52.0051625Z     args.clear()
2023-01-11T21:01:52.0051811Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0051990Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0052165Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0052340Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0052584Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.0052650Z     del arg0_1
2023-01-11T21:01:52.0052753Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:52.0052759Z 
2023-01-11T21:01:52.0052764Z 
2023-01-11T21:01:52.0052840Z if __name__ == "__main__":
2023-01-11T21:01:52.0052950Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0053071Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0053262Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0053369Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0053375Z 
2023-01-11T21:01:52.0053439Z ok (1.550s)
2023-01-11T21:01:52.0053668Z   test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.001s)
2023-01-11T21:01:52.0054110Z   test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0054239Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0054497Z [2023-01-11 20:57:39,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376
2023-01-11T21:01:52.0054757Z [2023-01-11 20:57:40,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376
2023-01-11T21:01:52.0055153Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0055279Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0055535Z [2023-01-11 20:57:40,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377
2023-01-11T21:01:52.0055793Z [2023-01-11 20:57:42,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377
2023-01-11T21:01:52.0056186Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0056308Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0056561Z [2023-01-11 20:57:42,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378
2023-01-11T21:01:52.0056569Z 
2023-01-11T21:01:52.0056661Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0056718Z import torch
2023-01-11T21:01:52.0056787Z import random
2023-01-11T21:01:52.0056899Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0057019Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0057025Z 
2023-01-11T21:01:52.0057103Z aten = torch.ops.aten
2023-01-11T21:01:52.0057235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0057326Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0057331Z 
2023-01-11T21:01:52.0057336Z 
2023-01-11T21:01:52.0057455Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0057659Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0057775Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0057872Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0057932Z {
2023-01-11T21:01:52.0058040Z     #pragma GCC ivdep
2023-01-11T21:01:52.0058117Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0058165Z     {
2023-01-11T21:01:52.0058241Z         #pragma GCC ivdep
2023-01-11T21:01:52.0058320Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0058408Z         {
2023-01-11T21:01:52.0058474Z             {
2023-01-11T21:01:52.0058536Z                 {
2023-01-11T21:01:52.0058639Z                     auto tmp0 = static_cast<int>(i0);
2023-01-11T21:01:52.0058725Z                     auto tmp1 = static_cast<int>(i1);
2023-01-11T21:01:52.0058826Z                     auto tmp2 = in_ptr0[tmp1 + (8*tmp0)];
2023-01-11T21:01:52.0058919Z                     out_ptr0[i1 + (8*i0)] = tmp2;
2023-01-11T21:01:52.0058984Z                 }
2023-01-11T21:01:52.0059044Z             }
2023-01-11T21:01:52.0059105Z         }
2023-01-11T21:01:52.0059163Z     }
2023-01-11T21:01:52.0059209Z }
2023-01-11T21:01:52.0059285Z ''')
2023-01-11T21:01:52.0059290Z 
2023-01-11T21:01:52.0059294Z 
2023-01-11T21:01:52.0059381Z async_compile.wait(globals())
2023-01-11T21:01:52.0059451Z del async_compile
2023-01-11T21:01:52.0059456Z 
2023-01-11T21:01:52.0059523Z def call(args):
2023-01-11T21:01:52.0059595Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0059663Z     args.clear()
2023-01-11T21:01:52.0059861Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0059992Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0060059Z     del arg0_1
2023-01-11T21:01:52.0060126Z     return (buf0, )
2023-01-11T21:01:52.0060131Z 
2023-01-11T21:01:52.0060135Z 
2023-01-11T21:01:52.0060207Z if __name__ == "__main__":
2023-01-11T21:01:52.0060318Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0060439Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0060648Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0060846Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0060961Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0060966Z 
2023-01-11T21:01:52.0060970Z 
2023-01-11T21:01:52.0061061Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0061129Z import torch
2023-01-11T21:01:52.0061196Z import random
2023-01-11T21:01:52.0061307Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0061425Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0061430Z 
2023-01-11T21:01:52.0061505Z aten = torch.ops.aten
2023-01-11T21:01:52.0061625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0061711Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0061717Z 
2023-01-11T21:01:52.0061721Z 
2023-01-11T21:01:52.0061850Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0062050Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0062169Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0062265Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0062323Z {
2023-01-11T21:01:52.0062396Z     #pragma GCC ivdep
2023-01-11T21:01:52.0062463Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0062523Z     {
2023-01-11T21:01:52.0062598Z         #pragma GCC ivdep
2023-01-11T21:01:52.0062677Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0062738Z         {
2023-01-11T21:01:52.0062797Z             {
2023-01-11T21:01:52.0062860Z                 {
2023-01-11T21:01:52.0062955Z                     auto tmp0 = static_cast<int>(1 + i0);
2023-01-11T21:01:52.0063056Z                     auto tmp1 = static_cast<int>(1 + i1);
2023-01-11T21:01:52.0063157Z                     auto tmp2 = in_ptr0[tmp1 + (10*tmp0)];
2023-01-11T21:01:52.0063258Z                     auto tmp3 = static_cast<int>(i1);
2023-01-11T21:01:52.0063345Z                     auto tmp4 = tmp3 >= 1;
2023-01-11T21:01:52.0063465Z                     auto tmp5 = tmp3 <= 1;
2023-01-11T21:01:52.0063553Z                     auto tmp6 = tmp4 & tmp5;
2023-01-11T21:01:52.0063621Z                     float tmp7 = 0.0;
2023-01-11T21:01:52.0063692Z                     if(tmp6)
2023-01-11T21:01:52.0063786Z                     {
2023-01-11T21:01:52.0063894Z                         auto tmp8 = static_cast<int>(1 + i0);
2023-01-11T21:01:52.0064064Z                         auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2023-01-11T21:01:52.0064168Z                         auto tmp10 = in_ptr0[tmp9 + (10*tmp8)];
2023-01-11T21:01:52.0064244Z                         tmp7 = tmp10;
2023-01-11T21:01:52.0064297Z                     }
2023-01-11T21:01:52.0064388Z                     auto tmp11 = tmp2 + tmp7;
2023-01-11T21:01:52.0064475Z                     auto tmp12 = tmp3 >= 6;
2023-01-11T21:01:52.0064560Z                     auto tmp13 = tmp3 <= 6;
2023-01-11T21:01:52.0064650Z                     auto tmp14 = tmp12 & tmp13;
2023-01-11T21:01:52.0064754Z                     float tmp15 = 0.0;
2023-01-11T21:01:52.0064827Z                     if(tmp14)
2023-01-11T21:01:52.0064879Z                     {
2023-01-11T21:01:52.0064983Z                         auto tmp16 = static_cast<int>(1 + i0);
2023-01-11T21:01:52.0065155Z                         auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2023-01-11T21:01:52.0065261Z                         auto tmp18 = in_ptr0[tmp17 + (10*tmp16)];
2023-01-11T21:01:52.0065337Z                         tmp15 = tmp18;
2023-01-11T21:01:52.0065401Z                     }
2023-01-11T21:01:52.0065492Z                     auto tmp19 = tmp11 + tmp15;
2023-01-11T21:01:52.0065581Z                     auto tmp20 = static_cast<int>(i0);
2023-01-11T21:01:52.0065670Z                     auto tmp21 = tmp20 >= 1;
2023-01-11T21:01:52.0065758Z                     auto tmp22 = tmp20 <= 1;
2023-01-11T21:01:52.0065846Z                     auto tmp23 = tmp21 & tmp22;
2023-01-11T21:01:52.0065924Z                     float tmp24 = 0.0;
2023-01-11T21:01:52.0065998Z                     if(tmp23)
2023-01-11T21:01:52.0066063Z                     {
2023-01-11T21:01:52.0066220Z                         auto tmp25 = static_cast<int>(1 + ((-1)*i0));
2023-01-11T21:01:52.0066329Z                         auto tmp26 = static_cast<int>(1 + i1);
2023-01-11T21:01:52.0066434Z                         auto tmp27 = in_ptr0[tmp26 + (10*tmp25)];
2023-01-11T21:01:52.0066509Z                         tmp24 = tmp27;
2023-01-11T21:01:52.0066572Z                     }
2023-01-11T21:01:52.0066662Z                     auto tmp28 = tmp19 + tmp24;
2023-01-11T21:01:52.0066750Z                     auto tmp29 = tmp20 >= 6;
2023-01-11T21:01:52.0066826Z                     auto tmp30 = tmp20 <= 6;
2023-01-11T21:01:52.0066915Z                     auto tmp31 = tmp29 & tmp30;
2023-01-11T21:01:52.0066995Z                     float tmp32 = 0.0;
2023-01-11T21:01:52.0067066Z                     if(tmp31)
2023-01-11T21:01:52.0067130Z                     {
2023-01-11T21:01:52.0067298Z                         auto tmp33 = static_cast<int>(15 + ((-1)*i0));
2023-01-11T21:01:52.0067406Z                         auto tmp34 = static_cast<int>(1 + i1);
2023-01-11T21:01:52.0067511Z                         auto tmp35 = in_ptr0[tmp34 + (10*tmp33)];
2023-01-11T21:01:52.0067578Z                         tmp32 = tmp35;
2023-01-11T21:01:52.0067643Z                     }
2023-01-11T21:01:52.0067733Z                     auto tmp36 = tmp28 + tmp32;
2023-01-11T21:01:52.0067824Z                     auto tmp37 = tmp23 & tmp6;
2023-01-11T21:01:52.0067901Z                     float tmp38 = 0.0;
2023-01-11T21:01:52.0067972Z                     if(tmp37)
2023-01-11T21:01:52.0068035Z                     {
2023-01-11T21:01:52.0068191Z                         auto tmp39 = static_cast<int>(1 + ((-1)*i0));
2023-01-11T21:01:52.0068354Z                         auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2023-01-11T21:01:52.0068458Z                         auto tmp41 = in_ptr0[tmp40 + (10*tmp39)];
2023-01-11T21:01:52.0068564Z                         tmp38 = tmp41;
2023-01-11T21:01:52.0068628Z                     }
2023-01-11T21:01:52.0068716Z                     auto tmp42 = tmp36 + tmp38;
2023-01-11T21:01:52.0068804Z                     auto tmp43 = tmp23 & tmp14;
2023-01-11T21:01:52.0068915Z                     float tmp44 = 0.0;
2023-01-11T21:01:52.0068986Z                     if(tmp43)
2023-01-11T21:01:52.0069049Z                     {
2023-01-11T21:01:52.0069216Z                         auto tmp45 = static_cast<int>(1 + ((-1)*i0));
2023-01-11T21:01:52.0069388Z                         auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2023-01-11T21:01:52.0069494Z                         auto tmp47 = in_ptr0[tmp46 + (10*tmp45)];
2023-01-11T21:01:52.0069570Z                         tmp44 = tmp47;
2023-01-11T21:01:52.0069622Z                     }
2023-01-11T21:01:52.0069711Z                     auto tmp48 = tmp42 + tmp44;
2023-01-11T21:01:52.0069800Z                     auto tmp49 = tmp31 & tmp6;
2023-01-11T21:01:52.0069878Z                     float tmp50 = 0.0;
2023-01-11T21:01:52.0069952Z                     if(tmp49)
2023-01-11T21:01:52.0070016Z                     {
2023-01-11T21:01:52.0070183Z                         auto tmp51 = static_cast<int>(15 + ((-1)*i0));
2023-01-11T21:01:52.0070338Z                         auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2023-01-11T21:01:52.0070441Z                         auto tmp53 = in_ptr0[tmp52 + (10*tmp51)];
2023-01-11T21:01:52.0070516Z                         tmp50 = tmp53;
2023-01-11T21:01:52.0070580Z                     }
2023-01-11T21:01:52.0070670Z                     auto tmp54 = tmp48 + tmp50;
2023-01-11T21:01:52.0070758Z                     auto tmp55 = tmp31 & tmp14;
2023-01-11T21:01:52.0070835Z                     float tmp56 = 0.0;
2023-01-11T21:01:52.0070894Z                     if(tmp55)
2023-01-11T21:01:52.0070958Z                     {
2023-01-11T21:01:52.0071127Z                         auto tmp57 = static_cast<int>(15 + ((-1)*i0));
2023-01-11T21:01:52.0071294Z                         auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2023-01-11T21:01:52.0071402Z                         auto tmp59 = in_ptr0[tmp58 + (10*tmp57)];
2023-01-11T21:01:52.0071478Z                         tmp56 = tmp59;
2023-01-11T21:01:52.0071544Z                     }
2023-01-11T21:01:52.0071636Z                     auto tmp60 = tmp54 + tmp56;
2023-01-11T21:01:52.0071716Z                     out_ptr0[i1 + (8*i0)] = tmp60;
2023-01-11T21:01:52.0071778Z                 }
2023-01-11T21:01:52.0071839Z             }
2023-01-11T21:01:52.0071899Z         }
2023-01-11T21:01:52.0071959Z     }
2023-01-11T21:01:52.0072016Z }
2023-01-11T21:01:52.0072079Z ''')
2023-01-11T21:01:52.0072085Z 
2023-01-11T21:01:52.0072102Z 
2023-01-11T21:01:52.0072177Z async_compile.wait(globals())
2023-01-11T21:01:52.0072246Z del async_compile
2023-01-11T21:01:52.0072252Z 
2023-01-11T21:01:52.0072320Z def call(args):
2023-01-11T21:01:52.0072393Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0072462Z     args.clear()
2023-01-11T21:01:52.0072673Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0072805Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0072963Z     del arg0_1
2023-01-11T21:01:52.0073039Z     return (buf0, )
2023-01-11T21:01:52.0073044Z 
2023-01-11T21:01:52.0073048Z 
2023-01-11T21:01:52.0073122Z if __name__ == "__main__":
2023-01-11T21:01:52.0073234Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0073356Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0073578Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0073786Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0073898Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0073904Z 
2023-01-11T21:01:52.0073908Z 
2023-01-11T21:01:52.0073988Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0074096Z import torch
2023-01-11T21:01:52.0074164Z import random
2023-01-11T21:01:52.0074274Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0074392Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0074426Z 
2023-01-11T21:01:52.0074503Z aten = torch.ops.aten
2023-01-11T21:01:52.0074634Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0074723Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0074729Z 
2023-01-11T21:01:52.0074733Z 
2023-01-11T21:01:52.0074853Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0075056Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0075172Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0075269Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0075328Z {
2023-01-11T21:01:52.0075402Z     #pragma GCC ivdep
2023-01-11T21:01:52.0075480Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0075529Z     {
2023-01-11T21:01:52.0075604Z         #pragma GCC ivdep
2023-01-11T21:01:52.0075682Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0075744Z         {
2023-01-11T21:01:52.0075807Z             {
2023-01-11T21:01:52.0075870Z                 {
2023-01-11T21:01:52.0075975Z                     auto tmp0 = static_cast<int>(3 + i0);
2023-01-11T21:01:52.0076063Z                     auto tmp1 = static_cast<int>(1 + i1);
2023-01-11T21:01:52.0076166Z                     auto tmp2 = in_ptr0[tmp1 + (11*tmp0)];
2023-01-11T21:01:52.0076266Z                     auto tmp3 = static_cast<int>(i1);
2023-01-11T21:01:52.0076353Z                     auto tmp4 = tmp3 >= 1;
2023-01-11T21:01:52.0076440Z                     auto tmp5 = tmp3 <= 1;
2023-01-11T21:01:52.0076529Z                     auto tmp6 = tmp4 & tmp5;
2023-01-11T21:01:52.0076609Z                     float tmp7 = 0.0;
2023-01-11T21:01:52.0076667Z                     if(tmp6)
2023-01-11T21:01:52.0076736Z                     {
2023-01-11T21:01:52.0076842Z                         auto tmp8 = static_cast<int>(3 + i0);
2023-01-11T21:01:52.0077013Z                         auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2023-01-11T21:01:52.0077119Z                         auto tmp10 = in_ptr0[tmp9 + (11*tmp8)];
2023-01-11T21:01:52.0077194Z                         tmp7 = tmp10;
2023-01-11T21:01:52.0077257Z                     }
2023-01-11T21:01:52.0077336Z                     auto tmp11 = tmp2 + tmp7;
2023-01-11T21:01:52.0077429Z                     auto tmp12 = tmp3 >= 5;
2023-01-11T21:01:52.0077511Z                     auto tmp13 = tmp3 <= 6;
2023-01-11T21:01:52.0077602Z                     auto tmp14 = tmp12 & tmp13;
2023-01-11T21:01:52.0077682Z                     float tmp15 = 0.0;
2023-01-11T21:01:52.0077753Z                     if(tmp14)
2023-01-11T21:01:52.0077817Z                     {
2023-01-11T21:01:52.0077911Z                         auto tmp16 = static_cast<int>(3 + i0);
2023-01-11T21:01:52.0078082Z                         auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2023-01-11T21:01:52.0078189Z                         auto tmp18 = in_ptr0[tmp17 + (11*tmp16)];
2023-01-11T21:01:52.0078266Z                         tmp15 = tmp18;
2023-01-11T21:01:52.0078336Z                     }
2023-01-11T21:01:52.0078426Z                     auto tmp19 = tmp11 + tmp15;
2023-01-11T21:01:52.0078527Z                     auto tmp20 = static_cast<int>(i0);
2023-01-11T21:01:52.0078603Z                     auto tmp21 = tmp20 >= 1;
2023-01-11T21:01:52.0078692Z                     auto tmp22 = tmp20 <= 3;
2023-01-11T21:01:52.0078781Z                     auto tmp23 = tmp21 & tmp22;
2023-01-11T21:01:52.0078862Z                     float tmp24 = 0.0;
2023-01-11T21:01:52.0078933Z                     if(tmp23)
2023-01-11T21:01:52.0078998Z                     {
2023-01-11T21:01:52.0079167Z                         auto tmp25 = static_cast<int>(3 + ((-1)*i0));
2023-01-11T21:01:52.0079272Z                         auto tmp26 = static_cast<int>(1 + i1);
2023-01-11T21:01:52.0079394Z                         auto tmp27 = in_ptr0[tmp26 + (11*tmp25)];
2023-01-11T21:01:52.0079471Z                         tmp24 = tmp27;
2023-01-11T21:01:52.0079534Z                     }
2023-01-11T21:01:52.0079653Z                     auto tmp28 = tmp19 + tmp24;
2023-01-11T21:01:52.0079746Z                     auto tmp29 = tmp20 >= 3;
2023-01-11T21:01:52.0079835Z                     auto tmp30 = tmp20 <= 6;
2023-01-11T21:01:52.0079924Z                     auto tmp31 = tmp29 & tmp30;
2023-01-11T21:01:52.0079990Z                     float tmp32 = 0.0;
2023-01-11T21:01:52.0080061Z                     if(tmp31)
2023-01-11T21:01:52.0080125Z                     {
2023-01-11T21:01:52.0080298Z                         auto tmp33 = static_cast<int>(17 + ((-1)*i0));
2023-01-11T21:01:52.0080403Z                         auto tmp34 = static_cast<int>(1 + i1);
2023-01-11T21:01:52.0080507Z                         auto tmp35 = in_ptr0[tmp34 + (11*tmp33)];
2023-01-11T21:01:52.0080586Z                         tmp32 = tmp35;
2023-01-11T21:01:52.0080638Z                     }
2023-01-11T21:01:52.0080728Z                     auto tmp36 = tmp28 + tmp32;
2023-01-11T21:01:52.0080818Z                     auto tmp37 = tmp23 & tmp6;
2023-01-11T21:01:52.0080899Z                     float tmp38 = 0.0;
2023-01-11T21:01:52.0080971Z                     if(tmp37)
2023-01-11T21:01:52.0081035Z                     {
2023-01-11T21:01:52.0081204Z                         auto tmp39 = static_cast<int>(3 + ((-1)*i0));
2023-01-11T21:01:52.0081358Z                         auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2023-01-11T21:01:52.0081462Z                         auto tmp41 = in_ptr0[tmp40 + (11*tmp39)];
2023-01-11T21:01:52.0081539Z                         tmp38 = tmp41;
2023-01-11T21:01:52.0081603Z                     }
2023-01-11T21:01:52.0081693Z                     auto tmp42 = tmp36 + tmp38;
2023-01-11T21:01:52.0081782Z                     auto tmp43 = tmp23 & tmp14;
2023-01-11T21:01:52.0081860Z                     float tmp44 = 0.0;
2023-01-11T21:01:52.0081920Z                     if(tmp43)
2023-01-11T21:01:52.0081985Z                     {
2023-01-11T21:01:52.0082151Z                         auto tmp45 = static_cast<int>(3 + ((-1)*i0));
2023-01-11T21:01:52.0082325Z                         auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2023-01-11T21:01:52.0082429Z                         auto tmp47 = in_ptr0[tmp46 + (11*tmp45)];
2023-01-11T21:01:52.0082504Z                         tmp44 = tmp47;
2023-01-11T21:01:52.0082569Z                     }
2023-01-11T21:01:52.0082646Z                     auto tmp48 = tmp42 + tmp44;
2023-01-11T21:01:52.0082735Z                     auto tmp49 = tmp31 & tmp6;
2023-01-11T21:01:52.0082815Z                     float tmp50 = 0.0;
2023-01-11T21:01:52.0082885Z                     if(tmp49)
2023-01-11T21:01:52.0082950Z                     {
2023-01-11T21:01:52.0083121Z                         auto tmp51 = static_cast<int>(17 + ((-1)*i0));
2023-01-11T21:01:52.0083285Z                         auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2023-01-11T21:01:52.0083522Z                         auto tmp53 = in_ptr0[tmp52 + (11*tmp51)];
2023-01-11T21:01:52.0083620Z                         tmp50 = tmp53;
2023-01-11T21:01:52.0083718Z                     }
2023-01-11T21:01:52.0083810Z                     auto tmp54 = tmp48 + tmp50;
2023-01-11T21:01:52.0083899Z                     auto tmp55 = tmp31 & tmp14;
2023-01-11T21:01:52.0083977Z                     float tmp56 = 0.0;
2023-01-11T21:01:52.0084047Z                     if(tmp55)
2023-01-11T21:01:52.0084111Z                     {
2023-01-11T21:01:52.0084271Z                         auto tmp57 = static_cast<int>(17 + ((-1)*i0));
2023-01-11T21:01:52.0084438Z                         auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2023-01-11T21:01:52.0084541Z                         auto tmp59 = in_ptr0[tmp58 + (11*tmp57)];
2023-01-11T21:01:52.0084617Z                         tmp56 = tmp59;
2023-01-11T21:01:52.0084681Z                     }
2023-01-11T21:01:52.0084833Z                     auto tmp60 = tmp54 + tmp56;
2023-01-11T21:01:52.0084925Z                     out_ptr0[i1 + (8*i0)] = tmp60;
2023-01-11T21:01:52.0084977Z                 }
2023-01-11T21:01:52.0085039Z             }
2023-01-11T21:01:52.0085137Z         }
2023-01-11T21:01:52.0085199Z     }
2023-01-11T21:01:52.0085257Z }
2023-01-11T21:01:52.0085335Z ''')
2023-01-11T21:01:52.0085341Z 
2023-01-11T21:01:52.0085346Z 
2023-01-11T21:01:52.0085431Z async_compile.wait(globals())
2023-01-11T21:01:52.0085489Z del async_compile
2023-01-11T21:01:52.0085494Z 
2023-01-11T21:01:52.0085561Z def call(args):
2023-01-11T21:01:52.0085634Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0085703Z     args.clear()
2023-01-11T21:01:52.0085915Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0086048Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0086114Z     del arg0_1
2023-01-11T21:01:52.0086171Z     return (buf0, )
2023-01-11T21:01:52.0086179Z 
2023-01-11T21:01:52.0086196Z 
2023-01-11T21:01:52.0086258Z if __name__ == "__main__":
2023-01-11T21:01:52.0086367Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0086490Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0086708Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0086917Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0087028Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0087296Z [2023-01-11 20:57:44,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378
2023-01-11T21:01:52.0087301Z 
2023-01-11T21:01:52.0087354Z ok (4.739s)
2023-01-11T21:01:52.0087796Z   test_reflection_pad2d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0087926Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0088184Z [2023-01-11 20:57:44,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379
2023-01-11T21:01:52.0088445Z [2023-01-11 20:57:45,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379
2023-01-11T21:01:52.0088451Z 
2023-01-11T21:01:52.0088542Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0088609Z import torch
2023-01-11T21:01:52.0088679Z import random
2023-01-11T21:01:52.0088793Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0088899Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0088917Z 
2023-01-11T21:01:52.0088981Z aten = torch.ops.aten
2023-01-11T21:01:52.0089117Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0089206Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0089211Z 
2023-01-11T21:01:52.0089215Z 
2023-01-11T21:01:52.0089347Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0089550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0089669Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0089766Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0089860Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0089910Z {
2023-01-11T21:01:52.0089985Z     #pragma GCC ivdep
2023-01-11T21:01:52.0090063Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.0090122Z     {
2023-01-11T21:01:52.0090197Z         #pragma GCC ivdep
2023-01-11T21:01:52.0090276Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.0090326Z         {
2023-01-11T21:01:52.0090418Z             {
2023-01-11T21:01:52.0090480Z                 {
2023-01-11T21:01:52.0090576Z                     auto tmp0 = static_cast<int>(7);
2023-01-11T21:01:52.0090675Z                     auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:52.0090796Z                     auto tmp2 = static_cast<int>(1);
2023-01-11T21:01:52.0090926Z                     auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:52.0096334Z                     auto tmp4 = std::abs(tmp3);
2023-01-11T21:01:52.0096512Z                     auto tmp5 = tmp0 - tmp4;
2023-01-11T21:01:52.0096618Z                     auto tmp6 = std::abs(tmp5);
2023-01-11T21:01:52.0096756Z                     auto tmp7 = tmp0 - tmp6;
2023-01-11T21:01:52.0096857Z                     auto tmp8 = static_cast<int>(i1);
2023-01-11T21:01:52.0096980Z                     auto tmp9 = tmp8 - tmp2;
2023-01-11T21:01:52.0097077Z                     auto tmp10 = std::abs(tmp9);
2023-01-11T21:01:52.0097215Z                     auto tmp11 = tmp0 - tmp10;
2023-01-11T21:01:52.0097316Z                     auto tmp12 = std::abs(tmp11);
2023-01-11T21:01:52.0097455Z                     auto tmp13 = tmp0 - tmp12;
2023-01-11T21:01:52.0097558Z                     auto tmp14 = in_ptr0[tmp13 + (8*tmp7)];
2023-01-11T21:01:52.0097653Z                     out_ptr0[i1 + (10*i0)] = tmp14;
2023-01-11T21:01:52.0097706Z                 }
2023-01-11T21:01:52.0097770Z             }
2023-01-11T21:01:52.0097831Z         }
2023-01-11T21:01:52.0097891Z     }
2023-01-11T21:01:52.0097968Z     #pragma GCC ivdep
2023-01-11T21:01:52.0098047Z     for(long i0=0; i0<15; i0+=1)
2023-01-11T21:01:52.0098105Z     {
2023-01-11T21:01:52.0098170Z         #pragma GCC ivdep
2023-01-11T21:01:52.0098250Z         for(long i1=0; i1<11; i1+=1)
2023-01-11T21:01:52.0098312Z         {
2023-01-11T21:01:52.0098372Z             {
2023-01-11T21:01:52.0098433Z                 {
2023-01-11T21:01:52.0098531Z                     auto tmp0 = static_cast<int>(7);
2023-01-11T21:01:52.0098630Z                     auto tmp1 = static_cast<int>(i0);
2023-01-11T21:01:52.0098717Z                     auto tmp2 = static_cast<int>(3);
2023-01-11T21:01:52.0098852Z                     auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:52.0098957Z                     auto tmp4 = std::abs(tmp3);
2023-01-11T21:01:52.0099159Z                     auto tmp5 = tmp0 - tmp4;
2023-01-11T21:01:52.0099292Z                     auto tmp6 = std::abs(tmp5);
2023-01-11T21:01:52.0099477Z                     auto tmp7 = tmp0 - tmp6;
2023-01-11T21:01:52.0099848Z                     auto tmp8 = static_cast<int>(i1);
2023-01-11T21:01:52.0100219Z                     auto tmp9 = static_cast<int>(1);
2023-01-11T21:01:52.0100611Z                     auto tmp10 = tmp8 - tmp9;
2023-01-11T21:01:52.0100889Z                     auto tmp11 = std::abs(tmp10);
2023-01-11T21:01:52.0101342Z                     auto tmp12 = tmp0 - tmp11;
2023-01-11T21:01:52.0101657Z                     auto tmp13 = std::abs(tmp12);
2023-01-11T21:01:52.0102008Z                     auto tmp14 = tmp0 - tmp13;
2023-01-11T21:01:52.0102297Z                     auto tmp15 = in_ptr0[tmp14 + (8*tmp7)];
2023-01-11T21:01:52.0102627Z                     out_ptr1[i1 + (11*i0)] = tmp15;
2023-01-11T21:01:52.0102889Z                 }
2023-01-11T21:01:52.0103091Z             }
2023-01-11T21:01:52.0103332Z         }
2023-01-11T21:01:52.0103558Z     }
2023-01-11T21:01:52.0103750Z }
2023-01-11T21:01:52.0103995Z ''')
2023-01-11T21:01:52.0104125Z 
2023-01-11T21:01:52.0104131Z 
2023-01-11T21:01:52.0104254Z async_compile.wait(globals())
2023-01-11T21:01:52.0104512Z del async_compile
2023-01-11T21:01:52.0104676Z 
2023-01-11T21:01:52.0104784Z def call(args):
2023-01-11T21:01:52.0105054Z     arg0_1, = args
2023-01-11T21:01:52.0105315Z     args.clear()
2023-01-11T21:01:52.0105827Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0106451Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0106976Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0107513Z     del arg0_1
2023-01-11T21:01:52.0107793Z     return (buf0, buf1, )
2023-01-11T21:01:52.0107977Z 
2023-01-11T21:01:52.0107985Z 
2023-01-11T21:01:52.0108167Z if __name__ == "__main__":
2023-01-11T21:01:52.0108485Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0108886Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0109453Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0109911Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0110143Z 
2023-01-11T21:01:52.0110255Z ok (1.565s)
2023-01-11T21:01:52.0111203Z   test_relu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0112135Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0112752Z [2023-01-11 20:57:45,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380
2023-01-11T21:01:52.0113577Z [2023-01-11 20:57:47,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380
2023-01-11T21:01:52.0113901Z 
2023-01-11T21:01:52.0114067Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0114385Z import torch
2023-01-11T21:01:52.0114660Z import random
2023-01-11T21:01:52.0115030Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0115460Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0115715Z 
2023-01-11T21:01:52.0115851Z aten = torch.ops.aten
2023-01-11T21:01:52.0116281Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0116747Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0116987Z 
2023-01-11T21:01:52.0116995Z 
2023-01-11T21:01:52.0117254Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0117856Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0118467Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0118909Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0119311Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0119689Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0120017Z {
2023-01-11T21:01:52.0120305Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0120594Z     {
2023-01-11T21:01:52.0120992Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0121499Z         auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0121985Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:52.0122382Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.0122796Z         auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0));
2023-01-11T21:01:52.0123292Z         auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(10));
2023-01-11T21:01:52.0123921Z         auto tmp6 = tmp4 / tmp5;
2023-01-11T21:01:52.0124278Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0124642Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0124940Z     }
2023-01-11T21:01:52.0125252Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0125606Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0125891Z     {
2023-01-11T21:01:52.0126188Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0126527Z         auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:52.0126855Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:52.0127202Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.0127553Z         auto tmp4 = tmp3 * (tmp3>0);
2023-01-11T21:01:52.0127928Z         auto tmp5 = static_cast<float>(10);
2023-01-11T21:01:52.0128400Z         auto tmp6 = tmp4 / tmp5;
2023-01-11T21:01:52.0128728Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0129053Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0129331Z     }
2023-01-11T21:01:52.0129587Z }
2023-01-11T21:01:52.0129937Z ''')
2023-01-11T21:01:52.0130090Z 
2023-01-11T21:01:52.0130098Z 
2023-01-11T21:01:52.0130256Z async_compile.wait(globals())
2023-01-11T21:01:52.0130591Z del async_compile
2023-01-11T21:01:52.0130771Z 
2023-01-11T21:01:52.0130896Z def call(args):
2023-01-11T21:01:52.0131162Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0131435Z     args.clear()
2023-01-11T21:01:52.0131935Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0132536Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0133116Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0133746Z     del arg0_1
2023-01-11T21:01:52.0134039Z     del arg1_1
2023-01-11T21:01:52.0134336Z     return (buf0, buf1, )
2023-01-11T21:01:52.0134536Z 
2023-01-11T21:01:52.0134544Z 
2023-01-11T21:01:52.0134675Z if __name__ == "__main__":
2023-01-11T21:01:52.0135068Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0135540Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0136156Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0136786Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0137258Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0137516Z 
2023-01-11T21:01:52.0137613Z ok (1.548s)
2023-01-11T21:01:52.0138613Z   test_remainder_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0139666Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0140412Z [2023-01-11 20:57:47,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381
2023-01-11T21:01:52.0141239Z [2023-01-11 20:57:48,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381
2023-01-11T21:01:52.0141604Z 
2023-01-11T21:01:52.0141766Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0142106Z import torch
2023-01-11T21:01:52.0142397Z import random
2023-01-11T21:01:52.0142761Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0143230Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0143513Z 
2023-01-11T21:01:52.0143647Z aten = torch.ops.aten
2023-01-11T21:01:52.0144061Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0144508Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0144732Z 
2023-01-11T21:01:52.0144739Z 
2023-01-11T21:01:52.0144979Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0145567Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0146171Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0146615Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0147027Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0147403Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0147790Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0148107Z {
2023-01-11T21:01:52.0148372Z     #pragma GCC ivdep
2023-01-11T21:01:52.0148698Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0148998Z     {
2023-01-11T21:01:52.0149247Z         {
2023-01-11T21:01:52.0149514Z             {
2023-01-11T21:01:52.0149897Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0150244Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.0150615Z                 auto tmp2 = mod(tmp0, tmp1);
2023-01-11T21:01:52.0151039Z                 auto tmp3 = tmp2 + tmp1;
2023-01-11T21:01:52.0151456Z                 auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2;
2023-01-11T21:01:52.0151866Z                 auto tmp5 = static_cast<float>(1);
2023-01-11T21:01:52.0152241Z                 auto tmp6 = tmp0 + tmp5;
2023-01-11T21:01:52.0152680Z                 auto tmp7 = tmp1 - tmp5;
2023-01-11T21:01:52.0153109Z                 auto tmp8 = mod(tmp6, tmp7);
2023-01-11T21:01:52.0153474Z                 auto tmp9 = tmp8 + tmp7;
2023-01-11T21:01:52.0153889Z                 auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8;
2023-01-11T21:01:52.0154363Z                 auto tmp11 = tmp0 - tmp5;
2023-01-11T21:01:52.0154726Z                 auto tmp12 = tmp1 + tmp5;
2023-01-11T21:01:52.0155103Z                 auto tmp13 = mod(tmp11, tmp12);
2023-01-11T21:01:52.0155455Z                 auto tmp14 = tmp13 + tmp12;
2023-01-11T21:01:52.0155876Z                 auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13;
2023-01-11T21:01:52.0156273Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.0156607Z                 out_ptr1[i0] = tmp10;
2023-01-11T21:01:52.0156923Z                 out_ptr2[i0] = tmp15;
2023-01-11T21:01:52.0157232Z             }
2023-01-11T21:01:52.0157501Z         }
2023-01-11T21:01:52.0157746Z     }
2023-01-11T21:01:52.0157973Z }
2023-01-11T21:01:52.0158255Z ''')
2023-01-11T21:01:52.0158393Z 
2023-01-11T21:01:52.0158398Z 
2023-01-11T21:01:52.0158547Z async_compile.wait(globals())
2023-01-11T21:01:52.0158891Z del async_compile
2023-01-11T21:01:52.0159082Z 
2023-01-11T21:01:52.0159200Z def call(args):
2023-01-11T21:01:52.0159484Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0159732Z     args.clear()
2023-01-11T21:01:52.0160207Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0160712Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0161181Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0161720Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0162206Z     del arg0_1
2023-01-11T21:01:52.0162497Z     del arg1_1
2023-01-11T21:01:52.0162780Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0162969Z 
2023-01-11T21:01:52.0162975Z 
2023-01-11T21:01:52.0163081Z if __name__ == "__main__":
2023-01-11T21:01:52.0163599Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0163976Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0164558Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0165078Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0165445Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0165650Z 
2023-01-11T21:01:52.0165756Z ok (1.557s)
2023-01-11T21:01:52.0166596Z   test_repeat_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0167349Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0167815Z [2023-01-11 20:57:48,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382
2023-01-11T21:01:52.0168262Z [2023-01-11 20:57:50,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382
2023-01-11T21:01:52.0168566Z 
2023-01-11T21:01:52.0168663Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0168858Z import torch
2023-01-11T21:01:52.0169016Z import random
2023-01-11T21:01:52.0169234Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0169541Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0169698Z 
2023-01-11T21:01:52.0169765Z aten = torch.ops.aten
2023-01-11T21:01:52.0170010Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0170263Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0170391Z 
2023-01-11T21:01:52.0170396Z 
2023-01-11T21:01:52.0170537Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0170858Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0171203Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0171447Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0171656Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0171880Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0172062Z {
2023-01-11T21:01:52.0172211Z     #pragma GCC ivdep
2023-01-11T21:01:52.0172399Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0172575Z     {
2023-01-11T21:01:52.0172728Z         #pragma GCC ivdep
2023-01-11T21:01:52.0172914Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0173091Z         {
2023-01-11T21:01:52.0173248Z             #pragma GCC ivdep
2023-01-11T21:01:52.0173446Z             for(long i2=0; i2<12; i2+=1)
2023-01-11T21:01:52.0173621Z             {
2023-01-11T21:01:52.0173789Z                 for(long i3=0; i3<1; i3+=1)
2023-01-11T21:01:52.0173969Z                 {
2023-01-11T21:01:52.0174228Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (8*(i2 % 4)) + (32*(i1 % 2)));
2023-01-11T21:01:52.0174513Z                     tmp0.store(out_ptr0 + (8*i2) + (8*i3) + (96*i1) + (384*i0));
2023-01-11T21:01:52.0174706Z                 }
2023-01-11T21:01:52.0174899Z                 #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0175111Z                 for(long i3=8; i3<8; i3+=1)
2023-01-11T21:01:52.0175279Z                 {
2023-01-11T21:01:52.0175487Z                     auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))];
2023-01-11T21:01:52.0175730Z                     out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0;
2023-01-11T21:01:52.0175909Z                 }
2023-01-11T21:01:52.0176068Z             }
2023-01-11T21:01:52.0176227Z         }
2023-01-11T21:01:52.0176369Z     }
2023-01-11T21:01:52.0176532Z     #pragma GCC ivdep
2023-01-11T21:01:52.0176717Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0176875Z     {
2023-01-11T21:01:52.0177045Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0177220Z         {
2023-01-11T21:01:52.0177430Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2023-01-11T21:01:52.0177687Z             tmp0.store(out_ptr1 + (8*i1) + (64*i0));
2023-01-11T21:01:52.0177940Z         }
2023-01-11T21:01:52.0178158Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0178453Z         for(long i1=64; i1<64; i1+=1)
2023-01-11T21:01:52.0178719Z         {
2023-01-11T21:01:52.0178987Z             auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.0179254Z             out_ptr1[i1 + (64*i0)] = tmp0;
2023-01-11T21:01:52.0179492Z         }
2023-01-11T21:01:52.0179698Z     }
2023-01-11T21:01:52.0179972Z     #pragma GCC ivdep
2023-01-11T21:01:52.0180317Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0180560Z     {
2023-01-11T21:01:52.0180716Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0180890Z         {
2023-01-11T21:01:52.0181117Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2023-01-11T21:01:52.0181358Z             tmp0.store(out_ptr2 + (8*i1) + (64*i0));
2023-01-11T21:01:52.0181547Z         }
2023-01-11T21:01:52.0181728Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0181923Z         for(long i1=64; i1<64; i1+=1)
2023-01-11T21:01:52.0182168Z         {
2023-01-11T21:01:52.0182342Z             auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.0182533Z             out_ptr2[i1 + (64*i0)] = tmp0;
2023-01-11T21:01:52.0182712Z         }
2023-01-11T21:01:52.0182861Z     }
2023-01-11T21:01:52.0183025Z }
2023-01-11T21:01:52.0183211Z ''')
2023-01-11T21:01:52.0183305Z 
2023-01-11T21:01:52.0183309Z 
2023-01-11T21:01:52.0183403Z async_compile.wait(globals())
2023-01-11T21:01:52.0183585Z del async_compile
2023-01-11T21:01:52.0183695Z 
2023-01-11T21:01:52.0183767Z def call(args):
2023-01-11T21:01:52.0183940Z     arg0_1, = args
2023-01-11T21:01:52.0184111Z     args.clear()
2023-01-11T21:01:52.0184418Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0184791Z     buf1 = empty_strided((8, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0185169Z     buf2 = empty_strided((2, 1, 1, 2, 4, 8), (64, 64, 64, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0185510Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0185782Z     del arg0_1
2023-01-11T21:01:52.0185966Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0186088Z 
2023-01-11T21:01:52.0186093Z 
2023-01-11T21:01:52.0186170Z if __name__ == "__main__":
2023-01-11T21:01:52.0186381Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0186645Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0187005Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0187258Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0187397Z 
2023-01-11T21:01:52.0187465Z ok (1.683s)
2023-01-11T21:01:52.0188001Z   test_roi_align_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0188573Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0188975Z [2023-01-11 20:57:52,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383
2023-01-11T21:01:52.0189429Z [2023-01-11 20:57:53,334] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.torchvision.roi_align
2023-01-11T21:01:52.0189965Z [2023-01-11 20:57:53,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383
2023-01-11T21:01:52.0190251Z 
2023-01-11T21:01:52.0190372Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0190608Z import torch
2023-01-11T21:01:52.0190889Z import random
2023-01-11T21:01:52.0191248Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0191600Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0191822Z 
2023-01-11T21:01:52.0191930Z aten = torch.ops.aten
2023-01-11T21:01:52.0192317Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0192765Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0193019Z 
2023-01-11T21:01:52.0193024Z 
2023-01-11T21:01:52.0193114Z async_compile.wait(globals())
2023-01-11T21:01:52.0193307Z del async_compile
2023-01-11T21:01:52.0193416Z 
2023-01-11T21:01:52.0193486Z def call(args):
2023-01-11T21:01:52.0193649Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0193827Z     args.clear()
2023-01-11T21:01:52.0194070Z     buf0 = torch.ops.torchvision.roi_align(arg0_1, arg1_1, 0.25, 7, 7, 2, False)
2023-01-11T21:01:52.0194290Z     del arg0_1
2023-01-11T21:01:52.0194456Z     del arg1_1
2023-01-11T21:01:52.0194620Z     buf1 = buf0
2023-01-11T21:01:52.0194815Z     assert_size_stride(buf1, (2292, 256, 7, 7), (12544, 49, 7, 1))
2023-01-11T21:01:52.0195014Z     del buf0
2023-01-11T21:01:52.0195180Z     return (buf1, )
2023-01-11T21:01:52.0195367Z 
2023-01-11T21:01:52.0195371Z 
2023-01-11T21:01:52.0195434Z if __name__ == "__main__":
2023-01-11T21:01:52.0195652Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0195944Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0196343Z     arg0_1 = rand_strided((4, 256, 296, 304), (23035904, 89984, 304, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0196708Z     arg1_1 = rand_strided((2292, 5), (5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0196975Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0197120Z 
2023-01-11T21:01:52.0197188Z ok (9.306s)
2023-01-11T21:01:52.0197707Z   test_roll_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0198277Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0198688Z [2023-01-11 20:57:59,832] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384
2023-01-11T21:01:52.0199149Z [2023-01-11 20:58:01,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384
2023-01-11T21:01:52.0199347Z 
2023-01-11T21:01:52.0199429Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0199623Z import torch
2023-01-11T21:01:52.0199793Z import random
2023-01-11T21:01:52.0199995Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0200257Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0200409Z 
2023-01-11T21:01:52.0200487Z aten = torch.ops.aten
2023-01-11T21:01:52.0200733Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0200970Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0201098Z 
2023-01-11T21:01:52.0201103Z 
2023-01-11T21:01:52.0201237Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0201573Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0201901Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0202145Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0202368Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0202540Z {
2023-01-11T21:01:52.0202701Z     #pragma GCC ivdep
2023-01-11T21:01:52.0202891Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0203063Z     {
2023-01-11T21:01:52.0203218Z         #pragma GCC ivdep
2023-01-11T21:01:52.0203565Z         for(long i1=0; i1<56; i1+=1)
2023-01-11T21:01:52.0203746Z         {
2023-01-11T21:01:52.0203902Z             #pragma GCC ivdep
2023-01-11T21:01:52.0204099Z             for(long i2=0; i2<56; i2+=1)
2023-01-11T21:01:52.0204283Z             {
2023-01-11T21:01:52.0204455Z                 for(long i3=0; i3<2; i3+=1)
2023-01-11T21:01:52.0204639Z                 {
2023-01-11T21:01:52.0204910Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0));
2023-01-11T21:01:52.0205193Z                     tmp0.store(out_ptr0 + (8*i3) + (16*i2) + (896*i1) + (50176*i0));
2023-01-11T21:01:52.0205398Z                 }
2023-01-11T21:01:52.0205593Z                 #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0205795Z                 for(long i3=16; i3<16; i3+=1)
2023-01-11T21:01:52.0205978Z                 {
2023-01-11T21:01:52.0206198Z                     auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)];
2023-01-11T21:01:52.0206454Z                     out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0;
2023-01-11T21:01:52.0206637Z                 }
2023-01-11T21:01:52.0206799Z             }
2023-01-11T21:01:52.0206955Z         }
2023-01-11T21:01:52.0207161Z     }
2023-01-11T21:01:52.0207324Z     #pragma GCC ivdep
2023-01-11T21:01:52.0207513Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0207673Z     {
2023-01-11T21:01:52.0207839Z         #pragma GCC ivdep
2023-01-11T21:01:52.0208069Z         for(long i1=0; i1<56; i1+=1)
2023-01-11T21:01:52.0208234Z         {
2023-01-11T21:01:52.0208403Z             #pragma GCC ivdep
2023-01-11T21:01:52.0208600Z             for(long i2=0; i2<56; i2+=1)
2023-01-11T21:01:52.0208764Z             {
2023-01-11T21:01:52.0208940Z                 #pragma GCC ivdep
2023-01-11T21:01:52.0209142Z                 for(long i3=0; i3<16; i3+=1)
2023-01-11T21:01:52.0209308Z                 {
2023-01-11T21:01:52.0209475Z                     {
2023-01-11T21:01:52.0209642Z                         {
2023-01-11T21:01:52.0209854Z                             auto tmp0 = in_ptr0[(100347 + i3 + (16*i2) + (896*i1) + (50176*i0)) % 100352];
2023-01-11T21:01:52.0210109Z                             out_ptr1[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0;
2023-01-11T21:01:52.0210312Z                         }
2023-01-11T21:01:52.0210464Z                     }
2023-01-11T21:01:52.0210625Z                 }
2023-01-11T21:01:52.0210783Z             }
2023-01-11T21:01:52.0210926Z         }
2023-01-11T21:01:52.0211080Z     }
2023-01-11T21:01:52.0211230Z }
2023-01-11T21:01:52.0211392Z ''')
2023-01-11T21:01:52.0211484Z 
2023-01-11T21:01:52.0211489Z 
2023-01-11T21:01:52.0211580Z async_compile.wait(globals())
2023-01-11T21:01:52.0211773Z del async_compile
2023-01-11T21:01:52.0211883Z 
2023-01-11T21:01:52.0211954Z def call(args):
2023-01-11T21:01:52.0212111Z     arg0_1, = args
2023-01-11T21:01:52.0212285Z     args.clear()
2023-01-11T21:01:52.0212611Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0212974Z     buf1 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0213294Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0213542Z     del arg0_1
2023-01-11T21:01:52.0213703Z     return (buf0, buf1, )
2023-01-11T21:01:52.0213816Z 
2023-01-11T21:01:52.0213820Z 
2023-01-11T21:01:52.0213897Z if __name__ == "__main__":
2023-01-11T21:01:52.0214121Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0214385Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0214808Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0215186Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0215380Z 
2023-01-11T21:01:52.0215480Z ok (1.800s)
2023-01-11T21:01:52.0216386Z   test_round_correctness_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0217340Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0218058Z [2023-01-11 20:58:01,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385
2023-01-11T21:01:52.0218854Z [2023-01-11 20:58:03,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385
2023-01-11T21:01:52.0219223Z 
2023-01-11T21:01:52.0219373Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0219724Z import torch
2023-01-11T21:01:52.0220023Z import random
2023-01-11T21:01:52.0220405Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0220856Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0221136Z 
2023-01-11T21:01:52.0221273Z aten = torch.ops.aten
2023-01-11T21:01:52.0221710Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0222133Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0222444Z 
2023-01-11T21:01:52.0222452Z 
2023-01-11T21:01:52.0222695Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0223292Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0223941Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.0224382Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.0224710Z {
2023-01-11T21:01:52.0224991Z     #pragma GCC ivdep
2023-01-11T21:01:52.0225306Z     for(long i0=0; i0<200; i0+=1)
2023-01-11T21:01:52.0225609Z     {
2023-01-11T21:01:52.0225868Z         {
2023-01-11T21:01:52.0226118Z             {
2023-01-11T21:01:52.0226434Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0226831Z                 auto tmp1 = std::nearbyint(tmp0);
2023-01-11T21:01:52.0227182Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0227493Z             }
2023-01-11T21:01:52.0227769Z         }
2023-01-11T21:01:52.0228015Z     }
2023-01-11T21:01:52.0228281Z }
2023-01-11T21:01:52.0228561Z ''')
2023-01-11T21:01:52.0228710Z 
2023-01-11T21:01:52.0228718Z 
2023-01-11T21:01:52.0228871Z async_compile.wait(globals())
2023-01-11T21:01:52.0229207Z del async_compile
2023-01-11T21:01:52.0229398Z 
2023-01-11T21:01:52.0229523Z def call(args):
2023-01-11T21:01:52.0229803Z     arg0_1, = args
2023-01-11T21:01:52.0230096Z     args.clear()
2023-01-11T21:01:52.0230623Z     buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.0231121Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0231513Z     del arg0_1
2023-01-11T21:01:52.0231808Z     return (buf0, )
2023-01-11T21:01:52.0232000Z 
2023-01-11T21:01:52.0232007Z 
2023-01-11T21:01:52.0232135Z if __name__ == "__main__":
2023-01-11T21:01:52.0232511Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0233049Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0233678Z     arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.0234132Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0234382Z 
2023-01-11T21:01:52.0234497Z ok (1.524s)
2023-01-11T21:01:52.0235482Z   test_round_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0236506Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0237242Z [2023-01-11 20:58:03,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386
2023-01-11T21:01:52.0238059Z [2023-01-11 20:58:04,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386
2023-01-11T21:01:52.0238415Z 
2023-01-11T21:01:52.0238587Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0238930Z import torch
2023-01-11T21:01:52.0239212Z import random
2023-01-11T21:01:52.0239595Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0240068Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0240330Z 
2023-01-11T21:01:52.0240465Z aten = torch.ops.aten
2023-01-11T21:01:52.0240892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0241340Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0241570Z 
2023-01-11T21:01:52.0241578Z 
2023-01-11T21:01:52.0241802Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0242404Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0243022Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0243586Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0243975Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0244448Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0244834Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0245141Z {
2023-01-11T21:01:52.0245474Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0245779Z     {
2023-01-11T21:01:52.0246159Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0246577Z         auto tmp1 = tmp0.round();
2023-01-11T21:01:52.0247018Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(100.0));
2023-01-11T21:01:52.0247421Z         auto tmp3 = tmp0 * tmp2;
2023-01-11T21:01:52.0247765Z         auto tmp4 = tmp3.round();
2023-01-11T21:01:52.0248200Z         auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(0.01));
2023-01-11T21:01:52.0248614Z         auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.0248954Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0249320Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0249638Z     }
2023-01-11T21:01:52.0249931Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0250286Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0250585Z     {
2023-01-11T21:01:52.0250865Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0251237Z         auto tmp1 = std::nearbyint(tmp0);
2023-01-11T21:01:52.0251633Z         auto tmp2 = static_cast<float>(100.0);
2023-01-11T21:01:52.0251980Z         auto tmp3 = tmp0 * tmp2;
2023-01-11T21:01:52.0252345Z         auto tmp4 = std::nearbyint(tmp3);
2023-01-11T21:01:52.0252734Z         auto tmp5 = static_cast<float>(0.01);
2023-01-11T21:01:52.0253089Z         auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.0253422Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0253743Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0254021Z     }
2023-01-11T21:01:52.0254314Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0254617Z     {
2023-01-11T21:01:52.0254990Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0255495Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0255909Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0256238Z         auto tmp3 = tmp2.round();
2023-01-11T21:01:52.0256595Z         tmp3.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0256914Z     }
2023-01-11T21:01:52.0257221Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0257552Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0257844Z     {
2023-01-11T21:01:52.0258142Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0258470Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0258816Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0259163Z         auto tmp3 = std::nearbyint(tmp2);
2023-01-11T21:01:52.0259501Z         out_ptr2[i0] = tmp3;
2023-01-11T21:01:52.0259791Z     }
2023-01-11T21:01:52.0260044Z }
2023-01-11T21:01:52.0260319Z ''')
2023-01-11T21:01:52.0260486Z 
2023-01-11T21:01:52.0260493Z 
2023-01-11T21:01:52.0260648Z async_compile.wait(globals())
2023-01-11T21:01:52.0260990Z del async_compile
2023-01-11T21:01:52.0261182Z 
2023-01-11T21:01:52.0261282Z def call(args):
2023-01-11T21:01:52.0261595Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0261906Z     args.clear()
2023-01-11T21:01:52.0262427Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0263057Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0263676Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0264327Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0264828Z     del arg0_1
2023-01-11T21:01:52.0265119Z     del arg1_1
2023-01-11T21:01:52.0265436Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0265645Z 
2023-01-11T21:01:52.0265653Z 
2023-01-11T21:01:52.0265768Z if __name__ == "__main__":
2023-01-11T21:01:52.0266161Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0266697Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0267310Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0267997Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0268476Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0268735Z 
2023-01-11T21:01:52.0268846Z ok (1.555s)
2023-01-11T21:01:52.0269811Z   test_rsqrt_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0270835Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0271582Z [2023-01-11 20:58:04,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387
2023-01-11T21:01:52.0272423Z [2023-01-11 20:58:06,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387
2023-01-11T21:01:52.0272774Z 
2023-01-11T21:01:52.0273007Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0273354Z import torch
2023-01-11T21:01:52.0273472Z import random
2023-01-11T21:01:52.0273676Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0273893Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0273902Z 
2023-01-11T21:01:52.0274037Z aten = torch.ops.aten
2023-01-11T21:01:52.0274261Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0274420Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0274429Z 
2023-01-11T21:01:52.0274436Z 
2023-01-11T21:01:52.0274677Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0275046Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0275262Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0275433Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0275603Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0275705Z {
2023-01-11T21:01:52.0275826Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0275933Z     {
2023-01-11T21:01:52.0276166Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0276311Z         auto tmp1 = tmp0.rsqrt();
2023-01-11T21:01:52.0276542Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0276684Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.0276827Z         auto tmp4 = tmp3.rsqrt();
2023-01-11T21:01:52.0277041Z         auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0277254Z         auto tmp6 = tmp4 - tmp5;
2023-01-11T21:01:52.0277405Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0277561Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0277664Z     }
2023-01-11T21:01:52.0277818Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0277954Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0278042Z     {
2023-01-11T21:01:52.0278185Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0278345Z         auto tmp1 = 1 / std::sqrt(tmp0);
2023-01-11T21:01:52.0278508Z         auto tmp2 = static_cast<float>(1);
2023-01-11T21:01:52.0278649Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.0278807Z         auto tmp4 = 1 / std::sqrt(tmp3);
2023-01-11T21:01:52.0278972Z         auto tmp5 = static_cast<float>(2);
2023-01-11T21:01:52.0279165Z         auto tmp6 = tmp4 - tmp5;
2023-01-11T21:01:52.0279297Z         out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0279429Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0279540Z     }
2023-01-11T21:01:52.0279645Z }
2023-01-11T21:01:52.0279778Z ''')
2023-01-11T21:01:52.0279787Z 
2023-01-11T21:01:52.0279794Z 
2023-01-11T21:01:52.0279998Z async_compile.wait(globals())
2023-01-11T21:01:52.0280104Z del async_compile
2023-01-11T21:01:52.0280112Z 
2023-01-11T21:01:52.0280231Z def call(args):
2023-01-11T21:01:52.0280348Z     arg0_1, = args
2023-01-11T21:01:52.0280468Z     args.clear()
2023-01-11T21:01:52.0280855Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0281198Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0281485Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0281585Z     del arg0_1
2023-01-11T21:01:52.0281716Z     return (buf0, buf1, )
2023-01-11T21:01:52.0281725Z 
2023-01-11T21:01:52.0281733Z 
2023-01-11T21:01:52.0281864Z if __name__ == "__main__":
2023-01-11T21:01:52.0282062Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0282279Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0282633Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0282823Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0282832Z 
2023-01-11T21:01:52.0282945Z ok (1.535s)
2023-01-11T21:01:52.0283895Z   test_scatter1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0284122Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0284585Z [2023-01-11 20:58:06,239] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388
2023-01-11T21:01:52.0285073Z [2023-01-11 20:58:07,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388
2023-01-11T21:01:52.0285082Z 
2023-01-11T21:01:52.0285247Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0285364Z import torch
2023-01-11T21:01:52.0285486Z import random
2023-01-11T21:01:52.0285691Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0285911Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0285920Z 
2023-01-11T21:01:52.0286052Z aten = torch.ops.aten
2023-01-11T21:01:52.0286271Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0286428Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0286437Z 
2023-01-11T21:01:52.0286444Z 
2023-01-11T21:01:52.0286684Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0287051Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0287260Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0287445Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0287627Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0287802Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0287889Z {
2023-01-11T21:01:52.0288020Z     #pragma GCC ivdep
2023-01-11T21:01:52.0288157Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:52.0288264Z     {
2023-01-11T21:01:52.0288375Z         {
2023-01-11T21:01:52.0288485Z             {
2023-01-11T21:01:52.0288621Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0288759Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0288867Z             }
2023-01-11T21:01:52.0288975Z         }
2023-01-11T21:01:52.0289082Z     }
2023-01-11T21:01:52.0289188Z     {
2023-01-11T21:01:52.0289295Z         {
2023-01-11T21:01:52.0289423Z             auto tmp0 = in_ptr1[0];
2023-01-11T21:01:52.0289566Z             auto tmp1 = in_ptr2[0];
2023-01-11T21:01:52.0289706Z             out_ptr0[tmp0] = tmp1;
2023-01-11T21:01:52.0289810Z         }
2023-01-11T21:01:52.0289916Z     }
2023-01-11T21:01:52.0290016Z }
2023-01-11T21:01:52.0290131Z ''')
2023-01-11T21:01:52.0290210Z 
2023-01-11T21:01:52.0290233Z 
2023-01-11T21:01:52.0290374Z async_compile.wait(globals())
2023-01-11T21:01:52.0290496Z del async_compile
2023-01-11T21:01:52.0290504Z 
2023-01-11T21:01:52.0290627Z def call(args):
2023-01-11T21:01:52.0290841Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0290960Z     args.clear()
2023-01-11T21:01:52.0291316Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0291658Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0291760Z     del arg0_1
2023-01-11T21:01:52.0291871Z     del arg1_1
2023-01-11T21:01:52.0291985Z     del arg2_1
2023-01-11T21:01:52.0292102Z     return (buf0, )
2023-01-11T21:01:52.0292110Z 
2023-01-11T21:01:52.0292118Z 
2023-01-11T21:01:52.0292251Z if __name__ == "__main__":
2023-01-11T21:01:52.0292453Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0292663Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0292970Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0293315Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0293642Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0293832Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0293839Z 
2023-01-11T21:01:52.0293928Z ok (1.537s)
2023-01-11T21:01:52.0294662Z   test_scatter2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0294894Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0295201Z [2023-01-11 20:58:07,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389
2023-01-11T21:01:52.0295472Z [2023-01-11 20:58:09,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389
2023-01-11T21:01:52.0295478Z 
2023-01-11T21:01:52.0295574Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0295631Z import torch
2023-01-11T21:01:52.0295703Z import random
2023-01-11T21:01:52.0295817Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0295938Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0295943Z 
2023-01-11T21:01:52.0296022Z aten = torch.ops.aten
2023-01-11T21:01:52.0296155Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0296247Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0296252Z 
2023-01-11T21:01:52.0296257Z 
2023-01-11T21:01:52.0296391Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0296584Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0296707Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0296814Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0296921Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0297021Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0297083Z {
2023-01-11T21:01:52.0297166Z     for(long i0=0; i0<4096; i0+=1)
2023-01-11T21:01:52.0297215Z     {
2023-01-11T21:01:52.0297351Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0297440Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0297501Z     }
2023-01-11T21:01:52.0297588Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0297672Z     for(long i0=32768; i0<32768; i0+=1)
2023-01-11T21:01:52.0297732Z     {
2023-01-11T21:01:52.0297800Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0297877Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0297998Z     }
2023-01-11T21:01:52.0298076Z     #pragma GCC ivdep
2023-01-11T21:01:52.0298155Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0298217Z     {
2023-01-11T21:01:52.0298296Z         #pragma GCC ivdep
2023-01-11T21:01:52.0298403Z         for(long i1=0; i1<512; i1+=1)
2023-01-11T21:01:52.0298468Z         {
2023-01-11T21:01:52.0298531Z             {
2023-01-11T21:01:52.0298595Z                 {
2023-01-11T21:01:52.0298695Z                     auto tmp0 = in_ptr1[i1 + (512*i0)];
2023-01-11T21:01:52.0298794Z                     auto tmp1 = in_ptr2[i1 + (512*i0)];
2023-01-11T21:01:52.0298878Z                     out_ptr0[i1 + (512*tmp0)] += tmp1;
2023-01-11T21:01:52.0298942Z                 }
2023-01-11T21:01:52.0299005Z             }
2023-01-11T21:01:52.0299068Z         }
2023-01-11T21:01:52.0299129Z     }
2023-01-11T21:01:52.0299189Z }
2023-01-11T21:01:52.0299269Z ''')
2023-01-11T21:01:52.0299274Z 
2023-01-11T21:01:52.0299278Z 
2023-01-11T21:01:52.0299357Z async_compile.wait(globals())
2023-01-11T21:01:52.0299431Z del async_compile
2023-01-11T21:01:52.0299436Z 
2023-01-11T21:01:52.0299502Z def call(args):
2023-01-11T21:01:52.0299583Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0299654Z     args.clear()
2023-01-11T21:01:52.0299860Z     buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0300050Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0300118Z     del arg0_1
2023-01-11T21:01:52.0300171Z     del arg1_1
2023-01-11T21:01:52.0300236Z     del arg2_1
2023-01-11T21:01:52.0300309Z     return (buf0, )
2023-01-11T21:01:52.0300313Z 
2023-01-11T21:01:52.0300318Z 
2023-01-11T21:01:52.0300392Z if __name__ == "__main__":
2023-01-11T21:01:52.0300507Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0300630Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0300836Z     arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0301020Z     arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0301222Z     arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0301344Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0301349Z 
2023-01-11T21:01:52.0301417Z ok (1.540s)
2023-01-11T21:01:52.0301853Z   test_scatter3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0301982Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0302242Z [2023-01-11 20:58:09,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390
2023-01-11T21:01:52.0302510Z [2023-01-11 20:58:10,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390
2023-01-11T21:01:52.0302516Z 
2023-01-11T21:01:52.0302612Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0302682Z import torch
2023-01-11T21:01:52.0302739Z import random
2023-01-11T21:01:52.0302853Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0302974Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0302980Z 
2023-01-11T21:01:52.0303058Z aten = torch.ops.aten
2023-01-11T21:01:52.0303191Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0303283Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0303288Z 
2023-01-11T21:01:52.0303292Z 
2023-01-11T21:01:52.0303424Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0303629Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0303765Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0303871Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0303998Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0304060Z {
2023-01-11T21:01:52.0304143Z     for(long i0=0; i0<235; i0+=1)
2023-01-11T21:01:52.0304204Z     {
2023-01-11T21:01:52.0304337Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0304412Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0304474Z     }
2023-01-11T21:01:52.0304561Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0304643Z     for(long i0=1880; i0<1885; i0+=1)
2023-01-11T21:01:52.0304706Z     {
2023-01-11T21:01:52.0304786Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0304864Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0304911Z     }
2023-01-11T21:01:52.0304988Z     #pragma GCC ivdep
2023-01-11T21:01:52.0305066Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0305129Z     {
2023-01-11T21:01:52.0305190Z         {
2023-01-11T21:01:52.0305253Z             {
2023-01-11T21:01:52.0305327Z                 auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0305432Z                 auto tmp1 = static_cast<float>(0.8);
2023-01-11T21:01:52.0305517Z                 out_ptr0[tmp0] += tmp1;
2023-01-11T21:01:52.0305580Z             }
2023-01-11T21:01:52.0305645Z         }
2023-01-11T21:01:52.0305706Z     }
2023-01-11T21:01:52.0305767Z }
2023-01-11T21:01:52.0305832Z ''')
2023-01-11T21:01:52.0305836Z 
2023-01-11T21:01:52.0305841Z 
2023-01-11T21:01:52.0305934Z async_compile.wait(globals())
2023-01-11T21:01:52.0306007Z del async_compile
2023-01-11T21:01:52.0306012Z 
2023-01-11T21:01:52.0306082Z def call(args):
2023-01-11T21:01:52.0306156Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0306226Z     args.clear()
2023-01-11T21:01:52.0306434Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0306599Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0306653Z     del arg0_1
2023-01-11T21:01:52.0306718Z     del arg1_1
2023-01-11T21:01:52.0306791Z     return (buf0, )
2023-01-11T21:01:52.0306796Z 
2023-01-11T21:01:52.0306802Z 
2023-01-11T21:01:52.0306879Z if __name__ == "__main__":
2023-01-11T21:01:52.0306991Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0307114Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0307325Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0307510Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0307625Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0307630Z 
2023-01-11T21:01:52.0307697Z ok (1.541s)
2023-01-11T21:01:52.0308137Z   test_scatter4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0308268Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0308527Z [2023-01-11 20:58:10,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391
2023-01-11T21:01:52.0308791Z [2023-01-11 20:58:12,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391
2023-01-11T21:01:52.0308797Z 
2023-01-11T21:01:52.0308891Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0308962Z import torch
2023-01-11T21:01:52.0309031Z import random
2023-01-11T21:01:52.0309131Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0309253Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0309289Z 
2023-01-11T21:01:52.0309368Z aten = torch.ops.aten
2023-01-11T21:01:52.0309501Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0309592Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0309597Z 
2023-01-11T21:01:52.0309601Z 
2023-01-11T21:01:52.0309763Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0309969Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0310088Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0310179Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0310283Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0310382Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0310444Z {
2023-01-11T21:01:52.0310526Z     for(long i0=0; i0<24304; i0+=1)
2023-01-11T21:01:52.0310588Z     {
2023-01-11T21:01:52.0310719Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0310795Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0310855Z     }
2023-01-11T21:01:52.0310944Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0311034Z     for(long i0=194432; i0<194432; i0+=1)
2023-01-11T21:01:52.0311097Z     {
2023-01-11T21:01:52.0311178Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0311257Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0311306Z     }
2023-01-11T21:01:52.0311381Z     #pragma GCC ivdep
2023-01-11T21:01:52.0311460Z     for(long i0=0; i0<992; i0+=1)
2023-01-11T21:01:52.0311521Z     {
2023-01-11T21:01:52.0311583Z         {
2023-01-11T21:01:52.0311646Z             {
2023-01-11T21:01:52.0311720Z                 auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0311805Z                 auto tmp1 = in_ptr2[i0];
2023-01-11T21:01:52.0311901Z                 out_ptr0[i0 + (992*tmp0)] = tmp1;
2023-01-11T21:01:52.0311964Z             }
2023-01-11T21:01:52.0312026Z         }
2023-01-11T21:01:52.0312087Z     }
2023-01-11T21:01:52.0312150Z }
2023-01-11T21:01:52.0312215Z ''')
2023-01-11T21:01:52.0312220Z 
2023-01-11T21:01:52.0312224Z 
2023-01-11T21:01:52.0312312Z async_compile.wait(globals())
2023-01-11T21:01:52.0312384Z del async_compile
2023-01-11T21:01:52.0312389Z 
2023-01-11T21:01:52.0312461Z def call(args):
2023-01-11T21:01:52.0312541Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0312612Z     args.clear()
2023-01-11T21:01:52.0312816Z     buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0313085Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0313152Z     del arg0_1
2023-01-11T21:01:52.0313216Z     del arg1_1
2023-01-11T21:01:52.0313281Z     del arg2_1
2023-01-11T21:01:52.0313351Z     return (buf0, )
2023-01-11T21:01:52.0313356Z 
2023-01-11T21:01:52.0313360Z 
2023-01-11T21:01:52.0313435Z if __name__ == "__main__":
2023-01-11T21:01:52.0313550Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0313678Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0313869Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0314070Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0314272Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0314394Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0314400Z 
2023-01-11T21:01:52.0314471Z ok (1.536s)
2023-01-11T21:01:52.0314623Z   test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s)
2023-01-11T21:01:52.0315064Z   test_scatter_add2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0315223Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0315553Z [2023-01-11 20:58:12,393] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392
2023-01-11T21:01:52.0315805Z [2023-01-11 20:58:13,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392
2023-01-11T21:01:52.0315822Z 
2023-01-11T21:01:52.0315902Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0315972Z import torch
2023-01-11T21:01:52.0316042Z import random
2023-01-11T21:01:52.0316157Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0316275Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0316280Z 
2023-01-11T21:01:52.0316358Z aten = torch.ops.aten
2023-01-11T21:01:52.0316491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0316568Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0316576Z 
2023-01-11T21:01:52.0316595Z 
2023-01-11T21:01:52.0316715Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0316923Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0317042Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0317145Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0317248Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0317348Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0317410Z {
2023-01-11T21:01:52.0317472Z     #pragma GCC ivdep
2023-01-11T21:01:52.0317550Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:52.0317612Z     {
2023-01-11T21:01:52.0317672Z         {
2023-01-11T21:01:52.0317737Z             {
2023-01-11T21:01:52.0317824Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0317906Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0317958Z             }
2023-01-11T21:01:52.0318021Z         }
2023-01-11T21:01:52.0318082Z     }
2023-01-11T21:01:52.0318156Z     #pragma GCC ivdep
2023-01-11T21:01:52.0318233Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0318294Z     {
2023-01-11T21:01:52.0318358Z         #pragma GCC ivdep
2023-01-11T21:01:52.0318438Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0318500Z         {
2023-01-11T21:01:52.0318562Z             {
2023-01-11T21:01:52.0318627Z                 {
2023-01-11T21:01:52.0318726Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2023-01-11T21:01:52.0318822Z                     auto tmp1 = in_ptr2[i1 + (3*i0)];
2023-01-11T21:01:52.0318903Z                     out_ptr0[i1 + (3*tmp0)] += tmp1;
2023-01-11T21:01:52.0318968Z                 }
2023-01-11T21:01:52.0319031Z             }
2023-01-11T21:01:52.0319092Z         }
2023-01-11T21:01:52.0319152Z     }
2023-01-11T21:01:52.0319214Z }
2023-01-11T21:01:52.0319279Z ''')
2023-01-11T21:01:52.0319298Z 
2023-01-11T21:01:52.0319305Z 
2023-01-11T21:01:52.0319379Z async_compile.wait(globals())
2023-01-11T21:01:52.0319451Z del async_compile
2023-01-11T21:01:52.0319459Z 
2023-01-11T21:01:52.0319530Z def call(args):
2023-01-11T21:01:52.0319612Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0319685Z     args.clear()
2023-01-11T21:01:52.0319890Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0320168Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0320245Z     del arg0_1
2023-01-11T21:01:52.0320332Z     del arg1_1
2023-01-11T21:01:52.0320429Z     del arg2_1
2023-01-11T21:01:52.0320546Z     return (buf0, )
2023-01-11T21:01:52.0320554Z 
2023-01-11T21:01:52.0320562Z 
2023-01-11T21:01:52.0320681Z if __name__ == "__main__":
2023-01-11T21:01:52.0320826Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0320985Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0321343Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0321600Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0321982Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0322173Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0322181Z 
2023-01-11T21:01:52.0322293Z ok (1.527s)
2023-01-11T21:01:52.0323005Z   test_scatter_add3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0323174Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0323724Z [2023-01-11 20:58:13,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393
2023-01-11T21:01:52.0324227Z [2023-01-11 20:58:15,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393
2023-01-11T21:01:52.0324241Z 
2023-01-11T21:01:52.0324400Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0324496Z import torch
2023-01-11T21:01:52.0324613Z import random
2023-01-11T21:01:52.0324812Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0325029Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0325038Z 
2023-01-11T21:01:52.0325166Z aten = torch.ops.aten
2023-01-11T21:01:52.0325377Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0325532Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0325539Z 
2023-01-11T21:01:52.0325547Z 
2023-01-11T21:01:52.0325793Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0326148Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0326353Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0326511Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0326687Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0326858Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0326961Z {
2023-01-11T21:01:52.0327101Z     for(long i0=0; i0<235; i0+=1)
2023-01-11T21:01:52.0327190Z     {
2023-01-11T21:01:52.0327416Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0327567Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0327672Z     }
2023-01-11T21:01:52.0327828Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0327969Z     for(long i0=1880; i0<1885; i0+=1)
2023-01-11T21:01:52.0328070Z     {
2023-01-11T21:01:52.0328195Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0328327Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0328431Z     }
2023-01-11T21:01:52.0328561Z     #pragma GCC ivdep
2023-01-11T21:01:52.0328694Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0328791Z     {
2023-01-11T21:01:52.0328895Z         {
2023-01-11T21:01:52.0328990Z             {
2023-01-11T21:01:52.0329146Z                 auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0329295Z                 auto tmp1 = in_ptr2[i0];
2023-01-11T21:01:52.0329435Z                 out_ptr0[tmp0] += tmp1;
2023-01-11T21:01:52.0329541Z             }
2023-01-11T21:01:52.0329645Z         }
2023-01-11T21:01:52.0329750Z     }
2023-01-11T21:01:52.0329838Z }
2023-01-11T21:01:52.0329981Z ''')
2023-01-11T21:01:52.0329989Z 
2023-01-11T21:01:52.0329997Z 
2023-01-11T21:01:52.0330146Z async_compile.wait(globals())
2023-01-11T21:01:52.0330264Z del async_compile
2023-01-11T21:01:52.0330273Z 
2023-01-11T21:01:52.0330394Z def call(args):
2023-01-11T21:01:52.0330533Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0330650Z     args.clear()
2023-01-11T21:01:52.0331001Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0331436Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0331605Z     del arg0_1
2023-01-11T21:01:52.0331722Z     del arg1_1
2023-01-11T21:01:52.0331838Z     del arg2_1
2023-01-11T21:01:52.0331956Z     return (buf0, )
2023-01-11T21:01:52.0331965Z 
2023-01-11T21:01:52.0331972Z 
2023-01-11T21:01:52.0332101Z if __name__ == "__main__":
2023-01-11T21:01:52.0332303Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0332510Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0332903Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0333263Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0333643Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0333865Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0333874Z 
2023-01-11T21:01:52.0333978Z ok (1.537s)
2023-01-11T21:01:52.0334436Z   test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1739] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2023-01-11T21:01:52.0335166Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0335388Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0335856Z [2023-01-11 20:58:15,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394
2023-01-11T21:01:52.0336333Z [2023-01-11 20:58:15,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394
2023-01-11T21:01:52.0336346Z 
2023-01-11T21:01:52.0336511Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0336633Z import torch
2023-01-11T21:01:52.0336760Z import random
2023-01-11T21:01:52.0336969Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0337173Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0337181Z 
2023-01-11T21:01:52.0337318Z aten = torch.ops.aten
2023-01-11T21:01:52.0337543Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0337702Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0337711Z 
2023-01-11T21:01:52.0337719Z 
2023-01-11T21:01:52.0337958Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0338336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0338549Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0338728Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0338905Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0339075Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0339164Z {
2023-01-11T21:01:52.0339304Z     for(long i0=0; i0<235; i0+=1)
2023-01-11T21:01:52.0339404Z     {
2023-01-11T21:01:52.0339627Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0339778Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0339883Z     }
2023-01-11T21:01:52.0340032Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0340157Z     for(long i0=1880; i0<1885; i0+=1)
2023-01-11T21:01:52.0340261Z     {
2023-01-11T21:01:52.0340402Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0340538Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0340639Z     }
2023-01-11T21:01:52.0340760Z     #pragma GCC ivdep
2023-01-11T21:01:52.0340893Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0341050Z     {
2023-01-11T21:01:52.0341151Z         {
2023-01-11T21:01:52.0341261Z             {
2023-01-11T21:01:52.0341407Z                 auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0341552Z                 auto tmp1 = in_ptr2[i0];
2023-01-11T21:01:52.0341744Z                 out_ptr0[tmp0] += tmp1;
2023-01-11T21:01:52.0341839Z             }
2023-01-11T21:01:52.0341943Z         }
2023-01-11T21:01:52.0342045Z     }
2023-01-11T21:01:52.0342148Z }
2023-01-11T21:01:52.0342289Z ''')
2023-01-11T21:01:52.0342299Z 
2023-01-11T21:01:52.0342306Z 
2023-01-11T21:01:52.0342458Z async_compile.wait(globals())
2023-01-11T21:01:52.0342581Z del async_compile
2023-01-11T21:01:52.0342590Z 
2023-01-11T21:01:52.0342708Z def call(args):
2023-01-11T21:01:52.0342830Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0342951Z     args.clear()
2023-01-11T21:01:52.0343312Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0343646Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0343768Z     del arg0_1
2023-01-11T21:01:52.0343880Z     del arg1_1
2023-01-11T21:01:52.0343985Z     del arg2_1
2023-01-11T21:01:52.0344094Z     return (buf0, )
2023-01-11T21:01:52.0344102Z 
2023-01-11T21:01:52.0344108Z 
2023-01-11T21:01:52.0344239Z if __name__ == "__main__":
2023-01-11T21:01:52.0344439Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0344662Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0345037Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0345406Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0345767Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0345976Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0345991Z 
2023-01-11T21:01:52.0346087Z ok (0.038s)
2023-01-11T21:01:52.0346890Z   test_scatter_reduce2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0347123Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0347604Z [2023-01-11 20:58:15,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395
2023-01-11T21:01:52.0348104Z [2023-01-11 20:58:17,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395
2023-01-11T21:01:52.0348114Z 
2023-01-11T21:01:52.0348275Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0348394Z import torch
2023-01-11T21:01:52.0348509Z import random
2023-01-11T21:01:52.0348719Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0348911Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0348923Z 
2023-01-11T21:01:52.0349058Z aten = torch.ops.aten
2023-01-11T21:01:52.0349290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0349448Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0349457Z 
2023-01-11T21:01:52.0349465Z 
2023-01-11T21:01:52.0349711Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0350074Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0350283Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0350468Z                        const long* __restrict__ in_ptr1,
2023-01-11T21:01:52.0350631Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0350800Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0350900Z {
2023-01-11T21:01:52.0351096Z     #pragma GCC ivdep
2023-01-11T21:01:52.0351235Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:52.0351341Z     {
2023-01-11T21:01:52.0351448Z         {
2023-01-11T21:01:52.0351536Z             {
2023-01-11T21:01:52.0351736Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0351881Z                 out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0351987Z             }
2023-01-11T21:01:52.0352095Z         }
2023-01-11T21:01:52.0352198Z     }
2023-01-11T21:01:52.0352325Z     #pragma GCC ivdep
2023-01-11T21:01:52.0352445Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0352546Z     {
2023-01-11T21:01:52.0352678Z         #pragma GCC ivdep
2023-01-11T21:01:52.0352820Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0353009Z         {
2023-01-11T21:01:52.0353113Z             {
2023-01-11T21:01:52.0353204Z                 {
2023-01-11T21:01:52.0353369Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2023-01-11T21:01:52.0353550Z                     auto tmp1 = static_cast<float>(0);
2023-01-11T21:01:52.0353718Z                     out_ptr0[i1 + (3*tmp0)] = tmp1;
2023-01-11T21:01:52.0353831Z                 }
2023-01-11T21:01:52.0353936Z             }
2023-01-11T21:01:52.0354037Z         }
2023-01-11T21:01:52.0354120Z     }
2023-01-11T21:01:52.0354254Z     #pragma GCC ivdep
2023-01-11T21:01:52.0354392Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0354494Z     {
2023-01-11T21:01:52.0354632Z         #pragma GCC ivdep
2023-01-11T21:01:52.0354772Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0354873Z         {
2023-01-11T21:01:52.0354961Z             {
2023-01-11T21:01:52.0355063Z                 {
2023-01-11T21:01:52.0355238Z                     auto tmp0 = in_ptr1[i1 + (3*i0)];
2023-01-11T21:01:52.0355401Z                     auto tmp1 = in_ptr2[i1 + (3*i0)];
2023-01-11T21:01:52.0355566Z                     out_ptr0[i1 + (3*tmp0)] += tmp1;
2023-01-11T21:01:52.0355676Z                 }
2023-01-11T21:01:52.0355784Z             }
2023-01-11T21:01:52.0355869Z         }
2023-01-11T21:01:52.0355971Z     }
2023-01-11T21:01:52.0356072Z }
2023-01-11T21:01:52.0356227Z ''')
2023-01-11T21:01:52.0356237Z 
2023-01-11T21:01:52.0356244Z 
2023-01-11T21:01:52.0356402Z async_compile.wait(globals())
2023-01-11T21:01:52.0356529Z del async_compile
2023-01-11T21:01:52.0356542Z 
2023-01-11T21:01:52.0356665Z def call(args):
2023-01-11T21:01:52.0356792Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0356909Z     args.clear()
2023-01-11T21:01:52.0357258Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0357599Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0357716Z     del arg0_1
2023-01-11T21:01:52.0357830Z     del arg1_1
2023-01-11T21:01:52.0357940Z     del arg2_1
2023-01-11T21:01:52.0358043Z     return (buf0, )
2023-01-11T21:01:52.0358051Z 
2023-01-11T21:01:52.0358057Z 
2023-01-11T21:01:52.0358182Z if __name__ == "__main__":
2023-01-11T21:01:52.0358387Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0358604Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0358966Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0359299Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0359653Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0359871Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0359880Z 
2023-01-11T21:01:52.0359977Z ok (1.539s)
2023-01-11T21:01:52.0360805Z   test_scheduler_vertical_fusion1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0361093Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0361593Z [2023-01-11 20:58:17,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396
2023-01-11T21:01:52.0362131Z [2023-01-11 20:58:18,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396
2023-01-11T21:01:52.0362142Z 
2023-01-11T21:01:52.0362306Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0362419Z import torch
2023-01-11T21:01:52.0362539Z import random
2023-01-11T21:01:52.0362740Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0362940Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0362964Z 
2023-01-11T21:01:52.0363078Z aten = torch.ops.aten
2023-01-11T21:01:52.0363325Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0363618Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0363627Z 
2023-01-11T21:01:52.0363638Z 
2023-01-11T21:01:52.0363889Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0364232Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0364407Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0364582Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:52.0364754Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0364933Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0365109Z                        const float* __restrict__ in_ptr2)
2023-01-11T21:01:52.0365213Z {
2023-01-11T21:01:52.0365360Z     auto out_ptr1 = in_out_ptr1;
2023-01-11T21:01:52.0365502Z     for(long i0=0; i0<135252; i0+=1)
2023-01-11T21:01:52.0365603Z     {
2023-01-11T21:01:52.0365831Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0366047Z         auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0366443Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.061519070296458e-11));
2023-01-11T21:01:52.0366590Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0366993Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(-1.988366587925593e-08));
2023-01-11T21:01:52.0367139Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0367279Z         auto tmp5 = tmp0 * tmp4;
2023-01-11T21:01:52.0367669Z         auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(-3.087032500374211e-07));
2023-01-11T21:01:52.0367807Z         auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:52.0368183Z         auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1.55093272922008e-10));
2023-01-11T21:01:52.0368327Z         auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.0368470Z         auto tmp11 = tmp7 + tmp10;
2023-01-11T21:01:52.0368634Z         auto tmp12 = tmp11.reciprocal();
2023-01-11T21:01:52.0368872Z         auto tmp13 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2023-01-11T21:01:52.0369018Z         auto tmp14 = tmp12 * tmp13;
2023-01-11T21:01:52.0369176Z         tmp11.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0369316Z         tmp14.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0369419Z     }
2023-01-11T21:01:52.0369577Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0369716Z     for(long i0=1082016; i0<1082016; i0+=1)
2023-01-11T21:01:52.0369819Z     {
2023-01-11T21:01:52.0369961Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0370099Z         auto tmp8 = in_ptr1[i0];
2023-01-11T21:01:52.0370388Z         auto tmp1 = static_cast<float>(-1.061519070296458e-11);
2023-01-11T21:01:52.0370523Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0370828Z         auto tmp3 = static_cast<float>(-1.988366587925593e-08);
2023-01-11T21:01:52.0370968Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0371105Z         auto tmp5 = tmp0 * tmp4;
2023-01-11T21:01:52.0371408Z         auto tmp6 = static_cast<float>(-3.087032500374211e-07);
2023-01-11T21:01:52.0371652Z         auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:52.0371937Z         auto tmp9 = static_cast<float>(1.55093272922008e-10);
2023-01-11T21:01:52.0372073Z         auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.0372215Z         auto tmp11 = tmp7 + tmp10;
2023-01-11T21:01:52.0372410Z         auto tmp12 = 1 / tmp11;
2023-01-11T21:01:52.0372584Z         auto tmp13 = static_cast<float>(1.0);
2023-01-11T21:01:52.0372721Z         auto tmp14 = tmp12 * tmp13;
2023-01-11T21:01:52.0372856Z         in_out_ptr0[i0] = tmp11;
2023-01-11T21:01:52.0372973Z         out_ptr1[i0] = tmp14;
2023-01-11T21:01:52.0373075Z     }
2023-01-11T21:01:52.0373206Z     #pragma GCC ivdep
2023-01-11T21:01:52.0373354Z     for(long i0=0; i0<41616; i0+=1)
2023-01-11T21:01:52.0373455Z     {
2023-01-11T21:01:52.0373588Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0373674Z         {
2023-01-11T21:01:52.0373920Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (8*i1) + (26*i0));
2023-01-11T21:01:52.0374164Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2023-01-11T21:01:52.0374306Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0374473Z             tmp2.store(in_out_ptr0 + (8*i1) + (26*i0));
2023-01-11T21:01:52.0374582Z         }
2023-01-11T21:01:52.0374740Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0374875Z         for(long i1=24; i1<26; i1+=1)
2023-01-11T21:01:52.0374967Z         {
2023-01-11T21:01:52.0375137Z             auto tmp0 = in_out_ptr0[i1 + (26*i0)];
2023-01-11T21:01:52.0375283Z             auto tmp1 = in_ptr2[i1];
2023-01-11T21:01:52.0375411Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0375562Z             in_out_ptr0[i1 + (26*i0)] = tmp2;
2023-01-11T21:01:52.0375666Z         }
2023-01-11T21:01:52.0375771Z     }
2023-01-11T21:01:52.0375895Z     for(long i0=0; i0<135252; i0+=1)
2023-01-11T21:01:52.0375996Z     {
2023-01-11T21:01:52.0376232Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0376467Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0376607Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0376764Z         tmp2.store(in_out_ptr1 + 8*i0);
2023-01-11T21:01:52.0376865Z     }
2023-01-11T21:01:52.0377000Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0377153Z     for(long i0=1082016; i0<1082016; i0+=1)
2023-01-11T21:01:52.0377258Z     {
2023-01-11T21:01:52.0377400Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:52.0377553Z         auto tmp1 = in_out_ptr0[i0];
2023-01-11T21:01:52.0377678Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0377811Z         in_out_ptr1[i0] = tmp2;
2023-01-11T21:01:52.0377898Z     }
2023-01-11T21:01:52.0377994Z }
2023-01-11T21:01:52.0378142Z ''')
2023-01-11T21:01:52.0378152Z 
2023-01-11T21:01:52.0378160Z 
2023-01-11T21:01:52.0378313Z async_compile.wait(globals())
2023-01-11T21:01:52.0378439Z del async_compile
2023-01-11T21:01:52.0378448Z 
2023-01-11T21:01:52.0378569Z def call(args):
2023-01-11T21:01:52.0378713Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0378815Z     args.clear()
2023-01-11T21:01:52.0379213Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0379361Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0379746Z     buf2 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0379891Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:52.0380030Z     buf4 = buf2; del buf2  # reuse
2023-01-11T21:01:52.0380400Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2023-01-11T21:01:52.0380513Z     del arg0_1
2023-01-11T21:01:52.0380607Z     del arg1_1
2023-01-11T21:01:52.0380716Z     del arg2_1
2023-01-11T21:01:52.0380835Z     return (buf4, )
2023-01-11T21:01:52.0380845Z 
2023-01-11T21:01:52.0380853Z 
2023-01-11T21:01:52.0380983Z if __name__ == "__main__":
2023-01-11T21:01:52.0381251Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0381456Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0381852Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0382262Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0382606Z     arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0382824Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0382833Z 
2023-01-11T21:01:52.0382940Z ok (1.756s)
2023-01-11T21:01:52.0383768Z   test_select_scatter_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0383995Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0384491Z [2023-01-11 20:58:18,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397
2023-01-11T21:01:52.0384971Z [2023-01-11 20:58:20,330] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397
2023-01-11T21:01:52.0384982Z 
2023-01-11T21:01:52.0385144Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0385266Z import torch
2023-01-11T21:01:52.0385371Z import random
2023-01-11T21:01:52.0385560Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0385773Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0385782Z 
2023-01-11T21:01:52.0385916Z aten = torch.ops.aten
2023-01-11T21:01:52.0386154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0386308Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0386321Z 
2023-01-11T21:01:52.0386328Z 
2023-01-11T21:01:52.0386569Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0386949Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0387142Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0387319Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0387499Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0387671Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0387834Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0387936Z {
2023-01-11T21:01:52.0388067Z     #pragma GCC ivdep
2023-01-11T21:01:52.0388190Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0388292Z     {
2023-01-11T21:01:52.0388429Z         #pragma GCC ivdep
2023-01-11T21:01:52.0388563Z         for(long i1=0; i1<197; i1+=1)
2023-01-11T21:01:52.0388666Z         {
2023-01-11T21:01:52.0388803Z             #pragma GCC ivdep
2023-01-11T21:01:52.0388955Z             for(long i2=0; i2<38; i2+=1)
2023-01-11T21:01:52.0389047Z             {
2023-01-11T21:01:52.0389153Z                 {
2023-01-11T21:01:52.0389263Z                     {
2023-01-11T21:01:52.0389441Z                         auto tmp3 = in_ptr0[i2 + (38*i0)];
2023-01-11T21:01:52.0389620Z                         auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)];
2023-01-11T21:01:52.0389801Z                         auto tmp0 = static_cast<int>(i1);
2023-01-11T21:01:52.0389978Z                         auto tmp1 = static_cast<int>(0);
2023-01-11T21:01:52.0390126Z                         auto tmp2 = tmp0 == tmp1;
2023-01-11T21:01:52.0390295Z                         auto tmp5 = tmp2 ? tmp3 : tmp4;
2023-01-11T21:01:52.0390464Z                         out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5;
2023-01-11T21:01:52.0390578Z                     }
2023-01-11T21:01:52.0390689Z                 }
2023-01-11T21:01:52.0390797Z             }
2023-01-11T21:01:52.0390962Z         }
2023-01-11T21:01:52.0391054Z     }
2023-01-11T21:01:52.0391183Z     #pragma GCC ivdep
2023-01-11T21:01:52.0391311Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0391413Z     {
2023-01-11T21:01:52.0391543Z         #pragma GCC ivdep
2023-01-11T21:01:52.0391742Z         for(long i1=0; i1<7486; i1+=1)
2023-01-11T21:01:52.0391834Z         {
2023-01-11T21:01:52.0391936Z             {
2023-01-11T21:01:52.0392037Z                 {
2023-01-11T21:01:52.0392194Z                     auto tmp3 = in_ptr2[i1];
2023-01-11T21:01:52.0392367Z                     auto tmp4 = in_ptr1[i1 + (7486*i0)];
2023-01-11T21:01:52.0392542Z                     auto tmp0 = static_cast<int>(i0);
2023-01-11T21:01:52.0392719Z                     auto tmp1 = static_cast<int>(1);
2023-01-11T21:01:52.0392935Z                     auto tmp2 = tmp0 == tmp1;
2023-01-11T21:01:52.0393093Z                     auto tmp5 = tmp2 ? tmp3 : tmp4;
2023-01-11T21:01:52.0393250Z                     out_ptr1[i1 + (7486*i0)] = tmp5;
2023-01-11T21:01:52.0393365Z                 }
2023-01-11T21:01:52.0393472Z             }
2023-01-11T21:01:52.0393578Z         }
2023-01-11T21:01:52.0393682Z     }
2023-01-11T21:01:52.0393768Z }
2023-01-11T21:01:52.0393916Z ''')
2023-01-11T21:01:52.0393924Z 
2023-01-11T21:01:52.0393932Z 
2023-01-11T21:01:52.0394090Z async_compile.wait(globals())
2023-01-11T21:01:52.0394217Z del async_compile
2023-01-11T21:01:52.0394227Z 
2023-01-11T21:01:52.0394349Z def call(args):
2023-01-11T21:01:52.0394493Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.0394606Z     args.clear()
2023-01-11T21:01:52.0394999Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0395377Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0395771Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0395884Z     del arg0_1
2023-01-11T21:01:52.0396001Z     del arg1_1
2023-01-11T21:01:52.0396115Z     del arg2_1
2023-01-11T21:01:52.0396249Z     return (buf0, buf1, )
2023-01-11T21:01:52.0396258Z 
2023-01-11T21:01:52.0396266Z 
2023-01-11T21:01:52.0396397Z if __name__ == "__main__":
2023-01-11T21:01:52.0396605Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0396811Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0397212Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0397572Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0397943Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0398158Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.0398167Z 
2023-01-11T21:01:52.0398280Z ok (1.570s)
2023-01-11T21:01:52.0399116Z   test_sgn_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0399350Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0399840Z [2023-01-11 20:58:20,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398
2023-01-11T21:01:52.0400335Z [2023-01-11 20:58:21,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398
2023-01-11T21:01:52.0400359Z 
2023-01-11T21:01:52.0400508Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0400628Z import torch
2023-01-11T21:01:52.0400748Z import random
2023-01-11T21:01:52.0400956Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0401170Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0401256Z 
2023-01-11T21:01:52.0401394Z aten = torch.ops.aten
2023-01-11T21:01:52.0401638Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0401786Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0401795Z 
2023-01-11T21:01:52.0401846Z 
2023-01-11T21:01:52.0402083Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0402461Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0402671Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0402839Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0402992Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0403097Z {
2023-01-11T21:01:52.0403234Z     for(long i0=0; i0<5; i0+=1)
2023-01-11T21:01:52.0403324Z     {
2023-01-11T21:01:52.0403701Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0403878Z         auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2023-01-11T21:01:52.0404049Z         auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2023-01-11T21:01:52.0404183Z         auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:52.0404317Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0404397Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:52.0404565Z         auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5);
2023-01-11T21:01:52.0404720Z         auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0));
2023-01-11T21:01:52.0404838Z         auto tmp8 = tmp6 - tmp7;
2023-01-11T21:01:52.0404954Z         auto tmp9 = tmp8 - tmp4;
2023-01-11T21:01:52.0405042Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0405126Z         tmp9.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0405187Z     }
2023-01-11T21:01:52.0405276Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0405341Z     for(long i0=40; i0<41; i0+=1)
2023-01-11T21:01:52.0405400Z     {
2023-01-11T21:01:52.0405477Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0405558Z         auto tmp1 = tmp0 > 0 ? 1 : 0;
2023-01-11T21:01:52.0405639Z         auto tmp2 = tmp0 < 0 ? 1 : 0;
2023-01-11T21:01:52.0405753Z         auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:52.0405847Z         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:52.0405913Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:52.0405993Z         auto tmp6 = tmp5 > 0 ? 1 : 0;
2023-01-11T21:01:52.0406071Z         auto tmp7 = tmp5 < 0 ? 1 : 0;
2023-01-11T21:01:52.0406186Z         auto tmp8 = tmp6 - tmp7;
2023-01-11T21:01:52.0406298Z         auto tmp9 = tmp8 - tmp4;
2023-01-11T21:01:52.0406372Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0406445Z         out_ptr1[i0] = tmp9;
2023-01-11T21:01:52.0406492Z     }
2023-01-11T21:01:52.0406551Z }
2023-01-11T21:01:52.0406627Z ''')
2023-01-11T21:01:52.0406635Z 
2023-01-11T21:01:52.0406639Z 
2023-01-11T21:01:52.0406728Z async_compile.wait(globals())
2023-01-11T21:01:52.0406798Z del async_compile
2023-01-11T21:01:52.0406802Z 
2023-01-11T21:01:52.0406870Z def call(args):
2023-01-11T21:01:52.0406935Z     arg0_1, = args
2023-01-11T21:01:52.0406994Z     args.clear()
2023-01-11T21:01:52.0407189Z     buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0407389Z     buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0407552Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0407617Z     del arg0_1
2023-01-11T21:01:52.0407692Z     return (buf0, buf1, )
2023-01-11T21:01:52.0407697Z 
2023-01-11T21:01:52.0407701Z 
2023-01-11T21:01:52.0407778Z if __name__ == "__main__":
2023-01-11T21:01:52.0407891Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0408001Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0408278Z     arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0408386Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0408391Z 
2023-01-11T21:01:52.0408455Z ok (1.549s)
2023-01-11T21:01:52.0408935Z   test_sgn_extremal_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0409064Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0409327Z [2023-01-11 20:58:21,906] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399
2023-01-11T21:01:52.0409589Z [2023-01-11 20:58:23,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399
2023-01-11T21:01:52.0409597Z 
2023-01-11T21:01:52.0409691Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0409760Z import torch
2023-01-11T21:01:52.0409816Z import random
2023-01-11T21:01:52.0409930Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0410049Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0410055Z 
2023-01-11T21:01:52.0410130Z aten = torch.ops.aten
2023-01-11T21:01:52.0410263Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0410355Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0410360Z 
2023-01-11T21:01:52.0410364Z 
2023-01-11T21:01:52.0410495Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0410696Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0410802Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0410900Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0410961Z {
2023-01-11T21:01:52.0411036Z     #pragma GCC ivdep
2023-01-11T21:01:52.0411113Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0411171Z     {
2023-01-11T21:01:52.0411221Z         {
2023-01-11T21:01:52.0411280Z             {
2023-01-11T21:01:52.0411373Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0411465Z                 auto tmp1 = tmp0 > 0 ? 1 : 0;
2023-01-11T21:01:52.0411551Z                 auto tmp2 = tmp0 < 0 ? 1 : 0;
2023-01-11T21:01:52.0411676Z                 auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:52.0411755Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0411804Z             }
2023-01-11T21:01:52.0411867Z         }
2023-01-11T21:01:52.0411926Z     }
2023-01-11T21:01:52.0411985Z }
2023-01-11T21:01:52.0412060Z ''')
2023-01-11T21:01:52.0412065Z 
2023-01-11T21:01:52.0412069Z 
2023-01-11T21:01:52.0412156Z async_compile.wait(globals())
2023-01-11T21:01:52.0412226Z del async_compile
2023-01-11T21:01:52.0412231Z 
2023-01-11T21:01:52.0412300Z def call(args):
2023-01-11T21:01:52.0412356Z     arg0_1, = args
2023-01-11T21:01:52.0412423Z     args.clear()
2023-01-11T21:01:52.0412611Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0412743Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0412810Z     del arg0_1
2023-01-11T21:01:52.0412878Z     return (buf0, )
2023-01-11T21:01:52.0412883Z 
2023-01-11T21:01:52.0412887Z 
2023-01-11T21:01:52.0412960Z if __name__ == "__main__":
2023-01-11T21:01:52.0413060Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0413181Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0413373Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0413476Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0413481Z 
2023-01-11T21:01:52.0413544Z ok (1.520s)
2023-01-11T21:01:52.0414021Z   test_shape_prop_torch_ones_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0414175Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0414432Z [2023-01-11 20:58:23,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400
2023-01-11T21:01:52.0414699Z [2023-01-11 20:58:25,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400
2023-01-11T21:01:52.0414704Z 
2023-01-11T21:01:52.0414797Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0414852Z import torch
2023-01-11T21:01:52.0414919Z import random
2023-01-11T21:01:52.0415030Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0415147Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0415154Z 
2023-01-11T21:01:52.0415232Z aten = torch.ops.aten
2023-01-11T21:01:52.0415363Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0415452Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0415459Z 
2023-01-11T21:01:52.0415463Z 
2023-01-11T21:01:52.0415581Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0415785Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0415904Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0416001Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0416061Z {
2023-01-11T21:01:52.0416142Z     for(long i0=0; i0<3145728; i0+=1)
2023-01-11T21:01:52.0416205Z     {
2023-01-11T21:01:52.0416333Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0416449Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0416532Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0416616Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0416675Z     }
2023-01-11T21:01:52.0416760Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0416849Z     for(long i0=25165824; i0<25165824; i0+=1)
2023-01-11T21:01:52.0416907Z     {
2023-01-11T21:01:52.0416973Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0417067Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0417145Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0417220Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0417278Z     }
2023-01-11T21:01:52.0417335Z }
2023-01-11T21:01:52.0417399Z ''')
2023-01-11T21:01:52.0417422Z 
2023-01-11T21:01:52.0417426Z 
2023-01-11T21:01:52.0417499Z async_compile.wait(globals())
2023-01-11T21:01:52.0417572Z del async_compile
2023-01-11T21:01:52.0417577Z 
2023-01-11T21:01:52.0417644Z def call(args):
2023-01-11T21:01:52.0417710Z     arg0_1, = args
2023-01-11T21:01:52.0417776Z     args.clear()
2023-01-11T21:01:52.0418012Z     buf0 = empty_strided((8, 12, 512, 512), (3145728, 262144, 512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0418142Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0418195Z     del arg0_1
2023-01-11T21:01:52.0418265Z     return (buf0, )
2023-01-11T21:01:52.0418270Z 
2023-01-11T21:01:52.0418274Z 
2023-01-11T21:01:52.0418347Z if __name__ == "__main__":
2023-01-11T21:01:52.0418460Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0418581Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0418813Z     arg0_1 = rand_strided((8, 12, 512, 512), (3145728, 262144, 512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0418918Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0418923Z 
2023-01-11T21:01:52.0418988Z ok (4.372s)
2023-01-11T21:01:52.0419426Z   test_sigmoid_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0419604Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0419861Z [2023-01-11 20:58:27,805] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401
2023-01-11T21:01:52.0420124Z [2023-01-11 20:58:29,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401
2023-01-11T21:01:52.0420130Z 
2023-01-11T21:01:52.0420222Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0420292Z import torch
2023-01-11T21:01:52.0420362Z import random
2023-01-11T21:01:52.0420474Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0420593Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0420598Z 
2023-01-11T21:01:52.0420664Z aten = torch.ops.aten
2023-01-11T21:01:52.0420796Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0420887Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0420892Z 
2023-01-11T21:01:52.0420896Z 
2023-01-11T21:01:52.0421031Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0421231Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0421348Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0421452Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0421552Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0421648Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0421696Z {
2023-01-11T21:01:52.0421774Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0421835Z     {
2023-01-11T21:01:52.0421967Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0422099Z         auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0422233Z         auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2023-01-11T21:01:52.0422314Z         auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.0422433Z         auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp());
2023-01-11T21:01:52.0422520Z         tmp1.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0422603Z         tmp4.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0422663Z     }
2023-01-11T21:01:52.0422748Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0422830Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0422889Z     {
2023-01-11T21:01:52.0422955Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0423034Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.0423159Z         auto tmp1 = std::exp(-tmp0);
2023-01-11T21:01:52.0423238Z         auto tmp2 = 1 / (1 + tmp1);
2023-01-11T21:01:52.0423314Z         auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:52.0423438Z         auto tmp5 = std::exp(-tmp4);
2023-01-11T21:01:52.0423520Z         auto tmp6 = 1 / (1 + tmp5);
2023-01-11T21:01:52.0423582Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0423655Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0423716Z     }
2023-01-11T21:01:52.0423775Z }
2023-01-11T21:01:52.0423851Z ''')
2023-01-11T21:01:52.0423856Z 
2023-01-11T21:01:52.0423860Z 
2023-01-11T21:01:52.0423947Z async_compile.wait(globals())
2023-01-11T21:01:52.0424019Z del async_compile
2023-01-11T21:01:52.0424024Z 
2023-01-11T21:01:52.0424079Z def call(args):
2023-01-11T21:01:52.0424152Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0424218Z     args.clear()
2023-01-11T21:01:52.0424409Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0424601Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0424791Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0424889Z     del arg0_1
2023-01-11T21:01:52.0424953Z     del arg1_1
2023-01-11T21:01:52.0425016Z     return (buf0, buf1, )
2023-01-11T21:01:52.0425021Z 
2023-01-11T21:01:52.0425025Z 
2023-01-11T21:01:52.0425097Z if __name__ == "__main__":
2023-01-11T21:01:52.0425235Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0425359Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0425553Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0425744Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0425856Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0425862Z 
2023-01-11T21:01:52.0425927Z ok (1.552s)
2023-01-11T21:01:52.0426348Z   test_signbit_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0426478Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0426738Z [2023-01-11 20:58:29,359] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402
2023-01-11T21:01:52.0427003Z [2023-01-11 20:58:30,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402
2023-01-11T21:01:52.0427008Z 
2023-01-11T21:01:52.0427099Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0427167Z import torch
2023-01-11T21:01:52.0427235Z import random
2023-01-11T21:01:52.0427348Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0427470Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0427475Z 
2023-01-11T21:01:52.0427538Z aten = torch.ops.aten
2023-01-11T21:01:52.0427671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0427763Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0427767Z 
2023-01-11T21:01:52.0427772Z 
2023-01-11T21:01:52.0427902Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0428107Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0428226Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0428323Z                        bool* __restrict__ out_ptr0,
2023-01-11T21:01:52.0428417Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:52.0428465Z {
2023-01-11T21:01:52.0428540Z     #pragma GCC ivdep
2023-01-11T21:01:52.0428619Z     for(long i0=0; i0<72; i0+=1)
2023-01-11T21:01:52.0428676Z     {
2023-01-11T21:01:52.0428736Z         {
2023-01-11T21:01:52.0428797Z             {
2023-01-11T21:01:52.0428884Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0428971Z                 auto tmp1 = std::signbit(tmp0);
2023-01-11T21:01:52.0429090Z                 auto tmp2 = -tmp0;
2023-01-11T21:01:52.0429190Z                 auto tmp3 = std::signbit(tmp2);
2023-01-11T21:01:52.0429271Z                 auto tmp4 = tmp3 == 0;
2023-01-11T21:01:52.0429372Z                 auto tmp5 = static_cast<long>(tmp4);
2023-01-11T21:01:52.0429470Z                 auto tmp6 = static_cast<long>(1);
2023-01-11T21:01:52.0429556Z                 auto tmp7 = tmp5 & tmp6;
2023-01-11T21:01:52.0429623Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0429704Z                 out_ptr1[i0] = tmp7;
2023-01-11T21:01:52.0429765Z             }
2023-01-11T21:01:52.0429824Z         }
2023-01-11T21:01:52.0429884Z     }
2023-01-11T21:01:52.0429942Z }
2023-01-11T21:01:52.0430006Z ''')
2023-01-11T21:01:52.0430023Z 
2023-01-11T21:01:52.0430027Z 
2023-01-11T21:01:52.0430101Z async_compile.wait(globals())
2023-01-11T21:01:52.0430170Z del async_compile
2023-01-11T21:01:52.0430175Z 
2023-01-11T21:01:52.0430245Z def call(args):
2023-01-11T21:01:52.0430312Z     arg0_1, = args
2023-01-11T21:01:52.0430411Z     args.clear()
2023-01-11T21:01:52.0430616Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0430848Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0431001Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0431068Z     del arg0_1
2023-01-11T21:01:52.0431144Z     return (buf0, buf1, )
2023-01-11T21:01:52.0431149Z 
2023-01-11T21:01:52.0431153Z 
2023-01-11T21:01:52.0431230Z if __name__ == "__main__":
2023-01-11T21:01:52.0431343Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0431462Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0431674Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0431779Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0431785Z 
2023-01-11T21:01:52.0431839Z ok (1.551s)
2023-01-11T21:01:52.0432273Z   test_silu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0432400Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0432658Z [2023-01-11 20:58:30,906] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403
2023-01-11T21:01:52.0433008Z [2023-01-11 20:58:32,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403
2023-01-11T21:01:52.0433014Z 
2023-01-11T21:01:52.0433109Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0433179Z import torch
2023-01-11T21:01:52.0433249Z import random
2023-01-11T21:01:52.0433365Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0433488Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0433493Z 
2023-01-11T21:01:52.0433557Z aten = torch.ops.aten
2023-01-11T21:01:52.0433692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0433786Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0433791Z 
2023-01-11T21:01:52.0433795Z 
2023-01-11T21:01:52.0433931Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0434136Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0434253Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0434353Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0434414Z {
2023-01-11T21:01:52.0434481Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0434541Z     {
2023-01-11T21:01:52.0434671Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0434806Z         auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2023-01-11T21:01:52.0434887Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0434974Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0435033Z     }
2023-01-11T21:01:52.0435108Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0435187Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0435248Z     {
2023-01-11T21:01:52.0435329Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0435455Z         auto tmp1 = std::exp(-tmp0);
2023-01-11T21:01:52.0435533Z         auto tmp2 = 1 / (1 + tmp1);
2023-01-11T21:01:52.0435611Z         auto tmp3 = tmp0 * tmp2;
2023-01-11T21:01:52.0435675Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0435733Z     }
2023-01-11T21:01:52.0435793Z }
2023-01-11T21:01:52.0435869Z ''')
2023-01-11T21:01:52.0435874Z 
2023-01-11T21:01:52.0435878Z 
2023-01-11T21:01:52.0435963Z async_compile.wait(globals())
2023-01-11T21:01:52.0436033Z del async_compile
2023-01-11T21:01:52.0436038Z 
2023-01-11T21:01:52.0436146Z def call(args):
2023-01-11T21:01:52.0436201Z     arg0_1, = args
2023-01-11T21:01:52.0436271Z     args.clear()
2023-01-11T21:01:52.0436467Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0436637Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0436706Z     del arg0_1
2023-01-11T21:01:52.0436779Z     return (buf0, )
2023-01-11T21:01:52.0436785Z 
2023-01-11T21:01:52.0436789Z 
2023-01-11T21:01:52.0436863Z if __name__ == "__main__":
2023-01-11T21:01:52.0436977Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0437086Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0437281Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0437387Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0437392Z 
2023-01-11T21:01:52.0437456Z ok (1.531s)
2023-01-11T21:01:52.0437899Z   test_simplify_loops_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0438026Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0438284Z [2023-01-11 20:58:32,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404
2023-01-11T21:01:52.0438544Z [2023-01-11 20:58:33,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404
2023-01-11T21:01:52.0438550Z 
2023-01-11T21:01:52.0438642Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0438700Z import torch
2023-01-11T21:01:52.0438769Z import random
2023-01-11T21:01:52.0438883Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0439002Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0439009Z 
2023-01-11T21:01:52.0439085Z aten = torch.ops.aten
2023-01-11T21:01:52.0439216Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0439305Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0439311Z 
2023-01-11T21:01:52.0439315Z 
2023-01-11T21:01:52.0439447Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0439635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0439754Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0439854Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0439954Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0440014Z {
2023-01-11T21:01:52.0440088Z     #pragma GCC ivdep
2023-01-11T21:01:52.0440167Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:52.0440215Z     {
2023-01-11T21:01:52.0440290Z         #pragma GCC ivdep
2023-01-11T21:01:52.0440372Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0440432Z         {
2023-01-11T21:01:52.0440514Z             for(long i2=0; i2<3; i2+=1)
2023-01-11T21:01:52.0440576Z             {
2023-01-11T21:01:52.0440724Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (30*i1) + (120*i0));
2023-01-11T21:01:52.0440864Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (30*i0) + (180*i1));
2023-01-11T21:01:52.0440939Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0441047Z                 tmp2.store(out_ptr0 + (8*i2) + (30*i1) + (120*i0));
2023-01-11T21:01:52.0441109Z             }
2023-01-11T21:01:52.0441199Z             #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0441283Z             for(long i2=24; i2<30; i2+=1)
2023-01-11T21:01:52.0441344Z             {
2023-01-11T21:01:52.0441444Z                 auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)];
2023-01-11T21:01:52.0441533Z                 auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)];
2023-01-11T21:01:52.0441685Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0441781Z                 out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2;
2023-01-11T21:01:52.0441842Z             }
2023-01-11T21:01:52.0441904Z         }
2023-01-11T21:01:52.0441991Z     }
2023-01-11T21:01:52.0442052Z }
2023-01-11T21:01:52.0442117Z ''')
2023-01-11T21:01:52.0442122Z 
2023-01-11T21:01:52.0442127Z 
2023-01-11T21:01:52.0442216Z async_compile.wait(globals())
2023-01-11T21:01:52.0442292Z del async_compile
2023-01-11T21:01:52.0442296Z 
2023-01-11T21:01:52.0442366Z def call(args):
2023-01-11T21:01:52.0442440Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0442509Z     args.clear()
2023-01-11T21:01:52.0442734Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0442882Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0442950Z     del arg0_1
2023-01-11T21:01:52.0443019Z     del arg1_1
2023-01-11T21:01:52.0443090Z     return (buf0, )
2023-01-11T21:01:52.0443095Z 
2023-01-11T21:01:52.0443100Z 
2023-01-11T21:01:52.0443176Z if __name__ == "__main__":
2023-01-11T21:01:52.0443289Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0443590Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0443821Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0444026Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0444140Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0444145Z 
2023-01-11T21:01:52.0444211Z ok (1.547s)
2023-01-11T21:01:52.0444638Z   test_sin_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0444768Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0445032Z [2023-01-11 20:58:33,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405
2023-01-11T21:01:52.0445294Z [2023-01-11 20:58:35,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405
2023-01-11T21:01:52.0445302Z 
2023-01-11T21:01:52.0445396Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0445468Z import torch
2023-01-11T21:01:52.0445524Z import random
2023-01-11T21:01:52.0445635Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0445754Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0445759Z 
2023-01-11T21:01:52.0445840Z aten = torch.ops.aten
2023-01-11T21:01:52.0445975Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0446065Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0446070Z 
2023-01-11T21:01:52.0446074Z 
2023-01-11T21:01:52.0446205Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0446410Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0446525Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0446612Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0446709Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0446769Z {
2023-01-11T21:01:52.0446847Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0446906Z     {
2023-01-11T21:01:52.0447040Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0447123Z         auto tmp1 = tmp0.sin();
2023-01-11T21:01:52.0447236Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0447315Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.0447496Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0447577Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:52.0447655Z         auto tmp6 = tmp5.sin();
2023-01-11T21:01:52.0447775Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0447862Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0447909Z     }
2023-01-11T21:01:52.0447996Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0448077Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0448137Z     {
2023-01-11T21:01:52.0448215Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0448300Z         auto tmp1 = std::sin(tmp0);
2023-01-11T21:01:52.0448395Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:52.0448462Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.0448556Z         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:52.0448635Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:52.0448719Z         auto tmp6 = std::sin(tmp5);
2023-01-11T21:01:52.0448795Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0448871Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0448930Z     }
2023-01-11T21:01:52.0448977Z }
2023-01-11T21:01:52.0449053Z ''')
2023-01-11T21:01:52.0449059Z 
2023-01-11T21:01:52.0449063Z 
2023-01-11T21:01:52.0449151Z async_compile.wait(globals())
2023-01-11T21:01:52.0449223Z del async_compile
2023-01-11T21:01:52.0449228Z 
2023-01-11T21:01:52.0449295Z def call(args):
2023-01-11T21:01:52.0449364Z     arg0_1, = args
2023-01-11T21:01:52.0449432Z     args.clear()
2023-01-11T21:01:52.0449620Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0449814Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0449978Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0450044Z     del arg0_1
2023-01-11T21:01:52.0450119Z     return (buf0, buf1, )
2023-01-11T21:01:52.0450124Z 
2023-01-11T21:01:52.0450130Z 
2023-01-11T21:01:52.0450205Z if __name__ == "__main__":
2023-01-11T21:01:52.0450318Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0450441Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0450627Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0450735Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0450740Z 
2023-01-11T21:01:52.0450806Z ok (1.557s)
2023-01-11T21:01:52.0451249Z   test_sizehint_issue1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0451374Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0451631Z [2023-01-11 20:58:35,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406
2023-01-11T21:01:52.0451900Z [2023-01-11 20:58:37,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406
2023-01-11T21:01:52.0451908Z 
2023-01-11T21:01:52.0452001Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0452070Z import torch
2023-01-11T21:01:52.0452125Z import random
2023-01-11T21:01:52.0452240Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0452359Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0452365Z 
2023-01-11T21:01:52.0452441Z aten = torch.ops.aten
2023-01-11T21:01:52.0452573Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0452664Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0452669Z 
2023-01-11T21:01:52.0452673Z 
2023-01-11T21:01:52.0452805Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0453007Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0453157Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0453243Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0453303Z {
2023-01-11T21:01:52.0453404Z     #pragma GCC ivdep
2023-01-11T21:01:52.0453484Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0453542Z     {
2023-01-11T21:01:52.0453617Z         #pragma GCC ivdep
2023-01-11T21:01:52.0453686Z         for(long i1=0; i1<384; i1+=1)
2023-01-11T21:01:52.0453749Z         {
2023-01-11T21:01:52.0453827Z             #pragma GCC ivdep
2023-01-11T21:01:52.0453911Z             for(long i2=0; i2<196; i2+=1)
2023-01-11T21:01:52.0453973Z             {
2023-01-11T21:01:52.0454036Z                 {
2023-01-11T21:01:52.0454102Z                     {
2023-01-11T21:01:52.0454200Z                         auto tmp0 = static_cast<long>(4*(i2 / 14));
2023-01-11T21:01:52.0454313Z                         auto tmp1 = static_cast<long>((i1 / 4) % 4);
2023-01-11T21:01:52.0454407Z                         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0454515Z                         auto tmp3 = static_cast<long>(4*(i2 % 14));
2023-01-11T21:01:52.0454627Z                         auto tmp4 = static_cast<long>(i1 % 4);
2023-01-11T21:01:52.0454720Z                         auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:52.0454845Z                         auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*(i1 / 16)) + (75264*i0)];
2023-01-11T21:01:52.0454947Z                         out_ptr0[i2 + (196*i1) + (75264*i0)] = tmp6;
2023-01-11T21:01:52.0455000Z                     }
2023-01-11T21:01:52.0455063Z                 }
2023-01-11T21:01:52.0455122Z             }
2023-01-11T21:01:52.0455187Z         }
2023-01-11T21:01:52.0455251Z     }
2023-01-11T21:01:52.0455309Z }
2023-01-11T21:01:52.0455373Z ''')
2023-01-11T21:01:52.0455378Z 
2023-01-11T21:01:52.0455394Z 
2023-01-11T21:01:52.0455468Z async_compile.wait(globals())
2023-01-11T21:01:52.0455538Z del async_compile
2023-01-11T21:01:52.0455544Z 
2023-01-11T21:01:52.0455612Z def call(args):
2023-01-11T21:01:52.0455678Z     arg0_1, = args
2023-01-11T21:01:52.0455749Z     args.clear()
2023-01-11T21:01:52.0455963Z     buf0 = empty_strided((2, 384, 196), (75264, 196, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0456092Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0456146Z     del arg0_1
2023-01-11T21:01:52.0456219Z     return (buf0, )
2023-01-11T21:01:52.0456224Z 
2023-01-11T21:01:52.0456228Z 
2023-01-11T21:01:52.0456299Z if __name__ == "__main__":
2023-01-11T21:01:52.0456410Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0456528Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0456750Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0456854Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0456859Z 
2023-01-11T21:01:52.0456924Z ok (1.746s)
2023-01-11T21:01:52.0457348Z   test_slice1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0457476Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0457734Z [2023-01-11 20:58:37,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407
2023-01-11T21:01:52.0457996Z [2023-01-11 20:58:38,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407
2023-01-11T21:01:52.0458001Z 
2023-01-11T21:01:52.0458096Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0458166Z import torch
2023-01-11T21:01:52.0458233Z import random
2023-01-11T21:01:52.0458344Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0458491Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0458496Z 
2023-01-11T21:01:52.0458560Z aten = torch.ops.aten
2023-01-11T21:01:52.0458730Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0458822Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0458826Z 
2023-01-11T21:01:52.0458831Z 
2023-01-11T21:01:52.0458963Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0459165Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0459280Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0459377Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0459475Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0459522Z {
2023-01-11T21:01:52.0459595Z     #pragma GCC ivdep
2023-01-11T21:01:52.0459673Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0459734Z     {
2023-01-11T21:01:52.0459808Z         #pragma GCC ivdep
2023-01-11T21:01:52.0459889Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.0459954Z         {
2023-01-11T21:01:52.0460003Z             {
2023-01-11T21:01:52.0460066Z                 {
2023-01-11T21:01:52.0460170Z                     auto tmp0 = in_ptr0[(2*i1) + (40*i0)];
2023-01-11T21:01:52.0460274Z                     auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)];
2023-01-11T21:01:52.0460363Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0460465Z                     auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:52.0460556Z                     auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:52.0460632Z                     auto tmp5 = tmp1 + tmp3;
2023-01-11T21:01:52.0460719Z                     auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:52.0460809Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.0460898Z                     out_ptr1[i1 + (10*i0)] = tmp6;
2023-01-11T21:01:52.0460959Z                 }
2023-01-11T21:01:52.0461021Z             }
2023-01-11T21:01:52.0461082Z         }
2023-01-11T21:01:52.0461130Z     }
2023-01-11T21:01:52.0461187Z }
2023-01-11T21:01:52.0461263Z ''')
2023-01-11T21:01:52.0461267Z 
2023-01-11T21:01:52.0461272Z 
2023-01-11T21:01:52.0461361Z async_compile.wait(globals())
2023-01-11T21:01:52.0461430Z del async_compile
2023-01-11T21:01:52.0461434Z 
2023-01-11T21:01:52.0461502Z def call(args):
2023-01-11T21:01:52.0461568Z     arg0_1, = args
2023-01-11T21:01:52.0461624Z     args.clear()
2023-01-11T21:01:52.0461823Z     buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0462015Z     buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0462179Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0462244Z     del arg0_1
2023-01-11T21:01:52.0462319Z     return (buf0, buf1, )
2023-01-11T21:01:52.0462324Z 
2023-01-11T21:01:52.0462329Z 
2023-01-11T21:01:52.0462404Z if __name__ == "__main__":
2023-01-11T21:01:52.0462513Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0462621Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0474403Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0474571Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0474579Z 
2023-01-11T21:01:52.0474645Z ok (1.594s)
2023-01-11T21:01:52.0475085Z   test_slice2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0475213Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0475512Z [2023-01-11 20:58:38,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408
2023-01-11T21:01:52.0475852Z [2023-01-11 20:58:40,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408
2023-01-11T21:01:52.0475871Z 
2023-01-11T21:01:52.0475991Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0476063Z import torch
2023-01-11T21:01:52.0476131Z import random
2023-01-11T21:01:52.0476248Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0476368Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0476374Z 
2023-01-11T21:01:52.0476451Z aten = torch.ops.aten
2023-01-11T21:01:52.0476585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0476664Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0476669Z 
2023-01-11T21:01:52.0476674Z 
2023-01-11T21:01:52.0476810Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0477017Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0477137Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0477233Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0477331Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0477393Z {
2023-01-11T21:01:52.0477458Z     #pragma GCC ivdep
2023-01-11T21:01:52.0477538Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.0477597Z     {
2023-01-11T21:01:52.0477658Z         {
2023-01-11T21:01:52.0477721Z             {
2023-01-11T21:01:52.0477818Z                 auto tmp0 = in_ptr0[1 + (4*i0)];
2023-01-11T21:01:52.0477912Z                 auto tmp1 = in_ptr0[42 + (4*i0)];
2023-01-11T21:01:52.0477986Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0478084Z                 auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:52.0478168Z                 auto tmp4 = tmp0 + tmp3;
2023-01-11T21:01:52.0478266Z                 auto tmp5 = static_cast<float>(2);
2023-01-11T21:01:52.0478351Z                 auto tmp6 = tmp1 + tmp5;
2023-01-11T21:01:52.0478438Z                 auto tmp7 = tmp4 + tmp6;
2023-01-11T21:01:52.0478516Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0478581Z                 out_ptr1[i0] = tmp7;
2023-01-11T21:01:52.0478645Z             }
2023-01-11T21:01:52.0478706Z         }
2023-01-11T21:01:52.0478769Z     }
2023-01-11T21:01:52.0478826Z }
2023-01-11T21:01:52.0478903Z ''')
2023-01-11T21:01:52.0478909Z 
2023-01-11T21:01:52.0478913Z 
2023-01-11T21:01:52.0478998Z async_compile.wait(globals())
2023-01-11T21:01:52.0479058Z del async_compile
2023-01-11T21:01:52.0479074Z 
2023-01-11T21:01:52.0479130Z def call(args):
2023-01-11T21:01:52.0479198Z     arg0_1, = args
2023-01-11T21:01:52.0479268Z     args.clear()
2023-01-11T21:01:52.0479464Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0479660Z     buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0479824Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0479892Z     del arg0_1
2023-01-11T21:01:52.0479955Z     return (buf0, buf1, )
2023-01-11T21:01:52.0479961Z 
2023-01-11T21:01:52.0479966Z 
2023-01-11T21:01:52.0480041Z if __name__ == "__main__":
2023-01-11T21:01:52.0480152Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0480274Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0480478Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0480584Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0480589Z 
2023-01-11T21:01:52.0480653Z ok (1.574s)
2023-01-11T21:01:52.0481097Z   test_slice_mutation1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0481259Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0481534Z [2023-01-11 20:58:40,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409
2023-01-11T21:01:52.0481799Z [2023-01-11 20:58:42,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409
2023-01-11T21:01:52.0481805Z 
2023-01-11T21:01:52.0481895Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0481963Z import torch
2023-01-11T21:01:52.0482031Z import random
2023-01-11T21:01:52.0482146Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0482267Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0482272Z 
2023-01-11T21:01:52.0482349Z aten = torch.ops.aten
2023-01-11T21:01:52.0482470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0482562Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0482567Z 
2023-01-11T21:01:52.0482571Z 
2023-01-11T21:01:52.0482700Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0482907Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0483021Z extern "C" void kernel(float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0483116Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0483206Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0483296Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:52.0483343Z {
2023-01-11T21:01:52.0483568Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0483644Z     {
2023-01-11T21:01:52.0483786Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2023-01-11T21:01:52.0483917Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0484001Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0484091Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0484162Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0484223Z     }
2023-01-11T21:01:52.0484308Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0484389Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0484451Z     {
2023-01-11T21:01:52.0484546Z         auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:52.0484639Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0484706Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0484782Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0484860Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:52.0484919Z     }
2023-01-11T21:01:52.0484992Z     #pragma GCC ivdep
2023-01-11T21:01:52.0485071Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0485132Z     {
2023-01-11T21:01:52.0485182Z         {
2023-01-11T21:01:52.0485243Z             {
2023-01-11T21:01:52.0485344Z                 auto tmp0 = static_cast<float>(3.0);
2023-01-11T21:01:52.0485430Z                 out_ptr0[3 + (8*i0)] = tmp0;
2023-01-11T21:01:52.0485492Z             }
2023-01-11T21:01:52.0485552Z         }
2023-01-11T21:01:52.0485599Z     }
2023-01-11T21:01:52.0485676Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0485730Z     {
2023-01-11T21:01:52.0485861Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0485950Z         tmp0.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0486009Z     }
2023-01-11T21:01:52.0486093Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0486158Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0486218Z     {
2023-01-11T21:01:52.0486301Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:52.0486375Z         out_ptr2[i0] = tmp0;
2023-01-11T21:01:52.0486435Z     }
2023-01-11T21:01:52.0486508Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.0486567Z     {
2023-01-11T21:01:52.0486685Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(4.0));
2023-01-11T21:01:52.0486779Z         tmp0.store(out_ptr0 + 32 + (8*i0));
2023-01-11T21:01:52.0486906Z     }
2023-01-11T21:01:52.0486994Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0487070Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:52.0487129Z     {
2023-01-11T21:01:52.0487277Z         auto tmp0 = static_cast<float>(4.0);
2023-01-11T21:01:52.0487344Z         out_ptr0[32 + i0] = tmp0;
2023-01-11T21:01:52.0487402Z     }
2023-01-11T21:01:52.0487477Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0487538Z     {
2023-01-11T21:01:52.0487666Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0487796Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0487876Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0487948Z         tmp2.store(out_ptr3 + 8*i0);
2023-01-11T21:01:52.0488011Z     }
2023-01-11T21:01:52.0488093Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0488171Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0488231Z     {
2023-01-11T21:01:52.0488309Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:52.0488404Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0488471Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0488545Z         out_ptr3[i0] = tmp2;
2023-01-11T21:01:52.0488604Z     }
2023-01-11T21:01:52.0488664Z }
2023-01-11T21:01:52.0488752Z ''')
2023-01-11T21:01:52.0488757Z 
2023-01-11T21:01:52.0488762Z 
2023-01-11T21:01:52.0488850Z async_compile.wait(globals())
2023-01-11T21:01:52.0488921Z del async_compile
2023-01-11T21:01:52.0488925Z 
2023-01-11T21:01:52.0488982Z def call(args):
2023-01-11T21:01:52.0489050Z     arg0_1, = args
2023-01-11T21:01:52.0489120Z     args.clear()
2023-01-11T21:01:52.0489314Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0489507Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0489694Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0489888Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0490065Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2023-01-11T21:01:52.0490154Z     return (buf0, buf1, buf3, buf5, )
2023-01-11T21:01:52.0490159Z 
2023-01-11T21:01:52.0490164Z 
2023-01-11T21:01:52.0490246Z if __name__ == "__main__":
2023-01-11T21:01:52.0490360Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0490482Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0490677Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0490782Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0490790Z 
2023-01-11T21:01:52.0490854Z ok (1.595s)
2023-01-11T21:01:52.0491192Z   test_slice_mutation2_cpu (__main__.CpuTests) ... [2023-01-11 20:58:42,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410
2023-01-11T21:01:52.0491445Z [2023-01-11 20:58:43,599] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410
2023-01-11T21:01:52.0491465Z 
2023-01-11T21:01:52.0491545Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0491614Z import torch
2023-01-11T21:01:52.0491686Z import random
2023-01-11T21:01:52.0491799Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0491919Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0491923Z 
2023-01-11T21:01:52.0492000Z aten = torch.ops.aten
2023-01-11T21:01:52.0492132Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0492209Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0492214Z 
2023-01-11T21:01:52.0492228Z 
2023-01-11T21:01:52.0492346Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0492548Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0492664Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0492794Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0492889Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0492981Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0493067Z {
2023-01-11T21:01:52.0493136Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0493194Z     {
2023-01-11T21:01:52.0493327Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 20 + (8*i0));
2023-01-11T21:01:52.0493454Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0493534Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0493615Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0493675Z     }
2023-01-11T21:01:52.0493749Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0493827Z     for(long i0=16; i0<20; i0+=1)
2023-01-11T21:01:52.0493883Z     {
2023-01-11T21:01:52.0493963Z         auto tmp0 = in_ptr0[20 + i0];
2023-01-11T21:01:52.0494055Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0494135Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0494210Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0494258Z     }
2023-01-11T21:01:52.0494336Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0494397Z     {
2023-01-11T21:01:52.0494525Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0494619Z         tmp0.store(out_ptr1 + 20 + (8*i0));
2023-01-11T21:01:52.0494678Z     }
2023-01-11T21:01:52.0494766Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0494831Z     for(long i0=16; i0<20; i0+=1)
2023-01-11T21:01:52.0494891Z     {
2023-01-11T21:01:52.0494970Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:52.0495049Z         out_ptr1[20 + i0] = tmp0;
2023-01-11T21:01:52.0495108Z     }
2023-01-11T21:01:52.0495183Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.0495231Z     {
2023-01-11T21:01:52.0495362Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 1 + (8*i0));
2023-01-11T21:01:52.0495492Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0495572Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0495658Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0495717Z     }
2023-01-11T21:01:52.0495804Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0495879Z     for(long i0=8; i0<9; i0+=1)
2023-01-11T21:01:52.0495925Z     {
2023-01-11T21:01:52.0496009Z         auto tmp0 = out_ptr1[1 + i0];
2023-01-11T21:01:52.0496102Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:52.0496181Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0496257Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:52.0496316Z     }
2023-01-11T21:01:52.0496379Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.0496438Z     {
2023-01-11T21:01:52.0496563Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0496653Z         tmp0.store(out_ptr1 + 2 + (8*i0));
2023-01-11T21:01:52.0496709Z     }
2023-01-11T21:01:52.0496795Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0496871Z     for(long i0=8; i0<9; i0+=1)
2023-01-11T21:01:52.0496918Z     {
2023-01-11T21:01:52.0496998Z         auto tmp0 = out_ptr2[i0];
2023-01-11T21:01:52.0497074Z         out_ptr1[2 + i0] = tmp0;
2023-01-11T21:01:52.0497135Z     }
2023-01-11T21:01:52.0497194Z }
2023-01-11T21:01:52.0497272Z ''')
2023-01-11T21:01:52.0497277Z 
2023-01-11T21:01:52.0497281Z 
2023-01-11T21:01:52.0497368Z async_compile.wait(globals())
2023-01-11T21:01:52.0497427Z del async_compile
2023-01-11T21:01:52.0497443Z 
2023-01-11T21:01:52.0497499Z def call(args):
2023-01-11T21:01:52.0497567Z     arg0_1, = args
2023-01-11T21:01:52.0497635Z     args.clear()
2023-01-11T21:01:52.0497832Z     buf0 = empty_strided((1, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0498024Z     buf2 = empty_strided((1, 9), (9, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0498213Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0498309Z     del arg0_1
2023-01-11T21:01:52.0498362Z     return ()
2023-01-11T21:01:52.0498368Z 
2023-01-11T21:01:52.0498372Z 
2023-01-11T21:01:52.0498447Z if __name__ == "__main__":
2023-01-11T21:01:52.0498585Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0498707Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0498905Z     arg0_1 = rand_strided((1, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0499012Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0499017Z 
2023-01-11T21:01:52.0499081Z ok (1.573s)
2023-01-11T21:01:52.0499526Z   test_slice_scatter2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0499654Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0499901Z [2023-01-11 20:58:43,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411
2023-01-11T21:01:52.0500163Z [2023-01-11 20:58:45,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411
2023-01-11T21:01:52.0500168Z 
2023-01-11T21:01:52.0500262Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0500331Z import torch
2023-01-11T21:01:52.0500400Z import random
2023-01-11T21:01:52.0500510Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0500631Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0500636Z 
2023-01-11T21:01:52.0500717Z aten = torch.ops.aten
2023-01-11T21:01:52.0500837Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0500927Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0500933Z 
2023-01-11T21:01:52.0500938Z 
2023-01-11T21:01:52.0501069Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0501273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0501391Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0501490Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0501550Z {
2023-01-11T21:01:52.0501631Z     for(long i0=0; i0<75648; i0+=1)
2023-01-11T21:01:52.0501679Z     {
2023-01-11T21:01:52.0501808Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0501895Z         tmp0.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0501954Z     }
2023-01-11T21:01:52.0502041Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0502124Z     for(long i0=605184; i0<605184; i0+=1)
2023-01-11T21:01:52.0502184Z     {
2023-01-11T21:01:52.0502252Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0502328Z         out_ptr0[i0] = tmp0;
2023-01-11T21:01:52.0502390Z     }
2023-01-11T21:01:52.0502448Z }
2023-01-11T21:01:52.0502523Z ''')
2023-01-11T21:01:52.0502528Z 
2023-01-11T21:01:52.0502533Z 
2023-01-11T21:01:52.0502618Z async_compile.wait(globals())
2023-01-11T21:01:52.0502688Z del async_compile
2023-01-11T21:01:52.0502696Z 
2023-01-11T21:01:52.0502752Z def call(args):
2023-01-11T21:01:52.0502826Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0502896Z     args.clear()
2023-01-11T21:01:52.0503107Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0503237Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0503301Z     del arg1_1
2023-01-11T21:01:52.0503371Z     return (buf0, )
2023-01-11T21:01:52.0503375Z 
2023-01-11T21:01:52.0503380Z 
2023-01-11T21:01:52.0503441Z if __name__ == "__main__":
2023-01-11T21:01:52.0503554Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0503674Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0503921Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0504133Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0504275Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0504281Z 
2023-01-11T21:01:52.0504347Z ok (1.585s)
2023-01-11T21:01:52.0504792Z   test_slice_scatter_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0504915Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0505162Z [2023-01-11 20:58:45,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412
2023-01-11T21:01:52.0505426Z [2023-01-11 20:58:46,779] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412
2023-01-11T21:01:52.0505431Z 
2023-01-11T21:01:52.0505523Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0505593Z import torch
2023-01-11T21:01:52.0505663Z import random
2023-01-11T21:01:52.0505776Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0505896Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0505901Z 
2023-01-11T21:01:52.0505977Z aten = torch.ops.aten
2023-01-11T21:01:52.0506098Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0506189Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0506194Z 
2023-01-11T21:01:52.0506199Z 
2023-01-11T21:01:52.0506331Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0506531Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0506650Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0506751Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0506848Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0506944Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0506992Z {
2023-01-11T21:01:52.0507066Z     #pragma GCC ivdep
2023-01-11T21:01:52.0507148Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0507206Z     {
2023-01-11T21:01:52.0507282Z         #pragma GCC ivdep
2023-01-11T21:01:52.0507363Z         for(long i1=0; i1<100; i1+=1)
2023-01-11T21:01:52.0507423Z         {
2023-01-11T21:01:52.0507474Z             {
2023-01-11T21:01:52.0507531Z                 {
2023-01-11T21:01:52.0507632Z                     auto tmp8 = in_ptr1[i1 + (100*i0)];
2023-01-11T21:01:52.0507734Z                     auto tmp0 = static_cast<int>(i1);
2023-01-11T21:01:52.0507830Z                     auto tmp1 = static_cast<int>(10);
2023-01-11T21:01:52.0507922Z                     auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:52.0508019Z                     auto tmp3 = static_cast<int>(90);
2023-01-11T21:01:52.0508095Z                     auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:52.0508183Z                     auto tmp5 = tmp2 & tmp4;
2023-01-11T21:01:52.0508264Z                     float tmp6 = 0.0;
2023-01-11T21:01:52.0508332Z                     if(tmp5)
2023-01-11T21:01:52.0508397Z                     {
2023-01-11T21:01:52.0508561Z                         auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)];
2023-01-11T21:01:52.0508667Z                         tmp6 = tmp7;
2023-01-11T21:01:52.0508743Z                     }
2023-01-11T21:01:52.0508876Z                     auto tmp9 = tmp5 ? tmp6 : tmp8;
2023-01-11T21:01:52.0509042Z                     auto tmp10 = static_cast<int>(i1 % 2);
2023-01-11T21:01:52.0509151Z                     auto tmp11 = static_cast<int>(0);
2023-01-11T21:01:52.0509248Z                     auto tmp12 = tmp10 == tmp11;
2023-01-11T21:01:52.0509376Z                     auto tmp13 = tmp5 & tmp12;
2023-01-11T21:01:52.0509454Z                     float tmp14 = 0.0;
2023-01-11T21:01:52.0509513Z                     if(tmp13)
2023-01-11T21:01:52.0509579Z                     {
2023-01-11T21:01:52.0509783Z                         auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)];
2023-01-11T21:01:52.0509868Z                         tmp14 = tmp15;
2023-01-11T21:01:52.0509936Z                     }
2023-01-11T21:01:52.0510037Z                     auto tmp16 = tmp13 ? tmp14 : tmp8;
2023-01-11T21:01:52.0510127Z                     out_ptr0[i1 + (100*i0)] = tmp9;
2023-01-11T21:01:52.0510206Z                     out_ptr1[i1 + (100*i0)] = tmp16;
2023-01-11T21:01:52.0510271Z                 }
2023-01-11T21:01:52.0510330Z             }
2023-01-11T21:01:52.0510390Z         }
2023-01-11T21:01:52.0510453Z     }
2023-01-11T21:01:52.0510511Z }
2023-01-11T21:01:52.0510588Z ''')
2023-01-11T21:01:52.0510593Z 
2023-01-11T21:01:52.0510597Z 
2023-01-11T21:01:52.0510672Z async_compile.wait(globals())
2023-01-11T21:01:52.0510747Z del async_compile
2023-01-11T21:01:52.0510752Z 
2023-01-11T21:01:52.0510823Z def call(args):
2023-01-11T21:01:52.0510901Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0510972Z     args.clear()
2023-01-11T21:01:52.0511182Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0511388Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0511577Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0511631Z     del arg0_1
2023-01-11T21:01:52.0511695Z     del arg1_1
2023-01-11T21:01:52.0511770Z     return (buf0, buf1, )
2023-01-11T21:01:52.0511775Z 
2023-01-11T21:01:52.0511779Z 
2023-01-11T21:01:52.0511853Z if __name__ == "__main__":
2023-01-11T21:01:52.0511965Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0512087Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0512300Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0512506Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0512610Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0512615Z 
2023-01-11T21:01:52.0512680Z ok (1.597s)
2023-01-11T21:01:52.0513194Z   test_softmax_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0513320Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0513583Z [2023-01-11 20:58:46,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413
2023-01-11T21:01:52.0513591Z 
2023-01-11T21:01:52.0513684Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0513754Z import torch
2023-01-11T21:01:52.0513823Z import random
2023-01-11T21:01:52.0513924Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0514045Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0514050Z 
2023-01-11T21:01:52.0514125Z aten = torch.ops.aten
2023-01-11T21:01:52.0514255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0514345Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0514351Z 
2023-01-11T21:01:52.0514355Z 
2023-01-11T21:01:52.0514490Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0514693Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0514806Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0514907Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:52.0515031Z                        float* __restrict__ in_out_ptr2,
2023-01-11T21:01:52.0515137Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0515239Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0515366Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0515463Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0515553Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0515648Z                        float* __restrict__ out_ptr6,
2023-01-11T21:01:52.0515727Z                        float* __restrict__ out_ptr7,
2023-01-11T21:01:52.0515818Z                        float* __restrict__ out_ptr8)
2023-01-11T21:01:52.0515879Z {
2023-01-11T21:01:52.0515964Z     auto out_ptr3 = in_out_ptr0;
2023-01-11T21:01:52.0516047Z     auto out_ptr4 = in_out_ptr1;
2023-01-11T21:01:52.0516127Z     auto out_ptr5 = in_out_ptr2;
2023-01-11T21:01:52.0516200Z     #pragma GCC ivdep
2023-01-11T21:01:52.0516268Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0516330Z     {
2023-01-11T21:01:52.0516393Z         {
2023-01-11T21:01:52.0516772Z             #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:52.0517003Z             float tmp3 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0517127Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0517325Z             float tmp4 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0517444Z             auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2023-01-11T21:01:52.0517513Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0517576Z             {
2023-01-11T21:01:52.0517712Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0517846Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0517936Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0518046Z                 tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2023-01-11T21:01:52.0518158Z                 tmp4_vec = at::vec::maximum(tmp4_vec, tmp1);
2023-01-11T21:01:52.0518223Z             }
2023-01-11T21:01:52.0518429Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2023-01-11T21:01:52.0518624Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp4_vec);
2023-01-11T21:01:52.0518768Z             #pragma omp simd simdlen(4)  reduction(max:tmp3) reduction(max:tmp4)
2023-01-11T21:01:52.0518849Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0518912Z             {
2023-01-11T21:01:52.0519006Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0519100Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:52.0519189Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0519282Z                 tmp3 = std::max(tmp3, tmp2);
2023-01-11T21:01:52.0519366Z                 tmp4 = std::max(tmp4, tmp1);
2023-01-11T21:01:52.0519425Z             }
2023-01-11T21:01:52.0519503Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0519578Z             out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.0519641Z         }
2023-01-11T21:01:52.0519701Z     }
2023-01-11T21:01:52.0519765Z     #pragma GCC ivdep
2023-01-11T21:01:52.0519844Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0519905Z     {
2023-01-11T21:01:52.0519968Z         {
2023-01-11T21:01:52.0520030Z             {
2023-01-11T21:01:52.0520236Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0520323Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0520375Z                 {
2023-01-11T21:01:52.0520443Z                     {
2023-01-11T21:01:52.0520574Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:52.0520676Z                         tmp1 = std::max(tmp1, tmp0);
2023-01-11T21:01:52.0520743Z                     }
2023-01-11T21:01:52.0520806Z                 }
2023-01-11T21:01:52.0520918Z                 out_ptr2[i0] = tmp1;
2023-01-11T21:01:52.0520968Z             }
2023-01-11T21:01:52.0521029Z         }
2023-01-11T21:01:52.0521090Z     }
2023-01-11T21:01:52.0521164Z     #pragma GCC ivdep
2023-01-11T21:01:52.0521242Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0521303Z     {
2023-01-11T21:01:52.0521364Z         {
2023-01-11T21:01:52.0521540Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0521615Z             float tmp12 = 0;
2023-01-11T21:01:52.0521732Z             auto tmp12_vec = at::vec::Vectorized<float>(tmp12);
2023-01-11T21:01:52.0521813Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0521878Z             {
2023-01-11T21:01:52.0522014Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0522151Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0522276Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:52.0522396Z                 auto tmp6 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i1);
2023-01-11T21:01:52.0522517Z                 auto tmp9 = at::vec::Vectorized<float>(out_ptr1[i0]);
2023-01-11T21:01:52.0522607Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0522736Z                 auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:52.0522820Z                 auto tmp5 = tmp4.exp();
2023-01-11T21:01:52.0522944Z                 auto tmp7 = tmp0 - tmp6;
2023-01-11T21:01:52.0523026Z                 auto tmp8 = tmp7.exp();
2023-01-11T21:01:52.0523141Z                 auto tmp10 = tmp1 - tmp9;
2023-01-11T21:01:52.0523228Z                 auto tmp11 = tmp10.exp();
2023-01-11T21:01:52.0523332Z                 tmp5.store(out_ptr3 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0523604Z                 tmp8.store(out_ptr4 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0523717Z                 tmp11.store(out_ptr5 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0523798Z                 tmp12_vec += tmp5;
2023-01-11T21:01:52.0523859Z             }
2023-01-11T21:01:52.0524056Z             tmp12 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp12_vec);
2023-01-11T21:01:52.0524163Z             #pragma omp simd simdlen(4)  reduction(+:tmp12)
2023-01-11T21:01:52.0524244Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0524307Z             {
2023-01-11T21:01:52.0524401Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0524495Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:52.0524582Z                 auto tmp3 = out_ptr0[i0];
2023-01-11T21:01:52.0524670Z                 auto tmp6 = out_ptr2[i1];
2023-01-11T21:01:52.0524742Z                 auto tmp9 = out_ptr1[i0];
2023-01-11T21:01:52.0524831Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0524961Z                 auto tmp4 = tmp2 - tmp3;
2023-01-11T21:01:52.0525056Z                 auto tmp5 = std::exp(tmp4);
2023-01-11T21:01:52.0525183Z                 auto tmp7 = tmp0 - tmp6;
2023-01-11T21:01:52.0525273Z                 auto tmp8 = std::exp(tmp7);
2023-01-11T21:01:52.0525400Z                 auto tmp10 = tmp1 - tmp9;
2023-01-11T21:01:52.0525482Z                 auto tmp11 = std::exp(tmp10);
2023-01-11T21:01:52.0525570Z                 out_ptr3[i1 + (8*i0)] = tmp5;
2023-01-11T21:01:52.0525656Z                 out_ptr4[i1 + (8*i0)] = tmp8;
2023-01-11T21:01:52.0525746Z                 out_ptr5[i1 + (8*i0)] = tmp11;
2023-01-11T21:01:52.0525822Z                 tmp12 += tmp5;
2023-01-11T21:01:52.0525884Z             }
2023-01-11T21:01:52.0525963Z             out_ptr6[i0] = tmp12;
2023-01-11T21:01:52.0526077Z         }
2023-01-11T21:01:52.0526137Z     }
2023-01-11T21:01:52.0526211Z     #pragma GCC ivdep
2023-01-11T21:01:52.0526288Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0526350Z     {
2023-01-11T21:01:52.0526478Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0526540Z         {
2023-01-11T21:01:52.0526667Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0526789Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr6[i0]);
2023-01-11T21:01:52.0526872Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0526975Z             tmp2.store(in_out_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0527038Z         }
2023-01-11T21:01:52.0527128Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0527208Z         for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0527256Z         {
2023-01-11T21:01:52.0527350Z             auto tmp0 = out_ptr3[i1 + (8*i0)];
2023-01-11T21:01:52.0527436Z             auto tmp1 = out_ptr6[i0];
2023-01-11T21:01:52.0527518Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0527605Z             in_out_ptr0[i1 + (8*i0)] = tmp2;
2023-01-11T21:01:52.0527666Z         }
2023-01-11T21:01:52.0527726Z     }
2023-01-11T21:01:52.0527788Z     #pragma GCC ivdep
2023-01-11T21:01:52.0527867Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0527928Z     {
2023-01-11T21:01:52.0527990Z         {
2023-01-11T21:01:52.0528053Z             {
2023-01-11T21:01:52.0528127Z                 float tmp1 = 0;
2023-01-11T21:01:52.0528214Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0528266Z                 {
2023-01-11T21:01:52.0528331Z                     {
2023-01-11T21:01:52.0528432Z                         auto tmp0 = out_ptr4[i0 + (8*i1)];
2023-01-11T21:01:52.0528510Z                         tmp1 += tmp0;
2023-01-11T21:01:52.0528575Z                     }
2023-01-11T21:01:52.0528638Z                 }
2023-01-11T21:01:52.0528706Z                 out_ptr7[i0] = tmp1;
2023-01-11T21:01:52.0528770Z             }
2023-01-11T21:01:52.0528832Z         }
2023-01-11T21:01:52.0528893Z     }
2023-01-11T21:01:52.0528967Z     #pragma GCC ivdep
2023-01-11T21:01:52.0529042Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0529099Z     {
2023-01-11T21:01:52.0529167Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0529225Z         {
2023-01-11T21:01:52.0529363Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0529496Z             auto tmp1 = at::vec::Vectorized<float>::loadu(out_ptr7 + 8*i1);
2023-01-11T21:01:52.0529578Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0529677Z             tmp2.store(in_out_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0529740Z         }
2023-01-11T21:01:52.0529814Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0529892Z         for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0529954Z         {
2023-01-11T21:01:52.0530046Z             auto tmp0 = out_ptr4[i1 + (8*i0)];
2023-01-11T21:01:52.0530132Z             auto tmp1 = out_ptr7[i1];
2023-01-11T21:01:52.0530212Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0530301Z             in_out_ptr1[i1 + (8*i0)] = tmp2;
2023-01-11T21:01:52.0530350Z         }
2023-01-11T21:01:52.0530410Z     }
2023-01-11T21:01:52.0530485Z     #pragma GCC ivdep
2023-01-11T21:01:52.0530562Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0530618Z     {
2023-01-11T21:01:52.0530678Z         {
2023-01-11T21:01:52.0530864Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0530928Z             float tmp1 = 0;
2023-01-11T21:01:52.0531046Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0531127Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0531191Z             {
2023-01-11T21:01:52.0531330Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0531408Z                 tmp1_vec += tmp0;
2023-01-11T21:01:52.0531503Z             }
2023-01-11T21:01:52.0531696Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.0531826Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.0531911Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0531974Z             {
2023-01-11T21:01:52.0532069Z                 auto tmp0 = out_ptr5[i1 + (8*i0)];
2023-01-11T21:01:52.0532143Z                 tmp1 += tmp0;
2023-01-11T21:01:52.0532206Z             }
2023-01-11T21:01:52.0532282Z             out_ptr8[i0] = tmp1;
2023-01-11T21:01:52.0532332Z         }
2023-01-11T21:01:52.0532393Z     }
2023-01-11T21:01:52.0532467Z     #pragma GCC ivdep
2023-01-11T21:01:52.0532545Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0532605Z     {
2023-01-11T21:01:52.0532683Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0532744Z         {
2023-01-11T21:01:52.0532869Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0532992Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr8[i0]);
2023-01-11T21:01:52.0533076Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0533178Z             tmp2.store(in_out_ptr2 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0533240Z         }
2023-01-11T21:01:52.0533328Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0533407Z         for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0533456Z         {
2023-01-11T21:01:52.0533549Z             auto tmp0 = out_ptr5[i1 + (8*i0)];
2023-01-11T21:01:52.0533630Z             auto tmp1 = out_ptr8[i0];
2023-01-11T21:01:52.0533710Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0533800Z             in_out_ptr2[i1 + (8*i0)] = tmp2;
2023-01-11T21:01:52.0533862Z         }
2023-01-11T21:01:52.0533921Z     }
2023-01-11T21:01:52.0533968Z }
2023-01-11T21:01:52.0534055Z ''')
2023-01-11T21:01:52.0534061Z 
2023-01-11T21:01:52.0534066Z 
2023-01-11T21:01:52.0534159Z async_compile.wait(globals())
2023-01-11T21:01:52.0534229Z del async_compile
2023-01-11T21:01:52.0534234Z 
2023-01-11T21:01:52.0534304Z def call(args):
2023-01-11T21:01:52.0534379Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0534453Z     args.clear()
2023-01-11T21:01:52.0534636Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0534830Z     buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0535020Z     buf4 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0535207Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0535393Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0535575Z     buf9 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0535757Z     buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0535846Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:52.0536016Z     buf6 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0536098Z     buf7 = buf5; del buf5  # reuse
2023-01-11T21:01:52.0536294Z     buf10 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0536377Z     buf11 = buf9; del buf9  # reuse
2023-01-11T21:01:52.0536727Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()))
2023-01-11T21:01:52.0536796Z     del arg0_1
2023-01-11T21:01:52.0536862Z     del arg1_1
2023-01-11T21:01:52.0536945Z     return (buf3, buf7, buf11, )
2023-01-11T21:01:52.0536951Z 
2023-01-11T21:01:52.0536955Z 
2023-01-11T21:01:52.0537017Z if __name__ == "__main__":
2023-01-11T21:01:52.0537164Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0537285Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0537483Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0537739Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0537853Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0538123Z [2023-01-11 20:58:48,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413
2023-01-11T21:01:52.0538129Z 
2023-01-11T21:01:52.0538195Z ok (1.677s)
2023-01-11T21:01:52.0538640Z   test_softmax_one_kernel_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0538756Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0539014Z [2023-01-11 20:58:48,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414
2023-01-11T21:01:52.0539280Z [2023-01-11 20:58:50,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414
2023-01-11T21:01:52.0539285Z 
2023-01-11T21:01:52.0539378Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0539447Z import torch
2023-01-11T21:01:52.0539518Z import random
2023-01-11T21:01:52.0539631Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0539753Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0539757Z 
2023-01-11T21:01:52.0539823Z aten = torch.ops.aten
2023-01-11T21:01:52.0539954Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0540044Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0540051Z 
2023-01-11T21:01:52.0540055Z 
2023-01-11T21:01:52.0540189Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0540395Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0540515Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0540622Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0540720Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0540802Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0540862Z {
2023-01-11T21:01:52.0540946Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:52.0541026Z     #pragma GCC ivdep
2023-01-11T21:01:52.0541106Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:52.0541169Z     {
2023-01-11T21:01:52.0541233Z         {
2023-01-11T21:01:52.0541602Z             #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2023-01-11T21:01:52.0541798Z             float tmp1 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0541918Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0542004Z             for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0542069Z             {
2023-01-11T21:01:52.0542210Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0542325Z                 tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2023-01-11T21:01:52.0542389Z             }
2023-01-11T21:01:52.0542600Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2023-01-11T21:01:52.0542706Z             #pragma omp simd simdlen(4)  reduction(max:tmp1)
2023-01-11T21:01:52.0542792Z             for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:52.0542856Z             {
2023-01-11T21:01:52.0542953Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:52.0543081Z                 tmp1 = std::max(tmp1, tmp0);
2023-01-11T21:01:52.0543142Z             }
2023-01-11T21:01:52.0543221Z             out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0543271Z         }
2023-01-11T21:01:52.0543360Z     }
2023-01-11T21:01:52.0543441Z     #pragma GCC ivdep
2023-01-11T21:01:52.0543519Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:52.0543579Z     {
2023-01-11T21:01:52.0543643Z         {
2023-01-11T21:01:52.0543828Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0543891Z             float tmp4 = 0;
2023-01-11T21:01:52.0544011Z             auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2023-01-11T21:01:52.0544094Z             for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0544156Z             {
2023-01-11T21:01:52.0544294Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0544422Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:52.0544510Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0544595Z                 auto tmp3 = tmp2.exp();
2023-01-11T21:01:52.0544685Z                 tmp3.store(out_ptr1 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0544763Z                 tmp4_vec += tmp3;
2023-01-11T21:01:52.0544827Z             }
2023-01-11T21:01:52.0545019Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2023-01-11T21:01:52.0545136Z             #pragma omp simd simdlen(4)  reduction(+:tmp4)
2023-01-11T21:01:52.0545222Z             for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:52.0545287Z             {
2023-01-11T21:01:52.0545369Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:52.0545455Z                 auto tmp1 = out_ptr0[i0];
2023-01-11T21:01:52.0545545Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0545640Z                 auto tmp3 = std::exp(tmp2);
2023-01-11T21:01:52.0545731Z                 out_ptr1[i1 + (32*i0)] = tmp3;
2023-01-11T21:01:52.0545804Z                 tmp4 += tmp3;
2023-01-11T21:01:52.0545866Z             }
2023-01-11T21:01:52.0545933Z             out_ptr2[i0] = tmp4;
2023-01-11T21:01:52.0545997Z         }
2023-01-11T21:01:52.0546058Z     }
2023-01-11T21:01:52.0546133Z     #pragma GCC ivdep
2023-01-11T21:01:52.0546212Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:52.0546272Z     {
2023-01-11T21:01:52.0546353Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0546402Z         {
2023-01-11T21:01:52.0546540Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0546663Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2023-01-11T21:01:52.0546748Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0546852Z             tmp2.store(in_out_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0546914Z         }
2023-01-11T21:01:52.0547005Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0547072Z         for(long i1=32; i1<32; i1+=1)
2023-01-11T21:01:52.0547134Z         {
2023-01-11T21:01:52.0547229Z             auto tmp0 = out_ptr1[i1 + (32*i0)];
2023-01-11T21:01:52.0547314Z             auto tmp1 = out_ptr2[i0];
2023-01-11T21:01:52.0547396Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0547487Z             in_out_ptr0[i1 + (32*i0)] = tmp2;
2023-01-11T21:01:52.0547549Z         }
2023-01-11T21:01:52.0547597Z     }
2023-01-11T21:01:52.0547658Z }
2023-01-11T21:01:52.0547738Z ''')
2023-01-11T21:01:52.0547744Z 
2023-01-11T21:01:52.0547748Z 
2023-01-11T21:01:52.0547835Z async_compile.wait(globals())
2023-01-11T21:01:52.0547907Z del async_compile
2023-01-11T21:01:52.0547912Z 
2023-01-11T21:01:52.0547981Z def call(args):
2023-01-11T21:01:52.0548050Z     arg0_1, = args
2023-01-11T21:01:52.0548109Z     args.clear()
2023-01-11T21:01:52.0548308Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0548538Z     buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0548733Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0548843Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:52.0549030Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0549098Z     del arg0_1
2023-01-11T21:01:52.0549170Z     return (buf3, )
2023-01-11T21:01:52.0549175Z 
2023-01-11T21:01:52.0549180Z 
2023-01-11T21:01:52.0549241Z if __name__ == "__main__":
2023-01-11T21:01:52.0549355Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0549478Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0549677Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0549784Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0549791Z 
2023-01-11T21:01:52.0549855Z ok (1.600s)
2023-01-11T21:01:52.0550290Z   test_sort_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0550417Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0550676Z [2023-01-11 20:58:50,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415
2023-01-11T21:01:52.0550878Z [2023-01-11 20:58:50,083] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2023-01-11T21:01:52.0551139Z [2023-01-11 20:58:50,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415
2023-01-11T21:01:52.0551145Z 
2023-01-11T21:01:52.0551238Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0551308Z import torch
2023-01-11T21:01:52.0551378Z import random
2023-01-11T21:01:52.0551491Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0551612Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0551619Z 
2023-01-11T21:01:52.0551696Z aten = torch.ops.aten
2023-01-11T21:01:52.0551816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0551908Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0551913Z 
2023-01-11T21:01:52.0551918Z 
2023-01-11T21:01:52.0552002Z async_compile.wait(globals())
2023-01-11T21:01:52.0552073Z del async_compile
2023-01-11T21:01:52.0552077Z 
2023-01-11T21:01:52.0552145Z def call(args):
2023-01-11T21:01:52.0552214Z     arg0_1, = args
2023-01-11T21:01:52.0552282Z     args.clear()
2023-01-11T21:01:52.0552362Z     buf0 = aten.sort(arg0_1)
2023-01-11T21:01:52.0552415Z     del arg0_1
2023-01-11T21:01:52.0552478Z     buf1 = buf0[0]
2023-01-11T21:01:52.0552581Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2023-01-11T21:01:52.0552650Z     buf2 = buf0[1]
2023-01-11T21:01:52.0552753Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2023-01-11T21:01:52.0552818Z     del buf0
2023-01-11T21:01:52.0552964Z     return (buf1, buf2, )
2023-01-11T21:01:52.0552983Z 
2023-01-11T21:01:52.0552988Z 
2023-01-11T21:01:52.0553050Z if __name__ == "__main__":
2023-01-11T21:01:52.0553160Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0553281Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0553494Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0553600Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0553605Z 
2023-01-11T21:01:52.0553670Z ok (0.027s)
2023-01-11T21:01:52.0554102Z   test_split_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0554298Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0554555Z [2023-01-11 20:58:50,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416
2023-01-11T21:01:52.0554809Z [2023-01-11 20:58:50,115] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416
2023-01-11T21:01:52.0555209Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0555333Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0555591Z [2023-01-11 20:58:50,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417
2023-01-11T21:01:52.0555853Z [2023-01-11 20:58:51,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417
2023-01-11T21:01:52.0555859Z 
2023-01-11T21:01:52.0555950Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0556020Z import torch
2023-01-11T21:01:52.0556091Z import random
2023-01-11T21:01:52.0556207Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0556314Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0556320Z 
2023-01-11T21:01:52.0556397Z aten = torch.ops.aten
2023-01-11T21:01:52.0556530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0556621Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0556626Z 
2023-01-11T21:01:52.0556630Z 
2023-01-11T21:01:52.0556715Z async_compile.wait(globals())
2023-01-11T21:01:52.0556786Z del async_compile
2023-01-11T21:01:52.0556793Z 
2023-01-11T21:01:52.0556862Z def call(args):
2023-01-11T21:01:52.0556929Z     arg0_1, = args
2023-01-11T21:01:52.0556986Z     args.clear()
2023-01-11T21:01:52.0557180Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2023-01-11T21:01:52.0557186Z 
2023-01-11T21:01:52.0557191Z 
2023-01-11T21:01:52.0557265Z if __name__ == "__main__":
2023-01-11T21:01:52.0557378Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0557499Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0557706Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0557813Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0557818Z 
2023-01-11T21:01:52.0557822Z 
2023-01-11T21:01:52.0557913Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0557985Z import torch
2023-01-11T21:01:52.0558041Z import random
2023-01-11T21:01:52.0558153Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0558273Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0558278Z 
2023-01-11T21:01:52.0558358Z aten = torch.ops.aten
2023-01-11T21:01:52.0558490Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0558582Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0558587Z 
2023-01-11T21:01:52.0558591Z 
2023-01-11T21:01:52.0558723Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0558927Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0559032Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0559132Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0559194Z {
2023-01-11T21:01:52.0559273Z     for(long i0=0; i0<5; i0+=1)
2023-01-11T21:01:52.0559336Z     {
2023-01-11T21:01:52.0559503Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0559633Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0559703Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0559816Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0559877Z     }
2023-01-11T21:01:52.0559965Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0560046Z     for(long i0=40; i0<40; i0+=1)
2023-01-11T21:01:52.0560107Z     {
2023-01-11T21:01:52.0560187Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0560269Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0560347Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0560426Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0560486Z     }
2023-01-11T21:01:52.0560546Z }
2023-01-11T21:01:52.0560623Z ''')
2023-01-11T21:01:52.0560628Z 
2023-01-11T21:01:52.0560633Z 
2023-01-11T21:01:52.0560720Z async_compile.wait(globals())
2023-01-11T21:01:52.0560780Z del async_compile
2023-01-11T21:01:52.0560786Z 
2023-01-11T21:01:52.0560855Z def call(args):
2023-01-11T21:01:52.0560922Z     arg0_1, = args
2023-01-11T21:01:52.0560993Z     args.clear()
2023-01-11T21:01:52.0561200Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0561330Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0561397Z     del arg0_1
2023-01-11T21:01:52.0561572Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2023-01-11T21:01:52.0561592Z 
2023-01-11T21:01:52.0561596Z 
2023-01-11T21:01:52.0561658Z if __name__ == "__main__":
2023-01-11T21:01:52.0561771Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0561893Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0562098Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0562208Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0562213Z 
2023-01-11T21:01:52.0562279Z ok (1.588s)
2023-01-11T21:01:52.0562721Z   test_split_with_sizes_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0562847Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0563106Z [2023-01-11 20:58:51,710] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418
2023-01-11T21:01:52.0563487Z [2023-01-11 20:58:53,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418
2023-01-11T21:01:52.0563920Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0564045Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0564303Z [2023-01-11 20:58:53,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419
2023-01-11T21:01:52.0564564Z [2023-01-11 20:58:54,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419
2023-01-11T21:01:52.0564960Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0565134Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0565390Z [2023-01-11 20:58:54,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420
2023-01-11T21:01:52.0565395Z 
2023-01-11T21:01:52.0565534Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0565604Z import torch
2023-01-11T21:01:52.0565660Z import random
2023-01-11T21:01:52.0565773Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0565896Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0565901Z 
2023-01-11T21:01:52.0565979Z aten = torch.ops.aten
2023-01-11T21:01:52.0566114Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0566207Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0566212Z 
2023-01-11T21:01:52.0566217Z 
2023-01-11T21:01:52.0566345Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0566550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0566657Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0566756Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0566853Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0566946Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0567007Z {
2023-01-11T21:01:52.0567081Z     #pragma GCC ivdep
2023-01-11T21:01:52.0567161Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0567209Z     {
2023-01-11T21:01:52.0567288Z         #pragma GCC ivdep
2023-01-11T21:01:52.0567371Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0567432Z         {
2023-01-11T21:01:52.0567492Z             {
2023-01-11T21:01:52.0567558Z                 {
2023-01-11T21:01:52.0567657Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.0567750Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0567839Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0567944Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0568034Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0568126Z                     out_ptr0[i1 + (3*i0)] = tmp4;
2023-01-11T21:01:52.0568191Z                 }
2023-01-11T21:01:52.0568255Z             }
2023-01-11T21:01:52.0568304Z         }
2023-01-11T21:01:52.0568364Z     }
2023-01-11T21:01:52.0568438Z     #pragma GCC ivdep
2023-01-11T21:01:52.0568517Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0568577Z     {
2023-01-11T21:01:52.0568653Z         #pragma GCC ivdep
2023-01-11T21:01:52.0568732Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0568781Z         {
2023-01-11T21:01:52.0568844Z             {
2023-01-11T21:01:52.0568904Z                 {
2023-01-11T21:01:52.0569005Z                     auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2023-01-11T21:01:52.0569108Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0569199Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0569304Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0569380Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0569472Z                     out_ptr1[i1 + (3*i0)] = tmp4;
2023-01-11T21:01:52.0569536Z                 }
2023-01-11T21:01:52.0569598Z             }
2023-01-11T21:01:52.0569659Z         }
2023-01-11T21:01:52.0569720Z     }
2023-01-11T21:01:52.0569780Z     #pragma GCC ivdep
2023-01-11T21:01:52.0569858Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0569917Z     {
2023-01-11T21:01:52.0569992Z         #pragma GCC ivdep
2023-01-11T21:01:52.0570072Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0570134Z         {
2023-01-11T21:01:52.0570195Z             {
2023-01-11T21:01:52.0570246Z                 {
2023-01-11T21:01:52.0570348Z                     auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2023-01-11T21:01:52.0570450Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0570573Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0570676Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0570767Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0570884Z                     out_ptr2[i1 + (4*i0)] = tmp4;
2023-01-11T21:01:52.0570936Z                 }
2023-01-11T21:01:52.0570999Z             }
2023-01-11T21:01:52.0571061Z         }
2023-01-11T21:01:52.0571123Z     }
2023-01-11T21:01:52.0571182Z }
2023-01-11T21:01:52.0571259Z ''')
2023-01-11T21:01:52.0571264Z 
2023-01-11T21:01:52.0571268Z 
2023-01-11T21:01:52.0571355Z async_compile.wait(globals())
2023-01-11T21:01:52.0571413Z del async_compile
2023-01-11T21:01:52.0571418Z 
2023-01-11T21:01:52.0571484Z def call(args):
2023-01-11T21:01:52.0571552Z     arg0_1, = args
2023-01-11T21:01:52.0571624Z     args.clear()
2023-01-11T21:01:52.0571830Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0572029Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0572228Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0572418Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0572473Z     del arg0_1
2023-01-11T21:01:52.0572555Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0572560Z 
2023-01-11T21:01:52.0572565Z 
2023-01-11T21:01:52.0572641Z if __name__ == "__main__":
2023-01-11T21:01:52.0572753Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0572874Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0573079Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0573185Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0573190Z 
2023-01-11T21:01:52.0573194Z 
2023-01-11T21:01:52.0573286Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0573344Z import torch
2023-01-11T21:01:52.0573412Z import random
2023-01-11T21:01:52.0573527Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0573647Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0573655Z 
2023-01-11T21:01:52.0573733Z aten = torch.ops.aten
2023-01-11T21:01:52.0573865Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0573955Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0573960Z 
2023-01-11T21:01:52.0573965Z 
2023-01-11T21:01:52.0574095Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0574287Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0574403Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0574502Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0574599Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0574693Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0574757Z {
2023-01-11T21:01:52.0574830Z     #pragma GCC ivdep
2023-01-11T21:01:52.0574896Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0574957Z     {
2023-01-11T21:01:52.0575037Z         #pragma GCC ivdep
2023-01-11T21:01:52.0575119Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0575181Z         {
2023-01-11T21:01:52.0575245Z             {
2023-01-11T21:01:52.0575309Z                 {
2023-01-11T21:01:52.0575395Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.0575500Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0575590Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0575690Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0575779Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0575872Z                     out_ptr0[i1 + (4*i0)] = tmp4;
2023-01-11T21:01:52.0575937Z                 }
2023-01-11T21:01:52.0576020Z             }
2023-01-11T21:01:52.0576082Z         }
2023-01-11T21:01:52.0576143Z     }
2023-01-11T21:01:52.0576218Z     #pragma GCC ivdep
2023-01-11T21:01:52.0576293Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0576354Z     {
2023-01-11T21:01:52.0576444Z         #pragma GCC ivdep
2023-01-11T21:01:52.0576525Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0576589Z         {
2023-01-11T21:01:52.0576648Z             {
2023-01-11T21:01:52.0576713Z                 {
2023-01-11T21:01:52.0576815Z                     auto tmp0 = in_ptr0[4 + i1 + (10*i0)];
2023-01-11T21:01:52.0576918Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0576995Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0577097Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0577186Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0577277Z                     out_ptr1[i1 + (3*i0)] = tmp4;
2023-01-11T21:01:52.0577342Z                 }
2023-01-11T21:01:52.0577408Z             }
2023-01-11T21:01:52.0577470Z         }
2023-01-11T21:01:52.0577519Z     }
2023-01-11T21:01:52.0577596Z     #pragma GCC ivdep
2023-01-11T21:01:52.0577673Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0577734Z     {
2023-01-11T21:01:52.0577811Z         #pragma GCC ivdep
2023-01-11T21:01:52.0577893Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0577942Z         {
2023-01-11T21:01:52.0578004Z             {
2023-01-11T21:01:52.0578068Z                 {
2023-01-11T21:01:52.0578169Z                     auto tmp0 = in_ptr0[7 + i1 + (10*i0)];
2023-01-11T21:01:52.0578271Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0578359Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0578461Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0578536Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0578627Z                     out_ptr2[i1 + (3*i0)] = tmp4;
2023-01-11T21:01:52.0578692Z                 }
2023-01-11T21:01:52.0578756Z             }
2023-01-11T21:01:52.0578815Z         }
2023-01-11T21:01:52.0578874Z     }
2023-01-11T21:01:52.0578933Z }
2023-01-11T21:01:52.0579000Z ''')
2023-01-11T21:01:52.0579006Z 
2023-01-11T21:01:52.0579024Z 
2023-01-11T21:01:52.0579101Z async_compile.wait(globals())
2023-01-11T21:01:52.0579170Z del async_compile
2023-01-11T21:01:52.0579174Z 
2023-01-11T21:01:52.0579243Z def call(args):
2023-01-11T21:01:52.0579308Z     arg0_1, = args
2023-01-11T21:01:52.0579377Z     args.clear()
2023-01-11T21:01:52.0579577Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0579774Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0579957Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0580148Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0580218Z     del arg0_1
2023-01-11T21:01:52.0580298Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0580303Z 
2023-01-11T21:01:52.0580307Z 
2023-01-11T21:01:52.0580382Z if __name__ == "__main__":
2023-01-11T21:01:52.0580497Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0580617Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0580819Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0580911Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0580916Z 
2023-01-11T21:01:52.0580937Z 
2023-01-11T21:01:52.0581015Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0581082Z import torch
2023-01-11T21:01:52.0581152Z import random
2023-01-11T21:01:52.0581266Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0581387Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0581391Z 
2023-01-11T21:01:52.0581468Z aten = torch.ops.aten
2023-01-11T21:01:52.0581646Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0581723Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0581728Z 
2023-01-11T21:01:52.0581732Z 
2023-01-11T21:01:52.0581891Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0582094Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0582212Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0582310Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0582407Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0582500Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0582590Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:52.0582638Z {
2023-01-11T21:01:52.0582713Z     #pragma GCC ivdep
2023-01-11T21:01:52.0582792Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0582851Z     {
2023-01-11T21:01:52.0582915Z         {
2023-01-11T21:01:52.0582979Z             {
2023-01-11T21:01:52.0583058Z                 auto tmp0 = in_ptr0[10*i0];
2023-01-11T21:01:52.0583156Z                 auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0583243Z                 auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0583341Z                 auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0583426Z                 auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0583508Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.0583570Z             }
2023-01-11T21:01:52.0583619Z         }
2023-01-11T21:01:52.0583682Z     }
2023-01-11T21:01:52.0583755Z     #pragma GCC ivdep
2023-01-11T21:01:52.0583832Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0583890Z     {
2023-01-11T21:01:52.0583965Z         #pragma GCC ivdep
2023-01-11T21:01:52.0584043Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:52.0584092Z         {
2023-01-11T21:01:52.0584154Z             {
2023-01-11T21:01:52.0584217Z                 {
2023-01-11T21:01:52.0584320Z                     auto tmp0 = in_ptr0[1 + i1 + (10*i0)];
2023-01-11T21:01:52.0584425Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0584515Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0584621Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0584698Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0584790Z                     out_ptr1[i1 + (2*i0)] = tmp4;
2023-01-11T21:01:52.0584854Z                 }
2023-01-11T21:01:52.0584917Z             }
2023-01-11T21:01:52.0584977Z         }
2023-01-11T21:01:52.0585036Z     }
2023-01-11T21:01:52.0585097Z     #pragma GCC ivdep
2023-01-11T21:01:52.0585172Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0585232Z     {
2023-01-11T21:01:52.0585307Z         #pragma GCC ivdep
2023-01-11T21:01:52.0585388Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0585450Z         {
2023-01-11T21:01:52.0585514Z             {
2023-01-11T21:01:52.0585567Z                 {
2023-01-11T21:01:52.0585667Z                     auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2023-01-11T21:01:52.0585771Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0585860Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0585963Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0586053Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0586144Z                     out_ptr2[i1 + (3*i0)] = tmp4;
2023-01-11T21:01:52.0586195Z                 }
2023-01-11T21:01:52.0586258Z             }
2023-01-11T21:01:52.0586319Z         }
2023-01-11T21:01:52.0586379Z     }
2023-01-11T21:01:52.0586452Z     #pragma GCC ivdep
2023-01-11T21:01:52.0586529Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0586588Z     {
2023-01-11T21:01:52.0586650Z         #pragma GCC ivdep
2023-01-11T21:01:52.0586726Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0586787Z         {
2023-01-11T21:01:52.0586849Z             {
2023-01-11T21:01:52.0586945Z                 {
2023-01-11T21:01:52.0587046Z                     auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2023-01-11T21:01:52.0587135Z                     auto tmp1 = static_cast<float>(2.0);
2023-01-11T21:01:52.0587249Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0587354Z                     auto tmp3 = static_cast<float>(1.0);
2023-01-11T21:01:52.0587442Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0587532Z                     out_ptr3[i1 + (4*i0)] = tmp4;
2023-01-11T21:01:52.0587597Z                 }
2023-01-11T21:01:52.0587660Z             }
2023-01-11T21:01:52.0587710Z         }
2023-01-11T21:01:52.0587770Z     }
2023-01-11T21:01:52.0587830Z }
2023-01-11T21:01:52.0587908Z ''')
2023-01-11T21:01:52.0587914Z 
2023-01-11T21:01:52.0587918Z 
2023-01-11T21:01:52.0588005Z async_compile.wait(globals())
2023-01-11T21:01:52.0588076Z del async_compile
2023-01-11T21:01:52.0588080Z 
2023-01-11T21:01:52.0588150Z def call(args):
2023-01-11T21:01:52.0588221Z     arg0_1, = args
2023-01-11T21:01:52.0588279Z     args.clear()
2023-01-11T21:01:52.0588480Z     buf0 = empty_strided((2, 2, 1), (2, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0588682Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0588878Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0589074Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0589287Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.0589356Z     del arg0_1
2023-01-11T21:01:52.0589430Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:52.0589449Z 
2023-01-11T21:01:52.0589453Z 
2023-01-11T21:01:52.0589514Z if __name__ == "__main__":
2023-01-11T21:01:52.0589626Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0589751Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0589955Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0590061Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0590334Z [2023-01-11 20:58:56,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420
2023-01-11T21:01:52.0590339Z 
2023-01-11T21:01:52.0590403Z ok (4.754s)
2023-01-11T21:01:52.0590839Z   test_squeeze1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0590965Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0591210Z [2023-01-11 20:58:56,454] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421
2023-01-11T21:01:52.0591473Z [2023-01-11 20:58:57,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421
2023-01-11T21:01:52.0591478Z 
2023-01-11T21:01:52.0591572Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0591641Z import torch
2023-01-11T21:01:52.0591712Z import random
2023-01-11T21:01:52.0591826Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0591947Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0591952Z 
2023-01-11T21:01:52.0592029Z aten = torch.ops.aten
2023-01-11T21:01:52.0592148Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0592239Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0592244Z 
2023-01-11T21:01:52.0592248Z 
2023-01-11T21:01:52.0592380Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0592582Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0592733Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0592832Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0593035Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0593100Z {
2023-01-11T21:01:52.0593167Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.0593228Z     {
2023-01-11T21:01:52.0593365Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0593495Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0593581Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0593707Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0593788Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0593854Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:52.0593940Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0594025Z         tmp5.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0594088Z     }
2023-01-11T21:01:52.0594173Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0594251Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:52.0594311Z     {
2023-01-11T21:01:52.0594377Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0594472Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0594554Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0594648Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:52.0594727Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0594804Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:52.0594880Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.0594943Z         out_ptr1[i0] = tmp5;
2023-01-11T21:01:52.0595004Z     }
2023-01-11T21:01:52.0595062Z }
2023-01-11T21:01:52.0595145Z ''')
2023-01-11T21:01:52.0595150Z 
2023-01-11T21:01:52.0595154Z 
2023-01-11T21:01:52.0595244Z async_compile.wait(globals())
2023-01-11T21:01:52.0595316Z del async_compile
2023-01-11T21:01:52.0595320Z 
2023-01-11T21:01:52.0595392Z def call(args):
2023-01-11T21:01:52.0595447Z     arg0_1, = args
2023-01-11T21:01:52.0595516Z     args.clear()
2023-01-11T21:01:52.0595716Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0595914Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0596076Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0596145Z     del arg0_1
2023-01-11T21:01:52.0596221Z     return (buf0, buf1, )
2023-01-11T21:01:52.0596226Z 
2023-01-11T21:01:52.0596230Z 
2023-01-11T21:01:52.0596303Z if __name__ == "__main__":
2023-01-11T21:01:52.0596403Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0596525Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0596753Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0596858Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0596866Z 
2023-01-11T21:01:52.0596932Z ok (1.532s)
2023-01-11T21:01:52.0597367Z   test_squeeze2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0597490Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0597747Z [2023-01-11 20:58:57,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422
2023-01-11T21:01:52.0598007Z [2023-01-11 20:58:59,497] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422
2023-01-11T21:01:52.0598012Z 
2023-01-11T21:01:52.0598092Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0598161Z import torch
2023-01-11T21:01:52.0598265Z import random
2023-01-11T21:01:52.0598377Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0598499Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0598504Z 
2023-01-11T21:01:52.0598608Z aten = torch.ops.aten
2023-01-11T21:01:52.0598742Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0598819Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0598836Z 
2023-01-11T21:01:52.0598840Z 
2023-01-11T21:01:52.0598959Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0599161Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0599279Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0599378Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0599473Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0599535Z {
2023-01-11T21:01:52.0599614Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0599664Z     {
2023-01-11T21:01:52.0599794Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0599922Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0600008Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0600135Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0600214Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0600294Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:52.0600379Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0600450Z         tmp5.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0600510Z     }
2023-01-11T21:01:52.0600596Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0600674Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.0600733Z     {
2023-01-11T21:01:52.0600812Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0600894Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0600974Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0601071Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:52.0601153Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0601232Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:52.0601311Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.0601385Z         out_ptr1[i0] = tmp5;
2023-01-11T21:01:52.0601432Z     }
2023-01-11T21:01:52.0601497Z }
2023-01-11T21:01:52.0601575Z ''')
2023-01-11T21:01:52.0601580Z 
2023-01-11T21:01:52.0601584Z 
2023-01-11T21:01:52.0601671Z async_compile.wait(globals())
2023-01-11T21:01:52.0601741Z del async_compile
2023-01-11T21:01:52.0601746Z 
2023-01-11T21:01:52.0601815Z def call(args):
2023-01-11T21:01:52.0601884Z     arg0_1, = args
2023-01-11T21:01:52.0601954Z     args.clear()
2023-01-11T21:01:52.0602158Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0602380Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0602542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0602609Z     del arg0_1
2023-01-11T21:01:52.0602684Z     return (buf0, buf1, )
2023-01-11T21:01:52.0602690Z 
2023-01-11T21:01:52.0602697Z 
2023-01-11T21:01:52.0602770Z if __name__ == "__main__":
2023-01-11T21:01:52.0602883Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0603005Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0603221Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0603330Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0603335Z 
2023-01-11T21:01:52.0603548Z ok (1.541s)
2023-01-11T21:01:52.0604006Z   test_stack_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0604184Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0604498Z [2023-01-11 20:58:59,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423
2023-01-11T21:01:52.0604761Z [2023-01-11 20:59:01,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423
2023-01-11T21:01:52.0604767Z 
2023-01-11T21:01:52.0604860Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0604930Z import torch
2023-01-11T21:01:52.0604986Z import random
2023-01-11T21:01:52.0605102Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0605221Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0605226Z 
2023-01-11T21:01:52.0605303Z aten = torch.ops.aten
2023-01-11T21:01:52.0605435Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0605527Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0605532Z 
2023-01-11T21:01:52.0605536Z 
2023-01-11T21:01:52.0605666Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0605873Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0605979Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0606082Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0606181Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0606276Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0606335Z {
2023-01-11T21:01:52.0606410Z     #pragma GCC ivdep
2023-01-11T21:01:52.0606491Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.0606538Z     {
2023-01-11T21:01:52.0606618Z         #pragma GCC ivdep
2023-01-11T21:01:52.0606699Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:52.0606761Z         {
2023-01-11T21:01:52.0606827Z             {
2023-01-11T21:01:52.0606892Z                 {
2023-01-11T21:01:52.0606982Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.0607067Z                     out_ptr0[(2*i1) + (32*i0)] = tmp0;
2023-01-11T21:01:52.0607131Z                 }
2023-01-11T21:01:52.0607194Z             }
2023-01-11T21:01:52.0607256Z         }
2023-01-11T21:01:52.0607317Z     }
2023-01-11T21:01:52.0607391Z     #pragma GCC ivdep
2023-01-11T21:01:52.0607457Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.0607518Z     {
2023-01-11T21:01:52.0607594Z         #pragma GCC ivdep
2023-01-11T21:01:52.0607674Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:52.0607736Z         {
2023-01-11T21:01:52.0607800Z             {
2023-01-11T21:01:52.0607864Z                 {
2023-01-11T21:01:52.0607942Z                     auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0608036Z                     out_ptr1[(2*i1) + (32*i0)] = tmp0;
2023-01-11T21:01:52.0608100Z                 }
2023-01-11T21:01:52.0608166Z             }
2023-01-11T21:01:52.0608228Z         }
2023-01-11T21:01:52.0608290Z     }
2023-01-11T21:01:52.0608336Z }
2023-01-11T21:01:52.0608414Z ''')
2023-01-11T21:01:52.0608419Z 
2023-01-11T21:01:52.0608423Z 
2023-01-11T21:01:52.0608513Z async_compile.wait(globals())
2023-01-11T21:01:52.0608584Z del async_compile
2023-01-11T21:01:52.0608589Z 
2023-01-11T21:01:52.0608660Z def call(args):
2023-01-11T21:01:52.0608734Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0608805Z     args.clear()
2023-01-11T21:01:52.0609012Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0609105Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2023-01-11T21:01:52.0609212Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2023-01-11T21:01:52.0609401Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0609469Z     del arg0_1
2023-01-11T21:01:52.0609567Z     del arg1_1
2023-01-11T21:01:52.0609639Z     return (buf2, )
2023-01-11T21:01:52.0609644Z 
2023-01-11T21:01:52.0609648Z 
2023-01-11T21:01:52.0609722Z if __name__ == "__main__":
2023-01-11T21:01:52.0609864Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0609975Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0610175Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0610371Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0610485Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0610490Z 
2023-01-11T21:01:52.0610554Z ok (1.560s)
2023-01-11T21:01:52.0610990Z   test_std_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0611119Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0611380Z [2023-01-11 20:59:01,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424
2023-01-11T21:01:52.0611385Z 
2023-01-11T21:01:52.0611480Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0611536Z import torch
2023-01-11T21:01:52.0611604Z import random
2023-01-11T21:01:52.0611716Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0611835Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0611840Z 
2023-01-11T21:01:52.0611919Z aten = torch.ops.aten
2023-01-11T21:01:52.0612049Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0612138Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0612143Z 
2023-01-11T21:01:52.0612147Z 
2023-01-11T21:01:52.0612278Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0612470Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0612586Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0612691Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:52.0612791Z                        float* __restrict__ in_out_ptr2,
2023-01-11T21:01:52.0612889Z                        float* __restrict__ in_out_ptr3,
2023-01-11T21:01:52.0612985Z                        float* __restrict__ in_out_ptr4,
2023-01-11T21:01:52.0613080Z                        float* __restrict__ in_out_ptr5,
2023-01-11T21:01:52.0613165Z                        float* __restrict__ in_out_ptr6,
2023-01-11T21:01:52.0613270Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0613368Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0613463Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0613558Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:52.0613652Z                        float* __restrict__ out_ptr5,
2023-01-11T21:01:52.0613744Z                        float* __restrict__ out_ptr7,
2023-01-11T21:01:52.0613845Z                        float* __restrict__ out_ptr10,
2023-01-11T21:01:52.0613929Z                        float* __restrict__ out_ptr12,
2023-01-11T21:01:52.0614023Z                        float* __restrict__ out_ptr14)
2023-01-11T21:01:52.0614086Z {
2023-01-11T21:01:52.0614172Z     auto out_ptr6 = in_out_ptr0;
2023-01-11T21:01:52.0614255Z     auto out_ptr8 = in_out_ptr1;
2023-01-11T21:01:52.0614338Z     auto out_ptr11 = in_out_ptr2;
2023-01-11T21:01:52.0614419Z     auto out_ptr13 = in_out_ptr3;
2023-01-11T21:01:52.0614487Z     auto out_ptr1 = in_out_ptr4;
2023-01-11T21:01:52.0614567Z     auto out_ptr3 = in_out_ptr5;
2023-01-11T21:01:52.0614648Z     auto out_ptr9 = in_out_ptr6;
2023-01-11T21:01:52.0614708Z     {
2023-01-11T21:01:52.0614897Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0614999Z         float tmp1 = 0;
2023-01-11T21:01:52.0615114Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0615210Z         for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0615274Z         {
2023-01-11T21:01:52.0615408Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0615485Z             tmp1_vec += tmp0;
2023-01-11T21:01:52.0615547Z         }
2023-01-11T21:01:52.0615739Z         tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.0615854Z         #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.0615935Z         for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0615985Z         {
2023-01-11T21:01:52.0616069Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0616145Z             tmp1 += tmp0;
2023-01-11T21:01:52.0616207Z         }
2023-01-11T21:01:52.0616280Z         out_ptr0[0] = tmp1;
2023-01-11T21:01:52.0616341Z     }
2023-01-11T21:01:52.0616388Z     {
2023-01-11T21:01:52.0616573Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0616647Z         float tmp6 = 0;
2023-01-11T21:01:52.0616761Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0616834Z         float tmp7 = 0;
2023-01-11T21:01:52.0616946Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:52.0617026Z         for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0617085Z         {
2023-01-11T21:01:52.0617202Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0617323Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr0[0]);
2023-01-11T21:01:52.0617456Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2023-01-11T21:01:52.0617537Z             auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0617660Z             auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0617743Z             auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0617818Z             tmp6_vec += tmp5;
2023-01-11T21:01:52.0617883Z             tmp7_vec += tmp0;
2023-01-11T21:01:52.0617943Z         }
2023-01-11T21:01:52.0618133Z         tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0618322Z         tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:52.0618458Z         #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:52.0618541Z         for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0618603Z         {
2023-01-11T21:01:52.0618685Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0618753Z             auto tmp1 = out_ptr0[0];
2023-01-11T21:01:52.0618851Z             auto tmp2 = static_cast<float>(256);
2023-01-11T21:01:52.0618936Z             auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0619057Z             auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0619134Z             auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0619208Z             tmp6 += tmp5;
2023-01-11T21:01:52.0619277Z             tmp7 += tmp0;
2023-01-11T21:01:52.0619325Z         }
2023-01-11T21:01:52.0619397Z         out_ptr1[0] = tmp6;
2023-01-11T21:01:52.0619473Z         out_ptr2[0] = tmp7;
2023-01-11T21:01:52.0619534Z     }
2023-01-11T21:01:52.0619593Z     {
2023-01-11T21:01:52.0619777Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0619850Z         float tmp6 = 0;
2023-01-11T21:01:52.0619954Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0620026Z         float tmp7 = 0;
2023-01-11T21:01:52.0620136Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:52.0620246Z         for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0620308Z         {
2023-01-11T21:01:52.0620439Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0620585Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr2[0]);
2023-01-11T21:01:52.0620720Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2023-01-11T21:01:52.0620789Z             auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0620909Z             auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0620988Z             auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0621062Z             tmp6_vec += tmp5;
2023-01-11T21:01:52.0621137Z             tmp7_vec += tmp0;
2023-01-11T21:01:52.0621196Z         }
2023-01-11T21:01:52.0621388Z         tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0621571Z         tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:52.0621697Z         #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:52.0621778Z         for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0621841Z         {
2023-01-11T21:01:52.0621923Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0622003Z             auto tmp1 = out_ptr2[0];
2023-01-11T21:01:52.0622102Z             auto tmp2 = static_cast<float>(256);
2023-01-11T21:01:52.0622184Z             auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0622291Z             auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0622368Z             auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0622438Z             tmp6 += tmp5;
2023-01-11T21:01:52.0622508Z             tmp7 += tmp0;
2023-01-11T21:01:52.0622567Z         }
2023-01-11T21:01:52.0622642Z         out_ptr3[0] = tmp6;
2023-01-11T21:01:52.0622712Z         out_ptr4[0] = tmp7;
2023-01-11T21:01:52.0622760Z     }
2023-01-11T21:01:52.0622832Z     #pragma GCC ivdep
2023-01-11T21:01:52.0622915Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0622974Z     {
2023-01-11T21:01:52.0623034Z         {
2023-01-11T21:01:52.0623218Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0623292Z             float tmp1 = 0;
2023-01-11T21:01:52.0623396Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0623479Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0623542Z             {
2023-01-11T21:01:52.0623680Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0623758Z                 tmp1_vec += tmp0;
2023-01-11T21:01:52.0623819Z             }
2023-01-11T21:01:52.0624010Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.0624128Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.0624200Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0624263Z             {
2023-01-11T21:01:52.0624356Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0624427Z                 tmp1 += tmp0;
2023-01-11T21:01:52.0624489Z             }
2023-01-11T21:01:52.0624563Z             out_ptr5[i0] = tmp1;
2023-01-11T21:01:52.0624623Z         }
2023-01-11T21:01:52.0624671Z     }
2023-01-11T21:01:52.0624743Z     #pragma GCC ivdep
2023-01-11T21:01:52.0624820Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0624878Z     {
2023-01-11T21:01:52.0624937Z         {
2023-01-11T21:01:52.0625119Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0625193Z             float tmp6 = 0;
2023-01-11T21:01:52.0625298Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0625371Z             float tmp7 = 0;
2023-01-11T21:01:52.0625485Z             auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:52.0625636Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0625696Z             {
2023-01-11T21:01:52.0625833Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0625985Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr5[i0]);
2023-01-11T21:01:52.0626119Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:52.0626194Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0626324Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0626409Z                 auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0626489Z                 tmp6_vec += tmp5;
2023-01-11T21:01:52.0626568Z                 tmp7_vec += tmp0;
2023-01-11T21:01:52.0626629Z             }
2023-01-11T21:01:52.0626820Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0627012Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:52.0627137Z             #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:52.0627220Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0627281Z             {
2023-01-11T21:01:52.0627376Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0627465Z                 auto tmp1 = out_ptr5[i0];
2023-01-11T21:01:52.0627566Z                 auto tmp2 = static_cast<float>(8);
2023-01-11T21:01:52.0627649Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0627764Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0627845Z                 auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0627918Z                 tmp6 += tmp5;
2023-01-11T21:01:52.0627991Z                 tmp7 += tmp0;
2023-01-11T21:01:52.0628054Z             }
2023-01-11T21:01:52.0628132Z             out_ptr6[i0] = tmp6;
2023-01-11T21:01:52.0628214Z             out_ptr7[i0] = tmp7;
2023-01-11T21:01:52.0628263Z         }
2023-01-11T21:01:52.0628325Z     }
2023-01-11T21:01:52.0628402Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0628463Z     {
2023-01-11T21:01:52.0628596Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr6 + 8*i0);
2023-01-11T21:01:52.0628727Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2023-01-11T21:01:52.0628808Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0628884Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0628945Z     }
2023-01-11T21:01:52.0629030Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0629107Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:52.0629167Z     {
2023-01-11T21:01:52.0629246Z         auto tmp0 = out_ptr6[i0];
2023-01-11T21:01:52.0629328Z         auto tmp1 = static_cast<float>(7);
2023-01-11T21:01:52.0629407Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0629482Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0629543Z     }
2023-01-11T21:01:52.0629621Z     #pragma GCC ivdep
2023-01-11T21:01:52.0629696Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0629755Z     {
2023-01-11T21:01:52.0629807Z         {
2023-01-11T21:01:52.0629993Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0630068Z             float tmp6 = 0;
2023-01-11T21:01:52.0630187Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0630268Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0630332Z             {
2023-01-11T21:01:52.0630467Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0630590Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr7[i0]);
2023-01-11T21:01:52.0630709Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:52.0630798Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0630957Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0631042Z                 auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0631120Z                 tmp6_vec += tmp5;
2023-01-11T21:01:52.0631182Z             }
2023-01-11T21:01:52.0631402Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0631517Z             #pragma omp simd simdlen(4)  reduction(+:tmp6)
2023-01-11T21:01:52.0631585Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0631646Z             {
2023-01-11T21:01:52.0631739Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0631827Z                 auto tmp1 = out_ptr7[i0];
2023-01-11T21:01:52.0631926Z                 auto tmp2 = static_cast<float>(8);
2023-01-11T21:01:52.0632013Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0632138Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0632212Z                 auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0632286Z                 tmp6 += tmp5;
2023-01-11T21:01:52.0632349Z             }
2023-01-11T21:01:52.0632426Z             out_ptr8[i0] = tmp6;
2023-01-11T21:01:52.0632489Z         }
2023-01-11T21:01:52.0632551Z     }
2023-01-11T21:01:52.0632629Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0632677Z     {
2023-01-11T21:01:52.0632808Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr8 + 8*i0);
2023-01-11T21:01:52.0633012Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:52.0633098Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0633187Z         tmp2.store(in_out_ptr1 + 8*i0);
2023-01-11T21:01:52.0633250Z     }
2023-01-11T21:01:52.0633335Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0633400Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:52.0633459Z     {
2023-01-11T21:01:52.0633539Z         auto tmp0 = out_ptr8[i0];
2023-01-11T21:01:52.0633632Z         auto tmp1 = static_cast<float>(8);
2023-01-11T21:01:52.0633713Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0633789Z         in_out_ptr1[i0] = tmp2;
2023-01-11T21:01:52.0633836Z     }
2023-01-11T21:01:52.0633897Z     {
2023-01-11T21:01:52.0634080Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0634154Z         float tmp6 = 0;
2023-01-11T21:01:52.0634266Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0634345Z         for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0634405Z         {
2023-01-11T21:01:52.0634536Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0634643Z             auto tmp1 = at::vec::Vectorized<float>(out_ptr4[0]);
2023-01-11T21:01:52.0634776Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2023-01-11T21:01:52.0634860Z             auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0634983Z             auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0635066Z             auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0635140Z             tmp6_vec += tmp5;
2023-01-11T21:01:52.0635201Z         }
2023-01-11T21:01:52.0635395Z         tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0635496Z         #pragma omp simd simdlen(4)  reduction(+:tmp6)
2023-01-11T21:01:52.0635579Z         for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0635640Z         {
2023-01-11T21:01:52.0635721Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0635798Z             auto tmp1 = out_ptr4[0];
2023-01-11T21:01:52.0635897Z             auto tmp2 = static_cast<float>(256);
2023-01-11T21:01:52.0635981Z             auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0636087Z             auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0636168Z             auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0636238Z             tmp6 += tmp5;
2023-01-11T21:01:52.0636331Z         }
2023-01-11T21:01:52.0636405Z         out_ptr9[0] = tmp6;
2023-01-11T21:01:52.0636466Z     }
2023-01-11T21:01:52.0636529Z     #pragma GCC ivdep
2023-01-11T21:01:52.0636607Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0636667Z     {
2023-01-11T21:01:52.0636763Z         {
2023-01-11T21:01:52.0636828Z             {
2023-01-11T21:01:52.0636904Z                 float tmp1 = 0;
2023-01-11T21:01:52.0636992Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0637044Z                 {
2023-01-11T21:01:52.0637111Z                     {
2023-01-11T21:01:52.0637212Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:52.0637291Z                         tmp1 += tmp0;
2023-01-11T21:01:52.0637356Z                     }
2023-01-11T21:01:52.0637421Z                 }
2023-01-11T21:01:52.0637503Z                 out_ptr10[i0] = tmp1;
2023-01-11T21:01:52.0637553Z             }
2023-01-11T21:01:52.0637613Z         }
2023-01-11T21:01:52.0637672Z     }
2023-01-11T21:01:52.0637748Z     #pragma GCC ivdep
2023-01-11T21:01:52.0637826Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0637887Z     {
2023-01-11T21:01:52.0637935Z         {
2023-01-11T21:01:52.0637999Z             {
2023-01-11T21:01:52.0638076Z                 float tmp6 = 0;
2023-01-11T21:01:52.0638152Z                 float tmp7 = 0;
2023-01-11T21:01:52.0638237Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0638300Z                 {
2023-01-11T21:01:52.0638364Z                     {
2023-01-11T21:01:52.0638453Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:52.0638548Z                         auto tmp1 = out_ptr10[i0];
2023-01-11T21:01:52.0638650Z                         auto tmp2 = static_cast<float>(8);
2023-01-11T21:01:52.0638742Z                         auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0638881Z                         auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0638972Z                         auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0639053Z                         tmp6 += tmp5;
2023-01-11T21:01:52.0639116Z                         tmp7 += tmp0;
2023-01-11T21:01:52.0639179Z                     }
2023-01-11T21:01:52.0639241Z                 }
2023-01-11T21:01:52.0639322Z                 out_ptr11[i0] = tmp6;
2023-01-11T21:01:52.0639400Z                 out_ptr12[i0] = tmp7;
2023-01-11T21:01:52.0639461Z             }
2023-01-11T21:01:52.0639521Z         }
2023-01-11T21:01:52.0639569Z     }
2023-01-11T21:01:52.0639644Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0639702Z     {
2023-01-11T21:01:52.0639834Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr11 + 8*i0);
2023-01-11T21:01:52.0639962Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2023-01-11T21:01:52.0640043Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0640126Z         auto tmp3 = tmp2.sqrt();
2023-01-11T21:01:52.0640202Z         tmp3.store(in_out_ptr2 + 8*i0);
2023-01-11T21:01:52.0640263Z     }
2023-01-11T21:01:52.0640349Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0640430Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:52.0640486Z     {
2023-01-11T21:01:52.0640567Z         auto tmp0 = out_ptr11[i0];
2023-01-11T21:01:52.0640661Z         auto tmp1 = static_cast<float>(7);
2023-01-11T21:01:52.0640730Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0640816Z         auto tmp3 = std::sqrt(tmp2);
2023-01-11T21:01:52.0640893Z         in_out_ptr2[i0] = tmp3;
2023-01-11T21:01:52.0640953Z     }
2023-01-11T21:01:52.0641027Z     #pragma GCC ivdep
2023-01-11T21:01:52.0641103Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0641161Z     {
2023-01-11T21:01:52.0641211Z         {
2023-01-11T21:01:52.0641272Z             {
2023-01-11T21:01:52.0641344Z                 float tmp6 = 0;
2023-01-11T21:01:52.0641428Z                 for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0641490Z                 {
2023-01-11T21:01:52.0641554Z                     {
2023-01-11T21:01:52.0641640Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:52.0641764Z                         auto tmp1 = out_ptr12[i0];
2023-01-11T21:01:52.0641867Z                         auto tmp2 = static_cast<float>(8);
2023-01-11T21:01:52.0641955Z                         auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0642129Z                         auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0642222Z                         auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0642302Z                         tmp6 += tmp5;
2023-01-11T21:01:52.0642364Z                     }
2023-01-11T21:01:52.0642416Z                 }
2023-01-11T21:01:52.0642495Z                 out_ptr13[i0] = tmp6;
2023-01-11T21:01:52.0642556Z             }
2023-01-11T21:01:52.0642614Z         }
2023-01-11T21:01:52.0642673Z     }
2023-01-11T21:01:52.0642748Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0642795Z     {
2023-01-11T21:01:52.0642925Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr13 + 8*i0);
2023-01-11T21:01:52.0643055Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:52.0643137Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0643216Z         auto tmp3 = tmp2.sqrt();
2023-01-11T21:01:52.0643306Z         tmp3.store(in_out_ptr3 + 8*i0);
2023-01-11T21:01:52.0643490Z     }
2023-01-11T21:01:52.0643609Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0643687Z     for(long i0=32; i0<32; i0+=1)
2023-01-11T21:01:52.0643743Z     {
2023-01-11T21:01:52.0643823Z         auto tmp0 = out_ptr13[i0];
2023-01-11T21:01:52.0643912Z         auto tmp1 = static_cast<float>(8);
2023-01-11T21:01:52.0643990Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0644075Z         auto tmp3 = std::sqrt(tmp2);
2023-01-11T21:01:52.0644139Z         in_out_ptr3[i0] = tmp3;
2023-01-11T21:01:52.0644199Z     }
2023-01-11T21:01:52.0644274Z     #pragma GCC ivdep
2023-01-11T21:01:52.0644390Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0644472Z     {
2023-01-11T21:01:52.0644612Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0644726Z         {
2023-01-11T21:01:52.0644965Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0645210Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0645382Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0645523Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2023-01-11T21:01:52.0645604Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0645685Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0645762Z             auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:52.0645894Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2023-01-11T21:01:52.0645964Z             auto tmp8 = tmp6 / tmp7;
2023-01-11T21:01:52.0646143Z             auto tmp9 = tmp0 - tmp8;
2023-01-11T21:01:52.0646236Z             auto tmp10 = tmp9.pow(2);
2023-01-11T21:01:52.0646347Z             auto tmp11 = tmp1 - tmp8;
2023-01-11T21:01:52.0646436Z             auto tmp12 = tmp11.pow(2);
2023-01-11T21:01:52.0646522Z             auto tmp13 = tmp10 + tmp12;
2023-01-11T21:01:52.0646642Z             auto tmp14 = tmp3 - tmp8;
2023-01-11T21:01:52.0646733Z             auto tmp15 = tmp14.pow(2);
2023-01-11T21:01:52.0646806Z             auto tmp16 = tmp13 + tmp15;
2023-01-11T21:01:52.0646925Z             auto tmp17 = tmp5 - tmp8;
2023-01-11T21:01:52.0647005Z             auto tmp18 = tmp17.pow(2);
2023-01-11T21:01:52.0647084Z             auto tmp19 = tmp16 + tmp18;
2023-01-11T21:01:52.0647215Z             auto tmp20 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:52.0647297Z             auto tmp21 = tmp19 / tmp20;
2023-01-11T21:01:52.0647376Z             auto tmp22 = tmp21.sqrt();
2023-01-11T21:01:52.0647478Z             tmp22.store(out_ptr14 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0647527Z         }
2023-01-11T21:01:52.0647614Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0647755Z         for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0647815Z         {
2023-01-11T21:01:52.0647908Z             auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:52.0648001Z             auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2023-01-11T21:01:52.0648127Z             auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2023-01-11T21:01:52.0648209Z             auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2023-01-11T21:01:52.0648289Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0648368Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0648446Z             auto tmp6 = tmp4 + tmp5;
2023-01-11T21:01:52.0648541Z             auto tmp7 = static_cast<float>(4);
2023-01-11T21:01:52.0648622Z             auto tmp8 = tmp6 / tmp7;
2023-01-11T21:01:52.0648739Z             auto tmp9 = tmp0 - tmp8;
2023-01-11T21:01:52.0648810Z             auto tmp10 = tmp9 * tmp9;
2023-01-11T21:01:52.0648927Z             auto tmp11 = tmp1 - tmp8;
2023-01-11T21:01:52.0649006Z             auto tmp12 = tmp11 * tmp11;
2023-01-11T21:01:52.0649090Z             auto tmp13 = tmp10 + tmp12;
2023-01-11T21:01:52.0649207Z             auto tmp14 = tmp3 - tmp8;
2023-01-11T21:01:52.0649287Z             auto tmp15 = tmp14 * tmp14;
2023-01-11T21:01:52.0649365Z             auto tmp16 = tmp13 + tmp15;
2023-01-11T21:01:52.0649475Z             auto tmp17 = tmp5 - tmp8;
2023-01-11T21:01:52.0649555Z             auto tmp18 = tmp17 * tmp17;
2023-01-11T21:01:52.0649635Z             auto tmp19 = tmp16 + tmp18;
2023-01-11T21:01:52.0649733Z             auto tmp20 = static_cast<float>(3);
2023-01-11T21:01:52.0649812Z             auto tmp21 = tmp19 / tmp20;
2023-01-11T21:01:52.0649903Z             auto tmp22 = std::sqrt(tmp21);
2023-01-11T21:01:52.0649991Z             out_ptr14[i1 + (8*i0)] = tmp22;
2023-01-11T21:01:52.0650039Z         }
2023-01-11T21:01:52.0650095Z     }
2023-01-11T21:01:52.0650152Z     {
2023-01-11T21:01:52.0650212Z         {
2023-01-11T21:01:52.0650293Z             auto tmp0 = out_ptr1[0];
2023-01-11T21:01:52.0650390Z             auto tmp1 = static_cast<float>(255);
2023-01-11T21:01:52.0650460Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0650538Z             in_out_ptr4[0] = tmp2;
2023-01-11T21:01:52.0650594Z         }
2023-01-11T21:01:52.0650652Z     }
2023-01-11T21:01:52.0650710Z     {
2023-01-11T21:01:52.0650771Z         {
2023-01-11T21:01:52.0650850Z             auto tmp0 = out_ptr3[0];
2023-01-11T21:01:52.0650937Z             auto tmp1 = static_cast<float>(256);
2023-01-11T21:01:52.0651016Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0651092Z             in_out_ptr5[0] = tmp2;
2023-01-11T21:01:52.0651152Z         }
2023-01-11T21:01:52.0651210Z     }
2023-01-11T21:01:52.0651266Z     {
2023-01-11T21:01:52.0651314Z         {
2023-01-11T21:01:52.0651394Z             auto tmp0 = out_ptr9[0];
2023-01-11T21:01:52.0651489Z             auto tmp1 = static_cast<float>(256);
2023-01-11T21:01:52.0651568Z             auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0651654Z             auto tmp3 = std::sqrt(tmp2);
2023-01-11T21:01:52.0651732Z             in_out_ptr6[0] = tmp3;
2023-01-11T21:01:52.0651789Z         }
2023-01-11T21:01:52.0651836Z     }
2023-01-11T21:01:52.0651892Z }
2023-01-11T21:01:52.0651964Z ''')
2023-01-11T21:01:52.0651971Z 
2023-01-11T21:01:52.0651975Z 
2023-01-11T21:01:52.0652065Z async_compile.wait(globals())
2023-01-11T21:01:52.0652136Z del async_compile
2023-01-11T21:01:52.0652141Z 
2023-01-11T21:01:52.0652208Z def call(args):
2023-01-11T21:01:52.0652274Z     arg0_1, = args
2023-01-11T21:01:52.0652342Z     args.clear()
2023-01-11T21:01:52.0652540Z     buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0652720Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0652922Z     buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0653099Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0653302Z     buf10 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0653539Z     buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0653733Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0653963Z     buf7 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0654036Z     buf6 = buf5; del buf5  # reuse
2023-01-11T21:01:52.0654231Z     buf8 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0654311Z     buf9 = buf8; del buf8  # reuse
2023-01-11T21:01:52.0654490Z     buf11 = empty_strided((), (), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0654693Z     buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0654880Z     buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0655081Z     buf15 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0655156Z     buf14 = buf13; del buf13  # reuse
2023-01-11T21:01:52.0655341Z     buf16 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0655425Z     buf17 = buf16; del buf16  # reuse
2023-01-11T21:01:52.0655629Z     buf18 = empty_strided((2, 4, 1, 8), (32, 8, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0655710Z     buf19 = buf1; del buf1  # reuse
2023-01-11T21:01:52.0655791Z     buf20 = buf3; del buf3  # reuse
2023-01-11T21:01:52.0655873Z     buf21 = buf11; del buf11  # reuse
2023-01-11T21:01:52.0656336Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(buf21.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf18.data_ptr()))
2023-01-11T21:01:52.0656404Z     del arg0_1
2023-01-11T21:01:52.0656511Z     return (buf19, buf20, buf6, buf9, buf21, buf14, buf17, buf18, )
2023-01-11T21:01:52.0656517Z 
2023-01-11T21:01:52.0656532Z 
2023-01-11T21:01:52.0656596Z if __name__ == "__main__":
2023-01-11T21:01:52.0656708Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0656829Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0657039Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0657142Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0657406Z [2023-01-11 20:59:02,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424
2023-01-11T21:01:52.0657411Z 
2023-01-11T21:01:52.0657473Z ok (1.839s)
2023-01-11T21:01:52.0657805Z   test_strided_inputs_cpu (__main__.CpuTests) ... [2023-01-11 20:59:02,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425
2023-01-11T21:01:52.0658060Z [2023-01-11 20:59:04,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425
2023-01-11T21:01:52.0658065Z 
2023-01-11T21:01:52.0658158Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0658224Z import torch
2023-01-11T21:01:52.0658290Z import random
2023-01-11T21:01:52.0658403Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0658522Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0658528Z 
2023-01-11T21:01:52.0658604Z aten = torch.ops.aten
2023-01-11T21:01:52.0658734Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0658812Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0658817Z 
2023-01-11T21:01:52.0658821Z 
2023-01-11T21:01:52.0658952Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0659153Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0659300Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0659401Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0659523Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0659585Z {
2023-01-11T21:01:52.0659649Z     #pragma GCC ivdep
2023-01-11T21:01:52.0659728Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:52.0659785Z     {
2023-01-11T21:01:52.0659845Z         {
2023-01-11T21:01:52.0659907Z             {
2023-01-11T21:01:52.0659993Z                 auto tmp0 = in_ptr0[2*i0];
2023-01-11T21:01:52.0660077Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.0660150Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0660231Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0660291Z             }
2023-01-11T21:01:52.0660353Z         }
2023-01-11T21:01:52.0660411Z     }
2023-01-11T21:01:52.0660467Z }
2023-01-11T21:01:52.0660541Z ''')
2023-01-11T21:01:52.0660549Z 
2023-01-11T21:01:52.0660553Z 
2023-01-11T21:01:52.0660627Z async_compile.wait(globals())
2023-01-11T21:01:52.0660697Z del async_compile
2023-01-11T21:01:52.0660702Z 
2023-01-11T21:01:52.0660768Z def call(args):
2023-01-11T21:01:52.0660840Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0660910Z     args.clear()
2023-01-11T21:01:52.0661104Z     buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0661264Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0661317Z     del arg0_1
2023-01-11T21:01:52.0661382Z     del arg1_1
2023-01-11T21:01:52.0661451Z     return (buf0, )
2023-01-11T21:01:52.0661456Z 
2023-01-11T21:01:52.0661460Z 
2023-01-11T21:01:52.0661531Z if __name__ == "__main__":
2023-01-11T21:01:52.0661641Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0661759Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0661953Z     arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0662148Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0662249Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0662267Z 
2023-01-11T21:01:52.0662320Z ok (1.526s)
2023-01-11T21:01:52.0662752Z   test_sum1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0662876Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0663130Z [2023-01-11 20:59:04,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426
2023-01-11T21:01:52.0663390Z [2023-01-11 20:59:05,949] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426
2023-01-11T21:01:52.0663397Z 
2023-01-11T21:01:52.0663489Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0663557Z import torch
2023-01-11T21:01:52.0663624Z import random
2023-01-11T21:01:52.0663728Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0663847Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0663852Z 
2023-01-11T21:01:52.0663927Z aten = torch.ops.aten
2023-01-11T21:01:52.0664056Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0664145Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0664149Z 
2023-01-11T21:01:52.0664154Z 
2023-01-11T21:01:52.0664281Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0664483Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0664600Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0664690Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0664823Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0664883Z {
2023-01-11T21:01:52.0664957Z     #pragma GCC ivdep
2023-01-11T21:01:52.0665032Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0665117Z     {
2023-01-11T21:01:52.0665178Z         {
2023-01-11T21:01:52.0665353Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0665427Z             float tmp3 = 0;
2023-01-11T21:01:52.0665540Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0665618Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0665679Z             {
2023-01-11T21:01:52.0665820Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0665957Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0666041Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0666109Z                 tmp3_vec += tmp2;
2023-01-11T21:01:52.0666171Z             }
2023-01-11T21:01:52.0666361Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:52.0666475Z             #pragma omp simd simdlen(4)  reduction(+:tmp3)
2023-01-11T21:01:52.0666553Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0666611Z             {
2023-01-11T21:01:52.0666704Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0666794Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:52.0666870Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0666941Z                 tmp3 += tmp2;
2023-01-11T21:01:52.0666998Z             }
2023-01-11T21:01:52.0667075Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0667135Z         }
2023-01-11T21:01:52.0667197Z     }
2023-01-11T21:01:52.0667243Z }
2023-01-11T21:01:52.0667319Z ''')
2023-01-11T21:01:52.0667324Z 
2023-01-11T21:01:52.0667329Z 
2023-01-11T21:01:52.0667414Z async_compile.wait(globals())
2023-01-11T21:01:52.0667485Z del async_compile
2023-01-11T21:01:52.0667490Z 
2023-01-11T21:01:52.0667558Z def call(args):
2023-01-11T21:01:52.0667633Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0667700Z     args.clear()
2023-01-11T21:01:52.0667894Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0668042Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0668108Z     del arg0_1
2023-01-11T21:01:52.0668170Z     del arg1_1
2023-01-11T21:01:52.0668240Z     return (buf0, )
2023-01-11T21:01:52.0668245Z 
2023-01-11T21:01:52.0668249Z 
2023-01-11T21:01:52.0668322Z if __name__ == "__main__":
2023-01-11T21:01:52.0668436Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0668553Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0668748Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0668929Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0669043Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0669048Z 
2023-01-11T21:01:52.0669112Z ok (1.526s)
2023-01-11T21:01:52.0669542Z   test_sum2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0669666Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0669923Z [2023-01-11 20:59:05,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427
2023-01-11T21:01:52.0670184Z [2023-01-11 20:59:07,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427
2023-01-11T21:01:52.0670218Z 
2023-01-11T21:01:52.0670311Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0670379Z import torch
2023-01-11T21:01:52.0670473Z import random
2023-01-11T21:01:52.0670586Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0670704Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0670709Z 
2023-01-11T21:01:52.0670786Z aten = torch.ops.aten
2023-01-11T21:01:52.0670918Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0671008Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0671013Z 
2023-01-11T21:01:52.0671018Z 
2023-01-11T21:01:52.0671147Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0671349Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0671454Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0671559Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0671653Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0671747Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0671809Z {
2023-01-11T21:01:52.0671884Z     #pragma GCC ivdep
2023-01-11T21:01:52.0671962Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0672009Z     {
2023-01-11T21:01:52.0672085Z         #pragma GCC ivdep
2023-01-11T21:01:52.0672165Z         for(long i1=0; i1<21; i1+=1)
2023-01-11T21:01:52.0672226Z         {
2023-01-11T21:01:52.0672286Z             {
2023-01-11T21:01:52.0672350Z                 {
2023-01-11T21:01:52.0672427Z                     float tmp3 = 0;
2023-01-11T21:01:52.0672504Z                     for(long i2=0; i2<27; i2+=1)
2023-01-11T21:01:52.0672564Z                     {
2023-01-11T21:01:52.0672630Z                         {
2023-01-11T21:01:52.0672737Z                             auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)];
2023-01-11T21:01:52.0672846Z                             auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)];
2023-01-11T21:01:52.0673033Z                             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0673117Z                             tmp3 += tmp2;
2023-01-11T21:01:52.0673174Z                         }
2023-01-11T21:01:52.0673241Z                     }
2023-01-11T21:01:52.0673330Z                     out_ptr0[i1 + (21*i0)] = tmp3;
2023-01-11T21:01:52.0673393Z                 }
2023-01-11T21:01:52.0673454Z             }
2023-01-11T21:01:52.0673514Z         }
2023-01-11T21:01:52.0673561Z     }
2023-01-11T21:01:52.0673634Z     #pragma GCC ivdep
2023-01-11T21:01:52.0673713Z     for(long i0=0; i0<216; i0+=1)
2023-01-11T21:01:52.0673772Z     {
2023-01-11T21:01:52.0673833Z         {
2023-01-11T21:01:52.0674022Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0674097Z             float tmp3 = 0;
2023-01-11T21:01:52.0674216Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0674285Z             for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:52.0674346Z             {
2023-01-11T21:01:52.0674483Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (21*i0));
2023-01-11T21:01:52.0674618Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (21*i0));
2023-01-11T21:01:52.0674705Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0674781Z                 tmp3_vec += tmp2;
2023-01-11T21:01:52.0674842Z             }
2023-01-11T21:01:52.0675033Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:52.0675138Z             #pragma omp simd simdlen(4)  reduction(+:tmp3)
2023-01-11T21:01:52.0675223Z             for(long i1=16; i1<21; i1+=1)
2023-01-11T21:01:52.0675283Z             {
2023-01-11T21:01:52.0675375Z                 auto tmp0 = in_ptr0[i1 + (21*i0)];
2023-01-11T21:01:52.0675504Z                 auto tmp1 = in_ptr1[i1 + (21*i0)];
2023-01-11T21:01:52.0675588Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0675661Z                 tmp3 += tmp2;
2023-01-11T21:01:52.0675737Z             }
2023-01-11T21:01:52.0675817Z             out_ptr1[i0] = tmp3;
2023-01-11T21:01:52.0675879Z         }
2023-01-11T21:01:52.0675938Z     }
2023-01-11T21:01:52.0675996Z }
2023-01-11T21:01:52.0676081Z ''')
2023-01-11T21:01:52.0676087Z 
2023-01-11T21:01:52.0676092Z 
2023-01-11T21:01:52.0676180Z async_compile.wait(globals())
2023-01-11T21:01:52.0676238Z del async_compile
2023-01-11T21:01:52.0676243Z 
2023-01-11T21:01:52.0676312Z def call(args):
2023-01-11T21:01:52.0676386Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0676454Z     args.clear()
2023-01-11T21:01:52.0676653Z     buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0676851Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0677037Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0677091Z     del arg0_1
2023-01-11T21:01:52.0677154Z     del arg1_1
2023-01-11T21:01:52.0677228Z     return (buf0, buf1, )
2023-01-11T21:01:52.0677233Z 
2023-01-11T21:01:52.0677237Z 
2023-01-11T21:01:52.0677312Z if __name__ == "__main__":
2023-01-11T21:01:52.0677426Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0677545Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0677756Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0677963Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0678064Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0678080Z 
2023-01-11T21:01:52.0678133Z ok (1.593s)
2023-01-11T21:01:52.0678565Z   test_sum3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0678693Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0678950Z [2023-01-11 20:59:07,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428
2023-01-11T21:01:52.0679210Z [2023-01-11 20:59:09,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428
2023-01-11T21:01:52.0679215Z 
2023-01-11T21:01:52.0679307Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0679376Z import torch
2023-01-11T21:01:52.0679444Z import random
2023-01-11T21:01:52.0679545Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0679666Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0679671Z 
2023-01-11T21:01:52.0679747Z aten = torch.ops.aten
2023-01-11T21:01:52.0679879Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0679968Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0679973Z 
2023-01-11T21:01:52.0679978Z 
2023-01-11T21:01:52.0680109Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0680315Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0680431Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0680533Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0680619Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0680713Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0680805Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0680865Z {
2023-01-11T21:01:52.0680975Z     #pragma GCC ivdep
2023-01-11T21:01:52.0681053Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.0681100Z     {
2023-01-11T21:01:52.0681161Z         {
2023-01-11T21:01:52.0681382Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0681460Z             float tmp3 = 0;
2023-01-11T21:01:52.0681577Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0681659Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0681720Z             {
2023-01-11T21:01:52.0681858Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.0681976Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:52.0682063Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0682163Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.0682240Z                 tmp3_vec += tmp2;
2023-01-11T21:01:52.0682304Z             }
2023-01-11T21:01:52.0682496Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:52.0682612Z             #pragma omp simd simdlen(4)  reduction(+:tmp3)
2023-01-11T21:01:52.0682696Z             for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.0682745Z             {
2023-01-11T21:01:52.0682840Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.0682922Z                 auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.0683005Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0683095Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.0683169Z                 tmp3 += tmp2;
2023-01-11T21:01:52.0683228Z             }
2023-01-11T21:01:52.0683294Z             out_ptr1[i0] = tmp3;
2023-01-11T21:01:52.0683491Z         }
2023-01-11T21:01:52.0683576Z     }
2023-01-11T21:01:52.0683683Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.0683743Z     {
2023-01-11T21:01:52.0683872Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0684004Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(10));
2023-01-11T21:01:52.0684076Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0684161Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0684220Z     }
2023-01-11T21:01:52.0684303Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0684379Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.0684438Z     {
2023-01-11T21:01:52.0684515Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0684600Z         auto tmp1 = static_cast<float>(10);
2023-01-11T21:01:52.0684678Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0684753Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:52.0684811Z     }
2023-01-11T21:01:52.0684870Z }
2023-01-11T21:01:52.0684956Z ''')
2023-01-11T21:01:52.0684961Z 
2023-01-11T21:01:52.0684967Z 
2023-01-11T21:01:52.0685052Z async_compile.wait(globals())
2023-01-11T21:01:52.0685114Z del async_compile
2023-01-11T21:01:52.0685119Z 
2023-01-11T21:01:52.0685189Z def call(args):
2023-01-11T21:01:52.0685260Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0685326Z     args.clear()
2023-01-11T21:01:52.0685525Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0685716Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0685902Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0686101Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0686168Z     del arg0_1
2023-01-11T21:01:52.0686234Z     del arg1_1
2023-01-11T21:01:52.0686316Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0686320Z 
2023-01-11T21:01:52.0686325Z 
2023-01-11T21:01:52.0686399Z if __name__ == "__main__":
2023-01-11T21:01:52.0686510Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0686689Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0686888Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0687106Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0687226Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0687231Z 
2023-01-11T21:01:52.0687295Z ok (1.551s)
2023-01-11T21:01:52.0687725Z   test_sum4_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0687852Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0688109Z [2023-01-11 20:59:09,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429
2023-01-11T21:01:52.0688376Z [2023-01-11 20:59:10,677] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429
2023-01-11T21:01:52.0688384Z 
2023-01-11T21:01:52.0688476Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0688541Z import torch
2023-01-11T21:01:52.0688598Z import random
2023-01-11T21:01:52.0688712Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0688831Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0688836Z 
2023-01-11T21:01:52.0688912Z aten = torch.ops.aten
2023-01-11T21:01:52.0689045Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0689132Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0689137Z 
2023-01-11T21:01:52.0689141Z 
2023-01-11T21:01:52.0689269Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0689471Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0689591Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0689676Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0689772Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0689864Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0689954Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.0690045Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:52.0690106Z {
2023-01-11T21:01:52.0690184Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:52.0690233Z     {
2023-01-11T21:01:52.0690362Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0690490Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0690570Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0690655Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0690716Z     }
2023-01-11T21:01:52.0690799Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0690867Z     for(long i0=1024; i0<1024; i0+=1)
2023-01-11T21:01:52.0690925Z     {
2023-01-11T21:01:52.0691004Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0691099Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0691179Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0691251Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0691308Z     }
2023-01-11T21:01:52.0691370Z     #pragma GCC ivdep
2023-01-11T21:01:52.0691448Z     for(long i0=0; i0<128; i0+=1)
2023-01-11T21:01:52.0691508Z     {
2023-01-11T21:01:52.0691568Z         {
2023-01-11T21:01:52.0691752Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0691824Z             float tmp1 = 0;
2023-01-11T21:01:52.0691940Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0692009Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0692100Z             {
2023-01-11T21:01:52.0692239Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0692314Z                 tmp1_vec += tmp0;
2023-01-11T21:01:52.0692374Z             }
2023-01-11T21:01:52.0692598Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.0692717Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.0692798Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0692848Z             {
2023-01-11T21:01:52.0692944Z                 auto tmp0 = out_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0693017Z                 tmp1 += tmp0;
2023-01-11T21:01:52.0693078Z             }
2023-01-11T21:01:52.0693158Z             out_ptr1[i0] = tmp1;
2023-01-11T21:01:52.0693223Z         }
2023-01-11T21:01:52.0693273Z     }
2023-01-11T21:01:52.0693348Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:52.0693410Z     {
2023-01-11T21:01:52.0693539Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0693666Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:52.0693745Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0693827Z         tmp2.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0693875Z     }
2023-01-11T21:01:52.0693958Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0694037Z     for(long i0=128; i0<128; i0+=1)
2023-01-11T21:01:52.0694129Z     {
2023-01-11T21:01:52.0694210Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:52.0694303Z         auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:52.0694380Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0694442Z         out_ptr2[i0] = tmp2;
2023-01-11T21:01:52.0694501Z     }
2023-01-11T21:01:52.0694576Z     #pragma GCC ivdep
2023-01-11T21:01:52.0694650Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:52.0694709Z     {
2023-01-11T21:01:52.0694769Z         {
2023-01-11T21:01:52.0694953Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0695016Z             float tmp1 = 0;
2023-01-11T21:01:52.0695138Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0695220Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0695282Z             {
2023-01-11T21:01:52.0695421Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0695495Z                 tmp1_vec += tmp0;
2023-01-11T21:01:52.0695556Z             }
2023-01-11T21:01:52.0695748Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.0695851Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.0695938Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0695998Z             {
2023-01-11T21:01:52.0696093Z                 auto tmp0 = out_ptr2[i1 + (8*i0)];
2023-01-11T21:01:52.0696166Z                 tmp1 += tmp0;
2023-01-11T21:01:52.0696226Z             }
2023-01-11T21:01:52.0696305Z             out_ptr3[i0] = tmp1;
2023-01-11T21:01:52.0696353Z         }
2023-01-11T21:01:52.0696414Z     }
2023-01-11T21:01:52.0696491Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0696550Z     {
2023-01-11T21:01:52.0696680Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i0);
2023-01-11T21:01:52.0696808Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2023-01-11T21:01:52.0696887Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0696963Z         tmp2.store(out_ptr4 + 8*i0);
2023-01-11T21:01:52.0697026Z     }
2023-01-11T21:01:52.0697109Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0697187Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.0697247Z     {
2023-01-11T21:01:52.0697327Z         auto tmp0 = out_ptr3[i0];
2023-01-11T21:01:52.0697420Z         auto tmp1 = static_cast<float>(5);
2023-01-11T21:01:52.0697520Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0697594Z         out_ptr4[i0] = tmp2;
2023-01-11T21:01:52.0697652Z     }
2023-01-11T21:01:52.0697710Z }
2023-01-11T21:01:52.0697791Z ''')
2023-01-11T21:01:52.0697835Z 
2023-01-11T21:01:52.0697840Z 
2023-01-11T21:01:52.0697926Z async_compile.wait(globals())
2023-01-11T21:01:52.0697996Z del async_compile
2023-01-11T21:01:52.0698001Z 
2023-01-11T21:01:52.0698057Z def call(args):
2023-01-11T21:01:52.0698125Z     arg0_1, = args
2023-01-11T21:01:52.0698193Z     args.clear()
2023-01-11T21:01:52.0698410Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0698616Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0698815Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0699007Z     buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0699200Z     buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0699422Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:52.0699490Z     del arg0_1
2023-01-11T21:01:52.0699584Z     return (buf4, buf3, buf2, buf1, buf0, )
2023-01-11T21:01:52.0699589Z 
2023-01-11T21:01:52.0699594Z 
2023-01-11T21:01:52.0699667Z if __name__ == "__main__":
2023-01-11T21:01:52.0699778Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0699899Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0700117Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0700221Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0700226Z 
2023-01-11T21:01:52.0700279Z ok (1.585s)
2023-01-11T21:01:52.0700717Z   test_sum5_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0700844Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0701102Z [2023-01-11 20:59:10,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430
2023-01-11T21:01:52.0701363Z [2023-01-11 20:59:12,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430
2023-01-11T21:01:52.0701369Z 
2023-01-11T21:01:52.0701459Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0701526Z import torch
2023-01-11T21:01:52.0701594Z import random
2023-01-11T21:01:52.0701706Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0701816Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0701821Z 
2023-01-11T21:01:52.0701898Z aten = torch.ops.aten
2023-01-11T21:01:52.0702029Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0702119Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0702124Z 
2023-01-11T21:01:52.0702128Z 
2023-01-11T21:01:52.0702258Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0702460Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0702576Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0702678Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0702763Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0702823Z {
2023-01-11T21:01:52.0702906Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:52.0702981Z     #pragma GCC ivdep
2023-01-11T21:01:52.0703058Z     for(long i0=0; i0<136; i0+=1)
2023-01-11T21:01:52.0703151Z     {
2023-01-11T21:01:52.0703211Z         {
2023-01-11T21:01:52.0703384Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0703489Z             float tmp3 = 0;
2023-01-11T21:01:52.0703609Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0703688Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0703748Z             {
2023-01-11T21:01:52.0703886Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (9*i0));
2023-01-11T21:01:52.0704018Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0704105Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0704171Z                 tmp3_vec += tmp2;
2023-01-11T21:01:52.0704232Z             }
2023-01-11T21:01:52.0704423Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:52.0704541Z             #pragma omp simd simdlen(4)  reduction(+:tmp3)
2023-01-11T21:01:52.0704622Z             for(long i1=8; i1<9; i1+=1)
2023-01-11T21:01:52.0704683Z             {
2023-01-11T21:01:52.0704778Z                 auto tmp0 = in_ptr0[i1 + (9*i0)];
2023-01-11T21:01:52.0704875Z                 auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0704947Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0705019Z                 tmp3 += tmp2;
2023-01-11T21:01:52.0705078Z             }
2023-01-11T21:01:52.0705155Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0705216Z         }
2023-01-11T21:01:52.0705276Z     }
2023-01-11T21:01:52.0705338Z     #pragma GCC ivdep
2023-01-11T21:01:52.0705415Z     for(long i0=0; i0<17; i0+=1)
2023-01-11T21:01:52.0705474Z     {
2023-01-11T21:01:52.0705533Z         {
2023-01-11T21:01:52.0705714Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0705790Z             float tmp3 = 0;
2023-01-11T21:01:52.0705907Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0705986Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0706035Z             {
2023-01-11T21:01:52.0706172Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0706304Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2023-01-11T21:01:52.0706389Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0706466Z                 tmp3_vec += tmp2;
2023-01-11T21:01:52.0706529Z             }
2023-01-11T21:01:52.0706720Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:52.0706836Z             #pragma omp simd simdlen(4)  reduction(+:tmp3)
2023-01-11T21:01:52.0706904Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0706966Z             {
2023-01-11T21:01:52.0707060Z                 auto tmp0 = out_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0707157Z                 auto tmp1 = static_cast<float>(3);
2023-01-11T21:01:52.0707241Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0707314Z                 tmp3 += tmp2;
2023-01-11T21:01:52.0707375Z             }
2023-01-11T21:01:52.0707441Z             out_ptr1[i0] = tmp3;
2023-01-11T21:01:52.0707500Z         }
2023-01-11T21:01:52.0707556Z     }
2023-01-11T21:01:52.0707633Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0707691Z     {
2023-01-11T21:01:52.0707818Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0707947Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2023-01-11T21:01:52.0708015Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0708103Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0708161Z     }
2023-01-11T21:01:52.0708245Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0708356Z     for(long i0=16; i0<17; i0+=1)
2023-01-11T21:01:52.0708413Z     {
2023-01-11T21:01:52.0708479Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:52.0708572Z         auto tmp1 = static_cast<float>(5);
2023-01-11T21:01:52.0708697Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0708777Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0708835Z     }
2023-01-11T21:01:52.0708893Z }
2023-01-11T21:01:52.0708972Z ''')
2023-01-11T21:01:52.0708978Z 
2023-01-11T21:01:52.0708982Z 
2023-01-11T21:01:52.0709056Z async_compile.wait(globals())
2023-01-11T21:01:52.0709127Z del async_compile
2023-01-11T21:01:52.0709132Z 
2023-01-11T21:01:52.0709199Z def call(args):
2023-01-11T21:01:52.0709267Z     arg0_1, = args
2023-01-11T21:01:52.0709336Z     args.clear()
2023-01-11T21:01:52.0709542Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0709736Z     buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0709821Z     buf2 = buf1; del buf1  # reuse
2023-01-11T21:01:52.0709973Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0710036Z     del arg0_1
2023-01-11T21:01:52.0710105Z     return (buf2, )
2023-01-11T21:01:52.0710113Z 
2023-01-11T21:01:52.0710117Z 
2023-01-11T21:01:52.0710189Z if __name__ == "__main__":
2023-01-11T21:01:52.0710302Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0710424Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0710635Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0710741Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0710746Z 
2023-01-11T21:01:52.0710799Z ok (1.581s)
2023-01-11T21:01:52.0711236Z   test_sum_dtype_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0711364Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0711622Z [2023-01-11 20:59:12,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431
2023-01-11T21:01:52.0711882Z [2023-01-11 20:59:13,798] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431
2023-01-11T21:01:52.0711890Z 
2023-01-11T21:01:52.0711981Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0712045Z import torch
2023-01-11T21:01:52.0712114Z import random
2023-01-11T21:01:52.0712229Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0712338Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0712343Z 
2023-01-11T21:01:52.0712418Z aten = torch.ops.aten
2023-01-11T21:01:52.0712549Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0712640Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0712645Z 
2023-01-11T21:01:52.0712650Z 
2023-01-11T21:01:52.0712779Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0713059Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0713182Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0713281Z                        double* __restrict__ out_ptr0,
2023-01-11T21:01:52.0713366Z                        double* __restrict__ out_ptr1,
2023-01-11T21:01:52.0713458Z                        double* __restrict__ out_ptr2)
2023-01-11T21:01:52.0713515Z {
2023-01-11T21:01:52.0713589Z     #pragma GCC ivdep
2023-01-11T21:01:52.0713666Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0713725Z     {
2023-01-11T21:01:52.0713786Z         {
2023-01-11T21:01:52.0713835Z             {
2023-01-11T21:01:52.0713910Z                 double tmp2 = 0;
2023-01-11T21:01:52.0714034Z                 for(long i1=0; i1<32; i1+=1)
2023-01-11T21:01:52.0714097Z                 {
2023-01-11T21:01:52.0714164Z                     {
2023-01-11T21:01:52.0714265Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:52.0714393Z                         auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.0714473Z                         tmp2 += tmp1;
2023-01-11T21:01:52.0714536Z                     }
2023-01-11T21:01:52.0714595Z                 }
2023-01-11T21:01:52.0714676Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0714736Z             }
2023-01-11T21:01:52.0714794Z         }
2023-01-11T21:01:52.0714842Z     }
2023-01-11T21:01:52.0714898Z     {
2023-01-11T21:01:52.0714957Z         {
2023-01-11T21:01:52.0715033Z             double tmp2 = 0;
2023-01-11T21:01:52.0715117Z             for(long i0=0; i0<1024; i0+=1)
2023-01-11T21:01:52.0715177Z             {
2023-01-11T21:01:52.0715239Z                 {
2023-01-11T21:01:52.0715319Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0715424Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.0715498Z                     tmp2 += tmp1;
2023-01-11T21:01:52.0715559Z                 }
2023-01-11T21:01:52.0715622Z             }
2023-01-11T21:01:52.0715697Z             out_ptr1[0] = tmp2;
2023-01-11T21:01:52.0715757Z         }
2023-01-11T21:01:52.0715804Z     }
2023-01-11T21:01:52.0715878Z     #pragma GCC ivdep
2023-01-11T21:01:52.0715954Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0716012Z     {
2023-01-11T21:01:52.0716089Z         #pragma GCC ivdep
2023-01-11T21:01:52.0716166Z         for(long i1=0; i1<32; i1+=1)
2023-01-11T21:01:52.0716215Z         {
2023-01-11T21:01:52.0716276Z             {
2023-01-11T21:01:52.0716337Z                 {
2023-01-11T21:01:52.0716432Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2023-01-11T21:01:52.0716521Z                     auto tmp2 = out_ptr0[i1];
2023-01-11T21:01:52.0716609Z                     auto tmp4 = out_ptr1[0];
2023-01-11T21:01:52.0716718Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.0716793Z                     auto tmp3 = tmp1 * tmp2;
2023-01-11T21:01:52.0716880Z                     auto tmp5 = tmp3 + tmp4;
2023-01-11T21:01:52.0716971Z                     out_ptr2[i1 + (32*i0)] = tmp5;
2023-01-11T21:01:52.0717032Z                 }
2023-01-11T21:01:52.0717093Z             }
2023-01-11T21:01:52.0717151Z         }
2023-01-11T21:01:52.0717214Z     }
2023-01-11T21:01:52.0717260Z }
2023-01-11T21:01:52.0717343Z ''')
2023-01-11T21:01:52.0717348Z 
2023-01-11T21:01:52.0717352Z 
2023-01-11T21:01:52.0717438Z async_compile.wait(globals())
2023-01-11T21:01:52.0717508Z del async_compile
2023-01-11T21:01:52.0717512Z 
2023-01-11T21:01:52.0717579Z def call(args):
2023-01-11T21:01:52.0717645Z     arg0_1, = args
2023-01-11T21:01:52.0717714Z     args.clear()
2023-01-11T21:01:52.0717893Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.0718078Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.0718271Z     buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.0718459Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0718525Z     del arg0_1
2023-01-11T21:01:52.0718593Z     return (buf2, )
2023-01-11T21:01:52.0718598Z 
2023-01-11T21:01:52.0718603Z 
2023-01-11T21:01:52.0718674Z if __name__ == "__main__":
2023-01-11T21:01:52.0718786Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0718895Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0719092Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0719196Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0719201Z 
2023-01-11T21:01:52.0719264Z ok (1.540s)
2023-01-11T21:01:52.0719724Z   test_sum_int_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0719890Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0720148Z [2023-01-11 20:59:13,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432
2023-01-11T21:01:52.0720410Z [2023-01-11 20:59:15,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432
2023-01-11T21:01:52.0720807Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0720934Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0721175Z [2023-01-11 20:59:15,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433
2023-01-11T21:01:52.0721436Z [2023-01-11 20:59:16,863] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433
2023-01-11T21:01:52.0721829Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0721953Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0722206Z [2023-01-11 20:59:16,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434
2023-01-11T21:01:52.0722467Z [2023-01-11 20:59:18,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434
2023-01-11T21:01:52.0722473Z 
2023-01-11T21:01:52.0722565Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0722634Z import torch
2023-01-11T21:01:52.0722703Z import random
2023-01-11T21:01:52.0722815Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0722922Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0722927Z 
2023-01-11T21:01:52.0723003Z aten = torch.ops.aten
2023-01-11T21:01:52.0723135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0723226Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0723231Z 
2023-01-11T21:01:52.0723236Z 
2023-01-11T21:01:52.0723495Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0723736Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0723851Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0723957Z                        const bool* __restrict__ in_ptr0,
2023-01-11T21:01:52.0724041Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:52.0724098Z {
2023-01-11T21:01:52.0724182Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:52.0724242Z     {
2023-01-11T21:01:52.0724304Z         {
2023-01-11T21:01:52.0724377Z             long tmp2 = 0;
2023-01-11T21:01:52.0724437Z             long tmp3 = 0;
2023-01-11T21:01:52.0724523Z             for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0724584Z             {
2023-01-11T21:01:52.0724647Z                 {
2023-01-11T21:01:52.0724733Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0724836Z                     auto tmp1 = static_cast<long>(tmp0);
2023-01-11T21:01:52.0724912Z                     tmp2 += tmp1;
2023-01-11T21:01:52.0724973Z                     tmp3 += tmp1;
2023-01-11T21:01:52.0725036Z                 }
2023-01-11T21:01:52.0725098Z             }
2023-01-11T21:01:52.0725230Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:52.0725305Z             out_ptr1[0] = tmp3;
2023-01-11T21:01:52.0725364Z         }
2023-01-11T21:01:52.0725424Z     }
2023-01-11T21:01:52.0725472Z     {
2023-01-11T21:01:52.0725564Z         {
2023-01-11T21:01:52.0725649Z             auto tmp0 = out_ptr0[0];
2023-01-11T21:01:52.0725728Z             auto tmp3 = out_ptr1[0];
2023-01-11T21:01:52.0725825Z             auto tmp1 = static_cast<long>(2);
2023-01-11T21:01:52.0725905Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0725984Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0726051Z             in_out_ptr0[0] = tmp4;
2023-01-11T21:01:52.0726111Z         }
2023-01-11T21:01:52.0726169Z     }
2023-01-11T21:01:52.0726227Z }
2023-01-11T21:01:52.0726307Z ''')
2023-01-11T21:01:52.0726312Z 
2023-01-11T21:01:52.0726317Z 
2023-01-11T21:01:52.0726399Z async_compile.wait(globals())
2023-01-11T21:01:52.0726470Z del async_compile
2023-01-11T21:01:52.0726474Z 
2023-01-11T21:01:52.0726534Z def call(args):
2023-01-11T21:01:52.0726600Z     arg0_1, = args
2023-01-11T21:01:52.0726669Z     args.clear()
2023-01-11T21:01:52.0726849Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0727027Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0727110Z     buf2 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0727271Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0727325Z     del arg0_1
2023-01-11T21:01:52.0727394Z     return (buf2, )
2023-01-11T21:01:52.0727399Z 
2023-01-11T21:01:52.0727403Z 
2023-01-11T21:01:52.0727477Z if __name__ == "__main__":
2023-01-11T21:01:52.0727588Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0727710Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0727897Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0728004Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0728010Z 
2023-01-11T21:01:52.0728014Z 
2023-01-11T21:01:52.0728105Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0728161Z import torch
2023-01-11T21:01:52.0728229Z import random
2023-01-11T21:01:52.0728343Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0728459Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0728464Z 
2023-01-11T21:01:52.0728536Z aten = torch.ops.aten
2023-01-11T21:01:52.0728666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0728754Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0728760Z 
2023-01-11T21:01:52.0728764Z 
2023-01-11T21:01:52.0728893Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0729083Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0729196Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0729308Z                        const unsigned char* __restrict__ in_ptr0,
2023-01-11T21:01:52.0729405Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:52.0729467Z {
2023-01-11T21:01:52.0729547Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:52.0729606Z     {
2023-01-11T21:01:52.0729657Z         {
2023-01-11T21:01:52.0729730Z             long tmp2 = 0;
2023-01-11T21:01:52.0729800Z             long tmp3 = 0;
2023-01-11T21:01:52.0729883Z             for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0729945Z             {
2023-01-11T21:01:52.0730007Z                 {
2023-01-11T21:01:52.0730097Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0730189Z                     auto tmp1 = static_cast<long>(tmp0);
2023-01-11T21:01:52.0730264Z                     tmp2 += tmp1;
2023-01-11T21:01:52.0730338Z                     tmp3 += tmp1;
2023-01-11T21:01:52.0730399Z                 }
2023-01-11T21:01:52.0730458Z             }
2023-01-11T21:01:52.0730533Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:52.0730639Z             out_ptr1[0] = tmp3;
2023-01-11T21:01:52.0730688Z         }
2023-01-11T21:01:52.0730746Z     }
2023-01-11T21:01:52.0730804Z     {
2023-01-11T21:01:52.0730863Z         {
2023-01-11T21:01:52.0730946Z             auto tmp0 = out_ptr0[0];
2023-01-11T21:01:52.0731056Z             auto tmp3 = out_ptr1[0];
2023-01-11T21:01:52.0731141Z             auto tmp1 = static_cast<long>(2);
2023-01-11T21:01:52.0731223Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0731301Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0731380Z             in_out_ptr0[0] = tmp4;
2023-01-11T21:01:52.0731441Z         }
2023-01-11T21:01:52.0731500Z     }
2023-01-11T21:01:52.0731556Z }
2023-01-11T21:01:52.0731620Z ''')
2023-01-11T21:01:52.0731626Z 
2023-01-11T21:01:52.0731630Z 
2023-01-11T21:01:52.0731715Z async_compile.wait(globals())
2023-01-11T21:01:52.0731782Z del async_compile
2023-01-11T21:01:52.0731787Z 
2023-01-11T21:01:52.0731854Z def call(args):
2023-01-11T21:01:52.0731921Z     arg0_1, = args
2023-01-11T21:01:52.0731993Z     args.clear()
2023-01-11T21:01:52.0732169Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0732333Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0732417Z     buf2 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0732575Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0732641Z     del arg0_1
2023-01-11T21:01:52.0732710Z     return (buf2, )
2023-01-11T21:01:52.0732714Z 
2023-01-11T21:01:52.0732719Z 
2023-01-11T21:01:52.0732792Z if __name__ == "__main__":
2023-01-11T21:01:52.0732903Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0733025Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0733199Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8)
2023-01-11T21:01:52.0733305Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0733310Z 
2023-01-11T21:01:52.0733316Z 
2023-01-11T21:01:52.0733406Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0733474Z import torch
2023-01-11T21:01:52.0733540Z import random
2023-01-11T21:01:52.0733654Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0733773Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0733778Z 
2023-01-11T21:01:52.0733853Z aten = torch.ops.aten
2023-01-11T21:01:52.0733972Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0734060Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0734065Z 
2023-01-11T21:01:52.0734069Z 
2023-01-11T21:01:52.0734197Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0734400Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0734513Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0734614Z                        const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.0734709Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:52.0734770Z {
2023-01-11T21:01:52.0734841Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:52.0734901Z     {
2023-01-11T21:01:52.0734961Z         {
2023-01-11T21:01:52.0735034Z             long tmp2 = 0;
2023-01-11T21:01:52.0735108Z             long tmp3 = 0;
2023-01-11T21:01:52.0735191Z             for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0735241Z             {
2023-01-11T21:01:52.0735303Z                 {
2023-01-11T21:01:52.0735392Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0735496Z                     auto tmp1 = static_cast<long>(tmp0);
2023-01-11T21:01:52.0735571Z                     tmp2 += tmp1;
2023-01-11T21:01:52.0735645Z                     tmp3 += tmp1;
2023-01-11T21:01:52.0735708Z                 }
2023-01-11T21:01:52.0735756Z             }
2023-01-11T21:01:52.0735832Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:52.0735905Z             out_ptr1[0] = tmp3;
2023-01-11T21:01:52.0735965Z         }
2023-01-11T21:01:52.0736052Z     }
2023-01-11T21:01:52.0736110Z     {
2023-01-11T21:01:52.0736171Z         {
2023-01-11T21:01:52.0736243Z             auto tmp0 = out_ptr0[0];
2023-01-11T21:01:52.0736321Z             auto tmp3 = out_ptr1[0];
2023-01-11T21:01:52.0736451Z             auto tmp1 = static_cast<long>(2);
2023-01-11T21:01:52.0736536Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0736615Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0736694Z             in_out_ptr0[0] = tmp4;
2023-01-11T21:01:52.0736753Z         }
2023-01-11T21:01:52.0736800Z     }
2023-01-11T21:01:52.0736859Z }
2023-01-11T21:01:52.0736936Z ''')
2023-01-11T21:01:52.0736941Z 
2023-01-11T21:01:52.0736946Z 
2023-01-11T21:01:52.0737032Z async_compile.wait(globals())
2023-01-11T21:01:52.0744683Z del async_compile
2023-01-11T21:01:52.0744696Z 
2023-01-11T21:01:52.0744820Z def call(args):
2023-01-11T21:01:52.0744880Z     arg0_1, = args
2023-01-11T21:01:52.0744955Z     args.clear()
2023-01-11T21:01:52.0745173Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0745362Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0745448Z     buf2 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0745614Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0745683Z     del arg0_1
2023-01-11T21:01:52.0745741Z     return (buf2, )
2023-01-11T21:01:52.0745746Z 
2023-01-11T21:01:52.0745751Z 
2023-01-11T21:01:52.0745826Z if __name__ == "__main__":
2023-01-11T21:01:52.0745939Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0746062Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0746250Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.0746356Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0746362Z 
2023-01-11T21:01:52.0746426Z ok (4.600s)
2023-01-11T21:01:52.0746872Z   test_sum_keepdims_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0746999Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0747247Z [2023-01-11 20:59:18,428] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435
2023-01-11T21:01:52.0747513Z [2023-01-11 20:59:18,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435
2023-01-11T21:01:52.0747518Z 
2023-01-11T21:01:52.0747610Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0747678Z import torch
2023-01-11T21:01:52.0747747Z import random
2023-01-11T21:01:52.0747862Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0747982Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0747989Z 
2023-01-11T21:01:52.0748064Z aten = torch.ops.aten
2023-01-11T21:01:52.0748185Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0748275Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0748282Z 
2023-01-11T21:01:52.0748286Z 
2023-01-11T21:01:52.0748417Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0748621Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0748738Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0748840Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0748939Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0748996Z {
2023-01-11T21:01:52.0749059Z     #pragma GCC ivdep
2023-01-11T21:01:52.0749138Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0749198Z     {
2023-01-11T21:01:52.0749258Z         {
2023-01-11T21:01:52.0749536Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0749611Z             float tmp3 = 0;
2023-01-11T21:01:52.0749731Z             auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2023-01-11T21:01:52.0749834Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.0749897Z             {
2023-01-11T21:01:52.0750037Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0750172Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2023-01-11T21:01:52.0750259Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0750337Z                 tmp3_vec += tmp2;
2023-01-11T21:01:52.0750400Z             }
2023-01-11T21:01:52.0750596Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2023-01-11T21:01:52.0750700Z             #pragma omp simd simdlen(4)  reduction(+:tmp3)
2023-01-11T21:01:52.0750784Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.0750846Z             {
2023-01-11T21:01:52.0750939Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.0751034Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:52.0751120Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0751193Z                 tmp3 += tmp2;
2023-01-11T21:01:52.0751241Z             }
2023-01-11T21:01:52.0751316Z             out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0751380Z         }
2023-01-11T21:01:52.0751439Z     }
2023-01-11T21:01:52.0751498Z }
2023-01-11T21:01:52.0751575Z ''')
2023-01-11T21:01:52.0751580Z 
2023-01-11T21:01:52.0751584Z 
2023-01-11T21:01:52.0751672Z async_compile.wait(globals())
2023-01-11T21:01:52.0751730Z del async_compile
2023-01-11T21:01:52.0751745Z 
2023-01-11T21:01:52.0751801Z def call(args):
2023-01-11T21:01:52.0751874Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0751942Z     args.clear()
2023-01-11T21:01:52.0752137Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0752300Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0752365Z     del arg0_1
2023-01-11T21:01:52.0752419Z     del arg1_1
2023-01-11T21:01:52.0752488Z     return (buf0, )
2023-01-11T21:01:52.0752493Z 
2023-01-11T21:01:52.0752498Z 
2023-01-11T21:01:52.0752570Z if __name__ == "__main__":
2023-01-11T21:01:52.0752682Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0752803Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0753079Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0753270Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0753382Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0753387Z 
2023-01-11T21:01:52.0753455Z ok (0.043s)
2023-01-11T21:01:52.0753878Z   test_tanh_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0754008Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0754267Z [2023-01-11 20:59:18,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436
2023-01-11T21:01:52.0754529Z [2023-01-11 20:59:19,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436
2023-01-11T21:01:52.0754535Z 
2023-01-11T21:01:52.0754625Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0754694Z import torch
2023-01-11T21:01:52.0754762Z import random
2023-01-11T21:01:52.0754873Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0755015Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0755033Z 
2023-01-11T21:01:52.0755098Z aten = torch.ops.aten
2023-01-11T21:01:52.0755228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0755345Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0755350Z 
2023-01-11T21:01:52.0755355Z 
2023-01-11T21:01:52.0755485Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0755689Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0755805Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0755901Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0755993Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0756040Z {
2023-01-11T21:01:52.0756119Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0756179Z     {
2023-01-11T21:01:52.0756310Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0756391Z         auto tmp1 = tmp0.tanh();
2023-01-11T21:01:52.0756517Z         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0756597Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.0756709Z         auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0756787Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:52.0756865Z         auto tmp6 = tmp5.tanh();
2023-01-11T21:01:52.0756951Z         tmp3.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0757032Z         tmp6.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0757090Z     }
2023-01-11T21:01:52.0757174Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0757241Z     for(long i0=256; i0<256; i0+=1)
2023-01-11T21:01:52.0757299Z     {
2023-01-11T21:01:52.0757376Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0757462Z         auto tmp1 = std::tanh(tmp0);
2023-01-11T21:01:52.0757554Z         auto tmp2 = static_cast<float>(2);
2023-01-11T21:01:52.0757634Z         auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.0757726Z         auto tmp4 = static_cast<float>(1);
2023-01-11T21:01:52.0757793Z         auto tmp5 = tmp0 + tmp4;
2023-01-11T21:01:52.0757877Z         auto tmp6 = std::tanh(tmp5);
2023-01-11T21:01:52.0757954Z         out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0758029Z         out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0758086Z     }
2023-01-11T21:01:52.0758142Z }
2023-01-11T21:01:52.0758207Z ''')
2023-01-11T21:01:52.0758225Z 
2023-01-11T21:01:52.0758230Z 
2023-01-11T21:01:52.0758304Z async_compile.wait(globals())
2023-01-11T21:01:52.0758374Z del async_compile
2023-01-11T21:01:52.0758379Z 
2023-01-11T21:01:52.0758446Z def call(args):
2023-01-11T21:01:52.0758513Z     arg0_1, = args
2023-01-11T21:01:52.0758582Z     args.clear()
2023-01-11T21:01:52.0758778Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0758975Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0759125Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0759191Z     del arg0_1
2023-01-11T21:01:52.0759266Z     return (buf0, buf1, )
2023-01-11T21:01:52.0759271Z 
2023-01-11T21:01:52.0759276Z 
2023-01-11T21:01:52.0759350Z if __name__ == "__main__":
2023-01-11T21:01:52.0759461Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0759581Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0759777Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0759879Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0759884Z 
2023-01-11T21:01:52.0759936Z ok (1.552s)
2023-01-11T21:01:52.0760370Z   test_tensor1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0760534Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0760818Z [2023-01-11 20:59:20,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437
2023-01-11T21:01:52.0761083Z [2023-01-11 20:59:21,519] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437
2023-01-11T21:01:52.0761088Z 
2023-01-11T21:01:52.0761180Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0761248Z import torch
2023-01-11T21:01:52.0761313Z import random
2023-01-11T21:01:52.0761425Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0761532Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0761537Z 
2023-01-11T21:01:52.0761613Z aten = torch.ops.aten
2023-01-11T21:01:52.0761743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0761838Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0761843Z 
2023-01-11T21:01:52.0761847Z 
2023-01-11T21:01:52.0761978Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0762181Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0762298Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0762394Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0762476Z                        long* __restrict__ out_ptr1)
2023-01-11T21:01:52.0762535Z {
2023-01-11T21:01:52.0762612Z     #pragma GCC ivdep
2023-01-11T21:01:52.0762690Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.0762750Z     {
2023-01-11T21:01:52.0762810Z         {
2023-01-11T21:01:52.0762872Z             {
2023-01-11T21:01:52.0762945Z                 auto tmp2 = in_ptr0[i0];
2023-01-11T21:01:52.0763041Z                 auto tmp0 = static_cast<long>(1);
2023-01-11T21:01:52.0763143Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.0763230Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.0763310Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0763511Z             }
2023-01-11T21:01:52.0763606Z         }
2023-01-11T21:01:52.0763661Z     }
2023-01-11T21:01:52.0763720Z     {
2023-01-11T21:01:52.0763781Z         {
2023-01-11T21:01:52.0763877Z             auto tmp0 = static_cast<long>(5);
2023-01-11T21:01:52.0763950Z             out_ptr1[0] = tmp0;
2023-01-11T21:01:52.0764009Z         }
2023-01-11T21:01:52.0764056Z     }
2023-01-11T21:01:52.0764116Z }
2023-01-11T21:01:52.0764196Z ''')
2023-01-11T21:01:52.0764201Z 
2023-01-11T21:01:52.0764205Z 
2023-01-11T21:01:52.0764292Z async_compile.wait(globals())
2023-01-11T21:01:52.0764365Z del async_compile
2023-01-11T21:01:52.0764370Z 
2023-01-11T21:01:52.0764438Z def call(args):
2023-01-11T21:01:52.0764503Z     arg0_1, = args
2023-01-11T21:01:52.0764560Z     args.clear()
2023-01-11T21:01:52.0764752Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0764929Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0765091Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0765160Z     del arg0_1
2023-01-11T21:01:52.0765236Z     return (buf0, buf1, )
2023-01-11T21:01:52.0765241Z 
2023-01-11T21:01:52.0765246Z 
2023-01-11T21:01:52.0765319Z if __name__ == "__main__":
2023-01-11T21:01:52.0765432Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0765542Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0765734Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0765840Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0765845Z 
2023-01-11T21:01:52.0765907Z ok (1.526s)
2023-01-11T21:01:52.0766345Z   test_tensor2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0766583Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0766845Z [2023-01-11 20:59:21,543] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438
2023-01-11T21:01:52.0767107Z [2023-01-11 20:59:23,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438
2023-01-11T21:01:52.0767113Z 
2023-01-11T21:01:52.0767205Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0767271Z import torch
2023-01-11T21:01:52.0767327Z import random
2023-01-11T21:01:52.0767438Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0767560Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0767565Z 
2023-01-11T21:01:52.0767643Z aten = torch.ops.aten
2023-01-11T21:01:52.0767774Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0767861Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0768019Z constant0 = None  # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281
2023-01-11T21:01:52.0768025Z 
2023-01-11T21:01:52.0768029Z 
2023-01-11T21:01:52.0768160Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0768349Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0768463Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:52.0768566Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0768663Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0768724Z {
2023-01-11T21:01:52.0768798Z     #pragma GCC ivdep
2023-01-11T21:01:52.0768875Z     for(long i0=0; i0<19; i0+=1)
2023-01-11T21:01:52.0768923Z     {
2023-01-11T21:01:52.0768986Z         {
2023-01-11T21:01:52.0769047Z             {
2023-01-11T21:01:52.0769133Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0769215Z                 auto tmp2 = in_ptr1[0];
2023-01-11T21:01:52.0769318Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.0769402Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.0769469Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0769529Z             }
2023-01-11T21:01:52.0769591Z         }
2023-01-11T21:01:52.0769647Z     }
2023-01-11T21:01:52.0769705Z }
2023-01-11T21:01:52.0769780Z ''')
2023-01-11T21:01:52.0769785Z 
2023-01-11T21:01:52.0769789Z 
2023-01-11T21:01:52.0769876Z async_compile.wait(globals())
2023-01-11T21:01:52.0769937Z del async_compile
2023-01-11T21:01:52.0769942Z 
2023-01-11T21:01:52.0770010Z def call(args):
2023-01-11T21:01:52.0770077Z     arg0_1, = args
2023-01-11T21:01:52.0770145Z     args.clear()
2023-01-11T21:01:52.0770335Z     buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0770505Z     kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0770570Z     del arg0_1
2023-01-11T21:01:52.0770627Z     return (buf0, )
2023-01-11T21:01:52.0770632Z 
2023-01-11T21:01:52.0770638Z 
2023-01-11T21:01:52.0770712Z if __name__ == "__main__":
2023-01-11T21:01:52.0770822Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0770941Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0771137Z     constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0771326Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0771430Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0771434Z 
2023-01-11T21:01:52.0771498Z ok (1.531s)
2023-01-11T21:01:52.0771918Z   test_tensor3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0772097Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0772353Z [2023-01-11 20:59:23,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439
2023-01-11T21:01:52.0772612Z [2023-01-11 20:59:24,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439
2023-01-11T21:01:52.0772617Z 
2023-01-11T21:01:52.0772711Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0772780Z import torch
2023-01-11T21:01:52.0772848Z import random
2023-01-11T21:01:52.0772960Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0773079Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0773084Z 
2023-01-11T21:01:52.0773150Z aten = torch.ops.aten
2023-01-11T21:01:52.0773281Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0773369Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0773374Z 
2023-01-11T21:01:52.0773378Z 
2023-01-11T21:01:52.0773510Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0773711Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0773827Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0773923Z                        long* __restrict__ out_ptr0,
2023-01-11T21:01:52.0774013Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:52.0774097Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0774155Z {
2023-01-11T21:01:52.0774231Z     #pragma GCC ivdep
2023-01-11T21:01:52.0774308Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0774367Z     {
2023-01-11T21:01:52.0774426Z         {
2023-01-11T21:01:52.0774487Z             {
2023-01-11T21:01:52.0774575Z                 auto tmp0 = static_cast<long>(i0);
2023-01-11T21:01:52.0774670Z                 auto tmp1 = static_cast<long>(1);
2023-01-11T21:01:52.0774754Z                 auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:52.0774851Z                 auto tmp3 = static_cast<long>(2);
2023-01-11T21:01:52.0774944Z                 auto tmp4 = tmp2 ? tmp1 : tmp3;
2023-01-11T21:01:52.0775029Z                 auto tmp5 = tmp4 + tmp1;
2023-01-11T21:01:52.0775108Z                 out_ptr0[i0] = tmp5;
2023-01-11T21:01:52.0775158Z             }
2023-01-11T21:01:52.0775217Z         }
2023-01-11T21:01:52.0775276Z     }
2023-01-11T21:01:52.0775348Z     #pragma GCC ivdep
2023-01-11T21:01:52.0775430Z     for(long i0=0; i0<3; i0+=1)
2023-01-11T21:01:52.0775488Z     {
2023-01-11T21:01:52.0775536Z         {
2023-01-11T21:01:52.0775595Z             {
2023-01-11T21:01:52.0775692Z                 auto tmp0 = static_cast<long>(i0);
2023-01-11T21:01:52.0775787Z                 auto tmp1 = static_cast<long>(1);
2023-01-11T21:01:52.0775872Z                 auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:52.0775964Z                 auto tmp3 = static_cast<long>(2);
2023-01-11T21:01:52.0776044Z                 auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:52.0776125Z                 auto tmp5 = static_cast<long>(3);
2023-01-11T21:01:52.0776217Z                 auto tmp6 = tmp4 ? tmp3 : tmp5;
2023-01-11T21:01:52.0776311Z                 auto tmp7 = tmp2 ? tmp1 : tmp6;
2023-01-11T21:01:52.0776398Z                 auto tmp8 = tmp7 + tmp3;
2023-01-11T21:01:52.0776477Z                 out_ptr1[i0] = tmp8;
2023-01-11T21:01:52.0776537Z             }
2023-01-11T21:01:52.0776597Z         }
2023-01-11T21:01:52.0776643Z     }
2023-01-11T21:01:52.0776718Z     #pragma GCC ivdep
2023-01-11T21:01:52.0776795Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.0776854Z     {
2023-01-11T21:01:52.0776914Z         {
2023-01-11T21:01:52.0776976Z             {
2023-01-11T21:01:52.0777062Z                 auto tmp12 = in_ptr0[i0];
2023-01-11T21:01:52.0777178Z                 auto tmp0 = static_cast<long>(i0);
2023-01-11T21:01:52.0777273Z                 auto tmp1 = static_cast<long>(2);
2023-01-11T21:01:52.0777357Z                 auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:52.0777478Z                 auto tmp3 = static_cast<long>(1);
2023-01-11T21:01:52.0777562Z                 auto tmp4 = tmp0 < tmp3;
2023-01-11T21:01:52.0777654Z                 auto tmp5 = tmp4 ? tmp3 : tmp1;
2023-01-11T21:01:52.0777748Z                 auto tmp6 = static_cast<long>(3);
2023-01-11T21:01:52.0777820Z                 auto tmp7 = tmp0 < tmp6;
2023-01-11T21:01:52.0777911Z                 auto tmp8 = static_cast<long>(4);
2023-01-11T21:01:52.0778003Z                 auto tmp9 = tmp7 ? tmp6 : tmp8;
2023-01-11T21:01:52.0778097Z                 auto tmp10 = tmp2 ? tmp5 : tmp9;
2023-01-11T21:01:52.0778201Z                 auto tmp11 = static_cast<float>(tmp10);
2023-01-11T21:01:52.0778287Z                 auto tmp13 = tmp11 + tmp12;
2023-01-11T21:01:52.0778370Z                 out_ptr2[i0] = tmp13;
2023-01-11T21:01:52.0778423Z             }
2023-01-11T21:01:52.0778482Z         }
2023-01-11T21:01:52.0778538Z     }
2023-01-11T21:01:52.0778595Z }
2023-01-11T21:01:52.0778672Z ''')
2023-01-11T21:01:52.0778677Z 
2023-01-11T21:01:52.0778682Z 
2023-01-11T21:01:52.0778770Z async_compile.wait(globals())
2023-01-11T21:01:52.0778840Z del async_compile
2023-01-11T21:01:52.0778845Z 
2023-01-11T21:01:52.0778901Z def call(args):
2023-01-11T21:01:52.0778968Z     arg0_1, = args
2023-01-11T21:01:52.0779036Z     args.clear()
2023-01-11T21:01:52.0779222Z     buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0779409Z     buf1 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0779596Z     buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0779782Z     buf3 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0779956Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0780024Z     del arg0_1
2023-01-11T21:01:52.0780110Z     return (buf3, buf0, buf1, buf2, )
2023-01-11T21:01:52.0780116Z 
2023-01-11T21:01:52.0780120Z 
2023-01-11T21:01:52.0780196Z if __name__ == "__main__":
2023-01-11T21:01:52.0780307Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0780427Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0780615Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0780719Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0780724Z 
2023-01-11T21:01:52.0780788Z ok (1.550s)
2023-01-11T21:01:52.0781224Z   test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0781353Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0781720Z Failed to collect metadata on function, produced code may be suboptimal.  Known situations this can occur are inference mode only compilation involving resize_ or prims (!schema.hasAnyAliasInfo() INTERNAL ASSERT FAILED); if your situation looks different please file a bug to PyTorch.
2023-01-11T21:01:52.0781811Z Traceback (most recent call last):
2023-01-11T21:01:52.0782082Z   File "/opt/conda/lib/python3.7/site-packages/torch/_functorch/aot_autograd.py", line 1275, in aot_wrapper_dedupe
2023-01-11T21:01:52.0782150Z     )(*flat_args)
2023-01-11T21:01:52.0782397Z   File "/opt/conda/lib/python3.7/site-packages/torch/_functorch/aot_autograd.py", line 289, in inner
2023-01-11T21:01:52.0782467Z     outs = f(*f_args)
2023-01-11T21:01:52.0782726Z   File "/opt/conda/lib/python3.7/site-packages/torch/_functorch/aot_autograd.py", line 2327, in functional_call
2023-01-11T21:01:52.0782862Z     out = Interpreter(mod).run(*args[params_len:], **kwargs)
2023-01-11T21:01:52.0783115Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/interpreter.py", line 136, in run
2023-01-11T21:01:52.0783207Z     self.env[node] = self.run_node(node)
2023-01-11T21:01:52.0783436Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/interpreter.py", line 177, in run_node
2023-01-11T21:01:52.0783548Z     return getattr(self, n.op)(n.target, args, kwargs)
2023-01-11T21:01:52.0783790Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/interpreter.py", line 249, in call_function
2023-01-11T21:01:52.0783875Z     return target(*args, **kwargs)
2023-01-11T21:01:52.0784086Z   File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 284, in __call__
2023-01-11T21:01:52.0784170Z     return self._op(*args, **kwargs or {})
2023-01-11T21:01:52.0784424Z   File "/opt/conda/lib/python3.7/site-packages/torch/_inductor/overrides.py", line 36, in __torch_function__
2023-01-11T21:01:52.0784506Z     return func(*args, **kwargs)
2023-01-11T21:01:52.0784720Z   File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 284, in __call__
2023-01-11T21:01:52.0784818Z     return self._op(*args, **kwargs or {})
2023-01-11T21:01:52.0785052Z   File "/opt/conda/lib/python3.7/site-packages/torch/_prims/__init__.py", line 285, in _autograd_impl
2023-01-11T21:01:52.0785170Z     return backwards_not_supported(_prim)(*args, **kwargs)
2023-01-11T21:01:52.0785432Z   File "/opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py", line 309, in _autograd_impl
2023-01-11T21:01:52.0785517Z     return redispatch_prim(args, kwargs)
2023-01-11T21:01:52.0785772Z   File "/opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py", line 279, in redispatch_prim
2023-01-11T21:01:52.0785857Z     return prim(*args, **kwargs)
2023-01-11T21:01:52.0786067Z   File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 284, in __call__
2023-01-11T21:01:52.0786162Z     return self._op(*args, **kwargs or {})
2023-01-11T21:01:52.0786653Z RuntimeError: !schema.hasAnyAliasInfo() INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/aten/src/ATen/FunctionalizeFallbackKernel.cpp":32, please report a bug to PyTorch. mutating and aliasing ops should all have codegen'd kernels
2023-01-11T21:01:52.0786659Z 
2023-01-11T21:01:52.0786897Z While executing %broadcast_in_dim_default : [#users=1] = call_function[target=torch.ops.prims.broadcast_in_dim.default](args = (%var_default_1, [1, 512, 1], [0, 1]), kwargs = {})
2023-01-11T21:01:52.0786970Z Original traceback:
2023-01-11T21:01:52.0787037Z Module stack: {}
2023-01-11T21:01:52.0787150Z   File "inductor/test_torchinductor.py", line 4724, in forward
2023-01-11T21:01:52.0787229Z     var_default_1, [1, 512, 1], [0, 1]
2023-01-11T21:01:52.0787348Z  |   File "inductor/test_torchinductor.py", line 318, in run
2023-01-11T21:01:52.0787428Z     return model(*ex, **kwargs)
2023-01-11T21:01:52.0787435Z 
2023-01-11T21:01:52.0787692Z [2023-01-11 20:59:24,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440
2023-01-11T21:01:52.0787697Z 
2023-01-11T21:01:52.0787789Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0787858Z import torch
2023-01-11T21:01:52.0787914Z import random
2023-01-11T21:01:52.0788027Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0788145Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0788150Z 
2023-01-11T21:01:52.0788226Z aten = torch.ops.aten
2023-01-11T21:01:52.0788356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0788445Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0788450Z 
2023-01-11T21:01:52.0788454Z 
2023-01-11T21:01:52.0788585Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0788787Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0788903Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0789020Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:52.0789124Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0789249Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0789351Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.0789451Z                        const float* __restrict__ in_ptr3,
2023-01-11T21:01:52.0789549Z                        const float* __restrict__ in_ptr4,
2023-01-11T21:01:52.0789649Z                        const float* __restrict__ in_ptr5,
2023-01-11T21:01:52.0789733Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0789827Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0789920Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.0790011Z                        float* __restrict__ out_ptr5)
2023-01-11T21:01:52.0790074Z {
2023-01-11T21:01:52.0790159Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:52.0790241Z     auto out_ptr4 = in_out_ptr1;
2023-01-11T21:01:52.0790303Z     #pragma GCC ivdep
2023-01-11T21:01:52.0790383Z     for(long i0=0; i0<512; i0+=1)
2023-01-11T21:01:52.0790442Z     {
2023-01-11T21:01:52.0790506Z         {
2023-01-11T21:01:52.0790697Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0790773Z             float tmp1 = 0;
2023-01-11T21:01:52.0790891Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.0790966Z             for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:52.0791028Z             {
2023-01-11T21:01:52.0791165Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2023-01-11T21:01:52.0791243Z                 tmp1_vec += tmp0;
2023-01-11T21:01:52.0791305Z             }
2023-01-11T21:01:52.0791495Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.0791617Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.0791703Z             for(long i1=1024; i1<1024; i1+=1)
2023-01-11T21:01:52.0791754Z             {
2023-01-11T21:01:52.0791849Z                 auto tmp0 = in_ptr0[i1 + (1024*i0)];
2023-01-11T21:01:52.0791922Z                 tmp1 += tmp0;
2023-01-11T21:01:52.0791982Z             }
2023-01-11T21:01:52.0792060Z             out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0792120Z         }
2023-01-11T21:01:52.0792178Z     }
2023-01-11T21:01:52.0792241Z     #pragma GCC ivdep
2023-01-11T21:01:52.0792319Z     for(long i0=0; i0<512; i0+=1)
2023-01-11T21:01:52.0792382Z     {
2023-01-11T21:01:52.0792442Z         {
2023-01-11T21:01:52.0792623Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0792698Z             float tmp6 = 0;
2023-01-11T21:01:52.0792815Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0792955Z             for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:52.0793020Z             {
2023-01-11T21:01:52.0793163Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2023-01-11T21:01:52.0793287Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:52.0793422Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2023-01-11T21:01:52.0793511Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0793646Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0793732Z                 auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0793797Z                 tmp6_vec += tmp5;
2023-01-11T21:01:52.0793859Z             }
2023-01-11T21:01:52.0794047Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0794165Z             #pragma omp simd simdlen(4)  reduction(+:tmp6)
2023-01-11T21:01:52.0794293Z             for(long i1=1024; i1<1024; i1+=1)
2023-01-11T21:01:52.0794356Z             {
2023-01-11T21:01:52.0794451Z                 auto tmp0 = in_ptr0[i1 + (1024*i0)];
2023-01-11T21:01:52.0794552Z                 auto tmp1 = out_ptr0[i0];
2023-01-11T21:01:52.0794654Z                 auto tmp2 = static_cast<float>(1024);
2023-01-11T21:01:52.0794737Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0794864Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0794948Z                 auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0795020Z                 tmp6 += tmp5;
2023-01-11T21:01:52.0795082Z             }
2023-01-11T21:01:52.0795147Z             out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.0795208Z         }
2023-01-11T21:01:52.0795268Z     }
2023-01-11T21:01:52.0795346Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0795406Z     {
2023-01-11T21:01:52.0795536Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0795668Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2023-01-11T21:01:52.0795737Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0795822Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0795881Z     }
2023-01-11T21:01:52.0795968Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0796046Z     for(long i0=512; i0<512; i0+=1)
2023-01-11T21:01:52.0796105Z     {
2023-01-11T21:01:52.0796183Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:52.0796269Z         auto tmp1 = static_cast<float>(1024);
2023-01-11T21:01:52.0796348Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0796425Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0796483Z     }
2023-01-11T21:01:52.0796557Z     #pragma GCC ivdep
2023-01-11T21:01:52.0796634Z     for(long i0=0; i0<512; i0+=1)
2023-01-11T21:01:52.0796692Z     {
2023-01-11T21:01:52.0796740Z         {
2023-01-11T21:01:52.0796923Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0797001Z             float tmp9 = 0;
2023-01-11T21:01:52.0797118Z             auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2023-01-11T21:01:52.0797205Z             for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:52.0797267Z             {
2023-01-11T21:01:52.0797403Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (1024*i0));
2023-01-11T21:01:52.0797523Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i0]);
2023-01-11T21:01:52.0797629Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr3[i0]);
2023-01-11T21:01:52.0797761Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i1);
2023-01-11T21:01:52.0797890Z                 auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i1);
2023-01-11T21:01:52.0798024Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:52.0798107Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:52.0798193Z                 auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.0798274Z                 auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:52.0798375Z                 tmp8.store(out_ptr2 + (8*i1) + (1024*i0));
2023-01-11T21:01:52.0798442Z                 tmp9_vec += tmp8;
2023-01-11T21:01:52.0798504Z             }
2023-01-11T21:01:52.0798695Z             tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2023-01-11T21:01:52.0798810Z             #pragma omp simd simdlen(4)  reduction(+:tmp9)
2023-01-11T21:01:52.0798901Z             for(long i1=1024; i1<1024; i1+=1)
2023-01-11T21:01:52.0798961Z             {
2023-01-11T21:01:52.0799058Z                 auto tmp0 = in_ptr1[i1 + (1024*i0)];
2023-01-11T21:01:52.0799130Z                 auto tmp1 = in_ptr2[i0];
2023-01-11T21:01:52.0799211Z                 auto tmp3 = in_ptr3[i0];
2023-01-11T21:01:52.0799291Z                 auto tmp5 = in_ptr4[i1];
2023-01-11T21:01:52.0799373Z                 auto tmp7 = in_ptr5[i1];
2023-01-11T21:01:52.0799532Z                 auto tmp2 = tmp0 - tmp1;
2023-01-11T21:01:52.0799612Z                 auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:52.0799693Z                 auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.0799790Z                 auto tmp8 = tmp6 + tmp7;
2023-01-11T21:01:52.0799884Z                 out_ptr2[i1 + (1024*i0)] = tmp8;
2023-01-11T21:01:52.0799956Z                 tmp9 += tmp8;
2023-01-11T21:01:52.0800017Z             }
2023-01-11T21:01:52.0800093Z             out_ptr3[i0] = tmp9;
2023-01-11T21:01:52.0800152Z         }
2023-01-11T21:01:52.0800211Z     }
2023-01-11T21:01:52.0800272Z     #pragma GCC ivdep
2023-01-11T21:01:52.0800349Z     for(long i0=0; i0<512; i0+=1)
2023-01-11T21:01:52.0800408Z     {
2023-01-11T21:01:52.0800467Z         {
2023-01-11T21:01:52.0800650Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.0800724Z             float tmp6 = 0;
2023-01-11T21:01:52.0800844Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.0800905Z             float tmp7 = 0;
2023-01-11T21:01:52.0801020Z             auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:52.0801106Z             for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:52.0801167Z             {
2023-01-11T21:01:52.0801309Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i1) + (1024*i0));
2023-01-11T21:01:52.0801433Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2023-01-11T21:01:52.0801563Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2023-01-11T21:01:52.0801647Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0801763Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0801849Z                 auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.0801924Z                 tmp6_vec += tmp5;
2023-01-11T21:01:52.0801999Z                 tmp7_vec += tmp0;
2023-01-11T21:01:52.0802061Z             }
2023-01-11T21:01:52.0802254Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.0802444Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:52.0802581Z             #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:52.0802656Z             for(long i1=1024; i1<1024; i1+=1)
2023-01-11T21:01:52.0802717Z             {
2023-01-11T21:01:52.0802816Z                 auto tmp0 = out_ptr2[i1 + (1024*i0)];
2023-01-11T21:01:52.0802901Z                 auto tmp1 = out_ptr3[i0];
2023-01-11T21:01:52.0803002Z                 auto tmp2 = static_cast<float>(1024);
2023-01-11T21:01:52.0803086Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.0803212Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.0803283Z                 auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.0803514Z                 tmp6 += tmp5;
2023-01-11T21:01:52.0803622Z                 tmp7 += tmp0;
2023-01-11T21:01:52.0803718Z             }
2023-01-11T21:01:52.0803806Z             out_ptr4[i0] = tmp6;
2023-01-11T21:01:52.0803886Z             out_ptr5[i0] = tmp7;
2023-01-11T21:01:52.0803946Z         }
2023-01-11T21:01:52.0803994Z     }
2023-01-11T21:01:52.0804071Z     for(long i0=0; i0<64; i0+=1)
2023-01-11T21:01:52.0804131Z     {
2023-01-11T21:01:52.0804263Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i0);
2023-01-11T21:01:52.0804397Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2023-01-11T21:01:52.0804478Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0804677Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2023-01-11T21:01:52.0804757Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0804836Z         tmp4.store(in_out_ptr1 + 8*i0);
2023-01-11T21:01:52.0804894Z     }
2023-01-11T21:01:52.0805057Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0805136Z     for(long i0=512; i0<512; i0+=1)
2023-01-11T21:01:52.0805195Z     {
2023-01-11T21:01:52.0805275Z         auto tmp0 = out_ptr4[i0];
2023-01-11T21:01:52.0805401Z         auto tmp1 = static_cast<float>(1024);
2023-01-11T21:01:52.0805482Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.0805629Z         auto tmp3 = static_cast<float>(1e-05);
2023-01-11T21:01:52.0805708Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0805788Z         in_out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.0805847Z     }
2023-01-11T21:01:52.0805904Z }
2023-01-11T21:01:52.0805968Z ''')
2023-01-11T21:01:52.0805974Z 
2023-01-11T21:01:52.0805991Z 
2023-01-11T21:01:52.0806064Z async_compile.wait(globals())
2023-01-11T21:01:52.0806135Z del async_compile
2023-01-11T21:01:52.0806140Z 
2023-01-11T21:01:52.0806210Z def call(args):
2023-01-11T21:01:52.0806316Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2023-01-11T21:01:52.0806386Z     args.clear()
2023-01-11T21:01:52.0806597Z     buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0806795Z     buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0806868Z     buf2 = buf1; del buf1  # reuse
2023-01-11T21:01:52.0807083Z     buf3 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0807288Z     buf4 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0807484Z     buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0807677Z     buf6 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0807789Z     buf7 = as_strided(buf5, (1, 512, 1), (512, 1, 1)); del buf5  # reuse
2023-01-11T21:01:52.0808157Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()))
2023-01-11T21:01:52.0808227Z     del arg0_1
2023-01-11T21:01:52.0808293Z     del arg1_1
2023-01-11T21:01:52.0808346Z     del arg2_1
2023-01-11T21:01:52.0808410Z     del arg3_1
2023-01-11T21:01:52.0808473Z     del arg4_1
2023-01-11T21:01:52.0808536Z     del arg5_1
2023-01-11T21:01:52.0808615Z     return (buf2, buf6, buf7, )
2023-01-11T21:01:52.0808620Z 
2023-01-11T21:01:52.0808624Z 
2023-01-11T21:01:52.0808698Z if __name__ == "__main__":
2023-01-11T21:01:52.0808813Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0808923Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0809117Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0809309Z     arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0809527Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0809739Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0809944Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0810146Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0810286Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2023-01-11T21:01:52.0810542Z [2023-01-11 20:59:26,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440
2023-01-11T21:01:52.0810559Z 
2023-01-11T21:01:52.0810612Z ok (1.866s)
2023-01-11T21:01:52.0810774Z   test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... skip: TODO: debug this with asan (0.001s)
2023-01-11T21:01:52.0810919Z   test_to_device_constant_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2023-01-11T21:01:52.0811079Z   test_to_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2023-01-11T21:01:52.0811544Z   test_to_dtype_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0811671Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0811929Z [2023-01-11 20:59:26,562] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441
2023-01-11T21:01:52.0812191Z [2023-01-11 20:59:28,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441
2023-01-11T21:01:52.0812196Z 
2023-01-11T21:01:52.0812285Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0812343Z import torch
2023-01-11T21:01:52.0812411Z import random
2023-01-11T21:01:52.0812524Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0812641Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0812646Z 
2023-01-11T21:01:52.0812724Z aten = torch.ops.aten
2023-01-11T21:01:52.0812854Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0812944Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0812949Z 
2023-01-11T21:01:52.0812952Z 
2023-01-11T21:01:52.0813083Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0813273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0813390Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.0813488Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0813584Z                        bool* __restrict__ out_ptr1)
2023-01-11T21:01:52.0813643Z {
2023-01-11T21:01:52.0813719Z     #pragma GCC ivdep
2023-01-11T21:01:52.0813797Z     for(long i0=0; i0<40; i0+=1)
2023-01-11T21:01:52.0813844Z     {
2023-01-11T21:01:52.0813904Z         {
2023-01-11T21:01:52.0813966Z             {
2023-01-11T21:01:52.0814054Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0814153Z                 auto tmp1 = static_cast<double>(1);
2023-01-11T21:01:52.0814237Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0814329Z                 auto tmp3 = static_cast<float>(tmp2);
2023-01-11T21:01:52.0814430Z                 auto tmp4 = static_cast<bool>(tmp0);
2023-01-11T21:01:52.0814509Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.0814586Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.0814646Z             }
2023-01-11T21:01:52.0814706Z         }
2023-01-11T21:01:52.0814761Z     }
2023-01-11T21:01:52.0814807Z }
2023-01-11T21:01:52.0814884Z ''')
2023-01-11T21:01:52.0814889Z 
2023-01-11T21:01:52.0814893Z 
2023-01-11T21:01:52.0814980Z async_compile.wait(globals())
2023-01-11T21:01:52.0815054Z del async_compile
2023-01-11T21:01:52.0815059Z 
2023-01-11T21:01:52.0815127Z def call(args):
2023-01-11T21:01:52.0815199Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0815266Z     args.clear()
2023-01-11T21:01:52.0815469Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0815655Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0815816Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0815909Z     return (arg0_1, buf0, arg1_1, buf1, )
2023-01-11T21:01:52.0815914Z 
2023-01-11T21:01:52.0815918Z 
2023-01-11T21:01:52.0815993Z if __name__ == "__main__":
2023-01-11T21:01:52.0816105Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0816225Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0816427Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0816656Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.0816756Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0816761Z 
2023-01-11T21:01:52.0816852Z ok (1.600s)
2023-01-11T21:01:52.0817285Z   test_topk_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0817410Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0817670Z [2023-01-11 20:59:28,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442
2023-01-11T21:01:52.0817885Z [2023-01-11 20:59:28,097] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2023-01-11T21:01:52.0818148Z [2023-01-11 20:59:28,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442
2023-01-11T21:01:52.0818154Z 
2023-01-11T21:01:52.0818246Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0818314Z import torch
2023-01-11T21:01:52.0818371Z import random
2023-01-11T21:01:52.0818486Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0818604Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0818609Z 
2023-01-11T21:01:52.0818684Z aten = torch.ops.aten
2023-01-11T21:01:52.0818817Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0818908Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0818912Z 
2023-01-11T21:01:52.0818917Z 
2023-01-11T21:01:52.0819001Z async_compile.wait(globals())
2023-01-11T21:01:52.0819073Z del async_compile
2023-01-11T21:01:52.0819077Z 
2023-01-11T21:01:52.0819134Z def call(args):
2023-01-11T21:01:52.0819201Z     arg0_1, = args
2023-01-11T21:01:52.0819271Z     args.clear()
2023-01-11T21:01:52.0819353Z     buf0 = aten.topk(arg0_1, 2)
2023-01-11T21:01:52.0819420Z     del arg0_1
2023-01-11T21:01:52.0819485Z     buf1 = buf0[0]
2023-01-11T21:01:52.0819594Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2023-01-11T21:01:52.0819648Z     buf2 = buf0[1]
2023-01-11T21:01:52.0819749Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2023-01-11T21:01:52.0819812Z     del buf0
2023-01-11T21:01:52.0819887Z     return (buf1, buf2, )
2023-01-11T21:01:52.0819892Z 
2023-01-11T21:01:52.0819896Z 
2023-01-11T21:01:52.0819970Z if __name__ == "__main__":
2023-01-11T21:01:52.0820080Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0820201Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0820411Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0820505Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0820512Z 
2023-01-11T21:01:52.0820576Z ok (0.027s)
2023-01-11T21:01:52.0821021Z   test_transpose_add_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0821147Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0821403Z [2023-01-11 20:59:28,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443
2023-01-11T21:01:52.0821665Z [2023-01-11 20:59:29,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443
2023-01-11T21:01:52.0821671Z 
2023-01-11T21:01:52.0821762Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0821830Z import torch
2023-01-11T21:01:52.0821896Z import random
2023-01-11T21:01:52.0822025Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0822143Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0822148Z 
2023-01-11T21:01:52.0822224Z aten = torch.ops.aten
2023-01-11T21:01:52.0822383Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0822472Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0822477Z 
2023-01-11T21:01:52.0822481Z 
2023-01-11T21:01:52.0822611Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0822814Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0822935Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0823026Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0823122Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0823183Z {
2023-01-11T21:01:52.0823257Z     #pragma GCC ivdep
2023-01-11T21:01:52.0823337Z     for(long i0=0; i0<32; i0+=1)
2023-01-11T21:01:52.0823398Z     {
2023-01-11T21:01:52.0823473Z         #pragma GCC ivdep
2023-01-11T21:01:52.0823540Z         for(long i1=0; i1<16; i1+=1)
2023-01-11T21:01:52.0823602Z         {
2023-01-11T21:01:52.0823662Z             {
2023-01-11T21:01:52.0823725Z                 {
2023-01-11T21:01:52.0823824Z                     auto tmp0 = in_ptr0[i0 + (32*i1)];
2023-01-11T21:01:52.0823917Z                     auto tmp1 = in_ptr1[i1 + (16*i0)];
2023-01-11T21:01:52.0824006Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0824084Z                     out_ptr0[i0 + (32*i1)] = tmp2;
2023-01-11T21:01:52.0824146Z                 }
2023-01-11T21:01:52.0824207Z             }
2023-01-11T21:01:52.0824267Z         }
2023-01-11T21:01:52.0824325Z     }
2023-01-11T21:01:52.0824384Z }
2023-01-11T21:01:52.0824448Z ''')
2023-01-11T21:01:52.0824454Z 
2023-01-11T21:01:52.0824473Z 
2023-01-11T21:01:52.0824548Z async_compile.wait(globals())
2023-01-11T21:01:52.0824617Z del async_compile
2023-01-11T21:01:52.0824624Z 
2023-01-11T21:01:52.0824692Z def call(args):
2023-01-11T21:01:52.0824765Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0824834Z     args.clear()
2023-01-11T21:01:52.0825030Z     buf0 = empty_strided((32, 16), (1, 32), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0825196Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0825250Z     del arg0_1
2023-01-11T21:01:52.0825312Z     del arg1_1
2023-01-11T21:01:52.0825382Z     return (buf0, )
2023-01-11T21:01:52.0825387Z 
2023-01-11T21:01:52.0825391Z 
2023-01-11T21:01:52.0825463Z if __name__ == "__main__":
2023-01-11T21:01:52.0825574Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0825693Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0825888Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0826085Z     arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0826187Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0826192Z 
2023-01-11T21:01:52.0826258Z ok (1.530s)
2023-01-11T21:01:52.0826698Z   test_transpose_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0826820Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0827079Z [2023-01-11 20:59:29,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444
2023-01-11T21:01:52.0827340Z [2023-01-11 20:59:31,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444
2023-01-11T21:01:52.0827345Z 
2023-01-11T21:01:52.0827435Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0827543Z import torch
2023-01-11T21:01:52.0827610Z import random
2023-01-11T21:01:52.0827710Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0827828Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0827860Z 
2023-01-11T21:01:52.0827938Z aten = torch.ops.aten
2023-01-11T21:01:52.0828070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0828159Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0828165Z 
2023-01-11T21:01:52.0828169Z 
2023-01-11T21:01:52.0828301Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0828504Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0828622Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0828712Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0828809Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0828906Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0828966Z {
2023-01-11T21:01:52.0829044Z     #pragma GCC ivdep
2023-01-11T21:01:52.0829122Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0829181Z     {
2023-01-11T21:01:52.0829246Z         #pragma GCC ivdep
2023-01-11T21:01:52.0829325Z         for(long i1=0; i1<8; i1+=1)
2023-01-11T21:01:52.0829385Z         {
2023-01-11T21:01:52.0829447Z             {
2023-01-11T21:01:52.0829507Z                 {
2023-01-11T21:01:52.0829602Z                     auto tmp0 = in_ptr0[i0 + (8*i1)];
2023-01-11T21:01:52.0829695Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2023-01-11T21:01:52.0829774Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0829863Z                     out_ptr0[i0 + (8*i1)] = tmp2;
2023-01-11T21:01:52.0829925Z                 }
2023-01-11T21:01:52.0829986Z             }
2023-01-11T21:01:52.0830043Z         }
2023-01-11T21:01:52.0830101Z     }
2023-01-11T21:01:52.0830165Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0830226Z     {
2023-01-11T21:01:52.0830358Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0830486Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0830569Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0830696Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2023-01-11T21:01:52.0830775Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0830860Z         tmp4.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0830907Z     }
2023-01-11T21:01:52.0830990Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0831065Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0831122Z     {
2023-01-11T21:01:52.0831200Z         auto tmp0 = in_ptr1[i0];
2023-01-11T21:01:52.0831292Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:52.0831370Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0831454Z         auto tmp3 = static_cast<float>(10);
2023-01-11T21:01:52.0831535Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0831609Z         out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.0831667Z     }
2023-01-11T21:01:52.0831724Z }
2023-01-11T21:01:52.0831801Z ''')
2023-01-11T21:01:52.0831806Z 
2023-01-11T21:01:52.0831810Z 
2023-01-11T21:01:52.0831898Z async_compile.wait(globals())
2023-01-11T21:01:52.0831957Z del async_compile
2023-01-11T21:01:52.0831961Z 
2023-01-11T21:01:52.0832032Z def call(args):
2023-01-11T21:01:52.0832104Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0832171Z     args.clear()
2023-01-11T21:01:52.0832367Z     buf0 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0832557Z     buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0832743Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0832797Z     del arg0_1
2023-01-11T21:01:52.0832949Z     del arg1_1
2023-01-11T21:01:52.0833065Z     return (buf0, buf1, )
2023-01-11T21:01:52.0833070Z 
2023-01-11T21:01:52.0833074Z 
2023-01-11T21:01:52.0833151Z if __name__ == "__main__":
2023-01-11T21:01:52.0833265Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0833417Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0833618Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0833811Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0833912Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0833918Z 
2023-01-11T21:01:52.0833982Z ok (1.543s)
2023-01-11T21:01:52.0834332Z   test_transposed_propagates_cpu (__main__.CpuTests) ... [2023-01-11 20:59:31,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445
2023-01-11T21:01:52.0834599Z [2023-01-11 20:59:32,687] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445
2023-01-11T21:01:52.0834606Z 
2023-01-11T21:01:52.0834698Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0834765Z import torch
2023-01-11T21:01:52.0834833Z import random
2023-01-11T21:01:52.0834947Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0835056Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0835062Z 
2023-01-11T21:01:52.0835142Z aten = torch.ops.aten
2023-01-11T21:01:52.0835274Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0835362Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0835367Z 
2023-01-11T21:01:52.0835372Z 
2023-01-11T21:01:52.0835502Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0835702Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0835818Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0835918Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.0836006Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.0836065Z {
2023-01-11T21:01:52.0836142Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0836202Z     {
2023-01-11T21:01:52.0836335Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0836461Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.0836541Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0836614Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0836673Z     }
2023-01-11T21:01:52.0836760Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0836839Z     for(long i0=64; i0<64; i0+=1)
2023-01-11T21:01:52.0836897Z     {
2023-01-11T21:01:52.0836975Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0837052Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.0837117Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0837191Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0837249Z     }
2023-01-11T21:01:52.0837309Z }
2023-01-11T21:01:52.0837387Z ''')
2023-01-11T21:01:52.0837392Z 
2023-01-11T21:01:52.0837396Z 
2023-01-11T21:01:52.0837480Z async_compile.wait(globals())
2023-01-11T21:01:52.0837548Z del async_compile
2023-01-11T21:01:52.0837553Z 
2023-01-11T21:01:52.0837609Z def call(args):
2023-01-11T21:01:52.0837683Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0837751Z     args.clear()
2023-01-11T21:01:52.0837959Z     buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0838119Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.0838185Z     del arg0_1
2023-01-11T21:01:52.0838247Z     del arg1_1
2023-01-11T21:01:52.0838304Z     return (buf0, )
2023-01-11T21:01:52.0838321Z 
2023-01-11T21:01:52.0838325Z 
2023-01-11T21:01:52.0838387Z if __name__ == "__main__":
2023-01-11T21:01:52.0838499Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0838619Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0838859Z     arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0839057Z     arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0839195Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0839200Z 
2023-01-11T21:01:52.0839265Z ok (1.516s)
2023-01-11T21:01:52.0839398Z   test_triton_conv_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2023-01-11T21:01:52.0839710Z   test_triton_mm2_cpu (__main__.CpuTests) ... [2023-01-11 20:59:32,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446
2023-01-11T21:01:52.0839974Z [2023-01-11 20:59:34,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446
2023-01-11T21:01:52.0839979Z 
2023-01-11T21:01:52.0840070Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0840137Z import torch
2023-01-11T21:01:52.0840206Z import random
2023-01-11T21:01:52.0840322Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0840439Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0840444Z 
2023-01-11T21:01:52.0840520Z aten = torch.ops.aten
2023-01-11T21:01:52.0840641Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0840734Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0840739Z 
2023-01-11T21:01:52.0840743Z 
2023-01-11T21:01:52.0840875Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0841076Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0841193Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2023-01-11T21:01:52.0841252Z {
2023-01-11T21:01:52.0841331Z     for(long i0=0; i0<131072; i0+=1)
2023-01-11T21:01:52.0841391Z     {
2023-01-11T21:01:52.0841511Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0841634Z         auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2023-01-11T21:01:52.0841723Z         tmp1.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0841781Z     }
2023-01-11T21:01:52.0841867Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0841954Z     for(long i0=1048576; i0<1048576; i0+=1)
2023-01-11T21:01:52.0842015Z     {
2023-01-11T21:01:52.0842087Z         auto tmp0 = in_out_ptr0[i0];
2023-01-11T21:01:52.0842168Z         auto tmp1 = tmp0 * (tmp0>0);
2023-01-11T21:01:52.0842244Z         in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0842302Z     }
2023-01-11T21:01:52.0842360Z }
2023-01-11T21:01:52.0842434Z ''')
2023-01-11T21:01:52.0842439Z 
2023-01-11T21:01:52.0842443Z 
2023-01-11T21:01:52.0842527Z async_compile.wait(globals())
2023-01-11T21:01:52.0842585Z del async_compile
2023-01-11T21:01:52.0842590Z 
2023-01-11T21:01:52.0842657Z def call(args):
2023-01-11T21:01:52.0842728Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.0842798Z     args.clear()
2023-01-11T21:01:52.0843004Z     buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0843101Z     aten.mm.out(arg0_1, arg1_1, out=buf0)
2023-01-11T21:01:52.0843166Z     del arg0_1
2023-01-11T21:01:52.0843218Z     del arg1_1
2023-01-11T21:01:52.0843300Z     buf1 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0843559Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0843664Z     return (buf1, )
2023-01-11T21:01:52.0843670Z 
2023-01-11T21:01:52.0843677Z 
2023-01-11T21:01:52.0843754Z if __name__ == "__main__":
2023-01-11T21:01:52.0843865Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0843984Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0844180Z     arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0844380Z     arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0844494Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.0844499Z 
2023-01-11T21:01:52.0844619Z ok (1.586s)
2023-01-11T21:01:52.0845098Z   test_triu_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0845227Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0845487Z [2023-01-11 20:59:34,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447
2023-01-11T21:01:52.0845748Z [2023-01-11 20:59:35,906] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447
2023-01-11T21:01:52.0845754Z 
2023-01-11T21:01:52.0845844Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0845911Z import torch
2023-01-11T21:01:52.0845967Z import random
2023-01-11T21:01:52.0846079Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0846200Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0846205Z 
2023-01-11T21:01:52.0846282Z aten = torch.ops.aten
2023-01-11T21:01:52.0846416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0846505Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0846510Z 
2023-01-11T21:01:52.0846514Z 
2023-01-11T21:01:52.0846646Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0846850Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0846955Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0847053Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0847149Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0847241Z                        float* __restrict__ out_ptr2)
2023-01-11T21:01:52.0847300Z {
2023-01-11T21:01:52.0847375Z     #pragma GCC ivdep
2023-01-11T21:01:52.0847455Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0847502Z     {
2023-01-11T21:01:52.0847578Z         #pragma GCC ivdep
2023-01-11T21:01:52.0847658Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.0847720Z         {
2023-01-11T21:01:52.0847799Z             #pragma GCC ivdep
2023-01-11T21:01:52.0847882Z             for(long i2=0; i2<10; i2+=1)
2023-01-11T21:01:52.0847943Z             {
2023-01-11T21:01:52.0847993Z                 {
2023-01-11T21:01:52.0848061Z                     {
2023-01-11T21:01:52.0848169Z                         auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)];
2023-01-11T21:01:52.0848350Z                         auto tmp0 = static_cast<int>((-1) + i2 + ((-1)*i1));
2023-01-11T21:01:52.0848453Z                         auto tmp1 = static_cast<int>(0);
2023-01-11T21:01:52.0848545Z                         auto tmp2 = tmp0 >= tmp1;
2023-01-11T21:01:52.0848648Z                         auto tmp4 = static_cast<float>(0);
2023-01-11T21:01:52.0848735Z                         auto tmp5 = tmp2 ? tmp3 : tmp4;
2023-01-11T21:01:52.0848905Z                         auto tmp6 = static_cast<int>(i2 + ((-1)*i1));
2023-01-11T21:01:52.0848998Z                         auto tmp7 = tmp6 >= tmp1;
2023-01-11T21:01:52.0849097Z                         auto tmp8 = tmp7 ? tmp3 : tmp4;
2023-01-11T21:01:52.0849275Z                         auto tmp9 = static_cast<int>((-2) + i2 + ((-1)*i1));
2023-01-11T21:01:52.0849368Z                         auto tmp10 = tmp9 >= tmp1;
2023-01-11T21:01:52.0849466Z                         auto tmp11 = tmp10 ? tmp3 : tmp4;
2023-01-11T21:01:52.0849554Z                         out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5;
2023-01-11T21:01:52.0849651Z                         out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8;
2023-01-11T21:01:52.0849752Z                         out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11;
2023-01-11T21:01:52.0849816Z                     }
2023-01-11T21:01:52.0849877Z                 }
2023-01-11T21:01:52.0849940Z             }
2023-01-11T21:01:52.0849999Z         }
2023-01-11T21:01:52.0850080Z     }
2023-01-11T21:01:52.0850139Z }
2023-01-11T21:01:52.0850217Z ''')
2023-01-11T21:01:52.0850222Z 
2023-01-11T21:01:52.0850226Z 
2023-01-11T21:01:52.0850314Z async_compile.wait(globals())
2023-01-11T21:01:52.0850383Z del async_compile
2023-01-11T21:01:52.0850415Z 
2023-01-11T21:01:52.0850483Z def call(args):
2023-01-11T21:01:52.0850550Z     arg0_1, = args
2023-01-11T21:01:52.0850617Z     args.clear()
2023-01-11T21:01:52.0850813Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0851020Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0851223Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0851407Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2023-01-11T21:01:52.0851473Z     del arg0_1
2023-01-11T21:01:52.0851552Z     return (buf0, buf1, buf2, )
2023-01-11T21:01:52.0851559Z 
2023-01-11T21:01:52.0851563Z 
2023-01-11T21:01:52.0851637Z if __name__ == "__main__":
2023-01-11T21:01:52.0851748Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0851858Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0852064Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0852170Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0852176Z 
2023-01-11T21:01:52.0852240Z ok (1.633s)
2023-01-11T21:01:52.0852676Z   test_unbind_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0852802Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0853064Z [2023-01-11 20:59:35,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448
2023-01-11T21:01:52.0853331Z [2023-01-11 20:59:35,945] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448
2023-01-11T21:01:52.0853336Z 
2023-01-11T21:01:52.0853428Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0853484Z import torch
2023-01-11T21:01:52.0853551Z import random
2023-01-11T21:01:52.0853663Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0853781Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0853787Z 
2023-01-11T21:01:52.0853863Z aten = torch.ops.aten
2023-01-11T21:01:52.0853993Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0854080Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0854085Z 
2023-01-11T21:01:52.0854089Z 
2023-01-11T21:01:52.0854174Z async_compile.wait(globals())
2023-01-11T21:01:52.0854235Z del async_compile
2023-01-11T21:01:52.0854240Z 
2023-01-11T21:01:52.0854306Z def call(args):
2023-01-11T21:01:52.0854371Z     arg0_1, = args
2023-01-11T21:01:52.0854439Z     args.clear()
2023-01-11T21:01:52.0854714Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2023-01-11T21:01:52.0854720Z 
2023-01-11T21:01:52.0854724Z 
2023-01-11T21:01:52.0854797Z if __name__ == "__main__":
2023-01-11T21:01:52.0854906Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0855027Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0855229Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0855323Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0855359Z 
2023-01-11T21:01:52.0855425Z ok (0.037s)
2023-01-11T21:01:52.0855894Z   test_unroll_small_reduction_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0856023Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0856281Z [2023-01-11 20:59:35,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 449
2023-01-11T21:01:52.0856547Z [2023-01-11 20:59:37,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 449
2023-01-11T21:01:52.0856943Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0857070Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0857324Z [2023-01-11 20:59:37,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 450
2023-01-11T21:01:52.0857329Z 
2023-01-11T21:01:52.0857419Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0857474Z import torch
2023-01-11T21:01:52.0857541Z import random
2023-01-11T21:01:52.0857650Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0857769Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0857774Z 
2023-01-11T21:01:52.0857851Z aten = torch.ops.aten
2023-01-11T21:01:52.0857983Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0858074Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0858081Z 
2023-01-11T21:01:52.0858085Z 
2023-01-11T21:01:52.0858215Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0858403Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0858520Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0858621Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0858715Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:52.0858810Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0858901Z                        long* __restrict__ out_ptr3,
2023-01-11T21:01:52.0858993Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:52.0859083Z                        bool* __restrict__ out_ptr5,
2023-01-11T21:01:52.0859159Z                        bool* __restrict__ out_ptr6,
2023-01-11T21:01:52.0859245Z                        long* __restrict__ out_ptr7,
2023-01-11T21:01:52.0859333Z                        long* __restrict__ out_ptr8,
2023-01-11T21:01:52.0859428Z                        float* __restrict__ out_ptr9,
2023-01-11T21:01:52.0859527Z                        float* __restrict__ out_ptr10)
2023-01-11T21:01:52.0859585Z {
2023-01-11T21:01:52.0859661Z     #pragma GCC ivdep
2023-01-11T21:01:52.0859727Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0859787Z     {
2023-01-11T21:01:52.0859848Z         {
2023-01-11T21:01:52.0859909Z             {
2023-01-11T21:01:52.0859997Z                 auto tmp0 = in_ptr0[3*i0];
2023-01-11T21:01:52.0860087Z                 auto tmp1 = in_ptr0[1 + (3*i0)];
2023-01-11T21:01:52.0860167Z                 auto tmp3 = in_ptr0[2 + (3*i0)];
2023-01-11T21:01:52.0860293Z                 auto tmp2 = (tmp1 != tmp1) ? tmp1 : std::min(tmp0, tmp1);
2023-01-11T21:01:52.0860415Z                 auto tmp4 = (tmp3 != tmp3) ? tmp3 : std::min(tmp2, tmp3);
2023-01-11T21:01:52.0860514Z                 auto tmp5 = static_cast<long>(0);
2023-01-11T21:01:52.0860608Z                 auto tmp6 = static_cast<long>(1);
2023-01-11T21:01:52.0860723Z                 auto tmp7 = tmp1 < tmp0;
2023-01-11T21:01:52.0860816Z                 auto tmp8 = tmp7 ? tmp6 : tmp5;
2023-01-11T21:01:52.0860910Z                 auto tmp9 = static_cast<long>(2);
2023-01-11T21:01:52.0861010Z                 auto tmp10 = tmp3 < tmp2;
2023-01-11T21:01:52.0861104Z                 auto tmp11 = tmp10 ? tmp9 : tmp8;
2023-01-11T21:01:52.0861226Z                 auto tmp12 = (tmp1 != tmp1) ? tmp1 : std::max(tmp0, tmp1);
2023-01-11T21:01:52.0861346Z                 auto tmp13 = (tmp3 != tmp3) ? tmp3 : std::max(tmp12, tmp3);
2023-01-11T21:01:52.0861431Z                 auto tmp14 = tmp1 > tmp0;
2023-01-11T21:01:52.0861522Z                 auto tmp15 = tmp14 ? tmp6 : tmp5;
2023-01-11T21:01:52.0861606Z                 auto tmp16 = tmp3 > tmp12;
2023-01-11T21:01:52.0861698Z                 auto tmp17 = tmp16 ? tmp9 : tmp15;
2023-01-11T21:01:52.0861770Z                 auto tmp18 = tmp0 + tmp1;
2023-01-11T21:01:52.0861855Z                 auto tmp19 = tmp18 + tmp3;
2023-01-11T21:01:52.0861955Z                 auto tmp20 = static_cast<float>(1);
2023-01-11T21:01:52.0862039Z                 auto tmp21 = tmp0 > tmp20;
2023-01-11T21:01:52.0862143Z                 auto tmp22 = static_cast<long>(tmp21);
2023-01-11T21:01:52.0862246Z                 auto tmp23 = static_cast<bool>(tmp22);
2023-01-11T21:01:52.0862330Z                 auto tmp24 = tmp1 > tmp20;
2023-01-11T21:01:52.0862417Z                 auto tmp25 = static_cast<long>(tmp24);
2023-01-11T21:01:52.0862515Z                 auto tmp26 = static_cast<bool>(tmp25);
2023-01-11T21:01:52.0862605Z                 auto tmp27 = tmp23 || tmp26;
2023-01-11T21:01:52.0862691Z                 auto tmp28 = tmp3 > tmp20;
2023-01-11T21:01:52.0862792Z                 auto tmp29 = static_cast<long>(tmp28);
2023-01-11T21:01:52.0862889Z                 auto tmp30 = static_cast<bool>(tmp29);
2023-01-11T21:01:52.0862978Z                 auto tmp31 = tmp27 || tmp30;
2023-01-11T21:01:52.0863064Z                 auto tmp32 = static_cast<float>(0);
2023-01-11T21:01:52.0863150Z                 auto tmp33 = tmp0 > tmp32;
2023-01-11T21:01:52.0863233Z                 auto tmp34 = tmp33 == 0;
2023-01-11T21:01:52.0863331Z                 auto tmp35 = static_cast<long>(tmp34);
2023-01-11T21:01:52.0863432Z                 auto tmp36 = static_cast<bool>(tmp35);
2023-01-11T21:01:52.0863519Z                 auto tmp37 = tmp1 > tmp32;
2023-01-11T21:01:52.0863602Z                 auto tmp38 = tmp37 == 0;
2023-01-11T21:01:52.0863687Z                 auto tmp39 = static_cast<long>(tmp38);
2023-01-11T21:01:52.0863785Z                 auto tmp40 = static_cast<bool>(tmp39);
2023-01-11T21:01:52.0863874Z                 auto tmp41 = tmp36 || tmp40;
2023-01-11T21:01:52.0863958Z                 auto tmp42 = tmp3 > tmp32;
2023-01-11T21:01:52.0864041Z                 auto tmp43 = tmp42 == 0;
2023-01-11T21:01:52.0864139Z                 auto tmp44 = static_cast<long>(tmp43);
2023-01-11T21:01:52.0864235Z                 auto tmp45 = static_cast<bool>(tmp44);
2023-01-11T21:01:52.0864313Z                 auto tmp46 = tmp41 || tmp45;
2023-01-11T21:01:52.0864400Z                 auto tmp47 = tmp46 == 0;
2023-01-11T21:01:52.0864481Z                 out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.0864561Z                 out_ptr1[i0] = tmp11;
2023-01-11T21:01:52.0864639Z                 out_ptr2[i0] = tmp13;
2023-01-11T21:01:52.0864715Z                 out_ptr3[i0] = tmp17;
2023-01-11T21:01:52.0864788Z                 out_ptr4[i0] = tmp19;
2023-01-11T21:01:52.0864850Z                 out_ptr5[i0] = tmp31;
2023-01-11T21:01:52.0864924Z                 out_ptr6[i0] = tmp47;
2023-01-11T21:01:52.0864998Z                 out_ptr7[i0] = tmp11;
2023-01-11T21:01:52.0865074Z                 out_ptr8[i0] = tmp17;
2023-01-11T21:01:52.0865151Z                 out_ptr9[i0] = tmp4;
2023-01-11T21:01:52.0865229Z                 out_ptr10[i0] = tmp13;
2023-01-11T21:01:52.0865290Z             }
2023-01-11T21:01:52.0865339Z         }
2023-01-11T21:01:52.0865400Z     }
2023-01-11T21:01:52.0865486Z }
2023-01-11T21:01:52.0865562Z ''')
2023-01-11T21:01:52.0865568Z 
2023-01-11T21:01:52.0865573Z 
2023-01-11T21:01:52.0865659Z async_compile.wait(globals())
2023-01-11T21:01:52.0865730Z del async_compile
2023-01-11T21:01:52.0865735Z 
2023-01-11T21:01:52.0865829Z def call(args):
2023-01-11T21:01:52.0865897Z     arg0_1, = args
2023-01-11T21:01:52.0865955Z     args.clear()
2023-01-11T21:01:52.0866148Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0866336Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0866525Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0866708Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0866893Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0867074Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0867242Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0867424Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0867606Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0867791Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0867979Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0868352Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2023-01-11T21:01:52.0868419Z     del arg0_1
2023-01-11T21:01:52.0868546Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2023-01-11T21:01:52.0868553Z 
2023-01-11T21:01:52.0868558Z 
2023-01-11T21:01:52.0868630Z if __name__ == "__main__":
2023-01-11T21:01:52.0868732Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0868853Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0869047Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0869154Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0869158Z 
2023-01-11T21:01:52.0869163Z 
2023-01-11T21:01:52.0869253Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0869319Z import torch
2023-01-11T21:01:52.0869389Z import random
2023-01-11T21:01:52.0869500Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0869608Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0869612Z 
2023-01-11T21:01:52.0869688Z aten = torch.ops.aten
2023-01-11T21:01:52.0869819Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0869913Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0869918Z 
2023-01-11T21:01:52.0869922Z 
2023-01-11T21:01:52.0870054Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0870259Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0870374Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0870476Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0870562Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0870656Z                        long* __restrict__ out_ptr1,
2023-01-11T21:01:52.0870749Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0870840Z                        long* __restrict__ out_ptr3,
2023-01-11T21:01:52.0870934Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:52.0871024Z                        bool* __restrict__ out_ptr5,
2023-01-11T21:01:52.0871112Z                        long* __restrict__ out_ptr7,
2023-01-11T21:01:52.0871229Z                        long* __restrict__ out_ptr8,
2023-01-11T21:01:52.0871310Z                        float* __restrict__ out_ptr9,
2023-01-11T21:01:52.0871406Z                        float* __restrict__ out_ptr10)
2023-01-11T21:01:52.0871493Z {
2023-01-11T21:01:52.0871579Z     auto out_ptr6 = in_out_ptr0;
2023-01-11T21:01:52.0871653Z     #pragma GCC ivdep
2023-01-11T21:01:52.0871730Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0871777Z     {
2023-01-11T21:01:52.0871838Z         {
2023-01-11T21:01:52.0871897Z             {
2023-01-11T21:01:52.0872021Z                 float tmp1 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0872139Z                 struct IndexValue_11 {size_t index; float value;};
2023-01-11T21:01:52.0872271Z                 IndexValue_11 tmp2{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0872407Z                 #pragma omp declare reduction(argmin : struct IndexValue_11 :\
2023-01-11T21:01:52.0872554Z                     omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0872691Z                     omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0872831Z                 	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0873143Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0873260Z                 struct IndexValue_12 {size_t index; float value;};
2023-01-11T21:01:52.0873484Z                 IndexValue_12 tmp4{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0873620Z                 #pragma omp declare reduction(argmax : struct IndexValue_12 :\
2023-01-11T21:01:52.0873765Z                     omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0873909Z                     omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0874144Z                 	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0874209Z                 float tmp5 = 0;
2023-01-11T21:01:52.0874285Z                 bool tmp10 = 0;
2023-01-11T21:01:52.0874357Z                 bool tmp16 = 0;
2023-01-11T21:01:52.0874479Z                 struct IndexValue_13 {size_t index; float value;};
2023-01-11T21:01:52.0874612Z                 IndexValue_13 tmp17{0, std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0874748Z                 #pragma omp declare reduction(argmin : struct IndexValue_13 :\
2023-01-11T21:01:52.0874894Z                     omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0875042Z                     omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0875171Z                 	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0875288Z                 struct IndexValue_14 {size_t index; float value;};
2023-01-11T21:01:52.0875517Z                 IndexValue_14 tmp18{0, -std::numeric_limits<float>::infinity()};
2023-01-11T21:01:52.0875651Z                 #pragma omp declare reduction(argmax : struct IndexValue_14 :\
2023-01-11T21:01:52.0875796Z                     omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2023-01-11T21:01:52.0875939Z                     omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2023-01-11T21:01:52.0876170Z                 	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2023-01-11T21:01:52.0876293Z                 float tmp19 = std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0876495Z                 float tmp20 = -std::numeric_limits<float>::infinity();
2023-01-11T21:01:52.0876571Z                 for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.0876634Z                 {
2023-01-11T21:01:52.0876699Z                     {
2023-01-11T21:01:52.0876800Z                         auto tmp0 = in_ptr0[i1 + (3*i0)];
2023-01-11T21:01:52.0876938Z                         auto tmp6 = static_cast<float>(1);
2023-01-11T21:01:52.0877029Z                         auto tmp7 = tmp0 > tmp6;
2023-01-11T21:01:52.0877171Z                         auto tmp8 = static_cast<long>(tmp7);
2023-01-11T21:01:52.0877266Z                         auto tmp9 = static_cast<bool>(tmp8);
2023-01-11T21:01:52.0877371Z                         auto tmp11 = static_cast<float>(0);
2023-01-11T21:01:52.0877462Z                         auto tmp12 = tmp0 > tmp11;
2023-01-11T21:01:52.0877555Z                         auto tmp13 = tmp12 == 0;
2023-01-11T21:01:52.0877662Z                         auto tmp14 = static_cast<long>(tmp13);
2023-01-11T21:01:52.0877770Z                         auto tmp15 = static_cast<bool>(tmp14);
2023-01-11T21:01:52.0877870Z                         tmp1 = std::min(tmp1, tmp0);
2023-01-11T21:01:52.0877956Z                         if (tmp2.value > tmp0) {
2023-01-11T21:01:52.0878064Z                             tmp2.index = i1; tmp2.value = tmp0;
2023-01-11T21:01:52.0878132Z                         }
2023-01-11T21:01:52.0878228Z                         tmp3 = std::max(tmp3, tmp0);
2023-01-11T21:01:52.0878317Z                         if (tmp4.value < tmp0) {
2023-01-11T21:01:52.0878428Z                             tmp4.index = i1; tmp4.value = tmp0;
2023-01-11T21:01:52.0878492Z                         }
2023-01-11T21:01:52.0878568Z                         tmp5 += tmp0;
2023-01-11T21:01:52.0878644Z                         tmp10 = tmp10 || tmp9;
2023-01-11T21:01:52.0878732Z                         tmp16 = tmp16 || tmp15;
2023-01-11T21:01:52.0878824Z                         if (tmp17.value > tmp0) {
2023-01-11T21:01:52.0878933Z                             tmp17.index = i1; tmp17.value = tmp0;
2023-01-11T21:01:52.0878997Z                         }
2023-01-11T21:01:52.0879088Z                         if (tmp18.value < tmp0) {
2023-01-11T21:01:52.0879194Z                             tmp18.index = i1; tmp18.value = tmp0;
2023-01-11T21:01:52.0879249Z                         }
2023-01-11T21:01:52.0879347Z                         tmp19 = std::min(tmp19, tmp0);
2023-01-11T21:01:52.0879446Z                         tmp20 = std::max(tmp20, tmp0);
2023-01-11T21:01:52.0879514Z                     }
2023-01-11T21:01:52.0879576Z                 }
2023-01-11T21:01:52.0879656Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0879744Z                 out_ptr1[i0] = tmp2.index;
2023-01-11T21:01:52.0879811Z                 out_ptr2[i0] = tmp3;
2023-01-11T21:01:52.0879897Z                 out_ptr3[i0] = tmp4.index;
2023-01-11T21:01:52.0879974Z                 out_ptr4[i0] = tmp5;
2023-01-11T21:01:52.0880050Z                 out_ptr5[i0] = tmp10;
2023-01-11T21:01:52.0880126Z                 out_ptr6[i0] = tmp16;
2023-01-11T21:01:52.0880217Z                 out_ptr7[i0] = tmp17.index;
2023-01-11T21:01:52.0880305Z                 out_ptr8[i0] = tmp18.index;
2023-01-11T21:01:52.0880371Z                 out_ptr9[i0] = tmp19;
2023-01-11T21:01:52.0880453Z                 out_ptr10[i0] = tmp20;
2023-01-11T21:01:52.0880514Z             }
2023-01-11T21:01:52.0880574Z         }
2023-01-11T21:01:52.0880633Z     }
2023-01-11T21:01:52.0880706Z     #pragma GCC ivdep
2023-01-11T21:01:52.0880783Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0880830Z     {
2023-01-11T21:01:52.0880890Z         {
2023-01-11T21:01:52.0880952Z             {
2023-01-11T21:01:52.0881039Z                 auto tmp0 = out_ptr6[i0];
2023-01-11T21:01:52.0881120Z                 auto tmp1 = tmp0 == 0;
2023-01-11T21:01:52.0881200Z                 in_out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.0881249Z             }
2023-01-11T21:01:52.0881308Z         }
2023-01-11T21:01:52.0881367Z     }
2023-01-11T21:01:52.0881425Z }
2023-01-11T21:01:52.0881501Z ''')
2023-01-11T21:01:52.0881508Z 
2023-01-11T21:01:52.0881512Z 
2023-01-11T21:01:52.0881598Z async_compile.wait(globals())
2023-01-11T21:01:52.0881668Z del async_compile
2023-01-11T21:01:52.0881673Z 
2023-01-11T21:01:52.0881759Z def call(args):
2023-01-11T21:01:52.0881828Z     arg0_1, = args
2023-01-11T21:01:52.0881895Z     args.clear()
2023-01-11T21:01:52.0882086Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0882306Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0882496Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0882682Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0882865Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0883035Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0883212Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.0883538Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0883772Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.0883967Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0884159Z     buf11 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0884245Z     buf7 = buf6; del buf6  # reuse
2023-01-11T21:01:52.0884624Z     kernel_cpp_0(c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()))
2023-01-11T21:01:52.0884692Z     del arg0_1
2023-01-11T21:01:52.0884810Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf7, buf8, buf9, buf10, buf11, )
2023-01-11T21:01:52.0884816Z 
2023-01-11T21:01:52.0884821Z 
2023-01-11T21:01:52.0884894Z if __name__ == "__main__":
2023-01-11T21:01:52.0885006Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0885129Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0885323Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0885429Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0885697Z [2023-01-11 20:59:39,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 450
2023-01-11T21:01:52.0885702Z 
2023-01-11T21:01:52.0885766Z ok (3.226s)
2023-01-11T21:01:52.0885891Z   test_unspec_inputs_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2023-01-11T21:01:52.0886325Z   test_unsqueeze_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0886453Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0886712Z [2023-01-11 20:59:39,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 451
2023-01-11T21:01:52.0886975Z [2023-01-11 20:59:40,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 451
2023-01-11T21:01:52.0886980Z 
2023-01-11T21:01:52.0887074Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0887145Z import torch
2023-01-11T21:01:52.0887214Z import random
2023-01-11T21:01:52.0887327Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0887433Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0887439Z 
2023-01-11T21:01:52.0887513Z aten = torch.ops.aten
2023-01-11T21:01:52.0887644Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0887733Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0887738Z 
2023-01-11T21:01:52.0887743Z 
2023-01-11T21:01:52.0887876Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0888143Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0888258Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0888413Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0888499Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0888593Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0888684Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:52.0888745Z {
2023-01-11T21:01:52.0888823Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0888883Z     {
2023-01-11T21:01:52.0889014Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0889130Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0889212Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0889333Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0889415Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0889493Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:52.0889580Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0889664Z         tmp5.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0889749Z         tmp4.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0889819Z         tmp5.store(out_ptr3 + 8*i0);
2023-01-11T21:01:52.0889879Z     }
2023-01-11T21:01:52.0889965Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0890046Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.0890105Z     {
2023-01-11T21:01:52.0890182Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0890264Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0890343Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0890435Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:52.0890518Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0890595Z         auto tmp5 = tmp0 + tmp3;
2023-01-11T21:01:52.0890669Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.0890741Z         out_ptr1[i0] = tmp5;
2023-01-11T21:01:52.0890802Z         out_ptr2[i0] = tmp4;
2023-01-11T21:01:52.0890873Z         out_ptr3[i0] = tmp5;
2023-01-11T21:01:52.0890932Z     }
2023-01-11T21:01:52.0890990Z }
2023-01-11T21:01:52.0891069Z ''')
2023-01-11T21:01:52.0891075Z 
2023-01-11T21:01:52.0891079Z 
2023-01-11T21:01:52.0891164Z async_compile.wait(globals())
2023-01-11T21:01:52.0891233Z del async_compile
2023-01-11T21:01:52.0891238Z 
2023-01-11T21:01:52.0891293Z def call(args):
2023-01-11T21:01:52.0891360Z     arg0_1, = args
2023-01-11T21:01:52.0891427Z     args.clear()
2023-01-11T21:01:52.0891641Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0891853Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0892062Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0892271Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0892483Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.0892538Z     del arg0_1
2023-01-11T21:01:52.0892623Z     return (buf0, buf1, buf2, buf3, )
2023-01-11T21:01:52.0892629Z 
2023-01-11T21:01:52.0892633Z 
2023-01-11T21:01:52.0892704Z if __name__ == "__main__":
2023-01-11T21:01:52.0892816Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0892937Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0893142Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0893247Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0893251Z 
2023-01-11T21:01:52.0893314Z ok (1.566s)
2023-01-11T21:01:52.0893785Z   test_unsqueeze_inplace_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0893938Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0894182Z [2023-01-11 20:59:40,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 452
2023-01-11T21:01:52.0894444Z [2023-01-11 20:59:42,285] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 452
2023-01-11T21:01:52.0894449Z 
2023-01-11T21:01:52.0894539Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0894606Z import torch
2023-01-11T21:01:52.0894675Z import random
2023-01-11T21:01:52.0894785Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0894902Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0894909Z 
2023-01-11T21:01:52.0895011Z aten = torch.ops.aten
2023-01-11T21:01:52.0895132Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0895220Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0895227Z 
2023-01-11T21:01:52.0895231Z 
2023-01-11T21:01:52.0895360Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0895563Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0895681Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0895778Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0895871Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0895919Z {
2023-01-11T21:01:52.0895996Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0896056Z     {
2023-01-11T21:01:52.0896185Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.0896311Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.0896393Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0896514Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.0896594Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0896668Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0896750Z         tmp4.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0896813Z     }
2023-01-11T21:01:52.0896897Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0896974Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.0897031Z     {
2023-01-11T21:01:52.0897108Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.0897190Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.0897268Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0897360Z         auto tmp3 = static_cast<float>(2);
2023-01-11T21:01:52.0897438Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0897514Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0897585Z         out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.0897634Z     }
2023-01-11T21:01:52.0897692Z }
2023-01-11T21:01:52.0897768Z ''')
2023-01-11T21:01:52.0897773Z 
2023-01-11T21:01:52.0897777Z 
2023-01-11T21:01:52.0897863Z async_compile.wait(globals())
2023-01-11T21:01:52.0897934Z del async_compile
2023-01-11T21:01:52.0897939Z 
2023-01-11T21:01:52.0898006Z def call(args):
2023-01-11T21:01:52.0898074Z     arg0_1, = args
2023-01-11T21:01:52.0898142Z     args.clear()
2023-01-11T21:01:52.0898342Z     buf0 = empty_strided((2, 2, 1, 2, 2), (8, 4, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0898551Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0898711Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0898779Z     del arg0_1
2023-01-11T21:01:52.0898854Z     return (buf0, buf1, )
2023-01-11T21:01:52.0898860Z 
2023-01-11T21:01:52.0898864Z 
2023-01-11T21:01:52.0898967Z if __name__ == "__main__":
2023-01-11T21:01:52.0899077Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0899198Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0899419Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0899526Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0899531Z 
2023-01-11T21:01:52.0899596Z ok (1.549s)
2023-01-11T21:01:52.0900043Z   test_upsample_bicubic2d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0900169Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0900427Z [2023-01-11 20:59:43,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 453
2023-01-11T21:01:52.0900434Z 
2023-01-11T21:01:52.0900524Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0900591Z import torch
2023-01-11T21:01:52.0900658Z import random
2023-01-11T21:01:52.0900760Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0900878Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0900883Z 
2023-01-11T21:01:52.0900958Z aten = torch.ops.aten
2023-01-11T21:01:52.0901088Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0901176Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0901181Z 
2023-01-11T21:01:52.0901186Z 
2023-01-11T21:01:52.0901316Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0901514Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0901631Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0901717Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0901812Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0901871Z {
2023-01-11T21:01:52.0901945Z     #pragma GCC ivdep
2023-01-11T21:01:52.0902023Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.0902081Z     {
2023-01-11T21:01:52.0902156Z         #pragma GCC ivdep
2023-01-11T21:01:52.0902225Z         for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:52.0902286Z         {
2023-01-11T21:01:52.0902362Z             #pragma GCC ivdep
2023-01-11T21:01:52.0902443Z             for(long i2=0; i2<128; i2+=1)
2023-01-11T21:01:52.0902505Z             {
2023-01-11T21:01:52.0902566Z                 {
2023-01-11T21:01:52.0902618Z                     {
2023-01-11T21:01:52.0902724Z                         auto tmp0 = static_cast<float>(i2);
2023-01-11T21:01:52.0902822Z                         auto tmp1 = 0.2440944881889764 * tmp0;
2023-01-11T21:01:52.0902924Z                         auto tmp2 = std::floor(tmp1);
2023-01-11T21:01:52.0903064Z                         auto tmp3 = tmp1 - tmp2;
2023-01-11T21:01:52.0903167Z                         auto tmp4 = static_cast<float>(i1);
2023-01-11T21:01:52.0903263Z                         auto tmp5 = 0.49606299212598426 * tmp4;
2023-01-11T21:01:52.0903364Z                         auto tmp6 = std::floor(tmp5);
2023-01-11T21:01:52.0903490Z                         auto tmp7 = tmp5 - tmp6;
2023-01-11T21:01:52.0903591Z                         auto tmp8 = static_cast<int>(tmp6);
2023-01-11T21:01:52.0903693Z                         auto tmp9 = static_cast<int>(tmp2);
2023-01-11T21:01:52.0903828Z                         auto tmp10 = tmp8 + -1;
2023-01-11T21:01:52.0903915Z                         auto tmp11 = tmp8 + 0;
2023-01-11T21:01:52.0904001Z                         auto tmp12 = tmp8 + 1;
2023-01-11T21:01:52.0904087Z                         auto tmp13 = tmp8 + 2;
2023-01-11T21:01:52.0904208Z                         auto tmp14 = tmp9 + -1;
2023-01-11T21:01:52.0904293Z                         auto tmp15 = tmp9 + 0;
2023-01-11T21:01:52.0904408Z                         auto tmp16 = tmp9 + 1;
2023-01-11T21:01:52.0904492Z                         auto tmp17 = tmp9 + 2;
2023-01-11T21:01:52.0904646Z                         auto tmp18 = (tmp10 != tmp10) ? tmp10 : std::min(63, tmp10);
2023-01-11T21:01:52.0904771Z                         auto tmp19 = (tmp18 != tmp18) ? tmp18 : std::max(0, tmp18);
2023-01-11T21:01:52.0904893Z                         auto tmp20 = (tmp14 != tmp14) ? tmp14 : std::min(31, tmp14);
2023-01-11T21:01:52.0905012Z                         auto tmp21 = (tmp20 != tmp20) ? tmp20 : std::max(0, tmp20);
2023-01-11T21:01:52.0905115Z                         auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)];
2023-01-11T21:01:52.0905237Z                         auto tmp23 = (tmp15 != tmp15) ? tmp15 : std::min(31, tmp15);
2023-01-11T21:01:52.0905355Z                         auto tmp24 = (tmp23 != tmp23) ? tmp23 : std::max(0, tmp23);
2023-01-11T21:01:52.0905466Z                         auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)];
2023-01-11T21:01:52.0905585Z                         auto tmp26 = (tmp16 != tmp16) ? tmp16 : std::min(31, tmp16);
2023-01-11T21:01:52.0905703Z                         auto tmp27 = (tmp26 != tmp26) ? tmp26 : std::max(0, tmp26);
2023-01-11T21:01:52.0905817Z                         auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)];
2023-01-11T21:01:52.0905938Z                         auto tmp29 = (tmp17 != tmp17) ? tmp17 : std::min(31, tmp17);
2023-01-11T21:01:52.0906058Z                         auto tmp30 = (tmp29 != tmp29) ? tmp29 : std::max(0, tmp29);
2023-01-11T21:01:52.0906158Z                         auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)];
2023-01-11T21:01:52.0906249Z                         auto tmp32 = tmp3 + 1.0;
2023-01-11T21:01:52.0906389Z                         auto tmp33 = -0.75 * tmp32;
2023-01-11T21:01:52.0906528Z                         auto tmp34 = tmp33 - -3.75;
2023-01-11T21:01:52.0906618Z                         auto tmp35 = tmp34 * tmp32;
2023-01-11T21:01:52.0906759Z                         auto tmp36 = tmp35 + -6.0;
2023-01-11T21:01:52.0906849Z                         auto tmp37 = tmp36 * tmp32;
2023-01-11T21:01:52.0906985Z                         auto tmp38 = tmp37 - -3.0;
2023-01-11T21:01:52.0907063Z                         auto tmp39 = 1.25 * tmp3;
2023-01-11T21:01:52.0907203Z                         auto tmp40 = tmp39 - 2.25;
2023-01-11T21:01:52.0907290Z                         auto tmp41 = tmp40 * tmp3;
2023-01-11T21:01:52.0907376Z                         auto tmp42 = tmp41 * tmp3;
2023-01-11T21:01:52.0907466Z                         auto tmp43 = tmp42 + 1.0;
2023-01-11T21:01:52.0907601Z                         auto tmp44 = 1.0 - tmp3;
2023-01-11T21:01:52.0907687Z                         auto tmp45 = 1.25 * tmp44;
2023-01-11T21:01:52.0907811Z                         auto tmp46 = tmp45 - 2.25;
2023-01-11T21:01:52.0907900Z                         auto tmp47 = tmp46 * tmp44;
2023-01-11T21:01:52.0907990Z                         auto tmp48 = tmp47 * tmp44;
2023-01-11T21:01:52.0908080Z                         auto tmp49 = tmp48 + 1.0;
2023-01-11T21:01:52.0908169Z                         auto tmp50 = tmp44 + 1.0;
2023-01-11T21:01:52.0908304Z                         auto tmp51 = -0.75 * tmp50;
2023-01-11T21:01:52.0908444Z                         auto tmp52 = tmp51 - -3.75;
2023-01-11T21:01:52.0908521Z                         auto tmp53 = tmp52 * tmp50;
2023-01-11T21:01:52.0908656Z                         auto tmp54 = tmp53 + -6.0;
2023-01-11T21:01:52.0908741Z                         auto tmp55 = tmp54 * tmp50;
2023-01-11T21:01:52.0908876Z                         auto tmp56 = tmp55 - -3.0;
2023-01-11T21:01:52.0908963Z                         auto tmp57 = tmp22 * tmp38;
2023-01-11T21:01:52.0909051Z                         auto tmp58 = tmp25 * tmp43;
2023-01-11T21:01:52.0909136Z                         auto tmp59 = tmp28 * tmp49;
2023-01-11T21:01:52.0909221Z                         auto tmp60 = tmp31 * tmp56;
2023-01-11T21:01:52.0909295Z                         auto tmp61 = tmp59 + tmp60;
2023-01-11T21:01:52.0909411Z                         auto tmp62 = tmp58 + tmp61;
2023-01-11T21:01:52.0909497Z                         auto tmp63 = tmp57 + tmp62;
2023-01-11T21:01:52.0909649Z                         auto tmp64 = (tmp11 != tmp11) ? tmp11 : std::min(63, tmp11);
2023-01-11T21:01:52.0909773Z                         auto tmp65 = (tmp64 != tmp64) ? tmp64 : std::max(0, tmp64);
2023-01-11T21:01:52.0909884Z                         auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)];
2023-01-11T21:01:52.0909995Z                         auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)];
2023-01-11T21:01:52.0910104Z                         auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)];
2023-01-11T21:01:52.0910201Z                         auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)];
2023-01-11T21:01:52.0910290Z                         auto tmp70 = tmp66 * tmp38;
2023-01-11T21:01:52.0910378Z                         auto tmp71 = tmp67 * tmp43;
2023-01-11T21:01:52.0910468Z                         auto tmp72 = tmp68 * tmp49;
2023-01-11T21:01:52.0910555Z                         auto tmp73 = tmp69 * tmp56;
2023-01-11T21:01:52.0910644Z                         auto tmp74 = tmp72 + tmp73;
2023-01-11T21:01:52.0910734Z                         auto tmp75 = tmp71 + tmp74;
2023-01-11T21:01:52.0910809Z                         auto tmp76 = tmp70 + tmp75;
2023-01-11T21:01:52.0910929Z                         auto tmp77 = (tmp12 != tmp12) ? tmp12 : std::min(63, tmp12);
2023-01-11T21:01:52.0911053Z                         auto tmp78 = (tmp77 != tmp77) ? tmp77 : std::max(0, tmp77);
2023-01-11T21:01:52.0911164Z                         auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)];
2023-01-11T21:01:52.0911275Z                         auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)];
2023-01-11T21:01:52.0911382Z                         auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)];
2023-01-11T21:01:52.0911492Z                         auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)];
2023-01-11T21:01:52.0911584Z                         auto tmp83 = tmp79 * tmp38;
2023-01-11T21:01:52.0911661Z                         auto tmp84 = tmp80 * tmp43;
2023-01-11T21:01:52.0911751Z                         auto tmp85 = tmp81 * tmp49;
2023-01-11T21:01:52.0911837Z                         auto tmp86 = tmp82 * tmp56;
2023-01-11T21:01:52.0911924Z                         auto tmp87 = tmp85 + tmp86;
2023-01-11T21:01:52.0912008Z                         auto tmp88 = tmp84 + tmp87;
2023-01-11T21:01:52.0912094Z                         auto tmp89 = tmp83 + tmp88;
2023-01-11T21:01:52.0912215Z                         auto tmp90 = (tmp13 != tmp13) ? tmp13 : std::min(63, tmp13);
2023-01-11T21:01:52.0912333Z                         auto tmp91 = (tmp90 != tmp90) ? tmp90 : std::max(0, tmp90);
2023-01-11T21:01:52.0912432Z                         auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)];
2023-01-11T21:01:52.0912543Z                         auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)];
2023-01-11T21:01:52.0912652Z                         auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)];
2023-01-11T21:01:52.0912758Z                         auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)];
2023-01-11T21:01:52.0912850Z                         auto tmp96 = tmp92 * tmp38;
2023-01-11T21:01:52.0913019Z                         auto tmp97 = tmp93 * tmp43;
2023-01-11T21:01:52.0913108Z                         auto tmp98 = tmp94 * tmp49;
2023-01-11T21:01:52.0913195Z                         auto tmp99 = tmp95 * tmp56;
2023-01-11T21:01:52.0913277Z                         auto tmp100 = tmp98 + tmp99;
2023-01-11T21:01:52.0913373Z                         auto tmp101 = tmp97 + tmp100;
2023-01-11T21:01:52.0913464Z                         auto tmp102 = tmp96 + tmp101;
2023-01-11T21:01:52.0913555Z                         auto tmp103 = tmp7 + 1.0;
2023-01-11T21:01:52.0913700Z                         auto tmp104 = -0.75 * tmp103;
2023-01-11T21:01:52.0913843Z                         auto tmp105 = tmp104 - -3.75;
2023-01-11T21:01:52.0913971Z                         auto tmp106 = tmp105 * tmp103;
2023-01-11T21:01:52.0914102Z                         auto tmp107 = tmp106 + -6.0;
2023-01-11T21:01:52.0914223Z                         auto tmp108 = tmp107 * tmp103;
2023-01-11T21:01:52.0914368Z                         auto tmp109 = tmp108 - -3.0;
2023-01-11T21:01:52.0914457Z                         auto tmp110 = 1.25 * tmp7;
2023-01-11T21:01:52.0914598Z                         auto tmp111 = tmp110 - 2.25;
2023-01-11T21:01:52.0914687Z                         auto tmp112 = tmp111 * tmp7;
2023-01-11T21:01:52.0914775Z                         auto tmp113 = tmp112 * tmp7;
2023-01-11T21:01:52.0914853Z                         auto tmp114 = tmp113 + 1.0;
2023-01-11T21:01:52.0914990Z                         auto tmp115 = 1.0 - tmp7;
2023-01-11T21:01:52.0915078Z                         auto tmp116 = 1.25 * tmp115;
2023-01-11T21:01:52.0915216Z                         auto tmp117 = tmp116 - 2.25;
2023-01-11T21:01:52.0915313Z                         auto tmp118 = tmp117 * tmp115;
2023-01-11T21:01:52.0915406Z                         auto tmp119 = tmp118 * tmp115;
2023-01-11T21:01:52.0915494Z                         auto tmp120 = tmp119 + 1.0;
2023-01-11T21:01:52.0915586Z                         auto tmp121 = tmp115 + 1.0;
2023-01-11T21:01:52.0915715Z                         auto tmp122 = -0.75 * tmp121;
2023-01-11T21:01:52.0915858Z                         auto tmp123 = tmp122 - -3.75;
2023-01-11T21:01:52.0915950Z                         auto tmp124 = tmp123 * tmp121;
2023-01-11T21:01:52.0916095Z                         auto tmp125 = tmp124 + -6.0;
2023-01-11T21:01:52.0916189Z                         auto tmp126 = tmp125 * tmp121;
2023-01-11T21:01:52.0916328Z                         auto tmp127 = tmp126 - -3.0;
2023-01-11T21:01:52.0916419Z                         auto tmp128 = tmp63 * tmp109;
2023-01-11T21:01:52.0916497Z                         auto tmp129 = tmp76 * tmp114;
2023-01-11T21:01:52.0916586Z                         auto tmp130 = tmp89 * tmp120;
2023-01-11T21:01:52.0916679Z                         auto tmp131 = tmp102 * tmp127;
2023-01-11T21:01:52.0916772Z                         auto tmp132 = tmp130 + tmp131;
2023-01-11T21:01:52.0916868Z                         auto tmp133 = tmp129 + tmp132;
2023-01-11T21:01:52.0916960Z                         auto tmp134 = tmp128 + tmp133;
2023-01-11T21:01:52.0917065Z                         out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134;
2023-01-11T21:01:52.0917130Z                     }
2023-01-11T21:01:52.0917181Z                 }
2023-01-11T21:01:52.0917242Z             }
2023-01-11T21:01:52.0917302Z         }
2023-01-11T21:01:52.0917360Z     }
2023-01-11T21:01:52.0917434Z     #pragma GCC ivdep
2023-01-11T21:01:52.0917514Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.0917561Z     {
2023-01-11T21:01:52.0917636Z         #pragma GCC ivdep
2023-01-11T21:01:52.0917715Z         for(long i1=0; i1<128; i1+=1)
2023-01-11T21:01:52.0917777Z         {
2023-01-11T21:01:52.0917855Z             #pragma GCC ivdep
2023-01-11T21:01:52.0917936Z             for(long i2=0; i2<256; i2+=1)
2023-01-11T21:01:52.0917997Z             {
2023-01-11T21:01:52.0918047Z                 {
2023-01-11T21:01:52.0918110Z                     {
2023-01-11T21:01:52.0918216Z                         auto tmp0 = static_cast<float>(i2);
2023-01-11T21:01:52.0918306Z                         auto tmp1 = tmp0 + 0.5;
2023-01-11T21:01:52.0918395Z                         auto tmp2 = 0.125 * tmp1;
2023-01-11T21:01:52.0918530Z                         auto tmp3 = tmp2 - 0.5;
2023-01-11T21:01:52.0918631Z                         auto tmp4 = std::floor(tmp3);
2023-01-11T21:01:52.0918756Z                         auto tmp5 = tmp3 - tmp4;
2023-01-11T21:01:52.0918860Z                         auto tmp6 = static_cast<float>(i1);
2023-01-11T21:01:52.0918948Z                         auto tmp7 = tmp6 + 0.5;
2023-01-11T21:01:52.0919036Z                         auto tmp8 = 0.5 * tmp7;
2023-01-11T21:01:52.0919167Z                         auto tmp9 = tmp8 - 0.5;
2023-01-11T21:01:52.0919297Z                         auto tmp10 = std::floor(tmp9);
2023-01-11T21:01:52.0919437Z                         auto tmp11 = tmp9 - tmp10;
2023-01-11T21:01:52.0919569Z                         auto tmp12 = static_cast<int>(tmp10);
2023-01-11T21:01:52.0919676Z                         auto tmp13 = static_cast<int>(tmp4);
2023-01-11T21:01:52.0919814Z                         auto tmp14 = tmp12 + -1;
2023-01-11T21:01:52.0919902Z                         auto tmp15 = tmp12 + 0;
2023-01-11T21:01:52.0919989Z                         auto tmp16 = tmp12 + 1;
2023-01-11T21:01:52.0920074Z                         auto tmp17 = tmp12 + 2;
2023-01-11T21:01:52.0920209Z                         auto tmp18 = tmp13 + -1;
2023-01-11T21:01:52.0920295Z                         auto tmp19 = tmp13 + 0;
2023-01-11T21:01:52.0920368Z                         auto tmp20 = tmp13 + 1;
2023-01-11T21:01:52.0920453Z                         auto tmp21 = tmp13 + 2;
2023-01-11T21:01:52.0920578Z                         auto tmp22 = (tmp14 != tmp14) ? tmp14 : std::min(63, tmp14);
2023-01-11T21:01:52.0920702Z                         auto tmp23 = (tmp22 != tmp22) ? tmp22 : std::max(0, tmp22);
2023-01-11T21:01:52.0920821Z                         auto tmp24 = (tmp18 != tmp18) ? tmp18 : std::min(31, tmp18);
2023-01-11T21:01:52.0920941Z                         auto tmp25 = (tmp24 != tmp24) ? tmp24 : std::max(0, tmp24);
2023-01-11T21:01:52.0921055Z                         auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)];
2023-01-11T21:01:52.0921178Z                         auto tmp27 = (tmp19 != tmp19) ? tmp19 : std::min(31, tmp19);
2023-01-11T21:01:52.0921287Z                         auto tmp28 = (tmp27 != tmp27) ? tmp27 : std::max(0, tmp27);
2023-01-11T21:01:52.0921401Z                         auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)];
2023-01-11T21:01:52.0921520Z                         auto tmp30 = (tmp20 != tmp20) ? tmp20 : std::min(31, tmp20);
2023-01-11T21:01:52.0921639Z                         auto tmp31 = (tmp30 != tmp30) ? tmp30 : std::max(0, tmp30);
2023-01-11T21:01:52.0921753Z                         auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)];
2023-01-11T21:01:52.0921879Z                         auto tmp33 = (tmp21 != tmp21) ? tmp21 : std::min(31, tmp21);
2023-01-11T21:01:52.0921997Z                         auto tmp34 = (tmp33 != tmp33) ? tmp33 : std::max(0, tmp33);
2023-01-11T21:01:52.0922107Z                         auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)];
2023-01-11T21:01:52.0922195Z                         auto tmp36 = tmp5 + 1.0;
2023-01-11T21:01:52.0922323Z                         auto tmp37 = -0.75 * tmp36;
2023-01-11T21:01:52.0922466Z                         auto tmp38 = tmp37 - -3.75;
2023-01-11T21:01:52.0922560Z                         auto tmp39 = tmp38 * tmp36;
2023-01-11T21:01:52.0922698Z                         auto tmp40 = tmp39 + -6.0;
2023-01-11T21:01:52.0922787Z                         auto tmp41 = tmp40 * tmp36;
2023-01-11T21:01:52.0922923Z                         auto tmp42 = tmp41 - -3.0;
2023-01-11T21:01:52.0923013Z                         auto tmp43 = 1.25 * tmp5;
2023-01-11T21:01:52.0923139Z                         auto tmp44 = tmp43 - 2.25;
2023-01-11T21:01:52.0923229Z                         auto tmp45 = tmp44 * tmp5;
2023-01-11T21:01:52.0923317Z                         auto tmp46 = tmp45 * tmp5;
2023-01-11T21:01:52.0923551Z                         auto tmp47 = tmp46 + 1.0;
2023-01-11T21:01:52.0923725Z                         auto tmp48 = 1.0 - tmp5;
2023-01-11T21:01:52.0923815Z                         auto tmp49 = 1.25 * tmp48;
2023-01-11T21:01:52.0923952Z                         auto tmp50 = tmp49 - 2.25;
2023-01-11T21:01:52.0924032Z                         auto tmp51 = tmp50 * tmp48;
2023-01-11T21:01:52.0924121Z                         auto tmp52 = tmp51 * tmp48;
2023-01-11T21:01:52.0924210Z                         auto tmp53 = tmp52 + 1.0;
2023-01-11T21:01:52.0924301Z                         auto tmp54 = tmp48 + 1.0;
2023-01-11T21:01:52.0924440Z                         auto tmp55 = -0.75 * tmp54;
2023-01-11T21:01:52.0924631Z                         auto tmp56 = tmp55 - -3.75;
2023-01-11T21:01:52.0924719Z                         auto tmp57 = tmp56 * tmp54;
2023-01-11T21:01:52.0924885Z                         auto tmp58 = tmp57 + -6.0;
2023-01-11T21:01:52.0924962Z                         auto tmp59 = tmp58 * tmp54;
2023-01-11T21:01:52.0925100Z                         auto tmp60 = tmp59 - -3.0;
2023-01-11T21:01:52.0925187Z                         auto tmp61 = tmp26 * tmp42;
2023-01-11T21:01:52.0925275Z                         auto tmp62 = tmp29 * tmp47;
2023-01-11T21:01:52.0925363Z                         auto tmp63 = tmp32 * tmp53;
2023-01-11T21:01:52.0925451Z                         auto tmp64 = tmp35 * tmp60;
2023-01-11T21:01:52.0925539Z                         auto tmp65 = tmp63 + tmp64;
2023-01-11T21:01:52.0925613Z                         auto tmp66 = tmp62 + tmp65;
2023-01-11T21:01:52.0925700Z                         auto tmp67 = tmp61 + tmp66;
2023-01-11T21:01:52.0925826Z                         auto tmp68 = (tmp15 != tmp15) ? tmp15 : std::min(63, tmp15);
2023-01-11T21:01:52.0925949Z                         auto tmp69 = (tmp68 != tmp68) ? tmp68 : std::max(0, tmp68);
2023-01-11T21:01:52.0926065Z                         auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)];
2023-01-11T21:01:52.0926176Z                         auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)];
2023-01-11T21:01:52.0926283Z                         auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)];
2023-01-11T21:01:52.0926390Z                         auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)];
2023-01-11T21:01:52.0926469Z                         auto tmp74 = tmp70 * tmp42;
2023-01-11T21:01:52.0926558Z                         auto tmp75 = tmp71 * tmp47;
2023-01-11T21:01:52.0926644Z                         auto tmp76 = tmp72 * tmp53;
2023-01-11T21:01:52.0926730Z                         auto tmp77 = tmp73 * tmp60;
2023-01-11T21:01:52.0926817Z                         auto tmp78 = tmp76 + tmp77;
2023-01-11T21:01:52.0926906Z                         auto tmp79 = tmp75 + tmp78;
2023-01-11T21:01:52.0926993Z                         auto tmp80 = tmp74 + tmp79;
2023-01-11T21:01:52.0927117Z                         auto tmp81 = (tmp16 != tmp16) ? tmp16 : std::min(63, tmp16);
2023-01-11T21:01:52.0927225Z                         auto tmp82 = (tmp81 != tmp81) ? tmp81 : std::max(0, tmp81);
2023-01-11T21:01:52.0927337Z                         auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)];
2023-01-11T21:01:52.0927443Z                         auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)];
2023-01-11T21:01:52.0927548Z                         auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)];
2023-01-11T21:01:52.0927655Z                         auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)];
2023-01-11T21:01:52.0927743Z                         auto tmp87 = tmp83 * tmp42;
2023-01-11T21:01:52.0927830Z                         auto tmp88 = tmp84 * tmp47;
2023-01-11T21:01:52.0927919Z                         auto tmp89 = tmp85 * tmp53;
2023-01-11T21:01:52.0927994Z                         auto tmp90 = tmp86 * tmp60;
2023-01-11T21:01:52.0928079Z                         auto tmp91 = tmp89 + tmp90;
2023-01-11T21:01:52.0928166Z                         auto tmp92 = tmp88 + tmp91;
2023-01-11T21:01:52.0928252Z                         auto tmp93 = tmp87 + tmp92;
2023-01-11T21:01:52.0928371Z                         auto tmp94 = (tmp17 != tmp17) ? tmp17 : std::min(63, tmp17);
2023-01-11T21:01:52.0928489Z                         auto tmp95 = (tmp94 != tmp94) ? tmp94 : std::max(0, tmp94);
2023-01-11T21:01:52.0928600Z                         auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)];
2023-01-11T21:01:52.0928708Z                         auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)];
2023-01-11T21:01:52.0928803Z                         auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)];
2023-01-11T21:01:52.0928910Z                         auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)];
2023-01-11T21:01:52.0929032Z                         auto tmp100 = tmp96 * tmp42;
2023-01-11T21:01:52.0929125Z                         auto tmp101 = tmp97 * tmp47;
2023-01-11T21:01:52.0929213Z                         auto tmp102 = tmp98 * tmp53;
2023-01-11T21:01:52.0929326Z                         auto tmp103 = tmp99 * tmp60;
2023-01-11T21:01:52.0929423Z                         auto tmp104 = tmp102 + tmp103;
2023-01-11T21:01:52.0929505Z                         auto tmp105 = tmp101 + tmp104;
2023-01-11T21:01:52.0929598Z                         auto tmp106 = tmp100 + tmp105;
2023-01-11T21:01:52.0929688Z                         auto tmp107 = tmp11 + 1.0;
2023-01-11T21:01:52.0929831Z                         auto tmp108 = -0.75 * tmp107;
2023-01-11T21:01:52.0929975Z                         auto tmp109 = tmp108 - -3.75;
2023-01-11T21:01:52.0930067Z                         auto tmp110 = tmp109 * tmp107;
2023-01-11T21:01:52.0930207Z                         auto tmp111 = tmp110 + -6.0;
2023-01-11T21:01:52.0930300Z                         auto tmp112 = tmp111 * tmp107;
2023-01-11T21:01:52.0930431Z                         auto tmp113 = tmp112 - -3.0;
2023-01-11T21:01:52.0930517Z                         auto tmp114 = 1.25 * tmp11;
2023-01-11T21:01:52.0930660Z                         auto tmp115 = tmp114 - 2.25;
2023-01-11T21:01:52.0930753Z                         auto tmp116 = tmp115 * tmp11;
2023-01-11T21:01:52.0930843Z                         auto tmp117 = tmp116 * tmp11;
2023-01-11T21:01:52.0930931Z                         auto tmp118 = tmp117 + 1.0;
2023-01-11T21:01:52.0931067Z                         auto tmp119 = 1.0 - tmp11;
2023-01-11T21:01:52.0931144Z                         auto tmp120 = 1.25 * tmp119;
2023-01-11T21:01:52.0931281Z                         auto tmp121 = tmp120 - 2.25;
2023-01-11T21:01:52.0931375Z                         auto tmp122 = tmp121 * tmp119;
2023-01-11T21:01:52.0931467Z                         auto tmp123 = tmp122 * tmp119;
2023-01-11T21:01:52.0931556Z                         auto tmp124 = tmp123 + 1.0;
2023-01-11T21:01:52.0931646Z                         auto tmp125 = tmp119 + 1.0;
2023-01-11T21:01:52.0931787Z                         auto tmp126 = -0.75 * tmp125;
2023-01-11T21:01:52.0931919Z                         auto tmp127 = tmp126 - -3.75;
2023-01-11T21:01:52.0932011Z                         auto tmp128 = tmp127 * tmp125;
2023-01-11T21:01:52.0932154Z                         auto tmp129 = tmp128 + -6.0;
2023-01-11T21:01:52.0932244Z                         auto tmp130 = tmp129 * tmp125;
2023-01-11T21:01:52.0932387Z                         auto tmp131 = tmp130 - -3.0;
2023-01-11T21:01:52.0932480Z                         auto tmp132 = tmp67 * tmp113;
2023-01-11T21:01:52.0932568Z                         auto tmp133 = tmp80 * tmp118;
2023-01-11T21:01:52.0932656Z                         auto tmp134 = tmp93 * tmp124;
2023-01-11T21:01:52.0932736Z                         auto tmp135 = tmp106 * tmp131;
2023-01-11T21:01:52.0932826Z                         auto tmp136 = tmp134 + tmp135;
2023-01-11T21:01:52.0932918Z                         auto tmp137 = tmp133 + tmp136;
2023-01-11T21:01:52.0933009Z                         auto tmp138 = tmp132 + tmp137;
2023-01-11T21:01:52.0933114Z                         out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138;
2023-01-11T21:01:52.0933178Z                     }
2023-01-11T21:01:52.0933239Z                 }
2023-01-11T21:01:52.0933288Z             }
2023-01-11T21:01:52.0933348Z         }
2023-01-11T21:01:52.0933406Z     }
2023-01-11T21:01:52.0933460Z }
2023-01-11T21:01:52.0933534Z ''')
2023-01-11T21:01:52.0933540Z 
2023-01-11T21:01:52.0933545Z 
2023-01-11T21:01:52.0933634Z async_compile.wait(globals())
2023-01-11T21:01:52.0933703Z del async_compile
2023-01-11T21:01:52.0933707Z 
2023-01-11T21:01:52.0933763Z def call(args):
2023-01-11T21:01:52.0933831Z     arg0_1, = args
2023-01-11T21:01:52.0933898Z     args.clear()
2023-01-11T21:01:52.0934121Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0934382Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0934544Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0934634Z     del arg0_1
2023-01-11T21:01:52.0934698Z     return (buf0, buf1, )
2023-01-11T21:01:52.0934703Z 
2023-01-11T21:01:52.0934707Z 
2023-01-11T21:01:52.0934780Z if __name__ == "__main__":
2023-01-11T21:01:52.0934892Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0935013Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0935232Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0935338Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0935605Z [2023-01-11 20:59:45,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 453
2023-01-11T21:01:52.0935610Z 
2023-01-11T21:01:52.0935678Z ok (3.284s)
2023-01-11T21:01:52.0936118Z   test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0936245Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0936501Z [2023-01-11 20:59:46,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 454
2023-01-11T21:01:52.0936506Z 
2023-01-11T21:01:52.0936598Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0936664Z import torch
2023-01-11T21:01:52.0936728Z import random
2023-01-11T21:01:52.0936840Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0936958Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0936965Z 
2023-01-11T21:01:52.0937040Z aten = torch.ops.aten
2023-01-11T21:01:52.0937159Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0937248Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0937253Z 
2023-01-11T21:01:52.0937260Z 
2023-01-11T21:01:52.0937390Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0937591Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0937705Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0937804Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:52.0937906Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0938001Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0938083Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:52.0938141Z {
2023-01-11T21:01:52.0938222Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:52.0938306Z     auto out_ptr2 = in_out_ptr1;
2023-01-11T21:01:52.0938379Z     #pragma GCC ivdep
2023-01-11T21:01:52.0938454Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0938511Z     {
2023-01-11T21:01:52.0938574Z         #pragma GCC ivdep
2023-01-11T21:01:52.0938656Z         for(long i1=0; i1<45; i1+=1)
2023-01-11T21:01:52.0938714Z         {
2023-01-11T21:01:52.0938792Z             #pragma GCC ivdep
2023-01-11T21:01:52.0938874Z             for(long i2=0; i2<45; i2+=1)
2023-01-11T21:01:52.0938936Z             {
2023-01-11T21:01:52.0938987Z                 {
2023-01-11T21:01:52.0939051Z                     {
2023-01-11T21:01:52.0939154Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0939257Z                         auto tmp1 = static_cast<float>(0.5);
2023-01-11T21:01:52.0939348Z                         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0939461Z                         auto tmp3 = static_cast<float>(0.8222222222222222);
2023-01-11T21:01:52.0939551Z                         auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:52.0939707Z                         auto tmp5 = tmp4 - tmp1;
2023-01-11T21:01:52.0939813Z                         auto tmp6 = static_cast<float>(0.0);
2023-01-11T21:01:52.0939966Z                         auto tmp7 = (tmp6 != tmp6) ? tmp6 : std::max(tmp5, tmp6);
2023-01-11T21:01:52.0940067Z                         auto tmp8 = std::floor(tmp7);
2023-01-11T21:01:52.0940172Z                         auto tmp9 = static_cast<long>(tmp8);
2023-01-11T21:01:52.0940276Z                         auto tmp10 = static_cast<float>(i2);
2023-01-11T21:01:52.0940368Z                         auto tmp11 = tmp10 + tmp1;
2023-01-11T21:01:52.0940478Z                         auto tmp12 = static_cast<float>(0.8444444444444444);
2023-01-11T21:01:52.0940559Z                         auto tmp13 = tmp11 * tmp12;
2023-01-11T21:01:52.0940698Z                         auto tmp14 = tmp13 - tmp1;
2023-01-11T21:01:52.0940824Z                         auto tmp15 = (tmp6 != tmp6) ? tmp6 : std::max(tmp14, tmp6);
2023-01-11T21:01:52.0940928Z                         auto tmp16 = std::floor(tmp15);
2023-01-11T21:01:52.0941034Z                         auto tmp17 = static_cast<long>(tmp16);
2023-01-11T21:01:52.0941149Z                         auto tmp18 = in_ptr0[tmp17 + (38*tmp9) + (1406*i0)];
2023-01-11T21:01:52.0941254Z                         auto tmp19 = static_cast<float>(1.0);
2023-01-11T21:01:52.0941361Z                         auto tmp20 = static_cast<float>(tmp9);
2023-01-11T21:01:52.0941489Z                         auto tmp21 = tmp7 - tmp20;
2023-01-11T21:01:52.0941628Z                         auto tmp22 = tmp19 - tmp21;
2023-01-11T21:01:52.0941718Z                         auto tmp23 = tmp18 * tmp22;
2023-01-11T21:01:52.0941815Z                         auto tmp24 = std::ceil(tmp7);
2023-01-11T21:01:52.0941920Z                         auto tmp25 = static_cast<float>(36.0);
2023-01-11T21:01:52.0942048Z                         auto tmp26 = (tmp25 != tmp25) ? tmp25 : std::min(tmp24, tmp25);
2023-01-11T21:01:52.0942154Z                         auto tmp27 = static_cast<long>(tmp26);
2023-01-11T21:01:52.0942269Z                         auto tmp28 = in_ptr0[tmp17 + (38*tmp27) + (1406*i0)];
2023-01-11T21:01:52.0942349Z                         auto tmp29 = tmp28 * tmp21;
2023-01-11T21:01:52.0942441Z                         auto tmp30 = tmp23 + tmp29;
2023-01-11T21:01:52.0942542Z                         out_ptr0[i2 + (45*i1) + (2025*i0)] = tmp30;
2023-01-11T21:01:52.0942606Z                     }
2023-01-11T21:01:52.0942667Z                 }
2023-01-11T21:01:52.0942727Z             }
2023-01-11T21:01:52.0942786Z         }
2023-01-11T21:01:52.0942834Z     }
2023-01-11T21:01:52.0942905Z     #pragma GCC ivdep
2023-01-11T21:01:52.0942982Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0943038Z     {
2023-01-11T21:01:52.0943111Z         #pragma GCC ivdep
2023-01-11T21:01:52.0943188Z         for(long i1=0; i1<45; i1+=1)
2023-01-11T21:01:52.0943236Z         {
2023-01-11T21:01:52.0943310Z             #pragma GCC ivdep
2023-01-11T21:01:52.0943393Z             for(long i2=0; i2<45; i2+=1)
2023-01-11T21:01:52.0943455Z             {
2023-01-11T21:01:52.0943517Z                 {
2023-01-11T21:01:52.0943578Z                     {
2023-01-11T21:01:52.0943686Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0943779Z                         auto tmp1 = static_cast<float>(0.5);
2023-01-11T21:01:52.0943871Z                         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0943981Z                         auto tmp3 = static_cast<float>(0.8222222222222222);
2023-01-11T21:01:52.0944070Z                         auto tmp4 = tmp2 * tmp3;
2023-01-11T21:01:52.0944205Z                         auto tmp5 = tmp4 - tmp1;
2023-01-11T21:01:52.0944310Z                         auto tmp6 = static_cast<float>(0.0);
2023-01-11T21:01:52.0944436Z                         auto tmp7 = (tmp6 != tmp6) ? tmp6 : std::max(tmp5, tmp6);
2023-01-11T21:01:52.0944537Z                         auto tmp8 = std::floor(tmp7);
2023-01-11T21:01:52.0944659Z                         auto tmp9 = static_cast<long>(tmp8);
2023-01-11T21:01:52.0944764Z                         auto tmp10 = static_cast<float>(i2);
2023-01-11T21:01:52.0944856Z                         auto tmp11 = tmp10 + tmp1;
2023-01-11T21:01:52.0944998Z                         auto tmp12 = static_cast<float>(0.8444444444444444);
2023-01-11T21:01:52.0945091Z                         auto tmp13 = tmp11 * tmp12;
2023-01-11T21:01:52.0945229Z                         auto tmp14 = tmp13 - tmp1;
2023-01-11T21:01:52.0945354Z                         auto tmp15 = (tmp6 != tmp6) ? tmp6 : std::max(tmp14, tmp6);
2023-01-11T21:01:52.0945453Z                         auto tmp16 = std::ceil(tmp15);
2023-01-11T21:01:52.0945546Z                         auto tmp17 = static_cast<float>(37.0);
2023-01-11T21:01:52.0945673Z                         auto tmp18 = (tmp17 != tmp17) ? tmp17 : std::min(tmp16, tmp17);
2023-01-11T21:01:52.0945776Z                         auto tmp19 = static_cast<long>(tmp18);
2023-01-11T21:01:52.0945891Z                         auto tmp20 = in_ptr0[tmp19 + (38*tmp9) + (1406*i0)];
2023-01-11T21:01:52.0945997Z                         auto tmp21 = static_cast<float>(1.0);
2023-01-11T21:01:52.0946102Z                         auto tmp22 = static_cast<float>(tmp9);
2023-01-11T21:01:52.0946241Z                         auto tmp23 = tmp7 - tmp22;
2023-01-11T21:01:52.0946368Z                         auto tmp24 = tmp21 - tmp23;
2023-01-11T21:01:52.0946457Z                         auto tmp25 = tmp20 * tmp24;
2023-01-11T21:01:52.0946554Z                         auto tmp26 = std::ceil(tmp7);
2023-01-11T21:01:52.0946656Z                         auto tmp27 = static_cast<float>(36.0);
2023-01-11T21:01:52.0946785Z                         auto tmp28 = (tmp27 != tmp27) ? tmp27 : std::min(tmp26, tmp27);
2023-01-11T21:01:52.0946890Z                         auto tmp29 = static_cast<long>(tmp28);
2023-01-11T21:01:52.0947004Z                         auto tmp30 = in_ptr0[tmp19 + (38*tmp29) + (1406*i0)];
2023-01-11T21:01:52.0947097Z                         auto tmp31 = tmp30 * tmp23;
2023-01-11T21:01:52.0947174Z                         auto tmp32 = tmp25 + tmp31;
2023-01-11T21:01:52.0947273Z                         out_ptr1[i2 + (45*i1) + (2025*i0)] = tmp32;
2023-01-11T21:01:52.0947339Z                     }
2023-01-11T21:01:52.0947399Z                 }
2023-01-11T21:01:52.0947461Z             }
2023-01-11T21:01:52.0947521Z         }
2023-01-11T21:01:52.0947580Z     }
2023-01-11T21:01:52.0947641Z     #pragma GCC ivdep
2023-01-11T21:01:52.0947719Z     for(long i0=0; i0<360; i0+=1)
2023-01-11T21:01:52.0947777Z     {
2023-01-11T21:01:52.0947852Z         #pragma GCC ivdep
2023-01-11T21:01:52.0947931Z         for(long i1=0; i1<45; i1+=1)
2023-01-11T21:01:52.0947992Z         {
2023-01-11T21:01:52.0948056Z             {
2023-01-11T21:01:52.0948105Z                 {
2023-01-11T21:01:52.0948201Z                     auto tmp0 = out_ptr0[i1 + (45*i0)];
2023-01-11T21:01:52.0948299Z                     auto tmp16 = out_ptr1[i1 + (45*i0)];
2023-01-11T21:01:52.0948402Z                     auto tmp1 = static_cast<float>(1.0);
2023-01-11T21:01:52.0948502Z                     auto tmp2 = static_cast<float>(i1);
2023-01-11T21:01:52.0948606Z                     auto tmp3 = static_cast<float>(0.5);
2023-01-11T21:01:52.0948695Z                     auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.0948794Z                     auto tmp5 = static_cast<float>(0.8444444444444444);
2023-01-11T21:01:52.0948880Z                     auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.0949012Z                     auto tmp7 = tmp6 - tmp3;
2023-01-11T21:01:52.0949112Z                     auto tmp8 = static_cast<float>(0.0);
2023-01-11T21:01:52.0949236Z                     auto tmp9 = (tmp8 != tmp8) ? tmp8 : std::max(tmp7, tmp8);
2023-01-11T21:01:52.0949333Z                     auto tmp10 = std::floor(tmp9);
2023-01-11T21:01:52.0949438Z                     auto tmp11 = static_cast<long>(tmp10);
2023-01-11T21:01:52.0949531Z                     auto tmp12 = static_cast<float>(tmp11);
2023-01-11T21:01:52.0949696Z                     auto tmp13 = tmp9 - tmp12;
2023-01-11T21:01:52.0949831Z                     auto tmp14 = tmp1 - tmp13;
2023-01-11T21:01:52.0949920Z                     auto tmp15 = tmp0 * tmp14;
2023-01-11T21:01:52.0950037Z                     auto tmp17 = tmp16 * tmp13;
2023-01-11T21:01:52.0950127Z                     auto tmp18 = tmp15 + tmp17;
2023-01-11T21:01:52.0950222Z                     in_out_ptr0[i1 + (45*i0)] = tmp18;
2023-01-11T21:01:52.0950284Z                 }
2023-01-11T21:01:52.0950333Z             }
2023-01-11T21:01:52.0950393Z         }
2023-01-11T21:01:52.0950452Z     }
2023-01-11T21:01:52.0950525Z     #pragma GCC ivdep
2023-01-11T21:01:52.0950602Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0950661Z     {
2023-01-11T21:01:52.0950723Z         #pragma GCC ivdep
2023-01-11T21:01:52.0950803Z         for(long i1=0; i1<74; i1+=1)
2023-01-11T21:01:52.0950860Z         {
2023-01-11T21:01:52.0950937Z             #pragma GCC ivdep
2023-01-11T21:01:52.0951021Z             for(long i2=0; i2<76; i2+=1)
2023-01-11T21:01:52.0951081Z             {
2023-01-11T21:01:52.0951144Z                 {
2023-01-11T21:01:52.0951195Z                     {
2023-01-11T21:01:52.0951301Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0951413Z                         auto tmp1 = static_cast<float>(0.4931506849315068);
2023-01-11T21:01:52.0951503Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0951601Z                         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:52.0951706Z                         auto tmp4 = static_cast<long>(tmp3);
2023-01-11T21:01:52.0951808Z                         auto tmp5 = static_cast<float>(i2);
2023-01-11T21:01:52.0951909Z                         auto tmp6 = static_cast<float>(0.49333333333333335);
2023-01-11T21:01:52.0952000Z                         auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:52.0952097Z                         auto tmp8 = std::floor(tmp7);
2023-01-11T21:01:52.0952203Z                         auto tmp9 = static_cast<long>(tmp8);
2023-01-11T21:01:52.0952315Z                         auto tmp10 = in_ptr0[tmp9 + (38*tmp4) + (1406*i0)];
2023-01-11T21:01:52.0952420Z                         auto tmp11 = static_cast<float>(1.0);
2023-01-11T21:01:52.0952529Z                         auto tmp12 = static_cast<float>(tmp4);
2023-01-11T21:01:52.0952673Z                         auto tmp13 = tmp2 - tmp12;
2023-01-11T21:01:52.0952803Z                         auto tmp14 = tmp11 - tmp13;
2023-01-11T21:01:52.0952973Z                         auto tmp15 = tmp10 * tmp14;
2023-01-11T21:01:52.0953072Z                         auto tmp16 = std::ceil(tmp2);
2023-01-11T21:01:52.0953178Z                         auto tmp17 = static_cast<float>(36.0);
2023-01-11T21:01:52.0953305Z                         auto tmp18 = (tmp17 != tmp17) ? tmp17 : std::min(tmp16, tmp17);
2023-01-11T21:01:52.0953409Z                         auto tmp19 = static_cast<long>(tmp18);
2023-01-11T21:01:52.0953523Z                         auto tmp20 = in_ptr0[tmp9 + (38*tmp19) + (1406*i0)];
2023-01-11T21:01:52.0953617Z                         auto tmp21 = tmp20 * tmp13;
2023-01-11T21:01:52.0953696Z                         auto tmp22 = tmp15 + tmp21;
2023-01-11T21:01:52.0953801Z                         auto tmp23 = static_cast<float>(tmp9);
2023-01-11T21:01:52.0953941Z                         auto tmp24 = tmp7 - tmp23;
2023-01-11T21:01:52.0954079Z                         auto tmp25 = tmp11 - tmp24;
2023-01-11T21:01:52.0954167Z                         auto tmp26 = tmp22 * tmp25;
2023-01-11T21:01:52.0954271Z                         out_ptr2[i2 + (76*i1) + (5624*i0)] = tmp26;
2023-01-11T21:01:52.0954334Z                     }
2023-01-11T21:01:52.0954384Z                 }
2023-01-11T21:01:52.0954445Z             }
2023-01-11T21:01:52.0954503Z         }
2023-01-11T21:01:52.0954563Z     }
2023-01-11T21:01:52.0954637Z     #pragma GCC ivdep
2023-01-11T21:01:52.0954716Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0954763Z     {
2023-01-11T21:01:52.0954869Z         #pragma GCC ivdep
2023-01-11T21:01:52.0954946Z         for(long i1=0; i1<74; i1+=1)
2023-01-11T21:01:52.0955004Z         {
2023-01-11T21:01:52.0955081Z             #pragma GCC ivdep
2023-01-11T21:01:52.0955202Z             for(long i2=0; i2<76; i2+=1)
2023-01-11T21:01:52.0955264Z             {
2023-01-11T21:01:52.0955316Z                 {
2023-01-11T21:01:52.0955379Z                     {
2023-01-11T21:01:52.0955481Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0955589Z                         auto tmp1 = static_cast<float>(0.4931506849315068);
2023-01-11T21:01:52.0955679Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0955778Z                         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:52.0955884Z                         auto tmp4 = static_cast<long>(tmp3);
2023-01-11T21:01:52.0955977Z                         auto tmp5 = static_cast<float>(i2);
2023-01-11T21:01:52.0956088Z                         auto tmp6 = static_cast<float>(0.49333333333333335);
2023-01-11T21:01:52.0956181Z                         auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:52.0956277Z                         auto tmp8 = std::ceil(tmp7);
2023-01-11T21:01:52.0956384Z                         auto tmp9 = static_cast<float>(37.0);
2023-01-11T21:01:52.0956509Z                         auto tmp10 = (tmp9 != tmp9) ? tmp9 : std::min(tmp8, tmp9);
2023-01-11T21:01:52.0956616Z                         auto tmp11 = static_cast<long>(tmp10);
2023-01-11T21:01:52.0956730Z                         auto tmp12 = in_ptr0[tmp11 + (38*tmp4) + (1406*i0)];
2023-01-11T21:01:52.0956824Z                         auto tmp13 = static_cast<float>(1.0);
2023-01-11T21:01:52.0956929Z                         auto tmp14 = static_cast<float>(tmp4);
2023-01-11T21:01:52.0957069Z                         auto tmp15 = tmp2 - tmp14;
2023-01-11T21:01:52.0957210Z                         auto tmp16 = tmp13 - tmp15;
2023-01-11T21:01:52.0957302Z                         auto tmp17 = tmp12 * tmp16;
2023-01-11T21:01:52.0957404Z                         auto tmp18 = std::ceil(tmp2);
2023-01-11T21:01:52.0957508Z                         auto tmp19 = static_cast<float>(36.0);
2023-01-11T21:01:52.0957638Z                         auto tmp20 = (tmp19 != tmp19) ? tmp19 : std::min(tmp18, tmp19);
2023-01-11T21:01:52.0957731Z                         auto tmp21 = static_cast<long>(tmp20);
2023-01-11T21:01:52.0957843Z                         auto tmp22 = in_ptr0[tmp11 + (38*tmp21) + (1406*i0)];
2023-01-11T21:01:52.0957935Z                         auto tmp23 = tmp22 * tmp15;
2023-01-11T21:01:52.0958025Z                         auto tmp24 = tmp17 + tmp23;
2023-01-11T21:01:52.0958123Z                         auto tmp25 = std::floor(tmp7);
2023-01-11T21:01:52.0958227Z                         auto tmp26 = static_cast<long>(tmp25);
2023-01-11T21:01:52.0958335Z                         auto tmp27 = static_cast<float>(tmp26);
2023-01-11T21:01:52.0958473Z                         auto tmp28 = tmp7 - tmp27;
2023-01-11T21:01:52.0958555Z                         auto tmp29 = tmp24 * tmp28;
2023-01-11T21:01:52.0958653Z                         out_ptr3[i2 + (76*i1) + (5624*i0)] = tmp29;
2023-01-11T21:01:52.0958715Z                     }
2023-01-11T21:01:52.0958777Z                 }
2023-01-11T21:01:52.0958842Z             }
2023-01-11T21:01:52.0958901Z         }
2023-01-11T21:01:52.0958952Z     }
2023-01-11T21:01:52.0959031Z     for(long i0=0; i0<5624; i0+=1)
2023-01-11T21:01:52.0959090Z     {
2023-01-11T21:01:52.0959219Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2023-01-11T21:01:52.0959346Z         auto tmp1 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i0);
2023-01-11T21:01:52.0959426Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0959514Z         tmp2.store(in_out_ptr1 + 8*i0);
2023-01-11T21:01:52.0959573Z     }
2023-01-11T21:01:52.0959646Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0959725Z     for(long i0=44992; i0<44992; i0+=1)
2023-01-11T21:01:52.0959781Z     {
2023-01-11T21:01:52.0959891Z         auto tmp0 = out_ptr2[i0];
2023-01-11T21:01:52.0959970Z         auto tmp1 = out_ptr3[i0];
2023-01-11T21:01:52.0960049Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0960116Z         in_out_ptr1[i0] = tmp2;
2023-01-11T21:01:52.0960174Z     }
2023-01-11T21:01:52.0960259Z }
2023-01-11T21:01:52.0960336Z ''')
2023-01-11T21:01:52.0960342Z 
2023-01-11T21:01:52.0960347Z 
2023-01-11T21:01:52.0960431Z async_compile.wait(globals())
2023-01-11T21:01:52.0960500Z del async_compile
2023-01-11T21:01:52.0960505Z 
2023-01-11T21:01:52.0960572Z def call(args):
2023-01-11T21:01:52.0960638Z     arg0_1, = args
2023-01-11T21:01:52.0960696Z     args.clear()
2023-01-11T21:01:52.0960916Z     buf0 = empty_strided((2, 4, 45, 45), (8100, 2025, 45, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0961137Z     buf1 = empty_strided((2, 4, 45, 45), (8100, 2025, 45, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0961218Z     buf2 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0961433Z     buf3 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0961653Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0961734Z     buf5 = buf3; del buf3  # reuse
2023-01-11T21:01:52.0961945Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:52.0961999Z     del arg0_1
2023-01-11T21:01:52.0962074Z     return (buf2, buf5, )
2023-01-11T21:01:52.0962079Z 
2023-01-11T21:01:52.0962084Z 
2023-01-11T21:01:52.0962155Z if __name__ == "__main__":
2023-01-11T21:01:52.0962264Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0962387Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0962604Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0962709Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0962975Z [2023-01-11 20:59:48,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 454
2023-01-11T21:01:52.0962980Z 
2023-01-11T21:01:52.0963034Z ok (2.556s)
2023-01-11T21:01:52.0963672Z   test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0963804Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0964063Z [2023-01-11 20:59:48,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 455
2023-01-11T21:01:52.0964325Z [2023-01-11 20:59:50,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 455
2023-01-11T21:01:52.0964332Z 
2023-01-11T21:01:52.0964424Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0964492Z import torch
2023-01-11T21:01:52.0964558Z import random
2023-01-11T21:01:52.0964669Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0964779Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0964785Z 
2023-01-11T21:01:52.0964859Z aten = torch.ops.aten
2023-01-11T21:01:52.0964990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0965079Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0965084Z 
2023-01-11T21:01:52.0965089Z 
2023-01-11T21:01:52.0965219Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0965421Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0965536Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.0965638Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0965772Z                        float* __restrict__ out_ptr1)
2023-01-11T21:01:52.0965832Z {
2023-01-11T21:01:52.0965915Z     auto out_ptr0 = in_out_ptr0;
2023-01-11T21:01:52.0965988Z     #pragma GCC ivdep
2023-01-11T21:01:52.0966064Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0966156Z     {
2023-01-11T21:01:52.0966233Z         #pragma GCC ivdep
2023-01-11T21:01:52.0966302Z         for(long i1=0; i1<80; i1+=1)
2023-01-11T21:01:52.0966363Z         {
2023-01-11T21:01:52.0966440Z             #pragma GCC ivdep
2023-01-11T21:01:52.0966524Z             for(long i2=0; i2<118; i2+=1)
2023-01-11T21:01:52.0966586Z             {
2023-01-11T21:01:52.0966651Z                 {
2023-01-11T21:01:52.0966703Z                     {
2023-01-11T21:01:52.0966808Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0966921Z                         auto tmp1 = static_cast<float>(0.4936708860759494);
2023-01-11T21:01:52.0967012Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0967118Z                         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:52.0967222Z                         auto tmp4 = static_cast<long>(tmp3);
2023-01-11T21:01:52.0967323Z                         auto tmp5 = static_cast<float>(i2);
2023-01-11T21:01:52.0967436Z                         auto tmp6 = static_cast<float>(0.49572649572649574);
2023-01-11T21:01:52.0967516Z                         auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:52.0967614Z                         auto tmp8 = std::floor(tmp7);
2023-01-11T21:01:52.0967718Z                         auto tmp9 = static_cast<long>(tmp8);
2023-01-11T21:01:52.0967830Z                         auto tmp10 = in_ptr0[tmp9 + (59*tmp4) + (2360*i0)];
2023-01-11T21:01:52.0967934Z                         auto tmp11 = static_cast<float>(1.0);
2023-01-11T21:01:52.0968040Z                         auto tmp12 = static_cast<float>(tmp4);
2023-01-11T21:01:52.0968183Z                         auto tmp13 = tmp2 - tmp12;
2023-01-11T21:01:52.0968325Z                         auto tmp14 = tmp11 - tmp13;
2023-01-11T21:01:52.0968406Z                         auto tmp15 = tmp10 * tmp14;
2023-01-11T21:01:52.0968504Z                         auto tmp16 = std::ceil(tmp2);
2023-01-11T21:01:52.0968608Z                         auto tmp17 = static_cast<float>(39.0);
2023-01-11T21:01:52.0968734Z                         auto tmp18 = (tmp17 != tmp17) ? tmp17 : std::min(tmp16, tmp17);
2023-01-11T21:01:52.0968838Z                         auto tmp19 = static_cast<long>(tmp18);
2023-01-11T21:01:52.0968950Z                         auto tmp20 = in_ptr0[tmp9 + (59*tmp19) + (2360*i0)];
2023-01-11T21:01:52.0969043Z                         auto tmp21 = tmp20 * tmp13;
2023-01-11T21:01:52.0969120Z                         auto tmp22 = tmp15 + tmp21;
2023-01-11T21:01:52.0969224Z                         auto tmp23 = static_cast<float>(tmp9);
2023-01-11T21:01:52.0969363Z                         auto tmp24 = tmp7 - tmp23;
2023-01-11T21:01:52.0969502Z                         auto tmp25 = tmp11 - tmp24;
2023-01-11T21:01:52.0969590Z                         auto tmp26 = tmp22 * tmp25;
2023-01-11T21:01:52.0969693Z                         out_ptr0[i2 + (118*i1) + (9440*i0)] = tmp26;
2023-01-11T21:01:52.0969757Z                     }
2023-01-11T21:01:52.0969820Z                 }
2023-01-11T21:01:52.0969871Z             }
2023-01-11T21:01:52.0969932Z         }
2023-01-11T21:01:52.0969990Z     }
2023-01-11T21:01:52.0970063Z     #pragma GCC ivdep
2023-01-11T21:01:52.0970140Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.0970199Z     {
2023-01-11T21:01:52.0970262Z         #pragma GCC ivdep
2023-01-11T21:01:52.0970341Z         for(long i1=0; i1<80; i1+=1)
2023-01-11T21:01:52.0970401Z         {
2023-01-11T21:01:52.0970479Z             #pragma GCC ivdep
2023-01-11T21:01:52.0970559Z             for(long i2=0; i2<118; i2+=1)
2023-01-11T21:01:52.0970621Z             {
2023-01-11T21:01:52.0970682Z                 {
2023-01-11T21:01:52.0970733Z                     {
2023-01-11T21:01:52.0970837Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0971008Z                         auto tmp1 = static_cast<float>(0.4936708860759494);
2023-01-11T21:01:52.0971101Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0971226Z                         auto tmp3 = std::floor(tmp2);
2023-01-11T21:01:52.0971332Z                         auto tmp4 = static_cast<long>(tmp3);
2023-01-11T21:01:52.0971435Z                         auto tmp5 = static_cast<float>(i2);
2023-01-11T21:01:52.0971538Z                         auto tmp6 = static_cast<float>(0.49572649572649574);
2023-01-11T21:01:52.0971629Z                         auto tmp7 = tmp5 * tmp6;
2023-01-11T21:01:52.0971724Z                         auto tmp8 = std::ceil(tmp7);
2023-01-11T21:01:52.0971829Z                         auto tmp9 = static_cast<float>(58.0);
2023-01-11T21:01:52.0971956Z                         auto tmp10 = (tmp9 != tmp9) ? tmp9 : std::min(tmp8, tmp9);
2023-01-11T21:01:52.0972061Z                         auto tmp11 = static_cast<long>(tmp10);
2023-01-11T21:01:52.0972177Z                         auto tmp12 = in_ptr0[tmp11 + (59*tmp4) + (2360*i0)];
2023-01-11T21:01:52.0972283Z                         auto tmp13 = static_cast<float>(1.0);
2023-01-11T21:01:52.0972380Z                         auto tmp14 = static_cast<float>(tmp4);
2023-01-11T21:01:52.0972521Z                         auto tmp15 = tmp2 - tmp14;
2023-01-11T21:01:52.0972660Z                         auto tmp16 = tmp13 - tmp15;
2023-01-11T21:01:52.0972749Z                         auto tmp17 = tmp12 * tmp16;
2023-01-11T21:01:52.0972846Z                         auto tmp18 = std::ceil(tmp2);
2023-01-11T21:01:52.0972950Z                         auto tmp19 = static_cast<float>(39.0);
2023-01-11T21:01:52.0973077Z                         auto tmp20 = (tmp19 != tmp19) ? tmp19 : std::min(tmp18, tmp19);
2023-01-11T21:01:52.0973183Z                         auto tmp21 = static_cast<long>(tmp20);
2023-01-11T21:01:52.0973284Z                         auto tmp22 = in_ptr0[tmp11 + (59*tmp21) + (2360*i0)];
2023-01-11T21:01:52.0973377Z                         auto tmp23 = tmp22 * tmp15;
2023-01-11T21:01:52.0973466Z                         auto tmp24 = tmp17 + tmp23;
2023-01-11T21:01:52.0973564Z                         auto tmp25 = std::floor(tmp7);
2023-01-11T21:01:52.0973671Z                         auto tmp26 = static_cast<long>(tmp25);
2023-01-11T21:01:52.0973776Z                         auto tmp27 = static_cast<float>(tmp26);
2023-01-11T21:01:52.0973914Z                         auto tmp28 = tmp7 - tmp27;
2023-01-11T21:01:52.0973993Z                         auto tmp29 = tmp24 * tmp28;
2023-01-11T21:01:52.0974096Z                         out_ptr1[i2 + (118*i1) + (9440*i0)] = tmp29;
2023-01-11T21:01:52.0974160Z                     }
2023-01-11T21:01:52.0974225Z                 }
2023-01-11T21:01:52.0974285Z             }
2023-01-11T21:01:52.0974344Z         }
2023-01-11T21:01:52.0974400Z     }
2023-01-11T21:01:52.0974469Z     for(long i0=0; i0<2360; i0+=1)
2023-01-11T21:01:52.0974526Z     {
2023-01-11T21:01:52.0974656Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2023-01-11T21:01:52.0974781Z         auto tmp1 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:52.0974862Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0974950Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.0975009Z     }
2023-01-11T21:01:52.0975082Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.0975163Z     for(long i0=18880; i0<18880; i0+=1)
2023-01-11T21:01:52.0975221Z     {
2023-01-11T21:01:52.0975301Z         auto tmp0 = out_ptr0[i0];
2023-01-11T21:01:52.0975380Z         auto tmp1 = out_ptr1[i0];
2023-01-11T21:01:52.0975457Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.0975533Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.0975579Z     }
2023-01-11T21:01:52.0975636Z }
2023-01-11T21:01:52.0975712Z ''')
2023-01-11T21:01:52.0975718Z 
2023-01-11T21:01:52.0975722Z 
2023-01-11T21:01:52.0975807Z async_compile.wait(globals())
2023-01-11T21:01:52.0975878Z del async_compile
2023-01-11T21:01:52.0975911Z 
2023-01-11T21:01:52.0975978Z def call(args):
2023-01-11T21:01:52.0976043Z     arg0_1, = args
2023-01-11T21:01:52.0976101Z     args.clear()
2023-01-11T21:01:52.0976347Z     buf0 = empty_strided((1, 2, 80, 118), (18880, 9440, 118, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0976568Z     buf1 = empty_strided((1, 2, 80, 118), (18880, 9440, 118, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0976651Z     buf2 = buf0; del buf0  # reuse
2023-01-11T21:01:52.0976807Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.0976874Z     del arg0_1
2023-01-11T21:01:52.0976939Z     return (buf2, )
2023-01-11T21:01:52.0976944Z 
2023-01-11T21:01:52.0976949Z 
2023-01-11T21:01:52.0977021Z if __name__ == "__main__":
2023-01-11T21:01:52.0977124Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0977244Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0977465Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0977569Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0977575Z 
2023-01-11T21:01:52.0977636Z ok (1.895s)
2023-01-11T21:01:52.0978089Z   test_upsample_nearest1d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0978214Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0978472Z [2023-01-11 20:59:50,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 456
2023-01-11T21:01:52.0978734Z [2023-01-11 20:59:51,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 456
2023-01-11T21:01:52.0978741Z 
2023-01-11T21:01:52.0978835Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0978891Z import torch
2023-01-11T21:01:52.0978957Z import random
2023-01-11T21:01:52.0979068Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0979187Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0979192Z 
2023-01-11T21:01:52.0979268Z aten = torch.ops.aten
2023-01-11T21:01:52.0979400Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0979490Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0979495Z 
2023-01-11T21:01:52.0979499Z 
2023-01-11T21:01:52.0979629Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0979820Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0979935Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0980031Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0980126Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0980219Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0980309Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.0980399Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:52.0980447Z {
2023-01-11T21:01:52.0980520Z     #pragma GCC ivdep
2023-01-11T21:01:52.0980596Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0980655Z     {
2023-01-11T21:01:52.0980730Z         #pragma GCC ivdep
2023-01-11T21:01:52.0980809Z         for(long i1=0; i1<74; i1+=1)
2023-01-11T21:01:52.0980870Z         {
2023-01-11T21:01:52.0980919Z             {
2023-01-11T21:01:52.0980980Z                 {
2023-01-11T21:01:52.0981080Z                     auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0981182Z                     auto tmp1 = static_cast<float>(0.5);
2023-01-11T21:01:52.0981271Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0981372Z                     auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.0981502Z                     auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2023-01-11T21:01:52.0981582Z                     out_ptr0[i1 + (74*i0)] = tmp4;
2023-01-11T21:01:52.0981693Z                     out_ptr1[i1 + (74*i0)] = tmp4;
2023-01-11T21:01:52.0981756Z                 }
2023-01-11T21:01:52.0981816Z             }
2023-01-11T21:01:52.0981876Z         }
2023-01-11T21:01:52.0981935Z     }
2023-01-11T21:01:52.0981996Z     #pragma GCC ivdep
2023-01-11T21:01:52.0982070Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0982127Z     {
2023-01-11T21:01:52.0982199Z         #pragma GCC ivdep
2023-01-11T21:01:52.0982276Z         for(long i1=0; i1<70; i1+=1)
2023-01-11T21:01:52.0982336Z         {
2023-01-11T21:01:52.0982398Z             {
2023-01-11T21:01:52.0982447Z                 {
2023-01-11T21:01:52.0982550Z                     auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0982661Z                     auto tmp1 = static_cast<float>(0.5285714285714286);
2023-01-11T21:01:52.0982752Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0982852Z                     auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.0982950Z                     auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2023-01-11T21:01:52.0983041Z                     out_ptr2[i1 + (70*i0)] = tmp4;
2023-01-11T21:01:52.0983092Z                 }
2023-01-11T21:01:52.0983153Z             }
2023-01-11T21:01:52.0983211Z         }
2023-01-11T21:01:52.0983269Z     }
2023-01-11T21:01:52.0983336Z     #pragma GCC ivdep
2023-01-11T21:01:52.0983411Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0983471Z     {
2023-01-11T21:01:52.0983532Z         #pragma GCC ivdep
2023-01-11T21:01:52.0983610Z         for(long i1=0; i1<45; i1+=1)
2023-01-11T21:01:52.0983668Z         {
2023-01-11T21:01:52.0983728Z             {
2023-01-11T21:01:52.0983788Z                 {
2023-01-11T21:01:52.0983889Z                     auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0983988Z                     auto tmp1 = static_cast<float>(0.8222222222222222);
2023-01-11T21:01:52.0984079Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0984179Z                     auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.0984281Z                     auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2023-01-11T21:01:52.0984370Z                     out_ptr3[i1 + (45*i0)] = tmp4;
2023-01-11T21:01:52.0984431Z                 }
2023-01-11T21:01:52.0984492Z             }
2023-01-11T21:01:52.0984540Z         }
2023-01-11T21:01:52.0984599Z     }
2023-01-11T21:01:52.0984670Z     #pragma GCC ivdep
2023-01-11T21:01:52.0984745Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.0984802Z     {
2023-01-11T21:01:52.0984873Z         #pragma GCC ivdep
2023-01-11T21:01:52.0984951Z         for(long i1=0; i1<36; i1+=1)
2023-01-11T21:01:52.0985000Z         {
2023-01-11T21:01:52.0985060Z             {
2023-01-11T21:01:52.0985121Z                 {
2023-01-11T21:01:52.0985220Z                     auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.0985331Z                     auto tmp1 = static_cast<float>(1.0277777777777777);
2023-01-11T21:01:52.0985418Z                     auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.0985516Z                     auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.0985605Z                     auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2023-01-11T21:01:52.0985694Z                     out_ptr4[i1 + (36*i0)] = tmp4;
2023-01-11T21:01:52.0985754Z                 }
2023-01-11T21:01:52.0985811Z             }
2023-01-11T21:01:52.0985870Z         }
2023-01-11T21:01:52.0985927Z     }
2023-01-11T21:01:52.0985984Z }
2023-01-11T21:01:52.0986050Z ''')
2023-01-11T21:01:52.0986056Z 
2023-01-11T21:01:52.0986060Z 
2023-01-11T21:01:52.0986148Z async_compile.wait(globals())
2023-01-11T21:01:52.0986218Z del async_compile
2023-01-11T21:01:52.0986223Z 
2023-01-11T21:01:52.0986289Z def call(args):
2023-01-11T21:01:52.0986353Z     arg0_1, = args
2023-01-11T21:01:52.0986421Z     args.clear()
2023-01-11T21:01:52.0986657Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0986845Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0987062Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0987255Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0987445Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0987675Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.0987740Z     del arg0_1
2023-01-11T21:01:52.0987833Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:52.0987838Z 
2023-01-11T21:01:52.0987843Z 
2023-01-11T21:01:52.0987918Z if __name__ == "__main__":
2023-01-11T21:01:52.0988028Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.0988138Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.0988342Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.0988449Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.0988454Z 
2023-01-11T21:01:52.0988517Z ok (1.865s)
2023-01-11T21:01:52.0988977Z   test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.0989102Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.0989360Z [2023-01-11 20:59:51,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 457
2023-01-11T21:01:52.0989368Z 
2023-01-11T21:01:52.0989459Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.0989524Z import torch
2023-01-11T21:01:52.0989580Z import random
2023-01-11T21:01:52.0989693Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.0989809Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.0989814Z 
2023-01-11T21:01:52.0989889Z aten = torch.ops.aten
2023-01-11T21:01:52.0990018Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.0990107Z async_compile = AsyncCompile()
2023-01-11T21:01:52.0990112Z 
2023-01-11T21:01:52.0990116Z 
2023-01-11T21:01:52.0990248Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.0990448Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.0990555Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.0990653Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.0990750Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.0990842Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.0990934Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.0991024Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:52.0991081Z {
2023-01-11T21:01:52.0991142Z     #pragma GCC ivdep
2023-01-11T21:01:52.0991220Z     for(long i0=0; i0<27; i0+=1)
2023-01-11T21:01:52.0991278Z     {
2023-01-11T21:01:52.0991352Z         #pragma GCC ivdep
2023-01-11T21:01:52.0991430Z         for(long i1=0; i1<6; i1+=1)
2023-01-11T21:01:52.0991492Z         {
2023-01-11T21:01:52.0991552Z             {
2023-01-11T21:01:52.0991602Z                 {
2023-01-11T21:01:52.0991701Z                     auto tmp0 = in_ptr0[(2*i1) + (24*i0)];
2023-01-11T21:01:52.0991802Z                     auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)];
2023-01-11T21:01:52.0991904Z                     auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)];
2023-01-11T21:01:52.0992036Z                     auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)];
2023-01-11T21:01:52.0992123Z                     auto tmp2 = tmp1 + tmp0;
2023-01-11T21:01:52.0992211Z                     auto tmp4 = tmp3 + tmp2;
2023-01-11T21:01:52.0992323Z                     auto tmp6 = tmp5 + tmp4;
2023-01-11T21:01:52.0992427Z                     auto tmp7 = static_cast<float>(1.0);
2023-01-11T21:01:52.0992514Z                     auto tmp8 = tmp6 * tmp7;
2023-01-11T21:01:52.0992603Z                     out_ptr0[i1 + (6*i0)] = tmp8;
2023-01-11T21:01:52.0992664Z                 }
2023-01-11T21:01:52.0992724Z             }
2023-01-11T21:01:52.0992783Z         }
2023-01-11T21:01:52.0992831Z     }
2023-01-11T21:01:52.0992979Z     #pragma GCC ivdep
2023-01-11T21:01:52.0993058Z     for(long i0=0; i0<9; i0+=1)
2023-01-11T21:01:52.0993117Z     {
2023-01-11T21:01:52.0993191Z         #pragma GCC ivdep
2023-01-11T21:01:52.0993268Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.0993328Z         {
2023-01-11T21:01:52.0993396Z             #pragma GCC ivdep
2023-01-11T21:01:52.0993473Z             for(long i2=0; i2<5; i2+=1)
2023-01-11T21:01:52.0993533Z             {
2023-01-11T21:01:52.0993594Z                 {
2023-01-11T21:01:52.0993658Z                     {
2023-01-11T21:01:52.0993773Z                         auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2023-01-11T21:01:52.0993873Z                         auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2023-01-11T21:01:52.0993966Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:52.0994078Z                         auto tmp3 = static_cast<long>(((4 + (12*i2)) / 5));
2023-01-11T21:01:52.0994191Z                         auto tmp4 = static_cast<long>(((16 + (12*i2)) / 5));
2023-01-11T21:01:52.0994283Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:52.0994374Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:52.0994458Z                         float tmp7 = 0.0;
2023-01-11T21:01:52.0994530Z                         if(tmp6)
2023-01-11T21:01:52.0994584Z                         {
2023-01-11T21:01:52.0994706Z                             auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2023-01-11T21:01:52.0994787Z                             tmp7 = tmp8;
2023-01-11T21:01:52.0994850Z                         }
2023-01-11T21:01:52.0994966Z                         auto tmp9 = static_cast<long>(1 + (((4 + (12*i2)) / 5)));
2023-01-11T21:01:52.0995058Z                         auto tmp10 = tmp9 < tmp4;
2023-01-11T21:01:52.0995149Z                         auto tmp11 = tmp2 & tmp10;
2023-01-11T21:01:52.0995221Z                         float tmp12 = 0.0;
2023-01-11T21:01:52.0995294Z                         if(tmp11)
2023-01-11T21:01:52.0995358Z                         {
2023-01-11T21:01:52.0995480Z                             auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2023-01-11T21:01:52.0995560Z                             tmp12 = tmp13;
2023-01-11T21:01:52.0995627Z                         }
2023-01-11T21:01:52.0995719Z                         auto tmp14 = tmp12 + tmp7;
2023-01-11T21:01:52.0995834Z                         auto tmp15 = static_cast<long>(2 + (((4 + (12*i2)) / 5)));
2023-01-11T21:01:52.0995916Z                         auto tmp16 = tmp15 < tmp4;
2023-01-11T21:01:52.0996003Z                         auto tmp17 = tmp2 & tmp16;
2023-01-11T21:01:52.0996083Z                         float tmp18 = 0.0;
2023-01-11T21:01:52.0996155Z                         if(tmp17)
2023-01-11T21:01:52.0996220Z                         {
2023-01-11T21:01:52.0996343Z                             auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2023-01-11T21:01:52.0996423Z                             tmp18 = tmp19;
2023-01-11T21:01:52.0996476Z                         }
2023-01-11T21:01:52.0996568Z                         auto tmp20 = tmp18 + tmp14;
2023-01-11T21:01:52.0996681Z                         auto tmp21 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2023-01-11T21:01:52.0996808Z                         auto tmp22 = tmp21 < tmp1;
2023-01-11T21:01:52.0996894Z                         auto tmp23 = tmp22 & tmp5;
2023-01-11T21:01:52.0996973Z                         float tmp24 = 0.0;
2023-01-11T21:01:52.0997072Z                         if(tmp23)
2023-01-11T21:01:52.0997127Z                         {
2023-01-11T21:01:52.0997253Z                             auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2023-01-11T21:01:52.0997332Z                             tmp24 = tmp25;
2023-01-11T21:01:52.0997396Z                         }
2023-01-11T21:01:52.0997486Z                         auto tmp26 = tmp24 + tmp20;
2023-01-11T21:01:52.0997576Z                         auto tmp27 = tmp22 & tmp10;
2023-01-11T21:01:52.0997658Z                         float tmp28 = 0.0;
2023-01-11T21:01:52.0997720Z                         if(tmp27)
2023-01-11T21:01:52.0997783Z                         {
2023-01-11T21:01:52.0997908Z                             auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2023-01-11T21:01:52.0997984Z                             tmp28 = tmp29;
2023-01-11T21:01:52.0998049Z                         }
2023-01-11T21:01:52.0998143Z                         auto tmp30 = tmp28 + tmp26;
2023-01-11T21:01:52.0998231Z                         auto tmp31 = tmp22 & tmp16;
2023-01-11T21:01:52.0998311Z                         float tmp32 = 0.0;
2023-01-11T21:01:52.0998372Z                         if(tmp31)
2023-01-11T21:01:52.0998438Z                         {
2023-01-11T21:01:52.0998560Z                             auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2023-01-11T21:01:52.0998637Z                             tmp32 = tmp33;
2023-01-11T21:01:52.0998700Z                         }
2023-01-11T21:01:52.0998791Z                         auto tmp34 = tmp32 + tmp30;
2023-01-11T21:01:52.0998891Z                         out_ptr1[i2 + (5*i1) + (20*i0)] = tmp34;
2023-01-11T21:01:52.0998946Z                     }
2023-01-11T21:01:52.0999008Z                 }
2023-01-11T21:01:52.0999069Z             }
2023-01-11T21:01:52.0999127Z         }
2023-01-11T21:01:52.0999186Z     }
2023-01-11T21:01:52.0999262Z     #pragma GCC ivdep
2023-01-11T21:01:52.0999327Z     for(long i0=0; i0<9; i0+=1)
2023-01-11T21:01:52.0999386Z     {
2023-01-11T21:01:52.0999456Z         #pragma GCC ivdep
2023-01-11T21:01:52.0999532Z         for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:52.0999592Z         {
2023-01-11T21:01:52.0999667Z             #pragma GCC ivdep
2023-01-11T21:01:52.0999746Z             for(long i2=0; i2<8; i2+=1)
2023-01-11T21:01:52.0999796Z             {
2023-01-11T21:01:52.0999857Z                 {
2023-01-11T21:01:52.0999921Z                     {
2023-01-11T21:01:52.1000025Z                         auto tmp0 = static_cast<long>(3*i1);
2023-01-11T21:01:52.1000132Z                         auto tmp1 = static_cast<long>(3 + (3*i1));
2023-01-11T21:01:52.1000226Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:52.1000337Z                         auto tmp3 = static_cast<long>(((7 + (12*i2)) / 8));
2023-01-11T21:01:52.1000442Z                         auto tmp4 = static_cast<long>(((19 + (12*i2)) / 8));
2023-01-11T21:01:52.1000531Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:52.1000622Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:52.1000702Z                         float tmp7 = 0.0;
2023-01-11T21:01:52.1000774Z                         if(tmp6)
2023-01-11T21:01:52.1000839Z                         {
2023-01-11T21:01:52.1000956Z                             auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1001034Z                             tmp7 = tmp8;
2023-01-11T21:01:52.1001088Z                         }
2023-01-11T21:01:52.1001200Z                         auto tmp9 = static_cast<long>(1 + (((7 + (12*i2)) / 8)));
2023-01-11T21:01:52.1001291Z                         auto tmp10 = tmp9 < tmp4;
2023-01-11T21:01:52.1001410Z                         auto tmp11 = tmp2 & tmp10;
2023-01-11T21:01:52.1001492Z                         float tmp12 = 0.0;
2023-01-11T21:01:52.1001565Z                         if(tmp11)
2023-01-11T21:01:52.1001661Z                         {
2023-01-11T21:01:52.1001770Z                             auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1001850Z                             tmp12 = tmp13;
2023-01-11T21:01:52.1001912Z                         }
2023-01-11T21:01:52.1002001Z                         auto tmp14 = tmp12 + tmp7;
2023-01-11T21:01:52.1002108Z                         auto tmp15 = static_cast<long>(1 + (3*i1));
2023-01-11T21:01:52.1002198Z                         auto tmp16 = tmp15 < tmp1;
2023-01-11T21:01:52.1002284Z                         auto tmp17 = tmp16 & tmp5;
2023-01-11T21:01:52.1002355Z                         float tmp18 = 0.0;
2023-01-11T21:01:52.1002427Z                         if(tmp17)
2023-01-11T21:01:52.1002493Z                         {
2023-01-11T21:01:52.1002608Z                             auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1002686Z                             tmp18 = tmp19;
2023-01-11T21:01:52.1002751Z                         }
2023-01-11T21:01:52.1002842Z                         auto tmp20 = tmp18 + tmp14;
2023-01-11T21:01:52.1002921Z                         auto tmp21 = tmp16 & tmp10;
2023-01-11T21:01:52.1003004Z                         float tmp22 = 0.0;
2023-01-11T21:01:52.1003076Z                         if(tmp21)
2023-01-11T21:01:52.1003140Z                         {
2023-01-11T21:01:52.1003255Z                             auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1003334Z                             tmp22 = tmp23;
2023-01-11T21:01:52.1003545Z                         }
2023-01-11T21:01:52.1003666Z                         auto tmp24 = tmp22 + tmp20;
2023-01-11T21:01:52.1003778Z                         auto tmp25 = static_cast<long>(2 + (3*i1));
2023-01-11T21:01:52.1003868Z                         auto tmp26 = tmp25 < tmp1;
2023-01-11T21:01:52.1003957Z                         auto tmp27 = tmp26 & tmp5;
2023-01-11T21:01:52.1004041Z                         float tmp28 = 0.0;
2023-01-11T21:01:52.1004113Z                         if(tmp27)
2023-01-11T21:01:52.1004177Z                         {
2023-01-11T21:01:52.1004291Z                             auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1004359Z                             tmp28 = tmp29;
2023-01-11T21:01:52.1004424Z                         }
2023-01-11T21:01:52.1004513Z                         auto tmp30 = tmp28 + tmp24;
2023-01-11T21:01:52.1004602Z                         auto tmp31 = tmp26 & tmp10;
2023-01-11T21:01:52.1004683Z                         float tmp32 = 0.0;
2023-01-11T21:01:52.1004755Z                         if(tmp31)
2023-01-11T21:01:52.1004820Z                         {
2023-01-11T21:01:52.1004922Z                             auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1004996Z                             tmp32 = tmp33;
2023-01-11T21:01:52.1005058Z                         }
2023-01-11T21:01:52.1005149Z                         auto tmp34 = tmp32 + tmp30;
2023-01-11T21:01:52.1005228Z                         float tmp35 = 0.0;
2023-01-11T21:01:52.1005299Z                         if(tmp6)
2023-01-11T21:01:52.1005362Z                         {
2023-01-11T21:01:52.1005465Z                             auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1005542Z                             tmp35 = tmp36;
2023-01-11T21:01:52.1005607Z                         }
2023-01-11T21:01:52.1005688Z                         float tmp37 = 0.0;
2023-01-11T21:01:52.1005758Z                         if(tmp11)
2023-01-11T21:01:52.1005824Z                         {
2023-01-11T21:01:52.1005939Z                             auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1006058Z                             tmp37 = tmp38;
2023-01-11T21:01:52.1006121Z                         }
2023-01-11T21:01:52.1006247Z                         auto tmp39 = tmp37 + tmp35;
2023-01-11T21:01:52.1006329Z                         float tmp40 = 0.0;
2023-01-11T21:01:52.1006401Z                         if(tmp17)
2023-01-11T21:01:52.1006466Z                         {
2023-01-11T21:01:52.1006583Z                             auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1006649Z                             tmp40 = tmp41;
2023-01-11T21:01:52.1006714Z                         }
2023-01-11T21:01:52.1006807Z                         auto tmp42 = tmp40 + tmp39;
2023-01-11T21:01:52.1006887Z                         float tmp43 = 0.0;
2023-01-11T21:01:52.1006957Z                         if(tmp21)
2023-01-11T21:01:52.1007022Z                         {
2023-01-11T21:01:52.1007136Z                             auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1007217Z                             tmp43 = tmp44;
2023-01-11T21:01:52.1007270Z                         }
2023-01-11T21:01:52.1007361Z                         auto tmp45 = tmp43 + tmp42;
2023-01-11T21:01:52.1007444Z                         float tmp46 = 0.0;
2023-01-11T21:01:52.1007516Z                         if(tmp27)
2023-01-11T21:01:52.1007581Z                         {
2023-01-11T21:01:52.1007693Z                             auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1007769Z                             tmp46 = tmp47;
2023-01-11T21:01:52.1007822Z                         }
2023-01-11T21:01:52.1007911Z                         auto tmp48 = tmp46 + tmp45;
2023-01-11T21:01:52.1007992Z                         float tmp49 = 0.0;
2023-01-11T21:01:52.1008065Z                         if(tmp31)
2023-01-11T21:01:52.1008129Z                         {
2023-01-11T21:01:52.1008242Z                             auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2023-01-11T21:01:52.1008319Z                             tmp49 = tmp50;
2023-01-11T21:01:52.1008372Z                         }
2023-01-11T21:01:52.1008465Z                         auto tmp51 = tmp49 + tmp48;
2023-01-11T21:01:52.1008563Z                         out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34;
2023-01-11T21:01:52.1008661Z                         out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51;
2023-01-11T21:01:52.1008726Z                     }
2023-01-11T21:01:52.1008788Z                 }
2023-01-11T21:01:52.1008847Z             }
2023-01-11T21:01:52.1008895Z         }
2023-01-11T21:01:52.1008953Z     }
2023-01-11T21:01:52.1009028Z     #pragma GCC ivdep
2023-01-11T21:01:52.1009105Z     for(long i0=0; i0<9; i0+=1)
2023-01-11T21:01:52.1009165Z     {
2023-01-11T21:01:52.1009240Z         #pragma GCC ivdep
2023-01-11T21:01:52.1009307Z         for(long i1=0; i1<4; i1+=1)
2023-01-11T21:01:52.1009367Z         {
2023-01-11T21:01:52.1009441Z             #pragma GCC ivdep
2023-01-11T21:01:52.1009520Z             for(long i2=0; i2<7; i2+=1)
2023-01-11T21:01:52.1009580Z             {
2023-01-11T21:01:52.1009639Z                 {
2023-01-11T21:01:52.1009704Z                     {
2023-01-11T21:01:52.1009805Z                         auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2023-01-11T21:01:52.1009918Z                         auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2023-01-11T21:01:52.1010010Z                         auto tmp2 = tmp0 < tmp1;
2023-01-11T21:01:52.1010122Z                         auto tmp3 = static_cast<long>(((6 + (12*i2)) / 7));
2023-01-11T21:01:52.1010235Z                         auto tmp4 = static_cast<long>(((18 + (12*i2)) / 7));
2023-01-11T21:01:52.1010326Z                         auto tmp5 = tmp3 < tmp4;
2023-01-11T21:01:52.1010416Z                         auto tmp6 = tmp2 & tmp5;
2023-01-11T21:01:52.1010497Z                         float tmp7 = 0.0;
2023-01-11T21:01:52.1010587Z                         if(tmp6)
2023-01-11T21:01:52.1010651Z                         {
2023-01-11T21:01:52.1010772Z                             auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2023-01-11T21:01:52.1010875Z                             tmp7 = tmp8;
2023-01-11T21:01:52.1010941Z                         }
2023-01-11T21:01:52.1011057Z                         auto tmp9 = static_cast<long>(1 + (((6 + (12*i2)) / 7)));
2023-01-11T21:01:52.1011148Z                         auto tmp10 = tmp9 < tmp4;
2023-01-11T21:01:52.1011228Z                         auto tmp11 = tmp2 & tmp10;
2023-01-11T21:01:52.1011310Z                         float tmp12 = 0.0;
2023-01-11T21:01:52.1011380Z                         if(tmp11)
2023-01-11T21:01:52.1011441Z                         {
2023-01-11T21:01:52.1011564Z                             auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2023-01-11T21:01:52.1011646Z                             tmp12 = tmp13;
2023-01-11T21:01:52.1011713Z                         }
2023-01-11T21:01:52.1011794Z                         auto tmp14 = tmp12 + tmp7;
2023-01-11T21:01:52.1011911Z                         auto tmp15 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2023-01-11T21:01:52.1012003Z                         auto tmp16 = tmp15 < tmp1;
2023-01-11T21:01:52.1012089Z                         auto tmp17 = tmp16 & tmp5;
2023-01-11T21:01:52.1012172Z                         float tmp18 = 0.0;
2023-01-11T21:01:52.1012244Z                         if(tmp17)
2023-01-11T21:01:52.1012309Z                         {
2023-01-11T21:01:52.1012434Z                             auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2023-01-11T21:01:52.1012503Z                             tmp18 = tmp19;
2023-01-11T21:01:52.1012568Z                         }
2023-01-11T21:01:52.1012659Z                         auto tmp20 = tmp18 + tmp14;
2023-01-11T21:01:52.1012748Z                         auto tmp21 = tmp16 & tmp10;
2023-01-11T21:01:52.1012830Z                         float tmp22 = 0.0;
2023-01-11T21:01:52.1012903Z                         if(tmp21)
2023-01-11T21:01:52.1012966Z                         {
2023-01-11T21:01:52.1013083Z                             auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2023-01-11T21:01:52.1013162Z                             tmp22 = tmp23;
2023-01-11T21:01:52.1013224Z                         }
2023-01-11T21:01:52.1013314Z                         auto tmp24 = tmp22 + tmp20;
2023-01-11T21:01:52.1013414Z                         out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24;
2023-01-11T21:01:52.1013478Z                     }
2023-01-11T21:01:52.1013538Z                 }
2023-01-11T21:01:52.1013588Z             }
2023-01-11T21:01:52.1013645Z         }
2023-01-11T21:01:52.1013703Z     }
2023-01-11T21:01:52.1013763Z }
2023-01-11T21:01:52.1013863Z ''')
2023-01-11T21:01:52.1013869Z 
2023-01-11T21:01:52.1013873Z 
2023-01-11T21:01:52.1013963Z async_compile.wait(globals())
2023-01-11T21:01:52.1014032Z del async_compile
2023-01-11T21:01:52.1014037Z 
2023-01-11T21:01:52.1014092Z def call(args):
2023-01-11T21:01:52.1014159Z     arg0_1, = args
2023-01-11T21:01:52.1014227Z     args.clear()
2023-01-11T21:01:52.1014442Z     buf0 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1014648Z     buf1 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1014852Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1015055Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1015254Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1015478Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2023-01-11T21:01:52.1015578Z     del arg0_1
2023-01-11T21:01:52.1015672Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:52.1015677Z 
2023-01-11T21:01:52.1015682Z 
2023-01-11T21:01:52.1015753Z if __name__ == "__main__":
2023-01-11T21:01:52.1015887Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1016008Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1016222Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1016326Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1016581Z [2023-01-11 20:59:53,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 457
2023-01-11T21:01:52.1016598Z 
2023-01-11T21:01:52.1016650Z ok (2.087s)
2023-01-11T21:01:52.1017095Z   test_upsample_nearest2d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1017224Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1017479Z [2023-01-11 20:59:54,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 458
2023-01-11T21:01:52.1017741Z [2023-01-11 20:59:55,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 458
2023-01-11T21:01:52.1017746Z 
2023-01-11T21:01:52.1017839Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1017906Z import torch
2023-01-11T21:01:52.1017973Z import random
2023-01-11T21:01:52.1018073Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1018190Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1018195Z 
2023-01-11T21:01:52.1018270Z aten = torch.ops.aten
2023-01-11T21:01:52.1018402Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1018490Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1018495Z 
2023-01-11T21:01:52.1018499Z 
2023-01-11T21:01:52.1018630Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1018831Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1018946Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1019042Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.1019124Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.1019214Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.1019302Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.1019391Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:52.1019450Z {
2023-01-11T21:01:52.1019523Z     #pragma GCC ivdep
2023-01-11T21:01:52.1019601Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1019651Z     {
2023-01-11T21:01:52.1019725Z         #pragma GCC ivdep
2023-01-11T21:01:52.1019805Z         for(long i1=0; i1<74; i1+=1)
2023-01-11T21:01:52.1019867Z         {
2023-01-11T21:01:52.1019946Z             #pragma GCC ivdep
2023-01-11T21:01:52.1020029Z             for(long i2=0; i2<76; i2+=1)
2023-01-11T21:01:52.1020080Z             {
2023-01-11T21:01:52.1020143Z                 {
2023-01-11T21:01:52.1020207Z                     {
2023-01-11T21:01:52.1020313Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1020420Z                         auto tmp1 = static_cast<float>(0.5);
2023-01-11T21:01:52.1020511Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1028097Z                         auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1028262Z                         auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1028348Z                         auto tmp5 = tmp4 * tmp1;
2023-01-11T21:01:52.1028537Z                         auto tmp6 = static_cast<int>(tmp5);
2023-01-11T21:01:52.1028643Z                         auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)];
2023-01-11T21:01:52.1028744Z                         out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7;
2023-01-11T21:01:52.1028866Z                         out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7;
2023-01-11T21:01:52.1028930Z                     }
2023-01-11T21:01:52.1028989Z                 }
2023-01-11T21:01:52.1029050Z             }
2023-01-11T21:01:52.1029098Z         }
2023-01-11T21:01:52.1029155Z     }
2023-01-11T21:01:52.1029231Z     #pragma GCC ivdep
2023-01-11T21:01:52.1029308Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1029366Z     {
2023-01-11T21:01:52.1029439Z         #pragma GCC ivdep
2023-01-11T21:01:52.1029509Z         for(long i1=0; i1<70; i1+=1)
2023-01-11T21:01:52.1029562Z         {
2023-01-11T21:01:52.1029634Z             #pragma GCC ivdep
2023-01-11T21:01:52.1029709Z             for(long i2=0; i2<75; i2+=1)
2023-01-11T21:01:52.1029764Z             {
2023-01-11T21:01:52.1029817Z                 {
2023-01-11T21:01:52.1029873Z                     {
2023-01-11T21:01:52.1029966Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1030072Z                         auto tmp1 = static_cast<float>(0.5285714285714286);
2023-01-11T21:01:52.1030157Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1030253Z                         auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1030346Z                         auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1030450Z                         auto tmp5 = static_cast<float>(0.5066666666666667);
2023-01-11T21:01:52.1030539Z                         auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.1030628Z                         auto tmp7 = static_cast<int>(tmp6);
2023-01-11T21:01:52.1030736Z                         auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2023-01-11T21:01:52.1030826Z                         out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8;
2023-01-11T21:01:52.1030891Z                     }
2023-01-11T21:01:52.1030952Z                 }
2023-01-11T21:01:52.1031011Z             }
2023-01-11T21:01:52.1031069Z         }
2023-01-11T21:01:52.1031116Z     }
2023-01-11T21:01:52.1031190Z     #pragma GCC ivdep
2023-01-11T21:01:52.1031265Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1031322Z     {
2023-01-11T21:01:52.1031395Z         #pragma GCC ivdep
2023-01-11T21:01:52.1031473Z         for(long i1=0; i1<45; i1+=1)
2023-01-11T21:01:52.1031532Z         {
2023-01-11T21:01:52.1031596Z             #pragma GCC ivdep
2023-01-11T21:01:52.1031678Z             for(long i2=0; i2<74; i2+=1)
2023-01-11T21:01:52.1031735Z             {
2023-01-11T21:01:52.1031793Z                 {
2023-01-11T21:01:52.1031853Z                     {
2023-01-11T21:01:52.1031959Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1032072Z                         auto tmp1 = static_cast<float>(0.8222222222222222);
2023-01-11T21:01:52.1032155Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1032256Z                         auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1032356Z                         auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1032467Z                         auto tmp5 = static_cast<float>(0.5135135135135135);
2023-01-11T21:01:52.1032555Z                         auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.1032655Z                         auto tmp7 = static_cast<int>(tmp6);
2023-01-11T21:01:52.1032767Z                         auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2023-01-11T21:01:52.1032948Z                         out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8;
2023-01-11T21:01:52.1033018Z                     }
2023-01-11T21:01:52.1033079Z                 }
2023-01-11T21:01:52.1033139Z             }
2023-01-11T21:01:52.1033199Z         }
2023-01-11T21:01:52.1033258Z     }
2023-01-11T21:01:52.1033328Z     #pragma GCC ivdep
2023-01-11T21:01:52.1033392Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1033488Z     {
2023-01-11T21:01:52.1033562Z         #pragma GCC ivdep
2023-01-11T21:01:52.1033642Z         for(long i1=0; i1<36; i1+=1)
2023-01-11T21:01:52.1033702Z         {
2023-01-11T21:01:52.1033825Z             #pragma GCC ivdep
2023-01-11T21:01:52.1033897Z             for(long i2=0; i2<39; i2+=1)
2023-01-11T21:01:52.1033959Z             {
2023-01-11T21:01:52.1034020Z                 {
2023-01-11T21:01:52.1034083Z                     {
2023-01-11T21:01:52.1034188Z                         auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1034297Z                         auto tmp1 = static_cast<float>(1.0277777777777777);
2023-01-11T21:01:52.1034388Z                         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1034478Z                         auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1034579Z                         auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1034689Z                         auto tmp5 = static_cast<float>(0.9743589743589743);
2023-01-11T21:01:52.1034779Z                         auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.1034878Z                         auto tmp7 = static_cast<int>(tmp6);
2023-01-11T21:01:52.1034992Z                         auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2023-01-11T21:01:52.1035089Z                         out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8;
2023-01-11T21:01:52.1035153Z                     }
2023-01-11T21:01:52.1035203Z                 }
2023-01-11T21:01:52.1035263Z             }
2023-01-11T21:01:52.1035321Z         }
2023-01-11T21:01:52.1035380Z     }
2023-01-11T21:01:52.1035439Z }
2023-01-11T21:01:52.1035543Z ''')
2023-01-11T21:01:52.1035550Z 
2023-01-11T21:01:52.1035554Z 
2023-01-11T21:01:52.1035643Z async_compile.wait(globals())
2023-01-11T21:01:52.1035702Z del async_compile
2023-01-11T21:01:52.1035707Z 
2023-01-11T21:01:52.1035774Z def call(args):
2023-01-11T21:01:52.1035838Z     arg0_1, = args
2023-01-11T21:01:52.1035908Z     args.clear()
2023-01-11T21:01:52.1036139Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1036359Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1036578Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1036792Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1036996Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1037231Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.1037298Z     del arg0_1
2023-01-11T21:01:52.1037393Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:52.1037399Z 
2023-01-11T21:01:52.1037404Z 
2023-01-11T21:01:52.1037477Z if __name__ == "__main__":
2023-01-11T21:01:52.1037588Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1037707Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1037923Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1038018Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1038034Z 
2023-01-11T21:01:52.1038087Z ok (2.028s)
2023-01-11T21:01:52.1038535Z   test_upsample_nearest3d_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1038660Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1038923Z [2023-01-11 20:59:56,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 459
2023-01-11T21:01:52.1039221Z [2023-01-11 20:59:58,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 459
2023-01-11T21:01:52.1039226Z 
2023-01-11T21:01:52.1039346Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1039414Z import torch
2023-01-11T21:01:52.1039478Z import random
2023-01-11T21:01:52.1039578Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1039696Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1039701Z 
2023-01-11T21:01:52.1039775Z aten = torch.ops.aten
2023-01-11T21:01:52.1039907Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1039997Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1040002Z 
2023-01-11T21:01:52.1040007Z 
2023-01-11T21:01:52.1040139Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1040342Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1040458Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1040543Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.1040634Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.1040726Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.1040815Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.1040902Z                        float* __restrict__ out_ptr4)
2023-01-11T21:01:52.1040961Z {
2023-01-11T21:01:52.1041033Z     #pragma GCC ivdep
2023-01-11T21:01:52.1041099Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1041156Z     {
2023-01-11T21:01:52.1041230Z         #pragma GCC ivdep
2023-01-11T21:01:52.1041309Z         for(long i1=0; i1<74; i1+=1)
2023-01-11T21:01:52.1041369Z         {
2023-01-11T21:01:52.1041444Z             #pragma GCC ivdep
2023-01-11T21:01:52.1041525Z             for(long i2=0; i2<76; i2+=1)
2023-01-11T21:01:52.1041577Z             {
2023-01-11T21:01:52.1041653Z                 #pragma GCC ivdep
2023-01-11T21:01:52.1041738Z                 for(long i3=0; i3<78; i3+=1)
2023-01-11T21:01:52.1041799Z                 {
2023-01-11T21:01:52.1041862Z                     {
2023-01-11T21:01:52.1041928Z                         {
2023-01-11T21:01:52.1042034Z                             auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1042129Z                             auto tmp1 = static_cast<float>(0.5);
2023-01-11T21:01:52.1042222Z                             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1042325Z                             auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1042428Z                             auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1042520Z                             auto tmp5 = tmp4 * tmp1;
2023-01-11T21:01:52.1042622Z                             auto tmp6 = static_cast<int>(tmp5);
2023-01-11T21:01:52.1042722Z                             auto tmp7 = static_cast<float>(i3);
2023-01-11T21:01:52.1042805Z                             auto tmp8 = tmp7 * tmp1;
2023-01-11T21:01:52.1042907Z                             auto tmp9 = static_cast<int>(tmp8);
2023-01-11T21:01:52.1043034Z                             auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)];
2023-01-11T21:01:52.1043145Z                             out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2023-01-11T21:01:52.1043249Z                             out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2023-01-11T21:01:52.1043313Z                         }
2023-01-11T21:01:52.1043527Z                     }
2023-01-11T21:01:52.1043625Z                 }
2023-01-11T21:01:52.1043698Z             }
2023-01-11T21:01:52.1043758Z         }
2023-01-11T21:01:52.1043817Z     }
2023-01-11T21:01:52.1043890Z     #pragma GCC ivdep
2023-01-11T21:01:52.1043967Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1044023Z     {
2023-01-11T21:01:52.1044084Z         #pragma GCC ivdep
2023-01-11T21:01:52.1044224Z         for(long i1=0; i1<70; i1+=1)
2023-01-11T21:01:52.1044282Z         {
2023-01-11T21:01:52.1044357Z             #pragma GCC ivdep
2023-01-11T21:01:52.1044438Z             for(long i2=0; i2<75; i2+=1)
2023-01-11T21:01:52.1044498Z             {
2023-01-11T21:01:52.1044609Z                 #pragma GCC ivdep
2023-01-11T21:01:52.1044687Z                 for(long i3=0; i3<80; i3+=1)
2023-01-11T21:01:52.1044748Z                 {
2023-01-11T21:01:52.1044812Z                     {
2023-01-11T21:01:52.1044876Z                         {
2023-01-11T21:01:52.1044979Z                             auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1045095Z                             auto tmp1 = static_cast<float>(0.5285714285714286);
2023-01-11T21:01:52.1045187Z                             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1045279Z                             auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1045381Z                             auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1045495Z                             auto tmp5 = static_cast<float>(0.5066666666666667);
2023-01-11T21:01:52.1045586Z                             auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.1045689Z                             auto tmp7 = static_cast<int>(tmp6);
2023-01-11T21:01:52.1045793Z                             auto tmp8 = static_cast<float>(i3);
2023-01-11T21:01:52.1045901Z                             auto tmp9 = static_cast<float>(0.4875);
2023-01-11T21:01:52.1045995Z                             auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.1046089Z                             auto tmp11 = static_cast<int>(tmp10);
2023-01-11T21:01:52.1046213Z                             auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2023-01-11T21:01:52.1046321Z                             out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12;
2023-01-11T21:01:52.1046387Z                         }
2023-01-11T21:01:52.1046449Z                     }
2023-01-11T21:01:52.1046512Z                 }
2023-01-11T21:01:52.1046571Z             }
2023-01-11T21:01:52.1046619Z         }
2023-01-11T21:01:52.1046676Z     }
2023-01-11T21:01:52.1046747Z     #pragma GCC ivdep
2023-01-11T21:01:52.1046820Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1046878Z     {
2023-01-11T21:01:52.1046949Z         #pragma GCC ivdep
2023-01-11T21:01:52.1047026Z         for(long i1=0; i1<45; i1+=1)
2023-01-11T21:01:52.1047076Z         {
2023-01-11T21:01:52.1047150Z             #pragma GCC ivdep
2023-01-11T21:01:52.1047230Z             for(long i2=0; i2<74; i2+=1)
2023-01-11T21:01:52.1047289Z             {
2023-01-11T21:01:52.1047365Z                 #pragma GCC ivdep
2023-01-11T21:01:52.1047451Z                 for(long i3=0; i3<103; i3+=1)
2023-01-11T21:01:52.1047500Z                 {
2023-01-11T21:01:52.1047563Z                     {
2023-01-11T21:01:52.1047626Z                         {
2023-01-11T21:01:52.1047729Z                             auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1047840Z                             auto tmp1 = static_cast<float>(0.8222222222222222);
2023-01-11T21:01:52.1047930Z                             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1048031Z                             auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1048136Z                             auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1048238Z                             auto tmp5 = static_cast<float>(0.5135135135135135);
2023-01-11T21:01:52.1048329Z                             auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.1048430Z                             auto tmp7 = static_cast<int>(tmp6);
2023-01-11T21:01:52.1048530Z                             auto tmp8 = static_cast<float>(i3);
2023-01-11T21:01:52.1048640Z                             auto tmp9 = static_cast<float>(0.3786407766990291);
2023-01-11T21:01:52.1048730Z                             auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.1048836Z                             auto tmp11 = static_cast<int>(tmp10);
2023-01-11T21:01:52.1048974Z                             auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2023-01-11T21:01:52.1049082Z                             out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12;
2023-01-11T21:01:52.1049171Z                         }
2023-01-11T21:01:52.1049234Z                     }
2023-01-11T21:01:52.1049292Z                 }
2023-01-11T21:01:52.1049350Z             }
2023-01-11T21:01:52.1049407Z         }
2023-01-11T21:01:52.1049454Z     }
2023-01-11T21:01:52.1049521Z     #pragma GCC ivdep
2023-01-11T21:01:52.1049597Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1049655Z     {
2023-01-11T21:01:52.1049726Z         #pragma GCC ivdep
2023-01-11T21:01:52.1049802Z         for(long i1=0; i1<36; i1+=1)
2023-01-11T21:01:52.1049857Z         {
2023-01-11T21:01:52.1049922Z             #pragma GCC ivdep
2023-01-11T21:01:52.1050000Z             for(long i2=0; i2<39; i2+=1)
2023-01-11T21:01:52.1050059Z             {
2023-01-11T21:01:52.1050136Z                 #pragma GCC ivdep
2023-01-11T21:01:52.1050225Z                 for(long i3=0; i3<40; i3+=1)
2023-01-11T21:01:52.1050284Z                 {
2023-01-11T21:01:52.1050345Z                     {
2023-01-11T21:01:52.1050398Z                         {
2023-01-11T21:01:52.1050501Z                             auto tmp0 = static_cast<float>(i1);
2023-01-11T21:01:52.1050612Z                             auto tmp1 = static_cast<float>(1.0277777777777777);
2023-01-11T21:01:52.1050705Z                             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1050807Z                             auto tmp3 = static_cast<int>(tmp2);
2023-01-11T21:01:52.1050909Z                             auto tmp4 = static_cast<float>(i2);
2023-01-11T21:01:52.1051023Z                             auto tmp5 = static_cast<float>(0.9743589743589743);
2023-01-11T21:01:52.1051104Z                             auto tmp6 = tmp4 * tmp5;
2023-01-11T21:01:52.1051203Z                             auto tmp7 = static_cast<int>(tmp6);
2023-01-11T21:01:52.1051305Z                             auto tmp8 = static_cast<float>(i3);
2023-01-11T21:01:52.1051412Z                             auto tmp9 = static_cast<float>(0.975);
2023-01-11T21:01:52.1051505Z                             auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.1051612Z                             auto tmp11 = static_cast<int>(tmp10);
2023-01-11T21:01:52.1051735Z                             auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2023-01-11T21:01:52.1051842Z                             out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12;
2023-01-11T21:01:52.1051896Z                         }
2023-01-11T21:01:52.1051956Z                     }
2023-01-11T21:01:52.1052016Z                 }
2023-01-11T21:01:52.1052074Z             }
2023-01-11T21:01:52.1052132Z         }
2023-01-11T21:01:52.1052187Z     }
2023-01-11T21:01:52.1052233Z }
2023-01-11T21:01:52.1052324Z ''')
2023-01-11T21:01:52.1052330Z 
2023-01-11T21:01:52.1052335Z 
2023-01-11T21:01:52.1052419Z async_compile.wait(globals())
2023-01-11T21:01:52.1052490Z del async_compile
2023-01-11T21:01:52.1052495Z 
2023-01-11T21:01:52.1052562Z def call(args):
2023-01-11T21:01:52.1052627Z     arg0_1, = args
2023-01-11T21:01:52.1052694Z     args.clear()
2023-01-11T21:01:52.1052935Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1053157Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1053390Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1053620Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1053843Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1054071Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2023-01-11T21:01:52.1054170Z     del arg0_1
2023-01-11T21:01:52.1054265Z     return (buf0, buf1, buf2, buf3, buf4, )
2023-01-11T21:01:52.1054336Z 
2023-01-11T21:01:52.1054342Z 
2023-01-11T21:01:52.1054417Z if __name__ == "__main__":
2023-01-11T21:01:52.1054529Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1054639Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1054867Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1054971Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1054976Z 
2023-01-11T21:01:52.1055043Z ok (2.771s)
2023-01-11T21:01:52.1055477Z   test_var_mean_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1055606Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1055867Z [2023-01-11 20:59:58,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 460
2023-01-11T21:01:52.1055871Z 
2023-01-11T21:01:52.1055962Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1056029Z import torch
2023-01-11T21:01:52.1056084Z import random
2023-01-11T21:01:52.1056193Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1056311Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1056316Z 
2023-01-11T21:01:52.1056390Z aten = torch.ops.aten
2023-01-11T21:01:52.1056519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1056605Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1056612Z 
2023-01-11T21:01:52.1056617Z 
2023-01-11T21:01:52.1056745Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1056944Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1057049Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2023-01-11T21:01:52.1057150Z                        float* __restrict__ in_out_ptr1,
2023-01-11T21:01:52.1057247Z                        float* __restrict__ in_out_ptr2,
2023-01-11T21:01:52.1057343Z                        float* __restrict__ in_out_ptr3,
2023-01-11T21:01:52.1057443Z                        const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1057536Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.1057628Z                        float* __restrict__ out_ptr3)
2023-01-11T21:01:52.1057685Z {
2023-01-11T21:01:52.1057755Z     auto out_ptr1 = in_out_ptr0;
2023-01-11T21:01:52.1057833Z     auto out_ptr2 = in_out_ptr1;
2023-01-11T21:01:52.1057910Z     auto out_ptr4 = in_out_ptr2;
2023-01-11T21:01:52.1057990Z     auto out_ptr5 = in_out_ptr3;
2023-01-11T21:01:52.1058060Z     #pragma GCC ivdep
2023-01-11T21:01:52.1058134Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1058181Z     {
2023-01-11T21:01:52.1058241Z         {
2023-01-11T21:01:52.1058439Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.1058514Z             float tmp1 = 0;
2023-01-11T21:01:52.1058630Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.1058707Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1058766Z             {
2023-01-11T21:01:52.1058903Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.1058969Z                 tmp1_vec += tmp0;
2023-01-11T21:01:52.1059029Z             }
2023-01-11T21:01:52.1059219Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.1059362Z             #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.1059441Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.1059500Z             {
2023-01-11T21:01:52.1059619Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.1059681Z                 tmp1 += tmp0;
2023-01-11T21:01:52.1059741Z             }
2023-01-11T21:01:52.1059817Z             out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.1059875Z         }
2023-01-11T21:01:52.1059929Z     }
2023-01-11T21:01:52.1060001Z     #pragma GCC ivdep
2023-01-11T21:01:52.1060076Z     for(long i0=0; i0<8; i0+=1)
2023-01-11T21:01:52.1060122Z     {
2023-01-11T21:01:52.1060180Z         {
2023-01-11T21:01:52.1060361Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.1060432Z             float tmp6 = 0;
2023-01-11T21:01:52.1060548Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.1060622Z             float tmp7 = 0;
2023-01-11T21:01:52.1060734Z             auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:52.1060812Z             for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1060861Z             {
2023-01-11T21:01:52.1060999Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2023-01-11T21:01:52.1061119Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2023-01-11T21:01:52.1061246Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:52.1061333Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.1061458Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.1061542Z                 auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.1061607Z                 tmp6_vec += tmp5;
2023-01-11T21:01:52.1061682Z                 tmp7_vec += tmp0;
2023-01-11T21:01:52.1061741Z             }
2023-01-11T21:01:52.1061929Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.1062121Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:52.1062256Z             #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:52.1062334Z             for(long i1=8; i1<8; i1+=1)
2023-01-11T21:01:52.1062397Z             {
2023-01-11T21:01:52.1062478Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2023-01-11T21:01:52.1062564Z                 auto tmp1 = out_ptr0[i0];
2023-01-11T21:01:52.1062659Z                 auto tmp2 = static_cast<float>(8);
2023-01-11T21:01:52.1062738Z                 auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.1062863Z                 auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.1062945Z                 auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.1063016Z                 tmp6 += tmp5;
2023-01-11T21:01:52.1063077Z                 tmp7 += tmp0;
2023-01-11T21:01:52.1063136Z             }
2023-01-11T21:01:52.1063210Z             out_ptr1[i0] = tmp6;
2023-01-11T21:01:52.1063283Z             out_ptr2[i0] = tmp7;
2023-01-11T21:01:52.1063341Z         }
2023-01-11T21:01:52.1063399Z     }
2023-01-11T21:01:52.1063475Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1063522Z     {
2023-01-11T21:01:52.1063648Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2023-01-11T21:01:52.1063778Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2023-01-11T21:01:52.1063857Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.1063945Z         tmp2.store(in_out_ptr0 + 8*i0);
2023-01-11T21:01:52.1064000Z     }
2023-01-11T21:01:52.1064079Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1064143Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:52.1064197Z     {
2023-01-11T21:01:52.1064276Z         auto tmp0 = out_ptr1[i0];
2023-01-11T21:01:52.1064368Z         auto tmp1 = static_cast<float>(7);
2023-01-11T21:01:52.1064473Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.1064547Z         in_out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1064601Z     }
2023-01-11T21:01:52.1064664Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1064719Z     {
2023-01-11T21:01:52.1064870Z         auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2023-01-11T21:01:52.1064997Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2023-01-11T21:01:52.1065075Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.1065158Z         tmp2.store(in_out_ptr1 + 8*i0);
2023-01-11T21:01:52.1065211Z     }
2023-01-11T21:01:52.1065282Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1065355Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:52.1065411Z     {
2023-01-11T21:01:52.1065490Z         auto tmp0 = out_ptr2[i0];
2023-01-11T21:01:52.1065581Z         auto tmp1 = static_cast<float>(8);
2023-01-11T21:01:52.1065657Z         auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.1065731Z         in_out_ptr1[i0] = tmp2;
2023-01-11T21:01:52.1065780Z     }
2023-01-11T21:01:52.1065851Z     #pragma GCC ivdep
2023-01-11T21:01:52.1065924Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1065979Z     {
2023-01-11T21:01:52.1066036Z         {
2023-01-11T21:01:52.1066219Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.1066292Z             float tmp1 = 0;
2023-01-11T21:01:52.1066397Z             auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2023-01-11T21:01:52.1066477Z             for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:52.1066537Z             {
2023-01-11T21:01:52.1066622Z                 for(long i2=0; i2<1; i2+=1)
2023-01-11T21:01:52.1066683Z                 {
2023-01-11T21:01:52.1066826Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2023-01-11T21:01:52.1066904Z                     tmp1_vec += tmp0;
2023-01-11T21:01:52.1066954Z                 }
2023-01-11T21:01:52.1067150Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2023-01-11T21:01:52.1067264Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2023-01-11T21:01:52.1067349Z                 for(long i2=8; i2<8; i2+=1)
2023-01-11T21:01:52.1067411Z                 {
2023-01-11T21:01:52.1067509Z                     auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2023-01-11T21:01:52.1067582Z                     tmp1 += tmp0;
2023-01-11T21:01:52.1067644Z                 }
2023-01-11T21:01:52.1067692Z             }
2023-01-11T21:01:52.1067766Z             out_ptr3[i0] = tmp1;
2023-01-11T21:01:52.1067824Z         }
2023-01-11T21:01:52.1067882Z     }
2023-01-11T21:01:52.1067950Z     #pragma GCC ivdep
2023-01-11T21:01:52.1068024Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1068080Z     {
2023-01-11T21:01:52.1068129Z         {
2023-01-11T21:01:52.1068309Z             #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2023-01-11T21:01:52.1068383Z             float tmp6 = 0;
2023-01-11T21:01:52.1068499Z             auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2023-01-11T21:01:52.1068571Z             float tmp7 = 0;
2023-01-11T21:01:52.1068682Z             auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2023-01-11T21:01:52.1068760Z             for(long i1=0; i1<2; i1+=1)
2023-01-11T21:01:52.1068809Z             {
2023-01-11T21:01:52.1068893Z                 for(long i2=0; i2<1; i2+=1)
2023-01-11T21:01:52.1068954Z                 {
2023-01-11T21:01:52.1069095Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2023-01-11T21:01:52.1069219Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2023-01-11T21:01:52.1069351Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(16));
2023-01-11T21:01:52.1069438Z                     auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.1069606Z                     auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.1069682Z                     auto tmp5 = tmp4.pow(2);
2023-01-11T21:01:52.1069760Z                     tmp6_vec += tmp5;
2023-01-11T21:01:52.1069872Z                     tmp7_vec += tmp0;
2023-01-11T21:01:52.1069932Z                 }
2023-01-11T21:01:52.1070123Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2023-01-11T21:01:52.1070309Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2023-01-11T21:01:52.1070445Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2023-01-11T21:01:52.1070530Z                 for(long i2=8; i2<8; i2+=1)
2023-01-11T21:01:52.1070580Z                 {
2023-01-11T21:01:52.1070680Z                     auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2023-01-11T21:01:52.1070770Z                     auto tmp1 = out_ptr3[i0];
2023-01-11T21:01:52.1070869Z                     auto tmp2 = static_cast<float>(16);
2023-01-11T21:01:52.1070953Z                     auto tmp3 = tmp1 / tmp2;
2023-01-11T21:01:52.1071087Z                     auto tmp4 = tmp0 - tmp3;
2023-01-11T21:01:52.1071170Z                     auto tmp5 = tmp4 * tmp4;
2023-01-11T21:01:52.1071233Z                     tmp6 += tmp5;
2023-01-11T21:01:52.1071304Z                     tmp7 += tmp0;
2023-01-11T21:01:52.1071366Z                 }
2023-01-11T21:01:52.1071424Z             }
2023-01-11T21:01:52.1071497Z             out_ptr4[i0] = tmp6;
2023-01-11T21:01:52.1071570Z             out_ptr5[i0] = tmp7;
2023-01-11T21:01:52.1071628Z         }
2023-01-11T21:01:52.1071675Z     }
2023-01-11T21:01:52.1071747Z     #pragma GCC ivdep
2023-01-11T21:01:52.1071823Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1071880Z     {
2023-01-11T21:01:52.1071937Z         {
2023-01-11T21:01:52.1071998Z             {
2023-01-11T21:01:52.1072085Z                 auto tmp0 = out_ptr4[i0];
2023-01-11T21:01:52.1072172Z                 auto tmp1 = static_cast<float>(15);
2023-01-11T21:01:52.1072254Z                 auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.1072336Z                 in_out_ptr2[i0] = tmp2;
2023-01-11T21:01:52.1072395Z             }
2023-01-11T21:01:52.1072452Z         }
2023-01-11T21:01:52.1072508Z     }
2023-01-11T21:01:52.1072569Z     #pragma GCC ivdep
2023-01-11T21:01:52.1072641Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1072698Z     {
2023-01-11T21:01:52.1072755Z         {
2023-01-11T21:01:52.1072814Z             {
2023-01-11T21:01:52.1072990Z                 auto tmp0 = out_ptr5[i0];
2023-01-11T21:01:52.1073093Z                 auto tmp1 = static_cast<float>(16);
2023-01-11T21:01:52.1073166Z                 auto tmp2 = tmp0 / tmp1;
2023-01-11T21:01:52.1073244Z                 in_out_ptr3[i0] = tmp2;
2023-01-11T21:01:52.1073305Z             }
2023-01-11T21:01:52.1073365Z         }
2023-01-11T21:01:52.1073423Z     }
2023-01-11T21:01:52.1073479Z }
2023-01-11T21:01:52.1073547Z ''')
2023-01-11T21:01:52.1073563Z 
2023-01-11T21:01:52.1073567Z 
2023-01-11T21:01:52.1073642Z async_compile.wait(globals())
2023-01-11T21:01:52.1073710Z del async_compile
2023-01-11T21:01:52.1073715Z 
2023-01-11T21:01:52.1073782Z def call(args):
2023-01-11T21:01:52.1073847Z     arg0_1, = args
2023-01-11T21:01:52.1073915Z     args.clear()
2023-01-11T21:01:52.1074125Z     buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1074324Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1074508Z     buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1074589Z     buf3 = buf1; del buf1  # reuse
2023-01-11T21:01:52.1074668Z     buf4 = buf2; del buf2  # reuse
2023-01-11T21:01:52.1074870Z     buf5 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1075062Z     buf6 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1075286Z     buf7 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1075365Z     buf8 = buf6; del buf6  # reuse
2023-01-11T21:01:52.1075471Z     buf9 = buf7; del buf7  # reuse
2023-01-11T21:01:52.1075719Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr()))
2023-01-11T21:01:52.1075786Z     del arg0_1
2023-01-11T21:01:52.1075868Z     return (buf3, buf4, buf8, buf9, )
2023-01-11T21:01:52.1075874Z 
2023-01-11T21:01:52.1075878Z 
2023-01-11T21:01:52.1075951Z if __name__ == "__main__":
2023-01-11T21:01:52.1076061Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1076179Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1076384Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1076489Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1076744Z [2023-01-11 21:00:00,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 460
2023-01-11T21:01:52.1076763Z 
2023-01-11T21:01:52.1076817Z ok (1.653s)
2023-01-11T21:01:52.1077249Z   test_vdd_clamp_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1077372Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1077627Z [2023-01-11 21:00:00,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 461
2023-01-11T21:01:52.1077880Z [2023-01-11 21:00:01,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 461
2023-01-11T21:01:52.1077887Z 
2023-01-11T21:01:52.1077976Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1078042Z import torch
2023-01-11T21:01:52.1078107Z import random
2023-01-11T21:01:52.1078210Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1078328Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1078333Z 
2023-01-11T21:01:52.1078407Z aten = torch.ops.aten
2023-01-11T21:01:52.1078537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1078623Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1078628Z 
2023-01-11T21:01:52.1078632Z 
2023-01-11T21:01:52.1078760Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1078961Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1079078Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1079174Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.1079258Z                        bool* __restrict__ out_ptr1)
2023-01-11T21:01:52.1079314Z {
2023-01-11T21:01:52.1079385Z     #pragma GCC ivdep
2023-01-11T21:01:52.1079464Z     for(long i0=0; i0<16; i0+=1)
2023-01-11T21:01:52.1079520Z     {
2023-01-11T21:01:52.1079577Z         {
2023-01-11T21:01:52.1079627Z             {
2023-01-11T21:01:52.1079708Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1079807Z                 auto tmp1 = static_cast<float>(3.0);
2023-01-11T21:01:52.1079928Z                 auto tmp2 = (tmp1 != tmp1) ? tmp1 : std::max(tmp0, tmp1);
2023-01-11T21:01:52.1080025Z                 auto tmp3 = static_cast<float>(3);
2023-01-11T21:01:52.1080109Z                 auto tmp4 = tmp0 >= tmp3;
2023-01-11T21:01:52.1080189Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1080253Z                 out_ptr1[i0] = tmp4;
2023-01-11T21:01:52.1080312Z             }
2023-01-11T21:01:52.1080369Z         }
2023-01-11T21:01:52.1080455Z     }
2023-01-11T21:01:52.1080512Z }
2023-01-11T21:01:52.1080586Z ''')
2023-01-11T21:01:52.1080592Z 
2023-01-11T21:01:52.1080596Z 
2023-01-11T21:01:52.1080681Z async_compile.wait(globals())
2023-01-11T21:01:52.1080739Z del async_compile
2023-01-11T21:01:52.1080779Z 
2023-01-11T21:01:52.1080836Z def call(args):
2023-01-11T21:01:52.1080908Z     primals_1, = args
2023-01-11T21:01:52.1080974Z     args.clear()
2023-01-11T21:01:52.1081160Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1081343Z     buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.1081506Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2023-01-11T21:01:52.1081573Z     del primals_1
2023-01-11T21:01:52.1081635Z     return (buf0, buf1, )
2023-01-11T21:01:52.1081640Z 
2023-01-11T21:01:52.1081653Z 
2023-01-11T21:01:52.1081714Z if __name__ == "__main__":
2023-01-11T21:01:52.1081822Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1081941Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1082134Z     primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1082242Z     print_performance(lambda: call([primals_1]))
2023-01-11T21:01:52.1082248Z 
2023-01-11T21:01:52.1082309Z ok (1.556s)
2023-01-11T21:01:52.1082753Z   test_vertical_fusion1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1082876Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1083120Z [2023-01-11 21:00:02,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 462
2023-01-11T21:01:52.1083524Z [2023-01-11 21:00:03,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 462
2023-01-11T21:01:52.1083532Z 
2023-01-11T21:01:52.1083662Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1083732Z import torch
2023-01-11T21:01:52.1083799Z import random
2023-01-11T21:01:52.1083908Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1084022Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1084028Z 
2023-01-11T21:01:52.1084100Z aten = torch.ops.aten
2023-01-11T21:01:52.1084219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1084305Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1084310Z 
2023-01-11T21:01:52.1084315Z 
2023-01-11T21:01:52.1084445Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1084647Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1084762Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1084865Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1084965Z                        const float* __restrict__ in_ptr2,
2023-01-11T21:01:52.1085060Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1085108Z {
2023-01-11T21:01:52.1085179Z     #pragma GCC ivdep
2023-01-11T21:01:52.1085255Z     for(long i0=0; i0<41616; i0+=1)
2023-01-11T21:01:52.1085312Z     {
2023-01-11T21:01:52.1085386Z         for(long i1=0; i1<3; i1+=1)
2023-01-11T21:01:52.1085444Z         {
2023-01-11T21:01:52.1085581Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (26*i0));
2023-01-11T21:01:52.1085706Z             auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (26*i0));
2023-01-11T21:01:52.1085834Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2023-01-11T21:01:52.1086054Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.061519070296458e-11));
2023-01-11T21:01:52.1086191Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1086413Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(-1.988366587925593e-08));
2023-01-11T21:01:52.1086495Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1086613Z             auto tmp5 = tmp0 * tmp4;
2023-01-11T21:01:52.1086830Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(-3.087032500374211e-07));
2023-01-11T21:01:52.1086910Z             auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:52.1087115Z             auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1.55093272922008e-10));
2023-01-11T21:01:52.1087198Z             auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.1087279Z             auto tmp11 = tmp7 + tmp10;
2023-01-11T21:01:52.1087373Z             auto tmp12 = tmp11.reciprocal();
2023-01-11T21:01:52.1087502Z             auto tmp13 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2023-01-11T21:01:52.1087582Z             auto tmp14 = tmp12 * tmp13;
2023-01-11T21:01:52.1087669Z             auto tmp16 = tmp11 * tmp15;
2023-01-11T21:01:52.1087738Z             auto tmp17 = tmp14 + tmp16;
2023-01-11T21:01:52.1087837Z             tmp17.store(out_ptr0 + (8*i1) + (26*i0));
2023-01-11T21:01:52.1087897Z         }
2023-01-11T21:01:52.1087984Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1088061Z         for(long i1=24; i1<26; i1+=1)
2023-01-11T21:01:52.1088118Z         {
2023-01-11T21:01:52.1088209Z             auto tmp0 = in_ptr0[i1 + (26*i0)];
2023-01-11T21:01:52.1088289Z             auto tmp8 = in_ptr1[i1 + (26*i0)];
2023-01-11T21:01:52.1088370Z             auto tmp15 = in_ptr2[i1];
2023-01-11T21:01:52.1088544Z             auto tmp1 = static_cast<float>(-1.061519070296458e-11);
2023-01-11T21:01:52.1088624Z             auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1088792Z             auto tmp3 = static_cast<float>(-1.988366587925593e-08);
2023-01-11T21:01:52.1088870Z             auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1088947Z             auto tmp5 = tmp0 * tmp4;
2023-01-11T21:01:52.1089103Z             auto tmp6 = static_cast<float>(-3.087032500374211e-07);
2023-01-11T21:01:52.1089179Z             auto tmp7 = tmp5 + tmp6;
2023-01-11T21:01:52.1089349Z             auto tmp9 = static_cast<float>(1.55093272922008e-10);
2023-01-11T21:01:52.1089428Z             auto tmp10 = tmp8 * tmp9;
2023-01-11T21:01:52.1089509Z             auto tmp11 = tmp7 + tmp10;
2023-01-11T21:01:52.1089584Z             auto tmp12 = 1 / tmp11;
2023-01-11T21:01:52.1089681Z             auto tmp13 = static_cast<float>(1.0);
2023-01-11T21:01:52.1089753Z             auto tmp14 = tmp12 * tmp13;
2023-01-11T21:01:52.1089831Z             auto tmp16 = tmp11 * tmp15;
2023-01-11T21:01:52.1089908Z             auto tmp17 = tmp14 + tmp16;
2023-01-11T21:01:52.1089993Z             out_ptr0[i1 + (26*i0)] = tmp17;
2023-01-11T21:01:52.1090052Z         }
2023-01-11T21:01:52.1090110Z     }
2023-01-11T21:01:52.1090166Z }
2023-01-11T21:01:52.1090230Z ''')
2023-01-11T21:01:52.1090235Z 
2023-01-11T21:01:52.1090250Z 
2023-01-11T21:01:52.1090325Z async_compile.wait(globals())
2023-01-11T21:01:52.1090396Z del async_compile
2023-01-11T21:01:52.1090401Z 
2023-01-11T21:01:52.1090464Z def call(args):
2023-01-11T21:01:52.1090541Z     arg0_1, arg1_1, arg2_1 = args
2023-01-11T21:01:52.1090607Z     args.clear()
2023-01-11T21:01:52.1090817Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1091003Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1091058Z     del arg0_1
2023-01-11T21:01:52.1091118Z     del arg1_1
2023-01-11T21:01:52.1091183Z     del arg2_1
2023-01-11T21:01:52.1091250Z     return (buf0, )
2023-01-11T21:01:52.1091255Z 
2023-01-11T21:01:52.1091259Z 
2023-01-11T21:01:52.1091329Z if __name__ == "__main__":
2023-01-11T21:01:52.1091436Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1091555Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1091785Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1091994Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1092212Z     arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1092331Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2023-01-11T21:01:52.1092336Z 
2023-01-11T21:01:52.1092397Z ok (1.712s)
2023-01-11T21:01:52.1092827Z   test_views1_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1092950Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1093207Z [2023-01-11 21:00:03,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 463
2023-01-11T21:01:52.1093468Z [2023-01-11 21:00:05,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 463
2023-01-11T21:01:52.1093864Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1093985Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1094223Z [2023-01-11 21:00:05,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 464
2023-01-11T21:01:52.1094481Z [2023-01-11 21:00:06,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 464
2023-01-11T21:01:52.1094879Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1095000Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1095247Z [2023-01-11 21:00:06,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 465
2023-01-11T21:01:52.1095506Z [2023-01-11 21:00:08,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 465
2023-01-11T21:01:52.1095898Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1096021Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1096271Z [2023-01-11 21:00:08,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 466
2023-01-11T21:01:52.1096530Z [2023-01-11 21:00:09,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 466
2023-01-11T21:01:52.1096921Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1097042Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1097281Z [2023-01-11 21:00:09,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 467
2023-01-11T21:01:52.1097314Z 
2023-01-11T21:01:52.1097404Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1097467Z import torch
2023-01-11T21:01:52.1097534Z import random
2023-01-11T21:01:52.1097672Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1097791Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1097797Z 
2023-01-11T21:01:52.1097871Z aten = torch.ops.aten
2023-01-11T21:01:52.1097990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1098077Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1098082Z 
2023-01-11T21:01:52.1098087Z 
2023-01-11T21:01:52.1098214Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1098414Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1098529Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1098628Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1098726Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1098783Z {
2023-01-11T21:01:52.1098849Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1098905Z     {
2023-01-11T21:01:52.1099036Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1099161Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1099239Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1099322Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1099380Z     }
2023-01-11T21:01:52.1099452Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1099530Z     for(long i0=32; i0<35; i0+=1)
2023-01-11T21:01:52.1099588Z     {
2023-01-11T21:01:52.1099665Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1099740Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1099814Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1099887Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1099934Z     }
2023-01-11T21:01:52.1099992Z }
2023-01-11T21:01:52.1100065Z ''')
2023-01-11T21:01:52.1100070Z 
2023-01-11T21:01:52.1100074Z 
2023-01-11T21:01:52.1100157Z async_compile.wait(globals())
2023-01-11T21:01:52.1100224Z del async_compile
2023-01-11T21:01:52.1100229Z 
2023-01-11T21:01:52.1100297Z def call(args):
2023-01-11T21:01:52.1100368Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1100424Z     args.clear()
2023-01-11T21:01:52.1100616Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1100776Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1100841Z     del arg0_1
2023-01-11T21:01:52.1100902Z     del arg1_1
2023-01-11T21:01:52.1100966Z     return (buf0, )
2023-01-11T21:01:52.1100972Z 
2023-01-11T21:01:52.1100976Z 
2023-01-11T21:01:52.1101046Z if __name__ == "__main__":
2023-01-11T21:01:52.1101161Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1101270Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1101463Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1101656Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1101768Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1101773Z 
2023-01-11T21:01:52.1101778Z 
2023-01-11T21:01:52.1101865Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1101931Z import torch
2023-01-11T21:01:52.1101996Z import random
2023-01-11T21:01:52.1102103Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1102209Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1102214Z 
2023-01-11T21:01:52.1102289Z aten = torch.ops.aten
2023-01-11T21:01:52.1102419Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1102504Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1102509Z 
2023-01-11T21:01:52.1102513Z 
2023-01-11T21:01:52.1102639Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1102866Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1102981Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1103106Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1103193Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1103250Z {
2023-01-11T21:01:52.1103326Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1103383Z     {
2023-01-11T21:01:52.1103510Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1103633Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1103760Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1103839Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1103908Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1103991Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1104051Z     }
2023-01-11T21:01:52.1104133Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1104205Z     for(long i0=32; i0<35; i0+=1)
2023-01-11T21:01:52.1104260Z     {
2023-01-11T21:01:52.1104326Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1104403Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1104496Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1104573Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1104649Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1104720Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1104775Z     }
2023-01-11T21:01:52.1104821Z }
2023-01-11T21:01:52.1104895Z ''')
2023-01-11T21:01:52.1104900Z 
2023-01-11T21:01:52.1104904Z 
2023-01-11T21:01:52.1104989Z async_compile.wait(globals())
2023-01-11T21:01:52.1105057Z del async_compile
2023-01-11T21:01:52.1105061Z 
2023-01-11T21:01:52.1105129Z def call(args):
2023-01-11T21:01:52.1105197Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1105260Z     args.clear()
2023-01-11T21:01:52.1105440Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1105597Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1105662Z     del arg0_1
2023-01-11T21:01:52.1105723Z     del arg1_1
2023-01-11T21:01:52.1105791Z     return (buf0, )
2023-01-11T21:01:52.1105796Z 
2023-01-11T21:01:52.1105800Z 
2023-01-11T21:01:52.1105868Z if __name__ == "__main__":
2023-01-11T21:01:52.1105975Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1106091Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1106272Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1106461Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1106571Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1106576Z 
2023-01-11T21:01:52.1106581Z 
2023-01-11T21:01:52.1106669Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1106736Z import torch
2023-01-11T21:01:52.1106802Z import random
2023-01-11T21:01:52.1106908Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1107025Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1107030Z 
2023-01-11T21:01:52.1107094Z aten = torch.ops.aten
2023-01-11T21:01:52.1107220Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1107307Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1107312Z 
2023-01-11T21:01:52.1107316Z 
2023-01-11T21:01:52.1107444Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1107643Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1107756Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1107853Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1107947Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1108030Z {
2023-01-11T21:01:52.1108106Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1108161Z     {
2023-01-11T21:01:52.1108288Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1108450Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1108530Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1108612Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1108659Z     }
2023-01-11T21:01:52.1108741Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1108820Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1108876Z     {
2023-01-11T21:01:52.1108952Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1109026Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1109100Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1109164Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1109218Z     }
2023-01-11T21:01:52.1109278Z }
2023-01-11T21:01:52.1109350Z ''')
2023-01-11T21:01:52.1109357Z 
2023-01-11T21:01:52.1109361Z 
2023-01-11T21:01:52.1109443Z async_compile.wait(globals())
2023-01-11T21:01:52.1109510Z del async_compile
2023-01-11T21:01:52.1109515Z 
2023-01-11T21:01:52.1109578Z def call(args):
2023-01-11T21:01:52.1109641Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1109707Z     args.clear()
2023-01-11T21:01:52.1109939Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1110099Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1110163Z     del arg0_1
2023-01-11T21:01:52.1110223Z     del arg1_1
2023-01-11T21:01:52.1110287Z     return (buf0, )
2023-01-11T21:01:52.1110292Z 
2023-01-11T21:01:52.1110296Z 
2023-01-11T21:01:52.1110366Z if __name__ == "__main__":
2023-01-11T21:01:52.1110467Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1110585Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1110779Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1111006Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1111118Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1111123Z 
2023-01-11T21:01:52.1111128Z 
2023-01-11T21:01:52.1111214Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1111280Z import torch
2023-01-11T21:01:52.1111345Z import random
2023-01-11T21:01:52.1111444Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1111558Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1111563Z 
2023-01-11T21:01:52.1111637Z aten = torch.ops.aten
2023-01-11T21:01:52.1111764Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1111850Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1111855Z 
2023-01-11T21:01:52.1111859Z 
2023-01-11T21:01:52.1111984Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1112185Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1112299Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1112390Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1112483Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1112538Z {
2023-01-11T21:01:52.1112617Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1112674Z     {
2023-01-11T21:01:52.1112800Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1113017Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1113135Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1113216Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1113291Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1113374Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1113468Z     }
2023-01-11T21:01:52.1113551Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1113629Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1113676Z     {
2023-01-11T21:01:52.1113753Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1113860Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1113953Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1114028Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1114100Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1114172Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1114219Z     }
2023-01-11T21:01:52.1114275Z }
2023-01-11T21:01:52.1114353Z ''')
2023-01-11T21:01:52.1114359Z 
2023-01-11T21:01:52.1114363Z 
2023-01-11T21:01:52.1114446Z async_compile.wait(globals())
2023-01-11T21:01:52.1114515Z del async_compile
2023-01-11T21:01:52.1114520Z 
2023-01-11T21:01:52.1114584Z def call(args):
2023-01-11T21:01:52.1114651Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1114707Z     args.clear()
2023-01-11T21:01:52.1114935Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1115093Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1115159Z     del arg0_1
2023-01-11T21:01:52.1115223Z     del arg1_1
2023-01-11T21:01:52.1115289Z     return (buf0, )
2023-01-11T21:01:52.1115295Z 
2023-01-11T21:01:52.1115299Z 
2023-01-11T21:01:52.1115368Z if __name__ == "__main__":
2023-01-11T21:01:52.1115474Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1115581Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1115774Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1116004Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1116114Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1116122Z 
2023-01-11T21:01:52.1116126Z 
2023-01-11T21:01:52.1116214Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1116278Z import torch
2023-01-11T21:01:52.1116342Z import random
2023-01-11T21:01:52.1116452Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1116558Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1116563Z 
2023-01-11T21:01:52.1116636Z aten = torch.ops.aten
2023-01-11T21:01:52.1116760Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1116848Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1116852Z 
2023-01-11T21:01:52.1116856Z 
2023-01-11T21:01:52.1116986Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1117183Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1117296Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1117393Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1117479Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1117536Z {
2023-01-11T21:01:52.1117612Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1117668Z     {
2023-01-11T21:01:52.1117792Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1117915Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1117994Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1118065Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1118123Z     }
2023-01-11T21:01:52.1118205Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1118281Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1118340Z     {
2023-01-11T21:01:52.1118413Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1118485Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1118550Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1118621Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1118678Z     }
2023-01-11T21:01:52.1118764Z }
2023-01-11T21:01:52.1118837Z ''')
2023-01-11T21:01:52.1118842Z 
2023-01-11T21:01:52.1118846Z 
2023-01-11T21:01:52.1118927Z async_compile.wait(globals())
2023-01-11T21:01:52.1118992Z del async_compile
2023-01-11T21:01:52.1118997Z 
2023-01-11T21:01:52.1119078Z def call(args):
2023-01-11T21:01:52.1119147Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1119213Z     args.clear()
2023-01-11T21:01:52.1119442Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1119600Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1119665Z     del arg0_1
2023-01-11T21:01:52.1119725Z     del arg1_1
2023-01-11T21:01:52.1119790Z     return (buf0, )
2023-01-11T21:01:52.1119795Z 
2023-01-11T21:01:52.1119799Z 
2023-01-11T21:01:52.1119859Z if __name__ == "__main__":
2023-01-11T21:01:52.1119967Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1120085Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1120300Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1120529Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1120640Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1120905Z [2023-01-11 21:00:09,922] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 467
2023-01-11T21:01:52.1121295Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1121417Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1121660Z [2023-01-11 21:00:09,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 468
2023-01-11T21:01:52.1121921Z [2023-01-11 21:00:09,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 468
2023-01-11T21:01:52.1122316Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1122435Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1122685Z [2023-01-11 21:00:09,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 469
2023-01-11T21:01:52.1122941Z [2023-01-11 21:00:11,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 469
2023-01-11T21:01:52.1123338Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1123660Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1123919Z [2023-01-11 21:00:11,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 470
2023-01-11T21:01:52.1124178Z [2023-01-11 21:00:13,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 470
2023-01-11T21:01:52.1124569Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1124741Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1124983Z [2023-01-11 21:00:13,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 471
2023-01-11T21:01:52.1125274Z [2023-01-11 21:00:14,554] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 471
2023-01-11T21:01:52.1125666Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1125786Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1126036Z [2023-01-11 21:00:14,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 472
2023-01-11T21:01:52.1126044Z 
2023-01-11T21:01:52.1126049Z 
2023-01-11T21:01:52.1126138Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1126202Z import torch
2023-01-11T21:01:52.1126267Z import random
2023-01-11T21:01:52.1126377Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1126486Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1126491Z 
2023-01-11T21:01:52.1126564Z aten = torch.ops.aten
2023-01-11T21:01:52.1126692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1126779Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1126784Z 
2023-01-11T21:01:52.1126789Z 
2023-01-11T21:01:52.1126918Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1127118Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1127232Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1127329Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1127417Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1127474Z {
2023-01-11T21:01:52.1127550Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1127607Z     {
2023-01-11T21:01:52.1127735Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1127857Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1127980Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1128059Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1128124Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1128206Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1128265Z     }
2023-01-11T21:01:52.1128346Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1128425Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1128481Z     {
2023-01-11T21:01:52.1128547Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1128622Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1128715Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1128792Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1128866Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1128938Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1128997Z     }
2023-01-11T21:01:52.1129043Z }
2023-01-11T21:01:52.1129115Z ''')
2023-01-11T21:01:52.1129120Z 
2023-01-11T21:01:52.1129124Z 
2023-01-11T21:01:52.1129207Z async_compile.wait(globals())
2023-01-11T21:01:52.1129274Z del async_compile
2023-01-11T21:01:52.1129279Z 
2023-01-11T21:01:52.1129344Z def call(args):
2023-01-11T21:01:52.1129414Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1129481Z     args.clear()
2023-01-11T21:01:52.1129701Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1129859Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1129921Z     del arg0_1
2023-01-11T21:01:52.1130013Z     del arg1_1
2023-01-11T21:01:52.1130080Z     return (buf0, )
2023-01-11T21:01:52.1130086Z 
2023-01-11T21:01:52.1130090Z 
2023-01-11T21:01:52.1130160Z if __name__ == "__main__":
2023-01-11T21:01:52.1130267Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1130412Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1130616Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1130843Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1130955Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1130960Z 
2023-01-11T21:01:52.1130965Z 
2023-01-11T21:01:52.1131053Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1131119Z import torch
2023-01-11T21:01:52.1131185Z import random
2023-01-11T21:01:52.1131291Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1131407Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1131414Z 
2023-01-11T21:01:52.1131477Z aten = torch.ops.aten
2023-01-11T21:01:52.1131607Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1131694Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1131701Z 
2023-01-11T21:01:52.1131705Z 
2023-01-11T21:01:52.1131832Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1132032Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1132145Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1132243Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1132339Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1132386Z {
2023-01-11T21:01:52.1132463Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1132519Z     {
2023-01-11T21:01:52.1132644Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1132768Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1132845Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1132925Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1132983Z     }
2023-01-11T21:01:52.1133057Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1133135Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1133193Z     {
2023-01-11T21:01:52.1133268Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1133341Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1133413Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1133476Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1133531Z     }
2023-01-11T21:01:52.1133585Z }
2023-01-11T21:01:52.1133657Z ''')
2023-01-11T21:01:52.1133662Z 
2023-01-11T21:01:52.1133667Z 
2023-01-11T21:01:52.1133750Z async_compile.wait(globals())
2023-01-11T21:01:52.1133817Z del async_compile
2023-01-11T21:01:52.1133821Z 
2023-01-11T21:01:52.1133886Z def call(args):
2023-01-11T21:01:52.1133959Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1134014Z     args.clear()
2023-01-11T21:01:52.1134216Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1134371Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1134434Z     del arg0_1
2023-01-11T21:01:52.1134496Z     del arg1_1
2023-01-11T21:01:52.1134561Z     return (buf0, )
2023-01-11T21:01:52.1134566Z 
2023-01-11T21:01:52.1134570Z 
2023-01-11T21:01:52.1134641Z if __name__ == "__main__":
2023-01-11T21:01:52.1134741Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1134859Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1135053Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1135255Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1135362Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1135396Z 
2023-01-11T21:01:52.1135400Z 
2023-01-11T21:01:52.1135490Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1135553Z import torch
2023-01-11T21:01:52.1135618Z import random
2023-01-11T21:01:52.1135743Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1135859Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1135865Z 
2023-01-11T21:01:52.1135937Z aten = torch.ops.aten
2023-01-11T21:01:52.1136064Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1136148Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1136153Z 
2023-01-11T21:01:52.1136157Z 
2023-01-11T21:01:52.1136284Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1136479Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1136592Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1136683Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1136777Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1136832Z {
2023-01-11T21:01:52.1136910Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1136964Z     {
2023-01-11T21:01:52.1137090Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1137214Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1137336Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1137404Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1137481Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1137563Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1137619Z     }
2023-01-11T21:01:52.1137699Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1137775Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1137822Z     {
2023-01-11T21:01:52.1137897Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1137972Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1138067Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1138142Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1138215Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1138288Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1138336Z     }
2023-01-11T21:01:52.1138389Z }
2023-01-11T21:01:52.1138462Z ''')
2023-01-11T21:01:52.1138466Z 
2023-01-11T21:01:52.1138471Z 
2023-01-11T21:01:52.1138552Z async_compile.wait(globals())
2023-01-11T21:01:52.1138619Z del async_compile
2023-01-11T21:01:52.1138624Z 
2023-01-11T21:01:52.1138687Z def call(args):
2023-01-11T21:01:52.1138753Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1138817Z     args.clear()
2023-01-11T21:01:52.1139011Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1139168Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1139231Z     del arg0_1
2023-01-11T21:01:52.1139295Z     del arg1_1
2023-01-11T21:01:52.1139360Z     return (buf0, )
2023-01-11T21:01:52.1139365Z 
2023-01-11T21:01:52.1139369Z 
2023-01-11T21:01:52.1139438Z if __name__ == "__main__":
2023-01-11T21:01:52.1139547Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1139657Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1139851Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1140057Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1140167Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1140172Z 
2023-01-11T21:01:52.1140177Z 
2023-01-11T21:01:52.1140265Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1140328Z import torch
2023-01-11T21:01:52.1140391Z import random
2023-01-11T21:01:52.1140499Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1140604Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1140673Z 
2023-01-11T21:01:52.1140750Z aten = torch.ops.aten
2023-01-11T21:01:52.1140876Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1140962Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1140994Z 
2023-01-11T21:01:52.1140999Z 
2023-01-11T21:01:52.1141129Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1141327Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1141439Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1141540Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1141624Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1141681Z {
2023-01-11T21:01:52.1141757Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1141815Z     {
2023-01-11T21:01:52.1141941Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1142065Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1142148Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1142231Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1142278Z     }
2023-01-11T21:01:52.1142363Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1142436Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1142492Z     {
2023-01-11T21:01:52.1142564Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1142638Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1142703Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1142775Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1142831Z     }
2023-01-11T21:01:52.1142885Z }
2023-01-11T21:01:52.1142956Z ''')
2023-01-11T21:01:52.1142961Z 
2023-01-11T21:01:52.1142965Z 
2023-01-11T21:01:52.1143046Z async_compile.wait(globals())
2023-01-11T21:01:52.1143113Z del async_compile
2023-01-11T21:01:52.1143118Z 
2023-01-11T21:01:52.1143183Z def call(args):
2023-01-11T21:01:52.1143244Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1143312Z     args.clear()
2023-01-11T21:01:52.1143501Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1143659Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1143721Z     del arg0_1
2023-01-11T21:01:52.1143781Z     del arg1_1
2023-01-11T21:01:52.1143837Z     return (buf0, )
2023-01-11T21:01:52.1143853Z 
2023-01-11T21:01:52.1143857Z 
2023-01-11T21:01:52.1143919Z if __name__ == "__main__":
2023-01-11T21:01:52.1144028Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1144145Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1144345Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1144530Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1144638Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1144644Z 
2023-01-11T21:01:52.1144648Z 
2023-01-11T21:01:52.1144735Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1144797Z import torch
2023-01-11T21:01:52.1144852Z import random
2023-01-11T21:01:52.1144962Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1145079Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1145084Z 
2023-01-11T21:01:52.1145154Z aten = torch.ops.aten
2023-01-11T21:01:52.1145282Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1145368Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1145373Z 
2023-01-11T21:01:52.1145377Z 
2023-01-11T21:01:52.1145503Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1145701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1145804Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1145900Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1146022Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1146077Z {
2023-01-11T21:01:52.1146154Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1146210Z     {
2023-01-11T21:01:52.1146374Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1146492Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1146615Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1146692Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1146766Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1146847Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1146901Z     }
2023-01-11T21:01:52.1146980Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1147045Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1147101Z     {
2023-01-11T21:01:52.1147175Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1147249Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1147341Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1147414Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1147487Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1147550Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1147607Z     }
2023-01-11T21:01:52.1147664Z }
2023-01-11T21:01:52.1147739Z ''')
2023-01-11T21:01:52.1147744Z 
2023-01-11T21:01:52.1147748Z 
2023-01-11T21:01:52.1147831Z async_compile.wait(globals())
2023-01-11T21:01:52.1147899Z del async_compile
2023-01-11T21:01:52.1147903Z 
2023-01-11T21:01:52.1147969Z def call(args):
2023-01-11T21:01:52.1148028Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1148093Z     args.clear()
2023-01-11T21:01:52.1148280Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1148437Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1148500Z     del arg0_1
2023-01-11T21:01:52.1148562Z     del arg1_1
2023-01-11T21:01:52.1148629Z     return (buf0, )
2023-01-11T21:01:52.1148635Z 
2023-01-11T21:01:52.1148639Z 
2023-01-11T21:01:52.1148704Z if __name__ == "__main__":
2023-01-11T21:01:52.1148803Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1148921Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1149124Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1149308Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1149415Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1149681Z [2023-01-11 21:00:16,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 472
2023-01-11T21:01:52.1150077Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1150201Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1150452Z [2023-01-11 21:00:16,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 473
2023-01-11T21:01:52.1150702Z [2023-01-11 21:00:16,129] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 473
2023-01-11T21:01:52.1151094Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1151216Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1151463Z [2023-01-11 21:00:16,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 474
2023-01-11T21:01:52.1151749Z [2023-01-11 21:00:16,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 474
2023-01-11T21:01:52.1152164Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1152287Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1152535Z [2023-01-11 21:00:16,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 475
2023-01-11T21:01:52.1152790Z [2023-01-11 21:00:17,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 475
2023-01-11T21:01:52.1153257Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1153385Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1153637Z [2023-01-11 21:00:17,732] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 476
2023-01-11T21:01:52.1153884Z [2023-01-11 21:00:19,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 476
2023-01-11T21:01:52.1154275Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1154395Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1154645Z [2023-01-11 21:00:19,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 477
2023-01-11T21:01:52.1154650Z 
2023-01-11T21:01:52.1154655Z 
2023-01-11T21:01:52.1154745Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1154810Z import torch
2023-01-11T21:01:52.1154877Z import random
2023-01-11T21:01:52.1154986Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1155102Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1155107Z 
2023-01-11T21:01:52.1155172Z aten = torch.ops.aten
2023-01-11T21:01:52.1155298Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1155383Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1155388Z 
2023-01-11T21:01:52.1155392Z 
2023-01-11T21:01:52.1155521Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1155720Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1155838Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1155936Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1156030Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1156077Z {
2023-01-11T21:01:52.1156150Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1156207Z     {
2023-01-11T21:01:52.1156334Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1156461Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1156539Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1156620Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1156667Z     }
2023-01-11T21:01:52.1156747Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1156821Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1156878Z     {
2023-01-11T21:01:52.1156956Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1157063Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1157138Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1157201Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1157256Z     }
2023-01-11T21:01:52.1157309Z }
2023-01-11T21:01:52.1157381Z ''')
2023-01-11T21:01:52.1157416Z 
2023-01-11T21:01:52.1157421Z 
2023-01-11T21:01:52.1157503Z async_compile.wait(globals())
2023-01-11T21:01:52.1157569Z del async_compile
2023-01-11T21:01:52.1157574Z 
2023-01-11T21:01:52.1157639Z def call(args):
2023-01-11T21:01:52.1157700Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1157767Z     args.clear()
2023-01-11T21:01:52.1157963Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1158120Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1158186Z     del arg0_1
2023-01-11T21:01:52.1158248Z     del arg1_1
2023-01-11T21:01:52.1158315Z     return (buf0, )
2023-01-11T21:01:52.1158320Z 
2023-01-11T21:01:52.1158326Z 
2023-01-11T21:01:52.1158397Z if __name__ == "__main__":
2023-01-11T21:01:52.1158497Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1158615Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1158839Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1159037Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1159149Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1159154Z 
2023-01-11T21:01:52.1159159Z 
2023-01-11T21:01:52.1159245Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1159309Z import torch
2023-01-11T21:01:52.1159373Z import random
2023-01-11T21:01:52.1159473Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1159586Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1159591Z 
2023-01-11T21:01:52.1159664Z aten = torch.ops.aten
2023-01-11T21:01:52.1159794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1159879Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1159884Z 
2023-01-11T21:01:52.1159889Z 
2023-01-11T21:01:52.1160015Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1160213Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1160325Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1160414Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1160508Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1160565Z {
2023-01-11T21:01:52.1160642Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1160698Z     {
2023-01-11T21:01:52.1160822Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1160946Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1161060Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1161140Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1161216Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1161299Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1161358Z     }
2023-01-11T21:01:52.1161438Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1161515Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1161563Z     {
2023-01-11T21:01:52.1161640Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1161715Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1161805Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1161880Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1161952Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1162023Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1162070Z     }
2023-01-11T21:01:52.1162124Z }
2023-01-11T21:01:52.1162196Z ''')
2023-01-11T21:01:52.1162201Z 
2023-01-11T21:01:52.1162205Z 
2023-01-11T21:01:52.1162284Z async_compile.wait(globals())
2023-01-11T21:01:52.1162387Z del async_compile
2023-01-11T21:01:52.1162392Z 
2023-01-11T21:01:52.1162455Z def call(args):
2023-01-11T21:01:52.1162522Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1162579Z     args.clear()
2023-01-11T21:01:52.1162800Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1162955Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1163018Z     del arg0_1
2023-01-11T21:01:52.1163078Z     del arg1_1
2023-01-11T21:01:52.1163143Z     return (buf0, )
2023-01-11T21:01:52.1163148Z 
2023-01-11T21:01:52.1163152Z 
2023-01-11T21:01:52.1163219Z if __name__ == "__main__":
2023-01-11T21:01:52.1163329Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1163611Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1163849Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1164048Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1164158Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1164163Z 
2023-01-11T21:01:52.1164167Z 
2023-01-11T21:01:52.1164257Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1164322Z import torch
2023-01-11T21:01:52.1164385Z import random
2023-01-11T21:01:52.1164493Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1164600Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1164605Z 
2023-01-11T21:01:52.1164676Z aten = torch.ops.aten
2023-01-11T21:01:52.1164805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1164890Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1164895Z 
2023-01-11T21:01:52.1164899Z 
2023-01-11T21:01:52.1165028Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1165227Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1165343Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1165444Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1165532Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1165589Z {
2023-01-11T21:01:52.1165663Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1165720Z     {
2023-01-11T21:01:52.1165847Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1165975Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1166053Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1166125Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1166180Z     }
2023-01-11T21:01:52.1166258Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1166330Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.1166386Z     {
2023-01-11T21:01:52.1166460Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1166537Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1166603Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1166673Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1166727Z     }
2023-01-11T21:01:52.1166781Z }
2023-01-11T21:01:52.1166851Z ''')
2023-01-11T21:01:52.1166858Z 
2023-01-11T21:01:52.1166862Z 
2023-01-11T21:01:52.1166943Z async_compile.wait(globals())
2023-01-11T21:01:52.1167009Z del async_compile
2023-01-11T21:01:52.1167013Z 
2023-01-11T21:01:52.1167069Z def call(args):
2023-01-11T21:01:52.1167138Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1167202Z     args.clear()
2023-01-11T21:01:52.1167389Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1167542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1167604Z     del arg0_1
2023-01-11T21:01:52.1167665Z     del arg1_1
2023-01-11T21:01:52.1167721Z     return (buf0, )
2023-01-11T21:01:52.1167726Z 
2023-01-11T21:01:52.1167790Z 
2023-01-11T21:01:52.1167851Z if __name__ == "__main__":
2023-01-11T21:01:52.1167960Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1168076Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1168315Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1168511Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1168619Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1168625Z 
2023-01-11T21:01:52.1168629Z 
2023-01-11T21:01:52.1168716Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1168780Z import torch
2023-01-11T21:01:52.1168836Z import random
2023-01-11T21:01:52.1168944Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1169060Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1169065Z 
2023-01-11T21:01:52.1169139Z aten = torch.ops.aten
2023-01-11T21:01:52.1169267Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1169355Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1169360Z 
2023-01-11T21:01:52.1169364Z 
2023-01-11T21:01:52.1169491Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1169690Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1169795Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1169893Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1169986Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1170041Z {
2023-01-11T21:01:52.1170116Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1170171Z     {
2023-01-11T21:01:52.1170298Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1170411Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1170534Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1170613Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1170689Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1170770Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1170828Z     }
2023-01-11T21:01:52.1170911Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1170978Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.1171034Z     {
2023-01-11T21:01:52.1171107Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1171178Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1171266Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1171340Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1171415Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1171477Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1171536Z     }
2023-01-11T21:01:52.1171593Z }
2023-01-11T21:01:52.1171664Z ''')
2023-01-11T21:01:52.1171669Z 
2023-01-11T21:01:52.1171673Z 
2023-01-11T21:01:52.1171753Z async_compile.wait(globals())
2023-01-11T21:01:52.1171823Z del async_compile
2023-01-11T21:01:52.1171828Z 
2023-01-11T21:01:52.1171892Z def call(args):
2023-01-11T21:01:52.1171952Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1172019Z     args.clear()
2023-01-11T21:01:52.1172212Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1172368Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1172429Z     del arg0_1
2023-01-11T21:01:52.1172490Z     del arg1_1
2023-01-11T21:01:52.1172554Z     return (buf0, )
2023-01-11T21:01:52.1172559Z 
2023-01-11T21:01:52.1172563Z 
2023-01-11T21:01:52.1172631Z if __name__ == "__main__":
2023-01-11T21:01:52.1172731Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1172848Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1173050Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1173238Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1173376Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1173381Z 
2023-01-11T21:01:52.1173386Z 
2023-01-11T21:01:52.1173472Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1173563Z import torch
2023-01-11T21:01:52.1173620Z import random
2023-01-11T21:01:52.1173730Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1173844Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1173848Z 
2023-01-11T21:01:52.1173921Z aten = torch.ops.aten
2023-01-11T21:01:52.1174046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1174129Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1174134Z 
2023-01-11T21:01:52.1174139Z 
2023-01-11T21:01:52.1174268Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1174468Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1174583Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1174672Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1174764Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1174819Z {
2023-01-11T21:01:52.1174895Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1174952Z     {
2023-01-11T21:01:52.1175079Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1175202Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1175272Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1175353Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1175409Z     }
2023-01-11T21:01:52.1175487Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1175561Z     for(long i0=32; i0<35; i0+=1)
2023-01-11T21:01:52.1175618Z     {
2023-01-11T21:01:52.1175692Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1175758Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1175835Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1175907Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1175962Z     }
2023-01-11T21:01:52.1176016Z }
2023-01-11T21:01:52.1176090Z ''')
2023-01-11T21:01:52.1176095Z 
2023-01-11T21:01:52.1176099Z 
2023-01-11T21:01:52.1176183Z async_compile.wait(globals())
2023-01-11T21:01:52.1176242Z del async_compile
2023-01-11T21:01:52.1176246Z 
2023-01-11T21:01:52.1176312Z def call(args):
2023-01-11T21:01:52.1176380Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1176445Z     args.clear()
2023-01-11T21:01:52.1176629Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1176784Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1176844Z     del arg0_1
2023-01-11T21:01:52.1176896Z     del arg1_1
2023-01-11T21:01:52.1176960Z     return (buf0, )
2023-01-11T21:01:52.1176965Z 
2023-01-11T21:01:52.1176969Z 
2023-01-11T21:01:52.1177039Z if __name__ == "__main__":
2023-01-11T21:01:52.1177150Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1177267Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1177455Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1177641Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1177748Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1178000Z [2023-01-11 21:00:19,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 477
2023-01-11T21:01:52.1178394Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1178517Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1178797Z [2023-01-11 21:00:19,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 478
2023-01-11T21:01:52.1179082Z [2023-01-11 21:00:19,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 478
2023-01-11T21:01:52.1179475Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1179598Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1179848Z [2023-01-11 21:00:19,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 479
2023-01-11T21:01:52.1180106Z [2023-01-11 21:00:19,364] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 479
2023-01-11T21:01:52.1180499Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1180620Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1180859Z [2023-01-11 21:00:19,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 480
2023-01-11T21:01:52.1181115Z [2023-01-11 21:00:19,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 480
2023-01-11T21:01:52.1181501Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1181623Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1181873Z [2023-01-11 21:00:19,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 481
2023-01-11T21:01:52.1182127Z [2023-01-11 21:00:19,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 481
2023-01-11T21:01:52.1182515Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1182634Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1182878Z [2023-01-11 21:00:19,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 482
2023-01-11T21:01:52.1182886Z 
2023-01-11T21:01:52.1182890Z 
2023-01-11T21:01:52.1182979Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1183046Z import torch
2023-01-11T21:01:52.1183101Z import random
2023-01-11T21:01:52.1183214Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1183329Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1183334Z 
2023-01-11T21:01:52.1183407Z aten = torch.ops.aten
2023-01-11T21:01:52.1183532Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1183617Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1183622Z 
2023-01-11T21:01:52.1183627Z 
2023-01-11T21:01:52.1183757Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1183954Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1184057Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1184184Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1184278Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1184332Z {
2023-01-11T21:01:52.1184406Z     for(long i0=0; i0<4; i0+=1)
2023-01-11T21:01:52.1184500Z     {
2023-01-11T21:01:52.1184629Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1184753Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1184867Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1184944Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1185021Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1185101Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1185158Z     }
2023-01-11T21:01:52.1185238Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1185312Z     for(long i0=32; i0<35; i0+=1)
2023-01-11T21:01:52.1185360Z     {
2023-01-11T21:01:52.1185435Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1185510Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1185599Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1185673Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1185744Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1185809Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1185864Z     }
2023-01-11T21:01:52.1185918Z }
2023-01-11T21:01:52.1185991Z ''')
2023-01-11T21:01:52.1185996Z 
2023-01-11T21:01:52.1186000Z 
2023-01-11T21:01:52.1186081Z async_compile.wait(globals())
2023-01-11T21:01:52.1186151Z del async_compile
2023-01-11T21:01:52.1186156Z 
2023-01-11T21:01:52.1186219Z def call(args):
2023-01-11T21:01:52.1186285Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1186342Z     args.clear()
2023-01-11T21:01:52.1186532Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1186689Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1186752Z     del arg0_1
2023-01-11T21:01:52.1186818Z     del arg1_1
2023-01-11T21:01:52.1186882Z     return (buf0, )
2023-01-11T21:01:52.1186887Z 
2023-01-11T21:01:52.1186892Z 
2023-01-11T21:01:52.1186958Z if __name__ == "__main__":
2023-01-11T21:01:52.1187059Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1187175Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1187367Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1187554Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1187664Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1187669Z 
2023-01-11T21:01:52.1187673Z 
2023-01-11T21:01:52.1187760Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1187823Z import torch
2023-01-11T21:01:52.1187885Z import random
2023-01-11T21:01:52.1187983Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1188099Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1188106Z 
2023-01-11T21:01:52.1188179Z aten = torch.ops.aten
2023-01-11T21:01:52.1188304Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1188390Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1188397Z 
2023-01-11T21:01:52.1188401Z 
2023-01-11T21:01:52.1188526Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1188723Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1188834Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1188925Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1189019Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1189074Z {
2023-01-11T21:01:52.1189152Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1189210Z     {
2023-01-11T21:01:52.1189334Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1189493Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1189570Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1189643Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1189701Z     }
2023-01-11T21:01:52.1189807Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1189887Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1189942Z     {
2023-01-11T21:01:52.1190017Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1190088Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1190161Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1190232Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1190289Z     }
2023-01-11T21:01:52.1190342Z }
2023-01-11T21:01:52.1190415Z ''')
2023-01-11T21:01:52.1190420Z 
2023-01-11T21:01:52.1190424Z 
2023-01-11T21:01:52.1190507Z async_compile.wait(globals())
2023-01-11T21:01:52.1190565Z del async_compile
2023-01-11T21:01:52.1190579Z 
2023-01-11T21:01:52.1190635Z def call(args):
2023-01-11T21:01:52.1190703Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1190772Z     args.clear()
2023-01-11T21:01:52.1190967Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1191124Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1191187Z     del arg0_1
2023-01-11T21:01:52.1191246Z     del arg1_1
2023-01-11T21:01:52.1191303Z     return (buf0, )
2023-01-11T21:01:52.1191308Z 
2023-01-11T21:01:52.1191312Z 
2023-01-11T21:01:52.1191383Z if __name__ == "__main__":
2023-01-11T21:01:52.1191490Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1191608Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1191837Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1192025Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1192132Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1192138Z 
2023-01-11T21:01:52.1192142Z 
2023-01-11T21:01:52.1192228Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1192283Z import torch
2023-01-11T21:01:52.1192347Z import random
2023-01-11T21:01:52.1192458Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1192575Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1192580Z 
2023-01-11T21:01:52.1192654Z aten = torch.ops.aten
2023-01-11T21:01:52.1192780Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1192934Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1192941Z 
2023-01-11T21:01:52.1192946Z 
2023-01-11T21:01:52.1193077Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1193267Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1193381Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1193482Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1193580Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1193633Z {
2023-01-11T21:01:52.1193709Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1193763Z     {
2023-01-11T21:01:52.1193881Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1194004Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1194128Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1194205Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1194280Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1194362Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1194419Z     }
2023-01-11T21:01:52.1194490Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1194569Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1194626Z     {
2023-01-11T21:01:52.1194702Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1194776Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1194905Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1194979Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1195045Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1195145Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1195204Z     }
2023-01-11T21:01:52.1195258Z }
2023-01-11T21:01:52.1195332Z ''')
2023-01-11T21:01:52.1195337Z 
2023-01-11T21:01:52.1195341Z 
2023-01-11T21:01:52.1195424Z async_compile.wait(globals())
2023-01-11T21:01:52.1195492Z del async_compile
2023-01-11T21:01:52.1195496Z 
2023-01-11T21:01:52.1195563Z def call(args):
2023-01-11T21:01:52.1195624Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1195690Z     args.clear()
2023-01-11T21:01:52.1195881Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1196037Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1196100Z     del arg0_1
2023-01-11T21:01:52.1196162Z     del arg1_1
2023-01-11T21:01:52.1196226Z     return (buf0, )
2023-01-11T21:01:52.1196231Z 
2023-01-11T21:01:52.1196235Z 
2023-01-11T21:01:52.1196296Z if __name__ == "__main__":
2023-01-11T21:01:52.1196405Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1196524Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1196753Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1196943Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1197049Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1197055Z 
2023-01-11T21:01:52.1197059Z 
2023-01-11T21:01:52.1197146Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1197213Z import torch
2023-01-11T21:01:52.1197268Z import random
2023-01-11T21:01:52.1197375Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1197490Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1197496Z 
2023-01-11T21:01:52.1197568Z aten = torch.ops.aten
2023-01-11T21:01:52.1197695Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1197780Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1197787Z 
2023-01-11T21:01:52.1197791Z 
2023-01-11T21:01:52.1197916Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1198115Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1198219Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1198316Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1198409Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1198463Z {
2023-01-11T21:01:52.1198538Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1198594Z     {
2023-01-11T21:01:52.1198718Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1198833Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1198910Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1198991Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1199047Z     }
2023-01-11T21:01:52.1199130Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1199206Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1199263Z     {
2023-01-11T21:01:52.1199328Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1199402Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1199477Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1199549Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1199605Z     }
2023-01-11T21:01:52.1199660Z }
2023-01-11T21:01:52.1199732Z ''')
2023-01-11T21:01:52.1199738Z 
2023-01-11T21:01:52.1199741Z 
2023-01-11T21:01:52.1199815Z async_compile.wait(globals())
2023-01-11T21:01:52.1199883Z del async_compile
2023-01-11T21:01:52.1199889Z 
2023-01-11T21:01:52.1199951Z def call(args):
2023-01-11T21:01:52.1200021Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1200117Z     args.clear()
2023-01-11T21:01:52.1200327Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1200511Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1200574Z     del arg0_1
2023-01-11T21:01:52.1200626Z     del arg1_1
2023-01-11T21:01:52.1200690Z     return (buf0, )
2023-01-11T21:01:52.1200695Z 
2023-01-11T21:01:52.1200700Z 
2023-01-11T21:01:52.1200769Z if __name__ == "__main__":
2023-01-11T21:01:52.1200879Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1200996Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1201226Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1201435Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1201543Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1201549Z 
2023-01-11T21:01:52.1201552Z 
2023-01-11T21:01:52.1201631Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1201695Z import torch
2023-01-11T21:01:52.1201761Z import random
2023-01-11T21:01:52.1201874Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1201986Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1201991Z 
2023-01-11T21:01:52.1202061Z aten = torch.ops.aten
2023-01-11T21:01:52.1202186Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1202261Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1202274Z 
2023-01-11T21:01:52.1202279Z 
2023-01-11T21:01:52.1202396Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1202594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1202706Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1202809Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1202902Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1202957Z {
2023-01-11T21:01:52.1203032Z     for(long i0=0; i0<630; i0+=1)
2023-01-11T21:01:52.1203080Z     {
2023-01-11T21:01:52.1203207Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1203330Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1203640Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1203723Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1203799Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1203881Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1203934Z     }
2023-01-11T21:01:52.1204007Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1204084Z     for(long i0=5040; i0<5040; i0+=1)
2023-01-11T21:01:52.1204142Z     {
2023-01-11T21:01:52.1204216Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1204293Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1204383Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1204449Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1204524Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1204597Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1204656Z     }
2023-01-11T21:01:52.1204710Z }
2023-01-11T21:01:52.1204784Z ''')
2023-01-11T21:01:52.1204789Z 
2023-01-11T21:01:52.1204794Z 
2023-01-11T21:01:52.1204877Z async_compile.wait(globals())
2023-01-11T21:01:52.1204944Z del async_compile
2023-01-11T21:01:52.1204948Z 
2023-01-11T21:01:52.1205004Z def call(args):
2023-01-11T21:01:52.1205076Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1205142Z     args.clear()
2023-01-11T21:01:52.1205355Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1205508Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1205624Z     del arg0_1
2023-01-11T21:01:52.1205684Z     del arg1_1
2023-01-11T21:01:52.1205741Z     return (buf0, )
2023-01-11T21:01:52.1205747Z 
2023-01-11T21:01:52.1205750Z 
2023-01-11T21:01:52.1205820Z if __name__ == "__main__":
2023-01-11T21:01:52.1205961Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1206081Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1206311Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1206521Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1206629Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1206895Z [2023-01-11 21:00:19,518] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 482
2023-01-11T21:01:52.1207287Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1207403Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1207654Z [2023-01-11 21:00:19,535] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 483
2023-01-11T21:01:52.1207909Z [2023-01-11 21:00:19,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 483
2023-01-11T21:01:52.1208300Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1208422Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1208675Z [2023-01-11 21:00:19,562] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 484
2023-01-11T21:01:52.1208931Z [2023-01-11 21:00:19,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 484
2023-01-11T21:01:52.1209317Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1209437Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1209685Z [2023-01-11 21:00:19,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 485
2023-01-11T21:01:52.1209941Z [2023-01-11 21:00:19,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 485
2023-01-11T21:01:52.1210328Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1210448Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1210695Z [2023-01-11 21:00:19,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 486
2023-01-11T21:01:52.1210948Z [2023-01-11 21:00:19,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 486
2023-01-11T21:01:52.1211333Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1211479Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1211757Z [2023-01-11 21:00:19,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 487
2023-01-11T21:01:52.1211764Z 
2023-01-11T21:01:52.1211768Z 
2023-01-11T21:01:52.1211858Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1211921Z import torch
2023-01-11T21:01:52.1211987Z import random
2023-01-11T21:01:52.1212087Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1212202Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1212207Z 
2023-01-11T21:01:52.1212279Z aten = torch.ops.aten
2023-01-11T21:01:52.1212409Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1212495Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1212500Z 
2023-01-11T21:01:52.1212504Z 
2023-01-11T21:01:52.1212637Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1212837Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1212949Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1213040Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1213134Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1213189Z {
2023-01-11T21:01:52.1213265Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1213321Z     {
2023-01-11T21:01:52.1213446Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1213571Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1213648Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1213720Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1213778Z     }
2023-01-11T21:01:52.1213859Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1213934Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1213993Z     {
2023-01-11T21:01:52.1214068Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1214133Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1214207Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1214282Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1214338Z     }
2023-01-11T21:01:52.1214393Z }
2023-01-11T21:01:52.1214471Z ''')
2023-01-11T21:01:52.1214476Z 
2023-01-11T21:01:52.1214480Z 
2023-01-11T21:01:52.1214560Z async_compile.wait(globals())
2023-01-11T21:01:52.1214618Z del async_compile
2023-01-11T21:01:52.1214623Z 
2023-01-11T21:01:52.1214686Z def call(args):
2023-01-11T21:01:52.1214755Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1214820Z     args.clear()
2023-01-11T21:01:52.1215016Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1215173Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1215234Z     del arg0_1
2023-01-11T21:01:52.1215289Z     del arg1_1
2023-01-11T21:01:52.1215355Z     return (buf0, )
2023-01-11T21:01:52.1215360Z 
2023-01-11T21:01:52.1215364Z 
2023-01-11T21:01:52.1215432Z if __name__ == "__main__":
2023-01-11T21:01:52.1215547Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1215666Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1215873Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1216066Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1216172Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1216178Z 
2023-01-11T21:01:52.1216182Z 
2023-01-11T21:01:52.1216270Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1216326Z import torch
2023-01-11T21:01:52.1216389Z import random
2023-01-11T21:01:52.1216496Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1216614Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1216648Z 
2023-01-11T21:01:52.1216723Z aten = torch.ops.aten
2023-01-11T21:01:52.1216850Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1216936Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1216968Z 
2023-01-11T21:01:52.1216973Z 
2023-01-11T21:01:52.1217092Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1217288Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1217402Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1217500Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1217594Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1217649Z {
2023-01-11T21:01:52.1217725Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1217772Z     {
2023-01-11T21:01:52.1217897Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1218024Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1218146Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1218225Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1218302Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1218383Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1218442Z     }
2023-01-11T21:01:52.1218514Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1218592Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1218650Z     {
2023-01-11T21:01:52.1218726Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1218798Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1218889Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1218965Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1219030Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1219098Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1219154Z     }
2023-01-11T21:01:52.1219211Z }
2023-01-11T21:01:52.1219285Z ''')
2023-01-11T21:01:52.1219290Z 
2023-01-11T21:01:52.1219294Z 
2023-01-11T21:01:52.1219377Z async_compile.wait(globals())
2023-01-11T21:01:52.1219445Z del async_compile
2023-01-11T21:01:52.1219449Z 
2023-01-11T21:01:52.1219505Z def call(args):
2023-01-11T21:01:52.1219576Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1219640Z     args.clear()
2023-01-11T21:01:52.1219834Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1219990Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1220054Z     del arg0_1
2023-01-11T21:01:52.1220115Z     del arg1_1
2023-01-11T21:01:52.1220172Z     return (buf0, )
2023-01-11T21:01:52.1220178Z 
2023-01-11T21:01:52.1220190Z 
2023-01-11T21:01:52.1220252Z if __name__ == "__main__":
2023-01-11T21:01:52.1220358Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1220475Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1220678Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1220871Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1220984Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1220989Z 
2023-01-11T21:01:52.1220993Z 
2023-01-11T21:01:52.1221081Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1221136Z import torch
2023-01-11T21:01:52.1221199Z import random
2023-01-11T21:01:52.1221306Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1221420Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1221425Z 
2023-01-11T21:01:52.1221499Z aten = torch.ops.aten
2023-01-11T21:01:52.1221628Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1221714Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1221719Z 
2023-01-11T21:01:52.1221723Z 
2023-01-11T21:01:52.1221852Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1222072Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1222187Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1222359Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1222457Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1222515Z {
2023-01-11T21:01:52.1222589Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1222644Z     {
2023-01-11T21:01:52.1222770Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1222883Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1222962Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1223045Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1223104Z     }
2023-01-11T21:01:52.1223227Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1223298Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1223355Z     {
2023-01-11T21:01:52.1223421Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1223497Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1223572Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1223645Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1223705Z     }
2023-01-11T21:01:52.1223761Z }
2023-01-11T21:01:52.1223826Z ''')
2023-01-11T21:01:52.1223831Z 
2023-01-11T21:01:52.1223845Z 
2023-01-11T21:01:52.1223919Z async_compile.wait(globals())
2023-01-11T21:01:52.1223984Z del async_compile
2023-01-11T21:01:52.1223989Z 
2023-01-11T21:01:52.1224055Z def call(args):
2023-01-11T21:01:52.1224126Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1224190Z     args.clear()
2023-01-11T21:01:52.1224387Z     buf0 = empty_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1224542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1224596Z     del arg0_1
2023-01-11T21:01:52.1224657Z     del arg1_1
2023-01-11T21:01:52.1224723Z     return (buf0, )
2023-01-11T21:01:52.1224728Z 
2023-01-11T21:01:52.1224733Z 
2023-01-11T21:01:52.1224803Z if __name__ == "__main__":
2023-01-11T21:01:52.1224912Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1225032Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1225220Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1225419Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1225519Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1225524Z 
2023-01-11T21:01:52.1225528Z 
2023-01-11T21:01:52.1225614Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1225677Z import torch
2023-01-11T21:01:52.1225743Z import random
2023-01-11T21:01:52.1225850Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1225965Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1225972Z 
2023-01-11T21:01:52.1226044Z aten = torch.ops.aten
2023-01-11T21:01:52.1226173Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1226249Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1226254Z 
2023-01-11T21:01:52.1226260Z 
2023-01-11T21:01:52.1226385Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1226582Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1226693Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1226790Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1226884Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1226942Z {
2023-01-11T21:01:52.1227007Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1227067Z     {
2023-01-11T21:01:52.1227191Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1227312Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1227467Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1227547Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1227623Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1227733Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1227782Z     }
2023-01-11T21:01:52.1227864Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1227938Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1227994Z     {
2023-01-11T21:01:52.1228067Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1228142Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1228231Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1228296Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1228368Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1228441Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1228497Z     }
2023-01-11T21:01:52.1228553Z }
2023-01-11T21:01:52.1228625Z ''')
2023-01-11T21:01:52.1228632Z 
2023-01-11T21:01:52.1228636Z 
2023-01-11T21:01:52.1228718Z async_compile.wait(globals())
2023-01-11T21:01:52.1228776Z del async_compile
2023-01-11T21:01:52.1228781Z 
2023-01-11T21:01:52.1228843Z def call(args):
2023-01-11T21:01:52.1228967Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1229036Z     args.clear()
2023-01-11T21:01:52.1229236Z     buf0 = empty_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1229393Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1229458Z     del arg0_1
2023-01-11T21:01:52.1229510Z     del arg1_1
2023-01-11T21:01:52.1229576Z     return (buf0, )
2023-01-11T21:01:52.1229581Z 
2023-01-11T21:01:52.1229585Z 
2023-01-11T21:01:52.1229657Z if __name__ == "__main__":
2023-01-11T21:01:52.1229766Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1229884Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1230071Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1230271Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1230381Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1230388Z 
2023-01-11T21:01:52.1230392Z 
2023-01-11T21:01:52.1230471Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1230536Z import torch
2023-01-11T21:01:52.1230603Z import random
2023-01-11T21:01:52.1230712Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1230827Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1230832Z 
2023-01-11T21:01:52.1230907Z aten = torch.ops.aten
2023-01-11T21:01:52.1231034Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1231122Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1231127Z 
2023-01-11T21:01:52.1231131Z 
2023-01-11T21:01:52.1231248Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1231445Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1231560Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1231660Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1231756Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1231810Z {
2023-01-11T21:01:52.1231886Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1231933Z     {
2023-01-11T21:01:52.1232060Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1232194Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1232270Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1232349Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1232403Z     }
2023-01-11T21:01:52.1232482Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1232558Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1232605Z     {
2023-01-11T21:01:52.1232720Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1232795Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1232951Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1233025Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1233081Z     }
2023-01-11T21:01:52.1233157Z }
2023-01-11T21:01:52.1233231Z ''')
2023-01-11T21:01:52.1233236Z 
2023-01-11T21:01:52.1233241Z 
2023-01-11T21:01:52.1233324Z async_compile.wait(globals())
2023-01-11T21:01:52.1233391Z del async_compile
2023-01-11T21:01:52.1233396Z 
2023-01-11T21:01:52.1233464Z def call(args):
2023-01-11T21:01:52.1233534Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1233599Z     args.clear()
2023-01-11T21:01:52.1233823Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1233970Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1234033Z     del arg0_1
2023-01-11T21:01:52.1234095Z     del arg1_1
2023-01-11T21:01:52.1234162Z     return (buf0, )
2023-01-11T21:01:52.1234167Z 
2023-01-11T21:01:52.1234171Z 
2023-01-11T21:01:52.1234241Z if __name__ == "__main__":
2023-01-11T21:01:52.1234347Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1234466Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1234653Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1234873Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1234983Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1235241Z [2023-01-11 21:00:19,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 487
2023-01-11T21:01:52.1235631Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1235756Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1236009Z [2023-01-11 21:00:19,683] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 488
2023-01-11T21:01:52.1236267Z [2023-01-11 21:00:19,694] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 488
2023-01-11T21:01:52.1236659Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1236778Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1237026Z [2023-01-11 21:00:19,714] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 489
2023-01-11T21:01:52.1237276Z [2023-01-11 21:00:19,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 489
2023-01-11T21:01:52.1237665Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1237787Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1238037Z [2023-01-11 21:00:19,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 490
2023-01-11T21:01:52.1238291Z [2023-01-11 21:00:19,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 490
2023-01-11T21:01:52.1238296Z 
2023-01-11T21:01:52.1238301Z 
2023-01-11T21:01:52.1238417Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1238482Z import torch
2023-01-11T21:01:52.1238548Z import random
2023-01-11T21:01:52.1238656Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1238790Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1238804Z 
2023-01-11T21:01:52.1238869Z aten = torch.ops.aten
2023-01-11T21:01:52.1238998Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1239084Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1239089Z 
2023-01-11T21:01:52.1239093Z 
2023-01-11T21:01:52.1239221Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1239420Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1239533Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1239633Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1239718Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1239777Z {
2023-01-11T21:01:52.1239855Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1239911Z     {
2023-01-11T21:01:52.1240036Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1240160Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1240283Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1240360Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1240425Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1240508Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1240565Z     }
2023-01-11T21:01:52.1240646Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1240723Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1240778Z     {
2023-01-11T21:01:52.1240853Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1240919Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1241011Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1241088Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1241162Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1241235Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1241290Z     }
2023-01-11T21:01:52.1241337Z }
2023-01-11T21:01:52.1241414Z ''')
2023-01-11T21:01:52.1241419Z 
2023-01-11T21:01:52.1241423Z 
2023-01-11T21:01:52.1241506Z async_compile.wait(globals())
2023-01-11T21:01:52.1241571Z del async_compile
2023-01-11T21:01:52.1241576Z 
2023-01-11T21:01:52.1241641Z def call(args):
2023-01-11T21:01:52.1241711Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1241778Z     args.clear()
2023-01-11T21:01:52.1241997Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1242145Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1242208Z     del arg0_1
2023-01-11T21:01:52.1242269Z     del arg1_1
2023-01-11T21:01:52.1242336Z     return (buf0, )
2023-01-11T21:01:52.1242343Z 
2023-01-11T21:01:52.1242347Z 
2023-01-11T21:01:52.1242418Z if __name__ == "__main__":
2023-01-11T21:01:52.1242526Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1242644Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1242842Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1243055Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1243163Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1243168Z 
2023-01-11T21:01:52.1243172Z 
2023-01-11T21:01:52.1243258Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1243324Z import torch
2023-01-11T21:01:52.1243526Z import random
2023-01-11T21:01:52.1243674Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1243790Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1243796Z 
2023-01-11T21:01:52.1243922Z aten = torch.ops.aten
2023-01-11T21:01:52.1244041Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1244125Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1244130Z 
2023-01-11T21:01:52.1244134Z 
2023-01-11T21:01:52.1244303Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1244505Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1244617Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1244715Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1244808Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1244864Z {
2023-01-11T21:01:52.1244929Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1244984Z     {
2023-01-11T21:01:52.1245109Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1245233Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1245315Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1245395Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1245450Z     }
2023-01-11T21:01:52.1245522Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1245599Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.1245660Z     {
2023-01-11T21:01:52.1245735Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1245809Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1245884Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1245947Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1246003Z     }
2023-01-11T21:01:52.1246056Z }
2023-01-11T21:01:52.1246131Z ''')
2023-01-11T21:01:52.1246136Z 
2023-01-11T21:01:52.1246140Z 
2023-01-11T21:01:52.1246223Z async_compile.wait(globals())
2023-01-11T21:01:52.1246290Z del async_compile
2023-01-11T21:01:52.1246295Z 
2023-01-11T21:01:52.1246359Z def call(args):
2023-01-11T21:01:52.1246428Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1246484Z     args.clear()
2023-01-11T21:01:52.1246693Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1246854Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1246919Z     del arg0_1
2023-01-11T21:01:52.1246981Z     del arg1_1
2023-01-11T21:01:52.1247048Z     return (buf0, )
2023-01-11T21:01:52.1247053Z 
2023-01-11T21:01:52.1247057Z 
2023-01-11T21:01:52.1247127Z if __name__ == "__main__":
2023-01-11T21:01:52.1247226Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1247343Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1247537Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1247741Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1247851Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1247856Z 
2023-01-11T21:01:52.1247862Z 
2023-01-11T21:01:52.1247951Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1248015Z import torch
2023-01-11T21:01:52.1248077Z import random
2023-01-11T21:01:52.1248177Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1248294Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1248299Z 
2023-01-11T21:01:52.1248373Z aten = torch.ops.aten
2023-01-11T21:01:52.1248500Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1248585Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1248590Z 
2023-01-11T21:01:52.1248594Z 
2023-01-11T21:01:52.1248720Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1248918Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1249030Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1249120Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1249215Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1249302Z {
2023-01-11T21:01:52.1249376Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1249431Z     {
2023-01-11T21:01:52.1249556Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1249706Z         auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1249832Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1249901Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1249979Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1250063Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1250118Z     }
2023-01-11T21:01:52.1250198Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1250271Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.1250327Z     {
2023-01-11T21:01:52.1250394Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1250467Z         auto tmp3 = in_ptr1[i0];
2023-01-11T21:01:52.1250558Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1250637Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1250712Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1250784Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1250831Z     }
2023-01-11T21:01:52.1250887Z }
2023-01-11T21:01:52.1250966Z ''')
2023-01-11T21:01:52.1250971Z 
2023-01-11T21:01:52.1250975Z 
2023-01-11T21:01:52.1251058Z async_compile.wait(globals())
2023-01-11T21:01:52.1251125Z del async_compile
2023-01-11T21:01:52.1251130Z 
2023-01-11T21:01:52.1251195Z def call(args):
2023-01-11T21:01:52.1251266Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1251333Z     args.clear()
2023-01-11T21:01:52.1251527Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1251684Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1251747Z     del arg0_1
2023-01-11T21:01:52.1251806Z     del arg1_1
2023-01-11T21:01:52.1251873Z     return (buf0, )
2023-01-11T21:01:52.1251880Z 
2023-01-11T21:01:52.1251884Z 
2023-01-11T21:01:52.1251953Z if __name__ == "__main__":
2023-01-11T21:01:52.1252060Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1252169Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1252358Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1252562Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1252671Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1252676Z 
2023-01-11T21:01:52.1252736Z ok (16.071s)
2023-01-11T21:01:52.1253165Z   test_views2_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1253289Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1253546Z [2023-01-11 21:00:19,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 491
2023-01-11T21:01:52.1253811Z [2023-01-11 21:00:21,290] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 491
2023-01-11T21:01:52.1254204Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1254322Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1254563Z [2023-01-11 21:00:21,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 492
2023-01-11T21:01:52.1254848Z [2023-01-11 21:00:22,815] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 492
2023-01-11T21:01:52.1255263Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1255386Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1255633Z [2023-01-11 21:00:22,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 493
2023-01-11T21:01:52.1255887Z [2023-01-11 21:00:24,333] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 493
2023-01-11T21:01:52.1256278Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1256402Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1256648Z [2023-01-11 21:00:24,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 494
2023-01-11T21:01:52.1256905Z [2023-01-11 21:00:25,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 494
2023-01-11T21:01:52.1257293Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1257403Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1257655Z [2023-01-11 21:00:25,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 495
2023-01-11T21:01:52.1257661Z 
2023-01-11T21:01:52.1257752Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1257819Z import torch
2023-01-11T21:01:52.1257884Z import random
2023-01-11T21:01:52.1257994Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1258109Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1258114Z 
2023-01-11T21:01:52.1258190Z aten = torch.ops.aten
2023-01-11T21:01:52.1258310Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1258400Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1258405Z 
2023-01-11T21:01:52.1258410Z 
2023-01-11T21:01:52.1258536Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1258733Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1258844Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1258941Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1258998Z {
2023-01-11T21:01:52.1259075Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1259121Z     {
2023-01-11T21:01:52.1259249Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1259372Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1259451Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1259533Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1259590Z     }
2023-01-11T21:01:52.1259672Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1259737Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.1259798Z     {
2023-01-11T21:01:52.1259875Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1259965Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1260040Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1260114Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1260200Z     }
2023-01-11T21:01:52.1260245Z }
2023-01-11T21:01:52.1260320Z ''')
2023-01-11T21:01:52.1260324Z 
2023-01-11T21:01:52.1260328Z 
2023-01-11T21:01:52.1260414Z async_compile.wait(globals())
2023-01-11T21:01:52.1260479Z del async_compile
2023-01-11T21:01:52.1260522Z 
2023-01-11T21:01:52.1260589Z def call(args):
2023-01-11T21:01:52.1260654Z     arg0_1, = args
2023-01-11T21:01:52.1260721Z     args.clear()
2023-01-11T21:01:52.1260903Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1261031Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1261092Z     del arg0_1
2023-01-11T21:01:52.1261157Z     return (buf0, )
2023-01-11T21:01:52.1261162Z 
2023-01-11T21:01:52.1261166Z 
2023-01-11T21:01:52.1261236Z if __name__ == "__main__":
2023-01-11T21:01:52.1261341Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1261459Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1261666Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1261760Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1261765Z 
2023-01-11T21:01:52.1261780Z 
2023-01-11T21:01:52.1261862Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1261927Z import torch
2023-01-11T21:01:52.1261993Z import random
2023-01-11T21:01:52.1262103Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1262219Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1262224Z 
2023-01-11T21:01:52.1262297Z aten = torch.ops.aten
2023-01-11T21:01:52.1262426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1262503Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1262507Z 
2023-01-11T21:01:52.1262511Z 
2023-01-11T21:01:52.1262635Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1262834Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1262951Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1263046Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1263100Z {
2023-01-11T21:01:52.1263177Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1263224Z     {
2023-01-11T21:01:52.1263351Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1263478Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.1263556Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1263677Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1263754Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1263838Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1263895Z     }
2023-01-11T21:01:52.1263967Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1264041Z     for(long i0=16; i0<16; i0+=1)
2023-01-11T21:01:52.1264098Z     {
2023-01-11T21:01:52.1264177Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1264265Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:52.1264345Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1264430Z         auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:52.1264499Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1264571Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1264627Z     }
2023-01-11T21:01:52.1264684Z }
2023-01-11T21:01:52.1264755Z ''')
2023-01-11T21:01:52.1264760Z 
2023-01-11T21:01:52.1264765Z 
2023-01-11T21:01:52.1264845Z async_compile.wait(globals())
2023-01-11T21:01:52.1264914Z del async_compile
2023-01-11T21:01:52.1264919Z 
2023-01-11T21:01:52.1264974Z def call(args):
2023-01-11T21:01:52.1265039Z     arg0_1, = args
2023-01-11T21:01:52.1265104Z     args.clear()
2023-01-11T21:01:52.1265292Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1265423Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1265517Z     del arg0_1
2023-01-11T21:01:52.1265584Z     return (buf0, )
2023-01-11T21:01:52.1265589Z 
2023-01-11T21:01:52.1265593Z 
2023-01-11T21:01:52.1265654Z if __name__ == "__main__":
2023-01-11T21:01:52.1265762Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1265904Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1266113Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1266214Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1266219Z 
2023-01-11T21:01:52.1266223Z 
2023-01-11T21:01:52.1266311Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1266377Z import torch
2023-01-11T21:01:52.1266442Z import random
2023-01-11T21:01:52.1266542Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1266652Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1266657Z 
2023-01-11T21:01:52.1266730Z aten = torch.ops.aten
2023-01-11T21:01:52.1266859Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1266946Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1266951Z 
2023-01-11T21:01:52.1266955Z 
2023-01-11T21:01:52.1267084Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1267285Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1267399Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1267484Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1267539Z {
2023-01-11T21:01:52.1267614Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1267672Z     {
2023-01-11T21:01:52.1267798Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1267924Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1267999Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1268081Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1268131Z     }
2023-01-11T21:01:52.1268213Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1268291Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1268348Z     {
2023-01-11T21:01:52.1268422Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1268517Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1268584Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1268656Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1268711Z     }
2023-01-11T21:01:52.1268768Z }
2023-01-11T21:01:52.1268842Z ''')
2023-01-11T21:01:52.1268846Z 
2023-01-11T21:01:52.1268850Z 
2023-01-11T21:01:52.1268934Z async_compile.wait(globals())
2023-01-11T21:01:52.1269002Z del async_compile
2023-01-11T21:01:52.1269006Z 
2023-01-11T21:01:52.1269073Z def call(args):
2023-01-11T21:01:52.1269127Z     arg0_1, = args
2023-01-11T21:01:52.1269192Z     args.clear()
2023-01-11T21:01:52.1269388Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1269515Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1269582Z     del arg0_1
2023-01-11T21:01:52.1269647Z     return (buf0, )
2023-01-11T21:01:52.1269652Z 
2023-01-11T21:01:52.1269656Z 
2023-01-11T21:01:52.1269725Z if __name__ == "__main__":
2023-01-11T21:01:52.1269826Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1269944Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1270169Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1270272Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1270276Z 
2023-01-11T21:01:52.1270281Z 
2023-01-11T21:01:52.1270367Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1270429Z import torch
2023-01-11T21:01:52.1270491Z import random
2023-01-11T21:01:52.1270599Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1270705Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1270745Z 
2023-01-11T21:01:52.1270819Z aten = torch.ops.aten
2023-01-11T21:01:52.1270946Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1271033Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1271037Z 
2023-01-11T21:01:52.1271068Z 
2023-01-11T21:01:52.1271196Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1271392Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1271504Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1271594Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1271641Z {
2023-01-11T21:01:52.1271718Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1271774Z     {
2023-01-11T21:01:52.1271898Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1272024Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.1272102Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1272223Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1272289Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1272370Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1272425Z     }
2023-01-11T21:01:52.1272509Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1272586Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1272643Z     {
2023-01-11T21:01:52.1272719Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1272800Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:52.1272976Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1273071Z         auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:52.1273147Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1273220Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1273278Z     }
2023-01-11T21:01:52.1273335Z }
2023-01-11T21:01:52.1273402Z ''')
2023-01-11T21:01:52.1273407Z 
2023-01-11T21:01:52.1273411Z 
2023-01-11T21:01:52.1273494Z async_compile.wait(globals())
2023-01-11T21:01:52.1273570Z del async_compile
2023-01-11T21:01:52.1273575Z 
2023-01-11T21:01:52.1273639Z def call(args):
2023-01-11T21:01:52.1273702Z     arg0_1, = args
2023-01-11T21:01:52.1273766Z     args.clear()
2023-01-11T21:01:52.1273969Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1274087Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1274151Z     del arg0_1
2023-01-11T21:01:52.1274221Z     return (buf0, )
2023-01-11T21:01:52.1274226Z 
2023-01-11T21:01:52.1274230Z 
2023-01-11T21:01:52.1274302Z if __name__ == "__main__":
2023-01-11T21:01:52.1274411Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1274528Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1274751Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1274853Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1274860Z 
2023-01-11T21:01:52.1274864Z 
2023-01-11T21:01:52.1274952Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1275007Z import torch
2023-01-11T21:01:52.1275071Z import random
2023-01-11T21:01:52.1275183Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1275298Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1275302Z 
2023-01-11T21:01:52.1275376Z aten = torch.ops.aten
2023-01-11T21:01:52.1275503Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1275589Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1275595Z 
2023-01-11T21:01:52.1275599Z 
2023-01-11T21:01:52.1275726Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1275914Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1276025Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1276119Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1276214Z {
2023-01-11T21:01:52.1276291Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1276347Z     {
2023-01-11T21:01:52.1276472Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1276615Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1276694Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1276778Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1276835Z     }
2023-01-11T21:01:52.1276915Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1276990Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1277045Z     {
2023-01-11T21:01:52.1277111Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1277204Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1277281Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1277353Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1277408Z     }
2023-01-11T21:01:52.1277463Z }
2023-01-11T21:01:52.1277527Z ''')
2023-01-11T21:01:52.1277542Z 
2023-01-11T21:01:52.1277546Z 
2023-01-11T21:01:52.1277619Z async_compile.wait(globals())
2023-01-11T21:01:52.1277686Z del async_compile
2023-01-11T21:01:52.1277690Z 
2023-01-11T21:01:52.1277756Z def call(args):
2023-01-11T21:01:52.1277822Z     arg0_1, = args
2023-01-11T21:01:52.1277887Z     args.clear()
2023-01-11T21:01:52.1278089Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1278216Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1278269Z     del arg0_1
2023-01-11T21:01:52.1278337Z     return (buf0, )
2023-01-11T21:01:52.1278342Z 
2023-01-11T21:01:52.1278346Z 
2023-01-11T21:01:52.1278418Z if __name__ == "__main__":
2023-01-11T21:01:52.1278528Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1278646Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1278841Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1278946Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1279206Z [2023-01-11 21:00:25,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 495
2023-01-11T21:01:52.1279608Z inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1279721Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1279972Z [2023-01-11 21:00:25,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 496
2023-01-11T21:01:52.1280229Z [2023-01-11 21:00:25,922] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 496
2023-01-11T21:01:52.1280234Z 
2023-01-11T21:01:52.1280238Z 
2023-01-11T21:01:52.1280330Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1280393Z import torch
2023-01-11T21:01:52.1280460Z import random
2023-01-11T21:01:52.1280571Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1280686Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1280691Z 
2023-01-11T21:01:52.1280754Z aten = torch.ops.aten
2023-01-11T21:01:52.1280881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1280967Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1280972Z 
2023-01-11T21:01:52.1280976Z 
2023-01-11T21:01:52.1281104Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1281299Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1281411Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1281506Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1281562Z {
2023-01-11T21:01:52.1281629Z     for(long i0=0; i0<125; i0+=1)
2023-01-11T21:01:52.1281718Z     {
2023-01-11T21:01:52.1281845Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1281968Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2023-01-11T21:01:52.1282070Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1282195Z         auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1282270Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1282351Z         tmp4.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1282399Z     }
2023-01-11T21:01:52.1282478Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1282554Z     for(long i0=1000; i0<1000; i0+=1)
2023-01-11T21:01:52.1282609Z     {
2023-01-11T21:01:52.1282685Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1282775Z         auto tmp1 = static_cast<float>(2);
2023-01-11T21:01:52.1282841Z         auto tmp2 = tmp0 * tmp1;
2023-01-11T21:01:52.1282931Z         auto tmp3 = static_cast<float>(1);
2023-01-11T21:01:52.1283006Z         auto tmp4 = tmp2 + tmp3;
2023-01-11T21:01:52.1283078Z         out_ptr0[i0] = tmp4;
2023-01-11T21:01:52.1283136Z     }
2023-01-11T21:01:52.1283191Z }
2023-01-11T21:01:52.1283265Z ''')
2023-01-11T21:01:52.1283270Z 
2023-01-11T21:01:52.1283276Z 
2023-01-11T21:01:52.1283480Z async_compile.wait(globals())
2023-01-11T21:01:52.1283568Z del async_compile
2023-01-11T21:01:52.1283575Z 
2023-01-11T21:01:52.1283679Z def call(args):
2023-01-11T21:01:52.1283748Z     arg0_1, = args
2023-01-11T21:01:52.1283815Z     args.clear()
2023-01-11T21:01:52.1284023Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1284151Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1284215Z     del arg0_1
2023-01-11T21:01:52.1284271Z     return (buf0, )
2023-01-11T21:01:52.1284277Z 
2023-01-11T21:01:52.1284281Z 
2023-01-11T21:01:52.1284353Z if __name__ == "__main__":
2023-01-11T21:01:52.1284461Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1284582Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1284780Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1284887Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1284892Z 
2023-01-11T21:01:52.1284955Z ok (6.155s)
2023-01-11T21:01:52.1285385Z   test_views3_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1285506Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1285751Z [2023-01-11 21:00:25,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 497
2023-01-11T21:01:52.1286012Z [2023-01-11 21:00:27,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 497
2023-01-11T21:01:52.1286017Z 
2023-01-11T21:01:52.1286104Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1286170Z import torch
2023-01-11T21:01:52.1286238Z import random
2023-01-11T21:01:52.1286347Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1286461Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1286466Z 
2023-01-11T21:01:52.1286541Z aten = torch.ops.aten
2023-01-11T21:01:52.1286658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1286742Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1286748Z 
2023-01-11T21:01:52.1286752Z 
2023-01-11T21:01:52.1286881Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1287080Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1287194Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2023-01-11T21:01:52.1287350Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1287443Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1287500Z {
2023-01-11T21:01:52.1287565Z     #pragma GCC ivdep
2023-01-11T21:01:52.1287677Z     for(long i0=0; i0<744; i0+=1)
2023-01-11T21:01:52.1287734Z     {
2023-01-11T21:01:52.1287807Z         #pragma GCC ivdep
2023-01-11T21:01:52.1287885Z         for(long i1=0; i1<192; i1+=1)
2023-01-11T21:01:52.1287941Z         {
2023-01-11T21:01:52.1287991Z             {
2023-01-11T21:01:52.1288052Z                 {
2023-01-11T21:01:52.1288152Z                     auto tmp0 = in_ptr0[(3*i0) + (i1 / 64)];
2023-01-11T21:01:52.1288254Z                     auto tmp1 = in_ptr1[(64*tmp0) + (i1 % 64)];
2023-01-11T21:01:52.1288341Z                     out_ptr0[i1 + (192*i0)] = tmp1;
2023-01-11T21:01:52.1288401Z                 }
2023-01-11T21:01:52.1288459Z             }
2023-01-11T21:01:52.1288508Z         }
2023-01-11T21:01:52.1288567Z     }
2023-01-11T21:01:52.1288626Z }
2023-01-11T21:01:52.1288702Z ''')
2023-01-11T21:01:52.1288707Z 
2023-01-11T21:01:52.1288711Z 
2023-01-11T21:01:52.1288794Z async_compile.wait(globals())
2023-01-11T21:01:52.1288860Z del async_compile
2023-01-11T21:01:52.1288867Z 
2023-01-11T21:01:52.1288929Z def call(args):
2023-01-11T21:01:52.1288990Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1289054Z     args.clear()
2023-01-11T21:01:52.1289281Z     buf0 = empty_strided((1, 12, 62, 192), (142848, 11904, 192, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1289440Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1289503Z     del arg0_1
2023-01-11T21:01:52.1289564Z     del arg1_1
2023-01-11T21:01:52.1289630Z     return (buf0, )
2023-01-11T21:01:52.1289635Z 
2023-01-11T21:01:52.1289639Z 
2023-01-11T21:01:52.1289711Z if __name__ == "__main__":
2023-01-11T21:01:52.1289810Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1289930Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1290124Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1290316Z     arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64)
2023-01-11T21:01:52.1290424Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1290429Z 
2023-01-11T21:01:52.1290490Z ok (1.632s)
2023-01-11T21:01:52.1290823Z   test_zero_dim_reductions_cpu (__main__.CpuTests) ... [2023-01-11 21:00:27,620] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 498
2023-01-11T21:01:52.1291080Z [2023-01-11 21:00:29,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 498
2023-01-11T21:01:52.1291327Z [2023-01-11 21:00:29,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 499
2023-01-11T21:01:52.1291575Z [2023-01-11 21:00:29,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 499
2023-01-11T21:01:52.1291582Z 
2023-01-11T21:01:52.1291672Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1291737Z import torch
2023-01-11T21:01:52.1291801Z import random
2023-01-11T21:01:52.1291911Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1292027Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1292032Z 
2023-01-11T21:01:52.1292108Z aten = torch.ops.aten
2023-01-11T21:01:52.1292227Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1292317Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1292321Z 
2023-01-11T21:01:52.1292326Z 
2023-01-11T21:01:52.1292454Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1292653Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1292757Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2023-01-11T21:01:52.1292814Z {
2023-01-11T21:01:52.1292917Z     #pragma GCC ivdep
2023-01-11T21:01:52.1292992Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1293039Z     {
2023-01-11T21:01:52.1293096Z         {
2023-01-11T21:01:52.1293156Z             {
2023-01-11T21:01:52.1293282Z                 auto tmp0 = static_cast<bool>(false);
2023-01-11T21:01:52.1293363Z                 auto tmp1 = tmp0 == 0;
2023-01-11T21:01:52.1293441Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.1293499Z             }
2023-01-11T21:01:52.1293548Z         }
2023-01-11T21:01:52.1293602Z     }
2023-01-11T21:01:52.1293656Z }
2023-01-11T21:01:52.1293727Z ''')
2023-01-11T21:01:52.1293732Z 
2023-01-11T21:01:52.1293736Z 
2023-01-11T21:01:52.1293820Z async_compile.wait(globals())
2023-01-11T21:01:52.1293889Z del async_compile
2023-01-11T21:01:52.1293893Z 
2023-01-11T21:01:52.1293960Z def call(args):
2023-01-11T21:01:52.1294015Z     arg0_1, = args
2023-01-11T21:01:52.1294081Z     args.clear()
2023-01-11T21:01:52.1294264Z     buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.1294363Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1294429Z     return (buf0, )
2023-01-11T21:01:52.1294434Z 
2023-01-11T21:01:52.1294438Z 
2023-01-11T21:01:52.1294507Z if __name__ == "__main__":
2023-01-11T21:01:52.1294617Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1294726Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1294918Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2023-01-11T21:01:52.1295018Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1295022Z 
2023-01-11T21:01:52.1295026Z 
2023-01-11T21:01:52.1295115Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1295180Z import torch
2023-01-11T21:01:52.1295245Z import random
2023-01-11T21:01:52.1295357Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1295469Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1295474Z 
2023-01-11T21:01:52.1295539Z aten = torch.ops.aten
2023-01-11T21:01:52.1295666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1295753Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1295758Z 
2023-01-11T21:01:52.1295762Z 
2023-01-11T21:01:52.1295893Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1296092Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1296201Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2023-01-11T21:01:52.1296257Z {
2023-01-11T21:01:52.1296327Z     #pragma GCC ivdep
2023-01-11T21:01:52.1296392Z     for(long i0=0; i0<2; i0+=1)
2023-01-11T21:01:52.1296449Z     {
2023-01-11T21:01:52.1296507Z         {
2023-01-11T21:01:52.1296564Z             {
2023-01-11T21:01:52.1296665Z                 auto tmp0 = static_cast<bool>(false);
2023-01-11T21:01:52.1296745Z                 auto tmp1 = tmp0 == 0;
2023-01-11T21:01:52.1296823Z                 out_ptr0[i0] = tmp1;
2023-01-11T21:01:52.1296872Z             }
2023-01-11T21:01:52.1296931Z         }
2023-01-11T21:01:52.1296990Z     }
2023-01-11T21:01:52.1297047Z }
2023-01-11T21:01:52.1297122Z ''')
2023-01-11T21:01:52.1297126Z 
2023-01-11T21:01:52.1297131Z 
2023-01-11T21:01:52.1297212Z async_compile.wait(globals())
2023-01-11T21:01:52.1297282Z del async_compile
2023-01-11T21:01:52.1297287Z 
2023-01-11T21:01:52.1297343Z def call(args):
2023-01-11T21:01:52.1297408Z     arg0_1, = args
2023-01-11T21:01:52.1297472Z     args.clear()
2023-01-11T21:01:52.1297654Z     buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool)
2023-01-11T21:01:52.1297753Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1297820Z     return (buf0, )
2023-01-11T21:01:52.1297825Z 
2023-01-11T21:01:52.1297829Z 
2023-01-11T21:01:52.1297899Z if __name__ == "__main__":
2023-01-11T21:01:52.1297996Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1298115Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1298306Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2023-01-11T21:01:52.1298440Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1298445Z 
2023-01-11T21:01:52.1298506Z ok (1.643s)
2023-01-11T21:01:52.1298971Z   test_zeros_cpu (__main__.CpuTests) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1299098Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1299354Z [2023-01-11 21:00:29,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 500
2023-01-11T21:01:52.1299613Z [2023-01-11 21:00:30,832] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 500
2023-01-11T21:01:52.1299619Z 
2023-01-11T21:01:52.1299710Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1299765Z import torch
2023-01-11T21:01:52.1299832Z import random
2023-01-11T21:01:52.1299943Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1300059Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1300065Z 
2023-01-11T21:01:52.1300138Z aten = torch.ops.aten
2023-01-11T21:01:52.1300268Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1300354Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1300359Z 
2023-01-11T21:01:52.1300363Z 
2023-01-11T21:01:52.1300492Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1300683Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1300797Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1300890Z                        float* __restrict__ out_ptr0,
2023-01-11T21:01:52.1300982Z                        float* __restrict__ out_ptr1,
2023-01-11T21:01:52.1301074Z                        float* __restrict__ out_ptr2,
2023-01-11T21:01:52.1301161Z                        float* __restrict__ out_ptr3,
2023-01-11T21:01:52.1301249Z                        float* __restrict__ out_ptr4,
2023-01-11T21:01:52.1301329Z                        float* __restrict__ out_ptr5)
2023-01-11T21:01:52.1301388Z {
2023-01-11T21:01:52.1301463Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1301520Z     {
2023-01-11T21:01:52.1301650Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1301776Z         auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2023-01-11T21:01:52.1301854Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1301928Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1302009Z         tmp2.store(out_ptr1 + 8*i0);
2023-01-11T21:01:52.1302066Z     }
2023-01-11T21:01:52.1302148Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1302220Z     for(long i0=8; i0<8; i0+=1)
2023-01-11T21:01:52.1302278Z     {
2023-01-11T21:01:52.1302353Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1302435Z         auto tmp1 = static_cast<float>(1);
2023-01-11T21:01:52.1302513Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1302588Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1302659Z         out_ptr1[i0] = tmp2;
2023-01-11T21:01:52.1302714Z     }
2023-01-11T21:01:52.1302789Z     for(long i0=0; i0<4096; i0+=1)
2023-01-11T21:01:52.1302845Z     {
2023-01-11T21:01:52.1302960Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2023-01-11T21:01:52.1303042Z         tmp0.store(out_ptr2 + 8*i0);
2023-01-11T21:01:52.1303098Z     }
2023-01-11T21:01:52.1303180Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1303255Z     for(long i0=32768; i0<32768; i0+=1)
2023-01-11T21:01:52.1303311Z     {
2023-01-11T21:01:52.1303402Z         auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:52.1303465Z         out_ptr2[i0] = tmp0;
2023-01-11T21:01:52.1303524Z     }
2023-01-11T21:01:52.1303634Z     for(long i0=0; i0<4096; i0+=1)
2023-01-11T21:01:52.1303691Z     {
2023-01-11T21:01:52.1303816Z         auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2023-01-11T21:01:52.1303898Z         tmp0.store(out_ptr3 + 8*i0);
2023-01-11T21:01:52.1303972Z     }
2023-01-11T21:01:52.1304056Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1304137Z     for(long i0=32768; i0<32768; i0+=1)
2023-01-11T21:01:52.1304193Z     {
2023-01-11T21:01:52.1309535Z         auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:52.1309638Z         out_ptr3[i0] = tmp0;
2023-01-11T21:01:52.1309699Z     }
2023-01-11T21:01:52.1309778Z     #pragma GCC ivdep
2023-01-11T21:01:52.1309845Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:52.1309903Z     {
2023-01-11T21:01:52.1309961Z         {
2023-01-11T21:01:52.1310023Z             {
2023-01-11T21:01:52.1310127Z                 auto tmp0 = static_cast<float>(0);
2023-01-11T21:01:52.1310206Z                 out_ptr4[i0] = tmp0;
2023-01-11T21:01:52.1310262Z             }
2023-01-11T21:01:52.1310323Z         }
2023-01-11T21:01:52.1310382Z     }
2023-01-11T21:01:52.1310455Z     #pragma GCC ivdep
2023-01-11T21:01:52.1310535Z     for(long i0=0; i0<6; i0+=1)
2023-01-11T21:01:52.1310592Z     {
2023-01-11T21:01:52.1310652Z         {
2023-01-11T21:01:52.1310701Z             {
2023-01-11T21:01:52.1310803Z                 auto tmp0 = static_cast<float>(3.1416);
2023-01-11T21:01:52.1310882Z                 out_ptr5[i0] = tmp0;
2023-01-11T21:01:52.1310944Z             }
2023-01-11T21:01:52.1311003Z         }
2023-01-11T21:01:52.1311060Z     }
2023-01-11T21:01:52.1311107Z }
2023-01-11T21:01:52.1311205Z ''')
2023-01-11T21:01:52.1311212Z 
2023-01-11T21:01:52.1311216Z 
2023-01-11T21:01:52.1311304Z async_compile.wait(globals())
2023-01-11T21:01:52.1311376Z del async_compile
2023-01-11T21:01:52.1311382Z 
2023-01-11T21:01:52.1311449Z def call(args):
2023-01-11T21:01:52.1311513Z     arg0_1, = args
2023-01-11T21:01:52.1311581Z     args.clear()
2023-01-11T21:01:52.1311776Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1311957Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1312178Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1312393Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1312580Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1312769Z     buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1313109Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2023-01-11T21:01:52.1313177Z     del arg0_1
2023-01-11T21:01:52.1313277Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2023-01-11T21:01:52.1313282Z 
2023-01-11T21:01:52.1313289Z 
2023-01-11T21:01:52.1313361Z if __name__ == "__main__":
2023-01-11T21:01:52.1313460Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1313583Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1313775Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1313878Z     print_performance(lambda: call([arg0_1]))
2023-01-11T21:01:52.1313883Z 
2023-01-11T21:01:52.1313944Z ok (1.639s)
2023-01-11T21:01:52.1314066Z   test_print_pow (__main__.ExprPrinterTests) ... ok (0.005s)
2023-01-11T21:01:52.1314528Z   test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1314766Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1315026Z [2023-01-11 21:00:30,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 501
2023-01-11T21:01:52.1315309Z [2023-01-11 21:00:30,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 501
2023-01-11T21:01:52.1315315Z 
2023-01-11T21:01:52.1315407Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1315475Z import torch
2023-01-11T21:01:52.1315544Z import random
2023-01-11T21:01:52.1315657Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1315774Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1315780Z 
2023-01-11T21:01:52.1315854Z aten = torch.ops.aten
2023-01-11T21:01:52.1315985Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1316063Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1316069Z 
2023-01-11T21:01:52.1316073Z 
2023-01-11T21:01:52.1316205Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1316407Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1316525Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1316627Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1316724Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1316781Z {
2023-01-11T21:01:52.1316847Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1316907Z     {
2023-01-11T21:01:52.1317042Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1317170Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1317249Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1317330Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1317391Z     }
2023-01-11T21:01:52.1317475Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1317539Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1317599Z     {
2023-01-11T21:01:52.1317675Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1317748Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1317822Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1317898Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1317944Z     }
2023-01-11T21:01:52.1318002Z }
2023-01-11T21:01:52.1318076Z ''')
2023-01-11T21:01:52.1318081Z 
2023-01-11T21:01:52.1318086Z 
2023-01-11T21:01:52.1318167Z async_compile.wait(globals())
2023-01-11T21:01:52.1318235Z del async_compile
2023-01-11T21:01:52.1318240Z 
2023-01-11T21:01:52.1318306Z def call(args):
2023-01-11T21:01:52.1318377Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1318445Z     args.clear()
2023-01-11T21:01:52.1318626Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1318785Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1318850Z     del arg0_1
2023-01-11T21:01:52.1318916Z     del arg1_1
2023-01-11T21:01:52.1318984Z     return (buf0, )
2023-01-11T21:01:52.1318989Z 
2023-01-11T21:01:52.1318993Z 
2023-01-11T21:01:52.1319064Z if __name__ == "__main__":
2023-01-11T21:01:52.1319178Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1319289Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1319479Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1319666Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1319778Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1319783Z 
2023-01-11T21:01:52.1319845Z ok (0.028s)
2023-01-11T21:01:52.1320313Z   test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1320469Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1320754Z [2023-01-11 21:00:30,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 502
2023-01-11T21:01:52.1321017Z [2023-01-11 21:00:32,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 502
2023-01-11T21:01:52.1321022Z 
2023-01-11T21:01:52.1321114Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1321170Z import torch
2023-01-11T21:01:52.1321237Z import random
2023-01-11T21:01:52.1321348Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1321463Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1321468Z 
2023-01-11T21:01:52.1321539Z aten = torch.ops.aten
2023-01-11T21:01:52.1321668Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1321759Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1321763Z 
2023-01-11T21:01:52.1321768Z 
2023-01-11T21:01:52.1321898Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1322089Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1322208Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1322308Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1322406Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1322462Z {
2023-01-11T21:01:52.1322534Z     #pragma GCC ivdep
2023-01-11T21:01:52.1322612Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1322659Z     {
2023-01-11T21:01:52.1322738Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1322799Z         {
2023-01-11T21:01:52.1322930Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2023-01-11T21:01:52.1323050Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2023-01-11T21:01:52.1323133Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1323228Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1323276Z         }
2023-01-11T21:01:52.1323505Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1323625Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1323692Z         {
2023-01-11T21:01:52.1323773Z             auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1323850Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1323928Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1324002Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1324061Z         }
2023-01-11T21:01:52.1324121Z     }
2023-01-11T21:01:52.1324176Z }
2023-01-11T21:01:52.1324254Z ''')
2023-01-11T21:01:52.1324261Z 
2023-01-11T21:01:52.1324265Z 
2023-01-11T21:01:52.1324352Z async_compile.wait(globals())
2023-01-11T21:01:52.1324421Z del async_compile
2023-01-11T21:01:52.1324425Z 
2023-01-11T21:01:52.1324481Z def call(args):
2023-01-11T21:01:52.1324554Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1324623Z     args.clear()
2023-01-11T21:01:52.1324827Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1324990Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1325053Z     del arg0_1
2023-01-11T21:01:52.1325115Z     del arg1_1
2023-01-11T21:01:52.1325171Z     return (buf0, )
2023-01-11T21:01:52.1325176Z 
2023-01-11T21:01:52.1325192Z 
2023-01-11T21:01:52.1325252Z if __name__ == "__main__":
2023-01-11T21:01:52.1325363Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1325482Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1325674Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1325876Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1326043Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1326048Z 
2023-01-11T21:01:52.1326111Z ok (1.530s)
2023-01-11T21:01:52.1326610Z   test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1326724Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1326983Z [2023-01-11 21:00:32,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 503
2023-01-11T21:01:52.1327241Z [2023-01-11 21:00:33,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 503
2023-01-11T21:01:52.1327246Z 
2023-01-11T21:01:52.1327337Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1327400Z import torch
2023-01-11T21:01:52.1327468Z import random
2023-01-11T21:01:52.1327579Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1327697Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1327705Z 
2023-01-11T21:01:52.1327768Z aten = torch.ops.aten
2023-01-11T21:01:52.1327896Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1327984Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1327989Z 
2023-01-11T21:01:52.1327993Z 
2023-01-11T21:01:52.1328120Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1328318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1328432Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1328530Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1328624Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1328672Z {
2023-01-11T21:01:52.1328751Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1328808Z     {
2023-01-11T21:01:52.1328938Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1329056Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:52.1329136Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1329220Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1329267Z     }
2023-01-11T21:01:52.1329351Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1329425Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1329481Z     {
2023-01-11T21:01:52.1329558Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1329633Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1329708Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1329771Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1329828Z     }
2023-01-11T21:01:52.1329883Z }
2023-01-11T21:01:52.1329956Z ''')
2023-01-11T21:01:52.1329961Z 
2023-01-11T21:01:52.1329966Z 
2023-01-11T21:01:52.1330054Z async_compile.wait(globals())
2023-01-11T21:01:52.1330123Z del async_compile
2023-01-11T21:01:52.1330128Z 
2023-01-11T21:01:52.1330194Z def call(args):
2023-01-11T21:01:52.1330256Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1330323Z     args.clear()
2023-01-11T21:01:52.1330513Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1330671Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1330735Z     del arg0_1
2023-01-11T21:01:52.1330800Z     del arg1_1
2023-01-11T21:01:52.1330865Z     return (buf0, )
2023-01-11T21:01:52.1330870Z 
2023-01-11T21:01:52.1330874Z 
2023-01-11T21:01:52.1330945Z if __name__ == "__main__":
2023-01-11T21:01:52.1331044Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1331161Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1331349Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1331568Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1331676Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1331681Z 
2023-01-11T21:01:52.1331744Z ok (1.526s)
2023-01-11T21:01:52.1332224Z   test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1332350Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1332606Z [2023-01-11 21:00:33,944] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 504
2023-01-11T21:01:52.1332858Z [2023-01-11 21:00:35,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 504
2023-01-11T21:01:52.1332878Z 
2023-01-11T21:01:52.1332957Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1333025Z import torch
2023-01-11T21:01:52.1333091Z import random
2023-01-11T21:01:52.1333205Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1333320Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1333325Z 
2023-01-11T21:01:52.1333399Z aten = torch.ops.aten
2023-01-11T21:01:52.1333530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1333607Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1333612Z 
2023-01-11T21:01:52.1333617Z 
2023-01-11T21:01:52.1333746Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1333946Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1334062Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1334162Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1334260Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1334315Z {
2023-01-11T21:01:52.1334390Z     #pragma GCC ivdep
2023-01-11T21:01:52.1334455Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1334514Z     {
2023-01-11T21:01:52.1334593Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1334654Z         {
2023-01-11T21:01:52.1334781Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2023-01-11T21:01:52.1334915Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1334996Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1335082Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1335144Z         }
2023-01-11T21:01:52.1335229Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1335305Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1335359Z         {
2023-01-11T21:01:52.1335437Z             auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1335533Z             auto tmp1 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1335601Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1335684Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1335744Z         }
2023-01-11T21:01:52.1335802Z     }
2023-01-11T21:01:52.1335859Z }
2023-01-11T21:01:52.1335934Z ''')
2023-01-11T21:01:52.1335939Z 
2023-01-11T21:01:52.1335943Z 
2023-01-11T21:01:52.1336028Z async_compile.wait(globals())
2023-01-11T21:01:52.1336086Z del async_compile
2023-01-11T21:01:52.1336091Z 
2023-01-11T21:01:52.1336160Z def call(args):
2023-01-11T21:01:52.1336230Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1336296Z     args.clear()
2023-01-11T21:01:52.1336491Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1336647Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1336712Z     del arg0_1
2023-01-11T21:01:52.1336763Z     del arg1_1
2023-01-11T21:01:52.1336862Z     return (buf0, )
2023-01-11T21:01:52.1336868Z 
2023-01-11T21:01:52.1336871Z 
2023-01-11T21:01:52.1336943Z if __name__ == "__main__":
2023-01-11T21:01:52.1337052Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1337197Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1337390Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1337587Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1337700Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1337705Z 
2023-01-11T21:01:52.1337757Z ok (1.532s)
2023-01-11T21:01:52.1338215Z   test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1338343Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1338599Z [2023-01-11 21:00:35,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 505
2023-01-11T21:01:52.1338860Z [2023-01-11 21:00:36,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 505
2023-01-11T21:01:52.1338866Z 
2023-01-11T21:01:52.1338954Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1339022Z import torch
2023-01-11T21:01:52.1339091Z import random
2023-01-11T21:01:52.1339202Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1339307Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1339312Z 
2023-01-11T21:01:52.1339385Z aten = torch.ops.aten
2023-01-11T21:01:52.1339514Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1339600Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1339607Z 
2023-01-11T21:01:52.1339611Z 
2023-01-11T21:01:52.1339741Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1339941Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1340056Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1340159Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1340245Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1340301Z {
2023-01-11T21:01:52.1340374Z     #pragma GCC ivdep
2023-01-11T21:01:52.1340452Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1340509Z     {
2023-01-11T21:01:52.1340585Z         #pragma GCC ivdep
2023-01-11T21:01:52.1340665Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1340714Z         {
2023-01-11T21:01:52.1340773Z             {
2023-01-11T21:01:52.1340834Z                 {
2023-01-11T21:01:52.1340924Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1341025Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1341129Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1341217Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1341297Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1341360Z                 }
2023-01-11T21:01:52.1341421Z             }
2023-01-11T21:01:52.1341477Z         }
2023-01-11T21:01:52.1341532Z     }
2023-01-11T21:01:52.1341589Z }
2023-01-11T21:01:52.1341652Z ''')
2023-01-11T21:01:52.1341667Z 
2023-01-11T21:01:52.1341671Z 
2023-01-11T21:01:52.1341747Z async_compile.wait(globals())
2023-01-11T21:01:52.1341816Z del async_compile
2023-01-11T21:01:52.1341821Z 
2023-01-11T21:01:52.1341888Z def call(args):
2023-01-11T21:01:52.1341961Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1342025Z     args.clear()
2023-01-11T21:01:52.1342220Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1342412Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1342466Z     del arg0_1
2023-01-11T21:01:52.1342527Z     del arg1_1
2023-01-11T21:01:52.1342596Z     return (buf0, )
2023-01-11T21:01:52.1342640Z 
2023-01-11T21:01:52.1342646Z 
2023-01-11T21:01:52.1342719Z if __name__ == "__main__":
2023-01-11T21:01:52.1342828Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1342947Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1343140Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1343334Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1343434Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1343439Z 
2023-01-11T21:01:52.1343502Z ok (1.527s)
2023-01-11T21:01:52.1343961Z   test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1344084Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1344337Z [2023-01-11 21:00:37,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 506
2023-01-11T21:01:52.1344595Z [2023-01-11 21:00:38,502] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 506
2023-01-11T21:01:52.1344601Z 
2023-01-11T21:01:52.1344692Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1344759Z import torch
2023-01-11T21:01:52.1344826Z import random
2023-01-11T21:01:52.1344927Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1345045Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1345052Z 
2023-01-11T21:01:52.1345128Z aten = torch.ops.aten
2023-01-11T21:01:52.1345260Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1345347Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1345352Z 
2023-01-11T21:01:52.1345359Z 
2023-01-11T21:01:52.1345488Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1345688Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1345802Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1345891Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1345986Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1346043Z {
2023-01-11T21:01:52.1346119Z     #pragma GCC ivdep
2023-01-11T21:01:52.1346196Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1346254Z     {
2023-01-11T21:01:52.1346313Z         {
2023-01-11T21:01:52.1346364Z             {
2023-01-11T21:01:52.1346451Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1346536Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1346640Z                 auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:52.1346722Z                 auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1346803Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1346864Z             }
2023-01-11T21:01:52.1346911Z         }
2023-01-11T21:01:52.1346969Z     }
2023-01-11T21:01:52.1347027Z }
2023-01-11T21:01:52.1347100Z ''')
2023-01-11T21:01:52.1347105Z 
2023-01-11T21:01:52.1347109Z 
2023-01-11T21:01:52.1347193Z async_compile.wait(globals())
2023-01-11T21:01:52.1347262Z del async_compile
2023-01-11T21:01:52.1347267Z 
2023-01-11T21:01:52.1347334Z def call(args):
2023-01-11T21:01:52.1347394Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1347461Z     args.clear()
2023-01-11T21:01:52.1347651Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1347807Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1347901Z     del arg0_1
2023-01-11T21:01:52.1347962Z     del arg1_1
2023-01-11T21:01:52.1348034Z     return (buf0, )
2023-01-11T21:01:52.1348039Z 
2023-01-11T21:01:52.1348044Z 
2023-01-11T21:01:52.1348143Z if __name__ == "__main__":
2023-01-11T21:01:52.1348246Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1348364Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1348555Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1348743Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1348851Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1348856Z 
2023-01-11T21:01:52.1348919Z ok (1.519s)
2023-01-11T21:01:52.1349376Z   test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1349503Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1349758Z [2023-01-11 21:00:38,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 507
2023-01-11T21:01:52.1350007Z [2023-01-11 21:00:40,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 507
2023-01-11T21:01:52.1350013Z 
2023-01-11T21:01:52.1350104Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1350173Z import torch
2023-01-11T21:01:52.1350239Z import random
2023-01-11T21:01:52.1350352Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1350469Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1350475Z 
2023-01-11T21:01:52.1350551Z aten = torch.ops.aten
2023-01-11T21:01:52.1350672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1350759Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1350763Z 
2023-01-11T21:01:52.1350768Z 
2023-01-11T21:01:52.1350897Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1351095Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1351210Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1351309Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1351405Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1351462Z {
2023-01-11T21:01:52.1351525Z     #pragma GCC ivdep
2023-01-11T21:01:52.1351601Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1351660Z     {
2023-01-11T21:01:52.1351736Z         #pragma GCC ivdep
2023-01-11T21:01:52.1351812Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1351872Z         {
2023-01-11T21:01:52.1351934Z             {
2023-01-11T21:01:52.1351983Z                 {
2023-01-11T21:01:52.1352070Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1352170Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1352262Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1352352Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1352414Z                 }
2023-01-11T21:01:52.1352471Z             }
2023-01-11T21:01:52.1352519Z         }
2023-01-11T21:01:52.1352575Z     }
2023-01-11T21:01:52.1352633Z }
2023-01-11T21:01:52.1352708Z ''')
2023-01-11T21:01:52.1352713Z 
2023-01-11T21:01:52.1352717Z 
2023-01-11T21:01:52.1352803Z async_compile.wait(globals())
2023-01-11T21:01:52.1352961Z del async_compile
2023-01-11T21:01:52.1352967Z 
2023-01-11T21:01:52.1353034Z def call(args):
2023-01-11T21:01:52.1353095Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1353163Z     args.clear()
2023-01-11T21:01:52.1353366Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1353563Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1353629Z     del arg0_1
2023-01-11T21:01:52.1353693Z     del arg1_1
2023-01-11T21:01:52.1353790Z     return (buf0, )
2023-01-11T21:01:52.1353796Z 
2023-01-11T21:01:52.1353800Z 
2023-01-11T21:01:52.1353863Z if __name__ == "__main__":
2023-01-11T21:01:52.1353973Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1354094Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1354287Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1354482Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1354594Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1354600Z 
2023-01-11T21:01:52.1354662Z ok (1.539s)
2023-01-11T21:01:52.1355131Z   test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1355256Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1355503Z [2023-01-11 21:00:40,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 508
2023-01-11T21:01:52.1355763Z [2023-01-11 21:00:41,584] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 508
2023-01-11T21:01:52.1355769Z 
2023-01-11T21:01:52.1355858Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1355927Z import torch
2023-01-11T21:01:52.1355993Z import random
2023-01-11T21:01:52.1356103Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1356225Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1356230Z 
2023-01-11T21:01:52.1356306Z aten = torch.ops.aten
2023-01-11T21:01:52.1356425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1356515Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1356521Z 
2023-01-11T21:01:52.1356525Z 
2023-01-11T21:01:52.1356655Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1356856Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1356970Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1357071Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1357166Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1357225Z {
2023-01-11T21:01:52.1357287Z     #pragma GCC ivdep
2023-01-11T21:01:52.1357365Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1357427Z     {
2023-01-11T21:01:52.1357506Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1357566Z         {
2023-01-11T21:01:52.1357689Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2023-01-11T21:01:52.1357827Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1357897Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1357994Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1358052Z         }
2023-01-11T21:01:52.1358138Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1358214Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1358271Z         {
2023-01-11T21:01:52.1358351Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1358433Z             auto tmp1 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1358511Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1358597Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1358656Z         }
2023-01-11T21:01:52.1358713Z     }
2023-01-11T21:01:52.1358770Z }
2023-01-11T21:01:52.1358874Z ''')
2023-01-11T21:01:52.1358879Z 
2023-01-11T21:01:52.1358884Z 
2023-01-11T21:01:52.1358959Z async_compile.wait(globals())
2023-01-11T21:01:52.1359026Z del async_compile
2023-01-11T21:01:52.1359031Z 
2023-01-11T21:01:52.1359098Z def call(args):
2023-01-11T21:01:52.1359209Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1359282Z     args.clear()
2023-01-11T21:01:52.1359476Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1359635Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1359702Z     del arg0_1
2023-01-11T21:01:52.1359755Z     del arg1_1
2023-01-11T21:01:52.1359824Z     return (buf0, )
2023-01-11T21:01:52.1359829Z 
2023-01-11T21:01:52.1359833Z 
2023-01-11T21:01:52.1359906Z if __name__ == "__main__":
2023-01-11T21:01:52.1360015Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1360135Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1360326Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1360520Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1360621Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1360637Z 
2023-01-11T21:01:52.1360689Z ok (1.543s)
2023-01-11T21:01:52.1361152Z   test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1361276Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1361529Z [2023-01-11 21:00:41,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 509
2023-01-11T21:01:52.1361792Z [2023-01-11 21:00:43,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 509
2023-01-11T21:01:52.1361797Z 
2023-01-11T21:01:52.1361890Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1361959Z import torch
2023-01-11T21:01:52.1362027Z import random
2023-01-11T21:01:52.1362125Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1362242Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1362246Z 
2023-01-11T21:01:52.1362321Z aten = torch.ops.aten
2023-01-11T21:01:52.1362452Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1362542Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1362547Z 
2023-01-11T21:01:52.1362551Z 
2023-01-11T21:01:52.1362682Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1362882Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1362996Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1363099Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1363185Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1363242Z {
2023-01-11T21:01:52.1363316Z     #pragma GCC ivdep
2023-01-11T21:01:52.1363533Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1363630Z     {
2023-01-11T21:01:52.1363720Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1363770Z         {
2023-01-11T21:01:52.1363892Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2023-01-11T21:01:52.1364020Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:52.1364103Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1364200Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1364261Z         }
2023-01-11T21:01:52.1364348Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1364423Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1364524Z         {
2023-01-11T21:01:52.1364602Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1364677Z             auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1364757Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1364879Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1364939Z         }
2023-01-11T21:01:52.1364986Z     }
2023-01-11T21:01:52.1365042Z }
2023-01-11T21:01:52.1365122Z ''')
2023-01-11T21:01:52.1365126Z 
2023-01-11T21:01:52.1365131Z 
2023-01-11T21:01:52.1365217Z async_compile.wait(globals())
2023-01-11T21:01:52.1365288Z del async_compile
2023-01-11T21:01:52.1365292Z 
2023-01-11T21:01:52.1365360Z def call(args):
2023-01-11T21:01:52.1365434Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1365503Z     args.clear()
2023-01-11T21:01:52.1365698Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1365856Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1365924Z     del arg0_1
2023-01-11T21:01:52.1365987Z     del arg1_1
2023-01-11T21:01:52.1366054Z     return (buf0, )
2023-01-11T21:01:52.1366059Z 
2023-01-11T21:01:52.1366063Z 
2023-01-11T21:01:52.1366133Z if __name__ == "__main__":
2023-01-11T21:01:52.1366245Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1366354Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1366558Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1366747Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1366858Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1366863Z 
2023-01-11T21:01:52.1366925Z ok (1.540s)
2023-01-11T21:01:52.1367388Z   test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1367516Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1367774Z [2023-01-11 21:00:43,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 510
2023-01-11T21:01:52.1368034Z [2023-01-11 21:00:43,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 510
2023-01-11T21:01:52.1368039Z 
2023-01-11T21:01:52.1368130Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1368186Z import torch
2023-01-11T21:01:52.1368251Z import random
2023-01-11T21:01:52.1368360Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1368476Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1368482Z 
2023-01-11T21:01:52.1368559Z aten = torch.ops.aten
2023-01-11T21:01:52.1368690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1368780Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1368785Z 
2023-01-11T21:01:52.1368789Z 
2023-01-11T21:01:52.1368917Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1369109Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1369225Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1369324Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1369421Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1369477Z {
2023-01-11T21:01:52.1369553Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1369614Z     {
2023-01-11T21:01:52.1369732Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1369857Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1369938Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1370055Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1370112Z     }
2023-01-11T21:01:52.1370193Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1370268Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1370314Z     {
2023-01-11T21:01:52.1370416Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1370491Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1370565Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1370640Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1370698Z     }
2023-01-11T21:01:52.1370755Z }
2023-01-11T21:01:52.1370819Z ''')
2023-01-11T21:01:52.1370824Z 
2023-01-11T21:01:52.1370829Z 
2023-01-11T21:01:52.1370912Z async_compile.wait(globals())
2023-01-11T21:01:52.1370981Z del async_compile
2023-01-11T21:01:52.1370986Z 
2023-01-11T21:01:52.1371052Z def call(args):
2023-01-11T21:01:52.1371123Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1371189Z     args.clear()
2023-01-11T21:01:52.1371391Z     buf0 = empty_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1371542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1371608Z     del arg0_1
2023-01-11T21:01:52.1371671Z     del arg1_1
2023-01-11T21:01:52.1371738Z     return (buf0, )
2023-01-11T21:01:52.1371743Z 
2023-01-11T21:01:52.1371747Z 
2023-01-11T21:01:52.1371818Z if __name__ == "__main__":
2023-01-11T21:01:52.1371927Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1372047Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1372252Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1372440Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1372551Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1372556Z 
2023-01-11T21:01:52.1372618Z ok (0.027s)
2023-01-11T21:01:52.1373085Z   test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1373209Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1373464Z [2023-01-11 21:00:43,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 511
2023-01-11T21:01:52.1373723Z [2023-01-11 21:00:43,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 511
2023-01-11T21:01:52.1373729Z 
2023-01-11T21:01:52.1373816Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1373882Z import torch
2023-01-11T21:01:52.1373938Z import random
2023-01-11T21:01:52.1374048Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1374166Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1374172Z 
2023-01-11T21:01:52.1374246Z aten = torch.ops.aten
2023-01-11T21:01:52.1374375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1374467Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1374472Z 
2023-01-11T21:01:52.1374477Z 
2023-01-11T21:01:52.1374606Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1374805Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1374921Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1375011Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1375104Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1375160Z {
2023-01-11T21:01:52.1375235Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1375293Z     {
2023-01-11T21:01:52.1375422Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1375576Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:52.1375645Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1375729Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1375785Z     }
2023-01-11T21:01:52.1375899Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1375976Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1376035Z     {
2023-01-11T21:01:52.1376112Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1376176Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1376252Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1376325Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1376384Z     }
2023-01-11T21:01:52.1376443Z }
2023-01-11T21:01:52.1376518Z ''')
2023-01-11T21:01:52.1376523Z 
2023-01-11T21:01:52.1376527Z 
2023-01-11T21:01:52.1376612Z async_compile.wait(globals())
2023-01-11T21:01:52.1376671Z del async_compile
2023-01-11T21:01:52.1376675Z 
2023-01-11T21:01:52.1376742Z def call(args):
2023-01-11T21:01:52.1376814Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1376884Z     args.clear()
2023-01-11T21:01:52.1377087Z     buf0 = empty_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1377252Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1377316Z     del arg0_1
2023-01-11T21:01:52.1377368Z     del arg1_1
2023-01-11T21:01:52.1377435Z     return (buf0, )
2023-01-11T21:01:52.1377440Z 
2023-01-11T21:01:52.1377444Z 
2023-01-11T21:01:52.1377515Z if __name__ == "__main__":
2023-01-11T21:01:52.1377624Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1377744Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1377947Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1378133Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1378244Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1378251Z 
2023-01-11T21:01:52.1378304Z ok (0.021s)
2023-01-11T21:01:52.1378764Z   test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1378889Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1379142Z [2023-01-11 21:00:43,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 512
2023-01-11T21:01:52.1379409Z [2023-01-11 21:00:43,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 512
2023-01-11T21:01:52.1379414Z 
2023-01-11T21:01:52.1379501Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1379569Z import torch
2023-01-11T21:01:52.1379637Z import random
2023-01-11T21:01:52.1379748Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1379854Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1379859Z 
2023-01-11T21:01:52.1379936Z aten = torch.ops.aten
2023-01-11T21:01:52.1380064Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1380155Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1380160Z 
2023-01-11T21:01:52.1380164Z 
2023-01-11T21:01:52.1380293Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1380493Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1380609Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1380705Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1380790Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1380848Z {
2023-01-11T21:01:52.1380923Z     #pragma GCC ivdep
2023-01-11T21:01:52.1381033Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1381091Z     {
2023-01-11T21:01:52.1381170Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1381229Z         {
2023-01-11T21:01:52.1381380Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2023-01-11T21:01:52.1381519Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1381600Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1381699Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1381758Z         }
2023-01-11T21:01:52.1381844Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1381921Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1381968Z         {
2023-01-11T21:01:52.1382049Z             auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1382141Z             auto tmp1 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1382221Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1382305Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1382365Z         }
2023-01-11T21:01:52.1382421Z     }
2023-01-11T21:01:52.1382467Z }
2023-01-11T21:01:52.1382541Z ''')
2023-01-11T21:01:52.1382546Z 
2023-01-11T21:01:52.1382550Z 
2023-01-11T21:01:52.1382637Z async_compile.wait(globals())
2023-01-11T21:01:52.1382706Z del async_compile
2023-01-11T21:01:52.1382711Z 
2023-01-11T21:01:52.1382778Z def call(args):
2023-01-11T21:01:52.1382851Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1382919Z     args.clear()
2023-01-11T21:01:52.1383113Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1383274Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1383339Z     del arg0_1
2023-01-11T21:01:52.1383401Z     del arg1_1
2023-01-11T21:01:52.1383469Z     return (buf0, )
2023-01-11T21:01:52.1383473Z 
2023-01-11T21:01:52.1383477Z 
2023-01-11T21:01:52.1383549Z if __name__ == "__main__":
2023-01-11T21:01:52.1383662Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1383781Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1383971Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1384168Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1384280Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1384286Z 
2023-01-11T21:01:52.1384348Z ok (0.024s)
2023-01-11T21:01:52.1384803Z   test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1384926Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1385183Z [2023-01-11 21:00:43,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 513
2023-01-11T21:01:52.1385444Z [2023-01-11 21:00:44,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 513
2023-01-11T21:01:52.1385452Z 
2023-01-11T21:01:52.1385542Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1385607Z import torch
2023-01-11T21:01:52.1385663Z import random
2023-01-11T21:01:52.1385774Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1385892Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1385897Z 
2023-01-11T21:01:52.1385972Z aten = torch.ops.aten
2023-01-11T21:01:52.1386102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1386191Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1386196Z 
2023-01-11T21:01:52.1386200Z 
2023-01-11T21:01:52.1386329Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1386547Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1386662Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1386766Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1386893Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1386951Z {
2023-01-11T21:01:52.1387024Z     #pragma GCC ivdep
2023-01-11T21:01:52.1387100Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1387146Z     {
2023-01-11T21:01:52.1387219Z         #pragma GCC ivdep
2023-01-11T21:01:52.1387297Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1387359Z         {
2023-01-11T21:01:52.1387419Z             {
2023-01-11T21:01:52.1387481Z                 {
2023-01-11T21:01:52.1387570Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1387655Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1387760Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1387850Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1387939Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1388002Z                 }
2023-01-11T21:01:52.1388062Z             }
2023-01-11T21:01:52.1388123Z         }
2023-01-11T21:01:52.1388171Z     }
2023-01-11T21:01:52.1388227Z }
2023-01-11T21:01:52.1388300Z ''')
2023-01-11T21:01:52.1388305Z 
2023-01-11T21:01:52.1388309Z 
2023-01-11T21:01:52.1388396Z async_compile.wait(globals())
2023-01-11T21:01:52.1388465Z del async_compile
2023-01-11T21:01:52.1388470Z 
2023-01-11T21:01:52.1388537Z def call(args):
2023-01-11T21:01:52.1388607Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1388663Z     args.clear()
2023-01-11T21:01:52.1388870Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1389030Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1389096Z     del arg0_1
2023-01-11T21:01:52.1389161Z     del arg1_1
2023-01-11T21:01:52.1389229Z     return (buf0, )
2023-01-11T21:01:52.1389234Z 
2023-01-11T21:01:52.1389238Z 
2023-01-11T21:01:52.1389309Z if __name__ == "__main__":
2023-01-11T21:01:52.1389422Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1389530Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1389730Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1389926Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1390037Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1390042Z 
2023-01-11T21:01:52.1390106Z ok (1.522s)
2023-01-11T21:01:52.1390566Z   test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1390692Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1390948Z [2023-01-11 21:00:44,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 514
2023-01-11T21:01:52.1391211Z [2023-01-11 21:00:46,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 514
2023-01-11T21:01:52.1391216Z 
2023-01-11T21:01:52.1391307Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1391362Z import torch
2023-01-11T21:01:52.1391431Z import random
2023-01-11T21:01:52.1391542Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1391663Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1391668Z 
2023-01-11T21:01:52.1391741Z aten = torch.ops.aten
2023-01-11T21:01:52.1391869Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1391989Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1391994Z 
2023-01-11T21:01:52.1391999Z 
2023-01-11T21:01:52.1392118Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1392347Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1392464Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1392562Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1392658Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1392714Z {
2023-01-11T21:01:52.1392786Z     #pragma GCC ivdep
2023-01-11T21:01:52.1392939Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1392991Z     {
2023-01-11T21:01:52.1393066Z         #pragma GCC ivdep
2023-01-11T21:01:52.1393146Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1393206Z         {
2023-01-11T21:01:52.1393269Z             {
2023-01-11T21:01:52.1393328Z                 {
2023-01-11T21:01:52.1393410Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1393496Z                     auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1393602Z                     auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:52.1393693Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1393784Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1393846Z                 }
2023-01-11T21:01:52.1393903Z             }
2023-01-11T21:01:52.1393951Z         }
2023-01-11T21:01:52.1394008Z     }
2023-01-11T21:01:52.1394063Z }
2023-01-11T21:01:52.1394143Z ''')
2023-01-11T21:01:52.1394148Z 
2023-01-11T21:01:52.1394153Z 
2023-01-11T21:01:52.1394240Z async_compile.wait(globals())
2023-01-11T21:01:52.1394312Z del async_compile
2023-01-11T21:01:52.1394317Z 
2023-01-11T21:01:52.1394384Z def call(args):
2023-01-11T21:01:52.1394444Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1394512Z     args.clear()
2023-01-11T21:01:52.1394718Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1394881Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1394942Z     del arg0_1
2023-01-11T21:01:52.1395005Z     del arg1_1
2023-01-11T21:01:52.1395073Z     return (buf0, )
2023-01-11T21:01:52.1395078Z 
2023-01-11T21:01:52.1395082Z 
2023-01-11T21:01:52.1395154Z if __name__ == "__main__":
2023-01-11T21:01:52.1395252Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1395371Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1395572Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1395760Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1395870Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1395875Z 
2023-01-11T21:01:52.1395939Z ok (1.522s)
2023-01-11T21:01:52.1396396Z   test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1396521Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1396776Z [2023-01-11 21:00:46,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 515
2023-01-11T21:01:52.1397025Z [2023-01-11 21:00:47,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 515
2023-01-11T21:01:52.1397040Z 
2023-01-11T21:01:52.1397119Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1397184Z import torch
2023-01-11T21:01:52.1397250Z import random
2023-01-11T21:01:52.1397360Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1397474Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1397510Z 
2023-01-11T21:01:52.1397586Z aten = torch.ops.aten
2023-01-11T21:01:52.1397715Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1397852Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1397857Z 
2023-01-11T21:01:52.1397862Z 
2023-01-11T21:01:52.1397993Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1398195Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1398310Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1398410Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1398506Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1398564Z {
2023-01-11T21:01:52.1398635Z     #pragma GCC ivdep
2023-01-11T21:01:52.1398703Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1398760Z     {
2023-01-11T21:01:52.1398836Z         #pragma GCC ivdep
2023-01-11T21:01:52.1398917Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1398978Z         {
2023-01-11T21:01:52.1399037Z             {
2023-01-11T21:01:52.1399086Z                 {
2023-01-11T21:01:52.1399176Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1399278Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1399364Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1399454Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1399514Z                 }
2023-01-11T21:01:52.1399574Z             }
2023-01-11T21:01:52.1399622Z         }
2023-01-11T21:01:52.1399680Z     }
2023-01-11T21:01:52.1399736Z }
2023-01-11T21:01:52.1399809Z ''')
2023-01-11T21:01:52.1399815Z 
2023-01-11T21:01:52.1399819Z 
2023-01-11T21:01:52.1399906Z async_compile.wait(globals())
2023-01-11T21:01:52.1399976Z del async_compile
2023-01-11T21:01:52.1399981Z 
2023-01-11T21:01:52.1400048Z def call(args):
2023-01-11T21:01:52.1400108Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1400177Z     args.clear()
2023-01-11T21:01:52.1400380Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1400542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1400607Z     del arg0_1
2023-01-11T21:01:52.1400670Z     del arg1_1
2023-01-11T21:01:52.1400739Z     return (buf0, )
2023-01-11T21:01:52.1400744Z 
2023-01-11T21:01:52.1400748Z 
2023-01-11T21:01:52.1400819Z if __name__ == "__main__":
2023-01-11T21:01:52.1400917Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1401037Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1401240Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1401435Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1401544Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1401551Z 
2023-01-11T21:01:52.1401614Z ok (1.536s)
2023-01-11T21:01:52.1402082Z   test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1402207Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1402464Z [2023-01-11 21:00:47,798] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 516
2023-01-11T21:01:52.1402713Z [2023-01-11 21:00:47,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 516
2023-01-11T21:01:52.1402728Z 
2023-01-11T21:01:52.1402807Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1402873Z import torch
2023-01-11T21:01:52.1402969Z import random
2023-01-11T21:01:52.1403081Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1403194Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1403200Z 
2023-01-11T21:01:52.1403302Z aten = torch.ops.aten
2023-01-11T21:01:52.1403601Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1403681Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1403686Z 
2023-01-11T21:01:52.1403690Z 
2023-01-11T21:01:52.1403825Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1404027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1404142Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1404241Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1404338Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1404397Z {
2023-01-11T21:01:52.1404472Z     #pragma GCC ivdep
2023-01-11T21:01:52.1404540Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1404598Z     {
2023-01-11T21:01:52.1404675Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1404735Z         {
2023-01-11T21:01:52.1404871Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2023-01-11T21:01:52.1405006Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1405087Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1405172Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1405232Z         }
2023-01-11T21:01:52.1405318Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1405394Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1405452Z         {
2023-01-11T21:01:52.1405528Z             auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1405619Z             auto tmp1 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1405687Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1405773Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1405835Z         }
2023-01-11T21:01:52.1405892Z     }
2023-01-11T21:01:52.1405949Z }
2023-01-11T21:01:52.1406022Z ''')
2023-01-11T21:01:52.1406027Z 
2023-01-11T21:01:52.1406031Z 
2023-01-11T21:01:52.1406119Z async_compile.wait(globals())
2023-01-11T21:01:52.1406178Z del async_compile
2023-01-11T21:01:52.1406183Z 
2023-01-11T21:01:52.1406254Z def call(args):
2023-01-11T21:01:52.1406323Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1406390Z     args.clear()
2023-01-11T21:01:52.1406593Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1406749Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1406814Z     del arg0_1
2023-01-11T21:01:52.1406866Z     del arg1_1
2023-01-11T21:01:52.1406934Z     return (buf0, )
2023-01-11T21:01:52.1406939Z 
2023-01-11T21:01:52.1406943Z 
2023-01-11T21:01:52.1407015Z if __name__ == "__main__":
2023-01-11T21:01:52.1407129Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1407249Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1407452Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1407647Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1407762Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1407767Z 
2023-01-11T21:01:52.1407819Z ok (0.030s)
2023-01-11T21:01:52.1408283Z   test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1408410Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1408717Z [2023-01-11 21:00:47,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 517
2023-01-11T21:01:52.1409023Z [2023-01-11 21:00:49,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 517
2023-01-11T21:01:52.1409029Z 
2023-01-11T21:01:52.1409120Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1409186Z import torch
2023-01-11T21:01:52.1409252Z import random
2023-01-11T21:01:52.1409362Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1409470Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1409487Z 
2023-01-11T21:01:52.1409551Z aten = torch.ops.aten
2023-01-11T21:01:52.1409681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1409770Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1409775Z 
2023-01-11T21:01:52.1409780Z 
2023-01-11T21:01:52.1409908Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1410110Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1410223Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1410326Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1410412Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1410469Z {
2023-01-11T21:01:52.1410545Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1410603Z     {
2023-01-11T21:01:52.1410720Z         auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2023-01-11T21:01:52.1410847Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1410928Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1411001Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1411060Z     }
2023-01-11T21:01:52.1411143Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1411217Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1411272Z     {
2023-01-11T21:01:52.1411352Z         auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1411429Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1411493Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1411569Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1411626Z     }
2023-01-11T21:01:52.1411686Z }
2023-01-11T21:01:52.1411760Z ''')
2023-01-11T21:01:52.1411765Z 
2023-01-11T21:01:52.1411769Z 
2023-01-11T21:01:52.1411852Z async_compile.wait(globals())
2023-01-11T21:01:52.1411921Z del async_compile
2023-01-11T21:01:52.1411926Z 
2023-01-11T21:01:52.1411982Z def call(args):
2023-01-11T21:01:52.1412054Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1412122Z     args.clear()
2023-01-11T21:01:52.1412311Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1412472Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1412536Z     del arg0_1
2023-01-11T21:01:52.1412597Z     del arg1_1
2023-01-11T21:01:52.1412653Z     return (buf0, )
2023-01-11T21:01:52.1412672Z 
2023-01-11T21:01:52.1412676Z 
2023-01-11T21:01:52.1412737Z if __name__ == "__main__":
2023-01-11T21:01:52.1412847Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1412968Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1413158Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1413347Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1413457Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1413462Z 
2023-01-11T21:01:52.1413525Z ok (1.532s)
2023-01-11T21:01:52.1413988Z   test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1414144Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1414412Z [2023-01-11 21:00:49,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 518
2023-01-11T21:01:52.1414672Z [2023-01-11 21:00:49,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 518
2023-01-11T21:01:52.1414678Z 
2023-01-11T21:01:52.1414768Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1414835Z import torch
2023-01-11T21:01:52.1414901Z import random
2023-01-11T21:01:52.1415012Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1415130Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1415135Z 
2023-01-11T21:01:52.1415209Z aten = torch.ops.aten
2023-01-11T21:01:52.1415328Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1415416Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1415423Z 
2023-01-11T21:01:52.1415427Z 
2023-01-11T21:01:52.1415555Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1415755Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1415871Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1415972Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1416068Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1416128Z {
2023-01-11T21:01:52.1416193Z     for(long i0=0; i0<1; i0+=1)
2023-01-11T21:01:52.1416251Z     {
2023-01-11T21:01:52.1416369Z         auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2023-01-11T21:01:52.1416496Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1416577Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1416661Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1416721Z     }
2023-01-11T21:01:52.1416794Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1416871Z     for(long i0=8; i0<10; i0+=1)
2023-01-11T21:01:52.1416928Z     {
2023-01-11T21:01:52.1417004Z         auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1417082Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1417161Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1417224Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1417282Z     }
2023-01-11T21:01:52.1417340Z }
2023-01-11T21:01:52.1417414Z ''')
2023-01-11T21:01:52.1417420Z 
2023-01-11T21:01:52.1417424Z 
2023-01-11T21:01:52.1417509Z async_compile.wait(globals())
2023-01-11T21:01:52.1417580Z del async_compile
2023-01-11T21:01:52.1417584Z 
2023-01-11T21:01:52.1417651Z def call(args):
2023-01-11T21:01:52.1417723Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1417779Z     args.clear()
2023-01-11T21:01:52.1417979Z     buf0 = empty_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1418136Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1418203Z     del arg0_1
2023-01-11T21:01:52.1418268Z     del arg1_1
2023-01-11T21:01:52.1418334Z     return (buf0, )
2023-01-11T21:01:52.1418339Z 
2023-01-11T21:01:52.1418343Z 
2023-01-11T21:01:52.1418414Z if __name__ == "__main__":
2023-01-11T21:01:52.1418516Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1418634Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1418820Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1419022Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1419131Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1419136Z 
2023-01-11T21:01:52.1419198Z ok (0.029s)
2023-01-11T21:01:52.1419662Z   test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1419856Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1420113Z [2023-01-11 21:00:49,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 519
2023-01-11T21:01:52.1420371Z [2023-01-11 21:00:50,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 519
2023-01-11T21:01:52.1420376Z 
2023-01-11T21:01:52.1420454Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1420520Z import torch
2023-01-11T21:01:52.1420586Z import random
2023-01-11T21:01:52.1420697Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1420814Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1420818Z 
2023-01-11T21:01:52.1420892Z aten = torch.ops.aten
2023-01-11T21:01:52.1421024Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1421100Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1421116Z 
2023-01-11T21:01:52.1421121Z 
2023-01-11T21:01:52.1421238Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1421441Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1421555Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1421655Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1421752Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1421812Z {
2023-01-11T21:01:52.1421869Z     {
2023-01-11T21:01:52.1421919Z         {
2023-01-11T21:01:52.1422003Z             auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1422082Z             auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1422164Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1422238Z             out_ptr0[0] = tmp2;
2023-01-11T21:01:52.1422300Z         }
2023-01-11T21:01:52.1422358Z     }
2023-01-11T21:01:52.1422404Z }
2023-01-11T21:01:52.1422480Z ''')
2023-01-11T21:01:52.1422485Z 
2023-01-11T21:01:52.1422490Z 
2023-01-11T21:01:52.1422575Z async_compile.wait(globals())
2023-01-11T21:01:52.1422646Z del async_compile
2023-01-11T21:01:52.1422651Z 
2023-01-11T21:01:52.1422719Z def call(args):
2023-01-11T21:01:52.1422789Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1422854Z     args.clear()
2023-01-11T21:01:52.1423031Z     buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1423186Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1423250Z     del arg0_1
2023-01-11T21:01:52.1423310Z     del arg1_1
2023-01-11T21:01:52.1423378Z     return (buf0, )
2023-01-11T21:01:52.1423383Z 
2023-01-11T21:01:52.1423387Z 
2023-01-11T21:01:52.1423459Z if __name__ == "__main__":
2023-01-11T21:01:52.1423568Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1423686Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1423864Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1424048Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1424162Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1424167Z 
2023-01-11T21:01:52.1424228Z ok (1.496s)
2023-01-11T21:01:52.1424689Z   test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1424815Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1425073Z [2023-01-11 21:00:50,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 520
2023-01-11T21:01:52.1425365Z [2023-01-11 21:00:52,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 520
2023-01-11T21:01:52.1425371Z 
2023-01-11T21:01:52.1425489Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1425546Z import torch
2023-01-11T21:01:52.1425614Z import random
2023-01-11T21:01:52.1425724Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1425841Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1425846Z 
2023-01-11T21:01:52.1425920Z aten = torch.ops.aten
2023-01-11T21:01:52.1426051Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1426139Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1426144Z 
2023-01-11T21:01:52.1426148Z 
2023-01-11T21:01:52.1426277Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1426465Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1426583Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1426683Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1426781Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1426837Z {
2023-01-11T21:01:52.1426914Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.1426969Z     {
2023-01-11T21:01:52.1427075Z         auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2023-01-11T21:01:52.1427204Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1427284Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1427367Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1427424Z     }
2023-01-11T21:01:52.1427507Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1427583Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.1427631Z     {
2023-01-11T21:01:52.1427707Z         auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1427785Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1427863Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1427938Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1427995Z     }
2023-01-11T21:01:52.1428050Z }
2023-01-11T21:01:52.1428114Z ''')
2023-01-11T21:01:52.1428121Z 
2023-01-11T21:01:52.1428126Z 
2023-01-11T21:01:52.1428209Z async_compile.wait(globals())
2023-01-11T21:01:52.1428278Z del async_compile
2023-01-11T21:01:52.1428283Z 
2023-01-11T21:01:52.1428352Z def call(args):
2023-01-11T21:01:52.1428423Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1428490Z     args.clear()
2023-01-11T21:01:52.1428684Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1428844Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1428900Z     del arg0_1
2023-01-11T21:01:52.1428962Z     del arg1_1
2023-01-11T21:01:52.1429030Z     return (buf0, )
2023-01-11T21:01:52.1429035Z 
2023-01-11T21:01:52.1429041Z 
2023-01-11T21:01:52.1429114Z if __name__ == "__main__":
2023-01-11T21:01:52.1429226Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1429346Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1429536Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1429720Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1429832Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1429837Z 
2023-01-11T21:01:52.1429902Z ok (1.524s)
2023-01-11T21:01:52.1430364Z   test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1430516Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1430772Z [2023-01-11 21:00:52,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 521
2023-01-11T21:01:52.1431056Z [2023-01-11 21:00:53,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 521
2023-01-11T21:01:52.1431062Z 
2023-01-11T21:01:52.1431155Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1431220Z import torch
2023-01-11T21:01:52.1431287Z import random
2023-01-11T21:01:52.1431388Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1431508Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1431513Z 
2023-01-11T21:01:52.1431585Z aten = torch.ops.aten
2023-01-11T21:01:52.1431717Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1431804Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1431809Z 
2023-01-11T21:01:52.1431813Z 
2023-01-11T21:01:52.1431946Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1432147Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1432263Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1432358Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1432455Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1432512Z {
2023-01-11T21:01:52.1432586Z     #pragma GCC ivdep
2023-01-11T21:01:52.1432664Z     for(long i0=0; i0<100; i0+=1)
2023-01-11T21:01:52.1432722Z     {
2023-01-11T21:01:52.1432770Z         {
2023-01-11T21:01:52.1432833Z             {
2023-01-11T21:01:52.1432991Z                 auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1433078Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:52.1433180Z                 auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1433265Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1433341Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1433392Z             }
2023-01-11T21:01:52.1433452Z         }
2023-01-11T21:01:52.1433512Z     }
2023-01-11T21:01:52.1433570Z }
2023-01-11T21:01:52.1433648Z ''')
2023-01-11T21:01:52.1433654Z 
2023-01-11T21:01:52.1433658Z 
2023-01-11T21:01:52.1433746Z async_compile.wait(globals())
2023-01-11T21:01:52.1433815Z del async_compile
2023-01-11T21:01:52.1433820Z 
2023-01-11T21:01:52.1433887Z def call(args):
2023-01-11T21:01:52.1433948Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1434018Z     args.clear()
2023-01-11T21:01:52.1434212Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1434370Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1434437Z     del arg0_1
2023-01-11T21:01:52.1434500Z     del arg1_1
2023-01-11T21:01:52.1434566Z     return (buf0, )
2023-01-11T21:01:52.1434570Z 
2023-01-11T21:01:52.1434575Z 
2023-01-11T21:01:52.1434636Z if __name__ == "__main__":
2023-01-11T21:01:52.1434747Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1434867Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1435056Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1435250Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1435359Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1435364Z 
2023-01-11T21:01:52.1435427Z ok (1.525s)
2023-01-11T21:01:52.1435885Z   test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1436010Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1436284Z [2023-01-11 21:00:53,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 522
2023-01-11T21:01:52.1436573Z [2023-01-11 21:00:55,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 522
2023-01-11T21:01:52.1436579Z 
2023-01-11T21:01:52.1436671Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1436738Z import torch
2023-01-11T21:01:52.1436805Z import random
2023-01-11T21:01:52.1436916Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1437033Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1437039Z 
2023-01-11T21:01:52.1437116Z aten = torch.ops.aten
2023-01-11T21:01:52.1437235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1437324Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1437329Z 
2023-01-11T21:01:52.1437333Z 
2023-01-11T21:01:52.1437463Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1437666Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1437782Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1437883Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1437978Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1438036Z {
2023-01-11T21:01:52.1438098Z     #pragma GCC ivdep
2023-01-11T21:01:52.1438177Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1438235Z     {
2023-01-11T21:01:52.1438295Z         {
2023-01-11T21:01:52.1438355Z             {
2023-01-11T21:01:52.1438438Z                 auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1438512Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1438614Z                 auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:52.1438696Z                 auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1438774Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1438835Z             }
2023-01-11T21:01:52.1438897Z         }
2023-01-11T21:01:52.1438952Z     }
2023-01-11T21:01:52.1438997Z }
2023-01-11T21:01:52.1439072Z ''')
2023-01-11T21:01:52.1439077Z 
2023-01-11T21:01:52.1439082Z 
2023-01-11T21:01:52.1439168Z async_compile.wait(globals())
2023-01-11T21:01:52.1439240Z del async_compile
2023-01-11T21:01:52.1439246Z 
2023-01-11T21:01:52.1439312Z def call(args):
2023-01-11T21:01:52.1439383Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1439451Z     args.clear()
2023-01-11T21:01:52.1439630Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1439787Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1439851Z     del arg0_1
2023-01-11T21:01:52.1439913Z     del arg1_1
2023-01-11T21:01:52.1439979Z     return (buf0, )
2023-01-11T21:01:52.1439984Z 
2023-01-11T21:01:52.1439988Z 
2023-01-11T21:01:52.1440059Z if __name__ == "__main__":
2023-01-11T21:01:52.1440169Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1440292Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1440470Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1440663Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1440774Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1440779Z 
2023-01-11T21:01:52.1440844Z ok (1.542s)
2023-01-11T21:01:52.1441301Z   test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1441424Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1441706Z [2023-01-11 21:00:55,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 523
2023-01-11T21:01:52.1441967Z [2023-01-11 21:00:56,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 523
2023-01-11T21:01:52.1441999Z 
2023-01-11T21:01:52.1442092Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1442157Z import torch
2023-01-11T21:01:52.1442212Z import random
2023-01-11T21:01:52.1442323Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1442441Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1442446Z 
2023-01-11T21:01:52.1442520Z aten = torch.ops.aten
2023-01-11T21:01:52.1442648Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1442733Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1442738Z 
2023-01-11T21:01:52.1442742Z 
2023-01-11T21:01:52.1442872Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1443074Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1443181Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1443281Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1443598Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1443666Z {
2023-01-11T21:01:52.1443740Z     #pragma GCC ivdep
2023-01-11T21:01:52.1443820Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1443877Z     {
2023-01-11T21:01:52.1443940Z         #pragma GCC ivdep
2023-01-11T21:01:52.1444018Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1444079Z         {
2023-01-11T21:01:52.1444140Z             {
2023-01-11T21:01:52.1444206Z                 {
2023-01-11T21:01:52.1444294Z                     auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1444383Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1444471Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1444558Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1444621Z                 }
2023-01-11T21:01:52.1444681Z             }
2023-01-11T21:01:52.1444742Z         }
2023-01-11T21:01:52.1444800Z     }
2023-01-11T21:01:52.1444846Z }
2023-01-11T21:01:52.1444923Z ''')
2023-01-11T21:01:52.1444931Z 
2023-01-11T21:01:52.1444936Z 
2023-01-11T21:01:52.1445023Z async_compile.wait(globals())
2023-01-11T21:01:52.1445092Z del async_compile
2023-01-11T21:01:52.1445097Z 
2023-01-11T21:01:52.1445165Z def call(args):
2023-01-11T21:01:52.1445235Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1445303Z     args.clear()
2023-01-11T21:01:52.1445488Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1445649Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1445715Z     del arg0_1
2023-01-11T21:01:52.1445779Z     del arg1_1
2023-01-11T21:01:52.1445846Z     return (buf0, )
2023-01-11T21:01:52.1445851Z 
2023-01-11T21:01:52.1445857Z 
2023-01-11T21:01:52.1445928Z if __name__ == "__main__":
2023-01-11T21:01:52.1446036Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1446157Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1446337Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1446532Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1446646Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1446651Z 
2023-01-11T21:01:52.1446714Z ok (1.532s)
2023-01-11T21:01:52.1447177Z   test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1447357Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1447616Z [2023-01-11 21:00:57,008] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 524
2023-01-11T21:01:52.1447911Z [2023-01-11 21:00:57,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 524
2023-01-11T21:01:52.1447916Z 
2023-01-11T21:01:52.1448008Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1448074Z import torch
2023-01-11T21:01:52.1448130Z import random
2023-01-11T21:01:52.1448243Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1448358Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1448363Z 
2023-01-11T21:01:52.1448441Z aten = torch.ops.aten
2023-01-11T21:01:52.1448571Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1448659Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1448664Z 
2023-01-11T21:01:52.1448670Z 
2023-01-11T21:01:52.1448801Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1449001Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1449107Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1449209Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1449306Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1449368Z {
2023-01-11T21:01:52.1449446Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.1449502Z     {
2023-01-11T21:01:52.1449622Z         auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2023-01-11T21:01:52.1449740Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1449821Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1449906Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1449963Z     }
2023-01-11T21:01:52.1450048Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1450124Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.1450184Z     {
2023-01-11T21:01:52.1450249Z         auto tmp0 = in_ptr0[0];
2023-01-11T21:01:52.1450326Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1450403Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1450480Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1450537Z     }
2023-01-11T21:01:52.1450595Z }
2023-01-11T21:01:52.1450658Z ''')
2023-01-11T21:01:52.1450677Z 
2023-01-11T21:01:52.1450681Z 
2023-01-11T21:01:52.1450755Z async_compile.wait(globals())
2023-01-11T21:01:52.1450826Z del async_compile
2023-01-11T21:01:52.1450831Z 
2023-01-11T21:01:52.1450897Z def call(args):
2023-01-11T21:01:52.1450969Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1451035Z     args.clear()
2023-01-11T21:01:52.1451229Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1451388Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1451442Z     del arg0_1
2023-01-11T21:01:52.1451509Z     del arg1_1
2023-01-11T21:01:52.1451576Z     return (buf0, )
2023-01-11T21:01:52.1451581Z 
2023-01-11T21:01:52.1451585Z 
2023-01-11T21:01:52.1451657Z if __name__ == "__main__":
2023-01-11T21:01:52.1451770Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1451890Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1452080Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1452275Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1452375Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1452380Z 
2023-01-11T21:01:52.1452446Z ok (0.028s)
2023-01-11T21:01:52.1452903Z   test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1453058Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1453341Z [2023-01-11 21:00:57,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 525
2023-01-11T21:01:52.1453604Z [2023-01-11 21:00:58,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 525
2023-01-11T21:01:52.1453609Z 
2023-01-11T21:01:52.1453700Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1453766Z import torch
2023-01-11T21:01:52.1453833Z import random
2023-01-11T21:01:52.1453933Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1454049Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1454054Z 
2023-01-11T21:01:52.1454129Z aten = torch.ops.aten
2023-01-11T21:01:52.1454259Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1454348Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1454353Z 
2023-01-11T21:01:52.1454357Z 
2023-01-11T21:01:52.1454488Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1454690Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1454806Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1454896Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1454992Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1455050Z {
2023-01-11T21:01:52.1455123Z     #pragma GCC ivdep
2023-01-11T21:01:52.1455197Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1455255Z     {
2023-01-11T21:01:52.1455331Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1455381Z         {
2023-01-11T21:01:52.1455517Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1455645Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:52.1455729Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1455826Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1455886Z         }
2023-01-11T21:01:52.1455972Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1456037Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1456096Z         {
2023-01-11T21:01:52.1456187Z             auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1456267Z             auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1456345Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1456429Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1456488Z         }
2023-01-11T21:01:52.1456536Z     }
2023-01-11T21:01:52.1456593Z }
2023-01-11T21:01:52.1456668Z ''')
2023-01-11T21:01:52.1456674Z 
2023-01-11T21:01:52.1456678Z 
2023-01-11T21:01:52.1456761Z async_compile.wait(globals())
2023-01-11T21:01:52.1456831Z del async_compile
2023-01-11T21:01:52.1456838Z 
2023-01-11T21:01:52.1456906Z def call(args):
2023-01-11T21:01:52.1456978Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1457034Z     args.clear()
2023-01-11T21:01:52.1457231Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1457392Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1457457Z     del arg0_1
2023-01-11T21:01:52.1457520Z     del arg1_1
2023-01-11T21:01:52.1457588Z     return (buf0, )
2023-01-11T21:01:52.1457593Z 
2023-01-11T21:01:52.1457597Z 
2023-01-11T21:01:52.1457669Z if __name__ == "__main__":
2023-01-11T21:01:52.1457778Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1457888Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1458083Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1458273Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1458417Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1458422Z 
2023-01-11T21:01:52.1458487Z ok (1.524s)
2023-01-11T21:01:52.1458992Z   test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1459120Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1459373Z [2023-01-11 21:00:58,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 526
2023-01-11T21:01:52.1459634Z [2023-01-11 21:01:00,059] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 526
2023-01-11T21:01:52.1459640Z 
2023-01-11T21:01:52.1459731Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1459788Z import torch
2023-01-11T21:01:52.1459855Z import random
2023-01-11T21:01:52.1459966Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1460084Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1460091Z 
2023-01-11T21:01:52.1460166Z aten = torch.ops.aten
2023-01-11T21:01:52.1460295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1460382Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1460387Z 
2023-01-11T21:01:52.1460391Z 
2023-01-11T21:01:52.1460509Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1460709Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1460824Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1460924Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1461021Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1461081Z {
2023-01-11T21:01:52.1461154Z     #pragma GCC ivdep
2023-01-11T21:01:52.1461231Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1461278Z     {
2023-01-11T21:01:52.1461358Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1461417Z         {
2023-01-11T21:01:52.1461555Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1461676Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2023-01-11T21:01:52.1461756Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1461855Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1461904Z         }
2023-01-11T21:01:52.1461990Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1462064Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1462124Z         {
2023-01-11T21:01:52.1462215Z             auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1462294Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1462370Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1462446Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1462506Z         }
2023-01-11T21:01:52.1462563Z     }
2023-01-11T21:01:52.1462620Z }
2023-01-11T21:01:52.1462694Z ''')
2023-01-11T21:01:52.1462699Z 
2023-01-11T21:01:52.1462705Z 
2023-01-11T21:01:52.1462788Z async_compile.wait(globals())
2023-01-11T21:01:52.1462858Z del async_compile
2023-01-11T21:01:52.1462863Z 
2023-01-11T21:01:52.1462919Z def call(args):
2023-01-11T21:01:52.1462991Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1463058Z     args.clear()
2023-01-11T21:01:52.1463261Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1463421Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1463484Z     del arg0_1
2023-01-11T21:01:52.1463546Z     del arg1_1
2023-01-11T21:01:52.1463603Z     return (buf0, )
2023-01-11T21:01:52.1463607Z 
2023-01-11T21:01:52.1463623Z 
2023-01-11T21:01:52.1463717Z if __name__ == "__main__":
2023-01-11T21:01:52.1463829Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1463946Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1464171Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1464375Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1464483Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1464488Z 
2023-01-11T21:01:52.1464554Z ok (1.520s)
2023-01-11T21:01:52.1465013Z   test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1465129Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1465386Z [2023-01-11 21:01:00,079] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 527
2023-01-11T21:01:52.1465649Z [2023-01-11 21:01:01,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 527
2023-01-11T21:01:52.1465655Z 
2023-01-11T21:01:52.1465745Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1465812Z import torch
2023-01-11T21:01:52.1465880Z import random
2023-01-11T21:01:52.1465991Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1466110Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1466116Z 
2023-01-11T21:01:52.1466180Z aten = torch.ops.aten
2023-01-11T21:01:52.1466312Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1466399Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1466404Z 
2023-01-11T21:01:52.1466408Z 
2023-01-11T21:01:52.1466540Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1466743Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1466858Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1466962Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1467055Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1467101Z {
2023-01-11T21:01:52.1467179Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.1467237Z     {
2023-01-11T21:01:52.1467364Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1467478Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:52.1467557Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1467642Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1467689Z     }
2023-01-11T21:01:52.1467773Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1467851Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.1467909Z     {
2023-01-11T21:01:52.1467986Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1468063Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1468140Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1468205Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1468262Z     }
2023-01-11T21:01:52.1468320Z }
2023-01-11T21:01:52.1468395Z ''')
2023-01-11T21:01:52.1468400Z 
2023-01-11T21:01:52.1468404Z 
2023-01-11T21:01:52.1468488Z async_compile.wait(globals())
2023-01-11T21:01:52.1468558Z del async_compile
2023-01-11T21:01:52.1468563Z 
2023-01-11T21:01:52.1468632Z def call(args):
2023-01-11T21:01:52.1468692Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1468760Z     args.clear()
2023-01-11T21:01:52.1468957Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1469115Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1469180Z     del arg0_1
2023-01-11T21:01:52.1469274Z     del arg1_1
2023-01-11T21:01:52.1469341Z     return (buf0, )
2023-01-11T21:01:52.1469346Z 
2023-01-11T21:01:52.1469350Z 
2023-01-11T21:01:52.1469423Z if __name__ == "__main__":
2023-01-11T21:01:52.1469548Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1469669Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1469864Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1470050Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1470160Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1470166Z 
2023-01-11T21:01:52.1470227Z ok (1.523s)
2023-01-11T21:01:52.1470680Z   test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1470806Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1471063Z [2023-01-11 21:01:01,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 528
2023-01-11T21:01:52.1471311Z [2023-01-11 21:01:01,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 528
2023-01-11T21:01:52.1471327Z 
2023-01-11T21:01:52.1471407Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1471471Z import torch
2023-01-11T21:01:52.1471539Z import random
2023-01-11T21:01:52.1471649Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1471763Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1471768Z 
2023-01-11T21:01:52.1471841Z aten = torch.ops.aten
2023-01-11T21:01:52.1471972Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1472050Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1472054Z 
2023-01-11T21:01:52.1472058Z 
2023-01-11T21:01:52.1472188Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1472389Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1472504Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1472604Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1472699Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1472758Z {
2023-01-11T21:01:52.1472832Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.1472959Z     {
2023-01-11T21:01:52.1473091Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1473216Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1473295Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1473381Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1473442Z     }
2023-01-11T21:01:52.1473527Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1473593Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.1473650Z     {
2023-01-11T21:01:52.1473728Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1473806Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1473882Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1473956Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1474002Z     }
2023-01-11T21:01:52.1474060Z }
2023-01-11T21:01:52.1474137Z ''')
2023-01-11T21:01:52.1474142Z 
2023-01-11T21:01:52.1474147Z 
2023-01-11T21:01:52.1474231Z async_compile.wait(globals())
2023-01-11T21:01:52.1474301Z del async_compile
2023-01-11T21:01:52.1474307Z 
2023-01-11T21:01:52.1474372Z def call(args):
2023-01-11T21:01:52.1474443Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1474510Z     args.clear()
2023-01-11T21:01:52.1474693Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1474854Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1474957Z     del arg0_1
2023-01-11T21:01:52.1475022Z     del arg1_1
2023-01-11T21:01:52.1475090Z     return (buf0, )
2023-01-11T21:01:52.1475095Z 
2023-01-11T21:01:52.1475126Z 
2023-01-11T21:01:52.1475199Z if __name__ == "__main__":
2023-01-11T21:01:52.1475311Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1475420Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1475618Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1475810Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1475923Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1475928Z 
2023-01-11T21:01:52.1475994Z ok (0.030s)
2023-01-11T21:01:52.1476448Z   test_cpu_dense_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1476573Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1476829Z [2023-01-11 21:01:01,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 529
2023-01-11T21:01:52.1477092Z [2023-01-11 21:01:03,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 529
2023-01-11T21:01:52.1477097Z 
2023-01-11T21:01:52.1477190Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1477246Z import torch
2023-01-11T21:01:52.1477314Z import random
2023-01-11T21:01:52.1477424Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1477542Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1477547Z 
2023-01-11T21:01:52.1477624Z aten = torch.ops.aten
2023-01-11T21:01:52.1477757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1477846Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1477851Z 
2023-01-11T21:01:52.1477855Z 
2023-01-11T21:01:52.1477988Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1478178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1478294Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1478398Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1478497Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1478555Z {
2023-01-11T21:01:52.1478628Z     #pragma GCC ivdep
2023-01-11T21:01:52.1478703Z     for(long i0=0; i0<100; i0+=1)
2023-01-11T21:01:52.1478751Z     {
2023-01-11T21:01:52.1478812Z         {
2023-01-11T21:01:52.1478874Z             {
2023-01-11T21:01:52.1478960Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1479049Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:52.1479156Z                 auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1479239Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1479308Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1479369Z             }
2023-01-11T21:01:52.1479429Z         }
2023-01-11T21:01:52.1479488Z     }
2023-01-11T21:01:52.1479545Z }
2023-01-11T21:01:52.1479619Z ''')
2023-01-11T21:01:52.1479624Z 
2023-01-11T21:01:52.1479628Z 
2023-01-11T21:01:52.1479714Z async_compile.wait(globals())
2023-01-11T21:01:52.1479773Z del async_compile
2023-01-11T21:01:52.1479778Z 
2023-01-11T21:01:52.1479846Z def call(args):
2023-01-11T21:01:52.1479917Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1479984Z     args.clear()
2023-01-11T21:01:52.1480179Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1480339Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1480434Z     del arg0_1
2023-01-11T21:01:52.1480487Z     del arg1_1
2023-01-11T21:01:52.1480555Z     return (buf0, )
2023-01-11T21:01:52.1480560Z 
2023-01-11T21:01:52.1480564Z 
2023-01-11T21:01:52.1480662Z if __name__ == "__main__":
2023-01-11T21:01:52.1480774Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1480895Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1481097Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1481292Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1481403Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1481408Z 
2023-01-11T21:01:52.1481460Z ok (1.519s)
2023-01-11T21:01:52.1481911Z   test_cpu_dense_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1482039Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1482295Z [2023-01-11 21:01:03,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 530
2023-01-11T21:01:52.1482554Z [2023-01-11 21:01:04,677] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 530
2023-01-11T21:01:52.1482559Z 
2023-01-11T21:01:52.1482650Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1482719Z import torch
2023-01-11T21:01:52.1482786Z import random
2023-01-11T21:01:52.1482899Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1483006Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1483011Z 
2023-01-11T21:01:52.1483087Z aten = torch.ops.aten
2023-01-11T21:01:52.1483219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1483307Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1483312Z 
2023-01-11T21:01:52.1483316Z 
2023-01-11T21:01:52.1483608Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1483813Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1483927Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1484026Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1484111Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1484170Z {
2023-01-11T21:01:52.1484245Z     #pragma GCC ivdep
2023-01-11T21:01:52.1484322Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1484381Z     {
2023-01-11T21:01:52.1484456Z         #pragma GCC ivdep
2023-01-11T21:01:52.1484536Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1484585Z         {
2023-01-11T21:01:52.1484648Z             {
2023-01-11T21:01:52.1484711Z                 {
2023-01-11T21:01:52.1484810Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1484899Z                     auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1485007Z                     auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:52.1485098Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1485176Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1485239Z                 }
2023-01-11T21:01:52.1485298Z             }
2023-01-11T21:01:52.1485356Z         }
2023-01-11T21:01:52.1485415Z     }
2023-01-11T21:01:52.1485473Z }
2023-01-11T21:01:52.1485538Z ''')
2023-01-11T21:01:52.1485553Z 
2023-01-11T21:01:52.1485558Z 
2023-01-11T21:01:52.1485631Z async_compile.wait(globals())
2023-01-11T21:01:52.1485699Z del async_compile
2023-01-11T21:01:52.1485704Z 
2023-01-11T21:01:52.1485773Z def call(args):
2023-01-11T21:01:52.1485843Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1485909Z     args.clear()
2023-01-11T21:01:52.1486191Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1486349Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1486437Z     del arg0_1
2023-01-11T21:01:52.1486502Z     del arg1_1
2023-01-11T21:01:52.1486570Z     return (buf0, )
2023-01-11T21:01:52.1486575Z 
2023-01-11T21:01:52.1486579Z 
2023-01-11T21:01:52.1486651Z if __name__ == "__main__":
2023-01-11T21:01:52.1486762Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1486882Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1487078Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1487264Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1487364Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1487369Z 
2023-01-11T21:01:52.1487435Z ok (1.545s)
2023-01-11T21:01:52.1487895Z   test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1488020Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1488275Z [2023-01-11 21:01:04,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 531
2023-01-11T21:01:52.1488537Z [2023-01-11 21:01:06,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 531
2023-01-11T21:01:52.1488542Z 
2023-01-11T21:01:52.1488632Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1488699Z import torch
2023-01-11T21:01:52.1488768Z import random
2023-01-11T21:01:52.1488869Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1488988Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1488993Z 
2023-01-11T21:01:52.1489068Z aten = torch.ops.aten
2023-01-11T21:01:52.1489200Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1489289Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1489294Z 
2023-01-11T21:01:52.1489298Z 
2023-01-11T21:01:52.1489428Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1489628Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1489744Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1489833Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1489930Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1489989Z {
2023-01-11T21:01:52.1490062Z     #pragma GCC ivdep
2023-01-11T21:01:52.1490139Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1490199Z     {
2023-01-11T21:01:52.1490275Z         #pragma GCC ivdep
2023-01-11T21:01:52.1490342Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1490403Z         {
2023-01-11T21:01:52.1490464Z             {
2023-01-11T21:01:52.1490527Z                 {
2023-01-11T21:01:52.1490626Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1490724Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1490811Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1490889Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1490951Z                 }
2023-01-11T21:01:52.1491013Z             }
2023-01-11T21:01:52.1491072Z         }
2023-01-11T21:01:52.1491132Z     }
2023-01-11T21:01:52.1491189Z }
2023-01-11T21:01:52.1491252Z ''')
2023-01-11T21:01:52.1491270Z 
2023-01-11T21:01:52.1491274Z 
2023-01-11T21:01:52.1491348Z async_compile.wait(globals())
2023-01-11T21:01:52.1491415Z del async_compile
2023-01-11T21:01:52.1491420Z 
2023-01-11T21:01:52.1491514Z def call(args):
2023-01-11T21:01:52.1491586Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1491653Z     args.clear()
2023-01-11T21:01:52.1491852Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1492037Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1492095Z     del arg0_1
2023-01-11T21:01:52.1492158Z     del arg1_1
2023-01-11T21:01:52.1492226Z     return (buf0, )
2023-01-11T21:01:52.1492231Z 
2023-01-11T21:01:52.1492235Z 
2023-01-11T21:01:52.1492308Z if __name__ == "__main__":
2023-01-11T21:01:52.1492416Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1492535Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1492731Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1492927Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1493030Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1493035Z 
2023-01-11T21:01:52.1493099Z ok (1.525s)
2023-01-11T21:01:52.1493558Z   test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1493679Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1493934Z [2023-01-11 21:01:06,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 532
2023-01-11T21:01:52.1494193Z [2023-01-11 21:01:07,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 532
2023-01-11T21:01:52.1494198Z 
2023-01-11T21:01:52.1494287Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1494356Z import torch
2023-01-11T21:01:52.1494423Z import random
2023-01-11T21:01:52.1494523Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1494642Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1494649Z 
2023-01-11T21:01:52.1494724Z aten = torch.ops.aten
2023-01-11T21:01:52.1494854Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1494943Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1494948Z 
2023-01-11T21:01:52.1494952Z 
2023-01-11T21:01:52.1495080Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1495280Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1495394Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1495485Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1495582Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1495643Z {
2023-01-11T21:01:52.1495716Z     #pragma GCC ivdep
2023-01-11T21:01:52.1495792Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1495850Z     {
2023-01-11T21:01:52.1495921Z         #pragma GCC ivdep
2023-01-11T21:01:52.1495990Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1496050Z         {
2023-01-11T21:01:52.1496112Z             {
2023-01-11T21:01:52.1496175Z                 {
2023-01-11T21:01:52.1496272Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1496366Z                     auto tmp1 = in_ptr1[i0 + (10*i1)];
2023-01-11T21:01:52.1496454Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1496531Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1496592Z                 }
2023-01-11T21:01:52.1496650Z             }
2023-01-11T21:01:52.1496709Z         }
2023-01-11T21:01:52.1496768Z     }
2023-01-11T21:01:52.1496824Z }
2023-01-11T21:01:52.1496887Z ''')
2023-01-11T21:01:52.1496904Z 
2023-01-11T21:01:52.1496908Z 
2023-01-11T21:01:52.1497012Z async_compile.wait(globals())
2023-01-11T21:01:52.1497081Z del async_compile
2023-01-11T21:01:52.1497087Z 
2023-01-11T21:01:52.1497154Z def call(args):
2023-01-11T21:01:52.1497226Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1497330Z     args.clear()
2023-01-11T21:01:52.1497527Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1497686Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1497741Z     del arg0_1
2023-01-11T21:01:52.1497806Z     del arg1_1
2023-01-11T21:01:52.1497874Z     return (buf0, )
2023-01-11T21:01:52.1497879Z 
2023-01-11T21:01:52.1497883Z 
2023-01-11T21:01:52.1497957Z if __name__ == "__main__":
2023-01-11T21:01:52.1498068Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1498187Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1498380Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1498576Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1498675Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1498680Z 
2023-01-11T21:01:52.1498743Z ok (1.543s)
2023-01-11T21:01:52.1499198Z   test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1499322Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1499573Z [2023-01-11 21:01:07,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 533
2023-01-11T21:01:52.1499831Z [2023-01-11 21:01:09,281] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 533
2023-01-11T21:01:52.1499839Z 
2023-01-11T21:01:52.1499929Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1499997Z import torch
2023-01-11T21:01:52.1500063Z import random
2023-01-11T21:01:52.1500164Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1500281Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1500286Z 
2023-01-11T21:01:52.1500362Z aten = torch.ops.aten
2023-01-11T21:01:52.1500492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1500580Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1500585Z 
2023-01-11T21:01:52.1500589Z 
2023-01-11T21:01:52.1500717Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1500916Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1501032Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1501123Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1501223Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1501282Z {
2023-01-11T21:01:52.1501354Z     #pragma GCC ivdep
2023-01-11T21:01:52.1501432Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1501494Z     {
2023-01-11T21:01:52.1501568Z         #pragma GCC ivdep
2023-01-11T21:01:52.1501636Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1501697Z         {
2023-01-11T21:01:52.1501760Z             {
2023-01-11T21:01:52.1501821Z                 {
2023-01-11T21:01:52.1501914Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1502007Z                     auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1502102Z                     auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1502185Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1502273Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1502334Z                 }
2023-01-11T21:01:52.1502423Z             }
2023-01-11T21:01:52.1502483Z         }
2023-01-11T21:01:52.1502540Z     }
2023-01-11T21:01:52.1502586Z }
2023-01-11T21:01:52.1502660Z ''')
2023-01-11T21:01:52.1502665Z 
2023-01-11T21:01:52.1502669Z 
2023-01-11T21:01:52.1502755Z async_compile.wait(globals())
2023-01-11T21:01:52.1502850Z del async_compile
2023-01-11T21:01:52.1502855Z 
2023-01-11T21:01:52.1502923Z def call(args):
2023-01-11T21:01:52.1502993Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1503062Z     args.clear()
2023-01-11T21:01:52.1503246Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1503406Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1503468Z     del arg0_1
2023-01-11T21:01:52.1503530Z     del arg1_1
2023-01-11T21:01:52.1503597Z     return (buf0, )
2023-01-11T21:01:52.1503602Z 
2023-01-11T21:01:52.1503606Z 
2023-01-11T21:01:52.1503678Z if __name__ == "__main__":
2023-01-11T21:01:52.1503786Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1503906Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1504090Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1504280Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1504388Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1504393Z 
2023-01-11T21:01:52.1504454Z ok (1.536s)
2023-01-11T21:01:52.1504912Z   test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1505034Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1505293Z [2023-01-11 21:01:09,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 534
2023-01-11T21:01:52.1505552Z [2023-01-11 21:01:10,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 534
2023-01-11T21:01:52.1505559Z 
2023-01-11T21:01:52.1505649Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1505704Z import torch
2023-01-11T21:01:52.1505770Z import random
2023-01-11T21:01:52.1505879Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1505997Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1506002Z 
2023-01-11T21:01:52.1506079Z aten = torch.ops.aten
2023-01-11T21:01:52.1506209Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1506295Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1506300Z 
2023-01-11T21:01:52.1506304Z 
2023-01-11T21:01:52.1506435Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1506622Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1506744Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1506845Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1506944Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1507002Z {
2023-01-11T21:01:52.1507073Z     #pragma GCC ivdep
2023-01-11T21:01:52.1507150Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1507197Z     {
2023-01-11T21:01:52.1507271Z         #pragma GCC ivdep
2023-01-11T21:01:52.1507349Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1507409Z         {
2023-01-11T21:01:52.1507468Z             {
2023-01-11T21:01:52.1507528Z                 {
2023-01-11T21:01:52.1507625Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1507703Z                     auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1507811Z                     auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1507930Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1508017Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1508076Z                 }
2023-01-11T21:01:52.1508137Z             }
2023-01-11T21:01:52.1508196Z         }
2023-01-11T21:01:52.1508269Z     }
2023-01-11T21:01:52.1508327Z }
2023-01-11T21:01:52.1508400Z ''')
2023-01-11T21:01:52.1508405Z 
2023-01-11T21:01:52.1508410Z 
2023-01-11T21:01:52.1508495Z async_compile.wait(globals())
2023-01-11T21:01:52.1508562Z del async_compile
2023-01-11T21:01:52.1508567Z 
2023-01-11T21:01:52.1508633Z def call(args):
2023-01-11T21:01:52.1508705Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1508761Z     args.clear()
2023-01-11T21:01:52.1508967Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1509129Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1509194Z     del arg0_1
2023-01-11T21:01:52.1509259Z     del arg1_1
2023-01-11T21:01:52.1509327Z     return (buf0, )
2023-01-11T21:01:52.1509332Z 
2023-01-11T21:01:52.1509336Z 
2023-01-11T21:01:52.1509407Z if __name__ == "__main__":
2023-01-11T21:01:52.1509517Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1509627Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1509825Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1510024Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1510134Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1510140Z 
2023-01-11T21:01:52.1510205Z ok (1.524s)
2023-01-11T21:01:52.1510666Z   test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1510792Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1511048Z [2023-01-11 21:01:10,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 535
2023-01-11T21:01:52.1511307Z [2023-01-11 21:01:12,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 535
2023-01-11T21:01:52.1511313Z 
2023-01-11T21:01:52.1511403Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1511459Z import torch
2023-01-11T21:01:52.1511528Z import random
2023-01-11T21:01:52.1511638Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1511754Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1511759Z 
2023-01-11T21:01:52.1511835Z aten = torch.ops.aten
2023-01-11T21:01:52.1511963Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1512052Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1512057Z 
2023-01-11T21:01:52.1512061Z 
2023-01-11T21:01:52.1512179Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1512380Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1512497Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1512599Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1512695Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1512754Z {
2023-01-11T21:01:52.1512828Z     #pragma GCC ivdep
2023-01-11T21:01:52.1512988Z     for(long i0=0; i0<100; i0+=1)
2023-01-11T21:01:52.1513039Z     {
2023-01-11T21:01:52.1513099Z         {
2023-01-11T21:01:52.1513158Z             {
2023-01-11T21:01:52.1513243Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1513324Z                 auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1513428Z                 auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1513535Z                 auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1513614Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1513673Z             }
2023-01-11T21:01:52.1513731Z         }
2023-01-11T21:01:52.1513817Z     }
2023-01-11T21:01:52.1513877Z }
2023-01-11T21:01:52.1513951Z ''')
2023-01-11T21:01:52.1513956Z 
2023-01-11T21:01:52.1513961Z 
2023-01-11T21:01:52.1514034Z async_compile.wait(globals())
2023-01-11T21:01:52.1514104Z del async_compile
2023-01-11T21:01:52.1514109Z 
2023-01-11T21:01:52.1514177Z def call(args):
2023-01-11T21:01:52.1514251Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1514319Z     args.clear()
2023-01-11T21:01:52.1514517Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1514676Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1514740Z     del arg0_1
2023-01-11T21:01:52.1514792Z     del arg1_1
2023-01-11T21:01:52.1514862Z     return (buf0, )
2023-01-11T21:01:52.1514866Z 
2023-01-11T21:01:52.1514871Z 
2023-01-11T21:01:52.1514943Z if __name__ == "__main__":
2023-01-11T21:01:52.1515053Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1515174Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1515371Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1515560Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1515659Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1515676Z 
2023-01-11T21:01:52.1515728Z ok (1.514s)
2023-01-11T21:01:52.1516184Z   test_cpu_double_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1516309Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1516568Z [2023-01-11 21:01:12,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 536
2023-01-11T21:01:52.1516825Z [2023-01-11 21:01:13,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 536
2023-01-11T21:01:52.1516830Z 
2023-01-11T21:01:52.1516920Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1516984Z import torch
2023-01-11T21:01:52.1517085Z import random
2023-01-11T21:01:52.1517195Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1517299Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1517305Z 
2023-01-11T21:01:52.1517378Z aten = torch.ops.aten
2023-01-11T21:01:52.1517507Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1517595Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1517602Z 
2023-01-11T21:01:52.1517607Z 
2023-01-11T21:01:52.1517734Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1517935Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1518055Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1518156Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1518242Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1518300Z {
2023-01-11T21:01:52.1518373Z     #pragma GCC ivdep
2023-01-11T21:01:52.1518450Z     for(long i0=0; i0<100; i0+=1)
2023-01-11T21:01:52.1518507Z     {
2023-01-11T21:01:52.1518566Z         {
2023-01-11T21:01:52.1518615Z             {
2023-01-11T21:01:52.1518701Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1518786Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1518891Z                 auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1519008Z                 auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1519088Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1519149Z             }
2023-01-11T21:01:52.1519198Z         }
2023-01-11T21:01:52.1519254Z     }
2023-01-11T21:01:52.1519311Z }
2023-01-11T21:01:52.1519411Z ''')
2023-01-11T21:01:52.1519416Z 
2023-01-11T21:01:52.1519420Z 
2023-01-11T21:01:52.1519507Z async_compile.wait(globals())
2023-01-11T21:01:52.1519576Z del async_compile
2023-01-11T21:01:52.1519581Z 
2023-01-11T21:01:52.1519649Z def call(args):
2023-01-11T21:01:52.1519720Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1519778Z     args.clear()
2023-01-11T21:01:52.1519975Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1520133Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1520198Z     del arg0_1
2023-01-11T21:01:52.1520259Z     del arg1_1
2023-01-11T21:01:52.1520328Z     return (buf0, )
2023-01-11T21:01:52.1520335Z 
2023-01-11T21:01:52.1520339Z 
2023-01-11T21:01:52.1520407Z if __name__ == "__main__":
2023-01-11T21:01:52.1520507Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1520626Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1520822Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1521017Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1521127Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1521133Z 
2023-01-11T21:01:52.1521194Z ok (1.520s)
2023-01-11T21:01:52.1521649Z   test_cpu_double_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1521776Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1522029Z [2023-01-11 21:01:13,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 537
2023-01-11T21:01:52.1522280Z [2023-01-11 21:01:15,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 537
2023-01-11T21:01:52.1522294Z 
2023-01-11T21:01:52.1522373Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1522439Z import torch
2023-01-11T21:01:52.1522505Z import random
2023-01-11T21:01:52.1522615Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1522732Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1522737Z 
2023-01-11T21:01:52.1522812Z aten = torch.ops.aten
2023-01-11T21:01:52.1522940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1523016Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1523020Z 
2023-01-11T21:01:52.1523037Z 
2023-01-11T21:01:52.1523156Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1523477Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1523644Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1523751Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1523849Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1523907Z {
2023-01-11T21:01:52.1523981Z     #pragma GCC ivdep
2023-01-11T21:01:52.1524047Z     for(long i0=0; i0<100; i0+=1)
2023-01-11T21:01:52.1524106Z     {
2023-01-11T21:01:52.1524165Z         {
2023-01-11T21:01:52.1524226Z             {
2023-01-11T21:01:52.1524311Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1524396Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1524470Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1524550Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1524657Z             }
2023-01-11T21:01:52.1524712Z         }
2023-01-11T21:01:52.1524769Z     }
2023-01-11T21:01:52.1524826Z }
2023-01-11T21:01:52.1524909Z ''')
2023-01-11T21:01:52.1524914Z 
2023-01-11T21:01:52.1524918Z 
2023-01-11T21:01:52.1525026Z async_compile.wait(globals())
2023-01-11T21:01:52.1525100Z del async_compile
2023-01-11T21:01:52.1525106Z 
2023-01-11T21:01:52.1525172Z def call(args):
2023-01-11T21:01:52.1525243Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1525311Z     args.clear()
2023-01-11T21:01:52.1525508Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1525669Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1525731Z     del arg0_1
2023-01-11T21:01:52.1525783Z     del arg1_1
2023-01-11T21:01:52.1525850Z     return (buf0, )
2023-01-11T21:01:52.1525855Z 
2023-01-11T21:01:52.1525859Z 
2023-01-11T21:01:52.1525933Z if __name__ == "__main__":
2023-01-11T21:01:52.1526046Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1526165Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1526359Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1526554Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1526653Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1526669Z 
2023-01-11T21:01:52.1526721Z ok (1.541s)
2023-01-11T21:01:52.1527168Z   test_cpu_double_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1527288Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1527543Z [2023-01-11 21:01:15,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 538
2023-01-11T21:01:52.1527805Z [2023-01-11 21:01:16,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 538
2023-01-11T21:01:52.1527810Z 
2023-01-11T21:01:52.1527898Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1527965Z import torch
2023-01-11T21:01:52.1528030Z import random
2023-01-11T21:01:52.1528141Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1528247Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1528252Z 
2023-01-11T21:01:52.1528326Z aten = torch.ops.aten
2023-01-11T21:01:52.1528457Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1528546Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1528551Z 
2023-01-11T21:01:52.1528555Z 
2023-01-11T21:01:52.1528681Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1528880Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1528998Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1529094Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1529183Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1529242Z {
2023-01-11T21:01:52.1529315Z     #pragma GCC ivdep
2023-01-11T21:01:52.1529392Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1529449Z     {
2023-01-11T21:01:52.1529523Z         #pragma GCC ivdep
2023-01-11T21:01:52.1529601Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1529651Z         {
2023-01-11T21:01:52.1529713Z             {
2023-01-11T21:01:52.1529774Z                 {
2023-01-11T21:01:52.1529870Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1529960Z                     auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1530064Z                     auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1530170Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1530262Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1530324Z                 }
2023-01-11T21:01:52.1530384Z             }
2023-01-11T21:01:52.1530470Z         }
2023-01-11T21:01:52.1530529Z     }
2023-01-11T21:01:52.1530587Z }
2023-01-11T21:01:52.1530651Z ''')
2023-01-11T21:01:52.1530656Z 
2023-01-11T21:01:52.1530670Z 
2023-01-11T21:01:52.1530745Z async_compile.wait(globals())
2023-01-11T21:01:52.1530814Z del async_compile
2023-01-11T21:01:52.1530818Z 
2023-01-11T21:01:52.1530885Z def call(args):
2023-01-11T21:01:52.1530957Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1531025Z     args.clear()
2023-01-11T21:01:52.1531219Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1531375Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1531429Z     del arg0_1
2023-01-11T21:01:52.1531493Z     del arg1_1
2023-01-11T21:01:52.1531561Z     return (buf0, )
2023-01-11T21:01:52.1531566Z 
2023-01-11T21:01:52.1531570Z 
2023-01-11T21:01:52.1531643Z if __name__ == "__main__":
2023-01-11T21:01:52.1531753Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1531874Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1532070Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1532247Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1532357Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1532362Z 
2023-01-11T21:01:52.1532425Z ok (1.535s)
2023-01-11T21:01:52.1532882Z   test_cpu_double_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1533009Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1533266Z [2023-01-11 21:01:16,943] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 539
2023-01-11T21:01:52.1533525Z [2023-01-11 21:01:18,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 539
2023-01-11T21:01:52.1533531Z 
2023-01-11T21:01:52.1533622Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1533688Z import torch
2023-01-11T21:01:52.1533754Z import random
2023-01-11T21:01:52.1533854Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1533969Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1533974Z 
2023-01-11T21:01:52.1534049Z aten = torch.ops.aten
2023-01-11T21:01:52.1534178Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1534268Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1534273Z 
2023-01-11T21:01:52.1534278Z 
2023-01-11T21:01:52.1534405Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1534606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1534724Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1534814Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1534912Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1534969Z {
2023-01-11T21:01:52.1535040Z     #pragma GCC ivdep
2023-01-11T21:01:52.1535116Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1535174Z     {
2023-01-11T21:01:52.1535248Z         #pragma GCC ivdep
2023-01-11T21:01:52.1535315Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1535374Z         {
2023-01-11T21:01:52.1535434Z             {
2023-01-11T21:01:52.1535495Z                 {
2023-01-11T21:01:52.1535591Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1535718Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1535811Z                     auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1535935Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1536026Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1536087Z                 }
2023-01-11T21:01:52.1536148Z             }
2023-01-11T21:01:52.1536205Z         }
2023-01-11T21:01:52.1536264Z     }
2023-01-11T21:01:52.1536309Z }
2023-01-11T21:01:52.1536383Z ''')
2023-01-11T21:01:52.1536388Z 
2023-01-11T21:01:52.1536392Z 
2023-01-11T21:01:52.1536478Z async_compile.wait(globals())
2023-01-11T21:01:52.1536547Z del async_compile
2023-01-11T21:01:52.1536552Z 
2023-01-11T21:01:52.1536621Z def call(args):
2023-01-11T21:01:52.1536693Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1536761Z     args.clear()
2023-01-11T21:01:52.1536956Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1537107Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1537171Z     del arg0_1
2023-01-11T21:01:52.1537235Z     del arg1_1
2023-01-11T21:01:52.1537305Z     return (buf0, )
2023-01-11T21:01:52.1537310Z 
2023-01-11T21:01:52.1537314Z 
2023-01-11T21:01:52.1537387Z if __name__ == "__main__":
2023-01-11T21:01:52.1537496Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1537617Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1537802Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1537998Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1538109Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1538114Z 
2023-01-11T21:01:52.1538177Z ok (1.533s)
2023-01-11T21:01:52.1538642Z   test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1538767Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1539023Z [2023-01-11 21:01:18,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 540
2023-01-11T21:01:52.1539278Z [2023-01-11 21:01:19,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 540
2023-01-11T21:01:52.1539283Z 
2023-01-11T21:01:52.1539373Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1539440Z import torch
2023-01-11T21:01:52.1539495Z import random
2023-01-11T21:01:52.1539606Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1539721Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1539728Z 
2023-01-11T21:01:52.1539803Z aten = torch.ops.aten
2023-01-11T21:01:52.1539932Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1540019Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1540024Z 
2023-01-11T21:01:52.1540028Z 
2023-01-11T21:01:52.1540156Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1540354Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1540461Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2023-01-11T21:01:52.1540561Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1540656Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1540712Z {
2023-01-11T21:01:52.1540785Z     #pragma GCC ivdep
2023-01-11T21:01:52.1540864Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1540923Z     {
2023-01-11T21:01:52.1540986Z         #pragma GCC ivdep
2023-01-11T21:01:52.1541091Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1541151Z         {
2023-01-11T21:01:52.1541211Z             {
2023-01-11T21:01:52.1541272Z                 {
2023-01-11T21:01:52.1541369Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1541480Z                     auto tmp1 = in_ptr1[i0 + (10*i1)];
2023-01-11T21:01:52.1541589Z                     auto tmp2 = static_cast<double>(tmp1);
2023-01-11T21:01:52.1541677Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1541765Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1541825Z                 }
2023-01-11T21:01:52.1541884Z             }
2023-01-11T21:01:52.1541941Z         }
2023-01-11T21:01:52.1541988Z     }
2023-01-11T21:01:52.1542047Z }
2023-01-11T21:01:52.1542121Z ''')
2023-01-11T21:01:52.1542126Z 
2023-01-11T21:01:52.1542131Z 
2023-01-11T21:01:52.1542216Z async_compile.wait(globals())
2023-01-11T21:01:52.1542285Z del async_compile
2023-01-11T21:01:52.1542290Z 
2023-01-11T21:01:52.1542359Z def call(args):
2023-01-11T21:01:52.1542432Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1542500Z     args.clear()
2023-01-11T21:01:52.1542685Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1542842Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1542907Z     del arg0_1
2023-01-11T21:01:52.1542968Z     del arg1_1
2023-01-11T21:01:52.1543038Z     return (buf0, )
2023-01-11T21:01:52.1543043Z 
2023-01-11T21:01:52.1543047Z 
2023-01-11T21:01:52.1543118Z if __name__ == "__main__":
2023-01-11T21:01:52.1543228Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1543337Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1543532Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1543726Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1543837Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1543842Z 
2023-01-11T21:01:52.1543903Z ok (1.530s)
2023-01-11T21:01:52.1544360Z   test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1544482Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1544734Z [2023-01-11 21:01:20,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 541
2023-01-11T21:01:52.1544996Z [2023-01-11 21:01:21,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 541
2023-01-11T21:01:52.1545001Z 
2023-01-11T21:01:52.1545092Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1545149Z import torch
2023-01-11T21:01:52.1545214Z import random
2023-01-11T21:01:52.1545323Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1545438Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1545445Z 
2023-01-11T21:01:52.1545519Z aten = torch.ops.aten
2023-01-11T21:01:52.1545648Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1545735Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1545740Z 
2023-01-11T21:01:52.1545744Z 
2023-01-11T21:01:52.1545872Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1546061Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1546171Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1546273Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1546368Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1546455Z {
2023-01-11T21:01:52.1546527Z     #pragma GCC ivdep
2023-01-11T21:01:52.1546604Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1546651Z     {
2023-01-11T21:01:52.1546711Z         {
2023-01-11T21:01:52.1546772Z             {
2023-01-11T21:01:52.1546885Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1546973Z                 auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:52.1547076Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.1547159Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1547227Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1547286Z             }
2023-01-11T21:01:52.1547344Z         }
2023-01-11T21:01:52.1547402Z     }
2023-01-11T21:01:52.1547459Z }
2023-01-11T21:01:52.1547535Z ''')
2023-01-11T21:01:52.1547540Z 
2023-01-11T21:01:52.1547544Z 
2023-01-11T21:01:52.1547629Z async_compile.wait(globals())
2023-01-11T21:01:52.1547687Z del async_compile
2023-01-11T21:01:52.1547692Z 
2023-01-11T21:01:52.1547758Z def call(args):
2023-01-11T21:01:52.1547833Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1547899Z     args.clear()
2023-01-11T21:01:52.1548090Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1548248Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1548312Z     del arg0_1
2023-01-11T21:01:52.1548364Z     del arg1_1
2023-01-11T21:01:52.1548433Z     return (buf0, )
2023-01-11T21:01:52.1548438Z 
2023-01-11T21:01:52.1548442Z 
2023-01-11T21:01:52.1548514Z if __name__ == "__main__":
2023-01-11T21:01:52.1548621Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1548741Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1548928Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1549118Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1549227Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1549234Z 
2023-01-11T21:01:52.1549286Z ok (1.509s)
2023-01-11T21:01:52.1549743Z   test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1549869Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1550123Z [2023-01-11 21:01:21,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 542
2023-01-11T21:01:52.1550381Z [2023-01-11 21:01:23,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 542
2023-01-11T21:01:52.1550386Z 
2023-01-11T21:01:52.1550478Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1550542Z import torch
2023-01-11T21:01:52.1550613Z import random
2023-01-11T21:01:52.1550726Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1550830Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1550836Z 
2023-01-11T21:01:52.1550914Z aten = torch.ops.aten
2023-01-11T21:01:52.1551043Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1551129Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1551134Z 
2023-01-11T21:01:52.1551138Z 
2023-01-11T21:01:52.1551268Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1551469Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1551583Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1551685Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1551771Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1551830Z {
2023-01-11T21:01:52.1551902Z     #pragma GCC ivdep
2023-01-11T21:01:52.1552014Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1552072Z     {
2023-01-11T21:01:52.1552148Z         #pragma GCC ivdep
2023-01-11T21:01:52.1552226Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1552275Z         {
2023-01-11T21:01:52.1552363Z             {
2023-01-11T21:01:52.1552426Z                 {
2023-01-11T21:01:52.1552515Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1552603Z                     auto tmp2 = in_ptr1[i0];
2023-01-11T21:01:52.1552707Z                     auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.1552783Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1552940Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1553006Z                 }
2023-01-11T21:01:52.1553065Z             }
2023-01-11T21:01:52.1553125Z         }
2023-01-11T21:01:52.1553184Z     }
2023-01-11T21:01:52.1553241Z }
2023-01-11T21:01:52.1553309Z ''')
2023-01-11T21:01:52.1553313Z 
2023-01-11T21:01:52.1553331Z 
2023-01-11T21:01:52.1553406Z async_compile.wait(globals())
2023-01-11T21:01:52.1553475Z del async_compile
2023-01-11T21:01:52.1553480Z 
2023-01-11T21:01:52.1553548Z def call(args):
2023-01-11T21:01:52.1553622Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1553692Z     args.clear()
2023-01-11T21:01:52.1553897Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1554057Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1554111Z     del arg0_1
2023-01-11T21:01:52.1554174Z     del arg1_1
2023-01-11T21:01:52.1554243Z     return (buf0, )
2023-01-11T21:01:52.1554248Z 
2023-01-11T21:01:52.1554252Z 
2023-01-11T21:01:52.1554324Z if __name__ == "__main__":
2023-01-11T21:01:52.1554435Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1554553Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1554744Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1554939Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1555052Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1555058Z 
2023-01-11T21:01:52.1555124Z ok (1.538s)
2023-01-11T21:01:52.1555578Z   test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1555702Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1555954Z [2023-01-11 21:01:23,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 543
2023-01-11T21:01:52.1556213Z [2023-01-11 21:01:24,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 543
2023-01-11T21:01:52.1556221Z 
2023-01-11T21:01:52.1556311Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1556377Z import torch
2023-01-11T21:01:52.1556444Z import random
2023-01-11T21:01:52.1556546Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1556661Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1556667Z 
2023-01-11T21:01:52.1556739Z aten = torch.ops.aten
2023-01-11T21:01:52.1556868Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1556958Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1556963Z 
2023-01-11T21:01:52.1556967Z 
2023-01-11T21:01:52.1557096Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1557298Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1557411Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1557502Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1557628Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1557687Z {
2023-01-11T21:01:52.1557759Z     #pragma GCC ivdep
2023-01-11T21:01:52.1557838Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1557930Z     {
2023-01-11T21:01:52.1557992Z         {
2023-01-11T21:01:52.1558042Z             {
2023-01-11T21:01:52.1558126Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1558207Z                 auto tmp2 = in_ptr1[0];
2023-01-11T21:01:52.1558307Z                 auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.1558392Z                 auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1558469Z                 out_ptr0[i0] = tmp3;
2023-01-11T21:01:52.1558519Z             }
2023-01-11T21:01:52.1558579Z         }
2023-01-11T21:01:52.1558638Z     }
2023-01-11T21:01:52.1558692Z }
2023-01-11T21:01:52.1558768Z ''')
2023-01-11T21:01:52.1558773Z 
2023-01-11T21:01:52.1558777Z 
2023-01-11T21:01:52.1558862Z async_compile.wait(globals())
2023-01-11T21:01:52.1558933Z del async_compile
2023-01-11T21:01:52.1558938Z 
2023-01-11T21:01:52.1559005Z def call(args):
2023-01-11T21:01:52.1559064Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1559131Z     args.clear()
2023-01-11T21:01:52.1559325Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1559484Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1559549Z     del arg0_1
2023-01-11T21:01:52.1559611Z     del arg1_1
2023-01-11T21:01:52.1559679Z     return (buf0, )
2023-01-11T21:01:52.1559684Z 
2023-01-11T21:01:52.1559688Z 
2023-01-11T21:01:52.1559749Z if __name__ == "__main__":
2023-01-11T21:01:52.1559859Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1559976Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1560162Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1560349Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1560459Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1560464Z 
2023-01-11T21:01:52.1560528Z ok (1.525s)
2023-01-11T21:01:52.1560983Z   test_cpu_int_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1561108Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1561350Z [2023-01-11 21:01:24,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 544
2023-01-11T21:01:52.1561610Z [2023-01-11 21:01:26,081] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 544
2023-01-11T21:01:52.1561617Z 
2023-01-11T21:01:52.1561708Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1561773Z import torch
2023-01-11T21:01:52.1561840Z import random
2023-01-11T21:01:52.1561950Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1562070Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1562075Z 
2023-01-11T21:01:52.1562149Z aten = torch.ops.aten
2023-01-11T21:01:52.1562269Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1562355Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1562360Z 
2023-01-11T21:01:52.1562364Z 
2023-01-11T21:01:52.1562493Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1562691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1562803Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1562904Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1563030Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1563086Z {
2023-01-11T21:01:52.1563148Z     #pragma GCC ivdep
2023-01-11T21:01:52.1563225Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1563284Z     {
2023-01-11T21:01:52.1563531Z         #pragma GCC ivdep
2023-01-11T21:01:52.1563636Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1563695Z         {
2023-01-11T21:01:52.1563745Z             {
2023-01-11T21:01:52.1563807Z                 {
2023-01-11T21:01:52.1563896Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1563994Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1564100Z                     auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.1564189Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1564280Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1564342Z                 }
2023-01-11T21:01:52.1564391Z             }
2023-01-11T21:01:52.1564451Z         }
2023-01-11T21:01:52.1564514Z     }
2023-01-11T21:01:52.1564570Z }
2023-01-11T21:01:52.1564650Z ''')
2023-01-11T21:01:52.1564655Z 
2023-01-11T21:01:52.1564659Z 
2023-01-11T21:01:52.1564745Z async_compile.wait(globals())
2023-01-11T21:01:52.1564802Z del async_compile
2023-01-11T21:01:52.1564820Z 
2023-01-11T21:01:52.1564875Z def call(args):
2023-01-11T21:01:52.1564945Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1565012Z     args.clear()
2023-01-11T21:01:52.1565208Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1565365Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1565428Z     del arg0_1
2023-01-11T21:01:52.1565492Z     del arg1_1
2023-01-11T21:01:52.1565548Z     return (buf0, )
2023-01-11T21:01:52.1565554Z 
2023-01-11T21:01:52.1565558Z 
2023-01-11T21:01:52.1565630Z if __name__ == "__main__":
2023-01-11T21:01:52.1565739Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1565857Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1566044Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1566241Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1566355Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1566360Z 
2023-01-11T21:01:52.1566422Z ok (1.528s)
2023-01-11T21:01:52.1566863Z   test_cpu_int_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1566984Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1567238Z [2023-01-11 21:01:26,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 545
2023-01-11T21:01:52.1567499Z [2023-01-11 21:01:27,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 545
2023-01-11T21:01:52.1567504Z 
2023-01-11T21:01:52.1567597Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1567663Z import torch
2023-01-11T21:01:52.1567729Z import random
2023-01-11T21:01:52.1567838Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1567954Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1567958Z 
2023-01-11T21:01:52.1568022Z aten = torch.ops.aten
2023-01-11T21:01:52.1568152Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1568241Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1568246Z 
2023-01-11T21:01:52.1568250Z 
2023-01-11T21:01:52.1568379Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1568577Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1568732Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1568834Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1568932Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1569042Z {
2023-01-11T21:01:52.1569119Z     #pragma GCC ivdep
2023-01-11T21:01:52.1569199Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1569258Z     {
2023-01-11T21:01:52.1569334Z         #pragma GCC ivdep
2023-01-11T21:01:52.1569412Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1569471Z         {
2023-01-11T21:01:52.1569520Z             {
2023-01-11T21:01:52.1569581Z                 {
2023-01-11T21:01:52.1569669Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1569766Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1569872Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1569960Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1570040Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1570103Z                 }
2023-01-11T21:01:52.1570163Z             }
2023-01-11T21:01:52.1570221Z         }
2023-01-11T21:01:52.1570279Z     }
2023-01-11T21:01:52.1570336Z }
2023-01-11T21:01:52.1570415Z ''')
2023-01-11T21:01:52.1570420Z 
2023-01-11T21:01:52.1570425Z 
2023-01-11T21:01:52.1570499Z async_compile.wait(globals())
2023-01-11T21:01:52.1570568Z del async_compile
2023-01-11T21:01:52.1570573Z 
2023-01-11T21:01:52.1570639Z def call(args):
2023-01-11T21:01:52.1570711Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1570778Z     args.clear()
2023-01-11T21:01:52.1570977Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1571134Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1571198Z     del arg0_1
2023-01-11T21:01:52.1571251Z     del arg1_1
2023-01-11T21:01:52.1571315Z     return (buf0, )
2023-01-11T21:01:52.1571322Z 
2023-01-11T21:01:52.1571326Z 
2023-01-11T21:01:52.1571402Z if __name__ == "__main__":
2023-01-11T21:01:52.1571508Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1571625Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1571815Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1572008Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1572118Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1572122Z 
2023-01-11T21:01:52.1572174Z ok (1.530s)
2023-01-11T21:01:52.1572623Z   test_cpu_int_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1572748Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1573000Z [2023-01-11 21:01:27,633] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 546
2023-01-11T21:01:52.1573263Z [2023-01-11 21:01:29,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 546
2023-01-11T21:01:52.1573268Z 
2023-01-11T21:01:52.1573359Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1573426Z import torch
2023-01-11T21:01:52.1573492Z import random
2023-01-11T21:01:52.1573601Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1573706Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1573711Z 
2023-01-11T21:01:52.1573785Z aten = torch.ops.aten
2023-01-11T21:01:52.1573912Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1574000Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1574005Z 
2023-01-11T21:01:52.1574036Z 
2023-01-11T21:01:52.1574168Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1574366Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1574514Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1574615Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1574696Z                        int* __restrict__ out_ptr0)
2023-01-11T21:01:52.1574754Z {
2023-01-11T21:01:52.1574826Z     #pragma GCC ivdep
2023-01-11T21:01:52.1574905Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1574964Z     {
2023-01-11T21:01:52.1575026Z         {
2023-01-11T21:01:52.1575075Z             {
2023-01-11T21:01:52.1575161Z                 auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1575245Z                 auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1575325Z                 auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1575404Z                 out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1575464Z             }
2023-01-11T21:01:52.1575567Z         }
2023-01-11T21:01:52.1575615Z     }
2023-01-11T21:01:52.1575672Z }
2023-01-11T21:01:52.1575747Z ''')
2023-01-11T21:01:52.1575753Z 
2023-01-11T21:01:52.1575757Z 
2023-01-11T21:01:52.1575842Z async_compile.wait(globals())
2023-01-11T21:01:52.1575913Z del async_compile
2023-01-11T21:01:52.1575918Z 
2023-01-11T21:01:52.1575987Z def call(args):
2023-01-11T21:01:52.1576059Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1576115Z     args.clear()
2023-01-11T21:01:52.1576299Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1576459Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1576524Z     del arg0_1
2023-01-11T21:01:52.1576588Z     del arg1_1
2023-01-11T21:01:52.1576654Z     return (buf0, )
2023-01-11T21:01:52.1576659Z 
2023-01-11T21:01:52.1576663Z 
2023-01-11T21:01:52.1576735Z if __name__ == "__main__":
2023-01-11T21:01:52.1576846Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1576955Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1577140Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1577326Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1577436Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1577441Z 
2023-01-11T21:01:52.1577504Z ok (1.513s)
2023-01-11T21:01:52.1577955Z   test_cpu_int_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1578079Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1578333Z [2023-01-11 21:01:29,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 547
2023-01-11T21:01:52.1578594Z [2023-01-11 21:01:30,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 547
2023-01-11T21:01:52.1578602Z 
2023-01-11T21:01:52.1578692Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1578747Z import torch
2023-01-11T21:01:52.1578813Z import random
2023-01-11T21:01:52.1578926Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1579043Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1579048Z 
2023-01-11T21:01:52.1579122Z aten = torch.ops.aten
2023-01-11T21:01:52.1579252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1579338Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1579344Z 
2023-01-11T21:01:52.1579348Z 
2023-01-11T21:01:52.1579465Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1579666Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1579809Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1579912Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1580036Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1580096Z {
2023-01-11T21:01:52.1580171Z     #pragma GCC ivdep
2023-01-11T21:01:52.1580247Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1580294Z     {
2023-01-11T21:01:52.1580367Z         #pragma GCC ivdep
2023-01-11T21:01:52.1580445Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1580505Z         {
2023-01-11T21:01:52.1580563Z             {
2023-01-11T21:01:52.1580624Z                 {
2023-01-11T21:01:52.1580702Z                     auto tmp0 = in_ptr0[i1];
2023-01-11T21:01:52.1580803Z                     auto tmp2 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1580908Z                     auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.1580994Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1581086Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1581149Z                 }
2023-01-11T21:01:52.1581210Z             }
2023-01-11T21:01:52.1581259Z         }
2023-01-11T21:01:52.1581319Z     }
2023-01-11T21:01:52.1581375Z }
2023-01-11T21:01:52.1581452Z ''')
2023-01-11T21:01:52.1581457Z 
2023-01-11T21:01:52.1581462Z 
2023-01-11T21:01:52.1581549Z async_compile.wait(globals())
2023-01-11T21:01:52.1581619Z del async_compile
2023-01-11T21:01:52.1581625Z 
2023-01-11T21:01:52.1581692Z def call(args):
2023-01-11T21:01:52.1581753Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1581819Z     args.clear()
2023-01-11T21:01:52.1582015Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1582173Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1582240Z     del arg0_1
2023-01-11T21:01:52.1582305Z     del arg1_1
2023-01-11T21:01:52.1582376Z     return (buf0, )
2023-01-11T21:01:52.1582381Z 
2023-01-11T21:01:52.1582386Z 
2023-01-11T21:01:52.1582458Z if __name__ == "__main__":
2023-01-11T21:01:52.1582557Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1582679Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1582865Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1583062Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1583172Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1583177Z 
2023-01-11T21:01:52.1583241Z ok (1.536s)
2023-01-11T21:01:52.1583699Z   test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1583825Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1584080Z [2023-01-11 21:01:30,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 548
2023-01-11T21:01:52.1584327Z [2023-01-11 21:01:32,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 548
2023-01-11T21:01:52.1584343Z 
2023-01-11T21:01:52.1584423Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1584489Z import torch
2023-01-11T21:01:52.1584556Z import random
2023-01-11T21:01:52.1584667Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1584781Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1584786Z 
2023-01-11T21:01:52.1584857Z aten = torch.ops.aten
2023-01-11T21:01:52.1584986Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1585062Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1585096Z 
2023-01-11T21:01:52.1585113Z 
2023-01-11T21:01:52.1585235Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1585434Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1585576Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2023-01-11T21:01:52.1585681Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1585776Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1585833Z {
2023-01-11T21:01:52.1585905Z     #pragma GCC ivdep
2023-01-11T21:01:52.1585972Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1586030Z     {
2023-01-11T21:01:52.1586105Z         #pragma GCC ivdep
2023-01-11T21:01:52.1586185Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1586246Z         {
2023-01-11T21:01:52.1586309Z             {
2023-01-11T21:01:52.1586360Z                 {
2023-01-11T21:01:52.1586448Z                     auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1586546Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1586650Z                     auto tmp1 = static_cast<float>(tmp0);
2023-01-11T21:01:52.1586736Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1586827Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1586889Z                 }
2023-01-11T21:01:52.1586938Z             }
2023-01-11T21:01:52.1586998Z         }
2023-01-11T21:01:52.1587058Z     }
2023-01-11T21:01:52.1587116Z }
2023-01-11T21:01:52.1587191Z ''')
2023-01-11T21:01:52.1587197Z 
2023-01-11T21:01:52.1587201Z 
2023-01-11T21:01:52.1587286Z async_compile.wait(globals())
2023-01-11T21:01:52.1587357Z del async_compile
2023-01-11T21:01:52.1587362Z 
2023-01-11T21:01:52.1587426Z def call(args):
2023-01-11T21:01:52.1587488Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1587552Z     args.clear()
2023-01-11T21:01:52.1587751Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1587907Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1587975Z     del arg0_1
2023-01-11T21:01:52.1588037Z     del arg1_1
2023-01-11T21:01:52.1588104Z     return (buf0, )
2023-01-11T21:01:52.1588109Z 
2023-01-11T21:01:52.1588115Z 
2023-01-11T21:01:52.1588175Z if __name__ == "__main__":
2023-01-11T21:01:52.1588285Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1588401Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1588588Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1588783Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1588894Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1588899Z 
2023-01-11T21:01:52.1588960Z ok (1.524s)
2023-01-11T21:01:52.1589422Z   test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1589549Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1589793Z [2023-01-11 21:01:32,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 549
2023-01-11T21:01:52.1590052Z [2023-01-11 21:01:33,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 549
2023-01-11T21:01:52.1590057Z 
2023-01-11T21:01:52.1590146Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1590213Z import torch
2023-01-11T21:01:52.1590280Z import random
2023-01-11T21:01:52.1590389Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1590505Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1590544Z 
2023-01-11T21:01:52.1590618Z aten = torch.ops.aten
2023-01-11T21:01:52.1590738Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1590826Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1590831Z 
2023-01-11T21:01:52.1590836Z 
2023-01-11T21:01:52.1590995Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1591198Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1591314Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1591413Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1591509Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1591566Z {
2023-01-11T21:01:52.1591629Z     #pragma GCC ivdep
2023-01-11T21:01:52.1591703Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1591763Z     {
2023-01-11T21:01:52.1591836Z         #pragma GCC ivdep
2023-01-11T21:01:52.1591915Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1591976Z         {
2023-01-11T21:01:52.1592026Z             {
2023-01-11T21:01:52.1592085Z                 {
2023-01-11T21:01:52.1592182Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1592272Z                     auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1592362Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1592452Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1592512Z                 }
2023-01-11T21:01:52.1592561Z             }
2023-01-11T21:01:52.1592620Z         }
2023-01-11T21:01:52.1592676Z     }
2023-01-11T21:01:52.1592735Z }
2023-01-11T21:01:52.1592811Z ''')
2023-01-11T21:01:52.1592815Z 
2023-01-11T21:01:52.1592820Z 
2023-01-11T21:01:52.1592979Z async_compile.wait(globals())
2023-01-11T21:01:52.1593050Z del async_compile
2023-01-11T21:01:52.1593056Z 
2023-01-11T21:01:52.1593111Z def call(args):
2023-01-11T21:01:52.1593182Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1593249Z     args.clear()
2023-01-11T21:01:52.1593452Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1593613Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1593678Z     del arg0_1
2023-01-11T21:01:52.1593743Z     del arg1_1
2023-01-11T21:01:52.1593800Z     return (buf0, )
2023-01-11T21:01:52.1593816Z 
2023-01-11T21:01:52.1593820Z 
2023-01-11T21:01:52.1593882Z if __name__ == "__main__":
2023-01-11T21:01:52.1593990Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1594108Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1594304Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1594496Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1594606Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1594611Z 
2023-01-11T21:01:52.1594675Z ok (1.524s)
2023-01-11T21:01:52.1595137Z   test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1595263Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1595505Z [2023-01-11 21:01:33,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 550
2023-01-11T21:01:52.1595767Z [2023-01-11 21:01:35,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 550
2023-01-11T21:01:52.1595772Z 
2023-01-11T21:01:52.1600957Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1601035Z import torch
2023-01-11T21:01:52.1601104Z import random
2023-01-11T21:01:52.1601220Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1601406Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1601412Z 
2023-01-11T21:01:52.1601487Z aten = torch.ops.aten
2023-01-11T21:01:52.1601644Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1601738Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1601743Z 
2023-01-11T21:01:52.1601747Z 
2023-01-11T21:01:52.1601897Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1602101Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1602219Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1602323Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1602417Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1602475Z {
2023-01-11T21:01:52.1602540Z     #pragma GCC ivdep
2023-01-11T21:01:52.1602617Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1602674Z     {
2023-01-11T21:01:52.1602752Z         #pragma GCC ivdep
2023-01-11T21:01:52.1602831Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1602892Z         {
2023-01-11T21:01:52.1602956Z             {
2023-01-11T21:01:52.1603006Z                 {
2023-01-11T21:01:52.1603111Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1603200Z                     auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1603290Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1603562Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1603648Z                 }
2023-01-11T21:01:52.1603708Z             }
2023-01-11T21:01:52.1603756Z         }
2023-01-11T21:01:52.1603814Z     }
2023-01-11T21:01:52.1603871Z }
2023-01-11T21:01:52.1603951Z ''')
2023-01-11T21:01:52.1603956Z 
2023-01-11T21:01:52.1603961Z 
2023-01-11T21:01:52.1604048Z async_compile.wait(globals())
2023-01-11T21:01:52.1604117Z del async_compile
2023-01-11T21:01:52.1604122Z 
2023-01-11T21:01:52.1604188Z def call(args):
2023-01-11T21:01:52.1604252Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1604322Z     args.clear()
2023-01-11T21:01:52.1604530Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1604694Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1604759Z     del arg0_1
2023-01-11T21:01:52.1604824Z     del arg1_1
2023-01-11T21:01:52.1604892Z     return (buf0, )
2023-01-11T21:01:52.1604897Z 
2023-01-11T21:01:52.1604901Z 
2023-01-11T21:01:52.1604974Z if __name__ == "__main__":
2023-01-11T21:01:52.1605072Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1605192Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1605391Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1605593Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1605707Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1605713Z 
2023-01-11T21:01:52.1605777Z ok (1.542s)
2023-01-11T21:01:52.1606241Z   test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1606368Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1606630Z [2023-01-11 21:01:35,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 551
2023-01-11T21:01:52.1606881Z [2023-01-11 21:01:36,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 551
2023-01-11T21:01:52.1606886Z 
2023-01-11T21:01:52.1606979Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1607105Z import torch
2023-01-11T21:01:52.1607170Z import random
2023-01-11T21:01:52.1607283Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1607399Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1607443Z 
2023-01-11T21:01:52.1607521Z aten = torch.ops.aten
2023-01-11T21:01:52.1607643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1607732Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1607737Z 
2023-01-11T21:01:52.1607741Z 
2023-01-11T21:01:52.1607870Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1608073Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1608189Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1608292Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1608390Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1608448Z {
2023-01-11T21:01:52.1608514Z     #pragma GCC ivdep
2023-01-11T21:01:52.1608593Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1608652Z     {
2023-01-11T21:01:52.1608726Z         #pragma GCC ivdep
2023-01-11T21:01:52.1608802Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1608868Z         {
2023-01-11T21:01:52.1608928Z             {
2023-01-11T21:01:52.1608978Z                 {
2023-01-11T21:01:52.1609075Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1609162Z                     auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1609250Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1609343Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1609407Z                 }
2023-01-11T21:01:52.1609465Z             }
2023-01-11T21:01:52.1609514Z         }
2023-01-11T21:01:52.1609571Z     }
2023-01-11T21:01:52.1609628Z }
2023-01-11T21:01:52.1609703Z ''')
2023-01-11T21:01:52.1609708Z 
2023-01-11T21:01:52.1609713Z 
2023-01-11T21:01:52.1609801Z async_compile.wait(globals())
2023-01-11T21:01:52.1609870Z del async_compile
2023-01-11T21:01:52.1609875Z 
2023-01-11T21:01:52.1609943Z def call(args):
2023-01-11T21:01:52.1610004Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1610072Z     args.clear()
2023-01-11T21:01:52.1610271Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1610429Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1610495Z     del arg0_1
2023-01-11T21:01:52.1610556Z     del arg1_1
2023-01-11T21:01:52.1610625Z     return (buf0, )
2023-01-11T21:01:52.1610630Z 
2023-01-11T21:01:52.1610634Z 
2023-01-11T21:01:52.1610705Z if __name__ == "__main__":
2023-01-11T21:01:52.1610803Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1610921Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1611117Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1611310Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1611420Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1611426Z 
2023-01-11T21:01:52.1611490Z ok (1.533s)
2023-01-11T21:01:52.1611947Z   test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1612070Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1612325Z [2023-01-11 21:01:36,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 552
2023-01-11T21:01:52.1612572Z [2023-01-11 21:01:38,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 552
2023-01-11T21:01:52.1612606Z 
2023-01-11T21:01:52.1612694Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1612759Z import torch
2023-01-11T21:01:52.1612825Z import random
2023-01-11T21:01:52.1612963Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1613082Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1613087Z 
2023-01-11T21:01:52.1613160Z aten = torch.ops.aten
2023-01-11T21:01:52.1613279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1613368Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1613372Z 
2023-01-11T21:01:52.1613377Z 
2023-01-11T21:01:52.1613509Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1613706Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1613823Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1613922Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1614021Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1614080Z {
2023-01-11T21:01:52.1614143Z     #pragma GCC ivdep
2023-01-11T21:01:52.1614220Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1614279Z     {
2023-01-11T21:01:52.1614355Z         #pragma GCC ivdep
2023-01-11T21:01:52.1614432Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1614491Z         {
2023-01-11T21:01:52.1614550Z             {
2023-01-11T21:01:52.1614600Z                 {
2023-01-11T21:01:52.1614697Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1614792Z                     auto tmp1 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1614880Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1614971Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1615034Z                 }
2023-01-11T21:01:52.1615094Z             }
2023-01-11T21:01:52.1615142Z         }
2023-01-11T21:01:52.1615198Z     }
2023-01-11T21:01:52.1615257Z }
2023-01-11T21:01:52.1615333Z ''')
2023-01-11T21:01:52.1615338Z 
2023-01-11T21:01:52.1615343Z 
2023-01-11T21:01:52.1615427Z async_compile.wait(globals())
2023-01-11T21:01:52.1615498Z del async_compile
2023-01-11T21:01:52.1615502Z 
2023-01-11T21:01:52.1615572Z def call(args):
2023-01-11T21:01:52.1615633Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1615700Z     args.clear()
2023-01-11T21:01:52.1615894Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1616051Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1616115Z     del arg0_1
2023-01-11T21:01:52.1616177Z     del arg1_1
2023-01-11T21:01:52.1616245Z     return (buf0, )
2023-01-11T21:01:52.1616250Z 
2023-01-11T21:01:52.1616254Z 
2023-01-11T21:01:52.1616325Z if __name__ == "__main__":
2023-01-11T21:01:52.1616426Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1616548Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1616747Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1616938Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1617051Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1617056Z 
2023-01-11T21:01:52.1617117Z ok (1.545s)
2023-01-11T21:01:52.1617570Z   test_cpu_strided_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1617692Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1617948Z [2023-01-11 21:01:38,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 553
2023-01-11T21:01:52.1618224Z [2023-01-11 21:01:39,869] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 553
2023-01-11T21:01:52.1618230Z 
2023-01-11T21:01:52.1618318Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1618423Z import torch
2023-01-11T21:01:52.1618494Z import random
2023-01-11T21:01:52.1618607Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1618722Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1618727Z 
2023-01-11T21:01:52.1618802Z aten = torch.ops.aten
2023-01-11T21:01:52.1618920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1619008Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1619013Z 
2023-01-11T21:01:52.1619018Z 
2023-01-11T21:01:52.1619150Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1619348Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1619464Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1619567Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1619663Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1619722Z {
2023-01-11T21:01:52.1619786Z     #pragma GCC ivdep
2023-01-11T21:01:52.1619865Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1619922Z     {
2023-01-11T21:01:52.1619994Z         #pragma GCC ivdep
2023-01-11T21:01:52.1620070Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1620130Z         {
2023-01-11T21:01:52.1620189Z             {
2023-01-11T21:01:52.1620239Z                 {
2023-01-11T21:01:52.1620339Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1620435Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1620539Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1620625Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1620717Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1620780Z                 }
2023-01-11T21:01:52.1620829Z             }
2023-01-11T21:01:52.1620888Z         }
2023-01-11T21:01:52.1620946Z     }
2023-01-11T21:01:52.1621001Z }
2023-01-11T21:01:52.1621079Z ''')
2023-01-11T21:01:52.1621084Z 
2023-01-11T21:01:52.1621088Z 
2023-01-11T21:01:52.1621173Z async_compile.wait(globals())
2023-01-11T21:01:52.1621242Z del async_compile
2023-01-11T21:01:52.1621247Z 
2023-01-11T21:01:52.1621302Z def call(args):
2023-01-11T21:01:52.1621374Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1621440Z     args.clear()
2023-01-11T21:01:52.1621637Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1621792Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1621856Z     del arg0_1
2023-01-11T21:01:52.1621917Z     del arg1_1
2023-01-11T21:01:52.1621974Z     return (buf0, )
2023-01-11T21:01:52.1621981Z 
2023-01-11T21:01:52.1621995Z 
2023-01-11T21:01:52.1622057Z if __name__ == "__main__":
2023-01-11T21:01:52.1622167Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1622284Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1622483Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1622675Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1622785Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1622790Z 
2023-01-11T21:01:52.1622851Z ok (1.540s)
2023-01-11T21:01:52.1623303Z   test_cpu_strided_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1623447Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1623705Z [2023-01-11 21:01:39,890] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 554
2023-01-11T21:01:52.1623993Z [2023-01-11 21:01:41,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 554
2023-01-11T21:01:52.1623999Z 
2023-01-11T21:01:52.1624091Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1624156Z import torch
2023-01-11T21:01:52.1624221Z import random
2023-01-11T21:01:52.1624331Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1624449Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1624454Z 
2023-01-11T21:01:52.1624518Z aten = torch.ops.aten
2023-01-11T21:01:52.1624647Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1624736Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1624740Z 
2023-01-11T21:01:52.1624747Z 
2023-01-11T21:01:52.1624876Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1625077Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1625194Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1625291Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1625387Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1625433Z {
2023-01-11T21:01:52.1625505Z     #pragma GCC ivdep
2023-01-11T21:01:52.1625584Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1625639Z     {
2023-01-11T21:01:52.1625714Z         #pragma GCC ivdep
2023-01-11T21:01:52.1625791Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1625852Z         {
2023-01-11T21:01:52.1625902Z             {
2023-01-11T21:01:52.1625962Z                 {
2023-01-11T21:01:52.1626062Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1626149Z                     auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1626253Z                     auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:52.1626342Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1626430Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1626482Z                 }
2023-01-11T21:01:52.1626544Z             }
2023-01-11T21:01:52.1626601Z         }
2023-01-11T21:01:52.1626659Z     }
2023-01-11T21:01:52.1626715Z }
2023-01-11T21:01:52.1626787Z ''')
2023-01-11T21:01:52.1626793Z 
2023-01-11T21:01:52.1626797Z 
2023-01-11T21:01:52.1626883Z async_compile.wait(globals())
2023-01-11T21:01:52.1626942Z del async_compile
2023-01-11T21:01:52.1626946Z 
2023-01-11T21:01:52.1627011Z def call(args):
2023-01-11T21:01:52.1627082Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1627148Z     args.clear()
2023-01-11T21:01:52.1627339Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1627497Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1627563Z     del arg0_1
2023-01-11T21:01:52.1627615Z     del arg1_1
2023-01-11T21:01:52.1627683Z     return (buf0, )
2023-01-11T21:01:52.1627688Z 
2023-01-11T21:01:52.1627692Z 
2023-01-11T21:01:52.1627766Z if __name__ == "__main__":
2023-01-11T21:01:52.1627877Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1627993Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1628189Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1628374Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1628485Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1628490Z 
2023-01-11T21:01:52.1628542Z ok (1.526s)
2023-01-11T21:01:52.1628993Z   test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1629172Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1629430Z [2023-01-11 21:01:41,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 555
2023-01-11T21:01:52.1629688Z [2023-01-11 21:01:42,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 555
2023-01-11T21:01:52.1629694Z 
2023-01-11T21:01:52.1629785Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1629852Z import torch
2023-01-11T21:01:52.1629921Z import random
2023-01-11T21:01:52.1630030Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1630136Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1630150Z 
2023-01-11T21:01:52.1630214Z aten = torch.ops.aten
2023-01-11T21:01:52.1630345Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1630433Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1630438Z 
2023-01-11T21:01:52.1630442Z 
2023-01-11T21:01:52.1630572Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1630767Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1630883Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1630983Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1631068Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1631127Z {
2023-01-11T21:01:52.1631204Z     #pragma GCC ivdep
2023-01-11T21:01:52.1631282Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1631340Z     {
2023-01-11T21:01:52.1631414Z         #pragma GCC ivdep
2023-01-11T21:01:52.1631492Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1631540Z         {
2023-01-11T21:01:52.1631602Z             {
2023-01-11T21:01:52.1631660Z                 {
2023-01-11T21:01:52.1631758Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1631855Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1631945Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1632035Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1632085Z                 }
2023-01-11T21:01:52.1632145Z             }
2023-01-11T21:01:52.1632203Z         }
2023-01-11T21:01:52.1632260Z     }
2023-01-11T21:01:52.1632317Z }
2023-01-11T21:01:52.1632390Z ''')
2023-01-11T21:01:52.1632395Z 
2023-01-11T21:01:52.1632400Z 
2023-01-11T21:01:52.1632485Z async_compile.wait(globals())
2023-01-11T21:01:52.1632544Z del async_compile
2023-01-11T21:01:52.1632548Z 
2023-01-11T21:01:52.1632614Z def call(args):
2023-01-11T21:01:52.1632686Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1632750Z     args.clear()
2023-01-11T21:01:52.1633019Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1633184Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1633247Z     del arg0_1
2023-01-11T21:01:52.1633298Z     del arg1_1
2023-01-11T21:01:52.1633368Z     return (buf0, )
2023-01-11T21:01:52.1633373Z 
2023-01-11T21:01:52.1633377Z 
2023-01-11T21:01:52.1633449Z if __name__ == "__main__":
2023-01-11T21:01:52.1633560Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1633677Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1633876Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1634070Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1634184Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1634189Z 
2023-01-11T21:01:52.1634241Z ok (1.524s)
2023-01-11T21:01:52.1634741Z   test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1634893Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1635148Z [2023-01-11 21:01:42,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 556
2023-01-11T21:01:52.1635408Z [2023-01-11 21:01:44,466] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 556
2023-01-11T21:01:52.1635413Z 
2023-01-11T21:01:52.1635506Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1635573Z import torch
2023-01-11T21:01:52.1635639Z import random
2023-01-11T21:01:52.1635753Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1635862Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1635878Z 
2023-01-11T21:01:52.1635942Z aten = torch.ops.aten
2023-01-11T21:01:52.1636073Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1636163Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1636168Z 
2023-01-11T21:01:52.1636173Z 
2023-01-11T21:01:52.1636302Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1636501Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1636616Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1636714Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1636800Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1636858Z {
2023-01-11T21:01:52.1636932Z     #pragma GCC ivdep
2023-01-11T21:01:52.1637011Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1637068Z     {
2023-01-11T21:01:52.1637142Z         #pragma GCC ivdep
2023-01-11T21:01:52.1637222Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1637272Z         {
2023-01-11T21:01:52.1637332Z             {
2023-01-11T21:01:52.1637393Z                 {
2023-01-11T21:01:52.1637493Z                     auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1637588Z                     auto tmp1 = in_ptr1[i0 + (10*i1)];
2023-01-11T21:01:52.1637676Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1637766Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1637816Z                 }
2023-01-11T21:01:52.1637877Z             }
2023-01-11T21:01:52.1637934Z         }
2023-01-11T21:01:52.1637992Z     }
2023-01-11T21:01:52.1638049Z }
2023-01-11T21:01:52.1638120Z ''')
2023-01-11T21:01:52.1638125Z 
2023-01-11T21:01:52.1638130Z 
2023-01-11T21:01:52.1638215Z async_compile.wait(globals())
2023-01-11T21:01:52.1638273Z del async_compile
2023-01-11T21:01:52.1638277Z 
2023-01-11T21:01:52.1638345Z def call(args):
2023-01-11T21:01:52.1638417Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1638484Z     args.clear()
2023-01-11T21:01:52.1638680Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1638841Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1638905Z     del arg0_1
2023-01-11T21:01:52.1638956Z     del arg1_1
2023-01-11T21:01:52.1639026Z     return (buf0, )
2023-01-11T21:01:52.1639031Z 
2023-01-11T21:01:52.1639035Z 
2023-01-11T21:01:52.1639107Z if __name__ == "__main__":
2023-01-11T21:01:52.1639215Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1639333Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1639528Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1639721Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1639830Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1639863Z 
2023-01-11T21:01:52.1639916Z ok (1.546s)
2023-01-11T21:01:52.1640403Z   test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1640528Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1640784Z [2023-01-11 21:01:44,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 557
2023-01-11T21:01:52.1641043Z [2023-01-11 21:01:44,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 557
2023-01-11T21:01:52.1641048Z 
2023-01-11T21:01:52.1641140Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1641209Z import torch
2023-01-11T21:01:52.1641281Z import random
2023-01-11T21:01:52.1641392Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1641497Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1641512Z 
2023-01-11T21:01:52.1641578Z aten = torch.ops.aten
2023-01-11T21:01:52.1641709Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1641794Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1641800Z 
2023-01-11T21:01:52.1641804Z 
2023-01-11T21:01:52.1641932Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1642130Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1642244Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1642346Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1642431Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1642491Z {
2023-01-11T21:01:52.1642564Z     #pragma GCC ivdep
2023-01-11T21:01:52.1642642Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1642699Z     {
2023-01-11T21:01:52.1642777Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1642837Z         {
2023-01-11T21:01:52.1642974Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1643098Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2023-01-11T21:01:52.1643179Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1643278Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1643337Z         }
2023-01-11T21:01:52.1643583Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1643664Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1643712Z         {
2023-01-11T21:01:52.1643804Z             auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1643884Z             auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1643963Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1644046Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1644106Z         }
2023-01-11T21:01:52.1644164Z     }
2023-01-11T21:01:52.1644209Z }
2023-01-11T21:01:52.1644288Z ''')
2023-01-11T21:01:52.1644293Z 
2023-01-11T21:01:52.1644297Z 
2023-01-11T21:01:52.1644386Z async_compile.wait(globals())
2023-01-11T21:01:52.1644454Z del async_compile
2023-01-11T21:01:52.1644459Z 
2023-01-11T21:01:52.1644525Z def call(args):
2023-01-11T21:01:52.1644598Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1644663Z     args.clear()
2023-01-11T21:01:52.1644861Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1645010Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1645074Z     del arg0_1
2023-01-11T21:01:52.1645136Z     del arg1_1
2023-01-11T21:01:52.1645208Z     return (buf0, )
2023-01-11T21:01:52.1645213Z 
2023-01-11T21:01:52.1645217Z 
2023-01-11T21:01:52.1645288Z if __name__ == "__main__":
2023-01-11T21:01:52.1645458Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1645576Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1645763Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1645983Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1646093Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1646099Z 
2023-01-11T21:01:52.1646163Z ok (0.031s)
2023-01-11T21:01:52.1646624Z   test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1646748Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1647004Z [2023-01-11 21:01:44,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 558
2023-01-11T21:01:52.1647264Z [2023-01-11 21:01:44,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 558
2023-01-11T21:01:52.1647269Z 
2023-01-11T21:01:52.1647357Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1647445Z import torch
2023-01-11T21:01:52.1647501Z import random
2023-01-11T21:01:52.1647610Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1647725Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1647730Z 
2023-01-11T21:01:52.1647807Z aten = torch.ops.aten
2023-01-11T21:01:52.1647937Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1648024Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1648029Z 
2023-01-11T21:01:52.1648033Z 
2023-01-11T21:01:52.1648163Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1648368Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1648473Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1648574Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1648670Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1648729Z {
2023-01-11T21:01:52.1648802Z     #pragma GCC ivdep
2023-01-11T21:01:52.1648878Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1648936Z     {
2023-01-11T21:01:52.1649003Z         for(long i1=0; i1<1; i1+=1)
2023-01-11T21:01:52.1649066Z         {
2023-01-11T21:01:52.1649202Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1649329Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2023-01-11T21:01:52.1649409Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1649506Z             tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2023-01-11T21:01:52.1649569Z         }
2023-01-11T21:01:52.1649643Z         #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1649719Z         for(long i1=8; i1<10; i1+=1)
2023-01-11T21:01:52.1649777Z         {
2023-01-11T21:01:52.1649867Z             auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1649947Z             auto tmp1 = in_ptr1[i1];
2023-01-11T21:01:52.1650024Z             auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1650110Z             out_ptr0[i1 + (10*i0)] = tmp2;
2023-01-11T21:01:52.1650158Z         }
2023-01-11T21:01:52.1650216Z     }
2023-01-11T21:01:52.1650271Z }
2023-01-11T21:01:52.1650343Z ''')
2023-01-11T21:01:52.1650348Z 
2023-01-11T21:01:52.1650352Z 
2023-01-11T21:01:52.1650436Z async_compile.wait(globals())
2023-01-11T21:01:52.1650504Z del async_compile
2023-01-11T21:01:52.1650509Z 
2023-01-11T21:01:52.1650579Z def call(args):
2023-01-11T21:01:52.1650640Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1650709Z     args.clear()
2023-01-11T21:01:52.1650913Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1651099Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1651161Z     del arg0_1
2023-01-11T21:01:52.1651221Z     del arg1_1
2023-01-11T21:01:52.1651315Z     return (buf0, )
2023-01-11T21:01:52.1651321Z 
2023-01-11T21:01:52.1651325Z 
2023-01-11T21:01:52.1651399Z if __name__ == "__main__":
2023-01-11T21:01:52.1651497Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1651616Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1651812Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1652015Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1652126Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1652131Z 
2023-01-11T21:01:52.1652195Z ok (0.025s)
2023-01-11T21:01:52.1652658Z   test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1652783Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1653038Z [2023-01-11 21:01:44,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 559
2023-01-11T21:01:52.1653287Z [2023-01-11 21:01:44,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 559
2023-01-11T21:01:52.1653303Z 
2023-01-11T21:01:52.1653382Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1653448Z import torch
2023-01-11T21:01:52.1653516Z import random
2023-01-11T21:01:52.1653626Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1653744Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1653748Z 
2023-01-11T21:01:52.1653823Z aten = torch.ops.aten
2023-01-11T21:01:52.1653951Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1654030Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1654035Z 
2023-01-11T21:01:52.1654039Z 
2023-01-11T21:01:52.1654166Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1654365Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1654479Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1654579Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1654676Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1654735Z {
2023-01-11T21:01:52.1654803Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.1654862Z     {
2023-01-11T21:01:52.1654990Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1655109Z         auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2023-01-11T21:01:52.1655188Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1655271Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1655328Z     }
2023-01-11T21:01:52.1655418Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1655485Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.1655546Z     {
2023-01-11T21:01:52.1655623Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1655698Z         auto tmp1 = in_ptr1[0];
2023-01-11T21:01:52.1655775Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1655847Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1655894Z     }
2023-01-11T21:01:52.1655950Z }
2023-01-11T21:01:52.1656026Z ''')
2023-01-11T21:01:52.1656032Z 
2023-01-11T21:01:52.1656036Z 
2023-01-11T21:01:52.1656120Z async_compile.wait(globals())
2023-01-11T21:01:52.1656188Z del async_compile
2023-01-11T21:01:52.1656193Z 
2023-01-11T21:01:52.1656259Z def call(args):
2023-01-11T21:01:52.1656360Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1656427Z     args.clear()
2023-01-11T21:01:52.1656615Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1656811Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1656877Z     del arg0_1
2023-01-11T21:01:52.1656938Z     del arg1_1
2023-01-11T21:01:52.1657004Z     return (buf0, )
2023-01-11T21:01:52.1657009Z 
2023-01-11T21:01:52.1657013Z 
2023-01-11T21:01:52.1657083Z if __name__ == "__main__":
2023-01-11T21:01:52.1657195Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1657303Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1657500Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1657687Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1657798Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1657806Z 
2023-01-11T21:01:52.1657870Z ok (0.022s)
2023-01-11T21:01:52.1658333Z   test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1658459Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1658712Z [2023-01-11 21:01:44,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 560
2023-01-11T21:01:52.1658970Z [2023-01-11 21:01:46,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 560
2023-01-11T21:01:52.1658975Z 
2023-01-11T21:01:52.1659065Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1659121Z import torch
2023-01-11T21:01:52.1659189Z import random
2023-01-11T21:01:52.1659301Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1659417Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1659422Z 
2023-01-11T21:01:52.1659497Z aten = torch.ops.aten
2023-01-11T21:01:52.1659627Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1659714Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1659718Z 
2023-01-11T21:01:52.1659723Z 
2023-01-11T21:01:52.1659850Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1660041Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1660158Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1660255Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1660352Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1660411Z {
2023-01-11T21:01:52.1660483Z     #pragma GCC ivdep
2023-01-11T21:01:52.1660565Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1660612Z     {
2023-01-11T21:01:52.1660688Z         #pragma GCC ivdep
2023-01-11T21:01:52.1660765Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1660822Z         {
2023-01-11T21:01:52.1660883Z             {
2023-01-11T21:01:52.1660942Z                 {
2023-01-11T21:01:52.1661029Z                     auto tmp0 = in_ptr0[i0 + (10*i1)];
2023-01-11T21:01:52.1661125Z                     auto tmp1 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1661210Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1661298Z                     out_ptr0[i0 + (10*i1)] = tmp2;
2023-01-11T21:01:52.1661360Z                 }
2023-01-11T21:01:52.1661421Z             }
2023-01-11T21:01:52.1661479Z         }
2023-01-11T21:01:52.1661526Z     }
2023-01-11T21:01:52.1661583Z }
2023-01-11T21:01:52.1661656Z ''')
2023-01-11T21:01:52.1661661Z 
2023-01-11T21:01:52.1661665Z 
2023-01-11T21:01:52.1661750Z async_compile.wait(globals())
2023-01-11T21:01:52.1661881Z del async_compile
2023-01-11T21:01:52.1661886Z 
2023-01-11T21:01:52.1661951Z def call(args):
2023-01-11T21:01:52.1662026Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1662093Z     args.clear()
2023-01-11T21:01:52.1662306Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1662465Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1662528Z     del arg0_1
2023-01-11T21:01:52.1662589Z     del arg1_1
2023-01-11T21:01:52.1662656Z     return (buf0, )
2023-01-11T21:01:52.1662661Z 
2023-01-11T21:01:52.1662665Z 
2023-01-11T21:01:52.1662736Z if __name__ == "__main__":
2023-01-11T21:01:52.1662845Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1662955Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1663152Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1663347Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1663460Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1663465Z 
2023-01-11T21:01:52.1663526Z ok (1.526s)
2023-01-11T21:01:52.1663984Z   test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1664105Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1664357Z [2023-01-11 21:01:46,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 561
2023-01-11T21:01:52.1664616Z [2023-01-11 21:01:47,607] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 561
2023-01-11T21:01:52.1664623Z 
2023-01-11T21:01:52.1664716Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1664771Z import torch
2023-01-11T21:01:52.1664837Z import random
2023-01-11T21:01:52.1664948Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1665068Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1665074Z 
2023-01-11T21:01:52.1665149Z aten = torch.ops.aten
2023-01-11T21:01:52.1665279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1665366Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1665371Z 
2023-01-11T21:01:52.1665375Z 
2023-01-11T21:01:52.1665505Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1665694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1665807Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1665908Z                        const double* __restrict__ in_ptr1,
2023-01-11T21:01:52.1666007Z                        double* __restrict__ out_ptr0)
2023-01-11T21:01:52.1666062Z {
2023-01-11T21:01:52.1666134Z     #pragma GCC ivdep
2023-01-11T21:01:52.1666211Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1666259Z     {
2023-01-11T21:01:52.1666334Z         #pragma GCC ivdep
2023-01-11T21:01:52.1666413Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1666473Z         {
2023-01-11T21:01:52.1666534Z             {
2023-01-11T21:01:52.1666595Z                 {
2023-01-11T21:01:52.1666681Z                     auto tmp0 = in_ptr0[i0 + (10*i1)];
2023-01-11T21:01:52.1666775Z                     auto tmp2 = in_ptr1[i1 + (10*i0)];
2023-01-11T21:01:52.1666878Z                     auto tmp1 = static_cast<double>(tmp0);
2023-01-11T21:01:52.1666968Z                     auto tmp3 = tmp1 + tmp2;
2023-01-11T21:01:52.1667057Z                     out_ptr0[i0 + (10*i1)] = tmp3;
2023-01-11T21:01:52.1667118Z                 }
2023-01-11T21:01:52.1667178Z             }
2023-01-11T21:01:52.1667226Z         }
2023-01-11T21:01:52.1667312Z     }
2023-01-11T21:01:52.1667368Z }
2023-01-11T21:01:52.1667442Z ''')
2023-01-11T21:01:52.1667447Z 
2023-01-11T21:01:52.1667451Z 
2023-01-11T21:01:52.1667537Z async_compile.wait(globals())
2023-01-11T21:01:52.1667605Z del async_compile
2023-01-11T21:01:52.1667635Z 
2023-01-11T21:01:52.1667702Z def call(args):
2023-01-11T21:01:52.1667774Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1667831Z     args.clear()
2023-01-11T21:01:52.1668028Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1668189Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1668255Z     del arg0_1
2023-01-11T21:01:52.1668315Z     del arg1_1
2023-01-11T21:01:52.1668384Z     return (buf0, )
2023-01-11T21:01:52.1668389Z 
2023-01-11T21:01:52.1668393Z 
2023-01-11T21:01:52.1668468Z if __name__ == "__main__":
2023-01-11T21:01:52.1668566Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1668688Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1668885Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1669080Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2023-01-11T21:01:52.1669191Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1669196Z 
2023-01-11T21:01:52.1669256Z ok (1.535s)
2023-01-11T21:01:52.1669713Z   test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1669838Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1670091Z [2023-01-11 21:01:47,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 562
2023-01-11T21:01:52.1670342Z [2023-01-11 21:01:49,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 562
2023-01-11T21:01:52.1670360Z 
2023-01-11T21:01:52.1670442Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1670507Z import torch
2023-01-11T21:01:52.1670575Z import random
2023-01-11T21:01:52.1670687Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1670802Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1670807Z 
2023-01-11T21:01:52.1670881Z aten = torch.ops.aten
2023-01-11T21:01:52.1671006Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1671082Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1671087Z 
2023-01-11T21:01:52.1671102Z 
2023-01-11T21:01:52.1671221Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1671421Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1671541Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1671640Z                        const int* __restrict__ in_ptr1,
2023-01-11T21:01:52.1671738Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1671797Z {
2023-01-11T21:01:52.1671870Z     #pragma GCC ivdep
2023-01-11T21:01:52.1671937Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1671996Z     {
2023-01-11T21:01:52.1672069Z         #pragma GCC ivdep
2023-01-11T21:01:52.1672148Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1672208Z         {
2023-01-11T21:01:52.1672271Z             {
2023-01-11T21:01:52.1672321Z                 {
2023-01-11T21:01:52.1672419Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2023-01-11T21:01:52.1672508Z                     auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1672611Z                     auto tmp2 = static_cast<float>(tmp1);
2023-01-11T21:01:52.1672697Z                     auto tmp3 = tmp0 + tmp2;
2023-01-11T21:01:52.1672822Z                     out_ptr0[i1 + (10*i0)] = tmp3;
2023-01-11T21:01:52.1672973Z                 }
2023-01-11T21:01:52.1673025Z             }
2023-01-11T21:01:52.1673087Z         }
2023-01-11T21:01:52.1673145Z     }
2023-01-11T21:01:52.1673234Z }
2023-01-11T21:01:52.1673315Z ''')
2023-01-11T21:01:52.1673323Z 
2023-01-11T21:01:52.1673327Z 
2023-01-11T21:01:52.1673412Z async_compile.wait(globals())
2023-01-11T21:01:52.1673479Z del async_compile
2023-01-11T21:01:52.1673484Z 
2023-01-11T21:01:52.1673550Z def call(args):
2023-01-11T21:01:52.1673612Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1673679Z     args.clear()
2023-01-11T21:01:52.1673881Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1674040Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1674104Z     del arg0_1
2023-01-11T21:01:52.1674165Z     del arg1_1
2023-01-11T21:01:52.1674232Z     return (buf0, )
2023-01-11T21:01:52.1674238Z 
2023-01-11T21:01:52.1674243Z 
2023-01-11T21:01:52.1674304Z if __name__ == "__main__":
2023-01-11T21:01:52.1674414Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1674536Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1674733Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1674919Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2023-01-11T21:01:52.1675028Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1675033Z 
2023-01-11T21:01:52.1675096Z ok (1.519s)
2023-01-11T21:01:52.1675557Z   test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1675681Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1675929Z [2023-01-11 21:01:49,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 563
2023-01-11T21:01:52.1676188Z [2023-01-11 21:01:50,659] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 563
2023-01-11T21:01:52.1676194Z 
2023-01-11T21:01:52.1676286Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1676351Z import torch
2023-01-11T21:01:52.1676420Z import random
2023-01-11T21:01:52.1676531Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1676647Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1676653Z 
2023-01-11T21:01:52.1676725Z aten = torch.ops.aten
2023-01-11T21:01:52.1676843Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1676929Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1676936Z 
2023-01-11T21:01:52.1676940Z 
2023-01-11T21:01:52.1677071Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1677272Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1677390Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1677491Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1677585Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1677642Z {
2023-01-11T21:01:52.1677704Z     #pragma GCC ivdep
2023-01-11T21:01:52.1677780Z     for(long i0=0; i0<10; i0+=1)
2023-01-11T21:01:52.1677839Z     {
2023-01-11T21:01:52.1677915Z         #pragma GCC ivdep
2023-01-11T21:01:52.1677993Z         for(long i1=0; i1<10; i1+=1)
2023-01-11T21:01:52.1678052Z         {
2023-01-11T21:01:52.1678113Z             {
2023-01-11T21:01:52.1678163Z                 {
2023-01-11T21:01:52.1678260Z                     auto tmp0 = in_ptr0[i0 + (10*i1)];
2023-01-11T21:01:52.1678390Z                     auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2023-01-11T21:01:52.1678479Z                     auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1678567Z                     out_ptr0[i0 + (10*i1)] = tmp2;
2023-01-11T21:01:52.1678630Z                 }
2023-01-11T21:01:52.1678706Z             }
2023-01-11T21:01:52.1678767Z         }
2023-01-11T21:01:52.1678826Z     }
2023-01-11T21:01:52.1678883Z }
2023-01-11T21:01:52.1678960Z ''')
2023-01-11T21:01:52.1678965Z 
2023-01-11T21:01:52.1678969Z 
2023-01-11T21:01:52.1679055Z async_compile.wait(globals())
2023-01-11T21:01:52.1679121Z del async_compile
2023-01-11T21:01:52.1679126Z 
2023-01-11T21:01:52.1679193Z def call(args):
2023-01-11T21:01:52.1679254Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1679322Z     args.clear()
2023-01-11T21:01:52.1679519Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1679678Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1679746Z     del arg0_1
2023-01-11T21:01:52.1679807Z     del arg1_1
2023-01-11T21:01:52.1679874Z     return (buf0, )
2023-01-11T21:01:52.1679879Z 
2023-01-11T21:01:52.1679883Z 
2023-01-11T21:01:52.1679944Z if __name__ == "__main__":
2023-01-11T21:01:52.1680055Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1680176Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1680372Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1680566Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1680678Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1680683Z 
2023-01-11T21:01:52.1680745Z ok (1.533s)
2023-01-11T21:01:52.1681207Z   test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... inductor/test_torchinductor.py:246: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:01:52.1681334Z   buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone()
2023-01-11T21:01:52.1681579Z [2023-01-11 21:01:50,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 564
2023-01-11T21:01:52.1681839Z [2023-01-11 21:01:50,691] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 564
2023-01-11T21:01:52.1681843Z 
2023-01-11T21:01:52.1681934Z from ctypes import c_void_p, c_long
2023-01-11T21:01:52.1682002Z import torch
2023-01-11T21:01:52.1682071Z import random
2023-01-11T21:01:52.1682180Z from torch import empty_strided, as_strided, device
2023-01-11T21:01:52.1682291Z from torch._inductor.codecache import AsyncCompile
2023-01-11T21:01:52.1682297Z 
2023-01-11T21:01:52.1682370Z aten = torch.ops.aten
2023-01-11T21:01:52.1682490Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2023-01-11T21:01:52.1682578Z async_compile = AsyncCompile()
2023-01-11T21:01:52.1682583Z 
2023-01-11T21:01:52.1682587Z 
2023-01-11T21:01:52.1682717Z kernel_cpp_0 = async_compile.cpp('''
2023-01-11T21:01:52.1682919Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2023-01-11T21:01:52.1683035Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2023-01-11T21:01:52.1683137Z                        const float* __restrict__ in_ptr1,
2023-01-11T21:01:52.1683231Z                        float* __restrict__ out_ptr0)
2023-01-11T21:01:52.1683288Z {
2023-01-11T21:01:52.1683486Z     for(long i0=0; i0<12; i0+=1)
2023-01-11T21:01:52.1683574Z     {
2023-01-11T21:01:52.1683722Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2023-01-11T21:01:52.1683849Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2023-01-11T21:01:52.1683928Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1684066Z         tmp2.store(out_ptr0 + 8*i0);
2023-01-11T21:01:52.1684124Z     }
2023-01-11T21:01:52.1684197Z     #pragma omp simd simdlen(4) 
2023-01-11T21:01:52.1684275Z     for(long i0=96; i0<100; i0+=1)
2023-01-11T21:01:52.1684332Z     {
2023-01-11T21:01:52.1684443Z         auto tmp0 = in_ptr0[i0];
2023-01-11T21:01:52.1684522Z         auto tmp1 = in_ptr1[i0];
2023-01-11T21:01:52.1684594Z         auto tmp2 = tmp0 + tmp1;
2023-01-11T21:01:52.1684669Z         out_ptr0[i0] = tmp2;
2023-01-11T21:01:52.1684716Z     }
2023-01-11T21:01:52.1684770Z }
2023-01-11T21:01:52.1684850Z ''')
2023-01-11T21:01:52.1684856Z 
2023-01-11T21:01:52.1684860Z 
2023-01-11T21:01:52.1684945Z async_compile.wait(globals())
2023-01-11T21:01:52.1685017Z del async_compile
2023-01-11T21:01:52.1685021Z 
2023-01-11T21:01:52.1685087Z def call(args):
2023-01-11T21:01:52.1685156Z     arg0_1, arg1_1 = args
2023-01-11T21:01:52.1685212Z     args.clear()
2023-01-11T21:01:52.1685412Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1685575Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2023-01-11T21:01:52.1685640Z     del arg0_1
2023-01-11T21:01:52.1685702Z     del arg1_1
2023-01-11T21:01:52.1685771Z     return (buf0, )
2023-01-11T21:01:52.1685776Z 
2023-01-11T21:01:52.1685780Z 
2023-01-11T21:01:52.1685853Z if __name__ == "__main__":
2023-01-11T21:01:52.1685966Z     from torch._dynamo.testing import rand_strided
2023-01-11T21:01:52.1686075Z     from torch._inductor.utils import print_performance
2023-01-11T21:01:52.1686270Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1686464Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2023-01-11T21:01:52.1686576Z     print_performance(lambda: call([arg0_1, arg1_1]))
2023-01-11T21:01:52.1686581Z 
2023-01-11T21:01:52.1686645Z ok (0.029s)
2023-01-11T21:01:52.1686788Z   test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.076s)
2023-01-11T21:01:52.1686951Z   test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.081s)
2023-01-11T21:01:52.1686956Z 
2023-01-11T21:01:52.1687151Z ----------------------------------------------------------------------
2023-01-11T21:01:52.1687216Z Ran 362 tests in 651.722s
2023-01-11T21:01:52.1687220Z 
2023-01-11T21:01:52.1687286Z OK (skipped=19)
2023-01-11T21:01:52.1687291Z 
2023-01-11T21:01:52.1687369Z Generating XML reports...
2023-01-11T21:01:52.1687678Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20230111205059.xml
2023-01-11T21:01:52.1687962Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20230111205059.xml
2023-01-11T21:01:52.1688271Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-ExprPrinterTests-20230111205059.xml
2023-01-11T21:01:52.1688586Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20230111205059.xml
2023-01-11T21:01:52.1688930Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20230111205059.xml
2023-01-11T21:01:52.1688935Z 
2023-01-11T21:01:52.1689268Z ##[endgroup]
2023-01-11T21:01:52.1689596Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_nsakqsla)
2023-01-11T21:01:52.1689602Z 
2023-01-11T21:01:53.5915801Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:01:53.7397848Z Ignoring disabled issues:  []
2023-01-11T21:01:53.8667092Z Running test_foreach ... [2023-01-11 21:01:53.866363]
2023-01-11T21:01:53.8668613Z Executing ['/opt/conda/bin/python', '-bb', 'test_foreach.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:01:53.866641]
2023-01-11T21:04:10.3417027Z 
2023-01-11T21:04:10.3427825Z Expand the folded group to see the log file of test_foreach
2023-01-11T21:04:10.3428999Z ##[group]PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_29ayicun)
2023-01-11T21:04:10.3434756Z Test results will be stored in test-reports/python-unittest/test_foreach
2023-01-11T21:04:10.3435068Z 
2023-01-11T21:04:10.3435343Z Running tests...
2023-01-11T21:04:10.3435894Z ----------------------------------------------------------------------
2023-01-11T21:04:10.3436380Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3436950Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_bool (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3437544Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3489505Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3491043Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3491579Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3492115Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3492620Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3493101Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3493603Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3494112Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3494590Z   test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3495103Z   test_binary_op_list_error_cases__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.042s)
2023-01-11T21:04:10.3495599Z   test_binary_op_list_error_cases__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3496089Z   test_binary_op_list_error_cases__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3496561Z   test_binary_op_list_error_cases__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3497080Z   test_binary_op_list_error_cases__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3497583Z   test_binary_op_list_error_cases__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3498085Z   test_binary_op_list_error_cases__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3498553Z   test_binary_op_list_error_cases__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3499062Z   test_binary_op_list_error_cases__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3499562Z   test_binary_op_list_error_cases__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3500041Z   test_binary_op_list_error_cases__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3500524Z   test_binary_op_list_error_cases__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3525395Z   test_binary_op_list_error_cases__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3527044Z   test_binary_op_list_error_cases__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3527494Z   test_binary_op_list_error_cases__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3528106Z   test_binary_op_list_error_cases__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3529871Z   test_binary_op_list_error_cases__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3530274Z   test_binary_op_list_error_cases__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3530726Z   test_binary_op_list_error_cases__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3531070Z   test_binary_op_list_error_cases__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3531444Z   test_binary_op_list_error_cases__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3531954Z   test_binary_op_list_error_cases__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3532898Z   test_binary_op_list_error_cases__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3533451Z   test_binary_op_list_error_cases__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3533832Z   test_binary_op_list_error_cases__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3534217Z   test_binary_op_list_error_cases__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3534609Z   test_binary_op_list_error_cases__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3535165Z   test_binary_op_list_error_cases__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3535677Z   test_binary_op_list_error_cases__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3536024Z   test_binary_op_list_error_cases__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3536415Z   test_binary_op_list_error_cases__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3536733Z   test_binary_op_list_error_cases__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3537087Z   test_binary_op_list_error_cases__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3537452Z   test_binary_op_list_error_cases__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3537793Z   test_binary_op_list_error_cases__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3538163Z   test_binary_op_list_error_cases__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3538499Z   test_binary_op_list_error_cases__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3538928Z   test_binary_op_list_error_cases__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3539270Z   test_binary_op_list_error_cases__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3539668Z   test_binary_op_list_error_cases__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3540163Z   test_binary_op_list_error_cases__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3540795Z   test_binary_op_list_error_cases__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3541227Z   test_binary_op_list_error_cases__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3541558Z   test_binary_op_list_error_cases__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3541871Z   test_binary_op_list_error_cases__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3542203Z   test_binary_op_list_error_cases__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3542532Z   test_binary_op_list_error_cases__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3542847Z   test_binary_op_list_error_cases__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3543283Z   test_binary_op_list_slow_path__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3543692Z   test_binary_op_list_slow_path__foreach_add_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3544072Z   test_binary_op_list_slow_path__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3544436Z   test_binary_op_list_slow_path__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3544807Z   test_binary_op_list_slow_path__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3545174Z   test_binary_op_list_slow_path__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3545536Z   test_binary_op_list_slow_path__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3545889Z   test_binary_op_list_slow_path__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3546254Z   test_binary_op_list_slow_path__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3546616Z   test_binary_op_list_slow_path__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3546981Z   test_binary_op_list_slow_path__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3547325Z   test_binary_op_list_slow_path__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3547690Z   test_binary_op_list_slow_path__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3548057Z   test_binary_op_list_slow_path__foreach_div_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3548425Z   test_binary_op_list_slow_path__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3548789Z   test_binary_op_list_slow_path__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3549159Z   test_binary_op_list_slow_path__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3549521Z   test_binary_op_list_slow_path__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3549873Z   test_binary_op_list_slow_path__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3550231Z   test_binary_op_list_slow_path__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3550593Z   test_binary_op_list_slow_path__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3550955Z   test_binary_op_list_slow_path__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3551300Z   test_binary_op_list_slow_path__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3551658Z   test_binary_op_list_slow_path__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3552018Z   test_binary_op_list_slow_path__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3552379Z   test_binary_op_list_slow_path__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3552729Z   test_binary_op_list_slow_path__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3553179Z   test_binary_op_list_slow_path__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3553590Z   test_binary_op_list_slow_path__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3553985Z   test_binary_op_list_slow_path__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3554334Z   test_binary_op_list_slow_path__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3554702Z   test_binary_op_list_slow_path__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3555066Z   test_binary_op_list_slow_path__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3555424Z   test_binary_op_list_slow_path__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3555768Z   test_binary_op_list_slow_path__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3556128Z   test_binary_op_list_slow_path__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3556487Z   test_binary_op_list_slow_path__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3556848Z   test_binary_op_list_slow_path__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3557203Z   test_binary_op_list_slow_path__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3557575Z   test_binary_op_list_slow_path__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3557940Z   test_binary_op_list_slow_path__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3558290Z   test_binary_op_list_slow_path__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3558693Z   test_binary_op_list_slow_path__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3559089Z   test_binary_op_list_slow_path__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3559460Z   test_binary_op_list_slow_path__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3559832Z   test_binary_op_list_slow_path__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3560189Z   test_binary_op_list_slow_path__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3560548Z   test_binary_op_list_slow_path__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... skip: CUDA not found (0.002s)
2023-01-11T21:04:10.3560897Z   test_binary_op_scalar_fastpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.060s)
2023-01-11T21:04:10.3561227Z   test_binary_op_scalar_fastpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.088s)
2023-01-11T21:04:10.3561576Z   test_binary_op_scalar_fastpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.047s)
2023-01-11T21:04:10.3561926Z   test_binary_op_scalar_fastpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.050s)
2023-01-11T21:04:10.3562741Z   test_binary_op_scalar_fastpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... test_foreach.py:90: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2023-01-11T21:04:10.3563264Z   actual = self.func(*inputs, **kwargs)
2023-01-11T21:04:10.3563629Z ok (0.061s)
2023-01-11T21:04:10.3563892Z   test_binary_op_scalar_fastpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.061s)
2023-01-11T21:04:10.3564238Z   test_binary_op_scalar_fastpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.058s)
2023-01-11T21:04:10.3564654Z   test_binary_op_scalar_fastpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.070s)
2023-01-11T21:04:10.3564998Z   test_binary_op_scalar_fastpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.070s)
2023-01-11T21:04:10.3565389Z   test_binary_op_scalar_fastpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.068s)
2023-01-11T21:04:10.3565729Z   test_binary_op_scalar_fastpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.070s)
2023-01-11T21:04:10.3566049Z   test_binary_op_scalar_fastpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.070s)
2023-01-11T21:04:10.3566389Z   test_binary_op_scalar_fastpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.056s)
2023-01-11T21:04:10.3566733Z   test_binary_op_scalar_fastpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3567075Z   test_binary_op_scalar_fastpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.047s)
2023-01-11T21:04:10.3567409Z   test_binary_op_scalar_fastpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.049s)
2023-01-11T21:04:10.3567754Z   test_binary_op_scalar_fastpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.071s)
2023-01-11T21:04:10.3568099Z   test_binary_op_scalar_fastpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.055s)
2023-01-11T21:04:10.3568424Z   test_binary_op_scalar_fastpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.053s)
2023-01-11T21:04:10.3568759Z   test_binary_op_scalar_fastpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.097s)
2023-01-11T21:04:10.3569088Z   test_binary_op_scalar_fastpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.098s)
2023-01-11T21:04:10.3569413Z   test_binary_op_scalar_fastpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.097s)
2023-01-11T21:04:10.3569734Z   test_binary_op_scalar_fastpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.097s)
2023-01-11T21:04:10.3570065Z   test_binary_op_scalar_fastpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.097s)
2023-01-11T21:04:10.3570403Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.055s)
2023-01-11T21:04:10.3570745Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.077s)
2023-01-11T21:04:10.3571073Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.047s)
2023-01-11T21:04:10.3571420Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.050s)
2023-01-11T21:04:10.3586914Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.056s)
2023-01-11T21:04:10.3587562Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.057s)
2023-01-11T21:04:10.3588217Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.054s)
2023-01-11T21:04:10.3588853Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.062s)
2023-01-11T21:04:10.3589234Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.063s)
2023-01-11T21:04:10.3589555Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.060s)
2023-01-11T21:04:10.3589891Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.062s)
2023-01-11T21:04:10.3590222Z   test_binary_op_scalar_fastpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.062s)
2023-01-11T21:04:10.3590547Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.084s)
2023-01-11T21:04:10.3590887Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.148s)
2023-01-11T21:04:10.3591228Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.073s)
2023-01-11T21:04:10.3591741Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.075s)
2023-01-11T21:04:10.3592328Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.085s)
2023-01-11T21:04:10.3592899Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.085s)
2023-01-11T21:04:10.3593546Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.083s)
2023-01-11T21:04:10.3594111Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3594657Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3595212Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.095s)
2023-01-11T21:04:10.3595766Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3596304Z   test_binary_op_scalar_fastpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3596872Z   test_binary_op_scalar_slowpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.072s)
2023-01-11T21:04:10.3598232Z   test_binary_op_scalar_slowpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.099s)
2023-01-11T21:04:10.3598974Z   test_binary_op_scalar_slowpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.057s)
2023-01-11T21:04:10.3599556Z   test_binary_op_scalar_slowpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.061s)
2023-01-11T21:04:10.3600132Z   test_binary_op_scalar_slowpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.073s)
2023-01-11T21:04:10.3600685Z   test_binary_op_scalar_slowpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.072s)
2023-01-11T21:04:10.3601247Z   test_binary_op_scalar_slowpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.069s)
2023-01-11T21:04:10.3601839Z   test_binary_op_scalar_slowpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.081s)
2023-01-11T21:04:10.3602451Z   test_binary_op_scalar_slowpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.082s)
2023-01-11T21:04:10.3603071Z   test_binary_op_scalar_slowpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.080s)
2023-01-11T21:04:10.3603803Z   test_binary_op_scalar_slowpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.082s)
2023-01-11T21:04:10.3604299Z   test_binary_op_scalar_slowpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.081s)
2023-01-11T21:04:10.3604780Z   test_binary_op_scalar_slowpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.068s)
2023-01-11T21:04:10.3605281Z   test_binary_op_scalar_slowpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3605765Z   test_binary_op_scalar_slowpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.058s)
2023-01-11T21:04:10.3606280Z   test_binary_op_scalar_slowpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.061s)
2023-01-11T21:04:10.3606868Z   test_binary_op_scalar_slowpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.095s)
2023-01-11T21:04:10.3607356Z   test_binary_op_scalar_slowpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.067s)
2023-01-11T21:04:10.3607693Z   test_binary_op_scalar_slowpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.065s)
2023-01-11T21:04:10.3608026Z   test_binary_op_scalar_slowpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.109s)
2023-01-11T21:04:10.3608343Z   test_binary_op_scalar_slowpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3608669Z   test_binary_op_scalar_slowpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3609003Z   test_binary_op_scalar_slowpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3609430Z   test_binary_op_scalar_slowpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3609820Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.067s)
2023-01-11T21:04:10.3610163Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.087s)
2023-01-11T21:04:10.3610505Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.057s)
2023-01-11T21:04:10.3610839Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.060s)
2023-01-11T21:04:10.3611181Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.068s)
2023-01-11T21:04:10.3611520Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.067s)
2023-01-11T21:04:10.3611856Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.065s)
2023-01-11T21:04:10.3612176Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.073s)
2023-01-11T21:04:10.3612510Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.074s)
2023-01-11T21:04:10.3612837Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.072s)
2023-01-11T21:04:10.3613157Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.073s)
2023-01-11T21:04:10.3613491Z   test_binary_op_scalar_slowpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.073s)
2023-01-11T21:04:10.3613828Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3614166Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.159s)
2023-01-11T21:04:10.3614495Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.084s)
2023-01-11T21:04:10.3614841Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.086s)
2023-01-11T21:04:10.3615183Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.097s)
2023-01-11T21:04:10.3615520Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.096s)
2023-01-11T21:04:10.3615840Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.094s)
2023-01-11T21:04:10.3616176Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.107s)
2023-01-11T21:04:10.3616505Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.107s)
2023-01-11T21:04:10.3616816Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.107s)
2023-01-11T21:04:10.3617144Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3617474Z   test_binary_op_scalar_slowpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3617833Z   test_binary_op_scalar_with_different_tensor_dtypes__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3618202Z   test_binary_op_scalar_with_different_tensor_dtypes__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3618576Z   test_binary_op_scalar_with_different_tensor_dtypes__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3618948Z   test_binary_op_scalar_with_different_tensor_dtypes__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3619324Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3619684Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3620100Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3620510Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3620890Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3621251Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3621626Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3621992Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3622342Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3622715Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3623086Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3623450Z   test_binary_op_scalar_with_overlapping_tensors__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3623807Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3624177Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3624555Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3624934Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3625295Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3625670Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3626038Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3626401Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3626748Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3627102Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3627468Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3627830Z   test_binary_op_scalar_with_overlapping_tensors__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3628183Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3628557Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3628929Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3629310Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3629671Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3630039Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3630441Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3630791Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3631183Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3631553Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3631916Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3632267Z   test_binary_op_scalar_with_overlapping_tensors__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3632635Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3633099Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3633479Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3633841Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3634213Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3634581Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3634952Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3635302Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3635667Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3636033Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3636406Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3636756Z   test_binary_op_scalar_with_overlapping_tensors__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.001s)
2023-01-11T21:04:10.3637118Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.114s)
2023-01-11T21:04:10.3637472Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.142s)
2023-01-11T21:04:10.3637812Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.070s)
2023-01-11T21:04:10.3638170Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.074s)
2023-01-11T21:04:10.3638528Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.116s)
2023-01-11T21:04:10.3638878Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.117s)
2023-01-11T21:04:10.3639213Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.113s)
2023-01-11T21:04:10.3639565Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.124s)
2023-01-11T21:04:10.3639909Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.126s)
2023-01-11T21:04:10.3640244Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.123s)
2023-01-11T21:04:10.3640571Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.125s)
2023-01-11T21:04:10.3640919Z   test_binary_op_scalarlist_fastpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.125s)
2023-01-11T21:04:10.3641306Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.104s)
2023-01-11T21:04:10.3641686Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.144s)
2023-01-11T21:04:10.3642029Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.069s)
2023-01-11T21:04:10.3642390Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.074s)
2023-01-11T21:04:10.3642742Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.152s)
2023-01-11T21:04:10.3643080Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.104s)
2023-01-11T21:04:10.3643573Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.100s)
2023-01-11T21:04:10.3643934Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.146s)
2023-01-11T21:04:10.3644279Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.146s)
2023-01-11T21:04:10.3644609Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.145s)
2023-01-11T21:04:10.3644957Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.144s)
2023-01-11T21:04:10.3645305Z   test_binary_op_scalarlist_fastpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.145s)
2023-01-11T21:04:10.3645655Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.103s)
2023-01-11T21:04:10.3645988Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.123s)
2023-01-11T21:04:10.3646340Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.069s)
2023-01-11T21:04:10.3646701Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.073s)
2023-01-11T21:04:10.3647040Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.104s)
2023-01-11T21:04:10.3647395Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.105s)
2023-01-11T21:04:10.3647743Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.101s)
2023-01-11T21:04:10.3648089Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.109s)
2023-01-11T21:04:10.3648417Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.111s)
2023-01-11T21:04:10.3648757Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.108s)
2023-01-11T21:04:10.3649099Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.109s)
2023-01-11T21:04:10.3649448Z   test_binary_op_scalarlist_fastpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.109s)
2023-01-11T21:04:10.3649786Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.146s)
2023-01-11T21:04:10.3650132Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.220s)
2023-01-11T21:04:10.3650485Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.121s)
2023-01-11T21:04:10.3650842Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.124s)
2023-01-11T21:04:10.3651193Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.147s)
2023-01-11T21:04:10.3651535Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.147s)
2023-01-11T21:04:10.3651863Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.144s)
2023-01-11T21:04:10.3652269Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.157s)
2023-01-11T21:04:10.3652647Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.158s)
2023-01-11T21:04:10.3652984Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.157s)
2023-01-11T21:04:10.3653306Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.158s)
2023-01-11T21:04:10.3653645Z   test_binary_op_scalarlist_fastpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.165s)
2023-01-11T21:04:10.3653992Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.134s)
2023-01-11T21:04:10.3654326Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.161s)
2023-01-11T21:04:10.3654680Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.088s)
2023-01-11T21:04:10.3655040Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.101s)
2023-01-11T21:04:10.3655391Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.136s)
2023-01-11T21:04:10.3655727Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.134s)
2023-01-11T21:04:10.3656075Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.130s)
2023-01-11T21:04:10.3656419Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.143s)
2023-01-11T21:04:10.3656757Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.144s)
2023-01-11T21:04:10.3657084Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.142s)
2023-01-11T21:04:10.3657427Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.143s)
2023-01-11T21:04:10.3657769Z   test_binary_op_scalarlist_slowpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.143s)
2023-01-11T21:04:10.3658103Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.122s)
2023-01-11T21:04:10.3658449Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.162s)
2023-01-11T21:04:10.3658798Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.087s)
2023-01-11T21:04:10.3659152Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.092s)
2023-01-11T21:04:10.3659490Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.170s)
2023-01-11T21:04:10.3659832Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.122s)
2023-01-11T21:04:10.3660179Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.118s)
2023-01-11T21:04:10.3660523Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.163s)
2023-01-11T21:04:10.3660852Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.164s)
2023-01-11T21:04:10.3661191Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.163s)
2023-01-11T21:04:10.3661529Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.164s)
2023-01-11T21:04:10.3661858Z   test_binary_op_scalarlist_slowpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.163s)
2023-01-11T21:04:10.3662201Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.122s)
2023-01-11T21:04:10.3662545Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.142s)
2023-01-11T21:04:10.3662946Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.088s)
2023-01-11T21:04:10.3663322Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.091s)
2023-01-11T21:04:10.3663672Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.123s)
2023-01-11T21:04:10.3664015Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.122s)
2023-01-11T21:04:10.3664357Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.119s)
2023-01-11T21:04:10.3664686Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.128s)
2023-01-11T21:04:10.3665026Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.129s)
2023-01-11T21:04:10.3665367Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.127s)
2023-01-11T21:04:10.3665702Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.128s)
2023-01-11T21:04:10.3666030Z   test_binary_op_scalarlist_slowpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.137s)
2023-01-11T21:04:10.3666373Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.167s)
2023-01-11T21:04:10.3666717Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.240s)
2023-01-11T21:04:10.3667053Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.140s)
2023-01-11T21:04:10.3667408Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.142s)
2023-01-11T21:04:10.3667757Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.167s)
2023-01-11T21:04:10.3668102Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.165s)
2023-01-11T21:04:10.3668436Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.163s)
2023-01-11T21:04:10.3668778Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.176s)
2023-01-11T21:04:10.3669115Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.177s)
2023-01-11T21:04:10.3669448Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.176s)
2023-01-11T21:04:10.3669770Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.176s)
2023-01-11T21:04:10.3670109Z   test_binary_op_scalarlist_slowpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.175s)
2023-01-11T21:04:10.3670458Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3670798Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.051s)
2023-01-11T21:04:10.3671156Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3671511Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.046s)
2023-01-11T21:04:10.3671865Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3672203Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3672551Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3672898Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3673324Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3673694Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3674107Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3674457Z   test_binary_op_tensorlists_fastpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3674807Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3675143Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3675498Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.024s)
2023-01-11T21:04:10.3675855Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3676197Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.021s)
2023-01-11T21:04:10.3676547Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3676896Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.019s)
2023-01-11T21:04:10.3677242Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3677575Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.045s)
2023-01-11T21:04:10.3677915Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3678257Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3678603Z   test_binary_op_tensorlists_fastpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3678941Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3679292Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3679645Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.024s)
2023-01-11T21:04:10.3679989Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3680340Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.021s)
2023-01-11T21:04:10.3680694Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.021s)
2023-01-11T21:04:10.3681036Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.019s)
2023-01-11T21:04:10.3681373Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3681723Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3682063Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3682408Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3682738Z   test_binary_op_tensorlists_fastpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3683087Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3683588Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.130s)
2023-01-11T21:04:10.3683953Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.044s)
2023-01-11T21:04:10.3684360Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.046s)
2023-01-11T21:04:10.3684712Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3685102Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3685438Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3685786Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3686130Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3686469Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3686799Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3687144Z   test_binary_op_tensorlists_fastpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3687494Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.048s)
2023-01-11T21:04:10.3687842Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_bool (__main__.TestForeachCPU) ... ok (0.060s)
2023-01-11T21:04:10.3688182Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.053s)
2023-01-11T21:04:10.3688541Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.055s)
2023-01-11T21:04:10.3688893Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... ok (0.050s)
2023-01-11T21:04:10.3689239Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... ok (0.047s)
2023-01-11T21:04:10.3689572Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... ok (0.045s)
2023-01-11T21:04:10.3689922Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... ok (0.032s)
2023-01-11T21:04:10.3690267Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... ok (0.032s)
2023-01-11T21:04:10.3690600Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... ok (0.030s)
2023-01-11T21:04:10.3690946Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... ok (0.032s)
2023-01-11T21:04:10.3691290Z   test_binary_op_tensorlists_slowpath__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.032s)
2023-01-11T21:04:10.3691638Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.031s)
2023-01-11T21:04:10.3691973Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_bool (__main__.TestForeachCPU) ... ok (0.054s)
2023-01-11T21:04:10.3692326Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.034s)
2023-01-11T21:04:10.3692679Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3693029Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... ok (0.032s)
2023-01-11T21:04:10.3693366Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... ok (0.035s)
2023-01-11T21:04:10.3693708Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... ok (0.035s)
2023-01-11T21:04:10.3694051Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... ok (0.054s)
2023-01-11T21:04:10.3694379Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... ok (0.055s)
2023-01-11T21:04:10.3694726Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... ok (0.056s)
2023-01-11T21:04:10.3695104Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... ok (0.055s)
2023-01-11T21:04:10.3695484Z   test_binary_op_tensorlists_slowpath__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.055s)
2023-01-11T21:04:10.3695822Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.031s)
2023-01-11T21:04:10.3696167Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3696522Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.034s)
2023-01-11T21:04:10.3696881Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.035s)
2023-01-11T21:04:10.3697220Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... ok (0.032s)
2023-01-11T21:04:10.3697564Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... ok (0.030s)
2023-01-11T21:04:10.3697911Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... ok (0.029s)
2023-01-11T21:04:10.3698257Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3698587Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3698928Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... ok (0.021s)
2023-01-11T21:04:10.3699270Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3699602Z   test_binary_op_tensorlists_slowpath__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3699947Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.048s)
2023-01-11T21:04:10.3700295Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... ok (0.141s)
2023-01-11T21:04:10.3700649Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.054s)
2023-01-11T21:04:10.3700993Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.056s)
2023-01-11T21:04:10.3701343Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... ok (0.051s)
2023-01-11T21:04:10.3701690Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... ok (0.048s)
2023-01-11T21:04:10.3702032Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... ok (0.046s)
2023-01-11T21:04:10.3702364Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... ok (0.033s)
2023-01-11T21:04:10.3702707Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... ok (0.033s)
2023-01-11T21:04:10.3703047Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... ok (0.030s)
2023-01-11T21:04:10.3703379Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... ok (0.033s)
2023-01-11T21:04:10.3703720Z   test_binary_op_tensorlists_slowpath__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.033s)
2023-01-11T21:04:10.3704099Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:04:10.3704507Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3704900Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3705310Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3705752Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3706181Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3706566Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3706959Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3707358Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3707755Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3708140Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3708540Z   test_binary_op_tensors_on_different_devices__foreach_add_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3708938Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3709333Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3709726Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3710135Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3710534Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3710940Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3711323Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3711710Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3712098Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3712492Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3712886Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3713348Z   test_binary_op_tensors_on_different_devices__foreach_div_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3713748Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3714145Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3714547Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3714946Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3715346Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3715779Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3716200Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3716578Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3716970Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3717356Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3717747Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3718126Z   test_binary_op_tensors_on_different_devices__foreach_mul_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3718527Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3718923Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_bool (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3719321Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3719712Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3720111Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3720500Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3720891Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3721265Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3721658Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3722046Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3722442Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3722822Z   test_binary_op_tensors_on_different_devices__foreach_sub_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3723217Z   test_foreach_l2_large_value_input__foreach_norm_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3723751Z   test_foreach_l2_large_value_input__foreach_norm_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3724109Z   test_minmax_fastpath__foreach_maximum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3724429Z   test_minmax_fastpath__foreach_maximum_cpu_bool (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3724758Z   test_minmax_fastpath__foreach_maximum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3725087Z   test_minmax_fastpath__foreach_maximum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3725400Z   test_minmax_fastpath__foreach_maximum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3725721Z   test_minmax_fastpath__foreach_maximum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s)
2023-01-11T21:04:10.3726113Z   test_minmax_fastpath__foreach_maximum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s)
2023-01-11T21:04:10.3726474Z   test_minmax_fastpath__foreach_maximum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3726784Z   test_minmax_fastpath__foreach_maximum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3727104Z   test_minmax_fastpath__foreach_maximum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s)
2023-01-11T21:04:10.3727429Z   test_minmax_fastpath__foreach_minimum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3727741Z   test_minmax_fastpath__foreach_minimum_cpu_bool (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3728065Z   test_minmax_fastpath__foreach_minimum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3728389Z   test_minmax_fastpath__foreach_minimum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3728716Z   test_minmax_fastpath__foreach_minimum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3729021Z   test_minmax_fastpath__foreach_minimum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.007s)
2023-01-11T21:04:10.3729342Z   test_minmax_fastpath__foreach_minimum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.007s)
2023-01-11T21:04:10.3729656Z   test_minmax_fastpath__foreach_minimum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3729973Z   test_minmax_fastpath__foreach_minimum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3730281Z   test_minmax_fastpath__foreach_minimum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.007s)
2023-01-11T21:04:10.3730610Z   test_minmax_float_inf_nan__foreach_maximum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3730946Z   test_minmax_float_inf_nan__foreach_maximum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3731268Z   test_minmax_float_inf_nan__foreach_maximum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3731600Z   test_minmax_float_inf_nan__foreach_maximum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3731936Z   test_minmax_float_inf_nan__foreach_minimum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3732271Z   test_minmax_float_inf_nan__foreach_minimum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3732585Z   test_minmax_float_inf_nan__foreach_minimum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3732913Z   test_minmax_float_inf_nan__foreach_minimum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.002s)
2023-01-11T21:04:10.3733243Z   test_minmax_slowpath__foreach_maximum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3733569Z   test_minmax_slowpath__foreach_maximum_cpu_bool (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3733887Z   test_minmax_slowpath__foreach_maximum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3734215Z   test_minmax_slowpath__foreach_maximum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3734543Z   test_minmax_slowpath__foreach_maximum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3734852Z   test_minmax_slowpath__foreach_maximum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3735172Z   test_minmax_slowpath__foreach_maximum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3735494Z   test_minmax_slowpath__foreach_maximum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3735810Z   test_minmax_slowpath__foreach_maximum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3736115Z   test_minmax_slowpath__foreach_maximum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3736441Z   test_minmax_slowpath__foreach_minimum_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3736815Z   test_minmax_slowpath__foreach_minimum_cpu_bool (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3737123Z   test_minmax_slowpath__foreach_minimum_cpu_float16 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3737477Z   test_minmax_slowpath__foreach_minimum_cpu_float32 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3737804Z   test_minmax_slowpath__foreach_minimum_cpu_float64 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3738123Z   test_minmax_slowpath__foreach_minimum_cpu_int16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3738429Z   test_minmax_slowpath__foreach_minimum_cpu_int32 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3738747Z   test_minmax_slowpath__foreach_minimum_cpu_int64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3739062Z   test_minmax_slowpath__foreach_minimum_cpu_int8 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3739382Z   test_minmax_slowpath__foreach_minimum_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3739708Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_complex128 (__main__.TestForeachCPU) ... ok (3.488s)
2023-01-11T21:04:10.3740062Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_complex64 (__main__.TestForeachCPU) ... ok (3.461s)
2023-01-11T21:04:10.3740411Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_float32 (__main__.TestForeachCPU) ... ok (3.154s)
2023-01-11T21:04:10.3740742Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_float64 (__main__.TestForeachCPU) ... ok (3.129s)
2023-01-11T21:04:10.3741086Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_int16 (__main__.TestForeachCPU) ... ok (4.118s)
2023-01-11T21:04:10.3741420Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_int32 (__main__.TestForeachCPU) ... ok (4.114s)
2023-01-11T21:04:10.3741750Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_int64 (__main__.TestForeachCPU) ... ok (4.121s)
2023-01-11T21:04:10.3742078Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_int8 (__main__.TestForeachCPU) ... ok (4.112s)
2023-01-11T21:04:10.3742415Z   test_pointwise_op_fastpath__foreach_addcdiv_cpu_uint8 (__main__.TestForeachCPU) ... ok (4.120s)
2023-01-11T21:04:10.3742766Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_complex128 (__main__.TestForeachCPU) ... ok (3.322s)
2023-01-11T21:04:10.3743120Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_complex64 (__main__.TestForeachCPU) ... ok (3.298s)
2023-01-11T21:04:10.3743449Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_float32 (__main__.TestForeachCPU) ... ok (2.996s)
2023-01-11T21:04:10.3743788Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_float64 (__main__.TestForeachCPU) ... ok (2.975s)
2023-01-11T21:04:10.3744127Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_int16 (__main__.TestForeachCPU) ... ok (2.822s)
2023-01-11T21:04:10.3744444Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_int32 (__main__.TestForeachCPU) ... ok (2.828s)
2023-01-11T21:04:10.3744775Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_int64 (__main__.TestForeachCPU) ... ok (2.790s)
2023-01-11T21:04:10.3745111Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_int8 (__main__.TestForeachCPU) ... ok (2.810s)
2023-01-11T21:04:10.3745450Z   test_pointwise_op_fastpath__foreach_addcmul_cpu_uint8 (__main__.TestForeachCPU) ... ok (2.810s)
2023-01-11T21:04:10.3745782Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_complex128 (__main__.TestForeachCPU) ... ok (2.193s)
2023-01-11T21:04:10.3746131Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_complex64 (__main__.TestForeachCPU) ... ok (2.207s)
2023-01-11T21:04:10.3746476Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_float32 (__main__.TestForeachCPU) ... ok (1.926s)
2023-01-11T21:04:10.3746817Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_float64 (__main__.TestForeachCPU) ... ok (1.914s)
2023-01-11T21:04:10.3747143Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_int16 (__main__.TestForeachCPU) ... ok (2.622s)
2023-01-11T21:04:10.3747480Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_int32 (__main__.TestForeachCPU) ... ok (2.623s)
2023-01-11T21:04:10.3747846Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_int64 (__main__.TestForeachCPU) ... ok (2.633s)
2023-01-11T21:04:10.3748208Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_int8 (__main__.TestForeachCPU) ... ok (2.627s)
2023-01-11T21:04:10.3748543Z   test_pointwise_op_slowpath__foreach_addcdiv_cpu_uint8 (__main__.TestForeachCPU) ... ok (2.649s)
2023-01-11T21:04:10.3748887Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_complex128 (__main__.TestForeachCPU) ... ok (2.082s)
2023-01-11T21:04:10.3749236Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_complex64 (__main__.TestForeachCPU) ... ok (2.097s)
2023-01-11T21:04:10.3749568Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_float32 (__main__.TestForeachCPU) ... ok (1.834s)
2023-01-11T21:04:10.3749912Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_float64 (__main__.TestForeachCPU) ... ok (1.798s)
2023-01-11T21:04:10.3750252Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_int16 (__main__.TestForeachCPU) ... ok (1.729s)
2023-01-11T21:04:10.3750589Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_int32 (__main__.TestForeachCPU) ... ok (1.720s)
2023-01-11T21:04:10.3750907Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_int64 (__main__.TestForeachCPU) ... ok (1.712s)
2023-01-11T21:04:10.3751241Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_int8 (__main__.TestForeachCPU) ... ok (1.720s)
2023-01-11T21:04:10.3751572Z   test_pointwise_op_slowpath__foreach_addcmul_cpu_uint8 (__main__.TestForeachCPU) ... ok (1.722s)
2023-01-11T21:04:10.3751941Z   test_pointwise_op_tensors_on_different_devices__foreach_addcdiv_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3752367Z   test_pointwise_op_tensors_on_different_devices__foreach_addcdiv_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3752784Z   test_pointwise_op_tensors_on_different_devices__foreach_addcmul_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3753264Z   test_pointwise_op_tensors_on_different_devices__foreach_addcmul_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3753617Z   test_reduce_fastpath__foreach_norm_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3753951Z   test_reduce_fastpath__foreach_norm_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.023s)
2023-01-11T21:04:10.3754280Z   test_reduce_fastpath__foreach_norm_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3754605Z   test_reduce_fastpath__foreach_norm_cpu_float16 (__main__.TestForeachCPU) ... ok (0.024s)
2023-01-11T21:04:10.3754913Z   test_reduce_fastpath__foreach_norm_cpu_float32 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3755234Z   test_reduce_fastpath__foreach_norm_cpu_float64 (__main__.TestForeachCPU) ... ok (0.021s)
2023-01-11T21:04:10.3755551Z   test_reduce_slowpath__foreach_norm_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3755878Z   test_reduce_slowpath__foreach_norm_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.039s)
2023-01-11T21:04:10.3756195Z   test_reduce_slowpath__foreach_norm_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3756518Z   test_reduce_slowpath__foreach_norm_cpu_float16 (__main__.TestForeachCPU) ... ok (0.040s)
2023-01-11T21:04:10.3756839Z   test_reduce_slowpath__foreach_norm_cpu_float32 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3757142Z   test_reduce_slowpath__foreach_norm_cpu_float64 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3757455Z   test_unary_fastpath__foreach_abs_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3757778Z   test_unary_fastpath__foreach_abs_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3758103Z   test_unary_fastpath__foreach_abs_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3758449Z   test_unary_fastpath__foreach_abs_cpu_float16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3758770Z   test_unary_fastpath__foreach_abs_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3759122Z   test_unary_fastpath__foreach_abs_cpu_float64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3759424Z   test_unary_fastpath__foreach_abs_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3759737Z   test_unary_fastpath__foreach_abs_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3760045Z   test_unary_fastpath__foreach_abs_cpu_int64 (__main__.TestForeachCPU) ... ok (0.005s)
2023-01-11T21:04:10.3760358Z   test_unary_fastpath__foreach_abs_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3760660Z   test_unary_fastpath__foreach_abs_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3760984Z   test_unary_fastpath__foreach_acos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3761314Z   test_unary_fastpath__foreach_acos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3761642Z   test_unary_fastpath__foreach_acos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.052s)
2023-01-11T21:04:10.3761947Z   test_unary_fastpath__foreach_acos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3762264Z   test_unary_fastpath__foreach_asin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3762589Z   test_unary_fastpath__foreach_asin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3762896Z   test_unary_fastpath__foreach_asin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3763209Z   test_unary_fastpath__foreach_asin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3763689Z   test_unary_fastpath__foreach_atan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3764018Z   test_unary_fastpath__foreach_atan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3764326Z   test_unary_fastpath__foreach_atan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3764645Z   test_unary_fastpath__foreach_atan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3764963Z   test_unary_fastpath__foreach_ceil_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3765273Z   test_unary_fastpath__foreach_ceil_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3765589Z   test_unary_fastpath__foreach_ceil_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3765906Z   test_unary_fastpath__foreach_ceil_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3766218Z   test_unary_fastpath__foreach_ceil_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3766513Z   test_unary_fastpath__foreach_ceil_cpu_int64 (__main__.TestForeachCPU) ... ok (0.005s)
2023-01-11T21:04:10.3766830Z   test_unary_fastpath__foreach_ceil_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3767138Z   test_unary_fastpath__foreach_ceil_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3767479Z   test_unary_fastpath__foreach_cos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3767800Z   test_unary_fastpath__foreach_cos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3768118Z   test_unary_fastpath__foreach_cos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3768435Z   test_unary_fastpath__foreach_cos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3768742Z   test_unary_fastpath__foreach_cosh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3769064Z   test_unary_fastpath__foreach_cosh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3769379Z   test_unary_fastpath__foreach_cosh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3769771Z   test_unary_fastpath__foreach_cosh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3770115Z   test_unary_fastpath__foreach_erf_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3770433Z   test_unary_fastpath__foreach_erf_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3770748Z   test_unary_fastpath__foreach_erf_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3771054Z   test_unary_fastpath__foreach_erfc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3771374Z   test_unary_fastpath__foreach_erfc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3771692Z   test_unary_fastpath__foreach_erfc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3772011Z   test_unary_fastpath__foreach_exp_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3772325Z   test_unary_fastpath__foreach_exp_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3772641Z   test_unary_fastpath__foreach_exp_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3772959Z   test_unary_fastpath__foreach_exp_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3773264Z   test_unary_fastpath__foreach_expm1_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3773584Z   test_unary_fastpath__foreach_expm1_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3773899Z   test_unary_fastpath__foreach_expm1_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3774214Z   test_unary_fastpath__foreach_floor_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3774518Z   test_unary_fastpath__foreach_floor_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3774833Z   test_unary_fastpath__foreach_floor_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3775145Z   test_unary_fastpath__foreach_floor_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3775458Z   test_unary_fastpath__foreach_floor_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3775755Z   test_unary_fastpath__foreach_floor_cpu_int64 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3776070Z   test_unary_fastpath__foreach_floor_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3776382Z   test_unary_fastpath__foreach_floor_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3776683Z   test_unary_fastpath__foreach_frac_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3776999Z   test_unary_fastpath__foreach_frac_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3777322Z   test_unary_fastpath__foreach_frac_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3777651Z   test_unary_fastpath__foreach_log10_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3777960Z   test_unary_fastpath__foreach_log10_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3778279Z   test_unary_fastpath__foreach_log10_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3778594Z   test_unary_fastpath__foreach_log10_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3778898Z   test_unary_fastpath__foreach_log1p_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3779226Z   test_unary_fastpath__foreach_log1p_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3779550Z   test_unary_fastpath__foreach_log1p_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3779868Z   test_unary_fastpath__foreach_log1p_cpu_float32 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3780173Z   test_unary_fastpath__foreach_log1p_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3780531Z   test_unary_fastpath__foreach_log2_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3780888Z   test_unary_fastpath__foreach_log2_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3781195Z   test_unary_fastpath__foreach_log2_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3781511Z   test_unary_fastpath__foreach_log2_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3781828Z   test_unary_fastpath__foreach_log_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3782151Z   test_unary_fastpath__foreach_log_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3782473Z   test_unary_fastpath__foreach_log_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3782791Z   test_unary_fastpath__foreach_log_cpu_float64 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3783117Z   test_unary_fastpath__foreach_neg_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3783443Z   test_unary_fastpath__foreach_neg_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3783756Z   test_unary_fastpath__foreach_neg_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3784070Z   test_unary_fastpath__foreach_neg_cpu_float64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3784384Z   test_unary_fastpath__foreach_neg_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3784682Z   test_unary_fastpath__foreach_neg_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3784994Z   test_unary_fastpath__foreach_neg_cpu_int64 (__main__.TestForeachCPU) ... ok (0.005s)
2023-01-11T21:04:10.3785309Z   test_unary_fastpath__foreach_neg_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3785617Z   test_unary_fastpath__foreach_neg_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3785930Z   test_unary_fastpath__foreach_reciprocal_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3786270Z   test_unary_fastpath__foreach_reciprocal_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3786602Z   test_unary_fastpath__foreach_reciprocal_cpu_float64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3786916Z   test_unary_fastpath__foreach_round_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3787238Z   test_unary_fastpath__foreach_round_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3787555Z   test_unary_fastpath__foreach_round_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3787872Z   test_unary_fastpath__foreach_round_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3788173Z   test_unary_fastpath__foreach_round_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3788487Z   test_unary_fastpath__foreach_round_cpu_int64 (__main__.TestForeachCPU) ... ok (0.005s)
2023-01-11T21:04:10.3788801Z   test_unary_fastpath__foreach_round_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3789114Z   test_unary_fastpath__foreach_round_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3789427Z   test_unary_fastpath__foreach_sigmoid_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3789752Z   test_unary_fastpath__foreach_sigmoid_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3790074Z   test_unary_fastpath__foreach_sigmoid_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3790382Z   test_unary_fastpath__foreach_sin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3790702Z   test_unary_fastpath__foreach_sin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3791020Z   test_unary_fastpath__foreach_sin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3791373Z   test_unary_fastpath__foreach_sin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3791679Z   test_unary_fastpath__foreach_sinh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3792033Z   test_unary_fastpath__foreach_sinh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3792356Z   test_unary_fastpath__foreach_sinh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3792660Z   test_unary_fastpath__foreach_sinh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3793072Z   test_unary_fastpath__foreach_sqrt_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3793396Z   test_unary_fastpath__foreach_sqrt_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3793717Z   test_unary_fastpath__foreach_sqrt_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3794021Z   test_unary_fastpath__foreach_sqrt_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3794334Z   test_unary_fastpath__foreach_sqrt_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3794656Z   test_unary_fastpath__foreach_tan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3794963Z   test_unary_fastpath__foreach_tan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3795283Z   test_unary_fastpath__foreach_tan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.011s)
2023-01-11T21:04:10.3795600Z   test_unary_fastpath__foreach_tan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3795918Z   test_unary_fastpath__foreach_tanh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3796232Z   test_unary_fastpath__foreach_tanh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3796645Z   test_unary_fastpath__foreach_tanh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3796972Z   test_unary_fastpath__foreach_tanh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3797286Z   test_unary_fastpath__foreach_trunc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3797594Z   test_unary_fastpath__foreach_trunc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3797910Z   test_unary_fastpath__foreach_trunc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3798221Z   test_unary_fastpath__foreach_trunc_cpu_int16 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3798521Z   test_unary_fastpath__foreach_trunc_cpu_int32 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3798831Z   test_unary_fastpath__foreach_trunc_cpu_int64 (__main__.TestForeachCPU) ... ok (0.005s)
2023-01-11T21:04:10.3799141Z   test_unary_fastpath__foreach_trunc_cpu_int8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3799452Z   test_unary_fastpath__foreach_trunc_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.006s)
2023-01-11T21:04:10.3799806Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3800216Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3815423Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3815869Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3816266Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3816668Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3817232Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3817679Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3818063Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3818456Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3818855Z   test_unary_op_tensors_on_different_devices__foreach_abs_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3819257Z   test_unary_op_tensors_on_different_devices__foreach_acos_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3819653Z   test_unary_op_tensors_on_different_devices__foreach_acos_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3820064Z   test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3820466Z   test_unary_op_tensors_on_different_devices__foreach_acos_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3820868Z   test_unary_op_tensors_on_different_devices__foreach_asin_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3821264Z   test_unary_op_tensors_on_different_devices__foreach_asin_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3821666Z   test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3822060Z   test_unary_op_tensors_on_different_devices__foreach_asin_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3822463Z   test_unary_op_tensors_on_different_devices__foreach_atan_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3822857Z   test_unary_op_tensors_on_different_devices__foreach_atan_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3823261Z   test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3823659Z   test_unary_op_tensors_on_different_devices__foreach_atan_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3824058Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3824443Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3824835Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3825233Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3825630Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3826010Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3826401Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3826793Z   test_unary_op_tensors_on_different_devices__foreach_ceil_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3827231Z   test_unary_op_tensors_on_different_devices__foreach_cos_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3827655Z   test_unary_op_tensors_on_different_devices__foreach_cos_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3828061Z   test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3828455Z   test_unary_op_tensors_on_different_devices__foreach_cos_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3828858Z   test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3829251Z   test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3829650Z   test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3830046Z   test_unary_op_tensors_on_different_devices__foreach_cosh_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3830440Z   test_unary_op_tensors_on_different_devices__foreach_erf_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3830832Z   test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3831208Z   test_unary_op_tensors_on_different_devices__foreach_erf_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3831606Z   test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3832002Z   test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3832395Z   test_unary_op_tensors_on_different_devices__foreach_erfc_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3832782Z   test_unary_op_tensors_on_different_devices__foreach_exp_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3833288Z   test_unary_op_tensors_on_different_devices__foreach_exp_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3833691Z   test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3834087Z   test_unary_op_tensors_on_different_devices__foreach_exp_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3834474Z   test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3834880Z   test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3835283Z   test_unary_op_tensors_on_different_devices__foreach_expm1_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3835688Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3836081Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3836477Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3836873Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3837304Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3837716Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3838116Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3838510Z   test_unary_op_tensors_on_different_devices__foreach_floor_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3838907Z   test_unary_op_tensors_on_different_devices__foreach_frac_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3839293Z   test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3839684Z   test_unary_op_tensors_on_different_devices__foreach_frac_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3840087Z   test_unary_op_tensors_on_different_devices__foreach_log10_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3840493Z   test_unary_op_tensors_on_different_devices__foreach_log10_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3840885Z   test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3841284Z   test_unary_op_tensors_on_different_devices__foreach_log10_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3841685Z   test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3842090Z   test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3842698Z   test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3843104Z   test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3843679Z   test_unary_op_tensors_on_different_devices__foreach_log1p_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3844087Z   test_unary_op_tensors_on_different_devices__foreach_log2_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3844479Z   test_unary_op_tensors_on_different_devices__foreach_log2_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3844884Z   test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3845283Z   test_unary_op_tensors_on_different_devices__foreach_log2_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3845684Z   test_unary_op_tensors_on_different_devices__foreach_log_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3846072Z   test_unary_op_tensors_on_different_devices__foreach_log_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3846479Z   test_unary_op_tensors_on_different_devices__foreach_log_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3846875Z   test_unary_op_tensors_on_different_devices__foreach_log_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3847278Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3847766Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3848211Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3848609Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3849008Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3849386Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3849771Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3850163Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3850562Z   test_unary_op_tensors_on_different_devices__foreach_neg_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3850960Z   test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3851380Z   test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3851798Z   test_unary_op_tensors_on_different_devices__foreach_reciprocal_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3852207Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3852599Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3853004Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3853405Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3853801Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3854181Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3854574Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3854965Z   test_unary_op_tensors_on_different_devices__foreach_round_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3855369Z   test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3855778Z   test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3856172Z   test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3856580Z   test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3856979Z   test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3857384Z   test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3857796Z   test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3858225Z   test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3858630Z   test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3859029Z   test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3859409Z   test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3859805Z   test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3860206Z   test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3860613Z   test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3861000Z   test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3861391Z   test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3861786Z   test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3862192Z   test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3862580Z   test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3862973Z   test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3863378Z   test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex128 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3863783Z   test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3864170Z   test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3864565Z   test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3864959Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3865361Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3865750Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3866146Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3866540Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3866931Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3867312Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3867708Z   test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8 (__main__.TestForeachCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:04:10.3868103Z   test_unary_slowpath__foreach_abs_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3868455Z   test_unary_slowpath__foreach_abs_cpu_bool (__main__.TestForeachCPU) ... ok (0.041s)
2023-01-11T21:04:10.3868768Z   test_unary_slowpath__foreach_abs_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.021s)
2023-01-11T21:04:10.3869095Z   test_unary_slowpath__foreach_abs_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.022s)
2023-01-11T21:04:10.3869416Z   test_unary_slowpath__foreach_abs_cpu_float16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3869721Z   test_unary_slowpath__foreach_abs_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3870043Z   test_unary_slowpath__foreach_abs_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3870359Z   test_unary_slowpath__foreach_abs_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3870676Z   test_unary_slowpath__foreach_abs_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3870979Z   test_unary_slowpath__foreach_abs_cpu_int64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3871288Z   test_unary_slowpath__foreach_abs_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3871599Z   test_unary_slowpath__foreach_abs_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3871902Z   test_unary_slowpath__foreach_acos_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3872217Z   test_unary_slowpath__foreach_acos_cpu_bool (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3872537Z   test_unary_slowpath__foreach_acos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3872864Z   test_unary_slowpath__foreach_acos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.020s)
2023-01-11T21:04:10.3873272Z   test_unary_slowpath__foreach_acos_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3873597Z   test_unary_slowpath__foreach_acos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3873916Z   test_unary_slowpath__foreach_acos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3874236Z   test_unary_slowpath__foreach_acos_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3874535Z   test_unary_slowpath__foreach_acos_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3874850Z   test_unary_slowpath__foreach_acos_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3875164Z   test_unary_slowpath__foreach_acos_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3875464Z   test_unary_slowpath__foreach_acos_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3875781Z   test_unary_slowpath__foreach_asin_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3876106Z   test_unary_slowpath__foreach_asin_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3876429Z   test_unary_slowpath__foreach_asin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3876743Z   test_unary_slowpath__foreach_asin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.019s)
2023-01-11T21:04:10.3877103Z   test_unary_slowpath__foreach_asin_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3877465Z   test_unary_slowpath__foreach_asin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3877769Z   test_unary_slowpath__foreach_asin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3878083Z   test_unary_slowpath__foreach_asin_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3878394Z   test_unary_slowpath__foreach_asin_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3878707Z   test_unary_slowpath__foreach_asin_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3879053Z   test_unary_slowpath__foreach_asin_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3879396Z   test_unary_slowpath__foreach_asin_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3879731Z   test_unary_slowpath__foreach_atan_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3880036Z   test_unary_slowpath__foreach_atan_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3880358Z   test_unary_slowpath__foreach_atan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3880685Z   test_unary_slowpath__foreach_atan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3881007Z   test_unary_slowpath__foreach_atan_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3881311Z   test_unary_slowpath__foreach_atan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3881626Z   test_unary_slowpath__foreach_atan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3881941Z   test_unary_slowpath__foreach_atan_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3882255Z   test_unary_slowpath__foreach_atan_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3882554Z   test_unary_slowpath__foreach_atan_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3882865Z   test_unary_slowpath__foreach_atan_cpu_int8 (__main__.TestForeachCPU) ... ok (0.031s)
2023-01-11T21:04:10.3883178Z   test_unary_slowpath__foreach_atan_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.029s)
2023-01-11T21:04:10.3883736Z   test_unary_slowpath__foreach_ceil_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3884062Z   test_unary_slowpath__foreach_ceil_cpu_bool (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3884420Z   test_unary_slowpath__foreach_ceil_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3884746Z   test_unary_slowpath__foreach_ceil_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3885057Z   test_unary_slowpath__foreach_ceil_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3885377Z   test_unary_slowpath__foreach_ceil_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3885695Z   test_unary_slowpath__foreach_ceil_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3885998Z   test_unary_slowpath__foreach_ceil_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3886313Z   test_unary_slowpath__foreach_ceil_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3886629Z   test_unary_slowpath__foreach_ceil_cpu_int64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3886942Z   test_unary_slowpath__foreach_ceil_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3887241Z   test_unary_slowpath__foreach_ceil_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3887555Z   test_unary_slowpath__foreach_cos_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3887983Z   test_unary_slowpath__foreach_cos_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3888390Z   test_unary_slowpath__foreach_cos_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3888716Z   test_unary_slowpath__foreach_cos_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3889034Z   test_unary_slowpath__foreach_cos_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3889349Z   test_unary_slowpath__foreach_cos_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3889650Z   test_unary_slowpath__foreach_cos_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3889963Z   test_unary_slowpath__foreach_cos_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3890275Z   test_unary_slowpath__foreach_cos_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3890686Z   test_unary_slowpath__foreach_cos_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3891031Z   test_unary_slowpath__foreach_cos_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3891344Z   test_unary_slowpath__foreach_cos_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3891664Z   test_unary_slowpath__foreach_cosh_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3891969Z   test_unary_slowpath__foreach_cosh_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3892289Z   test_unary_slowpath__foreach_cosh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3892614Z   test_unary_slowpath__foreach_cosh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3892937Z   test_unary_slowpath__foreach_cosh_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3893241Z   test_unary_slowpath__foreach_cosh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3893560Z   test_unary_slowpath__foreach_cosh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3893878Z   test_unary_slowpath__foreach_cosh_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3894177Z   test_unary_slowpath__foreach_cosh_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3894490Z   test_unary_slowpath__foreach_cosh_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3894803Z   test_unary_slowpath__foreach_cosh_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3895118Z   test_unary_slowpath__foreach_cosh_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3895421Z   test_unary_slowpath__foreach_erf_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3895738Z   test_unary_slowpath__foreach_erf_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3896062Z   test_unary_slowpath__foreach_erf_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3896376Z   test_unary_slowpath__foreach_erf_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3896693Z   test_unary_slowpath__foreach_erf_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3897010Z   test_unary_slowpath__foreach_erf_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3897320Z   test_unary_slowpath__foreach_erf_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3897622Z   test_unary_slowpath__foreach_erf_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3897934Z   test_unary_slowpath__foreach_erf_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3898245Z   test_unary_slowpath__foreach_erf_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3898558Z   test_unary_slowpath__foreach_erf_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3898857Z   test_unary_slowpath__foreach_erf_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3899173Z   test_unary_slowpath__foreach_erfc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3899490Z   test_unary_slowpath__foreach_erfc_cpu_bool (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3899798Z   test_unary_slowpath__foreach_erfc_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3900124Z   test_unary_slowpath__foreach_erfc_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3900443Z   test_unary_slowpath__foreach_erfc_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3900762Z   test_unary_slowpath__foreach_erfc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3901068Z   test_unary_slowpath__foreach_erfc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3901423Z   test_unary_slowpath__foreach_erfc_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3901737Z   test_unary_slowpath__foreach_erfc_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3902065Z   test_unary_slowpath__foreach_erfc_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3902381Z   test_unary_slowpath__foreach_erfc_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3902696Z   test_unary_slowpath__foreach_erfc_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3903009Z   test_unary_slowpath__foreach_exp_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3903312Z   test_unary_slowpath__foreach_exp_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3903632Z   test_unary_slowpath__foreach_exp_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3903954Z   test_unary_slowpath__foreach_exp_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3904267Z   test_unary_slowpath__foreach_exp_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3904583Z   test_unary_slowpath__foreach_exp_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3904900Z   test_unary_slowpath__foreach_exp_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3905214Z   test_unary_slowpath__foreach_exp_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3905514Z   test_unary_slowpath__foreach_exp_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3905823Z   test_unary_slowpath__foreach_exp_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3906134Z   test_unary_slowpath__foreach_exp_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3906433Z   test_unary_slowpath__foreach_exp_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3906751Z   test_unary_slowpath__foreach_expm1_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3907075Z   test_unary_slowpath__foreach_expm1_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3907403Z   test_unary_slowpath__foreach_expm1_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3907718Z   test_unary_slowpath__foreach_expm1_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3908041Z   test_unary_slowpath__foreach_expm1_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3908357Z   test_unary_slowpath__foreach_expm1_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3908671Z   test_unary_slowpath__foreach_expm1_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3908969Z   test_unary_slowpath__foreach_expm1_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3909284Z   test_unary_slowpath__foreach_expm1_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3909600Z   test_unary_slowpath__foreach_expm1_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3909901Z   test_unary_slowpath__foreach_expm1_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3910218Z   test_unary_slowpath__foreach_expm1_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3910540Z   test_unary_slowpath__foreach_floor_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3910857Z   test_unary_slowpath__foreach_floor_cpu_bool (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3911168Z   test_unary_slowpath__foreach_floor_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3911493Z   test_unary_slowpath__foreach_floor_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3911818Z   test_unary_slowpath__foreach_floor_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3912126Z   test_unary_slowpath__foreach_floor_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3912475Z   test_unary_slowpath__foreach_floor_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3912823Z   test_unary_slowpath__foreach_floor_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3913220Z   test_unary_slowpath__foreach_floor_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3913520Z   test_unary_slowpath__foreach_floor_cpu_int64 (__main__.TestForeachCPU) ... ok (0.008s)
2023-01-11T21:04:10.3913837Z   test_unary_slowpath__foreach_floor_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3914157Z   test_unary_slowpath__foreach_floor_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3914476Z   test_unary_slowpath__foreach_frac_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3914783Z   test_unary_slowpath__foreach_frac_cpu_bool (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3915108Z   test_unary_slowpath__foreach_frac_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3915442Z   test_unary_slowpath__foreach_frac_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3915754Z   test_unary_slowpath__foreach_frac_cpu_float16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3916074Z   test_unary_slowpath__foreach_frac_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3916392Z   test_unary_slowpath__foreach_frac_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3916709Z   test_unary_slowpath__foreach_frac_cpu_int16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3917010Z   test_unary_slowpath__foreach_frac_cpu_int32 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3917324Z   test_unary_slowpath__foreach_frac_cpu_int64 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3917635Z   test_unary_slowpath__foreach_frac_cpu_int8 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3917939Z   test_unary_slowpath__foreach_frac_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3918089Z   test_unary_slowpath__foreach_log10_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3918242Z   test_unary_slowpath__foreach_log10_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3918397Z   test_unary_slowpath__foreach_log10_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3918549Z   test_unary_slowpath__foreach_log10_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3918698Z   test_unary_slowpath__foreach_log10_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3918847Z   test_unary_slowpath__foreach_log10_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3918993Z   test_unary_slowpath__foreach_log10_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3919127Z   test_unary_slowpath__foreach_log10_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3919277Z   test_unary_slowpath__foreach_log10_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3919421Z   test_unary_slowpath__foreach_log10_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3919565Z   test_unary_slowpath__foreach_log10_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3919711Z   test_unary_slowpath__foreach_log10_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3919863Z   test_unary_slowpath__foreach_log1p_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3920009Z   test_unary_slowpath__foreach_log1p_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3920166Z   test_unary_slowpath__foreach_log1p_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3920319Z   test_unary_slowpath__foreach_log1p_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3920496Z   test_unary_slowpath__foreach_log1p_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3920644Z   test_unary_slowpath__foreach_log1p_cpu_float32 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3920824Z   test_unary_slowpath__foreach_log1p_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3920975Z   test_unary_slowpath__foreach_log1p_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3921121Z   test_unary_slowpath__foreach_log1p_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3921266Z   test_unary_slowpath__foreach_log1p_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3921412Z   test_unary_slowpath__foreach_log1p_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3921563Z   test_unary_slowpath__foreach_log1p_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3921698Z   test_unary_slowpath__foreach_log2_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3921846Z   test_unary_slowpath__foreach_log2_cpu_bool (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3922004Z   test_unary_slowpath__foreach_log2_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3922159Z   test_unary_slowpath__foreach_log2_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3922308Z   test_unary_slowpath__foreach_log2_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3922453Z   test_unary_slowpath__foreach_log2_cpu_float32 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3922599Z   test_unary_slowpath__foreach_log2_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3922747Z   test_unary_slowpath__foreach_log2_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3922891Z   test_unary_slowpath__foreach_log2_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3923023Z   test_unary_slowpath__foreach_log2_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3923172Z   test_unary_slowpath__foreach_log2_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3923318Z   test_unary_slowpath__foreach_log2_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3923647Z   test_unary_slowpath__foreach_log_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3923798Z   test_unary_slowpath__foreach_log_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3923953Z   test_unary_slowpath__foreach_log_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3924107Z   test_unary_slowpath__foreach_log_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3924256Z   test_unary_slowpath__foreach_log_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3924389Z   test_unary_slowpath__foreach_log_cpu_float32 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3924540Z   test_unary_slowpath__foreach_log_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3924688Z   test_unary_slowpath__foreach_log_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3924833Z   test_unary_slowpath__foreach_log_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3924980Z   test_unary_slowpath__foreach_log_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3925145Z   test_unary_slowpath__foreach_log_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3925293Z   test_unary_slowpath__foreach_log_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3925443Z   test_unary_slowpath__foreach_neg_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3925588Z   test_unary_slowpath__foreach_neg_cpu_bool (__main__.TestForeachCPU) ... ok (0.035s)
2023-01-11T21:04:10.3925728Z   test_unary_slowpath__foreach_neg_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3925943Z   test_unary_slowpath__foreach_neg_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3926091Z   test_unary_slowpath__foreach_neg_cpu_float16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3926283Z   test_unary_slowpath__foreach_neg_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3926429Z   test_unary_slowpath__foreach_neg_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3926576Z   test_unary_slowpath__foreach_neg_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3926721Z   test_unary_slowpath__foreach_neg_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3926868Z   test_unary_slowpath__foreach_neg_cpu_int64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3927001Z   test_unary_slowpath__foreach_neg_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3927149Z   test_unary_slowpath__foreach_neg_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3927312Z   test_unary_slowpath__foreach_reciprocal_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3927473Z   test_unary_slowpath__foreach_reciprocal_cpu_bool (__main__.TestForeachCPU) ... ok (0.024s)
2023-01-11T21:04:10.3927638Z   test_unary_slowpath__foreach_reciprocal_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3927802Z   test_unary_slowpath__foreach_reciprocal_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3927963Z   test_unary_slowpath__foreach_reciprocal_cpu_float16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3928124Z   test_unary_slowpath__foreach_reciprocal_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3928282Z   test_unary_slowpath__foreach_reciprocal_cpu_float64 (__main__.TestForeachCPU) ... ok (0.012s)
2023-01-11T21:04:10.3928426Z   test_unary_slowpath__foreach_reciprocal_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3928584Z   test_unary_slowpath__foreach_reciprocal_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3928743Z   test_unary_slowpath__foreach_reciprocal_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3928901Z   test_unary_slowpath__foreach_reciprocal_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3929053Z   test_unary_slowpath__foreach_reciprocal_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3929205Z   test_unary_slowpath__foreach_round_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3929355Z   test_unary_slowpath__foreach_round_cpu_bool (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3929508Z   test_unary_slowpath__foreach_round_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3929647Z   test_unary_slowpath__foreach_round_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3929801Z   test_unary_slowpath__foreach_round_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3929953Z   test_unary_slowpath__foreach_round_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3930100Z   test_unary_slowpath__foreach_round_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3930252Z   test_unary_slowpath__foreach_round_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3930398Z   test_unary_slowpath__foreach_round_cpu_int32 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3930546Z   test_unary_slowpath__foreach_round_cpu_int64 (__main__.TestForeachCPU) ... ok (0.008s)
2023-01-11T21:04:10.3930692Z   test_unary_slowpath__foreach_round_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3930838Z   test_unary_slowpath__foreach_round_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3930978Z   test_unary_slowpath__foreach_sigmoid_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3931162Z   test_unary_slowpath__foreach_sigmoid_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3931350Z   test_unary_slowpath__foreach_sigmoid_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.015s)
2023-01-11T21:04:10.3931509Z   test_unary_slowpath__foreach_sigmoid_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3931661Z   test_unary_slowpath__foreach_sigmoid_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3931813Z   test_unary_slowpath__foreach_sigmoid_cpu_float32 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3931964Z   test_unary_slowpath__foreach_sigmoid_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3932114Z   test_unary_slowpath__foreach_sigmoid_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3932250Z   test_unary_slowpath__foreach_sigmoid_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3932399Z   test_unary_slowpath__foreach_sigmoid_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3932549Z   test_unary_slowpath__foreach_sigmoid_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3932698Z   test_unary_slowpath__foreach_sigmoid_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3932846Z   test_unary_slowpath__foreach_sin_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3932996Z   test_unary_slowpath__foreach_sin_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3933149Z   test_unary_slowpath__foreach_sin_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3933295Z   test_unary_slowpath__foreach_sin_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3933442Z   test_unary_slowpath__foreach_sin_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3933577Z   test_unary_slowpath__foreach_sin_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3933727Z   test_unary_slowpath__foreach_sin_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3933873Z   test_unary_slowpath__foreach_sin_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3934019Z   test_unary_slowpath__foreach_sin_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3934163Z   test_unary_slowpath__foreach_sin_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3934307Z   test_unary_slowpath__foreach_sin_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3934451Z   test_unary_slowpath__foreach_sin_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3934600Z   test_unary_slowpath__foreach_sinh_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3934732Z   test_unary_slowpath__foreach_sinh_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3934888Z   test_unary_slowpath__foreach_sinh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3935041Z   test_unary_slowpath__foreach_sinh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3935191Z   test_unary_slowpath__foreach_sinh_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3935338Z   test_unary_slowpath__foreach_sinh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3935482Z   test_unary_slowpath__foreach_sinh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3935631Z   test_unary_slowpath__foreach_sinh_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3935778Z   test_unary_slowpath__foreach_sinh_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3935912Z   test_unary_slowpath__foreach_sinh_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3936061Z   test_unary_slowpath__foreach_sinh_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3936240Z   test_unary_slowpath__foreach_sinh_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3936391Z   test_unary_slowpath__foreach_sqrt_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3936563Z   test_unary_slowpath__foreach_sqrt_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3936718Z   test_unary_slowpath__foreach_sqrt_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.016s)
2023-01-11T21:04:10.3936871Z   test_unary_slowpath__foreach_sqrt_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3937017Z   test_unary_slowpath__foreach_sqrt_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3937164Z   test_unary_slowpath__foreach_sqrt_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3937300Z   test_unary_slowpath__foreach_sqrt_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3937445Z   test_unary_slowpath__foreach_sqrt_cpu_int16 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3937593Z   test_unary_slowpath__foreach_sqrt_cpu_int32 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3937733Z   test_unary_slowpath__foreach_sqrt_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3937880Z   test_unary_slowpath__foreach_sqrt_cpu_int8 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3938026Z   test_unary_slowpath__foreach_sqrt_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3938174Z   test_unary_slowpath__foreach_tan_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3938321Z   test_unary_slowpath__foreach_tan_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3938459Z   test_unary_slowpath__foreach_tan_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3938612Z   test_unary_slowpath__foreach_tan_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3938758Z   test_unary_slowpath__foreach_tan_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3938908Z   test_unary_slowpath__foreach_tan_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3939059Z   test_unary_slowpath__foreach_tan_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3939202Z   test_unary_slowpath__foreach_tan_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3939346Z   test_unary_slowpath__foreach_tan_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3939490Z   test_unary_slowpath__foreach_tan_cpu_int64 (__main__.TestForeachCPU) ... ok (0.026s)
2023-01-11T21:04:10.3939635Z   test_unary_slowpath__foreach_tan_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3939767Z   test_unary_slowpath__foreach_tan_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3939917Z   test_unary_slowpath__foreach_tanh_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3940062Z   test_unary_slowpath__foreach_tanh_cpu_bool (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3940217Z   test_unary_slowpath__foreach_tanh_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.017s)
2023-01-11T21:04:10.3940372Z   test_unary_slowpath__foreach_tanh_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.018s)
2023-01-11T21:04:10.3940521Z   test_unary_slowpath__foreach_tanh_cpu_float16 (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3940665Z   test_unary_slowpath__foreach_tanh_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3940813Z   test_unary_slowpath__foreach_tanh_cpu_float64 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3940946Z   test_unary_slowpath__foreach_tanh_cpu_int16 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3941094Z   test_unary_slowpath__foreach_tanh_cpu_int32 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3941241Z   test_unary_slowpath__foreach_tanh_cpu_int64 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3941433Z   test_unary_slowpath__foreach_tanh_cpu_int8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3941578Z   test_unary_slowpath__foreach_tanh_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.025s)
2023-01-11T21:04:10.3941758Z   test_unary_slowpath__foreach_trunc_cpu_bfloat16 (__main__.TestForeachCPU) ... ok (0.013s)
2023-01-11T21:04:10.3941907Z   test_unary_slowpath__foreach_trunc_cpu_bool (__main__.TestForeachCPU) ... ok (0.037s)
2023-01-11T21:04:10.3942064Z   test_unary_slowpath__foreach_trunc_cpu_complex128 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3942220Z   test_unary_slowpath__foreach_trunc_cpu_complex64 (__main__.TestForeachCPU) ... ok (0.036s)
2023-01-11T21:04:10.3942357Z   test_unary_slowpath__foreach_trunc_cpu_float16 (__main__.TestForeachCPU) ... ok (0.038s)
2023-01-11T21:04:10.3942505Z   test_unary_slowpath__foreach_trunc_cpu_float32 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3942653Z   test_unary_slowpath__foreach_trunc_cpu_float64 (__main__.TestForeachCPU) ... ok (0.014s)
2023-01-11T21:04:10.3942802Z   test_unary_slowpath__foreach_trunc_cpu_int16 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3942950Z   test_unary_slowpath__foreach_trunc_cpu_int32 (__main__.TestForeachCPU) ... ok (0.010s)
2023-01-11T21:04:10.3943096Z   test_unary_slowpath__foreach_trunc_cpu_int64 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3943241Z   test_unary_slowpath__foreach_trunc_cpu_int8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3943388Z   test_unary_slowpath__foreach_trunc_cpu_uint8 (__main__.TestForeachCPU) ... ok (0.009s)
2023-01-11T21:04:10.3943397Z 
2023-01-11T21:04:10.3943674Z ----------------------------------------------------------------------
2023-01-11T21:04:10.3943753Z Ran 1186 tests in 133.642s
2023-01-11T21:04:10.3943758Z 
2023-01-11T21:04:10.3943832Z OK (skipped=234)
2023-01-11T21:04:10.3943837Z 
2023-01-11T21:04:10.3943922Z Generating XML reports...
2023-01-11T21:04:10.3944230Z Generated XML report: test-reports/python-unittest/test_foreach/TEST-TestForeachCPU-20230111210156.xml
2023-01-11T21:04:10.3944235Z 
2023-01-11T21:04:10.3944689Z ##[endgroup]
2023-01-11T21:04:10.3944974Z FINISHED PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_29ayicun)
2023-01-11T21:04:10.3944980Z 
2023-01-11T21:04:12.1698888Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:04:12.3132035Z Ignoring disabled issues:  []
2023-01-11T21:04:12.3280236Z Running test_sparse ... [2023-01-11 21:04:12.327659]
2023-01-11T21:04:12.3281063Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:04:12.327896]
2023-01-11T21:05:21.9879938Z 
2023-01-11T21:05:21.9880474Z Expand the folded group to see the log file of test_proxy_tensor
2023-01-11T21:05:21.9881551Z ##[group]PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_cxcdolus)
2023-01-11T21:05:21.9885447Z Test results will be stored in test-reports/python-unittest/test_proxy_tensor
2023-01-11T21:05:21.9885780Z 
2023-01-11T21:05:21.9885901Z Running tests...
2023-01-11T21:05:21.9886542Z ----------------------------------------------------------------------
2023-01-11T21:05:21.9887122Z   test_alias (__main__.TestFakeProxyTensor) ... ok (0.256s)
2023-01-11T21:05:21.9964076Z   test_issue82547 (__main__.TestFakeProxyTensor) ... ok (0.036s)
2023-01-11T21:05:21.9964553Z   test_meta (__main__.TestFakeProxyTensor) ... ok (0.011s)
2023-01-11T21:05:21.9965099Z   test_use_fake_and_tensor (__main__.TestFakeProxyTensor) ... ok (0.014s)
2023-01-11T21:05:21.9965452Z   test_allclose (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2023-01-11T21:05:21.9965901Z   test_amp_cache (__main__.TestGenericProxyTensorFake) ... skip: CUDA-only test (0.001s)
2023-01-11T21:05:21.9966244Z   test_constant_blowup (__main__.TestGenericProxyTensorFake) ... ok (0.010s)
2023-01-11T21:05:21.9966937Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorFake) ... ok (0.015s)
2023-01-11T21:05:21.9967488Z   test_constant_random (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2023-01-11T21:05:21.9968102Z   test_constant_unbind (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2023-01-11T21:05:21.9968753Z   test_decomp_of_capture (__main__.TestGenericProxyTensorFake) ... ok (0.022s)
2023-01-11T21:05:21.9969383Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorFake) ... ok (0.020s)
2023-01-11T21:05:21.9969903Z   test_inplace_metadata (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2023-01-11T21:05:21.9970256Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorFake) ... ok (0.226s)
2023-01-11T21:05:21.9970800Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorFake) ... ok (0.059s)
2023-01-11T21:05:21.9971439Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorFake) ... ok (0.066s)
2023-01-11T21:05:21.9971779Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorFake) ... ok (0.045s)
2023-01-11T21:05:21.9972121Z   test_make_fx_overloads (__main__.TestGenericProxyTensorFake) ... ok (0.010s)
2023-01-11T21:05:21.9972450Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2023-01-11T21:05:21.9972784Z   test_make_fx_simple (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2023-01-11T21:05:21.9973100Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2023-01-11T21:05:21.9973459Z   test_partial_decomp (__main__.TestGenericProxyTensorFake) ... ok (0.078s)
2023-01-11T21:05:21.9974137Z   test_pickle_issue89626 (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2023-01-11T21:05:21.9974696Z   test_pr_86917 (__main__.TestGenericProxyTensorFake) ... ok (0.024s)
2023-01-11T21:05:21.9975266Z   test_proxy_tensor (__main__.TestGenericProxyTensorFake) ... ok (0.034s)
2023-01-11T21:05:21.9975927Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.018s)
2023-01-11T21:05:21.9976485Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorFake) ... ok (2.634s)
2023-01-11T21:05:21.9976797Z   test_scalar_device (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2023-01-11T21:05:21.9977102Z   test_strides (__main__.TestGenericProxyTensorFake) ... ok (0.065s)
2023-01-11T21:05:21.9977410Z   test_tensor_constants (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2023-01-11T21:05:21.9977716Z   test_trace_subclasses (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2023-01-11T21:05:21.9978041Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2023-01-11T21:05:21.9978353Z   test_varargs (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2023-01-11T21:05:21.9978657Z   test_allclose (__main__.TestGenericProxyTensorReal) ... ok (0.008s)
2023-01-11T21:05:21.9979260Z   test_amp_cache (__main__.TestGenericProxyTensorReal) ... skip: CUDA-only test (0.001s)
2023-01-11T21:05:21.9979829Z   test_constant_blowup (__main__.TestGenericProxyTensorReal) ... ok (0.020s)
2023-01-11T21:05:21.9980401Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorReal) ... ok (0.020s)
2023-01-11T21:05:21.9980960Z   test_constant_random (__main__.TestGenericProxyTensorReal) ... ok (0.015s)
2023-01-11T21:05:21.9981552Z   test_constant_unbind (__main__.TestGenericProxyTensorReal) ... ok (0.015s)
2023-01-11T21:05:21.9982022Z   test_decomp_of_capture (__main__.TestGenericProxyTensorReal) ... ok (0.021s)
2023-01-11T21:05:21.9982614Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorReal) ... ok (0.025s)
2023-01-11T21:05:21.9983147Z   test_inplace_metadata (__main__.TestGenericProxyTensorReal) ... ok (0.019s)
2023-01-11T21:05:21.9983654Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorReal) ... ok (0.224s)
2023-01-11T21:05:21.9984224Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorReal) ... ok (0.056s)
2023-01-11T21:05:21.9984823Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorReal) ... ok (0.210s)
2023-01-11T21:05:21.9985559Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorReal) ... ok (0.236s)
2023-01-11T21:05:21.9986235Z   test_make_fx_overloads (__main__.TestGenericProxyTensorReal) ... ok (0.024s)
2023-01-11T21:05:21.9986857Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorReal) ... ok (0.020s)
2023-01-11T21:05:21.9987291Z   test_make_fx_simple (__main__.TestGenericProxyTensorReal) ... ok (0.012s)
2023-01-11T21:05:21.9987623Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorReal) ... ok (0.017s)
2023-01-11T21:05:21.9987952Z   test_partial_decomp (__main__.TestGenericProxyTensorReal) ... ok (0.075s)
2023-01-11T21:05:21.9988253Z   test_pickle_issue89626 (__main__.TestGenericProxyTensorReal) ... ok (0.012s)
2023-01-11T21:05:21.9988656Z   test_pr_86917 (__main__.TestGenericProxyTensorReal) ... ok (0.021s)
2023-01-11T21:05:21.9988955Z   test_proxy_tensor (__main__.TestGenericProxyTensorReal) ... ok (0.206s)
2023-01-11T21:05:21.9989312Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.017s)
2023-01-11T21:05:21.9989662Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorReal) ... ok (5.818s)
2023-01-11T21:05:21.9989983Z   test_scalar_device (__main__.TestGenericProxyTensorReal) ... ok (0.017s)
2023-01-11T21:05:21.9990286Z   test_strides (__main__.TestGenericProxyTensorReal) ... ok (0.060s)
2023-01-11T21:05:21.9990580Z   test_tensor_constants (__main__.TestGenericProxyTensorReal) ... ok (0.013s)
2023-01-11T21:05:21.9990895Z   test_trace_subclasses (__main__.TestGenericProxyTensorReal) ... ok (0.028s)
2023-01-11T21:05:21.9991216Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorReal) ... ok (0.019s)
2023-01-11T21:05:21.9991592Z   test_varargs (__main__.TestGenericProxyTensorReal) ... ok (0.022s)
2023-01-11T21:05:21.9991896Z   test_allclose (__main__.TestGenericProxyTensorSymbolic) ... ok (0.062s)
2023-01-11T21:05:21.9992335Z   test_amp_cache (__main__.TestGenericProxyTensorSymbolic) ... skip: CUDA-only test (0.001s)
2023-01-11T21:05:21.9992672Z   test_constant_blowup (__main__.TestGenericProxyTensorSymbolic) ... ok (0.018s)
2023-01-11T21:05:21.9993165Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s)
2023-01-11T21:05:21.9993515Z   test_constant_random (__main__.TestGenericProxyTensorSymbolic) ... ok (0.007s)
2023-01-11T21:05:21.9993837Z   test_constant_unbind (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s)
2023-01-11T21:05:21.9994177Z   test_decomp_of_capture (__main__.TestGenericProxyTensorSymbolic) ... ok (0.021s)
2023-01-11T21:05:21.9994525Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorSymbolic) ... ok (0.061s)
2023-01-11T21:05:21.9994879Z   test_inplace_metadata (__main__.TestGenericProxyTensorSymbolic) ... ok (0.017s)
2023-01-11T21:05:21.9995212Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorSymbolic) ... ok (0.222s)
2023-01-11T21:05:21.9995569Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorSymbolic) ... ok (0.056s)
2023-01-11T21:05:21.9995919Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorSymbolic) ... ok (0.186s)
2023-01-11T21:05:21.9996263Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorSymbolic) ... ok (0.207s)
2023-01-11T21:05:21.9996631Z   test_make_fx_overloads (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.030s)
2023-01-11T21:05:21.9996990Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorSymbolic) ... ok (0.023s)
2023-01-11T21:05:21.9997332Z   test_make_fx_simple (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s)
2023-01-11T21:05:21.9997667Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorSymbolic) ... ok (0.022s)
2023-01-11T21:05:21.9998013Z   test_partial_decomp (__main__.TestGenericProxyTensorSymbolic) ... ok (0.075s)
2023-01-11T21:05:21.9998347Z   test_pickle_issue89626 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.016s)
2023-01-11T21:05:21.9998715Z   test_pr_86917 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.059s)
2023-01-11T21:05:21.9999086Z   test_proxy_tensor (__main__.TestGenericProxyTensorSymbolic) ... ok (0.164s)
2023-01-11T21:05:21.9999601Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.018s)
2023-01-11T21:05:21.9999980Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorSymbolic) ... ok (24.124s)
2023-01-11T21:05:22.0000306Z   test_scalar_device (__main__.TestGenericProxyTensorSymbolic) ... ok (0.035s)
2023-01-11T21:05:22.0000628Z   test_strides (__main__.TestGenericProxyTensorSymbolic) ... ok (0.062s)
2023-01-11T21:05:22.0000954Z   test_tensor_constants (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s)
2023-01-11T21:05:22.0001306Z   test_trace_subclasses (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.011s)
2023-01-11T21:05:22.0001652Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorSymbolic) ... ok (0.026s)
2023-01-11T21:05:22.0001983Z   test_varargs (__main__.TestGenericProxyTensorSymbolic) ... ok (0.027s)
2023-01-11T21:05:22.0002320Z   test_make_fx_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0002649Z   test_make_fx_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0003003Z   test_make_fx_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.605s)
2023-01-11T21:05:22.0003465Z   test_make_fx_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0004129Z   test_make_fx_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.196s)
2023-01-11T21:05:22.0004808Z   test_make_fx_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.552s)
2023-01-11T21:05:22.0005498Z   test_make_fx_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0006184Z   test_make_fx_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0007825Z   test_make_fx_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0009024Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0009445Z ok (0.362s)
2023-01-11T21:05:22.0009963Z   test_make_fx_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0010690Z   test_make_fx_exhaustive__native_batch_norm_legit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.439s)
2023-01-11T21:05:22.0011429Z   test_make_fx_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0012148Z   test_make_fx_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0012833Z   test_make_fx_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0013517Z   test_make_fx_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0014185Z   test_make_fx_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.165s)
2023-01-11T21:05:22.0014881Z   test_make_fx_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s)
2023-01-11T21:05:22.0015586Z   test_make_fx_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.225s)
2023-01-11T21:05:22.0016279Z   test_make_fx_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.219s)
2023-01-11T21:05:22.0016956Z   test_make_fx_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0017830Z   test_make_fx_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0018612Z   test_make_fx_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2023-01-11T21:05:22.0019296Z   test_make_fx_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s)
2023-01-11T21:05:22.0019969Z   test_make_fx_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s)
2023-01-11T21:05:22.0020683Z   test_make_fx_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s)
2023-01-11T21:05:22.0021410Z   test_make_fx_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.239s)
2023-01-11T21:05:22.0022072Z   test_make_fx_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s)
2023-01-11T21:05:22.0023524Z   test_make_fx_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:05:22.0025529Z [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:05:22.0027476Z test_proxy_tensor.py:1422: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:05:22.0028670Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0029015Z ok (0.108s)
2023-01-11T21:05:22.0029510Z   test_make_fx_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0030201Z   test_make_fx_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2023-01-11T21:05:22.0030895Z   test_make_fx_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.215s)
2023-01-11T21:05:22.0031591Z   test_make_fx_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2023-01-11T21:05:22.0032264Z   test_make_fx_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.154s)
2023-01-11T21:05:22.0032964Z   test_make_fx_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.616s)
2023-01-11T21:05:22.0033763Z   test_make_fx_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2023-01-11T21:05:22.0034439Z   test_make_fx_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2023-01-11T21:05:22.0035182Z   test_make_fx_exhaustive_as_strided_partial_views_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2023-01-11T21:05:22.0035934Z   test_make_fx_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s)
2023-01-11T21:05:22.0036636Z   test_make_fx_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0037305Z   test_make_fx_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0038004Z   test_make_fx_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0038806Z   test_make_fx_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0039554Z   test_make_fx_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0040240Z   test_make_fx_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2023-01-11T21:05:22.0040957Z   test_make_fx_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2023-01-11T21:05:22.0041658Z   test_make_fx_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s)
2023-01-11T21:05:22.0042335Z   test_make_fx_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2023-01-11T21:05:22.0043047Z   test_make_fx_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0043867Z   test_make_fx_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0044599Z   test_make_fx_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0045313Z   test_make_fx_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0045984Z   test_make_fx_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0046718Z   test_make_fx_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0047494Z   test_make_fx_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2023-01-11T21:05:22.0048249Z   test_make_fx_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s)
2023-01-11T21:05:22.0048993Z   test_make_fx_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.361s)
2023-01-11T21:05:22.0049710Z   test_make_fx_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0050433Z   test_make_fx_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.195s)
2023-01-11T21:05:22.0051163Z   test_make_fx_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0051879Z   test_make_fx_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.204s)
2023-01-11T21:05:22.0052591Z   test_make_fx_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0053285Z   test_make_fx_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0053999Z   test_make_fx_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0055799Z   test_make_fx_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:14533: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2023-01-11T21:05:22.0056939Z   op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs),
2023-01-11T21:05:22.0057324Z ok (0.069s)
2023-01-11T21:05:22.0057842Z   test_make_fx_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2023-01-11T21:05:22.0058890Z   test_make_fx_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2023-01-11T21:05:22.0059716Z L = torch.cholesky(A)
2023-01-11T21:05:22.0060082Z should be replaced with
2023-01-11T21:05:22.0060474Z L = torch.linalg.cholesky(A)
2023-01-11T21:05:22.0060832Z and
2023-01-11T21:05:22.0061165Z U = torch.cholesky(A, upper=True)
2023-01-11T21:05:22.0061561Z should be replaced with
2023-01-11T21:05:22.0062116Z U = torch.linalg.cholesky(A).mH().
2023-01-11T21:05:22.0062979Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1730.)
2023-01-11T21:05:22.0063720Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0064058Z ok (0.218s)
2023-01-11T21:05:22.0064599Z   test_make_fx_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.174s)
2023-01-11T21:05:22.0065311Z   test_make_fx_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.190s)
2023-01-11T21:05:22.0066023Z   test_make_fx_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.126s)
2023-01-11T21:05:22.0066707Z   test_make_fx_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2023-01-11T21:05:22.0067392Z   test_make_fx_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s)
2023-01-11T21:05:22.0068117Z   test_make_fx_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2023-01-11T21:05:22.0068825Z   test_make_fx_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0069523Z   test_make_fx_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2023-01-11T21:05:22.0070224Z   test_make_fx_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.792s)
2023-01-11T21:05:22.0070943Z   test_make_fx_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0071636Z   test_make_fx_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0072343Z   test_make_fx_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0073142Z   test_make_fx_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.610s)
2023-01-11T21:05:22.0073862Z   test_make_fx_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0074557Z   test_make_fx_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0075272Z   test_make_fx_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.066s)
2023-01-11T21:05:22.0075985Z   test_make_fx_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0076654Z   test_make_fx_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0077345Z   test_make_fx_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.238s)
2023-01-11T21:05:22.0078056Z   test_make_fx_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.063s)
2023-01-11T21:05:22.0078769Z   test_make_fx_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2023-01-11T21:05:22.0079457Z   test_make_fx_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0080153Z   test_make_fx_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0080833Z   test_make_fx_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2023-01-11T21:05:22.0081525Z   test_make_fx_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0082248Z   test_make_fx_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.680s)
2023-01-11T21:05:22.0082960Z   test_make_fx_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0083772Z   test_make_fx_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.227s)
2023-01-11T21:05:22.0084473Z   test_make_fx_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2023-01-11T21:05:22.0085340Z   test_make_fx_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s)
2023-01-11T21:05:22.0086102Z   test_make_fx_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.181s)
2023-01-11T21:05:22.0086813Z   test_make_fx_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.202s)
2023-01-11T21:05:22.0087537Z   test_make_fx_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.226s)
2023-01-11T21:05:22.0088245Z   test_make_fx_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.412s)
2023-01-11T21:05:22.0088904Z   test_make_fx_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0089593Z   test_make_fx_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.771s)
2023-01-11T21:05:22.0090314Z   test_make_fx_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0091035Z   test_make_fx_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0091795Z   test_make_fx_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0092513Z   test_make_fx_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0093204Z   test_make_fx_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0093888Z   test_make_fx_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2023-01-11T21:05:22.0094590Z   test_make_fx_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2023-01-11T21:05:22.0095279Z   test_make_fx_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.802s)
2023-01-11T21:05:22.0096003Z   test_make_fx_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0096748Z   test_make_fx_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0097470Z   test_make_fx_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.151s)
2023-01-11T21:05:22.0098182Z   test_make_fx_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s)
2023-01-11T21:05:22.0098900Z   test_make_fx_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0099567Z   test_make_fx_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0100264Z   test_make_fx_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0100957Z   test_make_fx_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0101633Z   test_make_fx_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0102333Z   test_make_fx_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2023-01-11T21:05:22.0104317Z   test_make_fx_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2023-01-11T21:05:22.0105008Z   test_make_fx_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0105697Z   test_make_fx_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.651s)
2023-01-11T21:05:22.0106405Z   test_make_fx_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.209s)
2023-01-11T21:05:22.0107093Z   test_make_fx_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s)
2023-01-11T21:05:22.0107795Z   test_make_fx_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s)
2023-01-11T21:05:22.0108508Z   test_make_fx_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2023-01-11T21:05:22.0109324Z   test_make_fx_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.322s)
2023-01-11T21:05:22.0110088Z   test_make_fx_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.299s)
2023-01-11T21:05:22.0110781Z   test_make_fx_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.377s)
2023-01-11T21:05:22.0111466Z   test_make_fx_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.168s)
2023-01-11T21:05:22.0112141Z   test_make_fx_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2023-01-11T21:05:22.0112831Z   test_make_fx_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.210s)
2023-01-11T21:05:22.0113629Z   test_make_fx_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0114339Z   test_make_fx_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.208s)
2023-01-11T21:05:22.0115025Z   test_make_fx_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2023-01-11T21:05:22.0115729Z   test_make_fx_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.238s)
2023-01-11T21:05:22.0116416Z   test_make_fx_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.165s)
2023-01-11T21:05:22.0117108Z   test_make_fx_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.171s)
2023-01-11T21:05:22.0117784Z   test_make_fx_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.214s)
2023-01-11T21:05:22.0118483Z   test_make_fx_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2023-01-11T21:05:22.0119196Z   test_make_fx_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2023-01-11T21:05:22.0119882Z   test_make_fx_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s)
2023-01-11T21:05:22.0120577Z   test_make_fx_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0121271Z   test_make_fx_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0121950Z   test_make_fx_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2023-01-11T21:05:22.0122613Z   test_make_fx_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2023-01-11T21:05:22.0123296Z   test_make_fx_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0124115Z   test_make_fx_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0124809Z   test_make_fx_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s)
2023-01-11T21:05:22.0125501Z   test_make_fx_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0126200Z   test_make_fx_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s)
2023-01-11T21:05:22.0126905Z   test_make_fx_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0127566Z   test_make_fx_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s)
2023-01-11T21:05:22.0128235Z   test_make_fx_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0128917Z   test_make_fx_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0129592Z   test_make_fx_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0130258Z   test_make_fx_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0130952Z   test_make_fx_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0131821Z   test_make_fx_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2023-01-11T21:05:22.0132566Z   test_make_fx_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0133244Z   test_make_fx_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.698s)
2023-01-11T21:05:22.0133935Z   test_make_fx_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.845s)
2023-01-11T21:05:22.0134649Z   test_make_fx_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.282s)
2023-01-11T21:05:22.0135324Z   test_make_fx_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0135998Z   test_make_fx_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2023-01-11T21:05:22.0136697Z   test_make_fx_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.131s)
2023-01-11T21:05:22.0137401Z   test_make_fx_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.176s)
2023-01-11T21:05:22.0138066Z   test_make_fx_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.041s)
2023-01-11T21:05:22.0138773Z   test_make_fx_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.342s)
2023-01-11T21:05:22.0139484Z   test_make_fx_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2023-01-11T21:05:22.0140160Z   test_make_fx_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0140851Z   test_make_fx_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2023-01-11T21:05:22.0141538Z   test_make_fx_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0142211Z   test_make_fx_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0142891Z   test_make_fx_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0143588Z   test_make_fx_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.168s)
2023-01-11T21:05:22.0144291Z   test_make_fx_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0144998Z   test_make_fx_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2023-01-11T21:05:22.0145688Z   test_make_fx_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0146822Z   test_make_fx_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1128.)
2023-01-11T21:05:22.0147753Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0148092Z ok (0.606s)
2023-01-11T21:05:22.0148603Z   test_make_fx_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2023-01-11T21:05:22.0149310Z   test_make_fx_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2023-01-11T21:05:22.0149990Z   test_make_fx_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2023-01-11T21:05:22.0150660Z   test_make_fx_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.129s)
2023-01-11T21:05:22.0151364Z   test_make_fx_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2023-01-11T21:05:22.0152051Z   test_make_fx_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0152723Z   test_make_fx_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0153440Z   test_make_fx_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0154218Z   test_make_fx_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0154967Z   test_make_fx_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0155653Z   test_make_fx_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0156428Z   test_make_fx_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0157306Z   test_make_fx_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0158148Z   test_make_fx_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0158957Z   test_make_fx_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0159774Z   test_make_fx_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0160512Z   test_make_fx_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0161203Z   test_make_fx_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2023-01-11T21:05:22.0161868Z   test_make_fx_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.231s)
2023-01-11T21:05:22.0162534Z   test_make_fx_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0163216Z   test_make_fx_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s)
2023-01-11T21:05:22.0164026Z   test_make_fx_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0164723Z   test_make_fx_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.368s)
2023-01-11T21:05:22.0165457Z   test_make_fx_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.284s)
2023-01-11T21:05:22.0166183Z   test_make_fx_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.202s)
2023-01-11T21:05:22.0166891Z   test_make_fx_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2023-01-11T21:05:22.0167585Z   test_make_fx_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.281s)
2023-01-11T21:05:22.0168309Z   test_make_fx_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.946s)
2023-01-11T21:05:22.0169032Z   test_make_fx_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.155s)
2023-01-11T21:05:22.0169733Z   test_make_fx_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2023-01-11T21:05:22.0170440Z   test_make_fx_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s)
2023-01-11T21:05:22.0171165Z   test_make_fx_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2023-01-11T21:05:22.0171922Z   test_make_fx_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2023-01-11T21:05:22.0172672Z   test_make_fx_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.183s)
2023-01-11T21:05:22.0173392Z   test_make_fx_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.154s)
2023-01-11T21:05:22.0174158Z   test_make_fx_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2023-01-11T21:05:22.0174926Z   test_make_fx_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.094s)
2023-01-11T21:05:22.0175654Z   test_make_fx_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.288s)
2023-01-11T21:05:22.0176577Z   test_make_fx_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0177499Z   test_make_fx_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0178268Z   test_make_fx_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.391s)
2023-01-11T21:05:22.0178982Z   test_make_fx_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.479s)
2023-01-11T21:05:22.0179725Z   test_make_fx_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.379s)
2023-01-11T21:05:22.0180468Z   test_make_fx_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.882s)
2023-01-11T21:05:22.0181194Z   test_make_fx_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.252s)
2023-01-11T21:05:22.0181952Z   test_make_fx_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.252s)
2023-01-11T21:05:22.0182696Z   test_make_fx_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.858s)
2023-01-11T21:05:22.0183457Z   test_make_fx_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.535s)
2023-01-11T21:05:22.0184200Z   test_make_fx_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.259s)
2023-01-11T21:05:22.0184941Z   test_make_fx_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.435s)
2023-01-11T21:05:22.0185705Z   test_make_fx_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.745s)
2023-01-11T21:05:22.0186460Z   test_make_fx_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.462s)
2023-01-11T21:05:22.0187178Z   test_make_fx_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s)
2023-01-11T21:05:22.0188054Z   test_make_fx_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:05:22.0188888Z   test_make_fx_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.692s)
2023-01-11T21:05:22.0189603Z   test_make_fx_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.367s)
2023-01-11T21:05:22.0190301Z   test_make_fx_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.785s)
2023-01-11T21:05:22.0191033Z   test_make_fx_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.776s)
2023-01-11T21:05:22.0191771Z   test_make_fx_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.537s)
2023-01-11T21:05:22.0192503Z   test_make_fx_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.210s)
2023-01-11T21:05:22.0193301Z   test_make_fx_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.128s)
2023-01-11T21:05:22.0194036Z   test_make_fx_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2023-01-11T21:05:22.0194764Z   test_make_fx_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.317s)
2023-01-11T21:05:22.0195464Z   test_make_fx_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.495s)
2023-01-11T21:05:22.0196198Z   test_make_fx_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.059s)
2023-01-11T21:05:22.0196925Z   test_make_fx_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.226s)
2023-01-11T21:05:22.0197646Z   test_make_fx_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.343s)
2023-01-11T21:05:22.0198427Z   test_make_fx_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0199162Z   test_make_fx_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0199829Z   test_make_fx_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0200509Z   test_make_fx_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0201178Z   test_make_fx_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2023-01-11T21:05:22.0201793Z   test_make_fx_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0202284Z   test_make_fx_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0202822Z   test_make_fx_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0203759Z   test_make_fx_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2023-01-11T21:05:22.0204344Z   test_make_fx_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.599s)
2023-01-11T21:05:22.0204889Z   test_make_fx_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0205430Z   test_make_fx_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0205976Z   test_make_fx_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0206521Z   test_make_fx_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0207038Z   test_make_fx_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0207562Z   test_make_fx_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.741s)
2023-01-11T21:05:22.0208121Z   test_make_fx_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2023-01-11T21:05:22.0208658Z   test_make_fx_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0209160Z   test_make_fx_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0210329Z   test_make_fx_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1728: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2023-01-11T21:05:22.0211051Z LU, pivots = torch.lu(A, compute_pivots)
2023-01-11T21:05:22.0211356Z should be replaced with
2023-01-11T21:05:22.0211688Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2023-01-11T21:05:22.0211993Z and
2023-01-11T21:05:22.0212334Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2023-01-11T21:05:22.0212642Z should be replaced with
2023-01-11T21:05:22.0213187Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2029.)
2023-01-11T21:05:22.0213770Z   return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
2023-01-11T21:05:22.0214101Z ok (0.945s)
2023-01-11T21:05:22.0214693Z   test_make_fx_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
2023-01-11T21:05:22.0215353Z Note that torch.linalg.lu_solve has its arguments reversed.
2023-01-11T21:05:22.0215697Z X = torch.lu_solve(B, LU, pivots)
2023-01-11T21:05:22.0215970Z should be replaced with
2023-01-11T21:05:22.0216484Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2183.)
2023-01-11T21:05:22.0217105Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0217362Z ok (0.573s)
2023-01-11T21:05:22.0217824Z   test_make_fx_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.435s)
2023-01-11T21:05:22.0218336Z   test_make_fx_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0218866Z   test_make_fx_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2023-01-11T21:05:22.0219386Z   test_make_fx_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.764s)
2023-01-11T21:05:22.0219947Z   test_make_fx_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.745s)
2023-01-11T21:05:22.0220471Z   test_make_fx_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.093s)
2023-01-11T21:05:22.0221033Z   test_make_fx_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.093s)
2023-01-11T21:05:22.0221565Z   test_make_fx_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.385s)
2023-01-11T21:05:22.0222081Z   test_make_fx_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.378s)
2023-01-11T21:05:22.0222557Z   test_make_fx_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.134s)
2023-01-11T21:05:22.0223106Z   test_make_fx_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.477s)
2023-01-11T21:05:22.0223685Z   test_make_fx_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.566s)
2023-01-11T21:05:22.0224304Z   test_make_fx_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.743s)
2023-01-11T21:05:22.0224867Z   test_make_fx_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.447s)
2023-01-11T21:05:22.0225429Z   test_make_fx_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.566s)
2023-01-11T21:05:22.0225987Z   test_make_fx_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.922s)
2023-01-11T21:05:22.0226534Z   test_make_fx_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.013s)
2023-01-11T21:05:22.0227072Z   test_make_fx_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.211s)
2023-01-11T21:05:22.0227594Z   test_make_fx_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0228136Z   test_make_fx_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s)
2023-01-11T21:05:22.0228685Z   test_make_fx_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.488s)
2023-01-11T21:05:22.0229257Z   test_make_fx_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.597s)
2023-01-11T21:05:22.0229799Z   test_make_fx_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.240s)
2023-01-11T21:05:22.0230357Z   test_make_fx_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.771s)
2023-01-11T21:05:22.0230906Z   test_make_fx_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.997s)
2023-01-11T21:05:22.0231452Z   test_make_fx_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.562s)
2023-01-11T21:05:22.0231960Z   test_make_fx_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0232482Z   test_make_fx_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.154s)
2023-01-11T21:05:22.0233118Z   test_make_fx_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.148s)
2023-01-11T21:05:22.0233637Z   test_make_fx_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0234344Z   test_make_fx_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2023-01-11T21:05:22.0234996Z   test_make_fx_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0235542Z   test_make_fx_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.246s)
2023-01-11T21:05:22.0236055Z   test_make_fx_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.224s)
2023-01-11T21:05:22.0236621Z   test_make_fx_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.494s)
2023-01-11T21:05:22.0237215Z   test_make_fx_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.497s)
2023-01-11T21:05:22.0237778Z   test_make_fx_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2023-01-11T21:05:22.0238327Z   test_make_fx_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0238911Z   test_make_fx_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0239473Z   test_make_fx_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0239993Z   test_make_fx_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0240489Z   test_make_fx_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.133s)
2023-01-11T21:05:22.0241003Z   test_make_fx_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0241526Z   test_make_fx_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0242025Z   test_make_fx_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0242603Z   test_make_fx_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2023-01-11T21:05:22.0243140Z   test_make_fx_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0243855Z   test_make_fx_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2023-01-11T21:05:22.0244395Z   test_make_fx_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2023-01-11T21:05:22.0244938Z   test_make_fx_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s)
2023-01-11T21:05:22.0245494Z   test_make_fx_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0246012Z   test_make_fx_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.308s)
2023-01-11T21:05:22.0246506Z   test_make_fx_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.226s)
2023-01-11T21:05:22.0247065Z   test_make_fx_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2023-01-11T21:05:22.0247639Z   test_make_fx_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.424s)
2023-01-11T21:05:22.0248166Z   test_make_fx_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0248706Z   test_make_fx_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0249285Z   test_make_fx_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.378s)
2023-01-11T21:05:22.0249847Z   test_make_fx_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0250383Z   test_make_fx_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.562s)
2023-01-11T21:05:22.0250945Z   test_make_fx_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0251645Z   test_make_fx_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0252297Z   test_make_fx_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0252944Z   test_make_fx_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:05:22.0253542Z   test_make_fx_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2023-01-11T21:05:22.0254055Z   test_make_fx_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2023-01-11T21:05:22.0254689Z   test_make_fx_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2023-01-11T21:05:22.0255319Z   test_make_fx_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s)
2023-01-11T21:05:22.0255938Z   test_make_fx_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.234s)
2023-01-11T21:05:22.0256524Z   test_make_fx_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s)
2023-01-11T21:05:22.0257134Z   test_make_fx_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.147s)
2023-01-11T21:05:22.0257796Z   test_make_fx_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.177s)
2023-01-11T21:05:22.0258451Z   test_make_fx_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.404s)
2023-01-11T21:05:22.0259077Z   test_make_fx_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.473s)
2023-01-11T21:05:22.0259663Z   test_make_fx_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.400s)
2023-01-11T21:05:22.0260275Z   test_make_fx_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.368s)
2023-01-11T21:05:22.0260887Z   test_make_fx_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.296s)
2023-01-11T21:05:22.0261486Z   test_make_fx_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s)
2023-01-11T21:05:22.0262066Z   test_make_fx_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2023-01-11T21:05:22.0262644Z   test_make_fx_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.605s)
2023-01-11T21:05:22.0263227Z   test_make_fx_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.880s)
2023-01-11T21:05:22.0263826Z   test_make_fx_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s)
2023-01-11T21:05:22.0264465Z   test_make_fx_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.480s)
2023-01-11T21:05:22.0265063Z   test_make_fx_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0265641Z   test_make_fx_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.295s)
2023-01-11T21:05:22.0267011Z   test_make_fx_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:997.)
2023-01-11T21:05:22.0267792Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0268047Z ok (0.944s)
2023-01-11T21:05:22.0268481Z   test_make_fx_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2023-01-11T21:05:22.0269212Z   test_make_fx_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.344s)
2023-01-11T21:05:22.0269839Z   test_make_fx_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.298s)
2023-01-11T21:05:22.0270400Z   test_make_fx_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.223s)
2023-01-11T21:05:22.0271019Z   test_make_fx_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.166s)
2023-01-11T21:05:22.0271623Z   test_make_fx_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.969s)
2023-01-11T21:05:22.0272200Z   test_make_fx_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.346s)
2023-01-11T21:05:22.0274162Z   test_make_fx_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0275507Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0275875Z ok (0.212s)
2023-01-11T21:05:22.0276292Z   test_make_fx_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.317s)
2023-01-11T21:05:22.0276825Z   test_make_fx_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.294s)
2023-01-11T21:05:22.0277425Z   test_make_fx_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0277993Z   test_make_fx_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.075s)
2023-01-11T21:05:22.0278550Z   test_make_fx_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.230s)
2023-01-11T21:05:22.0279154Z   test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s)
2023-01-11T21:05:22.0279769Z   test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0280367Z   test_make_fx_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.904s)
2023-01-11T21:05:22.0280959Z   test_make_fx_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.211s)
2023-01-11T21:05:22.0281607Z   test_make_fx_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0282220Z   test_make_fx_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s)
2023-01-11T21:05:22.0282786Z   test_make_fx_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.556s)
2023-01-11T21:05:22.0283346Z   test_make_fx_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.533s)
2023-01-11T21:05:22.0284239Z   test_make_fx_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.793s)
2023-01-11T21:05:22.0284643Z   test_make_fx_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0285045Z   test_make_fx_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0285567Z   test_make_fx_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2023-01-11T21:05:22.0286006Z   test_make_fx_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0286409Z   test_make_fx_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.005s)
2023-01-11T21:05:22.0286808Z   test_make_fx_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.141s)
2023-01-11T21:05:22.0287190Z   test_make_fx_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.426s)
2023-01-11T21:05:22.0287589Z   test_make_fx_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.375s)
2023-01-11T21:05:22.0287992Z   test_make_fx_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.269s)
2023-01-11T21:05:22.0288404Z   test_make_fx_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.262s)
2023-01-11T21:05:22.0288801Z   test_make_fx_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.265s)
2023-01-11T21:05:22.0289208Z   test_make_fx_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.262s)
2023-01-11T21:05:22.0289616Z   test_make_fx_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.263s)
2023-01-11T21:05:22.0290638Z   test_make_fx_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0291390Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0291623Z ok (0.687s)
2023-01-11T21:05:22.0291902Z   test_make_fx_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s)
2023-01-11T21:05:22.0292286Z   test_make_fx_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s)
2023-01-11T21:05:22.0292664Z   test_make_fx_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2023-01-11T21:05:22.0293046Z   test_make_fx_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.615s)
2023-01-11T21:05:22.0293433Z   test_make_fx_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.721s)
2023-01-11T21:05:22.0293829Z   test_make_fx_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2023-01-11T21:05:22.0294209Z   test_make_fx_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.464s)
2023-01-11T21:05:22.0294601Z   test_make_fx_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.979s)
2023-01-11T21:05:22.0294984Z   test_make_fx_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.136s)
2023-01-11T21:05:22.0295368Z   test_make_fx_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.119s)
2023-01-11T21:05:22.0295755Z   test_make_fx_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0296166Z   test_make_fx_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.642s)
2023-01-11T21:05:22.0296612Z   test_make_fx_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0297070Z   test_make_fx_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.480s)
2023-01-11T21:05:22.0297466Z   test_make_fx_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0297871Z   test_make_fx_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.282s)
2023-01-11T21:05:22.0298260Z   test_make_fx_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0298638Z   test_make_fx_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s)
2023-01-11T21:05:22.0299017Z   test_make_fx_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2023-01-11T21:05:22.0299425Z   test_make_fx_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2023-01-11T21:05:22.0299845Z   test_make_fx_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.428s)
2023-01-11T21:05:22.0300244Z   test_make_fx_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.668s)
2023-01-11T21:05:22.0300613Z   test_make_fx_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.282s)
2023-01-11T21:05:22.0300998Z   test_make_fx_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.912s)
2023-01-11T21:05:22.0301388Z   test_make_fx_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.712s)
2023-01-11T21:05:22.0301770Z   test_make_fx_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2023-01-11T21:05:22.0302166Z   test_make_fx_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2023-01-11T21:05:22.0302564Z   test_make_fx_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.244s)
2023-01-11T21:05:22.0302952Z   test_make_fx_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s)
2023-01-11T21:05:22.0303322Z   test_make_fx_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2023-01-11T21:05:22.0303716Z   test_make_fx_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2023-01-11T21:05:22.0304110Z   test_make_fx_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.345s)
2023-01-11T21:05:22.0304492Z   test_make_fx_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.598s)
2023-01-11T21:05:22.0304855Z   test_make_fx_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0305227Z   test_make_fx_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0305593Z   test_make_fx_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0305969Z   test_make_fx_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2023-01-11T21:05:22.0306327Z   test_make_fx_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0306708Z   test_make_fx_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.126s)
2023-01-11T21:05:22.0307100Z   test_make_fx_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2023-01-11T21:05:22.0307523Z   test_make_fx_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2023-01-11T21:05:22.0307932Z   test_make_fx_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2023-01-11T21:05:22.0308324Z   test_make_fx_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0308709Z   test_make_fx_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2023-01-11T21:05:22.0309092Z   test_make_fx_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0309463Z   test_make_fx_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0309845Z   test_make_fx_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0310240Z   test_make_fx_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.715s)
2023-01-11T21:05:22.0310647Z   test_make_fx_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.663s)
2023-01-11T21:05:22.0311054Z   test_make_fx_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.290s)
2023-01-11T21:05:22.0311813Z   test_make_fx_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0312383Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0312661Z ok (0.066s)
2023-01-11T21:05:22.0313389Z   test_make_fx_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0313955Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0314229Z ok (0.193s)
2023-01-11T21:05:22.0314478Z   test_make_fx_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.555s)
2023-01-11T21:05:22.0314832Z   test_make_fx_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.515s)
2023-01-11T21:05:22.0315185Z   test_make_fx_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0315536Z   test_make_fx_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0315878Z   test_make_fx_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.100s)
2023-01-11T21:05:22.0316245Z   test_make_fx_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0316607Z   test_make_fx_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0316964Z   test_make_fx_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0317306Z   test_make_fx_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0317655Z   test_make_fx_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.841s)
2023-01-11T21:05:22.0318001Z   test_make_fx_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0318348Z   test_make_fx_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (44.879s)
2023-01-11T21:05:22.0318711Z   test_make_fx_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0319106Z   test_make_fx_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.251s)
2023-01-11T21:05:22.0319452Z   test_make_fx_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s)
2023-01-11T21:05:22.0319841Z   test_make_fx_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.127s)
2023-01-11T21:05:22.0320232Z   test_make_fx_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2023-01-11T21:05:22.0320618Z   test_make_fx_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2023-01-11T21:05:22.0320997Z   test_make_fx_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2023-01-11T21:05:22.0321364Z   test_make_fx_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2023-01-11T21:05:22.0321733Z   test_make_fx_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0322086Z   test_make_fx_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0322419Z   test_make_fx_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.457s)
2023-01-11T21:05:22.0322766Z   test_make_fx_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.403s)
2023-01-11T21:05:22.0323244Z   test_make_fx_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2023-01-11T21:05:22.0323924Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2023-01-11T21:05:22.0324163Z Q, R = torch.qr(A, some)
2023-01-11T21:05:22.0324355Z should be replaced with
2023-01-11T21:05:22.0324825Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2459.)
2023-01-11T21:05:22.0325165Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0325332Z ok (0.837s)
2023-01-11T21:05:22.0325619Z   test_make_fx_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2023-01-11T21:05:22.0325994Z   test_make_fx_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0326338Z   test_make_fx_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0326694Z   test_make_fx_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.150s)
2023-01-11T21:05:22.0327050Z   test_make_fx_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.150s)
2023-01-11T21:05:22.0327408Z   test_make_fx_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0327751Z   test_make_fx_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2023-01-11T21:05:22.0328106Z   test_make_fx_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2023-01-11T21:05:22.0328458Z   test_make_fx_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0328802Z   test_make_fx_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0329160Z   test_make_fx_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.345s)
2023-01-11T21:05:22.0329516Z   test_make_fx_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2023-01-11T21:05:22.0329864Z   test_make_fx_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.481s)
2023-01-11T21:05:22.0330217Z   test_make_fx_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.214s)
2023-01-11T21:05:22.0330584Z   test_make_fx_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0331036Z   test_make_fx_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.100s)
2023-01-11T21:05:22.0331422Z   test_make_fx_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0331769Z   test_make_fx_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2023-01-11T21:05:22.0332129Z   test_make_fx_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0332490Z   test_make_fx_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0332830Z   test_make_fx_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.194s)
2023-01-11T21:05:22.0333171Z   test_make_fx_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.417s)
2023-01-11T21:05:22.0333514Z   test_make_fx_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0333885Z   test_make_fx_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0334244Z   test_make_fx_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0334620Z   test_make_fx_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0334980Z   test_make_fx_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0335329Z   test_make_fx_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.167s)
2023-01-11T21:05:22.0335676Z   test_make_fx_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0336039Z   test_make_fx_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s)
2023-01-11T21:05:22.0336396Z   test_make_fx_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.422s)
2023-01-11T21:05:22.0336984Z   test_make_fx_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1739.)
2023-01-11T21:05:22.0337455Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0337632Z ok (0.402s)
2023-01-11T21:05:22.0337910Z   test_make_fx_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.393s)
2023-01-11T21:05:22.0338277Z   test_make_fx_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.394s)
2023-01-11T21:05:22.0338656Z   test_make_fx_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.389s)
2023-01-11T21:05:22.0339035Z   test_make_fx_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.392s)
2023-01-11T21:05:22.0340134Z   test_make_fx_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.)
2023-01-11T21:05:22.0340794Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0341619Z test_proxy_tensor.py:1422: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.)
2023-01-11T21:05:22.0342223Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0342400Z ok (1.643s)
2023-01-11T21:05:22.0342715Z   test_make_fx_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.381s)
2023-01-11T21:05:22.0343088Z   test_make_fx_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.381s)
2023-01-11T21:05:22.0343453Z   test_make_fx_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2023-01-11T21:05:22.0343814Z   test_make_fx_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0344174Z   test_make_fx_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0344509Z   test_make_fx_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0344861Z   test_make_fx_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0345212Z   test_make_fx_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0345574Z   test_make_fx_exhaustive_signal_windows_bartlett_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s)
2023-01-11T21:05:22.0345959Z   test_make_fx_exhaustive_signal_windows_blackman_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.513s)
2023-01-11T21:05:22.0346343Z   test_make_fx_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s)
2023-01-11T21:05:22.0346731Z   test_make_fx_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.291s)
2023-01-11T21:05:22.0347107Z   test_make_fx_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.292s)
2023-01-11T21:05:22.0347502Z   test_make_fx_exhaustive_signal_windows_general_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.517s)
2023-01-11T21:05:22.0347904Z   test_make_fx_exhaustive_signal_windows_general_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.519s)
2023-01-11T21:05:22.0348297Z   test_make_fx_exhaustive_signal_windows_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.516s)
2023-01-11T21:05:22.0348670Z   test_make_fx_exhaustive_signal_windows_hann_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.519s)
2023-01-11T21:05:22.0349050Z   test_make_fx_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.459s)
2023-01-11T21:05:22.0349432Z   test_make_fx_exhaustive_signal_windows_nuttall_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.518s)
2023-01-11T21:05:22.0349833Z   test_make_fx_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0350242Z   test_make_fx_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0350582Z   test_make_fx_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0350927Z   test_make_fx_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0351279Z   test_make_fx_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0351625Z   test_make_fx_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2023-01-11T21:05:22.0351980Z   test_make_fx_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2023-01-11T21:05:22.0352346Z   test_make_fx_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0352696Z   test_make_fx_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.043s)
2023-01-11T21:05:22.0353910Z   test_make_fx_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:976: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T21:05:22.0354630Z   torch.eye(m, n, device=device, dtype=dtype)
2023-01-11T21:05:22.0354844Z expected failure (0.007s)
2023-01-11T21:05:22.0355138Z   test_make_fx_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0355501Z   test_make_fx_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0355873Z   test_make_fx_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0356240Z   test_make_fx_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0356665Z   test_make_fx_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0357049Z   test_make_fx_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0357462Z   test_make_fx_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0358061Z   test_make_fx_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0358694Z   test_make_fx_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0359136Z   test_make_fx_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0359506Z   test_make_fx_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0359898Z   test_make_fx_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0360289Z   test_make_fx_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0360774Z   test_make_fx_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0381827Z   test_make_fx_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0382211Z   test_make_fx_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0382608Z   test_make_fx_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0383249Z   test_make_fx_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0383709Z   test_make_fx_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0384090Z   test_make_fx_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0384485Z   test_make_fx_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0384878Z   test_make_fx_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0385274Z   test_make_fx_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0385636Z   test_make_fx_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2023-01-11T21:05:22.0386006Z   test_make_fx_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0386539Z   test_make_fx_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2023-01-11T21:05:22.0387021Z   test_make_fx_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0387417Z   test_make_fx_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0388034Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0388709Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0389371Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0390026Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0390489Z   test_make_fx_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0390882Z   test_make_fx_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0391256Z   test_make_fx_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0391606Z   test_make_fx_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0391971Z   test_make_fx_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.100s)
2023-01-11T21:05:22.0392343Z   test_make_fx_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0392705Z   test_make_fx_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0393123Z   test_make_fx_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0393481Z   test_make_fx_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.094s)
2023-01-11T21:05:22.0393836Z   test_make_fx_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2023-01-11T21:05:22.0394183Z   test_make_fx_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2023-01-11T21:05:22.0394521Z   test_make_fx_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.179s)
2023-01-11T21:05:22.0394891Z   test_make_fx_exhaustive_std_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0395271Z   test_make_fx_exhaustive_std_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0396087Z   test_make_fx_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:642: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2023-01-11T21:05:22.0396754Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2023-01-11T21:05:22.0397126Z   normalized, onesided, return_complex)
2023-01-11T21:05:22.0397322Z ok (0.588s)
2023-01-11T21:05:22.0397583Z   test_make_fx_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.168s)
2023-01-11T21:05:22.0397917Z   test_make_fx_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.242s)
2023-01-11T21:05:22.0398313Z   test_make_fx_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.199s)
2023-01-11T21:05:22.0398698Z   test_make_fx_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.092s)
2023-01-11T21:05:22.0399045Z   test_make_fx_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (58.660s)
2023-01-11T21:05:22.0399550Z   test_make_fx_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2023-01-11T21:05:22.0400078Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2023-01-11T21:05:22.0400396Z L, _ = torch.symeig(A, upper=upper)
2023-01-11T21:05:22.0400586Z should be replaced with
2023-01-11T21:05:22.0400879Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2023-01-11T21:05:22.0401090Z and
2023-01-11T21:05:22.0401264Z L, V = torch.symeig(A, eigenvectors=True)
2023-01-11T21:05:22.0401474Z should be replaced with
2023-01-11T21:05:22.0401940Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2910.)
2023-01-11T21:05:22.0402276Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0402443Z ok (0.153s)
2023-01-11T21:05:22.0402704Z   test_make_fx_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0403067Z   test_make_fx_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2023-01-11T21:05:22.0403550Z   test_make_fx_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s)
2023-01-11T21:05:22.0403944Z   test_make_fx_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0404298Z   test_make_fx_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0404675Z   test_make_fx_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s)
2023-01-11T21:05:22.0405044Z   test_make_fx_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0405401Z   test_make_fx_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.754s)
2023-01-11T21:05:22.0405748Z   test_make_fx_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.367s)
2023-01-11T21:05:22.0406102Z   test_make_fx_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0406472Z   test_make_fx_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.260s)
2023-01-11T21:05:22.0406824Z   test_make_fx_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0407183Z   test_make_fx_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2023-01-11T21:05:22.0407528Z   test_make_fx_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.732s)
2023-01-11T21:05:22.0407884Z   test_make_fx_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.731s)
2023-01-11T21:05:22.0408415Z   test_make_fx_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1422: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2023-01-11T21:05:22.0408939Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2023-01-11T21:05:22.0409223Z X = torch.triangular_solve(B, A).solution
2023-01-11T21:05:22.0409431Z should be replaced with
2023-01-11T21:05:22.0409772Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2225.)
2023-01-11T21:05:22.0410143Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0410326Z ok (0.258s)
2023-01-11T21:05:22.0410628Z   test_make_fx_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2023-01-11T21:05:22.0410980Z   test_make_fx_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2023-01-11T21:05:22.0411327Z   test_make_fx_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.155s)
2023-01-11T21:05:22.0411686Z   test_make_fx_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0412039Z   test_make_fx_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.273s)
2023-01-11T21:05:22.0412386Z   test_make_fx_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.145s)
2023-01-11T21:05:22.0412749Z   test_make_fx_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.268s)
2023-01-11T21:05:22.0413110Z   test_make_fx_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.303s)
2023-01-11T21:05:22.0413463Z   test_make_fx_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0413820Z   test_make_fx_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.530s)
2023-01-11T21:05:22.0414184Z   test_make_fx_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.550s)
2023-01-11T21:05:22.0414540Z   test_make_fx_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2023-01-11T21:05:22.0414891Z   test_make_fx_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s)
2023-01-11T21:05:22.0415229Z   test_make_fx_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.181s)
2023-01-11T21:05:22.0415595Z   test_make_fx_exhaustive_var_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0415971Z   test_make_fx_exhaustive_var_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0416316Z   test_make_fx_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0416677Z   test_make_fx_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0417037Z   test_make_fx_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0417392Z   test_make_fx_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2023-01-11T21:05:22.0417729Z   test_make_fx_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s)
2023-01-11T21:05:22.0418084Z   test_make_fx_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2023-01-11T21:05:22.0418434Z   test_make_fx_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2023-01-11T21:05:22.0418788Z   test_make_fx_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s)
2023-01-11T21:05:22.0419124Z   test_make_fx_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0419469Z   test_make_fx_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0419815Z   test_make_fx_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0420155Z   test_make_fx_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s)
2023-01-11T21:05:22.0420507Z   test_make_fx_fake_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0420857Z   test_make_fx_fake_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0421269Z   test_make_fx_fake_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.153s)
2023-01-11T21:05:22.0421702Z   test_make_fx_fake_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0422095Z   test_make_fx_fake_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2023-01-11T21:05:22.0422463Z   test_make_fx_fake_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2023-01-11T21:05:22.0422829Z   test_make_fx_fake_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0423177Z   test_make_fx_fake_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0424032Z   test_make_fx_fake_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0424600Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0425263Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0425742Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0426372Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0426840Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0427488Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0427964Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0428593Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0429065Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0429703Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0430172Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0430800Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0431275Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0431920Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0432383Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0433097Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0433603Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0433827Z ok (0.103s)
2023-01-11T21:05:22.0434135Z   test_make_fx_fake_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0434507Z   test_make_fx_fake_exhaustive__native_batch_norm_legit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.217s)
2023-01-11T21:05:22.0434908Z   test_make_fx_fake_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0435287Z   test_make_fx_fake_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0435645Z   test_make_fx_fake_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0435994Z   test_make_fx_fake_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0436356Z   test_make_fx_fake_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2023-01-11T21:05:22.0436718Z   test_make_fx_fake_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0437082Z   test_make_fx_fake_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2023-01-11T21:05:22.0437432Z   test_make_fx_fake_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2023-01-11T21:05:22.0437794Z   test_make_fx_fake_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0438171Z   test_make_fx_fake_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0438528Z   test_make_fx_fake_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0438884Z   test_make_fx_fake_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0439240Z   test_make_fx_fake_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0439624Z   test_make_fx_fake_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s)
2023-01-11T21:05:22.0439989Z   test_make_fx_fake_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0440341Z   test_make_fx_fake_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0441073Z   test_make_fx_fake_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:05:22.0442069Z [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:05:22.0443032Z test_proxy_tensor.py:1422: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:05:22.0443790Z   return fn(*args, **kwargs)
2023-01-11T21:05:22.0443970Z ok (0.029s)
2023-01-11T21:05:22.0444228Z   test_make_fx_fake_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0444638Z   test_make_fx_fake_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s)
2023-01-11T21:05:22.0445002Z   test_make_fx_fake_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.199s)
2023-01-11T21:05:22.0445349Z   test_make_fx_fake_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2023-01-11T21:05:22.0445713Z   test_make_fx_fake_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0446073Z   test_make_fx_fake_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.126s)
2023-01-11T21:05:22.0446488Z   test_make_fx_fake_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.003s)
2023-01-11T21:05:22.0446887Z   test_make_fx_fake_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0447278Z   test_make_fx_fake_exhaustive_as_strided_partial_views_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0447673Z   test_make_fx_fake_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2023-01-11T21:05:22.0448046Z   test_make_fx_fake_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0448388Z   test_make_fx_fake_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0448743Z   test_make_fx_fake_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0449102Z   test_make_fx_fake_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0449448Z   test_make_fx_fake_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0449809Z   test_make_fx_fake_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0450177Z   test_make_fx_fake_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0450544Z   test_make_fx_fake_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0450896Z   test_make_fx_fake_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0451264Z   test_make_fx_fake_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0451632Z   test_make_fx_fake_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2023-01-11T21:05:22.0452015Z   test_make_fx_fake_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0452381Z   test_make_fx_fake_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0452736Z   test_make_fx_fake_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0453109Z   test_make_fx_fake_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0453500Z   test_make_fx_fake_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2023-01-11T21:05:22.0453869Z   test_make_fx_fake_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0454242Z   test_make_fx_fake_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.248s)
2023-01-11T21:05:22.0454606Z   test_make_fx_fake_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2023-01-11T21:05:22.0454963Z   test_make_fx_fake_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0455374Z   test_make_fx_fake_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0455766Z   test_make_fx_fake_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.630s)
2023-01-11T21:05:22.0456131Z   test_make_fx_fake_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2023-01-11T21:05:22.0456475Z   test_make_fx_fake_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0456831Z   test_make_fx_fake_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2023-01-11T21:05:22.0457191Z   test_make_fx_fake_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0457550Z   test_make_fx_fake_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2023-01-11T21:05:22.0457915Z   test_make_fx_fake_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2023-01-11T21:05:22.0458327Z   test_make_fx_fake_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.078s)
2023-01-11T21:05:22.0458721Z   test_make_fx_fake_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s)
2023-01-11T21:05:22.0459076Z   test_make_fx_fake_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0459432Z   test_make_fx_fake_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0459798Z   test_make_fx_fake_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0460166Z   test_make_fx_fake_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0460516Z   test_make_fx_fake_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0460882Z   test_make_fx_fake_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0461303Z   test_make_fx_fake_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.020s)
2023-01-11T21:05:22.0461719Z   test_make_fx_fake_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0462065Z   test_make_fx_fake_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2023-01-11T21:05:22.0462431Z   test_make_fx_fake_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.003s)
2023-01-11T21:05:22.0462812Z   test_make_fx_fake_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s)
2023-01-11T21:05:22.0463193Z   test_make_fx_fake_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0463551Z   test_make_fx_fake_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0463938Z   test_make_fx_fake_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0464315Z   test_make_fx_fake_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0464658Z   test_make_fx_fake_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0465026Z   test_make_fx_fake_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s)
2023-01-11T21:05:22.0465406Z   test_make_fx_fake_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0465781Z   test_make_fx_fake_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0466142Z   test_make_fx_fake_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2023-01-11T21:05:22.0466532Z   test_make_fx_fake_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0466938Z   test_make_fx_fake_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0467297Z   test_make_fx_fake_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0467662Z   test_make_fx_fake_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2023-01-11T21:05:22.0468038Z   test_make_fx_fake_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0468397Z   test_make_fx_fake_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2023-01-11T21:05:22.0468765Z   test_make_fx_fake_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2023-01-11T21:05:22.0469125Z   test_make_fx_fake_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0469499Z   test_make_fx_fake_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0469878Z   test_make_fx_fake_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0470243Z   test_make_fx_fake_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2023-01-11T21:05:22.0470610Z   test_make_fx_fake_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.859s)
2023-01-11T21:05:22.0470971Z   test_make_fx_fake_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0471328Z   test_make_fx_fake_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.234s)
2023-01-11T21:05:22.0471686Z   test_make_fx_fake_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2023-01-11T21:05:22.0472114Z   test_make_fx_fake_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0472503Z   test_make_fx_fake_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0472894Z   test_make_fx_fake_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0473331Z   test_make_fx_fake_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2023-01-11T21:05:22.0473688Z   test_make_fx_fake_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0474043Z   test_make_fx_fake_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0474396Z   test_make_fx_fake_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s)
2023-01-11T21:05:22.0474757Z   test_make_fx_fake_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0475154Z   test_make_fx_fake_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0475527Z   test_make_fx_fake_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0475892Z   test_make_fx_fake_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.003s)
2023-01-11T21:05:22.0476266Z   test_make_fx_fake_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0476623Z   test_make_fx_fake_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0476979Z   test_make_fx_fake_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0477316Z   test_make_fx_fake_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0477720Z   test_make_fx_fake_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0478117Z   test_make_fx_fake_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0478482Z   test_make_fx_fake_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0478828Z   test_make_fx_fake_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0479182Z   test_make_fx_fake_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.702s)
2023-01-11T21:05:22.0479544Z   test_make_fx_fake_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2023-01-11T21:05:22.0479891Z   test_make_fx_fake_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0480253Z   test_make_fx_fake_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0480626Z   test_make_fx_fake_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0480998Z   test_make_fx_fake_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2023-01-11T21:05:22.0481349Z   test_make_fx_fake_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0481713Z   test_make_fx_fake_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s)
2023-01-11T21:05:22.0482076Z   test_make_fx_fake_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2023-01-11T21:05:22.0482438Z   test_make_fx_fake_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2023-01-11T21:05:22.0482785Z   test_make_fx_fake_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0483153Z   test_make_fx_fake_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0483641Z   test_make_fx_fake_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0484010Z   test_make_fx_fake_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2023-01-11T21:05:22.0484359Z   test_make_fx_fake_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0484724Z   test_make_fx_fake_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2023-01-11T21:05:22.0485088Z   test_make_fx_fake_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2023-01-11T21:05:22.0485435Z   test_make_fx_fake_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0485797Z   test_make_fx_fake_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0486161Z   test_make_fx_fake_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0486533Z   test_make_fx_fake_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0486882Z   test_make_fx_fake_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0487243Z   test_make_fx_fake_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0487601Z   test_make_fx_fake_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0487962Z   test_make_fx_fake_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0488304Z   test_make_fx_fake_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0488664Z   test_make_fx_fake_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0489086Z   test_make_fx_fake_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s)
2023-01-11T21:05:22.0489477Z   test_make_fx_fake_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0489847Z   test_make_fx_fake_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2023-01-11T21:05:22.0490214Z   test_make_fx_fake_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0490568Z   test_make_fx_fake_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0490911Z   test_make_fx_fake_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0491263Z   test_make_fx_fake_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0491624Z   test_make_fx_fake_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0491982Z   test_make_fx_fake_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0492329Z   test_make_fx_fake_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0492692Z   test_make_fx_fake_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0493049Z   test_make_fx_fake_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0493395Z   test_make_fx_fake_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.407s)
2023-01-11T21:05:22.0493760Z   test_make_fx_fake_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.421s)
2023-01-11T21:05:22.0494135Z   test_make_fx_fake_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.665s)
2023-01-11T21:05:22.0494502Z   test_make_fx_fake_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0494842Z   test_make_fx_fake_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0495205Z   test_make_fx_fake_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2023-01-11T21:05:22.0495570Z   test_make_fx_fake_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.995s)
2023-01-11T21:05:22.0495936Z   test_make_fx_fake_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.127s)
2023-01-11T21:05:22.0496294Z   test_make_fx_fake_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.058s)
2023-01-11T21:05:22.0496662Z   test_make_fx_fake_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0497022Z   test_make_fx_fake_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0497381Z   test_make_fx_fake_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0497720Z   test_make_fx_fake_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0498080Z   test_make_fx_fake_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0498438Z   test_make_fx_fake_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0498790Z   test_make_fx_fake_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.228s)
2023-01-11T21:05:22.0499159Z   test_make_fx_fake_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0499527Z   test_make_fx_fake_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0499892Z   test_make_fx_fake_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0500286Z   test_make_fx_fake_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2023-01-11T21:05:22.0500687Z   test_make_fx_fake_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0501053Z   test_make_fx_fake_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0501408Z   test_make_fx_fake_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2023-01-11T21:05:22.0501755Z   test_make_fx_fake_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.238s)
2023-01-11T21:05:22.0502119Z   test_make_fx_fake_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2023-01-11T21:05:22.0502478Z   test_make_fx_fake_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0502824Z   test_make_fx_fake_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0503181Z   test_make_fx_fake_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0503545Z   test_make_fx_fake_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0503910Z   test_make_fx_fake_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0504263Z   test_make_fx_fake_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2023-01-11T21:05:22.0504667Z   test_make_fx_fake_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0505117Z   test_make_fx_fake_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0505552Z   test_make_fx_fake_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0505974Z   test_make_fx_fake_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0506405Z   test_make_fx_fake_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0506794Z   test_make_fx_fake_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0506970Z   test_make_fx_fake_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s)
2023-01-11T21:05:22.0507143Z   test_make_fx_fake_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0507309Z   test_make_fx_fake_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0507463Z   test_make_fx_fake_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0507641Z   test_make_fx_fake_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0507825Z   test_make_fx_fake_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s)
2023-01-11T21:05:22.0508010Z   test_make_fx_fake_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s)
2023-01-11T21:05:22.0508189Z   test_make_fx_fake_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0508366Z   test_make_fx_fake_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0508542Z   test_make_fx_fake_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0508729Z   test_make_fx_fake_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s)
2023-01-11T21:05:22.0508943Z   test_make_fx_fake_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.094s)
2023-01-11T21:05:22.0509110Z   test_make_fx_fake_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0509356Z   test_make_fx_fake_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2023-01-11T21:05:22.0509542Z   test_make_fx_fake_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0509739Z   test_make_fx_fake_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2023-01-11T21:05:22.0509912Z   test_make_fx_fake_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0510093Z   test_make_fx_fake_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0510278Z   test_make_fx_fake_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0510468Z   test_make_fx_fake_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0510651Z   test_make_fx_fake_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0510844Z   test_make_fx_fake_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0511039Z   test_make_fx_fake_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0511216Z   test_make_fx_fake_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2023-01-11T21:05:22.0511397Z   test_make_fx_fake_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2023-01-11T21:05:22.0511583Z   test_make_fx_fake_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2023-01-11T21:05:22.0511766Z   test_make_fx_fake_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.482s)
2023-01-11T21:05:22.0511953Z   test_make_fx_fake_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.381s)
2023-01-11T21:05:22.0512138Z   test_make_fx_fake_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2023-01-11T21:05:22.0512322Z   test_make_fx_fake_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.998s)
2023-01-11T21:05:22.0512514Z   test_make_fx_fake_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.242s)
2023-01-11T21:05:22.0512682Z   test_make_fx_fake_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0512858Z   test_make_fx_fake_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.485s)
2023-01-11T21:05:22.0513130Z   test_make_fx_fake_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.359s)
2023-01-11T21:05:22.0513312Z   test_make_fx_fake_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.236s)
2023-01-11T21:05:22.0513501Z   test_make_fx_fake_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0513753Z   test_make_fx_fake_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:05:22.0513930Z   test_make_fx_fake_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.164s)
2023-01-11T21:05:22.0514111Z   test_make_fx_fake_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0514289Z   test_make_fx_fake_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2023-01-11T21:05:22.0514505Z   test_make_fx_fake_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s)
2023-01-11T21:05:22.0514712Z   test_make_fx_fake_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.075s)
2023-01-11T21:05:22.0514889Z   test_make_fx_fake_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.515s)
2023-01-11T21:05:22.0515064Z   test_make_fx_fake_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.170s)
2023-01-11T21:05:22.0515245Z   test_make_fx_fake_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0515428Z   test_make_fx_fake_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0515607Z   test_make_fx_fake_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0515787Z   test_make_fx_fake_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.219s)
2023-01-11T21:05:22.0515970Z   test_make_fx_fake_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.400s)
2023-01-11T21:05:22.0516144Z   test_make_fx_fake_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.352s)
2023-01-11T21:05:22.0516301Z   test_make_fx_fake_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0516467Z   test_make_fx_fake_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0516635Z   test_make_fx_fake_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0516801Z   test_make_fx_fake_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0516975Z   test_make_fx_fake_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0517165Z   test_make_fx_fake_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2023-01-11T21:05:22.0517343Z   test_make_fx_fake_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0517519Z   test_make_fx_fake_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0517699Z   test_make_fx_fake_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0517858Z   test_make_fx_fake_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.152s)
2023-01-11T21:05:22.0518033Z   test_make_fx_fake_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0518210Z   test_make_fx_fake_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0518384Z   test_make_fx_fake_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0518561Z   test_make_fx_fake_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0518729Z   test_make_fx_fake_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0518903Z   test_make_fx_fake_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.789s)
2023-01-11T21:05:22.0519078Z   test_make_fx_fake_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2023-01-11T21:05:22.0519245Z   test_make_fx_fake_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0519397Z   test_make_fx_fake_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0519562Z   test_make_fx_fake_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.160s)
2023-01-11T21:05:22.0519765Z   test_make_fx_fake_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s)
2023-01-11T21:05:22.0519967Z   test_make_fx_fake_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2023-01-11T21:05:22.0520132Z   test_make_fx_fake_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0520298Z   test_make_fx_fake_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0520476Z   test_make_fx_fake_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.598s)
2023-01-11T21:05:22.0520652Z   test_make_fx_fake_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.597s)
2023-01-11T21:05:22.0520833Z   test_make_fx_fake_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.636s)
2023-01-11T21:05:22.0521000Z   test_make_fx_fake_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.641s)
2023-01-11T21:05:22.0521184Z   test_make_fx_fake_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2023-01-11T21:05:22.0521362Z   test_make_fx_fake_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2023-01-11T21:05:22.0521538Z   test_make_fx_fake_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0521722Z   test_make_fx_fake_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.141s)
2023-01-11T21:05:22.0521909Z   test_make_fx_fake_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s)
2023-01-11T21:05:22.0522091Z   test_make_fx_fake_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.951s)
2023-01-11T21:05:22.0522267Z   test_make_fx_fake_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.457s)
2023-01-11T21:05:22.0522448Z   test_make_fx_fake_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2023-01-11T21:05:22.0522611Z   test_make_fx_fake_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.881s)
2023-01-11T21:05:22.0522795Z   test_make_fx_fake_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.373s)
2023-01-11T21:05:22.0522969Z   test_make_fx_fake_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.638s)
2023-01-11T21:05:22.0523150Z   test_make_fx_fake_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2023-01-11T21:05:22.0523495Z   test_make_fx_fake_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s)
2023-01-11T21:05:22.0523680Z   test_make_fx_fake_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0523860Z   test_make_fx_fake_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.150s)
2023-01-11T21:05:22.0524038Z   test_make_fx_fake_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.959s)
2023-01-11T21:05:22.0524214Z   test_make_fx_fake_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.607s)
2023-01-11T21:05:22.0524388Z   test_make_fx_fake_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.933s)
2023-01-11T21:05:22.0524546Z   test_make_fx_fake_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2023-01-11T21:05:22.0524717Z   test_make_fx_fake_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0524893Z   test_make_fx_fake_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0525094Z   test_make_fx_fake_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.171s)
2023-01-11T21:05:22.0525346Z   test_make_fx_fake_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2023-01-11T21:05:22.0525584Z   test_make_fx_fake_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0525761Z   test_make_fx_fake_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0525930Z   test_make_fx_fake_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0526101Z   test_make_fx_fake_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s)
2023-01-11T21:05:22.0526279Z   test_make_fx_fake_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0526470Z   test_make_fx_fake_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0526647Z   test_make_fx_fake_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0526838Z   test_make_fx_fake_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0527028Z   test_make_fx_fake_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0527202Z   test_make_fx_fake_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0527368Z   test_make_fx_fake_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0527537Z   test_make_fx_fake_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0527709Z   test_make_fx_fake_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2023-01-11T21:05:22.0527871Z   test_make_fx_fake_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0528039Z   test_make_fx_fake_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0528240Z   test_make_fx_fake_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2023-01-11T21:05:22.0528406Z   test_make_fx_fake_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0528594Z   test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0528777Z   test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0528966Z   test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0529139Z   test_make_fx_fake_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0529311Z   test_make_fx_fake_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.296s)
2023-01-11T21:05:22.0529476Z   test_make_fx_fake_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0529675Z   test_make_fx_fake_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0529845Z   test_make_fx_fake_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s)
2023-01-11T21:05:22.0530021Z   test_make_fx_fake_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0530209Z   test_make_fx_fake_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s)
2023-01-11T21:05:22.0530392Z   test_make_fx_fake_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.211s)
2023-01-11T21:05:22.0530618Z   test_make_fx_fake_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s)
2023-01-11T21:05:22.0530834Z   test_make_fx_fake_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2023-01-11T21:05:22.0531002Z   test_make_fx_fake_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0531158Z   test_make_fx_fake_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0531350Z   test_make_fx_fake_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0531586Z   test_make_fx_fake_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:05:22.0531759Z   test_make_fx_fake_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2023-01-11T21:05:22.0531933Z   test_make_fx_fake_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2023-01-11T21:05:22.0532107Z   test_make_fx_fake_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2023-01-11T21:05:22.0532284Z   test_make_fx_fake_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0532495Z   test_make_fx_fake_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.696s)
2023-01-11T21:05:22.0532700Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0532900Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0533087Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2023-01-11T21:05:22.0533290Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0533489Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s)
2023-01-11T21:05:22.0533686Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2023-01-11T21:05:22.0533881Z   test_make_fx_fake_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0534071Z   test_make_fx_fake_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2023-01-11T21:05:22.0534259Z   test_make_fx_fake_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2023-01-11T21:05:22.0534450Z   test_make_fx_fake_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0534641Z   test_make_fx_fake_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.380s)
2023-01-11T21:05:22.0534831Z   test_make_fx_fake_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.150s)
2023-01-11T21:05:22.0535018Z   test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.183s)
2023-01-11T21:05:22.0535232Z   test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.275s)
2023-01-11T21:05:22.0535416Z   test_make_fx_fake_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0535604Z   test_make_fx_fake_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2023-01-11T21:05:22.0535789Z   test_make_fx_fake_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.433s)
2023-01-11T21:05:22.0536014Z   test_make_fx_fake_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0536250Z   test_make_fx_fake_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.167s)
2023-01-11T21:05:22.0536445Z   test_make_fx_fake_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.147s)
2023-01-11T21:05:22.0536650Z   test_make_fx_fake_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.236s)
2023-01-11T21:05:22.0536847Z   test_make_fx_fake_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.153s)
2023-01-11T21:05:22.0537026Z   test_make_fx_fake_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.271s)
2023-01-11T21:05:22.0537260Z   test_make_fx_fake_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.005s)
2023-01-11T21:05:22.0538295Z   test_make_fx_fake_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0538541Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0539366Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0539609Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0540430Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0540671Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0541482Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0541716Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0542528Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0542828Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0543644Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0543883Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0543953Z ok (0.090s)
2023-01-11T21:05:22.0544150Z   test_make_fx_fake_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s)
2023-01-11T21:05:22.0544346Z   test_make_fx_fake_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.131s)
2023-01-11T21:05:22.0544533Z   test_make_fx_fake_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0544729Z   test_make_fx_fake_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.495s)
2023-01-11T21:05:22.0544909Z   test_make_fx_fake_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2023-01-11T21:05:22.0545126Z   test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0545343Z   test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0545552Z   test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.371s)
2023-01-11T21:05:22.0545750Z   test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.493s)
2023-01-11T21:05:22.0545964Z   test_make_fx_fake_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s)
2023-01-11T21:05:22.0546153Z   test_make_fx_fake_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0546338Z   test_make_fx_fake_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.194s)
2023-01-11T21:05:22.0546530Z   test_make_fx_fake_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.827s)
2023-01-11T21:05:22.0546725Z   test_make_fx_fake_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.150s)
2023-01-11T21:05:22.0546905Z   test_make_fx_fake_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0547101Z   test_make_fx_fake_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0547292Z   test_make_fx_fake_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0547481Z   test_make_fx_fake_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2023-01-11T21:05:22.0547682Z   test_make_fx_fake_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.289s)
2023-01-11T21:05:22.0547871Z   test_make_fx_fake_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2023-01-11T21:05:22.0548100Z   test_make_fx_fake_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.337s)
2023-01-11T21:05:22.0548328Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2023-01-11T21:05:22.0548532Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.723s)
2023-01-11T21:05:22.0548735Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.124s)
2023-01-11T21:05:22.0548922Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s)
2023-01-11T21:05:22.0549123Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2023-01-11T21:05:22.0549326Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0550107Z   test_make_fx_fake_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0550331Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0550932Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0551155Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0551751Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0551972Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0552571Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0552787Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0552857Z ok (0.118s)
2023-01-11T21:05:22.0553112Z   test_make_fx_fake_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0553296Z   test_make_fx_fake_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0553488Z   test_make_fx_fake_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0553675Z   test_make_fx_fake_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s)
2023-01-11T21:05:22.0553875Z   test_make_fx_fake_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2023-01-11T21:05:22.0554065Z   test_make_fx_fake_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2023-01-11T21:05:22.0554297Z   test_make_fx_fake_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.227s)
2023-01-11T21:05:22.0554511Z   test_make_fx_fake_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.744s)
2023-01-11T21:05:22.0554694Z   test_make_fx_fake_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.705s)
2023-01-11T21:05:22.0554884Z   test_make_fx_fake_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.271s)
2023-01-11T21:05:22.0555089Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0555274Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.227s)
2023-01-11T21:05:22.0555481Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:05:22.0555680Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.309s)
2023-01-11T21:05:22.0555887Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0556085Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2023-01-11T21:05:22.0556269Z   test_make_fx_fake_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0556455Z   test_make_fx_fake_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0556648Z   test_make_fx_fake_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0556851Z   test_make_fx_fake_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0557059Z   test_make_fx_fake_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2023-01-11T21:05:22.0557248Z   test_make_fx_fake_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0557440Z   test_make_fx_fake_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2023-01-11T21:05:22.0557633Z   test_make_fx_fake_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.183s)
2023-01-11T21:05:22.0557823Z   test_make_fx_fake_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.201s)
2023-01-11T21:05:22.0558016Z   test_make_fx_fake_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2023-01-11T21:05:22.0558211Z   test_make_fx_fake_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0558409Z   test_make_fx_fake_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2023-01-11T21:05:22.0558596Z   test_make_fx_fake_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2023-01-11T21:05:22.0558786Z   test_make_fx_fake_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2023-01-11T21:05:22.0558982Z   test_make_fx_fake_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0559161Z   test_make_fx_fake_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.849s)
2023-01-11T21:05:22.0559348Z   test_make_fx_fake_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.147s)
2023-01-11T21:05:22.0559561Z   test_make_fx_fake_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0559775Z   test_make_fx_fake_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0559958Z   test_make_fx_fake_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2023-01-11T21:05:22.0560142Z   test_make_fx_fake_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0560324Z   test_make_fx_fake_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0560514Z   test_make_fx_fake_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0560709Z   test_make_fx_fake_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0560886Z   test_make_fx_fake_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0561084Z   test_make_fx_fake_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0561274Z   test_make_fx_fake_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0561462Z   test_make_fx_fake_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0561647Z   test_make_fx_fake_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0561838Z   test_make_fx_fake_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0562026Z   test_make_fx_fake_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0562226Z   test_make_fx_fake_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s)
2023-01-11T21:05:22.0562443Z   test_make_fx_fake_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s)
2023-01-11T21:05:22.0562629Z   test_make_fx_fake_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.885s)
2023-01-11T21:05:22.0563176Z   test_make_fx_fake_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0563465Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0563842Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0564043Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0564411Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0564603Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0564969Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0565161Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0565230Z ok (0.241s)
2023-01-11T21:05:22.0565789Z   test_make_fx_fake_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0566095Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0566452Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0566644Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0567007Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0567195Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0567560Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0567754Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0568117Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0568306Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0568668Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0568862Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0569228Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0569404Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0569762Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0569952Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0570313Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0570499Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0570858Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0571054Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0571411Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0571595Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0571948Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0572125Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0572193Z ok (0.053s)
2023-01-11T21:05:22.0572411Z   test_make_fx_fake_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s)
2023-01-11T21:05:22.0572619Z   test_make_fx_fake_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2023-01-11T21:05:22.0572821Z   test_make_fx_fake_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0572995Z   test_make_fx_fake_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0573165Z   test_make_fx_fake_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0573337Z   test_make_fx_fake_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0573519Z   test_make_fx_fake_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0573673Z   test_make_fx_fake_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0573851Z   test_make_fx_fake_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0574024Z   test_make_fx_fake_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.121s)
2023-01-11T21:05:22.0574195Z   test_make_fx_fake_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0574371Z   test_make_fx_fake_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.193s)
2023-01-11T21:05:22.0574546Z   test_make_fx_fake_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0574720Z   test_make_fx_fake_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s)
2023-01-11T21:05:22.0574889Z   test_make_fx_fake_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2023-01-11T21:05:22.0575081Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0575264Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0575458Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0575650Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0575835Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0576007Z   test_make_fx_fake_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0576175Z   test_make_fx_fake_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0576345Z   test_make_fx_fake_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0576514Z   test_make_fx_fake_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.103s)
2023-01-11T21:05:22.0576682Z   test_make_fx_fake_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s)
2023-01-11T21:05:22.0576861Z   test_make_fx_fake_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0577034Z   test_make_fx_fake_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0577208Z   test_make_fx_fake_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0577377Z   test_make_fx_fake_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.120s)
2023-01-11T21:05:22.0577554Z   test_make_fx_fake_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2023-01-11T21:05:22.0577727Z   test_make_fx_fake_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0577938Z   test_make_fx_fake_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2023-01-11T21:05:22.0578142Z   test_make_fx_fake_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0578313Z   test_make_fx_fake_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2023-01-11T21:05:22.0578474Z   test_make_fx_fake_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0578652Z   test_make_fx_fake_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0578824Z   test_make_fx_fake_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0578991Z   test_make_fx_fake_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2023-01-11T21:05:22.0579224Z   test_make_fx_fake_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.014s)
2023-01-11T21:05:22.0579400Z   test_make_fx_fake_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0579574Z   test_make_fx_fake_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0579745Z   test_make_fx_fake_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0579919Z   test_make_fx_fake_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0580084Z   test_make_fx_fake_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0580262Z   test_make_fx_fake_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0580430Z   test_make_fx_fake_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2023-01-11T21:05:22.0580601Z   test_make_fx_fake_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0580769Z   test_make_fx_fake_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0580954Z   test_make_fx_fake_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0581137Z   test_make_fx_fake_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0581325Z   test_make_fx_fake_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0581497Z   test_make_fx_fake_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0581653Z   test_make_fx_fake_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2023-01-11T21:05:22.0581841Z   test_make_fx_fake_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0582020Z   test_make_fx_fake_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0582192Z   test_make_fx_fake_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s)
2023-01-11T21:05:22.0582376Z   test_make_fx_fake_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s)
2023-01-11T21:05:22.0582556Z   test_make_fx_fake_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s)
2023-01-11T21:05:22.0582736Z   test_make_fx_fake_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s)
2023-01-11T21:05:22.0582913Z   test_make_fx_fake_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s)
2023-01-11T21:05:22.0583096Z   test_make_fx_fake_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2023-01-11T21:05:22.0583305Z   test_make_fx_fake_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.086s)
2023-01-11T21:05:22.0583537Z   test_make_fx_fake_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2023-01-11T21:05:22.0583725Z   test_make_fx_fake_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.987s)
2023-01-11T21:05:22.0583893Z   test_make_fx_fake_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0584072Z   test_make_fx_fake_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0584240Z   test_make_fx_fake_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0584410Z   test_make_fx_fake_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2023-01-11T21:05:22.0584583Z   test_make_fx_fake_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0584750Z   test_make_fx_fake_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0584939Z   test_make_fx_fake_exhaustive_signal_windows_bartlett_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s)
2023-01-11T21:05:22.0585113Z   test_make_fx_fake_exhaustive_signal_windows_blackman_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.186s)
2023-01-11T21:05:22.0585303Z   test_make_fx_fake_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.104s)
2023-01-11T21:05:22.0585496Z   test_make_fx_fake_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2023-01-11T21:05:22.0585687Z   test_make_fx_fake_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2023-01-11T21:05:22.0585884Z   test_make_fx_fake_exhaustive_signal_windows_general_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s)
2023-01-11T21:05:22.0586083Z   test_make_fx_fake_exhaustive_signal_windows_general_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.371s)
2023-01-11T21:05:22.0586269Z   test_make_fx_fake_exhaustive_signal_windows_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.181s)
2023-01-11T21:05:22.0586450Z   test_make_fx_fake_exhaustive_signal_windows_hann_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2023-01-11T21:05:22.0586635Z   test_make_fx_fake_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s)
2023-01-11T21:05:22.0586808Z   test_make_fx_fake_exhaustive_signal_windows_nuttall_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2023-01-11T21:05:22.0586980Z   test_make_fx_fake_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0587148Z   test_make_fx_fake_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0587318Z   test_make_fx_fake_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0587488Z   test_make_fx_fake_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2023-01-11T21:05:22.0587658Z   test_make_fx_fake_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0587834Z   test_make_fx_fake_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0588006Z   test_make_fx_fake_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0588192Z   test_make_fx_fake_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2023-01-11T21:05:22.0588346Z   test_make_fx_fake_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.254s)
2023-01-11T21:05:22.0588589Z   test_make_fx_fake_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.001s)
2023-01-11T21:05:22.0588800Z   test_make_fx_fake_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0588988Z   test_make_fx_fake_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0589170Z   test_make_fx_fake_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0589351Z   test_make_fx_fake_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0589531Z   test_make_fx_fake_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0589728Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0589928Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0590328Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0590704Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0590884Z   test_make_fx_fake_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2023-01-11T21:05:22.0591065Z   test_make_fx_fake_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0591260Z   test_make_fx_fake_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0591458Z   test_make_fx_fake_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0591639Z   test_make_fx_fake_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0591815Z   test_make_fx_fake_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0591991Z   test_make_fx_fake_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0592188Z   test_make_fx_fake_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2023-01-11T21:05:22.0592576Z   test_make_fx_fake_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0592750Z   test_make_fx_fake_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0592945Z   test_make_fx_fake_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0593204Z   test_make_fx_fake_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0593396Z   test_make_fx_fake_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0593588Z   test_make_fx_fake_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0593767Z   test_make_fx_fake_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2023-01-11T21:05:22.0593951Z   test_make_fx_fake_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0594161Z   test_make_fx_fake_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0594432Z   test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0594638Z   test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0595029Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0595426Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0595814Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0596205Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0596404Z   test_make_fx_fake_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0596589Z   test_make_fx_fake_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2023-01-11T21:05:22.0596769Z   test_make_fx_fake_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0596942Z   test_make_fx_fake_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0597120Z   test_make_fx_fake_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0597305Z   test_make_fx_fake_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0597474Z   test_make_fx_fake_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0597636Z   test_make_fx_fake_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0597810Z   test_make_fx_fake_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0597979Z   test_make_fx_fake_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0598148Z   test_make_fx_fake_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0598321Z   test_make_fx_fake_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0598506Z   test_make_fx_fake_exhaustive_std_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2023-01-11T21:05:22.0598687Z   test_make_fx_fake_exhaustive_std_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2023-01-11T21:05:22.0598858Z   test_make_fx_fake_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2023-01-11T21:05:22.0599026Z   test_make_fx_fake_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0599174Z   test_make_fx_fake_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0599350Z   test_make_fx_fake_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2023-01-11T21:05:22.0599516Z   test_make_fx_fake_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.590s)
2023-01-11T21:05:22.0599692Z   test_make_fx_fake_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.529s)
2023-01-11T21:05:22.0599863Z   test_make_fx_fake_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s)
2023-01-11T21:05:22.0600096Z   test_make_fx_fake_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2023-01-11T21:05:22.0600311Z   test_make_fx_fake_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0600484Z   test_make_fx_fake_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s)
2023-01-11T21:05:22.0600652Z   test_make_fx_fake_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0600807Z   test_make_fx_fake_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0601001Z   test_make_fx_fake_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s)
2023-01-11T21:05:22.0601178Z   test_make_fx_fake_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0601351Z   test_make_fx_fake_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.204s)
2023-01-11T21:05:22.0601519Z   test_make_fx_fake_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s)
2023-01-11T21:05:22.0601712Z   test_make_fx_fake_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0601881Z   test_make_fx_fake_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2023-01-11T21:05:22.0602052Z   test_make_fx_fake_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0602228Z   test_make_fx_fake_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0602388Z   test_make_fx_fake_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2023-01-11T21:05:22.0602559Z   test_make_fx_fake_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2023-01-11T21:05:22.0602748Z   test_make_fx_fake_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2023-01-11T21:05:22.0602918Z   test_make_fx_fake_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2023-01-11T21:05:22.0603084Z   test_make_fx_fake_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0603262Z   test_make_fx_fake_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0603549Z   test_make_fx_fake_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0603722Z   test_make_fx_fake_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2023-01-11T21:05:22.0603884Z   test_make_fx_fake_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0604062Z   test_make_fx_fake_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2023-01-11T21:05:22.0604238Z   test_make_fx_fake_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2023-01-11T21:05:22.0604413Z   test_make_fx_fake_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0604646Z   test_make_fx_fake_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.003s)
2023-01-11T21:05:22.0604865Z   test_make_fx_fake_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.003s)
2023-01-11T21:05:22.0605041Z   test_make_fx_fake_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0605210Z   test_make_fx_fake_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0605386Z   test_make_fx_fake_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0605623Z   test_make_fx_fake_exhaustive_var_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2023-01-11T21:05:22.0605837Z   test_make_fx_fake_exhaustive_var_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2023-01-11T21:05:22.0606008Z   test_make_fx_fake_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2023-01-11T21:05:22.0606189Z   test_make_fx_fake_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s)
2023-01-11T21:05:22.0606365Z   test_make_fx_fake_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0606539Z   test_make_fx_fake_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0606710Z   test_make_fx_fake_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2023-01-11T21:05:22.0606883Z   test_make_fx_fake_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0607052Z   test_make_fx_fake_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2023-01-11T21:05:22.0607224Z   test_make_fx_fake_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0607375Z   test_make_fx_fake_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2023-01-11T21:05:22.0607537Z   test_make_fx_fake_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0607706Z   test_make_fx_fake_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0607882Z   test_make_fx_fake_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0608049Z   test_make_fx_symbolic_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0608212Z   test_make_fx_symbolic_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2023-01-11T21:05:22.0608441Z   test_make_fx_symbolic_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.514s)
2023-01-11T21:05:22.0608619Z   test_make_fx_symbolic_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.509s)
2023-01-11T21:05:22.0608795Z   test_make_fx_symbolic_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.368s)
2023-01-11T21:05:22.0608963Z   test_make_fx_symbolic_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.035s)
2023-01-11T21:05:22.0609141Z   test_make_fx_symbolic_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.296s)
2023-01-11T21:05:22.0609317Z   test_make_fx_symbolic_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.291s)
2023-01-11T21:05:22.0609984Z   test_make_fx_symbolic_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0610123Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0610618Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0610755Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0611251Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0611426Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0611941Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0612079Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0612568Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0612689Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0613171Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0613313Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0613800Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0613936Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0614421Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0614560Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0615046Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:22.0615181Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:05:22.0615249Z ok (0.430s)
2023-01-11T21:05:22.0615429Z   test_make_fx_symbolic_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.288s)
2023-01-11T21:05:22.0615616Z   test_make_fx_symbolic_exhaustive__native_batch_norm_legit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.424s)
2023-01-11T21:05:22.0615816Z   test_make_fx_symbolic_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s)
2023-01-11T21:05:22.0615994Z   test_make_fx_symbolic_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0616172Z   test_make_fx_symbolic_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0616353Z   test_make_fx_symbolic_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0616528Z   test_make_fx_symbolic_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.561s)
2023-01-11T21:05:22.0616709Z   test_make_fx_symbolic_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s)
2023-01-11T21:05:22.0616891Z   test_make_fx_symbolic_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.541s)
2023-01-11T21:05:22.0617071Z   test_make_fx_symbolic_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.536s)
2023-01-11T21:05:22.0617235Z   test_make_fx_symbolic_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.152s)
2023-01-11T21:05:22.0617462Z   test_make_fx_symbolic_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.153s)
2023-01-11T21:05:22.0617699Z   test_make_fx_symbolic_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s)
2023-01-11T21:05:22.0617906Z   test_make_fx_symbolic_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.318s)
2023-01-11T21:05:22.0618082Z   test_make_fx_symbolic_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.654s)
2023-01-11T21:05:22.0618277Z   test_make_fx_symbolic_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2023-01-11T21:05:22.0618453Z   test_make_fx_symbolic_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.517s)
2023-01-11T21:05:22.0618625Z   test_make_fx_symbolic_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.515s)
2023-01-11T21:05:22.0618820Z   test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0618985Z   test_make_fx_symbolic_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0619164Z   test_make_fx_symbolic_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.816s)
2023-01-11T21:05:22.0619340Z   test_make_fx_symbolic_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s)
2023-01-11T21:05:22.0619517Z   test_make_fx_symbolic_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.226s)
2023-01-11T21:05:22.0619694Z   test_make_fx_symbolic_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.228s)
2023-01-11T21:05:22.0619870Z   test_make_fx_symbolic_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.707s)
2023-01-11T21:05:22.0620096Z   test_make_fx_symbolic_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.009s)
2023-01-11T21:05:22.0620279Z   test_make_fx_symbolic_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2023-01-11T21:05:22.0620475Z   test_make_fx_symbolic_exhaustive_as_strided_partial_views_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0620663Z   test_make_fx_symbolic_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.246s)
2023-01-11T21:05:22.0620823Z   test_make_fx_symbolic_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0620999Z   test_make_fx_symbolic_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0621172Z   test_make_fx_symbolic_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2023-01-11T21:05:22.0621345Z   test_make_fx_symbolic_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0621522Z   test_make_fx_symbolic_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0621701Z   test_make_fx_symbolic_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s)
2023-01-11T21:05:22.0621885Z   test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0622062Z   test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s)
2023-01-11T21:05:22.0622257Z   test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s)
2023-01-11T21:05:22.0622424Z   test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0622601Z   test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.181s)
2023-01-11T21:05:22.0622793Z   test_make_fx_symbolic_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0623003Z   test_make_fx_symbolic_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2023-01-11T21:05:22.0623205Z   test_make_fx_symbolic_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.163s)
2023-01-11T21:05:22.0623397Z   test_make_fx_symbolic_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0623587Z   test_make_fx_symbolic_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2023-01-11T21:05:22.0623771Z   test_make_fx_symbolic_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.307s)
2023-01-11T21:05:22.0623966Z   test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2023-01-11T21:05:22.0624127Z   test_make_fx_symbolic_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2023-01-11T21:05:22.0624334Z   test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0624508Z   test_make_fx_symbolic_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.339s)
2023-01-11T21:05:22.0624698Z   test_make_fx_symbolic_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2023-01-11T21:05:22.0624876Z   test_make_fx_symbolic_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2023-01-11T21:05:22.0625050Z   test_make_fx_symbolic_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0625227Z   test_make_fx_symbolic_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2023-01-11T21:05:22.0625402Z   test_make_fx_symbolic_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s)
2023-01-11T21:05:22.0625579Z   test_make_fx_symbolic_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s)
2023-01-11T21:05:22.0625764Z   test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s)
2023-01-11T21:05:22.0625971Z   test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s)
2023-01-11T21:05:22.0626174Z   test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0626348Z   test_make_fx_symbolic_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.658s)
2023-01-11T21:05:22.0626524Z   test_make_fx_symbolic_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.424s)
2023-01-11T21:05:22.0626704Z   test_make_fx_symbolic_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.513s)
2023-01-11T21:05:22.0626886Z   test_make_fx_symbolic_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.516s)
2023-01-11T21:05:22.0627056Z   test_make_fx_symbolic_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0627260Z   test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.070s)
2023-01-11T21:05:22.0627458Z   test_make_fx_symbolic_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s)
2023-01-11T21:05:22.0627624Z   test_make_fx_symbolic_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2023-01-11T21:05:22.0627799Z   test_make_fx_symbolic_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0627981Z   test_make_fx_symbolic_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0628166Z   test_make_fx_symbolic_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.720s)
2023-01-11T21:05:22.0628386Z   test_make_fx_symbolic_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0628593Z   test_make_fx_symbolic_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.602s)
2023-01-11T21:05:22.0628790Z   test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0628962Z   test_make_fx_symbolic_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0629134Z   test_make_fx_symbolic_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0629319Z   test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s)
2023-01-11T21:05:22.0629510Z   test_make_fx_symbolic_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s)
2023-01-11T21:05:22.0629703Z   test_make_fx_symbolic_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2023-01-11T21:05:22.0629896Z   test_make_fx_symbolic_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0630086Z   test_make_fx_symbolic_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0630282Z   test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0630459Z   test_make_fx_symbolic_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.479s)
2023-01-11T21:05:22.0630669Z   test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.332s)
2023-01-11T21:05:22.0630850Z   test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0631015Z   test_make_fx_symbolic_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.435s)
2023-01-11T21:05:22.0631199Z   test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.671s)
2023-01-11T21:05:22.0631379Z   test_make_fx_symbolic_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.331s)
2023-01-11T21:05:22.0631565Z   test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.454s)
2023-01-11T21:05:22.0631746Z   test_make_fx_symbolic_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.404s)
2023-01-11T21:05:22.0631935Z   test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.861s)
2023-01-11T21:05:22.0632123Z   test_make_fx_symbolic_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.048s)
2023-01-11T21:05:22.0632303Z   test_make_fx_symbolic_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0632480Z   test_make_fx_symbolic_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.452s)
2023-01-11T21:05:22.0632670Z   test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.811s)
2023-01-11T21:05:22.0632847Z   test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.289s)
2023-01-11T21:05:22.0633106Z   test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.349s)
2023-01-11T21:05:22.0633286Z   test_make_fx_symbolic_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2023-01-11T21:05:22.0633461Z   test_make_fx_symbolic_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.187s)
2023-01-11T21:05:22.0633699Z   test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.110s)
2023-01-11T21:05:22.0633877Z   test_make_fx_symbolic_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2023-01-11T21:05:22.0634085Z   test_make_fx_symbolic_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.704s)
2023-01-11T21:05:22.0634280Z   test_make_fx_symbolic_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0634475Z   test_make_fx_symbolic_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0634634Z   test_make_fx_symbolic_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.320s)
2023-01-11T21:05:22.0634826Z   test_make_fx_symbolic_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2023-01-11T21:05:22.0634997Z   test_make_fx_symbolic_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0635176Z   test_make_fx_symbolic_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0635355Z   test_make_fx_symbolic_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0635530Z   test_make_fx_symbolic_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0635705Z   test_make_fx_symbolic_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0635885Z   test_make_fx_symbolic_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0636059Z   test_make_fx_symbolic_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2023-01-11T21:05:22.0636222Z   test_make_fx_symbolic_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0636396Z   test_make_fx_symbolic_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.827s)
2023-01-11T21:05:22.0636592Z   test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0636785Z   test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0636976Z   test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0637173Z   test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2023-01-11T21:05:22.0637367Z   test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0637560Z   test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2023-01-11T21:05:22.0637754Z   test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0637946Z   test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2023-01-11T21:05:22.0638120Z   test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0638313Z   test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0638508Z   test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0638702Z   test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0638895Z   test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0639121Z   test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0639346Z   test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0639541Z   test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2023-01-11T21:05:22.0639731Z   test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0639919Z   test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0640099Z   test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0640289Z   test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2023-01-11T21:05:22.0640466Z   test_make_fx_symbolic_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0640646Z   test_make_fx_symbolic_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.206s)
2023-01-11T21:05:22.0640820Z   test_make_fx_symbolic_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.550s)
2023-01-11T21:05:22.0640999Z   test_make_fx_symbolic_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0641177Z   test_make_fx_symbolic_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2023-01-11T21:05:22.0641357Z   test_make_fx_symbolic_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0641540Z   test_make_fx_symbolic_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.434s)
2023-01-11T21:05:22.0641713Z   test_make_fx_symbolic_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0641896Z   test_make_fx_symbolic_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.803s)
2023-01-11T21:05:22.0642067Z   test_make_fx_symbolic_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.288s)
2023-01-11T21:05:22.0642239Z   test_make_fx_symbolic_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.291s)
2023-01-11T21:05:22.0642412Z   test_make_fx_symbolic_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.294s)
2023-01-11T21:05:22.0642584Z   test_make_fx_symbolic_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2023-01-11T21:05:22.0642777Z   test_make_fx_symbolic_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s)
2023-01-11T21:05:22.0642946Z   test_make_fx_symbolic_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0643124Z   test_make_fx_symbolic_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2023-01-11T21:05:22.0643290Z   test_make_fx_symbolic_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0643567Z   test_make_fx_symbolic_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.296s)
2023-01-11T21:05:22.0643763Z   test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0643960Z   test_make_fx_symbolic_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:05:22.0644149Z   test_make_fx_symbolic_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (44.337s)
2023-01-11T21:05:22.0644319Z   test_make_fx_symbolic_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.285s)
2023-01-11T21:05:22.0644552Z   test_make_fx_symbolic_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.177s)
2023-01-11T21:05:22.0644781Z   test_make_fx_symbolic_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.681s)
2023-01-11T21:05:22.0644970Z   test_make_fx_symbolic_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s)
2023-01-11T21:05:22.0645154Z   test_make_fx_symbolic_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s)
2023-01-11T21:05:22.0645355Z   test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2023-01-11T21:05:22.0645547Z   test_make_fx_symbolic_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:05:22.0645724Z   test_make_fx_symbolic_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2023-01-11T21:05:22.0645903Z   test_make_fx_symbolic_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2023-01-11T21:05:22.0646094Z   test_make_fx_symbolic_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0646271Z   test_make_fx_symbolic_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.521s)
2023-01-11T21:05:22.0646450Z   test_make_fx_symbolic_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.294s)
2023-01-11T21:05:22.0646629Z   test_make_fx_symbolic_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.276s)
2023-01-11T21:05:22.0646807Z   test_make_fx_symbolic_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2023-01-11T21:05:22.0646974Z   test_make_fx_symbolic_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2023-01-11T21:05:22.0647153Z   test_make_fx_symbolic_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0647352Z   test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2023-01-11T21:05:22.0647537Z   test_make_fx_symbolic_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2023-01-11T21:05:22.0647726Z   test_make_fx_symbolic_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0647942Z   test_make_fx_symbolic_exhaustive_inplace_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0648156Z   test_make_fx_symbolic_exhaustive_inplace_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0648377Z   test_make_fx_symbolic_exhaustive_inplace___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0648602Z   test_make_fx_symbolic_exhaustive_inplace___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0648824Z   test_make_fx_symbolic_exhaustive_inplace___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0649033Z   test_make_fx_symbolic_exhaustive_inplace___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0649252Z   test_make_fx_symbolic_exhaustive_inplace___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0649471Z   test_make_fx_symbolic_exhaustive_inplace___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0649682Z   test_make_fx_symbolic_exhaustive_inplace___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0649963Z   test_make_fx_symbolic_exhaustive_inplace___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0650198Z   test_make_fx_symbolic_exhaustive_inplace__native_batch_norm_legit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0650432Z   test_make_fx_symbolic_exhaustive_inplace__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0650614Z   test_make_fx_symbolic_exhaustive_inplace_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0650801Z   test_make_fx_symbolic_exhaustive_inplace_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0650985Z   test_make_fx_symbolic_exhaustive_inplace_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2023-01-11T21:05:22.0651169Z   test_make_fx_symbolic_exhaustive_inplace_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s)
2023-01-11T21:05:22.0651346Z   test_make_fx_symbolic_exhaustive_inplace_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.094s)
2023-01-11T21:05:22.0651534Z   test_make_fx_symbolic_exhaustive_inplace_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.270s)
2023-01-11T21:05:22.0651719Z   test_make_fx_symbolic_exhaustive_inplace_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.271s)
2023-01-11T21:05:22.0651921Z   test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.047s)
2023-01-11T21:05:22.0652135Z   test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.052s)
2023-01-11T21:05:22.0652336Z   test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2023-01-11T21:05:22.0652521Z   test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2023-01-11T21:05:22.0652739Z   test_make_fx_symbolic_exhaustive_inplace_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0652963Z   test_make_fx_symbolic_exhaustive_inplace_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0653181Z   test_make_fx_symbolic_exhaustive_inplace_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0653381Z   test_make_fx_symbolic_exhaustive_inplace_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0653601Z   test_make_fx_symbolic_exhaustive_inplace_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0653824Z   test_make_fx_symbolic_exhaustive_inplace_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0654038Z   test_make_fx_symbolic_exhaustive_inplace_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0654258Z   test_make_fx_symbolic_exhaustive_inplace_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0654479Z   test_make_fx_symbolic_exhaustive_inplace_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0654694Z   test_make_fx_symbolic_exhaustive_inplace_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0654940Z   test_make_fx_symbolic_exhaustive_inplace_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0655196Z   test_make_fx_symbolic_exhaustive_inplace_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0655389Z   test_make_fx_symbolic_exhaustive_inplace_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0655601Z   test_make_fx_symbolic_exhaustive_inplace_as_strided_partial_views_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.078s)
2023-01-11T21:05:22.0655820Z   test_make_fx_symbolic_exhaustive_inplace_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0656000Z   test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0656184Z   test_make_fx_symbolic_exhaustive_inplace_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0656368Z   test_make_fx_symbolic_exhaustive_inplace_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.186s)
2023-01-11T21:05:22.0656549Z   test_make_fx_symbolic_exhaustive_inplace_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0656735Z   test_make_fx_symbolic_exhaustive_inplace_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0656956Z   test_make_fx_symbolic_exhaustive_inplace_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0657177Z   test_make_fx_symbolic_exhaustive_inplace_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0657398Z   test_make_fx_symbolic_exhaustive_inplace_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0657601Z   test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2023-01-11T21:05:22.0657812Z   test_make_fx_symbolic_exhaustive_inplace_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0658027Z   test_make_fx_symbolic_exhaustive_inplace_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0658229Z   test_make_fx_symbolic_exhaustive_inplace_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0658443Z   test_make_fx_symbolic_exhaustive_inplace_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0658656Z   test_make_fx_symbolic_exhaustive_inplace_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0658886Z   test_make_fx_symbolic_exhaustive_inplace_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0659116Z   test_make_fx_symbolic_exhaustive_inplace_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0659339Z   test_make_fx_symbolic_exhaustive_inplace_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0659557Z   test_make_fx_symbolic_exhaustive_inplace_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0659771Z   test_make_fx_symbolic_exhaustive_inplace_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0659997Z   test_make_fx_symbolic_exhaustive_inplace_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0660259Z   test_make_fx_symbolic_exhaustive_inplace_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0660476Z   test_make_fx_symbolic_exhaustive_inplace_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0660697Z   test_make_fx_symbolic_exhaustive_inplace_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0660879Z   test_make_fx_symbolic_exhaustive_inplace_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0661095Z   test_make_fx_symbolic_exhaustive_inplace_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0661306Z   test_make_fx_symbolic_exhaustive_inplace_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0661525Z   test_make_fx_symbolic_exhaustive_inplace_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0661741Z   test_make_fx_symbolic_exhaustive_inplace_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0661968Z   test_make_fx_symbolic_exhaustive_inplace_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0662195Z   test_make_fx_symbolic_exhaustive_inplace_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0662406Z   test_make_fx_symbolic_exhaustive_inplace_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0662580Z   test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.460s)
2023-01-11T21:05:22.0662766Z   test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.276s)
2023-01-11T21:05:22.0662950Z   test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.267s)
2023-01-11T21:05:22.0663168Z   test_make_fx_symbolic_exhaustive_inplace_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0663385Z   test_make_fx_symbolic_exhaustive_inplace_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0663610Z   test_make_fx_symbolic_exhaustive_inplace_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0663832Z   test_make_fx_symbolic_exhaustive_inplace_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0664048Z   test_make_fx_symbolic_exhaustive_inplace_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0664237Z   test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0664467Z   test_make_fx_symbolic_exhaustive_inplace_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0664688Z   test_make_fx_symbolic_exhaustive_inplace_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0664867Z   test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.336s)
2023-01-11T21:05:22.0665085Z   test_make_fx_symbolic_exhaustive_inplace_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0665334Z   test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0665518Z   test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0665744Z   test_make_fx_symbolic_exhaustive_inplace_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0665957Z   test_make_fx_symbolic_exhaustive_inplace_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0666172Z   test_make_fx_symbolic_exhaustive_inplace_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0666391Z   test_make_fx_symbolic_exhaustive_inplace_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0666609Z   test_make_fx_symbolic_exhaustive_inplace_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0666810Z   test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2023-01-11T21:05:22.0666984Z   test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.296s)
2023-01-11T21:05:22.0667220Z   test_make_fx_symbolic_exhaustive_inplace_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0667407Z   test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0667620Z   test_make_fx_symbolic_exhaustive_inplace_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0667842Z   test_make_fx_symbolic_exhaustive_inplace_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0668060Z   test_make_fx_symbolic_exhaustive_inplace_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0668292Z   test_make_fx_symbolic_exhaustive_inplace_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0668512Z   test_make_fx_symbolic_exhaustive_inplace_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0668738Z   test_make_fx_symbolic_exhaustive_inplace_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0668957Z   test_make_fx_symbolic_exhaustive_inplace_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0669145Z   test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0669345Z   test_make_fx_symbolic_exhaustive_inplace_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0669541Z   test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.976s)
2023-01-11T21:05:22.0669739Z   test_make_fx_symbolic_exhaustive_inplace_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2023-01-11T21:05:22.0669932Z   test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.216s)
2023-01-11T21:05:22.0670144Z   test_make_fx_symbolic_exhaustive_inplace_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0670397Z   test_make_fx_symbolic_exhaustive_inplace_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0670639Z   test_make_fx_symbolic_exhaustive_inplace_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0670853Z   test_make_fx_symbolic_exhaustive_inplace_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0671061Z   test_make_fx_symbolic_exhaustive_inplace_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0671256Z   test_make_fx_symbolic_exhaustive_inplace_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0671456Z   test_make_fx_symbolic_exhaustive_inplace_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0671627Z   test_make_fx_symbolic_exhaustive_inplace_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.211s)
2023-01-11T21:05:22.0671847Z   test_make_fx_symbolic_exhaustive_inplace_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0672029Z   test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0672208Z   test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0672391Z   test_make_fx_symbolic_exhaustive_inplace_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0672568Z   test_make_fx_symbolic_exhaustive_inplace_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2023-01-11T21:05:22.0672750Z   test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0672977Z   test_make_fx_symbolic_exhaustive_inplace_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0673276Z   test_make_fx_symbolic_exhaustive_inplace_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0673447Z   test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0673660Z   test_make_fx_symbolic_exhaustive_inplace_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0673882Z   test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0674097Z   test_make_fx_symbolic_exhaustive_inplace_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0674320Z   test_make_fx_symbolic_exhaustive_inplace_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0674543Z   test_make_fx_symbolic_exhaustive_inplace_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0674759Z   test_make_fx_symbolic_exhaustive_inplace_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0674977Z   test_make_fx_symbolic_exhaustive_inplace_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0675199Z   test_make_fx_symbolic_exhaustive_inplace_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0675454Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0675700Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0675921Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0676132Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0676353Z   test_make_fx_symbolic_exhaustive_inplace_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0676567Z   test_make_fx_symbolic_exhaustive_inplace_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0676786Z   test_make_fx_symbolic_exhaustive_inplace_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0677005Z   test_make_fx_symbolic_exhaustive_inplace_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0677217Z   test_make_fx_symbolic_exhaustive_inplace_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0677437Z   test_make_fx_symbolic_exhaustive_inplace_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0677653Z   test_make_fx_symbolic_exhaustive_inplace_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0677870Z   test_make_fx_symbolic_exhaustive_inplace_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0678091Z   test_make_fx_symbolic_exhaustive_inplace_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0678275Z   test_make_fx_symbolic_exhaustive_inplace_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2023-01-11T21:05:22.0678482Z   test_make_fx_symbolic_exhaustive_inplace_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0678697Z   test_make_fx_symbolic_exhaustive_inplace_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0678911Z   test_make_fx_symbolic_exhaustive_inplace_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0679119Z   test_make_fx_symbolic_exhaustive_inplace_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0679336Z   test_make_fx_symbolic_exhaustive_inplace_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0679539Z   test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2023-01-11T21:05:22.0679720Z   test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0679912Z   test_make_fx_symbolic_exhaustive_inplace_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.980s)
2023-01-11T21:05:22.0680128Z   test_make_fx_symbolic_exhaustive_inplace_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0680336Z   test_make_fx_symbolic_exhaustive_inplace_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0680539Z   test_make_fx_symbolic_exhaustive_inplace_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.182s)
2023-01-11T21:05:22.0680791Z   test_make_fx_symbolic_exhaustive_inplace_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0681008Z   test_make_fx_symbolic_exhaustive_inplace_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0681221Z   test_make_fx_symbolic_exhaustive_inplace_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0681442Z   test_make_fx_symbolic_exhaustive_inplace_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0681660Z   test_make_fx_symbolic_exhaustive_inplace_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0681839Z   test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.177s)
2023-01-11T21:05:22.0682059Z   test_make_fx_symbolic_exhaustive_inplace_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0682278Z   test_make_fx_symbolic_exhaustive_inplace_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0682502Z   test_make_fx_symbolic_exhaustive_inplace_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0682677Z   test_make_fx_symbolic_exhaustive_inplace_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.174s)
2023-01-11T21:05:22.0682882Z   test_make_fx_symbolic_exhaustive_inplace_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0683077Z   test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.380s)
2023-01-11T21:05:22.0683292Z   test_make_fx_symbolic_exhaustive_inplace_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0683639Z   test_make_fx_symbolic_exhaustive_inplace_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0683867Z   test_make_fx_symbolic_exhaustive_inplace_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0684083Z   test_make_fx_symbolic_exhaustive_inplace_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0684301Z   test_make_fx_symbolic_exhaustive_inplace_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0684489Z   test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2023-01-11T21:05:22.0684685Z   test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0684870Z   test_make_fx_symbolic_exhaustive_inplace_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2023-01-11T21:05:22.0685049Z   test_make_fx_symbolic_exhaustive_inplace_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2023-01-11T21:05:22.0685238Z   test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.285s)
2023-01-11T21:05:22.0685425Z   test_make_fx_symbolic_exhaustive_inplace_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2023-01-11T21:05:22.0685606Z   test_make_fx_symbolic_exhaustive_inplace_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2023-01-11T21:05:22.0685847Z   test_make_fx_symbolic_exhaustive_inplace_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s)
2023-01-11T21:05:22.0686089Z   test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0686314Z   test_make_fx_symbolic_exhaustive_inplace_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0686530Z   test_make_fx_symbolic_exhaustive_inplace_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0686753Z   test_make_fx_symbolic_exhaustive_inplace_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0686971Z   test_make_fx_symbolic_exhaustive_inplace_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0687195Z   test_make_fx_symbolic_exhaustive_inplace_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0687401Z   test_make_fx_symbolic_exhaustive_inplace_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0687616Z   test_make_fx_symbolic_exhaustive_inplace_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0687827Z   test_make_fx_symbolic_exhaustive_inplace_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0688049Z   test_make_fx_symbolic_exhaustive_inplace_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0688264Z   test_make_fx_symbolic_exhaustive_inplace_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0688480Z   test_make_fx_symbolic_exhaustive_inplace_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0688704Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0688945Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0689162Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0689386Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0689601Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0689804Z   test_make_fx_symbolic_exhaustive_inplace_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0690024Z   test_make_fx_symbolic_exhaustive_inplace_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0690207Z   test_make_fx_symbolic_exhaustive_inplace_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.201s)
2023-01-11T21:05:22.0690386Z   test_make_fx_symbolic_exhaustive_inplace_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2023-01-11T21:05:22.0690569Z   test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.495s)
2023-01-11T21:05:22.0690753Z   test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2023-01-11T21:05:22.0691022Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0691277Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0691498Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0691718Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0691929Z   test_make_fx_symbolic_exhaustive_inplace_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0692156Z   test_make_fx_symbolic_exhaustive_inplace_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0692380Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0692605Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0692829Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0693056Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0693296Z   test_make_fx_symbolic_exhaustive_inplace_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0693519Z   test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0693746Z   test_make_fx_symbolic_exhaustive_inplace_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0693973Z   test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0694204Z   test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0694428Z   test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0694621Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0694846Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0695066Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0695292Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0695519Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0695743Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0696006Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0696265Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0696493Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0696732Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0696959Z   test_make_fx_symbolic_exhaustive_inplace_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0697178Z   test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0697414Z   test_make_fx_symbolic_exhaustive_inplace_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0697636Z   test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0697870Z   test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0698129Z   test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:05:22.0698348Z   test_make_fx_symbolic_exhaustive_inplace_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0698578Z   test_make_fx_symbolic_exhaustive_inplace_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0698802Z   test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0699026Z   test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0699258Z   test_make_fx_symbolic_exhaustive_inplace_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0699480Z   test_make_fx_symbolic_exhaustive_inplace_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0699704Z   test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0699932Z   test_make_fx_symbolic_exhaustive_inplace_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0700150Z   test_make_fx_symbolic_exhaustive_inplace_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0700375Z   test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0700600Z   test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0700828Z   test_make_fx_symbolic_exhaustive_inplace_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0701114Z   test_make_fx_symbolic_exhaustive_inplace_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0701300Z   test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2023-01-11T21:05:22.0701487Z   test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0701670Z   test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0701849Z   test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0702072Z   test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0702308Z   test_make_fx_symbolic_exhaustive_inplace_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0702521Z   test_make_fx_symbolic_exhaustive_inplace_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0702742Z   test_make_fx_symbolic_exhaustive_inplace_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0702969Z   test_make_fx_symbolic_exhaustive_inplace_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0703187Z   test_make_fx_symbolic_exhaustive_inplace_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0703378Z   test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2023-01-11T21:05:22.0703569Z   test_make_fx_symbolic_exhaustive_inplace_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2023-01-11T21:05:22.0703759Z   test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2023-01-11T21:05:22.0703946Z   test_make_fx_symbolic_exhaustive_inplace_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2023-01-11T21:05:22.0704127Z   test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2023-01-11T21:05:22.0704349Z   test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0704558Z   test_make_fx_symbolic_exhaustive_inplace_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0704778Z   test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0704960Z   test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.178s)
2023-01-11T21:05:22.0705175Z   test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0705392Z   test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0705612Z   test_make_fx_symbolic_exhaustive_inplace_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0705822Z   test_make_fx_symbolic_exhaustive_inplace_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0706070Z   test_make_fx_symbolic_exhaustive_inplace_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0706319Z   test_make_fx_symbolic_exhaustive_inplace_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0706544Z   test_make_fx_symbolic_exhaustive_inplace_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0706767Z   test_make_fx_symbolic_exhaustive_inplace_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0706982Z   test_make_fx_symbolic_exhaustive_inplace_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0707207Z   test_make_fx_symbolic_exhaustive_inplace_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0707435Z   test_make_fx_symbolic_exhaustive_inplace_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0707629Z   test_make_fx_symbolic_exhaustive_inplace_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s)
2023-01-11T21:05:22.0707857Z   test_make_fx_symbolic_exhaustive_inplace_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0708086Z   test_make_fx_symbolic_exhaustive_inplace_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0708295Z   test_make_fx_symbolic_exhaustive_inplace_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0708517Z   test_make_fx_symbolic_exhaustive_inplace_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0708745Z   test_make_fx_symbolic_exhaustive_inplace_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0708968Z   test_make_fx_symbolic_exhaustive_inplace_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0709197Z   test_make_fx_symbolic_exhaustive_inplace_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0709407Z   test_make_fx_symbolic_exhaustive_inplace_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0709597Z   test_make_fx_symbolic_exhaustive_inplace_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2023-01-11T21:05:22.0709817Z   test_make_fx_symbolic_exhaustive_inplace_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0710045Z   test_make_fx_symbolic_exhaustive_inplace_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0710267Z   test_make_fx_symbolic_exhaustive_inplace_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0710488Z   test_make_fx_symbolic_exhaustive_inplace_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0710709Z   test_make_fx_symbolic_exhaustive_inplace_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0710928Z   test_make_fx_symbolic_exhaustive_inplace_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0711178Z   test_make_fx_symbolic_exhaustive_inplace_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0711423Z   test_make_fx_symbolic_exhaustive_inplace_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0711643Z   test_make_fx_symbolic_exhaustive_inplace_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0711883Z   test_make_fx_symbolic_exhaustive_inplace_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0712102Z   test_make_fx_symbolic_exhaustive_inplace_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0712333Z   test_make_fx_symbolic_exhaustive_inplace_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0712556Z   test_make_fx_symbolic_exhaustive_inplace_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0712771Z   test_make_fx_symbolic_exhaustive_inplace_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0713055Z   test_make_fx_symbolic_exhaustive_inplace_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0713296Z   test_make_fx_symbolic_exhaustive_inplace_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0713534Z   test_make_fx_symbolic_exhaustive_inplace_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0713755Z   test_make_fx_symbolic_exhaustive_inplace_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0713988Z   test_make_fx_symbolic_exhaustive_inplace_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0714222Z   test_make_fx_symbolic_exhaustive_inplace_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0714441Z   test_make_fx_symbolic_exhaustive_inplace_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0714653Z   test_make_fx_symbolic_exhaustive_inplace_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0714859Z   test_make_fx_symbolic_exhaustive_inplace_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0715082Z   test_make_fx_symbolic_exhaustive_inplace_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0715298Z   test_make_fx_symbolic_exhaustive_inplace_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0715480Z   test_make_fx_symbolic_exhaustive_inplace_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s)
2023-01-11T21:05:22.0715705Z   test_make_fx_symbolic_exhaustive_inplace_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0715919Z   test_make_fx_symbolic_exhaustive_inplace_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0716121Z   test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.391s)
2023-01-11T21:05:22.0716367Z   test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.386s)
2023-01-11T21:05:22.0716607Z   test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.388s)
2023-01-11T21:05:22.0716795Z   test_make_fx_symbolic_exhaustive_inplace_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.252s)
2023-01-11T21:05:22.0717002Z   test_make_fx_symbolic_exhaustive_inplace_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0717224Z   test_make_fx_symbolic_exhaustive_inplace_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0717446Z   test_make_fx_symbolic_exhaustive_inplace_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0717667Z   test_make_fx_symbolic_exhaustive_inplace_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0717890Z   test_make_fx_symbolic_exhaustive_inplace_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0718103Z   test_make_fx_symbolic_exhaustive_inplace_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0718329Z   test_make_fx_symbolic_exhaustive_inplace_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0718564Z   test_make_fx_symbolic_exhaustive_inplace_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0718795Z   test_make_fx_symbolic_exhaustive_inplace_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0718978Z   test_make_fx_symbolic_exhaustive_inplace_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2023-01-11T21:05:22.0719161Z   test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0719352Z   test_make_fx_symbolic_exhaustive_inplace_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:05:22.0719579Z   test_make_fx_symbolic_exhaustive_inplace_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0719800Z   test_make_fx_symbolic_exhaustive_inplace_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0720023Z   test_make_fx_symbolic_exhaustive_inplace_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0720248Z   test_make_fx_symbolic_exhaustive_inplace_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0720439Z   test_make_fx_symbolic_exhaustive_inplace_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.174s)
2023-01-11T21:05:22.0720696Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0720945Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0721190Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0721470Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0721741Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0721983Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0722215Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0722422Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.618s)
2023-01-11T21:05:22.0722661Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0722899Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0723130Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0723346Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0723689Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0723934Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0724197Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0724397Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2023-01-11T21:05:22.0724628Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0724857Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0725085Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0725329Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0725569Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0725817Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0726057Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0726294Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0726622Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0727693Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0727937Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0728762Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0729003Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0729811Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0730053Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0730864Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0731102Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0731919Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0732159Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0732970Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0733204Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0733311Z ok (0.589s)
2023-01-11T21:05:22.0733520Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.890s)
2023-01-11T21:05:22.0733743Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.386s)
2023-01-11T21:05:22.0733948Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2023-01-11T21:05:22.0734190Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0734429Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0734654Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.466s)
2023-01-11T21:05:22.0734887Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.152s)
2023-01-11T21:05:22.0735136Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0735384Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0735627Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0735862Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0736098Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0736337Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0736558Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0736797Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0737019Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0737255Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0737490Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0737736Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0737971Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0738207Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0738482Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0738757Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0739009Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0739254Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0739488Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0739742Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0739973Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0740204Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0740436Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0740637Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.397s)
2023-01-11T21:05:22.0740868Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0741114Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0741351Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0741595Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0741828Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0742055Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0742293Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0742503Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0742745Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0742959Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0743201Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0743447Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0743715Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0743916Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2023-01-11T21:05:22.0744148Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0744388Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0744635Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0744890Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0745625Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0745849Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0746087Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0746321Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0746561Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0746804Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0747048Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0747276Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0747512Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0747753Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0747993Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0748225Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0748455Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0748685Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0748905Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2023-01-11T21:05:22.0749133Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.126s)
2023-01-11T21:05:22.0749329Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2023-01-11T21:05:22.0749566Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0749803Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0750034Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0750278Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0750510Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0750748Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0750975Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0751206Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0751397Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s)
2023-01-11T21:05:22.0751641Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0751899Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0752127Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0752368Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0752609Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0752835Z   test_make_fx_symbolic_exhaustive_inplace_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0753124Z   test_make_fx_symbolic_exhaustive_inplace_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0753345Z   test_make_fx_symbolic_exhaustive_inplace_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0753564Z   test_make_fx_symbolic_exhaustive_inplace_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0753776Z   test_make_fx_symbolic_exhaustive_inplace_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0754033Z   test_make_fx_symbolic_exhaustive_inplace_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0754289Z   test_make_fx_symbolic_exhaustive_inplace_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0754507Z   test_make_fx_symbolic_exhaustive_inplace_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0754729Z   test_make_fx_symbolic_exhaustive_inplace_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0754945Z   test_make_fx_symbolic_exhaustive_inplace_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0755162Z   test_make_fx_symbolic_exhaustive_inplace_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0755385Z   test_make_fx_symbolic_exhaustive_inplace_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0755607Z   test_make_fx_symbolic_exhaustive_inplace_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0755825Z   test_make_fx_symbolic_exhaustive_inplace_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0756039Z   test_make_fx_symbolic_exhaustive_inplace_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0756260Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2023-01-11T21:05:22.0756478Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2023-01-11T21:05:22.0756699Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2023-01-11T21:05:22.0756899Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s)
2023-01-11T21:05:22.0757114Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s)
2023-01-11T21:05:22.0757334Z   test_make_fx_symbolic_exhaustive_inplace_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0757517Z   test_make_fx_symbolic_exhaustive_inplace_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2023-01-11T21:05:22.0757734Z   test_make_fx_symbolic_exhaustive_inplace_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0757917Z   test_make_fx_symbolic_exhaustive_inplace_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.372s)
2023-01-11T21:05:22.0758131Z   test_make_fx_symbolic_exhaustive_inplace_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0758352Z   test_make_fx_symbolic_exhaustive_inplace_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0758538Z   test_make_fx_symbolic_exhaustive_inplace_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0758757Z   test_make_fx_symbolic_exhaustive_inplace_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0758964Z   test_make_fx_symbolic_exhaustive_inplace_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0759223Z   test_make_fx_symbolic_exhaustive_inplace_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0759472Z   test_make_fx_symbolic_exhaustive_inplace_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0759693Z   test_make_fx_symbolic_exhaustive_inplace_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0759914Z   test_make_fx_symbolic_exhaustive_inplace_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0760128Z   test_make_fx_symbolic_exhaustive_inplace_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0760319Z   test_make_fx_symbolic_exhaustive_inplace_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2023-01-11T21:05:22.0760509Z   test_make_fx_symbolic_exhaustive_inplace_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2023-01-11T21:05:22.0760709Z   test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s)
2023-01-11T21:05:22.0760927Z   test_make_fx_symbolic_exhaustive_inplace_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0761161Z   test_make_fx_symbolic_exhaustive_inplace_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0761372Z   test_make_fx_symbolic_exhaustive_inplace_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0761592Z   test_make_fx_symbolic_exhaustive_inplace_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0761795Z   test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2023-01-11T21:05:22.0762000Z   test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s)
2023-01-11T21:05:22.0762222Z   test_make_fx_symbolic_exhaustive_inplace_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0762446Z   test_make_fx_symbolic_exhaustive_inplace_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0762659Z   test_make_fx_symbolic_exhaustive_inplace_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0762875Z   test_make_fx_symbolic_exhaustive_inplace_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0763077Z   test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0763288Z   test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0763601Z   test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0763803Z   test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0763988Z   test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2023-01-11T21:05:22.0764204Z   test_make_fx_symbolic_exhaustive_inplace_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0764520Z   test_make_fx_symbolic_exhaustive_inplace_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0764744Z   test_make_fx_symbolic_exhaustive_inplace_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.270s)
2023-01-11T21:05:22.0764935Z   test_make_fx_symbolic_exhaustive_inplace_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.057s)
2023-01-11T21:05:22.0765134Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.789s)
2023-01-11T21:05:22.0765335Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.775s)
2023-01-11T21:05:22.0765534Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.778s)
2023-01-11T21:05:22.0765734Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.047s)
2023-01-11T21:05:22.0765921Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.792s)
2023-01-11T21:05:22.0766150Z   test_make_fx_symbolic_exhaustive_inplace_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0766388Z   test_make_fx_symbolic_exhaustive_inplace_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0766620Z   test_make_fx_symbolic_exhaustive_inplace_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0766838Z   test_make_fx_symbolic_exhaustive_inplace_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0767065Z   test_make_fx_symbolic_exhaustive_inplace_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0767248Z   test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0767469Z   test_make_fx_symbolic_exhaustive_inplace_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0767660Z   test_make_fx_symbolic_exhaustive_inplace_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.094s)
2023-01-11T21:05:22.0767845Z   test_make_fx_symbolic_exhaustive_inplace_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2023-01-11T21:05:22.0768081Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_bartlett_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0768303Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_blackman_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0768539Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0768778Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0769008Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0769246Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_general_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0769488Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_general_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0769778Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0770010Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_hann_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0770243Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0770476Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_nuttall_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0770694Z   test_make_fx_symbolic_exhaustive_inplace_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0770879Z   test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0771054Z   test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2023-01-11T21:05:22.0771238Z   test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0771455Z   test_make_fx_symbolic_exhaustive_inplace_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0771681Z   test_make_fx_symbolic_exhaustive_inplace_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0771900Z   test_make_fx_symbolic_exhaustive_inplace_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0772130Z   test_make_fx_symbolic_exhaustive_inplace_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0772348Z   test_make_fx_symbolic_exhaustive_inplace_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0772580Z   test_make_fx_symbolic_exhaustive_inplace_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0772807Z   test_make_fx_symbolic_exhaustive_inplace_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0773032Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0773260Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0773482Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0773708Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0773952Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0774196Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0774627Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0775105Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0775333Z   test_make_fx_symbolic_exhaustive_inplace_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0775561Z   test_make_fx_symbolic_exhaustive_inplace_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0775803Z   test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0776046Z   test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0776272Z   test_make_fx_symbolic_exhaustive_inplace_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0776494Z   test_make_fx_symbolic_exhaustive_inplace_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0776705Z   test_make_fx_symbolic_exhaustive_inplace_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0776946Z   test_make_fx_symbolic_exhaustive_inplace_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0777353Z   test_make_fx_symbolic_exhaustive_inplace_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0777582Z   test_make_fx_symbolic_exhaustive_inplace_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0777823Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0778061Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0778290Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0778526Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0778753Z   test_make_fx_symbolic_exhaustive_inplace_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0778979Z   test_make_fx_symbolic_exhaustive_inplace_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0779229Z   test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0779472Z   test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0779714Z   test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0780121Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0780602Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0781023Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0781434Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0781672Z   test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0781900Z   test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0782126Z   test_make_fx_symbolic_exhaustive_inplace_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0782342Z   test_make_fx_symbolic_exhaustive_inplace_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0782571Z   test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0782799Z   test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0782983Z   test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2023-01-11T21:05:22.0783168Z   test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2023-01-11T21:05:22.0783346Z   test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.214s)
2023-01-11T21:05:22.0783566Z   test_make_fx_symbolic_exhaustive_inplace_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0783780Z   test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0783999Z   test_make_fx_symbolic_exhaustive_inplace_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0784226Z   test_make_fx_symbolic_exhaustive_inplace_std_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0784455Z   test_make_fx_symbolic_exhaustive_inplace_std_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0784671Z   test_make_fx_symbolic_exhaustive_inplace_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0784852Z   test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.202s)
2023-01-11T21:05:22.0785067Z   test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0785288Z   test_make_fx_symbolic_exhaustive_inplace_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0785498Z   test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0785782Z   test_make_fx_symbolic_exhaustive_inplace_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0786003Z   test_make_fx_symbolic_exhaustive_inplace_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0786198Z   test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0786421Z   test_make_fx_symbolic_exhaustive_inplace_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0786638Z   test_make_fx_symbolic_exhaustive_inplace_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0786819Z   test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0787005Z   test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2023-01-11T21:05:22.0787230Z   test_make_fx_symbolic_exhaustive_inplace_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0787453Z   test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0787669Z   test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0787882Z   test_make_fx_symbolic_exhaustive_inplace_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0788072Z   test_make_fx_symbolic_exhaustive_inplace_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0788290Z   test_make_fx_symbolic_exhaustive_inplace_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0788510Z   test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0788716Z   test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2023-01-11T21:05:22.0788938Z   test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0789152Z   test_make_fx_symbolic_exhaustive_inplace_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0789381Z   test_make_fx_symbolic_exhaustive_inplace_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0789567Z   test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.599s)
2023-01-11T21:05:22.0789751Z   test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.591s)
2023-01-11T21:05:22.0789940Z   test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0790112Z   test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2023-01-11T21:05:22.0790330Z   test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0790553Z   test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0790806Z   test_make_fx_symbolic_exhaustive_inplace_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0791065Z   test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0791268Z   test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0791498Z   test_make_fx_symbolic_exhaustive_inplace_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0791714Z   test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0791902Z   test_make_fx_symbolic_exhaustive_inplace_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.261s)
2023-01-11T21:05:22.0792117Z   test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0792340Z   test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0792557Z   test_make_fx_symbolic_exhaustive_inplace_var_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0792779Z   test_make_fx_symbolic_exhaustive_inplace_var_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0793054Z   test_make_fx_symbolic_exhaustive_inplace_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0793286Z   test_make_fx_symbolic_exhaustive_inplace_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0793509Z   test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0793730Z   test_make_fx_symbolic_exhaustive_inplace_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0793944Z   test_make_fx_symbolic_exhaustive_inplace_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0794162Z   test_make_fx_symbolic_exhaustive_inplace_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0794378Z   test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0794595Z   test_make_fx_symbolic_exhaustive_inplace_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0794784Z   test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.327s)
2023-01-11T21:05:22.0794955Z   test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2023-01-11T21:05:22.0795173Z   test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0795396Z   test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2023-01-11T21:05:22.0795570Z   test_make_fx_symbolic_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s)
2023-01-11T21:05:22.0795767Z   test_make_fx_symbolic_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.111s)
2023-01-11T21:05:22.0795986Z   test_make_fx_symbolic_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.094s)
2023-01-11T21:05:22.0796206Z   test_make_fx_symbolic_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0796383Z   test_make_fx_symbolic_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0796559Z   test_make_fx_symbolic_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0796739Z   test_make_fx_symbolic_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0796907Z   test_make_fx_symbolic_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0797085Z   test_make_fx_symbolic_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0797303Z   test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0797523Z   test_make_fx_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0797731Z   test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0797950Z   test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0798155Z   test_make_fx_symbolic_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:05:22.0798345Z   test_make_fx_symbolic_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s)
2023-01-11T21:05:22.0798544Z   test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0798723Z   test_make_fx_symbolic_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.355s)
2023-01-11T21:05:22.0798883Z   test_make_fx_symbolic_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.569s)
2023-01-11T21:05:22.0799058Z   test_make_fx_symbolic_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.986s)
2023-01-11T21:05:22.0799237Z   test_make_fx_symbolic_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0799425Z   test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.354s)
2023-01-11T21:05:22.0799615Z   test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.324s)
2023-01-11T21:05:22.0799815Z   test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0800015Z   test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0800211Z   test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:05:22.0800417Z   test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0800599Z   test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0800799Z   test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0800996Z   test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2023-01-11T21:05:22.0801234Z   test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0801479Z   test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0801673Z   test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0801870Z   test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2023-01-11T21:05:22.0802073Z   test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0802276Z   test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0802475Z   test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.032s)
2023-01-11T21:05:22.0802662Z   test_make_fx_symbolic_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0802873Z   test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0803065Z   test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0803265Z   test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0803572Z   test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0803773Z   test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2023-01-11T21:05:22.0803977Z   test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.136s)
2023-01-11T21:05:22.0804180Z   test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s)
2023-01-11T21:05:22.0804379Z   test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2023-01-11T21:05:22.0804593Z   test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0804792Z   test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0804975Z   test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (1.046s)
2023-01-11T21:05:22.0805194Z   test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.925s)
2023-01-11T21:05:22.0805392Z   test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0805599Z   test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0805854Z   test_make_fx_symbolic_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:05:22.0806048Z   test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0806248Z   test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:05:22.0806443Z   test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2023-01-11T21:05:22.0806692Z   test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0806945Z   test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0807130Z   test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2023-01-11T21:05:22.0807332Z   test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0807532Z   test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.048s)
2023-01-11T21:05:22.0807736Z   test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2023-01-11T21:05:22.0807936Z   test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s)
2023-01-11T21:05:22.0808124Z   test_make_fx_symbolic_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.063s)
2023-01-11T21:05:22.0808311Z   test_make_fx_symbolic_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.455s)
2023-01-11T21:05:22.0808491Z   test_make_fx_symbolic_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.419s)
2023-01-11T21:05:22.0808667Z   test_make_fx_symbolic_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0808839Z   test_make_fx_symbolic_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0809001Z   test_make_fx_symbolic_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0809176Z   test_make_fx_symbolic_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0809358Z   test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.605s)
2023-01-11T21:05:22.0809549Z   test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.395s)
2023-01-11T21:05:22.0809744Z   test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0809938Z   test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2023-01-11T21:05:22.0810135Z   test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2023-01-11T21:05:22.0810328Z   test_make_fx_symbolic_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s)
2023-01-11T21:05:22.0810512Z   test_make_fx_symbolic_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.407s)
2023-01-11T21:05:22.0810682Z   test_make_fx_symbolic_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0810863Z   test_make_fx_symbolic_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.412s)
2023-01-11T21:05:22.0811038Z   test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.416s)
2023-01-11T21:05:22.0811212Z   test_make_fx_symbolic_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.271s)
2023-01-11T21:05:22.0811392Z   test_make_fx_symbolic_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.937s)
2023-01-11T21:05:22.0811574Z   test_make_fx_symbolic_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.913s)
2023-01-11T21:05:22.0811748Z   test_make_fx_symbolic_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.191s)
2023-01-11T21:05:22.0811952Z   test_make_fx_symbolic_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.301s)
2023-01-11T21:05:22.0812168Z   test_make_fx_symbolic_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0812349Z   test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2023-01-11T21:05:22.0812544Z   test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2023-01-11T21:05:22.0812714Z   test_make_fx_symbolic_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2023-01-11T21:05:22.0812884Z   test_make_fx_symbolic_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.167s)
2023-01-11T21:05:22.0813066Z   test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.714s)
2023-01-11T21:05:22.0813245Z   test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.430s)
2023-01-11T21:05:22.0813431Z   test_make_fx_symbolic_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.394s)
2023-01-11T21:05:22.0813615Z   test_make_fx_symbolic_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.425s)
2023-01-11T21:05:22.0813814Z   test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2023-01-11T21:05:22.0813994Z   test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.012s)
2023-01-11T21:05:22.0814178Z   test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.052s)
2023-01-11T21:05:22.0814366Z   test_make_fx_symbolic_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.311s)
2023-01-11T21:05:22.0814574Z   test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0814776Z   test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0814954Z   test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (8.774s)
2023-01-11T21:05:22.0815135Z   test_make_fx_symbolic_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.638s)
2023-01-11T21:05:22.0815313Z   test_make_fx_symbolic_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.862s)
2023-01-11T21:05:22.0815500Z   test_make_fx_symbolic_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.677s)
2023-01-11T21:05:22.0815679Z   test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.852s)
2023-01-11T21:05:22.0815867Z   test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2023-01-11T21:05:22.0816098Z   test_make_fx_symbolic_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.017s)
2023-01-11T21:05:22.0816280Z   test_make_fx_symbolic_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.229s)
2023-01-11T21:05:22.0816463Z   test_make_fx_symbolic_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.344s)
2023-01-11T21:05:22.0816643Z   test_make_fx_symbolic_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.409s)
2023-01-11T21:05:22.0816820Z   test_make_fx_symbolic_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.262s)
2023-01-11T21:05:22.0816998Z   test_make_fx_symbolic_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.346s)
2023-01-11T21:05:22.0817208Z   test_make_fx_symbolic_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.049s)
2023-01-11T21:05:22.0817435Z   test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2023-01-11T21:05:22.0817615Z   test_make_fx_symbolic_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.287s)
2023-01-11T21:05:22.0817823Z   test_make_fx_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.926s)
2023-01-11T21:05:22.0818013Z   test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0818204Z   test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2023-01-11T21:05:22.0818379Z   test_make_fx_symbolic_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.303s)
2023-01-11T21:05:22.0818554Z   test_make_fx_symbolic_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.627s)
2023-01-11T21:05:22.0818746Z   test_make_fx_symbolic_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s)
2023-01-11T21:05:22.0818956Z   test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s)
2023-01-11T21:05:22.0819165Z   test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s)
2023-01-11T21:05:22.0819342Z   test_make_fx_symbolic_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.298s)
2023-01-11T21:05:22.0819533Z   test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2023-01-11T21:05:22.0819730Z   test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2023-01-11T21:05:22.0819911Z   test_make_fx_symbolic_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.299s)
2023-01-11T21:05:22.0820083Z   test_make_fx_symbolic_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0820271Z   test_make_fx_symbolic_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0820448Z   test_make_fx_symbolic_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2023-01-11T21:05:22.0820623Z   test_make_fx_symbolic_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2023-01-11T21:05:22.0820794Z   test_make_fx_symbolic_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.287s)
2023-01-11T21:05:22.0820990Z   test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s)
2023-01-11T21:05:22.0821162Z   test_make_fx_symbolic_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0821345Z   test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.633s)
2023-01-11T21:05:22.0821530Z   test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.376s)
2023-01-11T21:05:22.0821721Z   test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.373s)
2023-01-11T21:05:22.0821897Z   test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.307s)
2023-01-11T21:05:22.0822074Z   test_make_fx_symbolic_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.948s)
2023-01-11T21:05:22.0822253Z   test_make_fx_symbolic_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.265s)
2023-01-11T21:05:22.0822487Z   test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0822698Z   test_make_fx_symbolic_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.573s)
2023-01-11T21:05:22.0822879Z   test_make_fx_symbolic_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.168s)
2023-01-11T21:05:22.0823057Z   test_make_fx_symbolic_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.057s)
2023-01-11T21:05:22.0823243Z   test_make_fx_symbolic_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.432s)
2023-01-11T21:05:22.0823438Z   test_make_fx_symbolic_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.469s)
2023-01-11T21:05:22.0823624Z   test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.615s)
2023-01-11T21:05:22.0823797Z   test_make_fx_symbolic_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2023-01-11T21:05:22.0823970Z   test_make_fx_symbolic_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0824161Z   test_make_fx_symbolic_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0824401Z   test_make_fx_symbolic_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:05:22.0824577Z   test_make_fx_symbolic_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s)
2023-01-11T21:05:22.0824752Z   test_make_fx_symbolic_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s)
2023-01-11T21:05:22.0824916Z   test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2023-01-11T21:05:22.0825096Z   test_make_fx_symbolic_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.286s)
2023-01-11T21:05:22.0825311Z   test_make_fx_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.561s)
2023-01-11T21:05:22.0825515Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.199s)
2023-01-11T21:05:22.0825714Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.380s)
2023-01-11T21:05:22.0825909Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.882s)
2023-01-11T21:05:22.0826127Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2023-01-11T21:05:22.0826348Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s)
2023-01-11T21:05:22.0826565Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2023-01-11T21:05:22.0826763Z   test_make_fx_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.289s)
2023-01-11T21:05:22.0826944Z   test_make_fx_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.822s)
2023-01-11T21:05:22.0827137Z   test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.996s)
2023-01-11T21:05:22.0827346Z   test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.060s)
2023-01-11T21:05:22.0827556Z   test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0827801Z   test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2023-01-11T21:05:22.0828059Z   test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.750s)
2023-01-11T21:05:22.0828276Z   test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.736s)
2023-01-11T21:05:22.0828464Z   test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s)
2023-01-11T21:05:22.0828655Z   test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.057s)
2023-01-11T21:05:22.0828846Z   test_make_fx_symbolic_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (11.021s)
2023-01-11T21:05:22.0829036Z   test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.585s)
2023-01-11T21:05:22.0829239Z   test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.541s)
2023-01-11T21:05:22.0829439Z   test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.841s)
2023-01-11T21:05:22.0829644Z   test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.855s)
2023-01-11T21:05:22.0829859Z   test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2023-01-11T21:05:22.0830070Z   test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.121s)
2023-01-11T21:05:22.0830307Z   test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.039s)
2023-01-11T21:05:22.0831339Z   test_make_fx_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0831582Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0832408Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0832649Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0833540Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0833820Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0834660Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0834902Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0835716Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0835957Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0836777Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:05:22.0837013Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:05:22.0837082Z ok (0.487s)
2023-01-11T21:05:22.0837270Z   test_make_fx_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.777s)
2023-01-11T21:05:22.0837469Z   test_make_fx_symbolic_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.265s)
2023-01-11T21:05:22.0837659Z   test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s)
2023-01-11T21:05:22.0837875Z   test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.371s)
2023-01-11T21:05:22.0838068Z   test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.604s)
2023-01-11T21:05:22.0838286Z   test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.419s)
2023-01-11T21:05:22.0838509Z   test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2023-01-11T21:05:22.0838735Z   test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.057s)
2023-01-11T21:05:22.0838949Z   test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.080s)
2023-01-11T21:05:22.0839163Z   test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2023-01-11T21:05:22.0839352Z   test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.501s)
2023-01-11T21:05:22.0839526Z   test_make_fx_symbolic_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (8.251s)
2023-01-11T21:05:22.0839737Z   test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (44.101s)
2023-01-11T21:05:22.0839963Z   test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.468s)
2023-01-11T21:05:22.0840187Z   test_make_fx_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.219s)
2023-01-11T21:05:22.0840384Z   test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s)
2023-01-11T21:05:22.0840577Z   test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.356s)
2023-01-11T21:05:22.0840768Z   test_make_fx_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.358s)
2023-01-11T21:05:22.0840973Z   test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.313s)
2023-01-11T21:05:22.0841168Z   test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.708s)
2023-01-11T21:05:22.0841353Z   test_make_fx_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.430s)
2023-01-11T21:05:22.0841571Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.114s)
2023-01-11T21:05:22.0841790Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s)
2023-01-11T21:05:22.0841994Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (12.090s)
2023-01-11T21:05:22.0842212Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0842417Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.567s)
2023-01-11T21:05:22.0842642Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.047s)
2023-01-11T21:05:22.0843532Z   test_make_fx_symbolic_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0843757Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0844356Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0844580Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0845174Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0845392Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0845995Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:05:22.0846341Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:05:22.0846397Z ok (1.004s)
2023-01-11T21:05:22.0846592Z   test_make_fx_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.212s)
2023-01-11T21:05:22.0846788Z   test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.469s)
2023-01-11T21:05:22.0846982Z   test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.331s)
2023-01-11T21:05:22.0847175Z   test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.819s)
2023-01-11T21:05:22.0847381Z   test_make_fx_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.020s)
2023-01-11T21:05:22.0847578Z   test_make_fx_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0847783Z   test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.744s)
2023-01-11T21:05:22.0847993Z   test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.187s)
2023-01-11T21:05:22.0848174Z   test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (19.471s)
2023-01-11T21:05:22.0848383Z   test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.055s)
2023-01-11T21:05:22.0848594Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0848812Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.047s)
2023-01-11T21:05:22.0849020Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0849238Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.079s)
2023-01-11T21:05:22.0849442Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0849654Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.095s)
2023-01-11T21:05:22.0849844Z   test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2023-01-11T21:05:22.0850037Z   test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s)
2023-01-11T21:05:22.0850252Z   test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s)
2023-01-11T21:05:22.0850459Z   test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2023-01-11T21:05:22.0850672Z   test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.709s)
2023-01-11T21:05:22.0850875Z   test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0851069Z   test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.977s)
2023-01-11T21:05:22.0851362Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.077s)
2023-01-11T21:05:22.0851660Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.817s)
2023-01-11T21:05:22.0851876Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0852091Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0852293Z   test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.324s)
2023-01-11T21:05:22.0852499Z   test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s)
2023-01-11T21:05:22.0852698Z   test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s)
2023-01-11T21:05:22.0852916Z   test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2023-01-11T21:05:22.0853117Z   test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.855s)
2023-01-11T21:05:22.0853307Z   test_make_fx_symbolic_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.962s)
2023-01-11T21:05:22.0853498Z   test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.152s)
2023-01-11T21:05:22.0853684Z   test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s)
2023-01-11T21:05:22.0853887Z   test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2023-01-11T21:05:22.0854077Z   test_make_fx_symbolic_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s)
2023-01-11T21:05:22.0854262Z   test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s)
2023-01-11T21:05:22.0854471Z   test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:05:22.0854656Z   test_make_fx_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.270s)
2023-01-11T21:05:22.0854847Z   test_make_fx_symbolic_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.343s)
2023-01-11T21:05:22.0855048Z   test_make_fx_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.406s)
2023-01-11T21:05:22.0855239Z   test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s)
2023-01-11T21:05:22.0855435Z   test_make_fx_symbolic_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.329s)
2023-01-11T21:05:22.0855627Z   test_make_fx_symbolic_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2023-01-11T21:05:22.0855820Z   test_make_fx_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2023-01-11T21:05:22.0856015Z   test_make_fx_symbolic_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s)
2023-01-11T21:05:22.0856220Z   test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.350s)
2023-01-11T21:05:22.0856439Z   test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.067s)
2023-01-11T21:05:22.0856652Z   test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (17.815s)
2023-01-11T21:05:22.0857259Z   test_make_fx_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0857459Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0857831Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0858027Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0858396Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0858591Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0858964Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0859157Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0859224Z ok (2.552s)
2023-01-11T21:05:22.0859781Z   test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0859960Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0860324Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0860518Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0860882Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0861070Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0861494Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0861686Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0862096Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0862373Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0862793Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0862983Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0863335Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0863525Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0863883Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0864133Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0864532Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0864722Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0865078Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0865268Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0865628Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0865819Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0866164Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:05:22.0866354Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:05:22.0866421Z ok (2.622s)
2023-01-11T21:05:22.0866651Z   test_make_fx_symbolic_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s)
2023-01-11T21:05:22.0866827Z   test_make_fx_symbolic_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.462s)
2023-01-11T21:05:22.0867007Z   test_make_fx_symbolic_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2023-01-11T21:05:22.0867188Z   test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2023-01-11T21:05:22.0867381Z   test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0867572Z   test_make_fx_symbolic_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2023-01-11T21:05:22.0867765Z   test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0867940Z   test_make_fx_symbolic_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0868117Z   test_make_fx_symbolic_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s)
2023-01-11T21:05:22.0868309Z   test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2023-01-11T21:05:22.0868487Z   test_make_fx_symbolic_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2023-01-11T21:05:22.0868685Z   test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2023-01-11T21:05:22.0868864Z   test_make_fx_symbolic_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.164s)
2023-01-11T21:05:22.0869060Z   test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2023-01-11T21:05:22.0869251Z   test_make_fx_symbolic_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2023-01-11T21:05:22.0869462Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0869661Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2023-01-11T21:05:22.0869904Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0870157Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0870366Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0870544Z   test_make_fx_symbolic_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0870718Z   test_make_fx_symbolic_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2023-01-11T21:05:22.0870892Z   test_make_fx_symbolic_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.706s)
2023-01-11T21:05:22.0871064Z   test_make_fx_symbolic_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.257s)
2023-01-11T21:05:22.0871253Z   test_make_fx_symbolic_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2023-01-11T21:05:22.0871437Z   test_make_fx_symbolic_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0871615Z   test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0871794Z   test_make_fx_symbolic_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2023-01-11T21:05:22.0871968Z   test_make_fx_symbolic_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s)
2023-01-11T21:05:22.0872151Z   test_make_fx_symbolic_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.235s)
2023-01-11T21:05:22.0872325Z   test_make_fx_symbolic_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0872505Z   test_make_fx_symbolic_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s)
2023-01-11T21:05:22.0872681Z   test_make_fx_symbolic_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.163s)
2023-01-11T21:05:22.0872853Z   test_make_fx_symbolic_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2023-01-11T21:05:22.0873151Z   test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0873338Z   test_make_fx_symbolic_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.294s)
2023-01-11T21:05:22.0873530Z   test_make_fx_symbolic_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0873705Z   test_make_fx_symbolic_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.683s)
2023-01-11T21:05:22.0873942Z   test_make_fx_symbolic_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.017s)
2023-01-11T21:05:22.0874143Z   test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2023-01-11T21:05:22.0874322Z   test_make_fx_symbolic_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.648s)
2023-01-11T21:05:22.0874514Z   test_make_fx_symbolic_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2023-01-11T21:05:22.0874776Z   test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2023-01-11T21:05:22.0874960Z   test_make_fx_symbolic_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2023-01-11T21:05:22.0875131Z   test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2023-01-11T21:05:22.0875368Z   test_make_fx_symbolic_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.217s)
2023-01-11T21:05:22.0875542Z   test_make_fx_symbolic_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.280s)
2023-01-11T21:05:22.0875742Z   test_make_fx_symbolic_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2023-01-11T21:05:22.0875931Z   test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0876112Z   test_make_fx_symbolic_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0876300Z   test_make_fx_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0876471Z   test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0876643Z   test_make_fx_symbolic_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.371s)
2023-01-11T21:05:22.0876817Z   test_make_fx_symbolic_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0877002Z   test_make_fx_symbolic_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.204s)
2023-01-11T21:05:22.0877178Z   test_make_fx_symbolic_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.607s)
2023-01-11T21:05:22.0877369Z   test_make_fx_symbolic_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.846s)
2023-01-11T21:05:22.0877557Z   test_make_fx_symbolic_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.617s)
2023-01-11T21:05:22.0877745Z   test_make_fx_symbolic_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.615s)
2023-01-11T21:05:22.0877933Z   test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.598s)
2023-01-11T21:05:22.0878122Z   test_make_fx_symbolic_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.858s)
2023-01-11T21:05:22.0878322Z   test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s)
2023-01-11T21:05:22.0878532Z   test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0878730Z   test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:05:22.0878906Z   test_make_fx_symbolic_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2023-01-11T21:05:22.0879089Z   test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s)
2023-01-11T21:05:22.0879292Z   test_make_fx_symbolic_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0879498Z   test_make_fx_symbolic_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.179s)
2023-01-11T21:05:22.0879676Z   test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s)
2023-01-11T21:05:22.0879851Z   test_make_fx_symbolic_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0880042Z   test_make_fx_symbolic_exhaustive_signal_windows_bartlett_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s)
2023-01-11T21:05:22.0880235Z   test_make_fx_symbolic_exhaustive_signal_windows_blackman_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.218s)
2023-01-11T21:05:22.0880413Z   test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2023-01-11T21:05:22.0880609Z   test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2023-01-11T21:05:22.0880837Z   test_make_fx_symbolic_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2023-01-11T21:05:22.0881062Z   test_make_fx_symbolic_exhaustive_signal_windows_general_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s)
2023-01-11T21:05:22.0881267Z   test_make_fx_symbolic_exhaustive_signal_windows_general_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s)
2023-01-11T21:05:22.0881456Z   test_make_fx_symbolic_exhaustive_signal_windows_hamming_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.219s)
2023-01-11T21:05:22.0881646Z   test_make_fx_symbolic_exhaustive_signal_windows_hann_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s)
2023-01-11T21:05:22.0881834Z   test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.174s)
2023-01-11T21:05:22.0882024Z   test_make_fx_symbolic_exhaustive_signal_windows_nuttall_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.223s)
2023-01-11T21:05:22.0882202Z   test_make_fx_symbolic_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2023-01-11T21:05:22.0882363Z   test_make_fx_symbolic_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0882535Z   test_make_fx_symbolic_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2023-01-11T21:05:22.0882705Z   test_make_fx_symbolic_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0882880Z   test_make_fx_symbolic_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.217s)
2023-01-11T21:05:22.0883063Z   test_make_fx_symbolic_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.335s)
2023-01-11T21:05:22.0883239Z   test_make_fx_symbolic_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.311s)
2023-01-11T21:05:22.0883530Z   test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.360s)
2023-01-11T21:05:22.0883771Z   test_make_fx_symbolic_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.452s)
2023-01-11T21:05:22.0884037Z   test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.001s)
2023-01-11T21:05:22.0884252Z   test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0884443Z   test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2023-01-11T21:05:22.0884626Z   test_make_fx_symbolic_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2023-01-11T21:05:22.0884829Z   test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0885030Z   test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0885251Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2023-01-11T21:05:22.0885471Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2023-01-11T21:05:22.0885889Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0886285Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0886534Z   test_make_fx_symbolic_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2023-01-11T21:05:22.0886765Z   test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2023-01-11T21:05:22.0886969Z   test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2023-01-11T21:05:22.0887187Z   test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s)
2023-01-11T21:05:22.0887369Z   test_make_fx_symbolic_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0887549Z   test_make_fx_symbolic_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2023-01-11T21:05:22.0887726Z   test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2023-01-11T21:05:22.0887947Z   test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s)
2023-01-11T21:05:22.0888343Z   test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0888530Z   test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.202s)
2023-01-11T21:05:22.0888743Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0888957Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0889151Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0889364Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0889549Z   test_make_fx_symbolic_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2023-01-11T21:05:22.0889735Z   test_make_fx_symbolic_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0889962Z   test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0890182Z   test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0890396Z   test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2023-01-11T21:05:22.0890803Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0891202Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0891604Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0892003Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:05:22.0892202Z   test_make_fx_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2023-01-11T21:05:22.0892410Z   test_make_fx_symbolic_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.609s)
2023-01-11T21:05:22.0892623Z   test_make_fx_symbolic_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.288s)
2023-01-11T21:05:22.0892798Z   test_make_fx_symbolic_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.403s)
2023-01-11T21:05:22.0892983Z   test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.326s)
2023-01-11T21:05:22.0893167Z   test_make_fx_symbolic_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.363s)
2023-01-11T21:05:22.0893338Z   test_make_fx_symbolic_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0893514Z   test_make_fx_symbolic_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2023-01-11T21:05:22.0893694Z   test_make_fx_symbolic_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2023-01-11T21:05:22.0893870Z   test_make_fx_symbolic_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.460s)
2023-01-11T21:05:22.0894031Z   test_make_fx_symbolic_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.217s)
2023-01-11T21:05:22.0894210Z   test_make_fx_symbolic_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.358s)
2023-01-11T21:05:22.0894460Z   test_make_fx_symbolic_exhaustive_std_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2023-01-11T21:05:22.0894804Z   test_make_fx_symbolic_exhaustive_std_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2023-01-11T21:05:22.0895038Z   test_make_fx_symbolic_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2023-01-11T21:05:22.0895243Z   test_make_fx_symbolic_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.361s)
2023-01-11T21:05:22.0895452Z   test_make_fx_symbolic_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.479s)
2023-01-11T21:05:22.0895681Z   test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s)
2023-01-11T21:05:22.0895906Z   test_make_fx_symbolic_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2023-01-11T21:05:22.0896088Z   test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s)
2023-01-11T21:05:22.0896343Z   test_make_fx_symbolic_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2023-01-11T21:05:22.0896543Z   test_make_fx_symbolic_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2023-01-11T21:05:22.0896806Z   test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0897027Z   test_make_fx_symbolic_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2023-01-11T21:05:22.0897230Z   test_make_fx_symbolic_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2023-01-11T21:05:22.0897438Z   test_make_fx_symbolic_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0897664Z   test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2023-01-11T21:05:22.0897889Z   test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2023-01-11T21:05:22.0898090Z   test_make_fx_symbolic_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.547s)
2023-01-11T21:05:22.0898265Z   test_make_fx_symbolic_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0898538Z   test_make_fx_symbolic_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:05:22.0898793Z   test_make_fx_symbolic_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.273s)
2023-01-11T21:05:22.0898999Z   test_make_fx_symbolic_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0899211Z   test_make_fx_symbolic_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2023-01-11T21:05:22.0899436Z   test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0899686Z   test_make_fx_symbolic_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2023-01-11T21:05:22.0899925Z   test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2023-01-11T21:05:22.0900129Z   test_make_fx_symbolic_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.784s)
2023-01-11T21:05:22.0900291Z   test_make_fx_symbolic_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.520s)
2023-01-11T21:05:22.0900501Z   test_make_fx_symbolic_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.294s)
2023-01-11T21:05:22.0900721Z   test_make_fx_symbolic_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2023-01-11T21:05:22.0900925Z   test_make_fx_symbolic_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.961s)
2023-01-11T21:05:22.0901149Z   test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2023-01-11T21:05:22.0901357Z   test_make_fx_symbolic_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.308s)
2023-01-11T21:05:22.0901570Z   test_make_fx_symbolic_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.817s)
2023-01-11T21:05:22.0901794Z   test_make_fx_symbolic_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2023-01-11T21:05:22.0902063Z   test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s)
2023-01-11T21:05:22.0902319Z   test_make_fx_symbolic_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.006s)
2023-01-11T21:05:22.0902489Z   test_make_fx_symbolic_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s)
2023-01-11T21:05:22.0902709Z   test_make_fx_symbolic_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2023-01-11T21:05:22.0902913Z   test_make_fx_symbolic_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.314s)
2023-01-11T21:05:22.0903133Z   test_make_fx_symbolic_exhaustive_var_mean_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2023-01-11T21:05:22.0903352Z   test_make_fx_symbolic_exhaustive_var_unbiased_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2023-01-11T21:05:22.0903583Z   test_make_fx_symbolic_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2023-01-11T21:05:22.0903796Z   test_make_fx_symbolic_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2023-01-11T21:05:22.0904014Z   test_make_fx_symbolic_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2023-01-11T21:05:22.0904222Z   test_make_fx_symbolic_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.624s)
2023-01-11T21:05:22.0904384Z   test_make_fx_symbolic_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.537s)
2023-01-11T21:05:22.0904656Z   test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2023-01-11T21:05:22.0904860Z   test_make_fx_symbolic_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2023-01-11T21:05:22.0905100Z   test_make_fx_symbolic_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2023-01-11T21:05:22.0905304Z   test_make_fx_symbolic_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.612s)
2023-01-11T21:05:22.0905556Z   test_make_fx_symbolic_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2023-01-11T21:05:22.0905800Z   test_make_fx_symbolic_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2023-01-11T21:05:22.0906010Z   test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s)
2023-01-11T21:05:22.0906174Z   test_binary_broadcast (__main__.TestSymbolicTracing) ... ok (0.039s)
2023-01-11T21:05:22.0906284Z   test_cat (__main__.TestSymbolicTracing) ... ok (0.073s)
2023-01-11T21:05:22.0906482Z   test_debug_interpreter (__main__.TestSymbolicTracing) ... ok (0.025s)
2023-01-11T21:05:22.0906664Z   test_elementwise_meta_with_sym_numbers (__main__.TestSymbolicTracing) ... ok (0.058s)
2023-01-11T21:05:22.0906844Z   test_expand (__main__.TestSymbolicTracing) ... ok (0.039s)
2023-01-11T21:05:22.0907002Z   test_guards_equal (__main__.TestSymbolicTracing) ... ok (0.568s)
2023-01-11T21:05:22.0907148Z   test_item (__main__.TestSymbolicTracing) ... ok (0.012s)
2023-01-11T21:05:22.0907302Z   test_mega_guard (__main__.TestSymbolicTracing) ... ok (0.032s)
2023-01-11T21:05:22.0907455Z   test_metadata (__main__.TestSymbolicTracing) ... ok (0.027s)
2023-01-11T21:05:22.0907577Z   test_metadata_fresh (__main__.TestSymbolicTracing) ... ok (0.020s)
2023-01-11T21:05:22.0907741Z   test_multiply_shape (__main__.TestSymbolicTracing) ... ok (0.018s)
2023-01-11T21:05:22.0907913Z   test_neg_shape (__main__.TestSymbolicTracing) ... ok (0.032s)
2023-01-11T21:05:22.0908068Z   test_new_empty (__main__.TestSymbolicTracing) ... ok (0.039s)
2023-01-11T21:05:22.0908248Z   test_nonidentity_transitive_guards (__main__.TestSymbolicTracing) ... ok (0.154s)
2023-01-11T21:05:22.0908409Z   test_resize_from_zero (__main__.TestSymbolicTracing) ... ok (0.014s)
2023-01-11T21:05:22.0908566Z   test_return_symint (__main__.TestSymbolicTracing) ... ok (0.033s)
2023-01-11T21:05:22.0908676Z   test_rmethod (__main__.TestSymbolicTracing) ... ok (0.016s)
2023-01-11T21:05:22.0908835Z   test_size_with_tensor (__main__.TestSymbolicTracing) ... ok (0.042s)
2023-01-11T21:05:22.0908993Z   test_sqrt_size (__main__.TestSymbolicTracing) ... ok (0.016s)
2023-01-11T21:05:22.0909155Z   test_sym_storage_offset (__main__.TestSymbolicTracing) ... ok (0.022s)
2023-01-11T21:05:22.0909352Z   test_symint_to_tensor (__main__.TestSymbolicTracing) ... ok (0.030s)
2023-01-11T21:05:22.0909501Z   test_unary (__main__.TestSymbolicTracing) ... ok (0.028s)
2023-01-11T21:05:22.0909516Z 
2023-01-11T21:05:22.0909788Z ----------------------------------------------------------------------
2023-01-11T21:05:22.0909896Z Ran 2637 tests in 904.395s
2023-01-11T21:05:22.0909902Z 
2023-01-11T21:05:22.0910032Z OK (skipped=583, expected failures=251)
2023-01-11T21:05:22.0910037Z 
2023-01-11T21:05:22.0910109Z Generating XML reports...
2023-01-11T21:05:22.0910456Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20230111205016.xml
2023-01-11T21:05:22.0910813Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20230111205016.xml
2023-01-11T21:05:22.0911160Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20230111205016.xml
2023-01-11T21:05:22.0911550Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20230111205016.xml
2023-01-11T21:05:22.0911896Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestProxyTensorOpInfoCPU-20230111205016.xml
2023-01-11T21:05:22.0912271Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20230111205016.xml
2023-01-11T21:05:22.0912276Z 
2023-01-11T21:05:22.0912779Z ##[endgroup]
2023-01-11T21:05:22.0913161Z FINISHED PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_cxcdolus)
2023-01-11T21:05:22.0913211Z 
2023-01-11T21:05:23.7653569Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:05:23.9069377Z Ignoring disabled issues:  []
2023-01-11T21:05:23.9220513Z Running test_utils ... [2023-01-11 21:05:23.921732]
2023-01-11T21:05:23.9222207Z Executing ['/opt/conda/bin/python', '-bb', 'test_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:05:23.921994]
2023-01-11T21:05:40.2721933Z 
2023-01-11T21:05:40.2722409Z Expand the folded group to see the log file of test_utils
2023-01-11T21:05:40.2723581Z ##[group]PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_6orvkyup)
2023-01-11T21:05:40.2724439Z Test results will be stored in test-reports/python-unittest/test_utils
2023-01-11T21:05:40.2725063Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:05:40.2725345Z 
2023-01-11T21:05:40.2725482Z Running tests...
2023-01-11T21:05:40.2726042Z ----------------------------------------------------------------------
2023-01-11T21:05:40.2726464Z   test_assert_scriptable (__main__.TestAssert) ... ok (0.200s)
2023-01-11T21:05:40.2726724Z   test_assert_true (__main__.TestAssert) ... ok (0.001s)
2023-01-11T21:05:40.2727548Z   test_bottleneck_cpu_only (__main__.TestBottleneck) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68433 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:05:40.2728124Z   test_bottleneck_cuda (__main__.TestBottleneck) ... skip: No CUDA (0.000s)
2023-01-11T21:05:40.2728394Z   test_checkpoint (__main__.TestCheckpoint) ... ok (0.012s)
2023-01-11T21:05:40.2728672Z   test_checkpoint_module_list (__main__.TestCheckpoint) ... ok (0.010s)
2023-01-11T21:05:40.2729247Z   test_checkpoint_no_tensors (__main__.TestCheckpoint) ... /opt/conda/lib/python3.7/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
2023-01-11T21:05:40.2729690Z   warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
2023-01-11T21:05:40.2729919Z ok (0.002s)
2023-01-11T21:05:40.2730147Z   test_checkpoint_non_tensor (__main__.TestCheckpoint) ... ok (0.001s)
2023-01-11T21:05:40.2730450Z   test_checkpoint_non_tensor_inputs_outputs (__main__.TestCheckpoint) ... ok (0.004s)
2023-01-11T21:05:40.2730805Z   test_checkpoint_not_preserve_rng_state_and_without_reentrant (__main__.TestCheckpoint) ... skip: No CUDA (0.000s)
2023-01-11T21:05:40.2731128Z   test_checkpoint_partial_grad (__main__.TestCheckpoint) ... ok (0.002s)
2023-01-11T21:05:40.2731414Z   test_checkpoint_rng_cpu (__main__.TestCheckpoint) ... ok (0.015s)
2023-01-11T21:05:40.2731712Z   test_checkpoint_rng_cuda (__main__.TestCheckpoint) ... skip: No CUDA (0.001s)
2023-01-11T21:05:40.2732027Z   test_checkpoint_sequential_deprecated_multiple_args (__main__.TestCheckpoint) ... ok (0.001s)
2023-01-11T21:05:40.2732364Z   test_checkpoint_sequential_deprecated_no_args (__main__.TestCheckpoint) ... ok (0.001s)
2023-01-11T21:05:40.2732671Z   test_checkpoint_trigger (__main__.TestCheckpoint) ... ok (0.004s)
2023-01-11T21:05:40.2732945Z   test_checkpoint_valid (__main__.TestCheckpoint) ... ok (0.003s)
2023-01-11T21:05:40.2733266Z   test_checkpointing_without_reentrant_early_free (__main__.TestCheckpoint) ... skip: Test requires CUDA (0.002s)
2023-01-11T21:05:40.2734284Z   test_smoke (__main__.TestCollectEnv) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77345 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:05:40.2734907Z   test_cc_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.039s)
2023-01-11T21:05:40.2735213Z   test_cpp_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.022s)
2023-01-11T21:05:40.2736022Z   test_multi_drop (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82865 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:05:40.2736778Z   test_multi_keep (__main__.TestDataLoaderUtils) ... skip: FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN (0.000s)
2023-01-11T21:05:40.2737343Z   test_random_seed (__main__.TestDataLoaderUtils) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2737942Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2738487Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2739005Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2739540Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2740080Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2740615Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2741145Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:05:40.2741464Z ok (0.058s)
2023-01-11T21:05:40.2741693Z   test_single_drop (__main__.TestDataLoaderUtils) ... ok (0.002s)
2023-01-11T21:05:40.2741973Z   test_single_keep (__main__.TestDataLoaderUtils) ... ok (0.001s)
2023-01-11T21:05:40.2742254Z   test_external_module_register (__main__.TestExtensionUtils) ... ok (0.003s)
2023-01-11T21:05:40.2742538Z   test_import_hipify (__main__.TestHipify) ... ok (0.001s)
2023-01-11T21:05:40.2742809Z   test_check_onnx_broadcast (__main__.TestONNXUtils) ... ok (0.003s)
2023-01-11T21:05:40.2743091Z   test_prepare_onnx_paddings (__main__.TestONNXUtils) ... ok (0.001s)
2023-01-11T21:05:40.2743372Z   test_load_standalone (__main__.TestStandaloneCPPJIT) ... ok (13.971s)
2023-01-11T21:05:40.2743542Z 
2023-01-11T21:05:40.2743742Z ----------------------------------------------------------------------
2023-01-11T21:05:40.2743983Z Ran 31 tests in 14.366s
2023-01-11T21:05:40.2744096Z 
2023-01-11T21:05:40.2744156Z OK (skipped=8)
2023-01-11T21:05:40.2744263Z 
2023-01-11T21:05:40.2744346Z Generating XML reports...
2023-01-11T21:05:40.2744725Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestAssert-20230111210525.xml
2023-01-11T21:05:40.2745248Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20230111210525.xml
2023-01-11T21:05:40.2745782Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20230111210525.xml
2023-01-11T21:05:40.2746297Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20230111210525.xml
2023-01-11T21:05:40.2746797Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20230111210525.xml
2023-01-11T21:05:40.2747289Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestHipify-20230111210525.xml
2023-01-11T21:05:40.2747738Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20230111210525.xml
2023-01-11T21:05:40.2748237Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20230111210525.xml
2023-01-11T21:05:40.2748724Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestBottleneck-20230111210525.xml
2023-01-11T21:05:40.2749192Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20230111210525.xml
2023-01-11T21:05:40.2749406Z 
2023-01-11T21:05:40.2749674Z ##[endgroup]
2023-01-11T21:05:40.2750039Z FINISHED PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_6orvkyup)
2023-01-11T21:05:40.2750243Z 
2023-01-11T21:05:42.0892985Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:05:42.2287680Z Ignoring disabled issues:  []
2023-01-11T21:05:42.2440458Z Running test_transformers ... [2023-01-11 21:05:42.243677]
2023-01-11T21:05:42.2441670Z Executing ['/opt/conda/bin/python', '-bb', 'test_transformers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:05:42.243942]
2023-01-11T21:05:52.8854722Z 
2023-01-11T21:05:52.8855712Z Expand the folded group to see the log file of test_transformers
2023-01-11T21:05:52.8856647Z ##[group]PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_dd0ufgzo)
2023-01-11T21:05:52.8857427Z Test results will be stored in test-reports/python-unittest/test_transformers
2023-01-11T21:05:52.8857710Z 
2023-01-11T21:05:52.8857951Z Running tests...
2023-01-11T21:05:52.8858952Z ----------------------------------------------------------------------
2023-01-11T21:05:52.8859562Z   test_bias_is_none (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8859915Z   test_decoder_only_layer (__main__.TestTransformers) ... skip: Fairseq not found (0.007s)
2023-01-11T21:05:52.8860268Z   test_flash_autocast_fp32_bfloat16 (__main__.TestTransformers) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:05:52.8860605Z   test_flash_autocast_fp32_float16 (__main__.TestTransformers) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:05:52.8861038Z   test_flash_fail_fp32t (__main__.TestTransformers) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:05:52.8861596Z   test_fused_sdp_choice_type_dense (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8862146Z   test_fused_sdp_choice_type_nested (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8862651Z   test_mask_check_fastpath (__main__.TestTransformers)
2023-01-11T21:05:52.8863542Z Test that fastpath is executed independently of the masks that are passed. ... test_transformers.py:916: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T21:05:52.8864606Z   nested_tensor_return_value = torch.nested.nested_tensor([torch.ones((2, 2), dtype=torch.float)])
2023-01-11T21:05:52.8865082Z ok (0.014s)
2023-01-11T21:05:52.8865597Z   test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8866255Z   test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8867085Z   test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8867946Z   test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8868371Z   test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8868900Z   test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8869590Z   test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8870223Z   test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8870956Z   test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8871404Z   test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.009s)
2023-01-11T21:05:52.8871806Z   test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8872210Z   test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8872611Z   test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.026s)
2023-01-11T21:05:52.8873258Z   test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.019s)
2023-01-11T21:05:52.8873941Z   test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.020s)
2023-01-11T21:05:52.8874340Z   test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8874728Z   test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8875101Z   test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8875499Z   test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.009s)
2023-01-11T21:05:52.8875904Z   test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8876305Z   test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8876692Z   test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2023-01-11T21:05:52.8877083Z   test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8877472Z   test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8877868Z   test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.009s)
2023-01-11T21:05:52.8878259Z   test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8878654Z   test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2023-01-11T21:05:52.8879126Z   test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.019s)
2023-01-11T21:05:52.8879557Z   test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.020s)
2023-01-11T21:05:52.8879941Z   test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.020s)
2023-01-11T21:05:52.8880398Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s)
2023-01-11T21:05:52.8880931Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s)
2023-01-11T21:05:52.8881461Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s)
2023-01-11T21:05:52.8881991Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s)
2023-01-11T21:05:52.8882497Z   test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8883118Z   test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8883808Z   test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8884310Z   test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8884792Z   test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8885274Z   test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8885755Z   test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8886241Z   test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8886705Z   test_sdp_fused_grad_against_math_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s)
2023-01-11T21:05:52.8887136Z   test_sdp_fused_grad_against_math_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s)
2023-01-11T21:05:52.8887565Z   test_sdp_math_gradcheck_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8887991Z   test_sdp_math_gradcheck_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2023-01-11T21:05:52.8888368Z   test_sdp_runtime_dispatch (__main__.TestTransformers) ... skip: CUDA unavailable (0.002s)
2023-01-11T21:05:52.8888882Z   test_self_attn_TxT_attn_mask (__main__.TestTransformers) ... skip: 4D mask not supported yet - activate when 4D mask supported (0.001s)
2023-01-11T21:05:52.8889310Z   test_train_with_is_causal_device_cpu (__main__.TestTransformers) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:05:52.8889878Z   test_train_with_pad_and_catch_error_device_cpu (__main__.TestTransformers) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2023-01-11T21:05:52.8890372Z   test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.045s)
2023-01-11T21:05:52.8890796Z   test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.038s)
2023-01-11T21:05:52.8891228Z   test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.039s)
2023-01-11T21:05:52.8891668Z   test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.039s)
2023-01-11T21:05:52.8892110Z   test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.035s)
2023-01-11T21:05:52.8892531Z   test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.034s)
2023-01-11T21:05:52.8892963Z   test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.039s)
2023-01-11T21:05:52.8893426Z   test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.039s)
2023-01-11T21:05:52.8893882Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_12 (__main__.TestTransformers)
2023-01-11T21:05:52.8894500Z Test TransformerEncoder fastpath output matches slowpath output ... test_transformers.py:217: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:05:52.8894969Z   ) for pair in input_mask_pairs
2023-01-11T21:05:52.8895156Z ok (0.724s)
2023-01-11T21:05:52.8895486Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_256 (__main__.TestTransformers)
2023-01-11T21:05:52.8895887Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.163s)
2023-01-11T21:05:52.8896275Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12 (__main__.TestTransformers)
2023-01-11T21:05:52.8896975Z Test TransformerEncoder fastpath output matches slowpath output ... /opt/conda/lib/python3.7/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
2023-01-11T21:05:52.8897535Z   warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
2023-01-11T21:05:52.8897795Z ok (0.731s)
2023-01-11T21:05:52.8898112Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256 (__main__.TestTransformers)
2023-01-11T21:05:52.8898508Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.090s)
2023-01-11T21:05:52.8898912Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12 (__main__.TestTransformers)
2023-01-11T21:05:52.8899300Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.627s)
2023-01-11T21:05:52.8899689Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_256 (__main__.TestTransformers)
2023-01-11T21:05:52.8900079Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.130s)
2023-01-11T21:05:52.8900478Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12 (__main__.TestTransformers)
2023-01-11T21:05:52.8900889Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.619s)
2023-01-11T21:05:52.8901317Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256 (__main__.TestTransformers)
2023-01-11T21:05:52.8901708Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.129s)
2023-01-11T21:05:52.8902100Z   test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2023-01-11T21:05:52.8902497Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.007s)
2023-01-11T21:05:52.8902902Z   test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2023-01-11T21:05:52.8903305Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.007s)
2023-01-11T21:05:52.8903714Z   test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2023-01-11T21:05:52.8904108Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s)
2023-01-11T21:05:52.8904511Z   test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2023-01-11T21:05:52.8904916Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s)
2023-01-11T21:05:52.8905289Z   test_transformerencoderlayer_src_mask_device_cpu_nhead_1 (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8905645Z   test_transformerencoderlayer_src_mask_device_cpu_nhead_4 (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8906017Z   test_transformerencoderlayer_src_mask_device_cpu_nhead_8 (__main__.TestTransformers) ... ok (0.003s)
2023-01-11T21:05:52.8906363Z   test_unaligned_tensors (__main__.TestTransformers) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:05:52.8906545Z 
2023-01-11T21:05:52.8906748Z ----------------------------------------------------------------------
2023-01-11T21:05:52.8906976Z Ran 82 tests in 7.897s
2023-01-11T21:05:52.8907090Z 
2023-01-11T21:05:52.8907166Z OK (skipped=25)
2023-01-11T21:05:52.8907274Z 
2023-01-11T21:05:52.8907359Z Generating XML reports...
2023-01-11T21:05:52.8907759Z Generated XML report: test-reports/python-unittest/test_transformers/TEST-TestTransformers-20230111210544.xml
2023-01-11T21:05:52.8907998Z 
2023-01-11T21:05:52.8908331Z ##[endgroup]
2023-01-11T21:05:52.8908729Z FINISHED PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_dd0ufgzo)
2023-01-11T21:05:52.8908950Z 
2023-01-11T21:05:54.7414331Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:05:54.8828991Z Ignoring disabled issues:  []
2023-01-11T21:05:54.8981492Z Running test_ao_sparsity ... [2023-01-11 21:05:54.897803]
2023-01-11T21:05:54.8983184Z Executing ['/opt/conda/bin/python', '-bb', 'test_ao_sparsity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:05:54.898106]
2023-01-11T21:06:02.8209067Z 
2023-01-11T21:06:02.8209732Z Expand the folded group to see the log file of test_ao_sparsity
2023-01-11T21:06:02.8211054Z ##[group]PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_dz71n7wk)
2023-01-11T21:06:02.8214814Z Test results will be stored in test-reports/python-unittest/test_ao_sparsity
2023-01-11T21:06:02.8215640Z 
2023-01-11T21:06:02.8215957Z Running tests...
2023-01-11T21:06:02.8216663Z ----------------------------------------------------------------------
2023-01-11T21:06:02.8217392Z   test_activation_sparsifier (ao.sparsity.test_activation_sparsifier.TestActivationSparsifier)
2023-01-11T21:06:02.8219052Z Simulates the workflow of the activation sparsifier, starting from object creation ... ok (0.407s)
2023-01-11T21:06:02.8219733Z   test_constructor (ao.sparsity.test_data_scheduler.TestBaseDataScheduler)
2023-01-11T21:06:02.8220583Z Checks if the warning is thrown if the scheduler step is called ... ok (0.002s)
2023-01-11T21:06:02.8221315Z   test_order_of_steps (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.006s)
2023-01-11T21:06:02.8222122Z   test_state_dict (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.004s)
2023-01-11T21:06:02.8222912Z   test_step (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.011s)
2023-01-11T21:06:02.8224652Z   test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name?
2023-01-11T21:06:02.8225906Z   warnings.warn("Replacing existing data of the same name. - Did you mean a different name?")
2023-01-11T21:06:02.8226449Z ok (0.022s)
2023-01-11T21:06:02.8227051Z   test_nn_parameters (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... ok (0.016s)
2023-01-11T21:06:02.8227842Z   test_tensors (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... ok (0.016s)
2023-01-11T21:06:02.8228585Z   test_constructor (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8229303Z   test_mask_squash (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.001s)
2023-01-11T21:06:02.8229974Z   test_mask_squash_with_params1 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8230674Z   test_mask_squash_with_params2 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8231207Z   test_mask_squash_with_params3 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8231906Z   test_prepare_config (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8232634Z   test_state_dict (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.004s)
2023-01-11T21:06:02.8233368Z   test_step (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.001s)
2023-01-11T21:06:02.8234105Z   test_complex_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier)
2023-01-11T21:06:02.8234801Z Test fusion for models that contain Conv2d & Linear modules. ... ok (0.102s)
2023-01-11T21:06:02.8235524Z   test_constructor (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.004s)
2023-01-11T21:06:02.8236345Z   test_prepare_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.030s)
2023-01-11T21:06:02.8237169Z   test_prepare_linear (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.013s)
2023-01-11T21:06:02.8238000Z   test_prune_conv2d_activation_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.175s)
2023-01-11T21:06:02.8238950Z   test_prune_conv2d_bias_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.107s)
2023-01-11T21:06:02.8239740Z   test_prune_conv2d_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.057s)
2023-01-11T21:06:02.8240537Z   test_prune_conv2d_padding_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.301s)
2023-01-11T21:06:02.8241055Z   test_prune_conv2d_pool_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.051s)
2023-01-11T21:06:02.8241654Z   test_prune_linear_activation_linear (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.068s)
2023-01-11T21:06:02.8242145Z   test_prune_linear_bias_linear (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.068s)
2023-01-11T21:06:02.8242589Z   test_prune_linear_linear (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier)
2023-01-11T21:06:02.8243154Z test pruning linear-> linear modules ... ok (0.067s)
2023-01-11T21:06:02.8243860Z   test_step_conv2d (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.027s)
2023-01-11T21:06:02.8244727Z   test_step_linear (ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier) ... ok (0.009s)
2023-01-11T21:06:02.8245704Z   test_convert_without_squash_mask (ao.sparsity.test_composability.TestComposability) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2023-01-11T21:06:02.8246258Z   reduce_range will be deprecated in a future release of PyTorch."
2023-01-11T21:06:02.8246484Z ok (0.256s)
2023-01-11T21:06:02.8246761Z   test_fusion_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.255s)
2023-01-11T21:06:02.8247131Z   test_q_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.251s)
2023-01-11T21:06:02.8247512Z   test_qat_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.011s)
2023-01-11T21:06:02.8247890Z   test_s_prep_before_fusion (ao.sparsity.test_composability.TestComposability) ... ok (0.252s)
2023-01-11T21:06:02.8248245Z   test_s_prep_before_q_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.250s)
2023-01-11T21:06:02.8248620Z   test_s_prep_before_qat_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.014s)
2023-01-11T21:06:02.8248987Z   test_constructor (ao.sparsity.test_scheduler.TestCubicScheduler) ... ok (0.003s)
2023-01-11T21:06:02.8249793Z   test_step (ao.sparsity.test_scheduler.TestCubicScheduler) ... /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/scheduler/base_scheduler.py:127: UserWarning: Detected call of `scheduler.step()` before `sparsifier.step()`. You have to make sure you run the sparsifier.step() BEFORE any calls to the scheduer.step().
2023-01-11T21:06:02.8250323Z   "calls to the scheduer.step().", UserWarning)
2023-01-11T21:06:02.8250512Z ok (0.003s)
2023-01-11T21:06:02.8250781Z   test_jit_trace (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.089s)
2023-01-11T21:06:02.8251147Z   test_masking_logic (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.002s)
2023-01-11T21:06:02.8251511Z   test_state_dict_preserved (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.006s)
2023-01-11T21:06:02.8251895Z   test_weights_parametrized (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.002s)
2023-01-11T21:06:02.8252272Z   test_q_prep_fx_before_s_prep (ao.sparsity.test_composability.TestFxComposability)
2023-01-11T21:06:02.8252709Z This test checks that the ordering of prepare_fx -> sparse prepare -> convert_fx ... ok (0.272s)
2023-01-11T21:06:02.8253054Z   test_q_prep_fx_s_prep_ref_conv (ao.sparsity.test_composability.TestFxComposability)
2023-01-11T21:06:02.8253500Z This checks that the ordering: prepare_fx -> sparse prepare -> convert_to_reference_fx ... ok (0.265s)
2023-01-11T21:06:02.8253865Z   test_s_prep_before_q_prep_fx (ao.sparsity.test_composability.TestFxComposability)
2023-01-11T21:06:02.8254287Z This test checks that the ordering of sparse prepare -> prepare_fx -> convert_fx ... ok (0.271s)
2023-01-11T21:06:02.8254640Z   test_s_prep_before_qat_prep_fx (ao.sparsity.test_composability.TestFxComposability)
2023-01-11T21:06:02.8255077Z This test checks that the ordering of sparse prepare -> prepare_qat_fx -> convert_fx ... ok (0.030s)
2023-01-11T21:06:02.8255432Z   test_s_prep_q_prep_fx_ref (ao.sparsity.test_composability.TestFxComposability)
2023-01-11T21:06:02.8255856Z This checks that the ordering: sparse prepare -> prepare_fx -> convert_to_reference_fx ... ok (0.266s)
2023-01-11T21:06:02.8256235Z   test_constructor (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8256634Z   test_mask_squash (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.003s)
2023-01-11T21:06:02.8257075Z   test_prepare (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8257508Z   test_sparsity_levels (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.415s)
2023-01-11T21:06:02.8257910Z   test_step (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.273s)
2023-01-11T21:06:02.8258301Z   test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.247s)
2023-01-11T21:06:02.8258675Z   test_nn_parameters (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.237s)
2023-01-11T21:06:02.8259055Z   test_tensors (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.226s)
2023-01-11T21:06:02.8259425Z   test_ptq_quantize_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils)
2023-01-11T21:06:02.8259761Z The expectation is post_training_sparse_quantize function ... ok (0.019s)
2023-01-11T21:06:02.8260084Z   test_ptq_sparsify_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils)
2023-01-11T21:06:02.8260415Z The expectation is post_training_sparse_quantize function ... ok (0.008s)
2023-01-11T21:06:02.8260964Z   test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseKernels) ... 2023-01-11 21:06:01,846 - root - INFO - static sparse qlinear is only available in fbgemm
2023-01-11T21:06:02.8261437Z 2023-01-11 21:06:01,875 - root - INFO - static sparse qlinear is only available in fbgemm
2023-01-11T21:06:02.8261821Z 2023-01-11 21:06:01,876 - root - INFO - dynamic sparse qlinear is only available in qnnpack
2023-01-11T21:06:02.8262207Z 2023-01-11 21:06:01,879 - root - INFO - dynamic sparse qlinear is only available in qnnpack
2023-01-11T21:06:02.8262435Z ok (0.096s)
2023-01-11T21:06:02.8262860Z   test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2023-01-11T21:06:02.8263559Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2023-01-11T21:06:02.8263940Z   "must run observer before calling calculate_qparams. " +
2023-01-11T21:06:02.8264438Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:303: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2023-01-11T21:06:02.8264792Z   "must run observer before calling calculate_qparams. " +
2023-01-11T21:06:02.8265003Z ok (0.095s)
2023-01-11T21:06:02.8265283Z   test_sparse_qlinear_serdes (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... ok (0.106s)
2023-01-11T21:06:02.8265629Z   test_constructor (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s)
2023-01-11T21:06:02.8265958Z   test_lambda_scheduler (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s)
2023-01-11T21:06:02.8266279Z   test_order_of_steps (ao.sparsity.test_scheduler.TestScheduler)
2023-01-11T21:06:02.8266587Z Checks if the warning is thrown if the scheduler step is called ... ok (0.004s)
2023-01-11T21:06:02.8266884Z   test_step (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s)
2023-01-11T21:06:02.8267220Z   test_fqn_to_module (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8267532Z Tests that fqn_to_module operates as inverse ... ok (0.005s)
2023-01-11T21:06:02.8267836Z   test_fqn_to_module_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8268157Z Tests that fqn_to_module returns None when it tries to ... ok (0.002s)
2023-01-11T21:06:02.8268489Z   test_fqn_to_module_for_tensors (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8268837Z Tests that fqn_to_module works for tensors, actually all parameters ... ok (0.005s)
2023-01-11T21:06:02.8269170Z   test_get_arg_info_from_tensor_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8269561Z Tests that get_arg_info_from_tensor_fqn works for all parameters of the model. ... ok (0.005s)
2023-01-11T21:06:02.8269954Z   test_get_arg_info_from_tensor_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8270306Z Tests that get_arg_info_from_tensor_fqn works as expected for invalid tensor_fqn ... ok (0.003s)
2023-01-11T21:06:02.8270648Z   test_module_to_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8270979Z Tests that module_to_fqn works as expected when compared to known good ... ok (0.003s)
2023-01-11T21:06:02.8271321Z   test_module_to_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8271700Z Tests that module_to_fqn returns None when an fqn that doesn't ... ok (0.002s)
2023-01-11T21:06:02.8272027Z   test_module_to_fqn_root (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2023-01-11T21:06:02.8272449Z Tests that module_to_fqn returns '' when model and target module are the same ... ok (0.002s)
2023-01-11T21:06:02.8272790Z   test_constructor (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.001s)
2023-01-11T21:06:02.8273286Z   test_mask_squash (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8273657Z   test_prepare (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.002s)
2023-01-11T21:06:02.8274039Z   test_sparsity_levels (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.031s)
2023-01-11T21:06:02.8274398Z   test_step (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.286s)
2023-01-11T21:06:02.8274764Z   test_step_2_of_4 (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.013s)
2023-01-11T21:06:02.8274965Z 
2023-01-11T21:06:02.8275171Z ----------------------------------------------------------------------
2023-01-11T21:06:02.8275413Z Ran 79 tests in 6.181s
2023-01-11T21:06:02.8275513Z 
2023-01-11T21:06:02.8275575Z OK
2023-01-11T21:06:02.8275666Z 
2023-01-11T21:06:02.8275749Z Generating XML reports...
2023-01-11T21:06:02.8276266Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_activation_sparsifier.TestActivationSparsifier-20230111210556.xml
2023-01-11T21:06:02.8276930Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_scheduler.TestBaseDataScheduler-20230111210556.xml
2023-01-11T21:06:02.8277589Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier-20230111210556.xml
2023-01-11T21:06:02.8278232Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20230111210556.xml
2023-01-11T21:06:02.8278915Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier-20230111210556.xml
2023-01-11T21:06:02.8279577Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20230111210556.xml
2023-01-11T21:06:02.8280203Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20230111210556.xml
2023-01-11T21:06:02.8280834Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20230111210556.xml
2023-01-11T21:06:02.8281479Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestFxComposability-20230111210556.xml
2023-01-11T21:06:02.8282129Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier-20230111210556.xml
2023-01-11T21:06:02.8282803Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers-20230111210556.xml
2023-01-11T21:06:02.8283715Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestQuantizationUtils-20230111210556.xml
2023-01-11T21:06:02.8284437Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseKernels-20230111210556.xml
2023-01-11T21:06:02.8285090Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseLayers-20230111210556.xml
2023-01-11T21:06:02.8285692Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestScheduler-20230111210556.xml
2023-01-11T21:06:02.8286323Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions-20230111210556.xml
2023-01-11T21:06:02.8286978Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestWeightNormSparsifier-20230111210556.xml
2023-01-11T21:06:02.8287271Z 
2023-01-11T21:06:02.8287594Z ##[endgroup]
2023-01-11T21:06:02.8287984Z FINISHED PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_dz71n7wk)
2023-01-11T21:06:02.8288206Z 
2023-01-11T21:06:04.6252959Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:04.7644386Z Ignoring disabled issues:  []
2023-01-11T21:06:04.7793346Z Running test_stateless ... [2023-01-11 21:06:04.778994]
2023-01-11T21:06:04.7794896Z Executing ['/opt/conda/bin/python', '-bb', 'test_stateless.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:04.779246]
2023-01-11T21:06:11.5325192Z 
2023-01-11T21:06:11.5325714Z Expand the folded group to see the log file of test_stateless
2023-01-11T21:06:11.5326744Z ##[group]PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_gdgs0m6w)
2023-01-11T21:06:11.5327696Z Test results will be stored in test-reports/python-unittest/test_stateless
2023-01-11T21:06:11.5327944Z 
2023-01-11T21:06:11.5328004Z Running tests...
2023-01-11T21:06:11.5328315Z ----------------------------------------------------------------------
2023-01-11T21:06:11.5328643Z   test_runs_with_optimize_flag (__main__.TestPythonOptimizeMode) ... ok (3.624s)
2023-01-11T21:06:11.5328975Z   test_private_stateless_warns (__main__.TestStatelessDeprecation) ... ok (1.240s)
2023-01-11T21:06:11.5329297Z   test_circular_references (__main__.TestStatelessFunctionalAPI) ... ok (0.023s)
2023-01-11T21:06:11.5329630Z   test_functional_batch_norm (__main__.TestStatelessFunctionalAPI) ... ok (0.003s)
2023-01-11T21:06:11.5329952Z   test_functional_call (__main__.TestStatelessFunctionalAPI) ... ok (0.001s)
2023-01-11T21:06:11.5330582Z   test_functional_call_with_data_parallel (__main__.TestStatelessFunctionalAPI) ... skip: multi-GPU not supported (0.000s)
2023-01-11T21:06:11.5331267Z   test_functional_call_with_gradient (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2023-01-11T21:06:11.5331724Z   test_functional_call_with_jit (__main__.TestStatelessFunctionalAPI) ... ok (0.058s)
2023-01-11T21:06:11.5332087Z   test_reparamertize_module_fail_reset_to_original (__main__.TestStatelessFunctionalAPI) ... ok (0.009s)
2023-01-11T21:06:11.5332474Z   test_reparametrized_module_change_parametrization_original (__main__.TestStatelessFunctionalAPI) ... ok (0.004s)
2023-01-11T21:06:11.5332835Z   test_setattr (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2023-01-11T21:06:11.5333147Z   test_tied_weights_warns (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2023-01-11T21:06:11.5333325Z 
2023-01-11T21:06:11.5333530Z ----------------------------------------------------------------------
2023-01-11T21:06:11.5333757Z Ran 12 tests in 4.970s
2023-01-11T21:06:11.5333870Z 
2023-01-11T21:06:11.5333941Z OK (skipped=1)
2023-01-11T21:06:11.5334046Z 
2023-01-11T21:06:11.5334130Z Generating XML reports...
2023-01-11T21:06:11.5334548Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20230111210606.xml
2023-01-11T21:06:11.5335315Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20230111210606.xml
2023-01-11T21:06:11.5335950Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20230111210606.xml
2023-01-11T21:06:11.5336204Z 
2023-01-11T21:06:11.5336455Z ##[endgroup]
2023-01-11T21:06:11.5336833Z FINISHED PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_gdgs0m6w)
2023-01-11T21:06:11.5337045Z 
2023-01-11T21:06:13.3446338Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:13.4781806Z Ignoring disabled issues:  []
2023-01-11T21:06:13.4931774Z Running dynamo/test_misc ... [2023-01-11 21:06:13.492892]
2023-01-11T21:06:13.4933742Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_misc.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:13.493157]
2023-01-11T21:06:18.7260862Z 
2023-01-11T21:06:18.7261424Z Expand the folded group to see the log file of dynamo/test_misc
2023-01-11T21:06:18.7263456Z ##[group]PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_xk3n856c)
2023-01-11T21:06:18.7264398Z Test results will be stored in test-reports/python-unittest/dynamo.test_misc
2023-01-11T21:06:18.7264729Z 
2023-01-11T21:06:18.7264854Z Running tests...
2023-01-11T21:06:18.7265816Z ----------------------------------------------------------------------
2023-01-11T21:06:18.7266287Z   test_allow_in_graph (__main__.MiscTests) ... ok (0.277s)
2023-01-11T21:06:18.7266894Z   test_autocast (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7267540Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2023-01-11T21:06:18.7267987Z skip: requires cuda (0.001s)
2023-01-11T21:06:18.7268684Z   test_autocast_cpu (__main__.MiscTests) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2023-01-11T21:06:18.7269178Z ok (0.030s)
2023-01-11T21:06:18.7269606Z   test_autocast_device (__main__.MiscTests) ... skip: requires cuda (0.002s)
2023-01-11T21:06:18.7270126Z   test_autocast_float64 (__main__.MiscTests) ... skip: requires cuda (0.002s)
2023-01-11T21:06:18.7270672Z   test_autograd_function_equivalence (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7271278Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2023-01-11T21:06:18.7271652Z ok (0.113s)
2023-01-11T21:06:18.7272444Z   test_autograd_profiler (__main__.MiscTests) ... STAGE:2023-01-11 21:06:15 4232:4232 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:18.7273309Z STAGE:2023-01-11 21:06:15 4232:4232 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:18.7274070Z STAGE:2023-01-11 21:06:15 4232:4232 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:18.7274812Z [2023-01-11 21:06:15,300] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2023-01-11T21:06:18.7275350Z frames [('total', 3), ('ok', 3)]
2023-01-11T21:06:18.7275691Z unimplemented []
2023-01-11T21:06:18.7276102Z graph_break [('Tensor.tolist', 1)]
2023-01-11T21:06:18.7276695Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7277107Z ok (0.018s)
2023-01-11T21:06:18.7277903Z   test_autograd_profiler_enabled (__main__.MiscTests) ... STAGE:2023-01-11 21:06:15 4232:4232 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:18.7278777Z STAGE:2023-01-11 21:06:15 4232:4232 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:18.7279508Z STAGE:2023-01-11 21:06:15 4232:4232 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:18.7279998Z frames [('total', 3), ('ok', 3)]
2023-01-11T21:06:18.7280275Z unimplemented []
2023-01-11T21:06:18.7280792Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2023-01-11T21:06:18.7281651Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:18.7282044Z ok (0.013s)
2023-01-11T21:06:18.7282783Z   test_boolarg (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2023-01-11T21:06:18.7283249Z ok (0.012s)
2023-01-11T21:06:18.7283812Z   test_build_tuple_unpack (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7284417Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7284826Z ok (0.015s)
2023-01-11T21:06:18.7285211Z   test_builder_for_class_with_metaclass (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7285569Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7285790Z ok (0.006s)
2023-01-11T21:06:18.7286158Z   test_builtin_isinstance (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7286414Z ok (0.077s)
2023-01-11T21:06:18.7286657Z   test_builtin_subclasses_as_method_on_class_type (__main__.MiscTests) ... ok (0.003s)
2023-01-11T21:06:18.7286959Z   test_builtin_subclasses_as_method_on_var (__main__.MiscTests) ... ok (0.004s)
2023-01-11T21:06:18.7287268Z   test_call_parent_non_class_methods_from_child (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7287620Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7287843Z ok (0.009s)
2023-01-11T21:06:18.7288197Z   test_callpacked (__main__.MiscTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7288444Z ok (0.012s)
2023-01-11T21:06:18.7288730Z   test_cell_output1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7289077Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7289285Z ok (0.006s)
2023-01-11T21:06:18.7289571Z   test_cell_output2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7289802Z unimplemented []
2023-01-11T21:06:18.7290186Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2023-01-11T21:06:18.7290586Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7290806Z ok (0.009s)
2023-01-11T21:06:18.7291169Z   test_change_backends (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2023-01-11T21:06:18.7291470Z frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7292146Z /opt/conda/lib/python3.7/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2023-01-11T21:06:18.7292884Z   warnings.warn("The TorchScript type system doesn't support "
2023-01-11T21:06:18.7293106Z ok (0.053s)
2023-01-11T21:06:18.7293368Z   test_cond (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7293580Z inline_call []
2023-01-11T21:06:18.7293878Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7294090Z ok (0.014s)
2023-01-11T21:06:18.7294303Z   test_cond_export (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7294638Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7294858Z ok (0.018s)
2023-01-11T21:06:18.7295066Z   test_cond_export_single_arg (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7295413Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7295633Z ok (0.011s)
2023-01-11T21:06:18.7295902Z   test_cond_nested (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7296121Z inline_call []
2023-01-11T21:06:18.7296412Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7296719Z ok (0.016s)
2023-01-11T21:06:18.7296950Z   test_cond_side_effects (__main__.MiscTests) ... expected failure (0.001s)
2023-01-11T21:06:18.7297365Z   test_config_getattr_default (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2023-01-11T21:06:18.7297720Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2023-01-11T21:06:18.7297945Z ok (0.038s)
2023-01-11T21:06:18.7298234Z   test_config_log_level (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7298585Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7298791Z ok (0.005s)
2023-01-11T21:06:18.7299074Z   test_config_obj (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)]
2023-01-11T21:06:18.7299419Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2023-01-11T21:06:18.7299623Z ok (0.024s)
2023-01-11T21:06:18.7299851Z   test_const_dict_variable_python_type (__main__.MiscTests) ... ok (0.001s)
2023-01-11T21:06:18.7300454Z   test_cross_entropy_loss_fancy_ctor (__main__.MiscTests) ... /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2023-01-11T21:06:18.7300852Z   warnings.warn(warning.format(ret))
2023-01-11T21:06:18.7301032Z ok (0.002s)
2023-01-11T21:06:18.7301255Z   test_cross_entropy_loss_simple_ctor (__main__.MiscTests) ... ok (0.002s)
2023-01-11T21:06:18.7301611Z   test_dataclass_fields (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7301824Z inline_call []
2023-01-11T21:06:18.7302121Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2023-01-11T21:06:18.7302343Z ok (0.039s)
2023-01-11T21:06:18.7302636Z   test_dict_mutation_side_effect (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7302995Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7303220Z ok (0.006s)
2023-01-11T21:06:18.7303538Z   test_dict_reconstruct_keeps_original_order (__main__.MiscTests) ... frames [('total', 14), ('ok', 13)]
2023-01-11T21:06:18.7304002Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2023-01-11T21:06:18.7304931Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.7/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2023-01-11T21:06:18.7305598Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2023-01-11T21:06:18.7305825Z ok (0.042s)
2023-01-11T21:06:18.7306092Z   test_dictcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7306315Z inline_call []
2023-01-11T21:06:18.7306607Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7306815Z ok (0.008s)
2023-01-11T21:06:18.7307022Z   test_disable_flag (__main__.MiscTests) ... ok (0.002s)
2023-01-11T21:06:18.7307277Z   test_disable_optimize (__main__.MiscTests) ... ok (0.002s)
2023-01-11T21:06:18.7307605Z   test_disallow_in_graph (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7307835Z unimplemented []
2023-01-11T21:06:18.7308209Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2023-01-11T21:06:18.7308603Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7308824Z ok (0.012s)
2023-01-11T21:06:18.7309038Z   test_dunder_methods (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7309373Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2023-01-11T21:06:18.7309620Z ok (0.023s)
2023-01-11T21:06:18.7309849Z   test_duplicate_graph_break_warning (__main__.MiscTests) ... break
2023-01-11T21:06:18.7310063Z break
2023-01-11T21:06:18.7310254Z frames [('total', 9), ('ok', 9)]
2023-01-11T21:06:18.7310619Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2023-01-11T21:06:18.7310873Z unimplemented []
2023-01-11T21:06:18.7311181Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2023-01-11T21:06:18.7311555Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2023-01-11T21:06:18.7311776Z ok (0.030s)
2023-01-11T21:06:18.7311990Z   test_dynamo_min_operator_with_shape (__main__.MiscTests) ... ok (0.003s)
2023-01-11T21:06:18.7312337Z   test_empty_list (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7312678Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:18.7312897Z ok (0.009s)
2023-01-11T21:06:18.7313350Z   test_enum_no_graphbreaks (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2023-01-11T21:06:18.7313621Z ok (0.011s)
2023-01-11T21:06:18.7313925Z   test_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7314269Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7314488Z ok (0.005s)
2023-01-11T21:06:18.7314834Z   test_fold (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7315071Z ok (0.005s)
2023-01-11T21:06:18.7315454Z   test_frozenset_torch_func_contains (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2023-01-11T21:06:18.7315730Z ok (0.010s)
2023-01-11T21:06:18.7316093Z   test_function_annotation (__main__.MiscTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:18.7316344Z ok (0.009s)
2023-01-11T21:06:18.7316694Z   test_generate_tensor_from_list_of_numpy_primitive_type (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7316959Z unimplemented []
2023-01-11T21:06:18.7317161Z graph_break [('numpy', 1)]
2023-01-11T21:06:18.7317472Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7317694Z ok (0.009s)
2023-01-11T21:06:18.7317903Z   test_get_device (__main__.MiscTests) ... skip: requires cuda (0.001s)
2023-01-11T21:06:18.7318235Z   test_grad (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7318456Z unimplemented []
2023-01-11T21:06:18.7318678Z graph_break [('Tensor.backward', 1)]
2023-01-11T21:06:18.7319003Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7319224Z ok (0.013s)
2023-01-11T21:06:18.7319513Z   test_grad_mode_guard (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7319729Z unimplemented []
2023-01-11T21:06:18.7319965Z graph_break [('Tensor.tolist', 1)]
2023-01-11T21:06:18.7320279Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7320486Z ok (0.013s)
2023-01-11T21:06:18.7320772Z   test_graph_break (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2023-01-11T21:06:18.7320997Z unimplemented []
2023-01-11T21:06:18.7321355Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 2)]
2023-01-11T21:06:18.7321747Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2023-01-11T21:06:18.7321968Z ok (0.017s)
2023-01-11T21:06:18.7322319Z   test_guard_failure_fn (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:18.7322580Z ok (0.013s)
2023-01-11T21:06:18.7322944Z   test_guard_failure_fn2 (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:18.7323205Z ok (0.011s)
2023-01-11T21:06:18.7323775Z   test_id_of_nn_module (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2023-01-11T21:06:18.7324030Z ok (0.011s)
2023-01-11T21:06:18.7324443Z   test_if_cond_nn_mod (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2023-01-11T21:06:18.7324686Z ok (0.012s)
2023-01-11T21:06:18.7324978Z   test_inference_mode (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7325327Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7325548Z ok (0.007s)
2023-01-11T21:06:18.7325831Z   test_inline_dict_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7326062Z inline_call []
2023-01-11T21:06:18.7326356Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7326560Z ok (0.016s)
2023-01-11T21:06:18.7326886Z   test_inline_func_jump_on_tensor_condition (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)]
2023-01-11T21:06:18.7327220Z inline_call [('generic_jump TensorVariable()', 1)]
2023-01-11T21:06:18.7327425Z unimplemented []
2023-01-11T21:06:18.7327687Z graph_break [('generic_jump TensorVariable()', 1)]
2023-01-11T21:06:18.7328022Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2023-01-11T21:06:18.7328235Z ok (0.013s)
2023-01-11T21:06:18.7328537Z   test_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7328763Z inline_call []
2023-01-11T21:06:18.7329043Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7329261Z ok (0.015s)
2023-01-11T21:06:18.7329612Z   test_inplace (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7329867Z ok (0.011s)
2023-01-11T21:06:18.7330229Z   test_inplace_param_update (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2023-01-11T21:06:18.7330499Z ok (0.007s)
2023-01-11T21:06:18.7330783Z   test_is_compiling (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7331117Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7331340Z ok (0.009s)
2023-01-11T21:06:18.7331701Z   test_is_floating_point (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7331960Z ok (0.007s)
2023-01-11T21:06:18.7332312Z   test_is_floating_point2 (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7332575Z ok (0.007s)
2023-01-11T21:06:18.7332922Z   test_is_tensor (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7333161Z ok (0.007s)
2023-01-11T21:06:18.7333441Z   test_is_tensor2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7333784Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:18.7333998Z ok (0.014s)
2023-01-11T21:06:18.7334361Z   test_is_tensor_like (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2023-01-11T21:06:18.7334619Z ok (0.013s)
2023-01-11T21:06:18.7334896Z   test_is_tensor_like2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2023-01-11T21:06:18.7335125Z unimplemented []
2023-01-11T21:06:18.7335447Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2023-01-11T21:06:18.7335818Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:18.7336025Z ok (0.016s)
2023-01-11T21:06:18.7336372Z   test_item (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7336622Z ok (0.017s)
2023-01-11T21:06:18.7336965Z   test_item_changes (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:18.7337271Z ok (0.031s)
2023-01-11T21:06:18.7337659Z   test_item_changes_new_shape (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:18.7337949Z ok (0.032s)
2023-01-11T21:06:18.7338168Z   test_large_reduction_list (__main__.MiscTests) ... ok (0.011s)
2023-01-11T21:06:18.7338472Z   test_linetable_writer (__main__.MiscTests) ... skip: use linetable when python >= 3.10 (0.001s)
2023-01-11T21:06:18.7338858Z   test_list_append_return_none (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7339202Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7339424Z ok (0.005s)
2023-01-11T21:06:18.7339700Z   test_list_mul (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7339898Z ok (0.002s)
2023-01-11T21:06:18.7340178Z   test_listcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7340397Z inline_call []
2023-01-11T21:06:18.7340678Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2023-01-11T21:06:18.7340901Z ok (0.010s)
2023-01-11T21:06:18.7341114Z   test_lnotab_writer (__main__.MiscTests) ... ok (0.001s)
2023-01-11T21:06:18.7341513Z   test_manual_seed (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7341755Z ok (0.009s)
2023-01-11T21:06:18.7342102Z   test_matmul1 (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7342353Z ok (0.026s)
2023-01-11T21:06:18.7342552Z   test_module_complex_iter (__main__.MiscTests) ... ok (0.010s)
2023-01-11T21:06:18.7342893Z   test_module_deepcopy (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)]
2023-01-11T21:06:18.7343122Z unimplemented []
2023-01-11T21:06:18.7343429Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 2)]
2023-01-11T21:06:18.7343672Z inline_call []
2023-01-11T21:06:18.7343966Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2023-01-11T21:06:18.7344172Z ok (0.053s)
2023-01-11T21:06:18.7344384Z   test_named_parameters (__main__.MiscTests) ... ok (0.024s)
2023-01-11T21:06:18.7344717Z   test_namedtuple1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7345063Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7345267Z ok (0.008s)
2023-01-11T21:06:18.7345555Z   test_namedtuple2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7345898Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7346102Z ok (0.008s)
2023-01-11T21:06:18.7346386Z   test_namedtuple3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7346727Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7346935Z ok (0.007s)
2023-01-11T21:06:18.7347210Z   test_nan (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7347544Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7347763Z ok (0.005s)
2023-01-11T21:06:18.7347966Z   test_nested_closure (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7348302Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2023-01-11T21:06:18.7348521Z ok (0.034s)
2023-01-11T21:06:18.7348742Z   test_nested_closure_mutation (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7349078Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2023-01-11T21:06:18.7349298Z ok (0.026s)
2023-01-11T21:06:18.7349732Z   test_nested_disable_decorator (__main__.MiscTests) ... [2023-01-11 21:06:16,453] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 dynamo/test_misc.py line 1197 
2023-01-11T21:06:18.7350018Z due to: 
2023-01-11T21:06:18.7350198Z Traceback (most recent call last):
2023-01-11T21:06:18.7350602Z   File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2023-01-11T21:06:18.7350861Z     raise Unsupported(msg)
2023-01-11T21:06:18.7351275Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7f87e47a2050>
2023-01-11T21:06:18.7351540Z 
2023-01-11T21:06:18.7351610Z from user code:
2023-01-11T21:06:18.7351813Z    File "dynamo/test_misc.py", line 1199, in fn3
2023-01-11T21:06:18.7352000Z     return fn2(x)
2023-01-11T21:06:18.7352202Z   File "dynamo/test_misc.py", line 1192, in fn2
2023-01-11T21:06:18.7352409Z     x = fn1(x)  # graph break
2023-01-11T21:06:18.7352525Z 
2023-01-11T21:06:18.7352641Z Set torch._dynamo.config.verbose=True for more information
2023-01-11T21:06:18.7352800Z 
2023-01-11T21:06:18.7352804Z 
2023-01-11T21:06:18.7352923Z frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7353192Z unimplemented []
2023-01-11T21:06:18.7353624Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7f87e47a2050>', 1)]
2023-01-11T21:06:18.7354043Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:18.7354516Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7f87e47a2050>', 1)]
2023-01-11T21:06:18.7354807Z ok (0.015s)
2023-01-11T21:06:18.7355158Z   test_nested_optimize (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:18.7355418Z ok (0.016s)
2023-01-11T21:06:18.7355650Z   test_nested_optimize_decorator (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7356001Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2023-01-11T21:06:18.7356207Z ok (0.009s)
2023-01-11T21:06:18.7356574Z   test_nested_optimize_run (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:18.7356840Z ok (0.014s)
2023-01-11T21:06:18.7357202Z   test_nn_functional_reduction (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7357466Z ok (0.006s)
2023-01-11T21:06:18.7357687Z   test_nn_sequential_invocation (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7358022Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7358243Z ok (0.025s)
2023-01-11T21:06:18.7358488Z   test_nn_sequential_invocation_reposition_indices (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7358857Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7359065Z ok (0.020s)
2023-01-11T21:06:18.7359372Z   test_no_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7359726Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7359935Z ok (0.006s)
2023-01-11T21:06:18.7360286Z   test_no_grad (__main__.MiscTests) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2023-01-11T21:06:18.7360538Z ok (0.057s)
2023-01-11T21:06:18.7360821Z   test_not_dynamic_scope (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7361047Z inline_call []
2023-01-11T21:06:18.7361336Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7361542Z ok (0.006s)
2023-01-11T21:06:18.7361886Z   test_numel (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7362135Z ok (0.007s)
2023-01-11T21:06:18.7362430Z   test_numpy_int_constant (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7362770Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7362988Z ok (0.007s)
2023-01-11T21:06:18.7363342Z   test_numpy_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7363883Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7364104Z ok (0.005s)
2023-01-11T21:06:18.7364393Z   test_object_classmethod (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7364728Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7364950Z ok (0.011s)
2023-01-11T21:06:18.7365172Z   test_object_staticmethod (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7365517Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7365725Z ok (0.010s)
2023-01-11T21:06:18.7366103Z   test_onnx_shape_as_tensor (__main__.MiscTests) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2023-01-11T21:06:18.7366368Z ok (0.089s)
2023-01-11T21:06:18.7366721Z   test_optimize_on_module (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7366986Z ok (0.006s)
2023-01-11T21:06:18.7367333Z   test_pair (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2023-01-11T21:06:18.7367573Z ok (0.020s)
2023-01-11T21:06:18.7367861Z   test_python_slice (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7368079Z ok (0.007s)
2023-01-11T21:06:18.7368365Z   test_raise_on_backend_error (__main__.MiscTests) ... frames [('total', 1)]
2023-01-11T21:06:18.7368667Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2023-01-11T21:06:18.7368870Z ok (0.006s)
2023-01-11T21:06:18.7369146Z   test_raises (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7369355Z unimplemented []
2023-01-11T21:06:18.7369665Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2023-01-11T21:06:18.7370028Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7370235Z ok (0.010s)
2023-01-11T21:06:18.7370449Z   test_rand (__main__.MiscTests) ... skip: requires cuda (0.001s)
2023-01-11T21:06:18.7370707Z   test_range_input (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7371030Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7371252Z ok (0.008s)
2023-01-11T21:06:18.7371569Z   test_recursive_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7371815Z inline_call []
2023-01-11T21:06:18.7372094Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2023-01-11T21:06:18.7372315Z ok (0.016s)
2023-01-11T21:06:18.7372614Z   test_release_input_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7372959Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7373181Z ok (0.004s)
2023-01-11T21:06:18.7373479Z   test_release_module_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7373821Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7374041Z ok (0.009s)
2023-01-11T21:06:18.7374439Z   test_repro_graph_breaks_in__get_item_by_idx (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7374718Z ok (0.010s)
2023-01-11T21:06:18.7375001Z   test_restore_graphstate (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)]
2023-01-11T21:06:18.7375320Z inline_call [('generic_jump TensorVariable()', 1)]
2023-01-11T21:06:18.7375537Z unimplemented []
2023-01-11T21:06:18.7375786Z graph_break [('generic_jump TensorVariable()', 1)]
2023-01-11T21:06:18.7376119Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2023-01-11T21:06:18.7376340Z ok (0.022s)
2023-01-11T21:06:18.7376712Z   test_restore_graphstate_internals (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7377038Z ok (0.008s)
2023-01-11T21:06:18.7377340Z   test_return_nested_function (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7377712Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2023-01-11T21:06:18.7377935Z ok (0.015s)
2023-01-11T21:06:18.7378143Z   test_sample_input (__main__.MiscTests) ... ok (0.812s)
2023-01-11T21:06:18.7378483Z   test_setattr_mutation1 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7378911Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2023-01-11T21:06:18.7379430Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2023-01-11T21:06:18.7379776Z frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7380074Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2023-01-11T21:06:18.7380297Z ok (0.020s)
2023-01-11T21:06:18.7380590Z   test_setattr_mutation2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7380804Z inline_call []
2023-01-11T21:06:18.7381101Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2023-01-11T21:06:18.7381326Z ok (0.015s)
2023-01-11T21:06:18.7381617Z   test_setattr_mutation3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7381827Z inline_call []
2023-01-11T21:06:18.7382117Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2023-01-11T21:06:18.7382338Z ok (0.016s)
2023-01-11T21:06:18.7382611Z   test_shape_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7382955Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7383174Z ok (0.005s)
2023-01-11T21:06:18.7383491Z   test_side_effects_codegen_update_mutated (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)]
2023-01-11T21:06:18.7383744Z unimplemented []
2023-01-11T21:06:18.7383972Z graph_break [('Tensor.item', 4)]
2023-01-11T21:06:18.7384269Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2023-01-11T21:06:18.7384491Z ok (0.030s)
2023-01-11T21:06:18.7384773Z   test_size_input (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7385111Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:18.7385317Z ok (0.008s)
2023-01-11T21:06:18.7385670Z   test_slice_input (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2023-01-11T21:06:18.7385925Z ok (0.032s)
2023-01-11T21:06:18.7386215Z   test_tensor_build_list_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7386571Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7386790Z ok (0.012s)
2023-01-11T21:06:18.7387128Z   test_tensor_data (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7387384Z ok (0.013s)
2023-01-11T21:06:18.7387664Z   test_tensor_dict1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7388007Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7388212Z ok (0.006s)
2023-01-11T21:06:18.7388495Z   test_tensor_dict2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2023-01-11T21:06:18.7388843Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2023-01-11T21:06:18.7389049Z ok (0.033s)
2023-01-11T21:06:18.7389364Z   test_tensor_dot_grad_no_graph_break (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7389607Z unimplemented []
2023-01-11T21:06:18.7389833Z graph_break [('Tensor.backward', 1)]
2023-01-11T21:06:18.7390153Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:18.7390373Z ok (0.016s)
2023-01-11T21:06:18.7390697Z   test_tensor_is_contiguous (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7391054Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:18.7391273Z ok (0.069s)
2023-01-11T21:06:18.7391601Z   test_tensor_item_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7391941Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7392161Z ok (0.007s)
2023-01-11T21:06:18.7392459Z   test_tensor_item_no_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7392679Z unimplemented []
2023-01-11T21:06:18.7392906Z graph_break [('Tensor.item', 1)]
2023-01-11T21:06:18.7393368Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7393575Z ok (0.006s)
2023-01-11T21:06:18.7393933Z   test_tensor_layout (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7394192Z ok (0.012s)
2023-01-11T21:06:18.7394469Z   test_tensor_types (__main__.MiscTests) ... frames [('total', 10), ('ok', 10)]
2023-01-11T21:06:18.7394822Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2023-01-11T21:06:18.7395047Z ok (0.079s)
2023-01-11T21:06:18.7395412Z   test_top_package_import (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7395664Z ok (0.006s)
2023-01-11T21:06:18.7396035Z   test_torch_cuda_is_available (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7396304Z ok (0.006s)
2023-01-11T21:06:18.7396533Z   test_torch_cudnn_is_acceptable (__main__.MiscTests) ... skip: requires cuda (0.001s)
2023-01-11T21:06:18.7396862Z   test_torch_cudnn_is_acceptable_bad_inputs (__main__.MiscTests) ... skip: requires cuda (0.001s)
2023-01-11T21:06:18.7397258Z   test_torch_nn_parameter_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7397628Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7397835Z ok (0.012s)
2023-01-11T21:06:18.7398589Z   test_torch_profiler (__main__.MiscTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/91868 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:06:18.7399630Z   test_torch_seed (__main__.MiscTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/91867 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:06:18.7400647Z   test_torch_size (__main__.MiscTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/91866 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:06:18.7401243Z   test_type_copy (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7401580Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:18.7401805Z ok (0.015s)
2023-01-11T21:06:18.7402122Z   test_typing_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7402473Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7402694Z ok (0.006s)
2023-01-11T21:06:18.7403043Z   test_unpack4 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2023-01-11T21:06:18.7403297Z ok (0.016s)
2023-01-11T21:06:18.7403839Z   test_unpack5 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2023-01-11T21:06:18.7404093Z ok (0.016s)
2023-01-11T21:06:18.7404493Z   test_update_locals_and_stack_uses_shared_cache (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:06:18.7404734Z inline_call []
2023-01-11T21:06:18.7404907Z unimplemented []
2023-01-11T21:06:18.7405232Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2023-01-11T21:06:18.7405461Z ok (0.009s)
2023-01-11T21:06:18.7405838Z   test_user_defined_class_name (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7406106Z ok (0.009s)
2023-01-11T21:06:18.7406356Z   test_user_function_variable_supports_enum_argument (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7406582Z ok (0.005s)
2023-01-11T21:06:18.7406834Z   test_user_function_variable_supports_function_argument (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7407211Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7407422Z ok (0.006s)
2023-01-11T21:06:18.7407680Z   test_user_function_variable_supports_type_abcmeta_argument (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7408059Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:18.7408267Z ok (0.006s)
2023-01-11T21:06:18.7408555Z   test_user_getattr1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7408777Z inline_call []
2023-01-11T21:06:18.7409058Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7409280Z ok (0.007s)
2023-01-11T21:06:18.7409568Z   test_user_getattr2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7409788Z inline_call []
2023-01-11T21:06:18.7410067Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7410288Z ok (0.008s)
2023-01-11T21:06:18.7410579Z   test_user_property (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:18.7410789Z inline_call []
2023-01-11T21:06:18.7411084Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7411305Z ok (0.006s)
2023-01-11T21:06:18.7411508Z   test_usr_cls_classmethod (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7411847Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7412068Z ok (0.008s)
2023-01-11T21:06:18.7412276Z   test_usr_cls_staticmethod (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7412618Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:18.7412837Z ok (0.008s)
2023-01-11T21:06:18.7413030Z   test_version_ci (__main__.MiscTests) ... ok (0.001s)
2023-01-11T21:06:18.7413296Z   test_write_to_closures_in_inlining (__main__.MiscTests) ... inline_call []
2023-01-11T21:06:18.7413642Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:18.7413860Z ok (0.010s)
2023-01-11T21:06:18.7414049Z   test_jit_save (__main__.TestTracer) ... ok (0.042s)
2023-01-11T21:06:18.7414188Z 
2023-01-11T21:06:18.7414390Z ----------------------------------------------------------------------
2023-01-11T21:06:18.7414633Z Ran 161 tests in 3.416s
2023-01-11T21:06:18.7414748Z 
2023-01-11T21:06:18.7414829Z OK (skipped=11, expected failures=1)
2023-01-11T21:06:18.7414958Z 
2023-01-11T21:06:18.7415047Z Generating XML reports...
2023-01-11T21:06:18.7415438Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-MiscTests-20230111210614.xml
2023-01-11T21:06:18.7415921Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-TestTracer-20230111210614.xml
2023-01-11T21:06:18.7416123Z 
2023-01-11T21:06:18.7416442Z ##[endgroup]
2023-01-11T21:06:18.7416825Z FINISHED PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_xk3n856c)
2023-01-11T21:06:18.7417096Z 
2023-01-11T21:06:20.5442859Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:20.6794293Z Ignoring disabled issues:  []
2023-01-11T21:06:20.6946764Z Running dynamo/test_export ... [2023-01-11 21:06:20.694405]
2023-01-11T21:06:20.6949030Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:20.694657]
2023-01-11T21:06:24.7931094Z 
2023-01-11T21:06:24.7931622Z Expand the folded group to see the log file of dynamo/test_export
2023-01-11T21:06:24.7932745Z ##[group]PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_1oth79zh)
2023-01-11T21:06:24.7933765Z Test results will be stored in test-reports/python-unittest/dynamo.test_export
2023-01-11T21:06:24.7934105Z 
2023-01-11T21:06:24.7934229Z Running tests...
2023-01-11T21:06:24.7934767Z ----------------------------------------------------------------------
2023-01-11T21:06:24.7935298Z   test_dict_return (__main__.ExportTests) ... ok (0.277s)
2023-01-11T21:06:24.7936137Z   test_dict_return_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:24.7936886Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:24.7937275Z ok (0.037s)
2023-01-11T21:06:24.7937943Z   test_dupes (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7938409Z ok (0.009s)
2023-01-11T21:06:24.7939056Z   test_dupes_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7939524Z ok (0.008s)
2023-01-11T21:06:24.7940230Z   test_dupes_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7940704Z ok (0.020s)
2023-01-11T21:06:24.7941403Z   test_dupes_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7941892Z ok (0.009s)
2023-01-11T21:06:24.7942684Z   test_dupes_and_bypass_reorder_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7943218Z ok (0.100s)
2023-01-11T21:06:24.7943829Z   test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7944179Z ok (0.031s)
2023-01-11T21:06:24.7944630Z   test_dupes_and_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7944912Z ok (0.028s)
2023-01-11T21:06:24.7945303Z   test_dupes_and_bypass_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7945691Z ok (0.010s)
2023-01-11T21:06:24.7946098Z   test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7946393Z ok (0.021s)
2023-01-11T21:06:24.7946792Z   test_dupes_and_bypass_with_non_tensor_output (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:24.7947058Z ok (0.014s)
2023-01-11T21:06:24.7947606Z   test_dupes_and_bypass_with_non_tensor_output_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:24.7947899Z ok (0.014s)
2023-01-11T21:06:24.7948271Z   test_dupes_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7948525Z ok (0.086s)
2023-01-11T21:06:24.7948727Z   test_export (__main__.ExportTests) ... inline_call []
2023-01-11T21:06:24.7949350Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2023-01-11T21:06:24.7949563Z ok (0.120s)
2023-01-11T21:06:24.7950121Z   test_export_compare_optimize_with_make_fx (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:24.7950404Z ok (0.234s)
2023-01-11T21:06:24.7951276Z   test_export_decomp (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:24.7951606Z ok (0.061s)
2023-01-11T21:06:24.7951979Z   test_export_decomp_asserts_bad_args (__main__.ExportTests) ... ok (0.001s)
2023-01-11T21:06:24.7952511Z   test_export_decomp_asserts_bad_args_mode (__main__.ExportTests) ... ok (0.001s)
2023-01-11T21:06:24.7953236Z   test_export_graph_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7953680Z ok (0.012s)
2023-01-11T21:06:24.7954212Z   test_export_graph_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7954534Z ok (0.022s)
2023-01-11T21:06:24.7955227Z   test_export_graph_with_complex_reorder (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:24.7955662Z ok (0.016s)
2023-01-11T21:06:24.7956478Z   test_export_graph_with_complex_reorder_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:24.7956876Z ok (0.040s)
2023-01-11T21:06:24.7957510Z   test_export_graph_with_list (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7957928Z ok (0.015s)
2023-01-11T21:06:24.7958420Z   test_export_graph_with_list_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7958794Z ok (0.025s)
2023-01-11T21:06:24.7959258Z   test_export_meta_val (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:24.7959571Z ok (0.080s)
2023-01-11T21:06:24.7960259Z   test_export_mismatched_out (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7960606Z ok (0.010s)
2023-01-11T21:06:24.7961298Z   test_export_mismatched_out_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7961653Z ok (0.009s)
2023-01-11T21:06:24.7962335Z   test_export_mismatched_out_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7962835Z ok (0.021s)
2023-01-11T21:06:24.7963783Z   test_export_mismatched_out_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7964248Z ok (0.022s)
2023-01-11T21:06:24.7964568Z   test_export_shape_control_flow_1 (__main__.ExportTests) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:06:24.7965107Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:24.7965402Z ok (0.059s)
2023-01-11T21:06:24.7965625Z   test_export_with_aten_graph (__main__.ExportTests) ... inline_call []
2023-01-11T21:06:24.7965983Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2023-01-11T21:06:24.7966192Z ok (0.384s)
2023-01-11T21:06:24.7966582Z   test_export_with_constant_dict_values (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:24.7966856Z ok (0.011s)
2023-01-11T21:06:24.7967243Z   test_export_with_constant_free_function (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:24.7967510Z ok (0.022s)
2023-01-11T21:06:24.7968177Z   test_export_with_constant_free_function_and_class_method (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:24.7968471Z ok (0.014s)
2023-01-11T21:06:24.7968949Z   test_export_with_constant_free_function_and_class_method_multiarg (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:24.7969249Z ok (0.016s)
2023-01-11T21:06:24.7969691Z   test_export_with_constant_free_function_and_class_method_multiarg_diff (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:24.7969996Z ok (0.008s)
2023-01-11T21:06:24.7970371Z   test_export_with_constant_list_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2023-01-11T21:06:24.7970641Z ok (0.021s)
2023-01-11T21:06:24.7971053Z   test_export_with_constant_list_nonzero_free_function (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2023-01-11T21:06:24.7971340Z ok (0.020s)
2023-01-11T21:06:24.7971756Z   test_export_with_constant_method_on_module (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:24.7972201Z ok (0.014s)
2023-01-11T21:06:24.7972681Z   test_export_with_constant_method_on_module_invoke_twice (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2023-01-11T21:06:24.7973120Z ok (0.017s)
2023-01-11T21:06:24.7973678Z   test_export_with_constant_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:24.7973958Z ok (0.007s)
2023-01-11T21:06:24.7974368Z   test_export_with_constant_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:24.7974640Z ok (0.006s)
2023-01-11T21:06:24.7975135Z   test_export_with_constant_not_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:24.7975418Z ok (0.008s)
2023-01-11T21:06:24.7976093Z   test_export_with_constant_not_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:24.7976582Z ok (0.008s)
2023-01-11T21:06:24.7977285Z   test_export_with_constant_not_none_control_flow_pos (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:06:24.7977824Z ok (0.008s)
2023-01-11T21:06:24.7978425Z   test_export_with_constant_not_return_const (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:24.7978939Z ok (0.006s)
2023-01-11T21:06:24.7979707Z   test_export_with_constant_tuple_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2023-01-11T21:06:24.7980108Z ok (0.020s)
2023-01-11T21:06:24.7980411Z   test_export_with_module_layer (__main__.ExportTests) ... inline_call []
2023-01-11T21:06:24.7980782Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:06:24.7981016Z ok (0.027s)
2023-01-11T21:06:24.7981449Z   test_export_with_stack_trace (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2023-01-11T21:06:24.7981716Z ok (0.094s)
2023-01-11T21:06:24.7982018Z   test_func_return (__main__.ExportTests) ... inline_call []
2023-01-11T21:06:24.7982458Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:24.7982712Z ok (0.016s)
2023-01-11T21:06:24.7983007Z   test_func_return_with_aten_graph (__main__.ExportTests) ... inline_call []
2023-01-11T21:06:24.7983420Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2023-01-11T21:06:24.7983832Z ok (0.047s)
2023-01-11T21:06:24.7984267Z   test_input_container_type (__main__.ExportTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2023-01-11T21:06:24.7984562Z ok (0.066s)
2023-01-11T21:06:24.7985121Z   test_list_unpack (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7985417Z ok (0.014s)
2023-01-11T21:06:24.7985908Z   test_list_unpack_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:06:24.7986306Z ok (0.026s)
2023-01-11T21:06:24.7987025Z   test_zeroes_in_and_out_different_shape_on_test (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:24.7987477Z ok (0.014s)
2023-01-11T21:06:24.7988317Z   test_zeroes_in_and_out_different_shape_on_test_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2023-01-11T21:06:24.7988844Z ok (0.039s)
2023-01-11T21:06:24.7989459Z   test_zeroes_in_new_shape_scalar_out (__main__.ExportTests) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)]
2023-01-11T21:06:24.7989887Z ok (0.024s)
2023-01-11T21:06:24.7990602Z   test_zeroes_in_new_shape_scalar_out_permute (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2023-01-11T21:06:24.7991007Z ok (0.027s)
2023-01-11T21:06:24.7991776Z   test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2023-01-11T21:06:24.7992282Z ok (0.028s)
2023-01-11T21:06:24.7992493Z 
2023-01-11T21:06:24.7992810Z ----------------------------------------------------------------------
2023-01-11T21:06:24.7993326Z Ran 60 tests in 2.430s
2023-01-11T21:06:24.7993539Z 
2023-01-11T21:06:24.7993684Z OK
2023-01-11T21:06:24.7993780Z 
2023-01-11T21:06:24.7993883Z Generating XML reports...
2023-01-11T21:06:24.7994654Z Generated XML report: test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20230111210622.xml
2023-01-11T21:06:24.7994895Z 
2023-01-11T21:06:24.7996893Z ##[endgroup]
2023-01-11T21:06:24.7997318Z FINISHED PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_1oth79zh)
2023-01-11T21:06:24.7997539Z 
2023-01-11T21:06:26.7350021Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:26.8731210Z Ignoring disabled issues:  []
2023-01-11T21:06:26.8881225Z Running test_scatter_gather_ops ... [2023-01-11 21:06:26.887777]
2023-01-11T21:06:26.8882149Z Executing ['/opt/conda/bin/python', '-bb', 'test_scatter_gather_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:26.888031]
2023-01-11T21:06:30.3586281Z 
2023-01-11T21:06:30.3586814Z Expand the folded group to see the log file of test_scatter_gather_ops
2023-01-11T21:06:30.3587901Z ##[group]PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_fjj0lxts)
2023-01-11T21:06:30.3588811Z Test results will be stored in test-reports/python-unittest/test_scatter_gather_ops
2023-01-11T21:06:30.3589173Z 
2023-01-11T21:06:30.3589304Z Running tests...
2023-01-11T21:06:30.3589847Z ----------------------------------------------------------------------
2023-01-11T21:06:30.3590524Z   test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.003s)
2023-01-11T21:06:30.3591087Z   test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.001s)
2023-01-11T21:06:30.3591487Z   test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.001s)
2023-01-11T21:06:30.3591871Z   test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.001s)
2023-01-11T21:06:30.3592408Z   test_gather_bool_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.001s)
2023-01-11T21:06:30.3592719Z   test_gather_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.010s)
2023-01-11T21:06:30.3593133Z   test_gather_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.009s)
2023-01-11T21:06:30.3593449Z   test_scatter__cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.013s)
2023-01-11T21:06:30.3593756Z   test_scatter__cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.012s)
2023-01-11T21:06:30.3594057Z   test_scatter__cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.012s)
2023-01-11T21:06:30.3594359Z   test_scatter__reductions_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.140s)
2023-01-11T21:06:30.3594694Z   test_scatter__reductions_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.142s)
2023-01-11T21:06:30.3595021Z   test_scatter__reductions_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.161s)
2023-01-11T21:06:30.3595335Z   test_scatter__scalar_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.012s)
2023-01-11T21:06:30.3595654Z   test_scatter__scalar_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.012s)
2023-01-11T21:06:30.3595968Z   test_scatter__scalar_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.012s)
2023-01-11T21:06:30.3596285Z   test_scatter_add__cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.015s)
2023-01-11T21:06:30.3596582Z   test_scatter_add__cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.015s)
2023-01-11T21:06:30.3596887Z   test_scatter_add__cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.015s)
2023-01-11T21:06:30.3597211Z   test_scatter_add_mult_index_base_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.002s)
2023-01-11T21:06:30.3597773Z   test_scatter_reduce_amax_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... test_scatter_gather_ops.py:107: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1739.)
2023-01-11T21:06:30.3598293Z   actual = fn(base.clone(), dim, idx, src, reduce=reduction, include_self=include_self)
2023-01-11T21:06:30.3598532Z ok (0.023s)
2023-01-11T21:06:30.3598779Z   test_scatter_reduce_amax_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3599099Z   test_scatter_reduce_amax_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3599408Z   test_scatter_reduce_amax_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3599726Z   test_scatter_reduce_amax_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3600046Z   test_scatter_reduce_amax_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3600350Z   test_scatter_reduce_amax_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3600666Z   test_scatter_reduce_amax_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3600984Z   test_scatter_reduce_amax_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3601302Z   test_scatter_reduce_amax_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3601611Z   test_scatter_reduce_amin_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3601927Z   test_scatter_reduce_amin_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3602245Z   test_scatter_reduce_amin_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3602550Z   test_scatter_reduce_amin_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3602866Z   test_scatter_reduce_amin_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3603185Z   test_scatter_reduce_amin_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3603676Z   test_scatter_reduce_amin_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3604050Z   test_scatter_reduce_amin_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3604393Z   test_scatter_reduce_amin_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3604761Z   test_scatter_reduce_amin_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3605083Z   test_scatter_reduce_mean_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3605396Z   test_scatter_reduce_mean_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3605730Z   test_scatter_reduce_mean_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3606056Z   test_scatter_reduce_mean_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3606377Z   test_scatter_reduce_mean_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3606684Z   test_scatter_reduce_mean_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3607103Z   test_scatter_reduce_mean_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3607460Z   test_scatter_reduce_mean_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3607762Z   test_scatter_reduce_mean_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3608074Z   test_scatter_reduce_mean_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3608390Z   test_scatter_reduce_mean_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3608711Z   test_scatter_reduce_prod_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3609020Z   test_scatter_reduce_prod_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3609342Z   test_scatter_reduce_prod_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3609675Z   test_scatter_reduce_prod_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3609993Z   test_scatter_reduce_prod_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3610312Z   test_scatter_reduce_prod_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3610631Z   test_scatter_reduce_prod_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3610949Z   test_scatter_reduce_prod_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3611252Z   test_scatter_reduce_prod_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3611566Z   test_scatter_reduce_prod_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3611881Z   test_scatter_reduce_prod_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3612182Z   test_scatter_reduce_prod_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3612498Z   test_scatter_reduce_sum_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3612827Z   test_scatter_reduce_sum_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3613153Z   test_scatter_reduce_sum_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.022s)
2023-01-11T21:06:30.3613461Z   test_scatter_reduce_sum_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.023s)
2023-01-11T21:06:30.3613779Z   test_scatter_reduce_sum_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3614091Z   test_scatter_reduce_sum_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3614386Z   test_scatter_reduce_sum_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.021s)
2023-01-11T21:06:30.3614701Z   test_scatter_reduce_sum_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3615011Z   test_scatter_reduce_sum_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3615322Z   test_scatter_reduce_sum_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3615678Z   test_scatter_reduce_sum_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.020s)
2023-01-11T21:06:30.3615855Z 
2023-01-11T21:06:30.3616141Z ----------------------------------------------------------------------
2023-01-11T21:06:30.3616390Z Ran 74 tests in 1.723s
2023-01-11T21:06:30.3616507Z 
2023-01-11T21:06:30.3616554Z OK
2023-01-11T21:06:30.3616647Z 
2023-01-11T21:06:30.3616732Z Generating XML reports...
2023-01-11T21:06:30.3617183Z Generated XML report: test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCPU-20230111210628.xml
2023-01-11T21:06:30.3617435Z 
2023-01-11T21:06:30.3617703Z ##[endgroup]
2023-01-11T21:06:30.3618111Z FINISHED PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_fjj0lxts)
2023-01-11T21:06:30.3618342Z 
2023-01-11T21:06:32.2110831Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:32.3495416Z Ignoring disabled issues:  []
2023-01-11T21:06:32.3654956Z Running test_python_dispatch ... [2023-01-11 21:06:32.365020]
2023-01-11T21:06:32.3655488Z Executing ['/opt/conda/bin/python', '-bb', 'test_python_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:32.365272]
2023-01-11T21:06:34.2536614Z 
2023-01-11T21:06:34.2537069Z Expand the folded group to see the log file of test_python_dispatch
2023-01-11T21:06:34.2538059Z ##[group]PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_2y5uleo7)
2023-01-11T21:06:34.2538943Z Test results will be stored in test-reports/python-unittest/test_python_dispatch
2023-01-11T21:06:34.2539233Z 
2023-01-11T21:06:34.2539469Z Running tests...
2023-01-11T21:06:34.2539984Z ----------------------------------------------------------------------
2023-01-11T21:06:34.2540519Z   test_all_same_mode (__main__.TestPythonDispatch) ... ok (0.252s)
2023-01-11T21:06:34.2541043Z   test_autograd_in_attr (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2541557Z   test_basic (__main__.TestPythonDispatch) ... ok (0.006s)
2023-01-11T21:06:34.2542112Z   test_capture_logs_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2542695Z   test_construct_int_tensor (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2543234Z   test_custom_autograd (__main__.TestPythonDispatch) ... ok (0.005s)
2023-01-11T21:06:34.2543769Z   test_deepcopy_non_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2544345Z   test_deepcopy_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2544998Z   test_deepcopy_wrapper_subclass_with_clone_returning_different_type (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2545647Z   test_detach_appears_twice_when_called_once (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2546100Z   test_device_slowpath (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2546386Z   test_dim_slowpath (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2546675Z   test_dispatch_super_call (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2546970Z   test_dispatch_super_call_list_arg (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2547336Z   test_dispatch_super_dont_autograd (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2547715Z   test_error_using_class_method_on_mode (__main__.TestPythonDispatch) ... ok (0.005s)
2023-01-11T21:06:34.2548042Z   test_exception_handling (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2548499Z   test_fancy_strides (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2548793Z   test_format (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2558602Z   test_get_cur_mode (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2559001Z   test_get_mode_stack (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2559503Z   test_index_put_where_only_index_is_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2559970Z   test_invalid_ret (__main__.TestPythonDispatch) ... test_python_dispatch.py:448: DeprecationWarning: Please use assertRaisesRegex instead.
2023-01-11T21:06:34.2560344Z   RuntimeError, "Unable to cast", lambda: A(torch.zeros(1)).detach(),
2023-01-11T21:06:34.2560558Z ok (0.001s)
2023-01-11T21:06:34.2560798Z   test_is_contiguous_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2561092Z   test_kwarg_only (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2561384Z   test_kwarg_only_and_positional_default (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2561689Z   test_layout_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2561963Z   test_like (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2562214Z   test_list_ret (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2562502Z   test_make_subclass_with_modes (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2562811Z   test_make_wrapper_subclass_noalloc (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2563146Z   test_make_wrapper_subclass_propagates_metadata (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2563663Z   test_maybe_tuple_bug (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2563950Z   test_mode_with_make_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2564270Z   test_multiple_ops_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2564580Z   test_nested_push_logging_tensor_mode (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2564870Z   test_nesting_same_mode (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2565140Z   test_new_ones (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2565412Z   test_none_wrapping (__main__.TestPythonDispatch) ... ok (0.009s)
2023-01-11T21:06:34.2565691Z   test_notimplemented_mode (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2565972Z   test_optional_tensor_list (__main__.TestPythonDispatch) ... woof
2023-01-11T21:06:34.2566181Z ok (0.002s)
2023-01-11T21:06:34.2566384Z   test_out (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2566645Z   test_produce_real_type (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2566927Z   test_set_data (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2567214Z   test_shallow_copy_and_detach (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2567494Z   test_sizes_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2567784Z   test_standard_is_not_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2568382Z   test_storage (__main__.TestPythonDispatch) ... test_python_dispatch.py:469: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:06:34.2568946Z   self.assertRaises(RuntimeError, lambda: x.storage())
2023-01-11T21:06:34.2569147Z ok (0.001s)
2023-01-11T21:06:34.2569713Z   test_storage_can_be_converted_to_python_object (__main__.TestPythonDispatch) ... test_python_dispatch.py:1197: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:06:34.2570246Z   s = torch.Storage()
2023-01-11T21:06:34.2570417Z ok (0.001s)
2023-01-11T21:06:34.2570636Z   test_strides_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2570945Z   test_subclass_autograd_device_check (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2571311Z   test_subclass_creation (__main__.TestPythonDispatch) ... ok (0.005s)
2023-01-11T21:06:34.2571588Z   test_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2571942Z   test_tolist_numpy_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2572264Z   test_torch_dispatch_mode_basic (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2572593Z   test_torch_dispatch_mode_respects_no_dispatch (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2572919Z   test_torch_dispatch_mode_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s)
2023-01-11T21:06:34.2573252Z   test_torch_dispatch_mode_unrelated_tensors (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2573550Z   test_version (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2573829Z   test_with_mode_created_separately (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2574134Z   test_with_nested_modes (__main__.TestPythonDispatch) ... ok (0.001s)
2023-01-11T21:06:34.2574436Z   test_wrapper_subclass_serializes (__main__.TestPythonDispatch) ... ok (0.003s)
2023-01-11T21:06:34.2574729Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T21:06:34.2574984Z   test_lstsq (__main__.TestPythonDispatcher) ... ok (0.005s)
2023-01-11T21:06:34.2575266Z   test_alias_analysis (__main__.TestPythonRegistration) ... ok (0.006s)
2023-01-11T21:06:34.2575569Z   test_create_new_library (__main__.TestPythonRegistration) ... ok (0.002s)
2023-01-11T21:06:34.2575876Z   test_error_for_unsupported_ns_or_kind (__main__.TestPythonRegistration) ... ok (0.001s)
2023-01-11T21:06:34.2576200Z   test_error_if_fn_not_callable (__main__.TestPythonRegistration) ... ok (0.001s)
2023-01-11T21:06:34.2576530Z   test_extend_library_with_dispatch_key_arg (__main__.TestPythonRegistration) ... ok (0.002s)
2023-01-11T21:06:34.2577269Z   test_override_aten_ops_with_multiple_libraries (__main__.TestPythonRegistration) ... /opt/conda/lib/python3.7/site-packages/torch/library.py:126: UserWarning: Overriding a previously registered kernel for the same operator and the same dispatch key
2023-01-11T21:06:34.2577799Z   operator: aten::mul.Tensor(Tensor self, Tensor other) -> Tensor
2023-01-11T21:06:34.2578110Z     registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2023-01-11T21:06:34.2578375Z   dispatch key: ZeroTensor
2023-01-11T21:06:34.2578691Z   previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1070
2023-01-11T21:06:34.2579119Z        new kernel: registered at /dev/null:628 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:159.)
2023-01-11T21:06:34.2579526Z   self.m.impl(name, dispatch_key if dispatch_key != "" else "CompositeImplicitAutograd", fn)
2023-01-11T21:06:34.2579783Z ok (0.004s)
2023-01-11T21:06:34.2580005Z   test_override_cpu_sum (__main__.TestPythonRegistration) ... ok (0.001s)
2023-01-11T21:06:34.2580328Z   test_override_cuda_with_jiterator (__main__.TestPythonRegistration) ... ok (0.003s)
2023-01-11T21:06:34.2580511Z 
2023-01-11T21:06:34.2580710Z ----------------------------------------------------------------------
2023-01-11T21:06:34.2580952Z Ran 72 tests in 0.394s
2023-01-11T21:06:34.2581052Z 
2023-01-11T21:06:34.2581113Z OK
2023-01-11T21:06:34.2581204Z 
2023-01-11T21:06:34.2581288Z Generating XML reports...
2023-01-11T21:06:34.2581715Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatch-20230111210633.xml
2023-01-11T21:06:34.2582252Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatcher-20230111210633.xml
2023-01-11T21:06:34.2582801Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonRegistration-20230111210633.xml
2023-01-11T21:06:34.2583053Z 
2023-01-11T21:06:34.2583319Z ##[endgroup]
2023-01-11T21:06:34.2583760Z FINISHED PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_2y5uleo7)
2023-01-11T21:06:34.2583986Z 
2023-01-11T21:06:36.0863338Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:36.2271887Z Ignoring disabled issues:  []
2023-01-11T21:06:36.2426347Z Running profiler/test_profiler_tree ... [2023-01-11 21:06:36.242317]
2023-01-11T21:06:36.2427730Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:36.242556]
2023-01-11T21:06:38.0886950Z 
2023-01-11T21:06:38.0887469Z Expand the folded group to see the log file of profiler/test_profiler_tree
2023-01-11T21:06:38.0888599Z ##[group]PRINTING LOG FILE of profiler/test_profiler_tree (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_tree_urt171bc)
2023-01-11T21:06:38.0889564Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler_tree
2023-01-11T21:06:38.0889946Z 
2023-01-11T21:06:38.0890039Z Running tests...
2023-01-11T21:06:38.0890408Z ----------------------------------------------------------------------
2023-01-11T21:06:38.0891371Z   test_profiler_experimental_tree (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82499 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.245s)
2023-01-11T21:06:38.0892093Z   test_profiler_experimental_tree_cuda (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s)
2023-01-11T21:06:38.0892535Z   test_profiler_experimental_tree_cuda_detailed (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s)
2023-01-11T21:06:38.0893024Z   test_profiler_experimental_tree_cuda_with_stream (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s)
2023-01-11T21:06:38.0894017Z   test_profiler_experimental_tree_with_memory (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82501 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:06:38.0894930Z   test_profiler_experimental_tree_with_memory_and_stack (__main__.TestProfilerTree) ... STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0895482Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0895978Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0896397Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0896877Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0897370Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0897802Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0898281Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0898733Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0899018Z ok (0.015s)
2023-01-11T21:06:38.0899882Z   test_profiler_experimental_tree_with_record_function (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83246 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:06:38.0901036Z   test_profiler_experimental_tree_with_stack_and_modules (__main__.TestProfilerTree) ... STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0901562Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0902055Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0902482Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0902961Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0903432Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0903868Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0904350Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0904788Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0905072Z ok (0.015s)
2023-01-11T21:06:38.0905590Z   test_profiler_experimental_tree_with_stack_and_torch_dispatch (__main__.TestProfilerTree) ... STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0906115Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0906587Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0907014Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0907490Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0907978Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0908394Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0908867Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0909299Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0909590Z ok (0.006s)
2023-01-11T21:06:38.0910090Z   test_profiler_experimental_tree_with_stack_and_torch_function (__main__.TestProfilerTree) ... STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0910632Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0911124Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0911541Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0912019Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0912504Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0912932Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:06:38.0913467Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:06:38.0913953Z STAGE:2023-01-11 21:06:37 4348:4348 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:06:38.0914215Z ok (0.005s)
2023-01-11T21:06:38.0914369Z 
2023-01-11T21:06:38.0914557Z ----------------------------------------------------------------------
2023-01-11T21:06:38.0914849Z Ran 10 tests in 0.292s
2023-01-11T21:06:38.0914964Z 
2023-01-11T21:06:38.0915036Z OK (skipped=6)
2023-01-11T21:06:38.0915181Z 
2023-01-11T21:06:38.0915265Z Generating XML reports...
2023-01-11T21:06:38.0915743Z Generated XML report: test-reports/python-unittest/profiler.test_profiler_tree/TEST-TestProfilerTree-20230111210637.xml
2023-01-11T21:06:38.0915989Z 
2023-01-11T21:06:38.0916288Z ##[endgroup]
2023-01-11T21:06:38.0916715Z FINISHED PRINTING LOG FILE of profiler/test_profiler_tree (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_tree_urt171bc)
2023-01-11T21:06:38.0916978Z 
2023-01-11T21:06:39.9092243Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:40.0484591Z Ignoring disabled issues:  []
2023-01-11T21:06:40.0634440Z Running dynamo/test_torchxla_integration ... [2023-01-11 21:06:40.063133]
2023-01-11T21:06:40.0636379Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_torchxla_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:40.063436]
2023-01-11T21:06:41.6129856Z 
2023-01-11T21:06:41.6130582Z Expand the folded group to see the log file of dynamo/test_torchxla_integration
2023-01-11T21:06:41.6131749Z ##[group]PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_khuyx20i)
2023-01-11T21:06:41.6132771Z Test results will be stored in test-reports/python-unittest/dynamo.test_torchxla_integration
2023-01-11T21:06:41.6133092Z 
2023-01-11T21:06:41.6133207Z Running tests...
2023-01-11T21:06:41.6133697Z ----------------------------------------------------------------------
2023-01-11T21:06:41.6134407Z   test_basic (__main__.TorchXLAReuseGraphTest) ... skip: Skip the tests since torch_xla is not available or XLA devices are not specified (0.001s)
2023-01-11T21:06:41.6135289Z   test_inplace_update (__main__.TorchXLAReuseGraphTest) ... skip: Skip the tests since torch_xla is not available or XLA devices are not specified (0.001s)
2023-01-11T21:06:41.6136215Z   test_linear (__main__.TorchXLAReuseGraphTest) ... skip: Skip the tests since torch_xla is not available or XLA devices are not specified (0.001s)
2023-01-11T21:06:41.6137082Z   test_matmul (__main__.TorchXLAReuseGraphTest) ... skip: Skip the tests since torch_xla is not available or XLA devices are not specified (0.001s)
2023-01-11T21:06:41.6137537Z 
2023-01-11T21:06:41.6137919Z ----------------------------------------------------------------------
2023-01-11T21:06:41.6138374Z Ran 4 tests in 0.003s
2023-01-11T21:06:41.6138585Z 
2023-01-11T21:06:41.6138722Z OK (skipped=4)
2023-01-11T21:06:41.6138906Z 
2023-01-11T21:06:41.6139066Z Generating XML reports...
2023-01-11T21:06:41.6139969Z Generated XML report: test-reports/python-unittest/dynamo.test_torchxla_integration/TEST-TorchXLAReuseGraphTest-20230111210641.xml
2023-01-11T21:06:41.6140491Z 
2023-01-11T21:06:41.6140974Z ##[endgroup]
2023-01-11T21:06:41.6141804Z FINISHED PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_khuyx20i)
2023-01-11T21:06:41.6142300Z 
2023-01-11T21:06:43.0521763Z 
2023-01-11T21:06:43.0522375Z Expand the folded group to see the log file of test_sparse
2023-01-11T21:06:43.0523241Z ##[group]PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_byfi80o_)
2023-01-11T21:06:43.0525980Z Test results will be stored in test-reports/python-unittest/test_sparse
2023-01-11T21:06:43.0526568Z 
2023-01-11T21:06:43.0527183Z Running tests...
2023-01-11T21:06:43.0527819Z ----------------------------------------------------------------------
2023-01-11T21:06:43.0529269Z   test_generate_simple_inputs_cpu (__main__.TestSparseAnyCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:2535: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T21:06:43.0530682Z   yield torch.sparse_compressed_tensor(*args, **kwargs)
2023-01-11T21:06:43.0531080Z ok (0.284s)
2023-01-11T21:06:43.0531529Z   test_to_dense_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0532062Z This test tests conversion from any layout to any sparse layout. ... ok (0.160s)
2023-01-11T21:06:43.0532542Z   test_to_dense_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0533088Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0533549Z   test_to_dense_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0534038Z This test tests conversion from any layout to any sparse layout. ... ok (0.166s)
2023-01-11T21:06:43.0534542Z   test_to_dense_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0535061Z This test tests conversion from any layout to any sparse layout. ... ok (0.162s)
2023-01-11T21:06:43.0535602Z   test_to_dense_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0535905Z This test tests conversion from any layout to any sparse layout. ... ok (0.161s)
2023-01-11T21:06:43.0536203Z   test_to_dense_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0536486Z This test tests conversion from any layout to any sparse layout. ... ok (0.160s)
2023-01-11T21:06:43.0536786Z   test_to_dense_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0537084Z This test tests conversion from any layout to any sparse layout. ... ok (0.160s)
2023-01-11T21:06:43.0537418Z   test_to_dense_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0537832Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0538218Z   test_to_dense_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0538589Z This test tests conversion from any layout to any sparse layout. ... ok (0.159s)
2023-01-11T21:06:43.0539008Z   test_to_dense_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0539357Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0539738Z   test_to_dense_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0540323Z This test tests conversion from any layout to any sparse layout. ... ok (0.159s)
2023-01-11T21:06:43.0540754Z   test_to_dense_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0541143Z This test tests conversion from any layout to any sparse layout. ... ok (0.166s)
2023-01-11T21:06:43.0541553Z   test_to_dense_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0541972Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0542348Z   test_to_dense_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0542789Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0543269Z   test_to_dense_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0543724Z This test tests conversion from any layout to any sparse layout. ... ok (0.161s)
2023-01-11T21:06:43.0544179Z   test_to_dense_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0544647Z This test tests conversion from any layout to any sparse layout. ... ok (0.163s)
2023-01-11T21:06:43.0545074Z   test_to_dense_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0545523Z This test tests conversion from any layout to any sparse layout. ... ok (0.160s)
2023-01-11T21:06:43.0545964Z   test_to_dense_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0546389Z This test tests conversion from any layout to any sparse layout. ... ok (0.160s)
2023-01-11T21:06:43.0546933Z   test_to_dense_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0547369Z This test tests conversion from any layout to any sparse layout. ... ok (0.159s)
2023-01-11T21:06:43.0547849Z   test_to_dense_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0548309Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0548695Z   test_to_dense_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0549119Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0549560Z   test_to_dense_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0550016Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0550391Z   test_to_dense_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0550826Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0551262Z   test_to_dense_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0551659Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0552069Z   test_to_dense_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0552483Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0552903Z   test_to_dense_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0553371Z This test tests conversion from any layout to any sparse layout. ... ok (0.156s)
2023-01-11T21:06:43.0553802Z   test_to_dense_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0554201Z This test tests conversion from any layout to any sparse layout. ... ok (0.159s)
2023-01-11T21:06:43.0554629Z   test_to_dense_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0555065Z This test tests conversion from any layout to any sparse layout. ... ok (0.161s)
2023-01-11T21:06:43.0555509Z   test_to_dense_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0555991Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0556447Z   test_to_dense_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0556890Z This test tests conversion from any layout to any sparse layout. ... ok (0.172s)
2023-01-11T21:06:43.0557358Z   test_to_dense_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0557827Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0558276Z   test_to_dense_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0558717Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0559164Z   test_to_dense_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0559641Z This test tests conversion from any layout to any sparse layout. ... ok (0.156s)
2023-01-11T21:06:43.0560069Z   test_to_dense_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0560518Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0560972Z   test_to_dense_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0561421Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0561860Z   test_to_dense_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0562315Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0562756Z   test_to_dense_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0563191Z This test tests conversion from any layout to any sparse layout. ... ok (0.157s)
2023-01-11T21:06:43.0563903Z   test_to_dense_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0564519Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0565013Z   test_to_dense_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0565534Z This test tests conversion from any layout to any sparse layout. ... ok (0.158s)
2023-01-11T21:06:43.0565966Z   test_to_dense_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0566425Z This test tests conversion from any layout to any sparse layout. ... ok (0.159s)
2023-01-11T21:06:43.0566868Z   test_to_dense_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0567335Z This test tests conversion from any layout to any sparse layout. ... ok (0.156s)
2023-01-11T21:06:43.0567803Z   test_to_dense_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0568289Z This test tests conversion from any layout to any sparse layout. ... ok (0.156s)
2023-01-11T21:06:43.0568761Z   test_to_dense_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0569236Z This test tests conversion from any layout to any sparse layout. ... ok (0.156s)
2023-01-11T21:06:43.0569679Z   test_to_dense_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0570139Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0570624Z   test_to_dense_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0571141Z This test tests conversion from any layout to any sparse layout. ... ok (0.154s)
2023-01-11T21:06:43.0571677Z   test_to_dense_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0572170Z This test tests conversion from any layout to any sparse layout. ... ok (0.153s)
2023-01-11T21:06:43.0572590Z   test_to_dense_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0573037Z This test tests conversion from any layout to any sparse layout. ... ok (0.162s)
2023-01-11T21:06:43.0573471Z   test_to_dense_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0573951Z This test tests conversion from any layout to any sparse layout. ... ok (0.155s)
2023-01-11T21:06:43.0574421Z   test_to_dense_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0574917Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0575343Z   test_to_dense_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0575794Z This test tests conversion from any layout to any sparse layout. ... ok (0.031s)
2023-01-11T21:06:43.0576269Z   test_to_dense_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0576713Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0577154Z   test_to_dense_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0577611Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0578000Z   test_to_dense_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0578446Z This test tests conversion from any layout to any sparse layout. ... ok (0.035s)
2023-01-11T21:06:43.0578916Z   test_to_dense_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0579391Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0579857Z   test_to_dense_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0580350Z This test tests conversion from any layout to any sparse layout. ... ok (0.035s)
2023-01-11T21:06:43.0580807Z   test_to_dense_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0581276Z This test tests conversion from any layout to any sparse layout. ... ok (0.032s)
2023-01-11T21:06:43.0581718Z   test_to_dense_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0582207Z This test tests conversion from any layout to any sparse layout. ... ok (0.032s)
2023-01-11T21:06:43.0582744Z   test_to_dense_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0583346Z This test tests conversion from any layout to any sparse layout. ... ok (0.031s)
2023-01-11T21:06:43.0583860Z   test_to_dense_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0584309Z This test tests conversion from any layout to any sparse layout. ... ok (0.032s)
2023-01-11T21:06:43.0584754Z   test_to_dense_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0585221Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0585669Z   test_to_dense_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0586112Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0586586Z   test_to_dense_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0587056Z This test tests conversion from any layout to any sparse layout. ... ok (0.032s)
2023-01-11T21:06:43.0587479Z   test_to_dense_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0587934Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0588386Z   test_to_dense_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0588823Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0589210Z   test_to_dense_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0589532Z This test tests conversion from any layout to any sparse layout. ... ok (0.035s)
2023-01-11T21:06:43.0589836Z   test_to_dense_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0590135Z This test tests conversion from any layout to any sparse layout. ... ok (0.035s)
2023-01-11T21:06:43.0590421Z   test_to_dense_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0590725Z This test tests conversion from any layout to any sparse layout. ... ok (0.034s)
2023-01-11T21:06:43.0591024Z   test_to_dense_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0591333Z This test tests conversion from any layout to any sparse layout. ... ok (0.031s)
2023-01-11T21:06:43.0591608Z   test_to_dense_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0591897Z This test tests conversion from any layout to any sparse layout. ... ok (0.031s)
2023-01-11T21:06:43.0592248Z   test_to_dense_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0592690Z This test tests conversion from any layout to any sparse layout. ... ok (0.030s)
2023-01-11T21:06:43.0593222Z   test_to_dense_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0593711Z This test tests conversion from any layout to any sparse layout. ... ok (0.031s)
2023-01-11T21:06:43.0594135Z   test_to_dense_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0594424Z This test tests conversion from any layout to any sparse layout. ... ok (0.031s)
2023-01-11T21:06:43.0594723Z   test_to_dense_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0595025Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0595302Z   test_to_dense_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0595601Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0595906Z   test_to_dense_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0596207Z This test tests conversion from any layout to any sparse layout. ... ok (0.142s)
2023-01-11T21:06:43.0596492Z   test_to_dense_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0596789Z This test tests conversion from any layout to any sparse layout. ... ok (0.143s)
2023-01-11T21:06:43.0597085Z   test_to_dense_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0597461Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0597797Z   test_to_dense_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0598102Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0598397Z   test_to_dense_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0598678Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0598970Z   test_to_dense_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0599266Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0599545Z   test_to_dense_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0599838Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0600134Z   test_to_dense_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0600418Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0600712Z   test_to_dense_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0601008Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0601300Z   test_to_dense_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0601583Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0601876Z   test_to_dense_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0602175Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0602454Z   test_to_dense_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0602754Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0603055Z   test_to_dense_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0603771Z This test tests conversion from any layout to any sparse layout. ... ok (0.141s)
2023-01-11T21:06:43.0604068Z   test_to_dense_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0604371Z This test tests conversion from any layout to any sparse layout. ... ok (0.142s)
2023-01-11T21:06:43.0604674Z   test_to_dense_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0604960Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0605255Z   test_to_dense_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0605558Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0605851Z   test_to_dense_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0606134Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0606432Z   test_to_dense_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0606726Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0607006Z   test_to_dense_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0607302Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0607592Z   test_to_dense_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0607887Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0608168Z   test_to_dense_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0608465Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0608758Z   test_to_dense_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0609042Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0609411Z   test_to_dense_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0609754Z This test tests conversion from any layout to any sparse layout. ... ok (0.139s)
2023-01-11T21:06:43.0610033Z   test_to_dense_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0610332Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0610631Z   test_to_dense_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0610932Z This test tests conversion from any layout to any sparse layout. ... ok (0.142s)
2023-01-11T21:06:43.0611218Z   test_to_dense_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0611521Z This test tests conversion from any layout to any sparse layout. ... ok (0.143s)
2023-01-11T21:06:43.0611814Z   test_to_dense_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0612102Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0612398Z   test_to_dense_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0612697Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0612990Z   test_to_dense_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0613271Z This test tests conversion from any layout to any sparse layout. ... ok (0.140s)
2023-01-11T21:06:43.0613564Z   test_to_dense_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0613859Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0614138Z   test_to_dense_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0614433Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0614722Z   test_to_dense_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0615021Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0615301Z   test_to_dense_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0615601Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0615898Z   test_to_dense_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0616188Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0616485Z   test_to_dense_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0616783Z This test tests conversion from any layout to any sparse layout. ... ok (0.139s)
2023-01-11T21:06:43.0617077Z   test_to_dense_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0617357Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0617655Z   test_to_dense_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0617957Z This test tests conversion from any layout to any sparse layout. ... ok (0.141s)
2023-01-11T21:06:43.0618244Z   test_to_dense_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0618545Z This test tests conversion from any layout to any sparse layout. ... ok (0.142s)
2023-01-11T21:06:43.0618839Z   test_to_dense_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0619137Z This test tests conversion from any layout to any sparse layout. ... ok (0.139s)
2023-01-11T21:06:43.0619417Z   test_to_dense_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0619714Z This test tests conversion from any layout to any sparse layout. ... ok (0.139s)
2023-01-11T21:06:43.0620009Z   test_to_dense_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0620290Z This test tests conversion from any layout to any sparse layout. ... ok (0.139s)
2023-01-11T21:06:43.0620627Z   test_to_dense_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0620922Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0621250Z   test_to_dense_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0621547Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0621841Z   test_to_dense_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0622137Z This test tests conversion from any layout to any sparse layout. ... ok (0.136s)
2023-01-11T21:06:43.0622417Z   test_to_dense_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0622709Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0623002Z   test_to_dense_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0623284Z This test tests conversion from any layout to any sparse layout. ... ok (0.137s)
2023-01-11T21:06:43.0623597Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0623915Z This test tests conversion from any layout to any sparse layout. ... ok (0.206s)
2023-01-11T21:06:43.0624227Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0624521Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0624835Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0625153Z This test tests conversion from any layout to any sparse layout. ... ok (0.209s)
2023-01-11T21:06:43.0625455Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0625772Z This test tests conversion from any layout to any sparse layout. ... ok (0.210s)
2023-01-11T21:06:43.0626084Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0626407Z This test tests conversion from any layout to any sparse layout. ... ok (0.210s)
2023-01-11T21:06:43.0626706Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0627025Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0627335Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0627639Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0627943Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0628247Z This test tests conversion from any layout to any sparse layout. ... ok (0.195s)
2023-01-11T21:06:43.0628551Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0628841Z This test tests conversion from any layout to any sparse layout. ... ok (0.202s)
2023-01-11T21:06:43.0629147Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0629454Z This test tests conversion from any layout to any sparse layout. ... ok (0.207s)
2023-01-11T21:06:43.0629748Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0630054Z This test tests conversion from any layout to any sparse layout. ... ok (0.207s)
2023-01-11T21:06:43.0630354Z   test_to_sparse_SparseBSC_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0630656Z This test tests conversion from any layout to any sparse layout. ... ok (0.202s)
2023-01-11T21:06:43.0630956Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0631266Z This test tests conversion from any layout to any sparse layout. ... ok (0.194s)
2023-01-11T21:06:43.0631570Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0631862Z This test tests conversion from any layout to any sparse layout. ... ok (0.195s)
2023-01-11T21:06:43.0632216Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0632531Z This test tests conversion from any layout to any sparse layout. ... ok (0.203s)
2023-01-11T21:06:43.0632875Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0633259Z This test tests conversion from any layout to any sparse layout. ... ok (0.213s)
2023-01-11T21:06:43.0633571Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0633882Z This test tests conversion from any layout to any sparse layout. ... ok (0.192s)
2023-01-11T21:06:43.0634179Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0634495Z This test tests conversion from any layout to any sparse layout. ... ok (0.193s)
2023-01-11T21:06:43.0634805Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0635120Z This test tests conversion from any layout to any sparse layout. ... ok (0.188s)
2023-01-11T21:06:43.0635411Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0635716Z This test tests conversion from any layout to any sparse layout. ... ok (0.189s)
2023-01-11T21:06:43.0636019Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0636309Z This test tests conversion from any layout to any sparse layout. ... ok (0.184s)
2023-01-11T21:06:43.0636608Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0636906Z This test tests conversion from any layout to any sparse layout. ... ok (0.194s)
2023-01-11T21:06:43.0637217Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0637507Z This test tests conversion from any layout to any sparse layout. ... ok (0.186s)
2023-01-11T21:06:43.0637809Z   test_to_sparse_SparseBSC_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0638109Z This test tests conversion from any layout to any sparse layout. ... ok (0.189s)
2023-01-11T21:06:43.0638407Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0638718Z This test tests conversion from any layout to any sparse layout. ... ok (0.197s)
2023-01-11T21:06:43.0639026Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0639337Z This test tests conversion from any layout to any sparse layout. ... ok (0.193s)
2023-01-11T21:06:43.0639636Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0639950Z This test tests conversion from any layout to any sparse layout. ... ok (0.210s)
2023-01-11T21:06:43.0640259Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0640558Z This test tests conversion from any layout to any sparse layout. ... ok (0.208s)
2023-01-11T21:06:43.0640867Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0641178Z This test tests conversion from any layout to any sparse layout. ... ok (0.203s)
2023-01-11T21:06:43.0641487Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0641784Z This test tests conversion from any layout to any sparse layout. ... ok (0.198s)
2023-01-11T21:06:43.0642097Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0642407Z This test tests conversion from any layout to any sparse layout. ... ok (0.193s)
2023-01-11T21:06:43.0642700Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0642995Z This test tests conversion from any layout to any sparse layout. ... ok (0.192s)
2023-01-11T21:06:43.0643294Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0643868Z This test tests conversion from any layout to any sparse layout. ... ok (0.194s)
2023-01-11T21:06:43.0644160Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0644517Z This test tests conversion from any layout to any sparse layout. ... ok (0.193s)
2023-01-11T21:06:43.0644825Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0645120Z This test tests conversion from any layout to any sparse layout. ... ok (0.192s)
2023-01-11T21:06:43.0645424Z   test_to_sparse_SparseBSC_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0645726Z This test tests conversion from any layout to any sparse layout. ... ok (0.193s)
2023-01-11T21:06:43.0646041Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0646340Z This test tests conversion from any layout to any sparse layout. ... ok (0.186s)
2023-01-11T21:06:43.0646651Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0646955Z This test tests conversion from any layout to any sparse layout. ... ok (0.182s)
2023-01-11T21:06:43.0647256Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0647569Z This test tests conversion from any layout to any sparse layout. ... ok (0.195s)
2023-01-11T21:06:43.0647878Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0648192Z This test tests conversion from any layout to any sparse layout. ... ok (0.198s)
2023-01-11T21:06:43.0648489Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0648800Z This test tests conversion from any layout to any sparse layout. ... ok (0.192s)
2023-01-11T21:06:43.0649106Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0649404Z This test tests conversion from any layout to any sparse layout. ... ok (0.188s)
2023-01-11T21:06:43.0649713Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0650031Z This test tests conversion from any layout to any sparse layout. ... ok (0.188s)
2023-01-11T21:06:43.0650338Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0650629Z This test tests conversion from any layout to any sparse layout. ... ok (0.182s)
2023-01-11T21:06:43.0650929Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0651228Z This test tests conversion from any layout to any sparse layout. ... ok (0.182s)
2023-01-11T21:06:43.0651515Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0651815Z This test tests conversion from any layout to any sparse layout. ... ok (0.181s)
2023-01-11T21:06:43.0652118Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0653728Z This test tests conversion from any layout to any sparse layout. ... ok (0.183s)
2023-01-11T21:06:43.0654021Z   test_to_sparse_SparseBSC_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0654329Z This test tests conversion from any layout to any sparse layout. ... ok (0.184s)
2023-01-11T21:06:43.0654640Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0654936Z This test tests conversion from any layout to any sparse layout. ... ok (0.305s)
2023-01-11T21:06:43.0655243Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0655549Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0655868Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0656174Z This test tests conversion from any layout to any sparse layout. ... ok (0.306s)
2023-01-11T21:06:43.0656544Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0656856Z This test tests conversion from any layout to any sparse layout. ... ok (0.308s)
2023-01-11T21:06:43.0657193Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0657507Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0657818Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0658132Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0658431Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0658738Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0659044Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0659341Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0659670Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0659971Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0660274Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0660562Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0660866Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0661173Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0661468Z   test_to_sparse_SparseBSC_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0661770Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0662080Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0662397Z This test tests conversion from any layout to any sparse layout. ... ok (0.303s)
2023-01-11T21:06:43.0662689Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0662997Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0663315Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0663619Z This test tests conversion from any layout to any sparse layout. ... ok (0.305s)
2023-01-11T21:06:43.0663932Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0664243Z This test tests conversion from any layout to any sparse layout. ... ok (0.306s)
2023-01-11T21:06:43.0664553Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0664848Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0665159Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0665472Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0665768Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0666077Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0666384Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0666689Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0666978Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0667277Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0667574Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0667895Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0668201Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0668534Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0668836Z   test_to_sparse_SparseBSC_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0669126Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0669434Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0669763Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0670071Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0670396Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0670724Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0671055Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0671367Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0671696Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0672018Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0672325Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0672648Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0672968Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0673359Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0673671Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0673991Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0674312Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0674622Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0674947Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0675264Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0675584Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0675893Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0676210Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0676530Z   test_to_sparse_SparseBSC_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0676851Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0677161Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0677484Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0677804Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0678110Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0678433Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0678759Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0679120Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0679430Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0679784Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0680110Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0680422Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0680744Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0681061Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0681381Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0681690Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0682015Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0682332Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0682639Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0682958Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0683275Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0683777Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0684084Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0684400Z   test_to_sparse_SparseBSC_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0684720Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0685032Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0685354Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0685676Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0685996Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0686310Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0686640Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0686974Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0687300Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0687607Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0687930Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0688255Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0688560Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0688878Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0689196Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0689515Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0689822Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0690139Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0690456Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0690815Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0691169Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0691488Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0691810Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0692116Z   test_to_sparse_SparseBSC_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0692436Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0692760Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0693071Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0693391Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0693711Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0694040Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0694351Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0694677Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0694998Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0695306Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0695626Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0695948Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0696269Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0696577Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0696896Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0697213Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0697520Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0697839Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0698159Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0698476Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0698784Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0699103Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0699427Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0699748Z   test_to_sparse_SparseBSC_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0700057Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0700376Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0700688Z This test tests conversion from any layout to any sparse layout. ... ok (0.208s)
2023-01-11T21:06:43.0700983Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0701291Z This test tests conversion from any layout to any sparse layout. ... ok (0.205s)
2023-01-11T21:06:43.0701610Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0701960Z This test tests conversion from any layout to any sparse layout. ... ok (0.212s)
2023-01-11T21:06:43.0702259Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0702620Z This test tests conversion from any layout to any sparse layout. ... ok (0.219s)
2023-01-11T21:06:43.0702934Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0703233Z This test tests conversion from any layout to any sparse layout. ... ok (0.217s)
2023-01-11T21:06:43.0703543Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0703855Z This test tests conversion from any layout to any sparse layout. ... ok (0.207s)
2023-01-11T21:06:43.0704165Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0704461Z This test tests conversion from any layout to any sparse layout. ... ok (0.216s)
2023-01-11T21:06:43.0704770Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0705074Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0705364Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0705666Z This test tests conversion from any layout to any sparse layout. ... ok (0.200s)
2023-01-11T21:06:43.0705967Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0706270Z This test tests conversion from any layout to any sparse layout. ... ok (0.200s)
2023-01-11T21:06:43.0706558Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0706868Z This test tests conversion from any layout to any sparse layout. ... ok (0.201s)
2023-01-11T21:06:43.0707169Z   test_to_sparse_SparseBSR_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0707460Z This test tests conversion from any layout to any sparse layout. ... ok (0.213s)
2023-01-11T21:06:43.0707773Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0708088Z This test tests conversion from any layout to any sparse layout. ... ok (0.195s)
2023-01-11T21:06:43.0708393Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0708682Z This test tests conversion from any layout to any sparse layout. ... ok (0.196s)
2023-01-11T21:06:43.0709001Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0709300Z This test tests conversion from any layout to any sparse layout. ... ok (0.204s)
2023-01-11T21:06:43.0709606Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0709915Z This test tests conversion from any layout to any sparse layout. ... ok (0.205s)
2023-01-11T21:06:43.0710218Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0710515Z This test tests conversion from any layout to any sparse layout. ... ok (0.212s)
2023-01-11T21:06:43.0710823Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0711130Z This test tests conversion from any layout to any sparse layout. ... ok (0.201s)
2023-01-11T21:06:43.0711421Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0711726Z This test tests conversion from any layout to any sparse layout. ... ok (0.198s)
2023-01-11T21:06:43.0712028Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0712329Z This test tests conversion from any layout to any sparse layout. ... ok (0.198s)
2023-01-11T21:06:43.0712612Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0712907Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0713323Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0713608Z This test tests conversion from any layout to any sparse layout. ... ok (0.198s)
2023-01-11T21:06:43.0713941Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0714246Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0714533Z   test_to_sparse_SparseBSR_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0714835Z This test tests conversion from any layout to any sparse layout. ... ok (0.199s)
2023-01-11T21:06:43.0715140Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0715449Z This test tests conversion from any layout to any sparse layout. ... ok (0.191s)
2023-01-11T21:06:43.0715740Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0716047Z This test tests conversion from any layout to any sparse layout. ... ok (0.184s)
2023-01-11T21:06:43.0716357Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0716657Z This test tests conversion from any layout to any sparse layout. ... ok (0.192s)
2023-01-11T21:06:43.0716964Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0717278Z This test tests conversion from any layout to any sparse layout. ... ok (0.192s)
2023-01-11T21:06:43.0717582Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0717874Z This test tests conversion from any layout to any sparse layout. ... ok (0.184s)
2023-01-11T21:06:43.0718179Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0718489Z This test tests conversion from any layout to any sparse layout. ... ok (0.182s)
2023-01-11T21:06:43.0718785Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0719091Z This test tests conversion from any layout to any sparse layout. ... ok (0.194s)
2023-01-11T21:06:43.0719394Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0719692Z This test tests conversion from any layout to any sparse layout. ... ok (0.180s)
2023-01-11T21:06:43.0719976Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0720270Z This test tests conversion from any layout to any sparse layout. ... ok (0.181s)
2023-01-11T21:06:43.0720566Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0720853Z This test tests conversion from any layout to any sparse layout. ... ok (0.180s)
2023-01-11T21:06:43.0721152Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0721454Z This test tests conversion from any layout to any sparse layout. ... ok (0.182s)
2023-01-11T21:06:43.0721750Z   test_to_sparse_SparseBSR_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0722038Z This test tests conversion from any layout to any sparse layout. ... ok (0.183s)
2023-01-11T21:06:43.0722344Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0722652Z This test tests conversion from any layout to any sparse layout. ... ok (0.181s)
2023-01-11T21:06:43.0722941Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0723244Z This test tests conversion from any layout to any sparse layout. ... ok (0.174s)
2023-01-11T21:06:43.0725409Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0725723Z This test tests conversion from any layout to any sparse layout. ... ok (0.181s)
2023-01-11T21:06:43.0726022Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0726426Z This test tests conversion from any layout to any sparse layout. ... ok (0.184s)
2023-01-11T21:06:43.0726732Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0727068Z This test tests conversion from any layout to any sparse layout. ... ok (0.173s)
2023-01-11T21:06:43.0727379Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0727687Z This test tests conversion from any layout to any sparse layout. ... ok (0.173s)
2023-01-11T21:06:43.0727993Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0728287Z This test tests conversion from any layout to any sparse layout. ... ok (0.174s)
2023-01-11T21:06:43.0728586Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0728888Z This test tests conversion from any layout to any sparse layout. ... ok (0.170s)
2023-01-11T21:06:43.0729182Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0729484Z This test tests conversion from any layout to any sparse layout. ... ok (0.167s)
2023-01-11T21:06:43.0729783Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0730081Z This test tests conversion from any layout to any sparse layout. ... ok (0.166s)
2023-01-11T21:06:43.0730371Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0730673Z This test tests conversion from any layout to any sparse layout. ... ok (0.168s)
2023-01-11T21:06:43.0730976Z   test_to_sparse_SparseBSR_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0731264Z This test tests conversion from any layout to any sparse layout. ... ok (0.167s)
2023-01-11T21:06:43.0731572Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0731885Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0732188Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0732482Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0732794Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0733106Z This test tests conversion from any layout to any sparse layout. ... ok (0.307s)
2023-01-11T21:06:43.0733405Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0733713Z This test tests conversion from any layout to any sparse layout. ... ok (0.308s)
2023-01-11T21:06:43.0734018Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0734329Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0734622Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0734930Z This test tests conversion from any layout to any sparse layout. ... ok (0.303s)
2023-01-11T21:06:43.0735237Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0735532Z This test tests conversion from any layout to any sparse layout. ... ok (0.303s)
2023-01-11T21:06:43.0735832Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0736129Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0736428Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0736717Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0737015Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0737314Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0737643Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0737948Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0738279Z   test_to_sparse_SparseBSR_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0738579Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0738876Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0739184Z This test tests conversion from any layout to any sparse layout. ... ok (0.303s)
2023-01-11T21:06:43.0739488Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0739777Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0740091Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0740409Z This test tests conversion from any layout to any sparse layout. ... ok (0.305s)
2023-01-11T21:06:43.0740718Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0741096Z This test tests conversion from any layout to any sparse layout. ... ok (0.306s)
2023-01-11T21:06:43.0741414Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0741721Z This test tests conversion from any layout to any sparse layout. ... ok (0.303s)
2023-01-11T21:06:43.0742014Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0742324Z This test tests conversion from any layout to any sparse layout. ... ok (0.303s)
2023-01-11T21:06:43.0742632Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0742939Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0743231Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0743531Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0743830Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0744117Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0744415Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0744714Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0745014Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0745300Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0745598Z   test_to_sparse_SparseBSR_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0745898Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0746194Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0746518Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0746836Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0747153Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0747467Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0747790Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0748110Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0748419Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0748780Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0749098Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0749448Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0749752Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0750064Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0750381Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0750695Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0750999Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0751311Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0751627Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0751933Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0752246Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0752560Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0752875Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0753257Z   test_to_sparse_SparseBSR_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0753575Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0753894Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0754200Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0754521Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0754840Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0755166Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0755479Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0755802Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0756122Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0756432Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0756753Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0757073Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0757392Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0757700Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0758017Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0758338Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0758639Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0758954Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0759269Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0759582Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0759886Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0760233Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0760578Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0760885Z   test_to_sparse_SparseBSR_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0761205Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0761524Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0761846Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0762151Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0762467Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0762792Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0763116Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0763575Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0763928Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0764248Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0764555Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0764871Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0765190Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0765505Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0765812Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0766125Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0766438Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0766742Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0767058Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0767373Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0767688Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0767989Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0768302Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0768617Z   test_to_sparse_SparseBSR_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0768919Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0769243Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0769559Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0769874Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0770178Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0770498Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0770821Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0771126Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0771505Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0771863Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0772188Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0772497Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0772813Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0773129Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0773445Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0773749Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0774070Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0774384Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0774690Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0775003Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0775313Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0775629Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0775933Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0776249Z   test_to_sparse_SparseBSR_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0776567Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0776876Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0777187Z This test tests conversion from any layout to any sparse layout. ... ok (0.518s)
2023-01-11T21:06:43.0777494Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0777799Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0778102Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0778413Z This test tests conversion from any layout to any sparse layout. ... ok (0.517s)
2023-01-11T21:06:43.0778770Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0779067Z This test tests conversion from any layout to any sparse layout. ... ok (0.518s)
2023-01-11T21:06:43.0779378Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0779690Z This test tests conversion from any layout to any sparse layout. ... ok (0.516s)
2023-01-11T21:06:43.0779999Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0780297Z This test tests conversion from any layout to any sparse layout. ... ok (0.517s)
2023-01-11T21:06:43.0780606Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0780914Z This test tests conversion from any layout to any sparse layout. ... ok (0.517s)
2023-01-11T21:06:43.0781203Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0781498Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0781796Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0782098Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0782383Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0782719Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0783063Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0783354Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0783652Z   test_to_sparse_SparseCOO_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0783951Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0784261Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0784561Z This test tests conversion from any layout to any sparse layout. ... ok (0.515s)
2023-01-11T21:06:43.0784863Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0785165Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0785521Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0785833Z This test tests conversion from any layout to any sparse layout. ... ok (0.516s)
2023-01-11T21:06:43.0786144Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0786456Z This test tests conversion from any layout to any sparse layout. ... ok (0.517s)
2023-01-11T21:06:43.0786752Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0787061Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0787369Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0787664Z This test tests conversion from any layout to any sparse layout. ... ok (0.516s)
2023-01-11T21:06:43.0787969Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0788279Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0788580Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0788867Z This test tests conversion from any layout to any sparse layout. ... ok (0.513s)
2023-01-11T21:06:43.0789162Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0789462Z This test tests conversion from any layout to any sparse layout. ... ok (0.515s)
2023-01-11T21:06:43.0789745Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0790041Z This test tests conversion from any layout to any sparse layout. ... ok (0.512s)
2023-01-11T21:06:43.0790343Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0790642Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0790931Z   test_to_sparse_SparseCOO_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0791228Z This test tests conversion from any layout to any sparse layout. ... ok (0.514s)
2023-01-11T21:06:43.0791538Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0791837Z This test tests conversion from any layout to any sparse layout. ... ok (0.423s)
2023-01-11T21:06:43.0792141Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0792446Z This test tests conversion from any layout to any sparse layout. ... ok (0.421s)
2023-01-11T21:06:43.0792754Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0793128Z This test tests conversion from any layout to any sparse layout. ... ok (0.425s)
2023-01-11T21:06:43.0793440Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0793752Z This test tests conversion from any layout to any sparse layout. ... ok (0.425s)
2023-01-11T21:06:43.0794089Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0794428Z This test tests conversion from any layout to any sparse layout. ... ok (0.424s)
2023-01-11T21:06:43.0794735Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0795042Z This test tests conversion from any layout to any sparse layout. ... ok (0.423s)
2023-01-11T21:06:43.0795333Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0795640Z This test tests conversion from any layout to any sparse layout. ... ok (0.423s)
2023-01-11T21:06:43.0795942Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0796229Z This test tests conversion from any layout to any sparse layout. ... ok (0.422s)
2023-01-11T21:06:43.0796524Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0796823Z This test tests conversion from any layout to any sparse layout. ... ok (0.422s)
2023-01-11T21:06:43.0797120Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0797408Z This test tests conversion from any layout to any sparse layout. ... ok (0.422s)
2023-01-11T21:06:43.0797709Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0798008Z This test tests conversion from any layout to any sparse layout. ... ok (0.423s)
2023-01-11T21:06:43.0798293Z   test_to_sparse_SparseCOO_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0798588Z This test tests conversion from any layout to any sparse layout. ... ok (0.429s)
2023-01-11T21:06:43.0798897Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0799203Z This test tests conversion from any layout to any sparse layout. ... ok (0.427s)
2023-01-11T21:06:43.0799491Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0799795Z This test tests conversion from any layout to any sparse layout. ... ok (0.458s)
2023-01-11T21:06:43.0800107Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0800406Z This test tests conversion from any layout to any sparse layout. ... ok (0.426s)
2023-01-11T21:06:43.0800712Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0801022Z This test tests conversion from any layout to any sparse layout. ... ok (0.429s)
2023-01-11T21:06:43.0801325Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0801620Z This test tests conversion from any layout to any sparse layout. ... ok (0.427s)
2023-01-11T21:06:43.0801926Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0802236Z This test tests conversion from any layout to any sparse layout. ... ok (0.454s)
2023-01-11T21:06:43.0802532Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0802839Z This test tests conversion from any layout to any sparse layout. ... ok (0.425s)
2023-01-11T21:06:43.0803138Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0803606Z This test tests conversion from any layout to any sparse layout. ... ok (0.423s)
2023-01-11T21:06:43.0803912Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0804210Z This test tests conversion from any layout to any sparse layout. ... ok (0.437s)
2023-01-11T21:06:43.0804509Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0804794Z This test tests conversion from any layout to any sparse layout. ... ok (0.431s)
2023-01-11T21:06:43.0805095Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0805452Z This test tests conversion from any layout to any sparse layout. ... ok (0.424s)
2023-01-11T21:06:43.0805788Z   test_to_sparse_SparseCOO_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0806077Z This test tests conversion from any layout to any sparse layout. ... ok (0.426s)
2023-01-11T21:06:43.0806384Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0806695Z This test tests conversion from any layout to any sparse layout. ... ok (0.049s)
2023-01-11T21:06:43.0806983Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0807286Z This test tests conversion from any layout to any sparse layout. ... ok (0.043s)
2023-01-11T21:06:43.0807597Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0807906Z This test tests conversion from any layout to any sparse layout. ... ok (0.051s)
2023-01-11T21:06:43.0808203Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0808513Z This test tests conversion from any layout to any sparse layout. ... ok (0.053s)
2023-01-11T21:06:43.0808821Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0809116Z This test tests conversion from any layout to any sparse layout. ... ok (0.048s)
2023-01-11T21:06:43.0809419Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0809727Z This test tests conversion from any layout to any sparse layout. ... ok (0.048s)
2023-01-11T21:06:43.0810031Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0810324Z This test tests conversion from any layout to any sparse layout. ... ok (0.047s)
2023-01-11T21:06:43.0810624Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0810927Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0811214Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0811510Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0811809Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0812093Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0812395Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0812699Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0813000Z   test_to_sparse_SparseCOO_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0813289Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0813595Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0813905Z This test tests conversion from any layout to any sparse layout. ... ok (0.048s)
2023-01-11T21:06:43.0814200Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0814500Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0814809Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0815120Z This test tests conversion from any layout to any sparse layout. ... ok (0.051s)
2023-01-11T21:06:43.0815417Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0815725Z This test tests conversion from any layout to any sparse layout. ... ok (0.053s)
2023-01-11T21:06:43.0816032Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0816327Z This test tests conversion from any layout to any sparse layout. ... ok (0.048s)
2023-01-11T21:06:43.0816668Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0817007Z This test tests conversion from any layout to any sparse layout. ... ok (0.048s)
2023-01-11T21:06:43.0817315Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0817610Z This test tests conversion from any layout to any sparse layout. ... ok (0.047s)
2023-01-11T21:06:43.0817909Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0818210Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0818495Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0818793Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0819091Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0819391Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0819681Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0819980Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0820277Z   test_to_sparse_SparseCOO_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0820564Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0820874Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0821183Z This test tests conversion from any layout to any sparse layout. ... ok (0.240s)
2023-01-11T21:06:43.0821487Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0821780Z This test tests conversion from any layout to any sparse layout. ... ok (0.236s)
2023-01-11T21:06:43.0822092Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0822403Z This test tests conversion from any layout to any sparse layout. ... ok (0.242s)
2023-01-11T21:06:43.0822702Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0823013Z This test tests conversion from any layout to any sparse layout. ... ok (0.246s)
2023-01-11T21:06:43.0823320Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0823631Z This test tests conversion from any layout to any sparse layout. ... ok (0.243s)
2023-01-11T21:06:43.0823924Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0824230Z This test tests conversion from any layout to any sparse layout. ... ok (0.242s)
2023-01-11T21:06:43.0824535Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0824831Z This test tests conversion from any layout to any sparse layout. ... ok (0.242s)
2023-01-11T21:06:43.0825131Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0825433Z This test tests conversion from any layout to any sparse layout. ... ok (0.239s)
2023-01-11T21:06:43.0825735Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0826020Z This test tests conversion from any layout to any sparse layout. ... ok (0.239s)
2023-01-11T21:06:43.0826314Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0826615Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0826901Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0827202Z This test tests conversion from any layout to any sparse layout. ... ok (0.239s)
2023-01-11T21:06:43.0827501Z   test_to_sparse_SparseCOO_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0827836Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0828135Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0828480Z This test tests conversion from any layout to any sparse layout. ... ok (0.243s)
2023-01-11T21:06:43.0828786Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0829080Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0829394Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0829705Z This test tests conversion from any layout to any sparse layout. ... ok (0.245s)
2023-01-11T21:06:43.0830016Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0830318Z This test tests conversion from any layout to any sparse layout. ... ok (0.246s)
2023-01-11T21:06:43.0830630Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0830938Z This test tests conversion from any layout to any sparse layout. ... ok (0.243s)
2023-01-11T21:06:43.0831234Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0831543Z This test tests conversion from any layout to any sparse layout. ... ok (0.242s)
2023-01-11T21:06:43.0831849Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0832157Z This test tests conversion from any layout to any sparse layout. ... ok (0.241s)
2023-01-11T21:06:43.0832445Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0832744Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0833145Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0833441Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0833738Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0834036Z This test tests conversion from any layout to any sparse layout. ... ok (0.237s)
2023-01-11T21:06:43.0834340Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0834629Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0834927Z   test_to_sparse_SparseCOO_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0835229Z This test tests conversion from any layout to any sparse layout. ... ok (0.239s)
2023-01-11T21:06:43.0835526Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0835839Z This test tests conversion from any layout to any sparse layout. ... ok (0.245s)
2023-01-11T21:06:43.0836141Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0836449Z This test tests conversion from any layout to any sparse layout. ... ok (0.239s)
2023-01-11T21:06:43.0836749Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0837059Z This test tests conversion from any layout to any sparse layout. ... ok (0.245s)
2023-01-11T21:06:43.0837368Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0837667Z This test tests conversion from any layout to any sparse layout. ... ok (0.245s)
2023-01-11T21:06:43.0837972Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0838282Z This test tests conversion from any layout to any sparse layout. ... ok (0.244s)
2023-01-11T21:06:43.0838588Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0838882Z This test tests conversion from any layout to any sparse layout. ... ok (0.244s)
2023-01-11T21:06:43.0839235Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0839590Z This test tests conversion from any layout to any sparse layout. ... ok (0.244s)
2023-01-11T21:06:43.0839881Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0840180Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0840478Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0840778Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0841065Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0841366Z This test tests conversion from any layout to any sparse layout. ... ok (0.237s)
2023-01-11T21:06:43.0841671Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0841964Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0842263Z   test_to_sparse_SparseCOO_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0842563Z This test tests conversion from any layout to any sparse layout. ... ok (0.239s)
2023-01-11T21:06:43.0842870Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0843165Z This test tests conversion from any layout to any sparse layout. ... ok (0.244s)
2023-01-11T21:06:43.0843642Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0843948Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0844246Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0844560Z This test tests conversion from any layout to any sparse layout. ... ok (0.244s)
2023-01-11T21:06:43.0844870Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0845180Z This test tests conversion from any layout to any sparse layout. ... ok (0.245s)
2023-01-11T21:06:43.0845477Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0845785Z This test tests conversion from any layout to any sparse layout. ... ok (0.242s)
2023-01-11T21:06:43.0846092Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0846388Z This test tests conversion from any layout to any sparse layout. ... ok (0.242s)
2023-01-11T21:06:43.0846693Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0847000Z This test tests conversion from any layout to any sparse layout. ... ok (0.241s)
2023-01-11T21:06:43.0847304Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0847595Z This test tests conversion from any layout to any sparse layout. ... ok (0.238s)
2023-01-11T21:06:43.0847891Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0848192Z This test tests conversion from any layout to any sparse layout. ... ok (0.247s)
2023-01-11T21:06:43.0848479Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0848779Z This test tests conversion from any layout to any sparse layout. ... ok (0.236s)
2023-01-11T21:06:43.0849081Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0849384Z This test tests conversion from any layout to any sparse layout. ... ok (0.236s)
2023-01-11T21:06:43.0849667Z   test_to_sparse_SparseCOO_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0849960Z This test tests conversion from any layout to any sparse layout. ... ok (0.243s)
2023-01-11T21:06:43.0850266Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0850638Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0851002Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0851324Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0851649Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0851961Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0852283Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0852602Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0852909Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0853227Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0853548Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0853866Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0854174Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0854490Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0854809Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0855129Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0855432Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0855744Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0856061Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0856366Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0856680Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0856996Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0857314Z   test_to_sparse_SparseCSC_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0857617Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0857937Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0858255Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0858559Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0858877Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0859199Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0859522Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0859831Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0860154Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0860473Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0860779Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.020s)
2023-01-11T21:06:43.0861095Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0861412Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.015s)
2023-01-11T21:06:43.0861762Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0862110Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0862426Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0862743Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0863045Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0863362Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0863675Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0863988Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0864291Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0864607Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0864925Z   test_to_sparse_SparseCSC_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0865229Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0865554Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0865872Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0866191Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0866496Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0866817Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0867145Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0867461Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0867770Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0868089Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0868238Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0868382Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0868529Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0868664Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0868816Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0868964Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0869113Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0869260Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0869409Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0869554Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0869703Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0869847Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0869984Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0870130Z   test_to_sparse_SparseCSC_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0870318Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0870467Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0870646Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0870793Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0870942Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0871096Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0871230Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0871382Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0871529Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0871679Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0871825Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0871971Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0872116Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0872259Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0872391Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0872537Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0872686Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0872830Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0872980Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0873267Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0873414Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0873559Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0873709Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0873840Z   test_to_sparse_SparseCSC_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0873988Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0874139Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0874279Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0874423Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0874562Z This test tests conversion from any layout to any sparse layout. ... ok (0.330s)
2023-01-11T21:06:43.0874715Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0874855Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0874993Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0875132Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0875281Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0875420Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0875568Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0875738Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0875916Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0876055Z This test tests conversion from any layout to any sparse layout. ... ok (0.330s)
2023-01-11T21:06:43.0876183Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0876318Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0876456Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0876592Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0876730Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0876863Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0877009Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0877142Z This test tests conversion from any layout to any sparse layout. ... ok (0.327s)
2023-01-11T21:06:43.0877271Z   test_to_sparse_SparseCSC_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0877405Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0877556Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0877694Z This test tests conversion from any layout to any sparse layout. ... ok (0.298s)
2023-01-11T21:06:43.0877837Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0877973Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0878125Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0878263Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0878399Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0878537Z This test tests conversion from any layout to any sparse layout. ... ok (0.311s)
2023-01-11T21:06:43.0878683Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0878821Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0878966Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0879104Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0879300Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0879505Z This test tests conversion from any layout to any sparse layout. ... ok (0.311s)
2023-01-11T21:06:43.0879637Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0879806Z This test tests conversion from any layout to any sparse layout. ... ok (0.311s)
2023-01-11T21:06:43.0879976Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0880138Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0880414Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0880576Z This test tests conversion from any layout to any sparse layout. ... ok (0.326s)
2023-01-11T21:06:43.0880747Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0880910Z This test tests conversion from any layout to any sparse layout. ... ok (0.304s)
2023-01-11T21:06:43.0881036Z   test_to_sparse_SparseCSC_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0881198Z This test tests conversion from any layout to any sparse layout. ... ok (0.298s)
2023-01-11T21:06:43.0881413Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0881616Z This test tests conversion from any layout to any sparse layout. ... ok (0.128s)
2023-01-11T21:06:43.0901850Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0902113Z This test tests conversion from any layout to any sparse layout. ... ok (0.125s)
2023-01-11T21:06:43.0902281Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0902417Z This test tests conversion from any layout to any sparse layout. ... ok (0.136s)
2023-01-11T21:06:43.0902577Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0902722Z This test tests conversion from any layout to any sparse layout. ... ok (0.145s)
2023-01-11T21:06:43.0902876Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0903027Z This test tests conversion from any layout to any sparse layout. ... ok (0.136s)
2023-01-11T21:06:43.0903179Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0903323Z This test tests conversion from any layout to any sparse layout. ... ok (0.127s)
2023-01-11T21:06:43.0903474Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0903602Z This test tests conversion from any layout to any sparse layout. ... ok (0.121s)
2023-01-11T21:06:43.0903747Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0903885Z This test tests conversion from any layout to any sparse layout. ... ok (0.113s)
2023-01-11T21:06:43.0904032Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0904171Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0904315Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0904454Z This test tests conversion from any layout to any sparse layout. ... ok (0.113s)
2023-01-11T21:06:43.0904603Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0904728Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0904873Z   test_to_sparse_SparseCSC_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0905010Z This test tests conversion from any layout to any sparse layout. ... ok (0.115s)
2023-01-11T21:06:43.0905162Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0905301Z This test tests conversion from any layout to any sparse layout. ... ok (0.134s)
2023-01-11T21:06:43.0905449Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0905589Z This test tests conversion from any layout to any sparse layout. ... ok (0.118s)
2023-01-11T21:06:43.0905743Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0905871Z This test tests conversion from any layout to any sparse layout. ... ok (0.135s)
2023-01-11T21:06:43.0906025Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0906164Z This test tests conversion from any layout to any sparse layout. ... ok (0.138s)
2023-01-11T21:06:43.0906313Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0906450Z This test tests conversion from any layout to any sparse layout. ... ok (0.127s)
2023-01-11T21:06:43.0906600Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0906739Z This test tests conversion from any layout to any sparse layout. ... ok (0.116s)
2023-01-11T21:06:43.0906887Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0907139Z This test tests conversion from any layout to any sparse layout. ... ok (0.115s)
2023-01-11T21:06:43.0907329Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0907470Z This test tests conversion from any layout to any sparse layout. ... ok (0.127s)
2023-01-11T21:06:43.0907614Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0907751Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0907892Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0908027Z This test tests conversion from any layout to any sparse layout. ... ok (0.109s)
2023-01-11T21:06:43.0908175Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0908300Z This test tests conversion from any layout to any sparse layout. ... ok (0.110s)
2023-01-11T21:06:43.0908445Z   test_to_sparse_SparseCSC_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0908584Z This test tests conversion from any layout to any sparse layout. ... ok (0.109s)
2023-01-11T21:06:43.0908735Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0908872Z This test tests conversion from any layout to any sparse layout. ... ok (0.116s)
2023-01-11T21:06:43.0909017Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0909154Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0909307Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0909447Z This test tests conversion from any layout to any sparse layout. ... ok (0.124s)
2023-01-11T21:06:43.0909585Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0909724Z This test tests conversion from any layout to any sparse layout. ... ok (0.128s)
2023-01-11T21:06:43.0909878Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0910018Z This test tests conversion from any layout to any sparse layout. ... ok (0.130s)
2023-01-11T21:06:43.0910167Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0910306Z This test tests conversion from any layout to any sparse layout. ... ok (0.124s)
2023-01-11T21:06:43.0910454Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0910589Z This test tests conversion from any layout to any sparse layout. ... ok (0.117s)
2023-01-11T21:06:43.0910720Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0910856Z This test tests conversion from any layout to any sparse layout. ... ok (0.113s)
2023-01-11T21:06:43.0911002Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0911135Z This test tests conversion from any layout to any sparse layout. ... ok (0.113s)
2023-01-11T21:06:43.0911276Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0911413Z This test tests conversion from any layout to any sparse layout. ... ok (0.123s)
2023-01-11T21:06:43.0911559Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0911696Z This test tests conversion from any layout to any sparse layout. ... ok (0.123s)
2023-01-11T21:06:43.0911825Z   test_to_sparse_SparseCSC_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0911960Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0912110Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0912246Z This test tests conversion from any layout to any sparse layout. ... ok (0.127s)
2023-01-11T21:06:43.0912430Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0912600Z This test tests conversion from any layout to any sparse layout. ... ok (0.106s)
2023-01-11T21:06:43.0912755Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0912895Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0913114Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0913253Z This test tests conversion from any layout to any sparse layout. ... ok (0.121s)
2023-01-11T21:06:43.0913403Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0913544Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0913693Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0913836Z This test tests conversion from any layout to any sparse layout. ... ok (0.122s)
2023-01-11T21:06:43.0913984Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0914123Z This test tests conversion from any layout to any sparse layout. ... ok (0.111s)
2023-01-11T21:06:43.0914253Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0914391Z This test tests conversion from any layout to any sparse layout. ... ok (0.105s)
2023-01-11T21:06:43.0914536Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0914672Z This test tests conversion from any layout to any sparse layout. ... ok (0.106s)
2023-01-11T21:06:43.0914815Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0914953Z This test tests conversion from any layout to any sparse layout. ... ok (0.103s)
2023-01-11T21:06:43.0915101Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0915239Z This test tests conversion from any layout to any sparse layout. ... ok (0.104s)
2023-01-11T21:06:43.0915370Z   test_to_sparse_SparseCSC_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0915508Z This test tests conversion from any layout to any sparse layout. ... ok (0.106s)
2023-01-11T21:06:43.0915659Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0915818Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0915965Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0916119Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0916272Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0916428Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0916579Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0916721Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0916870Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0917020Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0917168Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0917318Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0917466Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0917617Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0917799Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0917935Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0918143Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0918291Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0918435Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0918587Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.019s)
2023-01-11T21:06:43.0918732Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0918882Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.025s)
2023-01-11T21:06:43.0919027Z   test_to_sparse_SparseCSR_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0919168Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.024s)
2023-01-11T21:06:43.0919323Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0919474Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.024s)
2023-01-11T21:06:43.0919619Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0919769Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.015s)
2023-01-11T21:06:43.0919923Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0920075Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0920227Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0920377Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0920515Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0920669Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0920818Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0920968Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0921117Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0921268Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0921412Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0921562Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0921694Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0921843Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0921989Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0922139Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0922284Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0922434Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.013s)
2023-01-11T21:06:43.0922577Z   test_to_sparse_SparseCSR_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0922727Z This test tests conversion from any layout to any sparse layout. ... skip: NOT IMPL (0.014s)
2023-01-11T21:06:43.0922864Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0923037Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0923180Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0923347Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0923719Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0923861Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0924014Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0924152Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0924288Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0924428Z This test tests conversion from any layout to any sparse layout. ... ok (0.331s)
2023-01-11T21:06:43.0924586Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0924726Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0924876Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0925015Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0925157Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0925296Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0925467Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0925590Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0925733Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0925874Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0926020Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0926160Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0926305Z   test_to_sparse_SparseCSR_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0926442Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0926592Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0926716Z This test tests conversion from any layout to any sparse layout. ... ok (0.295s)
2023-01-11T21:06:43.0926862Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0927001Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0927157Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0927295Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0927447Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0927587Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0927736Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0927861Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0928010Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0928147Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0928293Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0928430Z This test tests conversion from any layout to any sparse layout. ... ok (0.295s)
2023-01-11T21:06:43.0928626Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0928765Z This test tests conversion from any layout to any sparse layout. ... ok (0.292s)
2023-01-11T21:06:43.0928948Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0929071Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0929215Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0929352Z This test tests conversion from any layout to any sparse layout. ... ok (0.292s)
2023-01-11T21:06:43.0929497Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0929634Z This test tests conversion from any layout to any sparse layout. ... ok (0.292s)
2023-01-11T21:06:43.0929778Z   test_to_sparse_SparseCSR_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0929918Z This test tests conversion from any layout to any sparse layout. ... ok (0.292s)
2023-01-11T21:06:43.0930069Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0930195Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0930341Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0930478Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0930630Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0930765Z This test tests conversion from any layout to any sparse layout. ... ok (0.309s)
2023-01-11T21:06:43.0930917Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0931099Z This test tests conversion from any layout to any sparse layout. ... ok (0.306s)
2023-01-11T21:06:43.0931248Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0931373Z This test tests conversion from any layout to any sparse layout. ... ok (0.300s)
2023-01-11T21:06:43.0931524Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0931661Z This test tests conversion from any layout to any sparse layout. ... ok (0.301s)
2023-01-11T21:06:43.0931809Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0931947Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0932089Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0932227Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0932369Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0932493Z This test tests conversion from any layout to any sparse layout. ... ok (0.326s)
2023-01-11T21:06:43.0932639Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0932774Z This test tests conversion from any layout to any sparse layout. ... ok (0.292s)
2023-01-11T21:06:43.0932920Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0933052Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0933192Z   test_to_sparse_SparseCSR_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0933328Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0933479Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0933614Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0933747Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0933931Z This test tests conversion from any layout to any sparse layout. ... ok (0.329s)
2023-01-11T21:06:43.0934083Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0934252Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0934405Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0934541Z This test tests conversion from any layout to any sparse layout. ... ok (0.299s)
2023-01-11T21:06:43.0934689Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0934825Z This test tests conversion from any layout to any sparse layout. ... ok (0.297s)
2023-01-11T21:06:43.0934960Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0935097Z This test tests conversion from any layout to any sparse layout. ... ok (0.296s)
2023-01-11T21:06:43.0935246Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0935379Z This test tests conversion from any layout to any sparse layout. ... ok (0.330s)
2023-01-11T21:06:43.0935527Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0935686Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0935825Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0935961Z This test tests conversion from any layout to any sparse layout. ... ok (0.294s)
2023-01-11T21:06:43.0936090Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0936227Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0936368Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0936502Z This test tests conversion from any layout to any sparse layout. ... ok (0.292s)
2023-01-11T21:06:43.0936647Z   test_to_sparse_SparseCSR_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0936787Z This test tests conversion from any layout to any sparse layout. ... ok (0.293s)
2023-01-11T21:06:43.0936937Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0937075Z This test tests conversion from any layout to any sparse layout. ... ok (0.125s)
2023-01-11T21:06:43.0937209Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0937344Z This test tests conversion from any layout to any sparse layout. ... ok (0.118s)
2023-01-11T21:06:43.0937496Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0937633Z This test tests conversion from any layout to any sparse layout. ... ok (0.131s)
2023-01-11T21:06:43.0937785Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0937924Z This test tests conversion from any layout to any sparse layout. ... ok (0.133s)
2023-01-11T21:06:43.0938072Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0938210Z This test tests conversion from any layout to any sparse layout. ... ok (0.124s)
2023-01-11T21:06:43.0938343Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0938479Z This test tests conversion from any layout to any sparse layout. ... ok (0.123s)
2023-01-11T21:06:43.0938627Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0938765Z This test tests conversion from any layout to any sparse layout. ... ok (0.123s)
2023-01-11T21:06:43.0938906Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0939045Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0939216Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0939352Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0939513Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0939651Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0939798Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0939935Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0940076Z   test_to_sparse_SparseCSR_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0940213Z This test tests conversion from any layout to any sparse layout. ... ok (0.120s)
2023-01-11T21:06:43.0940365Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0940506Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0940639Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0940779Z This test tests conversion from any layout to any sparse layout. ... ok (0.113s)
2023-01-11T21:06:43.0940931Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0941068Z This test tests conversion from any layout to any sparse layout. ... ok (0.136s)
2023-01-11T21:06:43.0941224Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0941362Z This test tests conversion from any layout to any sparse layout. ... ok (0.164s)
2023-01-11T21:06:43.0941508Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0941644Z This test tests conversion from any layout to any sparse layout. ... ok (0.120s)
2023-01-11T21:06:43.0941791Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0941917Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0942065Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0942201Z This test tests conversion from any layout to any sparse layout. ... ok (0.119s)
2023-01-11T21:06:43.0942343Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0942480Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0942620Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0942757Z This test tests conversion from any layout to any sparse layout. ... ok (0.114s)
2023-01-11T21:06:43.0942897Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0943019Z This test tests conversion from any layout to any sparse layout. ... ok (0.113s)
2023-01-11T21:06:43.0943166Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0943301Z This test tests conversion from any layout to any sparse layout. ... ok (0.121s)
2023-01-11T21:06:43.0943441Z   test_to_sparse_SparseCSR_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0943572Z This test tests conversion from any layout to any sparse layout. ... ok (0.116s)
2023-01-11T21:06:43.0943721Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0943857Z This test tests conversion from any layout to any sparse layout. ... ok (0.102s)
2023-01-11T21:06:43.0944002Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0944125Z This test tests conversion from any layout to any sparse layout. ... ok (0.096s)
2023-01-11T21:06:43.0944275Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0944443Z This test tests conversion from any layout to any sparse layout. ... ok (0.108s)
2023-01-11T21:06:43.0944593Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0944755Z This test tests conversion from any layout to any sparse layout. ... ok (0.108s)
2023-01-11T21:06:43.0944897Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0945032Z This test tests conversion from any layout to any sparse layout. ... ok (0.101s)
2023-01-11T21:06:43.0945180Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0945304Z This test tests conversion from any layout to any sparse layout. ... ok (0.099s)
2023-01-11T21:06:43.0945445Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0945579Z This test tests conversion from any layout to any sparse layout. ... ok (0.098s)
2023-01-11T21:06:43.0945724Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0945852Z This test tests conversion from any layout to any sparse layout. ... ok (0.094s)
2023-01-11T21:06:43.0945987Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0946121Z This test tests conversion from any layout to any sparse layout. ... ok (0.095s)
2023-01-11T21:06:43.0946254Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0946375Z This test tests conversion from any layout to any sparse layout. ... ok (0.093s)
2023-01-11T21:06:43.0946519Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0946645Z This test tests conversion from any layout to any sparse layout. ... ok (0.094s)
2023-01-11T21:06:43.0946783Z   test_to_sparse_SparseCSR_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0946911Z This test tests conversion from any layout to any sparse layout. ... ok (0.130s)
2023-01-11T21:06:43.0947060Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0947190Z This test tests conversion from any layout to any sparse layout. ... ok (0.097s)
2023-01-11T21:06:43.0947327Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0947449Z This test tests conversion from any layout to any sparse layout. ... ok (0.092s)
2023-01-11T21:06:43.0947601Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0947729Z This test tests conversion from any layout to any sparse layout. ... ok (0.105s)
2023-01-11T21:06:43.0947880Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0948015Z This test tests conversion from any layout to any sparse layout. ... ok (0.105s)
2023-01-11T21:06:43.0948163Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0948303Z This test tests conversion from any layout to any sparse layout. ... ok (0.098s)
2023-01-11T21:06:43.0948449Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0948573Z This test tests conversion from any layout to any sparse layout. ... ok (0.096s)
2023-01-11T21:06:43.0948721Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0948857Z This test tests conversion from any layout to any sparse layout. ... ok (0.096s)
2023-01-11T21:06:43.0949001Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0949136Z This test tests conversion from any layout to any sparse layout. ... ok (0.092s)
2023-01-11T21:06:43.0949277Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0949414Z This test tests conversion from any layout to any sparse layout. ... ok (0.091s)
2023-01-11T21:06:43.0949586Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0949724Z This test tests conversion from any layout to any sparse layout. ... ok (0.091s)
2023-01-11T21:06:43.0949886Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0950028Z This test tests conversion from any layout to any sparse layout. ... ok (0.105s)
2023-01-11T21:06:43.0950171Z   test_to_sparse_SparseCSR_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0950306Z This test tests conversion from any layout to any sparse layout. ... ok (0.130s)
2023-01-11T21:06:43.0950453Z   test_to_sparse_Strided_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0950589Z This test tests conversion from any layout to any sparse layout. ... ok (0.078s)
2023-01-11T21:06:43.0950730Z   test_to_sparse_Strided_SparseBSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0950873Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0951011Z   test_to_sparse_Strided_SparseBSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0951150Z This test tests conversion from any layout to any sparse layout. ... ok (0.082s)
2023-01-11T21:06:43.0951298Z   test_to_sparse_Strided_SparseBSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0951434Z This test tests conversion from any layout to any sparse layout. ... ok (0.083s)
2023-01-11T21:06:43.0951577Z   test_to_sparse_Strided_SparseBSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0951714Z This test tests conversion from any layout to any sparse layout. ... ok (0.079s)
2023-01-11T21:06:43.0951853Z   test_to_sparse_Strided_SparseBSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0951990Z This test tests conversion from any layout to any sparse layout. ... ok (0.080s)
2023-01-11T21:06:43.0952118Z   test_to_sparse_Strided_SparseBSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0952258Z This test tests conversion from any layout to any sparse layout. ... ok (0.079s)
2023-01-11T21:06:43.0952403Z   test_to_sparse_Strided_SparseBSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0952540Z This test tests conversion from any layout to any sparse layout. ... ok (0.078s)
2023-01-11T21:06:43.0952680Z   test_to_sparse_Strided_SparseBSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0952815Z This test tests conversion from any layout to any sparse layout. ... ok (0.078s)
2023-01-11T21:06:43.0952957Z   test_to_sparse_Strided_SparseBSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0953168Z This test tests conversion from any layout to any sparse layout. ... ok (0.075s)
2023-01-11T21:06:43.0953299Z   test_to_sparse_Strided_SparseBSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0953435Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0953580Z   test_to_sparse_Strided_SparseBSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0953716Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0953857Z   test_to_sparse_Strided_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0953986Z This test tests conversion from any layout to any sparse layout. ... ok (0.077s)
2023-01-11T21:06:43.0954126Z   test_to_sparse_Strided_SparseBSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0954258Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0954394Z   test_to_sparse_Strided_SparseBSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0954525Z This test tests conversion from any layout to any sparse layout. ... ok (0.081s)
2023-01-11T21:06:43.0954665Z   test_to_sparse_Strided_SparseBSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0954837Z This test tests conversion from any layout to any sparse layout. ... ok (0.083s)
2023-01-11T21:06:43.0954972Z   test_to_sparse_Strided_SparseBSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0955135Z This test tests conversion from any layout to any sparse layout. ... ok (0.079s)
2023-01-11T21:06:43.0955270Z   test_to_sparse_Strided_SparseBSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0955405Z This test tests conversion from any layout to any sparse layout. ... ok (0.078s)
2023-01-11T21:06:43.0955534Z   test_to_sparse_Strided_SparseBSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0955663Z This test tests conversion from any layout to any sparse layout. ... ok (0.078s)
2023-01-11T21:06:43.0955799Z   test_to_sparse_Strided_SparseBSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0955934Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0956071Z   test_to_sparse_Strided_SparseBSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0956208Z This test tests conversion from any layout to any sparse layout. ... ok (0.077s)
2023-01-11T21:06:43.0956350Z   test_to_sparse_Strided_SparseBSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0956490Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0956619Z   test_to_sparse_Strided_SparseBSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0956755Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0956896Z   test_to_sparse_Strided_SparseBSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0957031Z This test tests conversion from any layout to any sparse layout. ... ok (0.076s)
2023-01-11T21:06:43.0957177Z   test_to_sparse_Strided_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0957315Z This test tests conversion from any layout to any sparse layout. ... ok (0.068s)
2023-01-11T21:06:43.0957457Z   test_to_sparse_Strided_SparseBSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0957595Z This test tests conversion from any layout to any sparse layout. ... ok (0.066s)
2023-01-11T21:06:43.0957736Z   test_to_sparse_Strided_SparseBSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0957872Z This test tests conversion from any layout to any sparse layout. ... ok (0.071s)
2023-01-11T21:06:43.0958019Z   test_to_sparse_Strided_SparseBSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0958155Z This test tests conversion from any layout to any sparse layout. ... ok (0.072s)
2023-01-11T21:06:43.0958295Z   test_to_sparse_Strided_SparseBSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0958430Z This test tests conversion from any layout to any sparse layout. ... ok (0.068s)
2023-01-11T21:06:43.0958572Z   test_to_sparse_Strided_SparseBSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0958712Z This test tests conversion from any layout to any sparse layout. ... ok (0.067s)
2023-01-11T21:06:43.0958840Z   test_to_sparse_Strided_SparseBSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0958979Z This test tests conversion from any layout to any sparse layout. ... ok (0.067s)
2023-01-11T21:06:43.0959120Z   test_to_sparse_Strided_SparseBSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0959255Z This test tests conversion from any layout to any sparse layout. ... ok (0.066s)
2023-01-11T21:06:43.0959396Z   test_to_sparse_Strided_SparseBSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0959531Z This test tests conversion from any layout to any sparse layout. ... ok (0.066s)
2023-01-11T21:06:43.0959671Z   test_to_sparse_Strided_SparseBSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0959810Z This test tests conversion from any layout to any sparse layout. ... ok (0.066s)
2023-01-11T21:06:43.0959948Z   test_to_sparse_Strided_SparseBSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0960102Z This test tests conversion from any layout to any sparse layout. ... ok (0.069s)
2023-01-11T21:06:43.0960243Z   test_to_sparse_Strided_SparseBSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0960409Z This test tests conversion from any layout to any sparse layout. ... ok (0.068s)
2023-01-11T21:06:43.0960557Z   test_to_sparse_Strided_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0960693Z This test tests conversion from any layout to any sparse layout. ... ok (0.070s)
2023-01-11T21:06:43.0960829Z   test_to_sparse_Strided_SparseBSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0960965Z This test tests conversion from any layout to any sparse layout. ... ok (0.069s)
2023-01-11T21:06:43.0961116Z   test_to_sparse_Strided_SparseBSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0961241Z This test tests conversion from any layout to any sparse layout. ... ok (0.074s)
2023-01-11T21:06:43.0961391Z   test_to_sparse_Strided_SparseBSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0961529Z This test tests conversion from any layout to any sparse layout. ... ok (0.075s)
2023-01-11T21:06:43.0961670Z   test_to_sparse_Strided_SparseBSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0961806Z This test tests conversion from any layout to any sparse layout. ... ok (0.071s)
2023-01-11T21:06:43.0961948Z   test_to_sparse_Strided_SparseBSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0962086Z This test tests conversion from any layout to any sparse layout. ... ok (0.071s)
2023-01-11T21:06:43.0962226Z   test_to_sparse_Strided_SparseBSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0962350Z This test tests conversion from any layout to any sparse layout. ... ok (0.070s)
2023-01-11T21:06:43.0962493Z   test_to_sparse_Strided_SparseBSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0962630Z This test tests conversion from any layout to any sparse layout. ... ok (0.067s)
2023-01-11T21:06:43.0962772Z   test_to_sparse_Strided_SparseBSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0962908Z This test tests conversion from any layout to any sparse layout. ... ok (0.094s)
2023-01-11T21:06:43.0963087Z   test_to_sparse_Strided_SparseBSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0963222Z This test tests conversion from any layout to any sparse layout. ... ok (0.075s)
2023-01-11T21:06:43.0963480Z   test_to_sparse_Strided_SparseBSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0963677Z This test tests conversion from any layout to any sparse layout. ... ok (0.067s)
2023-01-11T21:06:43.0963813Z   test_to_sparse_Strided_SparseBSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0963942Z This test tests conversion from any layout to any sparse layout. ... ok (0.068s)
2023-01-11T21:06:43.0964088Z   test_to_sparse_Strided_SparseCOO_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0964221Z This test tests conversion from any layout to any sparse layout. ... ok (0.060s)
2023-01-11T21:06:43.0964352Z   test_to_sparse_Strided_SparseCOO_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0964484Z This test tests conversion from any layout to any sparse layout. ... ok (0.053s)
2023-01-11T21:06:43.0964631Z   test_to_sparse_Strided_SparseCOO_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0964755Z This test tests conversion from any layout to any sparse layout. ... ok (0.065s)
2023-01-11T21:06:43.0964894Z   test_to_sparse_Strided_SparseCOO_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0965023Z This test tests conversion from any layout to any sparse layout. ... ok (0.066s)
2023-01-11T21:06:43.0965163Z   test_to_sparse_Strided_SparseCOO_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0965291Z This test tests conversion from any layout to any sparse layout. ... ok (0.060s)
2023-01-11T21:06:43.0965478Z   test_to_sparse_Strided_SparseCOO_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0965608Z This test tests conversion from any layout to any sparse layout. ... ok (0.060s)
2023-01-11T21:06:43.0965782Z   test_to_sparse_Strided_SparseCOO_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0965906Z This test tests conversion from any layout to any sparse layout. ... ok (0.059s)
2023-01-11T21:06:43.0966041Z   test_to_sparse_Strided_SparseCOO_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0966174Z This test tests conversion from any layout to any sparse layout. ... ok (0.054s)
2023-01-11T21:06:43.0966308Z   test_to_sparse_Strided_SparseCOO_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0966438Z This test tests conversion from any layout to any sparse layout. ... ok (0.054s)
2023-01-11T21:06:43.0966578Z   test_to_sparse_Strided_SparseCOO_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0966710Z This test tests conversion from any layout to any sparse layout. ... ok (0.053s)
2023-01-11T21:06:43.0966844Z   test_to_sparse_Strided_SparseCOO_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0966969Z This test tests conversion from any layout to any sparse layout. ... ok (0.054s)
2023-01-11T21:06:43.0967108Z   test_to_sparse_Strided_SparseCOO_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0967237Z This test tests conversion from any layout to any sparse layout. ... ok (0.053s)
2023-01-11T21:06:43.0967374Z   test_to_sparse_Strided_SparseCOO_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0967510Z This test tests conversion from any layout to any sparse layout. ... ok (0.060s)
2023-01-11T21:06:43.0967641Z   test_to_sparse_Strided_SparseCOO_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0967769Z This test tests conversion from any layout to any sparse layout. ... ok (0.052s)
2023-01-11T21:06:43.0967919Z   test_to_sparse_Strided_SparseCOO_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0968045Z This test tests conversion from any layout to any sparse layout. ... ok (0.063s)
2023-01-11T21:06:43.0968185Z   test_to_sparse_Strided_SparseCOO_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0968316Z This test tests conversion from any layout to any sparse layout. ... ok (0.064s)
2023-01-11T21:06:43.0968451Z   test_to_sparse_Strided_SparseCOO_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0968588Z This test tests conversion from any layout to any sparse layout. ... ok (0.059s)
2023-01-11T21:06:43.0968720Z   test_to_sparse_Strided_SparseCOO_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0968847Z This test tests conversion from any layout to any sparse layout. ... ok (0.069s)
2023-01-11T21:06:43.0968984Z   test_to_sparse_Strided_SparseCOO_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0969119Z This test tests conversion from any layout to any sparse layout. ... ok (0.058s)
2023-01-11T21:06:43.0969251Z   test_to_sparse_Strided_SparseCOO_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0969384Z This test tests conversion from any layout to any sparse layout. ... ok (0.052s)
2023-01-11T21:06:43.0969527Z   test_to_sparse_Strided_SparseCOO_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0969666Z This test tests conversion from any layout to any sparse layout. ... ok (0.052s)
2023-01-11T21:06:43.0969807Z   test_to_sparse_Strided_SparseCOO_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0969942Z This test tests conversion from any layout to any sparse layout. ... ok (0.051s)
2023-01-11T21:06:43.0970089Z   test_to_sparse_Strided_SparseCOO_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0970224Z This test tests conversion from any layout to any sparse layout. ... ok (0.052s)
2023-01-11T21:06:43.0970353Z   test_to_sparse_Strided_SparseCOO_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0970536Z This test tests conversion from any layout to any sparse layout. ... ok (0.052s)
2023-01-11T21:06:43.0970682Z   test_to_sparse_Strided_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0970839Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0970974Z   test_to_sparse_Strided_SparseCSC_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0971108Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0971251Z   test_to_sparse_Strided_SparseCSC_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0971386Z This test tests conversion from any layout to any sparse layout. ... ok (0.044s)
2023-01-11T21:06:43.0971523Z   test_to_sparse_Strided_SparseCSC_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0971652Z This test tests conversion from any layout to any sparse layout. ... ok (0.045s)
2023-01-11T21:06:43.0971785Z   test_to_sparse_Strided_SparseCSC_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0971922Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0972056Z   test_to_sparse_Strided_SparseCSC_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0972185Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0972327Z   test_to_sparse_Strided_SparseCSC_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0972462Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0972591Z   test_to_sparse_Strided_SparseCSC_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0972729Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0972871Z   test_to_sparse_Strided_SparseCSC_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0973008Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0973153Z   test_to_sparse_Strided_SparseCSC_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0973289Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0973435Z   test_to_sparse_Strided_SparseCSC_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0973570Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0973698Z   test_to_sparse_Strided_SparseCSC_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0973837Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0973984Z   test_to_sparse_Strided_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0974122Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0974260Z   test_to_sparse_Strided_SparseCSC_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0974397Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0974549Z   test_to_sparse_Strided_SparseCSC_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0974688Z This test tests conversion from any layout to any sparse layout. ... ok (0.043s)
2023-01-11T21:06:43.0974824Z   test_to_sparse_Strided_SparseCSC_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0974960Z This test tests conversion from any layout to any sparse layout. ... ok (0.044s)
2023-01-11T21:06:43.0975100Z   test_to_sparse_Strided_SparseCSC_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0975229Z This test tests conversion from any layout to any sparse layout. ... ok (0.048s)
2023-01-11T21:06:43.0975369Z   test_to_sparse_Strided_SparseCSC_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0975497Z This test tests conversion from any layout to any sparse layout. ... ok (0.044s)
2023-01-11T21:06:43.0975634Z   test_to_sparse_Strided_SparseCSC_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0975809Z This test tests conversion from any layout to any sparse layout. ... ok (0.040s)
2023-01-11T21:06:43.0975939Z   test_to_sparse_Strided_SparseCSC_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0976097Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0976231Z   test_to_sparse_Strided_SparseCSC_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0976361Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0976500Z   test_to_sparse_Strided_SparseCSC_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0976628Z This test tests conversion from any layout to any sparse layout. ... ok (0.037s)
2023-01-11T21:06:43.0976760Z   test_to_sparse_Strided_SparseCSC_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0976894Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0977026Z   test_to_sparse_Strided_SparseCSC_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0977155Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0977297Z   test_to_sparse_Strided_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0977432Z This test tests conversion from any layout to any sparse layout. ... ok (0.060s)
2023-01-11T21:06:43.0977565Z   test_to_sparse_Strided_SparseCSR_int32_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0977694Z This test tests conversion from any layout to any sparse layout. ... ok (0.055s)
2023-01-11T21:06:43.0977841Z   test_to_sparse_Strided_SparseCSR_int32_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0977970Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0978111Z   test_to_sparse_Strided_SparseCSR_int32_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0978238Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0978373Z   test_to_sparse_Strided_SparseCSR_int32_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0978512Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0978655Z   test_to_sparse_Strided_SparseCSR_int32_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0978789Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0978930Z   test_to_sparse_Strided_SparseCSR_int32_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0979066Z This test tests conversion from any layout to any sparse layout. ... ok (0.038s)
2023-01-11T21:06:43.0979207Z   test_to_sparse_Strided_SparseCSR_int32_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0979329Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0979469Z   test_to_sparse_Strided_SparseCSR_int32_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0979608Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0979749Z   test_to_sparse_Strided_SparseCSR_int32_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0979888Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0980029Z   test_to_sparse_Strided_SparseCSR_int32_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0980163Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0980304Z   test_to_sparse_Strided_SparseCSR_int32_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0980429Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0980575Z   test_to_sparse_Strided_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0980713Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0980883Z   test_to_sparse_Strided_SparseCSR_int64_cpu_bool (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0981019Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0981190Z   test_to_sparse_Strided_SparseCSR_int64_cpu_complex128 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0981322Z This test tests conversion from any layout to any sparse layout. ... ok (0.041s)
2023-01-11T21:06:43.0981469Z   test_to_sparse_Strided_SparseCSR_int64_cpu_complex64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0981592Z This test tests conversion from any layout to any sparse layout. ... ok (0.042s)
2023-01-11T21:06:43.0981725Z   test_to_sparse_Strided_SparseCSR_int64_cpu_float16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0981855Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0981995Z   test_to_sparse_Strided_SparseCSR_int64_cpu_float32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0982125Z This test tests conversion from any layout to any sparse layout. ... ok (0.039s)
2023-01-11T21:06:43.0982258Z   test_to_sparse_Strided_SparseCSR_int64_cpu_float64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0982387Z This test tests conversion from any layout to any sparse layout. ... ok (0.049s)
2023-01-11T21:06:43.0982528Z   test_to_sparse_Strided_SparseCSR_int64_cpu_int16 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0982651Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0982789Z   test_to_sparse_Strided_SparseCSR_int64_cpu_int32 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0982918Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0983056Z   test_to_sparse_Strided_SparseCSR_int64_cpu_int64 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0983185Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0983319Z   test_to_sparse_Strided_SparseCSR_int64_cpu_int8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0983456Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0983592Z   test_to_sparse_Strided_SparseCSR_int64_cpu_uint8 (__main__.TestSparseAnyCPU)
2023-01-11T21:06:43.0983718Z This test tests conversion from any layout to any sparse layout. ... ok (0.036s)
2023-01-11T21:06:43.0984885Z   test_Sparse_to_Sparse_copy__cpu_bfloat16 (__main__.TestSparseCPU) ... test_sparse.py:757: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T21:06:43.0984985Z   self.assertEqual(None, x1.grad)
2023-01-11T21:06:43.0985052Z ok (0.025s)
2023-01-11T21:06:43.0985381Z   test_Sparse_to_Sparse_copy__cpu_complex128 (__main__.TestSparseCPU) ... test_sparse.py:729: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:276.)
2023-01-11T21:06:43.0985466Z   x1 = x1.to(torch.float32)
2023-01-11T21:06:43.0985532Z ok (0.024s)
2023-01-11T21:06:43.0985677Z   test_Sparse_to_Sparse_copy__cpu_float64 (__main__.TestSparseCPU) ... ok (0.024s)
2023-01-11T21:06:43.0985944Z   test_Sparse_to_Sparse_copy_multi_gpu_cpu_complex128 (__main__.TestSparseCPU) ... skip: no multi-GPU (0.001s)
2023-01-11T21:06:43.0986201Z   test_Sparse_to_Sparse_copy_multi_gpu_cpu_float64 (__main__.TestSparseCPU) ... skip: no multi-GPU (0.001s)
2023-01-11T21:06:43.0986342Z   test_add_dense_sparse_mismatch_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.0986492Z   test_add_dense_sparse_mismatch_cpu_float64 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.0986669Z   test_add_noncontiguous_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0986835Z   test_add_noncontiguous_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0986970Z   test_add_sub_nnz_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.0987098Z   test_add_sub_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.0987230Z   test_add_zeros_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.0987358Z   test_add_zeros_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s)
2023-01-11T21:06:43.0987459Z   test_any_cpu (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.0987589Z   test_asin_arcsin_cpu_float32 (__main__.TestSparseCPU) ... ok (0.020s)
2023-01-11T21:06:43.0987715Z   test_asin_arcsin_cpu_float64 (__main__.TestSparseCPU) ... ok (0.020s)
2023-01-11T21:06:43.0987843Z   test_asin_arcsin_cpu_int16 (__main__.TestSparseCPU) ... ok (0.092s)
2023-01-11T21:06:43.0987971Z   test_asin_arcsin_cpu_int32 (__main__.TestSparseCPU) ... ok (0.092s)
2023-01-11T21:06:43.0988092Z   test_asin_arcsin_cpu_int64 (__main__.TestSparseCPU) ... ok (0.092s)
2023-01-11T21:06:43.0988212Z   test_asin_arcsin_cpu_int8 (__main__.TestSparseCPU) ... ok (0.115s)
2023-01-11T21:06:43.0988331Z   test_asin_arcsin_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.104s)
2023-01-11T21:06:43.0988442Z   test_assign_cpu_float64 (__main__.TestSparseCPU) ... ok (0.003s)
2023-01-11T21:06:43.0988561Z   test_basic_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.049s)
2023-01-11T21:06:43.0988678Z   test_basic_cpu_float64 (__main__.TestSparseCPU) ... ok (0.048s)
2023-01-11T21:06:43.0988802Z   test_basic_ops_cpu_float64 (__main__.TestSparseCPU) ... ok (0.245s)
2023-01-11T21:06:43.0988916Z   test_bmm_cpu_float64 (__main__.TestSparseCPU) ... ok (2.050s)
2023-01-11T21:06:43.0989081Z   test_bmm_cuda_version_error_cpu_float64 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.0989370Z   test_bmm_deterministic_cpu_float64 (__main__.TestSparseCPU) ... skip: bmm sparse-dense requires CUDA 10.1 or greater (0.002s)
2023-01-11T21:06:43.0989716Z   test_bmm_windows_error_cpu_float64 (__main__.TestSparseCPU) ... skip: this test ensures bmm sparse-dense CUDA gives an error when run on Windows with CUDA < 11.0 (0.001s)
2023-01-11T21:06:43.0989841Z   test_cat_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.047s)
2023-01-11T21:06:43.0989950Z   test_cat_cpu_float64 (__main__.TestSparseCPU) ... ok (0.045s)
2023-01-11T21:06:43.0990090Z   test_change_tensor_metadata_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.005s)
2023-01-11T21:06:43.0990228Z   test_change_tensor_metadata_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.0990355Z   test_clone_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.0990471Z   test_clone_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.0990596Z   test_coalesce_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.013s)
2023-01-11T21:06:43.0990720Z   test_coalesce_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.013s)
2023-01-11T21:06:43.0990847Z   test_coalesce_cpu_float64 (__main__.TestSparseCPU) ... ok (0.012s)
2023-01-11T21:06:43.0990983Z   test_coalesce_reference_cycle_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.0991120Z   test_coalesce_transpose_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.048s)
2023-01-11T21:06:43.0991255Z   test_constructor_device_legacy_cpu (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.0991382Z   test_contig_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.0991497Z   test_contig_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.0991627Z   test_contig_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.0991759Z   test_contig_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.0991924Z   test_ctor_large_sizes_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s)
2023-01-11T21:06:43.0992051Z   test_ctor_size_checks_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.0992210Z   test_ctor_size_checks_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.0992356Z   test_cuda_empty_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.0992486Z   test_div_by_sparse_error_cpu (__main__.TestSparseCPU) ... ok (0.005s)
2023-01-11T21:06:43.0992622Z   test_div_rounding_mode_cpu_float32 (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.0992758Z   test_div_rounding_mode_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.0992880Z   test_dsmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.056s)
2023-01-11T21:06:43.0993069Z   test_dtypes_cpu (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0993184Z   test_empty_full_cpu (__main__.TestSparseCPU) ... ok (0.008s)
2023-01-11T21:06:43.0993316Z   test_empty_like_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.056s)
2023-01-11T21:06:43.0993445Z   test_empty_like_cpu_float64 (__main__.TestSparseCPU) ... ok (0.055s)
2023-01-11T21:06:43.0993570Z   test_factory_copy_cpu (__main__.TestSparseCPU) ... ok (0.005s)
2023-01-11T21:06:43.0993703Z   test_factory_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.010s)
2023-01-11T21:06:43.0993832Z   test_factory_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.0993958Z   test_factory_cpu_float16 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.0994067Z   test_factory_cpu_float32 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.0994189Z   test_factory_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.0994311Z   test_factory_default_cpu (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.0994453Z   test_factory_dense_dim_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.015s)
2023-01-11T21:06:43.0994588Z   test_factory_dense_dim_cpu_float64 (__main__.TestSparseCPU) ... ok (0.015s)
2023-01-11T21:06:43.0994762Z   test_factory_device_type_inference_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.0994899Z   test_factory_empty_indices_cpu (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0995035Z   test_factory_nnz_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.015s)
2023-01-11T21:06:43.0995151Z   test_factory_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.015s)
2023-01-11T21:06:43.0995291Z   test_factory_nnz_zero_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.0995426Z   test_factory_nnz_zero_cpu_float64 (__main__.TestSparseCPU) ... ok (0.003s)
2023-01-11T21:06:43.0995568Z   test_factory_size_check_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.0995705Z   test_factory_size_check_cpu_float64 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.0995847Z   test_factory_type_inference_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0995988Z   test_factory_type_inference_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0996128Z   test_factory_type_inference_cpu_float16 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0996256Z   test_factory_type_inference_cpu_float32 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0996392Z   test_factory_type_inference_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0996532Z   test_factory_type_inference_cpu_int64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0996667Z   test_floor_divide_by_sparse_error_cpu (__main__.TestSparseCPU) ... ok (0.005s)
2023-01-11T21:06:43.0996807Z   test_full_broadcast_to_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.044s)
2023-01-11T21:06:43.0996937Z   test_full_broadcast_to_cpu_float64 (__main__.TestSparseCPU) ... ok (0.043s)
2023-01-11T21:06:43.0997058Z   test_hsmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.049s)
2023-01-11T21:06:43.0997222Z   test_index_select_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.233s)
2023-01-11T21:06:43.0997346Z   test_index_select_cpu_float64 (__main__.TestSparseCPU) ... ok (0.158s)
2023-01-11T21:06:43.0997537Z   test_index_select_empty_and_non_contiguous_index_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.028s)
2023-01-11T21:06:43.0997709Z   test_index_select_empty_and_non_contiguous_index_cpu_float64 (__main__.TestSparseCPU) ... ok (0.020s)
2023-01-11T21:06:43.0997868Z   test_index_select_exhaustive_index_large_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.434s)
2023-01-11T21:06:43.0998026Z   test_index_select_exhaustive_index_large_cpu_float64 (__main__.TestSparseCPU) ... ok (0.337s)
2023-01-11T21:06:43.0998181Z   test_index_select_exhaustive_index_small_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.337s)
2023-01-11T21:06:43.0998334Z   test_index_select_exhaustive_index_small_cpu_float64 (__main__.TestSparseCPU) ... ok (0.255s)
2023-01-11T21:06:43.0998474Z   test_index_select_parallelization_cpu_complex128 (__main__.TestSparseCPU)
2023-01-11T21:06:43.0998619Z Test with sizes that will trigger parallelization (i.e. with sizes ... ok (0.134s)
2023-01-11T21:06:43.0998751Z   test_index_select_parallelization_cpu_float64 (__main__.TestSparseCPU)
2023-01-11T21:06:43.0998895Z Test with sizes that will trigger parallelization (i.e. with sizes ... ok (0.124s)
2023-01-11T21:06:43.0999008Z   test_is_nonzero_cpu (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.0999121Z   test_is_sparse_cpu (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.0999234Z   test_isnan_cpu (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.0999667Z   test_legacy_constructor_cpu (__main__.TestSparseCPU) ... test_sparse.py:2817: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:06:43.0999828Z   self.assertRaises(TypeError, lambda: torch.sparse.FloatTensor(v.storage()))
2023-01-11T21:06:43.0999888Z ok (0.005s)
2023-01-11T21:06:43.1000318Z   test_legacy_new_cpu (__main__.TestSparseCPU) ... test_sparse.py:2829: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:06:43.1000439Z   self.assertRaises(TypeError, lambda: s.new(v.storage()))
2023-01-11T21:06:43.1000492Z ok (0.005s)
2023-01-11T21:06:43.1000614Z   test_log1p_cpu_float32 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1000732Z   test_log1p_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1000849Z   test_log1p_cpu_int16 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.1000970Z   test_log1p_cpu_int32 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.1001093Z   test_log1p_cpu_int64 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.1001213Z   test_log1p_cpu_int8 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.1001322Z   test_log1p_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.026s)
2023-01-11T21:06:43.1001444Z   test_mm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.586s)
2023-01-11T21:06:43.1001561Z   test_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.287s)
2023-01-11T21:06:43.1001681Z   test_mv_cpu_float64 (__main__.TestSparseCPU) ... ok (0.034s)
2023-01-11T21:06:43.1001810Z   test_narrow_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.076s)
2023-01-11T21:06:43.1001934Z   test_narrow_cpu_float64 (__main__.TestSparseCPU) ... ok (0.071s)
2023-01-11T21:06:43.1002069Z   test_neg_negative_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.010s)
2023-01-11T21:06:43.1002201Z   test_neg_negative_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1002364Z   test_new_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.005s)
2023-01-11T21:06:43.1002484Z   test_new_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.1002675Z   test_new_device_multi_gpu_cpu (__main__.TestSparseCPU) ... skip: only one GPU detected (0.000s)
2023-01-11T21:06:43.1002834Z   test_new_device_single_gpu_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.1002962Z   test_norm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.039s)
2023-01-11T21:06:43.1003083Z   test_norm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.039s)
2023-01-11T21:06:43.1003214Z   test_permute_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.379s)
2023-01-11T21:06:43.1003340Z   test_permute_cpu_float64 (__main__.TestSparseCPU) ... ok (0.325s)
2023-01-11T21:06:43.1003637Z   test_pickle_cpu_float64 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.1003784Z   test_print_coalesced_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1003926Z   test_print_uncoalesced_cpu_float64 (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.1004045Z   test_resize_as_cpu (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1004177Z   test_resize_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1004302Z   test_resize_cpu_float64 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1004430Z   test_saddmm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.248s)
2023-01-11T21:06:43.1004553Z   test_saddmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.128s)
2023-01-11T21:06:43.1004685Z   test_same_gpu_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:06:43.1004812Z   test_scalar_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.1004937Z   test_scalar_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s)
2023-01-11T21:06:43.1005066Z   test_select_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.271s)
2023-01-11T21:06:43.1005189Z   test_select_cpu_float64 (__main__.TestSparseCPU) ... ok (0.181s)
2023-01-11T21:06:43.1005334Z   test_select_no_type_promotion_cpu_int16 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1005473Z   test_select_no_type_promotion_cpu_int32 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1005611Z   test_select_no_type_promotion_cpu_int64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1005741Z   test_select_no_type_promotion_cpu_int8 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1005882Z   test_select_no_type_promotion_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1006009Z   test_shared_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1006132Z   test_shared_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1006264Z   test_small_nnz_coalesced_cpu (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.1006389Z   test_softmax_cpu_float64 (__main__.TestSparseCPU) ... ok (0.550s)
2023-01-11T21:06:43.1006526Z   test_softmax_zero_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.1006652Z   test_spadd_cpu_float64 (__main__.TestSparseCPU) ... ok (0.115s)
2023-01-11T21:06:43.1006785Z   test_sparse_add_coalesce_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1006928Z   test_sparse_add_coalesce_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1007068Z   test_sparse_add_coalesce_cpu_float32 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1007207Z   test_sparse_add_coalesce_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.1007375Z   test_sparse_add_out_bfloat16_cpu_complex128 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.1007543Z   test_sparse_add_out_bfloat16_cpu_float64 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.1007760Z   test_sparse_addmm_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s)
2023-01-11T21:06:43.1008027Z   test_sparse_addmm_cpu_complex128 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s)
2023-01-11T21:06:43.1008261Z   test_sparse_addmm_cpu_float64 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s)
2023-01-11T21:06:43.1008386Z   test_sparse_bool_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.1008517Z   test_sparse_bool_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s)
2023-01-11T21:06:43.1008662Z   test_sparse_broadcast_to_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.1008800Z   test_sparse_broadcast_to_cpu_float64 (__main__.TestSparseCPU) ... ok (0.010s)
2023-01-11T21:06:43.1009024Z   test_sparse_dense_mul_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.bfloat16, device=cpu runs only with coalesced inputs (0.064s)
2023-01-11T21:06:43.1009158Z   test_sparse_dense_mul_cpu_bool (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1009299Z   test_sparse_dense_mul_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.148s)
2023-01-11T21:06:43.1009438Z   test_sparse_dense_mul_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.151s)
2023-01-11T21:06:43.1009645Z   test_sparse_dense_mul_cpu_float16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.float16, device=cpu runs only with coalesced inputs (0.066s)
2023-01-11T21:06:43.1009780Z   test_sparse_dense_mul_cpu_float32 (__main__.TestSparseCPU) ... ok (0.137s)
2023-01-11T21:06:43.1009915Z   test_sparse_dense_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.133s)
2023-01-11T21:06:43.1010046Z   test_sparse_dense_mul_cpu_int16 (__main__.TestSparseCPU) ... ok (0.108s)
2023-01-11T21:06:43.1010178Z   test_sparse_dense_mul_cpu_int32 (__main__.TestSparseCPU) ... ok (0.112s)
2023-01-11T21:06:43.1010306Z   test_sparse_dense_mul_cpu_int64 (__main__.TestSparseCPU) ... ok (0.104s)
2023-01-11T21:06:43.1010437Z   test_sparse_dense_mul_cpu_int8 (__main__.TestSparseCPU) ... ok (0.161s)
2023-01-11T21:06:43.1010567Z   test_sparse_dense_mul_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.109s)
2023-01-11T21:06:43.1010685Z   test_sparse_mask_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.031s)
2023-01-11T21:06:43.1010818Z   test_sparse_mask_cpu_float64 (__main__.TestSparseCPU) ... ok (0.027s)
2023-01-11T21:06:43.1010962Z   test_sparse_mask_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.045s)
2023-01-11T21:06:43.1011099Z   test_sparse_mask_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.040s)
2023-01-11T21:06:43.1011224Z   test_sparse_matmul_cpu_complex128 (__main__.TestSparseCPU)
2023-01-11T21:06:43.1011391Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (2.888s)
2023-01-11T21:06:43.1011514Z   test_sparse_matmul_cpu_complex64 (__main__.TestSparseCPU)
2023-01-11T21:06:43.1011678Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (0.378s)
2023-01-11T21:06:43.1011787Z   test_sparse_matmul_cpu_float32 (__main__.TestSparseCPU)
2023-01-11T21:06:43.1011948Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (0.398s)
2023-01-11T21:06:43.1012069Z   test_sparse_matmul_cpu_float64 (__main__.TestSparseCPU)
2023-01-11T21:06:43.1012230Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (1.576s)
2023-01-11T21:06:43.1012358Z   test_sparse_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.013s)
2023-01-11T21:06:43.1012486Z   test_sparse_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.1012708Z   test_sparse_sparse_mul_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.bfloat16, device=cpu runs only with coalesced inputs (0.014s)
2023-01-11T21:06:43.1012852Z   test_sparse_sparse_mul_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.036s)
2023-01-11T21:06:43.1012993Z   test_sparse_sparse_mul_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.036s)
2023-01-11T21:06:43.1013147Z   test_sparse_sparse_mul_cpu_float32 (__main__.TestSparseCPU) ... ok (0.033s)
2023-01-11T21:06:43.1013281Z   test_sparse_sparse_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.033s)
2023-01-11T21:06:43.1013446Z   test_sparse_sparse_mul_cpu_int16 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1013580Z   test_sparse_sparse_mul_cpu_int32 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1013709Z   test_sparse_sparse_mul_cpu_int64 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1013841Z   test_sparse_sparse_mul_cpu_int8 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1013974Z   test_sparse_sparse_mul_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.029s)
2023-01-11T21:06:43.1014106Z   test_sparse_spdiags_cpu_bool (__main__.TestSparseCPU) ... ok (0.044s)
2023-01-11T21:06:43.1014231Z   test_sparse_spdiags_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.053s)
2023-01-11T21:06:43.1014369Z   test_sparse_spdiags_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.053s)
2023-01-11T21:06:43.1014504Z   test_sparse_spdiags_cpu_float32 (__main__.TestSparseCPU) ... ok (0.049s)
2023-01-11T21:06:43.1014639Z   test_sparse_spdiags_cpu_float64 (__main__.TestSparseCPU) ... ok (0.048s)
2023-01-11T21:06:43.1014774Z   test_sparse_spdiags_cpu_int16 (__main__.TestSparseCPU) ... ok (0.043s)
2023-01-11T21:06:43.1014905Z   test_sparse_spdiags_cpu_int32 (__main__.TestSparseCPU) ... ok (0.043s)
2023-01-11T21:06:43.1015035Z   test_sparse_spdiags_cpu_int64 (__main__.TestSparseCPU) ... ok (0.043s)
2023-01-11T21:06:43.1015166Z   test_sparse_spdiags_cpu_int8 (__main__.TestSparseCPU) ... ok (0.043s)
2023-01-11T21:06:43.1015283Z   test_sparse_spdiags_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.043s)
2023-01-11T21:06:43.1015412Z   test_sparse_sum_cpu_float64 (__main__.TestSparseCPU) ... ok (0.102s)
2023-01-11T21:06:43.1015539Z   test_sparse_to_numpy_cpu (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1015670Z   test_sspaddmm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.181s)
2023-01-11T21:06:43.1015800Z   test_sspaddmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.096s)
2023-01-11T21:06:43.1015952Z   test_storage_not_null_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:06:43.1016074Z   test_sum_cpu_bool (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.1016197Z   test_sum_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.1016308Z   test_sum_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.1016426Z   test_sum_cpu_float32 (__main__.TestSparseCPU) ... ok (0.010s)
2023-01-11T21:06:43.1016544Z   test_sum_cpu_float64 (__main__.TestSparseCPU) ... ok (0.010s)
2023-01-11T21:06:43.1016661Z   test_sum_cpu_int16 (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.1016777Z   test_sum_cpu_int32 (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.1016891Z   test_sum_cpu_int64 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.1017009Z   test_sum_cpu_int8 (__main__.TestSparseCPU) ... ok (0.007s)
2023-01-11T21:06:43.1017114Z   test_sum_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.1017245Z   test_t_empty_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1017371Z   test_t_empty_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s)
2023-01-11T21:06:43.1017500Z   test_to_dense_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1017629Z   test_to_dense_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1017757Z   test_to_dense_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.009s)
2023-01-11T21:06:43.1017884Z   test_to_dense_cpu_float16 (__main__.TestSparseCPU) ... ok (0.010s)
2023-01-11T21:06:43.1018008Z   test_to_dense_cpu_float32 (__main__.TestSparseCPU) ... ok (0.013s)
2023-01-11T21:06:43.1018117Z   test_to_dense_cpu_float64 (__main__.TestSparseCPU) ... ok (0.014s)
2023-01-11T21:06:43.1018254Z   test_to_dense_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s)
2023-01-11T21:06:43.1018420Z   test_to_dense_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s)
2023-01-11T21:06:43.1018549Z   test_to_sparse_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.091s)
2023-01-11T21:06:43.1018707Z   test_to_sparse_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.089s)
2023-01-11T21:06:43.1018839Z   test_to_sparse_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.089s)
2023-01-11T21:06:43.1018965Z   test_to_sparse_cpu_float16 (__main__.TestSparseCPU) ... ok (0.091s)
2023-01-11T21:06:43.1019090Z   test_to_sparse_cpu_float64 (__main__.TestSparseCPU) ... ok (0.086s)
2023-01-11T21:06:43.1019200Z   test_to_sparse_cpu_int32 (__main__.TestSparseCPU) ... ok (0.073s)
2023-01-11T21:06:43.1019331Z   test_transpose_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.019s)
2023-01-11T21:06:43.1019456Z   test_transpose_cpu_float64 (__main__.TestSparseCPU) ... ok (0.017s)
2023-01-11T21:06:43.1019584Z   test_unsqueeze_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.058s)
2023-01-11T21:06:43.1019714Z   test_unsqueeze_cpu_float64 (__main__.TestSparseCPU) ... ok (0.051s)
2023-01-11T21:06:43.1019838Z   test_zeros_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.162s)
2023-01-11T21:06:43.1019961Z   test_zeros_cpu_float64 (__main__.TestSparseCPU) ... ok (0.178s)
2023-01-11T21:06:43.1020092Z   test_zeros_like_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.175s)
2023-01-11T21:06:43.1020207Z   test_zeros_like_cpu_float64 (__main__.TestSparseCPU) ... ok (0.172s)
2023-01-11T21:06:43.1020378Z   test_future_empty_dim_masked_amax_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1020521Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1020690Z   test_future_empty_dim_masked_amax_cpu_float16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1020831Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1020995Z   test_future_empty_dim_masked_amax_cpu_float32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1021134Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1021304Z   test_future_empty_dim_masked_amax_cpu_float64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1021433Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s)
2023-01-11T21:06:43.1021596Z   test_future_empty_dim_masked_amax_cpu_int16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1021733Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1021893Z   test_future_empty_dim_masked_amax_cpu_int32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1022027Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s)
2023-01-11T21:06:43.1022190Z   test_future_empty_dim_masked_amax_cpu_int64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1022328Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s)
2023-01-11T21:06:43.1022493Z   test_future_empty_dim_masked_amax_cpu_int8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1022620Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1022786Z   test_future_empty_dim_masked_amax_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1022922Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s)
2023-01-11T21:06:43.1023090Z   test_future_empty_dim_masked_amin_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1023226Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1023389Z   test_future_empty_dim_masked_amin_cpu_float16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1023526Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1023687Z   test_future_empty_dim_masked_amin_cpu_float32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1023840Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1024005Z   test_future_empty_dim_masked_amin_cpu_float64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1024170Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1024333Z   test_future_empty_dim_masked_amin_cpu_int16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1024469Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1024626Z   test_future_empty_dim_masked_amin_cpu_int32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1024761Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1024924Z   test_future_empty_dim_masked_amin_cpu_int64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1025063Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1025216Z   test_future_empty_dim_masked_amin_cpu_int8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1025357Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1025522Z   test_future_empty_dim_masked_amin_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1025659Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1025829Z   test_future_empty_dim_masked_prod_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1025967Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1026131Z   test_future_empty_dim_masked_prod_cpu_bool (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1026271Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.012s)
2023-01-11T21:06:43.1026430Z   test_future_empty_dim_masked_prod_cpu_complex128 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1026565Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1026735Z   test_future_empty_dim_masked_prod_cpu_complex64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1026870Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1027035Z   test_future_empty_dim_masked_prod_cpu_float32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1027168Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1027331Z   test_future_empty_dim_masked_prod_cpu_float64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1027468Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s)
2023-01-11T21:06:43.1027616Z   test_future_empty_dim_masked_prod_cpu_int16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1027751Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s)
2023-01-11T21:06:43.1027913Z   test_future_empty_dim_masked_prod_cpu_int32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1028048Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s)
2023-01-11T21:06:43.1028208Z   test_future_empty_dim_masked_prod_cpu_int64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1028345Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.013s)
2023-01-11T21:06:43.1028507Z   test_future_empty_dim_masked_prod_cpu_int8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1028643Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1028812Z   test_future_empty_dim_masked_prod_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1028948Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.014s)
2023-01-11T21:06:43.1029115Z   test_future_empty_dim_masked_sum_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1029282Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.020s)
2023-01-11T21:06:43.1029444Z   test_future_empty_dim_masked_sum_cpu_bool (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1029607Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1029779Z   test_future_empty_dim_masked_sum_cpu_complex128 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1029914Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1030081Z   test_future_empty_dim_masked_sum_cpu_complex64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1030204Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s)
2023-01-11T21:06:43.1030369Z   test_future_empty_dim_masked_sum_cpu_float16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1030504Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.020s)
2023-01-11T21:06:43.1030666Z   test_future_empty_dim_masked_sum_cpu_float32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1030803Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.020s)
2023-01-11T21:06:43.1030969Z   test_future_empty_dim_masked_sum_cpu_float64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1031105Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.021s)
2023-01-11T21:06:43.1031267Z   test_future_empty_dim_masked_sum_cpu_int16 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1031390Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1031553Z   test_future_empty_dim_masked_sum_cpu_int32 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1031689Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1031852Z   test_future_empty_dim_masked_sum_cpu_int64 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1031988Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1032153Z   test_future_empty_dim_masked_sum_cpu_int8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1032290Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1032451Z   test_future_empty_dim_masked_sum_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU)
2023-01-11T21:06:43.1032573Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s)
2023-01-11T21:06:43.1032686Z   test_basic (__main__.TestSparseMeta) ... ok (0.003s)
2023-01-11T21:06:43.1032836Z   test_cuda_from_cpu (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s)
2023-01-11T21:06:43.1033077Z   test_cuda_sparse_cpu_dense_add (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s)
2023-01-11T21:06:43.1033446Z   test_inplace_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: In-place abs not supported for complex tensors (0.001s)
2023-01-11T21:06:43.1033766Z   test_inplace_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: In-place abs not supported for complex tensors (0.001s)
2023-01-11T21:06:43.1033918Z   test_inplace_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1034068Z   test_inplace_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1034218Z   test_inplace_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1034354Z   test_inplace_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1034502Z   test_inplace_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1034649Z   test_inplace_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1034797Z   test_inplace_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1034953Z   test_inplace_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1035145Z   test_inplace_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1035298Z   test_inplace_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1035475Z   test_inplace_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1035614Z   test_inplace_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1035764Z   test_inplace_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1035912Z   test_inplace_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1036059Z   test_inplace_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1036209Z   test_inplace_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1036368Z   test_inplace_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1036524Z   test_inplace_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1036677Z   test_inplace_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1036816Z   test_inplace_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1036967Z   test_inplace_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1037113Z   test_inplace_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1037257Z   test_inplace_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1037404Z   test_inplace_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1037554Z   test_inplace_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1037712Z   test_inplace_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1037871Z   test_inplace_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1038010Z   test_inplace_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1038160Z   test_inplace_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1038310Z   test_inplace_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1038458Z   test_inplace_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1038607Z   test_inplace_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1038756Z   test_inplace_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1038907Z   test_inplace_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1039066Z   test_inplace_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1039223Z   test_inplace_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1039363Z   test_inplace_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1039512Z   test_inplace_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1039663Z   test_inplace_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1039812Z   test_inplace_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1039955Z   test_inplace_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1040102Z   test_inplace_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1040254Z   test_inplace_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1040405Z   test_inplace_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1040574Z   test_inplace_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1040722Z   test_inplace_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1040901Z   test_inplace_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1041049Z   test_inplace_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1041196Z   test_inplace_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1041343Z   test_inplace_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1041537Z   test_inplace_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1041729Z   test_inplace_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1041905Z   test_inplace_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1042096Z   test_inplace_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1042282Z   test_inplace_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1042466Z   test_inplace_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1042649Z   test_inplace_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1042833Z   test_inplace_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1043012Z   test_inplace_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1043242Z   test_inplace_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1043660Z   test_inplace_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1043893Z   test_inplace_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1044096Z   test_inplace_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1044314Z   test_inplace_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1044532Z   test_inplace_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1044750Z   test_inplace_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1044970Z   test_inplace_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1045190Z   test_inplace_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s)
2023-01-11T21:06:43.1045347Z   test_inplace_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1045505Z   test_inplace_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1045661Z   test_inplace_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1045811Z   test_inplace_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1045945Z   test_inplace_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1046169Z   test_inplace_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1046321Z   test_inplace_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1046509Z   test_inplace_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1046660Z   test_inplace_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1046810Z   test_inplace_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1046962Z   test_inplace_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1047110Z   test_inplace_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1047246Z   test_inplace_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1047393Z   test_inplace_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1047547Z   test_inplace_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1047699Z   test_inplace_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1047854Z   test_inplace_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:06:43.1048004Z   test_inplace_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:06:43.1048149Z   test_inplace_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:06:43.1048299Z   test_inplace_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:06:43.1048435Z   test_inplace_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:06:43.1048588Z   test_inplace_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1048739Z   test_inplace_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1048890Z   test_inplace_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049039Z   test_inplace_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049185Z   test_inplace_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049334Z   test_inplace_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049486Z   test_inplace_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049625Z   test_inplace_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049776Z   test_inplace_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1049968Z   test_inplace_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.002s)
2023-01-11T21:06:43.1050158Z   test_inplace_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.002s)
2023-01-11T21:06:43.1050349Z   test_inplace_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.002s)
2023-01-11T21:06:43.1050532Z   test_inplace_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.002s)
2023-01-11T21:06:43.1050718Z   test_inplace_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1050903Z   test_inplace_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1051087Z   test_inplace_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1051271Z   test_inplace_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1051441Z   test_inplace_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1051680Z   test_inplace_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1051870Z   test_inplace_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1052084Z   test_inplace_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1052271Z   test_inplace_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1052454Z   test_inplace_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1052640Z   test_inplace_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1052820Z   test_inplace_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1053001Z   test_inplace_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1053171Z   test_inplace_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1053363Z   test_inplace_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1053550Z   test_inplace_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1053742Z   test_inplace_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1053926Z   test_inplace_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1054108Z   test_inplace_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1054295Z   test_inplace_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1054485Z   test_inplace_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1054677Z   test_inplace_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1054864Z   test_inplace_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1055037Z   test_inplace_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1055223Z   test_inplace_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1055401Z   test_inplace_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1055588Z   test_inplace_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1055775Z   test_inplace_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1055935Z   test_inplace_log1p_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1056093Z   test_inplace_log1p_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1056249Z   test_inplace_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1056390Z   test_inplace_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1056541Z   test_inplace_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1056688Z   test_inplace_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1056833Z   test_inplace_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1057012Z   test_inplace_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1057163Z   test_inplace_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1057350Z   test_inplace_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1057510Z   test_inplace_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1057669Z   test_inplace_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1057811Z   test_inplace_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1057961Z   test_inplace_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1058113Z   test_inplace_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1058268Z   test_inplace_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1058425Z   test_inplace_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1058578Z   test_inplace_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1058728Z   test_inplace_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1058879Z   test_inplace_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1059014Z   test_inplace_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1059163Z   test_inplace_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1059309Z   test_inplace_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1059456Z   test_inplace_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1059601Z   test_inplace_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1059807Z   test_inplace_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1060009Z   test_inplace_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1060209Z   test_inplace_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1060407Z   test_inplace_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1060591Z   test_inplace_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1060790Z   test_inplace_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1060978Z   test_inplace_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1061171Z   test_inplace_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1061358Z   test_inplace_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1061543Z   test_inplace_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1061729Z   test_inplace_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1061917Z   test_inplace_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1062104Z   test_inplace_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1062288Z   test_inplace_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1062495Z   test_inplace_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1062707Z   test_inplace_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1062869Z   test_inplace_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1063026Z   test_inplace_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1063180Z   test_inplace_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1063331Z   test_inplace_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1063485Z   test_inplace_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1063639Z   test_inplace_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1063782Z   test_inplace_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:06:43.1063933Z   test_inplace_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1064084Z   test_inplace_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1064234Z   test_inplace_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1064382Z   test_inplace_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1064532Z   test_inplace_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1064683Z   test_inplace_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1064834Z   test_inplace_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1064976Z   test_inplace_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1065131Z   test_inplace_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1065278Z   test_inplace_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1065430Z   test_inplace_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1065581Z   test_inplace_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1065729Z   test_inplace_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1065876Z   test_inplace_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1066023Z   test_inplace_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1066169Z   test_inplace_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1066308Z   test_inplace_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1066457Z   test_inplace_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1066607Z   test_inplace_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1066756Z   test_inplace_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1066905Z   test_inplace_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1067052Z   test_inplace_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1067197Z   test_inplace_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1067385Z   test_inplace_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1067559Z   test_inplace_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1067747Z   test_inplace_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1067962Z   test_inplace_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1068186Z   test_inplace_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1068373Z   test_inplace_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1068561Z   test_inplace_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1068716Z   test_inplace_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1068869Z   test_inplace_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1069021Z   test_inplace_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1069157Z   test_inplace_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1069308Z   test_inplace_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1069457Z   test_inplace_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1069605Z   test_inplace_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1069752Z   test_inplace_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1069896Z   test_inplace_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1070057Z   test_inplace_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1070211Z   test_inplace_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1070350Z   test_inplace_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1070498Z   test_inplace_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1070646Z   test_inplace_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1070795Z   test_inplace_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1070947Z   test_inplace_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1071093Z   test_inplace_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1071242Z   test_inplace_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1071398Z   test_inplace_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1071541Z   test_inplace_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1071691Z   test_inplace_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1071837Z   test_inplace_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1071985Z   test_inplace_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1072130Z   test_inplace_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1072278Z   test_inplace_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1072425Z   test_inplace_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1072569Z   test_inplace_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1072723Z   test_inplace_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1072864Z   test_inplace_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1073088Z   test_inplace_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1073240Z   test_inplace_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1073430Z   test_inplace_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1073575Z   test_inplace_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1073755Z   test_inplace_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1073906Z   test_inplace_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1074054Z   test_inplace_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1074198Z   test_inplace_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1074354Z   test_inplace_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1074507Z   test_inplace_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1074653Z   test_inplace_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1074806Z   test_inplace_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1074952Z   test_inplace_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1075103Z   test_inplace_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1075248Z   test_inplace_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1075381Z   test_inplace_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1075535Z   test_inplace_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1075685Z   test_inplace_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1075836Z   test_inplace_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1075983Z   test_inplace_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1076134Z   test_inplace_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1076284Z   test_inplace_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1076439Z   test_inplace_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1076574Z   test_out_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1076723Z   test_out_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1076869Z   test_out_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077013Z   test_out_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077155Z   test_out_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077297Z   test_out_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077436Z   test_out_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077579Z   test_out_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077707Z   test_out_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1077860Z   test_out_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1078008Z   test_out_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1078154Z   test_out_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1078300Z   test_out_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1078443Z   test_out_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1078585Z   test_out_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1078727Z   test_out_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1078888Z   test_out_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1079030Z   test_out_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1079211Z   test_out_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1079363Z   test_out_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1079510Z   test_out_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1079656Z   test_out_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1079799Z   test_out_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1079977Z   test_out_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1080120Z   test_out_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1080249Z   test_out_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1080396Z   test_out_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1080547Z   test_out_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1080698Z   test_out_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1080844Z   test_out_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1080988Z   test_out_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1081131Z   test_out_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1081272Z   test_out_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1081401Z   test_out_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1081544Z   test_out_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1081686Z   test_out_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1081838Z   test_out_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1081989Z   test_out_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1082136Z   test_out_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1082284Z   test_out_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1082427Z   test_out_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1082559Z   test_out_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1082702Z   test_out_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1082841Z   test_out_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1082985Z   test_out_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1083133Z   test_out_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1083284Z   test_out_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1083616Z   test_out_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1083771Z   test_out_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1083899Z   test_out_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1084043Z   test_out_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1084185Z   test_out_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1084373Z   test_out_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1084561Z   test_out_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1084809Z   test_out_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1085057Z   test_out_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1085239Z   test_out_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1085421Z   test_out_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1085582Z   test_out_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1085763Z   test_out_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1085937Z   test_out_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1086104Z   test_out_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1086265Z   test_out_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1086425Z   test_out_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1086582Z   test_out_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1086736Z   test_out_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1086874Z   test_out_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1087031Z   test_out_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1087187Z   test_out_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1087341Z   test_out_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1087497Z   test_out_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1087649Z   test_out_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1087797Z   test_out_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1087947Z   test_out_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1088096Z   test_out_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1088231Z   test_out_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1088381Z   test_out_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1088526Z   test_out_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1088669Z   test_out_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1088812Z   test_out_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1088953Z   test_out_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1089093Z   test_out_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1089235Z   test_out_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1089366Z   test_out_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1089514Z   test_out_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1089659Z   test_out_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1089803Z   test_out_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1089945Z   test_out_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1090122Z   test_out_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1090266Z   test_out_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1090434Z   test_out_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1090566Z   test_out_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1090711Z   test_out_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1090852Z   test_out_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1090991Z   test_out_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1091132Z   test_out_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1091276Z   test_out_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1091424Z   test_out_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1091574Z   test_out_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1091708Z   test_out_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1091900Z   test_out_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1092088Z   test_out_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1092274Z   test_out_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1092458Z   test_out_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1092637Z   test_out_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1092816Z   test_out_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1092995Z   test_out_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1093175Z   test_out_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1093339Z   test_out_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1093526Z   test_out_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1093709Z   test_out_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1093890Z   test_out_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1094071Z   test_out_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1094251Z   test_out_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1094432Z   test_out_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1094608Z   test_out_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1094784Z   test_out_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1094946Z   test_out_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1095101Z   test_out_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1095253Z   test_out_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1095404Z   test_out_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1095586Z   test_out_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1095733Z   test_out_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1095910Z   test_out_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096056Z   test_out_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096194Z   test_out_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096341Z   test_out_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096486Z   test_out_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096633Z   test_out_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096782Z   test_out_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1096930Z   test_out_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1097080Z   test_out_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1097236Z   test_out_log1p_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1097388Z   test_out_log1p_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1097525Z   test_out_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1097670Z   test_out_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1097815Z   test_out_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1097958Z   test_out_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1098100Z   test_out_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1098245Z   test_out_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1098389Z   test_out_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1098541Z   test_out_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1098680Z   test_out_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1098827Z   test_out_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1098970Z   test_out_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1099110Z   test_out_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1099257Z   test_out_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1099401Z   test_out_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1099548Z   test_out_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1099698Z   test_out_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1099833Z   test_out_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1099979Z   test_out_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1100121Z   test_out_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1100262Z   test_out_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1100406Z   test_out_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1100552Z   test_out_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1100692Z   test_out_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1100889Z   test_out_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1101108Z   test_out_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1101342Z   test_out_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1101537Z   test_out_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1101729Z   test_out_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1101917Z   test_out_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1102110Z   test_out_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1102302Z   test_out_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1102494Z   test_out_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1102682Z   test_out_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1102868Z   test_out_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1103040Z   test_out_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1103225Z   test_out_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1103408Z   test_out_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1103593Z   test_out_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1103773Z   test_out_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:06:43.1103928Z   test_out_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104077Z   test_out_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104226Z   test_out_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104377Z   test_out_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104514Z   test_out_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104661Z   test_out_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104809Z   test_out_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1104953Z   test_out_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105100Z   test_out_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105244Z   test_out_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105389Z   test_out_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105533Z   test_out_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105665Z   test_out_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105807Z   test_out_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1105958Z   test_out_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1106105Z   test_out_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1106247Z   test_out_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1106423Z   test_out_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1106566Z   test_out_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1106738Z   test_out_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1106864Z   test_out_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107005Z   test_out_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107146Z   test_out_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107294Z   test_out_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107439Z   test_out_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107581Z   test_out_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107722Z   test_out_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107867Z   test_out_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1107995Z   test_out_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1108137Z   test_out_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1108289Z   test_out_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1108436Z   test_out_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1108583Z   test_out_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1108727Z   test_out_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1108872Z   test_out_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1109019Z   test_out_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1109154Z   test_out_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1109307Z   test_out_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1109455Z   test_out_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1109599Z   test_out_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1109742Z   test_out_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1109881Z   test_out_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110023Z   test_out_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110161Z   test_out_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110288Z   test_out_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110425Z   test_out_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110576Z   test_out_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110726Z   test_out_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1110870Z   test_out_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1111014Z   test_out_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1111158Z   test_out_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1111299Z   test_out_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1111427Z   test_out_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1111568Z   test_out_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1111707Z   test_out_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1111893Z   test_out_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1112042Z   test_out_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1112214Z   test_out_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1112360Z   test_out_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1112503Z   test_out_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1112629Z   test_out_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1112768Z   test_out_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1112911Z   test_out_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1113117Z   test_out_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1113271Z   test_out_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1113423Z   test_out_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1113570Z   test_out_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1113715Z   test_out_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1113845Z   test_out_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1113985Z   test_out_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1114125Z   test_out_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1114268Z   test_out_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1114408Z   test_out_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1114568Z   test_out_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1114705Z   test_out_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1114849Z   test_out_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1114994Z   test_out_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1115135Z   test_out_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1115275Z   test_out_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1115414Z   test_out_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1115552Z   test_out_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1115688Z   test_out_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1115821Z   test_out_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1115966Z   test_out_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1116112Z   test_out_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1116256Z   test_out_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1116400Z   test_out_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1116539Z   test_out_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1116679Z   test_out_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1116848Z   test_sparse_consistency_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1117005Z   test_sparse_consistency_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1117173Z   test_sparse_consistency_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1117336Z   test_sparse_consistency_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1117533Z   test_sparse_consistency_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1117723Z   test_sparse_consistency_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1117880Z   test_sparse_consistency_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1118039Z   test_sparse_consistency_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1118196Z   test_sparse_consistency_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1118366Z   test_sparse_consistency_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1118522Z   test_sparse_consistency_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1118689Z   test_sparse_consistency_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1118853Z   test_sparse_consistency_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119016Z   test_sparse_consistency_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119173Z   test_sparse_consistency_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119332Z   test_sparse_consistency_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119491Z   test_sparse_consistency_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119647Z   test_sparse_consistency_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119818Z   test_sparse_consistency_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1119974Z   test_sparse_consistency_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1120141Z   test_sparse_consistency_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1120306Z   test_sparse_consistency_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1120470Z   test_sparse_consistency_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1120630Z   test_sparse_consistency_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1120791Z   test_sparse_consistency_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1120954Z   test_sparse_consistency_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1121112Z   test_sparse_consistency_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1121268Z   test_sparse_consistency_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1121436Z   test_sparse_consistency_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1121599Z   test_sparse_consistency_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1121763Z   test_sparse_consistency_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1121923Z   test_sparse_consistency_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1122078Z   test_sparse_consistency_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1122233Z   test_sparse_consistency_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1122393Z   test_sparse_consistency_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1122555Z   test_sparse_consistency_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1122712Z   test_sparse_consistency_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1122926Z   test_sparse_consistency_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1123120Z   test_sparse_consistency_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1123287Z   test_sparse_consistency_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1123625Z   test_sparse_consistency_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1123798Z   test_sparse_consistency_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1123956Z   test_sparse_consistency_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1124115Z   test_sparse_consistency_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1124266Z   test_sparse_consistency_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1124432Z   test_sparse_consistency_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1124597Z   test_sparse_consistency_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1124759Z   test_sparse_consistency_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1124920Z   test_sparse_consistency_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1125079Z   test_sparse_consistency_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1125242Z   test_sparse_consistency_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1125398Z   test_sparse_consistency_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1125565Z   test_sparse_consistency_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1125723Z   test_sparse_consistency_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1125885Z   test_sparse_consistency_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1126050Z   test_sparse_consistency_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1126210Z   test_sparse_consistency_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1126369Z   test_sparse_consistency_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1126524Z   test_sparse_consistency_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1126683Z   test_sparse_consistency_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1126840Z   test_sparse_consistency_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1127020Z   test_sparse_consistency_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1127189Z   test_sparse_consistency_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1127366Z   test_sparse_consistency_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1127538Z   test_sparse_consistency_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1127711Z   test_sparse_consistency_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1127877Z   test_sparse_consistency_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1128040Z   test_sparse_consistency_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1128211Z   test_sparse_consistency_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1128440Z   test_sparse_consistency_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1128608Z   test_sparse_consistency_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1128800Z   test_sparse_consistency_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1128972Z   test_sparse_consistency_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1129138Z   test_sparse_consistency_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1129303Z   test_sparse_consistency_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1129468Z   test_sparse_consistency_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1129632Z   test_sparse_consistency_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1129795Z   test_sparse_consistency_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1129960Z   test_sparse_consistency_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1130109Z   test_sparse_consistency_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1130267Z   test_sparse_consistency_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1130422Z   test_sparse_consistency_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1130579Z   test_sparse_consistency_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1130734Z   test_sparse_consistency_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1130898Z   test_sparse_consistency_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1131060Z   test_sparse_consistency_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1131223Z   test_sparse_consistency_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1131385Z   test_sparse_consistency_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1131530Z   test_sparse_consistency_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1131692Z   test_sparse_consistency_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1131852Z   test_sparse_consistency_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132014Z   test_sparse_consistency_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132176Z   test_sparse_consistency_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132334Z   test_sparse_consistency_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132493Z   test_sparse_consistency_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132650Z   test_sparse_consistency_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132800Z   test_sparse_consistency_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1132957Z   test_sparse_consistency_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1133119Z   test_sparse_consistency_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1133283Z   test_sparse_consistency_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1133452Z   test_sparse_consistency_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1133619Z   test_sparse_consistency_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1133817Z   test_sparse_consistency_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1133983Z   test_sparse_consistency_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1134172Z   test_sparse_consistency_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1134320Z   test_sparse_consistency_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1134479Z   test_sparse_consistency_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1134640Z   test_sparse_consistency_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1134798Z   test_sparse_consistency_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1134970Z   test_sparse_consistency_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1135138Z   test_sparse_consistency_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1135304Z   test_sparse_consistency_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1135469Z   test_sparse_consistency_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1135628Z   test_sparse_consistency_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1135778Z   test_sparse_consistency_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1135940Z   test_sparse_consistency_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1136100Z   test_sparse_consistency_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1136260Z   test_sparse_consistency_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1136431Z   test_sparse_consistency_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1136602Z   test_sparse_consistency_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1136772Z   test_sparse_consistency_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1136940Z   test_sparse_consistency_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1137093Z   test_sparse_consistency_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1137258Z   test_sparse_consistency_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1137423Z   test_sparse_consistency_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1137591Z   test_sparse_consistency_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1137753Z   test_sparse_consistency_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1137920Z   test_sparse_consistency_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1138089Z   test_sparse_consistency_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1138252Z   test_sparse_consistency_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1138415Z   test_sparse_consistency_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1138566Z   test_sparse_consistency_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1138737Z   test_sparse_consistency_log1p_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1138903Z   test_sparse_consistency_log1p_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1139064Z   test_sparse_consistency_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1139261Z   test_sparse_consistency_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1139421Z   test_sparse_consistency_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1139612Z   test_sparse_consistency_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1139772Z   test_sparse_consistency_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1139933Z   test_sparse_consistency_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1140081Z   test_sparse_consistency_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1140252Z   test_sparse_consistency_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1140416Z   test_sparse_consistency_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1140585Z   test_sparse_consistency_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1140750Z   test_sparse_consistency_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1140914Z   test_sparse_consistency_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1141078Z   test_sparse_consistency_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1141245Z   test_sparse_consistency_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1141409Z   test_sparse_consistency_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1141563Z   test_sparse_consistency_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1141725Z   test_sparse_consistency_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1141888Z   test_sparse_consistency_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1142048Z   test_sparse_consistency_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1142210Z   test_sparse_consistency_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1142369Z   test_sparse_consistency_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1142529Z   test_sparse_consistency_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1142686Z   test_sparse_consistency_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1142854Z   test_sparse_consistency_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1143035Z   test_sparse_consistency_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1143214Z   test_sparse_consistency_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1143393Z   test_sparse_consistency_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1143568Z   test_sparse_consistency_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1143743Z   test_sparse_consistency_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1143920Z   test_sparse_consistency_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1144094Z   test_sparse_consistency_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1144268Z   test_sparse_consistency_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1144424Z   test_sparse_consistency_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1144622Z   test_sparse_consistency_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1144785Z   test_sparse_consistency_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1144980Z   test_sparse_consistency_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1145147Z   test_sparse_consistency_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1145313Z   test_sparse_consistency_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1145477Z   test_sparse_consistency_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1145645Z   test_sparse_consistency_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1145812Z   test_sparse_consistency_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1145967Z   test_sparse_consistency_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1146130Z   test_sparse_consistency_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1146296Z   test_sparse_consistency_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1146461Z   test_sparse_consistency_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1146623Z   test_sparse_consistency_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1146784Z   test_sparse_consistency_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1146948Z   test_sparse_consistency_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1147109Z   test_sparse_consistency_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1147269Z   test_sparse_consistency_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1147421Z   test_sparse_consistency_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1147585Z   test_sparse_consistency_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1147743Z   test_sparse_consistency_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1147911Z   test_sparse_consistency_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1148075Z   test_sparse_consistency_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1148235Z   test_sparse_consistency_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1148395Z   test_sparse_consistency_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1148556Z   test_sparse_consistency_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1148708Z   test_sparse_consistency_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1148865Z   test_sparse_consistency_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1149023Z   test_sparse_consistency_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1149181Z   test_sparse_consistency_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1149343Z   test_sparse_consistency_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1149508Z   test_sparse_consistency_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1149668Z   test_sparse_consistency_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1149826Z   test_sparse_consistency_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1150017Z   test_sparse_consistency_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1150162Z   test_sparse_consistency_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1150347Z   test_sparse_consistency_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1150518Z   test_sparse_consistency_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1150684Z   test_sparse_consistency_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1150850Z   test_sparse_consistency_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1151015Z   test_sparse_consistency_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1151179Z   test_sparse_consistency_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1151341Z   test_sparse_consistency_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1151493Z   test_sparse_consistency_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1151663Z   test_sparse_consistency_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1151825Z   test_sparse_consistency_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1151988Z   test_sparse_consistency_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1152148Z   test_sparse_consistency_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1152304Z   test_sparse_consistency_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1152463Z   test_sparse_consistency_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1152619Z   test_sparse_consistency_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1152780Z   test_sparse_consistency_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1152923Z   test_sparse_consistency_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1153165Z   test_sparse_consistency_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1153335Z   test_sparse_consistency_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1153498Z   test_sparse_consistency_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1153660Z   test_sparse_consistency_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1153818Z   test_sparse_consistency_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1153977Z   test_sparse_consistency_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1154138Z   test_sparse_consistency_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1154295Z   test_sparse_consistency_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1154443Z   test_sparse_consistency_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1154610Z   test_sparse_consistency_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1154776Z   test_sparse_consistency_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1154937Z   test_sparse_consistency_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1155101Z   test_sparse_consistency_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1155259Z   test_sparse_consistency_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1155456Z   test_sparse_consistency_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1155614Z   test_sparse_consistency_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1155790Z   test_sparse_consistency_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1155950Z   test_sparse_consistency_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1156116Z   test_sparse_consistency_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1156280Z   test_sparse_consistency_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1156445Z   test_sparse_consistency_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1156605Z   test_sparse_consistency_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1156766Z   test_sparse_consistency_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1156927Z   test_sparse_consistency_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1157084Z   test_sparse_consistency_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1157231Z   test_sparse_consistency_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1157388Z   test_sparse_consistency_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1157558Z   test_sparse_consistency_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:06:43.1157725Z   test_sparse_consistency_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1157888Z   test_sparse_consistency_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158051Z   test_sparse_consistency_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158212Z   test_sparse_consistency_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158370Z   test_sparse_consistency_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158515Z   test_sparse_consistency_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158675Z   test_sparse_consistency_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158835Z   test_sparse_consistency_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1158998Z   test_sparse_consistency_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1159160Z   test_sparse_consistency_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1159320Z   test_sparse_consistency_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1159485Z   test_sparse_consistency_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1159643Z   test_sparse_consistency_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1159803Z   test_sparse_consistency_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1159948Z   test_sparse_consistency_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1160106Z   test_sparse_fn_grad_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:06:43.1160263Z   test_sparse_fn_grad_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1160476Z   test_sparse_fn_grad_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1160687Z   test_sparse_fn_grad_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1160940Z   test_sparse_fn_grad_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1161182Z   test_sparse_fn_grad_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1161392Z   test_sparse_fn_grad_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1161598Z   test_sparse_fn_grad_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1161808Z   test_sparse_fn_grad_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1162006Z   test_sparse_fn_grad_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1162170Z   test_sparse_fn_grad_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1162333Z   test_sparse_fn_grad_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:06:43.1162491Z   test_sparse_fn_grad_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:06:43.1162666Z   test_sparse_fn_grad_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1162835Z   test_sparse_fn_grad_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1162995Z   test_sparse_fn_grad_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1163202Z   test_sparse_fn_grad_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1163550Z   test_sparse_fn_grad_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1163760Z   test_sparse_fn_grad_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1163923Z   test_sparse_fn_grad_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1164296Z   test_sparse_fn_grad_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1164600Z   test_sparse_fn_grad_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1164906Z   test_sparse_fn_grad_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1165199Z   test_sparse_fn_grad_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1165498Z   test_sparse_fn_grad_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1165807Z   test_sparse_fn_grad_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1166525Z   test_sparse_fn_grad_log1p_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:302: UserWarning: log1p_backward: received self with sparse layout, but backward requires materialization of a dense tensor with this shape (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/FunctionsManual.cpp:4679.)
2023-01-11T21:06:43.1166688Z   allow_unused, accumulate_grad=False)  # Calls into the C++ engine to run the backward pass
2023-01-11T21:06:43.1166753Z ok (0.008s)
2023-01-11T21:06:43.1166902Z   test_sparse_fn_grad_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:06:43.1167111Z   test_sparse_fn_grad_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1167338Z   test_sparse_fn_grad_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1167531Z   test_sparse_fn_grad_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1167708Z   test_sparse_fn_grad_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:06:43.1167877Z   test_sparse_fn_grad_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:06:43.1168040Z   test_sparse_fn_grad_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1168201Z   test_sparse_fn_grad_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1168348Z   test_sparse_fn_grad_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1168560Z   test_sparse_fn_grad_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1168768Z   test_sparse_fn_grad_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1168928Z   test_sparse_fn_grad_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1169233Z   test_sparse_fn_grad_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s)
2023-01-11T21:06:43.1169441Z   test_sparse_fn_grad_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1169642Z   test_sparse_fn_grad_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1169847Z   test_sparse_fn_grad_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1170051Z   test_sparse_fn_grad_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1170256Z   test_sparse_fn_grad_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1170448Z   test_sparse_fn_grad_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1170655Z   test_sparse_fn_grad_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1170855Z   test_sparse_fn_grad_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1171059Z   test_sparse_fn_grad_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1171262Z   test_sparse_fn_grad_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s)
2023-01-11T21:06:43.1171422Z   test_sparse_fn_grad_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:06:43.1171587Z   test_sparse_zero_dims_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1171749Z   test_sparse_zero_dims_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1171908Z   test_sparse_zero_dims_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1172067Z   test_sparse_zero_dims_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1172211Z   test_sparse_zero_dims_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1172360Z   test_sparse_zero_dims_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1172514Z   test_sparse_zero_dims_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1172725Z   test_sparse_zero_dims_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1172908Z   test_sparse_zero_dims_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1173074Z   test_sparse_zero_dims_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1173236Z   test_sparse_zero_dims_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1173395Z   test_sparse_zero_dims_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1173542Z   test_sparse_zero_dims_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1173697Z   test_sparse_zero_dims_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1173852Z   test_sparse_zero_dims_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174010Z   test_sparse_zero_dims_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174164Z   test_sparse_zero_dims_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174317Z   test_sparse_zero_dims_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174485Z   test_sparse_zero_dims_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174651Z   test_sparse_zero_dims_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174813Z   test_sparse_zero_dims_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1174961Z   test_sparse_zero_dims_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1175118Z   test_sparse_zero_dims_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1175274Z   test_sparse_zero_dims_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1175429Z   test_sparse_zero_dims_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1175585Z   test_sparse_zero_dims_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1175742Z   test_sparse_zero_dims_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1175906Z   test_sparse_zero_dims_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176070Z   test_sparse_zero_dims_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176217Z   test_sparse_zero_dims_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176377Z   test_sparse_zero_dims_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176533Z   test_sparse_zero_dims_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176688Z   test_sparse_zero_dims_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176838Z   test_sparse_zero_dims_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1176995Z   test_sparse_zero_dims_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1177150Z   test_sparse_zero_dims_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1177316Z   test_sparse_zero_dims_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1177480Z   test_sparse_zero_dims_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1177630Z   test_sparse_zero_dims_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1177792Z   test_sparse_zero_dims_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1177948Z   test_sparse_zero_dims_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1178140Z   test_sparse_zero_dims_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1178321Z   test_sparse_zero_dims_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1178479Z   test_sparse_zero_dims_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1178630Z   test_sparse_zero_dims_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1178787Z   test_sparse_zero_dims_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1178933Z   test_sparse_zero_dims_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1179087Z   test_sparse_zero_dims_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1179242Z   test_sparse_zero_dims_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1179395Z   test_sparse_zero_dims_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1179549Z   test_sparse_zero_dims_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1179705Z   test_sparse_zero_dims_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1179867Z   test_sparse_zero_dims_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180028Z   test_sparse_zero_dims_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180186Z   test_sparse_zero_dims_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180333Z   test_sparse_zero_dims_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180487Z   test_sparse_zero_dims_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180645Z   test_sparse_zero_dims_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180796Z   test_sparse_zero_dims_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1180953Z   test_sparse_zero_dims_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1181107Z   test_sparse_zero_dims_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1181280Z   test_sparse_zero_dims_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1181456Z   test_sparse_zero_dims_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1181615Z   test_sparse_zero_dims_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1181781Z   test_sparse_zero_dims_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1181947Z   test_sparse_zero_dims_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1182117Z   test_sparse_zero_dims_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1182280Z   test_sparse_zero_dims_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1182446Z   test_sparse_zero_dims_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1182608Z   test_sparse_zero_dims_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1182771Z   test_sparse_zero_dims_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1182934Z   test_sparse_zero_dims_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1183084Z   test_sparse_zero_dims_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1183244Z   test_sparse_zero_dims_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1183430Z   test_sparse_zero_dims_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1183620Z   test_sparse_zero_dims_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1183784Z   test_sparse_zero_dims_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1183945Z   test_sparse_zero_dims_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1184102Z   test_sparse_zero_dims_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1184257Z   test_sparse_zero_dims_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1184414Z   test_sparse_zero_dims_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1184553Z   test_sparse_zero_dims_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1184711Z   test_sparse_zero_dims_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1184865Z   test_sparse_zero_dims_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185027Z   test_sparse_zero_dims_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185187Z   test_sparse_zero_dims_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185343Z   test_sparse_zero_dims_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185497Z   test_sparse_zero_dims_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185650Z   test_sparse_zero_dims_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185794Z   test_sparse_zero_dims_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1185949Z   test_sparse_zero_dims_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1186110Z   test_sparse_zero_dims_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1186270Z   test_sparse_zero_dims_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1186427Z   test_sparse_zero_dims_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1186583Z   test_sparse_zero_dims_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1186736Z   test_sparse_zero_dims_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1186889Z   test_sparse_zero_dims_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1187045Z   test_sparse_zero_dims_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1187193Z   test_sparse_zero_dims_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1187356Z   test_sparse_zero_dims_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1187523Z   test_sparse_zero_dims_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1187686Z   test_sparse_zero_dims_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1187845Z   test_sparse_zero_dims_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1188003Z   test_sparse_zero_dims_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1188160Z   test_sparse_zero_dims_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1188315Z   test_sparse_zero_dims_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1188457Z   test_sparse_zero_dims_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1188648Z   test_sparse_zero_dims_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1188802Z   test_sparse_zero_dims_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189002Z   test_sparse_zero_dims_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189169Z   test_sparse_zero_dims_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189327Z   test_sparse_zero_dims_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189489Z   test_sparse_zero_dims_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189644Z   test_sparse_zero_dims_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189800Z   test_sparse_zero_dims_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1189939Z   test_sparse_zero_dims_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1190099Z   test_sparse_zero_dims_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1190258Z   test_sparse_zero_dims_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1190426Z   test_sparse_zero_dims_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1190592Z   test_sparse_zero_dims_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1190753Z   test_sparse_zero_dims_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1190915Z   test_sparse_zero_dims_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1191076Z   test_sparse_zero_dims_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1191235Z   test_sparse_zero_dims_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1191386Z   test_sparse_zero_dims_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1191552Z   test_sparse_zero_dims_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1191718Z   test_sparse_zero_dims_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1191875Z   test_sparse_zero_dims_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1192035Z   test_sparse_zero_dims_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1192196Z   test_sparse_zero_dims_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1192356Z   test_sparse_zero_dims_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1192513Z   test_sparse_zero_dims_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1192667Z   test_sparse_zero_dims_log1p_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1192833Z   test_sparse_zero_dims_log1p_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1193075Z   test_sparse_zero_dims_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1193247Z   test_sparse_zero_dims_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1193404Z   test_sparse_zero_dims_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1193561Z   test_sparse_zero_dims_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1193717Z   test_sparse_zero_dims_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1193872Z   test_sparse_zero_dims_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1194024Z   test_sparse_zero_dims_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1194216Z   test_sparse_zero_dims_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1194410Z   test_sparse_zero_dims_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1194574Z   test_sparse_zero_dims_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1194735Z   test_sparse_zero_dims_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1194897Z   test_sparse_zero_dims_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195057Z   test_sparse_zero_dims_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195216Z   test_sparse_zero_dims_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195377Z   test_sparse_zero_dims_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195528Z   test_sparse_zero_dims_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195686Z   test_sparse_zero_dims_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195843Z   test_sparse_zero_dims_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1195998Z   test_sparse_zero_dims_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1196153Z   test_sparse_zero_dims_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1196308Z   test_sparse_zero_dims_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1196463Z   test_sparse_zero_dims_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1196617Z   test_sparse_zero_dims_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1196796Z   test_sparse_zero_dims_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1196961Z   test_sparse_zero_dims_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1197137Z   test_sparse_zero_dims_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1197310Z   test_sparse_zero_dims_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1197478Z   test_sparse_zero_dims_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1197650Z   test_sparse_zero_dims_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1197823Z   test_sparse_zero_dims_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1197991Z   test_sparse_zero_dims_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1198162Z   test_sparse_zero_dims_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1198326Z   test_sparse_zero_dims_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1198478Z   test_sparse_zero_dims_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1198638Z   test_sparse_zero_dims_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1198800Z   test_sparse_zero_dims_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1198960Z   test_sparse_zero_dims_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1199121Z   test_sparse_zero_dims_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1199279Z   test_sparse_zero_dims_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1199487Z   test_sparse_zero_dims_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1199651Z   test_sparse_zero_dims_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1199839Z   test_sparse_zero_dims_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1199988Z   test_sparse_zero_dims_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1200146Z   test_sparse_zero_dims_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1200305Z   test_sparse_zero_dims_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1200461Z   test_sparse_zero_dims_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1200619Z   test_sparse_zero_dims_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1200780Z   test_sparse_zero_dims_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1200938Z   test_sparse_zero_dims_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1201095Z   test_sparse_zero_dims_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1201238Z   test_sparse_zero_dims_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1201394Z   test_sparse_zero_dims_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1201553Z   test_sparse_zero_dims_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1201714Z   test_sparse_zero_dims_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1201873Z   test_sparse_zero_dims_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202031Z   test_sparse_zero_dims_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202189Z   test_sparse_zero_dims_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202345Z   test_sparse_zero_dims_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202500Z   test_sparse_zero_dims_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202643Z   test_sparse_zero_dims_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202799Z   test_sparse_zero_dims_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1202952Z   test_sparse_zero_dims_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1203110Z   test_sparse_zero_dims_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1203267Z   test_sparse_zero_dims_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1203577Z   test_sparse_zero_dims_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1203755Z   test_sparse_zero_dims_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1203910Z   test_sparse_zero_dims_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1204051Z   test_sparse_zero_dims_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1204205Z   test_sparse_zero_dims_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1204370Z   test_sparse_zero_dims_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1204534Z   test_sparse_zero_dims_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1204693Z   test_sparse_zero_dims_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1204852Z   test_sparse_zero_dims_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1205064Z   test_sparse_zero_dims_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1205256Z   test_sparse_zero_dims_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1205416Z   test_sparse_zero_dims_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1205567Z   test_sparse_zero_dims_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1205724Z   test_sparse_zero_dims_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1205881Z   test_sparse_zero_dims_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206036Z   test_sparse_zero_dims_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206190Z   test_sparse_zero_dims_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206347Z   test_sparse_zero_dims_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206500Z   test_sparse_zero_dims_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206656Z   test_sparse_zero_dims_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206798Z   test_sparse_zero_dims_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1206963Z   test_sparse_zero_dims_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1207125Z   test_sparse_zero_dims_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1207281Z   test_sparse_zero_dims_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1207437Z   test_sparse_zero_dims_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1207591Z   test_sparse_zero_dims_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1207748Z   test_sparse_zero_dims_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1207903Z   test_sparse_zero_dims_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208057Z   test_sparse_zero_dims_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208196Z   test_sparse_zero_dims_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208358Z   test_sparse_zero_dims_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208521Z   test_sparse_zero_dims_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208677Z   test_sparse_zero_dims_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208834Z   test_sparse_zero_dims_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1208991Z   test_sparse_zero_dims_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1209148Z   test_sparse_zero_dims_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1209301Z   test_sparse_zero_dims_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1209443Z   test_sparse_zero_dims_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1209596Z   test_sparse_zero_dims_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1209759Z   test_sparse_zero_dims_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1209922Z   test_sparse_zero_dims_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1210078Z   test_sparse_zero_dims_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1210234Z   test_sparse_zero_dims_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1210421Z   test_sparse_zero_dims_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1210605Z   test_sparse_zero_dims_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1210761Z   test_sparse_zero_dims_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1210903Z   test_sparse_zero_dims_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1211057Z   test_sparse_zero_dims_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1211221Z   test_sparse_zero_dims_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1211381Z   test_sparse_zero_dims_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1211538Z   test_sparse_zero_dims_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1211697Z   test_sparse_zero_dims_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1211851Z   test_sparse_zero_dims_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212011Z   test_sparse_zero_dims_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212164Z   test_sparse_zero_dims_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212306Z   test_sparse_zero_dims_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212460Z   test_sparse_zero_dims_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212617Z   test_sparse_zero_dims_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212777Z   test_sparse_zero_dims_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1212932Z   test_sparse_zero_dims_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1213090Z   test_sparse_zero_dims_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1213246Z   test_sparse_zero_dims_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1213401Z   test_sparse_zero_dims_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1213545Z   test_sparse_zero_dims_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1213701Z   test_sparse_zeros_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1213856Z   test_sparse_zeros_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214009Z   test_sparse_zeros_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214162Z   test_sparse_zeros_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214316Z   test_sparse_zeros_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214461Z   test_sparse_zeros_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214608Z   test_sparse_zeros_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214746Z   test_sparse_zeros_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1214893Z   test_sparse_zeros_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1215052Z   test_sparse_zeros_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1215208Z   test_sparse_zeros_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1215366Z   test_sparse_zeros_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1215521Z   test_sparse_zeros_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1215706Z   test_sparse_zeros_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1215885Z   test_sparse_zeros_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216033Z   test_sparse_zeros_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216172Z   test_sparse_zeros_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216323Z   test_sparse_zeros_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216483Z   test_sparse_zeros_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216642Z   test_sparse_zeros_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216799Z   test_sparse_zeros_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1216954Z   test_sparse_zeros_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1217109Z   test_sparse_zeros_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1217263Z   test_sparse_zeros_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1217404Z   test_sparse_zeros_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1217555Z   test_sparse_zeros_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1217708Z   test_sparse_zeros_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1217867Z   test_sparse_zeros_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218026Z   test_sparse_zeros_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218182Z   test_sparse_zeros_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218337Z   test_sparse_zeros_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218489Z   test_sparse_zeros_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218639Z   test_sparse_zeros_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218777Z   test_sparse_zeros_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1218928Z   test_sparse_zeros_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1219076Z   test_sparse_zeros_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1219237Z   test_sparse_zeros_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1219396Z   test_sparse_zeros_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1219551Z   test_sparse_zeros_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1219709Z   test_sparse_zeros_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1219862Z   test_sparse_zeros_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220004Z   test_sparse_zeros_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220156Z   test_sparse_zeros_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220307Z   test_sparse_zeros_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220458Z   test_sparse_zeros_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220612Z   test_sparse_zeros_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220765Z   test_sparse_zeros_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1220915Z   test_sparse_zeros_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1221100Z   test_sparse_zeros_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1221313Z   test_sparse_zeros_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1221455Z   test_sparse_zeros_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1221606Z   test_sparse_zeros_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1221764Z   test_sparse_zeros_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1221919Z   test_sparse_zeros_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222071Z   test_sparse_zeros_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222222Z   test_sparse_zeros_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222375Z   test_sparse_zeros_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222524Z   test_sparse_zeros_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222663Z   test_sparse_zeros_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222816Z   test_sparse_zeros_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1222963Z   test_sparse_zeros_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1223137Z   test_sparse_zeros_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1223308Z   test_sparse_zeros_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1223474Z   test_sparse_zeros_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1223641Z   test_sparse_zeros_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1223807Z   test_sparse_zeros_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1223972Z   test_sparse_zeros_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1224123Z   test_sparse_zeros_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1224285Z   test_sparse_zeros_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1224445Z   test_sparse_zeros_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1224605Z   test_sparse_zeros_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1224766Z   test_sparse_zeros_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1224922Z   test_sparse_zeros_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225082Z   test_sparse_zeros_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225241Z   test_sparse_zeros_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225385Z   test_sparse_zeros_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225541Z   test_sparse_zeros_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225694Z   test_sparse_zeros_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225846Z   test_sparse_zeros_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1225997Z   test_sparse_zeros_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1226145Z   test_sparse_zeros_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1226292Z   test_sparse_zeros_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1226476Z   test_sparse_zeros_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1226610Z   test_sparse_zeros_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1226793Z   test_sparse_zeros_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1226951Z   test_sparse_zeros_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1227104Z   test_sparse_zeros_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1227256Z   test_sparse_zeros_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1227406Z   test_sparse_zeros_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1227558Z   test_sparse_zeros_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1227709Z   test_sparse_zeros_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1227863Z   test_sparse_zeros_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228008Z   test_sparse_zeros_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228157Z   test_sparse_zeros_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228309Z   test_sparse_zeros_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228460Z   test_sparse_zeros_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228611Z   test_sparse_zeros_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228762Z   test_sparse_zeros_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1228918Z   test_sparse_zeros_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229074Z   test_sparse_zeros_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229223Z   test_sparse_zeros_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229387Z   test_sparse_zeros_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229540Z   test_sparse_zeros_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229692Z   test_sparse_zeros_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229845Z   test_sparse_zeros_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1229997Z   test_sparse_zeros_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1230144Z   test_sparse_zeros_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1230296Z   test_sparse_zeros_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1230450Z   test_sparse_zeros_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1230600Z   test_sparse_zeros_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1230761Z   test_sparse_zeros_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1230914Z   test_sparse_zeros_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1231070Z   test_sparse_zeros_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1231220Z   test_sparse_zeros_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1231372Z   test_sparse_zeros_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1231522Z   test_sparse_zeros_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1231672Z   test_sparse_zeros_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1231839Z   test_sparse_zeros_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232025Z   test_sparse_zeros_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232188Z   test_sparse_zeros_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232349Z   test_sparse_zeros_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232508Z   test_sparse_zeros_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232665Z   test_sparse_zeros_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232820Z   test_sparse_zeros_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1232976Z   test_sparse_zeros_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1233200Z   test_sparse_zeros_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1233350Z   test_sparse_zeros_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1233509Z   test_sparse_zeros_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1233667Z   test_sparse_zeros_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1233819Z   test_sparse_zeros_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1233976Z   test_sparse_zeros_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1234130Z   test_sparse_zeros_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1234292Z   test_sparse_zeros_log1p_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1234452Z   test_sparse_zeros_log1p_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1234597Z   test_sparse_zeros_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1234759Z   test_sparse_zeros_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1234913Z   test_sparse_zeros_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235065Z   test_sparse_zeros_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235217Z   test_sparse_zeros_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235371Z   test_sparse_zeros_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235522Z   test_sparse_zeros_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235682Z   test_sparse_zeros_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235846Z   test_sparse_zeros_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1235990Z   test_sparse_zeros_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1236149Z   test_sparse_zeros_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1236302Z   test_sparse_zeros_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1236459Z   test_sparse_zeros_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1236619Z   test_sparse_zeros_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1236776Z   test_sparse_zeros_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1236932Z   test_sparse_zeros_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1237086Z   test_sparse_zeros_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1237269Z   test_sparse_zeros_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1237448Z   test_sparse_zeros_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1237597Z   test_sparse_zeros_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1237745Z   test_sparse_zeros_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1237897Z   test_sparse_zeros_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1238042Z   test_sparse_zeros_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1238215Z   test_sparse_zeros_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1238388Z   test_sparse_zeros_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1238560Z   test_sparse_zeros_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1238714Z   test_sparse_zeros_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1238879Z   test_sparse_zeros_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1239048Z   test_sparse_zeros_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1239219Z   test_sparse_zeros_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1239384Z   test_sparse_zeros_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1239550Z   test_sparse_zeros_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1239711Z   test_sparse_zeros_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1239872Z   test_sparse_zeros_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240017Z   test_sparse_zeros_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240176Z   test_sparse_zeros_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240328Z   test_sparse_zeros_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240485Z   test_sparse_zeros_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240639Z   test_sparse_zeros_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240798Z   test_sparse_zeros_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1240958Z   test_sparse_zeros_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1241115Z   test_sparse_zeros_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1241273Z   test_sparse_zeros_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1241416Z   test_sparse_zeros_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1241574Z   test_sparse_zeros_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1241728Z   test_sparse_zeros_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1241881Z   test_sparse_zeros_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1242033Z   test_sparse_zeros_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1242185Z   test_sparse_zeros_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1242338Z   test_sparse_zeros_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1242490Z   test_sparse_zeros_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1242662Z   test_sparse_zeros_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1242841Z   test_sparse_zeros_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1243000Z   test_sparse_zeros_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1243156Z   test_sparse_zeros_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1243318Z   test_sparse_zeros_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1243684Z   test_sparse_zeros_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1243855Z   test_sparse_zeros_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244006Z   test_sparse_zeros_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244157Z   test_sparse_zeros_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244296Z   test_sparse_zeros_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244445Z   test_sparse_zeros_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244602Z   test_sparse_zeros_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244755Z   test_sparse_zeros_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1244907Z   test_sparse_zeros_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245058Z   test_sparse_zeros_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245211Z   test_sparse_zeros_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245360Z   test_sparse_zeros_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245503Z   test_sparse_zeros_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245661Z   test_sparse_zeros_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245823Z   test_sparse_zeros_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1245979Z   test_sparse_zeros_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1246135Z   test_sparse_zeros_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1246288Z   test_sparse_zeros_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1246444Z   test_sparse_zeros_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1246599Z   test_sparse_zeros_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1246745Z   test_sparse_zeros_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1246902Z   test_sparse_zeros_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247059Z   test_sparse_zeros_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247209Z   test_sparse_zeros_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247360Z   test_sparse_zeros_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247505Z   test_sparse_zeros_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247649Z   test_sparse_zeros_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247801Z   test_sparse_zeros_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1247944Z   test_sparse_zeros_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1248091Z   test_sparse_zeros_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1248300Z   test_sparse_zeros_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1248489Z   test_sparse_zeros_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1248646Z   test_sparse_zeros_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1248798Z   test_sparse_zeros_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1248949Z   test_sparse_zeros_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1249100Z   test_sparse_zeros_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1249253Z   test_sparse_zeros_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1249391Z   test_sparse_zeros_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1249555Z   test_sparse_zeros_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1249713Z   test_sparse_zeros_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1249872Z   test_sparse_zeros_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250023Z   test_sparse_zeros_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250174Z   test_sparse_zeros_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250325Z   test_sparse_zeros_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250472Z   test_sparse_zeros_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250623Z   test_sparse_zeros_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250762Z   test_sparse_zeros_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1250922Z   test_sparse_zeros_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251079Z   test_sparse_zeros_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251233Z   test_sparse_zeros_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251388Z   test_sparse_zeros_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251539Z   test_sparse_zeros_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251683Z   test_sparse_zeros_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251827Z   test_sparse_zeros_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1251966Z   test_sparse_zeros_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1252114Z   test_sparse_zeros_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1252274Z   test_sparse_zeros_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1252434Z   test_sparse_zeros_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1252589Z   test_sparse_zeros_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1252739Z   test_sparse_zeros_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1252893Z   test_sparse_zeros_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1253043Z   test_sparse_zeros_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1253181Z   test_sparse_zeros_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1253330Z   test_sparse_zeros_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1253480Z   test_sparse_zeros_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1253667Z   test_sparse_zeros_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1253873Z   test_sparse_zeros_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1254029Z   test_sparse_zeros_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1254182Z   test_sparse_zeros_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1254330Z   test_sparse_zeros_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1254481Z   test_sparse_zeros_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1254623Z   test_sparse_zeros_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:06:43.1254633Z 
2023-01-11T21:06:43.1254872Z ----------------------------------------------------------------------
2023-01-11T21:06:43.1254954Z Ran 2485 tests in 147.437s
2023-01-11T21:06:43.1254960Z 
2023-01-11T21:06:43.1255032Z OK (skipped=337)
2023-01-11T21:06:43.1255037Z 
2023-01-11T21:06:43.1255120Z Generating XML reports...
2023-01-11T21:06:43.1255419Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseAnyCPU-20230111210414.xml
2023-01-11T21:06:43.1255693Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseCPU-20230111210414.xml
2023-01-11T21:06:43.1256020Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMaskedReductionsCPU-20230111210414.xml
2023-01-11T21:06:43.1256292Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMeta-20230111210414.xml
2023-01-11T21:06:43.1256583Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseUnaryUfuncsCPU-20230111210414.xml
2023-01-11T21:06:43.1256859Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseOneOff-20230111210414.xml
2023-01-11T21:06:43.1256866Z 
2023-01-11T21:06:43.1257244Z ##[endgroup]
2023-01-11T21:06:43.1257513Z FINISHED PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_byfi80o_)
2023-01-11T21:06:43.1257518Z 
2023-01-11T21:06:43.4297530Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:43.5680881Z Ignoring disabled issues:  []
2023-01-11T21:06:43.5835083Z Running distributions/test_constraints ... [2023-01-11 21:06:43.583290]
2023-01-11T21:06:43.5837665Z Executing ['/opt/conda/bin/python', '-bb', '-m', 'pytest', 'distributions/test_constraints.py', '-v'] ... [2023-01-11 21:06:43.583590]
2023-01-11T21:06:44.9745835Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:45.1151517Z Ignoring disabled issues:  []
2023-01-11T21:06:45.1302835Z Running dynamo/test_recompile_ux ... [2023-01-11 21:06:45.130000]
2023-01-11T21:06:45.1304815Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:45.130251]
2023-01-11T21:06:46.4625446Z 
2023-01-11T21:06:46.4626374Z Expand the folded group to see the log file of distributions/test_constraints
2023-01-11T21:06:46.4627595Z ##[group]PRINTING LOG FILE of distributions/test_constraints (/var/lib/jenkins/workspace/test/test-reports/distributions-test_constraints_by308iz4)
2023-01-11T21:06:46.4628252Z ============================= test session starts ==============================
2023-01-11T21:06:46.4628786Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T21:06:46.4629111Z cachedir: .pytest_cache
2023-01-11T21:06:46.4629596Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/var/lib/jenkins/workspace/test/.hypothesis/examples')
2023-01-11T21:06:46.4629976Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T21:06:46.4630432Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T21:06:46.4630941Z collecting ... collected 136 items
2023-01-11T21:06:46.4652660Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24]
2023-01-11T21:06:46.4666004Z 
2023-01-11T21:06:46.4666273Z distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0] PASSED [  0%]
2023-01-11T21:06:46.4666758Z distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1] PASSED [  1%]
2023-01-11T21:06:46.4667251Z distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2] PASSED [  2%]
2023-01-11T21:06:46.4667753Z distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3] PASSED [  2%]
2023-01-11T21:06:46.4668222Z distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4] PASSED [  3%]
2023-01-11T21:06:46.4668678Z distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5] PASSED [  4%]
2023-01-11T21:06:46.4669132Z distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6] PASSED [  5%]
2023-01-11T21:06:46.4669583Z distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7] PASSED [  5%]
2023-01-11T21:06:46.4670020Z distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8] PASSED [  6%]
2023-01-11T21:06:46.4670468Z distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9] PASSED [  7%]
2023-01-11T21:06:46.4670929Z distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10] PASSED [  8%]
2023-01-11T21:06:46.4671377Z distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11] PASSED [  8%]
2023-01-11T21:06:46.4671829Z distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12] PASSED [  9%]
2023-01-11T21:06:46.4672283Z distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13] PASSED [ 10%]
2023-01-11T21:06:46.4672739Z distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14] PASSED [ 11%]
2023-01-11T21:06:46.4673254Z distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15] PASSED [ 11%]
2023-01-11T21:06:46.4673980Z distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16] PASSED [ 12%]
2023-01-11T21:06:46.4674461Z distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17] PASSED [ 13%]
2023-01-11T21:06:46.4674972Z distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0] SKIPPED [ 13%]
2023-01-11T21:06:46.4675489Z distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1] SKIPPED [ 14%]
2023-01-11T21:06:46.4675961Z distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2] SKIPPED [ 15%]
2023-01-11T21:06:46.4676516Z distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3] SKIPPED [ 16%]
2023-01-11T21:06:46.4677028Z distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4] SKIPPED [ 16%]
2023-01-11T21:06:46.4677540Z distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5] SKIPPED [ 17%]
2023-01-11T21:06:46.4678007Z distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6] SKIPPED [ 18%]
2023-01-11T21:06:46.4678557Z distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7] SKIPPED [ 19%]
2023-01-11T21:06:46.4679066Z distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8] SKIPPED [ 19%]
2023-01-11T21:06:46.4679573Z distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9] SKIPPED [ 20%]
2023-01-11T21:06:46.4680049Z distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10] SKIPPED [ 21%]
2023-01-11T21:06:46.4680575Z distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11] SKIPPED [ 22%]
2023-01-11T21:06:46.4681112Z distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12] SKIPPED [ 22%]
2023-01-11T21:06:46.4681578Z distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13] SKIPPED [ 23%]
2023-01-11T21:06:46.4682086Z distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14] SKIPPED [ 24%]
2023-01-11T21:06:46.4682616Z distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15] SKIPPED [ 25%]
2023-01-11T21:06:46.4683150Z distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16] SKIPPED [ 25%]
2023-01-11T21:06:46.4683835Z distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17] SKIPPED [ 26%]
2023-01-11T21:06:46.4684400Z distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0] PASSED [ 27%]
2023-01-11T21:06:46.4684895Z distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1] PASSED [ 27%]
2023-01-11T21:06:46.4685373Z distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2] PASSED [ 28%]
2023-01-11T21:06:46.4685838Z distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3] PASSED [ 29%]
2023-01-11T21:06:46.4686319Z distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4] PASSED [ 30%]
2023-01-11T21:06:46.4686798Z distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5] PASSED [ 30%]
2023-01-11T21:06:46.4687303Z distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6] PASSED [ 31%]
2023-01-11T21:06:46.4687787Z distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7] PASSED [ 32%]
2023-01-11T21:06:46.4688298Z distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8] PASSED [ 33%]
2023-01-11T21:06:46.4688790Z distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9] PASSED [ 33%]
2023-01-11T21:06:46.4689219Z distributions/test_constraints.py::test_biject_to[False-_LessThan-args10] PASSED [ 34%]
2023-01-11T21:06:46.4689687Z distributions/test_constraints.py::test_biject_to[False-_LessThan-args11] PASSED [ 35%]
2023-01-11T21:06:46.4690173Z distributions/test_constraints.py::test_biject_to[False-_LessThan-args12] PASSED [ 36%]
2023-01-11T21:06:46.4690603Z distributions/test_constraints.py::test_biject_to[False-_LessThan-args13] PASSED [ 36%]
2023-01-11T21:06:46.4691082Z distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14] PASSED [ 37%]
2023-01-11T21:06:46.4691564Z distributions/test_constraints.py::test_biject_to[False-_Interval-args15] PASSED [ 38%]
2023-01-11T21:06:46.4692034Z distributions/test_constraints.py::test_biject_to[False-_Interval-args16] PASSED [ 38%]
2023-01-11T21:06:46.4692487Z distributions/test_constraints.py::test_biject_to[False-_Interval-args17] PASSED [ 39%]
2023-01-11T21:06:46.4692979Z distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18] PASSED [ 40%]
2023-01-11T21:06:46.4693481Z distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19] PASSED [ 41%]
2023-01-11T21:06:46.4693932Z distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20] PASSED [ 41%]
2023-01-11T21:06:46.4694428Z distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21] PASSED [ 42%]
2023-01-11T21:06:46.4694928Z distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22] PASSED [ 43%]
2023-01-11T21:06:46.4695412Z distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23] SKIPPED [ 44%]
2023-01-11T21:06:46.4695870Z distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24] SKIPPED [ 44%]
2023-01-11T21:06:46.4696355Z distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0] SKIPPED [ 45%]
2023-01-11T21:06:46.4696860Z distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1] SKIPPED [ 46%]
2023-01-11T21:06:46.4697337Z distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2] SKIPPED [ 47%]
2023-01-11T21:06:46.4697767Z distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3] SKIPPED [ 47%]
2023-01-11T21:06:46.4698249Z distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4] SKIPPED [ 48%]
2023-01-11T21:06:46.4698726Z distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5] SKIPPED [ 49%]
2023-01-11T21:06:46.4708069Z distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6] SKIPPED [ 50%]
2023-01-11T21:06:46.4708511Z distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7] SKIPPED [ 50%]
2023-01-11T21:06:46.4709073Z distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8] SKIPPED [ 51%]
2023-01-11T21:06:46.4709551Z distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9] SKIPPED [ 52%]
2023-01-11T21:06:46.4709969Z distributions/test_constraints.py::test_biject_to[True-_LessThan-args10] SKIPPED [ 52%]
2023-01-11T21:06:46.4710370Z distributions/test_constraints.py::test_biject_to[True-_LessThan-args11] SKIPPED [ 53%]
2023-01-11T21:06:46.4710779Z distributions/test_constraints.py::test_biject_to[True-_LessThan-args12] SKIPPED [ 54%]
2023-01-11T21:06:46.4711189Z distributions/test_constraints.py::test_biject_to[True-_LessThan-args13] SKIPPED [ 55%]
2023-01-11T21:06:46.4711596Z distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14] SKIPPED [ 55%]
2023-01-11T21:06:46.4712011Z distributions/test_constraints.py::test_biject_to[True-_Interval-args15] SKIPPED [ 56%]
2023-01-11T21:06:46.4712420Z distributions/test_constraints.py::test_biject_to[True-_Interval-args16] SKIPPED [ 57%]
2023-01-11T21:06:46.4712827Z distributions/test_constraints.py::test_biject_to[True-_Interval-args17] SKIPPED [ 58%]
2023-01-11T21:06:46.4713375Z distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18] SKIPPED [ 58%]
2023-01-11T21:06:46.4713850Z distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19] SKIPPED [ 59%]
2023-01-11T21:06:46.4714295Z distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20] SKIPPED [ 60%]
2023-01-11T21:06:46.4714728Z distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21] SKIPPED [ 61%]
2023-01-11T21:06:46.4715138Z distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22] SKIPPED [ 61%]
2023-01-11T21:06:46.4715561Z distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23] SKIPPED [ 62%]
2023-01-11T21:06:46.4715983Z distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24] SKIPPED [ 63%]
2023-01-11T21:06:46.4716405Z distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0] PASSED [ 63%]
2023-01-11T21:06:46.4716841Z distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1] PASSED [ 64%]
2023-01-11T21:06:46.4717272Z distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2] PASSED [ 65%]
2023-01-11T21:06:46.4717699Z distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3] PASSED [ 66%]
2023-01-11T21:06:46.4718113Z distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4] PASSED [ 66%]
2023-01-11T21:06:46.4718539Z distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5] PASSED [ 67%]
2023-01-11T21:06:46.4718958Z distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6] PASSED [ 68%]
2023-01-11T21:06:46.4719368Z distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7] PASSED [ 69%]
2023-01-11T21:06:46.4719805Z distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8] PASSED [ 69%]
2023-01-11T21:06:46.4720234Z distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9] PASSED [ 70%]
2023-01-11T21:06:46.4720658Z distributions/test_constraints.py::test_transform_to[False-_LessThan-args10] PASSED [ 71%]
2023-01-11T21:06:46.4721062Z distributions/test_constraints.py::test_transform_to[False-_LessThan-args11] PASSED [ 72%]
2023-01-11T21:06:46.4721476Z distributions/test_constraints.py::test_transform_to[False-_LessThan-args12] PASSED [ 72%]
2023-01-11T21:06:46.4721887Z distributions/test_constraints.py::test_transform_to[False-_LessThan-args13] PASSED [ 73%]
2023-01-11T21:06:46.4722309Z distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14] PASSED [ 74%]
2023-01-11T21:06:46.4722718Z distributions/test_constraints.py::test_transform_to[False-_Interval-args15] PASSED [ 75%]
2023-01-11T21:06:46.4723171Z distributions/test_constraints.py::test_transform_to[False-_Interval-args16] PASSED [ 75%]
2023-01-11T21:06:46.4723727Z distributions/test_constraints.py::test_transform_to[False-_Interval-args17] PASSED [ 76%]
2023-01-11T21:06:46.4724207Z distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18] PASSED [ 77%]
2023-01-11T21:06:46.4724667Z distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19] PASSED [ 77%]
2023-01-11T21:06:46.4725115Z distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20] PASSED [ 78%]
2023-01-11T21:06:46.4725556Z distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21] PASSED [ 79%]
2023-01-11T21:06:46.4725978Z distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22] PASSED [ 80%]
2023-01-11T21:06:46.4726408Z distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23] PASSED [ 80%]
2023-01-11T21:06:46.4726849Z distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24] PASSED [ 81%]
2023-01-11T21:06:46.4727270Z distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0] SKIPPED [ 82%]
2023-01-11T21:06:46.4727703Z distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1] SKIPPED [ 83%]
2023-01-11T21:06:46.4728129Z distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2] SKIPPED [ 83%]
2023-01-11T21:06:46.4728556Z distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3] SKIPPED [ 84%]
2023-01-11T21:06:46.4728973Z distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4] SKIPPED [ 85%]
2023-01-11T21:06:46.4729397Z distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5] SKIPPED [ 86%]
2023-01-11T21:06:46.4729815Z distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6] SKIPPED [ 86%]
2023-01-11T21:06:46.4730240Z distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7] SKIPPED [ 87%]
2023-01-11T21:06:46.4730662Z distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8] SKIPPED [ 88%]
2023-01-11T21:06:46.4731093Z distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9] SKIPPED [ 88%]
2023-01-11T21:06:46.4731520Z distributions/test_constraints.py::test_transform_to[True-_LessThan-args10] SKIPPED [ 89%]
2023-01-11T21:06:46.4731923Z distributions/test_constraints.py::test_transform_to[True-_LessThan-args11] SKIPPED [ 90%]
2023-01-11T21:06:46.4732332Z distributions/test_constraints.py::test_transform_to[True-_LessThan-args12] SKIPPED [ 91%]
2023-01-11T21:06:46.4732744Z distributions/test_constraints.py::test_transform_to[True-_LessThan-args13] SKIPPED [ 91%]
2023-01-11T21:06:46.4733168Z distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14] SKIPPED [ 92%]
2023-01-11T21:06:46.4733580Z distributions/test_constraints.py::test_transform_to[True-_Interval-args15] SKIPPED [ 93%]
2023-01-11T21:06:46.4733994Z distributions/test_constraints.py::test_transform_to[True-_Interval-args16] SKIPPED [ 94%]
2023-01-11T21:06:46.4734409Z distributions/test_constraints.py::test_transform_to[True-_Interval-args17] SKIPPED [ 94%]
2023-01-11T21:06:46.4734843Z distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18] SKIPPED [ 95%]
2023-01-11T21:06:46.4735281Z distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19] SKIPPED [ 96%]
2023-01-11T21:06:46.4735726Z distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20] SKIPPED [ 97%]
2023-01-11T21:06:46.4736171Z distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21] SKIPPED [ 97%]
2023-01-11T21:06:46.4736591Z distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22] SKIPPED [ 98%]
2023-01-11T21:06:46.4737022Z distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23] SKIPPED [ 99%]
2023-01-11T21:06:46.4737494Z distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24] SKIPPED [100%]
2023-01-11T21:06:46.4737687Z 
2023-01-11T21:06:46.4737804Z ======================== 66 passed, 70 skipped in 1.62s ========================
2023-01-11T21:06:46.4737982Z 
2023-01-11T21:06:46.4738285Z ##[endgroup]
2023-01-11T21:06:46.4738728Z FINISHED PRINTING LOG FILE of distributions/test_constraints (/var/lib/jenkins/workspace/test/test-reports/distributions-test_constraints_by308iz4)
2023-01-11T21:06:46.4738983Z 
2023-01-11T21:06:46.7121725Z 
2023-01-11T21:06:46.7122819Z Expand the folded group to see the log file of dynamo/test_recompile_ux
2023-01-11T21:06:46.7124487Z ##[group]PRINTING LOG FILE of dynamo/test_recompile_ux (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_recompile_ux_gwdd2fwd)
2023-01-11T21:06:46.7124990Z 
2023-01-11T21:06:46.7125437Z ##[endgroup]
2023-01-11T21:06:46.7126337Z FINISHED PRINTING LOG FILE of dynamo/test_recompile_ux (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_recompile_ux_gwdd2fwd)
2023-01-11T21:06:46.7126847Z 
2023-01-11T21:06:48.4128853Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:48.5465226Z Ignoring disabled issues:  []
2023-01-11T21:06:48.5614724Z Running dynamo/test_torchxla_util ... [2023-01-11 21:06:48.561216]
2023-01-11T21:06:48.5616915Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_torchxla_util.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:48.561459]
2023-01-11T21:06:48.5828415Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:48.5981011Z 
2023-01-11T21:06:48.5981316Z Expand the folded group to see the log file of dynamo/test_torchxla_util
2023-01-11T21:06:48.5982447Z ##[group]PRINTING LOG FILE of dynamo/test_torchxla_util (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_util_ykry7s75)
2023-01-11T21:06:48.5982691Z 
2023-01-11T21:06:48.5982908Z ##[endgroup]
2023-01-11T21:06:48.5983354Z FINISHED PRINTING LOG FILE of dynamo/test_torchxla_util (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_util_ykry7s75)
2023-01-11T21:06:48.5983603Z 
2023-01-11T21:06:48.7028099Z Ignoring disabled issues:  []
2023-01-11T21:06:48.7182058Z Running inductor/test_smoke ... [2023-01-11 21:06:48.717904]
2023-01-11T21:06:48.7183868Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_smoke.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:48.718169]
2023-01-11T21:06:50.2894905Z 
2023-01-11T21:06:50.2895497Z Expand the folded group to see the log file of inductor/test_smoke
2023-01-11T21:06:50.2896394Z ##[group]PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_capthpbc)
2023-01-11T21:06:50.2896626Z 
2023-01-11T21:06:50.2896840Z ##[endgroup]
2023-01-11T21:06:50.2897354Z FINISHED PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_capthpbc)
2023-01-11T21:06:50.2897581Z 
2023-01-11T21:06:50.4507704Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:50.5724542Z Ignoring disabled issues:  []
2023-01-11T21:06:50.5875382Z Running lazy/test_extract_compiled_graph ... [2023-01-11 21:06:50.587273]
2023-01-11T21:06:50.5877705Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_extract_compiled_graph.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:50.587547]
2023-01-11T21:06:51.8932772Z 
2023-01-11T21:06:51.8933345Z Expand the folded group to see the log file of lazy/test_extract_compiled_graph
2023-01-11T21:06:51.8934489Z ##[group]PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_fq3ds0gw)
2023-01-11T21:06:51.8934958Z 
2023-01-11T21:06:51.8935303Z ##[endgroup]
2023-01-11T21:06:51.8936176Z FINISHED PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_fq3ds0gw)
2023-01-11T21:06:51.8936882Z 
2023-01-11T21:06:52.2106846Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:52.3467888Z Ignoring disabled issues:  []
2023-01-11T21:06:52.3620802Z Running nn/test_init ... [2023-01-11 21:06:52.361717]
2023-01-11T21:06:52.3621728Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_init.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:52.361943]
2023-01-11T21:06:53.8276976Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:53.9507009Z Ignoring disabled issues:  []
2023-01-11T21:06:53.9661381Z Running test_hub ... [2023-01-11 21:06:53.965832]
2023-01-11T21:06:53.9663237Z Executing ['/opt/conda/bin/python', '-bb', 'test_hub.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:53.966123]
2023-01-11T21:06:54.0847335Z 
2023-01-11T21:06:54.0847829Z Expand the folded group to see the log file of nn/test_init
2023-01-11T21:06:54.0848887Z ##[group]PRINTING LOG FILE of nn/test_init (/var/lib/jenkins/workspace/test/test-reports/nn-test_init_p5b1f4aj)
2023-01-11T21:06:54.0849302Z 
2023-01-11T21:06:54.0849643Z ##[endgroup]
2023-01-11T21:06:54.0850453Z FINISHED PRINTING LOG FILE of nn/test_init (/var/lib/jenkins/workspace/test/test-reports/nn-test_init_p5b1f4aj)
2023-01-11T21:06:54.0850824Z 
2023-01-11T21:06:55.4367089Z 
2023-01-11T21:06:55.4367555Z Expand the folded group to see the log file of test_hub
2023-01-11T21:06:55.4368508Z ##[group]PRINTING LOG FILE of test_hub (/var/lib/jenkins/workspace/test/test-reports/test_hub_8yas6ari)
2023-01-11T21:06:55.4368728Z 
2023-01-11T21:06:55.4368941Z ##[endgroup]
2023-01-11T21:06:55.4369392Z FINISHED PRINTING LOG FILE of test_hub (/var/lib/jenkins/workspace/test/test-reports/test_hub_8yas6ari)
2023-01-11T21:06:55.4369589Z 
2023-01-11T21:06:55.9756839Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:56.0929516Z Ignoring disabled issues:  []
2023-01-11T21:06:56.1079286Z Running test_matmul_cuda ... [2023-01-11 21:06:56.107626]
2023-01-11T21:06:56.1081065Z Executing ['/opt/conda/bin/python', '-bb', 'test_matmul_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:56.107881]
2023-01-11T21:06:57.3134540Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:57.4303083Z Ignoring disabled issues:  []
2023-01-11T21:06:57.4454864Z Running test_decomp ... [2023-01-11 21:06:57.445184]
2023-01-11T21:06:57.4456390Z Executing ['/opt/conda/bin/python', '-bb', 'test_decomp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:57.445413]
2023-01-11T21:06:57.9517193Z 
2023-01-11T21:06:57.9517679Z Expand the folded group to see the log file of test_matmul_cuda
2023-01-11T21:06:57.9518749Z ##[group]PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_b660ykoy)
2023-01-11T21:06:57.9519149Z 
2023-01-11T21:06:57.9519308Z Running tests...
2023-01-11T21:06:57.9519997Z ----------------------------------------------------------------------
2023-01-11T21:06:57.9520181Z 
2023-01-11T21:06:57.9520379Z ----------------------------------------------------------------------
2023-01-11T21:06:57.9520619Z Ran 0 tests in 0.000s
2023-01-11T21:06:57.9520732Z 
2023-01-11T21:06:57.9520793Z OK
2023-01-11T21:06:57.9520891Z 
2023-01-11T21:06:57.9520965Z Generating XML reports...
2023-01-11T21:06:57.9521291Z Test results will be stored in test-reports/python-unittest/test_matmul_cuda
2023-01-11T21:06:57.9521469Z 
2023-01-11T21:06:57.9521683Z ##[endgroup]
2023-01-11T21:06:57.9522056Z FINISHED PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_b660ykoy)
2023-01-11T21:06:57.9522271Z 
2023-01-11T21:06:59.8082696Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:06:59.9478622Z Ignoring disabled issues:  []
2023-01-11T21:06:59.9633141Z Running test_quantization ... [2023-01-11 21:06:59.962977]
2023-01-11T21:06:59.9634373Z Executing ['/opt/conda/bin/python', '-bb', 'test_quantization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:06:59.963223]
2023-01-11T21:20:41.8164088Z 
2023-01-11T21:20:41.8164606Z Expand the folded group to see the log file of test_quantization
2023-01-11T21:20:41.8191418Z ##[group]PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_igg94808)
2023-01-11T21:20:41.8192073Z Test results will be stored in test-reports/python-unittest/test_quantization
2023-01-11T21:20:41.8192695Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2023-01-11T21:20:41.8193250Z   warnings.warn('Lazy modules are a new feature under heavy development '
2023-01-11T21:20:41.8193445Z 
2023-01-11T21:20:41.8193566Z Running tests...
2023-01-11T21:20:41.8194002Z ----------------------------------------------------------------------
2023-01-11T21:20:41.8195002Z   test_modules_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.009s)
2023-01-11T21:20:41.8195510Z   test_modules_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8195971Z   test_modules_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8196670Z   test_modules_intrinsic_qat_conv_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8197384Z   test_modules_intrinsic_qat_linear_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8198105Z   test_modules_intrinsic_qat_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8198614Z   test_modules_intrinsic_quantized_bn_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8199414Z   test_modules_intrinsic_quantized_conv_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8200048Z   test_modules_intrinsic_quantized_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8200492Z   test_modules_nn_intrinsic_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8200946Z   test_package_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2023-01-11T21:20:41.8201422Z   test_package_import_nn_intrinsic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic)
2023-01-11T21:20:41.8202036Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s)
2023-01-11T21:20:41.8202723Z   test_package_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic)
2023-01-11T21:20:41.8203107Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s)
2023-01-11T21:20:41.8203653Z   test_package_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic)
2023-01-11T21:20:41.8204054Z Tests the migration of the torch.nn.intrinsic.quantized ... ok (0.001s)
2023-01-11T21:20:41.8204409Z   test_functional_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2023-01-11T21:20:41.8204775Z Tests the migration of the torch.nn.quantized.functional ... ok (0.001s)
2023-01-11T21:20:41.8205157Z   test_import_nn_qat_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8205595Z   test_import_nn_qat_dynamic_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8206028Z   test_import_nn_qat_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8206617Z   test_import_nn_qat_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.000s)
2023-01-11T21:20:41.8207119Z   test_import_nn_quantizable_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8207571Z   test_import_nn_quantizable_rnn (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8208019Z   test_import_nn_quantized_dynamic_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8208449Z   test_modules_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8208876Z   test_modules_batchnorm (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8209300Z   test_modules_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8209724Z   test_modules_dropout (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8210145Z   test_modules_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8210584Z   test_modules_functional_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8211017Z   test_modules_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8211435Z   test_modules_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8211851Z   test_modules_normalization (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8212272Z   test_modules_utils (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8212694Z   test_package_import_nn_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.000s)
2023-01-11T21:20:41.8213115Z   test_package_import_nn_qat_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2023-01-11T21:20:41.8213467Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s)
2023-01-11T21:20:41.8213823Z   test_package_import_nn_qat_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2023-01-11T21:20:41.8214169Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s)
2023-01-11T21:20:41.8216595Z   test_package_import_nn_quantizable (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.000s)
2023-01-11T21:20:41.8217293Z   test_package_import_nn_quantizable_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2023-01-11T21:20:41.8218040Z Tests the migration of the torch.nn.quantizable.modules ... ok (0.001s)
2023-01-11T21:20:41.8218467Z   test_package_import_nn_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2023-01-11T21:20:41.8218931Z   test_package_import_nn_quantized_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.000s)
2023-01-11T21:20:41.8219381Z   test_package_import_nn_quantized_dynamic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2023-01-11T21:20:41.8219757Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s)
2023-01-11T21:20:41.8220135Z   test_package_import_nn_quantized_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2023-01-11T21:20:41.8220508Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s)
2023-01-11T21:20:41.8220887Z   test_function_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8221422Z   test_function_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8221954Z   test_function_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8222429Z   test_function_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8222868Z   test_function_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8223320Z   test_function_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8223794Z   test_function_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8224259Z   test_function_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8224707Z   test_function_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8225162Z   test_function_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8225606Z   test_function_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2023-01-11T21:20:41.8226064Z   test_package_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8226510Z   test_package_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8226983Z   test_package_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8227452Z   test_package_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8227909Z   test_package_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8228358Z   test_package_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8228828Z   test_package_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8229295Z   test_package_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8229748Z   test_package_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8230189Z   test_package_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8230634Z   test_package_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.000s)
2023-01-11T21:20:41.8231071Z   test_function_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8231499Z   test_function_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8231947Z   test_function_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8232390Z   test_function_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8234935Z   test_function_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8235760Z   test_function_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8236312Z   test_function_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8236806Z   test_function_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8237386Z   test_function_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8238048Z   test_function_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8238928Z   test_function_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8239446Z   test_function_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8239892Z   test_package_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8240322Z   test_package_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8240773Z   test_package_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8241217Z   test_package_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8241673Z   test_package_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8242121Z   test_package_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8242579Z   test_package_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8245136Z   test_package_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8245960Z   test_package_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8246844Z   test_package_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2023-01-11T21:20:41.8247730Z   test_package_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8248665Z   test_package_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.000s)
2023-01-11T21:20:41.8249577Z   test_backend_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.004s)
2023-01-11T21:20:41.8250495Z   test_backend_config_set_backend_pattern_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8251383Z   test_backend_config_set_name (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8252235Z   test_backend_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s)
2023-01-11T21:20:41.8253096Z   test_backend_op_config_add_dtype_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8253994Z   test_backend_op_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.003s)
2023-01-11T21:20:41.8254910Z   test_backend_op_config_set_extra_inputs_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8255829Z   test_backend_op_config_set_fused_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8256877Z   test_backend_op_config_set_fuser_method (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8257903Z   test_backend_op_config_set_input_output_observed (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8258848Z   test_backend_op_config_set_input_type_to_index (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8259815Z   test_backend_op_config_set_num_tensor_args_to_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8260750Z   test_backend_op_config_set_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8261658Z   test_backend_op_config_set_qat_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8262592Z   test_backend_op_config_set_reference_quantized_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8263525Z   test_backend_op_config_set_root_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8264410Z   test_backend_op_config_set_root_node_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8265301Z   test_backend_op_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s)
2023-01-11T21:20:41.8266155Z   test_dtype_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8266988Z   test_dtype_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2023-01-11T21:20:41.8267832Z   test_conv_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (1.205s)
2023-01-11T21:20:41.8268729Z   test_linear_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.748s)
2023-01-11T21:20:41.8269605Z   test_compare_tensor_scalar (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.569s)
2023-01-11T21:20:41.8270424Z   test_compare_tensor_tensor (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.318s)
2023-01-11T21:20:41.8271335Z   test_erase_class_tensor_shapes (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.016s)
2023-01-11T21:20:41.8272303Z   test_quantization_modules (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.087s)
2023-01-11T21:20:41.8274356Z   test_rnn_cell_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:510: UserWarning: quantize_rnn_cell_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead.
2023-01-11T21:20:41.8275687Z   warnings.warn("quantize_rnn_cell_modules function has been deprecated. "
2023-01-11T21:20:41.8277192Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:101: UserWarning: torch.jit.QuantizedRNNCellBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead.
2023-01-11T21:20:41.8278362Z   "torch.jit.QuantizedRNNCellBase is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8279898Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:214: UserWarning: torch.jit.QuantizedLSTMCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTMCell instead.
2023-01-11T21:20:41.8281039Z   "torch.jit.QuantizedLSTMCell is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8282553Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:237: UserWarning: torch.jit.QuantizedGRUCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRUCell instead.
2023-01-11T21:20:41.8283774Z   "torch.jit.QuantizedGRUCell is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8285067Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:179: UserWarning: torch.jit.QuantizedRNNCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead.
2023-01-11T21:20:41.8286003Z   "torch.jit.QuantizedRNNCell is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8286356Z ok (0.107s)
2023-01-11T21:20:41.8287385Z   test_rnn_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:556: UserWarning: quantize_rnn_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead.
2023-01-11T21:20:41.8288296Z   warnings.warn("quantize_rnn_modules function has been deprecated. "
2023-01-11T21:20:41.8289351Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:265: UserWarning: torch.jit.QuantizedRNNBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic instead.
2023-01-11T21:20:41.8290172Z   "torch.jit.QuantizedRNNBase is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8291283Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:370: UserWarning: torch.jit.QuantizedLSTM is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTM instead.
2023-01-11T21:20:41.8292157Z   "torch.jit.QuantizedLSTM is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8293236Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:450: UserWarning: torch.jit.QuantizedGRU is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRU instead.
2023-01-11T21:20:41.8294035Z   "torch.jit.QuantizedGRU is deprecated and will be removed in an upcoming "
2023-01-11T21:20:41.8294431Z ok (0.076s)
2023-01-11T21:20:41.8295097Z   test_device_affinity (quantization.core.test_workflow_module.TestDistributed) ... skip: multi-GPU not supported (0.000s)
2023-01-11T21:20:41.8295743Z   test_fake_quant_preserves_buffers (quantization.core.test_workflow_module.TestDistributed)
2023-01-11T21:20:41.8296341Z Tests that fake quant only modifies buffers in place. Note: this is important ... ok (0.003s)
2023-01-11T21:20:41.8296970Z   test_observers_preserve_buffers (quantization.core.test_workflow_module.TestDistributed)
2023-01-11T21:20:41.8297590Z Tests that observers only modify buffers in place. Note: this is important ... ok (0.009s)
2023-01-11T21:20:41.8298179Z   test_qat_convbn_fused_syncbn_replacement (quantization.core.test_workflow_module.TestDistributed)
2023-01-11T21:20:41.8299492Z Tests that SyncBatchNorm replacement works for fused ConvBN. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2023-01-11T21:20:41.8300358Z   reduce_range will be deprecated in a future release of PyTorch."
2023-01-11T21:20:41.8300717Z ok (0.005s)
2023-01-11T21:20:41.8301165Z   test_qat_data_parallel (quantization.core.test_workflow_module.TestDistributed)
2023-01-11T21:20:41.8301906Z Tests that doing QAT in nn.DataParallel does not crash. ... skip: multi-GPU not supported (0.002s)
2023-01-11T21:20:41.8302534Z   test_syncbn_preserves_qconfig (quantization.core.test_workflow_module.TestDistributed)
2023-01-11T21:20:41.8304060Z Makes sure that if a BatchNorm is not fused and a qconfig exists, ... ok (0.001s)
2023-01-11T21:20:41.8304582Z   test_cell_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2023-01-11T21:20:41.8305675Z /opt/conda/lib/python3.7/site-packages/torch/_utils.py:309: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8306226Z   device=storage.device,
2023-01-11T21:20:41.8306395Z ok (0.673s)
2023-01-11T21:20:41.8306850Z   test_dynamic_conv1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8307451Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8307938Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8308400Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8308881Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8309353Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8309819Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8310271Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8310736Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8311214Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8311687Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8312149Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8312600Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8313063Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8313630Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8314099Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8314797Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:61: UserWarning: The current implementation of the DynamicQuantizedConv1d module has poor numerical accuracy and its use is not recommended
2023-01-11T21:20:41.8315174Z   self._get_name()
2023-01-11T21:20:41.8315863Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:471: UserWarning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp:82.)
2023-01-11T21:20:41.8316406Z   return callable(*args, **kwargs)
2023-01-11T21:20:41.8316594Z ok (1.089s)
2023-01-11T21:20:41.8317032Z   test_dynamic_conv2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8317625Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8318103Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8318577Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8319033Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8319499Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8319973Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8320435Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8320903Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8321354Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8321826Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8322294Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8322756Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8323207Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8323835Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8324307Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8325009Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:126: UserWarning: The current implementation of the DynamicQuantizedConv2d module has poor numerical accuracy and its use is not recommended
2023-01-11T21:20:41.8325403Z   self._get_name()
2023-01-11T21:20:41.8325560Z ok (0.932s)
2023-01-11T21:20:41.8326277Z   test_dynamic_conv3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:191: UserWarning: The current implementation of the DynamicQuantizedConv3d module has poor numerical accuracy and its use is not recommended
2023-01-11T21:20:41.8326880Z   self._get_name()
2023-01-11T21:20:41.8327040Z ok (0.372s)
2023-01-11T21:20:41.8327505Z   test_dynamic_convtranspose1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8328107Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8328579Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8329054Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8329507Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8329980Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8330446Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8330912Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8331365Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8331826Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8332297Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8332761Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8333226Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8333678Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8334141Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8334611Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8335327Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:261: UserWarning: The current implementation of the DynamicQuantizedConvTranpose1d module has poor numerical accuracy and its use is not recommended
2023-01-11T21:20:41.8335730Z   self._get_name()
2023-01-11T21:20:41.8335887Z ok (1.069s)
2023-01-11T21:20:41.8336353Z   test_dynamic_convtranspose2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8337015Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8337488Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8337943Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8338416Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8338883Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8339347Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8339796Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8340257Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8340729Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8341197Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8341664Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8342114Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8342581Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8343047Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8343512Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2023-01-11T21:20:41.8344207Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:322: UserWarning: The current implementation of the DynamicQuantizedConvTranpose2d module has poor numerical accuracy and its use is not recommended
2023-01-11T21:20:41.8344611Z   self._get_name()
2023-01-11T21:20:41.8344777Z ok (1.100s)
2023-01-11T21:20:41.8345529Z   test_dynamic_convtranspose3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:383: UserWarning: The current implementation of the DynamicQuantizedConvTranpose3d module has poor numerical accuracy and its use is not recommended
2023-01-11T21:20:41.8346033Z   self._get_name()
2023-01-11T21:20:41.8346200Z ok (0.467s)
2023-01-11T21:20:41.8346518Z   test_gru_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (0.315s)
2023-01-11T21:20:41.8346926Z   test_linear_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (20.668s)
2023-01-11T21:20:41.8347350Z   test_lstm_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (2.743s)
2023-01-11T21:20:41.8347741Z   test_dynamic_conv1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.047s)
2023-01-11T21:20:41.8348125Z   test_dynamic_conv2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.041s)
2023-01-11T21:20:41.8348490Z   test_dynamic_conv3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.040s)
2023-01-11T21:20:41.8348888Z   test_dynamic_convtranspose1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.040s)
2023-01-11T21:20:41.8349301Z   test_dynamic_convtranspose2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.040s)
2023-01-11T21:20:41.8349710Z   test_dynamic_convtranspose3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.010s)
2023-01-11T21:20:41.8350198Z   test_linear_prepack_fp16_numerics (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8350669Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8351017Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8351358Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8351685Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8352026Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8352361Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8352699Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8353022Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8353465Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8353802Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8354126Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8354461Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8354803Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8355138Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8355462Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8355804Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8356144Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8356466Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8356706Z ok (0.098s)
2023-01-11T21:20:41.8356975Z   test_qlinear (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (1.706s)
2023-01-11T21:20:41.8357366Z   test_qlinear_dynamic_fp16 (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.109s)
2023-01-11T21:20:41.8357741Z   test_qlinear_legacy (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.225s)
2023-01-11T21:20:41.8358115Z   test_qlstmGRU (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (6.515s)
2023-01-11T21:20:41.8358525Z   test_qrnncell (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (8.919s)
2023-01-11T21:20:41.8358867Z   test_converged (quantization.eager.test_equalize_eager.TestEqualizeEager)
2023-01-11T21:20:41.8359219Z Sanity checks on _equalize.converged working ... ok (0.002s)
2023-01-11T21:20:41.8359549Z   test_cross_layer_equalization (quantization.eager.test_equalize_eager.TestEqualizeEager)
2023-01-11T21:20:41.8359900Z applies _equalize.cross_layer_equalization on two modules and checks ... ok (0.002s)
2023-01-11T21:20:41.8360217Z   test_equalize (quantization.eager.test_equalize_eager.TestEqualizeEager)
2023-01-11T21:20:41.8360539Z First checks to see if _equalize.equalize can handle multiple ... ok (0.016s)
2023-01-11T21:20:41.8360877Z   test_equalize_fused_convrelu (quantization.eager.test_equalize_eager.TestEqualizeEager)
2023-01-11T21:20:41.8361195Z Checks to see if eager mode equalization supports fused ... ok (0.035s)
2023-01-11T21:20:41.8361532Z   test_equalize_fused_linearrelu (quantization.eager.test_equalize_eager.TestEqualizeEager)
2023-01-11T21:20:41.8361864Z Checks to see if eager mode equalization supports fused ... ok (0.025s)
2023-01-11T21:20:41.8362196Z   test_input_weight_eq_observer (quantization.fx.test_equalize_fx.TestEqualizeFx) ... ok (0.223s)
2023-01-11T21:20:41.8362556Z   test_input_weight_equalization_activation_values (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8363345Z After applying the equalization functions check if the input ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:1436: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2023-01-11T21:20:41.8364041Z   "Passing a QConfig dictionary to prepare is deprecated and will not be supported "
2023-01-11T21:20:41.8364722Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:1442: UserWarning: Passing a QConfig dictionary to prepare for equalization is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2023-01-11T21:20:41.8365218Z   "Passing a QConfig dictionary to prepare for equalization is deprecated and will not "
2023-01-11T21:20:41.8365469Z ok (0.072s)
2023-01-11T21:20:41.8365738Z   test_input_weight_equalization_branching (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8366364Z Tests that graphs containing branches are prepared correctly. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:713: UserWarning: Cannot equalize linear1 because it is part of a branch.
2023-01-11T21:20:41.8366770Z   f"Cannot equalize {node} because it is part of a branch."
2023-01-11T21:20:41.8367238Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:713: UserWarning: Cannot equalize linear2 because it is part of a branch.
2023-01-11T21:20:41.8367591Z   f"Cannot equalize {node} because it is part of a branch."
2023-01-11T21:20:41.8367802Z ok (0.110s)
2023-01-11T21:20:41.8368055Z   test_input_weight_equalization_convert (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8368867Z Tests that the modified model for equalization (before quantization) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear1_packed_weight_0 target linear1_packed_weight_0 linear1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8369493Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8370169Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear2_packed_weight_0 target linear2_packed_weight_0 linear2_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8370703Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8371469Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear_packed_weight_0 target linear_packed_weight_0 linear_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8372023Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8372686Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv1_packed_weight_0 target conv1_packed_weight_0 conv1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8373230Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8373882Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv2_packed_weight_0 target conv2_packed_weight_0 conv2_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8374415Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8375070Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv_packed_weight_0 target conv_packed_weight_0 conv_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8375610Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8375828Z ok (3.093s)
2023-01-11T21:20:41.8376112Z   test_input_weight_equalization_equalization_scales (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8376472Z After applying the equalization functions, check if the equalization ... ok (0.070s)
2023-01-11T21:20:41.8376813Z   test_input_weight_equalization_graphs (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8377446Z Tests that the modified model for equalization has the same graph ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:303: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2023-01-11T21:20:41.8377881Z   "must run observer before calling calculate_qparams. " +
2023-01-11T21:20:41.8378449Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/_equalize.py:191: UserWarning: Must run observer before calling calculate_equalization_scale. Returning default equalization scale torch.tensor(1).
2023-01-11T21:20:41.8378880Z   "Must run observer before calling calculate_equalization_scale. " +
2023-01-11T21:20:41.8379464Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/_equalize.py:103: UserWarning: Must call calculate_equalization_scale before calling calculate_scaled_minmax. Will not scale the next quantization observer.
2023-01-11T21:20:41.8379921Z   "Must call calculate_equalization_scale before calling calculate_scaled_minmax. " +
2023-01-11T21:20:41.8380445Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2023-01-11T21:20:41.8380823Z   "must run observer before calling calculate_qparams. " +
2023-01-11T21:20:41.8381026Z ok (0.418s)
2023-01-11T21:20:41.8381295Z   test_input_weight_equalization_prepare (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8381626Z Tests that graphs created after prepare_fx is as expected ... ok (0.183s)
2023-01-11T21:20:41.8381943Z   test_input_weight_equalization_results (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8382386Z Tests that for small models, the results of quantized models that ... ok (0.335s)
2023-01-11T21:20:41.8382731Z   test_input_weight_equalization_weights_bias (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8383156Z After applying the equalization functions check if the weights and ... ok (0.070s)
2023-01-11T21:20:41.8383509Z   test_selective_equalization (quantization.fx.test_equalize_fx.TestEqualizeFx)
2023-01-11T21:20:41.8383863Z Tests that we are able to run numeric suite on the equalized model ... ok (0.137s)
2023-01-11T21:20:41.8384211Z   test_dict_return_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.084s)
2023-01-11T21:20:41.8384581Z   test_matching_failure_node_count (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.048s)
2023-01-11T21:20:41.8384972Z   test_matching_failure_node_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.036s)
2023-01-11T21:20:41.8385331Z   test_methods (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher)
2023-01-11T21:20:41.8385629Z Verify that graph matching works on methods ... ok (0.142s)
2023-01-11T21:20:41.8385936Z   test_nodes_before_cat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.081s)
2023-01-11T21:20:41.8386728Z   test_nodes_with_equal_types_get_matched (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1206: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2023-01-11T21:20:41.8387219Z   Returning default scale and zero point "
2023-01-11T21:20:41.8387414Z ok (0.123s)
2023-01-11T21:20:41.8387670Z   test_op_relationship_mapping (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher)
2023-01-11T21:20:41.8388002Z Tests that the mapping of op relationships is complete. ... ok (0.008s)
2023-01-11T21:20:41.8388335Z   test_results_order (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.072s)
2023-01-11T21:20:41.8389129Z   test_simple_fun (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8389761Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8390001Z ok (0.175s)
2023-01-11T21:20:41.8390268Z   test_simple_fusion (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.084s)
2023-01-11T21:20:41.8390611Z   test_simple_mod (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.060s)
2023-01-11T21:20:41.8390971Z   test_simple_mod_multi (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.072s)
2023-01-11T21:20:41.8391336Z   test_simple_tensor_ops (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.086s)
2023-01-11T21:20:41.8391700Z   test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher)
2023-01-11T21:20:41.8392017Z Verify that graph matching works on user defined functions ... ok (0.136s)
2023-01-11T21:20:41.8392771Z   test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
2023-01-11T21:20:41.8393465Z   f"The parameter '{pretrained_param}' is deprecated since 0.13 and may be removed in the future, "
2023-01-11T21:20:41.8394175Z /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
2023-01-11T21:20:41.8394587Z   warnings.warn(msg)
2023-01-11T21:20:41.8394764Z ok (3.135s)
2023-01-11T21:20:41.8395054Z   test_mobilenet_v2_qat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... ok (4.049s)
2023-01-11T21:20:41.8395475Z   test_add_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:20:41.8396496Z   test_add_mul_inputs_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2023-01-11T21:20:41.8397171Z   warnings.warn("The TorchScript type system doesn't support "
2023-01-11T21:20:41.8397394Z ok (2.649s)
2023-01-11T21:20:41.8397713Z   test_add_shadow_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:20:41.8398601Z   test_add_shadow_loggers_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_1 target _packed_weight_1 _packed_weight_1 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8399253Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8399491Z ok (0.638s)
2023-01-11T21:20:41.8399789Z   test_add_shadow_loggers_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.444s)
2023-01-11T21:20:41.8400186Z   test_add_shadow_loggers_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8400589Z Verify that add_loggers works on methods ... skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast
2023-01-11T21:20:41.8401037Z skipping shadow loggers for node_b: torch.ao.quantization.observer.FixedQParamsObserver, start_node_a: str, unknown dtype cast
2023-01-11T21:20:41.8401439Z skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast
2023-01-11T21:20:41.8401659Z ok (0.119s)
2023-01-11T21:20:41.8401954Z   test_add_shadow_loggers_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.694s)
2023-01-11T21:20:41.8402378Z   test_add_shadow_loggers_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.350s)
2023-01-11T21:20:41.8402792Z   test_extend_logger_results_with_comparison (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.079s)
2023-01-11T21:20:41.8403838Z   test_extract_weights_conv_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_2 target _packed_weight_2 _packed_weight_2 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8404499Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8405151Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_3 target _packed_weight_3 _packed_weight_3 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8405691Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8406321Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_4 target _packed_weight_4 _packed_weight_4 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8406856Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8407493Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_5 target _packed_weight_5 _packed_weight_5 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8408081Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8408304Z ok (0.833s)
2023-01-11T21:20:41.8408643Z   test_extract_weights_conv_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.855s)
2023-01-11T21:20:41.8409088Z   test_extract_weights_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:20:41.8409527Z   test_extract_weights_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.237s)
2023-01-11T21:20:41.8409959Z   test_extract_weights_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.079s)
2023-01-11T21:20:41.8410642Z   test_extract_weights_linear_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.397s)
2023-01-11T21:20:41.8411305Z   test_extract_weights_linear_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.400s)
2023-01-11T21:20:41.8411725Z   test_extract_weights_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.948s)
2023-01-11T21:20:41.8412124Z   test_extract_weights_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (1.117s)
2023-01-11T21:20:41.8412532Z   test_fp16_shadows_fp32 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.057s)
2023-01-11T21:20:41.8413154Z   test_int8_shadows_fp32_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast
2023-01-11T21:20:41.8413867Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast
2023-01-11T21:20:41.8414395Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._ops.quantized.PyCapsule.mul, unsupported
2023-01-11T21:20:41.8414911Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.mul, unknown dtype cast
2023-01-11T21:20:41.8415425Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unsupported
2023-01-11T21:20:41.8415943Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unknown dtype cast
2023-01-11T21:20:41.8416278Z ok (0.167s)
2023-01-11T21:20:41.8416575Z   test_int8_shadows_fp32_simple (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.098s)
2023-01-11T21:20:41.8416980Z   test_int8_shadows_int8_fun (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.110s)
2023-01-11T21:20:41.8417381Z   test_int8_shadows_int8_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.187s)
2023-01-11T21:20:41.8417774Z   test_layer_names (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.259s)
2023-01-11T21:20:41.8418174Z   test_linear_fp16_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.396s)
2023-01-11T21:20:41.8418594Z   test_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.296s)
2023-01-11T21:20:41.8419027Z   test_linear_fp16_vs_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.056s)
2023-01-11T21:20:41.8419439Z   test_linear_fp16_weights (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.266s)
2023-01-11T21:20:41.8419844Z   test_linear_kwargs_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.046s)
2023-01-11T21:20:41.8420259Z   test_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.187s)
2023-01-11T21:20:41.8420701Z   test_logging_inputs (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8421192Z Verifies that logging inputs works correctly ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8421708Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8422017Z ok (0.560s)
2023-01-11T21:20:41.8422300Z   test_match_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.085s)
2023-01-11T21:20:41.8422715Z   test_match_activations_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.680s)
2023-01-11T21:20:41.8423129Z   test_match_activations_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.296s)
2023-01-11T21:20:41.8423535Z   test_match_activations_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8423849Z Verify that add_loggers works on methods ... ok (0.141s)
2023-01-11T21:20:41.8424191Z   test_match_activations_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.942s)
2023-01-11T21:20:41.8424603Z   test_match_activations_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.278s)
2023-01-11T21:20:41.8425109Z   test_mul_add_cat_stack_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: _operator.mul, start_node_a: _operator.mul, unsupported
2023-01-11T21:20:41.8425643Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.mul, unsupported
2023-01-11T21:20:41.8426126Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported
2023-01-11T21:20:41.8426640Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.mul, unsupported
2023-01-11T21:20:41.8427083Z skipping shadow loggers for node_b: _operator.add, start_node_a: _operator.add, unsupported
2023-01-11T21:20:41.8427489Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.add, unsupported
2023-01-11T21:20:41.8427964Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8428478Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8428982Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8429445Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2023-01-11T21:20:41.8429893Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: _operator.mul, unsupported
2023-01-11T21:20:41.8430335Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported
2023-01-11T21:20:41.8430773Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: _operator.add, unsupported
2023-01-11T21:20:41.8431193Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8431660Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8432131Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2023-01-11T21:20:41.8432484Z ok (1.122s)
2023-01-11T21:20:41.8432752Z   test_op_io_dtype_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8433135Z Tests that all the ops quantization cares about have input and output ... ok (0.010s)
2023-01-11T21:20:41.8433583Z   test_op_with_either_fp32_or_int8_input (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8434089Z Verify that shadowing works with ops which accept either fp32 or ... skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast
2023-01-11T21:20:41.8434679Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast
2023-01-11T21:20:41.8435178Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast
2023-01-11T21:20:41.8435661Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.relu, unknown dtype cast
2023-01-11T21:20:41.8436175Z skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast
2023-01-11T21:20:41.8436617Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast
2023-01-11T21:20:41.8436900Z ok (0.472s)
2023-01-11T21:20:41.8437353Z   test_op_with_only_kwargs_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8437956Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2023-01-11T21:20:41.8438416Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8438887Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2023-01-11T21:20:41.8439197Z ok (0.248s)
2023-01-11T21:20:41.8439480Z   test_ops_with_same_fp32_and_int8_signature (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8439842Z Verifies that we can match pairs of ops which have the same aten ... ok (2.674s)
2023-01-11T21:20:41.8440208Z   test_shadow_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.086s)
2023-01-11T21:20:41.8440632Z   test_shadow_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.099s)
2023-01-11T21:20:41.8441049Z   test_unsupported_op_copy_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8441563Z Copying a `call_function` node is not implemented, test that this ... skipping shadow loggers for node_b: torch.nn.functional.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy
2023-01-11T21:20:41.8442154Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy
2023-01-11T21:20:41.8442699Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy
2023-01-11T21:20:41.8443007Z ok (0.390s)
2023-01-11T21:20:41.8443288Z   test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8443903Z Verify that NS APIs work on user defined functions ... skipping shadow loggers for node_b: torch._C._nn.linear, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast
2023-01-11T21:20:41.8444470Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast
2023-01-11T21:20:41.8444884Z ok (0.314s)
2023-01-11T21:20:41.8445207Z   test_user_module (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2023-01-11T21:20:41.8446000Z For user defined modules, ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py:149: UserWarning: Passing a prepare_custom_config_dict to prepare is deprecated and will not be supported in a future version. Please pass in a PrepareCustomConfig instead.
2023-01-11T21:20:41.8446543Z   "Passing a prepare_custom_config_dict to prepare is deprecated and will not be supported "
2023-01-11T21:20:41.8446785Z ok (0.275s)
2023-01-11T21:20:41.8447084Z   test_user_module_scriptable (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.077s)
2023-01-11T21:20:41.8447518Z   test_compare_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.031s)
2023-01-11T21:20:41.8447971Z   test_compare_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.458s)
2023-01-11T21:20:41.8448948Z   test_compare_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:320: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:20:41.8449595Z   torch.tensor(weight_qparams["scale"], dtype=torch.float, device=device))
2023-01-11T21:20:41.8450299Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:323: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:20:41.8450817Z   torch.tensor(weight_qparams["zero_point"], dtype=torch.int, device=device))
2023-01-11T21:20:41.8451054Z ok (0.140s)
2023-01-11T21:20:41.8451366Z   test_compare_shadow_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.081s)
2023-01-11T21:20:41.8451829Z   test_compare_shadow_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.582s)
2023-01-11T21:20:41.8452297Z   test_compare_shadow_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.143s)
2023-01-11T21:20:41.8452737Z   test_compare_weights_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.712s)
2023-01-11T21:20:41.8453179Z   test_compare_weights_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.412s)
2023-01-11T21:20:41.8453626Z   test_compare_weights_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.235s)
2023-01-11T21:20:41.8454214Z   test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8454834Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8455322Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8455825Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8456324Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8456862Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8457381Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8457883Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8458382Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8458877Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8459359Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8459857Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8460358Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8460857Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8461338Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8461837Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8462331Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8462826Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8463309Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8463804Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8464331Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy
2023-01-11T21:20:41.8464886Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy
2023-01-11T21:20:41.8465407Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8465879Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8466346Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8466810Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8467262Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8467723Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8468185Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8468649Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8469135Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8469622Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8470113Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy
2023-01-11T21:20:41.8470449Z ok (7.044s)
2023-01-11T21:20:41.8486640Z   test_resnet18 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8487385Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8487905Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8488407Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8488910Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8489416Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8489916Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8490405Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8490907Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8491406Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8491902Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8492389Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8492887Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8493382Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8493879Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8494364Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8494871Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8495350Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8495829Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8496284Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8496880Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8497401Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8497881Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8498340Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2023-01-11T21:20:41.8498878Z skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast
2023-01-11T21:20:41.8499424Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.flatten, start_node_a: torch._VariableFunctionsClass.flatten, unknown dtype cast
2023-01-11T21:20:41.8499752Z ok (3.484s)
2023-01-11T21:20:41.8500063Z   test_sparsenn_compare_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (3.807s)
2023-01-11T21:20:41.8500694Z   test_sparsenn_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2023-01-11T21:20:41.8501380Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2023-01-11T21:20:41.8501913Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8502411Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2023-01-11T21:20:41.8502893Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8503395Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2023-01-11T21:20:41.8503948Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2023-01-11T21:20:41.8504475Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8504957Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2023-01-11T21:20:41.8505452Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2023-01-11T21:20:41.8505758Z ok (3.845s)
2023-01-11T21:20:41.8506175Z   test_conv_bn_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8506555Z ok (0.165s)
2023-01-11T21:20:41.8506850Z   test_custom_functions_and_tracer (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... working
2023-01-11T21:20:41.8507129Z working
2023-01-11T21:20:41.8507276Z GraphModule(
2023-01-11T21:20:41.8507495Z   (fc1): Linear(in_features=2, out_features=2, bias=True)
2023-01-11T21:20:41.8507747Z   (fc2): Linear(in_features=2, out_features=2, bias=True)
2023-01-11T21:20:41.8508049Z   (shadow_0_0): OutputLogger(ref_name=model, model_name=subgraph_0_0,
2023-01-11T21:20:41.8508302Z   prev_node_name=fc1, ref_node_name=fc1,
2023-01-11T21:20:41.8508556Z   ref_node_target_type=torch.nn.modules.linear.Linear
2023-01-11T21:20:41.8508818Z   results_type=node_output, index_within_arg=0,
2023-01-11T21:20:41.8509050Z   index_of_arg=0, fqn=fc1)
2023-01-11T21:20:41.8509254Z   (shadow_wrapper_0_1): GraphModule(
2023-01-11T21:20:41.8509599Z     (mod_0): QuantizedLinear(in_features=2, out_features=2, scale=0.019699348136782646, zero_point=58, qscheme=torch.per_tensor_affine)
2023-01-11T21:20:41.8509898Z     (shadow_0_1): OutputComparisonLogger
2023-01-11T21:20:41.8510088Z   )
2023-01-11T21:20:41.8510310Z   (shadow_1_0): OutputLogger(ref_name=model, model_name=subgraph_1_0,
2023-01-11T21:20:41.8510551Z   prev_node_name=fc2, ref_node_name=fc2,
2023-01-11T21:20:41.8510801Z   ref_node_target_type=torch.nn.modules.linear.Linear
2023-01-11T21:20:41.8511063Z   results_type=node_output, index_within_arg=0,
2023-01-11T21:20:41.8511264Z   index_of_arg=0, fqn=fc2)
2023-01-11T21:20:41.8511465Z   (shadow_wrapper_1_1): GraphModule(
2023-01-11T21:20:41.8511783Z     (mod_0): QuantizedLinear(in_features=2, out_features=2, scale=0.01274071168154478, zero_point=96, qscheme=torch.per_tensor_affine)
2023-01-11T21:20:41.8512091Z     (shadow_1_1): OutputComparisonLogger
2023-01-11T21:20:41.8512267Z   )
2023-01-11T21:20:41.8512413Z )
2023-01-11T21:20:41.8512503Z 
2023-01-11T21:20:41.8512507Z 
2023-01-11T21:20:41.8512512Z 
2023-01-11T21:20:41.8512587Z def forward(self, x):
2023-01-11T21:20:41.8512758Z     fc1 = self.fc1(x)
2023-01-11T21:20:41.8512990Z     shadow_wrapper_0_1 = self.shadow_wrapper_0_1(fc1, x);  x = None
2023-01-11T21:20:41.8513368Z     shadow_0_0 = self.shadow_0_0(fc1)
2023-01-11T21:20:41.8513554Z     fc2 = self.fc2(fc1)
2023-01-11T21:20:41.8513789Z     shadow_wrapper_1_1 = self.shadow_wrapper_1_1(fc2, fc1);  fc1 = None
2023-01-11T21:20:41.8514029Z     shadow_1_0 = self.shadow_1_0(fc2)
2023-01-11T21:20:41.8514203Z     return fc2
2023-01-11T21:20:41.8514365Z     
2023-01-11T21:20:41.8514592Z # To see more debug info, please use `graph_module.print_readable()`
2023-01-11T21:20:41.8514960Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8515237Z ok (0.065s)
2023-01-11T21:20:41.8515646Z   test_functions (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8516916Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:814: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){}).
2023-01-11T21:20:41.8517753Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2023-01-11T21:20:41.8518103Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2023-01-11T21:20:41.8518384Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2023-01-11T21:20:41.8518676Z   "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str))
2023-01-11T21:20:41.8518949Z ok (0.246s)
2023-01-11T21:20:41.8519347Z   test_linear_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8519733Z ok (0.030s)
2023-01-11T21:20:41.8520140Z   test_linear_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8520527Z ok (0.091s)
2023-01-11T21:20:41.8520827Z   test_logger_enabled_and_save_activations_flags (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.043s)
2023-01-11T21:20:41.8521440Z   test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8521831Z ok (4.020s)
2023-01-11T21:20:41.8522222Z   test_partial_qconfig_mapping (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... unable to find at least one qconfig for node %fc : [#users=1] = call_module[target=fc](args = (%x,), kwargs = {}), skipping
2023-01-11T21:20:41.8522718Z unable to find at least one qconfig for node %add : [#users=1] = call_function[target=operator.add](args = (%relu, %relu), kwargs = {}), skipping
2023-01-11T21:20:41.8523144Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8523571Z ok (0.038s)
2023-01-11T21:20:41.8523868Z   test_qconfig_multi_mapping_deduplication (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.001s)
2023-01-11T21:20:41.8524436Z   test_qconfig_multi_mapping_end_to_end (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8524839Z ok (0.072s)
2023-01-11T21:20:41.8525264Z   test_qconfig_multi_mapping_from_list (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8525664Z ok (0.072s)
2023-01-11T21:20:41.8525956Z   test_qconfig_multi_mapping_insert_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s)
2023-01-11T21:20:41.8526516Z   test_qconfig_multi_mapping_ordering (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2023-01-11T21:20:41.8526918Z ok (0.094s)
2023-01-11T21:20:41.8527204Z   test_qconfig_multi_mapping_repr (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.001s)
2023-01-11T21:20:41.8527644Z   test_qconfig_multi_mapping_retroactive_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.001s)
2023-01-11T21:20:41.8528062Z   test_fq_module_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.183s)
2023-01-11T21:20:41.8528455Z   test_fq_serializable_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.003s)
2023-01-11T21:20:41.8528836Z   test_quant_min_max_override (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.001s)
2023-01-11T21:20:41.8529208Z   test_backward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2023-01-11T21:20:41.8529614Z Tests the backward method. ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.107s)
2023-01-11T21:20:41.8530038Z   test_backward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.015s)
2023-01-11T21:20:41.8530475Z   test_backward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2023-01-11T21:20:41.8530890Z   test_backward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2023-01-11T21:20:41.8531221Z Tests the backward method. ... skip: temporarily disable the test (0.005s)
2023-01-11T21:20:41.8531583Z   test_backward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.011s)
2023-01-11T21:20:41.8532015Z   test_backward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2023-01-11T21:20:41.8532486Z   test_fake_quant_control (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.009s)
2023-01-11T21:20:41.8532886Z   test_fake_quant_per_channel_qparam_range (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.354s)
2023-01-11T21:20:41.8533369Z   test_fake_quant_preserves_qparam_shapes_for_activations (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.005s)
2023-01-11T21:20:41.8533773Z   test_fixed_qparams_fq_module (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.111s)
2023-01-11T21:20:41.8534509Z   test_forward_backward_per_tensor_with_amp (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... /opt/conda/lib/python3.7/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
2023-01-11T21:20:41.8535107Z   warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
2023-01-11T21:20:41.8535362Z ok (0.006s)
2023-01-11T21:20:41.8535620Z   test_forward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2023-01-11T21:20:41.8535972Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.131s)
2023-01-11T21:20:41.8536358Z   test_forward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.013s)
2023-01-11T21:20:41.8536789Z   test_forward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2023-01-11T21:20:41.8537237Z   test_forward_per_channel_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.012s)
2023-01-11T21:20:41.8537632Z   test_forward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2023-01-11T21:20:41.8537975Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.104s)
2023-01-11T21:20:41.8538337Z   test_forward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.011s)
2023-01-11T21:20:41.8538777Z   test_forward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2023-01-11T21:20:41.8539222Z   test_forward_per_tensor_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.005s)
2023-01-11T21:20:41.8539625Z   test_fq_module_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.146s)
2023-01-11T21:20:41.8540002Z   test_fq_serializable_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.008s)
2023-01-11T21:20:41.8540502Z   test_learnable_backward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2023-01-11T21:20:41.8541033Z   test_learnable_backward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s)
2023-01-11T21:20:41.8541475Z   test_learnable_backward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.279s)
2023-01-11T21:20:41.8541905Z   test_learnable_backward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s)
2023-01-11T21:20:41.8542344Z   test_learnable_forward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.144s)
2023-01-11T21:20:41.8542783Z   test_learnable_forward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s)
2023-01-11T21:20:41.8543314Z   test_learnable_forward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2023-01-11T21:20:41.8543831Z   test_learnable_forward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.003s)
2023-01-11T21:20:41.8544312Z   test_numerical_consistency_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.080s)
2023-01-11T21:20:41.8544752Z   test_numerical_consistency_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.039s)
2023-01-11T21:20:41.8545134Z   test_forward_hooks_preserved (quantization.eager.test_fuse_eager.TestFuseEager)
2023-01-11T21:20:41.8545460Z Test case that checks whether forward pre hooks of the first module and ... ok (0.017s)
2023-01-11T21:20:41.8545815Z   test_fuse_function_customization (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.001s)
2023-01-11T21:20:41.8546179Z   test_fuse_module_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.064s)
2023-01-11T21:20:41.8546532Z   test_fuse_module_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.327s)
2023-01-11T21:20:41.8546873Z   test_fusion_conv_with_bias (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.059s)
2023-01-11T21:20:41.8547244Z   test_fusion_convtranspose_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.005s)
2023-01-11T21:20:41.8547615Z   test_fusion_linear_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.003s)
2023-01-11T21:20:41.8547969Z   test_fusion_sequential_model_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.994s)
2023-01-11T21:20:41.8548345Z   test_fusion_sequential_model_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.261s)
2023-01-11T21:20:41.8548814Z   test_fuse_addtional_fuser_method (quantization.fx.test_quantize_fx.TestFuseFx) ... skip: Temporarily skipping the test case, will enable after the simplepattern format is supported (0.002s)
2023-01-11T21:20:41.8549247Z   test_fuse_conv_bn_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.028s)
2023-01-11T21:20:41.8549573Z   test_fuse_convtranspose_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.007s)
2023-01-11T21:20:41.8549918Z   test_fuse_custom_pattern (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.009s)
2023-01-11T21:20:41.8550251Z   test_fuse_linear_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.006s)
2023-01-11T21:20:41.8550602Z   test_fuse_linear_bn_leaky_relu_onednn (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.011s)
2023-01-11T21:20:41.8550955Z   test_fuse_linear_tanh_for_onednn_backend (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.005s)
2023-01-11T21:20:41.8551299Z   test_fuse_module_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.008s)
2023-01-11T21:20:41.8551633Z   test_fusion_pattern_with_matchallnode (quantization.fx.test_quantize_fx.TestFuseFx)
2023-01-11T21:20:41.8551973Z This test tests that the node matched by MatchAllNode will be regared as an input ... ok (0.006s)
2023-01-11T21:20:41.8552303Z   test_fusion_pattern_with_multiple_inputs (quantization.fx.test_quantize_fx.TestFuseFx)
2023-01-11T21:20:41.8552626Z This test tests two keys in backend_config: root_node_getter and ... ok (0.006s)
2023-01-11T21:20:41.8552970Z   test_linear_bn_leaky_relu_not_fused_by_default (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.011s)
2023-01-11T21:20:41.8553394Z   test_linear_tanh_not_fused_by_default (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.005s)
2023-01-11T21:20:41.8553747Z   test_problematic_fuse_example (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.015s)
2023-01-11T21:20:41.8554078Z   test_qconfig_fused_module (quantization.fx.test_quantize_fx.TestFuseFx)
2023-01-11T21:20:41.8554356Z TODO: add test for all fused modules ... ok (0.039s)
2023-01-11T21:20:41.8554679Z   test_fused_backward_op_fake_quant_off (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.006s)
2023-01-11T21:20:41.8555088Z   test_fused_obs_fake_quant_backward_op (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.006s)
2023-01-11T21:20:41.8555487Z   test_fused_obs_fake_quant_moving_avg (quantization.core.test_workflow_ops.TestFusedObsFakeQuant)
2023-01-11T21:20:41.8555860Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.013s)
2023-01-11T21:20:41.8556260Z   test_fused_obs_fake_quant_moving_avg_per_channel (quantization.core.test_workflow_ops.TestFusedObsFakeQuant)
2023-01-11T21:20:41.8556623Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.037s)
2023-01-11T21:20:41.8557011Z   test_compare_fused_obs_fq_oss_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.010s)
2023-01-11T21:20:41.8557443Z   test_default_fused_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.016s)
2023-01-11T21:20:41.8557878Z   test_embedding_bag_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.019s)
2023-01-11T21:20:41.8558314Z   test_embedding_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.051s)
2023-01-11T21:20:41.8558741Z   test_fused_mod_per_channel (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.026s)
2023-01-11T21:20:41.8559162Z   test_fused_mod_reduce_range (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.001s)
2023-01-11T21:20:41.8559591Z   test_fused_obs_fq_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.005s)
2023-01-11T21:20:41.8560025Z   test_fused_obs_fq_moving_avg_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.008s)
2023-01-11T21:20:41.8560438Z   test_quantized_add_relu_fusion (quantization.jit.test_fusion_passes.TestFusionPasses) ... ok (0.018s)
2023-01-11T21:20:41.8560872Z   test_input_weight_equalization_determine_points (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.058s)
2023-01-11T21:20:41.8561362Z   test_input_weight_equalization_report_gen (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.047s)
2023-01-11T21:20:41.8561849Z   test_input_weight_equalization_report_gen_empty (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.013s)
2023-01-11T21:20:41.8562291Z   test_all_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.023s)
2023-01-11T21:20:41.8562688Z   test_multiple_run_consistent_spike_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.104s)
2023-01-11T21:20:41.8563094Z   test_no_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.158s)
2023-01-11T21:20:41.8563661Z   test_outlier_detection_determine_points (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.029s)
2023-01-11T21:20:41.8564043Z   test_constructor (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2023-01-11T21:20:41.8564347Z Tests the constructor of the ModelReport class. ... ok (0.015s)
2023-01-11T21:20:41.8564750Z   test_equalization_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2023-01-11T21:20:41.8565111Z Tests for generation of qconfigs by ModelReport API ... ok (0.056s)
2023-01-11T21:20:41.8565422Z   test_generate_report (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2023-01-11T21:20:41.8566035Z Tests model_report.generate_model_report to ensure report generation ... /var/lib/jenkins/workspace/test/quantization/fx/test_model_report_fx.py:1061: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:20:41.8566604Z   example_input = torch.tensor(torch.randint(100, (1, 3, 3, 3)), dtype=torch.float)
2023-01-11T21:20:41.8566834Z ok (0.157s)
2023-01-11T21:20:41.8567093Z   test_generate_visualizer (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2023-01-11T21:20:41.8567473Z Tests that the ModelReport class can properly create the ModelReportVisualizer instance ... ok (0.033s)
2023-01-11T21:20:41.8567917Z   test_prepare_model_callibration (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2023-01-11T21:20:41.8568301Z Tests model_report.prepare_detailed_calibration that prepares the model for callibration ... ok (0.027s)
2023-01-11T21:20:41.8568704Z   test_qconfig_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2023-01-11T21:20:41.8569039Z Tests for generation of qconfigs by ModelReport API ... ok (0.055s)
2023-01-11T21:20:41.8569421Z   test_nested_detection_case (quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic) ... ok (0.048s)
2023-01-11T21:20:41.8569845Z   test_conv_sub_class_considered (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.023s)
2023-01-11T21:20:41.8570259Z   test_fusion_layer_in_sequential (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.022s)
2023-01-11T21:20:41.8570683Z   test_multi_linear_model_without_per_channel (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.014s)
2023-01-11T21:20:41.8571106Z   test_multiple_q_config_options (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.022s)
2023-01-11T21:20:41.8571503Z   test_qat_aware_model_example (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.011s)
2023-01-11T21:20:41.8571909Z   test_sequential_model_format (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.020s)
2023-01-11T21:20:41.8572299Z   test_simple_conv (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.014s)
2023-01-11T21:20:41.8572690Z   test_observer_after_relu (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.019s)
2023-01-11T21:20:41.8573080Z   test_random_epochs_and_batches (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.114s)
2023-01-11T21:20:41.8573489Z   test_single_batch_of_ones (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.003s)
2023-01-11T21:20:41.8573887Z   test_zero_tensor_errors (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.013s)
2023-01-11T21:20:41.8574299Z   test_generate_tables_match_with_report (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2023-01-11T21:20:41.8574609Z Tests the generate_table_view() ... ok (0.034s)
2023-01-11T21:20:41.8574929Z   test_generate_tables_no_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2023-01-11T21:20:41.8575240Z Tests the generate_table_view() ... ok (0.031s)
2023-01-11T21:20:41.8575556Z   test_generate_tables_single_feat_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2023-01-11T21:20:41.8575872Z Tests the generate_table_view() ... ok (0.032s)
2023-01-11T21:20:41.8576187Z   test_get_modules_and_features (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2023-01-11T21:20:41.8576553Z Tests the get_all_unique_module_fqns and get_all_unique_feature_names methods of ... ok (0.032s)
2023-01-11T21:20:41.8576916Z   test_histogram_observer (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (18.820s)
2023-01-11T21:20:41.8577340Z   test_histogram_observer_against_reference (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (4.419s)
2023-01-11T21:20:41.8577775Z   test_histogram_observer_correct_numel (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.003s)
2023-01-11T21:20:41.8578177Z   test_histogram_observer_extreme_inputs (quantization.core.test_workflow_module.TestHistogramObserver)
2023-01-11T21:20:41.8578538Z Ensures that the HistogramObserver is able to work correctly in ... ok (0.002s)
2023-01-11T21:20:41.8578908Z   test_histogram_observer_one_sided (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.193s)
2023-01-11T21:20:41.8579324Z   test_histogram_observer_same_inputs (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.578s)
2023-01-11T21:20:41.8579720Z   test_observer_scriptable (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.499s)
2023-01-11T21:20:41.8580170Z   test_fake_quant_true_quant_compare (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.251s)
2023-01-11T21:20:41.8580634Z   test_float_quant_compare_per_channel (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.035s)
2023-01-11T21:20:41.8581065Z   test_float_quant_compare_per_tensor (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.150s)
2023-01-11T21:20:41.8581492Z   test_weight_only_activation_only_fakequant (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.356s)
2023-01-11T21:20:41.8581931Z   test_compare_model_outputs_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.156s)
2023-01-11T21:20:41.8582374Z   test_compare_model_outputs_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.164s)
2023-01-11T21:20:41.8582816Z   test_compare_model_outputs_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.029s)
2023-01-11T21:20:41.8583248Z   test_compare_model_outputs_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.667s)
2023-01-11T21:20:41.8583682Z   test_compare_model_outputs_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.062s)
2023-01-11T21:20:41.8584114Z   test_compare_model_stub_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.215s)
2023-01-11T21:20:41.8584547Z   test_compare_model_stub_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.162s)
2023-01-11T21:20:41.8584970Z   test_compare_model_stub_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.013s)
2023-01-11T21:20:41.8585405Z   test_compare_model_stub_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.665s)
2023-01-11T21:20:41.8585835Z   test_compare_model_stub_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.056s)
2023-01-11T21:20:41.8586258Z   test_compare_model_stub_partial (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.610s)
2023-01-11T21:20:41.8586673Z   test_compare_model_stub_submodule_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.037s)
2023-01-11T21:20:41.8587099Z   test_compare_weights_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.107s)
2023-01-11T21:20:41.8587526Z   test_compare_weights_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.011s)
2023-01-11T21:20:41.8587958Z   test_compare_weights_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.647s)
2023-01-11T21:20:41.8588374Z   test_compare_weights_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.026s)
2023-01-11T21:20:41.8589509Z   test_mobilenet_v2 (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights.
2023-01-11T21:20:41.8590173Z   warnings.warn(msg)
2023-01-11T21:20:41.8590646Z Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
2023-01-11T21:20:41.8590896Z 
2023-01-11T21:20:41.8590979Z   0%|          | 0.00/13.6M [00:00<?, ?B/s]
2023-01-11T21:20:41.8591169Z 100%|##########| 13.6M/13.6M [00:00<00:00, 429MB/s]
2023-01-11T21:20:41.8591381Z ok (0.923s)
2023-01-11T21:20:41.8592395Z   test_mobilenet_v3 (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V3_Large_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V3_Large_Weights.DEFAULT` to get the most up-to-date weights.
2023-01-11T21:20:41.8593032Z   warnings.warn(msg)
2023-01-11T21:20:41.8593575Z Downloading: "https://download.pytorch.org/models/mobilenet_v3_large-8738ca79.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mobilenet_v3_large-8738ca79.pth
2023-01-11T21:20:41.8593844Z 
2023-01-11T21:20:41.8593929Z   0%|          | 0.00/21.1M [00:00<?, ?B/s]
2023-01-11T21:20:41.8594128Z 100%|##########| 21.1M/21.1M [00:00<00:00, 420MB/s]
2023-01-11T21:20:41.8594296Z ok (1.151s)
2023-01-11T21:20:41.8594591Z   test_output_logger (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.003s)
2023-01-11T21:20:41.8594992Z   test_shadow_logger (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.001s)
2023-01-11T21:20:41.8595392Z   test_histogram_observer_consistent_buffer_shape (quantization.core.test_workflow_module.TestObserver)
2023-01-11T21:20:41.8595738Z Ensures that the buffer shapes do not change from uninitialized to ... ok (0.003s)
2023-01-11T21:20:41.8596091Z   test_histogram_observer_save_load_state_dict (quantization.core.test_workflow_module.TestObserver)
2023-01-11T21:20:41.8596403Z Smoke test on saving/loading state_dict ... ok (0.002s)
2023-01-11T21:20:41.8596711Z   test_memoryless_minmaxobserver (quantization.core.test_workflow_module.TestObserver) ... ok (0.020s)
2023-01-11T21:20:41.8597114Z   test_memoryless_perchannelminmaxobserver (quantization.core.test_workflow_module.TestObserver) ... ok (0.024s)
2023-01-11T21:20:41.8597522Z   test_observer_qparams_respects_device_affinity (quantization.core.test_workflow_module.TestObserver)
2023-01-11T21:20:41.8597978Z Ensure that the scale and zero_point returned by the observer ... skip: multi-GPU not supported (0.001s)
2023-01-11T21:20:41.8598331Z   test_observer_scriptable (quantization.core.test_workflow_module.TestObserver) ... ok (0.072s)
2023-01-11T21:20:41.8598696Z   test_per_channel_observers (quantization.core.test_workflow_module.TestObserver) ... ok (0.302s)
2023-01-11T21:20:41.8599061Z   test_per_tensor_observers (quantization.core.test_workflow_module.TestObserver) ... ok (0.075s)
2023-01-11T21:20:41.8599420Z   test_save_load_state_dict_script (quantization.core.test_workflow_module.TestObserver)
2023-01-11T21:20:41.8599751Z Tests that we can save and load state_dict for observers that are scripted ... ok (0.193s)
2023-01-11T21:20:41.8600253Z   test_state_dict_respects_device_affinity (quantization.core.test_workflow_module.TestObserver) ... skip: multi-GPU not supported (0.000s)
2023-01-11T21:20:41.8600648Z   test_zero_numel (quantization.core.test_workflow_module.TestObserver) ... ok (0.002s)
2023-01-11T21:20:41.8601226Z   test_constant_padNd (quantization.core.test_quantized_op.TestPadding) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:767: UserWarning: non-inplace resize is deprecated
2023-01-11T21:20:41.8601655Z   warnings.warn("non-inplace resize is deprecated")
2023-01-11T21:20:41.8601863Z ok (6.689s)
2023-01-11T21:20:41.8602120Z   test_reflection_pad1d (quantization.core.test_quantized_op.TestPadding) ... ok (0.217s)
2023-01-11T21:20:41.8602455Z   test_reflection_pad2d (quantization.core.test_quantized_op.TestPadding) ... ok (18.994s)
2023-01-11T21:20:41.8602813Z   test_adaptive_avg_pool2d (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.195s)
2023-01-11T21:20:41.8603166Z   test_avg_pool2d (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.650s)
2023-01-11T21:20:41.8603636Z   test_hardtanh (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.072s)
2023-01-11T21:20:41.8604021Z   test_mean (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.406s)
2023-01-11T21:20:41.8604361Z   test_qnnpack_add (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.367s)
2023-01-11T21:20:41.8605143Z   test_qnnpack_add_broadcast (quantization.core.test_quantized_op.TestQNNPackOps) ... [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:20:41.8606147Z [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:20:41.8607057Z [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:20:41.8607962Z [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:20:41.8608477Z ok (0.006s)
2023-01-11T21:20:41.8608736Z   test_qnnpack_maxpool2d (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.677s)
2023-01-11T21:20:41.8609094Z   test_qnnpack_mul (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.166s)
2023-01-11T21:20:41.8609442Z   test_qnnpack_relu (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.119s)
2023-01-11T21:20:41.8609781Z   test_qnnpack_sigmoid (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.005s)
2023-01-11T21:20:41.8610148Z   test_qnnpack_sigmoid_sweep (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.002s)
2023-01-11T21:20:41.8610506Z   test_qnnpack_tanh (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.005s)
2023-01-11T21:20:41.8611326Z   test_quantization_doc_custom (quantization.core.test_docs.TestQuantizationDocs) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py:541: UserWarning: Passing a convert_custom_config_dict to convert is deprecated and will not be supported in a future version. Please pass in a ConvertCustomConfig instead.
2023-01-11T21:20:41.8611904Z   "Passing a convert_custom_config_dict to convert is deprecated and will not be supported "
2023-01-11T21:20:41.8612152Z ok (0.025s)
2023-01-11T21:20:41.8612418Z   test_quantization_doc_fx (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.052s)
2023-01-11T21:20:41.8612790Z   test_quantization_doc_ptdq (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.003s)
2023-01-11T21:20:41.8613146Z   test_quantization_doc_ptsq (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.074s)
2023-01-11T21:20:41.8613510Z   test_quantization_doc_qat (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.015s)
2023-01-11T21:20:41.8614894Z   test_embedding_bag (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:818: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T21:20:41.8615762Z   if param.grad is not None:
2023-01-11T21:20:41.8615940Z ok (0.070s)
2023-01-11T21:20:41.8616230Z   test_embedding_bag_padding_idx_error (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps) ... ok (0.074s)
2023-01-11T21:20:41.8616625Z   test_linear (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps) ... ok (1.266s)
2023-01-11T21:20:41.8617021Z   test_convert_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.015s)
2023-01-11T21:20:41.8617787Z   test_dynamic_multi_op (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... [W insert_quant_dequant.cpp:1359] Warning: debug option for add_scalar and mul_scalar is not supported, please don't use debug option for models that uses these ops. (function operator())
2023-01-11T21:20:41.8618210Z ok (0.478s)
2023-01-11T21:20:41.8618508Z   test_dynamic_quant_multi_uses (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.480s)
2023-01-11T21:20:41.8618928Z   test_dynamic_shared_weights (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.786s)
2023-01-11T21:20:41.8619337Z   test_dynamic_weight_observer (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.129s)
2023-01-11T21:20:41.8619748Z   test_dynamic_with_if (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (1.402s)
2023-01-11T21:20:41.8620165Z   test_insert_quant_dequant_linear_dynamic (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.133s)
2023-01-11T21:20:41.8620591Z   test_prepare_dynamic (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.032s)
2023-01-11T21:20:41.8621001Z   test_prepare_dynamic_child_qconfig (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.030s)
2023-01-11T21:20:41.8621426Z   test_quantize_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.016s)
2023-01-11T21:20:41.8621815Z   test_conv_1d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.033s)
2023-01-11T21:20:41.8622187Z   test_conv_2d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.033s)
2023-01-11T21:20:41.8622544Z   test_conv_3d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.038s)
2023-01-11T21:20:41.8622921Z   test_conv_transpose_1d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.032s)
2023-01-11T21:20:41.8623315Z   test_conv_transpose_2d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.032s)
2023-01-11T21:20:41.8623701Z   test_conv_transpose_3d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.035s)
2023-01-11T21:20:41.8624077Z   test_functional_module (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.780s)
2023-01-11T21:20:41.8624475Z   test_int16_reference_module (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.022s)
2023-01-11T21:20:41.8624860Z   test_leaky_relu (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.003s)
2023-01-11T21:20:41.8625219Z   test_linear (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.031s)
2023-01-11T21:20:41.8625583Z   test_relu (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.003s)
2023-01-11T21:20:41.8625983Z   test_embedding_ops_dynamic (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic) ... ok (0.011s)
2023-01-11T21:20:41.8626440Z   test_forward_hooks_preserved (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8626893Z Test post-training dynamic quantization on preserving ... ok (0.003s)
2023-01-11T21:20:41.8627265Z   test_linear_relu_fusion (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic) ... ok (0.106s)
2023-01-11T21:20:41.8627663Z   test_nested1 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8628056Z Test quantization for nested model, top level 'fc3' and ... ok (0.782s)
2023-01-11T21:20:41.8628380Z   test_nested2 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8628728Z Another test case for quantized, we will quantize all submodules ... ok (0.973s)
2023-01-11T21:20:41.8629067Z   test_nested3 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8629397Z More complicated nested test case with child qconfig overrides ... ok (0.959s)
2023-01-11T21:20:41.8629765Z   test_per_channel_linear_quantize (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8630125Z Test quantization for per_channel dynamic quantization ... ok (0.513s)
2023-01-11T21:20:41.8630467Z   test_quantized_rnn (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8630855Z Test dynamic quantization, scriptability and serialization for dynamic quantized lstm modules on int8 and fp16 ... ok (1.223s)
2023-01-11T21:20:41.8631256Z   test_quantized_rnn_cell (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8631662Z Test dynamic quantization, scriptability and serialization for dynamic quantized rnn cell modules on int8 and fp16 ... ok (0.817s)
2023-01-11T21:20:41.8632063Z   test_single_layer (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8632432Z Dynamic Quantize SingleLayerLinearDynamicModel which has one Linear module, ... ok (0.432s)
2023-01-11T21:20:41.8632803Z   test_two_layers (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8633166Z TwoLayerLinearModel has two Linear modules but we only quantize the second one ... ok (0.380s)
2023-01-11T21:20:41.8633593Z   test_type_match_rule (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2023-01-11T21:20:41.8634001Z Test quantization for nested model, top level 'fc3' and ... ok (0.643s)
2023-01-11T21:20:41.8634343Z   test_activations (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8634658Z Test quantization of activations ... ok (0.566s)
2023-01-11T21:20:41.8634995Z   test_activations_in_non_leaf_module_list (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8635370Z Ensure activations like `nn.Sigmoid` and `nn.Tanh` are properly handled in ... ok (0.004s)
2023-01-11T21:20:41.8635762Z   test_convtranspose_per_channel_fails_early (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8636212Z Verifies that attempting to quantize a ConvTranspose module with per-Channel ... ok (0.002s)
2023-01-11T21:20:41.8636615Z   test_convtranspose_per_channel_qconfig_none (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8636991Z Verifies that having qconfig==None for conv transpose does not crash ... ok (0.002s)
2023-01-11T21:20:41.8637366Z   test_custom_module_class (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.021s)
2023-01-11T21:20:41.8637768Z   test_dequant_stub (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.006s)
2023-01-11T21:20:41.8638187Z   test_forward_hooks_preserved (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.637s)
2023-01-11T21:20:41.8638590Z   test_manual (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8638967Z User inserts QuantStub and DeQuantStub in model code ... ok (0.445s)
2023-01-11T21:20:41.8639288Z   test_nested1 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8639706Z Test quantization for nested model, top level 'fc3' and ... ok (1.870s)
2023-01-11T21:20:41.8640056Z   test_nested2 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.352s)
2023-01-11T21:20:41.8640426Z   test_nested3 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8640769Z More complicated nested test case with child qconfig overrides ... ok (2.550s)
2023-01-11T21:20:41.8641124Z   test_normalization (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8641908Z Test quantization of normalization layers ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize.py:310: UserWarning: None of the submodule got qconfig applied. Make sure you passed correct configuration through `qconfig_dict` or by assigning the `.qconfig` attribute directly on submodules
2023-01-11T21:20:41.8642427Z   warnings.warn("None of the submodule got qconfig applied. Make sure you "
2023-01-11T21:20:41.8642660Z ok (2.070s)
2023-01-11T21:20:41.8642949Z   test_quantized_embedding (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8643512Z Test the post-training quantization flow, serialization and scripting ... ok (0.109s)
2023-01-11T21:20:41.8643881Z   test_quantized_embedding_bag (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8644323Z Test the post-training quantization flow, serialization and scripting ... ok (0.097s)
2023-01-11T21:20:41.8644736Z   test_quantwrapper_attaches_qconfig_to_dequant (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.004s)
2023-01-11T21:20:41.8645175Z   test_resnet_base (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8645526Z Test quantization for bottleneck topology used in resnet/resnext ... ok (0.318s)
2023-01-11T21:20:41.8645889Z   test_save_load_state_dict (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8646271Z Test PTQ flow of creating a model and quantizing it and saving the quantized state_dict ... ok (0.992s)
2023-01-11T21:20:41.8646629Z   test_single_layer (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8647003Z Quantize SingleLayerLinearModel which has one Linear module, make sure it is swapped ... ok (3.150s)
2023-01-11T21:20:41.8647374Z   test_skip_quant (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8647705Z The case when we want to skip quantizing some layers ... ok (3.185s)
2023-01-11T21:20:41.8648019Z   test_two_layers (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2023-01-11T21:20:41.8648381Z TwoLayerLinearModel has two Linear modules but we only quantize the second one ... ok (0.411s)
2023-01-11T21:20:41.8648767Z   test_add_scalar_uses_input_qparams (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.005s)
2023-01-11T21:20:41.8649157Z   test_conv_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (2.534s)
2023-01-11T21:20:41.8649525Z   test_conv_linear_symm (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT)
2023-01-11T21:20:41.8649854Z Same as test_conv_linear but with Symmetric quantization. ... ok (0.669s)
2023-01-11T21:20:41.8650212Z   test_defused_embedding_bag_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.614s)
2023-01-11T21:20:41.8650593Z   test_dropout (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.672s)
2023-01-11T21:20:41.8650976Z   test_dynamic_qat_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.675s)
2023-01-11T21:20:41.8651431Z   test_embedding_bag_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.606s)
2023-01-11T21:20:41.8651885Z   test_embedding_qat_qconfig_equal (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.007s)
2023-01-11T21:20:41.8652302Z   test_eval_only_fake_quant (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT)
2023-01-11T21:20:41.8652619Z Using FakeQuant in evaluation only mode, ... ok (0.036s)
2023-01-11T21:20:41.8652959Z   test_forward_hooks_preserved (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.028s)
2023-01-11T21:20:41.8653337Z   test_manual (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (1.341s)
2023-01-11T21:20:41.8653736Z   test_mul_scalar_uses_input_qparams (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.005s)
2023-01-11T21:20:41.8654146Z   test_qat_embedding_bag_errors (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.005s)
2023-01-11T21:20:41.8654535Z   test_train_save_load_eval (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT)
2023-01-11T21:20:41.8654887Z Test QAT flow of creating a model, doing QAT and saving the quantized state_dict ... ok (0.327s)
2023-01-11T21:20:41.8655284Z   test_conv_bn_folded_vs_unfolded (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (1.039s)
2023-01-11T21:20:41.8655709Z   test_conv_bn_relu (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.524s)
2023-01-11T21:20:41.8656128Z   test_fixed_qparam_ops (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.014s)
2023-01-11T21:20:41.8656533Z   test_leaky_relu (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.007s)
2023-01-11T21:20:41.8656949Z   test_linear_bn_numerics (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.010s)
2023-01-11T21:20:41.8657379Z   test_linear_bn_symm_numerics (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.003s)
2023-01-11T21:20:41.8657807Z   test_linear_bn_workflow (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.045s)
2023-01-11T21:20:41.8658205Z   test_relu (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.002s)
2023-01-11T21:20:41.8658597Z   test__convert_to_reference_decomposed_fx (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s)
2023-01-11T21:20:41.8658996Z   test__convert_to_reference_decomposed_fx_dynamic_quant (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2023-01-11T21:20:41.8659399Z   test__convert_to_reference_decomposed_fx_per_channel_quant (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2023-01-11T21:20:41.8659780Z   test_assert_on_size_after_quant_layer (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8660103Z Verifies that calculating a size of a quantized tensor works ... ok (0.022s)
2023-01-11T21:20:41.8660420Z   test_attention (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.143s)
2023-01-11T21:20:41.8660759Z   test_backend_config_check_for_weight_and_bias (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8661090Z Test to make sure the backend_config check for weight and bias ... ok (0.009s)
2023-01-11T21:20:41.8661416Z   test_backend_config_quantization_range (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8662105Z Check that quantization ranges specified through the BackendConfig are reflected in ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:786: UserWarning: QConfig activation quantization range must fall within the backend's:
2023-01-11T21:20:41.8663527Z QConfig range = (0, 63), BackendConfig range = (0, 31), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=63, dtype=torch.quint8){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa4803d5d40>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa4803d5d40>})
2023-01-11T21:20:41.8664361Z   backend_quant_min, backend_quant_max, qconfig))
2023-01-11T21:20:41.8664840Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:786: UserWarning: QConfig activation quantization range must fall within the backend's:
2023-01-11T21:20:41.8666155Z QConfig range = (0, 255), BackendConfig range = (0, 31), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.quint8){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f39c830>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=-128, quant_max=127, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f39c830>})
2023-01-11T21:20:41.8666949Z   backend_quant_min, backend_quant_max, qconfig))
2023-01-11T21:20:41.8667735Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:780: UserWarning: QConfig activation must specify 'quant_min' and 'quant_max', ignoring QConfig(activation=<class 'torch.ao.quantization.observer.ReuseInputObserver'>, weight=<class 'torch.ao.quantization.observer.ReuseInputObserver'>)
2023-01-11T21:20:41.8668282Z   (debug_string, qconfig))
2023-01-11T21:20:41.8668449Z ok (0.037s)
2023-01-11T21:20:41.8668704Z   test_backend_config_scale_min (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8670309Z Test QConfig eps validation against the BackendConfig's min scale value. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:796: UserWarning: QConfig activation eps (tensor([6.1035e-05])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.quint8, eps=6.103515625e-05){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa4803ac3b0>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa4803ac3b0>})
2023-01-11T21:20:41.8671326Z   (debug_string, app_scale_min, backend_scale_min, qconfig))
2023-01-11T21:20:41.8672781Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:796: UserWarning: QConfig activation eps (tensor([1.1921e-07])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.quint8){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa480226d40>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric, eps=6.103515625e-05){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa480226d40>})
2023-01-11T21:20:41.8673793Z   (debug_string, app_scale_min, backend_scale_min, qconfig))
2023-01-11T21:20:41.8674716Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:791: UserWarning: QConfig activation must specify 'eps', ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.FixedQParamsObserver'>, scale=1.0, zero_point=0){}, weight=functools.partial(<class 'torch.ao.quantization.observer.FixedQParamsObserver'>, scale=1.0, zero_point=0){})
2023-01-11T21:20:41.8675507Z   warnings.warn("QConfig %s must specify 'eps', ignoring %s" % (debug_string, qconfig))
2023-01-11T21:20:41.8675752Z ok (0.048s)
2023-01-11T21:20:41.8676056Z   test_change_backend_config_for_fixed_qparam_ops (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8676415Z Making sure we can skip validation of qconfigs for fixedqparam ops based ... ok (0.007s)
2023-01-11T21:20:41.8676750Z   test_channel_shuffle_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.081s)
2023-01-11T21:20:41.8677083Z   test_conv_bn_relu (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8677458Z Tests fusion and quantization for "Conv - Bn" and "Conv - Bn - ReLU" ... ok (1.257s)
2023-01-11T21:20:41.8677769Z   test_conv_linear_not_reference (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8678056Z Test quantizing conv and linear ... ok (2.387s)
2023-01-11T21:20:41.8678344Z   test_conv_linear_reference (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8678664Z Test quantizing functional conv and linear with reference option ... ok (2.175s)
2023-01-11T21:20:41.8678978Z   test_conv_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.201s)
2023-01-11T21:20:41.8679333Z   test_convert_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2023-01-11T21:20:41.8679733Z   test_convert_custom_config_set_observed_to_quantized_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8680135Z   test_convert_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8680516Z   test_convert_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8681313Z   test_convert_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/convert.py:887: UserWarning: Passing a QConfig dictionary to convert is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2023-01-11T21:20:41.8681879Z   "Passing a QConfig dictionary to convert is deprecated and will not be supported "
2023-01-11T21:20:41.8682561Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_1_packed_weight_0 target mods1_1_packed_weight_0 mods1_1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8683095Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8683893Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_0_packed_weight_0 target mods1_0_packed_weight_0 mods1_0_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8684444Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8684680Z ok (0.116s)
2023-01-11T21:20:41.8684945Z   test_convtranspose_per_channel_fails_early (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8685377Z Verifies that attempting to quantize a ConvTranspose module with per-Channel ... ok (0.013s)
2023-01-11T21:20:41.8685736Z   test_copy_node_has_shared_actpp_instance (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8686049Z Test the output of CopyNode to have the same ... ok (0.047s)
2023-01-11T21:20:41.8686345Z   test_custom_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.097s)
2023-01-11T21:20:41.8686713Z   test_custom_module_class_input_has_multiple_users (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8687047Z Tests that the flow still works when the input of custom module ... ok (0.029s)
2023-01-11T21:20:41.8687426Z   test_deepcopy_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.015s)
2023-01-11T21:20:41.8687809Z   test_default_qconfig_mapping_override_global (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.013s)
2023-01-11T21:20:41.8688221Z   test_default_quant_after_none_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8688533Z Make sure default quant is inserted properly ... ok (0.020s)
2023-01-11T21:20:41.8688809Z   test_dequantize (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8689099Z Test to make sure dequantize node are placed before ... ok (0.221s)
2023-01-11T21:20:41.8689399Z   test_dict_output (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8689691Z Make sure quantization runs for models with dictionary output ... ok (0.021s)
2023-01-11T21:20:41.8690017Z   test_dynamic_linear_input_multiple_use (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8690342Z Tests input for dynamic linear being used by multiple ops ... ok (0.046s)
2023-01-11T21:20:41.8690663Z   test_dynamic_quant_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.060s)
2023-01-11T21:20:41.8690996Z   test_dynamic_quant_weight_observer (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8691300Z Test that weight observer is run in convert step ... ok (0.019s)
2023-01-11T21:20:41.8691599Z   test_dynamic_with_fusion (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8692374Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods2_packed_weight_0 target mods2_packed_weight_0 mods2_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8692997Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8693237Z ok (0.060s)
2023-01-11T21:20:41.8693501Z   test_dynamic_with_fusion_multiple_uses (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8693821Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... ok (0.042s)
2023-01-11T21:20:41.8693970Z   test_fold_quant_dequant (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8694159Z Test that the sequence of quant-dequant nodes in the ... ok (0.026s)
2023-01-11T21:20:41.8694324Z   test_fp32_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2023-01-11T21:20:41.8694501Z   test_fp32_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2023-01-11T21:20:41.8694638Z   test_fp32_sum (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8694840Z Verifies that fp32 sum works correctly if it's before or after ... ok (0.058s)
2023-01-11T21:20:41.8695013Z   test_fuse_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8695195Z   test_fuse_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8695364Z   test_fuse_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8695537Z   test_fused_module_qat_swap (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s)
2023-01-11T21:20:41.8695699Z   test_fusion_pattern_unquantized (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8695845Z Ensure that leaving a possible fusion pattern of multiple nodes ... ok (0.024s)
2023-01-11T21:20:41.8696015Z   test_get_default_qconfig_valid_backend (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8696187Z Checks that AssertionError is raised when non expected backend input is specified ... ok (0.001s)
2023-01-11T21:20:41.8696364Z   test_get_executorch_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8696513Z   test_getattr_with_nontensor_result (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8696684Z Verifies that binary ops get quantized correctly if some ... ok (0.058s)
2023-01-11T21:20:41.8696878Z   test_linear_bn (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.706s)
2023-01-11T21:20:41.8697038Z   test_linear_leaky_relu_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8697230Z Test fusion and lowering of Linear - (bn -) LeakyReLU ... ok (0.051s)
2023-01-11T21:20:41.8697385Z   test_linear_qint8_activation (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8697521Z Test support for qint8 activation in reference pattern ... ok (0.017s)
2023-01-11T21:20:41.8697668Z   test_linear_tanh_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8697822Z Test fusion and lowering of Linear - Tanh ... ok (0.025s)
2023-01-11T21:20:41.8698006Z   test_masked_fill_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8698173Z   test_match_pattern_with_multiple_args (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8698315Z Test that we can match a pattern that has multiple arguments ... ok (0.009s)
2023-01-11T21:20:41.8698479Z   test_mul_add_fp16_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s)
2023-01-11T21:20:41.8698654Z   test_no_obs_between_unmatched_node_and_copy_node (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8698796Z Verifies that an observer is not inserted between an unmatched ... ok (0.137s)
2023-01-11T21:20:41.8698959Z   test_non_traceable_module (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.016s)
2023-01-11T21:20:41.8699096Z   test_not_used (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8699190Z Test quantizing a not used value ... ok (0.017s)
2023-01-11T21:20:41.8699333Z   test_observer_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8699506Z Test to make sure the observer FQN is based on the quantizable op/module that it is observing ... ok (0.026s)
2023-01-11T21:20:41.8699660Z   test_output_lists_and_dicts (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8699807Z Verify that specifying complicated output types does not crash. ... ok (0.020s)
2023-01-11T21:20:41.8699977Z   test_packed_weight_fused_op (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.034s)
2023-01-11T21:20:41.8700122Z   test_pattern_match (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8700217Z test MatchAllNode with ... ok (0.006s)
2023-01-11T21:20:41.8700373Z   test_pattern_match_constant (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.006s)
2023-01-11T21:20:41.8700556Z   test_permute_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2023-01-11T21:20:41.8700736Z   test_prepare_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2023-01-11T21:20:41.8700939Z   test_prepare_custom_config_set_float_to_observed_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8701140Z   test_prepare_custom_config_set_input_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8701341Z   test_prepare_custom_config_set_non_traceable_module_classes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8701541Z   test_prepare_custom_config_set_non_traceable_module_names (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8701742Z   test_prepare_custom_config_set_output_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8701935Z   test_prepare_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8702119Z   test_prepare_custom_config_set_standalone_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8702345Z   test_prepare_custom_config_set_standalone_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8702545Z   test_prepare_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2023-01-11T21:20:41.8702704Z   test_prepare_mode (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.056s)
2023-01-11T21:20:41.8702863Z   test_prepared_model_deepcopy (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8703010Z Ensures that copy.deepcopy works correctly on a prepared model. ... ok (0.021s)
2023-01-11T21:20:41.8703175Z   test_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.018s)
2023-01-11T21:20:41.8703321Z   test_preserve_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8703479Z Test to make sure the temporary config option to preserve qconfig attributes ... ok (0.023s)
2023-01-11T21:20:41.8703617Z   test_preserve_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8703727Z Test tuple input type is preserved ... ok (0.015s)
2023-01-11T21:20:41.8703919Z   test_propagate_dtypes_for_known_nodes_dict_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8704120Z   test_propagate_dtypes_for_known_nodes_dict_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2023-01-11T21:20:41.8704316Z   test_propagate_dtypes_for_known_nodes_dict_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2023-01-11T21:20:41.8704505Z   test_propagate_dtypes_for_known_nodes_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8704699Z   test_propagate_dtypes_for_known_nodes_split_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2023-01-11T21:20:41.8704893Z   test_propagate_dtypes_for_known_nodes_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2023-01-11T21:20:41.8705084Z   test_propagate_dtypes_for_known_nodes_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2023-01-11T21:20:41.8705232Z   test_qat_and_script (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.189s)
2023-01-11T21:20:41.8705533Z   test_qat_prepare_device_affinity (quantization.fx.test_quantize_fx.TestQuantizeFx) ... skip: multi-GPU not supported (0.000s)
2023-01-11T21:20:41.8705693Z   test_qat_skip_untraced (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s)
2023-01-11T21:20:41.8705853Z   test_qconfig_dict_setup (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.179s)
2023-01-11T21:20:41.8706028Z   test_qconfig_dict_with_fused_modules (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.126s)
2023-01-11T21:20:41.8706190Z   test_qconfig_for_call_func (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.034s)
2023-01-11T21:20:41.8706356Z   test_qconfig_for_call_method (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.063s)
2023-01-11T21:20:41.8706517Z   test_qconfig_function (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2023-01-11T21:20:41.8706692Z   test_qconfig_mapping_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2023-01-11T21:20:41.8706848Z   test_qconfig_mapping_repr (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8707019Z   test_qconfig_mapping_set_global (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2023-01-11T21:20:41.8707196Z   test_qconfig_mapping_set_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2023-01-11T21:20:41.8707389Z   test_qconfig_mapping_set_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.004s)
2023-01-11T21:20:41.8707570Z   test_qconfig_mapping_set_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2023-01-11T21:20:41.8707781Z   test_qconfig_mapping_set_object_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2023-01-11T21:20:41.8707947Z   test_qconfig_mapping_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2023-01-11T21:20:41.8708162Z   test_qconfig_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.081s)
2023-01-11T21:20:41.8708334Z   test_qconfig_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2023-01-11T21:20:41.8708486Z   test_qconfig_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s)
2023-01-11T21:20:41.8708640Z   test_qconfig_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2023-01-11T21:20:41.8708803Z   test_qconfig_precedence (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2023-01-11T21:20:41.8708968Z   test_qconfig_qat_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.033s)
2023-01-11T21:20:41.8709125Z   test_qnnpack_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8709305Z Test whether default QNNPACK QConfigs are compatible with the QNNPACK BackendConfig. ... ok (0.985s)
2023-01-11T21:20:41.8709465Z   test_qparams_buffers (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.049s)
2023-01-11T21:20:41.8709610Z   test_qparams_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8709724Z Test that the FQN of input_scale/zero_point is set ... ok (0.034s)
2023-01-11T21:20:41.8709884Z   test_quant_output_always_observed (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8710018Z If the output is hardcoded to be quantized, ensure that ... ok (0.222s)
2023-01-11T21:20:41.8710192Z   test_quantized_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2023-01-11T21:20:41.8710369Z   test_quantized_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2023-01-11T21:20:41.8710522Z   test_quantized_model_type (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8710671Z Test state_dict and deepcopy works properly in the quantized model ... ok (0.046s)
2023-01-11T21:20:41.8710818Z   test_ref_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8710936Z Make sure the numerics for models with ref conv module ... ok (0.155s)
2023-01-11T21:20:41.8711086Z   test_ref_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8711219Z Make sure the numerics for models with ref linear module ... ok (0.053s)
2023-01-11T21:20:41.8711380Z   test_register_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2023-01-11T21:20:41.8711535Z   test_relu_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2023-01-11T21:20:41.8711692Z   test_remove_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.018s)
2023-01-11T21:20:41.8711874Z   test_repeat_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2023-01-11T21:20:41.8712038Z   test_reroute_tuple_getitem_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8712200Z The following graph should redirect the output to `b`. After the transformation, ... ok (0.003s)
2023-01-11T21:20:41.8712371Z   test_reshape_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8712524Z   test_return_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.014s)
2023-01-11T21:20:41.8712684Z   test_reuse_input_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.136s)
2023-01-11T21:20:41.8712852Z   test_save_observer_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.549s)
2023-01-11T21:20:41.8713072Z   test_sequential (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.318s)
2023-01-11T21:20:41.8713320Z   test_shape_followed_by_quantized_op (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8713480Z Make sure that shape does not dequantize ... ok (0.030s)
2023-01-11T21:20:41.8713657Z   test_size_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.020s)
2023-01-11T21:20:41.8713850Z   test_stack_trace_preserved_linear (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8714032Z   test_standalone_module_float_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.126s)
2023-01-11T21:20:41.8714217Z   test_standalone_module_quantized_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.124s)
2023-01-11T21:20:41.8714360Z   test_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8714485Z Make sure packed params appear in state_dict ... ok (0.210s)
2023-01-11T21:20:41.8714627Z   test_static_lstm (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8714801Z Test statically quantized custom module LSTM followed by ops that consume individual ... ok (0.256s)
2023-01-11T21:20:41.8714960Z   test_static_lstm_consume_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8715116Z Test statically quantized custom module LSTM followed by a module that consumes the ... ok (0.243s)
2023-01-11T21:20:41.8715287Z   test_static_lstm_with_custom_fixed_qparams (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8715450Z Test statically quantized LSTM with custom fixed qparams assigned to each of the ... ok (0.071s)
2023-01-11T21:20:41.8715604Z   test_sub_scalar (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2023-01-11T21:20:41.8715776Z   test_symmetric_qnnpack_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx)
2023-01-11T21:20:41.8715966Z Test whether `torch.ao.quantization.qconfig_mapping._get_symmetric_qnnpack_qconfig_mapping` ... ok (0.467s)
2023-01-11T21:20:41.8716159Z   test_torch_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s)
2023-01-11T21:20:41.8716349Z   test_torch_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8716520Z   test_trace_quantize_per_tensor (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2023-01-11T21:20:41.8716691Z   test_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8716877Z   test_unsqueeze__nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s)
2023-01-11T21:20:41.8717059Z   test_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2023-01-11T21:20:41.8717235Z   test_view_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s)
2023-01-11T21:20:41.8717407Z   test_model_dropout (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.799s)
2023-01-11T21:20:41.8717635Z   test_prepare_serialize_switch_device_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s)
2023-01-11T21:20:41.8717814Z   test_qat_embedding_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.594s)
2023-01-11T21:20:41.8717998Z   test_qat_embeddingbag_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.763s)
2023-01-11T21:20:41.8718176Z   test_qat_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.291s)
2023-01-11T21:20:41.8718578Z   test_resnet18_ddp (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: TODO: Test is always failing - https://github.com/pytorch/pytorch/issues/54979 (0.001s)
2023-01-11T21:20:41.8718733Z   test_resnet_base (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.082s)
2023-01-11T21:20:41.8718945Z   test_static_gpu_convert_basic (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s)
2023-01-11T21:20:41.8719158Z   test_switch_device_prepare_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s)
2023-01-11T21:20:41.8719420Z   test_torchvision (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: skip for now since tbb failed (0.002s)
2023-01-11T21:20:41.8719576Z   test_add (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.666s)
2023-01-11T21:20:41.8719780Z   test_add_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.976s)
2023-01-11T21:20:41.8719962Z   test_add_relu_multiple_uses_of_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.035s)
2023-01-11T21:20:41.8720127Z   test_ave_pool_with_custom_cfg (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8720258Z A test that checks correct patterns are produced for ... ok (0.017s)
2023-01-11T21:20:41.8720470Z   test_bmm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2023-01-11T21:20:41.8720628Z   test_bmm_int_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8720830Z int8 is not supported for bmm so we won't produce reference ... ok (0.014s)
2023-01-11T21:20:41.8720984Z   test_boolean_tensor (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8721173Z Make sure we don't insert observer for boolean Tensors ... ok (0.016s)
2023-01-11T21:20:41.8721311Z   test_cat (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8721445Z quantization of the output of cat will depend on the ... ok (0.837s)
2023-01-11T21:20:41.8721598Z   test_chunk (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.021s)
2023-01-11T21:20:41.8721741Z   test_clamp (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.153s)
2023-01-11T21:20:41.8721900Z   test_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.436s)
2023-01-11T21:20:41.8722066Z   test_conv_transpose_1d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.656s)
2023-01-11T21:20:41.8722234Z   test_conv_transpose_2d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.216s)
2023-01-11T21:20:41.8722394Z   test_copy_node_fp32_input (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8722536Z CopyNode works for both fp32 and int8 inputs, this is a test to make ... ok (0.138s)
2023-01-11T21:20:41.8722756Z   test_div (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s)
2023-01-11T21:20:41.8722906Z   test_elu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.659s)
2023-01-11T21:20:41.8723052Z   test_embedding (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.090s)
2023-01-11T21:20:41.8723217Z   test_embedding_bag (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.082s)
2023-01-11T21:20:41.8723497Z   test_fixed_qparams_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.338s)
2023-01-11T21:20:41.8723677Z   test_fixed_qparams_ops_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.037s)
2023-01-11T21:20:41.8723853Z   test_fixed_qparams_ops_qint8 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.048s)
2023-01-11T21:20:41.8724024Z   test_fixed_qparams_ops_wrong_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8725429Z Test that wrong qconfigs for fixed qparams ops results in the ops not being quantized. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:814: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a2170>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a2170>}).
2023-01-11T21:20:41.8725745Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2023-01-11T21:20:41.8725872Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2023-01-11T21:20:41.8726001Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2023-01-11T21:20:41.8726140Z   "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str))
2023-01-11T21:20:41.8727414Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:814: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a25f0>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a25f0>}).
2023-01-11T21:20:41.8727643Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2023-01-11T21:20:41.8727768Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2023-01-11T21:20:41.8727886Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2023-01-11T21:20:41.8728024Z   "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str))
2023-01-11T21:20:41.8729298Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:814: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a2830>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a2830>}).
2023-01-11T21:20:41.8729528Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2023-01-11T21:20:41.8729651Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2023-01-11T21:20:41.8729779Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2023-01-11T21:20:41.8729918Z   "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str))
2023-01-11T21:20:41.8731185Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:814: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a2b90>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7fa47f9a2b90>}).
2023-01-11T21:20:41.8731412Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2023-01-11T21:20:41.8731538Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2023-01-11T21:20:41.8731664Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2023-01-11T21:20:41.8731839Z   "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str))
2023-01-11T21:20:41.8731906Z ok (0.030s)
2023-01-11T21:20:41.8732093Z   test_float_functional (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.096s)
2023-01-11T21:20:41.8732261Z   test_functional_conv (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (9.343s)
2023-01-11T21:20:41.8732429Z   test_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (11.419s)
2023-01-11T21:20:41.8732641Z   test_gelu_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.001s)
2023-01-11T21:20:41.8732876Z   test_gelu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2023-01-11T21:20:41.8733032Z   test_general_shape_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8733161Z A test that checks dequantize will be swapped for ... ok (0.233s)
2023-01-11T21:20:41.8733316Z   test_general_value_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8733451Z A test that checks correct patterns are produced for ... ok (0.070s)
2023-01-11T21:20:41.8733585Z   test_getitem (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8733747Z Make sure we only insert observer for getitem if the following node is matched ... ok (0.052s)
2023-01-11T21:20:41.8733906Z   test_hardswish (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.737s)
2023-01-11T21:20:41.8734068Z   test_instance_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (2.282s)
2023-01-11T21:20:41.8734234Z   test_int8_input_no_unnecessary_fq (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8734371Z If the inputs to the graph are quantized and the only node ... ok (0.017s)
2023-01-11T21:20:41.8734530Z   test_layer_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.380s)
2023-01-11T21:20:41.8734690Z   test_leaky_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.804s)
2023-01-11T21:20:41.8734847Z   test_linear_dynamic_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.434s)
2023-01-11T21:20:41.8735008Z   test_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (3.463s)
2023-01-11T21:20:41.8735177Z   test_linear_static_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.551s)
2023-01-11T21:20:41.8735438Z   test_mish_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2023-01-11T21:20:41.8735589Z   test_mul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.734s)
2023-01-11T21:20:41.8735744Z   test_mul_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.978s)
2023-01-11T21:20:41.8735917Z   test_multiple_qconfigs_for_single_value (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8736039Z Test multiple qconfigs for a single value ... ok (0.023s)
2023-01-11T21:20:41.8736681Z   test_norm_weight_bias (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_packed_weight_0 target mods1_packed_weight_0 mods1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8736893Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8736946Z ok (0.943s)
2023-01-11T21:20:41.8737100Z   test_prelu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.387s)
2023-01-11T21:20:41.8737261Z   test_qbatch_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.381s)
2023-01-11T21:20:41.8737426Z   test_qbatch_norm_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.712s)
2023-01-11T21:20:41.8737612Z   test_qmatmul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.207s)
2023-01-11T21:20:41.8737781Z   test_quantized_add_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.030s)
2023-01-11T21:20:41.8737976Z   test_quantized_conv_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2023-01-11T21:20:41.8738097Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (1.809s)
2023-01-11T21:20:41.8738251Z   test_quantized_mul_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.026s)
2023-01-11T21:20:41.8738426Z   test_ref_pattern_multi_use (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.025s)
2023-01-11T21:20:41.8738587Z   test_reshape_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.029s)
2023-01-11T21:20:41.8738736Z   test_rnn (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (4.720s)
2023-01-11T21:20:41.8738891Z   test_rnn_cell (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (3.016s)
2023-01-11T21:20:41.8739129Z   test_silu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2023-01-11T21:20:41.8739341Z   test_softmax_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.000s)
2023-01-11T21:20:41.8739577Z   test_softmax_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2023-01-11T21:20:41.8739794Z   test_sub (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s)
2023-01-11T21:20:41.8739992Z   test_sum (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2023-01-11T21:20:41.8740147Z   test_conv (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (2.190s)
2023-01-11T21:20:41.8740302Z   test_conv_bn (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.384s)
2023-01-11T21:20:41.8740651Z   test_conv_transpose (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W insert_observers.cpp:1580] Warning: prim::Loop is not yet supported in quantization, please make sure nothing needs to be quantized in the loop (function operator())
2023-01-11T21:20:41.8740720Z ok (0.584s)
2023-01-11T21:20:41.8740980Z   test_linear_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8741148Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2023-01-11T21:20:41.8741213Z ok (0.044s)
2023-01-11T21:20:41.8742354Z   test_nested (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:818: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T21:20:41.8742442Z   if param.grad is not None:
2023-01-11T21:20:41.8742506Z ok (1.224s)
2023-01-11T21:20:41.8742675Z   test_observer_with_ignored_function (quantization.jit.test_quantize_jit.TestQuantizeJit)
2023-01-11T21:20:41.8742803Z Test observers with ignored function and make sure it works in ... ok (1.330s)
2023-01-11T21:20:41.8743398Z   test_single_linear (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2023-01-11T21:20:41.8743565Z   reduce_range will be deprecated in a future release of PyTorch."
2023-01-11T21:20:41.8743631Z ok (3.827s)
2023-01-11T21:20:41.8743828Z   test_single_linear_dynamic (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.166s)
2023-01-11T21:20:41.8743989Z   test_skip_quant (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (5.115s)
2023-01-11T21:20:41.8744158Z   test_cat_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.081s)
2023-01-11T21:20:41.8744319Z   test_clamp (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (3.935s)
2023-01-11T21:20:41.8744500Z   test_conv_with_benchmark_flag (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.286s)
2023-01-11T21:20:41.8744651Z   test_dequantize_tuple (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8744776Z Make sure dequantize can support Tuple of tensor ... ok (1.318s)
2023-01-11T21:20:41.8744937Z   test_elu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (15.355s)
2023-01-11T21:20:41.8745101Z   test_general_shape_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8745234Z A test that checks dequantize will be swapped for ... ok (0.124s)
2023-01-11T21:20:41.8745396Z   test_general_value_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8745529Z A test that checks correct patterns are produced for ... ok (0.349s)
2023-01-11T21:20:41.8745694Z   test_group_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.952s)
2023-01-11T21:20:41.8745847Z   test_hardswish (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.869s)
2023-01-11T21:20:41.8746148Z   test_instance_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8746366Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8746575Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8746776Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8746984Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8747186Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8747388Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8747600Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8747804Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8748003Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8748204Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8748391Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8748646Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8748850Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8749049Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8749246Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8749456Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8749664Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8749869Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8750070Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8750268Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8750461Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8750664Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8750853Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2023-01-11T21:20:41.8750919Z ok (11.428s)
2023-01-11T21:20:41.8751085Z   test_layer_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (12.097s)
2023-01-11T21:20:41.8751248Z   test_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (14.481s)
2023-01-11T21:20:41.8751415Z   test_qbatch_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.509s)
2023-01-11T21:20:41.8751612Z   test_qbatch_norm_relu_BNFuncInplaceRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.684s)
2023-01-11T21:20:41.8751799Z   test_qbatch_norm_relu_BNFuncRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.711s)
2023-01-11T21:20:41.8751983Z   test_qbatch_norm_relu_BNRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.404s)
2023-01-11T21:20:41.8752156Z   test_quantized_add (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.100s)
2023-01-11T21:20:41.8752313Z   test_quantized_add_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8752445Z Test quant fusion for multiple aten::add using same ... ok (2.296s)
2023-01-11T21:20:41.8752619Z   test_quantized_add_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.409s)
2023-01-11T21:20:41.8752791Z   test_quantized_add_relu_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8752922Z Test quant fusion for multiple aten::add using same ... ok (17.006s)
2023-01-11T21:20:41.8753099Z   test_quantized_add_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (2.305s)
2023-01-11T21:20:41.8753365Z   test_quantized_add_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.678s)
2023-01-11T21:20:41.8753565Z   test_quantized_cat (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8753728Z quantization of the output of cat will be depend on the ... ok (1.939s)
2023-01-11T21:20:41.8753900Z   test_quantized_conv (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (3.341s)
2023-01-11T21:20:41.8754062Z   test_quantized_conv_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2023-01-11T21:20:41.8754181Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (13.549s)
2023-01-11T21:20:41.8754351Z   test_quantized_mul (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.775s)
2023-01-11T21:20:41.8754522Z   test_quantized_mul_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.399s)
2023-01-11T21:20:41.8754697Z   test_quantized_mul_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.645s)
2023-01-11T21:20:41.8754880Z   test_quantized_mul_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.633s)
2023-01-11T21:20:41.8755036Z   test_conv_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.054s)
2023-01-11T21:20:41.8755221Z   test_convtranspose_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.054s)
2023-01-11T21:20:41.8755399Z   test_dedup_module_uses (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.007s)
2023-01-11T21:20:41.8755577Z   test_finalize_debug (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.080s)
2023-01-11T21:20:41.8755758Z   test_finalize_for_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.076s)
2023-01-11T21:20:41.8755940Z   test_foldbn_complex_cases (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.870s)
2023-01-11T21:20:41.8756117Z   test_foldbn_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.068s)
2023-01-11T21:20:41.8756287Z   test_foldbn_no_fusion (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8756501Z Test that we don't fuse the cases when module type does not match ... ok (0.007s)
2023-01-11T21:20:41.8756679Z   test_foldbn_shared_classtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.539s)
2023-01-11T21:20:41.8756855Z   test_foldbn_trivial (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.085s)
2023-01-11T21:20:41.8757037Z   test_foldbn_trivial_nobias (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.055s)
2023-01-11T21:20:41.8757207Z   test_fuse_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.038s)
2023-01-11T21:20:41.8757382Z   test_inplace_option (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.171s)
2023-01-11T21:20:41.8757561Z   test_insert_observers (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.032s)
2023-01-11T21:20:41.8757755Z   test_insert_observers_child_qconfig (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.038s)
2023-01-11T21:20:41.8757944Z   test_insert_observers_for_general_ops (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8758144Z Make sure we skip observers for ops that doesn't require ... ok (0.032s)
2023-01-11T21:20:41.8758315Z   test_insert_observers_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.109s)
2023-01-11T21:20:41.8758516Z   test_insert_observers_for_if_consistent_observation (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8758636Z check quantization for if works as long as ... ok (0.283s)
2023-01-11T21:20:41.8758825Z   test_insert_observers_for_nested_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.108s)
2023-01-11T21:20:41.8759023Z   test_insert_observers_for_reused_weight (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.027s)
2023-01-11T21:20:41.8759217Z   test_insert_observers_interface (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.043s)
2023-01-11T21:20:41.8759455Z   test_insert_observers_interface_unshare_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.127s)
2023-01-11T21:20:41.8759674Z   test_insert_observers_propagate_observed (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8759821Z Make sure we propagate observed property through general ops ... ok (0.037s)
2023-01-11T21:20:41.8760022Z   test_insert_observers_propagate_observed_for_function (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.045s)
2023-01-11T21:20:41.8760223Z   test_insert_observers_propagate_observed_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8760366Z Make sure we propagate observed property through general ops ... ok (0.042s)
2023-01-11T21:20:41.8760564Z   test_insert_observers_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.037s)
2023-01-11T21:20:41.8760755Z   test_insert_observers_skip_values (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.131s)
2023-01-11T21:20:41.8760949Z   test_insert_observers_weight_dtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.032s)
2023-01-11T21:20:41.8761133Z   test_insert_quant_dequant (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.159s)
2023-01-11T21:20:41.8761332Z   test_insert_quant_dequant_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.184s)
2023-01-11T21:20:41.8761515Z   test_interface_with_fork (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.045s)
2023-01-11T21:20:41.8761673Z   test_module_list (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.094s)
2023-01-11T21:20:41.8761839Z   test_quantize_fork_wait (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8762091Z Tests the case where fork and wait calls are in different subgraphs ... [W utils.py:310] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2023-01-11T21:20:41.8762163Z ok (0.077s)
2023-01-11T21:20:41.8762360Z   test_replicate_dequant_same_value (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.081s)
2023-01-11T21:20:41.8762547Z   test_replicate_dequantize (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s)
2023-01-11T21:20:41.8762742Z   test_replicate_dequantize_in_block (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s)
2023-01-11T21:20:41.8762919Z   test_replicate_quantize_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2023-01-11T21:20:41.8763160Z We want to move quantize nodes for output of prim::If ... [W utils.py:310] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2023-01-11T21:20:41.8763329Z [W utils.py:310] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2023-01-11T21:20:41.8763645Z [W utils.py:310] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2023-01-11T21:20:41.8763821Z [W utils.py:310] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2023-01-11T21:20:41.8763887Z ok (0.096s)
2023-01-11T21:20:41.8764080Z   test_skip_dequant_constant_prop (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.089s)
2023-01-11T21:20:41.8764268Z   test_swap_functional_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.008s)
2023-01-11T21:20:41.8765081Z   test_resnet18 (quantization.fx.test_quantize_pt2e.TestQuantizePT2EModels) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/_pt2e/utils.py:101: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2023-01-11T21:20:41.8765246Z   get_bias_node = m.graph.get_attr(bias_attr_name)
2023-01-11T21:20:41.8765312Z ok (3.743s)
2023-01-11T21:20:41.8765579Z   test_benchmark (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: used for local benchmarking, comment when we want to run it (0.002s)
2023-01-11T21:20:41.8765740Z   test_conv_reorder_issue_onednn (quantization.core.test_quantized_op.TestQuantizedConv)
2023-01-11T21:20:41.8765885Z Ensure reorder failure issue in conv is fixed for onednn backend. ... ok (0.008s)
2023-01-11T21:20:41.8766049Z   test_qconv1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (2.619s)
2023-01-11T21:20:41.8766247Z   test_qconv1d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.007s)
2023-01-11T21:20:41.8766417Z   test_qconv1d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.789s)
2023-01-11T21:20:41.8766585Z   test_qconv2d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (6.890s)
2023-01-11T21:20:41.8766781Z   test_qconv2d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.007s)
2023-01-11T21:20:41.8766955Z   test_qconv2d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.002s)
2023-01-11T21:20:41.8767104Z   test_qconv3d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.489s)
2023-01-11T21:20:41.8767273Z   test_qconv3d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.690s)
2023-01-11T21:20:41.8767448Z   test_qconv_transpose1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (5.551s)
2023-01-11T21:20:41.8767721Z   test_qconv_transpose2d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2023-01-11T21:20:41.8767995Z   test_qconv_transpose3d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.003s)
2023-01-11T21:20:41.8768185Z   test_embedding (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.249s)
2023-01-11T21:20:41.8768368Z   test_embedding_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps)
2023-01-11T21:20:41.8768508Z Tests the case where 2D indices are passed into the operator ... ok (0.003s)
2023-01-11T21:20:41.8768703Z   test_embedding_bag_2bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.132s)
2023-01-11T21:20:41.8768927Z   test_embedding_bag_2bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.001s)
2023-01-11T21:20:41.8769103Z   test_embedding_bag_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps)
2023-01-11T21:20:41.8769240Z Tests the case where 2D indices are passed into the operator ... ok (0.004s)
2023-01-11T21:20:41.8769432Z   test_embedding_bag_4bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.181s)
2023-01-11T21:20:41.8769655Z   test_embedding_bag_4bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.001s)
2023-01-11T21:20:41.8769843Z   test_embedding_bag_byte (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.358s)
2023-01-11T21:20:41.8770064Z   test_embedding_bag_byte_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.001s)
2023-01-11T21:20:41.8770269Z   test_conv1d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.620s)
2023-01-11T21:20:41.8770474Z   test_conv2d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.673s)
2023-01-11T21:20:41.8770676Z   test_conv3d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.205s)
2023-01-11T21:20:41.8771465Z   test_grid_sample (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4236: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2023-01-11T21:20:41.8771583Z   "Default grid_sample and affine_grid behavior has changed "
2023-01-11T21:20:41.8771647Z ok (0.064s)
2023-01-11T21:20:41.8771847Z   test_relu_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.002s)
2023-01-11T21:20:41.8772014Z   test_qlinear (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (2.659s)
2023-01-11T21:20:41.8772214Z   test_qlinear_cudnn (quantization.core.test_quantized_op.TestQuantizedLinear) ... skip: cudnn is not enabled. (0.008s)
2023-01-11T21:20:41.8772393Z   test_qlinear_leaky_relu (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (1.126s)
2023-01-11T21:20:41.8772568Z   test_qlinear_relu (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (2.592s)
2023-01-11T21:20:41.8772737Z   test_qlinear_tanh (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (0.608s)
2023-01-11T21:20:41.8772911Z   test_qlinear_unpack (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (0.359s)
2023-01-11T21:20:41.8773104Z   test_qlinear_with_input_q_dq_qweight_dq_output_fp32 (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (0.312s)
2023-01-11T21:20:41.8773278Z   test_adaptive_avg_pool (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.626s)
2023-01-11T21:20:41.8773458Z   test_adaptive_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.080s)
2023-01-11T21:20:41.8773640Z   test_adaptive_avg_pool3d_ndhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.075s)
2023-01-11T21:20:41.8773809Z   test_add_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.207s)
2023-01-11T21:20:41.8773976Z   test_advanced_indexing (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8774119Z Verifies that the x[:, [0], :, :] syntax works for quantized tensors. ... ok (0.006s)
2023-01-11T21:20:41.8774273Z   test_avg_pool2d (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8774440Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.067s)
2023-01-11T21:20:41.8774598Z   test_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8774776Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.145s)
2023-01-11T21:20:41.8774930Z   test_avg_pool3d (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8775108Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (4.697s)
2023-01-11T21:20:41.8775265Z   test_avg_pool3d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8775441Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (6.763s)
2023-01-11T21:20:41.8775606Z   test_batch_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.685s)
2023-01-11T21:20:41.8775770Z   test_batch_norm_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.504s)
2023-01-11T21:20:41.8775915Z   test_cat (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.375s)
2023-01-11T21:20:41.8776074Z   test_cat_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.318s)
2023-01-11T21:20:41.8776243Z   test_channel_shuffle (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (2.369s)
2023-01-11T21:20:41.8776851Z   test_custom_module_lstm (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2023-01-11T21:20:41.8777058Z   reduce_range will be deprecated in a future release of PyTorch."
2023-01-11T21:20:41.8777128Z ok (63.529s)
2023-01-11T21:20:41.8777707Z   test_custom_module_multi_head_attention (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1206: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2023-01-11T21:20:41.8777809Z   Returning default scale and zero point "
2023-01-11T21:20:41.8777874Z ok (12.415s)
2023-01-11T21:20:41.8778376Z   test_empty_batch (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:20:41.8778562Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:20:41.8778628Z ok (0.023s)
2023-01-11T21:20:41.8778787Z   test_equal (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.202s)
2023-01-11T21:20:41.8778951Z   test_group_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (6.322s)
2023-01-11T21:20:41.8779115Z   test_hardswish (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.588s)
2023-01-11T21:20:41.8779275Z   test_hardtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.536s)
2023-01-11T21:20:41.8779443Z   test_instance_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.535s)
2023-01-11T21:20:41.8779597Z   test_interpolate (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8779724Z This test cover upsample_nearest2d and upsample_bilinear2d ... ok (2.925s)
2023-01-11T21:20:41.8779882Z   test_interpolate3d (quantization.core.test_quantized_op.TestQuantizedOps)
2023-01-11T21:20:41.8779989Z This test cover upsample_nearest3d ... ok (17.698s)
2023-01-11T21:20:41.8780155Z   test_leaky_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.021s)
2023-01-11T21:20:41.8780339Z   test_leaky_relu_observed_output (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.582s)
2023-01-11T21:20:41.8780511Z   test_linear_bias_unpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.003s)
2023-01-11T21:20:41.8780671Z   test_max_pool1d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.263s)
2023-01-11T21:20:41.8780832Z   test_max_pool2d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.619s)
2023-01-11T21:20:41.8781028Z   test_max_pool2d_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.006s)
2023-01-11T21:20:41.8781183Z   test_max_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.573s)
2023-01-11T21:20:41.8781341Z   test_mean (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.435s)
2023-01-11T21:20:41.8781509Z   test_mul_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.249s)
2023-01-11T21:20:41.8782068Z   test_qadd_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... [W Resize.cpp:33] Warning: An output with one or more elements was resized since it had shape [1, 1, 4, 4], which does not match the required output shape [2, 1, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2023-01-11T21:20:41.8782141Z ok (0.002s)
2023-01-11T21:20:41.8782339Z   test_qadd_relu_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s)
2023-01-11T21:20:41.8782542Z   test_qadd_relu_cudnn_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s)
2023-01-11T21:20:41.8782775Z   test_qadd_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.006s)
2023-01-11T21:20:41.8782987Z   test_qadd_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s)
2023-01-11T21:20:41.8783147Z   test_qcelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.142s)
2023-01-11T21:20:41.8783294Z   test_qclamp (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.847s)
2023-01-11T21:20:41.8783447Z   test_qelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.171s)
2023-01-11T21:20:41.8783602Z   test_qgelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.046s)
2023-01-11T21:20:41.8783767Z   test_qhardsigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.378s)
2023-01-11T21:20:41.8783938Z   test_qlayer_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.096s)
2023-01-11T21:20:41.8784102Z   test_qmatmul (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.179s)
2023-01-11T21:20:41.8784259Z   test_qmul_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.002s)
2023-01-11T21:20:41.8784440Z   test_qmul_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.006s)
2023-01-11T21:20:41.8784616Z   test_qmul_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.443s)
2023-01-11T21:20:41.8784772Z   test_qprelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.046s)
2023-01-11T21:20:41.8784927Z   test_qrelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.852s)
2023-01-11T21:20:41.8785081Z   test_qrelu6 (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.234s)
2023-01-11T21:20:41.8785240Z   test_qsoftmax (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.162s)
2023-01-11T21:20:41.8785412Z   test_qsoftmax_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (3.295s)
2023-01-11T21:20:41.8785677Z   test_qtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.006s)
2023-01-11T21:20:41.8785831Z   test_qthreshold (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.165s)
2023-01-11T21:20:41.8786261Z   test_qtopk (quantization.core.test_quantized_op.TestQuantizedOps) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_op.py:1999: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:20:41.8786357Z   indices = torch.tensor(X).long()
2023-01-11T21:20:41.8786422Z ok (0.139s)
2023-01-11T21:20:41.8786604Z   test_quantized_mean_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.019s)
2023-01-11T21:20:41.8786767Z   test_sigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.185s)
2023-01-11T21:20:41.8786940Z   test_sigmoid_non_observed (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.769s)
2023-01-11T21:20:41.8787097Z   test_std (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.706s)
2023-01-11T21:20:41.8787281Z   test_bfp16_quantize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s)
2023-01-11T21:20:41.8787552Z   test_choose_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2023-01-11T21:20:41.8787750Z   test_choose_qparams_optimized (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.016s)
2023-01-11T21:20:41.8787920Z   test_clone (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8788154Z   test_compare_per_channel_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s)
2023-01-11T21:20:41.8788443Z   test_compare_per_tensor_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s)
2023-01-11T21:20:41.8788680Z   test_cuda_quantization_does_not_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s)
2023-01-11T21:20:41.8788888Z   test_decomposed_dequantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8789092Z   test_decomposed_dequantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2023-01-11T21:20:41.8789296Z   test_decomposed_dynamic_quant_pattern (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8789499Z   test_decomposed_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8789687Z   test_decomposed_quantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8789877Z   test_dequantize_fp16_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8790093Z   test_dequantize_fp16_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2023-01-11T21:20:41.8790492Z   test_fp16_saturate_op (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:1390: UserWarning: FOUND weight out of range  (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/QuantUtils.h:215.)
2023-01-11T21:20:41.8790584Z   y = torch._saturate_weight_to_fp16(x)
2023-01-11T21:20:41.8790650Z ok (0.001s)
2023-01-11T21:20:41.8790836Z   test_jit_serialization (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s)
2023-01-11T21:20:41.8791036Z   test_per_channel_qtensor_creation_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8791266Z   test_per_channel_qtensor_creation_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2023-01-11T21:20:41.8791471Z   test_per_channel_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8791671Z   test_per_channel_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s)
2023-01-11T21:20:41.8791874Z   test_per_tensor_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2023-01-11T21:20:41.8792085Z   test_per_tensor_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s)
2023-01-11T21:20:41.8792898Z   test_pickle_checkpoint_qtensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:309: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8792982Z   device=storage.device,
2023-01-11T21:20:41.8793681Z /opt/conda/lib/python3.7/site-packages/torch/_utils.py:330: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8793763Z   device=storage.device,
2023-01-11T21:20:41.8793829Z ok (0.006s)
2023-01-11T21:20:41.8794015Z   test_qscheme_pickle (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8794262Z   test_qtensor_channel_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.078s)
2023-01-11T21:20:41.8794468Z   test_qtensor_copy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.016s)
2023-01-11T21:20:41.8794638Z   test_qtensor_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s)
2023-01-11T21:20:41.8794825Z   test_qtensor_creation (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2023-01-11T21:20:41.8795030Z   test_qtensor_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2023-01-11T21:20:41.8795213Z   test_qtensor_dtypes (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8795404Z   test_qtensor_fill_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2023-01-11T21:20:41.8795606Z   test_qtensor_fill_per_channel_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.010s)
2023-01-11T21:20:41.8795798Z   test_qtensor_fill_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2023-01-11T21:20:41.8795993Z   test_qtensor_fill_per_tensor_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s)
2023-01-11T21:20:41.8796184Z   test_qtensor_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s)
2023-01-11T21:20:41.8796361Z   test_qtensor_index_put_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s)
2023-01-11T21:20:41.8796577Z   test_qtensor_index_put_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2023-01-11T21:20:41.8796769Z   test_qtensor_index_select_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8796995Z   test_qtensor_index_select_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2023-01-11T21:20:41.8797180Z   test_qtensor_int_repr (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8797737Z   test_qtensor_legacy_new_failure (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:410: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8797869Z   self.assertRaises(RuntimeError, lambda: qr.new(r.storage()))
2023-01-11T21:20:41.8797939Z ok (0.005s)
2023-01-11T21:20:41.8798478Z   test_qtensor_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8798618Z   self.assertEqual(qr2.storage().data_ptr(), qrv2.storage().data_ptr())
2023-01-11T21:20:41.8798683Z ok (0.005s)
2023-01-11T21:20:41.8798864Z   test_qtensor_masked_fill_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s)
2023-01-11T21:20:41.8799081Z   test_qtensor_masked_fill_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2023-01-11T21:20:41.8799278Z   test_qtensor_per_channel_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s)
2023-01-11T21:20:41.8799475Z   test_qtensor_per_channel_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.011s)
2023-01-11T21:20:41.8799693Z   test_qtensor_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s)
2023-01-11T21:20:41.8799907Z   test_qtensor_quant_dequant (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2023-01-11T21:20:41.8800106Z   test_qtensor_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (6.842s)
2023-01-11T21:20:41.8800291Z   test_qtensor_reshape (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2023-01-11T21:20:41.8800708Z   test_qtensor_resize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:767: UserWarning: non-inplace resize is deprecated
2023-01-11T21:20:41.8800875Z   warnings.warn("non-inplace resize is deprecated")
2023-01-11T21:20:41.8800929Z ok (0.003s)
2023-01-11T21:20:41.8801482Z   test_qtensor_sub_byte_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:290: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8801673Z   self.assertEqual(qr.storage().size(), rows * math.ceil(cols / elements_per_byte), f"with {dtype}, {elements_per_byte}")
2023-01-11T21:20:41.8802108Z /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:299: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8802299Z   self.assertEqual(q.storage().size(), math.ceil(num_elements / elements_per_byte), f"with {dtype}, {elements_per_byte}")
2023-01-11T21:20:41.8802367Z ok (0.003s)
2023-01-11T21:20:41.8802571Z   test_qtensor_sub_byte_not_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2023-01-11T21:20:41.8802756Z   test_qtensor_unsqueeze (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.013s)
2023-01-11T21:20:41.8802935Z   test_qtensor_view (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s)
2023-01-11T21:20:41.8803144Z   test_quant_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s)
2023-01-11T21:20:41.8803350Z   test_quantize_per_channel_float_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (6.825s)
2023-01-11T21:20:41.8803645Z   test_quantize_per_channel_sub_byte (quantization.core.test_quantized_tensor.TestQuantizedTensor)
2023-01-11T21:20:41.8803855Z Tests the per channel quantization scheme for 4-bit qtensors. ... ok (0.233s)
2023-01-11T21:20:41.8804034Z   test_repeat (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2023-01-11T21:20:41.8804229Z   test_torch_qtensor_deepcopy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2023-01-11T21:20:41.8804439Z   test_observer_scriptable (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.016s)
2023-01-11T21:20:41.8804643Z   test_record_observer (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.009s)
2023-01-11T21:20:41.8804824Z   test_rnn (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
2023-01-11T21:20:41.8804974Z Checks the rnn reference quantized modules has correct numerics ... ok (0.014s)
2023-01-11T21:20:41.8805145Z   test_rnn_cell (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
2023-01-11T21:20:41.8805297Z Checks the rnn cell reference quantized modules has correct numerics ... ok (0.007s)
2023-01-11T21:20:41.8805535Z   test_sparse (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
2023-01-11T21:20:41.8805636Z Embedding and EmbeddingBag ... ok (0.005s)
2023-01-11T21:20:41.8805848Z   test_conv2d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.096s)
2023-01-11T21:20:41.8806041Z   test_conv2d_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.050s)
2023-01-11T21:20:41.8806231Z   test_conv2d_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.034s)
2023-01-11T21:20:41.8806419Z   test_conv2d_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.046s)
2023-01-11T21:20:41.8806610Z   test_conv2d_nobias (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.087s)
2023-01-11T21:20:41.8806790Z   test_conv2d_nobias_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.049s)
2023-01-11T21:20:41.8806983Z   test_conv2d_nobias_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.047s)
2023-01-11T21:20:41.8807180Z   test_conv2d_nobias_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.045s)
2023-01-11T21:20:41.8807366Z   test_conv2d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.088s)
2023-01-11T21:20:41.8807545Z   test_conv3d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s)
2023-01-11T21:20:41.8807730Z   test_conv3d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s)
2023-01-11T21:20:41.8807926Z   test_default_qat_qconfig (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.014s)
2023-01-11T21:20:41.8808103Z   test_linear (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.044s)
2023-01-11T21:20:41.8808291Z   test_linear_dynamic (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.063s)
2023-01-11T21:20:41.8808466Z   test_linear_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.044s)
2023-01-11T21:20:41.8809304Z   test_linear_relu_package_quantization_transforms (quantization.bc.test_backward_compatibility.TestSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8809411Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:20:41.8809880Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:1436: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2023-01-11T21:20:41.8810040Z   "Passing a QConfig dictionary to prepare is deprecated and will not be supported "
2023-01-11T21:20:41.8810547Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node child_packed_weight_0 target child_packed_weight_0 child_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8810759Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8811234Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2023-01-11T21:20:41.8811445Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2023-01-11T21:20:41.8811512Z ok (0.359s)
2023-01-11T21:20:41.8811691Z   test_lstm (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.037s)
2023-01-11T21:20:41.8811918Z   test_per_channel_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.004s)
2023-01-11T21:20:41.8812114Z   test_per_tensor_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.003s)
2023-01-11T21:20:41.8812324Z   test_batch_norm2d (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8812455Z Tests the correctness of the batchnorm2d module. ... ok (0.002s)
2023-01-11T21:20:41.8812999Z   test_batch_norm2d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2023-01-11T21:20:41.8813122Z   "must run observer before calling calculate_qparams. " +
2023-01-11T21:20:41.8813188Z ok (0.009s)
2023-01-11T21:20:41.8813374Z   test_batch_norm3d (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8813504Z Tests the correctness of the batchnorm3d module. ... ok (0.002s)
2023-01-11T21:20:41.8813704Z   test_batch_norm3d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.008s)
2023-01-11T21:20:41.8813890Z   test_channel_shuffle (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8814021Z Tests the correctness of the ChannelShuffle module. ... ok (0.013s)
2023-01-11T21:20:41.8814213Z   test_conv1d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (8.248s)
2023-01-11T21:20:41.8814395Z   test_conv2d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (7.223s)
2023-01-11T21:20:41.8814575Z   test_conv3d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.526s)
2023-01-11T21:20:41.8814752Z   test_dropout (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8814873Z Tests the correctness of the dropout module. ... ok (0.002s)
2023-01-11T21:20:41.8815070Z   test_dropout_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.006s)
2023-01-11T21:20:41.8815244Z   test_elu (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8815361Z Tests the correctness of the ELU module. ... ok (0.002s)
2023-01-11T21:20:41.8815557Z   test_embedding_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (5.531s)
2023-01-11T21:20:41.8815744Z   test_embedding_bag_api (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8815915Z Test execution and serialization for dynamic quantized embedding_bag modules on int8 ... ok (5.735s)
2023-01-11T21:20:41.8816091Z   test_group_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8816215Z Tests the correctness of the groupnorm module. ... ok (0.003s)
2023-01-11T21:20:41.8816394Z   test_instance_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8816518Z Tests the correctness of the instancenorm{n}d modules. ... ok (0.008s)
2023-01-11T21:20:41.8816692Z   test_layer_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8816816Z Tests the correctness of the layernorm module. ... ok (0.003s)
2023-01-11T21:20:41.8817005Z   test_leaky_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2023-01-11T21:20:41.8817831Z   test_linear (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/package/package_exporter.py:900: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8817944Z   storage_type_str = obj.pickle_storage_type()
2023-01-11T21:20:41.8818686Z /opt/conda/lib/python3.7/site-packages/torch/package/package_exporter.py:903: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:20:41.8818773Z   storage_numel = obj.size()
2023-01-11T21:20:41.8818839Z ok (33.199s)
2023-01-11T21:20:41.8819028Z   test_linear_leaky_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8819182Z test API functionality for nn.intrinsic.quantized.linear_leaky_relu ... ok (10.136s)
2023-01-11T21:20:41.8819378Z   test_linear_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (32.820s)
2023-01-11T21:20:41.8819556Z   test_linear_tanh (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8819712Z test API functionality for nn.intrinsic.quantized.linear_tanh ... ok (4.947s)
2023-01-11T21:20:41.8819890Z   test_pool_api (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2023-01-11T21:20:41.8820008Z Tests the correctness of the pool module. ... ok (0.014s)
2023-01-11T21:20:41.8820197Z   test_prelu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2023-01-11T21:20:41.8820396Z   test_quant_dequant_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2023-01-11T21:20:41.8820567Z   test_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2023-01-11T21:20:41.8820754Z   test_sigmoid (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2023-01-11T21:20:41.8820962Z   test_subgraph_rewriter_annotations_int (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (5.122s)
2023-01-11T21:20:41.8821184Z   test_subgraph_rewriter_correct_output_replacement (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.421s)
2023-01-11T21:20:41.8821397Z   test_subgraph_rewriter_graph_argument_order (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.049s)
2023-01-11T21:20:41.8821653Z   test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.038s)
2023-01-11T21:20:41.8821866Z   test_subgraph_rewriter_multiple_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s)
2023-01-11T21:20:41.8822083Z   test_subgraph_rewriter_pattern_is_entire_graph (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2023-01-11T21:20:41.8822335Z   test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2023-01-11T21:20:41.8822538Z   test_subgraph_rewriter_placeholder_matching (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter)
2023-01-11T21:20:41.8822674Z This tests that a placeholder Node can be matched to a Node with ... ok (0.047s)
2023-01-11T21:20:41.8822885Z   test_subgraph_rewriter_preserves_logic (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s)
2023-01-11T21:20:41.8823109Z   test_subgraph_rewriter_replaces_referenced_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.039s)
2023-01-11T21:20:41.8823320Z   test_subgraph_rewriter_single_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s)
2023-01-11T21:20:41.8823527Z   test_subgraph_rewriter_traced_as_callable (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s)
2023-01-11T21:20:41.8823737Z   test_subgraph_rewriter_with_oneliner_pattern (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2023-01-11T21:20:41.8823958Z   test_subgraph_writer_replace_consecutive_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2023-01-11T21:20:41.8824162Z   test_get_fqn_to_example_inputs_complex_args (quantization.core.test_utils.TestUtils)
2023-01-11T21:20:41.8824341Z Test that we can record complex example inputs such as lists and dicts ... ok (0.008s)
2023-01-11T21:20:41.8824497Z   test_get_fqn_to_example_inputs_default_kwargs (quantization.core.test_utils.TestUtils)
2023-01-11T21:20:41.8824663Z Test that we can get example inputs for functions with default keyword arguments ... ok (0.007s)
2023-01-11T21:20:41.8824831Z   test_get_fqn_to_example_inputs_simple (quantization.core.test_utils.TestUtils) ... ok (0.006s)
2023-01-11T21:20:41.8824995Z   test_quantize_weight_clamping_per_channel (quantization.core.test_utils.TestUtils)
2023-01-11T21:20:41.8825160Z Test quant_{min, max} from per channel observer is honored by `_quantize_weight` method ... ok (0.002s)
2023-01-11T21:20:41.8825321Z   test_quantize_weight_clamping_per_tensor (quantization.core.test_utils.TestUtils)
2023-01-11T21:20:41.8825492Z Test quant_{min, max} from per tensor observer is honored by `_quantize_weight` method ... ok (0.002s)
2023-01-11T21:20:41.8825502Z 
2023-01-11T21:20:41.8825708Z ----------------------------------------------------------------------
2023-01-11T21:20:41.8825790Z Ran 1001 tests in 818.764s
2023-01-11T21:20:41.8825796Z 
2023-01-11T21:20:41.8825855Z OK (skipped=62)
2023-01-11T21:20:41.8825872Z 
2023-01-11T21:20:41.8825944Z Generating XML reports...
2023-01-11T21:20:41.8826356Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic-20230111210702.xml
2023-01-11T21:20:41.8826757Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized-20230111210702.xml
2023-01-11T21:20:41.8827169Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization.TestAOMigrationQuantization-20230111210702.xml
2023-01-11T21:20:41.8827580Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx-20230111210702.xml
2023-01-11T21:20:41.8827946Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_backend_config.TestBackendConfig-20230111210702.xml
2023-01-11T21:20:41.8828339Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager-20230111210702.xml
2023-01-11T21:20:41.8828696Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestComparatorOps-20230111210702.xml
2023-01-11T21:20:41.8829087Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized-20230111210702.xml
2023-01-11T21:20:41.8829441Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestDistributed-20230111210702.xml
2023-01-11T21:20:41.8829834Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestDynamicQuantizedModule-20230111210702.xml
2023-01-11T21:20:41.8830214Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestDynamicQuantizedOps-20230111210702.xml
2023-01-11T21:20:41.8830582Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_equalize_eager.TestEqualizeEager-20230111210702.xml
2023-01-11T21:20:41.8830919Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_equalize_fx.TestEqualizeFx-20230111210702.xml
2023-01-11T21:20:41.8831279Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher-20230111210702.xml
2023-01-11T21:20:41.8831687Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels-20230111210702.xml
2023-01-11T21:20:41.8832095Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs-20230111210702.xml
2023-01-11T21:20:41.8832500Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels-20230111210702.xml
2023-01-11T21:20:41.8832879Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows-20230111210702.xml
2023-01-11T21:20:41.8833308Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFakeQuantize-20230111210702.xml
2023-01-11T21:20:41.8833676Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFakeQuantizeOps-20230111210702.xml
2023-01-11T21:20:41.8834023Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_fuse_eager.TestFuseEager-20230111210702.xml
2023-01-11T21:20:41.8834343Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestFuseFx-20230111210702.xml
2023-01-11T21:20:41.8834714Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFusedObsFakeQuant-20230111210702.xml
2023-01-11T21:20:41.8835109Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFusedObsFakeQuantModule-20230111210702.xml
2023-01-11T21:20:41.8835462Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_fusion_passes.TestFusionPasses-20230111210702.xml
2023-01-11T21:20:41.8835873Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization-20230111210702.xml
2023-01-11T21:20:41.8836236Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectOutliers-20230111210702.xml
2023-01-11T21:20:41.8836606Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportClass-20230111210702.xml
2023-01-11T21:20:41.8837020Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic-20230111210702.xml
2023-01-11T21:20:41.8837390Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetector-20230111210702.xml
2023-01-11T21:20:41.8837761Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportObserver-20230111210702.xml
2023-01-11T21:20:41.8838142Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportVisualizer-20230111210702.xml
2023-01-11T21:20:41.8838509Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestHistogramObserver-20230111210702.xml
2023-01-11T21:20:41.8838892Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_model_numerics.TestModelNumericsEager-20230111210702.xml
2023-01-11T21:20:41.8839274Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager-20230111210702.xml
2023-01-11T21:20:41.8839623Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestObserver-20230111210702.xml
2023-01-11T21:20:41.8839955Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestPadding-20230111210702.xml
2023-01-11T21:20:41.8840343Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQNNPackOps-20230111210702.xml
2023-01-11T21:20:41.8840721Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_docs.TestQuantizationDocs-20230111210702.xml
2023-01-11T21:20:41.8841096Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps-20230111210702.xml
2023-01-11T21:20:41.8841484Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses-20230111210702.xml
2023-01-11T21:20:41.8841859Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps-20230111210702.xml
2023-01-11T21:20:41.8842258Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic-20230111210702.xml
2023-01-11T21:20:41.8842653Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic-20230111210702.xml
2023-01-11T21:20:41.8843014Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT-20230111210702.xml
2023-01-11T21:20:41.8843530Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics-20230111210702.xml
2023-01-11T21:20:41.8843871Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFx-20230111210702.xml
2023-01-11T21:20:41.8844229Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxModels-20230111210702.xml
2023-01-11T21:20:41.8844578Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxOps-20230111210702.xml
2023-01-11T21:20:41.8844922Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJit-20230111210702.xml
2023-01-11T21:20:41.8845276Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitOps-20230111210702.xml
2023-01-11T21:20:41.8845635Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitPasses-20230111210702.xml
2023-01-11T21:20:41.8846001Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_pt2e.TestQuantizePT2EModels-20230111210702.xml
2023-01-11T21:20:41.8846347Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedConv-20230111210702.xml
2023-01-11T21:20:41.8846725Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedEmbeddingOps-20230111210702.xml
2023-01-11T21:20:41.8847126Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_functional.TestQuantizedFunctionalOps-20230111210702.xml
2023-01-11T21:20:41.8847484Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedLinear-20230111210702.xml
2023-01-11T21:20:41.8847829Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedOps-20230111210702.xml
2023-01-11T21:20:41.8848202Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_tensor.TestQuantizedTensor-20230111210702.xml
2023-01-11T21:20:41.8848595Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestRecordHistogramObserver-20230111210702.xml
2023-01-11T21:20:41.8849081Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestReferenceQuantizedModule-20230111210702.xml
2023-01-11T21:20:41.8849469Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.bc.test_backward_compatibility.TestSerialization-20230111210702.xml
2023-01-11T21:20:41.8849856Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestStaticQuantizedModule-20230111210702.xml
2023-01-11T21:20:41.8850230Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter-20230111210702.xml
2023-01-11T21:20:41.8850550Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_utils.TestUtils-20230111210702.xml
2023-01-11T21:20:41.8850559Z 
2023-01-11T21:20:41.8850921Z ##[endgroup]
2023-01-11T21:20:41.8851213Z FINISHED PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_igg94808)
2023-01-11T21:20:41.8851222Z 
2023-01-11T21:20:43.8065502Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:20:43.9546107Z Ignoring disabled issues:  []
2023-01-11T21:20:44.0802929Z Running test_unary_ufuncs ... [2023-01-11 21:20:44.079948]
2023-01-11T21:20:44.0804660Z Executing ['/opt/conda/bin/python', '-bb', 'test_unary_ufuncs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:20:44.080215]
2023-01-11T21:23:11.8875866Z 
2023-01-11T21:23:11.8876495Z Expand the folded group to see the log file of test_unary_ufuncs
2023-01-11T21:23:11.8877153Z ##[group]PRINTING LOG FILE of test_unary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_unary_ufuncs_1cwop_wh)
2023-01-11T21:23:11.8892164Z Test results will be stored in test-reports/python-unittest/test_unary_ufuncs
2023-01-11T21:23:11.8892507Z 
2023-01-11T21:23:11.8899979Z Running tests...
2023-01-11T21:23:11.8973267Z ----------------------------------------------------------------------
2023-01-11T21:23:11.8974325Z   test_abs_angle_complex_to_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... test_unary_ufuncs.py:685: UserWarning: An output with one or more elements was resized since it had shape [1], which does not match the required output shape [60]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:23:11.8975584Z   torch_fn(t, out=float_out)
2023-01-11T21:23:11.8975831Z ok (0.034s)
2023-01-11T21:23:11.8976255Z   test_abs_angle_complex_to_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.8976784Z   test_abs_big_number_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.8977317Z   test_abs_signed_zero_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.8977736Z   test_abs_signed_zero_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.8978166Z   test_abs_zero_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.8978590Z   test_abs_zero_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.8979070Z   test_batch_vs_slicing_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.8979555Z   test_batch_vs_slicing_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.8980761Z   test_batch_vs_slicing_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:167: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2023-01-11T21:23:11.8981824Z   result = torch.empty(shape, device=device, dtype=dtype)
2023-01-11T21:23:11.8982207Z ok (0.058s)
2023-01-11T21:23:11.8982567Z   test_batch_vs_slicing_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.8983011Z   test_batch_vs_slicing_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.8983464Z   test_batch_vs_slicing_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.8983941Z   test_batch_vs_slicing_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.8984428Z   test_batch_vs_slicing_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.8984878Z   test_batch_vs_slicing_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.8985279Z   test_batch_vs_slicing_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.8985660Z   test_batch_vs_slicing_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.8986137Z   test_batch_vs_slicing_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.8986607Z   test_batch_vs_slicing_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.8987112Z   test_batch_vs_slicing_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.8987603Z   test_batch_vs_slicing_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:11.8988126Z   test_batch_vs_slicing_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:11.8988554Z   test_batch_vs_slicing_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.8989068Z   test_batch_vs_slicing_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.8989585Z   test_batch_vs_slicing_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.8990064Z   test_batch_vs_slicing_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.8990521Z   test_batch_vs_slicing_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.8990951Z   test_batch_vs_slicing_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9011180Z   test_batch_vs_slicing_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9011745Z   test_batch_vs_slicing_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9012227Z   test_batch_vs_slicing_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9012777Z   test_batch_vs_slicing_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.090s)
2023-01-11T21:23:11.9013342Z   test_batch_vs_slicing_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:11.9013900Z   test_batch_vs_slicing_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9014453Z   test_batch_vs_slicing_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9014969Z   test_batch_vs_slicing_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9015479Z   test_batch_vs_slicing_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9016034Z   test_batch_vs_slicing_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9016545Z   test_batch_vs_slicing_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9017082Z   test_batch_vs_slicing_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9017605Z   test_batch_vs_slicing_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9018081Z   test_batch_vs_slicing_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9018730Z   test_batch_vs_slicing_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:11.9019210Z   test_batch_vs_slicing_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9019662Z   test_batch_vs_slicing_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9020122Z   test_batch_vs_slicing_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9020627Z   test_batch_vs_slicing_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9021149Z   test_batch_vs_slicing_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9021625Z   test_batch_vs_slicing_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9022102Z   test_batch_vs_slicing_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9022634Z   test_batch_vs_slicing_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9023128Z   test_batch_vs_slicing_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9023578Z   test_batch_vs_slicing_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9024049Z   test_batch_vs_slicing_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9024625Z   test_batch_vs_slicing_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.123s)
2023-01-11T21:23:11.9025044Z   test_batch_vs_slicing_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.101s)
2023-01-11T21:23:11.9025495Z   test_batch_vs_slicing_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9025923Z   test_batch_vs_slicing_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9026401Z   test_batch_vs_slicing_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9026923Z   test_batch_vs_slicing_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9027363Z   test_batch_vs_slicing_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9027811Z   test_batch_vs_slicing_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9028322Z   test_batch_vs_slicing_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9028834Z   test_batch_vs_slicing_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9029282Z   test_batch_vs_slicing_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9029753Z   test_batch_vs_slicing_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:11.9030246Z   test_batch_vs_slicing_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.110s)
2023-01-11T21:23:11.9030649Z   test_batch_vs_slicing_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9031113Z   test_batch_vs_slicing_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9031552Z   test_batch_vs_slicing_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9031990Z   test_batch_vs_slicing_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9032413Z   test_batch_vs_slicing_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9032858Z   test_batch_vs_slicing_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9033360Z   test_batch_vs_slicing_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9033799Z   test_batch_vs_slicing_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9034241Z   test_batch_vs_slicing_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9034720Z   test_batch_vs_slicing_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9035267Z   test_batch_vs_slicing_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:11.9035745Z   test_batch_vs_slicing_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9036251Z   test_batch_vs_slicing_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9036712Z   test_batch_vs_slicing_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9037139Z   test_batch_vs_slicing_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9037582Z   test_batch_vs_slicing_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9038033Z   test_batch_vs_slicing_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9038462Z   test_batch_vs_slicing_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9038897Z   test_batch_vs_slicing_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9039399Z   test_batch_vs_slicing_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9039772Z   test_batch_vs_slicing_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.140s)
2023-01-11T21:23:11.9040253Z   test_batch_vs_slicing_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.087s)
2023-01-11T21:23:11.9040694Z   test_batch_vs_slicing_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9041222Z   test_batch_vs_slicing_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9041697Z   test_batch_vs_slicing_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9042147Z   test_batch_vs_slicing_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9042703Z   test_batch_vs_slicing_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9043257Z   test_batch_vs_slicing_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9043871Z   test_batch_vs_slicing_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9044340Z   test_batch_vs_slicing_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9044827Z   test_batch_vs_slicing_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9046152Z   test_batch_vs_slicing_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:14367: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:276.)
2023-01-11T21:23:11.9047109Z   op=lambda x, *args, **kwargs: x.bfloat16(*args, **kwargs),
2023-01-11T21:23:11.9047443Z ok (0.026s)
2023-01-11T21:23:11.9047875Z   test_batch_vs_slicing_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:11.9048420Z   test_batch_vs_slicing_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9048957Z   test_batch_vs_slicing_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9049481Z   test_batch_vs_slicing_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9049894Z   test_batch_vs_slicing_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9050350Z   test_batch_vs_slicing_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9050803Z   test_batch_vs_slicing_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9051301Z   test_batch_vs_slicing_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9051773Z   test_batch_vs_slicing_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9052262Z   test_batch_vs_slicing_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9052906Z   test_batch_vs_slicing_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9053427Z   test_batch_vs_slicing_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9054014Z   test_batch_vs_slicing_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9054476Z   test_batch_vs_slicing_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9054990Z   test_batch_vs_slicing_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9055570Z   test_batch_vs_slicing_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9056119Z   test_batch_vs_slicing_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9056644Z   test_batch_vs_slicing_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9057190Z   test_batch_vs_slicing_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9057736Z   test_batch_vs_slicing_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9058306Z   test_batch_vs_slicing_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9058838Z   test_batch_vs_slicing_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9059376Z   test_batch_vs_slicing_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9059922Z   test_batch_vs_slicing_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9060405Z   test_batch_vs_slicing_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9060924Z   test_batch_vs_slicing_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9061451Z   test_batch_vs_slicing_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9062000Z   test_batch_vs_slicing_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9062550Z   test_batch_vs_slicing_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9063115Z   test_batch_vs_slicing_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9063691Z   test_batch_vs_slicing_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9064241Z   test_batch_vs_slicing_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9064823Z   test_batch_vs_slicing_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9065370Z   test_batch_vs_slicing_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9065848Z   test_batch_vs_slicing_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9066328Z   test_batch_vs_slicing_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9066841Z   test_batch_vs_slicing_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9067328Z   test_batch_vs_slicing_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9067767Z   test_batch_vs_slicing_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9068180Z   test_batch_vs_slicing_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9068621Z   test_batch_vs_slicing_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9069066Z   test_batch_vs_slicing_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9069470Z   test_batch_vs_slicing_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9070000Z   test_batch_vs_slicing_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9070469Z   test_batch_vs_slicing_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:11.9071052Z   test_batch_vs_slicing_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9071492Z   test_batch_vs_slicing_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9071977Z   test_batch_vs_slicing_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9072413Z   test_batch_vs_slicing_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9072842Z   test_batch_vs_slicing_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9073358Z   test_batch_vs_slicing_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9073868Z   test_batch_vs_slicing_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9074383Z   test_batch_vs_slicing_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9074802Z   test_batch_vs_slicing_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9075242Z   test_batch_vs_slicing_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9075697Z   test_batch_vs_slicing_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9076145Z   test_batch_vs_slicing_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9076597Z   test_batch_vs_slicing_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9076986Z   test_batch_vs_slicing_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9077422Z   test_batch_vs_slicing_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9077835Z   test_batch_vs_slicing_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9078266Z   test_batch_vs_slicing_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9078700Z   test_batch_vs_slicing_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9079140Z   test_batch_vs_slicing_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9079567Z   test_batch_vs_slicing_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9079944Z   test_batch_vs_slicing_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:11.9080304Z   test_batch_vs_slicing_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9080732Z   test_batch_vs_slicing_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9081170Z   test_batch_vs_slicing_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9081629Z   test_batch_vs_slicing_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9082098Z   test_batch_vs_slicing_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9082586Z   test_batch_vs_slicing_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9083066Z   test_batch_vs_slicing_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9083707Z   test_batch_vs_slicing_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9084171Z   test_batch_vs_slicing_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9084648Z   test_batch_vs_slicing_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9085151Z   test_batch_vs_slicing_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9085653Z   test_batch_vs_slicing_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9086144Z   test_batch_vs_slicing_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:11.9086631Z   test_batch_vs_slicing_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9087162Z   test_batch_vs_slicing_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9087609Z   test_batch_vs_slicing_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9088132Z   test_batch_vs_slicing_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9088579Z   test_batch_vs_slicing_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9089020Z   test_batch_vs_slicing_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9089412Z   test_batch_vs_slicing_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9089831Z   test_batch_vs_slicing_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9090296Z   test_batch_vs_slicing_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9090780Z   test_batch_vs_slicing_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9091258Z   test_batch_vs_slicing_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9091707Z   test_batch_vs_slicing_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9096271Z   test_batch_vs_slicing_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9096702Z   test_batch_vs_slicing_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9097207Z   test_batch_vs_slicing_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9097704Z   test_batch_vs_slicing_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9098174Z   test_batch_vs_slicing_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9098651Z   test_batch_vs_slicing_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9099151Z   test_batch_vs_slicing_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9099645Z   test_batch_vs_slicing_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9100139Z   test_batch_vs_slicing_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9100609Z   test_batch_vs_slicing_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9101073Z   test_batch_vs_slicing_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9101512Z   test_batch_vs_slicing_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9101926Z   test_batch_vs_slicing_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9102367Z   test_batch_vs_slicing_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9102830Z   test_batch_vs_slicing_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9103295Z   test_batch_vs_slicing_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9103775Z   test_batch_vs_slicing_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9104255Z   test_batch_vs_slicing_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9104736Z   test_batch_vs_slicing_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9105180Z   test_batch_vs_slicing_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9105646Z   test_batch_vs_slicing_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9106095Z   test_batch_vs_slicing_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9106524Z   test_batch_vs_slicing_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9106970Z   test_batch_vs_slicing_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9107435Z   test_batch_vs_slicing_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9108032Z   test_batch_vs_slicing_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9108567Z   test_batch_vs_slicing_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9109011Z   test_batch_vs_slicing_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9109434Z   test_batch_vs_slicing_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9109835Z   test_batch_vs_slicing_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9110297Z   test_batch_vs_slicing_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9110728Z   test_batch_vs_slicing_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9111186Z   test_batch_vs_slicing_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9111713Z   test_batch_vs_slicing_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9112168Z   test_batch_vs_slicing_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9112613Z   test_batch_vs_slicing_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9113009Z   test_batch_vs_slicing_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9113526Z   test_batch_vs_slicing_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9114048Z   test_batch_vs_slicing_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:11.9114487Z   test_batch_vs_slicing_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.083s)
2023-01-11T21:23:11.9114897Z   test_batch_vs_slicing_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9115372Z   test_batch_vs_slicing_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9115811Z   test_batch_vs_slicing_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9116270Z   test_batch_vs_slicing_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9116706Z   test_batch_vs_slicing_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9117197Z   test_batch_vs_slicing_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9117653Z   test_batch_vs_slicing_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9118134Z   test_batch_vs_slicing_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9118561Z   test_batch_vs_slicing_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9119025Z   test_batch_vs_slicing_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:11.9119506Z   test_batch_vs_slicing_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.080s)
2023-01-11T21:23:11.9119981Z   test_batch_vs_slicing_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9120421Z   test_batch_vs_slicing_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9120900Z   test_batch_vs_slicing_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9121439Z   test_batch_vs_slicing_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9121999Z   test_batch_vs_slicing_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9122584Z   test_batch_vs_slicing_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9123167Z   test_batch_vs_slicing_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9123840Z   test_batch_vs_slicing_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9124529Z   test_batch_vs_slicing_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9125121Z   test_batch_vs_slicing_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9125776Z   test_batch_vs_slicing_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9126346Z   test_batch_vs_slicing_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9126849Z   test_batch_vs_slicing_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9127342Z   test_batch_vs_slicing_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9127771Z   test_batch_vs_slicing_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9128218Z   test_batch_vs_slicing_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9128724Z   test_batch_vs_slicing_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9129192Z   test_batch_vs_slicing_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.434s)
2023-01-11T21:23:11.9129649Z   test_batch_vs_slicing_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9130140Z   test_batch_vs_slicing_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:11.9130600Z   test_batch_vs_slicing_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:11.9131068Z   test_batch_vs_slicing_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9131507Z   test_batch_vs_slicing_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9131964Z   test_batch_vs_slicing_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9132416Z   test_batch_vs_slicing_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9132877Z   test_batch_vs_slicing_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9133324Z   test_batch_vs_slicing_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9133789Z   test_batch_vs_slicing_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9134247Z   test_batch_vs_slicing_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9134701Z   test_batch_vs_slicing_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9135165Z   test_batch_vs_slicing_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9135611Z   test_batch_vs_slicing_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9136064Z   test_batch_vs_slicing_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9136513Z   test_batch_vs_slicing_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9136959Z   test_batch_vs_slicing_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9137399Z   test_batch_vs_slicing_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9137834Z   test_batch_vs_slicing_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9138301Z   test_batch_vs_slicing_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9138752Z   test_batch_vs_slicing_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9139204Z   test_batch_vs_slicing_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9139630Z   test_batch_vs_slicing_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9140074Z   test_batch_vs_slicing_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9140516Z   test_batch_vs_slicing_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9141023Z   test_batch_vs_slicing_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9141390Z   test_batch_vs_slicing_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9142039Z   test_batch_vs_slicing_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9142515Z   test_batch_vs_slicing_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9142978Z   test_batch_vs_slicing_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9143413Z   test_batch_vs_slicing_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9143860Z   test_batch_vs_slicing_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9144286Z   test_batch_vs_slicing_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9144721Z   test_batch_vs_slicing_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9145130Z   test_batch_vs_slicing_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9145546Z   test_batch_vs_slicing_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9145947Z   test_batch_vs_slicing_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9146382Z   test_batch_vs_slicing_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9146816Z   test_batch_vs_slicing_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9147269Z   test_batch_vs_slicing_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9147695Z   test_batch_vs_slicing_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9148040Z   test_batch_vs_slicing_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9148415Z   test_batch_vs_slicing_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9148721Z   test_batch_vs_slicing_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9149039Z   test_batch_vs_slicing_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9149354Z   test_batch_vs_slicing_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9149662Z   test_batch_vs_slicing_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9149964Z   test_batch_vs_slicing_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9150280Z   test_batch_vs_slicing_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9150599Z   test_batch_vs_slicing_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9150916Z   test_batch_vs_slicing_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9151214Z   test_batch_vs_slicing_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9151526Z   test_batch_vs_slicing_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9151840Z   test_batch_vs_slicing_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9152138Z   test_batch_vs_slicing_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9152454Z   test_batch_vs_slicing_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9152764Z   test_batch_vs_slicing_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9153074Z   test_batch_vs_slicing_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9153445Z   test_batch_vs_slicing_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9153775Z   test_batch_vs_slicing_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9154214Z   test_batch_vs_slicing_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9154736Z   test_batch_vs_slicing_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9155131Z   test_batch_vs_slicing_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9155451Z   test_batch_vs_slicing_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9155824Z   test_batch_vs_slicing_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9156120Z   test_batch_vs_slicing_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9156481Z   test_batch_vs_slicing_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9156795Z   test_batch_vs_slicing_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9157159Z   test_batch_vs_slicing_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9157464Z   test_batch_vs_slicing_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9157809Z   test_batch_vs_slicing_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9158164Z   test_batch_vs_slicing_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9158464Z   test_batch_vs_slicing_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9158836Z   test_batch_vs_slicing_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9159148Z   test_batch_vs_slicing_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9159503Z   test_batch_vs_slicing_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9159797Z   test_batch_vs_slicing_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9160142Z   test_batch_vs_slicing_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9160463Z   test_batch_vs_slicing_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9160780Z   test_batch_vs_slicing_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9161147Z   test_batch_vs_slicing_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9161473Z   test_batch_vs_slicing_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9161843Z   test_batch_vs_slicing_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9162148Z   test_batch_vs_slicing_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9162519Z   test_batch_vs_slicing_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9162832Z   test_batch_vs_slicing_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9163170Z   test_batch_vs_slicing_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9163609Z   test_batch_vs_slicing_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9163927Z   test_batch_vs_slicing_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9164271Z   test_batch_vs_slicing_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9164600Z   test_batch_vs_slicing_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9164902Z   test_batch_vs_slicing_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9165269Z   test_batch_vs_slicing_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9165591Z   test_batch_vs_slicing_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9165951Z   test_batch_vs_slicing_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9166286Z   test_batch_vs_slicing_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9166725Z   test_batch_vs_slicing_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9167050Z   test_batch_vs_slicing_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9167399Z   test_batch_vs_slicing_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9167719Z   test_batch_vs_slicing_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9168033Z   test_batch_vs_slicing_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9168346Z   test_batch_vs_slicing_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9168645Z   test_batch_vs_slicing_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9168958Z   test_batch_vs_slicing_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9169272Z   test_batch_vs_slicing_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9169580Z   test_batch_vs_slicing_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9169904Z   test_batch_vs_slicing_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9170214Z   test_batch_vs_slicing_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9170522Z   test_batch_vs_slicing_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9170814Z   test_batch_vs_slicing_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9171122Z   test_batch_vs_slicing_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9171431Z   test_batch_vs_slicing_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9171729Z   test_batch_vs_slicing_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9172045Z   test_batch_vs_slicing_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9172361Z   test_batch_vs_slicing_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9172675Z   test_batch_vs_slicing_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9173001Z   test_batch_vs_slicing_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:11.9173350Z   test_batch_vs_slicing_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:11.9173692Z   test_batch_vs_slicing_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:11.9174034Z   test_batch_vs_slicing_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:11.9174351Z   test_batch_vs_slicing_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9174665Z   test_batch_vs_slicing_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9174985Z   test_batch_vs_slicing_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9175299Z   test_batch_vs_slicing_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9175618Z   test_batch_vs_slicing_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9175932Z   test_batch_vs_slicing_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9176244Z   test_batch_vs_slicing_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9176542Z   test_batch_vs_slicing_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9176849Z   test_batch_vs_slicing_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9177156Z   test_batch_vs_slicing_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9177448Z   test_batch_vs_slicing_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9177788Z   test_batch_vs_slicing_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9178100Z   test_batch_vs_slicing_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:11.9178437Z   test_batch_vs_slicing_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9178733Z   test_batch_vs_slicing_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:11.9179038Z   test_batch_vs_slicing_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:11.9179346Z   test_batch_vs_slicing_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9179636Z   test_batch_vs_slicing_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:11.9179937Z   test_batch_vs_slicing_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9180237Z   test_batch_vs_slicing_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9180544Z   test_batch_vs_slicing_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9180844Z   test_batch_vs_slicing_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9181169Z   test_batch_vs_slicing_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9181491Z   test_batch_vs_slicing_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9181801Z   test_batch_vs_slicing_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9182112Z   test_batch_vs_slicing_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9182426Z   test_batch_vs_slicing_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9182746Z   test_batch_vs_slicing_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9183047Z   test_batch_vs_slicing_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9183356Z   test_batch_vs_slicing_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9183658Z   test_batch_vs_slicing_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9183960Z   test_batch_vs_slicing_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9184251Z   test_batch_vs_slicing_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9184552Z   test_batch_vs_slicing_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9184859Z   test_batch_vs_slicing_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9185150Z   test_batch_vs_slicing_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9185464Z   test_batch_vs_slicing_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9185787Z   test_batch_vs_slicing_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9186113Z   test_batch_vs_slicing_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9186433Z   test_batch_vs_slicing_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:11.9186764Z   test_batch_vs_slicing_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9187091Z   test_batch_vs_slicing_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9187399Z   test_batch_vs_slicing_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9187722Z   test_batch_vs_slicing_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9188039Z   test_batch_vs_slicing_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9188358Z   test_batch_vs_slicing_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9188661Z   test_batch_vs_slicing_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9189008Z   test_batch_vs_slicing_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9189358Z   test_batch_vs_slicing_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9189663Z   test_batch_vs_slicing_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9189977Z   test_batch_vs_slicing_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9190295Z   test_batch_vs_slicing_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9190617Z   test_batch_vs_slicing_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:11.9190926Z   test_batch_vs_slicing_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9191241Z   test_batch_vs_slicing_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9191559Z   test_batch_vs_slicing_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9191859Z   test_batch_vs_slicing_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9192170Z   test_batch_vs_slicing_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9192476Z   test_batch_vs_slicing_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9192779Z   test_batch_vs_slicing_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9193074Z   test_batch_vs_slicing_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9193458Z   test_batch_vs_slicing_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9193776Z   test_batch_vs_slicing_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9194096Z   test_batch_vs_slicing_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9194407Z   test_batch_vs_slicing_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9194738Z   test_batch_vs_slicing_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9195068Z   test_batch_vs_slicing_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9195371Z   test_batch_vs_slicing_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9195688Z   test_batch_vs_slicing_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9196008Z   test_batch_vs_slicing_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9196313Z   test_batch_vs_slicing_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9196601Z   test_batch_vs_slicing_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9196910Z   test_batch_vs_slicing_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9197220Z   test_batch_vs_slicing_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9197530Z   test_batch_vs_slicing_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9197853Z   test_batch_vs_slicing_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9198174Z   test_batch_vs_slicing_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9198498Z   test_batch_vs_slicing_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9198804Z   test_batch_vs_slicing_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9199124Z   test_batch_vs_slicing_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9199440Z   test_batch_vs_slicing_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9199745Z   test_batch_vs_slicing_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9200097Z   test_batch_vs_slicing_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9200455Z   test_batch_vs_slicing_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9200781Z   test_batch_vs_slicing_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9201093Z   test_batch_vs_slicing_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9201418Z   test_batch_vs_slicing_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9201747Z   test_batch_vs_slicing_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9202061Z   test_batch_vs_slicing_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9202362Z   test_batch_vs_slicing_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9202685Z   test_batch_vs_slicing_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9203005Z   test_batch_vs_slicing_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9203315Z   test_batch_vs_slicing_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9203794Z   test_batch_vs_slicing_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9204117Z   test_batch_vs_slicing_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9204439Z   test_batch_vs_slicing_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9204748Z   test_batch_vs_slicing_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9205077Z   test_batch_vs_slicing_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9205404Z   test_batch_vs_slicing_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9205713Z   test_batch_vs_slicing_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9206036Z   test_batch_vs_slicing_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9206355Z   test_batch_vs_slicing_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9206673Z   test_batch_vs_slicing_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9206976Z   test_batch_vs_slicing_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9207289Z   test_batch_vs_slicing_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9207602Z   test_batch_vs_slicing_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9207903Z   test_batch_vs_slicing_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9208255Z   test_batch_vs_slicing_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9208638Z   test_batch_vs_slicing_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9209022Z   test_batch_vs_slicing_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9209394Z   test_batch_vs_slicing_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9209773Z   test_batch_vs_slicing_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9210149Z   test_batch_vs_slicing_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9210521Z   test_batch_vs_slicing_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9210937Z   test_batch_vs_slicing_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9211307Z   test_batch_vs_slicing_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9211709Z   test_batch_vs_slicing_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9212086Z   test_batch_vs_slicing_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9212447Z   test_batch_vs_slicing_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9212796Z   test_batch_vs_slicing_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9213121Z   test_batch_vs_slicing_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9213444Z   test_batch_vs_slicing_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9213753Z   test_batch_vs_slicing_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9214071Z   test_batch_vs_slicing_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9214390Z   test_batch_vs_slicing_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9214690Z   test_batch_vs_slicing_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9215004Z   test_batch_vs_slicing_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9215316Z   test_batch_vs_slicing_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9215631Z   test_batch_vs_slicing_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9215930Z   test_batch_vs_slicing_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:11.9216248Z   test_batch_vs_slicing_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.064s)
2023-01-11T21:23:11.9216572Z   test_batch_vs_slicing_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.070s)
2023-01-11T21:23:11.9216879Z   test_batch_vs_slicing_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9217194Z   test_batch_vs_slicing_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9217505Z   test_batch_vs_slicing_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9217809Z   test_batch_vs_slicing_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9218094Z   test_batch_vs_slicing_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9218403Z   test_batch_vs_slicing_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9218710Z   test_batch_vs_slicing_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9219012Z   test_batch_vs_slicing_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9219326Z   test_batch_vs_slicing_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9219643Z   test_batch_vs_slicing_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.071s)
2023-01-11T21:23:11.9219968Z   test_batch_vs_slicing_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:11.9220276Z   test_batch_vs_slicing_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9220588Z   test_batch_vs_slicing_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9220901Z   test_batch_vs_slicing_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9221192Z   test_batch_vs_slicing_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9221498Z   test_batch_vs_slicing_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9221902Z   test_batch_vs_slicing_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9222211Z   test_batch_vs_slicing_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9222548Z   test_batch_vs_slicing_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9222863Z   test_batch_vs_slicing_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:11.9223182Z   test_batch_vs_slicing_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:11.9223508Z   test_batch_vs_slicing_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.070s)
2023-01-11T21:23:11.9223812Z   test_batch_vs_slicing_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9224121Z   test_batch_vs_slicing_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9224429Z   test_batch_vs_slicing_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9224727Z   test_batch_vs_slicing_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9225029Z   test_batch_vs_slicing_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9225335Z   test_batch_vs_slicing_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9225639Z   test_batch_vs_slicing_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.140s)
2023-01-11T21:23:11.9225933Z   test_batch_vs_slicing_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9226244Z   test_batch_vs_slicing_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9226556Z   test_batch_vs_slicing_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.064s)
2023-01-11T21:23:11.9226862Z   test_batch_vs_slicing_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:11.9227177Z   test_batch_vs_slicing_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9227487Z   test_batch_vs_slicing_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9227792Z   test_batch_vs_slicing_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9228086Z   test_batch_vs_slicing_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9228389Z   test_batch_vs_slicing_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9228699Z   test_batch_vs_slicing_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9228994Z   test_batch_vs_slicing_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9229313Z   test_batch_vs_slicing_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9229642Z   test_batch_vs_slicing_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9229974Z   test_batch_vs_slicing_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9230298Z   test_batch_vs_slicing_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9230632Z   test_batch_vs_slicing_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9230961Z   test_batch_vs_slicing_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9231285Z   test_batch_vs_slicing_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9231595Z   test_batch_vs_slicing_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9231916Z   test_batch_vs_slicing_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9232234Z   test_batch_vs_slicing_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9232538Z   test_batch_vs_slicing_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9232888Z   test_batch_vs_slicing_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9233207Z   test_batch_vs_slicing_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9233610Z   test_batch_vs_slicing_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.089s)
2023-01-11T21:23:11.9233915Z   test_batch_vs_slicing_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:11.9234230Z   test_batch_vs_slicing_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:11.9234544Z   test_batch_vs_slicing_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:11.9234840Z   test_batch_vs_slicing_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:11.9235145Z   test_batch_vs_slicing_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.120s)
2023-01-11T21:23:11.9235452Z   test_batch_vs_slicing_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.115s)
2023-01-11T21:23:11.9235764Z   test_batch_vs_slicing_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.114s)
2023-01-11T21:23:11.9236064Z   test_batch_vs_slicing_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9236379Z   test_batch_vs_slicing_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9236696Z   test_batch_vs_slicing_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9237005Z   test_batch_vs_slicing_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9237328Z   test_batch_vs_slicing_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9237645Z   test_batch_vs_slicing_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9237957Z   test_batch_vs_slicing_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9238258Z   test_batch_vs_slicing_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9238571Z   test_batch_vs_slicing_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9238878Z   test_batch_vs_slicing_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9239169Z   test_batch_vs_slicing_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9239476Z   test_batch_vs_slicing_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9239781Z   test_batch_vs_slicing_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9240115Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9240456Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:11.9240807Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:11.9241159Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9241496Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9241817Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9242165Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9242508Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9242839Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.086s)
2023-01-11T21:23:11.9243184Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.072s)
2023-01-11T21:23:11.9243662Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.113s)
2023-01-11T21:23:11.9244079Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:11.9244443Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:11.9244783Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.080s)
2023-01-11T21:23:11.9245123Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.080s)
2023-01-11T21:23:11.9245463Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:11.9245799Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:11.9246146Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.096s)
2023-01-11T21:23:11.9246494Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.170s)
2023-01-11T21:23:11.9246841Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.103s)
2023-01-11T21:23:11.9247172Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.103s)
2023-01-11T21:23:11.9247511Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.103s)
2023-01-11T21:23:11.9247851Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.103s)
2023-01-11T21:23:11.9248179Z   test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.103s)
2023-01-11T21:23:11.9248513Z   test_batch_vs_slicing_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9248839Z   test_batch_vs_slicing_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9249166Z   test_batch_vs_slicing_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9249480Z   test_batch_vs_slicing_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9249801Z   test_batch_vs_slicing_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9250123Z   test_batch_vs_slicing_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9250429Z   test_batch_vs_slicing_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9250744Z   test_batch_vs_slicing_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9251064Z   test_batch_vs_slicing_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9251378Z   test_batch_vs_slicing_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9251679Z   test_batch_vs_slicing_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9252001Z   test_batch_vs_slicing_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9252324Z   test_batch_vs_slicing_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9252644Z   test_batch_vs_slicing_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9252949Z   test_batch_vs_slicing_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9253259Z   test_batch_vs_slicing_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9253564Z   test_batch_vs_slicing_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9253854Z   test_batch_vs_slicing_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9254158Z   test_batch_vs_slicing_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9254461Z   test_batch_vs_slicing_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9254799Z   test_batch_vs_slicing_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9255092Z   test_batch_vs_slicing_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9255454Z   test_batch_vs_slicing_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9255805Z   test_batch_vs_slicing_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9256132Z   test_batch_vs_slicing_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9256472Z   test_batch_vs_slicing_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9256816Z   test_batch_vs_slicing_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9257152Z   test_batch_vs_slicing_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9257492Z   test_batch_vs_slicing_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9257859Z   test_batch_vs_slicing_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9258219Z   test_batch_vs_slicing_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9258580Z   test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9258932Z   test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9259296Z   test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9259651Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9259992Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9260351Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9260705Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9261050Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9261387Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9261732Z   test_batch_vs_slicing_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9262089Z   test_batch_vs_slicing_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:11.9262451Z   test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9262797Z   test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9263149Z   test_batch_vs_slicing_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9263496Z   test_batch_vs_slicing_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9263834Z   test_batch_vs_slicing_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9264166Z   test_batch_vs_slicing_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9264513Z   test_batch_vs_slicing_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9264853Z   test_batch_vs_slicing_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9265181Z   test_batch_vs_slicing_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9265522Z   test_batch_vs_slicing_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9265894Z   test_batch_vs_slicing_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9266260Z   test_batch_vs_slicing_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9266585Z   test_batch_vs_slicing_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9266918Z   test_batch_vs_slicing_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9267258Z   test_batch_vs_slicing_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9267593Z   test_batch_vs_slicing_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9267920Z   test_batch_vs_slicing_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9268267Z   test_batch_vs_slicing_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9268603Z   test_batch_vs_slicing_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9268937Z   test_batch_vs_slicing_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9269272Z   test_batch_vs_slicing_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9269606Z   test_batch_vs_slicing_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9269940Z   test_batch_vs_slicing_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9270265Z   test_batch_vs_slicing_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9270627Z   test_batch_vs_slicing_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:11.9271014Z   test_batch_vs_slicing_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.000s)
2023-01-11T21:23:11.9271396Z   test_batch_vs_slicing_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.000s)
2023-01-11T21:23:11.9271745Z   test_batch_vs_slicing_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9272090Z   test_batch_vs_slicing_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9272427Z   test_batch_vs_slicing_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9272779Z   test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9273133Z   test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9273567Z   test_batch_vs_slicing_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9273913Z   test_batch_vs_slicing_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9274240Z   test_batch_vs_slicing_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9274590Z   test_batch_vs_slicing_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9274943Z   test_batch_vs_slicing_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9275295Z   test_batch_vs_slicing_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9275638Z   test_batch_vs_slicing_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9275993Z   test_batch_vs_slicing_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9276383Z   test_batch_vs_slicing_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9276734Z   test_batch_vs_slicing_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9277116Z   test_batch_vs_slicing_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9277472Z   test_batch_vs_slicing_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:11.9277824Z   test_batch_vs_slicing_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:11.9278164Z   test_batch_vs_slicing_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9278511Z   test_batch_vs_slicing_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9278861Z   test_batch_vs_slicing_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9279209Z   test_batch_vs_slicing_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9279545Z   test_batch_vs_slicing_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9279890Z   test_batch_vs_slicing_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9280234Z   test_batch_vs_slicing_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9280589Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9280943Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:11.9281306Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.093s)
2023-01-11T21:23:11.9281665Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9282019Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9282357Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9282708Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9283056Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9283520Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9283877Z   test_batch_vs_slicing_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9284230Z   test_batch_vs_slicing_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9284591Z   test_batch_vs_slicing_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9284933Z   test_batch_vs_slicing_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9285282Z   test_batch_vs_slicing_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9285628Z   test_batch_vs_slicing_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9285977Z   test_batch_vs_slicing_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9286315Z   test_batch_vs_slicing_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9286663Z   test_batch_vs_slicing_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9287016Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.440s)
2023-01-11T21:23:11.9287421Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9287825Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9288182Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:11.9288539Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9288871Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9289221Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9289569Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9289923Z   test_batch_vs_slicing_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9290264Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9290617Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9290972Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9291327Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9291666Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9292016Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9292360Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9292697Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9293047Z   test_batch_vs_slicing_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9293399Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.260s)
2023-01-11T21:23:11.9293749Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.129s)
2023-01-11T21:23:11.9294089Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.254s)
2023-01-11T21:23:11.9294441Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.263s)
2023-01-11T21:23:11.9294790Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.127s)
2023-01-11T21:23:11.9295138Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.139s)
2023-01-11T21:23:11.9295475Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.127s)
2023-01-11T21:23:11.9295822Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.126s)
2023-01-11T21:23:11.9296171Z   test_batch_vs_slicing_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.200s)
2023-01-11T21:23:11.9296523Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.258s)
2023-01-11T21:23:11.9296862Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.128s)
2023-01-11T21:23:11.9297209Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.251s)
2023-01-11T21:23:11.9297559Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.261s)
2023-01-11T21:23:11.9297929Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9298278Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.138s)
2023-01-11T21:23:11.9298651Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9298999Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9299335Z   test_batch_vs_slicing_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.197s)
2023-01-11T21:23:11.9299689Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.256s)
2023-01-11T21:23:11.9300038Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.129s)
2023-01-11T21:23:11.9300391Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.248s)
2023-01-11T21:23:11.9300740Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.257s)
2023-01-11T21:23:11.9301090Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9301437Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.138s)
2023-01-11T21:23:11.9301782Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9302118Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:11.9302463Z   test_batch_vs_slicing_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.196s)
2023-01-11T21:23:11.9302800Z   test_batch_vs_slicing_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9303118Z   test_batch_vs_slicing_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9303453Z   test_batch_vs_slicing_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9303788Z   test_batch_vs_slicing_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9304119Z   test_batch_vs_slicing_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9304435Z   test_batch_vs_slicing_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9304763Z   test_batch_vs_slicing_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9305083Z   test_batch_vs_slicing_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9305388Z   test_batch_vs_slicing_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9305712Z   test_batch_vs_slicing_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9306032Z   test_batch_vs_slicing_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9306350Z   test_batch_vs_slicing_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9306661Z   test_batch_vs_slicing_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9306983Z   test_batch_vs_slicing_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9307305Z   test_batch_vs_slicing_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9307623Z   test_batch_vs_slicing_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9307933Z   test_batch_vs_slicing_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9308249Z   test_batch_vs_slicing_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9308568Z   test_batch_vs_slicing_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9308904Z   test_batch_vs_slicing_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9309218Z   test_batch_vs_slicing_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9309559Z   test_batch_vs_slicing_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9309875Z   test_batch_vs_slicing_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9310175Z   test_batch_vs_slicing_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9310492Z   test_batch_vs_slicing_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9310813Z   test_batch_vs_slicing_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9311122Z   test_batch_vs_slicing_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9311437Z   test_batch_vs_slicing_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9311752Z   test_batch_vs_slicing_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9312064Z   test_batch_vs_slicing_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9312365Z   test_batch_vs_slicing_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9312670Z   test_batch_vs_slicing_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9312975Z   test_batch_vs_slicing_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9313338Z   test_batch_vs_slicing_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9313650Z   test_batch_vs_slicing_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9313975Z   test_batch_vs_slicing_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9314304Z   test_batch_vs_slicing_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9314629Z   test_batch_vs_slicing_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9314975Z   test_batch_vs_slicing_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9315309Z   test_batch_vs_slicing_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9315627Z   test_batch_vs_slicing_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9315954Z   test_batch_vs_slicing_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9316281Z   test_batch_vs_slicing_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9316610Z   test_batch_vs_slicing_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9316917Z   test_batch_vs_slicing_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9317244Z   test_batch_vs_slicing_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9317565Z   test_batch_vs_slicing_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9317885Z   test_batch_vs_slicing_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9318190Z   test_batch_vs_slicing_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9318509Z   test_batch_vs_slicing_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9318825Z   test_batch_vs_slicing_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9319124Z   test_batch_vs_slicing_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9319433Z   test_batch_vs_slicing_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9319741Z   test_batch_vs_slicing_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9320086Z   test_batch_vs_slicing_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9320431Z   test_batch_vs_slicing_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9320774Z   test_batch_vs_slicing_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9321117Z   test_batch_vs_slicing_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9321441Z   test_batch_vs_slicing_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9321772Z   test_batch_vs_slicing_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9322104Z   test_batch_vs_slicing_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9322522Z   test_batch_vs_slicing_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9322859Z   test_batch_vs_slicing_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9323262Z   test_batch_vs_slicing_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9323690Z   test_batch_vs_slicing_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9324008Z   test_batch_vs_slicing_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9324316Z   test_batch_vs_slicing_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9324639Z   test_batch_vs_slicing_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:11.9324961Z   test_batch_vs_slicing_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9325264Z   test_batch_vs_slicing_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9325583Z   test_batch_vs_slicing_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9325897Z   test_batch_vs_slicing_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9326205Z   test_batch_vs_slicing_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9326500Z   test_batch_vs_slicing_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9326808Z   test_batch_vs_slicing_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9327117Z   test_batch_vs_slicing_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9327416Z   test_batch_vs_slicing_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9327729Z   test_batch_vs_slicing_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9328043Z   test_batch_vs_slicing_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:11.9328362Z   test_batch_vs_slicing_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9328664Z   test_batch_vs_slicing_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9328971Z   test_batch_vs_slicing_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9329278Z   test_batch_vs_slicing_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9329565Z   test_batch_vs_slicing_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9329869Z   test_batch_vs_slicing_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9330170Z   test_batch_vs_slicing_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9330479Z   test_batch_vs_slicing_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9330772Z   test_batch_vs_slicing_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9331143Z   test_batch_vs_slicing_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9331458Z   test_batch_vs_slicing_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9331811Z   test_batch_vs_slicing_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9332124Z   test_batch_vs_slicing_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9332444Z   test_batch_vs_slicing_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9332756Z   test_batch_vs_slicing_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9333058Z   test_batch_vs_slicing_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9333369Z   test_batch_vs_slicing_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9333675Z   test_batch_vs_slicing_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9333981Z   test_batch_vs_slicing_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9334273Z   test_batch_vs_slicing_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9334586Z   test_batch_vs_slicing_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9334900Z   test_batch_vs_slicing_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9335208Z   test_batch_vs_slicing_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9335531Z   test_batch_vs_slicing_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9335858Z   test_batch_vs_slicing_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9336179Z   test_batch_vs_slicing_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9336487Z   test_batch_vs_slicing_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9336804Z   test_batch_vs_slicing_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9337123Z   test_batch_vs_slicing_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9337422Z   test_batch_vs_slicing_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9337740Z   test_batch_vs_slicing_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9338056Z   test_batch_vs_slicing_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9338368Z   test_batch_vs_slicing_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9338668Z   test_batch_vs_slicing_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9338979Z   test_batch_vs_slicing_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9339292Z   test_batch_vs_slicing_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9339594Z   test_batch_vs_slicing_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9339907Z   test_batch_vs_slicing_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9340212Z   test_batch_vs_slicing_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9340521Z   test_batch_vs_slicing_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9340820Z   test_batch_vs_slicing_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9341126Z   test_batch_vs_slicing_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9341442Z   test_batch_vs_slicing_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:11.9341761Z   test_batch_vs_slicing_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9342100Z   test_batch_vs_slicing_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9342413Z   test_batch_vs_slicing_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:11.9342762Z   test_batch_vs_slicing_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9343071Z   test_batch_vs_slicing_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9343385Z   test_batch_vs_slicing_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9343698Z   test_batch_vs_slicing_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9344011Z   test_batch_vs_slicing_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9344314Z   test_batch_vs_slicing_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9344627Z   test_batch_vs_slicing_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9344942Z   test_batch_vs_slicing_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9345245Z   test_batch_vs_slicing_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.084s)
2023-01-11T21:23:11.9345566Z   test_batch_vs_slicing_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.086s)
2023-01-11T21:23:11.9345882Z   test_batch_vs_slicing_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9346188Z   test_batch_vs_slicing_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9346481Z   test_batch_vs_slicing_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9346784Z   test_batch_vs_slicing_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9347087Z   test_batch_vs_slicing_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9347379Z   test_batch_vs_slicing_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9347688Z   test_batch_vs_slicing_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9347999Z   test_batch_vs_slicing_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9348312Z   test_batch_vs_slicing_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9348615Z   test_batch_vs_slicing_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.081s)
2023-01-11T21:23:11.9348939Z   test_batch_vs_slicing_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.088s)
2023-01-11T21:23:11.9349258Z   test_batch_vs_slicing_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9349559Z   test_batch_vs_slicing_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9349872Z   test_batch_vs_slicing_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9350179Z   test_batch_vs_slicing_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9350488Z   test_batch_vs_slicing_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9350782Z   test_batch_vs_slicing_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9351089Z   test_batch_vs_slicing_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9351403Z   test_batch_vs_slicing_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9351703Z   test_batch_vs_slicing_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9352021Z   test_batch_vs_slicing_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.085s)
2023-01-11T21:23:11.9352340Z   test_batch_vs_slicing_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.081s)
2023-01-11T21:23:11.9352658Z   test_batch_vs_slicing_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9352960Z   test_batch_vs_slicing_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9353366Z   test_batch_vs_slicing_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9353676Z   test_batch_vs_slicing_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9354026Z   test_batch_vs_slicing_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9354323Z   test_batch_vs_slicing_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9354629Z   test_batch_vs_slicing_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9354954Z   test_batch_vs_slicing_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9355276Z   test_batch_vs_slicing_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.066s)
2023-01-11T21:23:11.9355614Z   test_batch_vs_slicing_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.104s)
2023-01-11T21:23:11.9355951Z   test_batch_vs_slicing_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.070s)
2023-01-11T21:23:11.9356284Z   test_batch_vs_slicing_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:11.9356608Z   test_batch_vs_slicing_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.071s)
2023-01-11T21:23:11.9356936Z   test_batch_vs_slicing_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.071s)
2023-01-11T21:23:11.9357264Z   test_batch_vs_slicing_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.089s)
2023-01-11T21:23:11.9357587Z   test_batch_vs_slicing_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9357927Z   test_batch_vs_slicing_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9358262Z   test_batch_vs_slicing_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9358599Z   test_batch_vs_slicing_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9358923Z   test_batch_vs_slicing_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9359256Z   test_batch_vs_slicing_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9359592Z   test_batch_vs_slicing_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9359923Z   test_batch_vs_slicing_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9360241Z   test_batch_vs_slicing_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9360576Z   test_batch_vs_slicing_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9360913Z   test_batch_vs_slicing_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9361232Z   test_batch_vs_slicing_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9361563Z   test_batch_vs_slicing_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9361898Z   test_batch_vs_slicing_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9362233Z   test_batch_vs_slicing_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9362552Z   test_batch_vs_slicing_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9362883Z   test_batch_vs_slicing_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9363219Z   test_batch_vs_slicing_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9363694Z   test_batch_vs_slicing_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9364015Z   test_batch_vs_slicing_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9364402Z   test_batch_vs_slicing_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9364769Z   test_batch_vs_slicing_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9365092Z   test_batch_vs_slicing_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9365422Z   test_batch_vs_slicing_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9365754Z   test_batch_vs_slicing_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9366089Z   test_batch_vs_slicing_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9366412Z   test_batch_vs_slicing_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9366746Z   test_batch_vs_slicing_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9367079Z   test_batch_vs_slicing_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9367410Z   test_batch_vs_slicing_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9367729Z   test_batch_vs_slicing_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9368060Z   test_batch_vs_slicing_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9368390Z   test_batch_vs_slicing_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9368710Z   test_batch_vs_slicing_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9369039Z   test_batch_vs_slicing_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9369365Z   test_batch_vs_slicing_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9369691Z   test_batch_vs_slicing_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9370004Z   test_batch_vs_slicing_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9370325Z   test_batch_vs_slicing_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9370648Z   test_batch_vs_slicing_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9370956Z   test_batch_vs_slicing_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9371276Z   test_batch_vs_slicing_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9371608Z   test_batch_vs_slicing_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9371940Z   test_batch_vs_slicing_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9372260Z   test_batch_vs_slicing_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9372586Z   test_batch_vs_slicing_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:11.9372910Z   test_batch_vs_slicing_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9373233Z   test_batch_vs_slicing_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9373545Z   test_batch_vs_slicing_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9373874Z   test_batch_vs_slicing_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:11.9374202Z   test_batch_vs_slicing_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9374513Z   test_batch_vs_slicing_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:11.9374835Z   test_batch_vs_slicing_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9375191Z   test_batch_vs_slicing_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9375540Z   test_batch_vs_slicing_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:11.9375847Z   test_batch_vs_slicing_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9376168Z   test_batch_vs_slicing_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9376489Z   test_batch_vs_slicing_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9376812Z   test_batch_vs_slicing_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9377120Z   test_batch_vs_slicing_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9377439Z   test_batch_vs_slicing_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9377758Z   test_batch_vs_slicing_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9378066Z   test_batch_vs_slicing_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9378385Z   test_batch_vs_slicing_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9378704Z   test_batch_vs_slicing_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9379022Z   test_batch_vs_slicing_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9379328Z   test_batch_vs_slicing_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9379650Z   test_batch_vs_slicing_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9379979Z   test_batch_vs_slicing_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:11.9380292Z   test_batch_vs_slicing_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9380616Z   test_batch_vs_slicing_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9380936Z   test_batch_vs_slicing_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9381254Z   test_batch_vs_slicing_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:11.9381560Z   test_batch_vs_slicing_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9381888Z   test_batch_vs_slicing_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9382049Z   test_batch_vs_slicing_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:11.9382206Z   test_batch_vs_slicing_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9382364Z   test_batch_vs_slicing_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9382528Z   test_batch_vs_slicing_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:11.9382675Z   test_batch_vs_slicing_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9382834Z   test_batch_vs_slicing_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9382993Z   test_batch_vs_slicing_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9383164Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9383338Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9383508Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:11.9383676Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9383875Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:11.9384067Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9384225Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9384391Z   test_batch_vs_slicing_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9384557Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9384727Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:11.9384896Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:11.9385062Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9385222Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:11.9385381Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:11.9385546Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:11.9385703Z   test_batch_vs_slicing_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:11.9385866Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9386038Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:11.9386207Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:11.9386376Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9386540Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9386704Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9386865Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9387024Z   test_batch_vs_slicing_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:11.9387187Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:11.9387345Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9387515Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9387678Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9387837Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9387996Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9388160Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9388321Z   test_batch_vs_slicing_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:11.9388477Z   test_batch_vs_slicing_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9388629Z   test_batch_vs_slicing_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9388807Z   test_batch_vs_slicing_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9388982Z   test_batch_vs_slicing_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:11.9389136Z   test_batch_vs_slicing_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9389285Z   test_batch_vs_slicing_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9389433Z   test_batch_vs_slicing_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9389581Z   test_batch_vs_slicing_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9389725Z   test_batch_vs_slicing_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:11.9389875Z   test_batch_vs_slicing_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9390023Z   test_batch_vs_slicing_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9390179Z   test_batch_vs_slicing_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9390332Z   test_batch_vs_slicing_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9390483Z   test_batch_vs_slicing_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9390635Z   test_batch_vs_slicing_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:11.9390783Z   test_batch_vs_slicing_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9390934Z   test_batch_vs_slicing_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9391122Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.437s)
2023-01-11T21:23:11.9391310Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9391487Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:11.9391674Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:11.9391853Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9392039Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9392218Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9392396Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9392581Z   test_batch_vs_slicing_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9392759Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9392935Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9393105Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9393328Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9393508Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9393681Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9393888Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:11.9394061Z   test_batch_vs_slicing_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9394267Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:11.9394441Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:11.9394610Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:11.9394776Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9394935Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:11.9395109Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9395281Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:11.9395451Z   test_batch_vs_slicing_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:11.9395622Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:11.9395796Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9395967Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9396133Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9396300Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9396461Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9396629Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:11.9396795Z   test_batch_vs_slicing_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:11.9396938Z   test_batch_vs_slicing_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9397083Z   test_batch_vs_slicing_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:11.9397236Z   test_batch_vs_slicing_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:11.9397385Z   test_batch_vs_slicing_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:11.9397530Z   test_batch_vs_slicing_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9397674Z   test_batch_vs_slicing_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9397806Z   test_batch_vs_slicing_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9397946Z   test_batch_vs_slicing_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9398080Z   test_batch_vs_slicing_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9398219Z   test_batch_vs_slicing_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9398354Z   test_batch_vs_slicing_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:11.9398502Z   test_batch_vs_slicing_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9398645Z   test_batch_vs_slicing_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9398794Z   test_batch_vs_slicing_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:11.9398974Z   test_batch_vs_slicing_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:11.9399149Z   test_batch_vs_slicing_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:11.9399290Z   test_batch_vs_slicing_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9399437Z   test_batch_vs_slicing_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9399580Z   test_batch_vs_slicing_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9399724Z   test_batch_vs_slicing_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9399866Z   test_batch_vs_slicing_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9400009Z   test_batch_vs_slicing_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9400150Z   test_batch_vs_slicing_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9400287Z   test_batch_vs_slicing_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9400431Z   test_batch_vs_slicing_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9400578Z   test_batch_vs_slicing_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.085s)
2023-01-11T21:23:11.9400722Z   test_batch_vs_slicing_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.084s)
2023-01-11T21:23:11.9400867Z   test_batch_vs_slicing_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:11.9401007Z   test_batch_vs_slicing_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9401149Z   test_batch_vs_slicing_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9401284Z   test_batch_vs_slicing_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9401408Z   test_batch_vs_slicing_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9401549Z   test_batch_vs_slicing_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9401691Z   test_batch_vs_slicing_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9401836Z   test_batch_vs_slicing_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9401975Z   test_batch_vs_slicing_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9402123Z   test_batch_vs_slicing_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.085s)
2023-01-11T21:23:11.9402271Z   test_batch_vs_slicing_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.084s)
2023-01-11T21:23:11.9402416Z   test_batch_vs_slicing_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9402550Z   test_batch_vs_slicing_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:11.9402693Z   test_batch_vs_slicing_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9402832Z   test_batch_vs_slicing_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9402972Z   test_batch_vs_slicing_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:11.9403118Z   test_batch_vs_slicing_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9403259Z   test_batch_vs_slicing_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:11.9403529Z   test_batch_vs_slicing_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:11.9403678Z   test_batch_vs_slicing_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:11.9403808Z   test_batch_vs_slicing_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:11.9403952Z   test_batch_vs_slicing_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9404140Z   test_batch_vs_slicing_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9404276Z   test_batch_vs_slicing_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9404464Z   test_batch_vs_slicing_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9404605Z   test_batch_vs_slicing_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:11.9404749Z   test_complex_edge_values_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9404891Z   test_contig_size1_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405034Z   test_contig_size1_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405166Z   test_contig_size1_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405304Z   test_contig_size1_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405448Z   test_contig_size1_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405585Z   test_contig_size1_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405725Z   test_contig_size1_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405859Z   test_contig_size1_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9405994Z   test_contig_size1_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406129Z   test_contig_size1_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406254Z   test_contig_size1_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406389Z   test_contig_size1_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406534Z   test_contig_size1_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406668Z   test_contig_size1_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406818Z   test_contig_size1_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9406964Z   test_contig_size1_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407104Z   test_contig_size1_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407245Z   test_contig_size1_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407375Z   test_contig_size1_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407513Z   test_contig_size1_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407648Z   test_contig_size1_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407782Z   test_contig_size1_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9407922Z   test_contig_size1_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408069Z   test_contig_size1_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408206Z   test_contig_size1_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408352Z   test_contig_size1_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408487Z   test_contig_size1_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408628Z   test_contig_size1_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408764Z   test_contig_size1_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9408901Z   test_contig_size1_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409040Z   test_contig_size1_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409180Z   test_contig_size1_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409351Z   test_contig_size1_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409486Z   test_contig_size1_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409659Z   test_contig_size1_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409789Z   test_contig_size1_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9409937Z   test_contig_size1_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410080Z   test_contig_size1_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410221Z   test_contig_size1_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410359Z   test_contig_size1_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410493Z   test_contig_size1_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410634Z   test_contig_size1_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410770Z   test_contig_size1_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9410898Z   test_contig_size1_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411035Z   test_contig_size1_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411173Z   test_contig_size1_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411314Z   test_contig_size1_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411452Z   test_contig_size1_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411595Z   test_contig_size1_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411737Z   test_contig_size1_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9411879Z   test_contig_size1_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412005Z   test_contig_size1_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412141Z   test_contig_size1_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412277Z   test_contig_size1_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412412Z   test_contig_size1_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412545Z   test_contig_size1_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412680Z   test_contig_size1_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412821Z   test_contig_size1_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9412957Z   test_contig_size1_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413094Z   test_contig_size1_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413239Z   test_contig_size1_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413383Z   test_contig_size1_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413518Z   test_contig_size1_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413658Z   test_contig_size1_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413797Z   test_contig_size1_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9413938Z   test_contig_size1_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414076Z   test_contig_size1_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414202Z   test_contig_size1_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414375Z   test_contig_size1_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414516Z   test_contig_size1_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414687Z   test_contig_size1_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414837Z   test_contig_size1_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9414980Z   test_contig_size1_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415119Z   test_contig_size1_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415256Z   test_contig_size1_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415392Z   test_contig_size1_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415520Z   test_contig_size1_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415659Z   test_contig_size1_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415797Z   test_contig_size1_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9415945Z   test_contig_size1_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416084Z   test_contig_size1_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416232Z   test_contig_size1_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416379Z   test_contig_size1_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416521Z   test_contig_size1_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416649Z   test_contig_size1_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416788Z   test_contig_size1_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9416927Z   test_contig_size1_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9417066Z   test_contig_size1_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9453897Z   test_contig_size1_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9454143Z   test_contig_size1_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9454296Z   test_contig_size1_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9454439Z   test_contig_size1_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9454581Z   test_contig_size1_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9454731Z   test_contig_size1_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9454871Z   test_contig_size1_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455009Z   test_contig_size1_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455156Z   test_contig_size1_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455297Z   test_contig_size1_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455434Z   test_contig_size1_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455570Z   test_contig_size1_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455697Z   test_contig_size1_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455838Z   test_contig_size1_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9455973Z   test_contig_size1_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9456112Z   test_contig_size1_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9456255Z   test_contig_size1_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9456553Z   test_contig_size1_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9456731Z   test_contig_size1_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9456875Z   test_contig_size1_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457019Z   test_contig_size1_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457150Z   test_contig_size1_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457290Z   test_contig_size1_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457432Z   test_contig_size1_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457570Z   test_contig_size1_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457708Z   test_contig_size1_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457848Z   test_contig_size1_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9457982Z   test_contig_size1_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458121Z   test_contig_size1_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458249Z   test_contig_size1_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458384Z   test_contig_size1_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458516Z   test_contig_size1_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458646Z   test_contig_size1_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458782Z   test_contig_size1_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9458921Z   test_contig_size1_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459054Z   test_contig_size1_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459200Z   test_contig_size1_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459333Z   test_contig_size1_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459470Z   test_contig_size1_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459598Z   test_contig_size1_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459736Z   test_contig_size1_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459868Z   test_contig_size1_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9459999Z   test_contig_size1_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460133Z   test_contig_size1_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460267Z   test_contig_size1_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460391Z   test_contig_size1_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460533Z   test_contig_size1_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460674Z   test_contig_size1_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460821Z   test_contig_size1_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9460962Z   test_contig_size1_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461107Z   test_contig_size1_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461248Z   test_contig_size1_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461382Z   test_contig_size1_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461538Z   test_contig_size1_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461680Z   test_contig_size1_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461840Z   test_contig_size1_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9461971Z   test_contig_size1_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462106Z   test_contig_size1_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462246Z   test_contig_size1_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462381Z   test_contig_size1_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462512Z   test_contig_size1_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462646Z   test_contig_size1_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462776Z   test_contig_size1_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9462912Z   test_contig_size1_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463044Z   test_contig_size1_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463179Z   test_contig_size1_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463311Z   test_contig_size1_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463454Z   test_contig_size1_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463590Z   test_contig_size1_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463730Z   test_contig_size1_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9463866Z   test_contig_size1_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464014Z   test_contig_size1_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464155Z   test_contig_size1_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464291Z   test_contig_size1_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464432Z   test_contig_size1_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464567Z   test_contig_size1_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464699Z   test_contig_size1_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464827Z   test_contig_size1_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9464956Z   test_contig_size1_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465094Z   test_contig_size1_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465233Z   test_contig_size1_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465366Z   test_contig_size1_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465514Z   test_contig_size1_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465655Z   test_contig_size1_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465791Z   test_contig_size1_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9465931Z   test_contig_size1_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466058Z   test_contig_size1_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466195Z   test_contig_size1_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466336Z   test_contig_size1_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466506Z   test_contig_size1_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466646Z   test_contig_size1_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466811Z   test_contig_size1_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9466951Z   test_contig_size1_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467094Z   test_contig_size1_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467233Z   test_contig_size1_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467366Z   test_contig_size1_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467511Z   test_contig_size1_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467655Z   test_contig_size1_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467799Z   test_contig_size1_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9467938Z   test_contig_size1_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468076Z   test_contig_size1_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468216Z   test_contig_size1_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468355Z   test_contig_size1_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468481Z   test_contig_size1_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468611Z   test_contig_size1_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468746Z   test_contig_size1_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9468884Z   test_contig_size1_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469021Z   test_contig_size1_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469170Z   test_contig_size1_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469319Z   test_contig_size1_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469461Z   test_contig_size1_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469589Z   test_contig_size1_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469727Z   test_contig_size1_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469860Z   test_contig_size1_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9469997Z   test_contig_size1_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470134Z   test_contig_size1_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470270Z   test_contig_size1_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470412Z   test_contig_size1_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470550Z   test_contig_size1_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470694Z   test_contig_size1_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470845Z   test_contig_size1_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9470997Z   test_contig_size1_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9471151Z   test_contig_size1_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9471301Z   test_contig_size1_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9471446Z   test_contig_size1_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9471625Z   test_contig_size1_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9471777Z   test_contig_size1_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9471954Z   test_contig_size1_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472093Z   test_contig_size1_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472242Z   test_contig_size1_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472390Z   test_contig_size1_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472539Z   test_contig_size1_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472683Z   test_contig_size1_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472821Z   test_contig_size1_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9472969Z   test_contig_size1_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9473112Z   test_contig_size1_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9473330Z   test_contig_size1_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9473474Z   test_contig_size1_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9473613Z   test_contig_size1_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9473752Z   test_contig_size1_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9473891Z   test_contig_size1_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474028Z   test_contig_size1_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474163Z   test_contig_size1_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474307Z   test_contig_size1_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474434Z   test_contig_size1_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474578Z   test_contig_size1_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474715Z   test_contig_size1_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474855Z   test_contig_size1_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9474993Z   test_contig_size1_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475133Z   test_contig_size1_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475273Z   test_contig_size1_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475411Z   test_contig_size1_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475540Z   test_contig_size1_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475680Z   test_contig_size1_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475832Z   test_contig_size1_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9475978Z   test_contig_size1_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476125Z   test_contig_size1_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476266Z   test_contig_size1_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476409Z   test_contig_size1_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476552Z   test_contig_size1_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476691Z   test_contig_size1_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476822Z   test_contig_size1_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9476999Z   test_contig_size1_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9477186Z   test_contig_size1_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9477334Z   test_contig_size1_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9477479Z   test_contig_size1_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9477623Z   test_contig_size1_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9477767Z   test_contig_size1_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9477901Z   test_contig_size1_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478026Z   test_contig_size1_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478159Z   test_contig_size1_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478297Z   test_contig_size1_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478434Z   test_contig_size1_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478573Z   test_contig_size1_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478712Z   test_contig_size1_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478854Z   test_contig_size1_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9478998Z   test_contig_size1_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479133Z   test_contig_size1_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479277Z   test_contig_size1_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479414Z   test_contig_size1_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479552Z   test_contig_size1_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479694Z   test_contig_size1_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479833Z   test_contig_size1_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9479973Z   test_contig_size1_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480111Z   test_contig_size1_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480246Z   test_contig_size1_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480374Z   test_contig_size1_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480505Z   test_contig_size1_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480642Z   test_contig_size1_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480786Z   test_contig_size1_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9480925Z   test_contig_size1_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481066Z   test_contig_size1_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481202Z   test_contig_size1_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481339Z   test_contig_size1_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481462Z   test_contig_size1_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481606Z   test_contig_size1_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481745Z   test_contig_size1_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9481887Z   test_contig_size1_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482054Z   test_contig_size1_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482195Z   test_contig_size1_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482362Z   test_contig_size1_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482498Z   test_contig_size1_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482624Z   test_contig_size1_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482759Z   test_contig_size1_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9482907Z   test_contig_size1_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9483049Z   test_contig_size1_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9483193Z   test_contig_size1_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9483336Z   test_contig_size1_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9483601Z   test_contig_size1_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9483742Z   test_contig_size1_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9483864Z   test_contig_size1_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484006Z   test_contig_size1_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484148Z   test_contig_size1_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484291Z   test_contig_size1_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484430Z   test_contig_size1_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484572Z   test_contig_size1_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484711Z   test_contig_size1_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484841Z   test_contig_size1_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9484970Z   test_contig_size1_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485106Z   test_contig_size1_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485238Z   test_contig_size1_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485375Z   test_contig_size1_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485514Z   test_contig_size1_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485655Z   test_contig_size1_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485796Z   test_contig_size1_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9485942Z   test_contig_size1_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486077Z   test_contig_size1_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486218Z   test_contig_size1_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486358Z   test_contig_size1_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486494Z   test_contig_size1_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486630Z   test_contig_size1_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486766Z   test_contig_size1_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9486904Z   test_contig_size1_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487037Z   test_contig_size1_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487173Z   test_contig_size1_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487354Z   test_contig_size1_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487489Z   test_contig_size1_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487660Z   test_contig_size1_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487794Z   test_contig_size1_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9487925Z   test_contig_size1_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488057Z   test_contig_size1_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488188Z   test_contig_size1_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488319Z   test_contig_size1_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488450Z   test_contig_size1_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488585Z   test_contig_size1_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488724Z   test_contig_size1_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9488869Z   test_contig_size1_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489008Z   test_contig_size1_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489150Z   test_contig_size1_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489290Z   test_contig_size1_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489427Z   test_contig_size1_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489554Z   test_contig_size1_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489692Z   test_contig_size1_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489826Z   test_contig_size1_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9489959Z   test_contig_size1_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490099Z   test_contig_size1_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490243Z   test_contig_size1_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490383Z   test_contig_size1_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490531Z   test_contig_size1_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490665Z   test_contig_size1_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490812Z   test_contig_size1_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9490954Z   test_contig_size1_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491095Z   test_contig_size1_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491231Z   test_contig_size1_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491375Z   test_contig_size1_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491514Z   test_contig_size1_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491654Z   test_contig_size1_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491782Z   test_contig_size1_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9491919Z   test_contig_size1_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492060Z   test_contig_size1_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492195Z   test_contig_size1_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492332Z   test_contig_size1_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492498Z   test_contig_size1_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492663Z   test_contig_size1_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492801Z   test_contig_size1_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9492940Z   test_contig_size1_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493066Z   test_contig_size1_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493210Z   test_contig_size1_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493353Z   test_contig_size1_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493489Z   test_contig_size1_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493624Z   test_contig_size1_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493770Z   test_contig_size1_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9493909Z   test_contig_size1_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494046Z   test_contig_size1_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494174Z   test_contig_size1_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494312Z   test_contig_size1_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494451Z   test_contig_size1_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494596Z   test_contig_size1_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494737Z   test_contig_size1_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9494877Z   test_contig_size1_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495022Z   test_contig_size1_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495160Z   test_contig_size1_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495289Z   test_contig_size1_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495429Z   test_contig_size1_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495565Z   test_contig_size1_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495703Z   test_contig_size1_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495840Z   test_contig_size1_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9495980Z   test_contig_size1_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496113Z   test_contig_size1_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496243Z   test_contig_size1_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496367Z   test_contig_size1_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496503Z   test_contig_size1_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496639Z   test_contig_size1_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496773Z   test_contig_size1_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9496908Z   test_contig_size1_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497042Z   test_contig_size1_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497190Z   test_contig_size1_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497337Z   test_contig_size1_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497503Z   test_contig_size1_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497644Z   test_contig_size1_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497806Z   test_contig_size1_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9497950Z   test_contig_size1_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498092Z   test_contig_size1_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498232Z   test_contig_size1_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498372Z   test_contig_size1_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498511Z   test_contig_size1_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498650Z   test_contig_size1_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498774Z   test_contig_size1_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9498910Z   test_contig_size1_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499046Z   test_contig_size1_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499181Z   test_contig_size1_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499330Z   test_contig_size1_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499470Z   test_contig_size1_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499619Z   test_contig_size1_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499765Z   test_contig_size1_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9499899Z   test_contig_size1_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500043Z   test_contig_size1_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500192Z   test_contig_size1_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500339Z   test_contig_size1_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500482Z   test_contig_size1_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500626Z   test_contig_size1_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500767Z   test_contig_size1_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9500911Z   test_contig_size1_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501039Z   test_contig_size1_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501177Z   test_contig_size1_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501316Z   test_contig_size1_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501466Z   test_contig_size1_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501614Z   test_contig_size1_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501758Z   test_contig_size1_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9501901Z   test_contig_size1_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502034Z   test_contig_size1_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502159Z   test_contig_size1_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502299Z   test_contig_size1_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502440Z   test_contig_size1_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502579Z   test_contig_size1_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502745Z   test_contig_size1_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9502913Z   test_contig_size1_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503061Z   test_contig_size1_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503201Z   test_contig_size1_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503350Z   test_contig_size1_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503483Z   test_contig_size1_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503625Z   test_contig_size1_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503758Z   test_contig_size1_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9503892Z   test_contig_size1_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504030Z   test_contig_size1_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504165Z   test_contig_size1_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504301Z   test_contig_size1_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504440Z   test_contig_size1_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504565Z   test_contig_size1_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504713Z   test_contig_size1_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9504856Z   test_contig_size1_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505002Z   test_contig_size1_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505148Z   test_contig_size1_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505297Z   test_contig_size1_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505445Z   test_contig_size1_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505577Z   test_contig_size1_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505702Z   test_contig_size1_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505839Z   test_contig_size1_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9505971Z   test_contig_size1_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506117Z   test_contig_size1_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506254Z   test_contig_size1_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506392Z   test_contig_size1_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506537Z   test_contig_size1_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506679Z   test_contig_size1_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506811Z   test_contig_size1_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9506950Z   test_contig_size1_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507084Z   test_contig_size1_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507220Z   test_contig_size1_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507355Z   test_contig_size1_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507497Z   test_contig_size1_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507636Z   test_contig_size1_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507807Z   test_contig_size1_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9507976Z   test_contig_size1_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508112Z   test_contig_size1_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508249Z   test_contig_size1_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508391Z   test_contig_size1_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508528Z   test_contig_size1_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508664Z   test_contig_size1_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508800Z   test_contig_size1_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9508930Z   test_contig_size1_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9509064Z   test_contig_size1_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9509194Z   test_contig_size1_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9509374Z   test_contig_size1_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9509544Z   test_contig_size1_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9509720Z   test_contig_size1_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9509894Z   test_contig_size1_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9510070Z   test_contig_size1_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9510240Z   test_contig_size1_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9510403Z   test_contig_size1_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9510574Z   test_contig_size1_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9510733Z   test_contig_size1_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9510899Z   test_contig_size1_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9511069Z   test_contig_size1_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9511238Z   test_contig_size1_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9511389Z   test_contig_size1_large_dim_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9511545Z   test_contig_size1_large_dim_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9511695Z   test_contig_size1_large_dim_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9511849Z   test_contig_size1_large_dim_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9511996Z   test_contig_size1_large_dim_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9512135Z   test_contig_size1_large_dim_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9512279Z   test_contig_size1_large_dim_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9512424Z   test_contig_size1_large_dim_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9512566Z   test_contig_size1_large_dim_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9512741Z   test_contig_size1_large_dim_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9512889Z   test_contig_size1_large_dim_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9513090Z   test_contig_size1_large_dim_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9513326Z   test_contig_size1_large_dim_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9513474Z   test_contig_size1_large_dim_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9513620Z   test_contig_size1_large_dim_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9513769Z   test_contig_size1_large_dim_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9513921Z   test_contig_size1_large_dim_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9514074Z   test_contig_size1_large_dim_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9514226Z   test_contig_size1_large_dim_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9514378Z   test_contig_size1_large_dim_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9514521Z   test_contig_size1_large_dim_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9514665Z   test_contig_size1_large_dim_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9514799Z   test_contig_size1_large_dim_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9514957Z   test_contig_size1_large_dim_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9515105Z   test_contig_size1_large_dim_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9515264Z   test_contig_size1_large_dim_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9515418Z   test_contig_size1_large_dim_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:11.9515573Z   test_contig_size1_large_dim_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9515727Z   test_contig_size1_large_dim_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9515880Z   test_contig_size1_large_dim_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9516024Z   test_contig_size1_large_dim_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9516163Z   test_contig_size1_large_dim_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9516309Z   test_contig_size1_large_dim_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9516456Z   test_contig_size1_large_dim_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9516613Z   test_contig_size1_large_dim_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9516757Z   test_contig_size1_large_dim_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9516917Z   test_contig_size1_large_dim_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9517077Z   test_contig_size1_large_dim_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9517230Z   test_contig_size1_large_dim_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9517370Z   test_contig_size1_large_dim_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9517524Z   test_contig_size1_large_dim_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9517672Z   test_contig_size1_large_dim_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9517817Z   test_contig_size1_large_dim_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9518006Z   test_contig_size1_large_dim_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9518181Z   test_contig_size1_large_dim_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9518333Z   test_contig_size1_large_dim_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9518483Z   test_contig_size1_large_dim_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9518627Z   test_contig_size1_large_dim_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9518772Z   test_contig_size1_large_dim_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9518925Z   test_contig_size1_large_dim_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9519070Z   test_contig_size1_large_dim_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9519223Z   test_contig_size1_large_dim_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9519371Z   test_contig_size1_large_dim_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9519522Z   test_contig_size1_large_dim_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9519667Z   test_contig_size1_large_dim_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9519818Z   test_contig_size1_large_dim_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9519951Z   test_contig_size1_large_dim_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9520101Z   test_contig_size1_large_dim_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9520248Z   test_contig_size1_large_dim_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9520409Z   test_contig_size1_large_dim_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9520566Z   test_contig_size1_large_dim_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:11.9520715Z   test_contig_size1_large_dim_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9520864Z   test_contig_size1_large_dim_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521013Z   test_contig_size1_large_dim_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521165Z   test_contig_size1_large_dim_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521302Z   test_contig_size1_large_dim_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521445Z   test_contig_size1_large_dim_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521591Z   test_contig_size1_large_dim_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521747Z   test_contig_size1_large_dim_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9521898Z   test_contig_size1_large_dim_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9522057Z   test_contig_size1_large_dim_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9522209Z   test_contig_size1_large_dim_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9522359Z   test_contig_size1_large_dim_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9522514Z   test_contig_size1_large_dim_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9522650Z   test_contig_size1_large_dim_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9522798Z   test_contig_size1_large_dim_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9522969Z   test_contig_size1_large_dim_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9523115Z   test_contig_size1_large_dim_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9523304Z   test_contig_size1_large_dim_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9523623Z   test_contig_size1_large_dim_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9523776Z   test_contig_size1_large_dim_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9523930Z   test_contig_size1_large_dim_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9524076Z   test_contig_size1_large_dim_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9524229Z   test_contig_size1_large_dim_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9524382Z   test_contig_size1_large_dim_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9524536Z   test_contig_size1_large_dim_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9524689Z   test_contig_size1_large_dim_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9524832Z   test_contig_size1_large_dim_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9524978Z   test_contig_size1_large_dim_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9525124Z   test_contig_size1_large_dim_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9525286Z   test_contig_size1_large_dim_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9525429Z   test_contig_size1_large_dim_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9525587Z   test_contig_size1_large_dim_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9525749Z   test_contig_size1_large_dim_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9525900Z   test_contig_size1_large_dim_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9526053Z   test_contig_size1_large_dim_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9526206Z   test_contig_size1_large_dim_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9526362Z   test_contig_size1_large_dim_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9526512Z   test_contig_size1_large_dim_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9526652Z   test_contig_size1_large_dim_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9526803Z   test_contig_size1_large_dim_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9526954Z   test_contig_size1_large_dim_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9527105Z   test_contig_size1_large_dim_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9527265Z   test_contig_size1_large_dim_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9527421Z   test_contig_size1_large_dim_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9527578Z   test_contig_size1_large_dim_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9527730Z   test_contig_size1_large_dim_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9527887Z   test_contig_size1_large_dim_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9528034Z   test_contig_size1_large_dim_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9528244Z   test_contig_size1_large_dim_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9528398Z   test_contig_size1_large_dim_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9528588Z   test_contig_size1_large_dim_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9528738Z   test_contig_size1_large_dim_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9528891Z   test_contig_size1_large_dim_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9529039Z   test_contig_size1_large_dim_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9529190Z   test_contig_size1_large_dim_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9529341Z   test_contig_size1_large_dim_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9529478Z   test_contig_size1_large_dim_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9529624Z   test_contig_size1_large_dim_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9529768Z   test_contig_size1_large_dim_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9529919Z   test_contig_size1_large_dim_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9530064Z   test_contig_size1_large_dim_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9530212Z   test_contig_size1_large_dim_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9530357Z   test_contig_size1_large_dim_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9530515Z   test_contig_size1_large_dim_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9530656Z   test_contig_size1_large_dim_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9530809Z   test_contig_size1_large_dim_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9530955Z   test_contig_size1_large_dim_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531103Z   test_contig_size1_large_dim_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531249Z   test_contig_size1_large_dim_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531398Z   test_contig_size1_large_dim_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531546Z   test_contig_size1_large_dim_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531692Z   test_contig_size1_large_dim_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531839Z   test_contig_size1_large_dim_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9531984Z   test_contig_size1_large_dim_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9532141Z   test_contig_size1_large_dim_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9532304Z   test_contig_size1_large_dim_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9532460Z   test_contig_size1_large_dim_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9532618Z   test_contig_size1_large_dim_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9532770Z   test_contig_size1_large_dim_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9532919Z   test_contig_size1_large_dim_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9533075Z   test_contig_size1_large_dim_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9533214Z   test_contig_size1_large_dim_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9533391Z   test_contig_size1_large_dim_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9533603Z   test_contig_size1_large_dim_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9533752Z   test_contig_size1_large_dim_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9533904Z   test_contig_size1_large_dim_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9534051Z   test_contig_size1_large_dim_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9534201Z   test_contig_size1_large_dim_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9534350Z   test_contig_size1_large_dim_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9534494Z   test_contig_size1_large_dim_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9534633Z   test_contig_size1_large_dim_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9534773Z   test_contig_size1_large_dim_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9534925Z   test_contig_size1_large_dim_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9535074Z   test_contig_size1_large_dim_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9535226Z   test_contig_size1_large_dim_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9535373Z   test_contig_size1_large_dim_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9535534Z   test_contig_size1_large_dim_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9535688Z   test_contig_size1_large_dim_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9535845Z   test_contig_size1_large_dim_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9535988Z   test_contig_size1_large_dim_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9536140Z   test_contig_size1_large_dim_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9536292Z   test_contig_size1_large_dim_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9536439Z   test_contig_size1_large_dim_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9536588Z   test_contig_size1_large_dim_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9536733Z   test_contig_size1_large_dim_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9536883Z   test_contig_size1_large_dim_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9537026Z   test_contig_size1_large_dim_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9537172Z   test_contig_size1_large_dim_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9537323Z   test_contig_size1_large_dim_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9537477Z   test_contig_size1_large_dim_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9537632Z   test_contig_size1_large_dim_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9537785Z   test_contig_size1_large_dim_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9537937Z   test_contig_size1_large_dim_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9538085Z   test_contig_size1_large_dim_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9538235Z   test_contig_size1_large_dim_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9538409Z   test_contig_size1_large_dim_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9538549Z   test_contig_size1_large_dim_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9538718Z   test_contig_size1_large_dim_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9538866Z   test_contig_size1_large_dim_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9539015Z   test_contig_size1_large_dim_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9539163Z   test_contig_size1_large_dim_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9539312Z   test_contig_size1_large_dim_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9539464Z   test_contig_size1_large_dim_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9539618Z   test_contig_size1_large_dim_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9539762Z   test_contig_size1_large_dim_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9539912Z   test_contig_size1_large_dim_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9540061Z   test_contig_size1_large_dim_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9540203Z   test_contig_size1_large_dim_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9540351Z   test_contig_size1_large_dim_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9540495Z   test_contig_size1_large_dim_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9540641Z   test_contig_size1_large_dim_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9540788Z   test_contig_size1_large_dim_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9540935Z   test_contig_size1_large_dim_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9541075Z   test_contig_size1_large_dim_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9541218Z   test_contig_size1_large_dim_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9541372Z   test_contig_size1_large_dim_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9541526Z   test_contig_size1_large_dim_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9541681Z   test_contig_size1_large_dim_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9541826Z   test_contig_size1_large_dim_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9541977Z   test_contig_size1_large_dim_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9542127Z   test_contig_size1_large_dim_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9542263Z   test_contig_size1_large_dim_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9542412Z   test_contig_size1_large_dim_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9542557Z   test_contig_size1_large_dim_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9542705Z   test_contig_size1_large_dim_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9542851Z   test_contig_size1_large_dim_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9543015Z   test_contig_size1_large_dim_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9543174Z   test_contig_size1_large_dim_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9543340Z   test_contig_size1_large_dim_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9543533Z   test_contig_size1_large_dim_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9543713Z   test_contig_size1_large_dim_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9543878Z   test_contig_size1_large_dim_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9544035Z   test_contig_size1_large_dim_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9544187Z   test_contig_size1_large_dim_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9544345Z   test_contig_size1_large_dim_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9544497Z   test_contig_size1_large_dim_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9544648Z   test_contig_size1_large_dim_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9544806Z   test_contig_size1_large_dim_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9544959Z   test_contig_size1_large_dim_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9545101Z   test_contig_size1_large_dim_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9545245Z   test_contig_size1_large_dim_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9545398Z   test_contig_size1_large_dim_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9545547Z   test_contig_size1_large_dim_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9545696Z   test_contig_size1_large_dim_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9545841Z   test_contig_size1_large_dim_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9545990Z   test_contig_size1_large_dim_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9546136Z   test_contig_size1_large_dim_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9546280Z   test_contig_size1_large_dim_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9546417Z   test_contig_size1_large_dim_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9546561Z   test_contig_size1_large_dim_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9546713Z   test_contig_size1_large_dim_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9546855Z   test_contig_size1_large_dim_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9547011Z   test_contig_size1_large_dim_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9547166Z   test_contig_size1_large_dim_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9547317Z   test_contig_size1_large_dim_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9547465Z   test_contig_size1_large_dim_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9547602Z   test_contig_size1_large_dim_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9547748Z   test_contig_size1_large_dim_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9547889Z   test_contig_size1_large_dim_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9548036Z   test_contig_size1_large_dim_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9548178Z   test_contig_size1_large_dim_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9548338Z   test_contig_size1_large_dim_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9548519Z   test_contig_size1_large_dim_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9548718Z   test_contig_size1_large_dim_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9548871Z   test_contig_size1_large_dim_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9549013Z   test_contig_size1_large_dim_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9549166Z   test_contig_size1_large_dim_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9549314Z   test_contig_size1_large_dim_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9549464Z   test_contig_size1_large_dim_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9549611Z   test_contig_size1_large_dim_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9549764Z   test_contig_size1_large_dim_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9549920Z   test_contig_size1_large_dim_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9550074Z   test_contig_size1_large_dim_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9550218Z   test_contig_size1_large_dim_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9550373Z   test_contig_size1_large_dim_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9550521Z   test_contig_size1_large_dim_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9550669Z   test_contig_size1_large_dim_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9550815Z   test_contig_size1_large_dim_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9550962Z   test_contig_size1_large_dim_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9551115Z   test_contig_size1_large_dim_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9551268Z   test_contig_size1_large_dim_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9551421Z   test_contig_size1_large_dim_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9551567Z   test_contig_size1_large_dim_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9551722Z   test_contig_size1_large_dim_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9551879Z   test_contig_size1_large_dim_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9552030Z   test_contig_size1_large_dim_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9552183Z   test_contig_size1_large_dim_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9552334Z   test_contig_size1_large_dim_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9552487Z   test_contig_size1_large_dim_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9552635Z   test_contig_size1_large_dim_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9552771Z   test_contig_size1_large_dim_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9552921Z   test_contig_size1_large_dim_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9553065Z   test_contig_size1_large_dim_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9553211Z   test_contig_size1_large_dim_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9553424Z   test_contig_size1_large_dim_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9553610Z   test_contig_size1_large_dim_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9553784Z   test_contig_size1_large_dim_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9553933Z   test_contig_size1_large_dim_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554078Z   test_contig_size1_large_dim_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554209Z   test_contig_size1_large_dim_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554355Z   test_contig_size1_large_dim_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554497Z   test_contig_size1_large_dim_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554650Z   test_contig_size1_large_dim_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554797Z   test_contig_size1_large_dim_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9554946Z   test_contig_size1_large_dim_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9555095Z   test_contig_size1_large_dim_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9555242Z   test_contig_size1_large_dim_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9555379Z   test_contig_size1_large_dim_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9555520Z   test_contig_size1_large_dim_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9555665Z   test_contig_size1_large_dim_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9555808Z   test_contig_size1_large_dim_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9555964Z   test_contig_size1_large_dim_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9556113Z   test_contig_size1_large_dim_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9556261Z   test_contig_size1_large_dim_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9556414Z   test_contig_size1_large_dim_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9556568Z   test_contig_size1_large_dim_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9556706Z   test_contig_size1_large_dim_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9556850Z   test_contig_size1_large_dim_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9556999Z   test_contig_size1_large_dim_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9557146Z   test_contig_size1_large_dim_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9557299Z   test_contig_size1_large_dim_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9557442Z   test_contig_size1_large_dim_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9557593Z   test_contig_size1_large_dim_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9557739Z   test_contig_size1_large_dim_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9557886Z   test_contig_size1_large_dim_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558022Z   test_contig_size1_large_dim_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558169Z   test_contig_size1_large_dim_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558313Z   test_contig_size1_large_dim_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558454Z   test_contig_size1_large_dim_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558630Z   test_contig_size1_large_dim_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558803Z   test_contig_size1_large_dim_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9558956Z   test_contig_size1_large_dim_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9559114Z   test_contig_size1_large_dim_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9559257Z   test_contig_size1_large_dim_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9559405Z   test_contig_size1_large_dim_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9559554Z   test_contig_size1_large_dim_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9559698Z   test_contig_size1_large_dim_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9559847Z   test_contig_size1_large_dim_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9559988Z   test_contig_size1_large_dim_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9560136Z   test_contig_size1_large_dim_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9560280Z   test_contig_size1_large_dim_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9560429Z   test_contig_size1_large_dim_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9560565Z   test_contig_size1_large_dim_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9560716Z   test_contig_size1_large_dim_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9560866Z   test_contig_size1_large_dim_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9561013Z   test_contig_size1_large_dim_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9561167Z   test_contig_size1_large_dim_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9561313Z   test_contig_size1_large_dim_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9561461Z   test_contig_size1_large_dim_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9561607Z   test_contig_size1_large_dim_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9561744Z   test_contig_size1_large_dim_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9561888Z   test_contig_size1_large_dim_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9562040Z   test_contig_size1_large_dim_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9562195Z   test_contig_size1_large_dim_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9562352Z   test_contig_size1_large_dim_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9562502Z   test_contig_size1_large_dim_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9562650Z   test_contig_size1_large_dim_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9562791Z   test_contig_size1_large_dim_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9562936Z   test_contig_size1_large_dim_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9563072Z   test_contig_size1_large_dim_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9563215Z   test_contig_size1_large_dim_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9563471Z   test_contig_size1_large_dim_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9563616Z   test_contig_size1_large_dim_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9563820Z   test_contig_size1_large_dim_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9563996Z   test_contig_size1_large_dim_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9564156Z   test_contig_size1_large_dim_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9564311Z   test_contig_size1_large_dim_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9564456Z   test_contig_size1_large_dim_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9564608Z   test_contig_size1_large_dim_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9564756Z   test_contig_size1_large_dim_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9564900Z   test_contig_size1_large_dim_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565049Z   test_contig_size1_large_dim_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565199Z   test_contig_size1_large_dim_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565345Z   test_contig_size1_large_dim_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565490Z   test_contig_size1_large_dim_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565640Z   test_contig_size1_large_dim_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565782Z   test_contig_size1_large_dim_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9565930Z   test_contig_size1_large_dim_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9566078Z   test_contig_size1_large_dim_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9566223Z   test_contig_size1_large_dim_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9566372Z   test_contig_size1_large_dim_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9566516Z   test_contig_size1_large_dim_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9566664Z   test_contig_size1_large_dim_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9566808Z   test_contig_size1_large_dim_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9566948Z   test_contig_size1_large_dim_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9567098Z   test_contig_size1_large_dim_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9567249Z   test_contig_size1_large_dim_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9567391Z   test_contig_size1_large_dim_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9567547Z   test_contig_size1_large_dim_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9567696Z   test_contig_size1_large_dim_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9567846Z   test_contig_size1_large_dim_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9567993Z   test_contig_size1_large_dim_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9568136Z   test_contig_size1_large_dim_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9568274Z   test_contig_size1_large_dim_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9568429Z   test_contig_size1_large_dim_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9568581Z   test_contig_size1_large_dim_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9568766Z   test_contig_size1_large_dim_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9568912Z   test_contig_size1_large_dim_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9569085Z   test_contig_size1_large_dim_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9569235Z   test_contig_size1_large_dim_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9569384Z   test_contig_size1_large_dim_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9569533Z   test_contig_size1_large_dim_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9569669Z   test_contig_size1_large_dim_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9569820Z   test_contig_size1_large_dim_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9569971Z   test_contig_size1_large_dim_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9570121Z   test_contig_size1_large_dim_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9570271Z   test_contig_size1_large_dim_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9570418Z   test_contig_size1_large_dim_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9570567Z   test_contig_size1_large_dim_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9570710Z   test_contig_size1_large_dim_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9570892Z   test_contig_size1_large_dim_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9571041Z   test_contig_size1_large_dim_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9571186Z   test_contig_size1_large_dim_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9571347Z   test_contig_size1_large_dim_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9571504Z   test_contig_size1_large_dim_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9571665Z   test_contig_size1_large_dim_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9571816Z   test_contig_size1_large_dim_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9571966Z   test_contig_size1_large_dim_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9572123Z   test_contig_size1_large_dim_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9572311Z   test_contig_size1_large_dim_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9572463Z   test_contig_size1_large_dim_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9572613Z   test_contig_size1_large_dim_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9572761Z   test_contig_size1_large_dim_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9572912Z   test_contig_size1_large_dim_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9573061Z   test_contig_size1_large_dim_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9573208Z   test_contig_size1_large_dim_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9573357Z   test_contig_size1_large_dim_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9573492Z   test_contig_size1_large_dim_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9573653Z   test_contig_size1_large_dim_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9573809Z   test_contig_size1_large_dim_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9574005Z   test_contig_size1_large_dim_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9574195Z   test_contig_size1_large_dim_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9574353Z   test_contig_size1_large_dim_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9574511Z   test_contig_size1_large_dim_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9574670Z   test_contig_size1_large_dim_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9574829Z   test_contig_size1_large_dim_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9574973Z   test_contig_size1_large_dim_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9575129Z   test_contig_size1_large_dim_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9575285Z   test_contig_size1_large_dim_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9575440Z   test_contig_size1_large_dim_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9575595Z   test_contig_size1_large_dim_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9575750Z   test_contig_size1_large_dim_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9575903Z   test_contig_size1_large_dim_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9576060Z   test_contig_size1_large_dim_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9576205Z   test_contig_size1_large_dim_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9576364Z   test_contig_size1_large_dim_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9576520Z   test_contig_size1_large_dim_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9576672Z   test_contig_size1_large_dim_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9576823Z   test_contig_size1_large_dim_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9576973Z   test_contig_size1_large_dim_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9577123Z   test_contig_size1_large_dim_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9577271Z   test_contig_size1_large_dim_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9577423Z   test_contig_size1_large_dim_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9577555Z   test_contig_size1_large_dim_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9577711Z   test_contig_size1_large_dim_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9577864Z   test_contig_size1_large_dim_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9578024Z   test_contig_size1_large_dim_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9578181Z   test_contig_size1_large_dim_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9578336Z   test_contig_size1_large_dim_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9578488Z   test_contig_size1_large_dim_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9578639Z   test_contig_size1_large_dim_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9578790Z   test_contig_size1_large_dim_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9578927Z   test_contig_size1_large_dim_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9579108Z   test_contig_size1_large_dim_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9579258Z   test_contig_size1_large_dim_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9579430Z   test_contig_size1_large_dim_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9579591Z   test_contig_size1_large_dim_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9579749Z   test_contig_size1_large_dim_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9579908Z   test_contig_size1_large_dim_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9580068Z   test_contig_size1_large_dim_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9580212Z   test_contig_size1_large_dim_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9580369Z   test_contig_size1_large_dim_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9580525Z   test_contig_size1_large_dim_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9580679Z   test_contig_size1_large_dim_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9580833Z   test_contig_size1_large_dim_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9580987Z   test_contig_size1_large_dim_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9581147Z   test_contig_size1_large_dim_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9581299Z   test_contig_size1_large_dim_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9581456Z   test_contig_size1_large_dim_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9581599Z   test_contig_size1_large_dim_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9581762Z   test_contig_size1_large_dim_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9581916Z   test_contig_size1_large_dim_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582072Z   test_contig_size1_large_dim_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582226Z   test_contig_size1_large_dim_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582378Z   test_contig_size1_large_dim_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582529Z   test_contig_size1_large_dim_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582685Z   test_contig_size1_large_dim_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582838Z   test_contig_size1_large_dim_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9582987Z   test_contig_size1_large_dim_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9583145Z   test_contig_size1_large_dim_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9583302Z   test_contig_size1_large_dim_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9583453Z   test_contig_size1_large_dim_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9583608Z   test_contig_size1_large_dim_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9583762Z   test_contig_size1_large_dim_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9583913Z   test_contig_size1_large_dim_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9584066Z   test_contig_size1_large_dim_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9584236Z   test_contig_size1_large_dim_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9584389Z   test_contig_size1_large_dim_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9584584Z   test_contig_size1_large_dim_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9584778Z   test_contig_size1_large_dim_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9584964Z   test_contig_size1_large_dim_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9585154Z   test_contig_size1_large_dim_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9585346Z   test_contig_size1_large_dim_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9585532Z   test_contig_size1_large_dim_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9585724Z   test_contig_size1_large_dim_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9585908Z   test_contig_size1_large_dim_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9586081Z   test_contig_size1_large_dim_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9586266Z   test_contig_size1_large_dim_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9586453Z   test_contig_size1_large_dim_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9586635Z   test_contig_size1_large_dim_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9586820Z   test_contig_size1_large_dim_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9586982Z   test_contig_size1_large_dim_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9587136Z   test_contig_size1_large_dim_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9587293Z   test_contig_size1_large_dim_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9587448Z   test_contig_size1_large_dim_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9587588Z   test_contig_size1_large_dim_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9587743Z   test_contig_size1_large_dim_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9587895Z   test_contig_size1_large_dim_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9588049Z   test_contig_size1_large_dim_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9588199Z   test_contig_size1_large_dim_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9588355Z   test_contig_size1_large_dim_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9588509Z   test_contig_size1_large_dim_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9588670Z   test_contig_size1_large_dim_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9588814Z   test_contig_size1_large_dim_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9588967Z   test_contig_size1_large_dim_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9589120Z   test_contig_size1_large_dim_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9589270Z   test_contig_size1_large_dim_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9589451Z   test_contig_size1_large_dim_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9589627Z   test_contig_size1_large_dim_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9589779Z   test_contig_size1_large_dim_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9589924Z   test_contig_size1_large_dim_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9590083Z   test_contig_size1_large_dim_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9590220Z   test_contig_size1_large_dim_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9590382Z   test_contig_size1_large_dim_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9590539Z   test_contig_size1_large_dim_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9590696Z   test_contig_size1_large_dim_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9590852Z   test_contig_size1_large_dim_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591001Z   test_contig_size1_large_dim_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591152Z   test_contig_size1_large_dim_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591300Z   test_contig_size1_large_dim_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591452Z   test_contig_size1_large_dim_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591633Z   test_contig_size1_large_dim_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591787Z   test_contig_size1_large_dim_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9591939Z   test_contig_size1_large_dim_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9592099Z   test_contig_size1_large_dim_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9592254Z   test_contig_size1_large_dim_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9592405Z   test_contig_size1_large_dim_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9592555Z   test_contig_size1_large_dim_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9592704Z   test_contig_size1_large_dim_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9592839Z   test_contig_size1_large_dim_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9592984Z   test_contig_size1_large_dim_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9593133Z   test_contig_size1_large_dim_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9593354Z   test_contig_size1_large_dim_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9593512Z   test_contig_size1_large_dim_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9593662Z   test_contig_size1_large_dim_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9593820Z   test_contig_size1_large_dim_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9593975Z   test_contig_size1_large_dim_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9594127Z   test_contig_size1_large_dim_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9594265Z   test_contig_size1_large_dim_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9594413Z   test_contig_size1_large_dim_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9594601Z   test_contig_size1_large_dim_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9594745Z   test_contig_size1_large_dim_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9594922Z   test_contig_size1_large_dim_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9595071Z   test_contig_size1_large_dim_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9595239Z   test_contig_size1_large_dim_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9595400Z   test_contig_size1_large_dim_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9595552Z   test_contig_size1_large_dim_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9595720Z   test_contig_size1_large_dim_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9595881Z   test_contig_size1_large_dim_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9596041Z   test_contig_size1_large_dim_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9596196Z   test_contig_size1_large_dim_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9596354Z   test_contig_size1_large_dim_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9596513Z   test_contig_size1_large_dim_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9596670Z   test_contig_size1_large_dim_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9596830Z   test_contig_size1_large_dim_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9596973Z   test_contig_size1_large_dim_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9597129Z   test_contig_size1_large_dim_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9597285Z   test_contig_size1_large_dim_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9597441Z   test_contig_size1_large_dim_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9597596Z   test_contig_size1_large_dim_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9597748Z   test_contig_size1_large_dim_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9597899Z   test_contig_size1_large_dim_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9598050Z   test_contig_size1_large_dim_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9598201Z   test_contig_size1_large_dim_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9598337Z   test_contig_size1_large_dim_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9598495Z   test_contig_size1_large_dim_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9598649Z   test_contig_size1_large_dim_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9598808Z   test_contig_size1_large_dim_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9598966Z   test_contig_size1_large_dim_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9599122Z   test_contig_size1_large_dim_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9599276Z   test_contig_size1_large_dim_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9599430Z   test_contig_size1_large_dim_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9599569Z   test_contig_size1_large_dim_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9599763Z   test_contig_size1_large_dim_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9599912Z   test_contig_size1_large_dim_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9600086Z   test_contig_size1_large_dim_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9600239Z   test_contig_size1_large_dim_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9600387Z   test_contig_size1_large_dim_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9600566Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9600745Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9600918Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9601080Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9601252Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9601421Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9601590Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9601756Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9601931Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9602105Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9602282Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9602449Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9602607Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9602777Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9602948Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9603116Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9603290Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9603561Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9603737Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9603904Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9604072Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9604221Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9604389Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9604557Z   test_contig_size1_large_dim_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9604718Z   test_contig_size1_large_dim_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9604876Z   test_contig_size1_large_dim_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9605083Z   test_contig_size1_large_dim_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9605272Z   test_contig_size1_large_dim_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9605434Z   test_contig_size1_large_dim_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9605590Z   test_contig_size1_large_dim_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9605733Z   test_contig_size1_large_dim_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9605891Z   test_contig_size1_large_dim_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9606046Z   test_contig_size1_large_dim_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9606201Z   test_contig_size1_large_dim_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9606359Z   test_contig_size1_large_dim_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9606518Z   test_contig_size1_large_dim_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9606678Z   test_contig_size1_large_dim_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9606837Z   test_contig_size1_large_dim_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9606989Z   test_contig_size1_large_dim_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9607127Z   test_contig_size1_large_dim_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9607276Z   test_contig_size1_large_dim_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9607429Z   test_contig_size1_large_dim_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9607581Z   test_contig_size1_large_dim_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9607730Z   test_contig_size1_large_dim_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9607882Z   test_contig_size1_large_dim_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9608033Z   test_contig_size1_large_dim_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9608206Z   test_contig_size1_large_dim_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9608365Z   test_contig_size1_large_dim_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9608535Z   test_contig_size1_large_dim_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9608705Z   test_contig_size1_large_dim_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9608875Z   test_contig_size1_large_dim_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9609045Z   test_contig_size1_large_dim_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9609229Z   test_contig_size1_large_dim_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9609407Z   test_contig_size1_large_dim_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9609587Z   test_contig_size1_large_dim_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9609768Z   test_contig_size1_large_dim_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9609945Z   test_contig_size1_large_dim_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9610111Z   test_contig_size1_large_dim_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9610322Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9610527Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9610705Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9610880Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9611053Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9611224Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9611396Z   test_contig_size1_large_dim_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9611578Z   test_contig_size1_large_dim_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9611744Z   test_contig_size1_large_dim_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9611921Z   test_contig_size1_large_dim_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9612096Z   test_contig_size1_large_dim_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9612267Z   test_contig_size1_large_dim_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9612437Z   test_contig_size1_large_dim_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9612611Z   test_contig_size1_large_dim_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9612785Z   test_contig_size1_large_dim_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9612959Z   test_contig_size1_large_dim_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9613132Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9613286Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9613454Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9613622Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9613788Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9613954Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9614123Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9614292Z   test_contig_size1_large_dim_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9614462Z   test_contig_size1_large_dim_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9614631Z   test_contig_size1_large_dim_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9614786Z   test_contig_size1_large_dim_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9614954Z   test_contig_size1_large_dim_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9615117Z   test_contig_size1_large_dim_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9615356Z   test_contig_size1_large_dim_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9615522Z   test_contig_size1_large_dim_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9615717Z   test_contig_size1_large_dim_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9615892Z   test_contig_size1_large_dim_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9616063Z   test_contig_size1_large_dim_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9616233Z   test_contig_size1_large_dim_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9616385Z   test_contig_size1_large_dim_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9616555Z   test_contig_size1_large_dim_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9616725Z   test_contig_size1_large_dim_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9616910Z   test_contig_size1_large_dim_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9617097Z   test_contig_size1_large_dim_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9617267Z   test_contig_size1_large_dim_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9617432Z   test_contig_size1_large_dim_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9617601Z   test_contig_size1_large_dim_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9617779Z   test_contig_size1_large_dim_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9617942Z   test_contig_size1_large_dim_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9618116Z   test_contig_size1_large_dim_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9618298Z   test_contig_size1_large_dim_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9618473Z   test_contig_size1_large_dim_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9618648Z   test_contig_size1_large_dim_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9618823Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9619001Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9619177Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9619354Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9619531Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9619690Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9619864Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9620035Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9620204Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9620376Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9620578Z   test_contig_size1_large_dim_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9620795Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9620976Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9621157Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9621319Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9621495Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9621667Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9621840Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9622014Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9622187Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9622358Z   test_contig_size1_large_dim_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9622534Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9622707Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9622869Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9623046Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9623217Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9623405Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9623577Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9623743Z   test_contig_size1_large_dim_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9623918Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9624079Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9624252Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9624429Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9624599Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9624769Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9624942Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9625112Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9625282Z   test_contig_size1_large_dim_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9625458Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9625651Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9625847Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9626023Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9626194Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9626363Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9626533Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9626702Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9626873Z   test_contig_size1_large_dim_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9627046Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9627207Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9627380Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9627552Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9627720Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9627889Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9628058Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9628233Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9628404Z   test_contig_size1_large_dim_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9628581Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9628739Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9628911Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9629085Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9629250Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9629420Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9629589Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9629759Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9629926Z   test_contig_size1_large_dim_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9630099Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9630268Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9630426Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:11.9630626Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:11.9630790Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9630983Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9631153Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9631321Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:11.9631491Z   test_contig_size1_large_dim_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:11.9631650Z   test_contig_size1_large_dim_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9631814Z   test_contig_size1_large_dim_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9631966Z   test_contig_size1_large_dim_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9632126Z   test_contig_size1_large_dim_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9632287Z   test_contig_size1_large_dim_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9632444Z   test_contig_size1_large_dim_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9632602Z   test_contig_size1_large_dim_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9632755Z   test_contig_size1_large_dim_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9632910Z   test_contig_size1_large_dim_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9633065Z   test_contig_size1_large_dim_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9633208Z   test_contig_size1_large_dim_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9633434Z   test_contig_size1_large_dim_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9633594Z   test_contig_size1_large_dim_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9633749Z   test_contig_size1_large_dim_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9633905Z   test_contig_size1_large_dim_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9634064Z   test_contig_size1_large_dim_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9634223Z   test_contig_size1_large_dim_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9634377Z   test_contig_size1_large_dim_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9634532Z   test_contig_size1_large_dim_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9634672Z   test_contig_size1_large_dim_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9634830Z   test_contig_size1_large_dim_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9634984Z   test_contig_size1_large_dim_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9635136Z   test_contig_size1_large_dim_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9635286Z   test_contig_size1_large_dim_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9635442Z   test_contig_size1_large_dim_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9635598Z   test_contig_size1_large_dim_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9635753Z   test_contig_size1_large_dim_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9635940Z   test_contig_size1_large_dim_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9636106Z   test_contig_size1_large_dim_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9636257Z   test_contig_size1_large_dim_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9636406Z   test_contig_size1_large_dim_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9636554Z   test_contig_size1_large_dim_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9636701Z   test_contig_size1_large_dim_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9636849Z   test_contig_size1_large_dim_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9636999Z   test_contig_size1_large_dim_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9637166Z   test_contig_size1_large_dim_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9637312Z   test_contig_size1_large_dim_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9637481Z   test_contig_size1_large_dim_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9637647Z   test_contig_size1_large_dim_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9637808Z   test_contig_size1_large_dim_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9637971Z   test_contig_size1_large_dim_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9638127Z   test_contig_size1_large_dim_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9638286Z   test_contig_size1_large_dim_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9638446Z   test_contig_size1_large_dim_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9638603Z   test_contig_size1_large_dim_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9638749Z   test_contig_size1_large_dim_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9638906Z   test_contig_size1_large_dim_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9639062Z   test_contig_size1_large_dim_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9639215Z   test_contig_size1_large_dim_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9639368Z   test_contig_size1_large_dim_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9639520Z   test_contig_size1_large_dim_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9639672Z   test_contig_size1_large_dim_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9639817Z   test_contig_size1_large_dim_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9639967Z   test_contig_size1_large_dim_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9640101Z   test_contig_size1_large_dim_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9640270Z   test_contig_size1_large_dim_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9640435Z   test_contig_size1_large_dim_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9640603Z   test_contig_size1_large_dim_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9640771Z   test_contig_size1_large_dim_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9640967Z   test_contig_size1_large_dim_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9641126Z   test_contig_size1_large_dim_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9641328Z   test_contig_size1_large_dim_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9641500Z   test_contig_size1_large_dim_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9641658Z   test_contig_size1_large_dim_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9641812Z   test_contig_size1_large_dim_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9641963Z   test_contig_size1_large_dim_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9642121Z   test_contig_size1_large_dim_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9642280Z   test_contig_size1_large_dim_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9642433Z   test_contig_size1_large_dim_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9642587Z   test_contig_size1_large_dim_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9642739Z   test_contig_size1_large_dim_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9642877Z   test_contig_size1_large_dim_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9643024Z   test_contig_size1_large_dim_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9643174Z   test_contig_size1_large_dim_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9643318Z   test_contig_size1_large_dim_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9643580Z   test_contig_size1_large_dim_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9643733Z   test_contig_size1_large_dim_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9643892Z   test_contig_size1_large_dim_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9644045Z   test_contig_size1_large_dim_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:11.9644197Z   test_contig_size1_large_dim_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9644335Z   test_contig_size1_large_dim_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9644484Z   test_contig_size1_large_dim_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9644631Z   test_contig_size1_large_dim_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9644780Z   test_contig_size1_large_dim_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9644931Z   test_contig_size1_large_dim_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9645074Z   test_contig_size1_large_dim_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9645225Z   test_contig_size1_large_dim_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9645373Z   test_contig_size1_large_dim_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9645515Z   test_contig_size1_large_dim_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9645666Z   test_contig_size1_large_dim_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9645824Z   test_contig_size1_large_dim_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9645979Z   test_contig_size1_large_dim_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9646180Z   test_contig_size1_large_dim_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9646332Z   test_contig_size1_large_dim_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9646514Z   test_contig_size1_large_dim_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9646666Z   test_contig_size1_large_dim_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9646815Z   test_contig_size1_large_dim_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9646949Z   test_contig_size1_large_dim_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9647100Z   test_contig_size1_large_dim_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9647246Z   test_contig_size1_large_dim_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9647407Z   test_contig_size1_large_dim_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9647563Z   test_contig_size1_large_dim_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9647726Z   test_contig_size1_large_dim_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9647887Z   test_contig_size1_large_dim_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9648045Z   test_contig_size1_large_dim_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9648201Z   test_contig_size1_large_dim_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9648342Z   test_contig_size1_large_dim_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9648495Z   test_contig_size1_large_dim_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9648646Z   test_contig_size1_large_dim_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9648801Z   test_contig_size1_large_dim_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9648954Z   test_contig_size1_large_dim_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9649107Z   test_contig_size1_large_dim_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9649256Z   test_contig_size1_large_dim_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9649407Z   test_contig_size1_large_dim_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9649545Z   test_contig_size1_large_dim_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9649696Z   test_contig_size1_large_dim_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9649846Z   test_contig_size1_large_dim_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9649995Z   test_contig_size1_large_dim_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9650141Z   test_contig_size1_large_dim_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9650291Z   test_contig_size1_large_dim_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9650437Z   test_contig_size1_large_dim_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9650595Z   test_contig_size1_large_dim_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9650748Z   test_contig_size1_large_dim_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9650893Z   test_contig_size1_large_dim_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9651047Z   test_contig_size1_large_dim_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9651201Z   test_contig_size1_large_dim_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9651384Z   test_contig_size1_large_dim_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9651564Z   test_contig_size1_large_dim_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9651713Z   test_contig_size1_large_dim_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9651863Z   test_contig_size1_large_dim_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9652015Z   test_contig_size1_large_dim_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9652154Z   test_contig_size1_large_dim_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9652302Z   test_contig_size1_large_dim_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9652456Z   test_contig_size1_large_dim_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9652609Z   test_contig_size1_large_dim_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9652759Z   test_contig_size1_large_dim_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9652911Z   test_contig_size1_large_dim_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653060Z   test_contig_size1_large_dim_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653203Z   test_contig_size1_large_dim_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653349Z   test_contig_size1_large_dim_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653484Z   test_contig_size1_large_dim_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653632Z   test_contig_size1_large_dim_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653784Z   test_contig_size1_large_dim_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9653934Z   test_contig_size1_large_dim_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9654096Z   test_contig_size1_large_dim_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9654251Z   test_contig_size1_large_dim_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9654404Z   test_contig_size1_large_dim_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9654554Z   test_contig_size1_large_dim_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9654689Z   test_contig_size1_large_dim_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9654838Z   test_contig_size1_large_dim_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9654985Z   test_contig_size1_large_dim_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9655134Z   test_contig_size1_large_dim_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9655280Z   test_contig_size1_large_dim_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9655432Z   test_contig_size1_large_dim_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9655579Z   test_contig_size1_large_dim_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9655734Z   test_contig_size1_large_dim_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9655888Z   test_contig_size1_large_dim_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9656026Z   test_contig_size1_large_dim_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9656175Z   test_contig_size1_large_dim_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9656325Z   test_contig_size1_large_dim_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9656503Z   test_contig_size1_large_dim_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9656698Z   test_contig_size1_large_dim_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9656847Z   test_contig_size1_large_dim_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9656993Z   test_contig_size1_large_dim_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9657157Z   test_contig_size1_large_dim_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9657311Z   test_contig_size1_large_dim_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9657477Z   test_contig_size1_large_dim_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:11.9657641Z   test_contig_size1_large_dim_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9657801Z   test_contig_size1_large_dim_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9657959Z   test_contig_size1_large_dim_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9658120Z   test_contig_size1_large_dim_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9658283Z   test_contig_size1_large_dim_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:11.9658445Z   test_contig_size1_large_dim_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9658612Z   test_contig_size1_large_dim_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9658768Z   test_contig_size1_large_dim_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9658932Z   test_contig_size1_large_dim_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9659100Z   test_contig_size1_large_dim_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9659266Z   test_contig_size1_large_dim_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9659429Z   test_contig_size1_large_dim_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9659592Z   test_contig_size1_large_dim_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9659756Z   test_contig_size1_large_dim_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9659922Z   test_contig_size1_large_dim_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9660088Z   test_contig_size1_large_dim_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9660242Z   test_contig_size1_large_dim_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9660402Z   test_contig_size1_large_dim_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9660562Z   test_contig_size1_large_dim_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9660726Z   test_contig_size1_large_dim_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9660889Z   test_contig_size1_large_dim_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9661053Z   test_contig_size1_large_dim_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9661217Z   test_contig_size1_large_dim_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9661379Z   test_contig_size1_large_dim_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9661570Z   test_contig_size1_large_dim_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9661743Z   test_contig_size1_large_dim_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9661905Z   test_contig_size1_large_dim_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9662066Z   test_contig_size1_large_dim_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9662227Z   test_contig_size1_large_dim_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9662389Z   test_contig_size1_large_dim_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9662553Z   test_contig_size1_large_dim_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9662716Z   test_contig_size1_large_dim_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9662876Z   test_contig_size1_large_dim_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663034Z   test_contig_size1_large_dim_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663183Z   test_contig_size1_large_dim_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663345Z   test_contig_size1_large_dim_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663506Z   test_contig_size1_large_dim_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663670Z   test_contig_size1_large_dim_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663829Z   test_contig_size1_large_dim_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9663995Z   test_contig_size1_large_dim_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9664154Z   test_contig_size1_large_dim_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9664313Z   test_contig_size1_large_dim_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9664467Z   test_contig_size1_large_dim_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9664615Z   test_contig_size1_large_dim_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9664772Z   test_contig_size1_large_dim_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9664930Z   test_contig_size1_large_dim_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9665085Z   test_contig_size1_large_dim_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9665249Z   test_contig_size1_large_dim_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9665411Z   test_contig_size1_large_dim_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9665572Z   test_contig_size1_large_dim_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9665729Z   test_contig_size1_large_dim_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9665889Z   test_contig_size1_large_dim_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9666033Z   test_contig_size1_large_dim_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9666193Z   test_contig_size1_large_dim_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9666354Z   test_contig_size1_large_dim_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9666541Z   test_contig_size1_large_dim_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9666703Z   test_contig_size1_large_dim_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9666886Z   test_contig_size1_large_dim_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9667048Z   test_contig_size1_large_dim_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9667204Z   test_contig_size1_large_dim_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9667360Z   test_contig_size1_large_dim_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9667505Z   test_contig_size1_large_dim_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9667661Z   test_contig_size1_large_dim_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9667820Z   test_contig_size1_large_dim_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9667978Z   test_contig_size1_large_dim_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9668132Z   test_contig_size1_large_dim_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9668286Z   test_contig_size1_large_dim_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9668442Z   test_contig_size1_large_dim_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9668597Z   test_contig_size1_large_dim_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9668752Z   test_contig_size1_large_dim_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9668895Z   test_contig_size1_large_dim_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9669055Z   test_contig_size1_large_dim_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9669214Z   test_contig_size1_large_dim_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9669374Z   test_contig_size1_large_dim_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9669531Z   test_contig_size1_large_dim_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9669686Z   test_contig_size1_large_dim_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9669843Z   test_contig_size1_large_dim_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9669999Z   test_contig_size1_large_dim_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9670142Z   test_contig_size1_large_dim_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9670310Z   test_contig_size1_large_dim_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9670477Z   test_contig_size1_large_dim_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9670645Z   test_contig_size1_large_dim_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9670810Z   test_contig_size1_large_dim_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9670971Z   test_contig_size1_large_dim_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9671134Z   test_contig_size1_large_dim_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9671296Z   test_contig_size1_large_dim_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9671458Z   test_contig_size1_large_dim_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9671658Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9671870Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9672044Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9672220Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9672394Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9672567Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9672740Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9672913Z   test_contig_size1_large_dim_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9673086Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9673333Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9673495Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9673668Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9673839Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9674011Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9674184Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9674357Z   test_contig_size1_large_dim_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9674533Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9674705Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9674875Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9675035Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9675203Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9675372Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9675545Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9675718Z   test_contig_size1_large_dim_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9675888Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9676060Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9676228Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9676400Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9676554Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9676759Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9676957Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9677129Z   test_contig_size1_large_dim_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9677295Z   test_contig_size1_large_dim_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9677456Z   test_contig_size1_large_dim_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9677620Z   test_contig_size1_large_dim_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9677780Z   test_contig_size1_large_dim_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9677940Z   test_contig_size1_large_dim_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9678086Z   test_contig_size1_large_dim_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9678242Z   test_contig_size1_large_dim_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9678401Z   test_contig_size1_large_dim_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9678561Z   test_contig_size1_large_dim_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9678717Z   test_contig_size1_large_dim_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9678880Z   test_contig_size1_large_dim_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9679040Z   test_contig_size1_large_dim_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9679199Z   test_contig_size1_large_dim_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9679356Z   test_contig_size1_large_dim_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9679500Z   test_contig_size1_large_dim_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9679659Z   test_contig_size1_large_dim_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9679814Z   test_contig_size1_large_dim_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9680014Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:11.9680207Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9680402Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9680598Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9680789Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9680980Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9681165Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9681343Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9681533Z   test_contig_size1_large_dim_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9681715Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9681948Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9682160Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9682343Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9682526Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9682707Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9682888Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9683059Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9683247Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9683541Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9683724Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9683903Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9684081Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9684260Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9684443Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9684624Z   test_contig_size1_large_dim_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9684801Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9684969Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9685143Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9685320Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9685495Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9685672Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9685848Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9686024Z   test_contig_size1_large_dim_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9686179Z   test_contig_size1_large_dim_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9686328Z   test_contig_size1_large_dim_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9686474Z   test_contig_size1_large_dim_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9686633Z   test_contig_size1_large_dim_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9686785Z   test_contig_size1_large_dim_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9686987Z   test_contig_size1_large_dim_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9687137Z   test_contig_size1_large_dim_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9687316Z   test_contig_size1_large_dim_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9687468Z   test_contig_size1_large_dim_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9687615Z   test_contig_size1_large_dim_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9687765Z   test_contig_size1_large_dim_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9687909Z   test_contig_size1_large_dim_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9688062Z   test_contig_size1_large_dim_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9688223Z   test_contig_size1_large_dim_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9688384Z   test_contig_size1_large_dim_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9688543Z   test_contig_size1_large_dim_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9688698Z   test_contig_size1_large_dim_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9688853Z   test_contig_size1_large_dim_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9689003Z   test_contig_size1_large_dim_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9689142Z   test_contig_size1_large_dim_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9689294Z   test_contig_size1_large_dim_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9689444Z   test_contig_size1_large_dim_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9689596Z   test_contig_size1_large_dim_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9689749Z   test_contig_size1_large_dim_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9689897Z   test_contig_size1_large_dim_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9690052Z   test_contig_size1_large_dim_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9690206Z   test_contig_size1_large_dim_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9690355Z   test_contig_size1_large_dim_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9690495Z   test_contig_size1_large_dim_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9690643Z   test_contig_size1_large_dim_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9690791Z   test_contig_size1_large_dim_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9690938Z   test_contig_size1_large_dim_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9691089Z   test_contig_size1_large_dim_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9691237Z   test_contig_size1_large_dim_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9691393Z   test_contig_size1_large_dim_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9691540Z   test_contig_size1_large_dim_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9691697Z   test_contig_size1_large_dim_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:11.9691839Z   test_contig_size1_large_dim_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:11.9691990Z   test_contig_size1_large_dim_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9692174Z   test_contig_size1_large_dim_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9692402Z   test_contig_size1_large_dim_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9692554Z   test_contig_size1_large_dim_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9692700Z   test_contig_size1_large_dim_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9692847Z   test_contig_size1_large_dim_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9692994Z   test_contig_size1_large_dim_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9693136Z   test_contig_size1_large_dim_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:11.9693290Z   test_contig_size1_large_dim_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9693444Z   test_contig_size1_large_dim_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9693593Z   test_contig_size1_large_dim_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9693745Z   test_contig_size1_large_dim_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9693897Z   test_contig_size1_large_dim_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9694048Z   test_contig_size1_large_dim_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9694196Z   test_contig_size1_large_dim_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9694344Z   test_contig_size1_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9694476Z   test_contig_size1_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9694623Z   test_contig_size1_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9694766Z   test_contig_size1_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9694909Z   test_contig_size1_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695051Z   test_contig_size1_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695186Z   test_contig_size1_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695328Z   test_contig_size1_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695471Z   test_contig_size1_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695604Z   test_contig_size1_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695746Z   test_contig_size1_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9695894Z   test_contig_size1_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696042Z   test_contig_size1_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696187Z   test_contig_size1_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696327Z   test_contig_size1_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696466Z   test_contig_size1_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696604Z   test_contig_size1_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696729Z   test_contig_size1_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9696869Z   test_contig_size1_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697005Z   test_contig_size1_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697150Z   test_contig_size1_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697328Z   test_contig_size1_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697477Z   test_contig_size1_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697649Z   test_contig_size1_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697795Z   test_contig_size1_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9697924Z   test_contig_size1_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698064Z   test_contig_size1_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698203Z   test_contig_size1_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698340Z   test_contig_size1_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698478Z   test_contig_size1_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698620Z   test_contig_size1_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698764Z   test_contig_size1_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9698906Z   test_contig_size1_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699051Z   test_contig_size1_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699184Z   test_contig_size1_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699327Z   test_contig_size1_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699469Z   test_contig_size1_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699608Z   test_contig_size1_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699748Z   test_contig_size1_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9699888Z   test_contig_size1_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700026Z   test_contig_size1_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700164Z   test_contig_size1_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700296Z   test_contig_size1_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700435Z   test_contig_size1_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700581Z   test_contig_size1_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700724Z   test_contig_size1_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9700865Z   test_contig_size1_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701006Z   test_contig_size1_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701143Z   test_contig_size1_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701280Z   test_contig_size1_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701407Z   test_contig_size1_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701547Z   test_contig_size1_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701682Z   test_contig_size1_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701833Z   test_contig_size1_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9701979Z   test_contig_size1_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9702134Z   test_contig_size1_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9702287Z   test_contig_size1_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9702436Z   test_contig_size1_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9702605Z   test_contig_size1_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9702781Z   test_contig_size1_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9702928Z   test_contig_size1_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703076Z   test_contig_size1_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703223Z   test_contig_size1_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703367Z   test_contig_size1_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703514Z   test_contig_size1_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703659Z   test_contig_size1_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703802Z   test_contig_size1_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9703935Z   test_contig_size1_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704074Z   test_contig_size1_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704216Z   test_contig_size1_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704353Z   test_contig_size1_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704492Z   test_contig_size1_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704631Z   test_contig_size1_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704770Z   test_contig_size1_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9704915Z   test_contig_size1_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705039Z   test_contig_size1_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705188Z   test_contig_size1_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705335Z   test_contig_size1_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705477Z   test_contig_size1_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705620Z   test_contig_size1_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705757Z   test_contig_size1_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9705892Z   test_contig_size1_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706032Z   test_contig_size1_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706157Z   test_contig_size1_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706295Z   test_contig_size1_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706434Z   test_contig_size1_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706573Z   test_contig_size1_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706739Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9706903Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9707060Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9707219Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9707366Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9707525Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9707716Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9707898Z   test_contig_size1_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9708066Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9708228Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9708384Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9708542Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9708696Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9708839Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709002Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709160Z   test_contig_size1_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709322Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709484Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709638Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709793Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9709950Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9710106Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9710254Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9710409Z   test_contig_size1_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9710561Z   test_contig_size1_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9710706Z   test_contig_size1_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9710854Z   test_contig_size1_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711001Z   test_contig_size1_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711149Z   test_contig_size1_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711296Z   test_contig_size1_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711440Z   test_contig_size1_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711571Z   test_contig_size1_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711715Z   test_contig_size1_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9711858Z   test_contig_size1_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712002Z   test_contig_size1_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712147Z   test_contig_size1_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712293Z   test_contig_size1_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712432Z   test_contig_size1_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712574Z   test_contig_size1_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712702Z   test_contig_size1_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9712874Z   test_contig_size1_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713038Z   test_contig_size1_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713177Z   test_contig_size1_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713388Z   test_contig_size1_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713533Z   test_contig_size1_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713671Z   test_contig_size1_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713831Z   test_contig_size1_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9713979Z   test_contig_size1_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9714137Z   test_contig_size1_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9714296Z   test_contig_size1_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9714454Z   test_contig_size1_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9714614Z   test_contig_size1_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9714784Z   test_contig_size1_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9714951Z   test_contig_size1_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9715118Z   test_contig_size1_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9715290Z   test_contig_size1_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9715448Z   test_contig_size1_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9715619Z   test_contig_size1_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9715785Z   test_contig_size1_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9715949Z   test_contig_size1_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9716107Z   test_contig_size1_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9716267Z   test_contig_size1_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9716424Z   test_contig_size1_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9716584Z   test_contig_size1_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9716746Z   test_contig_size1_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9716903Z   test_contig_size1_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9717070Z   test_contig_size1_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9717236Z   test_contig_size1_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9717392Z   test_contig_size1_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9717549Z   test_contig_size1_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9717707Z   test_contig_size1_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9717865Z   test_contig_size1_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9718059Z   test_contig_size1_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9718204Z   test_contig_size1_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9718390Z   test_contig_size1_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9718547Z   test_contig_size1_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9718699Z   test_contig_size1_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9718854Z   test_contig_size1_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719009Z   test_contig_size1_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719165Z   test_contig_size1_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719320Z   test_contig_size1_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719478Z   test_contig_size1_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719622Z   test_contig_size1_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719780Z   test_contig_size1_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9719936Z   test_contig_size1_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9720091Z   test_contig_size1_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9720246Z   test_contig_size1_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9720399Z   test_contig_size1_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9720553Z   test_contig_size1_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9720706Z   test_contig_size1_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9720868Z   test_contig_size1_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9721014Z   test_contig_size1_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9721170Z   test_contig_size1_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9721326Z   test_contig_size1_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9721480Z   test_contig_size1_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9721638Z   test_contig_size1_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9721813Z   test_contig_size1_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9721986Z   test_contig_size1_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9722146Z   test_contig_size1_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9722301Z   test_contig_size1_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9722444Z   test_contig_size1_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9722606Z   test_contig_size1_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9722769Z   test_contig_size1_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9722933Z   test_contig_size1_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9723099Z   test_contig_size1_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9723295Z   test_contig_size1_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9723593Z   test_contig_size1_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9723762Z   test_contig_size1_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9723929Z   test_contig_size1_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9724083Z   test_contig_size1_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9724245Z   test_contig_size1_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9724401Z   test_contig_size1_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9724558Z   test_contig_size1_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9724719Z   test_contig_size1_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9724876Z   test_contig_size1_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9725030Z   test_contig_size1_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9725191Z   test_contig_size1_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9725338Z   test_contig_size1_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9725505Z   test_contig_size1_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9725675Z   test_contig_size1_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9725847Z   test_contig_size1_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726011Z   test_contig_size1_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726176Z   test_contig_size1_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726339Z   test_contig_size1_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726499Z   test_contig_size1_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726659Z   test_contig_size1_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726807Z   test_contig_size1_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9726964Z   test_contig_size1_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9727129Z   test_contig_size1_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9727295Z   test_contig_size1_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9727454Z   test_contig_size1_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9727613Z   test_contig_size1_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9727766Z   test_contig_size1_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9727926Z   test_contig_size1_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9728088Z   test_contig_size1_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9728237Z   test_contig_size1_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9728449Z   test_contig_size1_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9728648Z   test_contig_size1_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9728813Z   test_contig_size1_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9728971Z   test_contig_size1_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9729130Z   test_contig_size1_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9729287Z   test_contig_size1_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9729438Z   test_contig_size1_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9729598Z   test_contig_size1_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9729750Z   test_contig_size1_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9729917Z   test_contig_size1_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9730078Z   test_contig_size1_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9730239Z   test_contig_size1_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9730403Z   test_contig_size1_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9730564Z   test_contig_size1_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9730718Z   test_contig_size1_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9730871Z   test_contig_size1_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731033Z   test_contig_size1_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731185Z   test_contig_size1_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731352Z   test_contig_size1_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731510Z   test_contig_size1_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731673Z   test_contig_size1_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731832Z   test_contig_size1_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9731989Z   test_contig_size1_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9732143Z   test_contig_size1_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9732298Z   test_contig_size1_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9732458Z   test_contig_size1_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9732600Z   test_contig_size1_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9732764Z   test_contig_size1_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9732922Z   test_contig_size1_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9733084Z   test_contig_size1_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9733241Z   test_contig_size1_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9733396Z   test_contig_size1_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9733585Z   test_contig_size1_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9733768Z   test_contig_size1_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9733931Z   test_contig_size1_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9734076Z   test_contig_size1_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9734239Z   test_contig_size1_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9734396Z   test_contig_size1_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9734559Z   test_contig_size1_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9734719Z   test_contig_size1_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9734877Z   test_contig_size1_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735039Z   test_contig_size1_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735199Z   test_contig_size1_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735346Z   test_contig_size1_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735506Z   test_contig_size1_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735654Z   test_contig_size1_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735808Z   test_contig_size1_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9735958Z   test_contig_size1_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736111Z   test_contig_size1_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736261Z   test_contig_size1_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736409Z   test_contig_size1_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736556Z   test_contig_size1_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736687Z   test_contig_size1_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736829Z   test_contig_size1_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9736966Z   test_contig_size1_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737108Z   test_contig_size1_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737248Z   test_contig_size1_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737396Z   test_contig_size1_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737543Z   test_contig_size1_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737688Z   test_contig_size1_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737815Z   test_contig_size1_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9737953Z   test_contig_size1_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738095Z   test_contig_size1_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738234Z   test_contig_size1_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738380Z   test_contig_size1_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738525Z   test_contig_size1_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738697Z   test_contig_size1_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738871Z   test_contig_size1_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9738999Z   test_contig_size1_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739150Z   test_contig_size1_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739297Z   test_contig_size1_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739440Z   test_contig_size1_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739583Z   test_contig_size1_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739722Z   test_contig_size1_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739857Z   test_contig_size1_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9739999Z   test_contig_size1_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9740139Z   test_contig_size1_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9740265Z   test_contig_size1_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9740406Z   test_contig_size1_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9740546Z   test_contig_size1_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9740699Z   test_contig_size1_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9740847Z   test_contig_size1_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741003Z   test_contig_size1_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741157Z   test_contig_size1_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741309Z   test_contig_size1_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741451Z   test_contig_size1_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741601Z   test_contig_size1_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741749Z   test_contig_size1_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9741898Z   test_contig_size1_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742047Z   test_contig_size1_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742192Z   test_contig_size1_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742337Z   test_contig_size1_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742484Z   test_contig_size1_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742614Z   test_contig_size1_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742757Z   test_contig_size1_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9742898Z   test_contig_size1_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743040Z   test_contig_size1_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743179Z   test_contig_size1_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743318Z   test_contig_size1_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743457Z   test_contig_size1_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743615Z   test_contig_size1_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743801Z   test_contig_size1_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9743945Z   test_contig_size1_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9744124Z   test_contig_size1_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9744280Z   test_contig_size1_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9744432Z   test_contig_size1_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9744596Z   test_contig_size1_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9744756Z   test_contig_size1_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9744916Z   test_contig_size1_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745058Z   test_contig_size1_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745189Z   test_contig_size1_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745341Z   test_contig_size1_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745486Z   test_contig_size1_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745630Z   test_contig_size1_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745768Z   test_contig_size1_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9745909Z   test_contig_size1_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746048Z   test_contig_size1_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746187Z   test_contig_size1_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746312Z   test_contig_size1_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746450Z   test_contig_size1_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746596Z   test_contig_size1_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746734Z   test_contig_size1_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9746879Z   test_contig_size1_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747023Z   test_contig_size1_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747164Z   test_contig_size1_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747305Z   test_contig_size1_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747442Z   test_contig_size1_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747570Z   test_contig_size1_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747709Z   test_contig_size1_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747846Z   test_contig_size1_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9747981Z   test_contig_size1_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748119Z   test_contig_size1_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748254Z   test_contig_size1_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748401Z   test_contig_size1_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748543Z   test_contig_size1_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748678Z   test_contig_size1_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748825Z   test_contig_size1_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9748997Z   test_contig_size1_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749136Z   test_contig_size1_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749299Z   test_contig_size1_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749443Z   test_contig_size1_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749581Z   test_contig_size1_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749718Z   test_contig_size1_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749845Z   test_contig_size1_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9749982Z   test_contig_size1_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750129Z   test_contig_size1_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750276Z   test_contig_size1_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750427Z   test_contig_size1_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750579Z   test_contig_size1_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750725Z   test_contig_size1_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750864Z   test_contig_size1_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9750993Z   test_contig_size1_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751130Z   test_contig_size1_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751265Z   test_contig_size1_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751406Z   test_contig_size1_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751551Z   test_contig_size1_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751688Z   test_contig_size1_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751830Z   test_contig_size1_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9751972Z   test_contig_size1_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752112Z   test_contig_size1_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752237Z   test_contig_size1_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752377Z   test_contig_size1_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752515Z   test_contig_size1_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752652Z   test_contig_size1_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752792Z   test_contig_size1_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9752928Z   test_contig_size1_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753076Z   test_contig_size1_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753277Z   test_contig_size1_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753417Z   test_contig_size1_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753560Z   test_contig_size1_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753699Z   test_contig_size1_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753843Z   test_contig_size1_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9753982Z   test_contig_size1_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9754120Z   test_contig_size1_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9754296Z   test_contig_size1_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9754461Z   test_contig_size1_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9754589Z   test_contig_size1_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9754729Z   test_contig_size1_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9754873Z   test_contig_size1_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755015Z   test_contig_size1_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755154Z   test_contig_size1_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755293Z   test_contig_size1_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755430Z   test_contig_size1_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755569Z   test_contig_size1_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755696Z   test_contig_size1_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755833Z   test_contig_size1_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9755972Z   test_contig_size1_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756112Z   test_contig_size1_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756247Z   test_contig_size1_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756395Z   test_contig_size1_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756541Z   test_contig_size1_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756683Z   test_contig_size1_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756811Z   test_contig_size1_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9756949Z   test_contig_size1_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757088Z   test_contig_size1_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757228Z   test_contig_size1_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757366Z   test_contig_size1_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757504Z   test_contig_size1_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757647Z   test_contig_size1_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757783Z   test_contig_size1_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9757928Z   test_contig_size1_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758063Z   test_contig_size1_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758203Z   test_contig_size1_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758341Z   test_contig_size1_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758478Z   test_contig_size1_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758614Z   test_contig_size1_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758752Z   test_contig_size1_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9758886Z   test_contig_size1_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759020Z   test_contig_size1_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759161Z   test_contig_size1_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759346Z   test_contig_size1_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759500Z   test_contig_size1_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759678Z   test_contig_size1_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759832Z   test_contig_size1_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9759980Z   test_contig_size1_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9760131Z   test_contig_size1_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9760279Z   test_contig_size1_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9760419Z   test_contig_size1_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9760577Z   test_contig_size1_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9760736Z   test_contig_size1_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9760888Z   test_contig_size1_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761037Z   test_contig_size1_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761188Z   test_contig_size1_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761341Z   test_contig_size1_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761491Z   test_contig_size1_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761641Z   test_contig_size1_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761784Z   test_contig_size1_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9761943Z   test_contig_size1_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762093Z   test_contig_size1_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762243Z   test_contig_size1_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762390Z   test_contig_size1_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762542Z   test_contig_size1_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762692Z   test_contig_size1_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762842Z   test_contig_size1_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9762983Z   test_contig_size1_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9763141Z   test_contig_size1_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9763293Z   test_contig_size1_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9763551Z   test_contig_size1_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9763700Z   test_contig_size1_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9763849Z   test_contig_size1_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9763997Z   test_contig_size1_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9764144Z   test_contig_size1_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9764295Z   test_contig_size1_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9764436Z   test_contig_size1_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9764634Z   test_contig_size1_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9764828Z   test_contig_size1_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9764978Z   test_contig_size1_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9765126Z   test_contig_size1_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9765274Z   test_contig_size1_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9765424Z   test_contig_size1_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9765573Z   test_contig_size1_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9765723Z   test_contig_size1_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9765863Z   test_contig_size1_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766012Z   test_contig_size1_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766161Z   test_contig_size1_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766308Z   test_contig_size1_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766456Z   test_contig_size1_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766603Z   test_contig_size1_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766749Z   test_contig_size1_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9766900Z   test_contig_size1_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767041Z   test_contig_size1_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767192Z   test_contig_size1_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767337Z   test_contig_size1_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767485Z   test_contig_size1_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767631Z   test_contig_size1_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767779Z   test_contig_size1_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9767930Z   test_contig_size1_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768076Z   test_contig_size1_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768223Z   test_contig_size1_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768358Z   test_contig_size1_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768506Z   test_contig_size1_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768654Z   test_contig_size1_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768796Z   test_contig_size1_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9768942Z   test_contig_size1_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9769089Z   test_contig_size1_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9769233Z   test_contig_size1_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9769379Z   test_contig_size1_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9769510Z   test_contig_size1_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9769689Z   test_contig_size1_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9769832Z   test_contig_size1_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770004Z   test_contig_size1_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770152Z   test_contig_size1_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770295Z   test_contig_size1_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770439Z   test_contig_size1_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770589Z   test_contig_size1_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770724Z   test_contig_size1_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9770868Z   test_contig_size1_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771010Z   test_contig_size1_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771158Z   test_contig_size1_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771301Z   test_contig_size1_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771447Z   test_contig_size1_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771599Z   test_contig_size1_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771758Z   test_contig_size1_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9771914Z   test_contig_size1_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772056Z   test_contig_size1_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772211Z   test_contig_size1_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772360Z   test_contig_size1_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772512Z   test_contig_size1_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772664Z   test_contig_size1_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772830Z   test_contig_size1_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9772995Z   test_contig_size1_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9773161Z   test_contig_size1_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9773313Z   test_contig_size1_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9773481Z   test_contig_size1_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9773645Z   test_contig_size1_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9773811Z   test_contig_size1_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9773972Z   test_contig_size1_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9774133Z   test_contig_size1_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9774299Z   test_contig_size1_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9774464Z   test_contig_size1_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9774624Z   test_contig_size1_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9774833Z   test_contig_size1_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775020Z   test_contig_size1_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775184Z   test_contig_size1_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775346Z   test_contig_size1_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775509Z   test_contig_size1_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775674Z   test_contig_size1_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775837Z   test_contig_size1_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9775997Z   test_contig_size1_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9776159Z   test_contig_size1_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9776311Z   test_contig_size1_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9776473Z   test_contig_size1_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9776633Z   test_contig_size1_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9776795Z   test_contig_size1_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9776959Z   test_contig_size1_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9777124Z   test_contig_size1_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9777287Z   test_contig_size1_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9777448Z   test_contig_size1_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9777609Z   test_contig_size1_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9777755Z   test_contig_size1_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9777919Z   test_contig_size1_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778072Z   test_contig_size1_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778222Z   test_contig_size1_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778374Z   test_contig_size1_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778526Z   test_contig_size1_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778678Z   test_contig_size1_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778824Z   test_contig_size1_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9778973Z   test_contig_size1_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9779109Z   test_contig_size1_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9779257Z   test_contig_size1_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9779403Z   test_contig_size1_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9779554Z   test_contig_size1_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9779705Z   test_contig_size1_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9779883Z   test_contig_size1_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9780032Z   test_contig_size1_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9780207Z   test_contig_size1_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9780343Z   test_contig_size1_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9780492Z   test_contig_size1_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9780680Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9780861Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9781043Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9781227Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9781408Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9781583Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9781756Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9781936Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9782103Z   test_contig_size1_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9782278Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9782455Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9782629Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9782805Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9782977Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9783145Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9783318Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9783488Z   test_contig_size1_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9783646Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9783822Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9783996Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9784165Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9784333Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9784496Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9784665Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9784831Z   test_contig_size1_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9785026Z   test_contig_size1_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9785210Z   test_contig_size1_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9785381Z   test_contig_size1_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9785547Z   test_contig_size1_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9785714Z   test_contig_size1_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9785875Z   test_contig_size1_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786042Z   test_contig_size1_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786208Z   test_contig_size1_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786356Z   test_contig_size1_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786499Z   test_contig_size1_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786633Z   test_contig_size1_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786779Z   test_contig_size1_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9786921Z   test_contig_size1_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787059Z   test_contig_size1_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787199Z   test_contig_size1_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787337Z   test_contig_size1_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787474Z   test_contig_size1_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787614Z   test_contig_size1_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787740Z   test_contig_size1_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9787888Z   test_contig_size1_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788030Z   test_contig_size1_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788180Z   test_contig_size1_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788328Z   test_contig_size1_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788472Z   test_contig_size1_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788613Z   test_contig_size1_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788751Z   test_contig_size1_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9788882Z   test_contig_size1_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789020Z   test_contig_size1_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789161Z   test_contig_size1_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789301Z   test_contig_size1_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789442Z   test_contig_size1_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789579Z   test_contig_size1_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789717Z   test_contig_size1_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9789862Z   test_contig_size1_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790005Z   test_contig_size1_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790163Z   test_contig_size1_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790302Z   test_contig_size1_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790467Z   test_contig_size1_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790606Z   test_contig_size1_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790743Z   test_contig_size1_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9790877Z   test_contig_size1_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791011Z   test_contig_size1_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791156Z   test_contig_size1_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791282Z   test_contig_size1_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791433Z   test_contig_size1_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791578Z   test_contig_size1_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791721Z   test_contig_size1_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791859Z   test_contig_size1_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9791997Z   test_contig_size1_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792136Z   test_contig_size1_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792274Z   test_contig_size1_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792398Z   test_contig_size1_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792534Z   test_contig_size1_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792677Z   test_contig_size1_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792823Z   test_contig_size1_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9792962Z   test_contig_size1_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9793101Z   test_contig_size1_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9793306Z   test_contig_size1_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9793449Z   test_contig_size1_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9793575Z   test_contig_size1_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9793716Z   test_contig_size1_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9793865Z   test_contig_vs_every_other_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794019Z   test_contig_vs_every_other_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794175Z   test_contig_vs_every_other_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794330Z   test_contig_vs_every_other_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794480Z   test_contig_vs_every_other_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794628Z   test_contig_vs_every_other_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794773Z   test_contig_vs_every_other_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9794906Z   test_contig_vs_every_other_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9795053Z   test_contig_vs_every_other_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9795199Z   test_contig_vs_every_other_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9795379Z   test_contig_vs_every_other_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9795523Z   test_contig_vs_every_other_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9795701Z   test_contig_vs_every_other_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9795848Z   test_contig_vs_every_other_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9796005Z   test_contig_vs_every_other_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9796146Z   test_contig_vs_every_other_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9796299Z   test_contig_vs_every_other_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9796449Z   test_contig_vs_every_other_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9796596Z   test_contig_vs_every_other_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9796745Z   test_contig_vs_every_other_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9796893Z   test_contig_vs_every_other_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797038Z   test_contig_vs_every_other_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797183Z   test_contig_vs_every_other_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797336Z   test_contig_vs_every_other_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797470Z   test_contig_vs_every_other_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797627Z   test_contig_vs_every_other_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797782Z   test_contig_vs_every_other_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9797935Z   test_contig_vs_every_other_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798087Z   test_contig_vs_every_other_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798236Z   test_contig_vs_every_other_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798386Z   test_contig_vs_every_other_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798530Z   test_contig_vs_every_other_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798663Z   test_contig_vs_every_other_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798808Z   test_contig_vs_every_other_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9798959Z   test_contig_vs_every_other_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9799104Z   test_contig_vs_every_other_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9799261Z   test_contig_vs_every_other_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9799420Z   test_contig_vs_every_other_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9799573Z   test_contig_vs_every_other_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9799723Z   test_contig_vs_every_other_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9799873Z   test_contig_vs_every_other_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800009Z   test_contig_vs_every_other_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800156Z   test_contig_vs_every_other_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800301Z   test_contig_vs_every_other_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800474Z   test_contig_vs_every_other_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800621Z   test_contig_vs_every_other_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800806Z   test_contig_vs_every_other_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9800954Z   test_contig_vs_every_other_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801111Z   test_contig_vs_every_other_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801254Z   test_contig_vs_every_other_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801404Z   test_contig_vs_every_other_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801555Z   test_contig_vs_every_other_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801702Z   test_contig_vs_every_other_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801848Z   test_contig_vs_every_other_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9801996Z   test_contig_vs_every_other_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9802142Z   test_contig_vs_every_other_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9802286Z   test_contig_vs_every_other_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9802437Z   test_contig_vs_every_other_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9802569Z   test_contig_vs_every_other_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9802726Z   test_contig_vs_every_other_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9802881Z   test_contig_vs_every_other_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9803035Z   test_contig_vs_every_other_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9803186Z   test_contig_vs_every_other_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9803334Z   test_contig_vs_every_other_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9803584Z   test_contig_vs_every_other_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9803730Z   test_contig_vs_every_other_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9803862Z   test_contig_vs_every_other_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804008Z   test_contig_vs_every_other_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804158Z   test_contig_vs_every_other_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804308Z   test_contig_vs_every_other_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804464Z   test_contig_vs_every_other_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804620Z   test_contig_vs_every_other_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804769Z   test_contig_vs_every_other_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9804919Z   test_contig_vs_every_other_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9805067Z   test_contig_vs_every_other_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9805200Z   test_contig_vs_every_other_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9805345Z   test_contig_vs_every_other_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9805490Z   test_contig_vs_every_other_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9805686Z   test_contig_vs_every_other_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9805839Z   test_contig_vs_every_other_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9806018Z   test_contig_vs_every_other_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9806177Z   test_contig_vs_every_other_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9806529Z   test_contig_vs_every_other_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9806671Z   test_contig_vs_every_other_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9806855Z   test_contig_vs_every_other_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9807032Z   test_contig_vs_every_other_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9807215Z   test_contig_vs_every_other_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9807393Z   test_contig_vs_every_other_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9807580Z   test_contig_vs_every_other_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9807756Z   test_contig_vs_every_other_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9807946Z   test_contig_vs_every_other_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9808085Z   test_contig_vs_every_other_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9808344Z   test_contig_vs_every_other_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9808532Z   test_contig_vs_every_other_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9808719Z   test_contig_vs_every_other_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9808906Z   test_contig_vs_every_other_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9809100Z   test_contig_vs_every_other_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9809281Z   test_contig_vs_every_other_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9809461Z   test_contig_vs_every_other_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9809645Z   test_contig_vs_every_other_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9809781Z   test_contig_vs_every_other_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9809982Z   test_contig_vs_every_other_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9810162Z   test_contig_vs_every_other_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9810349Z   test_contig_vs_every_other_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9810543Z   test_contig_vs_every_other_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9810729Z   test_contig_vs_every_other_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9810912Z   test_contig_vs_every_other_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9811097Z   test_contig_vs_every_other_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9811281Z   test_contig_vs_every_other_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9811422Z   test_contig_vs_every_other_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9811655Z   test_contig_vs_every_other_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9811875Z   test_contig_vs_every_other_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9812062Z   test_contig_vs_every_other_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9812270Z   test_contig_vs_every_other_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9812452Z   test_contig_vs_every_other_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9812630Z   test_contig_vs_every_other_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9812808Z   test_contig_vs_every_other_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9812947Z   test_contig_vs_every_other_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9813121Z   test_contig_vs_every_other_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9813326Z   test_contig_vs_every_other_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9813505Z   test_contig_vs_every_other_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9813681Z   test_contig_vs_every_other_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9813864Z   test_contig_vs_every_other_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9814040Z   test_contig_vs_every_other_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9814223Z   test_contig_vs_every_other_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9814441Z   test_contig_vs_every_other_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9814580Z   test_contig_vs_every_other_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9814768Z   test_contig_vs_every_other_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9814965Z   test_contig_vs_every_other_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9815140Z   test_contig_vs_every_other_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9815317Z   test_contig_vs_every_other_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9815494Z   test_contig_vs_every_other_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9815668Z   test_contig_vs_every_other_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9815843Z   test_contig_vs_every_other_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9815988Z   test_contig_vs_every_other_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9816175Z   test_contig_vs_every_other_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9816364Z   test_contig_vs_every_other_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9816576Z   test_contig_vs_every_other_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9816764Z   test_contig_vs_every_other_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9816948Z   test_contig_vs_every_other_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9817131Z   test_contig_vs_every_other_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9817315Z   test_contig_vs_every_other_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9817501Z   test_contig_vs_every_other_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9817642Z   test_contig_vs_every_other_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9817856Z   test_contig_vs_every_other_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9818066Z   test_contig_vs_every_other_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9818293Z   test_contig_vs_every_other_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9818475Z   test_contig_vs_every_other_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9818652Z   test_contig_vs_every_other_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9818838Z   test_contig_vs_every_other_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9819015Z   test_contig_vs_every_other_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9819190Z   test_contig_vs_every_other_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9819324Z   test_contig_vs_every_other_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9819502Z   test_contig_vs_every_other_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9819678Z   test_contig_vs_every_other_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9819882Z   test_contig_vs_every_other_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9820063Z   test_contig_vs_every_other_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9820259Z   test_contig_vs_every_other_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9820444Z   test_contig_vs_every_other_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9820656Z   test_contig_vs_every_other_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9820798Z   test_contig_vs_every_other_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9820978Z   test_contig_vs_every_other_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9821159Z   test_contig_vs_every_other_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9821344Z   test_contig_vs_every_other_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9821545Z   test_contig_vs_every_other_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9821728Z   test_contig_vs_every_other_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9821908Z   test_contig_vs_every_other_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9822088Z   test_contig_vs_every_other_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9822269Z   test_contig_vs_every_other_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9822407Z   test_contig_vs_every_other_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9822596Z   test_contig_vs_every_other_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9822780Z   test_contig_vs_every_other_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9822964Z   test_contig_vs_every_other_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9823169Z   test_contig_vs_every_other_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9823351Z   test_contig_vs_every_other_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9823531Z   test_contig_vs_every_other_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9823707Z   test_contig_vs_every_other_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9823844Z   test_contig_vs_every_other_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9824050Z   test_contig_vs_every_other_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9824257Z   test_contig_vs_every_other_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9824467Z   test_contig_vs_every_other_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9824649Z   test_contig_vs_every_other_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9824869Z   test_contig_vs_every_other_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9825054Z   test_contig_vs_every_other_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9825237Z   test_contig_vs_every_other_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9825419Z   test_contig_vs_every_other_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9825558Z   test_contig_vs_every_other_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9825737Z   test_contig_vs_every_other_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9825922Z   test_contig_vs_every_other_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9826100Z   test_contig_vs_every_other_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9826276Z   test_contig_vs_every_other_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9826472Z   test_contig_vs_every_other_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9826647Z   test_contig_vs_every_other_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9826855Z   test_contig_vs_every_other_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9826995Z   test_contig_vs_every_other_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9827172Z   test_contig_vs_every_other_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9827368Z   test_contig_vs_every_other_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9827552Z   test_contig_vs_every_other_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9827733Z   test_contig_vs_every_other_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9827912Z   test_contig_vs_every_other_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9828111Z   test_contig_vs_every_other_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9828290Z   test_contig_vs_every_other_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9828469Z   test_contig_vs_every_other_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9828603Z   test_contig_vs_every_other_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9828787Z   test_contig_vs_every_other_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9828965Z   test_contig_vs_every_other_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9829139Z   test_contig_vs_every_other_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9829335Z   test_contig_vs_every_other_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9829526Z   test_contig_vs_every_other_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9829740Z   test_contig_vs_every_other_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9829935Z   test_contig_vs_every_other_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9830090Z   test_contig_vs_every_other_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9830352Z   test_contig_vs_every_other_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9830537Z   test_contig_vs_every_other_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9830745Z   test_contig_vs_every_other_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9830934Z   test_contig_vs_every_other_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9831122Z   test_contig_vs_every_other_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9831312Z   test_contig_vs_every_other_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9831526Z   test_contig_vs_every_other_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9831716Z   test_contig_vs_every_other_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9831857Z   test_contig_vs_every_other_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9832032Z   test_contig_vs_every_other_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9832216Z   test_contig_vs_every_other_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9832397Z   test_contig_vs_every_other_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9832574Z   test_contig_vs_every_other_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9832752Z   test_contig_vs_every_other_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9832933Z   test_contig_vs_every_other_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9833149Z   test_contig_vs_every_other_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9833403Z   test_contig_vs_every_other_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9833547Z   test_contig_vs_every_other_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9833725Z   test_contig_vs_every_other_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9833906Z   test_contig_vs_every_other_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9834084Z   test_contig_vs_every_other_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9834269Z   test_contig_vs_every_other_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9834460Z   test_contig_vs_every_other_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9834640Z   test_contig_vs_every_other_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9834844Z   test_contig_vs_every_other_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9834984Z   test_contig_vs_every_other_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9835160Z   test_contig_vs_every_other_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9835337Z   test_contig_vs_every_other_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9835516Z   test_contig_vs_every_other_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9835689Z   test_contig_vs_every_other_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9835886Z   test_contig_vs_every_other_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9836067Z   test_contig_vs_every_other_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9836251Z   test_contig_vs_every_other_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9836487Z   test_contig_vs_every_other_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9836664Z   test_contig_vs_every_other_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9836880Z   test_contig_vs_every_other_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9837062Z   test_contig_vs_every_other_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9837245Z   test_contig_vs_every_other_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9837422Z   test_contig_vs_every_other_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9837596Z   test_contig_vs_every_other_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9837784Z   test_contig_vs_every_other_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9837966Z   test_contig_vs_every_other_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9838111Z   test_contig_vs_every_other_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9838317Z   test_contig_vs_every_other_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9838493Z   test_contig_vs_every_other_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9838681Z   test_contig_vs_every_other_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9838859Z   test_contig_vs_every_other_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9839038Z   test_contig_vs_every_other_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9839216Z   test_contig_vs_every_other_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9839427Z   test_contig_vs_every_other_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9839611Z   test_contig_vs_every_other_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9839758Z   test_contig_vs_every_other_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9839969Z   test_contig_vs_every_other_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9840164Z   test_contig_vs_every_other_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9840345Z   test_contig_vs_every_other_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9840526Z   test_contig_vs_every_other_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9840711Z   test_contig_vs_every_other_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9840892Z   test_contig_vs_every_other_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9841071Z   test_contig_vs_every_other_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9841207Z   test_contig_vs_every_other_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9841390Z   test_contig_vs_every_other_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9841598Z   test_contig_vs_every_other_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9841779Z   test_contig_vs_every_other_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9841955Z   test_contig_vs_every_other_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9842133Z   test_contig_vs_every_other_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9842311Z   test_contig_vs_every_other_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9842487Z   test_contig_vs_every_other_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9842726Z   test_contig_vs_every_other_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9842861Z   test_contig_vs_every_other_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9843071Z   test_contig_vs_every_other_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9843268Z   test_contig_vs_every_other_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9843543Z   test_contig_vs_every_other_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9843724Z   test_contig_vs_every_other_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9843904Z   test_contig_vs_every_other_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9844082Z   test_contig_vs_every_other_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9844267Z   test_contig_vs_every_other_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9844404Z   test_contig_vs_every_other_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9844582Z   test_contig_vs_every_other_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9844756Z   test_contig_vs_every_other_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9844953Z   test_contig_vs_every_other_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9845136Z   test_contig_vs_every_other_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9845316Z   test_contig_vs_every_other_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9845500Z   test_contig_vs_every_other_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9845717Z   test_contig_vs_every_other_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9845897Z   test_contig_vs_every_other_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9846036Z   test_contig_vs_every_other_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9846214Z   test_contig_vs_every_other_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9846392Z   test_contig_vs_every_other_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9846587Z   test_contig_vs_every_other_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9846769Z   test_contig_vs_every_other_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9846946Z   test_contig_vs_every_other_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9847134Z   test_contig_vs_every_other_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9847311Z   test_contig_vs_every_other_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9847448Z   test_contig_vs_every_other_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9847625Z   test_contig_vs_every_other_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9847800Z   test_contig_vs_every_other_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9847976Z   test_contig_vs_every_other_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9848176Z   test_contig_vs_every_other_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9848351Z   test_contig_vs_every_other_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9848538Z   test_contig_vs_every_other_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9848716Z   test_contig_vs_every_other_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9848984Z   test_contig_vs_every_other_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9849127Z   test_contig_vs_every_other_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9849348Z   test_contig_vs_every_other_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9849530Z   test_contig_vs_every_other_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9849707Z   test_contig_vs_every_other_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9849912Z   test_contig_vs_every_other_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9850086Z   test_contig_vs_every_other_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9850263Z   test_contig_vs_every_other_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9850436Z   test_contig_vs_every_other_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9850580Z   test_contig_vs_every_other_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9850754Z   test_contig_vs_every_other_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9850934Z   test_contig_vs_every_other_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9851111Z   test_contig_vs_every_other_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9851295Z   test_contig_vs_every_other_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9851496Z   test_contig_vs_every_other_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9851677Z   test_contig_vs_every_other_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9851884Z   test_contig_vs_every_other_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9852062Z   test_contig_vs_every_other_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9852201Z   test_contig_vs_every_other_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9852377Z   test_contig_vs_every_other_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9852562Z   test_contig_vs_every_other_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9852752Z   test_contig_vs_every_other_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9852937Z   test_contig_vs_every_other_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9853137Z   test_contig_vs_every_other_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9853315Z   test_contig_vs_every_other_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9853491Z   test_contig_vs_every_other_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9853629Z   test_contig_vs_every_other_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9853807Z   test_contig_vs_every_other_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9853980Z   test_contig_vs_every_other_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9854163Z   test_contig_vs_every_other_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9854338Z   test_contig_vs_every_other_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9854522Z   test_contig_vs_every_other_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9854716Z   test_contig_vs_every_other_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9854906Z   test_contig_vs_every_other_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9855176Z   test_contig_vs_every_other_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9855322Z   test_contig_vs_every_other_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9855538Z   test_contig_vs_every_other_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9855720Z   test_contig_vs_every_other_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9855899Z   test_contig_vs_every_other_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9856082Z   test_contig_vs_every_other_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9856260Z   test_contig_vs_every_other_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9856453Z   test_contig_vs_every_other_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9856631Z   test_contig_vs_every_other_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9856770Z   test_contig_vs_every_other_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9856960Z   test_contig_vs_every_other_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9857140Z   test_contig_vs_every_other_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9857319Z   test_contig_vs_every_other_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9857494Z   test_contig_vs_every_other_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9857669Z   test_contig_vs_every_other_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9857846Z   test_contig_vs_every_other_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9858072Z   test_contig_vs_every_other_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9858256Z   test_contig_vs_every_other_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9858395Z   test_contig_vs_every_other_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9858576Z   test_contig_vs_every_other_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9858754Z   test_contig_vs_every_other_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9858933Z   test_contig_vs_every_other_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9859134Z   test_contig_vs_every_other_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:11.9859332Z   test_contig_vs_every_other_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:11.9859530Z   test_contig_vs_every_other_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:11.9859750Z   test_contig_vs_every_other_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:11.9859931Z   test_contig_vs_every_other_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9860073Z   test_contig_vs_every_other_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9860258Z   test_contig_vs_every_other_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9860440Z   test_contig_vs_every_other_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9860619Z   test_contig_vs_every_other_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9890531Z   test_contig_vs_every_other_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9890736Z   test_contig_vs_every_other_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9890881Z   test_contig_vs_every_other_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9891157Z   test_contig_vs_every_other_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9891337Z   test_contig_vs_every_other_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9891483Z   test_contig_vs_every_other_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9891624Z   test_contig_vs_every_other_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9891763Z   test_contig_vs_every_other_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9891904Z   test_contig_vs_every_other_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892043Z   test_contig_vs_every_other_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892185Z   test_contig_vs_every_other_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892325Z   test_contig_vs_every_other_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892462Z   test_contig_vs_every_other_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892602Z   test_contig_vs_every_other_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892740Z   test_contig_vs_every_other_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9892879Z   test_contig_vs_every_other_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893025Z   test_contig_vs_every_other_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893172Z   test_contig_vs_every_other_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893319Z   test_contig_vs_every_other_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893461Z   test_contig_vs_every_other_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893601Z   test_contig_vs_every_other_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893747Z   test_contig_vs_every_other_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9893895Z   test_contig_vs_every_other_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894037Z   test_contig_vs_every_other_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894173Z   test_contig_vs_every_other_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894309Z   test_contig_vs_every_other_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894448Z   test_contig_vs_every_other_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894587Z   test_contig_vs_every_other_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894726Z   test_contig_vs_every_other_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9894866Z   test_contig_vs_every_other_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895006Z   test_contig_vs_every_other_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895158Z   test_contig_vs_every_other_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895303Z   test_contig_vs_every_other_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895454Z   test_contig_vs_every_other_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895606Z   test_contig_vs_every_other_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895759Z   test_contig_vs_every_other_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9895908Z   test_contig_vs_every_other_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896089Z   test_contig_vs_every_other_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896262Z   test_contig_vs_every_other_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896409Z   test_contig_vs_every_other_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896554Z   test_contig_vs_every_other_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896690Z   test_contig_vs_every_other_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896835Z   test_contig_vs_every_other_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9896974Z   test_contig_vs_every_other_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897115Z   test_contig_vs_every_other_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897258Z   test_contig_vs_every_other_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897404Z   test_contig_vs_every_other_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897553Z   test_contig_vs_every_other_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897702Z   test_contig_vs_every_other_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897845Z   test_contig_vs_every_other_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9897984Z   test_contig_vs_every_other_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898122Z   test_contig_vs_every_other_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898262Z   test_contig_vs_every_other_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898402Z   test_contig_vs_every_other_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898540Z   test_contig_vs_every_other_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898682Z   test_contig_vs_every_other_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898821Z   test_contig_vs_every_other_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9898964Z   test_contig_vs_every_other_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899099Z   test_contig_vs_every_other_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899247Z   test_contig_vs_every_other_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899394Z   test_contig_vs_every_other_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899538Z   test_contig_vs_every_other_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899683Z   test_contig_vs_every_other_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899826Z   test_contig_vs_every_other_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9899966Z   test_contig_vs_every_other_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900105Z   test_contig_vs_every_other_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900242Z   test_contig_vs_every_other_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900376Z   test_contig_vs_every_other_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900516Z   test_contig_vs_every_other_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900665Z   test_contig_vs_every_other_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900840Z   test_contig_vs_every_other_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9900989Z   test_contig_vs_every_other_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9901179Z   test_contig_vs_every_other_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9901329Z   test_contig_vs_every_other_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9901476Z   test_contig_vs_every_other_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9901618Z   test_contig_vs_every_other_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9901756Z   test_contig_vs_every_other_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9901900Z   test_contig_vs_every_other_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902040Z   test_contig_vs_every_other_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902190Z   test_contig_vs_every_other_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902336Z   test_contig_vs_every_other_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902483Z   test_contig_vs_every_other_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902630Z   test_contig_vs_every_other_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902776Z   test_contig_vs_every_other_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9902917Z   test_contig_vs_every_other_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903062Z   test_contig_vs_every_other_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903202Z   test_contig_vs_every_other_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903345Z   test_contig_vs_every_other_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903488Z   test_contig_vs_every_other_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903636Z   test_contig_vs_every_other_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903779Z   test_contig_vs_every_other_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9903929Z   test_contig_vs_every_other_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904076Z   test_contig_vs_every_other_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904220Z   test_contig_vs_every_other_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904361Z   test_contig_vs_every_other_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904505Z   test_contig_vs_every_other_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904645Z   test_contig_vs_every_other_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904789Z   test_contig_vs_every_other_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9904931Z   test_contig_vs_every_other_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9905070Z   test_contig_vs_every_other_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9905211Z   test_contig_vs_every_other_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9905345Z   test_contig_vs_every_other_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9905530Z   test_contig_vs_every_other_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9905774Z   test_contig_vs_every_other_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9905985Z   test_contig_vs_every_other_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9906169Z   test_contig_vs_every_other_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9906346Z   test_contig_vs_every_other_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9906522Z   test_contig_vs_every_other_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9906693Z   test_contig_vs_every_other_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9906865Z   test_contig_vs_every_other_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9907040Z   test_contig_vs_every_other_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9907211Z   test_contig_vs_every_other_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9907386Z   test_contig_vs_every_other_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9907556Z   test_contig_vs_every_other_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:11.9907705Z   test_contig_vs_every_other_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9907848Z   test_contig_vs_every_other_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9907994Z   test_contig_vs_every_other_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908140Z   test_contig_vs_every_other_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908284Z   test_contig_vs_every_other_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908428Z   test_contig_vs_every_other_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908564Z   test_contig_vs_every_other_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908705Z   test_contig_vs_every_other_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908842Z   test_contig_vs_every_other_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9908983Z   test_contig_vs_every_other_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909124Z   test_contig_vs_every_other_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909272Z   test_contig_vs_every_other_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909421Z   test_contig_vs_every_other_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909564Z   test_contig_vs_every_other_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909706Z   test_contig_vs_every_other_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909841Z   test_contig_vs_every_other_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9909979Z   test_contig_vs_every_other_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9910115Z   test_contig_vs_every_other_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9910252Z   test_contig_vs_every_other_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9910392Z   test_contig_vs_every_other_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9910567Z   test_contig_vs_every_other_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9910708Z   test_contig_vs_every_other_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9910882Z   test_contig_vs_every_other_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911029Z   test_contig_vs_every_other_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911171Z   test_contig_vs_every_other_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911314Z   test_contig_vs_every_other_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911453Z   test_contig_vs_every_other_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911591Z   test_contig_vs_every_other_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911726Z   test_contig_vs_every_other_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9911867Z   test_contig_vs_every_other_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912011Z   test_contig_vs_every_other_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912152Z   test_contig_vs_every_other_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912287Z   test_contig_vs_every_other_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912433Z   test_contig_vs_every_other_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912577Z   test_contig_vs_every_other_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912718Z   test_contig_vs_every_other_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912859Z   test_contig_vs_every_other_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9912999Z   test_contig_vs_every_other_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9913137Z   test_contig_vs_every_other_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9913411Z   test_contig_vs_every_other_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9913549Z   test_contig_vs_every_other_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9913686Z   test_contig_vs_every_other_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9913829Z   test_contig_vs_every_other_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9913968Z   test_contig_vs_every_other_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914114Z   test_contig_vs_every_other_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914257Z   test_contig_vs_every_other_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914401Z   test_contig_vs_every_other_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914543Z   test_contig_vs_every_other_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914684Z   test_contig_vs_every_other_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914819Z   test_contig_vs_every_other_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9914956Z   test_contig_vs_every_other_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9915092Z   test_contig_vs_every_other_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9915230Z   test_contig_vs_every_other_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9915386Z   test_contig_vs_every_other_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9915566Z   test_contig_vs_every_other_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9915725Z   test_contig_vs_every_other_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9915907Z   test_contig_vs_every_other_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916057Z   test_contig_vs_every_other_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916202Z   test_contig_vs_every_other_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916344Z   test_contig_vs_every_other_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916492Z   test_contig_vs_every_other_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916641Z   test_contig_vs_every_other_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916790Z   test_contig_vs_every_other_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9916938Z   test_contig_vs_every_other_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917085Z   test_contig_vs_every_other_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917230Z   test_contig_vs_every_other_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917366Z   test_contig_vs_every_other_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917511Z   test_contig_vs_every_other_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917653Z   test_contig_vs_every_other_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917791Z   test_contig_vs_every_other_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9917930Z   test_contig_vs_every_other_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9918069Z   test_contig_vs_every_other_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9918209Z   test_contig_vs_every_other_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9918349Z   test_contig_vs_every_other_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9918492Z   test_contig_vs_every_other_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9918628Z   test_contig_vs_every_other_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9918775Z   test_contig_vs_every_other_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9918921Z   test_contig_vs_every_other_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919066Z   test_contig_vs_every_other_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919220Z   test_contig_vs_every_other_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919371Z   test_contig_vs_every_other_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919519Z   test_contig_vs_every_other_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919669Z   test_contig_vs_every_other_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919803Z   test_contig_vs_every_other_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9919951Z   test_contig_vs_every_other_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9920098Z   test_contig_vs_every_other_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9920243Z   test_contig_vs_every_other_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9920420Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9920622Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9920823Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9920993Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9921162Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9921315Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9921482Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9921653Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9921829Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922004Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922175Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922343Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922509Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922672Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922826Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9922993Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9923168Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9923339Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9923682Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9923883Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9924052Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9924216Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9924383Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9924539Z   test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9924702Z   test_contig_vs_every_other_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9924859Z   test_contig_vs_every_other_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925020Z   test_contig_vs_every_other_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925178Z   test_contig_vs_every_other_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925335Z   test_contig_vs_every_other_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925491Z   test_contig_vs_every_other_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925647Z   test_contig_vs_every_other_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925848Z   test_contig_vs_every_other_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9925989Z   test_contig_vs_every_other_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9926174Z   test_contig_vs_every_other_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9926328Z   test_contig_vs_every_other_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9926483Z   test_contig_vs_every_other_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9926637Z   test_contig_vs_every_other_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9926790Z   test_contig_vs_every_other_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9926944Z   test_contig_vs_every_other_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927095Z   test_contig_vs_every_other_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927230Z   test_contig_vs_every_other_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927383Z   test_contig_vs_every_other_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927532Z   test_contig_vs_every_other_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927680Z   test_contig_vs_every_other_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927827Z   test_contig_vs_every_other_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9927971Z   test_contig_vs_every_other_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9928144Z   test_contig_vs_every_other_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9928314Z   test_contig_vs_every_other_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9928486Z   test_contig_vs_every_other_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9928645Z   test_contig_vs_every_other_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9928815Z   test_contig_vs_every_other_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9928983Z   test_contig_vs_every_other_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9929161Z   test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9929337Z   test_contig_vs_every_other_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9929515Z   test_contig_vs_every_other_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9929697Z   test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9929875Z   test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9930056Z   test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9930219Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9930390Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9930564Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9930733Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9930904Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9931101Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9931296Z   test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9931475Z   test_contig_vs_every_other_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9931653Z   test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9931830Z   test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9931985Z   test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9932153Z   test_contig_vs_every_other_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9932323Z   test_contig_vs_every_other_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9932495Z   test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9932664Z   test_contig_vs_every_other_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9932830Z   test_contig_vs_every_other_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9932998Z   test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9933162Z   test_contig_vs_every_other_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9933326Z   test_contig_vs_every_other_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9933479Z   test_contig_vs_every_other_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9933644Z   test_contig_vs_every_other_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9933809Z   test_contig_vs_every_other_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9933975Z   test_contig_vs_every_other_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9934139Z   test_contig_vs_every_other_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9934307Z   test_contig_vs_every_other_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9934473Z   test_contig_vs_every_other_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9934639Z   test_contig_vs_every_other_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9934808Z   test_contig_vs_every_other_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9934960Z   test_contig_vs_every_other_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9935123Z   test_contig_vs_every_other_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9935290Z   test_contig_vs_every_other_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9935452Z   test_contig_vs_every_other_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9935645Z   test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:11.9935837Z   test_contig_vs_every_other_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:11.9936027Z   test_contig_vs_every_other_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:11.9936232Z   test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9936445Z   test_contig_vs_every_other_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9936598Z   test_contig_vs_every_other_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9936779Z   test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9936958Z   test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9937124Z   test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9937291Z   test_contig_vs_every_other_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9937459Z   test_contig_vs_every_other_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9937634Z   test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9937806Z   test_contig_vs_every_other_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9937977Z   test_contig_vs_every_other_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9938139Z   test_contig_vs_every_other_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9938315Z   test_contig_vs_every_other_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9938489Z   test_contig_vs_every_other_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9938662Z   test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9938841Z   test_contig_vs_every_other_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9939015Z   test_contig_vs_every_other_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9939187Z   test_contig_vs_every_other_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9939358Z   test_contig_vs_every_other_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9939526Z   test_contig_vs_every_other_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9939683Z   test_contig_vs_every_other_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9939854Z   test_contig_vs_every_other_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9940024Z   test_contig_vs_every_other_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9940197Z   test_contig_vs_every_other_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9940362Z   test_contig_vs_every_other_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9940539Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9940719Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9940896Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9941070Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9941273Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9941457Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9941630Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9941796Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9941967Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9942133Z   test_contig_vs_every_other_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9942305Z   test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9942481Z   test_contig_vs_every_other_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9942656Z   test_contig_vs_every_other_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9942827Z   test_contig_vs_every_other_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9942987Z   test_contig_vs_every_other_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9943154Z   test_contig_vs_every_other_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9943324Z   test_contig_vs_every_other_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9943490Z   test_contig_vs_every_other_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9943666Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9943840Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9944016Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9944189Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9944359Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9944518Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9944687Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9944858Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9945025Z   test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9945201Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9945370Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9945543Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9945715Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9945881Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9946037Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9946233Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9946403Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9946594Z   test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9946769Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9946938Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9947110Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9947282Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9947450Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9947609Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9947778Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9947945Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9948108Z   test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9948281Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9948451Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9948624Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9948798Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9948969Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9949135Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9949290Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9949458Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9949622Z   test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9949796Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9949965Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9950138Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9950312Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9950480Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9950648Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9950802Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9950969Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9951133Z   test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9951324Z   test_contig_vs_every_other_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9951513Z   test_contig_vs_every_other_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9951676Z   test_contig_vs_every_other_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9951837Z   test_contig_vs_every_other_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9951996Z   test_contig_vs_every_other_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9952154Z   test_contig_vs_every_other_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9952299Z   test_contig_vs_every_other_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9952452Z   test_contig_vs_every_other_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9952608Z   test_contig_vs_every_other_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9952756Z   test_contig_vs_every_other_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9952911Z   test_contig_vs_every_other_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9953061Z   test_contig_vs_every_other_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9953288Z   test_contig_vs_every_other_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9953452Z   test_contig_vs_every_other_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9953596Z   test_contig_vs_every_other_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9953754Z   test_contig_vs_every_other_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9953911Z   test_contig_vs_every_other_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954064Z   test_contig_vs_every_other_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954218Z   test_contig_vs_every_other_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954367Z   test_contig_vs_every_other_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954519Z   test_contig_vs_every_other_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954666Z   test_contig_vs_every_other_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954815Z   test_contig_vs_every_other_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9954951Z   test_contig_vs_every_other_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9955107Z   test_contig_vs_every_other_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9955264Z   test_contig_vs_every_other_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9955419Z   test_contig_vs_every_other_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9955571Z   test_contig_vs_every_other_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9955719Z   test_contig_vs_every_other_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9955865Z   test_contig_vs_every_other_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956014Z   test_contig_vs_every_other_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956149Z   test_contig_vs_every_other_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956298Z   test_contig_vs_every_other_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956485Z   test_contig_vs_every_other_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956630Z   test_contig_vs_every_other_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956823Z   test_contig_vs_every_other_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9956983Z   test_contig_vs_every_other_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9957149Z   test_contig_vs_every_other_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9957314Z   test_contig_vs_every_other_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9957474Z   test_contig_vs_every_other_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9957621Z   test_contig_vs_every_other_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9957782Z   test_contig_vs_every_other_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9957939Z   test_contig_vs_every_other_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9958097Z   test_contig_vs_every_other_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9958254Z   test_contig_vs_every_other_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9958410Z   test_contig_vs_every_other_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9958566Z   test_contig_vs_every_other_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9958719Z   test_contig_vs_every_other_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9958873Z   test_contig_vs_every_other_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959012Z   test_contig_vs_every_other_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959163Z   test_contig_vs_every_other_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959313Z   test_contig_vs_every_other_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959458Z   test_contig_vs_every_other_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959606Z   test_contig_vs_every_other_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959755Z   test_contig_vs_every_other_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9959923Z   test_contig_vs_every_other_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9960088Z   test_contig_vs_every_other_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9960242Z   test_contig_vs_every_other_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9960411Z   test_contig_vs_every_other_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9960578Z   test_contig_vs_every_other_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9960738Z   test_contig_vs_every_other_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9960911Z   test_contig_vs_every_other_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9961081Z   test_contig_vs_every_other_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9961250Z   test_contig_vs_every_other_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9961404Z   test_contig_vs_every_other_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9961552Z   test_contig_vs_every_other_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9961726Z   test_contig_vs_every_other_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9961933Z   test_contig_vs_every_other_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962088Z   test_contig_vs_every_other_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962239Z   test_contig_vs_every_other_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962387Z   test_contig_vs_every_other_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962537Z   test_contig_vs_every_other_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962682Z   test_contig_vs_every_other_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962829Z   test_contig_vs_every_other_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9962978Z   test_contig_vs_every_other_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9963117Z   test_contig_vs_every_other_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9963266Z   test_contig_vs_every_other_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9963548Z   test_contig_vs_every_other_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9963748Z   test_contig_vs_every_other_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9963904Z   test_contig_vs_every_other_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964055Z   test_contig_vs_every_other_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964205Z   test_contig_vs_every_other_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964351Z   test_contig_vs_every_other_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964488Z   test_contig_vs_every_other_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964638Z   test_contig_vs_every_other_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964786Z   test_contig_vs_every_other_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9964932Z   test_contig_vs_every_other_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965078Z   test_contig_vs_every_other_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965233Z   test_contig_vs_every_other_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965383Z   test_contig_vs_every_other_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965542Z   test_contig_vs_every_other_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965701Z   test_contig_vs_every_other_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965842Z   test_contig_vs_every_other_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9965994Z   test_contig_vs_every_other_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9966143Z   test_contig_vs_every_other_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9966292Z   test_contig_vs_every_other_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9966441Z   test_contig_vs_every_other_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9966588Z   test_contig_vs_every_other_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9966735Z   test_contig_vs_every_other_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9966881Z   test_contig_vs_every_other_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9967078Z   test_contig_vs_every_other_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9967268Z   test_contig_vs_every_other_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9967432Z   test_contig_vs_every_other_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9967595Z   test_contig_vs_every_other_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9967750Z   test_contig_vs_every_other_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9967905Z   test_contig_vs_every_other_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968058Z   test_contig_vs_every_other_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968208Z   test_contig_vs_every_other_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968359Z   test_contig_vs_every_other_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968499Z   test_contig_vs_every_other_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968647Z   test_contig_vs_every_other_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968796Z   test_contig_vs_every_other_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9968944Z   test_contig_vs_every_other_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969097Z   test_contig_vs_every_other_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969247Z   test_contig_vs_every_other_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969395Z   test_contig_vs_every_other_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969545Z   test_contig_vs_every_other_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969679Z   test_contig_vs_every_other_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969829Z   test_contig_vs_every_other_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9969976Z   test_contig_vs_every_other_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9970120Z   test_contig_vs_every_other_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9970280Z   test_contig_vs_every_other_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9970432Z   test_contig_vs_every_other_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9970585Z   test_contig_vs_every_other_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9970739Z   test_contig_vs_every_other_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9970896Z   test_contig_vs_every_other_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971036Z   test_contig_vs_every_other_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971186Z   test_contig_vs_every_other_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971333Z   test_contig_vs_every_other_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971483Z   test_contig_vs_every_other_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971634Z   test_contig_vs_every_other_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971783Z   test_contig_vs_every_other_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9971931Z   test_contig_vs_every_other_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9972117Z   test_contig_vs_every_other_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9972256Z   test_contig_vs_every_other_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9972449Z   test_contig_vs_every_other_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9972599Z   test_contig_vs_every_other_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9972746Z   test_contig_vs_every_other_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9972893Z   test_contig_vs_every_other_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973039Z   test_contig_vs_every_other_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973184Z   test_contig_vs_every_other_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973329Z   test_contig_vs_every_other_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973482Z   test_contig_vs_every_other_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973619Z   test_contig_vs_every_other_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973775Z   test_contig_vs_every_other_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9973929Z   test_contig_vs_every_other_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974077Z   test_contig_vs_every_other_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974227Z   test_contig_vs_every_other_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974374Z   test_contig_vs_every_other_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974521Z   test_contig_vs_every_other_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974669Z   test_contig_vs_every_other_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974803Z   test_contig_vs_every_other_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9974951Z   test_contig_vs_every_other_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9975104Z   test_contig_vs_every_other_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9975248Z   test_contig_vs_every_other_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9975403Z   test_contig_vs_every_other_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9975560Z   test_contig_vs_every_other_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9975713Z   test_contig_vs_every_other_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9975863Z   test_contig_vs_every_other_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976010Z   test_contig_vs_every_other_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976147Z   test_contig_vs_every_other_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976291Z   test_contig_vs_every_other_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976438Z   test_contig_vs_every_other_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976582Z   test_contig_vs_every_other_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976749Z   test_contig_vs_every_other_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9976915Z   test_contig_vs_every_other_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9977081Z   test_contig_vs_every_other_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9977276Z   test_contig_vs_every_other_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9977460Z   test_contig_vs_every_other_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9977605Z   test_contig_vs_every_other_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9977766Z   test_contig_vs_every_other_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9977922Z   test_contig_vs_every_other_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9978086Z   test_contig_vs_every_other_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9978254Z   test_contig_vs_every_other_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9978420Z   test_contig_vs_every_other_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9978586Z   test_contig_vs_every_other_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9978749Z   test_contig_vs_every_other_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9978899Z   test_contig_vs_every_other_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9979062Z   test_contig_vs_every_other_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9979224Z   test_contig_vs_every_other_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9979386Z   test_contig_vs_every_other_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9979552Z   test_contig_vs_every_other_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9979717Z   test_contig_vs_every_other_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9979879Z   test_contig_vs_every_other_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9980042Z   test_contig_vs_every_other_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9980202Z   test_contig_vs_every_other_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9980352Z   test_contig_vs_every_other_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9980513Z   test_contig_vs_every_other_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9980674Z   test_contig_vs_every_other_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9980839Z   test_contig_vs_every_other_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981004Z   test_contig_vs_every_other_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981164Z   test_contig_vs_every_other_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981323Z   test_contig_vs_every_other_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981484Z   test_contig_vs_every_other_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981644Z   test_contig_vs_every_other_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981791Z   test_contig_vs_every_other_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9981954Z   test_contig_vs_every_other_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9982118Z   test_contig_vs_every_other_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9982312Z   test_contig_vs_every_other_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9982472Z   test_contig_vs_every_other_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9982688Z   test_contig_vs_every_other_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9982851Z   test_contig_vs_every_other_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983012Z   test_contig_vs_every_other_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983173Z   test_contig_vs_every_other_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983325Z   test_contig_vs_every_other_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983488Z   test_contig_vs_every_other_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983652Z   test_contig_vs_every_other_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983811Z   test_contig_vs_every_other_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9983971Z   test_contig_vs_every_other_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9984130Z   test_contig_vs_every_other_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9984288Z   test_contig_vs_every_other_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9984446Z   test_contig_vs_every_other_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9984604Z   test_contig_vs_every_other_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9984751Z   test_contig_vs_every_other_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9984917Z   test_contig_vs_every_other_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9985078Z   test_contig_vs_every_other_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9985239Z   test_contig_vs_every_other_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9985395Z   test_contig_vs_every_other_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9985546Z   test_contig_vs_every_other_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9985702Z   test_contig_vs_every_other_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9985860Z   test_contig_vs_every_other_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9986021Z   test_contig_vs_every_other_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9986168Z   test_contig_vs_every_other_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9986329Z   test_contig_vs_every_other_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9986484Z   test_contig_vs_every_other_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9986640Z   test_contig_vs_every_other_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9986798Z   test_contig_vs_every_other_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9986955Z   test_contig_vs_every_other_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9987110Z   test_contig_vs_every_other_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9987265Z   test_contig_vs_every_other_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9987450Z   test_contig_vs_every_other_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9987593Z   test_contig_vs_every_other_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9987785Z   test_contig_vs_every_other_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9987941Z   test_contig_vs_every_other_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9988095Z   test_contig_vs_every_other_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9988249Z   test_contig_vs_every_other_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9988403Z   test_contig_vs_every_other_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9988553Z   test_contig_vs_every_other_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9988712Z   test_contig_vs_every_other_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9988858Z   test_contig_vs_every_other_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989015Z   test_contig_vs_every_other_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989171Z   test_contig_vs_every_other_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989326Z   test_contig_vs_every_other_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989482Z   test_contig_vs_every_other_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989634Z   test_contig_vs_every_other_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989789Z   test_contig_vs_every_other_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9989955Z   test_contig_vs_every_other_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9990122Z   test_contig_vs_every_other_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9990279Z   test_contig_vs_every_other_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9990443Z   test_contig_vs_every_other_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9990600Z   test_contig_vs_every_other_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9990756Z   test_contig_vs_every_other_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9990918Z   test_contig_vs_every_other_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9991075Z   test_contig_vs_every_other_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9991253Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9991432Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9991610Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9991773Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9991948Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9992119Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9992294Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9992495Z   test_contig_vs_every_other_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9992667Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9992869Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9993046Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9993298Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9993461Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9993635Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9993808Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9993981Z   test_contig_vs_every_other_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9994155Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9994327Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9994502Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9994670Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9994840Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9995011Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9995172Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9995342Z   test_contig_vs_every_other_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9995514Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9995686Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9995859Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9996027Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9996197Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9996372Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9996543Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9996697Z   test_contig_vs_every_other_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9996864Z   test_contig_vs_every_other_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9997022Z   test_contig_vs_every_other_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9997185Z   test_contig_vs_every_other_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9997346Z   test_contig_vs_every_other_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9997503Z   test_contig_vs_every_other_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9997695Z   test_contig_vs_every_other_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9997878Z   test_contig_vs_every_other_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998038Z   test_contig_vs_every_other_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998180Z   test_contig_vs_every_other_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998337Z   test_contig_vs_every_other_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998500Z   test_contig_vs_every_other_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998660Z   test_contig_vs_every_other_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998823Z   test_contig_vs_every_other_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9998980Z   test_contig_vs_every_other_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9999134Z   test_contig_vs_every_other_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9999289Z   test_contig_vs_every_other_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9999451Z   test_contig_vs_every_other_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:11.9999636Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:11.9999828Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0000024Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0000218Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0000409Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0000599Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0000784Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0000973Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0001156Z   test_contig_vs_every_other_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0001339Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0001513Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0001701Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0001884Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0002067Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0002245Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0002426Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0002606Z   test_contig_vs_every_other_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0002819Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0003027Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0003200Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0003502Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0003728Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0003908Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0004087Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0004268Z   test_contig_vs_every_other_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0004449Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0004628Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0004803Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0004980Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0005145Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0005320Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0005497Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0005675Z   test_contig_vs_every_other_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0005830Z   test_contig_vs_every_other_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0005983Z   test_contig_vs_every_other_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0006142Z   test_contig_vs_every_other_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0006297Z   test_contig_vs_every_other_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0006450Z   test_contig_vs_every_other_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0006590Z   test_contig_vs_every_other_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0006740Z   test_contig_vs_every_other_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0006890Z   test_contig_vs_every_other_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0007038Z   test_contig_vs_every_other_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0007189Z   test_contig_vs_every_other_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0007335Z   test_contig_vs_every_other_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0007492Z   test_contig_vs_every_other_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0007645Z   test_contig_vs_every_other_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0007791Z   test_contig_vs_every_other_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008002Z   test_contig_vs_every_other_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008157Z   test_contig_vs_every_other_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008358Z   test_contig_vs_every_other_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008508Z   test_contig_vs_every_other_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008661Z   test_contig_vs_every_other_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008813Z   test_contig_vs_every_other_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0008959Z   test_contig_vs_every_other_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009108Z   test_contig_vs_every_other_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009241Z   test_contig_vs_every_other_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009392Z   test_contig_vs_every_other_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009541Z   test_contig_vs_every_other_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009696Z   test_contig_vs_every_other_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009849Z   test_contig_vs_every_other_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0009998Z   test_contig_vs_every_other_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0010144Z   test_contig_vs_every_other_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0010292Z   test_contig_vs_every_other_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0010426Z   test_contig_vs_every_other_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0010575Z   test_contig_vs_every_other_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0010723Z   test_contig_vs_every_other_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0010870Z   test_contig_vs_every_other_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011024Z   test_contig_vs_every_other_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011172Z   test_contig_vs_every_other_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011329Z   test_contig_vs_every_other_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011482Z   test_contig_vs_every_other_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011631Z   test_contig_vs_every_other_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011769Z   test_contig_vs_every_other_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0011917Z   test_contig_vs_every_other_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012066Z   test_contig_vs_every_other_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012213Z   test_contig_vs_every_other_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012363Z   test_contig_vs_every_other_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012508Z   test_contig_vs_every_other_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012662Z   test_contig_vs_every_other_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012815Z   test_contig_vs_every_other_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0012954Z   test_contig_vs_every_other_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0013132Z   test_contig_vs_every_other_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0013279Z   test_contig_vs_every_other_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0013451Z   test_contig_vs_every_other_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0013601Z   test_contig_vs_every_other_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0013751Z   test_contig_vs_every_other_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0013904Z   test_contig_vs_transposed_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0014060Z   test_contig_vs_transposed_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0014213Z   test_contig_vs_transposed_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0014357Z   test_contig_vs_transposed_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0014508Z   test_contig_vs_transposed_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0014660Z   test_contig_vs_transposed_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0014809Z   test_contig_vs_transposed_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0014964Z   test_contig_vs_transposed_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0015112Z   test_contig_vs_transposed_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0015263Z   test_contig_vs_transposed_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0015412Z   test_contig_vs_transposed_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0015547Z   test_contig_vs_transposed_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0015699Z   test_contig_vs_transposed_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0015849Z   test_contig_vs_transposed_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0016008Z   test_contig_vs_transposed_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.0016165Z   test_contig_vs_transposed_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.0016316Z   test_contig_vs_transposed_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0016468Z   test_contig_vs_transposed_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0016618Z   test_contig_vs_transposed_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0016769Z   test_contig_vs_transposed_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0016906Z   test_contig_vs_transposed_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0017057Z   test_contig_vs_transposed_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0017205Z   test_contig_vs_transposed_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0017361Z   test_contig_vs_transposed_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0017510Z   test_contig_vs_transposed_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0017671Z   test_contig_vs_transposed_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.0017828Z   test_contig_vs_transposed_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0017983Z   test_contig_vs_transposed_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0018123Z   test_contig_vs_transposed_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0018273Z   test_contig_vs_transposed_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0018455Z   test_contig_vs_transposed_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0018632Z   test_contig_vs_transposed_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0018783Z   test_contig_vs_transposed_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0018934Z   test_contig_vs_transposed_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0019093Z   test_contig_vs_transposed_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0019241Z   test_contig_vs_transposed_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0019389Z   test_contig_vs_transposed_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0019545Z   test_contig_vs_transposed_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0019699Z   test_contig_vs_transposed_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0019852Z   test_contig_vs_transposed_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0020003Z   test_contig_vs_transposed_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0020153Z   test_contig_vs_transposed_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0020302Z   test_contig_vs_transposed_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0020451Z   test_contig_vs_transposed_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0020601Z   test_contig_vs_transposed_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0020737Z   test_contig_vs_transposed_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0020892Z   test_contig_vs_transposed_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0021044Z   test_contig_vs_transposed_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0021200Z   test_contig_vs_transposed_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.0021355Z   test_contig_vs_transposed_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.0021507Z   test_contig_vs_transposed_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0021661Z   test_contig_vs_transposed_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0021809Z   test_contig_vs_transposed_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0021945Z   test_contig_vs_transposed_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0022095Z   test_contig_vs_transposed_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0022246Z   test_contig_vs_transposed_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0022394Z   test_contig_vs_transposed_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0022550Z   test_contig_vs_transposed_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0022699Z   test_contig_vs_transposed_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0022856Z   test_contig_vs_transposed_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.0023013Z   test_contig_vs_transposed_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0023167Z   test_contig_vs_transposed_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0023308Z   test_contig_vs_transposed_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0023459Z   test_contig_vs_transposed_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0023640Z   test_contig_vs_transposed_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0023818Z   test_contig_vs_transposed_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0023969Z   test_contig_vs_transposed_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0024118Z   test_contig_vs_transposed_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0024270Z   test_contig_vs_transposed_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0024420Z   test_contig_vs_transposed_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0024565Z   test_contig_vs_transposed_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.0024720Z   test_contig_vs_transposed_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.0024874Z   test_contig_vs_transposed_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0025030Z   test_contig_vs_transposed_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0025179Z   test_contig_vs_transposed_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0025330Z   test_contig_vs_transposed_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0025481Z   test_contig_vs_transposed_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0025631Z   test_contig_vs_transposed_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0025779Z   test_contig_vs_transposed_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0025921Z   test_contig_vs_transposed_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0026071Z   test_contig_vs_transposed_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0026230Z   test_contig_vs_transposed_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.0026388Z   test_contig_vs_transposed_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.0026540Z   test_contig_vs_transposed_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0026693Z   test_contig_vs_transposed_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0026842Z   test_contig_vs_transposed_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0026992Z   test_contig_vs_transposed_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0027126Z   test_contig_vs_transposed_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0027276Z   test_contig_vs_transposed_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0027425Z   test_contig_vs_transposed_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0027584Z   test_contig_vs_transposed_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0027737Z   test_contig_vs_transposed_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0027898Z   test_contig_vs_transposed_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0028058Z   test_contig_vs_transposed_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0028219Z   test_contig_vs_transposed_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0028375Z   test_contig_vs_transposed_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0028518Z   test_contig_vs_transposed_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0028673Z   test_contig_vs_transposed_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0028856Z   test_contig_vs_transposed_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0029037Z   test_contig_vs_transposed_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0029190Z   test_contig_vs_transposed_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0029342Z   test_contig_vs_transposed_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0029490Z   test_contig_vs_transposed_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0029646Z   test_contig_vs_transposed_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0029803Z   test_contig_vs_transposed_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0029947Z   test_contig_vs_transposed_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0030106Z   test_contig_vs_transposed_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0030260Z   test_contig_vs_transposed_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0030415Z   test_contig_vs_transposed_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0030569Z   test_contig_vs_transposed_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0030718Z   test_contig_vs_transposed_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0030874Z   test_contig_vs_transposed_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0031030Z   test_contig_vs_transposed_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0031174Z   test_contig_vs_transposed_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0031329Z   test_contig_vs_transposed_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0031481Z   test_contig_vs_transposed_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0031630Z   test_contig_vs_transposed_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0031780Z   test_contig_vs_transposed_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0031929Z   test_contig_vs_transposed_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0032077Z   test_contig_vs_transposed_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0032226Z   test_contig_vs_transposed_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0032374Z   test_contig_vs_transposed_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0032512Z   test_contig_vs_transposed_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0032661Z   test_contig_vs_transposed_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0032817Z   test_contig_vs_transposed_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0032974Z   test_contig_vs_transposed_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0033125Z   test_contig_vs_transposed_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0033370Z   test_contig_vs_transposed_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0033523Z   test_contig_vs_transposed_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0033674Z   test_contig_vs_transposed_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0033810Z   test_contig_vs_transposed_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0033959Z   test_contig_vs_transposed_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0034148Z   test_contig_vs_transposed_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0034328Z   test_contig_vs_transposed_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0034491Z   test_contig_vs_transposed_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0034643Z   test_contig_vs_transposed_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0034806Z   test_contig_vs_transposed_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0034966Z   test_contig_vs_transposed_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0035127Z   test_contig_vs_transposed_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0035273Z   test_contig_vs_transposed_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0035430Z   test_contig_vs_transposed_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0035584Z   test_contig_vs_transposed_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0035738Z   test_contig_vs_transposed_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0035891Z   test_contig_vs_transposed_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0036041Z   test_contig_vs_transposed_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0036192Z   test_contig_vs_transposed_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0036341Z   test_contig_vs_transposed_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0036482Z   test_contig_vs_transposed_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0036635Z   test_contig_vs_transposed_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0036786Z   test_contig_vs_transposed_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0036938Z   test_contig_vs_transposed_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0037088Z   test_contig_vs_transposed_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0037235Z   test_contig_vs_transposed_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0037385Z   test_contig_vs_transposed_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0037533Z   test_contig_vs_transposed_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0037692Z   test_contig_vs_transposed_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0037832Z   test_contig_vs_transposed_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0037995Z   test_contig_vs_transposed_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0038157Z   test_contig_vs_transposed_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0038316Z   test_contig_vs_transposed_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0038471Z   test_contig_vs_transposed_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0038625Z   test_contig_vs_transposed_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0038779Z   test_contig_vs_transposed_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0038932Z   test_contig_vs_transposed_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0039072Z   test_contig_vs_transposed_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0039253Z   test_contig_vs_transposed_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0039404Z   test_contig_vs_transposed_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0039592Z   test_contig_vs_transposed_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0039749Z   test_contig_vs_transposed_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0039899Z   test_contig_vs_transposed_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0040057Z   test_contig_vs_transposed_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0040215Z   test_contig_vs_transposed_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0040371Z   test_contig_vs_transposed_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0040511Z   test_contig_vs_transposed_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0040666Z   test_contig_vs_transposed_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0040816Z   test_contig_vs_transposed_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0040967Z   test_contig_vs_transposed_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0041117Z   test_contig_vs_transposed_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0041267Z   test_contig_vs_transposed_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0041418Z   test_contig_vs_transposed_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0041568Z   test_contig_vs_transposed_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0041710Z   test_contig_vs_transposed_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0041863Z   test_contig_vs_transposed_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0042018Z   test_contig_vs_transposed_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0042175Z   test_contig_vs_transposed_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0042333Z   test_contig_vs_transposed_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0042486Z   test_contig_vs_transposed_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0042638Z   test_contig_vs_transposed_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0042789Z   test_contig_vs_transposed_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0042943Z   test_contig_vs_transposed_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0043081Z   test_contig_vs_transposed_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0043233Z   test_contig_vs_transposed_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0043510Z   test_contig_vs_transposed_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0043706Z   test_contig_vs_transposed_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0043862Z   test_contig_vs_transposed_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0044013Z   test_contig_vs_transposed_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0044168Z   test_contig_vs_transposed_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0044327Z   test_contig_vs_transposed_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0044468Z   test_contig_vs_transposed_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0044672Z   test_contig_vs_transposed_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0044823Z   test_contig_vs_transposed_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0045019Z   test_contig_vs_transposed_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0045171Z   test_contig_vs_transposed_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0045320Z   test_contig_vs_transposed_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0045469Z   test_contig_vs_transposed_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0045619Z   test_contig_vs_transposed_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0045767Z   test_contig_vs_transposed_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0045922Z   test_contig_vs_transposed_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0046086Z   test_contig_vs_transposed_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0046258Z   test_contig_vs_transposed_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0046427Z   test_contig_vs_transposed_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0046589Z   test_contig_vs_transposed_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0046755Z   test_contig_vs_transposed_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0046913Z   test_contig_vs_transposed_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0047070Z   test_contig_vs_transposed_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0047219Z   test_contig_vs_transposed_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0047382Z   test_contig_vs_transposed_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0047545Z   test_contig_vs_transposed_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0047707Z   test_contig_vs_transposed_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0047867Z   test_contig_vs_transposed_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0048020Z   test_contig_vs_transposed_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0048169Z   test_contig_vs_transposed_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0048327Z   test_contig_vs_transposed_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0048484Z   test_contig_vs_transposed_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.0048625Z   test_contig_vs_transposed_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0048778Z   test_contig_vs_transposed_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0048930Z   test_contig_vs_transposed_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0049080Z   test_contig_vs_transposed_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0049228Z   test_contig_vs_transposed_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0049376Z   test_contig_vs_transposed_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0049523Z   test_contig_vs_transposed_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0049678Z   test_contig_vs_transposed_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0049815Z   test_contig_vs_transposed_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0050022Z   test_contig_vs_transposed_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.0050206Z   test_contig_vs_transposed_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0050361Z   test_contig_vs_transposed_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0050514Z   test_contig_vs_transposed_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0050663Z   test_contig_vs_transposed_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0050813Z   test_contig_vs_transposed_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0050961Z   test_contig_vs_transposed_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0051110Z   test_contig_vs_transposed_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0051246Z   test_contig_vs_transposed_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0051407Z   test_contig_vs_transposed_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0051562Z   test_contig_vs_transposed_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0051720Z   test_contig_vs_transposed_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0051875Z   test_contig_vs_transposed_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0052027Z   test_contig_vs_transposed_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0052180Z   test_contig_vs_transposed_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0052333Z   test_contig_vs_transposed_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0052470Z   test_contig_vs_transposed_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0052624Z   test_contig_vs_transposed_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0052774Z   test_contig_vs_transposed_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0052931Z   test_contig_vs_transposed_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.149s)
2023-01-11T21:23:12.0053085Z   test_contig_vs_transposed_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0053242Z   test_contig_vs_transposed_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0053398Z   test_contig_vs_transposed_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0053551Z   test_contig_vs_transposed_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0053704Z   test_contig_vs_transposed_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0053844Z   test_contig_vs_transposed_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0053996Z   test_contig_vs_transposed_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0054147Z   test_contig_vs_transposed_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0054303Z   test_contig_vs_transposed_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0054454Z   test_contig_vs_transposed_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0054613Z   test_contig_vs_transposed_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0054771Z   test_contig_vs_transposed_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0054927Z   test_contig_vs_transposed_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0055083Z   test_contig_vs_transposed_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0055255Z   test_contig_vs_transposed_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0055433Z   test_contig_vs_transposed_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0055586Z   test_contig_vs_transposed_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0055736Z   test_contig_vs_transposed_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0055883Z   test_contig_vs_transposed_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0056088Z   test_contig_vs_transposed_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0056275Z   test_contig_vs_transposed_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0056429Z   test_contig_vs_transposed_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0056568Z   test_contig_vs_transposed_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0056720Z   test_contig_vs_transposed_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0056873Z   test_contig_vs_transposed_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0057024Z   test_contig_vs_transposed_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0057173Z   test_contig_vs_transposed_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0057321Z   test_contig_vs_transposed_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0057469Z   test_contig_vs_transposed_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0057616Z   test_contig_vs_transposed_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0057758Z   test_contig_vs_transposed_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0057908Z   test_contig_vs_transposed_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0058058Z   test_contig_vs_transposed_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0058209Z   test_contig_vs_transposed_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0058360Z   test_contig_vs_transposed_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0058509Z   test_contig_vs_transposed_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0058659Z   test_contig_vs_transposed_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0058805Z   test_contig_vs_transposed_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0058953Z   test_contig_vs_transposed_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0059096Z   test_contig_vs_transposed_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0059249Z   test_contig_vs_transposed_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.0059407Z   test_contig_vs_transposed_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0059563Z   test_contig_vs_transposed_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0059714Z   test_contig_vs_transposed_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0059864Z   test_contig_vs_transposed_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0060010Z   test_contig_vs_transposed_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.0060160Z   test_contig_vs_transposed_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.0060298Z   test_contig_vs_transposed_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0060489Z   test_contig_vs_transposed_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0060637Z   test_contig_vs_transposed_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0060812Z   test_contig_vs_transposed_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0060962Z   test_contig_vs_transposed_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0061110Z   test_contig_vs_transposed_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0061258Z   test_contig_vs_transposed_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0061408Z   test_contig_vs_transposed_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0061556Z   test_contig_vs_transposed_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0061693Z   test_contig_vs_transposed_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0061844Z   test_contig_vs_transposed_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0061996Z   test_contig_vs_transposed_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0062145Z   test_contig_vs_transposed_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0062300Z   test_contig_vs_transposed_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0062454Z   test_contig_vs_transposed_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0062604Z   test_contig_vs_transposed_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0062754Z   test_contig_vs_transposed_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0062892Z   test_contig_vs_transposed_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0063042Z   test_contig_vs_transposed_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0063191Z   test_contig_vs_transposed_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0063342Z   test_contig_vs_transposed_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0063492Z   test_contig_vs_transposed_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0063645Z   test_contig_vs_transposed_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0063796Z   test_contig_vs_transposed_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0063947Z   test_contig_vs_transposed_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0064102Z   test_contig_vs_transposed_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0064241Z   test_contig_vs_transposed_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0064394Z   test_contig_vs_transposed_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0064543Z   test_contig_vs_transposed_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0064693Z   test_contig_vs_transposed_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0064843Z   test_contig_vs_transposed_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0064996Z   test_contig_vs_transposed_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0065143Z   test_contig_vs_transposed_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0065300Z   test_contig_vs_transposed_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0065441Z   test_contig_vs_transposed_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0065596Z   test_contig_vs_transposed_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0065808Z   test_contig_vs_transposed_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0065984Z   test_contig_vs_transposed_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0066134Z   test_contig_vs_transposed_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0066282Z   test_contig_vs_transposed_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0066432Z   test_contig_vs_transposed_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0066582Z   test_contig_vs_transposed_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0066734Z   test_contig_vs_transposed_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0066869Z   test_contig_vs_transposed_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0067028Z   test_contig_vs_transposed_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0067179Z   test_contig_vs_transposed_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0067342Z   test_contig_vs_transposed_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0067502Z   test_contig_vs_transposed_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0067658Z   test_contig_vs_transposed_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0067813Z   test_contig_vs_transposed_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0067966Z   test_contig_vs_transposed_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0068104Z   test_contig_vs_transposed_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0068255Z   test_contig_vs_transposed_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0068406Z   test_contig_vs_transposed_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0068559Z   test_contig_vs_transposed_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0068709Z   test_contig_vs_transposed_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0068858Z   test_contig_vs_transposed_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0069013Z   test_contig_vs_transposed_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0069166Z   test_contig_vs_transposed_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0069317Z   test_contig_vs_transposed_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0069452Z   test_contig_vs_transposed_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0069601Z   test_contig_vs_transposed_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0069749Z   test_contig_vs_transposed_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0069902Z   test_contig_vs_transposed_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0070052Z   test_contig_vs_transposed_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0070233Z   test_contig_vs_transposed_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0070383Z   test_contig_vs_transposed_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0070536Z   test_contig_vs_transposed_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0070673Z   test_contig_vs_transposed_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0070846Z   test_contig_vs_transposed_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0071047Z   test_contig_vs_transposed_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0071247Z   test_contig_vs_transposed_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0071418Z   test_contig_vs_transposed_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0071572Z   test_contig_vs_transposed_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0071722Z   test_contig_vs_transposed_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0071879Z   test_contig_vs_transposed_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0072033Z   test_contig_vs_transposed_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0072172Z   test_contig_vs_transposed_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0072325Z   test_contig_vs_transposed_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0072475Z   test_contig_vs_transposed_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0072624Z   test_contig_vs_transposed_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0072774Z   test_contig_vs_transposed_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0072923Z   test_contig_vs_transposed_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0073074Z   test_contig_vs_transposed_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0073291Z   test_contig_vs_transposed_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0073432Z   test_contig_vs_transposed_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0073583Z   test_contig_vs_transposed_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0073733Z   test_contig_vs_transposed_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0073884Z   test_contig_vs_transposed_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0074030Z   test_contig_vs_transposed_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0074180Z   test_contig_vs_transposed_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0074327Z   test_contig_vs_transposed_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0074475Z   test_contig_vs_transposed_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0074623Z   test_contig_vs_transposed_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0074769Z   test_contig_vs_transposed_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0074928Z   test_contig_vs_transposed_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0075083Z   test_contig_vs_transposed_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0075235Z   test_contig_vs_transposed_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0075384Z   test_contig_vs_transposed_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0075539Z   test_contig_vs_transposed_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0075695Z   test_contig_vs_transposed_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0075845Z   test_contig_vs_transposed_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0075981Z   test_contig_vs_transposed_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0076131Z   test_contig_vs_transposed_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0076311Z   test_contig_vs_transposed_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0076491Z   test_contig_vs_transposed_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0076642Z   test_contig_vs_transposed_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0076789Z   test_contig_vs_transposed_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0076939Z   test_contig_vs_transposed_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0077099Z   test_contig_vs_transposed_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0077253Z   test_contig_vs_transposed_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0077404Z   test_contig_vs_transposed_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0077567Z   test_contig_vs_transposed_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0077729Z   test_contig_vs_transposed_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0077887Z   test_contig_vs_transposed_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0078046Z   test_contig_vs_transposed_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0078201Z   test_contig_vs_transposed_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0078356Z   test_contig_vs_transposed_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0078511Z   test_contig_vs_transposed_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0078653Z   test_contig_vs_transposed_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0078810Z   test_contig_vs_transposed_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0078960Z   test_contig_vs_transposed_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0079114Z   test_contig_vs_transposed_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0079269Z   test_contig_vs_transposed_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0079425Z   test_contig_vs_transposed_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0079583Z   test_contig_vs_transposed_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0079739Z   test_contig_vs_transposed_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0079891Z   test_contig_vs_transposed_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0080031Z   test_contig_vs_transposed_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0080182Z   test_contig_vs_transposed_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0080336Z   test_contig_vs_transposed_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0080487Z   test_contig_vs_transposed_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0080640Z   test_contig_vs_transposed_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0080791Z   test_contig_vs_transposed_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0080940Z   test_contig_vs_transposed_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0081096Z   test_contig_vs_transposed_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0081232Z   test_contig_vs_transposed_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0081424Z   test_contig_vs_transposed_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0081582Z   test_contig_vs_transposed_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0081772Z   test_contig_vs_transposed_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0081927Z   test_contig_vs_transposed_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0082078Z   test_contig_vs_transposed_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0082228Z   test_contig_vs_transposed_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0082376Z   test_contig_vs_transposed_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0082526Z   test_contig_vs_transposed_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0082666Z   test_contig_vs_transposed_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0082816Z   test_contig_vs_transposed_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0082976Z   test_contig_vs_transposed_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0083131Z   test_contig_vs_transposed_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0083287Z   test_contig_vs_transposed_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0083608Z   test_contig_vs_transposed_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0083769Z   test_contig_vs_transposed_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0083926Z   test_contig_vs_transposed_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0084067Z   test_contig_vs_transposed_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0084221Z   test_contig_vs_transposed_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0084376Z   test_contig_vs_transposed_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0084529Z   test_contig_vs_transposed_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0084688Z   test_contig_vs_transposed_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0084843Z   test_contig_vs_transposed_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0085003Z   test_contig_vs_transposed_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0085160Z   test_contig_vs_transposed_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0085315Z   test_contig_vs_transposed_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0085455Z   test_contig_vs_transposed_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0085611Z   test_contig_vs_transposed_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0085765Z   test_contig_vs_transposed_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0085919Z   test_contig_vs_transposed_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0086068Z   test_contig_vs_transposed_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0086226Z   test_contig_vs_transposed_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0086379Z   test_contig_vs_transposed_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0086540Z   test_contig_vs_transposed_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0086684Z   test_contig_vs_transposed_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0086896Z   test_contig_vs_transposed_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0087049Z   test_contig_vs_transposed_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0087239Z   test_contig_vs_transposed_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0087392Z   test_contig_vs_transposed_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0087545Z   test_contig_vs_transposed_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0087697Z   test_contig_vs_transposed_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0087846Z   test_contig_vs_transposed_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0087999Z   test_contig_vs_transposed_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0088141Z   test_contig_vs_transposed_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0088332Z   test_contig_vs_transposed_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0088520Z   test_contig_vs_transposed_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0088713Z   test_contig_vs_transposed_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0088906Z   test_contig_vs_transposed_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0089091Z   test_contig_vs_transposed_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0089278Z   test_contig_vs_transposed_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0089463Z   test_contig_vs_transposed_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0089649Z   test_contig_vs_transposed_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0089836Z   test_contig_vs_transposed_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0090005Z   test_contig_vs_transposed_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0090187Z   test_contig_vs_transposed_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0090369Z   test_contig_vs_transposed_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0090527Z   test_contig_vs_transposed_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0090685Z   test_contig_vs_transposed_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0090840Z   test_contig_vs_transposed_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0090998Z   test_contig_vs_transposed_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0091150Z   test_contig_vs_transposed_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0091302Z   test_contig_vs_transposed_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0091437Z   test_contig_vs_transposed_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0091587Z   test_contig_vs_transposed_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0091740Z   test_contig_vs_transposed_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0091895Z   test_contig_vs_transposed_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0092074Z   test_contig_vs_transposed_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0092257Z   test_contig_vs_transposed_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0092415Z   test_contig_vs_transposed_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0092569Z   test_contig_vs_transposed_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0092709Z   test_contig_vs_transposed_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0092857Z   test_contig_vs_transposed_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0093006Z   test_contig_vs_transposed_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0093153Z   test_contig_vs_transposed_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0093306Z   test_contig_vs_transposed_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0093454Z   test_contig_vs_transposed_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0093611Z   test_contig_vs_transposed_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0093760Z   test_contig_vs_transposed_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0093918Z   test_contig_vs_transposed_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.0094063Z   test_contig_vs_transposed_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0094215Z   test_contig_vs_transposed_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0094366Z   test_contig_vs_transposed_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0094517Z   test_contig_vs_transposed_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0094669Z   test_contig_vs_transposed_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0094820Z   test_contig_vs_transposed_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0094972Z   test_contig_vs_transposed_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0095120Z   test_contig_vs_transposed_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0095263Z   test_contig_vs_transposed_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0095413Z   test_contig_vs_transposed_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0095569Z   test_contig_vs_transposed_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0095723Z   test_contig_vs_transposed_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0095879Z   test_contig_vs_transposed_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0096029Z   test_contig_vs_transposed_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0096181Z   test_contig_vs_transposed_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0096331Z   test_contig_vs_transposed_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0096479Z   test_contig_vs_transposed_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0096616Z   test_contig_vs_transposed_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0096767Z   test_contig_vs_transposed_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0096919Z   test_contig_vs_transposed_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0097069Z   test_contig_vs_transposed_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0097253Z   test_contig_vs_transposed_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0097412Z   test_contig_vs_transposed_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.0097586Z   test_contig_vs_transposed_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0097739Z   test_contig_vs_transposed_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0097875Z   test_contig_vs_transposed_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0098023Z   test_contig_vs_transposed_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0098171Z   test_contig_vs_transposed_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0098321Z   test_contig_vs_transposed_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0098465Z   test_contig_vs_transposed_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0098630Z   test_contig_vs_transposed_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0098788Z   test_contig_vs_transposed_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0098953Z   test_contig_vs_transposed_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0099105Z   test_contig_vs_transposed_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0099265Z   test_contig_vs_transposed_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0099426Z   test_contig_vs_transposed_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0099585Z   test_contig_vs_transposed_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0099742Z   test_contig_vs_transposed_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0099902Z   test_contig_vs_transposed_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0100061Z   test_contig_vs_transposed_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0100217Z   test_contig_vs_transposed_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0100372Z   test_contig_vs_transposed_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0100515Z   test_contig_vs_transposed_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0100666Z   test_contig_vs_transposed_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.0100819Z   test_contig_vs_transposed_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0100971Z   test_contig_vs_transposed_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0101123Z   test_contig_vs_transposed_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.0101273Z   test_contig_vs_transposed_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.0101424Z   test_contig_vs_transposed_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.0101572Z   test_contig_vs_transposed_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.0101708Z   test_contig_vs_transposed_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.0101862Z   test_contig_vs_transposed_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0102010Z   test_contig_vs_transposed_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0102165Z   test_contig_vs_transposed_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0102319Z   test_contig_vs_transposed_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0102503Z   test_contig_vs_transposed_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0102687Z   test_contig_vs_transposed_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0102841Z   test_contig_vs_transposed_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0102990Z   test_contig_vs_transposed_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0103128Z   test_contig_vs_transposed_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0103277Z   test_contig_vs_transposed_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0103427Z   test_contig_vs_transposed_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0103574Z   test_contig_vs_transposed_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0103722Z   test_contig_vs_transposed_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0103898Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0104072Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0104244Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0104402Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0104572Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0104740Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0104908Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0105076Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0105251Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.0105422Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0105593Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.0105763Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.0105915Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.0106084Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.0106254Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0106421Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.0106596Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.0106765Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.0106937Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.0107103Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0107270Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0107435Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0107622Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0107813Z   test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.0107975Z   test_contig_vs_transposed_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0108131Z   test_contig_vs_transposed_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0108291Z   test_contig_vs_transposed_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0108449Z   test_contig_vs_transposed_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0108608Z   test_contig_vs_transposed_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0108762Z   test_contig_vs_transposed_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0108908Z   test_contig_vs_transposed_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0109063Z   test_contig_vs_transposed_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0109220Z   test_contig_vs_transposed_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0109372Z   test_contig_vs_transposed_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0109526Z   test_contig_vs_transposed_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0109681Z   test_contig_vs_transposed_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0109835Z   test_contig_vs_transposed_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0109988Z   test_contig_vs_transposed_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0110139Z   test_contig_vs_transposed_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0110278Z   test_contig_vs_transposed_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0110429Z   test_contig_vs_transposed_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0110579Z   test_contig_vs_transposed_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0110728Z   test_contig_vs_transposed_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0110876Z   test_contig_vs_transposed_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0111024Z   test_contig_vs_transposed_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0111170Z   test_contig_vs_transposed_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0111339Z   test_contig_vs_transposed_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0111499Z   test_contig_vs_transposed_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0111672Z   test_contig_vs_transposed_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0111841Z   test_contig_vs_transposed_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0112007Z   test_contig_vs_transposed_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0112175Z   test_contig_vs_transposed_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0112353Z   test_contig_vs_transposed_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0112528Z   test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0112704Z   test_contig_vs_transposed_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0112914Z   test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0113120Z   test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0113356Z   test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0113535Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0113708Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0113881Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0114052Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0114226Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0114394Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0114563Z   test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0114740Z   test_contig_vs_transposed_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0114903Z   test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0115081Z   test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0115248Z   test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0115418Z   test_contig_vs_transposed_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0115585Z   test_contig_vs_transposed_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0115760Z   test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0115929Z   test_contig_vs_transposed_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0116097Z   test_contig_vs_transposed_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0116264Z   test_contig_vs_transposed_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0116416Z   test_contig_vs_transposed_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0116581Z   test_contig_vs_transposed_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0116750Z   test_contig_vs_transposed_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0116918Z   test_contig_vs_transposed_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0117085Z   test_contig_vs_transposed_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0117252Z   test_contig_vs_transposed_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0117415Z   test_contig_vs_transposed_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0117583Z   test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0117750Z   test_contig_vs_transposed_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0117905Z   test_contig_vs_transposed_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0118108Z   test_contig_vs_transposed_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0118312Z   test_contig_vs_transposed_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0118478Z   test_contig_vs_transposed_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0118642Z   test_contig_vs_transposed_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0118807Z   test_contig_vs_transposed_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0119002Z   test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:12.0119193Z   test_contig_vs_transposed_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:12.0119384Z   test_contig_vs_transposed_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:12.0119542Z   test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0119708Z   test_contig_vs_transposed_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0119871Z   test_contig_vs_transposed_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0120053Z   test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0120232Z   test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0120400Z   test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0120569Z   test_contig_vs_transposed_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0120733Z   test_contig_vs_transposed_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0120909Z   test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0121071Z   test_contig_vs_transposed_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0121248Z   test_contig_vs_transposed_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0121423Z   test_contig_vs_transposed_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0121598Z   test_contig_vs_transposed_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0121772Z   test_contig_vs_transposed_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0121949Z   test_contig_vs_transposed_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0122128Z   test_contig_vs_transposed_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0122301Z   test_contig_vs_transposed_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0122475Z   test_contig_vs_transposed_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0122635Z   test_contig_vs_transposed_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0122804Z   test_contig_vs_transposed_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0122975Z   test_contig_vs_transposed_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0123175Z   test_contig_vs_transposed_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0123475Z   test_contig_vs_transposed_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0123694Z   test_contig_vs_transposed_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0123866Z   test_contig_vs_transposed_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0124043Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0124225Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.0124405Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.0124569Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0124748Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0124921Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0125092Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0125263Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0125436Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0125604Z   test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0125780Z   test_contig_vs_transposed_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0125957Z   test_contig_vs_transposed_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0126121Z   test_contig_vs_transposed_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0126295Z   test_contig_vs_transposed_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0126467Z   test_contig_vs_transposed_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0126633Z   test_contig_vs_transposed_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0126806Z   test_contig_vs_transposed_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0126971Z   test_contig_vs_transposed_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0127150Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.137s)
2023-01-11T21:23:12.0127324Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0127503Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0127665Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0127838Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0128008Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0128177Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0128347Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0128566Z   test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0128777Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0128949Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0129123Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0129283Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0129454Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0129623Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0129792Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0129960Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0130130Z   test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0130304Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.0130477Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.0130652Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.0130813Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.0130984Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0131156Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0131324Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0131492Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0131657Z   test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.0131831Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.0132000Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.0132174Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.0132348Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.0132506Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0132674Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0132840Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0133007Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0133172Z   test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.0133347Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.0133516Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.0133719Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.0133918Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.0134076Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0134245Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0134411Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0134579Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.0134743Z   test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.0134905Z   test_contig_vs_transposed_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0135070Z   test_contig_vs_transposed_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0135233Z   test_contig_vs_transposed_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0135396Z   test_contig_vs_transposed_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0135539Z   test_contig_vs_transposed_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0135697Z   test_contig_vs_transposed_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0135852Z   test_contig_vs_transposed_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0136006Z   test_contig_vs_transposed_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0136163Z   test_contig_vs_transposed_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0136315Z   test_contig_vs_transposed_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0136472Z   test_contig_vs_transposed_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0136625Z   test_contig_vs_transposed_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0136769Z   test_contig_vs_transposed_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0136923Z   test_contig_vs_transposed_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0137080Z   test_contig_vs_transposed_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0137236Z   test_contig_vs_transposed_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0137388Z   test_contig_vs_transposed_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0137544Z   test_contig_vs_transposed_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0137700Z   test_contig_vs_transposed_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0137849Z   test_contig_vs_transposed_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0137999Z   test_contig_vs_transposed_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0138136Z   test_contig_vs_transposed_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0138286Z   test_contig_vs_transposed_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0138437Z   test_contig_vs_transposed_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0138593Z   test_contig_vs_transposed_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0138780Z   test_contig_vs_transposed_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0138935Z   test_contig_vs_transposed_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0139115Z   test_contig_vs_transposed_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0139268Z   test_contig_vs_transposed_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0139403Z   test_contig_vs_transposed_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0139554Z   test_contig_vs_transposed_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0139704Z   test_contig_vs_transposed_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0139854Z   test_contig_vs_transposed_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0140001Z   test_contig_vs_transposed_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0140150Z   test_contig_vs_transposed_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0140315Z   test_contig_vs_transposed_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0140472Z   test_contig_vs_transposed_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0140639Z   test_contig_vs_transposed_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0140791Z   test_contig_vs_transposed_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0140954Z   test_contig_vs_transposed_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0141116Z   test_contig_vs_transposed_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0141277Z   test_contig_vs_transposed_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0141436Z   test_contig_vs_transposed_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0141596Z   test_contig_vs_transposed_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0141754Z   test_contig_vs_transposed_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0141911Z   test_contig_vs_transposed_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0142054Z   test_contig_vs_transposed_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0142208Z   test_contig_vs_transposed_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0142360Z   test_contig_vs_transposed_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0142513Z   test_contig_vs_transposed_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0142664Z   test_contig_vs_transposed_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0142817Z   test_contig_vs_transposed_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0142970Z   test_contig_vs_transposed_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0143120Z   test_contig_vs_transposed_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0143268Z   test_contig_vs_transposed_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0143424Z   test_contig_vs_transposed_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0143591Z   test_contig_vs_transposed_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0143758Z   test_contig_vs_transposed_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0143957Z   test_contig_vs_transposed_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0144123Z   test_contig_vs_transposed_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0144346Z   test_contig_vs_transposed_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0144523Z   test_contig_vs_transposed_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0144693Z   test_contig_vs_transposed_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0144862Z   test_contig_vs_transposed_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0145005Z   test_contig_vs_transposed_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0145156Z   test_contig_vs_transposed_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0145314Z   test_contig_vs_transposed_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0145471Z   test_contig_vs_transposed_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0145626Z   test_contig_vs_transposed_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0145781Z   test_contig_vs_transposed_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0145931Z   test_contig_vs_transposed_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0146080Z   test_contig_vs_transposed_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0146217Z   test_contig_vs_transposed_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0146368Z   test_contig_vs_transposed_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0146519Z   test_contig_vs_transposed_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0146676Z   test_contig_vs_transposed_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0146827Z   test_contig_vs_transposed_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0146983Z   test_contig_vs_transposed_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0147136Z   test_contig_vs_transposed_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.0147291Z   test_contig_vs_transposed_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0147439Z   test_contig_vs_transposed_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0147577Z   test_contig_vs_transposed_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0147726Z   test_contig_vs_transposed_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0147878Z   test_contig_vs_transposed_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0148027Z   test_contig_vs_transposed_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0148176Z   test_contig_vs_transposed_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0148326Z   test_contig_vs_transposed_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0148475Z   test_contig_vs_transposed_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0148630Z   test_contig_vs_transposed_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0148769Z   test_contig_vs_transposed_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0148927Z   test_contig_vs_transposed_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0149080Z   test_contig_vs_transposed_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0149261Z   test_contig_vs_transposed_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0149437Z   test_contig_vs_transposed_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0149587Z   test_contig_vs_transposed_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0149736Z   test_contig_vs_transposed_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0149885Z   test_contig_vs_transposed_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0150033Z   test_contig_vs_transposed_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0150172Z   test_contig_vs_transposed_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0150321Z   test_contig_vs_transposed_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0150479Z   test_contig_vs_transposed_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0150635Z   test_contig_vs_transposed_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0150799Z   test_contig_vs_transposed_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0150959Z   test_contig_vs_transposed_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0151114Z   test_contig_vs_transposed_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0151269Z   test_contig_vs_transposed_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0151410Z   test_contig_vs_transposed_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0151563Z   test_contig_vs_transposed_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0151714Z   test_contig_vs_transposed_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0151869Z   test_contig_vs_transposed_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0152021Z   test_contig_vs_transposed_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0152173Z   test_contig_vs_transposed_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0152322Z   test_contig_vs_transposed_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0152473Z   test_contig_vs_transposed_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0152623Z   test_contig_vs_transposed_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0152761Z   test_contig_vs_transposed_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0152911Z   test_contig_vs_transposed_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0153061Z   test_contig_vs_transposed_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0153210Z   test_contig_vs_transposed_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0153453Z   test_contig_vs_transposed_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0153601Z   test_contig_vs_transposed_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0153761Z   test_contig_vs_transposed_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0153912Z   test_contig_vs_transposed_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0154055Z   test_contig_vs_transposed_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0154211Z   test_contig_vs_transposed_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0154363Z   test_contig_vs_transposed_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0154560Z   test_contig_vs_transposed_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0154751Z   test_contig_vs_transposed_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0154904Z   test_contig_vs_transposed_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0155053Z   test_contig_vs_transposed_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0155201Z   test_contig_vs_transposed_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0155348Z   test_contig_vs_transposed_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0155486Z   test_contig_vs_transposed_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0155640Z   test_contig_vs_transposed_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0155796Z   test_contig_vs_transposed_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.0155944Z   test_contig_vs_transposed_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0156097Z   test_contig_vs_transposed_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0156245Z   test_contig_vs_transposed_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0156393Z   test_contig_vs_transposed_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0156541Z   test_contig_vs_transposed_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0156676Z   test_contig_vs_transposed_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0156823Z   test_contig_vs_transposed_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0156973Z   test_contig_vs_transposed_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0157125Z   test_contig_vs_transposed_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0157281Z   test_contig_vs_transposed_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.0157439Z   test_contig_vs_transposed_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.0157589Z   test_contig_vs_transposed_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0157740Z   test_contig_vs_transposed_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0157891Z   test_contig_vs_transposed_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0158026Z   test_contig_vs_transposed_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0158177Z   test_contig_vs_transposed_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0158325Z   test_contig_vs_transposed_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0158475Z   test_contig_vs_transposed_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0158629Z   test_contig_vs_transposed_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0158775Z   test_contig_vs_transposed_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0158930Z   test_contig_vs_transposed_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.0159085Z   test_contig_vs_transposed_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0159223Z   test_contig_vs_transposed_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0159372Z   test_contig_vs_transposed_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0159520Z   test_contig_vs_transposed_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0159699Z   test_contig_vs_transposed_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0159846Z   test_contig_vs_transposed_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0160018Z   test_contig_vs_transposed_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0160167Z   test_contig_vs_transposed_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0160330Z   test_contig_vs_transposed_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0160497Z   test_contig_vs_transposed_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.0160647Z   test_contig_vs_transposed_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0160810Z   test_contig_vs_transposed_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0160972Z   test_contig_vs_transposed_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0161129Z   test_contig_vs_transposed_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0161291Z   test_contig_vs_transposed_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.0161449Z   test_contig_vs_transposed_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.0161612Z   test_contig_vs_transposed_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0161777Z   test_contig_vs_transposed_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0161943Z   test_contig_vs_transposed_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0162097Z   test_contig_vs_transposed_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0162259Z   test_contig_vs_transposed_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0162416Z   test_contig_vs_transposed_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0162580Z   test_contig_vs_transposed_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0162736Z   test_contig_vs_transposed_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0162896Z   test_contig_vs_transposed_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0163062Z   test_contig_vs_transposed_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0163229Z   test_contig_vs_transposed_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0163511Z   test_contig_vs_transposed_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0163727Z   test_contig_vs_transposed_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0163889Z   test_contig_vs_transposed_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0164057Z   test_contig_vs_transposed_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0164218Z   test_contig_vs_transposed_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0164379Z   test_contig_vs_transposed_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0164545Z   test_contig_vs_transposed_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0164708Z   test_contig_vs_transposed_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0164873Z   test_contig_vs_transposed_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0165091Z   test_contig_vs_transposed_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0165268Z   test_contig_vs_transposed_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0165435Z   test_contig_vs_transposed_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0165594Z   test_contig_vs_transposed_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0165760Z   test_contig_vs_transposed_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0165926Z   test_contig_vs_transposed_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0166091Z   test_contig_vs_transposed_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0166253Z   test_contig_vs_transposed_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0166413Z   test_contig_vs_transposed_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0166558Z   test_contig_vs_transposed_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0166722Z   test_contig_vs_transposed_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0166879Z   test_contig_vs_transposed_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0167043Z   test_contig_vs_transposed_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0167202Z   test_contig_vs_transposed_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0167367Z   test_contig_vs_transposed_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0167525Z   test_contig_vs_transposed_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0167688Z   test_contig_vs_transposed_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0167851Z   test_contig_vs_transposed_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0167998Z   test_contig_vs_transposed_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0168155Z   test_contig_vs_transposed_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0168314Z   test_contig_vs_transposed_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0168473Z   test_contig_vs_transposed_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0168636Z   test_contig_vs_transposed_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0168796Z   test_contig_vs_transposed_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0168960Z   test_contig_vs_transposed_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0169122Z   test_contig_vs_transposed_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0169281Z   test_contig_vs_transposed_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0169426Z   test_contig_vs_transposed_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0169583Z   test_contig_vs_transposed_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0169747Z   test_contig_vs_transposed_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0169905Z   test_contig_vs_transposed_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0170062Z   test_contig_vs_transposed_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0170256Z   test_contig_vs_transposed_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0170442Z   test_contig_vs_transposed_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0170600Z   test_contig_vs_transposed_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0170757Z   test_contig_vs_transposed_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0170902Z   test_contig_vs_transposed_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0171059Z   test_contig_vs_transposed_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0171214Z   test_contig_vs_transposed_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0171371Z   test_contig_vs_transposed_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0171530Z   test_contig_vs_transposed_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0171686Z   test_contig_vs_transposed_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0171842Z   test_contig_vs_transposed_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0171996Z   test_contig_vs_transposed_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0172139Z   test_contig_vs_transposed_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0172292Z   test_contig_vs_transposed_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0172449Z   test_contig_vs_transposed_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0172608Z   test_contig_vs_transposed_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0172769Z   test_contig_vs_transposed_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0172924Z   test_contig_vs_transposed_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0173086Z   test_contig_vs_transposed_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0173240Z   test_contig_vs_transposed_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0173394Z   test_contig_vs_transposed_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0173537Z   test_contig_vs_transposed_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0173702Z   test_contig_vs_transposed_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0173869Z   test_contig_vs_transposed_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0174037Z   test_contig_vs_transposed_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0174201Z   test_contig_vs_transposed_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0174362Z   test_contig_vs_transposed_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0174520Z   test_contig_vs_transposed_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0174682Z   test_contig_vs_transposed_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0174838Z   test_contig_vs_transposed_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0175001Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0175179Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0175394Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0175598Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0175774Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0175948Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0176120Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0176293Z   test_contig_vs_transposed_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0176466Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0176633Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0176811Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0176986Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0177159Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0177331Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0177502Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.0177672Z   test_contig_vs_transposed_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0177844Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0178019Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0178184Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0178356Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0178526Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0178698Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0178871Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0179039Z   test_contig_vs_transposed_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0179214Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0179390Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0179563Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0179733Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0179890Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0180063Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0180233Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0180437Z   test_contig_vs_transposed_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0180601Z   test_contig_vs_transposed_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0180787Z   test_contig_vs_transposed_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0180952Z   test_contig_vs_transposed_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0181111Z   test_contig_vs_transposed_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0181271Z   test_contig_vs_transposed_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0181419Z   test_contig_vs_transposed_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0181577Z   test_contig_vs_transposed_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0181736Z   test_contig_vs_transposed_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0181892Z   test_contig_vs_transposed_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0182055Z   test_contig_vs_transposed_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0182218Z   test_contig_vs_transposed_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0182375Z   test_contig_vs_transposed_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0182535Z   test_contig_vs_transposed_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0182681Z   test_contig_vs_transposed_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0182843Z   test_contig_vs_transposed_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0183005Z   test_contig_vs_transposed_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0183161Z   test_contig_vs_transposed_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0183360Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.136s)
2023-01-11T21:23:12.0183555Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0183750Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0183942Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.0184134Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0184326Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0184501Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0184687Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0184872Z   test_contig_vs_transposed_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0185057Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0185240Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0185426Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0185642Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0185850Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0186023Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0186191Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0186364Z   test_contig_vs_transposed_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0186540Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0186723Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0186911Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0187094Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0187270Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0187445Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0187624Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.012s)
2023-01-11T21:23:12.0187797Z   test_contig_vs_transposed_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0187961Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0188141Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0188320Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0188497Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0188672Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0188848Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0189023Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0189196Z   test_contig_vs_transposed_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.0189403Z   test_contig_vs_transposed_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0189541Z   test_contig_vs_transposed_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.011s)
2023-01-11T21:23:12.0189700Z   test_contig_vs_transposed_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0189855Z   test_contig_vs_transposed_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.0190007Z   test_contig_vs_transposed_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0190157Z   test_contig_vs_transposed_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0190306Z   test_contig_vs_transposed_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0190456Z   test_contig_vs_transposed_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0190603Z   test_contig_vs_transposed_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0190791Z   test_contig_vs_transposed_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0190965Z   test_contig_vs_transposed_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0191122Z   test_contig_vs_transposed_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0191275Z   test_contig_vs_transposed_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0191433Z   test_contig_vs_transposed_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.0191591Z   test_contig_vs_transposed_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0191744Z   test_contig_vs_transposed_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.0191896Z   test_contig_vs_transposed_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0192049Z   test_contig_vs_transposed_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0192188Z   test_contig_vs_transposed_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0192341Z   test_contig_vs_transposed_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0192490Z   test_contig_vs_transposed_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0192640Z   test_contig_vs_transposed_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0192791Z   test_contig_vs_transposed_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0192943Z   test_contig_vs_transposed_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0193092Z   test_contig_vs_transposed_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0193316Z   test_contig_vs_transposed_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.0193475Z   test_contig_vs_transposed_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0193617Z   test_contig_vs_transposed_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0193770Z   test_contig_vs_transposed_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0193918Z   test_contig_vs_transposed_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0194066Z   test_contig_vs_transposed_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0194214Z   test_contig_vs_transposed_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0194363Z   test_contig_vs_transposed_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0194509Z   test_contig_vs_transposed_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0194663Z   test_contig_vs_transposed_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0194804Z   test_contig_vs_transposed_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0194962Z   test_contig_vs_transposed_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.0195116Z   test_contig_vs_transposed_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.0195266Z   test_contig_vs_transposed_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0195416Z   test_contig_vs_transposed_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0195565Z   test_contig_vs_transposed_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0195715Z   test_contig_vs_transposed_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0195863Z   test_contig_vs_transposed_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0196048Z   test_contig_vs_transposed_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0196183Z   test_contig_vs_transposed_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.0196368Z   test_contig_vs_transposed_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0196522Z   test_contig_vs_transposed_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0196675Z   test_contig_vs_transposed_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0196825Z   test_contig_vs_transposed_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0196973Z   test_contig_vs_transposed_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0197123Z   test_contig_vs_transposed_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0197271Z   test_contig_vs_transposed_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0197410Z   test_contig_vs_transposed_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0197546Z   test_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0197681Z   test_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0197825Z   test_digamma_special_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0197967Z   test_digamma_special_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0198097Z   test_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0198619Z   test_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:2846: RuntimeWarning: invalid value encountered in exp
2023-01-11T21:23:12.0198697Z   np_result = np_fn(a)
2023-01-11T21:23:12.0198751Z ok (0.005s)
2023-01-11T21:23:12.0198886Z   test_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0199015Z   test_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0199143Z   test_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0199326Z   test_exp_slow_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Insufficient memory on linux.(2|4)xlarge (0.001s)
2023-01-11T21:23:12.0199474Z   test_float_domains_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0199620Z   test_float_domains_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0199760Z   test_float_domains_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0199895Z   test_float_domains_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0200040Z   test_float_domains_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0200184Z   test_float_domains_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0200323Z   test_float_domains_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0200465Z   test_float_domains_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0200603Z   test_float_domains_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0200748Z   test_float_domains_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0200889Z   test_float_domains_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0201025Z   test_float_domains_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0201161Z   test_float_domains_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0201308Z   test_float_domains_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0201481Z   test_float_domains_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0201621Z   test_float_domains_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0201792Z   test_float_domains_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0201938Z   test_float_domains_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202078Z   test_float_domains_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202218Z   test_float_domains_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202345Z   test_float_domains_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202483Z   test_float_domains_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202627Z   test_float_domains_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202769Z   test_float_domains_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0202907Z   test_float_domains_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0203052Z   test_float_domains_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0203190Z   test_float_domains_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0203334Z   test_float_domains_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0203652Z   test_float_domains_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0203808Z   test_float_domains_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0203990Z   test_float_domains_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0204171Z   test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0204352Z   test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0204532Z   test_float_domains_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0204709Z   test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0204882Z   test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0205059Z   test_float_domains_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0205223Z   test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0205398Z   test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0205548Z   test_float_domains_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0205692Z   test_float_domains_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0205834Z   test_float_domains_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0205988Z   test_float_domains_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0206141Z   test_float_domains_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0206282Z   test_float_domains_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0206425Z   test_float_domains_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0206554Z   test_float_domains_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0206694Z   test_frexp_assert_raises_cpu (__main__.TestUnaryUfuncsCPU) ... ok (0.369s)
2023-01-11T21:23:12.0206880Z   test_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0207011Z   test_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0207176Z   test_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0207319Z   test_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0207457Z   test_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0207593Z   test_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0207733Z   test_hardshrink_edge_cases_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0207883Z   test_hardshrink_edge_cases_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0208033Z   test_hardshrink_edge_cases_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0208186Z   test_hardsigmoid_backward_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0208335Z   test_hardsigmoid_backward_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0208482Z   test_hardsigmoid_backward_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0208623Z   test_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0208762Z   test_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0208888Z   test_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0209024Z   test_hardswish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0209157Z   test_hardswish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0209291Z   test_hardswish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0209426Z   test_i0_range1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0209560Z   test_i0_range1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0209688Z   test_i0_range1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0209822Z   test_i0_range2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0209938Z   test_i0_range2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0210065Z   test_i0_range2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0210191Z   test_i0_range3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0210328Z   test_i0_special_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0210460Z   test_i0_special_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0210592Z   test_i0_special_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0210733Z   test_igamma_common_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.0210875Z   test_igamma_common_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.0211037Z   test_igamma_common_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.0211176Z   test_igamma_common_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.0211322Z   test_igamma_edge_cases_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0211468Z   test_igamma_edge_cases_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0211608Z   test_igamma_edge_cases_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0211744Z   test_igamma_edge_cases_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0211887Z   test_igammac_common_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.196s)
2023-01-11T21:23:12.0212028Z   test_igammac_common_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.198s)
2023-01-11T21:23:12.0212190Z   test_igammac_common_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.196s)
2023-01-11T21:23:12.0212331Z   test_igammac_common_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.199s)
2023-01-11T21:23:12.0212519Z   test_igammac_edge_cases_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0212664Z   test_igammac_edge_cases_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0212804Z   test_igammac_edge_cases_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0212941Z   test_igammac_edge_cases_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0213109Z   test_isposinf_isneginf_non_boolean_output_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0213283Z   test_isposinf_isneginf_non_boolean_output_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0213452Z   test_isposinf_isneginf_non_boolean_output_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0213609Z   test_isposinf_isneginf_non_boolean_output_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0213773Z   test_isposinf_isneginf_non_boolean_output_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0213932Z   test_isposinf_isneginf_non_boolean_output_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0214094Z   test_isposinf_isneginf_non_boolean_output_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0214298Z   test_isposinf_isneginf_non_boolean_output_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0214454Z   test_isposinf_isneginf_non_boolean_output_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0214614Z   test_isposinf_isneginf_non_boolean_output_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0214771Z   test_isposinf_isneginf_non_boolean_output_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.007s)
2023-01-11T21:23:12.0214906Z   test_log1p_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0215052Z   test_log1p_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0215252Z   test_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... test_unary_ufuncs.py:1063: RuntimeWarning: overflow encountered in exp
2023-01-11T21:23:12.0215389Z   expected_output_np = input_np * np.tanh(np.log1p(np.exp(input_np)))
2023-01-11T21:23:12.0215456Z ok (0.002s)
2023-01-11T21:23:12.0215588Z   test_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0215725Z   test_nan_to_num_bfloat16_cpu (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.0215857Z   test_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0215978Z   test_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0216116Z   test_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0216248Z   test_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0216384Z   test_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0216514Z   test_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0216643Z   test_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0216774Z   test_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0216902Z   test_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0217033Z   test_non_contig_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0217179Z   test_non_contig_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0217321Z   test_non_contig_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0217497Z   test_non_contig_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0217637Z   test_non_contig_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0217810Z   test_non_contig_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0217950Z   test_non_contig_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0218086Z   test_non_contig_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0218208Z   test_non_contig_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0218341Z   test_non_contig_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0218477Z   test_non_contig_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0218609Z   test_non_contig_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0218753Z   test_non_contig_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0218891Z   test_non_contig_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219043Z   test_non_contig_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219188Z   test_non_contig_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219329Z   test_non_contig_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219457Z   test_non_contig_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219594Z   test_non_contig_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219731Z   test_non_contig_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0219866Z   test_non_contig_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220001Z   test_non_contig_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220137Z   test_non_contig_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220279Z   test_non_contig_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220419Z   test_non_contig_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220554Z   test_non_contig_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220698Z   test_non_contig_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220839Z   test_non_contig_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0220980Z   test_non_contig_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221119Z   test_non_contig_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221259Z   test_non_contig_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221399Z   test_non_contig_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221536Z   test_non_contig_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221662Z   test_non_contig_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221807Z   test_non_contig_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0221947Z   test_non_contig_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222092Z   test_non_contig_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222236Z   test_non_contig_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222376Z   test_non_contig_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222516Z   test_non_contig_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222690Z   test_non_contig_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222816Z   test_non_contig_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0222981Z   test_non_contig_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223121Z   test_non_contig_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223259Z   test_non_contig_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223395Z   test_non_contig_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223534Z   test_non_contig_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223672Z   test_non_contig_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223817Z   test_non_contig_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0223949Z   test_non_contig_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224093Z   test_non_contig_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224234Z   test_non_contig_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224373Z   test_non_contig_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224507Z   test_non_contig_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224642Z   test_non_contig_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224777Z   test_non_contig_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0224912Z   test_non_contig_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225041Z   test_non_contig_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225177Z   test_non_contig_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225324Z   test_non_contig_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225468Z   test_non_contig_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225608Z   test_non_contig_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225749Z   test_non_contig_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0225886Z   test_non_contig_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226022Z   test_non_contig_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226145Z   test_non_contig_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226283Z   test_non_contig_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226418Z   test_non_contig_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226561Z   test_non_contig_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226698Z   test_non_contig_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226844Z   test_non_contig_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0226987Z   test_non_contig_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0227126Z   test_non_contig_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0227265Z   test_non_contig_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0227390Z   test_non_contig_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0227525Z   test_non_contig_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0227660Z   test_non_contig_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0227795Z   test_non_contig_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228007Z   test_non_contig_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228151Z   test_non_contig_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228324Z   test_non_contig_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228475Z   test_non_contig_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228607Z   test_non_contig_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228748Z   test_non_contig_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0228888Z   test_non_contig_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229028Z   test_non_contig_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229164Z   test_non_contig_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229304Z   test_non_contig_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229441Z   test_non_contig_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229579Z   test_non_contig_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229713Z   test_non_contig_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0229854Z   test_non_contig_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230002Z   test_non_contig_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230147Z   test_non_contig_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230293Z   test_non_contig_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230440Z   test_non_contig_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230582Z   test_non_contig_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230721Z   test_non_contig_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230852Z   test_non_contig_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0230988Z   test_non_contig_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0231122Z   test_non_contig_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0231261Z   test_non_contig_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0231400Z   test_non_contig_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0231543Z   test_non_contig_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0231687Z   test_non_contig_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0231827Z   test_non_contig_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0231951Z   test_non_contig_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232095Z   test_non_contig_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232232Z   test_non_contig_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232370Z   test_non_contig_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232507Z   test_non_contig_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232651Z   test_non_contig_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232789Z   test_non_contig_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0232927Z   test_non_contig_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0233100Z   test_non_contig_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0233306Z   test_non_contig_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0233483Z   test_non_contig_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0233622Z   test_non_contig_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0233759Z   test_non_contig_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0233894Z   test_non_contig_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234028Z   test_non_contig_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234162Z   test_non_contig_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234304Z   test_non_contig_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234426Z   test_non_contig_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234573Z   test_non_contig_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234715Z   test_non_contig_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234854Z   test_non_contig_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0234993Z   test_non_contig_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235130Z   test_non_contig_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235265Z   test_non_contig_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235400Z   test_non_contig_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235523Z   test_non_contig_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235657Z   test_non_contig_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235792Z   test_non_contig_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0235938Z   test_non_contig_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0236080Z   test_non_contig_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0236230Z   test_non_contig_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0236377Z   test_non_contig_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0236518Z   test_non_contig_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0236650Z   test_non_contig_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0236790Z   test_non_contig_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0236927Z   test_non_contig_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237068Z   test_non_contig_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237209Z   test_non_contig_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237351Z   test_non_contig_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237492Z   test_non_contig_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237628Z   test_non_contig_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237755Z   test_non_contig_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0237894Z   test_non_contig_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0238031Z   test_non_contig_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0238166Z   test_non_contig_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0238334Z   test_non_contig_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0238469Z   test_non_contig_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0238632Z   test_non_contig_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0238767Z   test_non_contig_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0238912Z   test_non_contig_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239041Z   test_non_contig_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239187Z   test_non_contig_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239334Z   test_non_contig_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239476Z   test_non_contig_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239620Z   test_non_contig_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239760Z   test_non_contig_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0239898Z   test_non_contig_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240037Z   test_non_contig_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240165Z   test_non_contig_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240304Z   test_non_contig_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240441Z   test_non_contig_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240579Z   test_non_contig_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240721Z   test_non_contig_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0240858Z   test_non_contig_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241006Z   test_non_contig_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241150Z   test_non_contig_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241280Z   test_non_contig_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241422Z   test_non_contig_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241561Z   test_non_contig_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241700Z   test_non_contig_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241840Z   test_non_contig_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0241979Z   test_non_contig_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0242116Z   test_non_contig_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0242258Z   test_non_contig_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0242382Z   test_non_contig_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0242525Z   test_non_contig_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0242663Z   test_non_contig_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0242806Z   test_non_contig_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0242949Z   test_non_contig_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0243088Z   test_non_contig_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0243230Z   test_non_contig_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0243506Z   test_non_contig_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0243722Z   test_non_contig_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0243862Z   test_non_contig_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244037Z   test_non_contig_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244177Z   test_non_contig_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244313Z   test_non_contig_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244446Z   test_non_contig_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244588Z   test_non_contig_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244723Z   test_non_contig_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0244854Z   test_non_contig_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0244995Z   test_non_contig_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0245136Z   test_non_contig_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0245277Z   test_non_contig_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0245415Z   test_non_contig_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0245554Z   test_non_contig_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0245690Z   test_non_contig_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0245826Z   test_non_contig_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0245948Z   test_non_contig_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0246082Z   test_non_contig_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0246216Z   test_non_contig_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0246372Z   test_non_contig_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0246521Z   test_non_contig_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0246678Z   test_non_contig_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0246834Z   test_non_contig_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0246986Z   test_non_contig_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0247137Z   test_non_contig_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0247270Z   test_non_contig_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0247419Z   test_non_contig_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0247569Z   test_non_contig_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0247718Z   test_non_contig_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0247867Z   test_non_contig_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0248015Z   test_non_contig_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0248160Z   test_non_contig_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0248302Z   test_non_contig_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0248425Z   test_non_contig_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0248569Z   test_non_contig_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0248710Z   test_non_contig_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0248845Z   test_non_contig_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249018Z   test_non_contig_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249155Z   test_non_contig_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249315Z   test_non_contig_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249450Z   test_non_contig_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249573Z   test_non_contig_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249706Z   test_non_contig_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249847Z   test_non_contig_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0249982Z   test_non_contig_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250127Z   test_non_contig_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250271Z   test_non_contig_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250412Z   test_non_contig_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250551Z   test_non_contig_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250676Z   test_non_contig_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250811Z   test_non_contig_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0250946Z   test_non_contig_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251082Z   test_non_contig_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251215Z   test_non_contig_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251363Z   test_non_contig_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251504Z   test_non_contig_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251651Z   test_non_contig_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251794Z   test_non_contig_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0251919Z   test_non_contig_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0252059Z   test_non_contig_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0252200Z   test_non_contig_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0252341Z   test_non_contig_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0252478Z   test_non_contig_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0252617Z   test_non_contig_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0252763Z   test_non_contig_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0252906Z   test_non_contig_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253041Z   test_non_contig_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253183Z   test_non_contig_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253323Z   test_non_contig_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253463Z   test_non_contig_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253603Z   test_non_contig_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253742Z   test_non_contig_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0253882Z   test_non_contig_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254027Z   test_non_contig_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254183Z   test_non_contig_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254332Z   test_non_contig_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254506Z   test_non_contig_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254649Z   test_non_contig_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254793Z   test_non_contig_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0254933Z   test_non_contig_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255071Z   test_non_contig_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255212Z   test_non_contig_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255338Z   test_non_contig_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255479Z   test_non_contig_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255618Z   test_non_contig_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255759Z   test_non_contig_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0255896Z   test_non_contig_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256031Z   test_non_contig_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256169Z   test_non_contig_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256308Z   test_non_contig_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256430Z   test_non_contig_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256566Z   test_non_contig_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256697Z   test_non_contig_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256834Z   test_non_contig_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0256967Z   test_non_contig_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257107Z   test_non_contig_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257242Z   test_non_contig_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257379Z   test_non_contig_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257503Z   test_non_contig_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257640Z   test_non_contig_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257776Z   test_non_contig_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0257911Z   test_non_contig_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258047Z   test_non_contig_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258182Z   test_non_contig_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258328Z   test_non_contig_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258467Z   test_non_contig_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258611Z   test_non_contig_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258737Z   test_non_contig_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0258875Z   test_non_contig_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259013Z   test_non_contig_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259150Z   test_non_contig_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259319Z   test_non_contig_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259456Z   test_non_contig_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259625Z   test_non_contig_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259764Z   test_non_contig_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0259887Z   test_non_contig_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260024Z   test_non_contig_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260162Z   test_non_contig_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260298Z   test_non_contig_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260435Z   test_non_contig_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260570Z   test_non_contig_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260705Z   test_non_contig_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260843Z   test_non_contig_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0260969Z   test_non_contig_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261107Z   test_non_contig_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261250Z   test_non_contig_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261392Z   test_non_contig_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261531Z   test_non_contig_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261668Z   test_non_contig_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261806Z   test_non_contig_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0261943Z   test_non_contig_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0262063Z   test_non_contig_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0262200Z   test_non_contig_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0262332Z   test_non_contig_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0262483Z   test_non_contig_expand_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0262635Z   test_non_contig_expand_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0262787Z   test_non_contig_expand_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0262938Z   test_non_contig_expand_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263086Z   test_non_contig_expand_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263223Z   test_non_contig_expand_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263371Z   test_non_contig_expand_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263517Z   test_non_contig_expand_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263659Z   test_non_contig_expand_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263797Z   test_non_contig_expand_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0263939Z   test_non_contig_expand_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0264080Z   test_non_contig_expand_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0264227Z   test_non_contig_expand_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0264360Z   test_non_contig_expand_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0264546Z   test_non_contig_expand_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0264698Z   test_non_contig_expand_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0264886Z   test_non_contig_expand_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265038Z   test_non_contig_expand_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265184Z   test_non_contig_expand_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265325Z   test_non_contig_expand_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265465Z   test_non_contig_expand_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265610Z   test_non_contig_expand_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265738Z   test_non_contig_expand_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0265891Z   test_non_contig_expand_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0266037Z   test_non_contig_expand_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0266194Z   test_non_contig_expand_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0266346Z   test_non_contig_expand_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0266493Z   test_non_contig_expand_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0266642Z   test_non_contig_expand_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0266791Z   test_non_contig_expand_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0266924Z   test_non_contig_expand_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0267072Z   test_non_contig_expand_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0267220Z   test_non_contig_expand_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0267367Z   test_non_contig_expand_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0267517Z   test_non_contig_expand_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0267662Z   test_non_contig_expand_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0267816Z   test_non_contig_expand_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0267969Z   test_non_contig_expand_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0268118Z   test_non_contig_expand_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0268254Z   test_non_contig_expand_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0268402Z   test_non_contig_expand_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0268547Z   test_non_contig_expand_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0268696Z   test_non_contig_expand_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0268842Z   test_non_contig_expand_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0268988Z   test_non_contig_expand_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0269131Z   test_non_contig_expand_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0269280Z   test_non_contig_expand_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0269412Z   test_non_contig_expand_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0269562Z   test_non_contig_expand_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0269744Z   test_non_contig_expand_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0269892Z   test_non_contig_expand_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270073Z   test_non_contig_expand_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270222Z   test_non_contig_expand_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270365Z   test_non_contig_expand_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270503Z   test_non_contig_expand_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270635Z   test_non_contig_expand_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270774Z   test_non_contig_expand_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0270925Z   test_non_contig_expand_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0271074Z   test_non_contig_expand_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0271226Z   test_non_contig_expand_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0271377Z   test_non_contig_expand_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0271526Z   test_non_contig_expand_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0271674Z   test_non_contig_expand_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0271818Z   test_non_contig_expand_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0271954Z   test_non_contig_expand_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0272099Z   test_non_contig_expand_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0272243Z   test_non_contig_expand_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0272391Z   test_non_contig_expand_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0272541Z   test_non_contig_expand_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0272687Z   test_non_contig_expand_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0272838Z   test_non_contig_expand_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0272988Z   test_non_contig_expand_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0273125Z   test_non_contig_expand_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0273339Z   test_non_contig_expand_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0273492Z   test_non_contig_expand_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0273634Z   test_non_contig_expand_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0273771Z   test_non_contig_expand_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0273916Z   test_non_contig_expand_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0274056Z   test_non_contig_expand_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0274205Z   test_non_contig_expand_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0274351Z   test_non_contig_expand_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0274495Z   test_non_contig_expand_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0274646Z   test_non_contig_expand_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0274796Z   test_non_contig_expand_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0274980Z   test_non_contig_expand_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0275126Z   test_non_contig_expand_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0275300Z   test_non_contig_expand_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0275448Z   test_non_contig_expand_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0275592Z   test_non_contig_expand_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0275726Z   test_non_contig_expand_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0275880Z   test_non_contig_expand_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276028Z   test_non_contig_expand_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276187Z   test_non_contig_expand_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276346Z   test_non_contig_expand_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276502Z   test_non_contig_expand_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276652Z   test_non_contig_expand_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276802Z   test_non_contig_expand_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0276948Z   test_non_contig_expand_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277083Z   test_non_contig_expand_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277230Z   test_non_contig_expand_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277377Z   test_non_contig_expand_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277525Z   test_non_contig_expand_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277672Z   test_non_contig_expand_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277826Z   test_non_contig_expand_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0277978Z   test_non_contig_expand_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0278128Z   test_non_contig_expand_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0278264Z   test_non_contig_expand_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0278413Z   test_non_contig_expand_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0278558Z   test_non_contig_expand_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0278706Z   test_non_contig_expand_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0278855Z   test_non_contig_expand_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279009Z   test_non_contig_expand_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279158Z   test_non_contig_expand_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279307Z   test_non_contig_expand_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279441Z   test_non_contig_expand_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279591Z   test_non_contig_expand_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279738Z   test_non_contig_expand_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0279882Z   test_non_contig_expand_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280020Z   test_non_contig_expand_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280189Z   test_non_contig_expand_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280359Z   test_non_contig_expand_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280500Z   test_non_contig_expand_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280648Z   test_non_contig_expand_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280781Z   test_non_contig_expand_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0280931Z   test_non_contig_expand_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281080Z   test_non_contig_expand_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281226Z   test_non_contig_expand_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281377Z   test_non_contig_expand_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281522Z   test_non_contig_expand_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281668Z   test_non_contig_expand_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281807Z   test_non_contig_expand_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0281934Z   test_non_contig_expand_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0282079Z   test_non_contig_expand_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0282217Z   test_non_contig_expand_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0282369Z   test_non_contig_expand_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0282514Z   test_non_contig_expand_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0282675Z   test_non_contig_expand_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0282830Z   test_non_contig_expand_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0282986Z   test_non_contig_expand_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0283137Z   test_non_contig_expand_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0283276Z   test_non_contig_expand_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0283565Z   test_non_contig_expand_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0283740Z   test_non_contig_expand_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0283890Z   test_non_contig_expand_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0284039Z   test_non_contig_expand_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0284188Z   test_non_contig_expand_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0284337Z   test_non_contig_expand_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0284484Z   test_non_contig_expand_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0284619Z   test_non_contig_expand_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0284764Z   test_non_contig_expand_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0284909Z   test_non_contig_expand_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0285049Z   test_non_contig_expand_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0285188Z   test_non_contig_expand_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0285389Z   test_non_contig_expand_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0285528Z   test_non_contig_expand_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0285714Z   test_non_contig_expand_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0285851Z   test_non_contig_expand_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286005Z   test_non_contig_expand_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286160Z   test_non_contig_expand_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286312Z   test_non_contig_expand_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286462Z   test_non_contig_expand_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286612Z   test_non_contig_expand_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286762Z   test_non_contig_expand_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0286911Z   test_non_contig_expand_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287062Z   test_non_contig_expand_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287198Z   test_non_contig_expand_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287346Z   test_non_contig_expand_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287491Z   test_non_contig_expand_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287639Z   test_non_contig_expand_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287786Z   test_non_contig_expand_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0287939Z   test_non_contig_expand_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288091Z   test_non_contig_expand_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288243Z   test_non_contig_expand_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288379Z   test_non_contig_expand_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288529Z   test_non_contig_expand_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288678Z   test_non_contig_expand_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288822Z   test_non_contig_expand_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0288968Z   test_non_contig_expand_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0289112Z   test_non_contig_expand_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0289258Z   test_non_contig_expand_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0289404Z   test_non_contig_expand_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0289560Z   test_non_contig_expand_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0289695Z   test_non_contig_expand_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0289846Z   test_non_contig_expand_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0289996Z   test_non_contig_expand_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0290145Z   test_non_contig_expand_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0290292Z   test_non_contig_expand_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0290438Z   test_non_contig_expand_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0290616Z   test_non_contig_expand_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0290760Z   test_non_contig_expand_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0290916Z   test_non_contig_expand_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0291056Z   test_non_contig_expand_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0291201Z   test_non_contig_expand_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0291339Z   test_non_contig_expand_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0291487Z   test_non_contig_expand_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0291631Z   test_non_contig_expand_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0291781Z   test_non_contig_expand_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0291931Z   test_non_contig_expand_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0292068Z   test_non_contig_expand_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0292217Z   test_non_contig_expand_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0292364Z   test_non_contig_expand_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0292510Z   test_non_contig_expand_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0292651Z   test_non_contig_expand_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0292788Z   test_non_contig_expand_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0292926Z   test_non_contig_expand_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0293068Z   test_non_contig_expand_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0293206Z   test_non_contig_expand_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0293356Z   test_non_contig_expand_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0293514Z   test_non_contig_expand_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0293678Z   test_non_contig_expand_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0293841Z   test_non_contig_expand_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0293999Z   test_non_contig_expand_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0306875Z   test_non_contig_expand_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0307118Z   test_non_contig_expand_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0307296Z   test_non_contig_expand_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0307458Z   test_non_contig_expand_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0307609Z   test_non_contig_expand_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0307767Z   test_non_contig_expand_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0307925Z   test_non_contig_expand_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0308084Z   test_non_contig_expand_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0308236Z   test_non_contig_expand_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0308384Z   test_non_contig_expand_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0308646Z   test_non_contig_expand_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0308800Z   test_non_contig_expand_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0308969Z   test_non_contig_expand_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309118Z   test_non_contig_expand_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309264Z   test_non_contig_expand_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309407Z   test_non_contig_expand_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309547Z   test_non_contig_expand_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309691Z   test_non_contig_expand_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309830Z   test_non_contig_expand_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0309984Z   test_non_contig_expand_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0310132Z   test_non_contig_expand_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0310275Z   test_non_contig_expand_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0310427Z   test_non_contig_expand_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0310575Z   test_non_contig_expand_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0310725Z   test_non_contig_expand_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0310873Z   test_non_contig_expand_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0311015Z   test_non_contig_expand_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0311155Z   test_non_contig_expand_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0311304Z   test_non_contig_expand_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0311433Z   test_non_contig_expand_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0311592Z   test_non_contig_expand_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0311740Z   test_non_contig_expand_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0311894Z   test_non_contig_expand_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312046Z   test_non_contig_expand_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312194Z   test_non_contig_expand_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312346Z   test_non_contig_expand_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312495Z   test_non_contig_expand_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312648Z   test_non_contig_expand_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312786Z   test_non_contig_expand_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0312935Z   test_non_contig_expand_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0313091Z   test_non_contig_expand_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0313321Z   test_non_contig_expand_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0313477Z   test_non_contig_expand_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0313628Z   test_non_contig_expand_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0313777Z   test_non_contig_expand_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0313959Z   test_non_contig_expand_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0314094Z   test_non_contig_expand_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0314296Z   test_non_contig_expand_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0314444Z   test_non_contig_expand_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0314596Z   test_non_contig_expand_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0314745Z   test_non_contig_expand_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0314901Z   test_non_contig_expand_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315056Z   test_non_contig_expand_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315210Z   test_non_contig_expand_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315351Z   test_non_contig_expand_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315505Z   test_non_contig_expand_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315656Z   test_non_contig_expand_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315803Z   test_non_contig_expand_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0315952Z   test_non_contig_expand_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0316099Z   test_non_contig_expand_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0316248Z   test_non_contig_expand_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0316395Z   test_non_contig_expand_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0316542Z   test_non_contig_expand_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0316677Z   test_non_contig_expand_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0316824Z   test_non_contig_expand_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0316970Z   test_non_contig_expand_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317114Z   test_non_contig_expand_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317258Z   test_non_contig_expand_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317397Z   test_non_contig_expand_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317539Z   test_non_contig_expand_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317680Z   test_non_contig_expand_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317815Z   test_non_contig_expand_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0317964Z   test_non_contig_expand_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318113Z   test_non_contig_expand_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318261Z   test_non_contig_expand_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318409Z   test_non_contig_expand_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318549Z   test_non_contig_expand_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318689Z   test_non_contig_expand_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318834Z   test_non_contig_expand_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0318961Z   test_non_contig_expand_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0319114Z   test_non_contig_expand_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0319292Z   test_non_contig_expand_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0319499Z   test_non_contig_expand_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0319651Z   test_non_contig_expand_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0319799Z   test_non_contig_expand_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0319947Z   test_non_contig_expand_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0320093Z   test_non_contig_expand_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0320240Z   test_non_contig_expand_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0320371Z   test_non_contig_expand_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0320525Z   test_non_contig_expand_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0320672Z   test_non_contig_expand_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0320818Z   test_non_contig_expand_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0320967Z   test_non_contig_expand_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321111Z   test_non_contig_expand_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321259Z   test_non_contig_expand_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321400Z   test_non_contig_expand_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321526Z   test_non_contig_expand_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321671Z   test_non_contig_expand_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321814Z   test_non_contig_expand_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0321961Z   test_non_contig_expand_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0322110Z   test_non_contig_expand_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0322262Z   test_non_contig_expand_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0322414Z   test_non_contig_expand_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0322564Z   test_non_contig_expand_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0322711Z   test_non_contig_expand_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0322843Z   test_non_contig_expand_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0322985Z   test_non_contig_expand_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0323127Z   test_non_contig_expand_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0323271Z   test_non_contig_expand_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0323649Z   test_non_contig_expand_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0323807Z   test_non_contig_expand_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0323954Z   test_non_contig_expand_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0324104Z   test_non_contig_expand_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0324241Z   test_non_contig_expand_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0324387Z   test_non_contig_expand_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0324536Z   test_non_contig_expand_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0324741Z   test_non_contig_expand_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0324924Z   test_non_contig_expand_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0325074Z   test_non_contig_expand_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0325224Z   test_non_contig_expand_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0325371Z   test_non_contig_expand_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0325510Z   test_non_contig_expand_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0325662Z   test_non_contig_expand_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0325813Z   test_non_contig_expand_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0325963Z   test_non_contig_expand_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326113Z   test_non_contig_expand_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326263Z   test_non_contig_expand_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326409Z   test_non_contig_expand_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326552Z   test_non_contig_expand_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326693Z   test_non_contig_expand_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326824Z   test_non_contig_expand_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0326964Z   test_non_contig_expand_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0327116Z   test_non_contig_expand_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0327267Z   test_non_contig_expand_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0327422Z   test_non_contig_expand_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0327579Z   test_non_contig_expand_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0327731Z   test_non_contig_expand_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0327881Z   test_non_contig_expand_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328017Z   test_non_contig_expand_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328167Z   test_non_contig_expand_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328312Z   test_non_contig_expand_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328459Z   test_non_contig_expand_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328608Z   test_non_contig_expand_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328755Z   test_non_contig_expand_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0328904Z   test_non_contig_expand_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329054Z   test_non_contig_expand_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329190Z   test_non_contig_expand_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329337Z   test_non_contig_expand_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329482Z   test_non_contig_expand_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329627Z   test_non_contig_expand_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329771Z   test_non_contig_expand_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0329945Z   test_non_contig_expand_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0330117Z   test_non_contig_expand_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0330267Z   test_non_contig_expand_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0330417Z   test_non_contig_expand_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0330550Z   test_non_contig_expand_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0330700Z   test_non_contig_expand_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0330871Z   test_non_contig_expand_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0331040Z   test_non_contig_expand_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0331206Z   test_non_contig_expand_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0331365Z   test_non_contig_expand_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0331516Z   test_non_contig_expand_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0331664Z   test_non_contig_expand_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0331804Z   test_non_contig_expand_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0331958Z   test_non_contig_expand_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0332107Z   test_non_contig_expand_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0332256Z   test_non_contig_expand_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0332401Z   test_non_contig_expand_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0332550Z   test_non_contig_expand_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0332694Z   test_non_contig_expand_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0332835Z   test_non_contig_expand_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0332981Z   test_non_contig_expand_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333109Z   test_non_contig_expand_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333256Z   test_non_contig_expand_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333400Z   test_non_contig_expand_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333544Z   test_non_contig_expand_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333685Z   test_non_contig_expand_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333831Z   test_non_contig_expand_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0333971Z   test_non_contig_expand_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0334108Z   test_non_contig_expand_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0334237Z   test_non_contig_expand_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0334374Z   test_non_contig_expand_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0334527Z   test_non_contig_expand_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0334681Z   test_non_contig_expand_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0334834Z   test_non_contig_expand_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0334981Z   test_non_contig_expand_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0335155Z   test_non_contig_expand_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0335332Z   test_non_contig_expand_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0335471Z   test_non_contig_expand_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0335619Z   test_non_contig_expand_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0335765Z   test_non_contig_expand_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0335912Z   test_non_contig_expand_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336058Z   test_non_contig_expand_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336199Z   test_non_contig_expand_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336338Z   test_non_contig_expand_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336485Z   test_non_contig_expand_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336627Z   test_non_contig_expand_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336770Z   test_non_contig_expand_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0336922Z   test_non_contig_expand_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337082Z   test_non_contig_expand_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337240Z   test_non_contig_expand_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337396Z   test_non_contig_expand_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337549Z   test_non_contig_expand_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337703Z   test_non_contig_expand_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337853Z   test_non_contig_expand_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0337993Z   test_non_contig_expand_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0338144Z   test_non_contig_expand_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0338292Z   test_non_contig_expand_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0338444Z   test_non_contig_expand_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0338591Z   test_non_contig_expand_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0338739Z   test_non_contig_expand_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0338888Z   test_non_contig_expand_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339042Z   test_non_contig_expand_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339196Z   test_non_contig_expand_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339335Z   test_non_contig_expand_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339485Z   test_non_contig_expand_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339635Z   test_non_contig_expand_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339782Z   test_non_contig_expand_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0339930Z   test_non_contig_expand_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0340076Z   test_non_contig_expand_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0340255Z   test_non_contig_expand_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0340400Z   test_non_contig_expand_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0340559Z   test_non_contig_expand_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0340712Z   test_non_contig_expand_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0340858Z   test_non_contig_expand_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341012Z   test_non_contig_expand_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341165Z   test_non_contig_expand_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341314Z   test_non_contig_expand_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341463Z   test_non_contig_expand_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341614Z   test_non_contig_expand_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341761Z   test_non_contig_expand_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0341896Z   test_non_contig_expand_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342043Z   test_non_contig_expand_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342189Z   test_non_contig_expand_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342335Z   test_non_contig_expand_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342492Z   test_non_contig_expand_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342645Z   test_non_contig_expand_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342798Z   test_non_contig_expand_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0342953Z   test_non_contig_expand_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343091Z   test_non_contig_expand_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343242Z   test_non_contig_expand_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343392Z   test_non_contig_expand_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343541Z   test_non_contig_expand_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343690Z   test_non_contig_expand_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343839Z   test_non_contig_expand_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0343995Z   test_non_contig_expand_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0344145Z   test_non_contig_expand_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0344285Z   test_non_contig_expand_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0344436Z   test_non_contig_expand_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0344584Z   test_non_contig_expand_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0344734Z   test_non_contig_expand_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0344883Z   test_non_contig_expand_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345031Z   test_non_contig_expand_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345182Z   test_non_contig_expand_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345330Z   test_non_contig_expand_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345514Z   test_non_contig_expand_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345649Z   test_non_contig_expand_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345831Z   test_non_contig_expand_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0345985Z   test_non_contig_expand_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0346138Z   test_non_contig_expand_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0346286Z   test_non_contig_expand_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0346435Z   test_non_contig_expand_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0346583Z   test_non_contig_expand_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0346736Z   test_non_contig_expand_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0346871Z   test_non_contig_expand_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0347022Z   test_non_contig_expand_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0347171Z   test_non_contig_expand_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0347321Z   test_non_contig_expand_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0347509Z   test_non_contig_expand_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0347694Z   test_non_contig_expand_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0347884Z   test_non_contig_expand_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0348074Z   test_non_contig_expand_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0348259Z   test_non_contig_expand_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0348443Z   test_non_contig_expand_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0348615Z   test_non_contig_expand_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0348797Z   test_non_contig_expand_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0348971Z   test_non_contig_expand_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0349143Z   test_non_contig_expand_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0349324Z   test_non_contig_expand_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0349501Z   test_non_contig_expand_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0349655Z   test_non_contig_expand_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0349805Z   test_non_contig_expand_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0349955Z   test_non_contig_expand_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0350094Z   test_non_contig_expand_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0350243Z   test_non_contig_expand_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0350392Z   test_non_contig_expand_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0350572Z   test_non_contig_expand_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0350720Z   test_non_contig_expand_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0350906Z   test_non_contig_expand_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351059Z   test_non_contig_expand_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351207Z   test_non_contig_expand_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351345Z   test_non_contig_expand_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351497Z   test_non_contig_expand_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351645Z   test_non_contig_expand_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351793Z   test_non_contig_expand_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0351941Z   test_non_contig_expand_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352085Z   test_non_contig_expand_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352233Z   test_non_contig_expand_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352380Z   test_non_contig_expand_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352525Z   test_non_contig_expand_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352663Z   test_non_contig_expand_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352810Z   test_non_contig_expand_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0352964Z   test_non_contig_expand_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0353116Z   test_non_contig_expand_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0353357Z   test_non_contig_expand_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0353514Z   test_non_contig_expand_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0353663Z   test_non_contig_expand_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0353809Z   test_non_contig_expand_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0353941Z   test_non_contig_expand_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354088Z   test_non_contig_expand_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354234Z   test_non_contig_expand_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354384Z   test_non_contig_expand_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354533Z   test_non_contig_expand_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354687Z   test_non_contig_expand_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354842Z   test_non_contig_expand_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0354991Z   test_non_contig_expand_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0355126Z   test_non_contig_expand_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0355270Z   test_non_contig_expand_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0355409Z   test_non_contig_expand_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0355547Z   test_non_contig_expand_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0355693Z   test_non_contig_expand_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0355834Z   test_non_contig_expand_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356014Z   test_non_contig_expand_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356186Z   test_non_contig_expand_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356337Z   test_non_contig_expand_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356474Z   test_non_contig_expand_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356621Z   test_non_contig_expand_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356769Z   test_non_contig_expand_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0356914Z   test_non_contig_expand_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0357056Z   test_non_contig_expand_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0357197Z   test_non_contig_expand_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0357341Z   test_non_contig_expand_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0357483Z   test_non_contig_expand_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0357630Z   test_non_contig_expand_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0357784Z   test_non_contig_expand_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0357945Z   test_non_contig_expand_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0358106Z   test_non_contig_expand_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0358263Z   test_non_contig_expand_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0358420Z   test_non_contig_expand_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0358579Z   test_non_contig_expand_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0358735Z   test_non_contig_expand_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0358889Z   test_non_contig_expand_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0359027Z   test_non_contig_expand_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0359179Z   test_non_contig_expand_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0359328Z   test_non_contig_expand_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0359478Z   test_non_contig_expand_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0359625Z   test_non_contig_expand_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0359776Z   test_non_contig_expand_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0359926Z   test_non_contig_expand_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0360075Z   test_non_contig_expand_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0360210Z   test_non_contig_expand_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0360356Z   test_non_contig_expand_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0360502Z   test_non_contig_expand_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0360648Z   test_non_contig_expand_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0360797Z   test_non_contig_expand_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0360946Z   test_non_contig_expand_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0361127Z   test_non_contig_expand_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0361277Z   test_non_contig_expand_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0361441Z   test_non_contig_expand_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0361593Z   test_non_contig_expand_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0361741Z   test_non_contig_expand_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0361889Z   test_non_contig_expand_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0362034Z   test_non_contig_expand_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0362177Z   test_non_contig_expand_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0362316Z   test_non_contig_expand_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0362464Z   test_non_contig_expand_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0362606Z   test_non_contig_expand_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0362763Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0362936Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0363106Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0363274Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0363593Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0363764Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0363933Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0364101Z   test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0364272Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0364428Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0364598Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0364760Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0364926Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0365091Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0365260Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0365429Z   test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0365598Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0365766Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0365919Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0366084Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0366246Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0366457Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0366623Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0366829Z   test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0366988Z   test_non_contig_expand_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0367142Z   test_non_contig_expand_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0367297Z   test_non_contig_expand_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0367437Z   test_non_contig_expand_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0367586Z   test_non_contig_expand_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0367740Z   test_non_contig_expand_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0367891Z   test_non_contig_expand_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0368040Z   test_non_contig_expand_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0368194Z   test_non_contig_expand_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0368339Z   test_non_contig_expand_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0368488Z   test_non_contig_expand_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0368627Z   test_non_contig_expand_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0368778Z   test_non_contig_expand_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0368929Z   test_non_contig_expand_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0369080Z   test_non_contig_expand_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0369227Z   test_non_contig_expand_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0369375Z   test_non_contig_expand_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0369521Z   test_non_contig_expand_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0369661Z   test_non_contig_expand_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0369800Z   test_non_contig_expand_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0369930Z   test_non_contig_expand_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0370071Z   test_non_contig_expand_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0370239Z   test_non_contig_expand_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0370408Z   test_non_contig_expand_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0370573Z   test_non_contig_expand_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0370733Z   test_non_contig_expand_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0370898Z   test_non_contig_expand_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0371059Z   test_non_contig_expand_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0371221Z   test_non_contig_expand_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0371395Z   test_non_contig_expand_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0371568Z   test_non_contig_expand_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0371774Z   test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0371973Z   test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0372150Z   test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0372323Z   test_non_contig_expand_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0372496Z   test_non_contig_expand_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0372666Z   test_non_contig_expand_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0372822Z   test_non_contig_expand_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0372992Z   test_non_contig_expand_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0373163Z   test_non_contig_expand_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0373331Z   test_non_contig_expand_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0373505Z   test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0373677Z   test_non_contig_expand_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0373848Z   test_non_contig_expand_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0374013Z   test_non_contig_expand_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0374178Z   test_non_contig_expand_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0374326Z   test_non_contig_expand_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0374498Z   test_non_contig_expand_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0374665Z   test_non_contig_expand_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0374829Z   test_non_contig_expand_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0374994Z   test_non_contig_expand_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0375159Z   test_non_contig_expand_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0375322Z   test_non_contig_expand_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0375490Z   test_non_contig_expand_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0375650Z   test_non_contig_expand_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0375797Z   test_non_contig_expand_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0375959Z   test_non_contig_expand_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0376116Z   test_non_contig_expand_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0376280Z   test_non_contig_expand_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0376446Z   test_non_contig_expand_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0376605Z   test_non_contig_expand_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0376794Z   test_non_contig_expand_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0376951Z   test_non_contig_expand_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0377134Z   test_non_contig_expand_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0377283Z   test_non_contig_expand_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0377442Z   test_non_contig_expand_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0377631Z   test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:12.0377820Z   test_non_contig_expand_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:12.0378008Z   test_non_contig_expand_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Different noise (0.001s)
2023-01-11T21:23:12.0378178Z   test_non_contig_expand_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0378344Z   test_non_contig_expand_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0378505Z   test_non_contig_expand_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0378685Z   test_non_contig_expand_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0378848Z   test_non_contig_expand_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0379015Z   test_non_contig_expand_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0379176Z   test_non_contig_expand_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0379338Z   test_non_contig_expand_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0379510Z   test_non_contig_expand_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0379684Z   test_non_contig_expand_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0379854Z   test_non_contig_expand_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0380028Z   test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0380201Z   test_non_contig_expand_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0380360Z   test_non_contig_expand_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0380529Z   test_non_contig_expand_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0380703Z   test_non_contig_expand_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0380875Z   test_non_contig_expand_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0381044Z   test_non_contig_expand_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0381214Z   test_non_contig_expand_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0381384Z   test_non_contig_expand_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0381550Z   test_non_contig_expand_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0381716Z   test_non_contig_expand_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0381871Z   test_non_contig_expand_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0382068Z   test_non_contig_expand_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0382263Z   test_non_contig_expand_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0382441Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0382618Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0382794Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0382965Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0383137Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0383306Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0383477Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0383632Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0383802Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0383970Z   test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0384143Z   test_non_contig_expand_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0384314Z   test_non_contig_expand_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0384484Z   test_non_contig_expand_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0384655Z   test_non_contig_expand_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0384828Z   test_non_contig_expand_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0384996Z   test_non_contig_expand_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0385151Z   test_non_contig_expand_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0385317Z   test_non_contig_expand_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0385491Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0385659Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0385832Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386004Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386171Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386337Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386503Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386656Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386825Z   test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0386997Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0387190Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0387401Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0387571Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0387738Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0387906Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0388073Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0388224Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0388391Z   test_non_contig_expand_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0388563Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0388730Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0388902Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0389072Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0389238Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0389403Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0389573Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0389727Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0389894Z   test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0390064Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0390230Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0390400Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0390570Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0390739Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0390904Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0391072Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0391227Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0391393Z   test_non_contig_expand_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0391562Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0391727Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0391896Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0392064Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0392263Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0392428Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0392622Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0392775Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0392939Z   test_non_contig_expand_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0393095Z   test_non_contig_expand_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0393331Z   test_non_contig_expand_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0393497Z   test_non_contig_expand_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0393658Z   test_non_contig_expand_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0393814Z   test_non_contig_expand_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0393975Z   test_non_contig_expand_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0394112Z   test_non_contig_expand_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0394264Z   test_non_contig_expand_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0394415Z   test_non_contig_expand_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0394565Z   test_non_contig_expand_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0394718Z   test_non_contig_expand_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0394868Z   test_non_contig_expand_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395026Z   test_non_contig_expand_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395179Z   test_non_contig_expand_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395334Z   test_non_contig_expand_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395474Z   test_non_contig_expand_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395620Z   test_non_contig_expand_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395771Z   test_non_contig_expand_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0395922Z   test_non_contig_expand_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396072Z   test_non_contig_expand_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396224Z   test_non_contig_expand_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396373Z   test_non_contig_expand_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396524Z   test_non_contig_expand_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396658Z   test_non_contig_expand_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396811Z   test_non_contig_expand_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0396961Z   test_non_contig_expand_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0397112Z   test_non_contig_expand_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0397260Z   test_non_contig_expand_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0397407Z   test_non_contig_expand_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0397602Z   test_non_contig_expand_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0397752Z   test_non_contig_expand_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0397918Z   test_non_contig_expand_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0398046Z   test_non_contig_expand_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0398193Z   test_non_contig_expand_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0398334Z   test_non_contig_expand_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0398494Z   test_non_contig_expand_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0398647Z   test_non_contig_expand_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0398809Z   test_non_contig_expand_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0398974Z   test_non_contig_expand_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0399134Z   test_non_contig_expand_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0399278Z   test_non_contig_expand_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0399432Z   test_non_contig_expand_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0399587Z   test_non_contig_expand_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0399741Z   test_non_contig_expand_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0399891Z   test_non_contig_expand_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400045Z   test_non_contig_expand_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400198Z   test_non_contig_expand_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400350Z   test_non_contig_expand_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400503Z   test_non_contig_expand_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400643Z   test_non_contig_expand_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400790Z   test_non_contig_expand_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0400939Z   test_non_contig_expand_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0401086Z   test_non_contig_expand_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0401235Z   test_non_contig_expand_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0401381Z   test_non_contig_expand_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0401549Z   test_non_contig_expand_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0401714Z   test_non_contig_expand_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0401858Z   test_non_contig_expand_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0402021Z   test_non_contig_expand_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0402176Z   test_non_contig_expand_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0402330Z   test_non_contig_expand_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0402497Z   test_non_contig_expand_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0402667Z   test_non_contig_expand_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0402911Z   test_non_contig_expand_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0403091Z   test_non_contig_expand_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0403244Z   test_non_contig_expand_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0403505Z   test_non_contig_expand_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0403713Z   test_non_contig_expand_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0403866Z   test_non_contig_expand_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404020Z   test_non_contig_expand_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404169Z   test_non_contig_expand_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404320Z   test_non_contig_expand_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404469Z   test_non_contig_expand_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404619Z   test_non_contig_expand_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404754Z   test_non_contig_expand_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0404904Z   test_non_contig_expand_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0405054Z   test_non_contig_expand_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0405207Z   test_non_contig_expand_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0405360Z   test_non_contig_expand_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0405512Z   test_non_contig_expand_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0405662Z   test_non_contig_expand_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0405811Z   test_non_contig_expand_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0405959Z   test_non_contig_expand_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406094Z   test_non_contig_expand_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406236Z   test_non_contig_expand_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406381Z   test_non_contig_expand_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406526Z   test_non_contig_expand_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406667Z   test_non_contig_expand_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406819Z   test_non_contig_expand_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0406969Z   test_non_contig_expand_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0407126Z   test_non_contig_expand_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0407267Z   test_non_contig_expand_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0407416Z   test_non_contig_expand_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0407566Z   test_non_contig_expand_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0407714Z   test_non_contig_expand_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0407862Z   test_non_contig_expand_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408008Z   test_non_contig_expand_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408155Z   test_non_contig_expand_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408350Z   test_non_contig_expand_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408518Z   test_non_contig_expand_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408676Z   test_non_contig_expand_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408827Z   test_non_contig_expand_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0408984Z   test_non_contig_expand_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0409142Z   test_non_contig_expand_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0409295Z   test_non_contig_expand_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0409449Z   test_non_contig_expand_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0409600Z   test_non_contig_expand_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0409752Z   test_non_contig_expand_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0409890Z   test_non_contig_expand_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0410040Z   test_non_contig_expand_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0410186Z   test_non_contig_expand_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0410340Z   test_non_contig_expand_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0410487Z   test_non_contig_expand_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0410634Z   test_non_contig_expand_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0410782Z   test_non_contig_expand_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0410932Z   test_non_contig_expand_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0411068Z   test_non_contig_expand_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0411214Z   test_non_contig_expand_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0411354Z   test_non_contig_expand_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0411500Z   test_non_contig_expand_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0411641Z   test_non_contig_expand_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0411794Z   test_non_contig_expand_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0411942Z   test_non_contig_expand_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412094Z   test_non_contig_expand_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412248Z   test_non_contig_expand_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412385Z   test_non_contig_expand_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412535Z   test_non_contig_expand_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412684Z   test_non_contig_expand_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412834Z   test_non_contig_expand_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0412983Z   test_non_contig_expand_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0413131Z   test_non_contig_expand_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0413278Z   test_non_contig_expand_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0413450Z   test_non_contig_expand_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0413589Z   test_non_contig_expand_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0413767Z   test_non_contig_expand_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0413917Z   test_non_contig_expand_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414063Z   test_non_contig_expand_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414208Z   test_non_contig_expand_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414348Z   test_non_contig_expand_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414486Z   test_non_contig_expand_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414630Z   test_non_contig_expand_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414759Z   test_non_contig_expand_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0414909Z   test_non_contig_expand_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0415056Z   test_non_contig_expand_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0415209Z   test_non_contig_expand_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0415362Z   test_non_contig_expand_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0415510Z   test_non_contig_expand_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0415659Z   test_non_contig_expand_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0415805Z   test_non_contig_expand_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0415946Z   test_non_contig_expand_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0416075Z   test_non_contig_expand_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0416219Z   test_non_contig_expand_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0416361Z   test_non_contig_expand_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0416509Z   test_non_contig_expand_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0416655Z   test_non_contig_expand_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0416812Z   test_non_contig_expand_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0416965Z   test_non_contig_expand_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0417114Z   test_non_contig_expand_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0417249Z   test_non_contig_expand_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0417397Z   test_non_contig_expand_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0417543Z   test_non_contig_expand_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0417684Z   test_non_contig_expand_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0417830Z   test_non_contig_expand_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0417971Z   test_non_contig_expand_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0418130Z   test_non_contig_expand_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0418293Z   test_non_contig_expand_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0418453Z   test_non_contig_expand_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0418630Z   test_non_contig_expand_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0418789Z   test_non_contig_expand_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0418976Z   test_non_contig_expand_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0419133Z   test_non_contig_expand_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0419291Z   test_non_contig_expand_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0419452Z   test_non_contig_expand_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0419618Z   test_non_contig_expand_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0419778Z   test_non_contig_expand_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0419928Z   test_non_contig_expand_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0420084Z   test_non_contig_expand_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0420240Z   test_non_contig_expand_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0420398Z   test_non_contig_expand_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0420558Z   test_non_contig_expand_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0420717Z   test_non_contig_expand_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0420882Z   test_non_contig_expand_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421042Z   test_non_contig_expand_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421203Z   test_non_contig_expand_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421346Z   test_non_contig_expand_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421500Z   test_non_contig_expand_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421660Z   test_non_contig_expand_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421822Z   test_non_contig_expand_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0421983Z   test_non_contig_expand_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0422147Z   test_non_contig_expand_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0422306Z   test_non_contig_expand_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0422465Z   test_non_contig_expand_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0422620Z   test_non_contig_expand_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0422762Z   test_non_contig_expand_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0422918Z   test_non_contig_expand_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0423076Z   test_non_contig_expand_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0423237Z   test_non_contig_expand_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0423399Z   test_non_contig_expand_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0423558Z   test_non_contig_expand_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0423742Z   test_non_contig_expand_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0423895Z   test_non_contig_expand_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0424086Z   test_non_contig_expand_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0424232Z   test_non_contig_expand_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0424391Z   test_non_contig_expand_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0424551Z   test_non_contig_expand_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0424707Z   test_non_contig_expand_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0424865Z   test_non_contig_expand_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425026Z   test_non_contig_expand_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425182Z   test_non_contig_expand_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425339Z   test_non_contig_expand_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425478Z   test_non_contig_expand_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425633Z   test_non_contig_expand_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425782Z   test_non_contig_expand_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0425937Z   test_non_contig_expand_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0426097Z   test_non_contig_expand_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0426257Z   test_non_contig_expand_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0426417Z   test_non_contig_expand_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0426578Z   test_non_contig_expand_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0426733Z   test_non_contig_expand_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0426877Z   test_non_contig_expand_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427032Z   test_non_contig_expand_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427190Z   test_non_contig_expand_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427346Z   test_non_contig_expand_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427500Z   test_non_contig_expand_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427656Z   test_non_contig_expand_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427811Z   test_non_contig_expand_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0427966Z   test_non_contig_expand_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0428117Z   test_non_contig_expand_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0428258Z   test_non_contig_expand_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0428406Z   test_non_contig_expand_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0428559Z   test_non_contig_expand_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0428712Z   test_non_contig_expand_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0428900Z   test_non_contig_expand_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429050Z   test_non_contig_expand_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429227Z   test_non_contig_expand_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429375Z   test_non_contig_expand_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429512Z   test_non_contig_expand_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429658Z   test_non_contig_expand_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429808Z   test_non_contig_expand_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0429965Z   test_non_contig_expand_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0430121Z   test_non_contig_expand_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0430276Z   test_non_contig_expand_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0430430Z   test_non_contig_expand_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0430584Z   test_non_contig_expand_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0430737Z   test_non_contig_expand_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0430876Z   test_non_contig_expand_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0431037Z   test_non_contig_expand_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0431202Z   test_non_contig_expand_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0431363Z   test_non_contig_expand_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0431526Z   test_non_contig_expand_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0431686Z   test_non_contig_expand_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0431849Z   test_non_contig_expand_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0432007Z   test_non_contig_expand_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0432152Z   test_non_contig_expand_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0432325Z   test_non_contig_expand_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0432500Z   test_non_contig_expand_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0432673Z   test_non_contig_expand_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0432846Z   test_non_contig_expand_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0433017Z   test_non_contig_expand_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0433184Z   test_non_contig_expand_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0433419Z   test_non_contig_expand_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0433588Z   test_non_contig_expand_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0433743Z   test_non_contig_expand_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0433914Z   test_non_contig_expand_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0434117Z   test_non_contig_expand_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0434283Z   test_non_contig_expand_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0434480Z   test_non_contig_expand_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0434645Z   test_non_contig_expand_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0434812Z   test_non_contig_expand_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0434975Z   test_non_contig_expand_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0435141Z   test_non_contig_expand_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0435311Z   test_non_contig_expand_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0435471Z   test_non_contig_expand_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0435637Z   test_non_contig_expand_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0435805Z   test_non_contig_expand_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0435966Z   test_non_contig_expand_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0436131Z   test_non_contig_expand_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0436293Z   test_non_contig_expand_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0436457Z   test_non_contig_expand_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0436629Z   test_non_contig_expand_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0436800Z   test_non_contig_expand_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0436951Z   test_non_contig_expand_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0437120Z   test_non_contig_expand_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0437281Z   test_non_contig_expand_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0437447Z   test_non_contig_expand_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0437608Z   test_non_contig_expand_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0437770Z   test_non_contig_expand_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0437929Z   test_non_contig_expand_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0438091Z   test_non_contig_expand_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0438250Z   test_non_contig_expand_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0438394Z   test_non_contig_expand_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0438550Z   test_non_contig_expand_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0438700Z   test_non_contig_expand_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0438855Z   test_non_contig_expand_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0439006Z   test_non_contig_expand_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0439190Z   test_non_contig_expand_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0439352Z   test_non_contig_expand_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0439539Z   test_non_contig_expand_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0439684Z   test_non_contig_expand_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0439842Z   test_non_contig_expand_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0440000Z   test_non_contig_expand_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0440154Z   test_non_contig_expand_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0440308Z   test_non_contig_expand_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0440504Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0440697Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0440890Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0441080Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0441267Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0441441Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0441630Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0441819Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0442005Z   test_non_contig_expand_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0442186Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0442367Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0442544Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0442721Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0442893Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0443053Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0443232Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0443523Z   test_non_contig_expand_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0443702Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0443886Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0444062Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0444240Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0444458Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0444664Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0444827Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0445006Z   test_non_contig_expand_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0445182Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0445358Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0445535Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0445709Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0445888Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0446060Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0446232Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0446399Z   test_non_contig_expand_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0446537Z   test_non_contig_expand_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0446688Z   test_non_contig_expand_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0446845Z   test_non_contig_expand_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447001Z   test_non_contig_expand_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447152Z   test_non_contig_expand_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447305Z   test_non_contig_expand_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447455Z   test_non_contig_expand_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447597Z   test_non_contig_expand_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447723Z   test_non_contig_expand_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0447871Z   test_non_contig_expand_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0448012Z   test_non_contig_expand_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0448164Z   test_non_contig_expand_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0448315Z   test_non_contig_expand_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0448473Z   test_non_contig_expand_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0448630Z   test_non_contig_expand_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0448782Z   test_non_contig_expand_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0448933Z   test_non_contig_expand_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0449070Z   test_non_contig_expand_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0449219Z   test_non_contig_expand_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0449369Z   test_non_contig_expand_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0449517Z   test_non_contig_expand_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0449702Z   test_non_contig_expand_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0449880Z   test_non_contig_expand_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0450032Z   test_non_contig_expand_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0450178Z   test_non_contig_expand_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0450315Z   test_non_contig_expand_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0450467Z   test_non_contig_expand_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0450614Z   test_non_contig_expand_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0450761Z   test_non_contig_expand_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0450910Z   test_non_contig_expand_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451052Z   test_non_contig_expand_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451192Z   test_non_contig_expand_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451335Z   test_non_contig_expand_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451461Z   test_non_contig_expand_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451613Z   test_non_contig_expand_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451758Z   test_non_contig_expand_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0451913Z   test_non_contig_expand_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452066Z   test_non_contig_expand_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452217Z   test_non_contig_expand_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452366Z   test_non_contig_expand_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452515Z   test_non_contig_expand_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452659Z   test_non_contig_expand_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452787Z   test_non_contig_expand_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0452933Z   test_non_contig_expand_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0453074Z   test_non_contig_expand_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0453225Z   test_non_contig_expand_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0453375Z   test_non_contig_expand_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0453529Z   test_non_contig_expand_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0453676Z   test_non_contig_expand_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0453825Z   test_non_contig_expand_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0453959Z   test_non_contig_expand_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454107Z   test_non_contig_expand_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454253Z   test_non_contig_expand_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454399Z   test_non_contig_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454540Z   test_non_contig_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454681Z   test_non_contig_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454853Z   test_non_contig_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0454994Z   test_non_contig_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0455147Z   test_non_contig_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0455289Z   test_non_contig_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0455431Z   test_non_contig_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0455568Z   test_non_contig_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0455711Z   test_non_contig_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0455850Z   test_non_contig_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0455996Z   test_non_contig_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0456141Z   test_non_contig_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0456269Z   test_non_contig_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0456413Z   test_non_contig_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0456552Z   test_non_contig_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0456691Z   test_non_contig_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0456828Z   test_non_contig_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0456966Z   test_non_contig_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0457104Z   test_non_contig_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0457239Z   test_non_contig_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0457363Z   test_non_contig_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0457509Z   test_non_contig_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0457646Z   test_non_contig_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0457795Z   test_non_contig_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0457941Z   test_non_contig_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458085Z   test_non_contig_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458224Z   test_non_contig_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458367Z   test_non_contig_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458506Z   test_non_contig_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458632Z   test_non_contig_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458772Z   test_non_contig_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0458910Z   test_non_contig_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0459050Z   test_non_contig_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0459187Z   test_non_contig_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0459332Z   test_non_contig_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0459470Z   test_non_contig_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0459610Z   test_non_contig_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0459736Z   test_non_contig_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0459871Z   test_non_contig_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0460036Z   test_non_contig_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0460175Z   test_non_contig_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0460347Z   test_non_contig_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0460491Z   test_non_contig_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0460636Z   test_non_contig_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0460778Z   test_non_contig_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0460905Z   test_non_contig_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461049Z   test_non_contig_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461188Z   test_non_contig_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461329Z   test_non_contig_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461472Z   test_non_contig_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461612Z   test_non_contig_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461754Z   test_non_contig_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0461902Z   test_non_contig_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462033Z   test_non_contig_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462175Z   test_non_contig_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462314Z   test_non_contig_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462452Z   test_non_contig_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462590Z   test_non_contig_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462730Z   test_non_contig_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0462867Z   test_non_contig_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463007Z   test_non_contig_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463129Z   test_non_contig_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463268Z   test_non_contig_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463405Z   test_non_contig_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463541Z   test_non_contig_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463678Z   test_non_contig_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463813Z   test_non_contig_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0463948Z   test_non_contig_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464082Z   test_non_contig_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464203Z   test_non_contig_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464335Z   test_non_contig_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464481Z   test_non_contig_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464626Z   test_non_contig_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464765Z   test_non_contig_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0464913Z   test_non_contig_index_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465065Z   test_non_contig_index_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465216Z   test_non_contig_index_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465394Z   test_non_contig_index_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465554Z   test_non_contig_index_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465696Z   test_non_contig_index_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465835Z   test_non_contig_index_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0465978Z   test_non_contig_index_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466120Z   test_non_contig_index_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466256Z   test_non_contig_index_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466396Z   test_non_contig_index_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466537Z   test_non_contig_index_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466673Z   test_non_contig_index_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466820Z   test_non_contig_index_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0466973Z   test_non_contig_index_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467124Z   test_non_contig_index_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467271Z   test_non_contig_index_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467417Z   test_non_contig_index_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467563Z   test_non_contig_index_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467702Z   test_non_contig_index_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467827Z   test_non_contig_index_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0467971Z   test_non_contig_index_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0468113Z   test_non_contig_index_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0468263Z   test_non_contig_index_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0468409Z   test_non_contig_index_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0468562Z   test_non_contig_index_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0468713Z   test_non_contig_index_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0468861Z   test_non_contig_index_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469009Z   test_non_contig_index_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469144Z   test_non_contig_index_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469284Z   test_non_contig_index_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469424Z   test_non_contig_index_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469567Z   test_non_contig_index_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469708Z   test_non_contig_index_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0469857Z   test_non_contig_index_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470003Z   test_non_contig_index_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470155Z   test_non_contig_index_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470292Z   test_non_contig_index_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470472Z   test_non_contig_index_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470620Z   test_non_contig_index_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470794Z   test_non_contig_index_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0470942Z   test_non_contig_index_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471084Z   test_non_contig_index_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471222Z   test_non_contig_index_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471366Z   test_non_contig_index_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471493Z   test_non_contig_index_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471639Z   test_non_contig_index_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471785Z   test_non_contig_index_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0471937Z   test_non_contig_index_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472090Z   test_non_contig_index_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472237Z   test_non_contig_index_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472383Z   test_non_contig_index_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472527Z   test_non_contig_index_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472667Z   test_non_contig_index_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472793Z   test_non_contig_index_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0472935Z   test_non_contig_index_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0473075Z   test_non_contig_index_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0473290Z   test_non_contig_index_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0473445Z   test_non_contig_index_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0473597Z   test_non_contig_index_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0473749Z   test_non_contig_index_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0473901Z   test_non_contig_index_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474034Z   test_non_contig_index_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474181Z   test_non_contig_index_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474324Z   test_non_contig_index_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474467Z   test_non_contig_index_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474614Z   test_non_contig_index_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474756Z   test_non_contig_index_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0474908Z   test_non_contig_index_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475054Z   test_non_contig_index_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475191Z   test_non_contig_index_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475343Z   test_non_contig_index_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475491Z   test_non_contig_index_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475639Z   test_non_contig_index_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475818Z   test_non_contig_index_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0475989Z   test_non_contig_index_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476129Z   test_non_contig_index_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476271Z   test_non_contig_index_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476412Z   test_non_contig_index_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476547Z   test_non_contig_index_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476692Z   test_non_contig_index_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476844Z   test_non_contig_index_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0476997Z   test_non_contig_index_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477148Z   test_non_contig_index_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477297Z   test_non_contig_index_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477444Z   test_non_contig_index_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477583Z   test_non_contig_index_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477709Z   test_non_contig_index_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477852Z   test_non_contig_index_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0477992Z   test_non_contig_index_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0478144Z   test_non_contig_index_bfloat16_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0478294Z   test_non_contig_index_bfloat16_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0478450Z   test_non_contig_index_bfloat16_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0478605Z   test_non_contig_index_bfloat16_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0478758Z   test_non_contig_index_bfloat16_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0478894Z   test_non_contig_index_bfloat16_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479045Z   test_non_contig_index_bfloat16_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479191Z   test_non_contig_index_bfloat16_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479338Z   test_non_contig_index_bfloat16_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479485Z   test_non_contig_index_bfloat16_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479635Z   test_non_contig_index_bfloat16_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479783Z   test_non_contig_index_bfloat16_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0479929Z   test_non_contig_index_bfloat16_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480080Z   test_non_contig_index_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480218Z   test_non_contig_index_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480369Z   test_non_contig_index_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480517Z   test_non_contig_index_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480663Z   test_non_contig_index_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480842Z   test_non_contig_index_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0480991Z   test_non_contig_index_bool_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0481191Z   test_non_contig_index_bool_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0481344Z   test_non_contig_index_bool_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0481482Z   test_non_contig_index_bool_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0481630Z   test_non_contig_index_bool_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0481776Z   test_non_contig_index_bool_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0481923Z   test_non_contig_index_bool_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482071Z   test_non_contig_index_bool_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482217Z   test_non_contig_index_bool_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482357Z   test_non_contig_index_bool_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482497Z   test_non_contig_index_bool_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482640Z   test_non_contig_index_bool_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482790Z   test_non_contig_index_bool_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0482937Z   test_non_contig_index_byte_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0483082Z   test_non_contig_index_byte_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0483234Z   test_non_contig_index_byte_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0483510Z   test_non_contig_index_byte_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0483662Z   test_non_contig_index_byte_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0483808Z   test_non_contig_index_byte_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0483957Z   test_non_contig_index_byte_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484088Z   test_non_contig_index_byte_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484229Z   test_non_contig_index_byte_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484367Z   test_non_contig_index_byte_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484509Z   test_non_contig_index_byte_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484649Z   test_non_contig_index_byte_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484800Z   test_non_contig_index_cdouble_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0484950Z   test_non_contig_index_cdouble_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0485107Z   test_non_contig_index_cdouble_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0485250Z   test_non_contig_index_cdouble_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0485405Z   test_non_contig_index_cdouble_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0485554Z   test_non_contig_index_cdouble_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0485704Z   test_non_contig_index_cdouble_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0485854Z   test_non_contig_index_cdouble_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486002Z   test_non_contig_index_cdouble_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486150Z   test_non_contig_index_cdouble_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486344Z   test_non_contig_index_cdouble_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486529Z   test_non_contig_index_cdouble_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486663Z   test_non_contig_index_cdouble_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486810Z   test_non_contig_index_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0486955Z   test_non_contig_index_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487099Z   test_non_contig_index_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487242Z   test_non_contig_index_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487382Z   test_non_contig_index_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487525Z   test_non_contig_index_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487670Z   test_non_contig_index_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487799Z   test_non_contig_index_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0487951Z   test_non_contig_index_cfloat_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488099Z   test_non_contig_index_cfloat_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488252Z   test_non_contig_index_cfloat_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488404Z   test_non_contig_index_cfloat_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488555Z   test_non_contig_index_cfloat_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488705Z   test_non_contig_index_cfloat_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488855Z   test_non_contig_index_cfloat_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0488989Z   test_non_contig_index_cfloat_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0489139Z   test_non_contig_index_cfloat_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0489285Z   test_non_contig_index_cfloat_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0489427Z   test_non_contig_index_cfloat_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0489573Z   test_non_contig_index_cfloat_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0489719Z   test_non_contig_index_cfloat_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0489869Z   test_non_contig_index_chalf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490015Z   test_non_contig_index_chalf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490169Z   test_non_contig_index_chalf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490309Z   test_non_contig_index_chalf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490461Z   test_non_contig_index_chalf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490608Z   test_non_contig_index_chalf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490758Z   test_non_contig_index_chalf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0490904Z   test_non_contig_index_chalf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491050Z   test_non_contig_index_chalf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491192Z   test_non_contig_index_chalf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491336Z   test_non_contig_index_chalf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491496Z   test_non_contig_index_chalf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491665Z   test_non_contig_index_chalf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491815Z   test_non_contig_index_char_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0491961Z   test_non_contig_index_char_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492112Z   test_non_contig_index_char_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492263Z   test_non_contig_index_char_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492415Z   test_non_contig_index_char_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492561Z   test_non_contig_index_char_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492710Z   test_non_contig_index_char_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492844Z   test_non_contig_index_char_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0492991Z   test_non_contig_index_char_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493132Z   test_non_contig_index_char_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493271Z   test_non_contig_index_char_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493414Z   test_non_contig_index_char_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493554Z   test_non_contig_index_char_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493702Z   test_non_contig_index_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493847Z   test_non_contig_index_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0493988Z   test_non_contig_index_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0494139Z   test_non_contig_index_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0494289Z   test_non_contig_index_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0494437Z   test_non_contig_index_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0494582Z   test_non_contig_index_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0494726Z   test_non_contig_index_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0494872Z   test_non_contig_index_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495014Z   test_non_contig_index_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495139Z   test_non_contig_index_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495287Z   test_non_contig_index_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495427Z   test_non_contig_index_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495591Z   test_non_contig_index_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495750Z   test_non_contig_index_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0495914Z   test_non_contig_index_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0496076Z   test_non_contig_index_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0496236Z   test_non_contig_index_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0496394Z   test_non_contig_index_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0496538Z   test_non_contig_index_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0496726Z   test_non_contig_index_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0496920Z   test_non_contig_index_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497079Z   test_non_contig_index_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497229Z   test_non_contig_index_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497384Z   test_non_contig_index_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497535Z   test_non_contig_index_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497682Z   test_non_contig_index_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497814Z   test_non_contig_index_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0497967Z   test_non_contig_index_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498117Z   test_non_contig_index_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498265Z   test_non_contig_index_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498407Z   test_non_contig_index_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498553Z   test_non_contig_index_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498692Z   test_non_contig_index_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498829Z   test_non_contig_index_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0498972Z   test_non_contig_index_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0499097Z   test_non_contig_index_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0499251Z   test_non_contig_index_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0499398Z   test_non_contig_index_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0499551Z   test_non_contig_index_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0499703Z   test_non_contig_index_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0499852Z   test_non_contig_index_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500000Z   test_non_contig_index_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500145Z   test_non_contig_index_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500272Z   test_non_contig_index_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500411Z   test_non_contig_index_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500554Z   test_non_contig_index_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500696Z   test_non_contig_index_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500850Z   test_non_contig_index_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0500996Z   test_non_contig_index_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0501148Z   test_non_contig_index_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0501298Z   test_non_contig_index_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0501435Z   test_non_contig_index_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0501582Z   test_non_contig_index_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0501730Z   test_non_contig_index_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0501911Z   test_non_contig_index_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502085Z   test_non_contig_index_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502232Z   test_non_contig_index_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502386Z   test_non_contig_index_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502532Z   test_non_contig_index_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502682Z   test_non_contig_index_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502819Z   test_non_contig_index_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0502965Z   test_non_contig_index_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503118Z   test_non_contig_index_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503264Z   test_non_contig_index_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503414Z   test_non_contig_index_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503560Z   test_non_contig_index_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503710Z   test_non_contig_index_double_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503857Z   test_non_contig_index_double_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0503996Z   test_non_contig_index_double_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0504147Z   test_non_contig_index_double_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0504295Z   test_non_contig_index_double_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0504445Z   test_non_contig_index_double_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0504594Z   test_non_contig_index_double_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0504745Z   test_non_contig_index_double_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0504891Z   test_non_contig_index_double_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505036Z   test_non_contig_index_double_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505169Z   test_non_contig_index_double_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505315Z   test_non_contig_index_double_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505459Z   test_non_contig_index_double_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505603Z   test_non_contig_index_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505749Z   test_non_contig_index_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0505896Z   test_non_contig_index_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506038Z   test_non_contig_index_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506180Z   test_non_contig_index_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506319Z   test_non_contig_index_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506442Z   test_non_contig_index_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506583Z   test_non_contig_index_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506721Z   test_non_contig_index_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0506868Z   test_non_contig_index_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507044Z   test_non_contig_index_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507216Z   test_non_contig_index_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507363Z   test_non_contig_index_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507509Z   test_non_contig_index_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507637Z   test_non_contig_index_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507775Z   test_non_contig_index_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0507917Z   test_non_contig_index_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508057Z   test_non_contig_index_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508207Z   test_non_contig_index_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508356Z   test_non_contig_index_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508506Z   test_non_contig_index_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508654Z   test_non_contig_index_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508785Z   test_non_contig_index_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0508933Z   test_non_contig_index_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509076Z   test_non_contig_index_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509222Z   test_non_contig_index_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509366Z   test_non_contig_index_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509517Z   test_non_contig_index_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509661Z   test_non_contig_index_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509814Z   test_non_contig_index_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0509957Z   test_non_contig_index_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510089Z   test_non_contig_index_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510233Z   test_non_contig_index_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510371Z   test_non_contig_index_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510508Z   test_non_contig_index_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510649Z   test_non_contig_index_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510789Z   test_non_contig_index_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0510934Z   test_non_contig_index_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511079Z   test_non_contig_index_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511217Z   test_non_contig_index_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511363Z   test_non_contig_index_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511506Z   test_non_contig_index_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511647Z   test_non_contig_index_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511789Z   test_non_contig_index_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0511925Z   test_non_contig_index_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512092Z   test_non_contig_index_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512234Z   test_non_contig_index_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512384Z   test_non_contig_index_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512535Z   test_non_contig_index_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512676Z   test_non_contig_index_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512824Z   test_non_contig_index_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0512967Z   test_non_contig_index_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0513109Z   test_non_contig_index_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0513335Z   test_non_contig_index_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0513480Z   test_non_contig_index_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0513625Z   test_non_contig_index_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0513755Z   test_non_contig_index_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0513902Z   test_non_contig_index_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514045Z   test_non_contig_index_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514195Z   test_non_contig_index_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514345Z   test_non_contig_index_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514493Z   test_non_contig_index_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514640Z   test_non_contig_index_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514785Z   test_non_contig_index_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0514918Z   test_non_contig_index_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515063Z   test_non_contig_index_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515202Z   test_non_contig_index_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515339Z   test_non_contig_index_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515480Z   test_non_contig_index_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515618Z   test_non_contig_index_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515765Z   test_non_contig_index_float_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0515910Z   test_non_contig_index_float_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516051Z   test_non_contig_index_float_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516202Z   test_non_contig_index_float_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516352Z   test_non_contig_index_float_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516499Z   test_non_contig_index_float_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516646Z   test_non_contig_index_float_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516791Z   test_non_contig_index_float_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0516933Z   test_non_contig_index_float_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517075Z   test_non_contig_index_float_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517213Z   test_non_contig_index_float_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517379Z   test_non_contig_index_float_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517545Z   test_non_contig_index_float_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517694Z   test_non_contig_index_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517837Z   test_non_contig_index_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0517981Z   test_non_contig_index_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518126Z   test_non_contig_index_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518265Z   test_non_contig_index_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518403Z   test_non_contig_index_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518533Z   test_non_contig_index_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518673Z   test_non_contig_index_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518819Z   test_non_contig_index_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0518967Z   test_non_contig_index_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519110Z   test_non_contig_index_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519254Z   test_non_contig_index_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519403Z   test_non_contig_index_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519549Z   test_non_contig_index_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519680Z   test_non_contig_index_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519828Z   test_non_contig_index_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0519972Z   test_non_contig_index_half_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520119Z   test_non_contig_index_half_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520268Z   test_non_contig_index_half_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520416Z   test_non_contig_index_half_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520561Z   test_non_contig_index_half_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520705Z   test_non_contig_index_half_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520851Z   test_non_contig_index_half_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0520981Z   test_non_contig_index_half_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521123Z   test_non_contig_index_half_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521261Z   test_non_contig_index_half_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521402Z   test_non_contig_index_half_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521540Z   test_non_contig_index_half_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521682Z   test_non_contig_index_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521821Z   test_non_contig_index_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0521963Z   test_non_contig_index_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522090Z   test_non_contig_index_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522229Z   test_non_contig_index_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522396Z   test_non_contig_index_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522531Z   test_non_contig_index_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522698Z   test_non_contig_index_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522841Z   test_non_contig_index_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0522992Z   test_non_contig_index_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0523142Z   test_non_contig_index_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0523278Z   test_non_contig_index_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0523532Z   test_non_contig_index_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0523674Z   test_non_contig_index_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0523826Z   test_non_contig_index_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0523973Z   test_non_contig_index_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524119Z   test_non_contig_index_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524260Z   test_non_contig_index_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524397Z   test_non_contig_index_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524538Z   test_non_contig_index_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524664Z   test_non_contig_index_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524800Z   test_non_contig_index_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0524941Z   test_non_contig_index_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525080Z   test_non_contig_index_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525233Z   test_non_contig_index_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525382Z   test_non_contig_index_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525540Z   test_non_contig_index_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525693Z   test_non_contig_index_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525835Z   test_non_contig_index_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0525986Z   test_non_contig_index_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0526135Z   test_non_contig_index_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0526282Z   test_non_contig_index_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0526432Z   test_non_contig_index_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0526580Z   test_non_contig_index_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0526726Z   test_non_contig_index_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0526874Z   test_non_contig_index_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527007Z   test_non_contig_index_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527156Z   test_non_contig_index_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527300Z   test_non_contig_index_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527447Z   test_non_contig_index_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527646Z   test_non_contig_index_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527796Z   test_non_contig_index_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0527975Z   test_non_contig_index_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528121Z   test_non_contig_index_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528266Z   test_non_contig_index_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528398Z   test_non_contig_index_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528537Z   test_non_contig_index_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528674Z   test_non_contig_index_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528819Z   test_non_contig_index_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0528959Z   test_non_contig_index_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529107Z   test_non_contig_index_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529254Z   test_non_contig_index_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529403Z   test_non_contig_index_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529539Z   test_non_contig_index_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529686Z   test_non_contig_index_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529831Z   test_non_contig_index_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0529976Z   test_non_contig_index_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530120Z   test_non_contig_index_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530262Z   test_non_contig_index_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530400Z   test_non_contig_index_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530544Z   test_non_contig_index_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530682Z   test_non_contig_index_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530823Z   test_non_contig_index_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0530969Z   test_non_contig_index_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0531120Z   test_non_contig_index_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0531270Z   test_non_contig_index_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0531416Z   test_non_contig_index_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0531566Z   test_non_contig_index_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0531717Z   test_non_contig_index_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0531864Z   test_non_contig_index_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532001Z   test_non_contig_index_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532147Z   test_non_contig_index_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532299Z   test_non_contig_index_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532444Z   test_non_contig_index_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532596Z   test_non_contig_index_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532775Z   test_non_contig_index_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0532921Z   test_non_contig_index_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533107Z   test_non_contig_index_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533244Z   test_non_contig_index_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533392Z   test_non_contig_index_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533537Z   test_non_contig_index_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533683Z   test_non_contig_index_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533833Z   test_non_contig_index_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0533979Z   test_non_contig_index_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0534133Z   test_non_contig_index_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0534285Z   test_non_contig_index_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0534434Z   test_non_contig_index_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0534568Z   test_non_contig_index_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0534716Z   test_non_contig_index_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0534863Z   test_non_contig_index_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0535011Z   test_non_contig_index_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0535158Z   test_non_contig_index_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0535301Z   test_non_contig_index_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0535448Z   test_non_contig_index_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0535596Z   test_non_contig_index_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0535771Z   test_non_contig_index_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0535955Z   test_non_contig_index_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0536141Z   test_non_contig_index_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0536327Z   test_non_contig_index_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0536507Z   test_non_contig_index_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0536688Z   test_non_contig_index_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0536870Z   test_non_contig_index_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0537047Z   test_non_contig_index_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0537221Z   test_non_contig_index_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0537391Z   test_non_contig_index_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0537554Z   test_non_contig_index_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0537726Z   test_non_contig_index_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0537905Z   test_non_contig_index_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538053Z   test_non_contig_index_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538226Z   test_non_contig_index_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538381Z   test_non_contig_index_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538526Z   test_non_contig_index_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538671Z   test_non_contig_index_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538804Z   test_non_contig_index_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0538952Z   test_non_contig_index_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539097Z   test_non_contig_index_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539245Z   test_non_contig_index_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539391Z   test_non_contig_index_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539542Z   test_non_contig_index_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539693Z   test_non_contig_index_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539838Z   test_non_contig_index_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0539984Z   test_non_contig_index_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540116Z   test_non_contig_index_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540256Z   test_non_contig_index_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540392Z   test_non_contig_index_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540535Z   test_non_contig_index_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540675Z   test_non_contig_index_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540824Z   test_non_contig_index_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0540971Z   test_non_contig_index_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541121Z   test_non_contig_index_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541258Z   test_non_contig_index_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541402Z   test_non_contig_index_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541549Z   test_non_contig_index_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541693Z   test_non_contig_index_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541831Z   test_non_contig_index_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0541971Z   test_non_contig_index_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0542115Z   test_non_contig_index_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0542253Z   test_non_contig_index_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0542398Z   test_non_contig_index_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0542530Z   test_non_contig_index_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0542678Z   test_non_contig_index_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0542826Z   test_non_contig_index_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543000Z   test_non_contig_index_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543145Z   test_non_contig_index_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543313Z   test_non_contig_index_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543454Z   test_non_contig_index_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543590Z   test_non_contig_index_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543718Z   test_non_contig_index_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0543855Z   test_non_contig_index_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544001Z   test_non_contig_index_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544145Z   test_non_contig_index_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544293Z   test_non_contig_index_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544441Z   test_non_contig_index_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544586Z   test_non_contig_index_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544727Z   test_non_contig_index_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544856Z   test_non_contig_index_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0544994Z   test_non_contig_index_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0545130Z   test_non_contig_index_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0545270Z   test_non_contig_index_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0545407Z   test_non_contig_index_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0545563Z   test_non_contig_index_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0545715Z   test_non_contig_index_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0545875Z   test_non_contig_index_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546034Z   test_non_contig_index_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546176Z   test_non_contig_index_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546330Z   test_non_contig_index_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546478Z   test_non_contig_index_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546630Z   test_non_contig_index_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546783Z   test_non_contig_index_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0546930Z   test_non_contig_index_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547082Z   test_non_contig_index_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547232Z   test_non_contig_index_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547368Z   test_non_contig_index_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547516Z   test_non_contig_index_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547661Z   test_non_contig_index_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547807Z   test_non_contig_index_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0547952Z   test_non_contig_index_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548121Z   test_non_contig_index_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548260Z   test_non_contig_index_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548429Z   test_non_contig_index_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548558Z   test_non_contig_index_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548706Z   test_non_contig_index_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548849Z   test_non_contig_index_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0548998Z   test_non_contig_index_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0549147Z   test_non_contig_index_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0549295Z   test_non_contig_index_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0549442Z   test_non_contig_index_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0549586Z   test_non_contig_index_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0549735Z   test_non_contig_index_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0549866Z   test_non_contig_index_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550008Z   test_non_contig_index_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550146Z   test_non_contig_index_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550288Z   test_non_contig_index_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550427Z   test_non_contig_index_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550595Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550763Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0550931Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0551084Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0551251Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0551409Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0551570Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0551727Z   test_non_contig_index_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0551892Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0552056Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0552223Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0552385Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0552532Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0552686Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0552849Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0553004Z   test_non_contig_index_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0553199Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0553428Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0553625Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0553788Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0553945Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0554089Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0554251Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0554407Z   test_non_contig_index_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0554562Z   test_non_contig_index_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0554710Z   test_non_contig_index_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0554864Z   test_non_contig_index_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0555015Z   test_non_contig_index_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0555163Z   test_non_contig_index_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0555311Z   test_non_contig_index_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0555447Z   test_non_contig_index_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0555589Z   test_non_contig_index_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0555736Z   test_non_contig_index_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0558428Z   test_non_contig_index_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0558579Z   test_non_contig_index_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0558729Z   test_non_contig_index_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0558879Z   test_non_contig_index_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559029Z   test_non_contig_index_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559173Z   test_non_contig_index_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559303Z   test_non_contig_index_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559442Z   test_non_contig_index_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559586Z   test_non_contig_index_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559725Z   test_non_contig_index_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0559862Z   test_non_contig_index_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560002Z   test_non_contig_index_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560138Z   test_non_contig_index_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560303Z   test_non_contig_index_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560456Z   test_non_contig_index_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560615Z   test_non_contig_index_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560772Z   test_non_contig_index_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0560990Z   test_non_contig_index_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0561186Z   test_non_contig_index_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0561363Z   test_non_contig_index_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0561535Z   test_non_contig_index_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0561711Z   test_non_contig_index_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0561888Z   test_non_contig_index_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0562046Z   test_non_contig_index_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0562220Z   test_non_contig_index_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0562390Z   test_non_contig_index_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0562560Z   test_non_contig_index_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0562730Z   test_non_contig_index_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0562895Z   test_non_contig_index_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0563060Z   test_non_contig_index_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0563226Z   test_non_contig_index_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0563491Z   test_non_contig_index_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0563655Z   test_non_contig_index_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0563830Z   test_non_contig_index_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564001Z   test_non_contig_index_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564166Z   test_non_contig_index_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564328Z   test_non_contig_index_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564486Z   test_non_contig_index_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564650Z   test_non_contig_index_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564814Z   test_non_contig_index_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0564977Z   test_non_contig_index_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0565129Z   test_non_contig_index_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0565293Z   test_non_contig_index_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0565449Z   test_non_contig_index_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0565609Z   test_non_contig_index_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0565763Z   test_non_contig_index_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0565916Z   test_non_contig_index_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0566076Z   test_non_contig_index_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0566330Z   test_non_contig_index_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0566526Z   test_non_contig_index_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0566677Z   test_non_contig_index_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0566836Z   test_non_contig_index_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0566994Z   test_non_contig_index_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0567147Z   test_non_contig_index_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0567300Z   test_non_contig_index_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0567458Z   test_non_contig_index_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0567620Z   test_non_contig_index_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0567784Z   test_non_contig_index_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0567948Z   test_non_contig_index_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0568091Z   test_non_contig_index_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0568247Z   test_non_contig_index_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0568405Z   test_non_contig_index_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0568564Z   test_non_contig_index_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0568740Z   test_non_contig_index_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0568918Z   test_non_contig_index_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0569082Z   test_non_contig_index_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0569242Z   test_non_contig_index_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0569400Z   test_non_contig_index_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0569557Z   test_non_contig_index_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0569726Z   test_non_contig_index_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0569891Z   test_non_contig_index_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0570064Z   test_non_contig_index_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0570236Z   test_non_contig_index_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0570405Z   test_non_contig_index_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0570574Z   test_non_contig_index_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0570744Z   test_non_contig_index_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0570913Z   test_non_contig_index_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0571068Z   test_non_contig_index_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0571237Z   test_non_contig_index_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0571431Z   test_non_contig_index_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0571643Z   test_non_contig_index_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0571810Z   test_non_contig_index_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0571978Z   test_non_contig_index_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0572141Z   test_non_contig_index_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0572305Z   test_non_contig_index_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0572477Z   test_non_contig_index_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0572642Z   test_non_contig_index_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0572816Z   test_non_contig_index_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0572988Z   test_non_contig_index_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0573158Z   test_non_contig_index_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0573327Z   test_non_contig_index_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0573494Z   test_non_contig_index_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0573660Z   test_non_contig_index_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0573826Z   test_non_contig_index_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0573993Z   test_non_contig_index_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0574153Z   test_non_contig_index_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0574323Z   test_non_contig_index_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0574493Z   test_non_contig_index_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0574659Z   test_non_contig_index_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0574826Z   test_non_contig_index_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0574991Z   test_non_contig_index_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0575157Z   test_non_contig_index_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0575323Z   test_non_contig_index_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0575496Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0575651Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0575820Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0575988Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0576153Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0576317Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0576513Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0576677Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0576865Z   test_non_contig_index_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0577036Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0577185Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0577354Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0577524Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0577687Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0577855Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0578019Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0578185Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0578347Z   test_non_contig_index_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0578521Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0578673Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0578842Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0579009Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0579174Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0579343Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0579505Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0579670Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0579832Z   test_non_contig_index_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580003Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580156Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580327Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580494Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580661Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580824Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0580988Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0581151Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0581315Z   test_non_contig_index_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0581483Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0581660Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0581857Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0582025Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0582189Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0582354Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0582516Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0582682Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0582844Z   test_non_contig_index_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583001Z   test_non_contig_index_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583149Z   test_non_contig_index_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583305Z   test_non_contig_index_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583460Z   test_non_contig_index_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583613Z   test_non_contig_index_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583765Z   test_non_contig_index_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0583912Z   test_non_contig_index_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584062Z   test_non_contig_index_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584213Z   test_non_contig_index_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584349Z   test_non_contig_index_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584501Z   test_non_contig_index_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584648Z   test_non_contig_index_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584801Z   test_non_contig_index_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0584950Z   test_non_contig_index_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585101Z   test_non_contig_index_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585252Z   test_non_contig_index_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585401Z   test_non_contig_index_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585551Z   test_non_contig_index_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585690Z   test_non_contig_index_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585840Z   test_non_contig_index_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0585987Z   test_non_contig_index_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0586132Z   test_non_contig_index_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0586278Z   test_non_contig_index_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0586426Z   test_non_contig_index_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0586576Z   test_non_contig_index_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0586757Z   test_non_contig_index_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0586894Z   test_non_contig_index_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587066Z   test_non_contig_index_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587216Z   test_non_contig_index_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587357Z   test_non_contig_index_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587501Z   test_non_contig_index_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587642Z   test_non_contig_index_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587781Z   test_non_contig_index_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0587924Z   test_non_contig_index_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588054Z   test_non_contig_index_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588211Z   test_non_contig_index_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588366Z   test_non_contig_index_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588528Z   test_non_contig_index_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588687Z   test_non_contig_index_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588840Z   test_non_contig_index_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0588992Z   test_non_contig_index_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0589143Z   test_non_contig_index_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0589293Z   test_non_contig_index_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0589436Z   test_non_contig_index_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0589584Z   test_non_contig_index_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0589734Z   test_non_contig_index_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0589885Z   test_non_contig_index_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590033Z   test_non_contig_index_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590180Z   test_non_contig_index_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590326Z   test_non_contig_index_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590472Z   test_non_contig_index_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590602Z   test_non_contig_index_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590741Z   test_non_contig_index_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0590886Z   test_non_contig_index_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591025Z   test_non_contig_index_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591186Z   test_non_contig_index_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591345Z   test_non_contig_index_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591498Z   test_non_contig_index_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591655Z   test_non_contig_index_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591809Z   test_non_contig_index_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0591977Z   test_non_contig_index_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0592167Z   test_non_contig_index_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0592334Z   test_non_contig_index_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0592498Z   test_non_contig_index_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0592645Z   test_non_contig_index_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0592790Z   test_non_contig_index_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0592942Z   test_non_contig_index_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0593090Z   test_non_contig_index_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0593324Z   test_non_contig_index_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0593463Z   test_non_contig_index_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0593609Z   test_non_contig_index_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0593748Z   test_non_contig_index_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0593884Z   test_non_contig_index_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594028Z   test_non_contig_index_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594168Z   test_non_contig_index_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594314Z   test_non_contig_index_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594460Z   test_non_contig_index_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594601Z   test_non_contig_index_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594750Z   test_non_contig_index_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0594897Z   test_non_contig_index_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595040Z   test_non_contig_index_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595178Z   test_non_contig_index_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595315Z   test_non_contig_index_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595459Z   test_non_contig_index_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595599Z   test_non_contig_index_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595721Z   test_non_contig_index_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0595865Z   test_non_contig_index_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596004Z   test_non_contig_index_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596153Z   test_non_contig_index_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596299Z   test_non_contig_index_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596450Z   test_non_contig_index_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596600Z   test_non_contig_index_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596747Z   test_non_contig_index_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0596894Z   test_non_contig_index_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597027Z   test_non_contig_index_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597205Z   test_non_contig_index_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597373Z   test_non_contig_index_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597512Z   test_non_contig_index_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597657Z   test_non_contig_index_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597796Z   test_non_contig_index_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0597948Z   test_non_contig_index_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598097Z   test_non_contig_index_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598241Z   test_non_contig_index_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598398Z   test_non_contig_index_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598549Z   test_non_contig_index_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598700Z   test_non_contig_index_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598846Z   test_non_contig_index_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0598992Z   test_non_contig_index_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599136Z   test_non_contig_index_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599284Z   test_non_contig_index_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599417Z   test_non_contig_index_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599562Z   test_non_contig_index_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599706Z   test_non_contig_index_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599850Z   test_non_contig_index_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0599995Z   test_non_contig_index_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600139Z   test_non_contig_index_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600285Z   test_non_contig_index_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600425Z   test_non_contig_index_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600563Z   test_non_contig_index_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600693Z   test_non_contig_index_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600833Z   test_non_contig_index_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0600985Z   test_non_contig_index_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0601129Z   test_non_contig_index_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0601282Z   test_non_contig_index_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0601432Z   test_non_contig_index_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0601580Z   test_non_contig_index_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0601728Z   test_non_contig_index_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0601861Z   test_non_contig_index_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602007Z   test_non_contig_index_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602150Z   test_non_contig_index_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602327Z   test_non_contig_index_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602504Z   test_non_contig_index_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602651Z   test_non_contig_index_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602800Z   test_non_contig_index_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0602946Z   test_non_contig_index_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0603078Z   test_non_contig_index_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0603220Z   test_non_contig_index_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0603465Z   test_non_contig_index_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0603607Z   test_non_contig_index_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0603746Z   test_non_contig_index_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0603891Z   test_non_contig_index_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604030Z   test_non_contig_index_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604180Z   test_non_contig_index_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604326Z   test_non_contig_index_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604463Z   test_non_contig_index_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604614Z   test_non_contig_index_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604760Z   test_non_contig_index_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0604909Z   test_non_contig_index_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605052Z   test_non_contig_index_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605195Z   test_non_contig_index_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605333Z   test_non_contig_index_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605474Z   test_non_contig_index_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605605Z   test_non_contig_index_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605753Z   test_non_contig_index_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0605894Z   test_non_contig_index_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606044Z   test_non_contig_index_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606195Z   test_non_contig_index_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606339Z   test_non_contig_index_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606486Z   test_non_contig_index_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606626Z   test_non_contig_index_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606753Z   test_non_contig_index_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0606890Z   test_non_contig_index_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0607029Z   test_non_contig_index_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0607165Z   test_non_contig_index_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0607322Z   test_non_contig_index_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0607530Z   test_non_contig_index_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0607690Z   test_non_contig_index_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0607895Z   test_non_contig_index_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608058Z   test_non_contig_index_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608202Z   test_non_contig_index_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608357Z   test_non_contig_index_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608513Z   test_non_contig_index_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608670Z   test_non_contig_index_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608835Z   test_non_contig_index_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0608993Z   test_non_contig_index_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0609150Z   test_non_contig_index_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0609307Z   test_non_contig_index_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0609465Z   test_non_contig_index_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0609608Z   test_non_contig_index_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0609763Z   test_non_contig_index_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0609922Z   test_non_contig_index_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0610083Z   test_non_contig_index_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0610240Z   test_non_contig_index_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0610398Z   test_non_contig_index_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0610556Z   test_non_contig_index_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0610709Z   test_non_contig_index_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0610851Z   test_non_contig_index_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611006Z   test_non_contig_index_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611163Z   test_non_contig_index_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611321Z   test_non_contig_index_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611478Z   test_non_contig_index_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611633Z   test_non_contig_index_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611789Z   test_non_contig_index_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0611941Z   test_non_contig_index_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0612094Z   test_non_contig_index_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0612235Z   test_non_contig_index_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0612392Z   test_non_contig_index_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0612551Z   test_non_contig_index_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0612740Z   test_non_contig_index_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0612923Z   test_non_contig_index_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613081Z   test_non_contig_index_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613234Z   test_non_contig_index_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613389Z   test_non_contig_index_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613541Z   test_non_contig_index_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613685Z   test_non_contig_index_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613840Z   test_non_contig_index_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0613998Z   test_non_contig_index_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0614153Z   test_non_contig_index_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0614307Z   test_non_contig_index_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0614458Z   test_non_contig_index_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0614605Z   test_non_contig_index_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0614757Z   test_non_contig_index_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0614893Z   test_non_contig_index_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615044Z   test_non_contig_index_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615203Z   test_non_contig_index_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615362Z   test_non_contig_index_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615514Z   test_non_contig_index_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615667Z   test_non_contig_index_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615815Z   test_non_contig_index_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0615964Z   test_non_contig_index_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0616111Z   test_non_contig_index_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0616256Z   test_non_contig_index_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0616411Z   test_non_contig_index_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0616565Z   test_non_contig_index_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0616721Z   test_non_contig_index_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0616874Z   test_non_contig_index_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617026Z   test_non_contig_index_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617173Z   test_non_contig_index_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617322Z   test_non_contig_index_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617469Z   test_non_contig_index_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617607Z   test_non_contig_index_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617787Z   test_non_contig_index_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0617966Z   test_non_contig_index_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0618118Z   test_non_contig_index_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0618266Z   test_non_contig_index_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0618412Z   test_non_contig_index_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0618560Z   test_non_contig_index_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0618708Z   test_non_contig_index_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0618846Z   test_non_contig_index_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619002Z   test_non_contig_index_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619155Z   test_non_contig_index_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619309Z   test_non_contig_index_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619458Z   test_non_contig_index_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619606Z   test_non_contig_index_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619756Z   test_non_contig_index_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0619903Z   test_non_contig_index_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0620063Z   test_non_contig_index_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0620214Z   test_non_contig_index_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0620374Z   test_non_contig_index_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0620535Z   test_non_contig_index_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0620694Z   test_non_contig_index_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0620850Z   test_non_contig_index_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0621006Z   test_non_contig_index_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0621162Z   test_non_contig_index_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0621332Z   test_non_contig_index_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0621493Z   test_non_contig_index_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0621668Z   test_non_contig_index_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0621840Z   test_non_contig_index_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0622012Z   test_non_contig_index_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0622175Z   test_non_contig_index_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0622342Z   test_non_contig_index_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0622510Z   test_non_contig_index_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0622678Z   test_non_contig_index_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0622881Z   test_non_contig_index_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0623082Z   test_non_contig_index_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0623237Z   test_non_contig_index_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0623405Z   test_non_contig_index_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0623567Z   test_non_contig_index_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0623735Z   test_non_contig_index_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0623901Z   test_non_contig_index_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0624067Z   test_non_contig_index_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0624240Z   test_non_contig_index_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0624412Z   test_non_contig_index_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0624577Z   test_non_contig_index_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0624730Z   test_non_contig_index_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0624895Z   test_non_contig_index_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0625060Z   test_non_contig_index_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0625227Z   test_non_contig_index_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0625396Z   test_non_contig_index_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0625565Z   test_non_contig_index_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0625735Z   test_non_contig_index_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0625900Z   test_non_contig_index_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0626063Z   test_non_contig_index_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0626212Z   test_non_contig_index_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0626379Z   test_non_contig_index_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0626546Z   test_non_contig_index_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0626706Z   test_non_contig_index_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0626863Z   test_non_contig_index_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627020Z   test_non_contig_index_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627176Z   test_non_contig_index_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627328Z   test_non_contig_index_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627481Z   test_non_contig_index_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627619Z   test_non_contig_index_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627771Z   test_non_contig_index_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0627962Z   test_non_contig_index_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0628138Z   test_non_contig_index_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0628299Z   test_non_contig_index_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0628456Z   test_non_contig_index_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0628610Z   test_non_contig_index_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0628764Z   test_non_contig_index_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0628901Z   test_non_contig_index_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0629051Z   test_non_contig_index_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0629202Z   test_non_contig_index_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0629394Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0629586Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0629775Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0629963Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0630150Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0630336Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0630511Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0630698Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0630884Z   test_non_contig_index_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0631065Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0631243Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0631418Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0631592Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0631770Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0631946Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0632121Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0632281Z   test_non_contig_index_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0632457Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0632635Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0632806Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0632978Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0633182Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0633496Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0633679Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0633851Z   test_non_contig_index_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0634011Z   test_non_contig_index_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0634184Z   test_non_contig_index_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0634356Z   test_non_contig_index_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0634530Z   test_non_contig_index_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0634705Z   test_non_contig_index_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0634874Z   test_non_contig_index_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635041Z   test_non_contig_index_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635207Z   test_non_contig_index_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635356Z   test_non_contig_index_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635488Z   test_non_contig_index_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635639Z   test_non_contig_index_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635792Z   test_non_contig_index_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0635943Z   test_non_contig_index_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636091Z   test_non_contig_index_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636239Z   test_non_contig_index_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636380Z   test_non_contig_index_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636516Z   test_non_contig_index_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636659Z   test_non_contig_index_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636785Z   test_non_contig_index_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0636938Z   test_non_contig_index_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637085Z   test_non_contig_index_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637239Z   test_non_contig_index_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637392Z   test_non_contig_index_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637540Z   test_non_contig_index_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637688Z   test_non_contig_index_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637836Z   test_non_contig_index_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0637971Z   test_non_contig_index_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0638116Z   test_non_contig_index_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0638293Z   test_non_contig_index_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0638439Z   test_non_contig_index_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0638611Z   test_non_contig_index_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0638760Z   test_non_contig_index_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0638901Z   test_non_contig_index_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639048Z   test_non_contig_index_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639184Z   test_non_contig_index_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639329Z   test_non_contig_index_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639468Z   test_non_contig_index_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639613Z   test_non_contig_index_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639751Z   test_non_contig_index_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0639889Z   test_non_contig_index_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640032Z   test_non_contig_index_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640174Z   test_non_contig_index_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640322Z   test_non_contig_index_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640449Z   test_non_contig_index_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640600Z   test_non_contig_index_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640749Z   test_non_contig_index_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0640896Z   test_non_contig_index_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641041Z   test_non_contig_index_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641189Z   test_non_contig_index_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641329Z   test_non_contig_index_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641466Z   test_non_contig_index_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641593Z   test_non_contig_index_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641732Z   test_non_contig_index_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0641879Z   test_non_contig_index_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642027Z   test_non_contig_index_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642176Z   test_non_contig_index_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642324Z   test_non_contig_index_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642464Z   test_non_contig_index_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642601Z   test_non_contig_index_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642733Z   test_non_contig_index_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0642872Z   test_non_contig_index_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0643013Z   test_non_contig_int_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0643148Z   test_non_contig_int_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0643290Z   test_non_contig_int_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0643568Z   test_non_contig_int_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0643709Z   test_non_contig_int_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0643937Z   test_non_contig_int_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644081Z   test_non_contig_int_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644205Z   test_non_contig_int_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644340Z   test_non_contig_int_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644475Z   test_non_contig_int_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644612Z   test_non_contig_int_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644745Z   test_non_contig_int_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0644894Z   test_non_contig_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0645038Z   test_non_contig_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0645192Z   test_non_contig_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0645328Z   test_non_contig_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0645477Z   test_non_contig_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0645620Z   test_non_contig_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0645760Z   test_non_contig_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0645898Z   test_non_contig_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646041Z   test_non_contig_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646181Z   test_non_contig_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646317Z   test_non_contig_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646447Z   test_non_contig_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646594Z   test_non_contig_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646732Z   test_non_contig_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0646872Z   test_non_contig_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647017Z   test_non_contig_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647160Z   test_non_contig_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0647303Z   test_non_contig_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647446Z   test_non_contig_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647576Z   test_non_contig_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647716Z   test_non_contig_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647855Z   test_non_contig_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0647992Z   test_non_contig_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0648130Z   test_non_contig_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0648266Z   test_non_contig_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0648402Z   test_non_contig_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0648545Z   test_non_contig_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0648671Z   test_non_contig_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0648855Z   test_non_contig_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649026Z   test_non_contig_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649172Z   test_non_contig_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649310Z   test_non_contig_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649450Z   test_non_contig_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649586Z   test_non_contig_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649722Z   test_non_contig_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649848Z   test_non_contig_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0649987Z   test_non_contig_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650124Z   test_non_contig_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650271Z   test_non_contig_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650414Z   test_non_contig_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650561Z   test_non_contig_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650703Z   test_non_contig_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650842Z   test_non_contig_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0650983Z   test_non_contig_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651110Z   test_non_contig_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651246Z   test_non_contig_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651390Z   test_non_contig_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651533Z   test_non_contig_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651681Z   test_non_contig_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651826Z   test_non_contig_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0651974Z   test_non_contig_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652117Z   test_non_contig_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652244Z   test_non_contig_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652387Z   test_non_contig_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652525Z   test_non_contig_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652663Z   test_non_contig_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652805Z   test_non_contig_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0652949Z   test_non_contig_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653093Z   test_non_contig_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653233Z   test_non_contig_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653368Z   test_non_contig_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653513Z   test_non_contig_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653653Z   test_non_contig_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653795Z   test_non_contig_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0653965Z   test_non_contig_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0654100Z   test_non_contig_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0654267Z   test_non_contig_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0654408Z   test_non_contig_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0654535Z   test_non_contig_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0654721Z   test_non_contig_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0654859Z   test_non_contig_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0655038Z   test_non_contig_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0655212Z   test_non_contig_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0655394Z   test_non_contig_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0655575Z   test_non_contig_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0655750Z   test_non_contig_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0655925Z   test_non_contig_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0656086Z   test_non_contig_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0656258Z   test_non_contig_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0656427Z   test_non_contig_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0656598Z   test_non_contig_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0656767Z   test_non_contig_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0656936Z   test_non_contig_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0657082Z   test_non_contig_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0657224Z   test_non_contig_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0657367Z   test_non_contig_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0657494Z   test_non_contig_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0657636Z   test_non_contig_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0657777Z   test_non_contig_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0657919Z   test_non_contig_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658057Z   test_non_contig_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658197Z   test_non_contig_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658340Z   test_non_contig_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658478Z   test_non_contig_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658611Z   test_non_contig_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658754Z   test_non_contig_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0658893Z   test_non_contig_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659035Z   test_non_contig_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659203Z   test_non_contig_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659341Z   test_non_contig_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659503Z   test_non_contig_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659642Z   test_non_contig_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659764Z   test_non_contig_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0659908Z   test_non_contig_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660045Z   test_non_contig_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660190Z   test_non_contig_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660333Z   test_non_contig_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660476Z   test_non_contig_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660616Z   test_non_contig_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660754Z   test_non_contig_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0660892Z   test_non_contig_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661017Z   test_non_contig_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661157Z   test_non_contig_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661333Z   test_non_contig_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661477Z   test_non_contig_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661615Z   test_non_contig_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661759Z   test_non_contig_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0661903Z   test_non_contig_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662047Z   test_non_contig_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662174Z   test_non_contig_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662309Z   test_non_contig_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662449Z   test_non_contig_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662584Z   test_non_contig_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662720Z   test_non_contig_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662854Z   test_non_contig_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0662994Z   test_non_contig_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663133Z   test_non_contig_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663264Z   test_non_contig_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663409Z   test_non_contig_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663547Z   test_non_contig_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663684Z   test_non_contig_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663819Z   test_non_contig_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0663955Z   test_non_contig_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0664088Z   test_non_contig_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0664223Z   test_non_contig_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0664376Z   test_non_contig_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0664528Z   test_non_contig_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0664700Z   test_non_contig_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0664857Z   test_non_contig_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0665010Z   test_non_contig_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0665160Z   test_non_contig_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0665308Z   test_non_contig_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0665455Z   test_non_contig_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0665589Z   test_non_contig_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0665733Z   test_non_contig_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0665872Z   test_non_contig_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0666018Z   test_non_contig_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0666158Z   test_non_contig_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0666301Z   test_non_contig_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0666440Z   test_non_contig_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0666585Z   test_non_contig_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0666726Z   test_non_contig_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0666853Z   test_non_contig_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0666993Z   test_non_contig_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0667131Z   test_non_contig_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0667270Z   test_non_contig_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0667406Z   test_non_contig_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0667549Z   test_non_contig_long_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0667686Z   test_non_contig_long_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0667832Z   test_non_contig_long_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0667964Z   test_non_contig_long_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668105Z   test_non_contig_long_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668245Z   test_non_contig_long_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668389Z   test_non_contig_long_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668530Z   test_non_contig_long_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668668Z   test_non_contig_long_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668806Z   test_non_contig_long_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0668943Z   test_non_contig_long_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0669065Z   test_non_contig_long_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0669199Z   test_non_contig_long_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0669366Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0669525Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0669718Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0669909Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0670071Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0670228Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0670386Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0670529Z   test_non_contig_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0670690Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0670847Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671006Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671166Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671319Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671472Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671627Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671769Z   test_non_contig_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0671931Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0672088Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0672247Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0672402Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0672556Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0672710Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0672866Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0673018Z   test_non_contig_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0673154Z   test_non_contig_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0673359Z   test_non_contig_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0673509Z   test_non_contig_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0673658Z   test_non_contig_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0673806Z   test_non_contig_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0673950Z   test_non_contig_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0674090Z   test_non_contig_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0674227Z   test_non_contig_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0674356Z   test_non_contig_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0674495Z   test_non_contig_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0674637Z   test_non_contig_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0674816Z   test_non_contig_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0674961Z   test_non_contig_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0675129Z   test_non_contig_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0675271Z   test_non_contig_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0675409Z   test_non_contig_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0675535Z   test_non_contig_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0675671Z   test_non_contig_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0675807Z   test_non_contig_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0675939Z   test_non_contig_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0676073Z   test_non_contig_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0676209Z   test_non_contig_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0676367Z   test_non_contig_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0676524Z   test_non_contig_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0676679Z   test_non_contig_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0676822Z   test_non_contig_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0676977Z   test_non_contig_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0677130Z   test_non_contig_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0677296Z   test_non_contig_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0677462Z   test_non_contig_nn_functional_hardshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0677621Z   test_non_contig_nn_functional_hardshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0677792Z   test_non_contig_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0677958Z   test_non_contig_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0678106Z   test_non_contig_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0678268Z   test_non_contig_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0678429Z   test_non_contig_nn_functional_hardtanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0678582Z   test_non_contig_nn_functional_hardtanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0678744Z   test_non_contig_nn_functional_hardtanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0678903Z   test_non_contig_nn_functional_hardtanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0679063Z   test_non_contig_nn_functional_hardtanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0679221Z   test_non_contig_nn_functional_hardtanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0679385Z   test_non_contig_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0679537Z   test_non_contig_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0679696Z   test_non_contig_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0679854Z   test_non_contig_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680037Z   test_non_contig_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680191Z   test_non_contig_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680387Z   test_non_contig_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680544Z   test_non_contig_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680699Z   test_non_contig_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680856Z   test_non_contig_nn_functional_relu6_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0680998Z   test_non_contig_nn_functional_relu6_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0681150Z   test_non_contig_nn_functional_relu6_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0681305Z   test_non_contig_nn_functional_relu6_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0681456Z   test_non_contig_nn_functional_relu6_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0681604Z   test_non_contig_nn_functional_relu6_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0681757Z   test_non_contig_nn_functional_relu6_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0681904Z   test_non_contig_nn_functional_relu6_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0682058Z   test_non_contig_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0682213Z   test_non_contig_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0682355Z   test_non_contig_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0682507Z   test_non_contig_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0682660Z   test_non_contig_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0682810Z   test_non_contig_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0682962Z   test_non_contig_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0683112Z   test_non_contig_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0683270Z   test_non_contig_nn_functional_rrelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0683527Z   test_non_contig_nn_functional_rrelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0683669Z   test_non_contig_nn_functional_rrelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0683825Z   test_non_contig_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0683980Z   test_non_contig_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0684138Z   test_non_contig_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0684310Z   test_non_contig_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0684480Z   test_non_contig_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0684636Z   test_non_contig_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0684790Z   test_non_contig_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0684944Z   test_non_contig_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0685094Z   test_non_contig_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0685300Z   test_non_contig_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0685490Z   test_non_contig_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0685657Z   test_non_contig_nn_functional_softshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0685822Z   test_non_contig_nn_functional_softshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0685981Z   test_non_contig_nn_functional_softshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0686140Z   test_non_contig_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0686301Z   test_non_contig_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0686463Z   test_non_contig_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0686610Z   test_non_contig_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0686767Z   test_non_contig_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0686920Z   test_non_contig_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0687077Z   test_non_contig_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0687237Z   test_non_contig_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0687395Z   test_non_contig_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0687551Z   test_non_contig_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0687705Z   test_non_contig_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0687861Z   test_non_contig_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688032Z   test_non_contig_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688199Z   test_non_contig_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688365Z   test_non_contig_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688524Z   test_non_contig_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688683Z   test_non_contig_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688840Z   test_non_contig_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0688992Z   test_non_contig_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0689151Z   test_non_contig_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0689300Z   test_non_contig_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0689461Z   test_non_contig_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0689619Z   test_non_contig_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0689773Z   test_non_contig_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0689931Z   test_non_contig_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0690089Z   test_non_contig_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0690248Z   test_non_contig_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0690435Z   test_non_contig_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0690620Z   test_non_contig_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0690774Z   test_non_contig_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0690935Z   test_non_contig_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0691099Z   test_non_contig_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0691261Z   test_non_contig_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0691422Z   test_non_contig_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0691582Z   test_non_contig_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0691741Z   test_non_contig_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0691900Z   test_non_contig_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0692056Z   test_non_contig_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0692208Z   test_non_contig_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0692368Z   test_non_contig_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0692529Z   test_non_contig_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0692685Z   test_non_contig_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0692840Z   test_non_contig_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693000Z   test_non_contig_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693157Z   test_non_contig_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693314Z   test_non_contig_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693470Z   test_non_contig_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693621Z   test_non_contig_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693779Z   test_non_contig_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0693938Z   test_non_contig_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0694096Z   test_non_contig_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0694255Z   test_non_contig_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0694416Z   test_non_contig_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0694570Z   test_non_contig_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0694724Z   test_non_contig_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0694866Z   test_non_contig_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0695030Z   test_non_contig_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0695187Z   test_non_contig_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0695347Z   test_non_contig_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0695535Z   test_non_contig_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0695716Z   test_non_contig_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0695876Z   test_non_contig_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696031Z   test_non_contig_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696187Z   test_non_contig_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696328Z   test_non_contig_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696492Z   test_non_contig_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696649Z   test_non_contig_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696811Z   test_non_contig_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0696971Z   test_non_contig_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0697130Z   test_non_contig_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0697287Z   test_non_contig_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0697442Z   test_non_contig_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0697597Z   test_non_contig_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0697740Z   test_non_contig_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0697886Z   test_non_contig_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698036Z   test_non_contig_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698186Z   test_non_contig_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698335Z   test_non_contig_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698480Z   test_non_contig_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698622Z   test_non_contig_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698761Z   test_non_contig_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0698893Z   test_non_contig_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0699031Z   test_non_contig_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0699167Z   test_non_contig_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0699310Z   test_non_contig_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0699453Z   test_non_contig_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0699601Z   test_non_contig_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0699742Z   test_non_contig_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0699888Z   test_non_contig_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700019Z   test_non_contig_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700157Z   test_non_contig_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700299Z   test_non_contig_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700441Z   test_non_contig_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700613Z   test_non_contig_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700755Z   test_non_contig_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0700922Z   test_non_contig_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0701064Z   test_non_contig_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0701202Z   test_non_contig_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0701335Z   test_non_contig_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0701478Z   test_non_contig_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0701618Z   test_non_contig_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0701758Z   test_non_contig_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0701897Z   test_non_contig_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0702037Z   test_non_contig_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0702177Z   test_non_contig_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0702314Z   test_non_contig_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0702440Z   test_non_contig_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0702578Z   test_non_contig_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0702712Z   test_non_contig_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0702863Z   test_non_contig_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0703010Z   test_non_contig_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0703163Z   test_non_contig_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0703318Z   test_non_contig_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0703468Z   test_non_contig_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0703604Z   test_non_contig_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0703753Z   test_non_contig_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0703898Z   test_non_contig_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704041Z   test_non_contig_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704181Z   test_non_contig_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704326Z   test_non_contig_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704466Z   test_non_contig_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704612Z   test_non_contig_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704743Z   test_non_contig_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0704885Z   test_non_contig_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0709898Z   test_non_contig_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0710066Z   test_non_contig_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0710210Z   test_non_contig_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0710353Z   test_non_contig_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0710494Z   test_non_contig_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0710652Z   test_non_contig_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0710893Z   test_non_contig_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0711071Z   test_non_contig_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0711229Z   test_non_contig_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0711377Z   test_non_contig_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0711530Z   test_non_contig_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0711692Z   test_non_contig_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0711856Z   test_non_contig_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712016Z   test_non_contig_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712166Z   test_non_contig_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712293Z   test_non_contig_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712445Z   test_non_contig_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712592Z   test_non_contig_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712734Z   test_non_contig_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0712878Z   test_non_contig_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713018Z   test_non_contig_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713157Z   test_non_contig_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713398Z   test_non_contig_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713543Z   test_non_contig_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713667Z   test_non_contig_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713812Z   test_non_contig_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0713951Z   test_non_contig_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0714098Z   test_non_contig_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0714242Z   test_non_contig_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0714385Z   test_non_contig_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0714524Z   test_non_contig_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0714663Z   test_non_contig_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0714787Z   test_non_contig_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0714926Z   test_non_contig_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715064Z   test_non_contig_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715200Z   test_non_contig_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715340Z   test_non_contig_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715474Z   test_non_contig_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715620Z   test_non_contig_short_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715760Z   test_non_contig_short_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0715894Z   test_non_contig_short_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716041Z   test_non_contig_short_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716217Z   test_non_contig_short_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716357Z   test_non_contig_short_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716523Z   test_non_contig_short_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716668Z   test_non_contig_short_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716804Z   test_non_contig_short_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0716942Z   test_non_contig_short_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0717068Z   test_non_contig_short_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0717205Z   test_non_contig_short_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0717352Z   test_non_contig_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0717495Z   test_non_contig_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0717647Z   test_non_contig_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0717797Z   test_non_contig_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0717940Z   test_non_contig_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718080Z   test_non_contig_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718209Z   test_non_contig_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718351Z   test_non_contig_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718490Z   test_non_contig_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718633Z   test_non_contig_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718771Z   test_non_contig_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0718910Z   test_non_contig_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0719050Z   test_non_contig_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0719190Z   test_non_contig_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0719317Z   test_non_contig_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0719456Z   test_non_contig_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0719592Z   test_non_contig_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0719730Z   test_non_contig_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0719866Z   test_non_contig_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720002Z   test_non_contig_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720140Z   test_non_contig_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720286Z   test_non_contig_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720416Z   test_non_contig_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720562Z   test_non_contig_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720701Z   test_non_contig_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720838Z   test_non_contig_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0720979Z   test_non_contig_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0721119Z   test_non_contig_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0721259Z   test_non_contig_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0721431Z   test_non_contig_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0721569Z   test_non_contig_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0721740Z   test_non_contig_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0721881Z   test_non_contig_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722025Z   test_non_contig_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722163Z   test_non_contig_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722302Z   test_non_contig_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722440Z   test_non_contig_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722576Z   test_non_contig_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722711Z   test_non_contig_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722835Z   test_non_contig_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0722976Z   test_non_contig_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0723108Z   test_non_contig_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0723248Z   test_non_contig_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0723502Z   test_non_contig_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0723649Z   test_non_contig_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0723794Z   test_non_contig_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0723938Z   test_non_contig_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724064Z   test_non_contig_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724205Z   test_non_contig_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724344Z   test_non_contig_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724483Z   test_non_contig_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724622Z   test_non_contig_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724757Z   test_non_contig_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0724901Z   test_non_contig_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725038Z   test_non_contig_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725173Z   test_non_contig_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725319Z   test_non_contig_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725463Z   test_non_contig_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725604Z   test_non_contig_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725745Z   test_non_contig_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0725883Z   test_non_contig_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726019Z   test_non_contig_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726156Z   test_non_contig_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726277Z   test_non_contig_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726430Z   test_non_contig_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726587Z   test_non_contig_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726741Z   test_non_contig_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0726944Z   test_non_contig_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0727136Z   test_non_contig_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0727289Z   test_non_contig_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0727440Z   test_non_contig_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0727589Z   test_non_contig_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0727730Z   test_non_contig_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0727889Z   test_non_contig_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728043Z   test_non_contig_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728200Z   test_non_contig_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728352Z   test_non_contig_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728503Z   test_non_contig_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728652Z   test_non_contig_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728798Z   test_non_contig_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0728932Z   test_non_contig_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729084Z   test_non_contig_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729233Z   test_non_contig_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729379Z   test_non_contig_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729530Z   test_non_contig_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729674Z   test_non_contig_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729820Z   test_non_contig_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0729964Z   test_non_contig_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730109Z   test_non_contig_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730246Z   test_non_contig_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730397Z   test_non_contig_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730542Z   test_non_contig_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730691Z   test_non_contig_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730837Z   test_non_contig_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0730986Z   test_non_contig_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0731128Z   test_non_contig_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0731274Z   test_non_contig_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0731410Z   test_non_contig_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0731561Z   test_non_contig_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0731704Z   test_non_contig_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0731912Z   test_non_contig_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732055Z   test_non_contig_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732231Z   test_non_contig_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732377Z   test_non_contig_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732529Z   test_non_contig_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732679Z   test_non_contig_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732817Z   test_non_contig_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0732966Z   test_non_contig_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0733116Z   test_non_contig_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0733267Z   test_non_contig_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0733415Z   test_non_contig_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0733566Z   test_non_contig_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0733714Z   test_non_contig_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0733864Z   test_non_contig_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734001Z   test_non_contig_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734152Z   test_non_contig_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734299Z   test_non_contig_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734447Z   test_non_contig_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734597Z   test_non_contig_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734748Z   test_non_contig_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0734894Z   test_non_contig_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735044Z   test_non_contig_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735191Z   test_non_contig_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735324Z   test_non_contig_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735470Z   test_non_contig_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735616Z   test_non_contig_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735755Z   test_non_contig_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0735896Z   test_non_contig_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736042Z   test_non_contig_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736181Z   test_non_contig_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736329Z   test_non_contig_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736464Z   test_non_contig_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736609Z   test_non_contig_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736753Z   test_non_contig_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0736897Z   test_non_contig_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737038Z   test_non_contig_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737225Z   test_non_contig_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737394Z   test_non_contig_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737536Z   test_non_contig_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737670Z   test_non_contig_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737817Z   test_non_contig_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0737962Z   test_non_contig_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738107Z   test_non_contig_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738247Z   test_non_contig_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738394Z   test_non_contig_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738535Z   test_non_contig_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738688Z   test_non_contig_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738844Z   test_non_contig_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0738986Z   test_non_contig_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0739141Z   test_non_contig_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0739293Z   test_non_contig_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0739445Z   test_non_contig_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0739595Z   test_non_contig_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0739750Z   test_non_contig_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0739916Z   test_non_contig_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0740085Z   test_non_contig_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0740239Z   test_non_contig_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0740406Z   test_non_contig_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0740570Z   test_non_contig_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0740729Z   test_non_contig_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0740891Z   test_non_contig_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0741052Z   test_non_contig_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0741213Z   test_non_contig_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0741380Z   test_non_contig_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0741545Z   test_non_contig_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0741694Z   test_non_contig_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0741853Z   test_non_contig_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0742008Z   test_non_contig_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0742169Z   test_non_contig_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0742355Z   test_non_contig_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0742538Z   test_non_contig_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0742704Z   test_non_contig_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0742869Z   test_non_contig_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743029Z   test_non_contig_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743176Z   test_non_contig_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743332Z   test_non_contig_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743493Z   test_non_contig_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743653Z   test_non_contig_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743811Z   test_non_contig_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0743976Z   test_non_contig_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0744140Z   test_non_contig_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0744299Z   test_non_contig_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0744454Z   test_non_contig_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0744596Z   test_non_contig_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0744756Z   test_non_contig_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0744916Z   test_non_contig_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745069Z   test_non_contig_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745217Z   test_non_contig_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745367Z   test_non_contig_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745516Z   test_non_contig_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745666Z   test_non_contig_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745802Z   test_non_contig_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0745950Z   test_non_contig_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746098Z   test_non_contig_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746245Z   test_non_contig_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746394Z   test_non_contig_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746546Z   test_non_contig_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746698Z   test_non_contig_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746847Z   test_non_contig_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0746995Z   test_non_contig_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0747131Z   test_non_contig_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0747278Z   test_non_contig_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0747458Z   test_non_contig_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0747673Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0747857Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0748043Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0748218Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0748395Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0748576Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0748744Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0748925Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0749100Z   test_non_contig_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0749272Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0749445Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0749619Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0749788Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0749959Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0750127Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0750283Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0750447Z   test_non_contig_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0750611Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0750781Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0750950Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0751116Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0751285Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0751448Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0751614Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0751765Z   test_non_contig_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0751930Z   test_non_contig_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0752098Z   test_non_contig_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0752266Z   test_non_contig_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0752431Z   test_non_contig_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0752618Z   test_non_contig_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0752799Z   test_non_contig_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0752965Z   test_non_contig_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0753121Z   test_non_contig_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0753317Z   test_non_contig_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0753464Z   test_non_contig_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0753612Z   test_non_contig_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0753757Z   test_non_contig_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0753902Z   test_non_contig_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754047Z   test_non_contig_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754190Z   test_non_contig_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754328Z   test_non_contig_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754453Z   test_non_contig_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754592Z   test_non_contig_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754729Z   test_non_contig_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0754873Z   test_non_contig_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0755014Z   test_non_contig_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0755165Z   test_non_contig_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0755317Z   test_non_contig_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0755463Z   test_non_contig_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0755590Z   test_non_contig_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0755728Z   test_non_contig_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0755870Z   test_non_contig_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0756014Z   test_non_contig_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0756156Z   test_non_contig_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0756293Z   test_non_contig_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0756431Z   test_non_contig_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0756570Z   test_non_contig_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0756695Z   test_non_contig_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0756838Z   test_non_contig_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0756982Z   test_non_contig_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757123Z   test_non_contig_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757261Z   test_non_contig_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757398Z   test_non_contig_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757534Z   test_non_contig_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757667Z   test_non_contig_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757843Z   test_non_contig_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0757965Z   test_non_contig_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758143Z   test_non_contig_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758284Z   test_non_contig_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758430Z   test_non_contig_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758574Z   test_non_contig_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758715Z   test_non_contig_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758856Z   test_non_contig_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0758996Z   test_non_contig_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759122Z   test_non_contig_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759258Z   test_non_contig_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759394Z   test_non_contig_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759530Z   test_non_contig_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759672Z   test_non_contig_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759814Z   test_non_contig_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0759957Z   test_non_contig_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0760097Z   test_non_contig_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0760223Z   test_non_contig_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0760361Z   test_non_contig_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0760499Z   test_non_contig_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0760637Z   test_non_contig_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0760776Z   test_nonzero_empty_cpu (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0760905Z   test_op_invert_cpu (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0761040Z   test_polygamma_neg_cpu (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0761207Z   test_reference_numerics_extremal_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0761381Z   test_reference_numerics_extremal_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0761566Z   test_reference_numerics_extremal_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0761732Z   test_reference_numerics_extremal_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0761896Z   test_reference_numerics_extremal_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0762057Z   test_reference_numerics_extremal_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0762220Z   test_reference_numerics_extremal_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0762402Z   test_reference_numerics_extremal_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0762583Z   test_reference_numerics_extremal_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0762746Z   test_reference_numerics_extremal_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0762892Z   test_reference_numerics_extremal_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0763059Z   test_reference_numerics_extremal_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0763270Z   test_reference_numerics_extremal_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0763608Z   test_reference_numerics_extremal_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0763778Z   test_reference_numerics_extremal_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0763937Z   test_reference_numerics_extremal_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0764104Z   test_reference_numerics_extremal_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0764274Z   test_reference_numerics_extremal_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0764443Z   test_reference_numerics_extremal_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0764593Z   test_reference_numerics_extremal_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0764749Z   test_reference_numerics_extremal_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0764906Z   test_reference_numerics_extremal_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0765062Z   test_reference_numerics_extremal_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0765245Z   test_reference_numerics_extremal_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0765428Z   test_reference_numerics_extremal_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0765592Z   test_reference_numerics_extremal_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0765755Z   test_reference_numerics_extremal_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0765922Z   test_reference_numerics_extremal_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0766094Z   test_reference_numerics_extremal_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0766279Z   test_reference_numerics_extremal_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0766444Z   test_reference_numerics_extremal_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0766605Z   test_reference_numerics_extremal_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0766766Z   test_reference_numerics_extremal_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0766946Z   test_reference_numerics_extremal_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0767127Z   test_reference_numerics_extremal_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0767291Z   test_reference_numerics_extremal_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0767453Z   test_reference_numerics_extremal_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0767603Z   test_reference_numerics_extremal_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0767785Z   test_reference_numerics_extremal_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0767966Z   test_reference_numerics_extremal_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0768128Z   test_reference_numerics_extremal_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0768285Z   test_reference_numerics_extremal_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0768480Z   test_reference_numerics_extremal_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0768639Z   test_reference_numerics_extremal_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0768822Z   test_reference_numerics_extremal_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0768986Z   test_reference_numerics_extremal_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0769139Z   test_reference_numerics_extremal_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0769303Z   test_reference_numerics_extremal_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0769463Z   test_reference_numerics_extremal_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0769622Z   test_reference_numerics_extremal_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0769782Z   test_reference_numerics_extremal_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0769959Z   test_reference_numerics_extremal_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0770139Z   test_reference_numerics_extremal_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0770316Z   test_reference_numerics_extremal_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0770490Z   test_reference_numerics_extremal_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0770650Z   test_reference_numerics_extremal_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0770818Z   test_reference_numerics_extremal_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0770978Z   test_reference_numerics_extremal_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0771146Z   test_reference_numerics_extremal_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0771314Z   test_reference_numerics_extremal_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0771477Z   test_reference_numerics_extremal_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0771640Z   test_reference_numerics_extremal_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0771803Z   test_reference_numerics_extremal_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0771956Z   test_reference_numerics_extremal_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0772122Z   test_reference_numerics_extremal_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0772280Z   test_reference_numerics_extremal_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0772441Z   test_reference_numerics_extremal_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0772611Z   test_reference_numerics_extremal_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0772776Z   test_reference_numerics_extremal_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0772936Z   test_reference_numerics_extremal_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0773092Z   test_reference_numerics_extremal_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0773255Z   test_reference_numerics_extremal_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0773402Z   test_reference_numerics_extremal_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0773560Z   test_reference_numerics_extremal_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0773750Z   test_reference_numerics_extremal_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0773934Z   test_reference_numerics_extremal_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0774096Z   test_reference_numerics_extremal_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0774259Z   test_reference_numerics_extremal_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0774417Z   test_reference_numerics_extremal_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0774575Z   test_reference_numerics_extremal_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0774743Z   test_reference_numerics_extremal_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0774893Z   test_reference_numerics_extremal_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0775054Z   test_reference_numerics_extremal_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0775218Z   test_reference_numerics_extremal_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0775379Z   test_reference_numerics_extremal_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0775538Z   test_reference_numerics_extremal_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0775695Z   test_reference_numerics_extremal_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0775873Z   test_reference_numerics_extremal_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0776053Z   test_reference_numerics_extremal_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0776234Z   test_reference_numerics_extremal_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0776385Z   test_reference_numerics_extremal_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0776546Z   test_reference_numerics_extremal_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0776724Z   test_reference_numerics_extremal_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0776887Z   test_reference_numerics_extremal_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0777043Z   test_reference_numerics_extremal_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0777199Z   test_reference_numerics_extremal_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0777365Z   test_reference_numerics_extremal_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0777528Z   test_reference_numerics_extremal_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0777687Z   test_reference_numerics_extremal_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0777837Z   test_reference_numerics_extremal_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0777997Z   test_reference_numerics_extremal_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0778160Z   test_reference_numerics_extremal_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0778321Z   test_reference_numerics_extremal_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0778476Z   test_reference_numerics_extremal_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0778654Z   test_reference_numerics_extremal_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0778831Z   test_reference_numerics_extremal_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0779036Z   test_reference_numerics_extremal_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0779233Z   test_reference_numerics_extremal_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0779386Z   test_reference_numerics_extremal_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0779550Z   test_reference_numerics_extremal_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0779707Z   test_reference_numerics_extremal_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0779864Z   test_reference_numerics_extremal_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0780023Z   test_reference_numerics_extremal_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0780185Z   test_reference_numerics_extremal_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0780343Z   test_reference_numerics_extremal_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0780514Z   test_reference_numerics_extremal_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0780678Z   test_reference_numerics_extremal_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0780833Z   test_reference_numerics_extremal_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781005Z   test_reference_numerics_extremal_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781177Z   test_reference_numerics_extremal_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781343Z   test_reference_numerics_extremal_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781506Z   test_reference_numerics_extremal_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781663Z   test_reference_numerics_extremal_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781828Z   test_reference_numerics_extremal_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0781990Z   test_reference_numerics_extremal_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0782142Z   test_reference_numerics_extremal_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0782304Z   test_reference_numerics_extremal_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0782461Z   test_reference_numerics_extremal_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0782616Z   test_reference_numerics_extremal_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0782781Z   test_reference_numerics_extremal_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0782944Z   test_reference_numerics_extremal_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0783108Z   test_reference_numerics_extremal_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0783265Z   test_reference_numerics_extremal_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0783421Z   test_reference_numerics_extremal_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0783562Z   test_reference_numerics_extremal_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0783729Z   test_reference_numerics_extremal_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0783895Z   test_reference_numerics_extremal_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0784086Z   test_reference_numerics_extremal_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0784272Z   test_reference_numerics_extremal_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0784438Z   test_reference_numerics_extremal_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0784598Z   test_reference_numerics_extremal_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0784755Z   test_reference_numerics_extremal_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0784912Z   test_reference_numerics_extremal_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0785064Z   test_reference_numerics_extremal_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0785231Z   test_reference_numerics_extremal_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0785401Z   test_reference_numerics_extremal_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0785566Z   test_reference_numerics_extremal_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0785725Z   test_reference_numerics_extremal_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0785881Z   test_reference_numerics_extremal_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0786080Z   test_reference_numerics_extremal_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0786279Z   test_reference_numerics_extremal_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0786473Z   test_reference_numerics_extremal_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0786668Z   test_reference_numerics_extremal_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0786854Z   test_reference_numerics_extremal_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0787049Z   test_reference_numerics_extremal_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0787231Z   test_reference_numerics_extremal_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0787393Z   test_reference_numerics_extremal_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0787551Z   test_reference_numerics_extremal_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0787707Z   test_reference_numerics_extremal_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0787873Z   test_reference_numerics_extremal_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0788039Z   test_reference_numerics_extremal_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0788201Z   test_reference_numerics_extremal_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0788346Z   test_reference_numerics_extremal_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0788503Z   test_reference_numerics_extremal_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0788670Z   test_reference_numerics_extremal_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0788839Z   test_reference_numerics_extremal_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0789003Z   test_reference_numerics_extremal_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0789190Z   test_reference_numerics_extremal_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0789373Z   test_reference_numerics_extremal_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0789555Z   test_reference_numerics_extremal_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0789736Z   test_reference_numerics_extremal_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0789886Z   test_reference_numerics_extremal_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0790046Z   test_reference_numerics_extremal_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0790205Z   test_reference_numerics_extremal_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0790367Z   test_reference_numerics_extremal_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0790532Z   test_reference_numerics_extremal_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0790693Z   test_reference_numerics_extremal_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0790856Z   test_reference_numerics_extremal_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0791028Z   test_reference_numerics_extremal_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0791202Z   test_reference_numerics_extremal_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0791364Z   test_reference_numerics_extremal_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0791535Z   test_reference_numerics_extremal_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0791704Z   test_reference_numerics_extremal_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0791875Z   test_reference_numerics_extremal_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0792043Z   test_reference_numerics_extremal_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0792206Z   test_reference_numerics_extremal_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0792365Z   test_reference_numerics_extremal_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0792563Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0792762Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0792946Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0793142Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0793408Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0793610Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0793808Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0794005Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0794200Z   test_reference_numerics_extremal_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.0794406Z   test_reference_numerics_extremal_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0794574Z   test_reference_numerics_extremal_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0794770Z   test_reference_numerics_extremal_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0794942Z   test_reference_numerics_extremal_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0795105Z   test_reference_numerics_extremal_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0795272Z   test_reference_numerics_extremal_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0795437Z   test_reference_numerics_extremal_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0795598Z   test_reference_numerics_extremal_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0795763Z   test_reference_numerics_extremal_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0795922Z   test_reference_numerics_extremal_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0796105Z   test_reference_numerics_extremal_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0796272Z   test_reference_numerics_extremal_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0796451Z   test_reference_numerics_extremal_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0796626Z   test_reference_numerics_extremal_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0796804Z   test_reference_numerics_extremal_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0796981Z   test_reference_numerics_extremal_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0797173Z   test_reference_numerics_extremal_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0797363Z   test_reference_numerics_extremal_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0797551Z   test_reference_numerics_extremal_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0797736Z   test_reference_numerics_extremal_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0797922Z   test_reference_numerics_extremal_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0798090Z   test_reference_numerics_extremal_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0798270Z   test_reference_numerics_extremal_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0798449Z   test_reference_numerics_extremal_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0798627Z   test_reference_numerics_extremal_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0798805Z   test_reference_numerics_extremal_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0798983Z   test_reference_numerics_extremal_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0799159Z   test_reference_numerics_extremal_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0799336Z   test_reference_numerics_extremal_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0799511Z   test_reference_numerics_extremal_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0799705Z   test_reference_numerics_extremal_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0799908Z   test_reference_numerics_extremal_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0800085Z   test_reference_numerics_extremal_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0800256Z   test_reference_numerics_extremal_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0800446Z   test_reference_numerics_extremal_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0800651Z   test_reference_numerics_extremal_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0800828Z   test_reference_numerics_extremal_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0801004Z   test_reference_numerics_extremal_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0801180Z   test_reference_numerics_extremal_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0801350Z   test_reference_numerics_extremal_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0801531Z   test_reference_numerics_extremal_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0801707Z   test_reference_numerics_extremal_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0801890Z   test_reference_numerics_extremal_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0802075Z   test_reference_numerics_extremal_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0802267Z   test_reference_numerics_extremal_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0802451Z   test_reference_numerics_extremal_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0802627Z   test_reference_numerics_extremal_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0802801Z   test_reference_numerics_extremal_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0802985Z   test_reference_numerics_extremal_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0803161Z   test_reference_numerics_extremal_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0803350Z   test_reference_numerics_extremal_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0803623Z   test_reference_numerics_extremal_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0803805Z   test_reference_numerics_extremal_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0803982Z   test_reference_numerics_extremal_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0804165Z   test_reference_numerics_extremal_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0804341Z   test_reference_numerics_extremal_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0804523Z   test_reference_numerics_extremal_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0804701Z   test_reference_numerics_extremal_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0804920Z   test_reference_numerics_extremal_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0805139Z   test_reference_numerics_extremal_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0805341Z   test_reference_numerics_extremal_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0805539Z   test_reference_numerics_extremal_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0805736Z   test_reference_numerics_extremal_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0805933Z   test_reference_numerics_extremal_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0806128Z   test_reference_numerics_extremal_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0806326Z   test_reference_numerics_extremal_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0806519Z   test_reference_numerics_extremal_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0806713Z   test_reference_numerics_extremal_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0806912Z   test_reference_numerics_extremal_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0807095Z   test_reference_numerics_extremal_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0807286Z   test_reference_numerics_extremal_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0807460Z   test_reference_numerics_extremal_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0807635Z   test_reference_numerics_extremal_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0807810Z   test_reference_numerics_extremal_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0807976Z   test_reference_numerics_extremal_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0808140Z   test_reference_numerics_extremal_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0808299Z   test_reference_numerics_extremal_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0808480Z   test_reference_numerics_extremal_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0808633Z   test_reference_numerics_extremal_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0808796Z   test_reference_numerics_extremal_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0808957Z   test_reference_numerics_extremal_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0809120Z   test_reference_numerics_extremal_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0809281Z   test_reference_numerics_extremal_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0809445Z   test_reference_numerics_extremal_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0809605Z   test_reference_numerics_extremal_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0809767Z   test_reference_numerics_extremal_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0809927Z   test_reference_numerics_extremal_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0810132Z   test_reference_numerics_extremal_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0810382Z   test_reference_numerics_extremal_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0810572Z   test_reference_numerics_extremal_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0810743Z   test_reference_numerics_extremal_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0810917Z   test_reference_numerics_extremal_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0811086Z   test_reference_numerics_extremal_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0811253Z   test_reference_numerics_extremal_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0811419Z   test_reference_numerics_extremal_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0811577Z   test_reference_numerics_extremal_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0811743Z   test_reference_numerics_extremal_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0811920Z   test_reference_numerics_extremal_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0812094Z   test_reference_numerics_extremal_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0812270Z   test_reference_numerics_extremal_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0812447Z   test_reference_numerics_extremal_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0812620Z   test_reference_numerics_extremal_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0812805Z   test_reference_numerics_extremal_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0812988Z   test_reference_numerics_extremal_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0813170Z   test_reference_numerics_extremal_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0813323Z   test_reference_numerics_extremal_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0813506Z   test_reference_numerics_extremal_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0813689Z   test_reference_numerics_extremal_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0813852Z   test_reference_numerics_extremal_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0814014Z   test_reference_numerics_extremal_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0814192Z   test_reference_numerics_extremal_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0814371Z   test_reference_numerics_extremal_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0814547Z   test_reference_numerics_extremal_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0814724Z   test_reference_numerics_extremal_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0814886Z   test_reference_numerics_extremal_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0815055Z   test_reference_numerics_extremal_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0815250Z   test_reference_numerics_extremal_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0815434Z   test_reference_numerics_extremal_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0815641Z   test_reference_numerics_extremal_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0815810Z   test_reference_numerics_extremal_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0815974Z   test_reference_numerics_extremal_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0816153Z   test_reference_numerics_extremal_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0816328Z   test_reference_numerics_extremal_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0816491Z   test_reference_numerics_extremal_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0816664Z   test_reference_numerics_extremal_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0816833Z   test_reference_numerics_extremal_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0816997Z   test_reference_numerics_extremal_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0817160Z   test_reference_numerics_extremal_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0817318Z   test_reference_numerics_extremal_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0817480Z   test_reference_numerics_extremal_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0817645Z   test_reference_numerics_extremal_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0817810Z   test_reference_numerics_extremal_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0817959Z   test_reference_numerics_extremal_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0818121Z   test_reference_numerics_extremal_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0818286Z   test_reference_numerics_extremal_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0818451Z   test_reference_numerics_extremal_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0818614Z   test_reference_numerics_extremal_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0818773Z   test_reference_numerics_extremal_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0818932Z   test_reference_numerics_extremal_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0819097Z   test_reference_numerics_extremal_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0819265Z   test_reference_numerics_extremal_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0819418Z   test_reference_numerics_extremal_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0819578Z   test_reference_numerics_extremal_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0819735Z   test_reference_numerics_extremal_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0819911Z   test_reference_numerics_extremal_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0820086Z   test_reference_numerics_extremal_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0820261Z   test_reference_numerics_extremal_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0820466Z   test_reference_numerics_extremal_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0820640Z   test_reference_numerics_extremal_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0820840Z   test_reference_numerics_extremal_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0821002Z   test_reference_numerics_extremal_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0821176Z   test_reference_numerics_extremal_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0821347Z   test_reference_numerics_extremal_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0821518Z   test_reference_numerics_extremal_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0821688Z   test_reference_numerics_extremal_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0821863Z   test_reference_numerics_extremal_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0822037Z   test_reference_numerics_extremal_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0822206Z   test_reference_numerics_extremal_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0822375Z   test_reference_numerics_extremal_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0822531Z   test_reference_numerics_extremal_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0822702Z   test_reference_numerics_extremal_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0822871Z   test_reference_numerics_extremal_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0823042Z   test_reference_numerics_extremal_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0823210Z   test_reference_numerics_extremal_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0823380Z   test_reference_numerics_extremal_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0823547Z   test_reference_numerics_extremal_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0823723Z   test_reference_numerics_extremal_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0823898Z   test_reference_numerics_extremal_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0824072Z   test_reference_numerics_extremal_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0824258Z   test_reference_numerics_extremal_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0824446Z   test_reference_numerics_extremal_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0824633Z   test_reference_numerics_extremal_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0824816Z   test_reference_numerics_extremal_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0824997Z   test_reference_numerics_extremal_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0825177Z   test_reference_numerics_extremal_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0825358Z   test_reference_numerics_extremal_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0825531Z   test_reference_numerics_extremal_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0825732Z   test_reference_numerics_extremal_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0825915Z   test_reference_numerics_extremal_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0826086Z   test_reference_numerics_extremal_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0826259Z   test_reference_numerics_extremal_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0826462Z   test_reference_numerics_extremal_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.0826663Z   test_reference_numerics_extremal_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.005s)
2023-01-11T21:23:12.0826858Z   test_reference_numerics_extremal_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.0827053Z   test_reference_numerics_extremal_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0827247Z   test_reference_numerics_extremal_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0827439Z   test_reference_numerics_extremal_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0827632Z   test_reference_numerics_extremal_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0827807Z   test_reference_numerics_extremal_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0827994Z   test_reference_numerics_extremal_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0828160Z   test_reference_numerics_extremal_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0828325Z   test_reference_numerics_extremal_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0828491Z   test_reference_numerics_extremal_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0828650Z   test_reference_numerics_extremal_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0828812Z   test_reference_numerics_extremal_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0828976Z   test_reference_numerics_extremal_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0829147Z   test_reference_numerics_extremal_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0829303Z   test_reference_numerics_extremal_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0829469Z   test_reference_numerics_extremal_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0829627Z   test_reference_numerics_extremal_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0829786Z   test_reference_numerics_extremal_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0829964Z   test_reference_numerics_extremal_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0830129Z   test_reference_numerics_extremal_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0830294Z   test_reference_numerics_extremal_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0830455Z   test_reference_numerics_extremal_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0830617Z   test_reference_numerics_extremal_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0830796Z   test_reference_numerics_extremal_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0830961Z   test_reference_numerics_extremal_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0831155Z   test_reference_numerics_extremal_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0831317Z   test_reference_numerics_extremal_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0831477Z   test_reference_numerics_extremal_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0831640Z   test_reference_numerics_extremal_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0831800Z   test_reference_numerics_extremal_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0831955Z   test_reference_numerics_extremal_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.0832105Z   test_reference_numerics_large_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0832267Z   test_reference_numerics_large_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0832427Z   test_reference_numerics_large_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0832604Z   test_reference_numerics_large_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0832760Z   test_reference_numerics_large_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0832917Z   test_reference_numerics_large_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0833067Z   test_reference_numerics_large_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0833298Z   test_reference_numerics_large_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0833463Z   test_reference_numerics_large_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0833601Z   test_reference_numerics_large_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0833814Z   test_reference_numerics_large_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0834025Z   test_reference_numerics_large_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0834187Z   test_reference_numerics_large_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0834396Z   test_reference_numerics_large_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0834576Z   test_reference_numerics_large_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0834758Z   test_reference_numerics_large_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0834917Z   test_reference_numerics_large_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0835079Z   test_reference_numerics_large_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0835222Z   test_reference_numerics_large_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0835379Z   test_reference_numerics_large_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0835531Z   test_reference_numerics_large_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0835741Z   test_reference_numerics_large_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0835951Z   test_reference_numerics_large_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0836154Z   test_reference_numerics_large_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0836387Z   test_reference_numerics_large_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0836569Z   test_reference_numerics_large_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0836746Z   test_reference_numerics_large_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0836909Z   test_reference_numerics_large_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0837055Z   test_reference_numerics_large_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0837211Z   test_reference_numerics_large_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0837368Z   test_reference_numerics_large_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0837520Z   test_reference_numerics_large_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0837726Z   test_reference_numerics_large_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0837938Z   test_reference_numerics_large_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0838098Z   test_reference_numerics_large_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0838308Z   test_reference_numerics_large_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0838476Z   test_reference_numerics_large_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0838629Z   test_reference_numerics_large_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0838787Z   test_reference_numerics_large_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0838948Z   test_reference_numerics_large_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0839108Z   test_reference_numerics_large_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0839264Z   test_reference_numerics_large_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0839419Z   test_reference_numerics_large_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0839570Z   test_reference_numerics_large_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0839779Z   test_reference_numerics_large_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0839990Z   test_reference_numerics_large_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0840139Z   test_reference_numerics_large_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0840348Z   test_reference_numerics_large_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0840524Z   test_reference_numerics_large_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0840700Z   test_reference_numerics_large_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0840858Z   test_reference_numerics_large_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0841016Z   test_reference_numerics_large_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0841203Z   test_reference_numerics_large_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0841357Z   test_reference_numerics_large_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0841543Z   test_reference_numerics_large_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0841739Z   test_reference_numerics_large_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0841947Z   test_reference_numerics_large_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0842109Z   test_reference_numerics_large_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0842315Z   test_reference_numerics_large_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0842496Z   test_reference_numerics_large_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0842674Z   test_reference_numerics_large_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0842836Z   test_reference_numerics_large_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0842995Z   test_reference_numerics_large_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0843149Z   test_reference_numerics_large_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0843304Z   test_reference_numerics_large_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0843547Z   test_reference_numerics_large_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0843753Z   test_reference_numerics_large_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0843966Z   test_reference_numerics_large_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0844128Z   test_reference_numerics_large_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0844340Z   test_reference_numerics_large_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0844522Z   test_reference_numerics_large_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0844700Z   test_reference_numerics_large_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0844860Z   test_reference_numerics_large_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0845018Z   test_reference_numerics_large_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0845163Z   test_reference_numerics_large_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0845320Z   test_reference_numerics_large_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0845476Z   test_reference_numerics_large_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0845687Z   test_reference_numerics_large_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0845895Z   test_reference_numerics_large_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0846059Z   test_reference_numerics_large_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0846267Z   test_reference_numerics_large_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0846494Z   test_reference_numerics_large_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0846705Z   test_reference_numerics_large_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0846855Z   test_reference_numerics_large_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0847017Z   test_reference_numerics_large_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0847174Z   test_reference_numerics_large_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0847331Z   test_reference_numerics_large_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0847484Z   test_reference_numerics_large_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0847689Z   test_reference_numerics_large_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0847901Z   test_reference_numerics_large_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0848117Z   test_reference_numerics_large_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0848284Z   test_reference_numerics_large_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0848445Z   test_reference_numerics_large_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0848589Z   test_reference_numerics_large_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0848805Z   test_reference_numerics_large_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0849022Z   test_reference_numerics_large_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0849185Z   test_reference_numerics_large_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0849346Z   test_reference_numerics_large_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0849503Z   test_reference_numerics_large_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0849660Z   test_reference_numerics_large_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0849814Z   test_reference_numerics_large_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0849964Z   test_reference_numerics_large_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0850159Z   test_reference_numerics_large_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0850371Z   test_reference_numerics_large_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0850533Z   test_reference_numerics_large_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0850741Z   test_reference_numerics_large_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0850906Z   test_reference_numerics_large_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0851069Z   test_reference_numerics_large_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0851229Z   test_reference_numerics_large_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0851384Z   test_reference_numerics_large_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0851574Z   test_reference_numerics_large_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0851719Z   test_reference_numerics_large_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0851900Z   test_reference_numerics_large_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0852055Z   test_reference_numerics_large_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0852206Z   test_reference_numerics_large_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0852413Z   test_reference_numerics_large_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0852619Z   test_reference_numerics_large_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0852793Z   test_reference_numerics_large_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0853010Z   test_reference_numerics_large_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0853188Z   test_reference_numerics_large_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0853351Z   test_reference_numerics_large_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0853523Z   test_reference_numerics_large_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0853695Z   test_reference_numerics_large_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0853866Z   test_reference_numerics_large_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0854034Z   test_reference_numerics_large_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0854204Z   test_reference_numerics_large_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0854368Z   test_reference_numerics_large_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0854527Z   test_reference_numerics_large_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0854743Z   test_reference_numerics_large_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0854961Z   test_reference_numerics_large_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0855106Z   test_reference_numerics_large_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0855313Z   test_reference_numerics_large_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0855476Z   test_reference_numerics_large_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0855637Z   test_reference_numerics_large_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0855794Z   test_reference_numerics_large_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0855949Z   test_reference_numerics_large_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0856104Z   test_reference_numerics_large_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0856258Z   test_reference_numerics_large_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0856407Z   test_reference_numerics_large_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0856600Z   test_reference_numerics_large_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0856839Z   test_reference_numerics_large_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0857023Z   test_reference_numerics_large_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0857232Z   test_reference_numerics_large_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0857410Z   test_reference_numerics_large_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0857571Z   test_reference_numerics_large_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0857729Z   test_reference_numerics_large_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0857886Z   test_reference_numerics_large_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0858043Z   test_reference_numerics_large_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0858185Z   test_reference_numerics_large_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0858339Z   test_reference_numerics_large_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0858511Z   test_reference_numerics_large_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0858721Z   test_reference_numerics_large_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0858902Z   test_reference_numerics_large_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0859115Z   test_reference_numerics_large_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0859281Z   test_reference_numerics_large_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0859442Z   test_reference_numerics_large_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0859606Z   test_reference_numerics_large_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0859753Z   test_reference_numerics_large_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0859913Z   test_reference_numerics_large_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0860071Z   test_reference_numerics_large_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0860285Z   test_reference_numerics_large_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0860495Z   test_reference_numerics_large_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0860665Z   test_reference_numerics_large_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0860874Z   test_reference_numerics_large_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0861037Z   test_reference_numerics_large_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0861199Z   test_reference_numerics_large_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0861358Z   test_reference_numerics_large_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0861504Z   test_reference_numerics_large_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0861666Z   test_reference_numerics_large_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0861908Z   test_reference_numerics_large_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0862145Z   test_reference_numerics_large_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0862307Z   test_reference_numerics_large_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0862513Z   test_reference_numerics_large_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0862670Z   test_reference_numerics_large_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0862825Z   test_reference_numerics_large_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0862979Z   test_reference_numerics_large_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0863121Z   test_reference_numerics_large_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0863270Z   test_reference_numerics_large_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0863474Z   test_reference_numerics_large_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0863684Z   test_reference_numerics_large_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0863845Z   test_reference_numerics_large_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0864052Z   test_reference_numerics_large_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0864211Z   test_reference_numerics_large_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0864368Z   test_reference_numerics_large_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0864526Z   test_reference_numerics_large_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0864671Z   test_reference_numerics_large_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0864823Z   test_reference_numerics_large_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0865028Z   test_reference_numerics_large_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0865235Z   test_reference_numerics_large_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0865398Z   test_reference_numerics_large_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0865606Z   test_reference_numerics_large_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0865769Z   test_reference_numerics_large_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0865931Z   test_reference_numerics_large_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0866087Z   test_reference_numerics_large_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0866231Z   test_reference_numerics_large_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0866388Z   test_reference_numerics_large_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0866596Z   test_reference_numerics_large_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0866806Z   test_reference_numerics_large_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0867002Z   test_reference_numerics_large_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0867246Z   test_reference_numerics_large_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0867403Z   test_reference_numerics_large_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0867558Z   test_reference_numerics_large_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0867713Z   test_reference_numerics_large_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0867867Z   test_reference_numerics_large_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0868009Z   test_reference_numerics_large_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0868159Z   test_reference_numerics_large_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0868368Z   test_reference_numerics_large_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0868577Z   test_reference_numerics_large_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0868752Z   test_reference_numerics_large_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0868957Z   test_reference_numerics_large_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0869136Z   test_reference_numerics_large_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0869317Z   test_reference_numerics_large_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0869475Z   test_reference_numerics_large_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0869623Z   test_reference_numerics_large_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0869781Z   test_reference_numerics_large_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0869935Z   test_reference_numerics_large_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0870085Z   test_reference_numerics_large_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0870294Z   test_reference_numerics_large_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0870503Z   test_reference_numerics_large_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0870682Z   test_reference_numerics_large_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0870892Z   test_reference_numerics_large_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0871052Z   test_reference_numerics_large_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0871199Z   test_reference_numerics_large_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0871354Z   test_reference_numerics_large_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0871507Z   test_reference_numerics_large_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0871659Z   test_reference_numerics_large_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0871863Z   test_reference_numerics_large_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0872103Z   test_reference_numerics_large_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0872291Z   test_reference_numerics_large_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0872501Z   test_reference_numerics_large_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0872669Z   test_reference_numerics_large_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0872830Z   test_reference_numerics_large_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0872980Z   test_reference_numerics_large_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0873138Z   test_reference_numerics_large_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0873375Z   test_reference_numerics_large_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0873538Z   test_reference_numerics_large_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0873697Z   test_reference_numerics_large_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0873854Z   test_reference_numerics_large_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0874007Z   test_reference_numerics_large_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0874215Z   test_reference_numerics_large_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0874421Z   test_reference_numerics_large_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0874569Z   test_reference_numerics_large_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0874731Z   test_reference_numerics_large_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0874891Z   test_reference_numerics_large_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0875050Z   test_reference_numerics_large_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0875208Z   test_reference_numerics_large_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0875361Z   test_reference_numerics_large_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0875569Z   test_reference_numerics_large_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0875780Z   test_reference_numerics_large_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0875942Z   test_reference_numerics_large_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0876088Z   test_reference_numerics_large_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0876249Z   test_reference_numerics_large_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0876407Z   test_reference_numerics_large_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0876569Z   test_reference_numerics_large_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0876729Z   test_reference_numerics_large_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0876887Z   test_reference_numerics_large_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0877043Z   test_reference_numerics_large_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0877197Z   test_reference_numerics_large_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0877436Z   test_reference_numerics_large_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0877604Z   test_reference_numerics_large_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0877759Z   test_reference_numerics_large_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0877911Z   test_reference_numerics_large_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0878062Z   test_reference_numerics_large_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0878209Z   test_reference_numerics_large_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0878378Z   test_reference_numerics_large_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0878583Z   test_reference_numerics_large_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0878752Z   test_reference_numerics_large_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0878904Z   test_reference_numerics_large_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0879066Z   test_reference_numerics_large_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0879230Z   test_reference_numerics_large_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0879442Z   test_reference_numerics_large_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0879609Z   test_reference_numerics_large_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0879776Z   test_reference_numerics_large_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0879938Z   test_reference_numerics_large_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0880102Z   test_reference_numerics_large_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0880259Z   test_reference_numerics_large_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0880401Z   test_reference_numerics_large_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0880561Z   test_reference_numerics_large_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0880720Z   test_reference_numerics_large_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0880877Z   test_reference_numerics_large_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0881088Z   test_reference_numerics_large_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0881300Z   test_reference_numerics_large_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0881463Z   test_reference_numerics_large_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0881671Z   test_reference_numerics_large_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0881836Z   test_reference_numerics_large_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0881997Z   test_reference_numerics_large_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0882148Z   test_reference_numerics_large_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0882307Z   test_reference_numerics_large_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0882495Z   test_reference_numerics_large_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0882727Z   test_reference_numerics_large_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0882966Z   test_reference_numerics_large_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0883123Z   test_reference_numerics_large_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0883274Z   test_reference_numerics_large_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0883585Z   test_reference_numerics_large_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0883797Z   test_reference_numerics_large_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0883949Z   test_reference_numerics_large_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0884163Z   test_reference_numerics_large_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0884329Z   test_reference_numerics_large_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0884493Z   test_reference_numerics_large_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0884653Z   test_reference_numerics_large_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0884814Z   test_reference_numerics_large_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0884972Z   test_reference_numerics_large_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0885129Z   test_reference_numerics_large_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0885287Z   test_reference_numerics_large_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0885425Z   test_reference_numerics_large_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0885635Z   test_reference_numerics_large_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0885846Z   test_reference_numerics_large_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0886013Z   test_reference_numerics_large_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0886246Z   test_reference_numerics_large_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0886412Z   test_reference_numerics_large_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0886572Z   test_reference_numerics_large_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0886727Z   test_reference_numerics_large_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0886891Z   test_reference_numerics_large_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0887040Z   test_reference_numerics_large_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0887201Z   test_reference_numerics_large_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0887415Z   test_reference_numerics_large_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0887625Z   test_reference_numerics_large_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0887855Z   test_reference_numerics_large_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0888098Z   test_reference_numerics_large_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0888266Z   test_reference_numerics_large_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0888426Z   test_reference_numerics_large_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0888586Z   test_reference_numerics_large_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0888747Z   test_reference_numerics_large_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0888894Z   test_reference_numerics_large_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0889056Z   test_reference_numerics_large_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0889273Z   test_reference_numerics_large_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0889488Z   test_reference_numerics_large_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0889652Z   test_reference_numerics_large_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0889863Z   test_reference_numerics_large_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0890030Z   test_reference_numerics_large_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0890193Z   test_reference_numerics_large_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0890352Z   test_reference_numerics_large_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0890500Z   test_reference_numerics_large_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0890661Z   test_reference_numerics_large_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0890818Z   test_reference_numerics_large_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0890976Z   test_reference_numerics_large_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0891134Z   test_reference_numerics_large_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0891289Z   test_reference_numerics_large_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0891499Z   test_reference_numerics_large_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0891707Z   test_reference_numerics_large_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0891904Z   test_reference_numerics_large_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0892082Z   test_reference_numerics_large_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0892278Z   test_reference_numerics_large_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0892473Z   test_reference_numerics_large_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0892664Z   test_reference_numerics_large_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0892855Z   test_reference_numerics_large_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0893104Z   test_reference_numerics_large_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0893317Z   test_reference_numerics_large_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0893511Z   test_reference_numerics_large_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0893697Z   test_reference_numerics_large_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0893883Z   test_reference_numerics_large_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0894052Z   test_reference_numerics_large_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.0894232Z   test_reference_numerics_large_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0894444Z   test_reference_numerics_large_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0894610Z   test_reference_numerics_large_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0894774Z   test_reference_numerics_large_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0894936Z   test_reference_numerics_large_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0895100Z   test_reference_numerics_large_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0895258Z   test_reference_numerics_large_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0895470Z   test_reference_numerics_large_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0895682Z   test_reference_numerics_large_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0895831Z   test_reference_numerics_large_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0896042Z   test_reference_numerics_large_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0896206Z   test_reference_numerics_large_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0896369Z   test_reference_numerics_large_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0896530Z   test_reference_numerics_large_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0896687Z   test_reference_numerics_large_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0896843Z   test_reference_numerics_large_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0896999Z   test_reference_numerics_large_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0897152Z   test_reference_numerics_large_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0897349Z   test_reference_numerics_large_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0897554Z   test_reference_numerics_large_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0897715Z   test_reference_numerics_large_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0897925Z   test_reference_numerics_large_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0898123Z   test_reference_numerics_large_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0898285Z   test_reference_numerics_large_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0898480Z   test_reference_numerics_large_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0898640Z   test_reference_numerics_large_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0898794Z   test_reference_numerics_large_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0898936Z   test_reference_numerics_large_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0899086Z   test_reference_numerics_large_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0899292Z   test_reference_numerics_large_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0899500Z   test_reference_numerics_large_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0899659Z   test_reference_numerics_large_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0899868Z   test_reference_numerics_large_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0900029Z   test_reference_numerics_large_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0900191Z   test_reference_numerics_large_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0900349Z   test_reference_numerics_large_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0900493Z   test_reference_numerics_large_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0900653Z   test_reference_numerics_large_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0900809Z   test_reference_numerics_large_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0900961Z   test_reference_numerics_large_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0901168Z   test_reference_numerics_large_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0901374Z   test_reference_numerics_large_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0901531Z   test_reference_numerics_large_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0901739Z   test_reference_numerics_large_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0901900Z   test_reference_numerics_large_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0902050Z   test_reference_numerics_large_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0902207Z   test_reference_numerics_large_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0902362Z   test_reference_numerics_large_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0902517Z   test_reference_numerics_large_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0902668Z   test_reference_numerics_large_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0902820Z   test_reference_numerics_large_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0903025Z   test_reference_numerics_large_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0903230Z   test_reference_numerics_large_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0903433Z   test_reference_numerics_large_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0903683Z   test_reference_numerics_large_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0903846Z   test_reference_numerics_large_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0904019Z   test_reference_numerics_large_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0904184Z   test_reference_numerics_large_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0904345Z   test_reference_numerics_large_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0904502Z   test_reference_numerics_large_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0904665Z   test_reference_numerics_large_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0904824Z   test_reference_numerics_large_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0904979Z   test_reference_numerics_large_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0905193Z   test_reference_numerics_large_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0905395Z   test_reference_numerics_large_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0905558Z   test_reference_numerics_large_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0905763Z   test_reference_numerics_large_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0905924Z   test_reference_numerics_large_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0906086Z   test_reference_numerics_large_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0906242Z   test_reference_numerics_large_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0906397Z   test_reference_numerics_large_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0906553Z   test_reference_numerics_large_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0906761Z   test_reference_numerics_large_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0906956Z   test_reference_numerics_large_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0907137Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0907318Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0907501Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0907676Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0907848Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0908017Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0908205Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0908458Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0908662Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0908826Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0909000Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0909170Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0909341Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0909507Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0909696Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0909920Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0910097Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0910270Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0910445Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0910602Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0910772Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0910940Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0911126Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0911345Z   test_reference_numerics_large_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0911514Z   test_reference_numerics_large_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0911726Z   test_reference_numerics_large_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0911893Z   test_reference_numerics_large_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0912055Z   test_reference_numerics_large_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0912201Z   test_reference_numerics_large_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0912366Z   test_reference_numerics_large_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0912523Z   test_reference_numerics_large_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0912677Z   test_reference_numerics_large_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0912892Z   test_reference_numerics_large_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0913106Z   test_reference_numerics_large_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0913345Z   test_reference_numerics_large_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0913544Z   test_reference_numerics_large_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0913734Z   test_reference_numerics_large_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0913884Z   test_reference_numerics_large_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0914043Z   test_reference_numerics_large_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0914202Z   test_reference_numerics_large_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0914355Z   test_reference_numerics_large_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0914511Z   test_reference_numerics_large_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0914666Z   test_reference_numerics_large_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0914819Z   test_reference_numerics_large_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0915032Z   test_reference_numerics_large_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0915242Z   test_reference_numerics_large_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0915406Z   test_reference_numerics_large_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0915585Z   test_reference_numerics_large_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0915761Z   test_reference_numerics_large_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0915933Z   test_reference_numerics_large_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0916109Z   test_reference_numerics_large_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0916288Z   test_reference_numerics_large_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0916477Z   test_reference_numerics_large_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0916661Z   test_reference_numerics_large_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0916837Z   test_reference_numerics_large_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0917012Z   test_reference_numerics_large_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0917180Z   test_reference_numerics_large_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0917360Z   test_reference_numerics_large_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0917534Z   test_reference_numerics_large_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0917706Z   test_reference_numerics_large_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0917878Z   test_reference_numerics_large_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0918054Z   test_reference_numerics_large_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0918231Z   test_reference_numerics_large_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0918405Z   test_reference_numerics_large_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0918578Z   test_reference_numerics_large_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0918767Z   test_reference_numerics_large_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0918966Z   test_reference_numerics_large_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0919139Z   test_reference_numerics_large_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0919309Z   test_reference_numerics_large_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0919476Z   test_reference_numerics_large_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0919696Z   test_reference_numerics_large_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0919919Z   test_reference_numerics_large_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0920096Z   test_reference_numerics_large_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0920272Z   test_reference_numerics_large_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0920430Z   test_reference_numerics_large_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0920630Z   test_reference_numerics_large_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0920830Z   test_reference_numerics_large_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0921002Z   test_reference_numerics_large_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0921175Z   test_reference_numerics_large_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0921345Z   test_reference_numerics_large_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0921527Z   test_reference_numerics_large_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0921709Z   test_reference_numerics_large_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0921887Z   test_reference_numerics_large_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0922067Z   test_reference_numerics_large_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0922238Z   test_reference_numerics_large_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0922435Z   test_reference_numerics_large_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.004s)
2023-01-11T21:23:12.0922615Z   test_reference_numerics_large_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0922793Z   test_reference_numerics_large_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0922971Z   test_reference_numerics_large_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0923146Z   test_reference_numerics_large_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0923325Z   test_reference_numerics_large_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0923605Z   test_reference_numerics_large_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0923833Z   test_reference_numerics_large_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0924137Z   test_reference_numerics_large_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0924309Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0924495Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0924681Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0924861Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0925038Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0925218Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0925400Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0925581Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0925809Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0926037Z   test_reference_numerics_large_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0926205Z   test_reference_numerics_large_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0926384Z   test_reference_numerics_large_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0926568Z   test_reference_numerics_large_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0926749Z   test_reference_numerics_large_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0926929Z   test_reference_numerics_large_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0927108Z   test_reference_numerics_large_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0927334Z   test_reference_numerics_large_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0927559Z   test_reference_numerics_large_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0927742Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0927968Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0928134Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0928317Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0928493Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0928670Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0928844Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0929103Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0929354Z   test_reference_numerics_large_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0929549Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0929741Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0929935Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0930113Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0930303Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0930492Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0930677Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0930862Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0931045Z   test_reference_numerics_large_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0931226Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0931450Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0931629Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0931809Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0931973Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0932151Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0932324Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0932547Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0932771Z   test_reference_numerics_large_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0932956Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0933176Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0933352Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0933528Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0933704Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0933866Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0934075Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0934327Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0934553Z   test_reference_numerics_large_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0934733Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0934954Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0935131Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0935313Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0935489Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0935663Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0935825Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0936050Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0936273Z   test_reference_numerics_large_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0936438Z   test_reference_numerics_large_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0936609Z   test_reference_numerics_large_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0936779Z   test_reference_numerics_large_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0936947Z   test_reference_numerics_large_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0937110Z   test_reference_numerics_large_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0937267Z   test_reference_numerics_large_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0937411Z   test_reference_numerics_large_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0937571Z   test_reference_numerics_large_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0937733Z   test_reference_numerics_large_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0937895Z   test_reference_numerics_large_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0938112Z   test_reference_numerics_large_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0938325Z   test_reference_numerics_large_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0938505Z   test_reference_numerics_large_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0938720Z   test_reference_numerics_large_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0938882Z   test_reference_numerics_large_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0939079Z   test_reference_numerics_large_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0939227Z   test_reference_numerics_large_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0939423Z   test_reference_numerics_large_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0939584Z   test_reference_numerics_large_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0939743Z   test_reference_numerics_large_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0939953Z   test_reference_numerics_large_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0940164Z   test_reference_numerics_large_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0940324Z   test_reference_numerics_large_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0940533Z   test_reference_numerics_large_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0940696Z   test_reference_numerics_large_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0940846Z   test_reference_numerics_large_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0941007Z   test_reference_numerics_large_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0941166Z   test_reference_numerics_large_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0941321Z   test_reference_numerics_large_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0941475Z   test_reference_numerics_large_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0941631Z   test_reference_numerics_large_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0941784Z   test_reference_numerics_large_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0941936Z   test_reference_numerics_large_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0942144Z   test_reference_numerics_large_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0942342Z   test_reference_numerics_large_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0942525Z   test_reference_numerics_large_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0942742Z   test_reference_numerics_large_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0942918Z   test_reference_numerics_large_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0943094Z   test_reference_numerics_large_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0943263Z   test_reference_numerics_large_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0943427Z   test_reference_numerics_large_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0943585Z   test_reference_numerics_large_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0943747Z   test_reference_numerics_large_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0943894Z   test_reference_numerics_large_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0944051Z   test_reference_numerics_large_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0944294Z   test_reference_numerics_large_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0944538Z   test_reference_numerics_large_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0944701Z   test_reference_numerics_large_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0944862Z   test_reference_numerics_large_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0945021Z   test_reference_numerics_large_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0945178Z   test_reference_numerics_large_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0945334Z   test_reference_numerics_large_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0945473Z   test_reference_numerics_large_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0945682Z   test_reference_numerics_large_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0945894Z   test_reference_numerics_large_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0946068Z   test_reference_numerics_large_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0946239Z   test_reference_numerics_large_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0946409Z   test_reference_numerics_large_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0946582Z   test_reference_numerics_large_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0946748Z   test_reference_numerics_large_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0946916Z   test_reference_numerics_large_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0947095Z   test_reference_numerics_large_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0947259Z   test_reference_numerics_large_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0947435Z   test_reference_numerics_large_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0947594Z   test_reference_numerics_large_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0947802Z   test_reference_numerics_large_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0947966Z   test_reference_numerics_large_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0948129Z   test_reference_numerics_large_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0948289Z   test_reference_numerics_large_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0948448Z   test_reference_numerics_large_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0948604Z   test_reference_numerics_large_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0948747Z   test_reference_numerics_large_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0948898Z   test_reference_numerics_large_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0949106Z   test_reference_numerics_large_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0949316Z   test_reference_numerics_large_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0949504Z   test_reference_numerics_large_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0949735Z   test_reference_numerics_large_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0949900Z   test_reference_numerics_large_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.0950059Z   test_reference_numerics_large_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0950234Z   test_reference_numerics_large_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0950378Z   test_reference_numerics_large_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0950533Z   test_reference_numerics_large_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0950687Z   test_reference_numerics_large_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0950843Z   test_reference_numerics_large_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0950996Z   test_reference_numerics_large_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0951147Z   test_reference_numerics_large_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0951353Z   test_reference_numerics_large_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0951559Z   test_reference_numerics_large_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0951726Z   test_reference_numerics_large_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0951926Z   test_reference_numerics_large_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0952109Z   test_reference_numerics_large_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0952291Z   test_reference_numerics_large_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0952454Z   test_reference_numerics_large_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0952618Z   test_reference_numerics_large_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0952778Z   test_reference_numerics_large_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0952938Z   test_reference_numerics_large_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0953098Z   test_reference_numerics_large_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0953383Z   test_reference_numerics_large_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0953598Z   test_reference_numerics_large_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0953744Z   test_reference_numerics_large_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0953952Z   test_reference_numerics_large_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0954108Z   test_reference_numerics_large_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0954265Z   test_reference_numerics_large_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0954421Z   test_reference_numerics_large_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0954613Z   test_reference_numerics_large_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0954806Z   test_reference_numerics_large_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0954958Z   test_reference_numerics_large_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0955167Z   test_reference_numerics_large_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0955359Z   test_reference_numerics_large_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0955523Z   test_reference_numerics_large_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0955733Z   test_reference_numerics_large_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0955897Z   test_reference_numerics_large_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0956061Z   test_reference_numerics_large_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0956224Z   test_reference_numerics_large_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0956382Z   test_reference_numerics_large_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0956541Z   test_reference_numerics_large_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0956700Z   test_reference_numerics_large_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0956900Z   test_reference_numerics_large_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0957111Z   test_reference_numerics_large_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0957270Z   test_reference_numerics_large_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0957476Z   test_reference_numerics_large_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0957637Z   test_reference_numerics_large_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0957794Z   test_reference_numerics_large_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0957950Z   test_reference_numerics_large_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0958104Z   test_reference_numerics_large_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0958259Z   test_reference_numerics_large_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0958401Z   test_reference_numerics_large_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0958556Z   test_reference_numerics_large_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0958762Z   test_reference_numerics_large_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0958972Z   test_reference_numerics_large_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0959132Z   test_reference_numerics_large_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0959337Z   test_reference_numerics_large_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0959500Z   test_reference_numerics_large_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0959697Z   test_reference_numerics_large_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0959855Z   test_reference_numerics_large_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0960038Z   test_reference_numerics_large_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0960184Z   test_reference_numerics_large_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0960340Z   test_reference_numerics_large_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0960490Z   test_reference_numerics_large_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0960697Z   test_reference_numerics_large_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0960904Z   test_reference_numerics_large_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0961066Z   test_reference_numerics_large_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0961273Z   test_reference_numerics_large_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0961452Z   test_reference_numerics_large_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0961614Z   test_reference_numerics_large_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0961758Z   test_reference_numerics_large_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0961914Z   test_reference_numerics_large_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0962069Z   test_reference_numerics_large_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0962225Z   test_reference_numerics_large_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0962377Z   test_reference_numerics_large_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0962551Z   test_reference_numerics_large_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.0962762Z   test_reference_numerics_large_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0962947Z   test_reference_numerics_large_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0963132Z   test_reference_numerics_large_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0963298Z   test_reference_numerics_large_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0963577Z   test_reference_numerics_large_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0963756Z   test_reference_numerics_large_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0963932Z   test_reference_numerics_large_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0964111Z   test_reference_numerics_large_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0964286Z   test_reference_numerics_large_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0964506Z   test_reference_numerics_large_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0964680Z   test_reference_numerics_large_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0964908Z   test_reference_numerics_large_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0965066Z   test_reference_numerics_large_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0965270Z   test_reference_numerics_large_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0965442Z   test_reference_numerics_large_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0965664Z   test_reference_numerics_large_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0965886Z   test_reference_numerics_large_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0966105Z   test_reference_numerics_large_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0966278Z   test_reference_numerics_large_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0966452Z   test_reference_numerics_large_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0966624Z   test_reference_numerics_large_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0966791Z   test_reference_numerics_large_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0966948Z   test_reference_numerics_large_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0967167Z   test_reference_numerics_large_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0967383Z   test_reference_numerics_large_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0967601Z   test_reference_numerics_large_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0967776Z   test_reference_numerics_large_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0967947Z   test_reference_numerics_large_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0968112Z   test_reference_numerics_large_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0968279Z   test_reference_numerics_large_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0968445Z   test_reference_numerics_large_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0968660Z   test_reference_numerics_large_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0968873Z   test_reference_numerics_large_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0969093Z   test_reference_numerics_large_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0969264Z   test_reference_numerics_large_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0969434Z   test_reference_numerics_large_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0969599Z   test_reference_numerics_large_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0969766Z   test_reference_numerics_large_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0969963Z   test_reference_numerics_large_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0970243Z   test_reference_numerics_large_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0970464Z   test_reference_numerics_large_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0970651Z   test_reference_numerics_large_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0970853Z   test_reference_numerics_large_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0971025Z   test_reference_numerics_large_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0971195Z   test_reference_numerics_large_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0971362Z   test_reference_numerics_large_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0971526Z   test_reference_numerics_large_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0971685Z   test_reference_numerics_large_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0971900Z   test_reference_numerics_large_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0972115Z   test_reference_numerics_large_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0972332Z   test_reference_numerics_large_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0972507Z   test_reference_numerics_large_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0972664Z   test_reference_numerics_large_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0972834Z   test_reference_numerics_large_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0972995Z   test_reference_numerics_large_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0973153Z   test_reference_numerics_large_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0973366Z   test_reference_numerics_large_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0973584Z   test_reference_numerics_large_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0973753Z   test_reference_numerics_large_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0973971Z   test_reference_numerics_large_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0974137Z   test_reference_numerics_large_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0974297Z   test_reference_numerics_large_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0974447Z   test_reference_numerics_large_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0974605Z   test_reference_numerics_large_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0974760Z   test_reference_numerics_large_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0974971Z   test_reference_numerics_large_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0975258Z   test_reference_numerics_large_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0975472Z   test_reference_numerics_large_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0975638Z   test_reference_numerics_large_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0975800Z   test_reference_numerics_large_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0975962Z   test_reference_numerics_large_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0976106Z   test_reference_numerics_large_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0976263Z   test_reference_numerics_large_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0976449Z   test_reference_numerics_large_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Incorrect result! (0.000s)
2023-01-11T21:23:12.0976664Z   test_reference_numerics_large_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0976878Z   test_reference_numerics_large_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0977044Z   test_reference_numerics_large_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0977205Z   test_reference_numerics_large_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0977368Z   test_reference_numerics_large_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0977531Z   test_reference_numerics_large_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0977690Z   test_reference_numerics_large_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0977895Z   test_reference_numerics_large_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0978109Z   test_reference_numerics_large_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0978326Z   test_reference_numerics_large_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0978500Z   test_reference_numerics_large_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0978670Z   test_reference_numerics_large_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0978843Z   test_reference_numerics_large_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0979016Z   test_reference_numerics_large_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0979186Z   test_reference_numerics_large_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0979406Z   test_reference_numerics_large_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0979624Z   test_reference_numerics_large_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0979844Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0980055Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0980234Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0980438Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0980616Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0980787Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0981010Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0981239Z   test_reference_numerics_large_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0981471Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0981656Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0981821Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0981998Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0982170Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0982340Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0982569Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0982800Z   test_reference_numerics_large_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0983029Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0983212Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0983389Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0983565Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0983729Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0983900Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0984126Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0984354Z   test_reference_numerics_large_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0984582Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0984763Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0984969Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0985147Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0985343Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0985517Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0985742Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0985957Z   test_reference_numerics_large_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0986127Z   test_reference_numerics_large_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0986341Z   test_reference_numerics_large_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0986511Z   test_reference_numerics_large_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0986679Z   test_reference_numerics_large_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0986842Z   test_reference_numerics_large_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0987002Z   test_reference_numerics_large_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0987159Z   test_reference_numerics_large_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0987375Z   test_reference_numerics_large_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0987581Z   test_reference_numerics_large_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0987799Z   test_reference_numerics_large_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0987971Z   test_reference_numerics_large_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0988139Z   test_reference_numerics_large_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0988307Z   test_reference_numerics_large_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0988468Z   test_reference_numerics_large_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0988626Z   test_reference_numerics_large_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0988839Z   test_reference_numerics_large_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0989059Z   test_reference_numerics_large_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0989261Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0989493Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0989691Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0989888Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0990116Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0990338Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0990533Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0990777Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0991020Z   test_reference_numerics_large_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0991256Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0991449Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0991639Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0991813Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0991999Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0992184Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0992419Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0992660Z   test_reference_numerics_large_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0992895Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0993083Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0993342Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0993529Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0993717Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0993902Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0994127Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0994364Z   test_reference_numerics_large_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0994593Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0994777Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0994956Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0995173Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0995376Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0995551Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0995781Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0996015Z   test_reference_numerics_large_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0996192Z   test_reference_numerics_large_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0996390Z   test_reference_numerics_large_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0996556Z   test_reference_numerics_large_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0996719Z   test_reference_numerics_large_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.0996877Z   test_reference_numerics_large_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0997035Z   test_reference_numerics_large_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0997189Z   test_reference_numerics_large_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0997342Z   test_reference_numerics_large_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0997490Z   test_reference_numerics_large_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0997696Z   test_reference_numerics_large_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0997894Z   test_reference_numerics_large_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0998072Z   test_reference_numerics_large_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0998280Z   test_reference_numerics_large_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.0998461Z   test_reference_numerics_large_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0998638Z   test_reference_numerics_large_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.0998802Z   test_reference_numerics_large_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0998964Z   test_reference_numerics_large_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0999126Z   test_reference_numerics_large_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0999284Z   test_reference_numerics_large_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0999429Z   test_reference_numerics_large_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0999585Z   test_reference_numerics_large_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.0999794Z   test_reference_numerics_large_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1000004Z   test_reference_numerics_large_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1000207Z   test_reference_numerics_large_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1000440Z   test_reference_numerics_large_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1000604Z   test_reference_numerics_large_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.1000764Z   test_reference_numerics_large_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.1000920Z   test_reference_numerics_large_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1001063Z   test_reference_numerics_large_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.1001216Z   test_reference_numerics_large_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1001370Z   test_reference_numerics_large_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1001521Z   test_reference_numerics_large_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1001731Z   test_reference_numerics_large_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1001938Z   test_reference_numerics_large_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1002096Z   test_reference_numerics_large_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1002303Z   test_reference_numerics_large_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1002466Z   test_reference_numerics_large_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.1002628Z   test_reference_numerics_large_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.004s)
2023-01-11T21:23:12.1002774Z   test_reference_numerics_large_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1002932Z   test_reference_numerics_large_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1003086Z   test_reference_numerics_large_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1003240Z   test_reference_numerics_large_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1003484Z   test_reference_numerics_large_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1003694Z   test_reference_numerics_large_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1003903Z   test_reference_numerics_large_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1004066Z   test_reference_numerics_large_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1004228Z   test_reference_numerics_large_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1004374Z   test_reference_numerics_large_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1004533Z   test_reference_numerics_large_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1004690Z   test_reference_numerics_large_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1004841Z   test_reference_numerics_large_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1005051Z   test_reference_numerics_large_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1005260Z   test_reference_numerics_large_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: bool, uint8, and int8 dtypes have no large values (0.001s)
2023-01-11T21:23:12.1005468Z   test_reference_numerics_normal_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1005664Z   test_reference_numerics_normal_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1005826Z   test_reference_numerics_normal_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.1005976Z   test_reference_numerics_normal_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1006134Z   test_reference_numerics_normal_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1006290Z   test_reference_numerics_normal_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1006447Z   test_reference_numerics_normal_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1006602Z   test_reference_numerics_normal_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1006759Z   test_reference_numerics_normal_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1006912Z   test_reference_numerics_normal_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1007067Z   test_reference_numerics_normal_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1007203Z   test_reference_numerics_normal_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1007364Z   test_reference_numerics_normal_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1007519Z   test_reference_numerics_normal_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:12.1007684Z   test_reference_numerics_normal_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.174s)
2023-01-11T21:23:12.1007844Z   test_reference_numerics_normal_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.151s)
2023-01-11T21:23:12.1008004Z   test_reference_numerics_normal_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1008165Z   test_reference_numerics_normal_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1008322Z   test_reference_numerics_normal_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1008477Z   test_reference_numerics_normal_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1008617Z   test_reference_numerics_normal_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1008770Z   test_reference_numerics_normal_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1008921Z   test_reference_numerics_normal_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1009082Z   test_reference_numerics_normal_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1009241Z   test_reference_numerics_normal_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.107s)
2023-01-11T21:23:12.1009407Z   test_reference_numerics_normal_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.166s)
2023-01-11T21:23:12.1009572Z   test_reference_numerics_normal_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.153s)
2023-01-11T21:23:12.1009732Z   test_reference_numerics_normal_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1009893Z   test_reference_numerics_normal_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1010039Z   test_reference_numerics_normal_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1010196Z   test_reference_numerics_normal_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1010370Z   test_reference_numerics_normal_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1010560Z   test_reference_numerics_normal_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1010712Z   test_reference_numerics_normal_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1010912Z   test_reference_numerics_normal_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1011067Z   test_reference_numerics_normal_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:12.1011236Z   test_reference_numerics_normal_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:12.1011387Z   test_reference_numerics_normal_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1011548Z   test_reference_numerics_normal_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1011706Z   test_reference_numerics_normal_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1011866Z   test_reference_numerics_normal_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1012025Z   test_reference_numerics_normal_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1012182Z   test_reference_numerics_normal_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1012338Z   test_reference_numerics_normal_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1012493Z   test_reference_numerics_normal_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1012645Z   test_reference_numerics_normal_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1012790Z   test_reference_numerics_normal_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1012946Z   test_reference_numerics_normal_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.095s)
2023-01-11T21:23:12.1013109Z   test_reference_numerics_normal_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.189s)
2023-01-11T21:23:12.1013271Z   test_reference_numerics_normal_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.140s)
2023-01-11T21:23:12.1013431Z   test_reference_numerics_normal_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1013588Z   test_reference_numerics_normal_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1013746Z   test_reference_numerics_normal_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1013899Z   test_reference_numerics_normal_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1014051Z   test_reference_numerics_normal_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1014194Z   test_reference_numerics_normal_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1014345Z   test_reference_numerics_normal_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1014508Z   test_reference_numerics_normal_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1014658Z   test_reference_numerics_normal_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.118s)
2023-01-11T21:23:12.1014843Z   test_reference_numerics_normal_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1015024Z   test_reference_numerics_normal_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1015185Z   test_reference_numerics_normal_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1015344Z   test_reference_numerics_normal_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1015487Z   test_reference_numerics_normal_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1015644Z   test_reference_numerics_normal_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1015832Z   test_reference_numerics_normal_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1016016Z   test_reference_numerics_normal_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1016172Z   test_reference_numerics_normal_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1016329Z   test_reference_numerics_normal_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1016485Z   test_reference_numerics_normal_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.100s)
2023-01-11T21:23:12.1016647Z   test_reference_numerics_normal_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.164s)
2023-01-11T21:23:12.1016809Z   test_reference_numerics_normal_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.106s)
2023-01-11T21:23:12.1016956Z   test_reference_numerics_normal_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1017116Z   test_reference_numerics_normal_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1017269Z   test_reference_numerics_normal_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1017423Z   test_reference_numerics_normal_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1017574Z   test_reference_numerics_normal_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1017729Z   test_reference_numerics_normal_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1017880Z   test_reference_numerics_normal_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1018041Z   test_reference_numerics_normal_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1018195Z   test_reference_numerics_normal_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.104s)
2023-01-11T21:23:12.1018349Z   test_reference_numerics_normal_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.155s)
2023-01-11T21:23:12.1018515Z   test_reference_numerics_normal_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.113s)
2023-01-11T21:23:12.1018677Z   test_reference_numerics_normal_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1018834Z   test_reference_numerics_normal_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1018990Z   test_reference_numerics_normal_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1019145Z   test_reference_numerics_normal_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1019301Z   test_reference_numerics_normal_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1019454Z   test_reference_numerics_normal_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1019595Z   test_reference_numerics_normal_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1019761Z   test_reference_numerics_normal_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1019927Z   test_reference_numerics_normal_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1020086Z   test_reference_numerics_normal_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1020242Z   test_reference_numerics_normal_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1020401Z   test_reference_numerics_normal_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1020559Z   test_reference_numerics_normal_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1020717Z   test_reference_numerics_normal_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1020874Z   test_reference_numerics_normal_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1021052Z   test_reference_numerics_normal_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1021235Z   test_reference_numerics_normal_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1021391Z   test_reference_numerics_normal_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1021542Z   test_reference_numerics_normal_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1021696Z   test_reference_numerics_normal_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1021847Z   test_reference_numerics_normal_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1022007Z   test_reference_numerics_normal_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1022161Z   test_reference_numerics_normal_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1022328Z   test_reference_numerics_normal_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1022481Z   test_reference_numerics_normal_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.080s)
2023-01-11T21:23:12.1022641Z   test_reference_numerics_normal_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1022798Z   test_reference_numerics_normal_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1022955Z   test_reference_numerics_normal_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1023112Z   test_reference_numerics_normal_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1023266Z   test_reference_numerics_normal_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1023418Z   test_reference_numerics_normal_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1023568Z   test_reference_numerics_normal_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1023722Z   test_reference_numerics_normal_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1023861Z   test_reference_numerics_normal_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1024032Z   test_reference_numerics_normal_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1024202Z   test_reference_numerics_normal_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1024376Z   test_reference_numerics_normal_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1024551Z   test_reference_numerics_normal_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.080s)
2023-01-11T21:23:12.1024723Z   test_reference_numerics_normal_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1024895Z   test_reference_numerics_normal_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1025067Z   test_reference_numerics_normal_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1025235Z   test_reference_numerics_normal_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1025390Z   test_reference_numerics_normal_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1025558Z   test_reference_numerics_normal_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1025722Z   test_reference_numerics_normal_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1025888Z   test_reference_numerics_normal_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1026054Z   test_reference_numerics_normal_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1026243Z   test_reference_numerics_normal_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1026426Z   test_reference_numerics_normal_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.097s)
2023-01-11T21:23:12.1026591Z   test_reference_numerics_normal_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.139s)
2023-01-11T21:23:12.1026739Z   test_reference_numerics_normal_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.148s)
2023-01-11T21:23:12.1026896Z   test_reference_numerics_normal_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1027051Z   test_reference_numerics_normal_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1027206Z   test_reference_numerics_normal_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.1027360Z   test_reference_numerics_normal_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1027513Z   test_reference_numerics_normal_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1027670Z   test_reference_numerics_normal_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1027822Z   test_reference_numerics_normal_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1027981Z   test_reference_numerics_normal_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1028120Z   test_reference_numerics_normal_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.075s)
2023-01-11T21:23:12.1028302Z   test_reference_numerics_normal_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.134s)
2023-01-11T21:23:12.1028462Z   test_reference_numerics_normal_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.123s)
2023-01-11T21:23:12.1028620Z   test_reference_numerics_normal_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1028781Z   test_reference_numerics_normal_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1028934Z   test_reference_numerics_normal_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1029090Z   test_reference_numerics_normal_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1029241Z   test_reference_numerics_normal_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1029394Z   test_reference_numerics_normal_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1029531Z   test_reference_numerics_normal_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1029696Z   test_reference_numerics_normal_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1029852Z   test_reference_numerics_normal_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.091s)
2023-01-11T21:23:12.1030018Z   test_reference_numerics_normal_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1030176Z   test_reference_numerics_normal_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1030333Z   test_reference_numerics_normal_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1030493Z   test_reference_numerics_normal_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1030652Z   test_reference_numerics_normal_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1030799Z   test_reference_numerics_normal_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1030955Z   test_reference_numerics_normal_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1031111Z   test_reference_numerics_normal_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1031308Z   test_reference_numerics_normal_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.969s)
2023-01-11T21:23:12.1031466Z   test_reference_numerics_normal_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.085s)
2023-01-11T21:23:12.1031655Z   test_reference_numerics_normal_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.254s)
2023-01-11T21:23:12.1031815Z   test_reference_numerics_normal_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.258s)
2023-01-11T21:23:12.1031974Z   test_reference_numerics_normal_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1032131Z   test_reference_numerics_normal_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1032276Z   test_reference_numerics_normal_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1032432Z   test_reference_numerics_normal_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1032587Z   test_reference_numerics_normal_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1032744Z   test_reference_numerics_normal_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1032901Z   test_reference_numerics_normal_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.069s)
2023-01-11T21:23:12.1033058Z   test_reference_numerics_normal_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1033273Z   test_reference_numerics_normal_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1033436Z   test_reference_numerics_normal_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1033589Z   test_reference_numerics_normal_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1033728Z   test_reference_numerics_normal_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1033882Z   test_reference_numerics_normal_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1034033Z   test_reference_numerics_normal_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1034193Z   test_reference_numerics_normal_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1034348Z   test_reference_numerics_normal_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.087s)
2023-01-11T21:23:12.1034504Z   test_reference_numerics_normal_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1034661Z   test_reference_numerics_normal_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1034818Z   test_reference_numerics_normal_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1034960Z   test_reference_numerics_normal_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1035110Z   test_reference_numerics_normal_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1035266Z   test_reference_numerics_normal_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1035416Z   test_reference_numerics_normal_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1035580Z   test_reference_numerics_normal_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1035737Z   test_reference_numerics_normal_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.117s)
2023-01-11T21:23:12.1035898Z   test_reference_numerics_normal_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1036058Z   test_reference_numerics_normal_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1036217Z   test_reference_numerics_normal_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1036361Z   test_reference_numerics_normal_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1036550Z   test_reference_numerics_normal_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1036706Z   test_reference_numerics_normal_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1036894Z   test_reference_numerics_normal_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1037055Z   test_reference_numerics_normal_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1037209Z   test_reference_numerics_normal_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.071s)
2023-01-11T21:23:12.1037363Z   test_reference_numerics_normal_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1037516Z   test_reference_numerics_normal_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1037659Z   test_reference_numerics_normal_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1037816Z   test_reference_numerics_normal_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1037973Z   test_reference_numerics_normal_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1038126Z   test_reference_numerics_normal_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1038280Z   test_reference_numerics_normal_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1038430Z   test_reference_numerics_normal_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1038586Z   test_reference_numerics_normal_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1038738Z   test_reference_numerics_normal_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1038900Z   test_reference_numerics_normal_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.090s)
2023-01-11T21:23:12.1039048Z   test_reference_numerics_normal_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.073s)
2023-01-11T21:23:12.1039207Z   test_reference_numerics_normal_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1039365Z   test_reference_numerics_normal_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1039518Z   test_reference_numerics_normal_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1039672Z   test_reference_numerics_normal_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1039821Z   test_reference_numerics_normal_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1039974Z   test_reference_numerics_normal_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1040124Z   test_reference_numerics_normal_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1040283Z   test_reference_numerics_normal_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1040428Z   test_reference_numerics_normal_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:12.1040589Z   test_reference_numerics_normal_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1040748Z   test_reference_numerics_normal_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1040904Z   test_reference_numerics_normal_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1041060Z   test_reference_numerics_normal_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1041214Z   test_reference_numerics_normal_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1041367Z   test_reference_numerics_normal_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1041520Z   test_reference_numerics_normal_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1041701Z   test_reference_numerics_normal_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1041857Z   test_reference_numerics_normal_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1042044Z   test_reference_numerics_normal_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1042207Z   test_reference_numerics_normal_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.086s)
2023-01-11T21:23:12.1042365Z   test_reference_numerics_normal_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1042523Z   test_reference_numerics_normal_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1042679Z   test_reference_numerics_normal_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1042837Z   test_reference_numerics_normal_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1042991Z   test_reference_numerics_normal_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1043136Z   test_reference_numerics_normal_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1043288Z   test_reference_numerics_normal_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1043548Z   test_reference_numerics_normal_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1043699Z   test_reference_numerics_normal_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1043859Z   test_reference_numerics_normal_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1044017Z   test_reference_numerics_normal_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1044175Z   test_reference_numerics_normal_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.1044333Z   test_reference_numerics_normal_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1044492Z   test_reference_numerics_normal_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1044637Z   test_reference_numerics_normal_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1044790Z   test_reference_numerics_normal_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1044942Z   test_reference_numerics_normal_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1045101Z   test_reference_numerics_normal_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1045258Z   test_reference_numerics_normal_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1045415Z   test_reference_numerics_normal_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1045570Z   test_reference_numerics_normal_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1045734Z   test_reference_numerics_normal_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1045883Z   test_reference_numerics_normal_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1046043Z   test_reference_numerics_normal_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1046200Z   test_reference_numerics_normal_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1046354Z   test_reference_numerics_normal_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.108s)
2023-01-11T21:23:12.1046506Z   test_reference_numerics_normal_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.224s)
2023-01-11T21:23:12.1046659Z   test_reference_numerics_normal_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.106s)
2023-01-11T21:23:12.1046810Z   test_reference_numerics_normal_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.109s)
2023-01-11T21:23:12.1047009Z   test_reference_numerics_normal_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.114s)
2023-01-11T21:23:12.1047160Z   test_reference_numerics_normal_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.115s)
2023-01-11T21:23:12.1047336Z   test_reference_numerics_normal_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.114s)
2023-01-11T21:23:12.1047488Z   test_reference_numerics_normal_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.112s)
2023-01-11T21:23:12.1047638Z   test_reference_numerics_normal_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.111s)
2023-01-11T21:23:12.1047802Z   test_reference_numerics_normal_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1047964Z   test_reference_numerics_normal_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1048127Z   test_reference_numerics_normal_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1048293Z   test_reference_numerics_normal_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1048456Z   test_reference_numerics_normal_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1048627Z   test_reference_numerics_normal_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1048782Z   test_reference_numerics_normal_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1048945Z   test_reference_numerics_normal_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1049107Z   test_reference_numerics_normal_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1049264Z   test_reference_numerics_normal_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1049427Z   test_reference_numerics_normal_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1049586Z   test_reference_numerics_normal_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1049746Z   test_reference_numerics_normal_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1049908Z   test_reference_numerics_normal_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1050070Z   test_reference_numerics_normal_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1050216Z   test_reference_numerics_normal_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1050372Z   test_reference_numerics_normal_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1050530Z   test_reference_numerics_normal_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1050694Z   test_reference_numerics_normal_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1050855Z   test_reference_numerics_normal_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1051016Z   test_reference_numerics_normal_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1051177Z   test_reference_numerics_normal_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1051337Z   test_reference_numerics_normal_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1051484Z   test_reference_numerics_normal_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.1051641Z   test_reference_numerics_normal_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1051797Z   test_reference_numerics_normal_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1051953Z   test_reference_numerics_normal_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1052106Z   test_reference_numerics_normal_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1052325Z   test_reference_numerics_normal_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1052513Z   test_reference_numerics_normal_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1052669Z   test_reference_numerics_normal_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1052834Z   test_reference_numerics_normal_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1052983Z   test_reference_numerics_normal_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1053143Z   test_reference_numerics_normal_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1053300Z   test_reference_numerics_normal_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.1053458Z   test_reference_numerics_normal_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.1053614Z   test_reference_numerics_normal_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1053770Z   test_reference_numerics_normal_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1053924Z   test_reference_numerics_normal_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1054077Z   test_reference_numerics_normal_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1054230Z   test_reference_numerics_normal_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1054386Z   test_reference_numerics_normal_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1054547Z   test_reference_numerics_normal_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1054711Z   test_reference_numerics_normal_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1054875Z   test_reference_numerics_normal_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1055035Z   test_reference_numerics_normal_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1055196Z   test_reference_numerics_normal_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1055356Z   test_reference_numerics_normal_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1055515Z   test_reference_numerics_normal_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1055660Z   test_reference_numerics_normal_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1055820Z   test_reference_numerics_normal_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1055986Z   test_reference_numerics_normal_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1056148Z   test_reference_numerics_normal_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1056313Z   test_reference_numerics_normal_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1056472Z   test_reference_numerics_normal_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1056629Z   test_reference_numerics_normal_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1056787Z   test_reference_numerics_normal_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1056947Z   test_reference_numerics_normal_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1057093Z   test_reference_numerics_normal_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1057253Z   test_reference_numerics_normal_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1057439Z   test_reference_numerics_normal_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1057626Z   test_reference_numerics_normal_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1057786Z   test_reference_numerics_normal_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1057953Z   test_reference_numerics_normal_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1058117Z   test_reference_numerics_normal_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1058276Z   test_reference_numerics_normal_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1058434Z   test_reference_numerics_normal_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1058579Z   test_reference_numerics_normal_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1058738Z   test_reference_numerics_normal_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.1058897Z   test_reference_numerics_normal_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1059055Z   test_reference_numerics_normal_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1059214Z   test_reference_numerics_normal_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1059372Z   test_reference_numerics_normal_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1059527Z   test_reference_numerics_normal_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1059724Z   test_reference_numerics_normal_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1059911Z   test_reference_numerics_normal_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1060099Z   test_reference_numerics_normal_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1060296Z   test_reference_numerics_normal_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1060490Z   test_reference_numerics_normal_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1060687Z   test_reference_numerics_normal_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1060878Z   test_reference_numerics_normal_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1061066Z   test_reference_numerics_normal_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1061254Z   test_reference_numerics_normal_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1061440Z   test_reference_numerics_normal_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1061629Z   test_reference_numerics_normal_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1061811Z   test_reference_numerics_normal_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1061964Z   test_reference_numerics_normal_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1062123Z   test_reference_numerics_normal_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.092s)
2023-01-11T21:23:12.1062285Z   test_reference_numerics_normal_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1062446Z   test_reference_numerics_normal_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1062634Z   test_reference_numerics_normal_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1062817Z   test_reference_numerics_normal_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1062976Z   test_reference_numerics_normal_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1063135Z   test_reference_numerics_normal_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1063290Z   test_reference_numerics_normal_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1063440Z   test_reference_numerics_normal_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1063597Z   test_reference_numerics_normal_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.152s)
2023-01-11T21:23:12.1063759Z   test_reference_numerics_normal_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.128s)
2023-01-11T21:23:12.1063923Z   test_reference_numerics_normal_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.112s)
2023-01-11T21:23:12.1064084Z   test_reference_numerics_normal_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1064242Z   test_reference_numerics_normal_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1064395Z   test_reference_numerics_normal_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1064549Z   test_reference_numerics_normal_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1064692Z   test_reference_numerics_normal_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1064846Z   test_reference_numerics_normal_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1064997Z   test_reference_numerics_normal_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1065160Z   test_reference_numerics_normal_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1065317Z   test_reference_numerics_normal_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.103s)
2023-01-11T21:23:12.1065483Z   test_reference_numerics_normal_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.118s)
2023-01-11T21:23:12.1065645Z   test_reference_numerics_normal_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.097s)
2023-01-11T21:23:12.1065805Z   test_reference_numerics_normal_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1065963Z   test_reference_numerics_normal_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1066107Z   test_reference_numerics_normal_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1066259Z   test_reference_numerics_normal_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1066415Z   test_reference_numerics_normal_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1066571Z   test_reference_numerics_normal_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1066724Z   test_reference_numerics_normal_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1066880Z   test_reference_numerics_normal_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1067036Z   test_reference_numerics_normal_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.142s)
2023-01-11T21:23:12.1067197Z   test_reference_numerics_normal_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.118s)
2023-01-11T21:23:12.1067358Z   test_reference_numerics_normal_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.105s)
2023-01-11T21:23:12.1067504Z   test_reference_numerics_normal_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1067703Z   test_reference_numerics_normal_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1067855Z   test_reference_numerics_normal_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1068032Z   test_reference_numerics_normal_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1068183Z   test_reference_numerics_normal_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1068338Z   test_reference_numerics_normal_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1068488Z   test_reference_numerics_normal_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1068645Z   test_reference_numerics_normal_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1068787Z   test_reference_numerics_normal_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.144s)
2023-01-11T21:23:12.1068949Z   test_reference_numerics_normal_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.115s)
2023-01-11T21:23:12.1069110Z   test_reference_numerics_normal_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.107s)
2023-01-11T21:23:12.1069268Z   test_reference_numerics_normal_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1069422Z   test_reference_numerics_normal_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1069576Z   test_reference_numerics_normal_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1069731Z   test_reference_numerics_normal_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1069878Z   test_reference_numerics_normal_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1070032Z   test_reference_numerics_normal_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1070169Z   test_reference_numerics_normal_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1070343Z   test_reference_numerics_normal_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1070510Z   test_reference_numerics_normal_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1070684Z   test_reference_numerics_normal_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1070855Z   test_reference_numerics_normal_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1071022Z   test_reference_numerics_normal_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1071189Z   test_reference_numerics_normal_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1071354Z   test_reference_numerics_normal_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.1071518Z   test_reference_numerics_normal_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1071668Z   test_reference_numerics_normal_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1071827Z   test_reference_numerics_normal_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1071988Z   test_reference_numerics_normal_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1072145Z   test_reference_numerics_normal_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1072306Z   test_reference_numerics_normal_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1072463Z   test_reference_numerics_normal_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.151s)
2023-01-11T21:23:12.1072622Z   test_reference_numerics_normal_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1072783Z   test_reference_numerics_normal_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1072956Z   test_reference_numerics_normal_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.093s)
2023-01-11T21:23:12.1073137Z   test_reference_numerics_normal_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:12.1073364Z   test_reference_numerics_normal_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.092s)
2023-01-11T21:23:12.1073526Z   test_reference_numerics_normal_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.085s)
2023-01-11T21:23:12.1073678Z   test_reference_numerics_normal_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.088s)
2023-01-11T21:23:12.1073861Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1074042Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1074220Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.070s)
2023-01-11T21:23:12.1074401Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1074564Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1074739Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.066s)
2023-01-11T21:23:12.1074916Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1075088Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1075266Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.137s)
2023-01-11T21:23:12.1075445Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.127s)
2023-01-11T21:23:12.1075623Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.171s)
2023-01-11T21:23:12.1075796Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.144s)
2023-01-11T21:23:12.1075967Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.141s)
2023-01-11T21:23:12.1076140Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.135s)
2023-01-11T21:23:12.1076302Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.133s)
2023-01-11T21:23:12.1076473Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.134s)
2023-01-11T21:23:12.1076649Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.213s)
2023-01-11T21:23:12.1076827Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.199s)
2023-01-11T21:23:12.1077005Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.256s)
2023-01-11T21:23:12.1077183Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.199s)
2023-01-11T21:23:12.1077354Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.200s)
2023-01-11T21:23:12.1077525Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.203s)
2023-01-11T21:23:12.1077698Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.209s)
2023-01-11T21:23:12.1077858Z   test_reference_numerics_normal_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.208s)
2023-01-11T21:23:12.1078024Z   test_reference_numerics_normal_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1078219Z   test_reference_numerics_normal_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1078409Z   test_reference_numerics_normal_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1078574Z   test_reference_numerics_normal_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1078731Z   test_reference_numerics_normal_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1078894Z   test_reference_numerics_normal_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1079052Z   test_reference_numerics_normal_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1079207Z   test_reference_numerics_normal_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1079356Z   test_reference_numerics_normal_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1079512Z   test_reference_numerics_normal_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1079673Z   test_reference_numerics_normal_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1079834Z   test_reference_numerics_normal_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1079998Z   test_reference_numerics_normal_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.086s)
2023-01-11T21:23:12.1080158Z   test_reference_numerics_normal_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1080315Z   test_reference_numerics_normal_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1080470Z   test_reference_numerics_normal_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1080625Z   test_reference_numerics_normal_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1080771Z   test_reference_numerics_normal_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1080926Z   test_reference_numerics_normal_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1081076Z   test_reference_numerics_normal_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1081231Z   test_reference_numerics_normal_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1081380Z   test_reference_numerics_normal_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1081557Z   test_reference_numerics_normal_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1081733Z   test_reference_numerics_normal_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1081906Z   test_reference_numerics_normal_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1082066Z   test_reference_numerics_normal_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1082240Z   test_reference_numerics_normal_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1082413Z   test_reference_numerics_normal_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1082596Z   test_reference_numerics_normal_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1082779Z   test_reference_numerics_normal_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.037s)
2023-01-11T21:23:12.1082956Z   test_reference_numerics_normal_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1083132Z   test_reference_numerics_normal_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1083340Z   test_reference_numerics_normal_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1083660Z   test_reference_numerics_normal_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.075s)
2023-01-11T21:23:12.1083838Z   test_reference_numerics_normal_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1083999Z   test_reference_numerics_normal_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1084174Z   test_reference_numerics_normal_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1084352Z   test_reference_numerics_normal_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1084525Z   test_reference_numerics_normal_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1084702Z   test_reference_numerics_normal_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1084874Z   test_reference_numerics_normal_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1085045Z   test_reference_numerics_normal_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1085218Z   test_reference_numerics_normal_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1085390Z   test_reference_numerics_normal_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1085552Z   test_reference_numerics_normal_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1085720Z   test_reference_numerics_normal_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1085892Z   test_reference_numerics_normal_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1086057Z   test_reference_numerics_normal_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1086232Z   test_reference_numerics_normal_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1086406Z   test_reference_numerics_normal_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1086576Z   test_reference_numerics_normal_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1086763Z   test_reference_numerics_normal_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.098s)
2023-01-11T21:23:12.1086963Z   test_reference_numerics_normal_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1087124Z   test_reference_numerics_normal_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1087296Z   test_reference_numerics_normal_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1087468Z   test_reference_numerics_normal_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1087646Z   test_reference_numerics_normal_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1087823Z   test_reference_numerics_normal_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1088002Z   test_reference_numerics_normal_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1088182Z   test_reference_numerics_normal_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1088363Z   test_reference_numerics_normal_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.075s)
2023-01-11T21:23:12.1088580Z   test_reference_numerics_normal_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1088784Z   test_reference_numerics_normal_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1088947Z   test_reference_numerics_normal_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1089123Z   test_reference_numerics_normal_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1089299Z   test_reference_numerics_normal_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1089476Z   test_reference_numerics_normal_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1089650Z   test_reference_numerics_normal_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1089826Z   test_reference_numerics_normal_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1090003Z   test_reference_numerics_normal_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1090188Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1090386Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1090572Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1090755Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1090930Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1091107Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1091287Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1091465Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1091643Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.1091819Z   test_reference_numerics_normal_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.1092000Z   test_reference_numerics_normal_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1092179Z   test_reference_numerics_normal_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1092343Z   test_reference_numerics_normal_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1092522Z   test_reference_numerics_normal_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1092700Z   test_reference_numerics_normal_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1092876Z   test_reference_numerics_normal_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1093052Z   test_reference_numerics_normal_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1093226Z   test_reference_numerics_normal_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1093407Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.970s)
2023-01-11T21:23:12.1093613Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.096s)
2023-01-11T21:23:12.1093824Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.258s)
2023-01-11T21:23:12.1093989Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.270s)
2023-01-11T21:23:12.1094165Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1094340Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1094515Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1094690Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1094866Z   test_reference_numerics_normal_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1095043Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.297s)
2023-01-11T21:23:12.1095221Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.343s)
2023-01-11T21:23:12.1095399Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.294s)
2023-01-11T21:23:12.1095561Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.299s)
2023-01-11T21:23:12.1095736Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.294s)
2023-01-11T21:23:12.1095911Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.295s)
2023-01-11T21:23:12.1096084Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.296s)
2023-01-11T21:23:12.1096258Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.294s)
2023-01-11T21:23:12.1096433Z   test_reference_numerics_normal_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.297s)
2023-01-11T21:23:12.1096612Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.391s)
2023-01-11T21:23:12.1096788Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.439s)
2023-01-11T21:23:12.1096967Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.383s)
2023-01-11T21:23:12.1097142Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.392s)
2023-01-11T21:23:12.1097306Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.388s)
2023-01-11T21:23:12.1097483Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.382s)
2023-01-11T21:23:12.1097658Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.382s)
2023-01-11T21:23:12.1097836Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.378s)
2023-01-11T21:23:12.1098010Z   test_reference_numerics_normal_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.384s)
2023-01-11T21:23:12.1098191Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.386s)
2023-01-11T21:23:12.1098368Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.437s)
2023-01-11T21:23:12.1098547Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.376s)
2023-01-11T21:23:12.1098755Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.388s)
2023-01-11T21:23:12.1098947Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.373s)
2023-01-11T21:23:12.1099125Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.377s)
2023-01-11T21:23:12.1099298Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.376s)
2023-01-11T21:23:12.1099473Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.375s)
2023-01-11T21:23:12.1099646Z   test_reference_numerics_normal_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.380s)
2023-01-11T21:23:12.1099827Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.381s)
2023-01-11T21:23:12.1100004Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.432s)
2023-01-11T21:23:12.1100185Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.378s)
2023-01-11T21:23:12.1100360Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.382s)
2023-01-11T21:23:12.1100521Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.377s)
2023-01-11T21:23:12.1100697Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.376s)
2023-01-11T21:23:12.1100871Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.384s)
2023-01-11T21:23:12.1101049Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.382s)
2023-01-11T21:23:12.1101224Z   test_reference_numerics_normal_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.386s)
2023-01-11T21:23:12.1101392Z   test_reference_numerics_normal_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1101563Z   test_reference_numerics_normal_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1101732Z   test_reference_numerics_normal_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1101895Z   test_reference_numerics_normal_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1102059Z   test_reference_numerics_normal_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1102206Z   test_reference_numerics_normal_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1102366Z   test_reference_numerics_normal_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1102530Z   test_reference_numerics_normal_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1102691Z   test_reference_numerics_normal_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1102854Z   test_reference_numerics_normal_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1103016Z   test_reference_numerics_normal_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1103174Z   test_reference_numerics_normal_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1103339Z   test_reference_numerics_normal_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1103487Z   test_reference_numerics_normal_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:12.1103651Z   test_reference_numerics_normal_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1103842Z   test_reference_numerics_normal_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1103998Z   test_reference_numerics_normal_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1104185Z   test_reference_numerics_normal_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1104348Z   test_reference_numerics_normal_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1104509Z   test_reference_numerics_normal_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1104668Z   test_reference_numerics_normal_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1104826Z   test_reference_numerics_normal_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1104971Z   test_reference_numerics_normal_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1105130Z   test_reference_numerics_normal_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1105291Z   test_reference_numerics_normal_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1105453Z   test_reference_numerics_normal_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1105614Z   test_reference_numerics_normal_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1105772Z   test_reference_numerics_normal_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.039s)
2023-01-11T21:23:12.1105928Z   test_reference_numerics_normal_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1106086Z   test_reference_numerics_normal_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1106241Z   test_reference_numerics_normal_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1106387Z   test_reference_numerics_normal_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1106538Z   test_reference_numerics_normal_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.1106694Z   test_reference_numerics_normal_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1106844Z   test_reference_numerics_normal_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1107016Z   test_reference_numerics_normal_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1107181Z   test_reference_numerics_normal_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1107354Z   test_reference_numerics_normal_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1107525Z   test_reference_numerics_normal_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1107696Z   test_reference_numerics_normal_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1107852Z   test_reference_numerics_normal_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1108016Z   test_reference_numerics_normal_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1108181Z   test_reference_numerics_normal_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1108340Z   test_reference_numerics_normal_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1108497Z   test_reference_numerics_normal_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1108661Z   test_reference_numerics_normal_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1108823Z   test_reference_numerics_normal_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1109014Z   test_reference_numerics_normal_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1109165Z   test_reference_numerics_normal_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1109355Z   test_reference_numerics_normal_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1109516Z   test_reference_numerics_normal_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1109672Z   test_reference_numerics_normal_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.014s)
2023-01-11T21:23:12.1109828Z   test_reference_numerics_normal_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1109984Z   test_reference_numerics_normal_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1110140Z   test_reference_numerics_normal_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1110317Z   test_reference_numerics_normal_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1110493Z   test_reference_numerics_normal_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1110655Z   test_reference_numerics_normal_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1110832Z   test_reference_numerics_normal_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1110999Z   test_reference_numerics_normal_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.1111167Z   test_reference_numerics_normal_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1111346Z   test_reference_numerics_normal_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1111524Z   test_reference_numerics_normal_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.1111702Z   test_reference_numerics_normal_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1111866Z   test_reference_numerics_normal_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1112025Z   test_reference_numerics_normal_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.113s)
2023-01-11T21:23:12.1112177Z   test_reference_numerics_normal_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:12.1112341Z   test_reference_numerics_normal_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1112501Z   test_reference_numerics_normal_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1112659Z   test_reference_numerics_normal_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1112816Z   test_reference_numerics_normal_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1112974Z   test_reference_numerics_normal_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1113131Z   test_reference_numerics_normal_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1113349Z   test_reference_numerics_normal_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1113504Z   test_reference_numerics_normal_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1113652Z   test_reference_numerics_normal_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.1113808Z   test_reference_numerics_normal_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1113970Z   test_reference_numerics_normal_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.1114131Z   test_reference_numerics_normal_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.104s)
2023-01-11T21:23:12.1114322Z   test_reference_numerics_normal_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1114479Z   test_reference_numerics_normal_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1114667Z   test_reference_numerics_normal_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1114824Z   test_reference_numerics_normal_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1114978Z   test_reference_numerics_normal_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1115119Z   test_reference_numerics_normal_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1115268Z   test_reference_numerics_normal_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1115421Z   test_reference_numerics_normal_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1115571Z   test_reference_numerics_normal_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1115736Z   test_reference_numerics_normal_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1115896Z   test_reference_numerics_normal_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:12.1116064Z   test_reference_numerics_normal_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.120s)
2023-01-11T21:23:12.1116231Z   test_reference_numerics_normal_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.087s)
2023-01-11T21:23:12.1116381Z   test_reference_numerics_normal_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1116540Z   test_reference_numerics_normal_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1116700Z   test_reference_numerics_normal_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1116859Z   test_reference_numerics_normal_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1117021Z   test_reference_numerics_normal_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1117178Z   test_reference_numerics_normal_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1117335Z   test_reference_numerics_normal_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1117492Z   test_reference_numerics_normal_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1117648Z   test_reference_numerics_normal_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.041s)
2023-01-11T21:23:12.1117795Z   test_reference_numerics_normal_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1117952Z   test_reference_numerics_normal_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1118110Z   test_reference_numerics_normal_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1118267Z   test_reference_numerics_normal_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1118424Z   test_reference_numerics_normal_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1118577Z   test_reference_numerics_normal_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1118731Z   test_reference_numerics_normal_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1118880Z   test_reference_numerics_normal_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1119031Z   test_reference_numerics_normal_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1119189Z   test_reference_numerics_normal_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1119351Z   test_reference_numerics_normal_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1119537Z   test_reference_numerics_normal_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.1119731Z   test_reference_numerics_normal_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.013s)
2023-01-11T21:23:12.1119893Z   test_reference_numerics_normal_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1120050Z   test_reference_numerics_normal_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1120208Z   test_reference_numerics_normal_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1120363Z   test_reference_numerics_normal_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1120509Z   test_reference_numerics_normal_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1120667Z   test_reference_numerics_normal_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1120823Z   test_reference_numerics_normal_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.100s)
2023-01-11T21:23:12.1120983Z   test_reference_numerics_normal_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.152s)
2023-01-11T21:23:12.1121144Z   test_reference_numerics_normal_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.126s)
2023-01-11T21:23:12.1121300Z   test_reference_numerics_normal_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1121457Z   test_reference_numerics_normal_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1121609Z   test_reference_numerics_normal_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.028s)
2023-01-11T21:23:12.1121761Z   test_reference_numerics_normal_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1121899Z   test_reference_numerics_normal_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1122052Z   test_reference_numerics_normal_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1122202Z   test_reference_numerics_normal_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1122363Z   test_reference_numerics_normal_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1122517Z   test_reference_numerics_normal_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:12.1122679Z   test_reference_numerics_normal_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.162s)
2023-01-11T21:23:12.1122841Z   test_reference_numerics_normal_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.140s)
2023-01-11T21:23:12.1122997Z   test_reference_numerics_normal_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1123142Z   test_reference_numerics_normal_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1123299Z   test_reference_numerics_normal_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1123539Z   test_reference_numerics_normal_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1123693Z   test_reference_numerics_normal_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1123846Z   test_reference_numerics_normal_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1123996Z   test_reference_numerics_normal_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1124155Z   test_reference_numerics_normal_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1124308Z   test_reference_numerics_normal_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.090s)
2023-01-11T21:23:12.1124471Z   test_reference_numerics_normal_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.149s)
2023-01-11T21:23:12.1124619Z   test_reference_numerics_normal_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.125s)
2023-01-11T21:23:12.1124820Z   test_reference_numerics_normal_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1125010Z   test_reference_numerics_normal_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1125164Z   test_reference_numerics_normal_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1125317Z   test_reference_numerics_normal_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1125466Z   test_reference_numerics_normal_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1125619Z   test_reference_numerics_normal_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1125769Z   test_reference_numerics_normal_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1125939Z   test_reference_numerics_normal_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.214s)
2023-01-11T21:23:12.1126102Z   test_reference_numerics_normal_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.269s)
2023-01-11T21:23:12.1126276Z   test_reference_numerics_normal_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.286s)
2023-01-11T21:23:12.1126446Z   test_reference_numerics_normal_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.255s)
2023-01-11T21:23:12.1126617Z   test_reference_numerics_normal_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.253s)
2023-01-11T21:23:12.1126785Z   test_reference_numerics_normal_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.259s)
2023-01-11T21:23:12.1126953Z   test_reference_numerics_normal_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.253s)
2023-01-11T21:23:12.1127120Z   test_reference_numerics_normal_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.338s)
2023-01-11T21:23:12.1127293Z   test_reference_numerics_normal_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.069s)
2023-01-11T21:23:12.1127471Z   test_reference_numerics_normal_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1127633Z   test_reference_numerics_normal_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.064s)
2023-01-11T21:23:12.1127804Z   test_reference_numerics_normal_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1127973Z   test_reference_numerics_normal_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1128136Z   test_reference_numerics_normal_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1128304Z   test_reference_numerics_normal_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1128473Z   test_reference_numerics_normal_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1128645Z   test_reference_numerics_normal_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.070s)
2023-01-11T21:23:12.1128818Z   test_reference_numerics_normal_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1128988Z   test_reference_numerics_normal_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.066s)
2023-01-11T21:23:12.1129144Z   test_reference_numerics_normal_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1129309Z   test_reference_numerics_normal_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1129472Z   test_reference_numerics_normal_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1129638Z   test_reference_numerics_normal_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1129807Z   test_reference_numerics_normal_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1130012Z   test_reference_numerics_normal_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.083s)
2023-01-11T21:23:12.1130248Z   test_reference_numerics_normal_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1130417Z   test_reference_numerics_normal_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1130582Z   test_reference_numerics_normal_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1130735Z   test_reference_numerics_normal_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1130899Z   test_reference_numerics_normal_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1131065Z   test_reference_numerics_normal_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.052s)
2023-01-11T21:23:12.1131237Z   test_reference_numerics_normal_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1131407Z   test_reference_numerics_normal_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.086s)
2023-01-11T21:23:12.1131577Z   test_reference_numerics_normal_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1131745Z   test_reference_numerics_normal_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.055s)
2023-01-11T21:23:12.1131911Z   test_reference_numerics_normal_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1132077Z   test_reference_numerics_normal_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1132232Z   test_reference_numerics_normal_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1132402Z   test_reference_numerics_normal_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1132570Z   test_reference_numerics_normal_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1132739Z   test_reference_numerics_normal_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.038s)
2023-01-11T21:23:12.1132906Z   test_reference_numerics_normal_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.1133074Z   test_reference_numerics_normal_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1133243Z   test_reference_numerics_normal_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1133411Z   test_reference_numerics_normal_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.043s)
2023-01-11T21:23:12.1133571Z   test_reference_numerics_normal_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1133719Z   test_reference_numerics_normal_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1133883Z   test_reference_numerics_normal_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1134043Z   test_reference_numerics_normal_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1134200Z   test_reference_numerics_normal_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.075s)
2023-01-11T21:23:12.1134368Z   test_reference_numerics_normal_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1134534Z   test_reference_numerics_normal_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1134701Z   test_reference_numerics_normal_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1134867Z   test_reference_numerics_normal_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1135058Z   test_reference_numerics_normal_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1135213Z   test_reference_numerics_normal_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1135403Z   test_reference_numerics_normal_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1135574Z   test_reference_numerics_normal_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:12.1135737Z   test_reference_numerics_normal_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.190s)
2023-01-11T21:23:12.1135901Z   test_reference_numerics_normal_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.097s)
2023-01-11T21:23:12.1136065Z   test_reference_numerics_normal_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:12.1136229Z   test_reference_numerics_normal_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:12.1136390Z   test_reference_numerics_normal_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.097s)
2023-01-11T21:23:12.1136548Z   test_reference_numerics_normal_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.102s)
2023-01-11T21:23:12.1136697Z   test_reference_numerics_normal_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.098s)
2023-01-11T21:23:12.1136854Z   test_reference_numerics_normal_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.091s)
2023-01-11T21:23:12.1137015Z   test_reference_numerics_normal_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.197s)
2023-01-11T21:23:12.1137177Z   test_reference_numerics_normal_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:12.1137336Z   test_reference_numerics_normal_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.114s)
2023-01-11T21:23:12.1137495Z   test_reference_numerics_normal_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.106s)
2023-01-11T21:23:12.1137653Z   test_reference_numerics_normal_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.106s)
2023-01-11T21:23:12.1137807Z   test_reference_numerics_normal_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.105s)
2023-01-11T21:23:12.1137964Z   test_reference_numerics_normal_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.100s)
2023-01-11T21:23:12.1138107Z   test_reference_numerics_normal_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.108s)
2023-01-11T21:23:12.1138261Z   test_reference_numerics_normal_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.174s)
2023-01-11T21:23:12.1138427Z   test_reference_numerics_normal_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.089s)
2023-01-11T21:23:12.1138592Z   test_reference_numerics_normal_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.101s)
2023-01-11T21:23:12.1138756Z   test_reference_numerics_normal_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.091s)
2023-01-11T21:23:12.1138918Z   test_reference_numerics_normal_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.089s)
2023-01-11T21:23:12.1139080Z   test_reference_numerics_normal_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.094s)
2023-01-11T21:23:12.1139241Z   test_reference_numerics_normal_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.089s)
2023-01-11T21:23:12.1139398Z   test_reference_numerics_normal_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.083s)
2023-01-11T21:23:12.1139558Z   test_reference_numerics_normal_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.104s)
2023-01-11T21:23:12.1139735Z   test_reference_numerics_normal_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.067s)
2023-01-11T21:23:12.1139910Z   test_reference_numerics_normal_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.070s)
2023-01-11T21:23:12.1140081Z   test_reference_numerics_normal_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.069s)
2023-01-11T21:23:12.1140279Z   test_reference_numerics_normal_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:12.1140475Z   test_reference_numerics_normal_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.072s)
2023-01-11T21:23:12.1140645Z   test_reference_numerics_normal_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:12.1140815Z   test_reference_numerics_normal_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1140996Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.214s)
2023-01-11T21:23:12.1141167Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.110s)
2023-01-11T21:23:12.1141343Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.113s)
2023-01-11T21:23:12.1141525Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.112s)
2023-01-11T21:23:12.1141701Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.110s)
2023-01-11T21:23:12.1141873Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.115s)
2023-01-11T21:23:12.1142049Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.111s)
2023-01-11T21:23:12.1142221Z   test_reference_numerics_normal_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.105s)
2023-01-11T21:23:12.1142396Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.209s)
2023-01-11T21:23:12.1142572Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.109s)
2023-01-11T21:23:12.1142736Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.114s)
2023-01-11T21:23:12.1142910Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.112s)
2023-01-11T21:23:12.1143080Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.110s)
2023-01-11T21:23:12.1143247Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.122s)
2023-01-11T21:23:12.1143420Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.110s)
2023-01-11T21:23:12.1143589Z   test_reference_numerics_normal_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.104s)
2023-01-11T21:23:12.1143762Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.188s)
2023-01-11T21:23:12.1143940Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1144115Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.081s)
2023-01-11T21:23:12.1144285Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1144442Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.1144609Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.082s)
2023-01-11T21:23:12.1144782Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.1144951Z   test_reference_numerics_normal_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.101s)
2023-01-11T21:23:12.1145151Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.186s)
2023-01-11T21:23:12.1145352Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1145527Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.081s)
2023-01-11T21:23:12.1145696Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1145864Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.1146020Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.082s)
2023-01-11T21:23:12.1146193Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.1146363Z   test_reference_numerics_normal_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.102s)
2023-01-11T21:23:12.1146535Z   test_reference_numerics_normal_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1146701Z   test_reference_numerics_normal_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:12.1146870Z   test_reference_numerics_normal_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1151710Z   test_reference_numerics_normal_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1151914Z   test_reference_numerics_normal_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1152085Z   test_reference_numerics_normal_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.044s)
2023-01-11T21:23:12.1152236Z   test_reference_numerics_normal_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.048s)
2023-01-11T21:23:12.1152412Z   test_reference_numerics_normal_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1152578Z   test_reference_numerics_normal_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1152745Z   test_reference_numerics_normal_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1152918Z   test_reference_numerics_normal_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.047s)
2023-01-11T21:23:12.1153092Z   test_reference_numerics_normal_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.051s)
2023-01-11T21:23:12.1153345Z   test_reference_numerics_normal_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1153520Z   test_reference_numerics_normal_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1153686Z   test_reference_numerics_normal_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.035s)
2023-01-11T21:23:12.1153840Z   test_reference_numerics_normal_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1154011Z   test_reference_numerics_normal_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1154220Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.056s)
2023-01-11T21:23:12.1154419Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:12.1154621Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1154818Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1155094Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1155329Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.060s)
2023-01-11T21:23:12.1155530Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.061s)
2023-01-11T21:23:12.1155725Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.058s)
2023-01-11T21:23:12.1155907Z   test_reference_numerics_normal_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:12.1156101Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.197s)
2023-01-11T21:23:12.1156295Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.1156492Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.1156682Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.1156871Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.073s)
2023-01-11T21:23:12.1157054Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.1157237Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.073s)
2023-01-11T21:23:12.1157424Z   test_reference_numerics_normal_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.096s)
2023-01-11T21:23:12.1157610Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.200s)
2023-01-11T21:23:12.1157790Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.078s)
2023-01-11T21:23:12.1157979Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.077s)
2023-01-11T21:23:12.1158164Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.076s)
2023-01-11T21:23:12.1158352Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.1158540Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.079s)
2023-01-11T21:23:12.1158729Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.075s)
2023-01-11T21:23:12.1158920Z   test_reference_numerics_normal_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.097s)
2023-01-11T21:23:12.1159104Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.099s)
2023-01-11T21:23:12.1159290Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1159464Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.062s)
2023-01-11T21:23:12.1159648Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.066s)
2023-01-11T21:23:12.1159824Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.068s)
2023-01-11T21:23:12.1159996Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.066s)
2023-01-11T21:23:12.1160209Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.064s)
2023-01-11T21:23:12.1160384Z   test_reference_numerics_normal_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.069s)
2023-01-11T21:23:12.1160584Z   test_reference_numerics_normal_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1160745Z   test_reference_numerics_normal_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.105s)
2023-01-11T21:23:12.1160911Z   test_reference_numerics_normal_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.092s)
2023-01-11T21:23:12.1161073Z   test_reference_numerics_normal_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.074s)
2023-01-11T21:23:12.1161220Z   test_reference_numerics_normal_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.024s)
2023-01-11T21:23:12.1161379Z   test_reference_numerics_normal_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1161538Z   test_reference_numerics_normal_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1161694Z   test_reference_numerics_normal_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.029s)
2023-01-11T21:23:12.1161847Z   test_reference_numerics_normal_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.034s)
2023-01-11T21:23:12.1162002Z   test_reference_numerics_normal_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1162152Z   test_reference_numerics_normal_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.036s)
2023-01-11T21:23:12.1162317Z   test_reference_numerics_normal_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1162463Z   test_reference_numerics_normal_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.040s)
2023-01-11T21:23:12.1162633Z   test_reference_numerics_normal_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1162802Z   test_reference_numerics_normal_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.045s)
2023-01-11T21:23:12.1162967Z   test_reference_numerics_normal_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1163131Z   test_reference_numerics_normal_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1163294Z   test_reference_numerics_normal_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.031s)
2023-01-11T21:23:12.1163608Z   test_reference_numerics_normal_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1163770Z   test_reference_numerics_normal_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1163930Z   test_reference_numerics_normal_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1164076Z   test_reference_numerics_normal_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1164234Z   test_reference_numerics_normal_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1164394Z   test_reference_numerics_normal_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1164553Z   test_reference_numerics_normal_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.114s)
2023-01-11T21:23:12.1164716Z   test_reference_numerics_normal_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.156s)
2023-01-11T21:23:12.1164878Z   test_reference_numerics_normal_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.119s)
2023-01-11T21:23:12.1165036Z   test_reference_numerics_normal_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.050s)
2023-01-11T21:23:12.1165193Z   test_reference_numerics_normal_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (7.890s)
2023-01-11T21:23:12.1165351Z   test_reference_numerics_normal_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.054s)
2023-01-11T21:23:12.1165493Z   test_reference_numerics_normal_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.065s)
2023-01-11T21:23:12.1165697Z   test_reference_numerics_normal_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.071s)
2023-01-11T21:23:12.1165881Z   test_reference_numerics_normal_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1166034Z   test_reference_numerics_normal_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.059s)
2023-01-11T21:23:12.1166199Z   test_reference_numerics_normal_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.046s)
2023-01-11T21:23:12.1166356Z   test_reference_numerics_normal_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... ok (0.113s)
2023-01-11T21:23:12.1166523Z   test_reference_numerics_normal_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.149s)
2023-01-11T21:23:12.1166687Z   test_reference_numerics_normal_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.112s)
2023-01-11T21:23:12.1166830Z   test_reference_numerics_normal_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.042s)
2023-01-11T21:23:12.1166993Z   test_reference_numerics_normal_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1167152Z   test_reference_numerics_normal_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.049s)
2023-01-11T21:23:12.1167310Z   test_reference_numerics_normal_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.053s)
2023-01-11T21:23:12.1167465Z   test_reference_numerics_normal_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.057s)
2023-01-11T21:23:12.1167621Z   test_reference_numerics_normal_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1167774Z   test_reference_numerics_normal_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.063s)
2023-01-11T21:23:12.1167938Z   test_reference_numerics_normal_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.030s)
2023-01-11T21:23:12.1168100Z   test_reference_numerics_normal_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.027s)
2023-01-11T21:23:12.1168249Z   test_reference_numerics_normal_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1168404Z   test_reference_numerics_normal_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1168563Z   test_reference_numerics_normal_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1168720Z   test_reference_numerics_normal_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1168874Z   test_reference_numerics_normal_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.032s)
2023-01-11T21:23:12.1169029Z   test_reference_numerics_normal_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.033s)
2023-01-11T21:23:12.1169184Z   test_reference_numerics_small_abs_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1169342Z   test_reference_numerics_small_abs_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1169501Z   test_reference_numerics_small_abs_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1169650Z   test_reference_numerics_small_abs_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1169807Z   test_reference_numerics_small_abs_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1169965Z   test_reference_numerics_small_abs_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1170118Z   test_reference_numerics_small_abs_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1170271Z   test_reference_numerics_small_abs_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1170424Z   test_reference_numerics_small_abs_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1170573Z   test_reference_numerics_small_abs_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1170724Z   test_reference_numerics_small_abs_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1170888Z   test_reference_numerics_small_abs_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1171072Z   test_reference_numerics_small_acos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1171262Z   test_reference_numerics_small_acos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1171422Z   test_reference_numerics_small_acos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1171582Z   test_reference_numerics_small_acos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1171738Z   test_reference_numerics_small_acos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1171894Z   test_reference_numerics_small_acos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172049Z   test_reference_numerics_small_acos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172204Z   test_reference_numerics_small_acos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172343Z   test_reference_numerics_small_acos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172495Z   test_reference_numerics_small_acos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172644Z   test_reference_numerics_small_acos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172805Z   test_reference_numerics_small_acosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1172996Z   test_reference_numerics_small_acosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1173161Z   test_reference_numerics_small_acosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1173323Z   test_reference_numerics_small_acosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.026s)
2023-01-11T21:23:12.1173483Z   test_reference_numerics_small_acosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1173642Z   test_reference_numerics_small_acosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1173787Z   test_reference_numerics_small_acosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1173941Z   test_reference_numerics_small_acosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1174091Z   test_reference_numerics_small_acosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1174246Z   test_reference_numerics_small_acosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1174396Z   test_reference_numerics_small_acosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1174576Z   test_reference_numerics_small_angle_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.002s)
2023-01-11T21:23:12.1174766Z   test_reference_numerics_small_angle_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1174932Z   test_reference_numerics_small_angle_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1175081Z   test_reference_numerics_small_angle_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1175258Z   test_reference_numerics_small_angle_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.1175433Z   test_reference_numerics_small_angle_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.1175605Z   test_reference_numerics_small_angle_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... expected failure (0.001s)
2023-01-11T21:23:12.1175760Z   test_reference_numerics_small_angle_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1175913Z   test_reference_numerics_small_angle_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1176097Z   test_reference_numerics_small_angle_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1176281Z   test_reference_numerics_small_angle_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1176433Z   test_reference_numerics_small_angle_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1176580Z   test_reference_numerics_small_asin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1176766Z   test_reference_numerics_small_asin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1176928Z   test_reference_numerics_small_asin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.025s)
2023-01-11T21:23:12.1177088Z   test_reference_numerics_small_asin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1177243Z   test_reference_numerics_small_asin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1177401Z   test_reference_numerics_small_asin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1177557Z   test_reference_numerics_small_asin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1177712Z   test_reference_numerics_small_asin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1177861Z   test_reference_numerics_small_asin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1178003Z   test_reference_numerics_small_asin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1178154Z   test_reference_numerics_small_asin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1178314Z   test_reference_numerics_small_asinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1178501Z   test_reference_numerics_small_asinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1178683Z   test_reference_numerics_small_asinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1178862Z   test_reference_numerics_small_asinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1179019Z   test_reference_numerics_small_asinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1179180Z   test_reference_numerics_small_asinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1179334Z   test_reference_numerics_small_asinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1179477Z   test_reference_numerics_small_asinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1179627Z   test_reference_numerics_small_asinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1179780Z   test_reference_numerics_small_asinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1179933Z   test_reference_numerics_small_asinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1180089Z   test_reference_numerics_small_atan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1180274Z   test_reference_numerics_small_atan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1180452Z   test_reference_numerics_small_atan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1180629Z   test_reference_numerics_small_atan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1180786Z   test_reference_numerics_small_atan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1180932Z   test_reference_numerics_small_atan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1181087Z   test_reference_numerics_small_atan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1181270Z   test_reference_numerics_small_atan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1181446Z   test_reference_numerics_small_atan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1181601Z   test_reference_numerics_small_atan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1181752Z   test_reference_numerics_small_atan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1181911Z   test_reference_numerics_small_atanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1182096Z   test_reference_numerics_small_atanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1182263Z   test_reference_numerics_small_atanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1182441Z   test_reference_numerics_small_atanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1182605Z   test_reference_numerics_small_atanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1182764Z   test_reference_numerics_small_atanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1182921Z   test_reference_numerics_small_atanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1183076Z   test_reference_numerics_small_atanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1183227Z   test_reference_numerics_small_atanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1183382Z   test_reference_numerics_small_atanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1183533Z   test_reference_numerics_small_atanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1183714Z   test_reference_numerics_small_bitwise_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1183880Z   test_reference_numerics_small_bitwise_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1184042Z   test_reference_numerics_small_bitwise_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1184200Z   test_reference_numerics_small_bitwise_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1184360Z   test_reference_numerics_small_bitwise_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1184525Z   test_reference_numerics_small_bitwise_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1184685Z   test_reference_numerics_small_ceil_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1184843Z   test_reference_numerics_small_ceil_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185001Z   test_reference_numerics_small_ceil_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185144Z   test_reference_numerics_small_ceil_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185298Z   test_reference_numerics_small_ceil_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185447Z   test_reference_numerics_small_ceil_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185600Z   test_reference_numerics_small_ceil_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185749Z   test_reference_numerics_small_ceil_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1185907Z   test_reference_numerics_small_conj_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1186095Z   test_reference_numerics_small_conj_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1186257Z   test_reference_numerics_small_conj_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1186447Z   test_reference_numerics_small_conj_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1186622Z   test_reference_numerics_small_conj_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1186784Z   test_reference_numerics_small_conj_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1186939Z   test_reference_numerics_small_conj_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1187095Z   test_reference_numerics_small_conj_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1187246Z   test_reference_numerics_small_conj_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1187401Z   test_reference_numerics_small_conj_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1187552Z   test_reference_numerics_small_conj_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1187706Z   test_reference_numerics_small_conj_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1187842Z   test_reference_numerics_small_conj_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1188018Z   test_reference_numerics_small_conj_physical_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1188215Z   test_reference_numerics_small_conj_physical_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1188390Z   test_reference_numerics_small_conj_physical_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1188561Z   test_reference_numerics_small_conj_physical_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1188731Z   test_reference_numerics_small_conj_physical_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1188900Z   test_reference_numerics_small_conj_physical_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1189071Z   test_reference_numerics_small_conj_physical_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1189241Z   test_reference_numerics_small_conj_physical_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1189394Z   test_reference_numerics_small_conj_physical_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1189558Z   test_reference_numerics_small_conj_physical_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1189715Z   test_reference_numerics_small_conj_physical_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1189879Z   test_reference_numerics_small_conj_physical_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1190039Z   test_reference_numerics_small_conj_physical_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1190195Z   test_reference_numerics_small_cos_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1190380Z   test_reference_numerics_small_cos_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1190542Z   test_reference_numerics_small_cos_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1190703Z   test_reference_numerics_small_cos_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1190846Z   test_reference_numerics_small_cos_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191001Z   test_reference_numerics_small_cos_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191153Z   test_reference_numerics_small_cos_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191303Z   test_reference_numerics_small_cos_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191451Z   test_reference_numerics_small_cos_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191637Z   test_reference_numerics_small_cos_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191816Z   test_reference_numerics_small_cos_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1191977Z   test_reference_numerics_small_cosh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1192162Z   test_reference_numerics_small_cosh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1192311Z   test_reference_numerics_small_cosh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1192473Z   test_reference_numerics_small_cosh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1192630Z   test_reference_numerics_small_cosh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1192788Z   test_reference_numerics_small_cosh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1192947Z   test_reference_numerics_small_cosh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1193103Z   test_reference_numerics_small_cosh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1193323Z   test_reference_numerics_small_cosh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1193480Z   test_reference_numerics_small_cosh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1193618Z   test_reference_numerics_small_cosh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1193784Z   test_reference_numerics_small_deg2rad_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1193975Z   test_reference_numerics_small_deg2rad_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1194137Z   test_reference_numerics_small_deg2rad_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1194305Z   test_reference_numerics_small_deg2rad_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1194471Z   test_reference_numerics_small_deg2rad_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1194635Z   test_reference_numerics_small_deg2rad_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1194795Z   test_reference_numerics_small_deg2rad_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1194955Z   test_reference_numerics_small_deg2rad_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1195101Z   test_reference_numerics_small_deg2rad_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1195261Z   test_reference_numerics_small_deg2rad_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1195425Z   test_reference_numerics_small_digamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1195618Z   test_reference_numerics_small_digamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1195784Z   test_reference_numerics_small_digamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1195949Z   test_reference_numerics_small_digamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1196110Z   test_reference_numerics_small_digamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1196270Z   test_reference_numerics_small_digamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1196429Z   test_reference_numerics_small_digamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1196575Z   test_reference_numerics_small_digamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1196732Z   test_reference_numerics_small_digamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1196923Z   test_reference_numerics_small_erf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1197148Z   test_reference_numerics_small_erf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1197304Z   test_reference_numerics_small_erf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1197460Z   test_reference_numerics_small_erf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1197612Z   test_reference_numerics_small_erf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1197763Z   test_reference_numerics_small_erf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1197912Z   test_reference_numerics_small_erf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1198050Z   test_reference_numerics_small_erf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1198201Z   test_reference_numerics_small_erf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1198357Z   test_reference_numerics_small_erfc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1198544Z   test_reference_numerics_small_erfc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1198700Z   test_reference_numerics_small_erfc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1198856Z   test_reference_numerics_small_erfc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199010Z   test_reference_numerics_small_erfc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199164Z   test_reference_numerics_small_erfc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199314Z   test_reference_numerics_small_erfc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199455Z   test_reference_numerics_small_erfc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199606Z   test_reference_numerics_small_erfc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199769Z   test_reference_numerics_small_erfinv_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1199956Z   test_reference_numerics_small_erfinv_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1200118Z   test_reference_numerics_small_erfinv_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1200280Z   test_reference_numerics_small_erfinv_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1200438Z   test_reference_numerics_small_erfinv_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1200598Z   test_reference_numerics_small_erfinv_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1200742Z   test_reference_numerics_small_erfinv_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1200897Z   test_reference_numerics_small_erfinv_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1201053Z   test_reference_numerics_small_erfinv_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1201211Z   test_reference_numerics_small_exp2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1201394Z   test_reference_numerics_small_exp2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1201546Z   test_reference_numerics_small_exp2_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1201697Z   test_reference_numerics_small_exp2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1201850Z   test_reference_numerics_small_exp2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1202041Z   test_reference_numerics_small_exp2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1202180Z   test_reference_numerics_small_exp2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1202357Z   test_reference_numerics_small_exp2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1202512Z   test_reference_numerics_small_exp2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1202661Z   test_reference_numerics_small_exp2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1202839Z   test_reference_numerics_small_exp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:23:12.1203024Z   test_reference_numerics_small_exp_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1203188Z   test_reference_numerics_small_exp_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1203349Z   test_reference_numerics_small_exp_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1203594Z   test_reference_numerics_small_exp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1203739Z   test_reference_numerics_small_exp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1203893Z   test_reference_numerics_small_exp_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1204049Z   test_reference_numerics_small_exp_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1204200Z   test_reference_numerics_small_exp_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1204355Z   test_reference_numerics_small_exp_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1204506Z   test_reference_numerics_small_exp_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1204688Z   test_reference_numerics_small_expm1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1204878Z   test_reference_numerics_small_expm1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1205024Z   test_reference_numerics_small_expm1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1205184Z   test_reference_numerics_small_expm1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1205341Z   test_reference_numerics_small_expm1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1205497Z   test_reference_numerics_small_expm1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1205653Z   test_reference_numerics_small_expm1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1205809Z   test_reference_numerics_small_expm1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1205962Z   test_reference_numerics_small_expm1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1206120Z   test_reference_numerics_small_fill_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1206307Z   test_reference_numerics_small_fill_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1206457Z   test_reference_numerics_small_fill_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1206620Z   test_reference_numerics_small_fill_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1206783Z   test_reference_numerics_small_fill_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1206940Z   test_reference_numerics_small_fill_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1207097Z   test_reference_numerics_small_fill_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1207254Z   test_reference_numerics_small_fill_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1207456Z   test_reference_numerics_small_fill_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1207652Z   test_reference_numerics_small_fill_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1207805Z   test_reference_numerics_small_fill_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1207945Z   test_reference_numerics_small_fill_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1208096Z   test_reference_numerics_small_fill_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1208259Z   test_reference_numerics_small_floor_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1208418Z   test_reference_numerics_small_floor_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1208578Z   test_reference_numerics_small_floor_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1208736Z   test_reference_numerics_small_floor_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1208891Z   test_reference_numerics_small_floor_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209045Z   test_reference_numerics_small_floor_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209185Z   test_reference_numerics_small_floor_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209337Z   test_reference_numerics_small_floor_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209495Z   test_reference_numerics_small_frac_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209656Z   test_reference_numerics_small_frac_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209814Z   test_reference_numerics_small_frac_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1209974Z   test_reference_numerics_small_frac_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1210134Z   test_reference_numerics_small_frexp_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1210294Z   test_reference_numerics_small_frexp_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1210451Z   test_reference_numerics_small_frexp_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1210596Z   test_reference_numerics_small_frexp_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1210750Z   test_reference_numerics_small_i0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1210932Z   test_reference_numerics_small_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1211085Z   test_reference_numerics_small_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1211238Z   test_reference_numerics_small_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1211390Z   test_reference_numerics_small_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1211543Z   test_reference_numerics_small_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1211690Z   test_reference_numerics_small_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1211840Z   test_reference_numerics_small_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1211980Z   test_reference_numerics_small_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1212141Z   test_reference_numerics_small_imag_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1212302Z   test_reference_numerics_small_imag_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1212464Z   test_reference_numerics_small_imag_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1212658Z   test_reference_numerics_small_isfinite_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1212873Z   test_reference_numerics_small_isfinite_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1213042Z   test_reference_numerics_small_isfinite_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1213207Z   test_reference_numerics_small_isfinite_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1213370Z   test_reference_numerics_small_isfinite_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1213520Z   test_reference_numerics_small_isfinite_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1213678Z   test_reference_numerics_small_isfinite_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1213833Z   test_reference_numerics_small_isfinite_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1213994Z   test_reference_numerics_small_isfinite_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1214154Z   test_reference_numerics_small_isfinite_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1214312Z   test_reference_numerics_small_isfinite_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1214472Z   test_reference_numerics_small_isfinite_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1214627Z   test_reference_numerics_small_isfinite_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1214772Z   test_reference_numerics_small_isinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1214958Z   test_reference_numerics_small_isinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1215120Z   test_reference_numerics_small_isinf_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1215283Z   test_reference_numerics_small_isinf_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1215446Z   test_reference_numerics_small_isinf_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1215605Z   test_reference_numerics_small_isinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1215763Z   test_reference_numerics_small_isinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1215919Z   test_reference_numerics_small_isinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1216073Z   test_reference_numerics_small_isinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1216215Z   test_reference_numerics_small_isinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1216366Z   test_reference_numerics_small_isinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1216521Z   test_reference_numerics_small_isinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1216672Z   test_reference_numerics_small_isinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1216831Z   test_reference_numerics_small_isnan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1217016Z   test_reference_numerics_small_isnan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1217178Z   test_reference_numerics_small_isnan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1217339Z   test_reference_numerics_small_isnan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1217495Z   test_reference_numerics_small_isnan_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1217641Z   test_reference_numerics_small_isnan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1217865Z   test_reference_numerics_small_isnan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1218046Z   test_reference_numerics_small_isnan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1218202Z   test_reference_numerics_small_isnan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1218355Z   test_reference_numerics_small_isnan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1218511Z   test_reference_numerics_small_isnan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1218664Z   test_reference_numerics_small_isnan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1218831Z   test_reference_numerics_small_isneginf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1219022Z   test_reference_numerics_small_isneginf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1219173Z   test_reference_numerics_small_isneginf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1219334Z   test_reference_numerics_small_isneginf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1219499Z   test_reference_numerics_small_isneginf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1219660Z   test_reference_numerics_small_isneginf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1219826Z   test_reference_numerics_small_isneginf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1219991Z   test_reference_numerics_small_isneginf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1220150Z   test_reference_numerics_small_isneginf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1220308Z   test_reference_numerics_small_isneginf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1220460Z   test_reference_numerics_small_isposinf_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1220650Z   test_reference_numerics_small_isposinf_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1220812Z   test_reference_numerics_small_isposinf_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1220968Z   test_reference_numerics_small_isposinf_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1221123Z   test_reference_numerics_small_isposinf_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1221283Z   test_reference_numerics_small_isposinf_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1221440Z   test_reference_numerics_small_isposinf_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1221599Z   test_reference_numerics_small_isposinf_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1221760Z   test_reference_numerics_small_isposinf_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1221907Z   test_reference_numerics_small_isposinf_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1222069Z   test_reference_numerics_small_isreal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1222255Z   test_reference_numerics_small_isreal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1222419Z   test_reference_numerics_small_isreal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1222580Z   test_reference_numerics_small_isreal_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1222737Z   test_reference_numerics_small_isreal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1222895Z   test_reference_numerics_small_isreal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1223083Z   test_reference_numerics_small_isreal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1223270Z   test_reference_numerics_small_isreal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1223414Z   test_reference_numerics_small_isreal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1223572Z   test_reference_numerics_small_isreal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1223727Z   test_reference_numerics_small_isreal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1223881Z   test_reference_numerics_small_isreal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1224036Z   test_reference_numerics_small_isreal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1224233Z   test_reference_numerics_small_jiterator_unary_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1224426Z   test_reference_numerics_small_jiterator_unary_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1224622Z   test_reference_numerics_small_jiterator_unary_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1224816Z   test_reference_numerics_small_jiterator_unary_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1224992Z   test_reference_numerics_small_jiterator_unary_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1225184Z   test_reference_numerics_small_jiterator_unary_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1225373Z   test_reference_numerics_small_jiterator_unary_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1225562Z   test_reference_numerics_small_jiterator_unary_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1225750Z   test_reference_numerics_small_jiterator_unary_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1225933Z   test_reference_numerics_small_jiterator_unary_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1226117Z   test_reference_numerics_small_jiterator_unary_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1226300Z   test_reference_numerics_small_jiterator_unary_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:23:12.1226478Z   test_reference_numerics_small_lgamma_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1226663Z   test_reference_numerics_small_lgamma_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1226815Z   test_reference_numerics_small_lgamma_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1226979Z   test_reference_numerics_small_lgamma_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1227136Z   test_reference_numerics_small_lgamma_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1227294Z   test_reference_numerics_small_lgamma_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1227451Z   test_reference_numerics_small_lgamma_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1227607Z   test_reference_numerics_small_lgamma_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1227762Z   test_reference_numerics_small_lgamma_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1227920Z   test_reference_numerics_small_log10_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1228135Z   test_reference_numerics_small_log10_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1228312Z   test_reference_numerics_small_log10_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1228475Z   test_reference_numerics_small_log10_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1228632Z   test_reference_numerics_small_log10_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1228790Z   test_reference_numerics_small_log10_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1228943Z   test_reference_numerics_small_log10_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1229097Z   test_reference_numerics_small_log10_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1229246Z   test_reference_numerics_small_log10_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1229402Z   test_reference_numerics_small_log10_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1229540Z   test_reference_numerics_small_log10_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1229701Z   test_reference_numerics_small_log1p_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1229889Z   test_reference_numerics_small_log1p_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1230053Z   test_reference_numerics_small_log1p_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1230215Z   test_reference_numerics_small_log1p_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1230375Z   test_reference_numerics_small_log1p_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1230533Z   test_reference_numerics_small_log1p_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1230690Z   test_reference_numerics_small_log1p_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1230844Z   test_reference_numerics_small_log1p_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1230984Z   test_reference_numerics_small_log1p_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1231139Z   test_reference_numerics_small_log1p_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1231289Z   test_reference_numerics_small_log1p_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1231445Z   test_reference_numerics_small_log2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1231629Z   test_reference_numerics_small_log2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1231791Z   test_reference_numerics_small_log2_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1231952Z   test_reference_numerics_small_log2_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1232108Z   test_reference_numerics_small_log2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1232267Z   test_reference_numerics_small_log2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1232408Z   test_reference_numerics_small_log2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1232561Z   test_reference_numerics_small_log2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1232711Z   test_reference_numerics_small_log2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1232865Z   test_reference_numerics_small_log2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1233014Z   test_reference_numerics_small_log2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1233170Z   test_reference_numerics_small_log_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1233491Z   test_reference_numerics_small_log_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1233715Z   test_reference_numerics_small_log_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1233877Z   test_reference_numerics_small_log_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1234018Z   test_reference_numerics_small_log_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1234174Z   test_reference_numerics_small_log_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1234333Z   test_reference_numerics_small_log_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1234488Z   test_reference_numerics_small_log_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1234638Z   test_reference_numerics_small_log_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1234795Z   test_reference_numerics_small_log_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1234949Z   test_reference_numerics_small_log_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1235120Z   test_reference_numerics_small_logical_not_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1235299Z   test_reference_numerics_small_logical_not_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1235475Z   test_reference_numerics_small_logical_not_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.015s)
2023-01-11T21:23:12.1235646Z   test_reference_numerics_small_logical_not_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1235816Z   test_reference_numerics_small_logical_not_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1235981Z   test_reference_numerics_small_logical_not_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1236140Z   test_reference_numerics_small_logical_not_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1236305Z   test_reference_numerics_small_logical_not_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1236465Z   test_reference_numerics_small_logical_not_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1236622Z   test_reference_numerics_small_logical_not_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1236772Z   test_reference_numerics_small_logical_not_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1236936Z   test_reference_numerics_small_logical_not_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1237095Z   test_reference_numerics_small_logit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1237282Z   test_reference_numerics_small_logit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1237439Z   test_reference_numerics_small_logit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1237600Z   test_reference_numerics_small_logit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1237755Z   test_reference_numerics_small_logit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1237909Z   test_reference_numerics_small_logit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1238059Z   test_reference_numerics_small_logit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1238202Z   test_reference_numerics_small_logit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1238354Z   test_reference_numerics_small_logit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1238563Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1238742Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1238945Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1239122Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1239296Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1239463Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1239651Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1239812Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1239995Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1240173Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1240347Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1240518Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1240688Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1240856Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1241041Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1241216Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1241393Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1241557Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1241734Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1241906Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1242074Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1242239Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1242429Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1242603Z   test_reference_numerics_small_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1242768Z   test_reference_numerics_small_nan_to_num_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1242956Z   test_reference_numerics_small_nan_to_num_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1243109Z   test_reference_numerics_small_nan_to_num_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1243268Z   test_reference_numerics_small_nan_to_num_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1243532Z   test_reference_numerics_small_nan_to_num_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1243697Z   test_reference_numerics_small_nan_to_num_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1243903Z   test_reference_numerics_small_nan_to_num_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1244091Z   test_reference_numerics_small_nan_to_num_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1244257Z   test_reference_numerics_small_nan_to_num_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1244419Z   test_reference_numerics_small_nan_to_num_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1244578Z   test_reference_numerics_small_neg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1244727Z   test_reference_numerics_small_neg_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1244887Z   test_reference_numerics_small_neg_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1245047Z   test_reference_numerics_small_neg_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1245208Z   test_reference_numerics_small_neg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1245366Z   test_reference_numerics_small_neg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1245521Z   test_reference_numerics_small_neg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1245675Z   test_reference_numerics_small_neg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1245829Z   test_reference_numerics_small_neg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1245967Z   test_reference_numerics_small_neg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1246122Z   test_reference_numerics_small_neg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1246271Z   test_reference_numerics_small_neg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1246453Z   test_reference_numerics_small_nn_functional_celu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1246631Z   test_reference_numerics_small_nn_functional_celu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1246809Z   test_reference_numerics_small_nn_functional_celu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1246981Z   test_reference_numerics_small_nn_functional_elu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1247154Z   test_reference_numerics_small_nn_functional_elu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1247328Z   test_reference_numerics_small_nn_functional_elu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1247501Z   test_reference_numerics_small_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1247683Z   test_reference_numerics_small_nn_functional_hardsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1247861Z   test_reference_numerics_small_nn_functional_hardsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1248037Z   test_reference_numerics_small_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1248217Z   test_reference_numerics_small_nn_functional_logsigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1248392Z   test_reference_numerics_small_nn_functional_logsigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1248566Z   test_reference_numerics_small_nn_functional_mish_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1248737Z   test_reference_numerics_small_nn_functional_mish_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1248907Z   test_reference_numerics_small_nn_functional_mish_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1249115Z   test_reference_numerics_small_nn_functional_prelu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1249304Z   test_reference_numerics_small_nn_functional_prelu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1249482Z   test_reference_numerics_small_nn_functional_prelu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1249651Z   test_reference_numerics_small_nn_functional_relu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1249822Z   test_reference_numerics_small_nn_functional_relu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1249993Z   test_reference_numerics_small_nn_functional_relu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1250165Z   test_reference_numerics_small_nn_functional_relu_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1250340Z   test_reference_numerics_small_nn_functional_relu_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1250508Z   test_reference_numerics_small_nn_functional_relu_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1250679Z   test_reference_numerics_small_nn_functional_relu_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1250837Z   test_reference_numerics_small_nn_functional_relu_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1251010Z   test_reference_numerics_small_nn_functional_selu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1251180Z   test_reference_numerics_small_nn_functional_selu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1251352Z   test_reference_numerics_small_nn_functional_selu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1251538Z   test_reference_numerics_small_nn_functional_silu_complex_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1251739Z   test_reference_numerics_small_nn_functional_silu_complex_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1251915Z   test_reference_numerics_small_nn_functional_silu_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1252087Z   test_reference_numerics_small_nn_functional_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1252259Z   test_reference_numerics_small_nn_functional_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1252426Z   test_reference_numerics_small_nn_functional_softplus_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1252607Z   test_reference_numerics_small_nn_functional_softplus_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1252783Z   test_reference_numerics_small_nn_functional_softplus_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1252964Z   test_reference_numerics_small_nn_functional_softsign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1253148Z   test_reference_numerics_small_nn_functional_softsign_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1253330Z   test_reference_numerics_small_nn_functional_softsign_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1253509Z   test_reference_numerics_small_nn_functional_softsign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1253685Z   test_reference_numerics_small_nn_functional_softsign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1253860Z   test_reference_numerics_small_nn_functional_softsign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1254024Z   test_reference_numerics_small_nn_functional_softsign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1254241Z   test_reference_numerics_small_nn_functional_softsign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1254448Z   test_reference_numerics_small_nn_functional_softsign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1254638Z   test_reference_numerics_small_nn_functional_softsign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1254811Z   test_reference_numerics_small_nn_functional_softsign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1254992Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1255175Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1255356Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1255535Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1255711Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1255875Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1256052Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1256225Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1256402Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1256576Z   test_reference_numerics_small_nn_functional_tanhshrink_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1256758Z   test_reference_numerics_small_nn_functional_threshold_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1256937Z   test_reference_numerics_small_nn_functional_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1257115Z   test_reference_numerics_small_nn_functional_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1257291Z   test_reference_numerics_small_nn_functional_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1257454Z   test_reference_numerics_small_nn_functional_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1257630Z   test_reference_numerics_small_nn_functional_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1257804Z   test_reference_numerics_small_nn_functional_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1257979Z   test_reference_numerics_small_nn_functional_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1258162Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1258364Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1258543Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1258720Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1258896Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1259072Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1259264Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1259439Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1259639Z   test_reference_numerics_small_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1259823Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1260025Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1260201Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1260379Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1260555Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1260728Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1260892Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1261069Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1261241Z   test_reference_numerics_small_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1261422Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1261623Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1261802Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1261977Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1262153Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1262326Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1262501Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1262663Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1262836Z   test_reference_numerics_small_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1263016Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1263220Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1263397Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1263574Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1263747Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1263921Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1264094Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1264257Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1264456Z   test_reference_numerics_small_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1264663Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1264868Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1265046Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1265222Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1265398Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1265570Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1265746Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1265924Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1266086Z   test_reference_numerics_small_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1266250Z   test_reference_numerics_small_positive_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1266417Z   test_reference_numerics_small_positive_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1266584Z   test_reference_numerics_small_positive_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1266746Z   test_reference_numerics_small_positive_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1266910Z   test_reference_numerics_small_positive_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1267068Z   test_reference_numerics_small_positive_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1267232Z   test_reference_numerics_small_positive_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1267392Z   test_reference_numerics_small_positive_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1267541Z   test_reference_numerics_small_positive_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1267702Z   test_reference_numerics_small_positive_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1267860Z   test_reference_numerics_small_positive_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1268018Z   test_reference_numerics_small_positive_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1268200Z   test_reference_numerics_small_rad2deg_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1268393Z   test_reference_numerics_small_rad2deg_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1268556Z   test_reference_numerics_small_rad2deg_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1268719Z   test_reference_numerics_small_rad2deg_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1268868Z   test_reference_numerics_small_rad2deg_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1269027Z   test_reference_numerics_small_rad2deg_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1269186Z   test_reference_numerics_small_rad2deg_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1269343Z   test_reference_numerics_small_rad2deg_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1269533Z   test_reference_numerics_small_rad2deg_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1269690Z   test_reference_numerics_small_rad2deg_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1269882Z   test_reference_numerics_small_real_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1270071Z   test_reference_numerics_small_real_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1270232Z   test_reference_numerics_small_real_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1270380Z   test_reference_numerics_small_real_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1270540Z   test_reference_numerics_small_real_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.016s)
2023-01-11T21:23:12.1270697Z   test_reference_numerics_small_real_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1270856Z   test_reference_numerics_small_real_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271015Z   test_reference_numerics_small_real_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271172Z   test_reference_numerics_small_real_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271327Z   test_reference_numerics_small_real_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271477Z   test_reference_numerics_small_real_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271632Z   test_reference_numerics_small_real_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271769Z   test_reference_numerics_small_real_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1271954Z   test_reference_numerics_small_reciprocal_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1272151Z   test_reference_numerics_small_reciprocal_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1272324Z   test_reference_numerics_small_reciprocal_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1272495Z   test_reference_numerics_small_reciprocal_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1272662Z   test_reference_numerics_small_reciprocal_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1272826Z   test_reference_numerics_small_reciprocal_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1272986Z   test_reference_numerics_small_reciprocal_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1273149Z   test_reference_numerics_small_reciprocal_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1273369Z   test_reference_numerics_small_reciprocal_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1273534Z   test_reference_numerics_small_reciprocal_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1273700Z   test_reference_numerics_small_reciprocal_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1273866Z   test_reference_numerics_small_reciprocal_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274028Z   test_reference_numerics_small_round_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274192Z   test_reference_numerics_small_round_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274352Z   test_reference_numerics_small_round_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274509Z   test_reference_numerics_small_round_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274651Z   test_reference_numerics_small_round_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274838Z   test_reference_numerics_small_round_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1274994Z   test_reference_numerics_small_round_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1275177Z   test_reference_numerics_small_round_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1275352Z   test_reference_numerics_small_round_decimals_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1275525Z   test_reference_numerics_small_round_decimals_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1275694Z   test_reference_numerics_small_round_decimals_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1275870Z   test_reference_numerics_small_round_decimals_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1276034Z   test_reference_numerics_small_round_decimals_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1276194Z   test_reference_numerics_small_round_decimals_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1276374Z   test_reference_numerics_small_round_decimals_neg_3_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1276548Z   test_reference_numerics_small_round_decimals_neg_3_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1276722Z   test_reference_numerics_small_round_decimals_neg_3_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1276881Z   test_reference_numerics_small_rsqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1277069Z   test_reference_numerics_small_rsqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1277231Z   test_reference_numerics_small_rsqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1277392Z   test_reference_numerics_small_rsqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1277550Z   test_reference_numerics_small_rsqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1277699Z   test_reference_numerics_small_rsqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1277857Z   test_reference_numerics_small_rsqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1278013Z   test_reference_numerics_small_rsqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1278167Z   test_reference_numerics_small_rsqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1278324Z   test_reference_numerics_small_rsqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1278477Z   test_reference_numerics_small_rsqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1278635Z   test_reference_numerics_small_sgn_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1278822Z   test_reference_numerics_small_sgn_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1278987Z   test_reference_numerics_small_sgn_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1279133Z   test_reference_numerics_small_sgn_cpu_complex32 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1279295Z   test_reference_numerics_small_sgn_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.018s)
2023-01-11T21:23:12.1279449Z   test_reference_numerics_small_sgn_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1279603Z   test_reference_numerics_small_sgn_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1279752Z   test_reference_numerics_small_sgn_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1279905Z   test_reference_numerics_small_sgn_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1280086Z   test_reference_numerics_small_sgn_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1280262Z   test_reference_numerics_small_sgn_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1280415Z   test_reference_numerics_small_sgn_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1280552Z   test_reference_numerics_small_sgn_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1280715Z   test_reference_numerics_small_sigmoid_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1280903Z   test_reference_numerics_small_sigmoid_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1281071Z   test_reference_numerics_small_sigmoid_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1281236Z   test_reference_numerics_small_sigmoid_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1281399Z   test_reference_numerics_small_sigmoid_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1281563Z   test_reference_numerics_small_sigmoid_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1281722Z   test_reference_numerics_small_sigmoid_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1281879Z   test_reference_numerics_small_sigmoid_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1282023Z   test_reference_numerics_small_sigmoid_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1282183Z   test_reference_numerics_small_sigmoid_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1282337Z   test_reference_numerics_small_sigmoid_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1282490Z   test_reference_numerics_small_sign_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1282677Z   test_reference_numerics_small_sign_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1282836Z   test_reference_numerics_small_sign_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1282991Z   test_reference_numerics_small_sign_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1283146Z   test_reference_numerics_small_sign_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1283287Z   test_reference_numerics_small_sign_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1283543Z   test_reference_numerics_small_sign_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1283696Z   test_reference_numerics_small_sign_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1283850Z   test_reference_numerics_small_sign_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1284003Z   test_reference_numerics_small_sign_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1284169Z   test_reference_numerics_small_signbit_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1284361Z   test_reference_numerics_small_signbit_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1284524Z   test_reference_numerics_small_signbit_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1284690Z   test_reference_numerics_small_signbit_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1284837Z   test_reference_numerics_small_signbit_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1284997Z   test_reference_numerics_small_signbit_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1285153Z   test_reference_numerics_small_signbit_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1285359Z   test_reference_numerics_small_signbit_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1285515Z   test_reference_numerics_small_signbit_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1285701Z   test_reference_numerics_small_signbit_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1285861Z   test_reference_numerics_small_sin_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1286045Z   test_reference_numerics_small_sin_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1286208Z   test_reference_numerics_small_sin_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1286355Z   test_reference_numerics_small_sin_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1286512Z   test_reference_numerics_small_sin_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1286668Z   test_reference_numerics_small_sin_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1286823Z   test_reference_numerics_small_sin_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1286978Z   test_reference_numerics_small_sin_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1287129Z   test_reference_numerics_small_sin_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1287283Z   test_reference_numerics_small_sin_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1287432Z   test_reference_numerics_small_sin_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1287577Z   test_reference_numerics_small_sinc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1287767Z   test_reference_numerics_small_sinc_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1287932Z   test_reference_numerics_small_sinc_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.023s)
2023-01-11T21:23:12.1288109Z   test_reference_numerics_small_sinc_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1288269Z   test_reference_numerics_small_sinc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1288425Z   test_reference_numerics_small_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1288580Z   test_reference_numerics_small_sinc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1288734Z   test_reference_numerics_small_sinc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1288886Z   test_reference_numerics_small_sinc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1289026Z   test_reference_numerics_small_sinc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1289181Z   test_reference_numerics_small_sinc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1289339Z   test_reference_numerics_small_sinh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1289524Z   test_reference_numerics_small_sinh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1289686Z   test_reference_numerics_small_sinh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1289846Z   test_reference_numerics_small_sinh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.022s)
2023-01-11T21:23:12.1290003Z   test_reference_numerics_small_sinh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1290159Z   test_reference_numerics_small_sinh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1290311Z   test_reference_numerics_small_sinh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1290448Z   test_reference_numerics_small_sinh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1290635Z   test_reference_numerics_small_sinh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1290818Z   test_reference_numerics_small_sinh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1290970Z   test_reference_numerics_small_sinh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1291168Z   test_reference_numerics_small_special_airy_ai_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1291339Z   test_reference_numerics_small_special_airy_ai_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1291511Z   test_reference_numerics_small_special_airy_ai_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1291680Z   test_reference_numerics_small_special_airy_ai_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1291852Z   test_reference_numerics_small_special_airy_ai_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1292007Z   test_reference_numerics_small_special_airy_ai_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1292177Z   test_reference_numerics_small_special_airy_ai_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1292343Z   test_reference_numerics_small_special_airy_ai_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1292542Z   test_reference_numerics_small_special_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1292715Z   test_reference_numerics_small_special_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1292886Z   test_reference_numerics_small_special_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1293054Z   test_reference_numerics_small_special_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1293224Z   test_reference_numerics_small_special_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1293393Z   test_reference_numerics_small_special_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1293549Z   test_reference_numerics_small_special_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1293717Z   test_reference_numerics_small_special_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1293914Z   test_reference_numerics_small_special_bessel_j1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1294083Z   test_reference_numerics_small_special_bessel_j1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1294253Z   test_reference_numerics_small_special_bessel_j1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1294422Z   test_reference_numerics_small_special_bessel_j1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1294591Z   test_reference_numerics_small_special_bessel_j1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1294758Z   test_reference_numerics_small_special_bessel_j1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1294925Z   test_reference_numerics_small_special_bessel_j1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1295078Z   test_reference_numerics_small_special_bessel_j1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1295275Z   test_reference_numerics_small_special_bessel_y0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1295444Z   test_reference_numerics_small_special_bessel_y0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1295646Z   test_reference_numerics_small_special_bessel_y0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1295812Z   test_reference_numerics_small_special_bessel_y0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1296042Z   test_reference_numerics_small_special_bessel_y0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1296214Z   test_reference_numerics_small_special_bessel_y0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1296383Z   test_reference_numerics_small_special_bessel_y0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1296548Z   test_reference_numerics_small_special_bessel_y0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1296733Z   test_reference_numerics_small_special_bessel_y1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1296903Z   test_reference_numerics_small_special_bessel_y1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1297075Z   test_reference_numerics_small_special_bessel_y1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1297243Z   test_reference_numerics_small_special_bessel_y1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1297412Z   test_reference_numerics_small_special_bessel_y1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1297579Z   test_reference_numerics_small_special_bessel_y1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1297749Z   test_reference_numerics_small_special_bessel_y1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1297916Z   test_reference_numerics_small_special_bessel_y1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1298087Z   test_reference_numerics_small_special_entr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1298284Z   test_reference_numerics_small_special_entr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1298441Z   test_reference_numerics_small_special_entr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1298612Z   test_reference_numerics_small_special_entr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1298780Z   test_reference_numerics_small_special_entr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1298943Z   test_reference_numerics_small_special_entr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1299105Z   test_reference_numerics_small_special_entr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1299269Z   test_reference_numerics_small_special_entr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1299430Z   test_reference_numerics_small_special_entr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1299629Z   test_reference_numerics_small_special_erfcx_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1299799Z   test_reference_numerics_small_special_erfcx_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1299955Z   test_reference_numerics_small_special_erfcx_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1300121Z   test_reference_numerics_small_special_erfcx_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1300283Z   test_reference_numerics_small_special_erfcx_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1300441Z   test_reference_numerics_small_special_erfcx_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1300606Z   test_reference_numerics_small_special_erfcx_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1300765Z   test_reference_numerics_small_special_erfcx_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1300971Z   test_reference_numerics_small_special_i0e_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1301189Z   test_reference_numerics_small_special_i0e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1301349Z   test_reference_numerics_small_special_i0e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1301493Z   test_reference_numerics_small_special_i0e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1301657Z   test_reference_numerics_small_special_i0e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1301814Z   test_reference_numerics_small_special_i0e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1301971Z   test_reference_numerics_small_special_i0e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1302133Z   test_reference_numerics_small_special_i0e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1302288Z   test_reference_numerics_small_special_i0e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1302480Z   test_reference_numerics_small_special_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1302644Z   test_reference_numerics_small_special_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1302803Z   test_reference_numerics_small_special_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1302952Z   test_reference_numerics_small_special_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1303110Z   test_reference_numerics_small_special_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1303262Z   test_reference_numerics_small_special_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1303423Z   test_reference_numerics_small_special_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1303585Z   test_reference_numerics_small_special_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1303776Z   test_reference_numerics_small_special_i1e_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1303939Z   test_reference_numerics_small_special_i1e_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1304098Z   test_reference_numerics_small_special_i1e_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1304257Z   test_reference_numerics_small_special_i1e_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1304400Z   test_reference_numerics_small_special_i1e_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1304554Z   test_reference_numerics_small_special_i1e_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1304715Z   test_reference_numerics_small_special_i1e_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1304872Z   test_reference_numerics_small_special_i1e_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1305069Z   test_reference_numerics_small_special_log_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1305242Z   test_reference_numerics_small_special_log_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1305414Z   test_reference_numerics_small_special_log_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1305586Z   test_reference_numerics_small_special_log_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1305756Z   test_reference_numerics_small_special_log_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1305941Z   test_reference_numerics_small_special_log_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1306112Z   test_reference_numerics_small_special_log_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1306315Z   test_reference_numerics_small_special_log_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1306523Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1306706Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1306883Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1307062Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1307239Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1307409Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1307575Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1307754Z   test_reference_numerics_small_special_modified_bessel_i0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1307960Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1308145Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1308322Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1308503Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1308680Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1308851Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1309028Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1309202Z   test_reference_numerics_small_special_modified_bessel_i1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1309395Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1309580Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1309760Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1309940Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1310116Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1310289Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1310468Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1310645Z   test_reference_numerics_small_special_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1310852Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1311054Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1311255Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1311433Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1311605Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1311776Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1311952Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1312127Z   test_reference_numerics_small_special_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1312298Z   test_reference_numerics_small_special_ndtr_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1312492Z   test_reference_numerics_small_special_ndtr_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1312659Z   test_reference_numerics_small_special_ndtr_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1312815Z   test_reference_numerics_small_special_ndtr_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1312980Z   test_reference_numerics_small_special_ndtr_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1313142Z   test_reference_numerics_small_special_ndtr_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1313380Z   test_reference_numerics_small_special_ndtr_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1313550Z   test_reference_numerics_small_special_ndtr_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1313712Z   test_reference_numerics_small_special_ndtr_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1313910Z   test_reference_numerics_small_special_ndtri_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1314083Z   test_reference_numerics_small_special_ndtri_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1314252Z   test_reference_numerics_small_special_ndtri_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1314408Z   test_reference_numerics_small_special_ndtri_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1314573Z   test_reference_numerics_small_special_ndtri_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1314733Z   test_reference_numerics_small_special_ndtri_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1314903Z   test_reference_numerics_small_special_ndtri_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1315064Z   test_reference_numerics_small_special_ndtri_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1315268Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1315490Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1315691Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1315892Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1316074Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1316303Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1316553Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1316751Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1316942Z   test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1317157Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1317346Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1317537Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1317724Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1317910Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1318083Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1318269Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1318450Z   test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1318663Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1318852Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1319041Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1319225Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1319408Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1319593Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1319776Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1319944Z   test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1320156Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1320342Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1320518Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1320697Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1320872Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1321043Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1321220Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1321424Z   test_reference_numerics_small_special_spherical_bessel_j0_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1321611Z   test_reference_numerics_small_sqrt_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1321783Z   test_reference_numerics_small_sqrt_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1321947Z   test_reference_numerics_small_sqrt_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1322108Z   test_reference_numerics_small_sqrt_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.019s)
2023-01-11T21:23:12.1322266Z   test_reference_numerics_small_sqrt_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1322422Z   test_reference_numerics_small_sqrt_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1322579Z   test_reference_numerics_small_sqrt_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1322734Z   test_reference_numerics_small_sqrt_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1322887Z   test_reference_numerics_small_sqrt_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1323030Z   test_reference_numerics_small_sqrt_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1323180Z   test_reference_numerics_small_sqrt_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1323342Z   test_reference_numerics_small_square_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1323633Z   test_reference_numerics_small_square_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1323800Z   test_reference_numerics_small_square_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1323967Z   test_reference_numerics_small_square_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.017s)
2023-01-11T21:23:12.1324130Z   test_reference_numerics_small_square_cpu_float16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1324293Z   test_reference_numerics_small_square_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1324456Z   test_reference_numerics_small_square_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1324601Z   test_reference_numerics_small_square_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1324760Z   test_reference_numerics_small_square_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1324919Z   test_reference_numerics_small_square_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1325077Z   test_reference_numerics_small_square_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1325233Z   test_reference_numerics_small_square_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1325413Z   test_reference_numerics_small_tan_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:23:12.1325599Z   test_reference_numerics_small_tan_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1325762Z   test_reference_numerics_small_tan_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.021s)
2023-01-11T21:23:12.1325923Z   test_reference_numerics_small_tan_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1326067Z   test_reference_numerics_small_tan_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1326222Z   test_reference_numerics_small_tan_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.010s)
2023-01-11T21:23:12.1326377Z   test_reference_numerics_small_tan_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1326532Z   test_reference_numerics_small_tan_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1326728Z   test_reference_numerics_small_tan_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1326918Z   test_reference_numerics_small_tan_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1327072Z   test_reference_numerics_small_tan_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1327232Z   test_reference_numerics_small_tanh_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1327418Z   test_reference_numerics_small_tanh_cpu_bool (__main__.TestUnaryUfuncsCPU) ... skip: bool has no small values (0.001s)
2023-01-11T21:23:12.1327568Z   test_reference_numerics_small_tanh_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1327731Z   test_reference_numerics_small_tanh_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.020s)
2023-01-11T21:23:12.1327888Z   test_reference_numerics_small_tanh_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328049Z   test_reference_numerics_small_tanh_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328208Z   test_reference_numerics_small_tanh_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328364Z   test_reference_numerics_small_tanh_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328518Z   test_reference_numerics_small_tanh_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328672Z   test_reference_numerics_small_tanh_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328810Z   test_reference_numerics_small_tanh_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1328972Z   test_reference_numerics_small_trunc_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1329130Z   test_reference_numerics_small_trunc_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1329292Z   test_reference_numerics_small_trunc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1329449Z   test_reference_numerics_small_trunc_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1329604Z   test_reference_numerics_small_trunc_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1329756Z   test_reference_numerics_small_trunc_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1329914Z   test_reference_numerics_small_trunc_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1330064Z   test_reference_numerics_small_trunc_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1330182Z   test_silu_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.1330309Z   test_silu_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.1330433Z   test_sinc_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.003s)
2023-01-11T21:23:12.1330583Z   test_special_i0_i1_vs_scipy_cpu_bfloat16 (__main__.TestUnaryUfuncsCPU) ... ok (0.006s)
2023-01-11T21:23:12.1330731Z   test_special_i0_i1_vs_scipy_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.008s)
2023-01-11T21:23:12.1330880Z   test_special_i0_i1_vs_scipy_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.009s)
2023-01-11T21:23:12.1331036Z   test_special_log_ndtr_vs_scipy_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1331187Z   test_special_log_ndtr_vs_scipy_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1331351Z   test_special_ndtr_vs_scipy_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.1331500Z   test_special_ndtr_vs_scipy_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.002s)
2023-01-11T21:23:12.1331640Z   test_threshold_cpu_complex128 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1331779Z   test_threshold_cpu_complex64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1331945Z   test_threshold_cpu_float32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332081Z   test_threshold_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332241Z   test_threshold_cpu_int16 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332376Z   test_threshold_cpu_int32 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332496Z   test_threshold_cpu_int64 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332629Z   test_threshold_cpu_int8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332759Z   test_threshold_cpu_uint8 (__main__.TestUnaryUfuncsCPU) ... ok (0.001s)
2023-01-11T21:23:12.1332910Z   test_unary_out_op_mem_overlap_cpu_float64 (__main__.TestUnaryUfuncsCPU) ... ok (0.328s)
2023-01-11T21:23:12.1332922Z 
2023-01-11T21:23:12.1333224Z ----------------------------------------------------------------------
2023-01-11T21:23:12.1333309Z Ran 12640 tests in 143.271s
2023-01-11T21:23:12.1333314Z 
2023-01-11T21:23:12.1333411Z OK (skipped=640, expected failures=14)
2023-01-11T21:23:12.1333416Z 
2023-01-11T21:23:12.1333502Z Generating XML reports...
2023-01-11T21:23:12.1333824Z Generated XML report: test-reports/python-unittest/test_unary_ufuncs/TEST-TestUnaryUfuncsCPU-20230111212046.xml
2023-01-11T21:23:12.1333830Z 
2023-01-11T21:23:12.1334233Z ##[endgroup]
2023-01-11T21:23:12.1334524Z FINISHED PRINTING LOG FILE of test_unary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_unary_ufuncs_1cwop_wh)
2023-01-11T21:23:12.1334530Z 
2023-01-11T21:23:13.7121033Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:23:13.8472996Z Ignoring disabled issues:  []
2023-01-11T21:23:13.8630598Z Running test_dataloader ... [2023-01-11 21:23:13.862777]
2023-01-11T21:23:13.8632863Z Executing ['/opt/conda/bin/python', '-bb', 'test_dataloader.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:23:13.863023]
2023-01-11T21:25:19.2731595Z 
2023-01-11T21:25:19.2732250Z Expand the folded group to see the log file of test_dataloader
2023-01-11T21:25:19.2733525Z ##[group]PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_zo7wz1l2)
2023-01-11T21:25:19.2765839Z Test results will be stored in test-reports/python-unittest/test_dataloader
2023-01-11T21:25:19.2766154Z 
2023-01-11T21:25:19.2766271Z Running tests...
2023-01-11T21:25:19.2771035Z ----------------------------------------------------------------------
2023-01-11T21:25:19.2771418Z   test_shuffler_iterdatapipe (__main__.IntegrationTestDataLoaderDataPipe)
2023-01-11T21:25:19.2772021Z Verify ``IterDataPipe.shuffle`` is controlled by ``DataLoader`` ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2772567Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2773005Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2773361Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2774070Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2774653Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2775071Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2775418Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2776187Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2776624Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2777047Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2777580Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2778075Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2778414Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2778824Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2779165Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2779598Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2780125Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2780687Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2781045Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2781581Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2782112Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2782752Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2783390Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2783908Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2784445Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2785068Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2785604Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2786357Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2786857Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2787645Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2788157Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2788573Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2788896Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2789314Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2789653Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2790070Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2790390Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2790811Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2791149Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2791563Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2791884Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2792312Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2792648Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2793073Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2793567Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2794040Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2794374Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2794799Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2795121Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2795542Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2795870Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2796295Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2796623Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2797033Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2797377Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2797802Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2798125Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2809914Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2810721Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2811762Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2812306Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2813157Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2813854Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2817773Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2818388Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2819987Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2820634Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2821456Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2822036Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2822485Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2822830Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2823259Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2823582Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2823993Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2824336Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2824831Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2825392Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2826274Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2826813Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2827581Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2828090Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2828799Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2829442Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2830009Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2830321Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2830744Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2831088Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2831505Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2831825Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2832251Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2832607Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2833850Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2834178Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2834604Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2835059Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2835477Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2835800Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2836218Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2836544Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2836970Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2837294Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2837717Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2838043Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2838465Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2838792Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2839201Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2839537Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2839955Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2840276Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2840685Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2841019Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2841517Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2841838Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2842279Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2842623Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2843050Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2843456Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2843885Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2844224Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2844648Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2844954Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2845373Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2845713Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2846120Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2846440Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2846858Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2847192Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2847604Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2847924Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2848345Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2848685Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2849096Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2849418Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2849834Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2850159Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2850580Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2850907Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2851323Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2851648Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2852063Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2852381Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2852787Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2853120Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2853539Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2853933Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2854342Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2854725Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2855150Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2855470Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2855876Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2856216Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2856638Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2856944Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2857365Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2857701Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2858128Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2858437Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2858857Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2859197Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2859612Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2859932Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2860359Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2860694Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2861106Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2861423Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2861842Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2862181Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2862592Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2862913Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2863330Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2863659Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2864086Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2864410Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2864830Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2865155Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2865573Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2865893Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2866300Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2866680Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2866903Z ok (47.971s)
2023-01-11T21:25:19.2867124Z   test_add_dataset (__main__.TestConcatDataset) ... ok (0.003s)
2023-01-11T21:25:19.2867429Z   test_concat_raises_index_error (__main__.TestConcatDataset) ... ok (0.001s)
2023-01-11T21:25:19.2867732Z   test_concat_two_non_singletons (__main__.TestConcatDataset) ... ok (0.001s)
2023-01-11T21:25:19.2868049Z   test_concat_two_non_singletons_with_empty (__main__.TestConcatDataset) ... ok (0.001s)
2023-01-11T21:25:19.2868346Z   test_concat_two_singletons (__main__.TestConcatDataset) ... ok (0.001s)
2023-01-11T21:25:19.2868638Z   test_iterable_dataset_err (__main__.TestConcatDataset) ... ok (0.001s)
2023-01-11T21:25:19.2869477Z   test_conv_after_fork (__main__.TestConvAfterFork) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75492 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:25:19.2870132Z   test_custom_batch_pin (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:25:19.2870467Z   test_custom_batch_pin_worker (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:25:19.2870986Z   test_batch_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2871359Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2871782Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2872123Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2872538Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2872864Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2873387Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2873731Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2874144Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2874462Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2874877Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2875203Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2875623Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2875946Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2876364Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2876694Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2876918Z ok (2.129s)
2023-01-11T21:25:19.2877154Z   test_builtin_collection_conversion (__main__.TestDataLoader) ... ok (0.139s)
2023-01-11T21:25:19.2877433Z   test_bulk_loading_nobatch (__main__.TestDataLoader) ... ok (0.032s)
2023-01-11T21:25:19.2877720Z   test_chain_iterable_style_dataset (__main__.TestDataLoader) ... ok (0.079s)
2023-01-11T21:25:19.2878020Z   test_default_collate_bad_numpy_types (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2878313Z   test_default_collate_bad_sequence_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2878607Z   test_default_collate_dtype (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2878949Z   test_default_collate_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2880137Z   test_default_collate_numpy_memmap (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py:172: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:210.)
2023-01-11T21:25:19.2880909Z   return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map)
2023-01-11T21:25:19.2881142Z ok (0.003s)
2023-01-11T21:25:19.2881375Z   test_default_collate_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2881694Z   test_default_collate_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2882000Z   test_default_collate_shared_tensor (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2882307Z   test_default_convert_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2882608Z   test_default_convert_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2882922Z   test_default_convert_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2883233Z   test_distributed_sampler_invalid_rank (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2883704Z   test_duplicating_data_with_drop_last (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2883977Z   test_error (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2884229Z   test_error_in_init (__main__.TestDataLoader) ... ok (0.024s)
2023-01-11T21:25:19.2884476Z   test_error_workers (__main__.TestDataLoader) ... ok (0.107s)
2023-01-11T21:25:19.2884763Z   test_excessive_thread_creation_warning (__main__.TestDataLoader) ... ok (0.003s)
2023-01-11T21:25:19.2885053Z   test_fd_limit_exceeded (__main__.TestDataLoader) ... ok (1.407s)
2023-01-11T21:25:19.2885568Z   test_get_worker_info (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2885927Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2886351Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2886695Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2886917Z ok (3.011s)
2023-01-11T21:25:19.2887121Z   test_growing_dataset (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2887431Z   test_invalid_assign_after_init (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2887808Z   test_invalid_ctor_args_combinations (__main__.TestDataLoader) ... ok (0.004s)
2023-01-11T21:25:19.2888090Z   test_iterable_style_dataset (__main__.TestDataLoader) ... ok (0.433s)
2023-01-11T21:25:19.2888377Z   test_iterabledataset_len (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2888901Z   test_large_sampler_indices (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2889280Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2889691Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2890035Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2890257Z ok (2.885s)
2023-01-11T21:25:19.2890445Z   test_len (__main__.TestDataLoader) ... ok (0.009s)
2023-01-11T21:25:19.2890718Z   test_multi_epochs_reproducibility (__main__.TestDataLoader) ... ok (0.048s)
2023-01-11T21:25:19.2891351Z   test_multiple_dataloaders (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2891769Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2892189Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2892531Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2892962Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2893276Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2893698Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2894040Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2894469Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2894783Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2895200Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2895540Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2895951Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2896274Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2896698Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2897039Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2897251Z ok (2.885s)
2023-01-11T21:25:19.2897719Z   test_multiprocessing_contexts (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2898103Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2898510Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2898851Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2899274Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2899596Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2900005Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2900342Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2900767Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2901091Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2901498Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2901835Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2902257Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2902563Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2902985Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2903322Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2903784Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2904093Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2904548Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2904888Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2905298Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2905619Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2906040Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2906377Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2906784Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2907108Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2907531Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2907866Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2908275Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2908596Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2909026Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2909353Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2909776Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2910104Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2910527Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2910855Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2911278Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2911598Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2912009Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2912346Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2912771Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2913095Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2913604Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2913944Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2914369Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2914688Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2915093Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2915434Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2915658Z ok (5.692s)
2023-01-11T21:25:19.2916347Z   test_multiprocessing_iterdatapipe (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/graph_settings.py:89: UserWarning: `shuffle=True` was set, but the datapipe does not contain a `Shuffler`. Adding one at the end. Be aware that the default buffer size might not be sufficient for your task.
2023-01-11T21:25:19.2916993Z   "`shuffle=True` was set, but the datapipe does not contain a `Shuffler`. Adding one at the end. "
2023-01-11T21:25:19.2917449Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2917773Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2918184Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2918524Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2918946Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2919270Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2919680Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2920016Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2920440Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2920760Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2921166Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2921504Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2921928Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2922236Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2922658Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2922998Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2923559Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2923873Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2924298Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2924637Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2925047Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2925366Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2925782Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2926123Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2926538Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2926857Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2927282Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2927622Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2928032Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2928353Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2928777Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2929175Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2929396Z ok (5.509s)
2023-01-11T21:25:19.2929882Z   test_no_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2930252Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2930666Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2931005Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2931223Z ok (1.508s)
2023-01-11T21:25:19.2931418Z   test_numpy (__main__.TestDataLoader) ... ok (0.003s)
2023-01-11T21:25:19.2931675Z   test_numpy_gen_state (__main__.TestDataLoader) ... ok (0.004s)
2023-01-11T21:25:19.2931941Z   test_numpy_scalars (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2932183Z   test_partial_workers (__main__.TestDataLoader)
2023-01-11T21:25:19.2932457Z Check that workers exit even if the iterator is not exhausted. ... ok (0.037s)
2023-01-11T21:25:19.2932722Z   test_proper_exit (__main__.TestDataLoader)
2023-01-11T21:25:19.2933132Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2023-01-11T21:25:19.2933531Z   test_random_sampler (__main__.TestDataLoader) ... ok (0.003s)
2023-01-11T21:25:19.2933824Z   test_random_sampler_len_with_replacement (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2934143Z   test_random_sampler_len_without_replacement (__main__.TestDataLoader) ... ok (0.001s)
2023-01-11T21:25:19.2934661Z   test_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2935018Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2935445Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2935798Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2936211Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2936534Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2936958Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2937297Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2937712Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2938034Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2938460Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2938784Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2939208Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2939531Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2939952Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2940279Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2940500Z ok (2.112s)
2023-01-11T21:25:19.2940734Z   test_sampler_reproducibility (__main__.TestDataLoader) ... ok (0.018s)
2023-01-11T21:25:19.2941225Z   test_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2941628Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2942080Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2942421Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2942630Z ok (2.915s)
2023-01-11T21:25:19.2942859Z   test_seqential_batch_workers (__main__.TestDataLoader) ... ok (0.078s)
2023-01-11T21:25:19.2943158Z   test_seqential_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.073s)
2023-01-11T21:25:19.2943433Z   test_sequential_batch (__main__.TestDataLoader) ... ok (0.042s)
2023-01-11T21:25:19.2943706Z   test_sequential_nonbatch (__main__.TestDataLoader) ... ok (0.022s)
2023-01-11T21:25:19.2944010Z   test_sequential_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:25:19.2944311Z   test_sequential_workers (__main__.TestDataLoader) ... ok (0.124s)
2023-01-11T21:25:19.2944565Z   test_shuffle (__main__.TestDataLoader) ... ok (0.062s)
2023-01-11T21:25:19.2944819Z   test_shuffle_batch (__main__.TestDataLoader) ... ok (0.053s)
2023-01-11T21:25:19.2945088Z   test_shuffle_batch_none (__main__.TestDataLoader) ... ok (0.055s)
2023-01-11T21:25:19.2945351Z   test_shuffle_batch_workers (__main__.TestDataLoader) ... ok (0.118s)
2023-01-11T21:25:19.2945639Z   test_shuffle_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.115s)
2023-01-11T21:25:19.2945955Z   test_shuffle_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:25:19.2946260Z   test_shuffle_reproducibility (__main__.TestDataLoader) ... ok (0.215s)
2023-01-11T21:25:19.2946526Z   test_shuffle_workers (__main__.TestDataLoader) ... ok (0.155s)
2023-01-11T21:25:19.2947016Z   test_timeout (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2947383Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2947797Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2948137Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2948358Z ok (2.510s)
2023-01-11T21:25:19.2948564Z   test_typing (__main__.TestDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.2948808Z   test_worker_init_fn (__main__.TestDataLoader) ... ok (0.020s)
2023-01-11T21:25:19.2949065Z   test_worker_seed (__main__.TestDataLoader) ... ok (0.039s)
2023-01-11T21:25:19.2949341Z   test_worker_seed_reproducibility (__main__.TestDataLoader) ... ok (0.073s)
2023-01-11T21:25:19.2949889Z   test_batch_sampler (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2950293Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2950716Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2951058Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2951475Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2951798Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2952219Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2952546Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2952970Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2953362Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2953837Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2954164Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2954619Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2954945Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2955357Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2955692Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2955911Z ok (2.084s)
2023-01-11T21:25:19.2956190Z   test_builtin_collection_conversion (__main__.TestDataLoaderPersistentWorkers) ... ok (0.132s)
2023-01-11T21:25:19.2956544Z   test_bulk_loading_nobatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.029s)
2023-01-11T21:25:19.2956903Z   test_chain_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.068s)
2023-01-11T21:25:19.2957255Z   test_dataset_not_reset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.066s)
2023-01-11T21:25:19.2957607Z   test_default_collate_bad_numpy_types (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.2957985Z   test_default_collate_bad_sequence_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2958347Z   test_default_collate_dtype (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.2958712Z   test_default_collate_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2959073Z   test_default_collate_numpy_memmap (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.2959450Z   test_default_collate_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2959836Z   test_default_collate_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2960208Z   test_default_collate_shared_tensor (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.2960569Z   test_default_convert_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2960951Z   test_default_convert_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2961333Z   test_default_convert_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2961701Z   test_distributed_sampler_invalid_rank (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2962080Z   test_duplicating_data_with_drop_last (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.2962426Z   test_early_exit (__main__.TestDataLoaderPersistentWorkers) ... ok (1.301s)
2023-01-11T21:25:19.2962748Z   test_error (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2023-01-11T21:25:19.2963063Z   test_error_in_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.029s)
2023-01-11T21:25:19.2963510Z   test_error_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.021s)
2023-01-11T21:25:19.2963880Z   test_excessive_thread_creation_warning (__main__.TestDataLoaderPersistentWorkers) ... ok (0.008s)
2023-01-11T21:25:19.2964245Z   test_fd_limit_exceeded (__main__.TestDataLoaderPersistentWorkers) ... ok (1.364s)
2023-01-11T21:25:19.2964821Z   test_get_worker_info (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2965223Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2965649Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2965980Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2966271Z ok (2.996s)
2023-01-11T21:25:19.2966527Z   test_growing_dataset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2023-01-11T21:25:19.2966916Z   test_invalid_assign_after_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.2967272Z   test_invalid_ctor_args_combinations (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2023-01-11T21:25:19.2967741Z   test_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7fb623b465f0>
2023-01-11T21:25:19.2968115Z Traceback (most recent call last):
2023-01-11T21:25:19.2968486Z   File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1480, in __del__
2023-01-11T21:25:19.2968761Z     self._shutdown_workers()
2023-01-11T21:25:19.2969135Z   File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1463, in _shutdown_workers
2023-01-11T21:25:19.2969406Z     if w.is_alive():
2023-01-11T21:25:19.2969645Z   File "/opt/conda/lib/python3.7/multiprocessing/process.py", line 151, in is_alive
2023-01-11T21:25:19.2970010Z     assert self._parent_pid == os.getpid(), 'can only test a child process'
2023-01-11T21:25:19.2970282Z AssertionError: can only test a child process
2023-01-11T21:25:19.2970578Z Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7fb623b465f0>
2023-01-11T21:25:19.2970862Z Traceback (most recent call last):
2023-01-11T21:25:19.2971230Z   File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1480, in __del__
2023-01-11T21:25:19.2971490Z     self._shutdown_workers()
2023-01-11T21:25:19.2971862Z   File "/opt/conda/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1463, in _shutdown_workers
2023-01-11T21:25:19.2972129Z     if w.is_alive():
2023-01-11T21:25:19.2972379Z   File "/opt/conda/lib/python3.7/multiprocessing/process.py", line 151, in is_alive
2023-01-11T21:25:19.2972731Z     assert self._parent_pid == os.getpid(), 'can only test a child process'
2023-01-11T21:25:19.2972998Z AssertionError: can only test a child process
2023-01-11T21:25:19.2973199Z ok (5.433s)
2023-01-11T21:25:19.2973450Z   test_iterabledataset_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.004s)
2023-01-11T21:25:19.2974054Z   test_large_sampler_indices (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2974469Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2974898Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2975230Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2975454Z ok (2.882s)
2023-01-11T21:25:19.2975693Z   test_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.008s)
2023-01-11T21:25:19.2976027Z   test_multi_epochs_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.026s)
2023-01-11T21:25:19.2976639Z   test_multiple_dataloaders (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2977048Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2977473Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2977803Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2978231Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2978558Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2978980Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2979365Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2979827Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2980152Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2980564Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2980901Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2981322Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2981647Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2982057Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2982401Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2982623Z ok (2.796s)
2023-01-11T21:25:19.2983122Z   test_multiprocessing_contexts (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2983537Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2983960Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2984298Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2984712Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2985034Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2985459Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2985802Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2986216Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2986537Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2986955Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2987282Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2987704Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2988024Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2988448Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2988776Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2989201Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2989526Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2989930Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2990264Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2990687Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2991012Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2991419Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2991793Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2992252Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2992602Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2993014Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2993441Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2993873Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2994182Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2994604Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.2994941Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.2995366Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.2995674Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.2996099Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3010134Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3010720Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3011070Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3011489Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3011840Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3012290Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3012606Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3013038Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3013386Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3013818Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3014130Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3014555Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3014902Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3015116Z ok (5.783s)
2023-01-11T21:25:19.3015873Z   test_multiprocessing_iterdatapipe (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/graph_settings.py:89: UserWarning: `shuffle=True` was set, but the datapipe does not contain a `Shuffler`. Adding one at the end. Be aware that the default buffer size might not be sufficient for your task.
2023-01-11T21:25:19.3016474Z   "`shuffle=True` was set, but the datapipe does not contain a `Shuffler`. Adding one at the end. "
2023-01-11T21:25:19.3016936Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3017250Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3017678Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3018020Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3018448Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3018878Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3019353Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3019705Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3020139Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3020450Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3020874Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3021216Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3021632Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3021963Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3022393Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3022740Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3023156Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3023482Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3023906Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3024235Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3024661Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3024989Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3025416Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3025748Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3026172Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3026495Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3026922Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3027250Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3027677Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3028002Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3028415Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3028761Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3028988Z ok (5.554s)
2023-01-11T21:25:19.3029481Z   test_no_segfault (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3029871Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3030297Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3030637Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3030845Z ok (1.501s)
2023-01-11T21:25:19.3031091Z   test_numpy (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2023-01-11T21:25:19.3031471Z   test_numpy_gen_state (__main__.TestDataLoaderPersistentWorkers) ... ok (0.004s)
2023-01-11T21:25:19.3031808Z   test_numpy_scalars (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.3032168Z   test_partial_workers (__main__.TestDataLoaderPersistentWorkers)
2023-01-11T21:25:19.3032486Z Check that workers exit even if the iterator is not exhausted. ... ok (0.039s)
2023-01-11T21:25:19.3032797Z   test_proper_exit (__main__.TestDataLoaderPersistentWorkers)
2023-01-11T21:25:19.3033232Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2023-01-11T21:25:19.3033776Z   test_random_sampler (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2023-01-11T21:25:19.3034145Z   test_random_sampler_len_with_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.3034539Z   test_random_sampler_len_without_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2023-01-11T21:25:19.3035129Z   test_sampler (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3035532Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3035961Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3036308Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3036728Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3037056Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3037479Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3037812Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3038237Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3038567Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3038996Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3039326Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3039754Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3040082Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3040505Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3040829Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3041055Z ok (2.077s)
2023-01-11T21:25:19.3041327Z   test_sampler_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.017s)
2023-01-11T21:25:19.3041906Z   test_segfault (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3042308Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3042732Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3043074Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3043285Z ok (2.869s)
2023-01-11T21:25:19.3043709Z   test_seqential_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.080s)
2023-01-11T21:25:19.3044082Z   test_seqential_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.076s)
2023-01-11T21:25:19.3044498Z   test_sequential_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.060s)
2023-01-11T21:25:19.3044848Z   test_sequential_nonbatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.023s)
2023-01-11T21:25:19.3045269Z   test_sequential_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.000s)
2023-01-11T21:25:19.3045648Z   test_sequential_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.129s)
2023-01-11T21:25:19.3045972Z   test_shuffle (__main__.TestDataLoaderPersistentWorkers) ... ok (0.061s)
2023-01-11T21:25:19.3046303Z   test_shuffle_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.053s)
2023-01-11T21:25:19.3046644Z   test_shuffle_batch_none (__main__.TestDataLoaderPersistentWorkers) ... ok (0.055s)
2023-01-11T21:25:19.3046981Z   test_shuffle_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.117s)
2023-01-11T21:25:19.3047344Z   test_shuffle_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.119s)
2023-01-11T21:25:19.3047733Z   test_shuffle_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:25:19.3048112Z   test_shuffle_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.220s)
2023-01-11T21:25:19.3048448Z   test_shuffle_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.162s)
2023-01-11T21:25:19.3049021Z   test_timeout (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T21:25:19.3049424Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T21:25:19.3049855Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T21:25:19.3050185Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T21:25:19.3050412Z ok (2.522s)
2023-01-11T21:25:19.3050659Z   test_typing (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2023-01-11T21:25:19.3050974Z   test_worker_init_fn (__main__.TestDataLoaderPersistentWorkers) ... ok (0.021s)
2023-01-11T21:25:19.3051310Z   test_worker_seed (__main__.TestDataLoaderPersistentWorkers) ... ok (0.037s)
2023-01-11T21:25:19.3051662Z   test_worker_seed_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.070s)
2023-01-11T21:25:19.3052001Z   test_incomplete_fractional_splits (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2023-01-11T21:25:19.3052332Z   test_lengths_must_equal_dataset_size (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2023-01-11T21:25:19.3052664Z   test_slicing_of_subset_of_dataset (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2023-01-11T21:25:19.3052984Z   test_slicing_of_subset_of_subset (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2023-01-11T21:25:19.3053296Z   test_splits_are_mutually_exclusive (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2023-01-11T21:25:19.3053615Z   test_splits_generator (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2023-01-11T21:25:19.3053927Z   test_splits_have_correct_size (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2023-01-11T21:25:19.3054220Z   test_splits_indexing_type (__main__.TestDatasetRandomSplit)
2023-01-11T21:25:19.3054490Z Indices generated by random_split ... ok (0.002s)
2023-01-11T21:25:19.3054779Z   test_splits_reproducibility (__main__.TestDatasetRandomSplit) ... ok (0.008s)
2023-01-11T21:25:19.3055103Z   test_pin_memory (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s)
2023-01-11T21:25:19.3055417Z   test_pin_memory_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s)
2023-01-11T21:25:19.3055763Z   test_pin_memory_with_only_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s)
2023-01-11T21:25:19.3056080Z   test_sequential_batch (__main__.TestDictDataLoader) ... ok (0.016s)
2023-01-11T21:25:19.3056987Z   test_ind_worker_queue (__main__.TestIndividualWorkerQueue) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68643 for platform(s) macos, linux, win. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:25:19.3057628Z   test_dataloader_with_namedtuple (__main__.TestNamedTupleDataLoader) ... ok (0.002s)
2023-01-11T21:25:19.3057947Z   test_set_affinity_in_worker_init (__main__.TestSetAffinity) ... ok (0.019s)
2023-01-11T21:25:19.3058267Z   test_shuffle_pin_memory (__main__.TestStringDataLoader) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:25:19.3058569Z   test_getitem (__main__.TestTensorDataset) ... ok (0.005s)
2023-01-11T21:25:19.3058819Z   test_getitem_1d (__main__.TestTensorDataset) ... ok (0.004s)
2023-01-11T21:25:19.3059081Z   test_len (__main__.TestTensorDataset) ... ok (0.001s)
2023-01-11T21:25:19.3059347Z   test_many_tensors (__main__.TestTensorDataset) ... ok (0.004s)
2023-01-11T21:25:19.3059611Z   test_single_tensor (__main__.TestTensorDataset) ... ok (0.002s)
2023-01-11T21:25:19.3059770Z 
2023-01-11T21:25:19.3059972Z ----------------------------------------------------------------------
2023-01-11T21:25:19.3060218Z Ran 164 tests in 123.804s
2023-01-11T21:25:19.3060334Z 
2023-01-11T21:25:19.3060393Z OK (skipped=14)
2023-01-11T21:25:19.3060500Z 
2023-01-11T21:25:19.3060586Z Generating XML reports...
2023-01-11T21:25:19.3061058Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-IntegrationTestDataLoaderDataPipe-20230111212315.xml
2023-01-11T21:25:19.3061632Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConcatDataset-20230111212315.xml
2023-01-11T21:25:19.3062126Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoader-20230111212315.xml
2023-01-11T21:25:19.3062687Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoaderPersistentWorkers-20230111212315.xml
2023-01-11T21:25:19.3063257Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDatasetRandomSplit-20230111212315.xml
2023-01-11T21:25:19.3063789Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDictDataLoader-20230111212315.xml
2023-01-11T21:25:19.3064315Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestNamedTupleDataLoader-20230111212315.xml
2023-01-11T21:25:19.3064836Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestSetAffinity-20230111212315.xml
2023-01-11T21:25:19.3065345Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestTensorDataset-20230111212315.xml
2023-01-11T21:25:19.3065852Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConvAfterFork-20230111212315.xml
2023-01-11T21:25:19.3066340Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestCustomPinFn-20230111212315.xml
2023-01-11T21:25:19.3066873Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestIndividualWorkerQueue-20230111212315.xml
2023-01-11T21:25:19.3067420Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestStringDataLoader-20230111212315.xml
2023-01-11T21:25:19.3067660Z 
2023-01-11T21:25:19.3067998Z ##[endgroup]
2023-01-11T21:25:19.3068384Z FINISHED PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_zo7wz1l2)
2023-01-11T21:25:19.3068604Z 
2023-01-11T21:25:21.1053441Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:25:21.2448040Z Ignoring disabled issues:  []
2023-01-11T21:25:21.2601516Z Running test_fx_experimental ... [2023-01-11 21:25:21.259916]
2023-01-11T21:25:21.2604161Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_experimental.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:25:21.260175]
2023-01-11T21:26:19.7930062Z 
2023-01-11T21:26:19.7992644Z Expand the folded group to see the log file of test_fx_experimental
2023-01-11T21:26:19.7994077Z ##[group]PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_cwphhvt7)
2023-01-11T21:26:19.7995033Z Test results will be stored in test-reports/python-unittest/test_fx_experimental
2023-01-11T21:26:19.7995337Z 
2023-01-11T21:26:19.7995454Z Running tests...
2023-01-11T21:26:19.7995910Z ----------------------------------------------------------------------
2023-01-11T21:26:19.7996461Z   test_annotate_getitem_node (__main__.TestFXExperimental) ... ok (0.005s)
2023-01-11T21:26:19.7997864Z   test_annotate_returns_with_schema (__main__.TestFXExperimental) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2023-01-11T21:26:19.7998876Z   warnings.warn("The TorchScript type system doesn't support "
2023-01-11T21:26:19.7999223Z ok (1.744s)
2023-01-11T21:26:19.7999606Z   test_aot_based_partition (__main__.TestFXExperimental) ... ok (0.006s)
2023-01-11T21:26:19.8000072Z   test_call_to_assert_no_msg (__main__.TestFXExperimental) ... ok (0.004s)
2023-01-11T21:26:19.8000526Z   test_call_to_assert_with_empty_msg (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8001129Z   test_call_to_assert_with_msg (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8001481Z   test_call_to_assert_with_multiline_message (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8001790Z   test_conv_bn_fusion (__main__.TestFXExperimental) ... ok (1.820s)
2023-01-11T21:26:19.8002077Z   test_conv_bn_fusion_not_running_state (__main__.TestFXExperimental) ... ok (0.010s)
2023-01-11T21:26:19.8002388Z   test_cost_aware_partition (__main__.TestFXExperimental) ... ok (0.012s)
2023-01-11T21:26:19.8002669Z   test_fetch (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8002941Z   test_find_single_partition (__main__.TestFXExperimental) ... ok (0.004s)
2023-01-11T21:26:19.8003233Z   test_lack_of_devices (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8003677Z   test_large_node_error (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8003953Z   test_merge_matmuls (__main__.TestFXExperimental)
2023-01-11T21:26:19.8004242Z A collection of test cases for torch.fx.experimental.merge_matmul, ... ok (0.028s)
2023-01-11T21:26:19.8004550Z   test_meta_tracer (__main__.TestFXExperimental) ... ok (0.017s)
2023-01-11T21:26:19.8004828Z   test_normalize_args (__main__.TestFXExperimental) ... ok (0.903s)
2023-01-11T21:26:19.8005475Z   test_normalize_args_perserve_type (__main__.TestFXExperimental) ... /opt/conda/lib/python3.7/site-packages/torch/fx/operator_schemas.py:208: UserWarning: Does not support nested parametric types, got typing.List[~t]. Please file a bug.
2023-01-11T21:26:19.8005958Z   f"Does not support nested parametric types, got {signature_type}. Please file a bug.")
2023-01-11T21:26:19.8006204Z ok (0.005s)
2023-01-11T21:26:19.8006446Z   test_normalize_args_preserve_meta (__main__.TestFXExperimental) ... ok (0.004s)
2023-01-11T21:26:19.8006748Z   test_normalize_binary_operators (__main__.TestFXExperimental) ... ok (0.054s)
2023-01-11T21:26:19.8007052Z   test_normalize_modules_exhaustive (__main__.TestFXExperimental)
2023-01-11T21:26:19.8007876Z Exhaustively test `Node.normalized_arguments` on all standard ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py:310: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:997.)
2023-01-11T21:26:19.8008417Z   self.padding, self.dilation, self.groups)
2023-01-11T21:26:19.8008607Z ok (1.733s)
2023-01-11T21:26:19.8008846Z   test_optimize_for_inference_cpu (__main__.TestFXExperimental) ... ok (0.298s)
2023-01-11T21:26:19.8009304Z   test_optimize_for_inference_cpu_torchvision (__main__.TestFXExperimental) ... ok (10.552s)
2023-01-11T21:26:19.8009616Z   test_partition_device_mapping (__main__.TestFXExperimental) ... ok (0.008s)
2023-01-11T21:26:19.8009970Z   test_partition_latency (__main__.TestFXExperimental) ... ok (0.007s)
2023-01-11T21:26:19.8010279Z   test_partition_node_manipulation (__main__.TestFXExperimental) ... ok (0.004s)
2023-01-11T21:26:19.8010593Z   test_replace_target_nodes_with (__main__.TestFXExperimental) ... ok (0.003s)
2023-01-11T21:26:19.8010869Z   test_saturate_host (__main__.TestFXExperimental) ... [0, 4]
2023-01-11T21:26:19.8011076Z [1, 2]
2023-01-11T21:26:19.8011230Z ok (0.006s)
2023-01-11T21:26:19.8011449Z   test_size_based_partition (__main__.TestFXExperimental) ... ok (0.006s)
2023-01-11T21:26:19.8011746Z   test_sparse_nn_partition (__main__.TestFXExperimental) ... ok (0.115s)
2023-01-11T21:26:19.8012043Z   test_split_module_default_arg (__main__.TestFXExperimental) ... ok (0.007s)
2023-01-11T21:26:19.8012343Z   test_split_module_kwargs_expansion (__main__.TestFXExperimental) ... ok (0.004s)
2023-01-11T21:26:19.8012650Z   test_split_qualname_mapping (__main__.TestFXExperimental) ... ok (0.007s)
2023-01-11T21:26:19.8012944Z   test_subgraph_creation (__main__.TestFXExperimental) ... ok (0.006s)
2023-01-11T21:26:19.8013242Z   test_subgraph_trivial_resnet (__main__.TestFXExperimental) ... ok (0.180s)
2023-01-11T21:26:19.8013530Z   test_subgraph_uniquename (__main__.TestFXExperimental) ... ok (0.006s)
2023-01-11T21:26:19.8014156Z   test_to_folder (__main__.TestFXExperimental) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py:476: UserWarning: Was not able to save the following children modules as reprs -saved as pickled files instead: ['seq']
2023-01-11T21:26:19.8014654Z   warnings.warn("Was not able to save the following children modules as reprs -"
2023-01-11T21:26:19.8014887Z ok (0.009s)
2023-01-11T21:26:19.8015131Z   test_traceable_function_with_nonstandard_name (__main__.TestFXExperimental) ... ok (0.002s)
2023-01-11T21:26:19.8015440Z   test_type_matches (__main__.TestFXExperimental) ... ok (0.002s)
2023-01-11T21:26:19.8015755Z   test_normalize_args_op_overload_cpu (__main__.TestNormalizeOperatorsCPU) ... ok (0.001s)
2023-01-11T21:26:19.8016125Z   test_normalize_operator_exhaustive_H_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8016530Z   test_normalize_operator_exhaustive_T_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8016940Z   test_normalize_operator_exhaustive___getitem___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8017357Z   test_normalize_operator_exhaustive___radd___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8017758Z   test_normalize_operator_exhaustive___rdiv___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8018170Z   test_normalize_operator_exhaustive___rmatmul___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8018581Z   test_normalize_operator_exhaustive___rmod___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8018985Z   test_normalize_operator_exhaustive___rmul___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8019836Z   test_normalize_operator_exhaustive___rpow___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:870: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:26:19.8020407Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2023-01-11T21:26:19.8020646Z expected failure (0.005s)
2023-01-11T21:26:19.8020956Z   test_normalize_operator_exhaustive___rsub___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8021400Z   test_normalize_operator_exhaustive__native_batch_norm_legit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2023-01-11T21:26:19.8021848Z   test_normalize_operator_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8022242Z   test_normalize_operator_exhaustive_abs_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8022618Z   test_normalize_operator_exhaustive_acos_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8022984Z   test_normalize_operator_exhaustive_acosh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8023358Z   test_normalize_operator_exhaustive_add_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8023735Z   test_normalize_operator_exhaustive_addbmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2023-01-11T21:26:19.8024125Z   test_normalize_operator_exhaustive_addcdiv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2023-01-11T21:26:19.8024500Z   test_normalize_operator_exhaustive_addcmul_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2023-01-11T21:26:19.8024883Z   test_normalize_operator_exhaustive_addmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8025276Z   test_normalize_operator_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8025654Z   test_normalize_operator_exhaustive_addmv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2023-01-11T21:26:19.8026030Z   test_normalize_operator_exhaustive_addr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2023-01-11T21:26:19.8026405Z   test_normalize_operator_exhaustive_all_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2023-01-11T21:26:19.8026784Z   test_normalize_operator_exhaustive_allclose_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.064s)
2023-01-11T21:26:19.8027155Z   test_normalize_operator_exhaustive_amax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.055s)
2023-01-11T21:26:19.8027527Z   test_normalize_operator_exhaustive_amin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2023-01-11T21:26:19.8028351Z   test_normalize_operator_exhaustive_aminmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:26:19.8029075Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8029730Z test_fx_experimental.py:1564: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:26:19.8030388Z   test_out = op.op(*norm_args_and_kwargs.args, **norm_args_and_kwargs.kwargs)
2023-01-11T21:26:19.8031063Z <string>:5: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:26:19.8032432Z <string>:5: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:26:19.8032996Z ok (0.021s)
2023-01-11T21:26:19.8033268Z   test_normalize_operator_exhaustive_angle_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8033737Z   test_normalize_operator_exhaustive_any_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2023-01-11T21:26:19.8034137Z   test_normalize_operator_exhaustive_arange_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.021s)
2023-01-11T21:26:19.8034537Z   test_normalize_operator_exhaustive_argmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2023-01-11T21:26:19.8034904Z   test_normalize_operator_exhaustive_argmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2023-01-11T21:26:19.8035288Z   test_normalize_operator_exhaustive_argsort_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.081s)
2023-01-11T21:26:19.8035674Z   test_normalize_operator_exhaustive_argwhere_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8036048Z   test_normalize_operator_exhaustive_as_strided_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2023-01-11T21:26:19.8036450Z   test_normalize_operator_exhaustive_as_strided_partial_views_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8036858Z   test_normalize_operator_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2023-01-11T21:26:19.8037250Z   test_normalize_operator_exhaustive_asin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8037621Z   test_normalize_operator_exhaustive_asinh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8038002Z   test_normalize_operator_exhaustive_atan2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8038378Z   test_normalize_operator_exhaustive_atan_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8038753Z   test_normalize_operator_exhaustive_atanh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8039136Z   test_normalize_operator_exhaustive_atleast_1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8039554Z   test_normalize_operator_exhaustive_atleast_2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8039964Z   test_normalize_operator_exhaustive_atleast_3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8040364Z   test_normalize_operator_exhaustive_baddbmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8040754Z   test_normalize_operator_exhaustive_bernoulli_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8041168Z   test_normalize_operator_exhaustive_bfloat16_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8041578Z   test_normalize_operator_exhaustive_block_diag_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8041972Z   test_normalize_operator_exhaustive_bmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8042349Z   test_normalize_operator_exhaustive_bool_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8042807Z   test_normalize_operator_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8043269Z   test_normalize_operator_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8043822Z   test_normalize_operator_exhaustive_broadcast_to_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2023-01-11T21:26:19.8044201Z   test_normalize_operator_exhaustive_bucketize_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.072s)
2023-01-11T21:26:19.8044601Z   test_normalize_operator_exhaustive_byte_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8045017Z   test_normalize_operator_exhaustive_cartesian_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8045420Z   test_normalize_operator_exhaustive_cat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8045786Z   test_normalize_operator_exhaustive_cdist_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.646s)
2023-01-11T21:26:19.8046185Z   test_normalize_operator_exhaustive_cdouble_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8046582Z   test_normalize_operator_exhaustive_ceil_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8046963Z   test_normalize_operator_exhaustive_cfloat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8047897Z   test_normalize_operator_exhaustive_chalf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:14533: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2023-01-11T21:26:19.8048470Z   op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs),
2023-01-11T21:26:19.8048691Z expected failure (0.003s)
2023-01-11T21:26:19.8049007Z   test_normalize_operator_exhaustive_char_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8049546Z   test_normalize_operator_exhaustive_cholesky_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2023-01-11T21:26:19.8049970Z L = torch.cholesky(A)
2023-01-11T21:26:19.8050159Z should be replaced with
2023-01-11T21:26:19.8050347Z L = torch.linalg.cholesky(A)
2023-01-11T21:26:19.8050528Z and
2023-01-11T21:26:19.8050703Z U = torch.cholesky(A, upper=True)
2023-01-11T21:26:19.8050890Z should be replaced with
2023-01-11T21:26:19.8051096Z U = torch.linalg.cholesky(A).mH().
2023-01-11T21:26:19.8051510Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1730.)
2023-01-11T21:26:19.8051915Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8052098Z ok (0.046s)
2023-01-11T21:26:19.8052389Z   test_normalize_operator_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8052792Z   test_normalize_operator_exhaustive_cholesky_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2023-01-11T21:26:19.8053170Z   test_normalize_operator_exhaustive_chunk_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8053551Z   test_normalize_operator_exhaustive_clamp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2023-01-11T21:26:19.8053935Z   test_normalize_operator_exhaustive_clamp_max_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8054383Z   test_normalize_operator_exhaustive_clamp_min_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8054790Z   test_normalize_operator_exhaustive_clone_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8055196Z   test_normalize_operator_exhaustive_column_stack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8055605Z   test_normalize_operator_exhaustive_combinations_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.052s)
2023-01-11T21:26:19.8055995Z   test_normalize_operator_exhaustive_complex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8056362Z   test_normalize_operator_exhaustive_conj_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8056749Z   test_normalize_operator_exhaustive_conj_physical_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8057151Z   test_normalize_operator_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.140s)
2023-01-11T21:26:19.8057563Z   test_normalize_operator_exhaustive_contiguous_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8057950Z   test_normalize_operator_exhaustive_copysign_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8058329Z   test_normalize_operator_exhaustive_corrcoef_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2023-01-11T21:26:19.8058708Z   test_normalize_operator_exhaustive_cos_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8059080Z   test_normalize_operator_exhaustive_cosh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8059449Z   test_normalize_operator_exhaustive_count_nonzero_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2023-01-11T21:26:19.8059831Z   test_normalize_operator_exhaustive_cov_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.128s)
2023-01-11T21:26:19.8060209Z   test_normalize_operator_exhaustive_cross_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8060579Z   test_normalize_operator_exhaustive_cummax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8060957Z   test_normalize_operator_exhaustive_cummin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8061341Z   test_normalize_operator_exhaustive_cumprod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8061720Z   test_normalize_operator_exhaustive_cumsum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2023-01-11T21:26:19.8062105Z   test_normalize_operator_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8062503Z   test_normalize_operator_exhaustive_deg2rad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8062886Z   test_normalize_operator_exhaustive_diag_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8063271Z   test_normalize_operator_exhaustive_diag_embed_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.045s)
2023-01-11T21:26:19.8063647Z   test_normalize_operator_exhaustive_diagflat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2023-01-11T21:26:19.8064038Z   test_normalize_operator_exhaustive_diagonal_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8064431Z   test_normalize_operator_exhaustive_diagonal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8064826Z   test_normalize_operator_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.046s)
2023-01-11T21:26:19.8065203Z   test_normalize_operator_exhaustive_diff_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.190s)
2023-01-11T21:26:19.8065662Z   test_normalize_operator_exhaustive_digamma_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8066089Z   test_normalize_operator_exhaustive_dist_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.140s)
2023-01-11T21:26:19.8066469Z   test_normalize_operator_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8066873Z   test_normalize_operator_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2023-01-11T21:26:19.8067278Z   test_normalize_operator_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8067664Z   test_normalize_operator_exhaustive_dot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8068051Z   test_normalize_operator_exhaustive_double_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8068447Z   test_normalize_operator_exhaustive_dsplit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8068830Z   test_normalize_operator_exhaustive_dstack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.004s)
2023-01-11T21:26:19.8069222Z   test_normalize_operator_exhaustive_einsum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8069620Z   test_normalize_operator_exhaustive_empty_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8070032Z   test_normalize_operator_exhaustive_empty_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8070423Z   test_normalize_operator_exhaustive_eq_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.041s)
2023-01-11T21:26:19.8070802Z   test_normalize_operator_exhaustive_equal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2023-01-11T21:26:19.8071164Z   test_normalize_operator_exhaustive_erf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8071543Z   test_normalize_operator_exhaustive_erfc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8071922Z   test_normalize_operator_exhaustive_erfinv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8072298Z   test_normalize_operator_exhaustive_exp2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8072657Z   test_normalize_operator_exhaustive_exp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8073052Z   test_normalize_operator_exhaustive_expand_as_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8073541Z   test_normalize_operator_exhaustive_expand_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8073984Z   test_normalize_operator_exhaustive_expm1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8074362Z   test_normalize_operator_exhaustive_eye_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8074760Z   test_normalize_operator_exhaustive_fft_fft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8075139Z   test_normalize_operator_exhaustive_fft_fft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8075506Z   test_normalize_operator_exhaustive_fft_fftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8075894Z   test_normalize_operator_exhaustive_fft_fftshift_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8076283Z   test_normalize_operator_exhaustive_fft_hfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8076663Z   test_normalize_operator_exhaustive_fft_hfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8077069Z   test_normalize_operator_exhaustive_fft_hfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8077481Z   test_normalize_operator_exhaustive_fft_ifft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8077859Z   test_normalize_operator_exhaustive_fft_ifft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2023-01-11T21:26:19.8078234Z   test_normalize_operator_exhaustive_fft_ifftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8078608Z   test_normalize_operator_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8078996Z   test_normalize_operator_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8079379Z   test_normalize_operator_exhaustive_fft_ihfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8079763Z   test_normalize_operator_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8080140Z   test_normalize_operator_exhaustive_fft_irfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8080519Z   test_normalize_operator_exhaustive_fft_irfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8080900Z   test_normalize_operator_exhaustive_fft_irfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8081280Z   test_normalize_operator_exhaustive_fft_rfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8081642Z   test_normalize_operator_exhaustive_fft_rfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8082021Z   test_normalize_operator_exhaustive_fft_rfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8082401Z   test_normalize_operator_exhaustive_fill_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8082764Z   test_normalize_operator_exhaustive_flatten_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2023-01-11T21:26:19.8083148Z   test_normalize_operator_exhaustive_flip_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8083679Z   test_normalize_operator_exhaustive_fliplr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8084064Z   test_normalize_operator_exhaustive_flipud_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8084444Z   test_normalize_operator_exhaustive_float_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8084844Z   test_normalize_operator_exhaustive_float_power_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8085226Z   test_normalize_operator_exhaustive_floor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8085613Z   test_normalize_operator_exhaustive_floor_divide_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8085984Z   test_normalize_operator_exhaustive_fmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8086359Z   test_normalize_operator_exhaustive_fmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8086729Z   test_normalize_operator_exhaustive_fmod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8087098Z   test_normalize_operator_exhaustive_frac_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8087456Z   test_normalize_operator_exhaustive_frexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8087829Z   test_normalize_operator_exhaustive_full_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8088266Z   test_normalize_operator_exhaustive_full_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8088676Z   test_normalize_operator_exhaustive_gather_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8089059Z   test_normalize_operator_exhaustive_ge_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8089441Z   test_normalize_operator_exhaustive_geqrf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.106s)
2023-01-11T21:26:19.8089847Z   test_normalize_operator_exhaustive_gradient_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.030s)
2023-01-11T21:26:19.8090243Z   test_normalize_operator_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.058s)
2023-01-11T21:26:19.8090629Z   test_normalize_operator_exhaustive_gt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8091024Z   test_normalize_operator_exhaustive_half_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8091423Z   test_normalize_operator_exhaustive_heaviside_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8091796Z   test_normalize_operator_exhaustive_histc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.274s)
2023-01-11T21:26:19.8092179Z   test_normalize_operator_exhaustive_histogram_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.741s)
2023-01-11T21:26:19.8092583Z   test_normalize_operator_exhaustive_histogramdd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.014s)
2023-01-11T21:26:19.8092987Z   test_normalize_operator_exhaustive_hsplit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8093355Z   test_normalize_operator_exhaustive_hstack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.004s)
2023-01-11T21:26:19.8093732Z   test_normalize_operator_exhaustive_hypot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8094107Z   test_normalize_operator_exhaustive_i0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8094487Z   test_normalize_operator_exhaustive_igamma_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8094855Z   test_normalize_operator_exhaustive_igammac_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8095237Z   test_normalize_operator_exhaustive_index_add_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8095621Z   test_normalize_operator_exhaustive_index_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8095992Z   test_normalize_operator_exhaustive_index_fill_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2023-01-11T21:26:19.8096814Z   test_normalize_operator_exhaustive_index_put_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/fx/operator_schemas.py:208: UserWarning: Does not support nested parametric types, got typing.List[typing.Union[torch.Tensor, NoneType]]. Please file a bug.
2023-01-11T21:26:19.8097380Z   f"Does not support nested parametric types, got {signature_type}. Please file a bug.")
2023-01-11T21:26:19.8097641Z expected failure (0.005s)
2023-01-11T21:26:19.8098158Z   test_normalize_operator_exhaustive_index_reduce_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1128.)
2023-01-11T21:26:19.8098659Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8098852Z ok (0.104s)
2023-01-11T21:26:19.8099141Z   test_normalize_operator_exhaustive_index_select_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8099550Z   test_normalize_operator_exhaustive_inner_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8099975Z   test_normalize_operator_exhaustive_int_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8100374Z   test_normalize_operator_exhaustive_isclose_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.051s)
2023-01-11T21:26:19.8100759Z   test_normalize_operator_exhaustive_isfinite_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8101127Z   test_normalize_operator_exhaustive_isin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8101511Z   test_normalize_operator_exhaustive_isinf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.005s)
2023-01-11T21:26:19.8101888Z   test_normalize_operator_exhaustive_isnan_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8102269Z   test_normalize_operator_exhaustive_isneginf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.005s)
2023-01-11T21:26:19.8102637Z   test_normalize_operator_exhaustive_isposinf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.005s)
2023-01-11T21:26:19.8103016Z   test_normalize_operator_exhaustive_isreal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8103437Z   test_normalize_operator_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T21:26:19.8103905Z   test_normalize_operator_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T21:26:19.8104346Z   test_normalize_operator_exhaustive_jiterator_binary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T21:26:19.8104800Z   test_normalize_operator_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T21:26:19.8105249Z   test_normalize_operator_exhaustive_jiterator_unary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T21:26:19.8105654Z   test_normalize_operator_exhaustive_kron_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8106020Z   test_normalize_operator_exhaustive_kthvalue_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8106402Z   test_normalize_operator_exhaustive_ldexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8106772Z   test_normalize_operator_exhaustive_le_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8107146Z   test_normalize_operator_exhaustive_lerp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.045s)
2023-01-11T21:26:19.8107513Z   test_normalize_operator_exhaustive_lgamma_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8107906Z   test_normalize_operator_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2023-01-11T21:26:19.8108305Z   test_normalize_operator_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.052s)
2023-01-11T21:26:19.8108699Z   test_normalize_operator_exhaustive_linalg_cond_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8109079Z   test_normalize_operator_exhaustive_linalg_cross_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8109473Z   test_normalize_operator_exhaustive_linalg_det_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8109870Z   test_normalize_operator_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.097s)
2023-01-11T21:26:19.8110255Z   test_normalize_operator_exhaustive_linalg_eig_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8110682Z   test_normalize_operator_exhaustive_linalg_eigh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8111109Z   test_normalize_operator_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8111509Z   test_normalize_operator_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2023-01-11T21:26:19.8111906Z   test_normalize_operator_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2023-01-11T21:26:19.8112307Z   test_normalize_operator_exhaustive_linalg_inv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2023-01-11T21:26:19.8112693Z   test_normalize_operator_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8113092Z   test_normalize_operator_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2023-01-11T21:26:19.8113584Z   test_normalize_operator_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8113988Z   test_normalize_operator_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.051s)
2023-01-11T21:26:19.8114383Z   test_normalize_operator_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.162s)
2023-01-11T21:26:19.8114789Z   test_normalize_operator_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.143s)
2023-01-11T21:26:19.8115180Z   test_normalize_operator_exhaustive_linalg_lu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.061s)
2023-01-11T21:26:19.8115570Z   test_normalize_operator_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2023-01-11T21:26:19.8115971Z   test_normalize_operator_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2023-01-11T21:26:19.8116371Z   test_normalize_operator_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.326s)
2023-01-11T21:26:19.8116758Z   test_normalize_operator_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.231s)
2023-01-11T21:26:19.8117159Z   test_normalize_operator_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2023-01-11T21:26:19.8117561Z   test_normalize_operator_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.283s)
2023-01-11T21:26:19.8117974Z   test_normalize_operator_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8118371Z   test_normalize_operator_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.007s)
2023-01-11T21:26:19.8118760Z   test_normalize_operator_exhaustive_linalg_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.347s)
2023-01-11T21:26:19.8119174Z   test_normalize_operator_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.256s)
2023-01-11T21:26:19.8119586Z   test_normalize_operator_exhaustive_linalg_pinv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.098s)
2023-01-11T21:26:19.8119975Z   test_normalize_operator_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2023-01-11T21:26:19.8120447Z   test_normalize_operator_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T21:26:19.8120905Z   test_normalize_operator_exhaustive_linalg_qr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.116s)
2023-01-11T21:26:19.8121297Z   test_normalize_operator_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8121747Z   test_normalize_operator_exhaustive_linalg_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2023-01-11T21:26:19.8122171Z   test_normalize_operator_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.061s)
2023-01-11T21:26:19.8122581Z   test_normalize_operator_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.447s)
2023-01-11T21:26:19.8122983Z   test_normalize_operator_exhaustive_linalg_svd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.872s)
2023-01-11T21:26:19.8123480Z   test_normalize_operator_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.097s)
2023-01-11T21:26:19.8123891Z   test_normalize_operator_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8124294Z   test_normalize_operator_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8124703Z   test_normalize_operator_exhaustive_linalg_vander_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8125083Z   test_normalize_operator_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.121s)
2023-01-11T21:26:19.8125480Z   test_normalize_operator_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.506s)
2023-01-11T21:26:19.8125876Z   test_normalize_operator_exhaustive_linspace_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.110s)
2023-01-11T21:26:19.8126246Z   test_normalize_operator_exhaustive_log10_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8126628Z   test_normalize_operator_exhaustive_log1p_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8127004Z   test_normalize_operator_exhaustive_log2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8127380Z   test_normalize_operator_exhaustive_log_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8127747Z   test_normalize_operator_exhaustive_log_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2023-01-11T21:26:19.8128151Z   test_normalize_operator_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2023-01-11T21:26:19.8128555Z   test_normalize_operator_exhaustive_logaddexp2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8128945Z   test_normalize_operator_exhaustive_logaddexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8129324Z   test_normalize_operator_exhaustive_logcumsumexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2023-01-11T21:26:19.8129710Z   test_normalize_operator_exhaustive_logdet_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2023-01-11T21:26:19.8130094Z   test_normalize_operator_exhaustive_logical_and_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8130466Z   test_normalize_operator_exhaustive_logical_not_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8130854Z   test_normalize_operator_exhaustive_logical_or_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8131235Z   test_normalize_operator_exhaustive_logical_xor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8131616Z   test_normalize_operator_exhaustive_logit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2023-01-11T21:26:19.8131989Z   test_normalize_operator_exhaustive_logspace_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.932s)
2023-01-11T21:26:19.8132374Z   test_normalize_operator_exhaustive_logsumexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2023-01-11T21:26:19.8132769Z   test_normalize_operator_exhaustive_long_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8133218Z   test_normalize_operator_exhaustive_lt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8134049Z   test_normalize_operator_exhaustive_lu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1728: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2023-01-11T21:26:19.8134548Z LU, pivots = torch.lu(A, compute_pivots)
2023-01-11T21:26:19.8134758Z should be replaced with
2023-01-11T21:26:19.8134988Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2023-01-11T21:26:19.8135222Z and
2023-01-11T21:26:19.8135431Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2023-01-11T21:26:19.8135655Z should be replaced with
2023-01-11T21:26:19.8135998Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2029.)
2023-01-11T21:26:19.8136395Z   return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
2023-01-11T21:26:19.8136620Z ok (0.097s)
2023-01-11T21:26:19.8137053Z   test_normalize_operator_exhaustive_lu_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
2023-01-11T21:26:19.8137510Z Note that torch.linalg.lu_solve has its arguments reversed.
2023-01-11T21:26:19.8137746Z X = torch.lu_solve(B, LU, pivots)
2023-01-11T21:26:19.8137944Z should be replaced with
2023-01-11T21:26:19.8138270Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2183.)
2023-01-11T21:26:19.8138612Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8138807Z ok (0.080s)
2023-01-11T21:26:19.8139080Z   test_normalize_operator_exhaustive_lu_unpack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.060s)
2023-01-11T21:26:19.8139477Z   test_normalize_operator_exhaustive_mH_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8139875Z   test_normalize_operator_exhaustive_mT_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8140287Z   test_normalize_operator_exhaustive_masked_amax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8140689Z   test_normalize_operator_exhaustive_masked_amin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8141110Z   test_normalize_operator_exhaustive_masked_argmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8141531Z   test_normalize_operator_exhaustive_masked_argmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8141958Z   test_normalize_operator_exhaustive_masked_cumprod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8142372Z   test_normalize_operator_exhaustive_masked_cumsum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2023-01-11T21:26:19.8142776Z   test_normalize_operator_exhaustive_masked_fill_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2023-01-11T21:26:19.8143187Z   test_normalize_operator_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8143620Z   test_normalize_operator_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8144040Z   test_normalize_operator_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8144464Z   test_normalize_operator_exhaustive_masked_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8144918Z   test_normalize_operator_exhaustive_masked_median_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8145379Z   test_normalize_operator_exhaustive_masked_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8145787Z   test_normalize_operator_exhaustive_masked_normalize_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8146204Z   test_normalize_operator_exhaustive_masked_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8146610Z   test_normalize_operator_exhaustive_masked_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2023-01-11T21:26:19.8147006Z   test_normalize_operator_exhaustive_masked_select_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2023-01-11T21:26:19.8147406Z   test_normalize_operator_exhaustive_masked_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8147833Z   test_normalize_operator_exhaustive_masked_softmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8148250Z   test_normalize_operator_exhaustive_masked_std_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8148659Z   test_normalize_operator_exhaustive_masked_sum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8149054Z   test_normalize_operator_exhaustive_masked_var_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8149451Z   test_normalize_operator_exhaustive_matmul_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2023-01-11T21:26:19.8149837Z   test_normalize_operator_exhaustive_matrix_exp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8150225Z   test_normalize_operator_exhaustive_max_binary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8150640Z   test_normalize_operator_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8151072Z   test_normalize_operator_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8151479Z   test_normalize_operator_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2023-01-11T21:26:19.8151874Z   test_normalize_operator_exhaustive_maximum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8152240Z   test_normalize_operator_exhaustive_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.066s)
2023-01-11T21:26:19.8152621Z   test_normalize_operator_exhaustive_median_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8153038Z   test_normalize_operator_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8153556Z   test_normalize_operator_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8153958Z   test_normalize_operator_exhaustive_min_binary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8154354Z   test_normalize_operator_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8154760Z   test_normalize_operator_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8155152Z   test_normalize_operator_exhaustive_minimum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8155555Z   test_normalize_operator_exhaustive_mm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8155931Z   test_normalize_operator_exhaustive_mode_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8156348Z   test_normalize_operator_exhaustive_movedim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8156714Z   test_normalize_operator_exhaustive_msort_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8157095Z   test_normalize_operator_exhaustive_mul_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8157492Z   test_normalize_operator_exhaustive_multinomial_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8157886Z   test_normalize_operator_exhaustive_mv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8158267Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8158677Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8159086Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8159480Z   test_normalize_operator_exhaustive_nan_to_num_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8159851Z   test_normalize_operator_exhaustive_nanmean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.102s)
2023-01-11T21:26:19.8160238Z   test_normalize_operator_exhaustive_nanmedian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2023-01-11T21:26:19.8160628Z   test_normalize_operator_exhaustive_nanquantile_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.219s)
2023-01-11T21:26:19.8161013Z   test_normalize_operator_exhaustive_nansum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.100s)
2023-01-11T21:26:19.8161387Z   test_normalize_operator_exhaustive_narrow_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8161771Z   test_normalize_operator_exhaustive_narrow_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8162161Z   test_normalize_operator_exhaustive_native_batch_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8162760Z   test_normalize_operator_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: normalize operator doesn't work on torch.ops (0.003s)
2023-01-11T21:26:19.8163201Z   test_normalize_operator_exhaustive_native_layer_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.072s)
2023-01-11T21:26:19.8163807Z   test_normalize_operator_exhaustive_ne_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8164356Z   test_normalize_operator_exhaustive_neg_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8164942Z   test_normalize_operator_exhaustive_new_empty_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8165561Z   test_normalize_operator_exhaustive_new_empty_strided_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8166188Z   test_normalize_operator_exhaustive_new_full_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8166771Z   test_normalize_operator_exhaustive_new_ones_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8167263Z   test_normalize_operator_exhaustive_new_zeros_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8167654Z   test_normalize_operator_exhaustive_nextafter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8168165Z   test_normalize_operator_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2023-01-11T21:26:19.8168669Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2023-01-11T21:26:19.8169109Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8169531Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8169962Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8170394Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.070s)
2023-01-11T21:26:19.8170823Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.062s)
2023-01-11T21:26:19.8171253Z   test_normalize_operator_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8171684Z   test_normalize_operator_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8172095Z   test_normalize_operator_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2023-01-11T21:26:19.8172502Z   test_normalize_operator_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8172896Z   test_normalize_operator_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.040s)
2023-01-11T21:26:19.8173306Z   test_normalize_operator_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2023-01-11T21:26:19.8173731Z   test_normalize_operator_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8174177Z   test_normalize_operator_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.081s)
2023-01-11T21:26:19.8174593Z   test_normalize_operator_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8174998Z   test_normalize_operator_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2023-01-11T21:26:19.8175400Z   test_normalize_operator_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.123s)
2023-01-11T21:26:19.8175814Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8176232Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.045s)
2023-01-11T21:26:19.8176659Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2023-01-11T21:26:19.8177093Z   test_normalize_operator_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8177523Z   test_normalize_operator_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8177930Z   test_normalize_operator_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.061s)
2023-01-11T21:26:19.8178338Z   test_normalize_operator_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8179611Z   test_normalize_operator_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2023-01-11T21:26:19.8180537Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2023-01-11T21:26:19.8180805Z expected failure (0.003s)
2023-01-11T21:26:19.8181123Z   test_normalize_operator_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8181567Z   test_normalize_operator_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8181990Z   test_normalize_operator_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8182421Z   test_normalize_operator_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8182855Z   test_normalize_operator_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8183322Z   test_normalize_operator_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8183807Z   test_normalize_operator_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8184284Z   test_normalize_operator_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8184734Z   test_normalize_operator_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8185186Z   test_normalize_operator_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.062s)
2023-01-11T21:26:19.8185608Z   test_normalize_operator_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8186009Z   test_normalize_operator_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.119s)
2023-01-11T21:26:19.8186404Z   test_normalize_operator_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.089s)
2023-01-11T21:26:19.8186820Z   test_normalize_operator_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.062s)
2023-01-11T21:26:19.8187240Z   test_normalize_operator_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8187662Z   test_normalize_operator_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8188069Z   test_normalize_operator_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8188483Z   test_normalize_operator_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2023-01-11T21:26:19.8188912Z   test_normalize_operator_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8189344Z   test_normalize_operator_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8189749Z   test_normalize_operator_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8190212Z   test_normalize_operator_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2023-01-11T21:26:19.8190675Z   test_normalize_operator_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.055s)
2023-01-11T21:26:19.8191109Z   test_normalize_operator_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2023-01-11T21:26:19.8191533Z   test_normalize_operator_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.051s)
2023-01-11T21:26:19.8191968Z   test_normalize_operator_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2023-01-11T21:26:19.8192404Z   test_normalize_operator_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2023-01-11T21:26:19.8193500Z   test_normalize_operator_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T21:26:19.8194232Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T21:26:19.8194462Z ok (0.048s)
2023-01-11T21:26:19.8194756Z   test_normalize_operator_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2023-01-11T21:26:19.8195171Z   test_normalize_operator_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2023-01-11T21:26:19.8195584Z   test_normalize_operator_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8195983Z   test_normalize_operator_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.052s)
2023-01-11T21:26:19.8196404Z   test_normalize_operator_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2023-01-11T21:26:19.8196824Z   test_normalize_operator_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8198498Z   test_normalize_operator_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.071s)
2023-01-11T21:26:19.8199032Z   test_normalize_operator_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (2.666s)
2023-01-11T21:26:19.8199450Z   test_normalize_operator_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (4.594s)
2023-01-11T21:26:19.8199874Z   test_normalize_operator_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.876s)
2023-01-11T21:26:19.8200307Z   test_normalize_operator_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.606s)
2023-01-11T21:26:19.8200742Z   test_normalize_operator_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.064s)
2023-01-11T21:26:19.8201162Z   test_normalize_operator_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.904s)
2023-01-11T21:26:19.8201599Z   test_normalize_operator_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.101s)
2023-01-11T21:26:19.8202034Z   test_normalize_operator_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.324s)
2023-01-11T21:26:19.8202552Z   test_normalize_operator_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.060s)
2023-01-11T21:26:19.8203008Z   test_normalize_operator_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8203486Z   test_normalize_operator_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8203903Z   test_normalize_operator_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8204334Z   test_normalize_operator_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8204776Z   test_normalize_operator_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2023-01-11T21:26:19.8205189Z   test_normalize_operator_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.161s)
2023-01-11T21:26:19.8205599Z   test_normalize_operator_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2023-01-11T21:26:19.8206018Z   test_normalize_operator_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8206432Z   test_normalize_operator_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.136s)
2023-01-11T21:26:19.8206840Z   test_normalize_operator_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8207257Z   test_normalize_operator_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8207684Z   test_normalize_operator_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2023-01-11T21:26:19.8208105Z   test_normalize_operator_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8208510Z   test_normalize_operator_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8208931Z   test_normalize_operator_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8209355Z   test_normalize_operator_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.221s)
2023-01-11T21:26:19.8209766Z   test_normalize_operator_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.066s)
2023-01-11T21:26:19.8210280Z   test_normalize_operator_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8210690Z   test_normalize_operator_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8211113Z   test_normalize_operator_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8211532Z   test_normalize_operator_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8211924Z   test_normalize_operator_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8212333Z   test_normalize_operator_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2023-01-11T21:26:19.8212753Z   test_normalize_operator_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2023-01-11T21:26:19.8213166Z   test_normalize_operator_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8213670Z   test_normalize_operator_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8214136Z   test_normalize_operator_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8214553Z   test_normalize_operator_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8214961Z   test_normalize_operator_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8215365Z   test_normalize_operator_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8215792Z   test_normalize_operator_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8216225Z   test_normalize_operator_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8216696Z   test_normalize_operator_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8217132Z   test_normalize_operator_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.241s)
2023-01-11T21:26:19.8217968Z   test_normalize_operator_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4078: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:26:19.8218566Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:26:19.8218847Z ok (0.014s)
2023-01-11T21:26:19.8219516Z   test_normalize_operator_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4022: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2023-01-11T21:26:19.8220086Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2023-01-11T21:26:19.8220361Z ok (0.036s)
2023-01-11T21:26:19.8220658Z   test_normalize_operator_exhaustive_nonzero_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8221044Z   test_normalize_operator_exhaustive_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.111s)
2023-01-11T21:26:19.8221426Z   test_normalize_operator_exhaustive_norm_fro_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8221805Z   test_normalize_operator_exhaustive_norm_inf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8222180Z   test_normalize_operator_exhaustive_norm_nuc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8222563Z   test_normalize_operator_exhaustive_normal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8222982Z   test_normalize_operator_exhaustive_normal_number_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8223383Z   test_normalize_operator_exhaustive_ones_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8223762Z   test_normalize_operator_exhaustive_ones_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8224130Z   test_normalize_operator_exhaustive_ormqr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.451s)
2023-01-11T21:26:19.8224510Z   test_normalize_operator_exhaustive_outer_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8224905Z   test_normalize_operator_exhaustive_pca_lowrank_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8225346Z   test_normalize_operator_exhaustive_permute_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2023-01-11T21:26:19.8225752Z   test_normalize_operator_exhaustive_pinverse_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8226157Z   test_normalize_operator_exhaustive_polar_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8226576Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8227030Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8227466Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8227890Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8228320Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.002s)
2023-01-11T21:26:19.8228732Z   test_normalize_operator_exhaustive_positive_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.005s)
2023-01-11T21:26:19.8229108Z   test_normalize_operator_exhaustive_pow_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8229467Z   test_normalize_operator_exhaustive_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.124s)
2023-01-11T21:26:19.8229840Z   test_normalize_operator_exhaustive_put_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.065s)
2023-01-11T21:26:19.8230346Z   test_normalize_operator_exhaustive_qr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2023-01-11T21:26:19.8230884Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2023-01-11T21:26:19.8231121Z Q, R = torch.qr(A, some)
2023-01-11T21:26:19.8231313Z should be replaced with
2023-01-11T21:26:19.8231780Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2459.)
2023-01-11T21:26:19.8232129Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8232324Z ok (0.116s)
2023-01-11T21:26:19.8232604Z   test_normalize_operator_exhaustive_quantile_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.225s)
2023-01-11T21:26:19.8232974Z   test_normalize_operator_exhaustive_rad2deg_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8233477Z   test_normalize_operator_exhaustive_rand_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8233903Z   test_normalize_operator_exhaustive_randint_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8234324Z   test_normalize_operator_exhaustive_randint_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8234727Z   test_normalize_operator_exhaustive_randn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8235146Z   test_normalize_operator_exhaustive_randn_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8235568Z   test_normalize_operator_exhaustive_ravel_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8235964Z   test_normalize_operator_exhaustive_real_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8236353Z   test_normalize_operator_exhaustive_reciprocal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8236790Z   test_normalize_operator_exhaustive_remainder_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2023-01-11T21:26:19.8237222Z   test_normalize_operator_exhaustive_renorm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2023-01-11T21:26:19.8237637Z   test_normalize_operator_exhaustive_repeat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8238045Z   test_normalize_operator_exhaustive_repeat_interleave_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2023-01-11T21:26:19.8238446Z   test_normalize_operator_exhaustive_reshape_as_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8238848Z   test_normalize_operator_exhaustive_reshape_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2023-01-11T21:26:19.8239269Z   test_normalize_operator_exhaustive_resize__cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8239673Z   test_normalize_operator_exhaustive_resize_as__cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8240056Z   test_normalize_operator_exhaustive_resolve_conj_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8240450Z   test_normalize_operator_exhaustive_resolve_neg_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8240841Z   test_normalize_operator_exhaustive_roll_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2023-01-11T21:26:19.8241222Z   test_normalize_operator_exhaustive_rot90_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.104s)
2023-01-11T21:26:19.8241588Z   test_normalize_operator_exhaustive_round_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8241983Z   test_normalize_operator_exhaustive_round_decimals_0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8242386Z   test_normalize_operator_exhaustive_round_decimals_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8242945Z   test_normalize_operator_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8243518Z   test_normalize_operator_exhaustive_rsqrt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8243897Z   test_normalize_operator_exhaustive_rsub_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8244297Z   test_normalize_operator_exhaustive_scalar_tensor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8244706Z   test_normalize_operator_exhaustive_scatter_add_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8245082Z   test_normalize_operator_exhaustive_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.096s)
2023-01-11T21:26:19.8245701Z   test_normalize_operator_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1739.)
2023-01-11T21:26:19.8246221Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8246419Z ok (0.068s)
2023-01-11T21:26:19.8246699Z   test_normalize_operator_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.068s)
2023-01-11T21:26:19.8247106Z   test_normalize_operator_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.070s)
2023-01-11T21:26:19.8247512Z   test_normalize_operator_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.068s)
2023-01-11T21:26:19.8247917Z   test_normalize_operator_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.069s)
2023-01-11T21:26:19.8249169Z   test_normalize_operator_exhaustive_searchsorted_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.)
2023-01-11T21:26:19.8249883Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8250759Z test_fx_experimental.py:1552: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.)
2023-01-11T21:26:19.8251356Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8251551Z ok (0.648s)
2023-01-11T21:26:19.8251840Z   test_normalize_operator_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.303s)
2023-01-11T21:26:19.8252261Z   test_normalize_operator_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.299s)
2023-01-11T21:26:19.8252657Z   test_normalize_operator_exhaustive_select_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2023-01-11T21:26:19.8253092Z   test_normalize_operator_exhaustive_select_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8253464Z   test_normalize_operator_exhaustive_sgn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8253947Z   test_normalize_operator_exhaustive_short_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8254348Z   test_normalize_operator_exhaustive_sigmoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8254738Z   test_normalize_operator_exhaustive_sign_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8255122Z   test_normalize_operator_exhaustive_signal_windows_bartlett_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8255537Z   test_normalize_operator_exhaustive_signal_windows_blackman_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8255954Z   test_normalize_operator_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8256373Z   test_normalize_operator_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8256775Z   test_normalize_operator_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8257199Z   test_normalize_operator_exhaustive_signal_windows_general_cosine_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8257628Z   test_normalize_operator_exhaustive_signal_windows_general_hamming_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8258049Z   test_normalize_operator_exhaustive_signal_windows_hamming_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8258443Z   test_normalize_operator_exhaustive_signal_windows_hann_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8258853Z   test_normalize_operator_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8259257Z   test_normalize_operator_exhaustive_signal_windows_nuttall_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2023-01-11T21:26:19.8259698Z   test_normalize_operator_exhaustive_signbit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8260061Z   test_normalize_operator_exhaustive_sin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8260469Z   test_normalize_operator_exhaustive_sinc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8260845Z   test_normalize_operator_exhaustive_sinh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8261377Z   test_normalize_operator_exhaustive_slice_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: normalize operator doesn't work on torch.ops (0.003s)
2023-01-11T21:26:19.8261813Z   test_normalize_operator_exhaustive_slice_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8262205Z   test_normalize_operator_exhaustive_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2023-01-11T21:26:19.8262599Z   test_normalize_operator_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2023-01-11T21:26:19.8262977Z   test_normalize_operator_exhaustive_sort_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.248s)
2023-01-11T21:26:19.8264067Z   test_normalize_operator_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:976: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T21:26:19.8264755Z   torch.eye(m, n, device=device, dtype=dtype)
2023-01-11T21:26:19.8264962Z ok (0.032s)
2023-01-11T21:26:19.8265254Z   test_normalize_operator_exhaustive_special_airy_ai_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8265647Z   test_normalize_operator_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8266058Z   test_normalize_operator_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8266459Z   test_normalize_operator_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8266846Z   test_normalize_operator_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8267265Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8267700Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8268328Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.003s)
2023-01-11T21:26:19.8269016Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2023-01-11T21:26:19.8269472Z   test_normalize_operator_exhaustive_special_entr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8269871Z   test_normalize_operator_exhaustive_special_erfcx_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8270290Z   test_normalize_operator_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8270722Z   test_normalize_operator_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8271129Z   test_normalize_operator_exhaustive_special_i0e_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8271558Z   test_normalize_operator_exhaustive_special_i1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2023-01-11T21:26:19.8272006Z   test_normalize_operator_exhaustive_special_i1e_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8272416Z   test_normalize_operator_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2023-01-11T21:26:19.8273032Z   test_normalize_operator_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2023-01-11T21:26:19.8273584Z   test_normalize_operator_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8274000Z   test_normalize_operator_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8274421Z   test_normalize_operator_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8274831Z   test_normalize_operator_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8275240Z   test_normalize_operator_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8275647Z   test_normalize_operator_exhaustive_special_ndtr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8276047Z   test_normalize_operator_exhaustive_special_ndtri_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8276477Z   test_normalize_operator_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8276934Z   test_normalize_operator_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8277370Z   test_normalize_operator_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8278013Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.003s)
2023-01-11T21:26:19.8278698Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2023-01-11T21:26:19.8279388Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2023-01-11T21:26:19.8280083Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.002s)
2023-01-11T21:26:19.8280572Z   test_normalize_operator_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8280982Z   test_normalize_operator_exhaustive_special_xlog1py_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2023-01-11T21:26:19.8281367Z   test_normalize_operator_exhaustive_special_zeta_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8281757Z   test_normalize_operator_exhaustive_split_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8282146Z   test_normalize_operator_exhaustive_split_list_args_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2023-01-11T21:26:19.8282529Z   test_normalize_operator_exhaustive_split_with_sizes_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2023-01-11T21:26:19.8282952Z   test_normalize_operator_exhaustive_sqrt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8283464Z   test_normalize_operator_exhaustive_square_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8283854Z   test_normalize_operator_exhaustive_squeeze_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2023-01-11T21:26:19.8284222Z   test_normalize_operator_exhaustive_stack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.007s)
2023-01-11T21:26:19.8284601Z   test_normalize_operator_exhaustive_std_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2023-01-11T21:26:19.8284989Z   test_normalize_operator_exhaustive_std_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2023-01-11T21:26:19.8285386Z   test_normalize_operator_exhaustive_std_mean_unbiased_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8285778Z   test_normalize_operator_exhaustive_std_unbiased_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8286625Z   test_normalize_operator_exhaustive_stft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:642: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2023-01-11T21:26:19.8287312Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2023-01-11T21:26:19.8287685Z   normalized, onesided, return_complex)
2023-01-11T21:26:19.8287865Z ok (0.034s)
2023-01-11T21:26:19.8288143Z   test_normalize_operator_exhaustive_sub_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2023-01-11T21:26:19.8288518Z   test_normalize_operator_exhaustive_sum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.076s)
2023-01-11T21:26:19.8288918Z   test_normalize_operator_exhaustive_sum_to_size_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8289301Z   test_normalize_operator_exhaustive_svd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.766s)
2023-01-11T21:26:19.8289703Z   test_normalize_operator_exhaustive_svd_lowrank_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2023-01-11T21:26:19.8290252Z   test_normalize_operator_exhaustive_symeig_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2023-01-11T21:26:19.8290873Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2023-01-11T21:26:19.8291177Z L, _ = torch.symeig(A, upper=upper)
2023-01-11T21:26:19.8291379Z should be replaced with
2023-01-11T21:26:19.8291671Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2023-01-11T21:26:19.8291867Z and
2023-01-11T21:26:19.8292056Z L, V = torch.symeig(A, eigenvectors=True)
2023-01-11T21:26:19.8292267Z should be replaced with
2023-01-11T21:26:19.8292727Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2910.)
2023-01-11T21:26:19.8293072Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8293267Z ok (0.030s)
2023-01-11T21:26:19.8293541Z   test_normalize_operator_exhaustive_t_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8293922Z   test_normalize_operator_exhaustive_take_along_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2023-01-11T21:26:19.8294308Z   test_normalize_operator_exhaustive_take_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8294749Z   test_normalize_operator_exhaustive_tan_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8295163Z   test_normalize_operator_exhaustive_tanh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8295541Z   test_normalize_operator_exhaustive_tensor_split_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2023-01-11T21:26:19.8295935Z   test_normalize_operator_exhaustive_tensordot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8296318Z   test_normalize_operator_exhaustive_tile_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.147s)
2023-01-11T21:26:19.8296714Z   test_normalize_operator_exhaustive_to_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2023-01-11T21:26:19.8297115Z   test_normalize_operator_exhaustive_to_sparse_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8297514Z   test_normalize_operator_exhaustive_topk_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.046s)
2023-01-11T21:26:19.8297889Z   test_normalize_operator_exhaustive_trace_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8298262Z   test_normalize_operator_exhaustive_transpose_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8298649Z   test_normalize_operator_exhaustive_trapezoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8299032Z   test_normalize_operator_exhaustive_trapz_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2023-01-11T21:26:19.8299598Z   test_normalize_operator_exhaustive_triangular_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1552: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2023-01-11T21:26:19.8300153Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2023-01-11T21:26:19.8300438Z X = torch.triangular_solve(B, A).solution
2023-01-11T21:26:19.8300647Z should be replaced with
2023-01-11T21:26:19.8300991Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2225.)
2023-01-11T21:26:19.8301323Z   ref_out = op.op(*arg_values, **kwarg_values)
2023-01-11T21:26:19.8301517Z ok (0.045s)
2023-01-11T21:26:19.8301797Z   test_normalize_operator_exhaustive_tril_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8302163Z   test_normalize_operator_exhaustive_triu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8302544Z   test_normalize_operator_exhaustive_true_divide_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2023-01-11T21:26:19.8302931Z   test_normalize_operator_exhaustive_trunc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.007s)
2023-01-11T21:26:19.8303318Z   test_normalize_operator_exhaustive_unbind_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8303690Z   test_normalize_operator_exhaustive_unflatten_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8304079Z   test_normalize_operator_exhaustive_unfold_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.069s)
2023-01-11T21:26:19.8304477Z   test_normalize_operator_exhaustive_unfold_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8304891Z   test_normalize_operator_exhaustive_uniform_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8305303Z   test_normalize_operator_exhaustive_unique_consecutive_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8305722Z   test_normalize_operator_exhaustive_unique_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.003s)
2023-01-11T21:26:19.8306159Z   test_normalize_operator_exhaustive_unsqueeze_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2023-01-11T21:26:19.8306569Z   test_normalize_operator_exhaustive_var_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.039s)
2023-01-11T21:26:19.8306939Z   test_normalize_operator_exhaustive_var_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2023-01-11T21:26:19.8307331Z   test_normalize_operator_exhaustive_var_mean_unbiased_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8307731Z   test_normalize_operator_exhaustive_var_unbiased_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.011s)
2023-01-11T21:26:19.8308114Z   test_normalize_operator_exhaustive_vdot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8308488Z   test_normalize_operator_exhaustive_view_as_complex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.006s)
2023-01-11T21:26:19.8308896Z   test_normalize_operator_exhaustive_view_as_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8309297Z   test_normalize_operator_exhaustive_view_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2023-01-11T21:26:19.8309693Z   test_normalize_operator_exhaustive_view_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2023-01-11T21:26:19.8310073Z   test_normalize_operator_exhaustive_vsplit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8310452Z   test_normalize_operator_exhaustive_vstack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.004s)
2023-01-11T21:26:19.8310854Z   test_normalize_operator_exhaustive_where_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... Traceback (most recent call last):
2023-01-11T21:26:19.8311308Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py", line 269, in __call__
2023-01-11T21:26:19.8311626Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2023-01-11T21:26:19.8312024Z   File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1482, in _call_impl
2023-01-11T21:26:19.8312306Z     return forward_call(*args, **kwargs)
2023-01-11T21:26:19.8312520Z   File "<eval_with_key>.24550", line 5, in forward
2023-01-11T21:26:19.8312772Z     where = torch.where(arg_0, arg_1, arg_2);  arg_0 = arg_1 = arg_2 = None
2023-01-11T21:26:19.8313089Z RuntimeError: where expected condition to be a boolean tensor, but got a tensor with dtype Float
2023-01-11T21:26:19.8313345Z 
2023-01-11T21:26:19.8313582Z Call using an FX-traced Module, line 5 of the traced Module's generated forward function:
2023-01-11T21:26:19.8313845Z def forward(self, arg_0, arg_1, arg_2):
2023-01-11T21:26:19.8314093Z     where = torch.where(arg_0, arg_1, arg_2);  arg_0 = arg_1 = arg_2 = None
2023-01-11T21:26:19.8314245Z 
2023-01-11T21:26:19.8314417Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
2023-01-11T21:26:19.8314604Z     return where
2023-01-11T21:26:19.8314709Z 
2023-01-11T21:26:19.8314771Z     
2023-01-11T21:26:19.8314865Z 
2023-01-11T21:26:19.8314950Z expected failure (0.009s)
2023-01-11T21:26:19.8315241Z   test_normalize_operator_exhaustive_xlogy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2023-01-11T21:26:19.8315624Z   test_normalize_operator_exhaustive_zero__cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2023-01-11T21:26:19.8316008Z   test_normalize_operator_exhaustive_zeros_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2023-01-11T21:26:19.8316388Z   test_normalize_operator_exhaustive_zeros_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2023-01-11T21:26:19.8316738Z   test_normalize_quantized_eb_cpu (__main__.TestNormalizeOperatorsCPU) ... ok (0.002s)
2023-01-11T21:26:19.8316923Z 
2023-01-11T21:26:19.8317122Z ----------------------------------------------------------------------
2023-01-11T21:26:19.8317405Z Ran 672 tests in 55.292s
2023-01-11T21:26:19.8317518Z 
2023-01-11T21:26:19.8317620Z OK (skipped=24, expected failures=107)
2023-01-11T21:26:19.8317740Z 
2023-01-11T21:26:19.8317856Z Generating XML reports...
2023-01-11T21:26:19.8318288Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20230111212523.xml
2023-01-11T21:26:19.8318860Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestNormalizeOperatorsCPU-20230111212523.xml
2023-01-11T21:26:19.8319120Z 
2023-01-11T21:26:19.8319408Z ##[endgroup]
2023-01-11T21:26:19.8319809Z FINISHED PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_cwphhvt7)
2023-01-11T21:26:19.8320039Z 
2023-01-11T21:26:21.6022246Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:26:21.7395077Z Ignoring disabled issues:  []
2023-01-11T21:26:21.7550447Z Running test_functional_autograd_benchmark ... [2023-01-11 21:26:21.754768]
2023-01-11T21:26:21.7552745Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:26:21.755065]
2023-01-11T21:27:01.3106763Z 
2023-01-11T21:27:01.3107348Z Expand the folded group to see the log file of test_functional_autograd_benchmark
2023-01-11T21:27:01.3108377Z ##[group]PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_xgwli2d7)
2023-01-11T21:27:01.3111351Z Test results will be stored in test-reports/python-unittest/test_functional_autograd_benchmark
2023-01-11T21:27:01.3111690Z 
2023-01-11T21:27:01.3111756Z Running tests...
2023-01-11T21:27:01.3112076Z ----------------------------------------------------------------------
2023-01-11T21:27:01.3112540Z   test_fast_tasks (__main__.TestFunctionalAutogradBenchmark) ... Found functorch: 2.0.0a0+git8419ddd
2023-01-11T21:27:01.3113172Z Results for model resnet18 on task vjp: nans (var: nan)
2023-01-11T21:27:01.3113585Z Results for model resnet18 on task vjp using Functorch: nans (var: nan)
2023-01-11T21:27:01.3113978Z Found functorch: 2.0.0a0+git8419ddd
2023-01-11T21:27:01.3114370Z Results for model ppl_simple_reg on task vjp: nans (var: nan)
2023-01-11T21:27:01.3114899Z Results for model ppl_simple_reg on task vjp using Functorch: nans (var: nan)
2023-01-11T21:27:01.3115297Z Found functorch: 2.0.0a0+git8419ddd
2023-01-11T21:27:01.3115541Z Results for model ppl_robust_reg on task vjp: nans (var: nan)
2023-01-11T21:27:01.3194789Z Results for model ppl_robust_reg on task vjp using Functorch: nans (var: nan)
2023-01-11T21:27:01.3195224Z Found functorch: 2.0.0a0+git8419ddd
2023-01-11T21:27:01.3195638Z Results for model wav2letter on task vjp: nans (var: nan)
2023-01-11T21:27:01.3196163Z Results for model wav2letter on task vjp using Functorch: nans (var: nan)
2023-01-11T21:27:01.3196591Z Found functorch: 2.0.0a0+git8419ddd
2023-01-11T21:27:01.3197031Z Results for model transformer on task vjp: nans (var: nan)
2023-01-11T21:27:01.3197319Z Results for model transformer on task vjp using Functorch: nans (var: nan)
2023-01-11T21:27:01.3197575Z Found functorch: 2.0.0a0+git8419ddd
2023-01-11T21:27:01.3197816Z Results for model multiheadattn on task vjp: nans (var: nan)
2023-01-11T21:27:01.3198110Z Results for model multiheadattn on task vjp using Functorch: nans (var: nan)
2023-01-11T21:27:01.3198345Z ok (38.027s)
2023-01-11T21:27:01.3198659Z   test_slow_tasks (__main__.TestFunctionalAutogradBenchmark) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:27:01.3198902Z 
2023-01-11T21:27:01.3199167Z ----------------------------------------------------------------------
2023-01-11T21:27:01.3199410Z Ran 2 tests in 38.028s
2023-01-11T21:27:01.3199525Z 
2023-01-11T21:27:01.3199583Z OK (skipped=1)
2023-01-11T21:27:01.3199690Z 
2023-01-11T21:27:01.3199774Z Generating XML reports...
2023-01-11T21:27:01.3200476Z Generated XML report: test-reports/python-unittest/test_functional_autograd_benchmark/TEST-TestFunctionalAutogradBenchmark-20230111212622.xml
2023-01-11T21:27:01.3200770Z 
2023-01-11T21:27:01.3201110Z ##[endgroup]
2023-01-11T21:27:01.3201615Z FINISHED PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_xgwli2d7)
2023-01-11T21:27:01.3201874Z 
2023-01-11T21:27:03.1549946Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:27:03.2997815Z Ignoring disabled issues:  []
2023-01-11T21:27:03.3154635Z Running dynamo/test_minifier ... [2023-01-11 21:27:03.315185]
2023-01-11T21:27:03.3156823Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:27:03.315460]
2023-01-11T21:27:40.3879840Z 
2023-01-11T21:27:40.3880394Z Expand the folded group to see the log file of dynamo/test_minifier
2023-01-11T21:27:40.3881624Z ##[group]PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_vp7obfjp)
2023-01-11T21:27:40.3884670Z Test results will be stored in test-reports/python-unittest/dynamo.test_minifier
2023-01-11T21:27:40.3885032Z 
2023-01-11T21:27:40.3885111Z Running tests...
2023-01-11T21:27:40.3885478Z ----------------------------------------------------------------------
2023-01-11T21:27:40.3885807Z   test_after_dynamo_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (1.692s)
2023-01-11T21:27:40.3886125Z   test_after_dynamo_cpu_accuracy_error (__main__.MinifierTests) ... ok (4.504s)
2023-01-11T21:27:40.3886627Z   test_after_dynamo_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (1.452s)
2023-01-11T21:27:40.3887218Z   test_after_dynamo_cpu_compile_error (__main__.MinifierTests) ... ok (4.431s)
2023-01-11T21:27:40.3887623Z   test_after_dynamo_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (1.419s)
2023-01-11T21:27:40.3887924Z   test_after_dynamo_cpu_runtime_error (__main__.MinifierTests) ... ok (4.292s)
2023-01-11T21:27:40.3888269Z   test_after_dynamo_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2023-01-11T21:27:40.3888626Z   test_after_dynamo_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2023-01-11T21:27:40.3888982Z   test_after_dynamo_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2023-01-11T21:27:40.3889320Z   test_after_dynamo_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2023-01-11T21:27:40.3889669Z   test_after_dynamo_cuda_runtime_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2023-01-11T21:27:40.3890015Z   test_after_dynamo_cuda_runtime_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2023-01-11T21:27:40.3890313Z   test_after_dynamo_custom_backend (__main__.MinifierTests) ... ok (2.850s)
2023-01-11T21:27:40.3924993Z   test_after_dynamo_with_modified_config_cpu_accuracy_error (__main__.MinifierTests) ... ok (4.507s)
2023-01-11T21:27:40.3925576Z   test_after_dynamo_with_modified_config_cpu_compile_error (__main__.MinifierTests) ... ok (4.405s)
2023-01-11T21:27:40.3926151Z   test_cpu_cuda_module_after_dynamo (__main__.MinifierTests) ... skip: requires cuda (0.001s)
2023-01-11T21:27:40.3926691Z   test_dynamo_config_serialization (__main__.MinifierTests) ... ok (1.372s)
2023-01-11T21:27:40.3927227Z   test_if_graph_minified (__main__.MinifierTests) ... ok (4.469s)
2023-01-11T21:27:40.3927461Z 
2023-01-11T21:27:40.3927736Z ----------------------------------------------------------------------
2023-01-11T21:27:40.3927986Z Ran 18 tests in 35.404s
2023-01-11T21:27:40.3928087Z 
2023-01-11T21:27:40.3928161Z OK (skipped=7)
2023-01-11T21:27:40.3928270Z 
2023-01-11T21:27:40.3928356Z Generating XML reports...
2023-01-11T21:27:40.3928788Z Generated XML report: test-reports/python-unittest/dynamo.test_minifier/TEST-MinifierTests-20230111212704.xml
2023-01-11T21:27:40.3929196Z 
2023-01-11T21:27:40.3929568Z ##[endgroup]
2023-01-11T21:27:40.3930171Z FINISHED PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_vp7obfjp)
2023-01-11T21:27:40.3930608Z 
2023-01-11T21:27:42.2132711Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:27:42.3551545Z Ignoring disabled issues:  []
2023-01-11T21:27:42.3707162Z Running test_tensorboard ... [2023-01-11 21:27:42.370413]
2023-01-11T21:27:42.3708534Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorboard.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:27:42.370651]
2023-01-11T21:28:16.3944172Z 
2023-01-11T21:28:16.3944642Z Expand the folded group to see the log file of test_tensorboard
2023-01-11T21:28:16.3945428Z ##[group]PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_iiwf23r7)
2023-01-11T21:28:16.3947939Z Test results will be stored in test-reports/python-unittest/test_tensorboard
2023-01-11T21:28:16.3948214Z 
2023-01-11T21:28:16.3948320Z Running tests...
2023-01-11T21:28:16.3948669Z ----------------------------------------------------------------------
2023-01-11T21:28:16.3949075Z   test_embedding (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2023-01-11T21:28:16.3949394Z ok (0.031s)
2023-01-11T21:28:16.3949702Z   test_embedding_64 (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2023-01-11T21:28:16.3952815Z ok (0.007s)
2023-01-11T21:28:16.3953386Z   test_figure (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2023-01-11T21:28:16.3953846Z   test_figure_list (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2023-01-11T21:28:16.3954177Z   test_caffe2_np (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2023-01-11T21:28:16.3954494Z   test_caffe2_np_expect_fail (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2023-01-11T21:28:16.3954839Z   test_caffe2_simple_cnnmodel (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s)
2023-01-11T21:28:16.4016666Z   test_caffe2_simple_model (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s)
2023-01-11T21:28:16.4017172Z   test_pytorch_np_expect_fail (__main__.TestTensorBoardNumpy) ... ok (0.000s)
2023-01-11T21:28:16.4017560Z   test_scalar (__main__.TestTensorBoardNumpy) ... ok (0.001s)
2023-01-11T21:28:16.4017863Z   test_pytorch_autograd_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.000s)
2023-01-11T21:28:16.4018192Z   test_pytorch_histogram (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.003s)
2023-01-11T21:28:16.4018682Z   test_pytorch_histogram_raw (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.005s)
2023-01-11T21:28:16.4019209Z   test_pytorch_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.001s)
2023-01-11T21:28:16.4019744Z   test_pytorch_write (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.001s)
2023-01-11T21:28:16.4020270Z   test_mlp_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.104s)
2023-01-11T21:28:16.4020593Z   test_nested_nn_squential (__main__.TestTensorBoardPytorchGraph) ... ok (0.070s)
2023-01-11T21:28:16.4020921Z   test_pytorch_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.019s)
2023-01-11T21:28:16.4022000Z   test_pytorch_graph_dict_input (__main__.TestTensorBoardPytorchGraph) ... Encountering a dict at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior.
2023-01-11T21:28:16.4022670Z Error occurs, No graph saved
2023-01-11T21:28:16.4022844Z ok (0.030s)
2023-01-11T21:28:16.4023094Z   test_torchvision_smoke (__main__.TestTensorBoardPytorchGraph) ... ok (31.226s)
2023-01-11T21:28:16.4023661Z   test_wrong_input_size (__main__.TestTensorBoardPytorchGraph) ... mat1 and mat2 shapes cannot be multiplied (1x9 and 3x5)
2023-01-11T21:28:16.4023961Z Error occurs, No graph saved
2023-01-11T21:28:16.4024131Z ok (0.013s)
2023-01-11T21:28:16.4024460Z   test_audio (__main__.TestTensorBoardSummary) ... warning: audio amplitude out of range, auto clipped.
2023-01-11T21:28:16.4024721Z ok (0.014s)
2023-01-11T21:28:16.4024940Z   test_custom_scalars (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4025248Z   test_empty_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2023-01-11T21:28:16.4025533Z   test_float32_image (__main__.TestTensorBoardSummary)
2023-01-11T21:28:16.4025826Z Tests that float32 image (pixel values in [0, 1]) are scaled correctly ... ok (0.001s)
2023-01-11T21:28:16.4026120Z   test_histogram_auto (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4026417Z   test_histogram_doane (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4026713Z   test_histogram_fd (__main__.TestTensorBoardSummary) ... ok (0.002s)
2023-01-11T21:28:16.4026990Z   test_hparams_bool (__main__.TestTensorBoardSummary) ... ok (0.008s)
2023-01-11T21:28:16.4027296Z   test_hparams_domain_discrete (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4027599Z   test_hparams_number (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4027880Z   test_hparams_smoke (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4028176Z   test_hparams_string (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4028543Z   test_hparams_wrong_parameter (__main__.TestTensorBoardSummary) ... parameter: hparam_dict should be a dictionary, nothing logged.
2023-01-11T21:28:16.4028891Z parameter: metric_dict should be a dictionary, nothing logged.
2023-01-11T21:28:16.4029096Z ok (0.003s)
2023-01-11T21:28:16.4029340Z   test_image_with_3_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.002s)
2023-01-11T21:28:16.4034709Z   test_image_with_boxes (__main__.TestTensorBoardSummary) ... ok (0.002s)
2023-01-11T21:28:16.4035062Z   test_image_with_one_channel (__main__.TestTensorBoardSummary) ... ok (0.002s)
2023-01-11T21:28:16.4035425Z   test_image_with_one_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4035748Z   test_image_without_channel (__main__.TestTensorBoardSummary) ... ok (0.002s)
2023-01-11T21:28:16.4036052Z   test_list_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2023-01-11T21:28:16.4036320Z   test_mesh (__main__.TestTensorBoardSummary) ... ok (0.007s)
2023-01-11T21:28:16.4036604Z   test_scalar_new_style (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4036889Z   test_text (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4037141Z   test_uint8_image (__main__.TestTensorBoardSummary)
2023-01-11T21:28:16.4037423Z Tests that uint8 image (pixel values in [0, 255]) is not changed ... ok (0.001s)
2023-01-11T21:28:16.4037709Z   test_video (__main__.TestTensorBoardSummary) ... ok (0.001s)
2023-01-11T21:28:16.4037986Z   test_pathlib (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2023-01-11T21:28:16.4038312Z   test_summary_writer_close (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2023-01-11T21:28:16.4038643Z   test_summary_writer_ctx (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2023-01-11T21:28:16.4038964Z   test_convert_to_HWC_dtype_remains_same (__main__.TestTensorBoardUtils) ... ok (0.001s)
2023-01-11T21:28:16.4039259Z   test_numpy_vid_uint8 (__main__.TestTensorBoardUtils) ... ok (0.014s)
2023-01-11T21:28:16.4039551Z   test_prepare_video (__main__.TestTensorBoardUtils) ... ok (0.084s)
2023-01-11T21:28:16.4039828Z   test_to_HWC (__main__.TestTensorBoardUtils) ... ok (0.001s)
2023-01-11T21:28:16.4040114Z   test_writer (__main__.TestTensorBoardWriter) ... add_video needs package moviepy
2023-01-11T21:28:16.4040350Z ok (0.049s)
2023-01-11T21:28:16.4040449Z 
2023-01-11T21:28:16.4040691Z ----------------------------------------------------------------------
2023-01-11T21:28:16.4041018Z Ran 53 tests in 31.725s
2023-01-11T21:28:16.4041120Z 
2023-01-11T21:28:16.4041191Z OK (skipped=6)
2023-01-11T21:28:16.4041296Z 
2023-01-11T21:28:16.4041379Z Generating XML reports...
2023-01-11T21:28:16.4041873Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20230111212744.xml
2023-01-11T21:28:16.4042417Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20230111212744.xml
2023-01-11T21:28:16.4042976Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20230111212744.xml
2023-01-11T21:28:16.4084999Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20230111212744.xml
2023-01-11T21:28:16.4085579Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20230111212744.xml
2023-01-11T21:28:16.4086150Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20230111212744.xml
2023-01-11T21:28:16.4086704Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20230111212744.xml
2023-01-11T21:28:16.4087235Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20230111212744.xml
2023-01-11T21:28:16.4087763Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20230111212744.xml
2023-01-11T21:28:16.4088008Z 
2023-01-11T21:28:16.4088335Z ##[endgroup]
2023-01-11T21:28:16.4088728Z FINISHED PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_iiwf23r7)
2023-01-11T21:28:16.4088951Z 
2023-01-11T21:28:18.2827575Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:28:18.4201065Z Ignoring disabled issues:  []
2023-01-11T21:28:18.4357691Z Running test_serialization ... [2023-01-11 21:28:18.435476]
2023-01-11T21:28:18.4359667Z Executing ['/opt/conda/bin/python', '-bb', 'test_serialization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:28:18.435731]
2023-01-11T21:28:49.9865609Z 
2023-01-11T21:28:49.9866677Z Expand the folded group to see the log file of test_serialization
2023-01-11T21:28:49.9869078Z ##[group]PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_13ickiw0)
2023-01-11T21:28:49.9869880Z Test results will be stored in test-reports/python-unittest/test_serialization
2023-01-11T21:28:49.9870063Z 
2023-01-11T21:28:49.9870139Z Running tests...
2023-01-11T21:28:49.9870502Z ----------------------------------------------------------------------
2023-01-11T21:28:49.9872935Z   test_serialization_new_format_old_format_compat_cpu (__main__.TestBothSerializationCPU) ... ok (0.070s)
2023-01-11T21:28:49.9874283Z   test_serialization_new_format_old_format_compat_safe_cpu (__main__.TestBothSerializationCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9875155Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:28:49.9875452Z ok (0.065s)
2023-01-11T21:28:49.9875759Z   test_load_error_msg (__main__.TestOldSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9876070Z   test_load_nonexistent_device (__main__.TestOldSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9876383Z   test_load_python2_unicode_module (__main__.TestOldSerialization) ... ok (0.075s)
2023-01-11T21:28:49.9878493Z   test_load_unicode_error_msg (__main__.TestOldSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9879747Z   test_save_different_dtype_error (__main__.TestOldSerialization) ... test_serialization.py:719: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9880811Z   torch.save([a.storage(), a.imag], f)
2023-01-11T21:28:49.9881368Z test_serialization.py:722: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9881856Z   torch.save([a, a.imag.storage()], f)
2023-01-11T21:28:49.9882364Z test_serialization.py:725: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9882977Z   torch.save([a.storage(), a.imag.storage()], f)
2023-01-11T21:28:49.9883855Z test_serialization.py:729: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9884625Z   wrap_storage=a.storage().untyped(),
2023-01-11T21:28:49.9885575Z test_serialization.py:730: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9886054Z   dtype=torch.uint8)
2023-01-11T21:28:49.9886534Z test_serialization.py:736: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9887024Z   torch.save([a.storage(), s_bytes], f)
2023-01-11T21:28:49.9887220Z ok (0.002s)
2023-01-11T21:28:49.9887785Z   test_save_different_dtype_unallocated (__main__.TestOldSerialization) ... test_serialization.py:697: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9891320Z   wrap_storage=a.storage().untyped(),
2023-01-11T21:28:49.9892213Z test_serialization.py:698: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9892996Z   dtype=other_dtype)
2023-01-11T21:28:49.9894176Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9894769Z   device=typed_storage.device,
2023-01-11T21:28:49.9895320Z test_serialization.py:700: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9895934Z   save_load_check(a.storage(), s)
2023-01-11T21:28:49.9896161Z ok (0.189s)
2023-01-11T21:28:49.9896762Z   test_serialization (__main__.TestOldSerialization) ... test_serialization.py:85: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9897307Z   b += [a[0].storage()]  # 4
2023-01-11T21:28:49.9899643Z test_serialization.py:86: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9900608Z   b += [a[0].reshape(-1)[1:4].storage()]  # 5
2023-01-11T21:28:49.9901123Z test_serialization.py:88: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9901890Z   t1 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9902441Z test_serialization.py:89: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9903036Z   t2 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9903574Z test_serialization.py:90: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9904065Z   b += [(t1.storage(), t1.storage(), t2.storage())]  # 7
2023-01-11T21:28:49.9904594Z test_serialization.py:91: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9905120Z   b += [a[0].reshape(-1)[0:2].storage()]  # 8
2023-01-11T21:28:49.9905630Z test_serialization.py:104: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9906157Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:49.9906697Z test_serialization.py:110: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9907173Z   self.assertEqual(c[4][i + 1], c[5][i])
2023-01-11T21:28:49.9907671Z test_serialization.py:120: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9908179Z   self.assertEqual(rootview.data_ptr(), c[0].data_ptr())
2023-01-11T21:28:49.9911839Z ok (0.008s)
2023-01-11T21:28:49.9912890Z   test_serialization_backwards_compat (__main__.TestOldSerialization) ... test_serialization.py:403: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9913650Z   b += [a[0].storage()]
2023-01-11T21:28:49.9914136Z test_serialization.py:404: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9914720Z   b += [a[0].reshape(-1)[1:4].clone().storage()]
2023-01-11T21:28:49.9915239Z test_serialization.py:416: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9915930Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:49.9916476Z test_serialization.py:426: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9917212Z   return (self.new_tensor.storage(),
2023-01-11T21:28:49.9918022Z test_serialization.py:446: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9918786Z   self.assertEqual(x.storage(), load_x.storage())
2023-01-11T21:28:49.9919068Z ok (0.021s)
2023-01-11T21:28:49.9919937Z   test_serialization_backwards_compat_safe (__main__.TestOldSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9920544Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:28:49.9920768Z ok (0.006s)
2023-01-11T21:28:49.9921133Z   test_serialization_container (__main__.TestOldSerialization) ... ok (0.009s)
2023-01-11T21:28:49.9921457Z   test_serialization_container_filelike (__main__.TestOldSerialization) ... ok (0.006s)
2023-01-11T21:28:49.9921827Z   test_serialization_dill (__main__.TestOldSerialization) ... skip: "dill" not found or not correct version (0.001s)
2023-01-11T21:28:49.9922450Z   test_serialization_dill_version_not_supported (__main__.TestOldSerialization) ... skip: "dill" not found or is correct version (0.000s)
2023-01-11T21:28:49.9923040Z   test_serialization_fake_zip (__main__.TestOldSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9924211Z   test_serialization_filelike (__main__.TestOldSerialization) ... test_serialization.py:85: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9925147Z   b += [a[0].storage()]  # 4
2023-01-11T21:28:49.9925942Z test_serialization.py:86: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9927036Z   b += [a[0].reshape(-1)[1:4].storage()]  # 5
2023-01-11T21:28:49.9927609Z test_serialization.py:88: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9928202Z   t1 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9928745Z test_serialization.py:89: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9929342Z   t2 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9929890Z test_serialization.py:90: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9930391Z   b += [(t1.storage(), t1.storage(), t2.storage())]  # 7
2023-01-11T21:28:49.9930888Z test_serialization.py:91: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9931414Z   b += [a[0].reshape(-1)[0:2].storage()]  # 8
2023-01-11T21:28:49.9932205Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9932747Z   device=typed_storage.device,
2023-01-11T21:28:49.9933258Z test_serialization.py:104: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9933773Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:49.9934322Z test_serialization.py:110: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9934804Z   self.assertEqual(c[4][i + 1], c[5][i])
2023-01-11T21:28:49.9935310Z test_serialization.py:120: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9935899Z   self.assertEqual(rootview.data_ptr(), c[0].data_ptr())
2023-01-11T21:28:49.9936115Z ok (0.003s)
2023-01-11T21:28:49.9936369Z   test_serialization_filelike_api_requirements (__main__.TestOldSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9937027Z   test_serialization_filelike_exceptions (__main__.TestOldSerialization) ... test_serialization.py:616: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9937617Z   s = torch.CharStorage(s_data)
2023-01-11T21:28:49.9937805Z ok (0.001s)
2023-01-11T21:28:49.9938085Z   test_serialization_filelike_missing_attrs (__main__.TestOldSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9938426Z   test_serialization_filelike_stress (__main__.TestOldSerialization) ... ok (0.348s)
2023-01-11T21:28:49.9938767Z   test_serialization_filelike_uses_readinto (__main__.TestOldSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9939088Z   test_serialization_gzip (__main__.TestOldSerialization) ... ok (0.004s)
2023-01-11T21:28:49.9939390Z   test_serialization_map_location (__main__.TestOldSerialization) ... ok (0.018s)
2023-01-11T21:28:49.9939704Z   test_serialization_offset (__main__.TestOldSerialization) ... ok (6.737s)
2023-01-11T21:28:49.9940050Z   test_serialization_offset_filelike_weights_only_False (__main__.TestOldSerialization) ... ok (6.894s)
2023-01-11T21:28:49.9941035Z   test_serialization_offset_filelike_weights_only_True (__main__.TestOldSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9941633Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:28:49.9941833Z ok (6.901s)
2023-01-11T21:28:49.9942080Z   test_serialization_offset_gzip (__main__.TestOldSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9942378Z   test_serialization_safe (__main__.TestOldSerialization) ... ok (0.008s)
2023-01-11T21:28:49.9942691Z   test_serialization_save_warnings (__main__.TestOldSerialization) ... ok (0.003s)
2023-01-11T21:28:49.9943318Z   test_serialization_sparse (__main__.TestOldSerialization) ... test_serialization.py:85: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9943849Z   b += [a[0].storage()]  # 4
2023-01-11T21:28:49.9944343Z test_serialization.py:86: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9944859Z   b += [a[0].reshape(-1)[1:4].storage()]  # 5
2023-01-11T21:28:49.9945367Z test_serialization.py:88: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9945964Z   t1 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9946512Z test_serialization.py:89: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9947110Z   t2 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9947631Z test_serialization.py:90: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9948163Z   b += [(t1.storage(), t1.storage(), t2.storage())]  # 7
2023-01-11T21:28:49.9948708Z test_serialization.py:91: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9949238Z   b += [a[0].reshape(-1)[0:2].storage()]  # 8
2023-01-11T21:28:49.9950029Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9950550Z   device=typed_storage.device,
2023-01-11T21:28:49.9951052Z test_serialization.py:104: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9951583Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:49.9952121Z test_serialization.py:110: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9952602Z   self.assertEqual(c[4][i + 1], c[5][i])
2023-01-11T21:28:49.9953085Z test_serialization.py:120: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9953699Z   self.assertEqual(rootview.data_ptr(), c[0].data_ptr())
2023-01-11T21:28:49.9953914Z ok (0.007s)
2023-01-11T21:28:49.9954510Z   test_serialization_sparse_bsc_invalid (__main__.TestOldSerialization) ... test_serialization.py:391: UserWarning: Sparse BSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T21:28:49.9955131Z   lambda x: x.to_sparse_bsc(1, 1), torch.Tensor.ccol_indices, torch.Tensor.row_indices)
2023-01-11T21:28:49.9955480Z /opt/conda/lib/python3.7/unittest/case.py:144: FutureWarning: Possible nested set at position 14
2023-01-11T21:28:49.9955783Z   expected_regex = re.compile(expected_regex)
2023-01-11T21:28:49.9955992Z ok (0.007s)
2023-01-11T21:28:49.9956233Z   test_serialization_sparse_bsr_invalid (__main__.TestOldSerialization) ... ok (0.006s)
2023-01-11T21:28:49.9956572Z   test_serialization_sparse_csc_invalid (__main__.TestOldSerialization) ... ok (0.006s)
2023-01-11T21:28:49.9956906Z   test_serialization_sparse_csr_invalid (__main__.TestOldSerialization) ... ok (0.006s)
2023-01-11T21:28:49.9957223Z   test_serialization_sparse_invalid (__main__.TestOldSerialization) ... ok (0.004s)
2023-01-11T21:28:49.9958149Z   test_serialization_sparse_safe (__main__.TestOldSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9958738Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:28:49.9958938Z ok (0.008s)
2023-01-11T21:28:49.9959559Z   test_serialization_storage_slice (__main__.TestOldSerialization) ... test_serialization.py:651: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9960109Z   self.assertEqual(s1[0], 0)
2023-01-11T21:28:49.9960613Z test_serialization.py:652: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9961082Z   self.assertEqual(s2[0], 0)
2023-01-11T21:28:49.9961583Z test_serialization.py:653: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9962065Z   self.assertEqual(s1.data_ptr() + 4, s2.data_ptr())
2023-01-11T21:28:49.9962274Z ok (0.001s)
2023-01-11T21:28:49.9962525Z   test_serialization_zipfile_utils (__main__.TestOldSerialization) ... ok (0.004s)
2023-01-11T21:28:49.9962824Z   test_serialize_device (__main__.TestOldSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9963112Z   test_load_error_msg (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9963548Z   test_load_nonexistent_device (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9963995Z   test_load_python2_unicode_module (__main__.TestSerialization) ... ok (0.003s)
2023-01-11T21:28:49.9964289Z   test_load_unicode_error_msg (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9964610Z   test_meta_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9964948Z   test_meta_serialization_weights_only_True (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9965277Z   test_pathlike_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.007s)
2023-01-11T21:28:49.9966234Z   test_pathlike_serialization_weights_only_True (__main__.TestSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9966837Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:28:49.9967035Z ok (0.006s)
2023-01-11T21:28:49.9967588Z   test_save_different_dtype_error (__main__.TestSerialization) ... test_serialization.py:719: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9968122Z   torch.save([a.storage(), a.imag], f)
2023-01-11T21:28:49.9968629Z test_serialization.py:722: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9969110Z   torch.save([a, a.imag.storage()], f)
2023-01-11T21:28:49.9969612Z test_serialization.py:725: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9970190Z   torch.save([a.storage(), a.imag.storage()], f)
2023-01-11T21:28:49.9970738Z test_serialization.py:729: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9971221Z   wrap_storage=a.storage().untyped(),
2023-01-11T21:28:49.9971729Z test_serialization.py:730: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9972186Z   dtype=torch.uint8)
2023-01-11T21:28:49.9972664Z test_serialization.py:736: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9973147Z   torch.save([a.storage(), s_bytes], f)
2023-01-11T21:28:49.9973342Z ok (0.002s)
2023-01-11T21:28:49.9973945Z   test_save_different_dtype_unallocated (__main__.TestSerialization) ... test_serialization.py:697: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9974496Z   wrap_storage=a.storage().untyped(),
2023-01-11T21:28:49.9974986Z test_serialization.py:698: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9975443Z   dtype=other_dtype)
2023-01-11T21:28:49.9976232Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9976771Z   device=typed_storage.device,
2023-01-11T21:28:49.9977262Z test_serialization.py:700: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9977735Z   save_load_check(a.storage(), s)
2023-01-11T21:28:49.9977926Z ok (0.207s)
2023-01-11T21:28:49.9978457Z   test_serialization (__main__.TestSerialization) ... test_serialization.py:85: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9978967Z   b += [a[0].storage()]  # 4
2023-01-11T21:28:49.9979446Z test_serialization.py:86: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9980071Z   b += [a[0].reshape(-1)[1:4].storage()]  # 5
2023-01-11T21:28:49.9980580Z test_serialization.py:88: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9981271Z   t1 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9981804Z test_serialization.py:89: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9982397Z   t2 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:49.9982932Z test_serialization.py:90: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9983420Z   b += [(t1.storage(), t1.storage(), t2.storage())]  # 7
2023-01-11T21:28:49.9983926Z test_serialization.py:91: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9984446Z   b += [a[0].reshape(-1)[0:2].storage()]  # 8
2023-01-11T21:28:49.9984955Z test_serialization.py:104: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9985485Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:49.9986029Z test_serialization.py:110: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9986512Z   self.assertEqual(c[4][i + 1], c[5][i])
2023-01-11T21:28:49.9986993Z test_serialization.py:120: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9987503Z   self.assertEqual(rootview.data_ptr(), c[0].data_ptr())
2023-01-11T21:28:49.9987717Z ok (0.007s)
2023-01-11T21:28:49.9987951Z   test_serialization_2gb_file (__main__.TestSerialization) ... ok (7.540s)
2023-01-11T21:28:49.9988556Z   test_serialization_backwards_compat (__main__.TestSerialization) ... test_serialization.py:403: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9989073Z   b += [a[0].storage()]
2023-01-11T21:28:49.9989558Z test_serialization.py:404: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9990088Z   b += [a[0].reshape(-1)[1:4].clone().storage()]
2023-01-11T21:28:49.9990599Z test_serialization.py:416: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9991189Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:49.9991733Z test_serialization.py:426: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9992207Z   return (self.new_tensor.storage(),
2023-01-11T21:28:49.9992705Z test_serialization.py:446: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9993190Z   self.assertEqual(x.storage(), load_x.storage())
2023-01-11T21:28:49.9993470Z ok (0.005s)
2023-01-11T21:28:49.9993723Z   test_serialization_backwards_compat_safe (__main__.TestSerialization) ... ok (0.004s)
2023-01-11T21:28:49.9994083Z   test_serialization_dill (__main__.TestSerialization) ... skip: "dill" not found or not correct version (0.001s)
2023-01-11T21:28:49.9994467Z   test_serialization_dill_version_not_supported (__main__.TestSerialization) ... skip: "dill" not found or is correct version (0.000s)
2023-01-11T21:28:49.9994857Z   test_serialization_efficient_zerotensor_weights_only_False (__main__.TestSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9995225Z   test_serialization_efficient_zerotensor_weights_only_True (__main__.TestSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9995553Z   test_serialization_fake_zip (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9995837Z   test_serialization_filelike (__main__.TestSerialization) ... ok (0.003s)
2023-01-11T21:28:49.9996157Z   test_serialization_filelike_api_requirements (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9996803Z   test_serialization_filelike_exceptions (__main__.TestSerialization) ... test_serialization.py:616: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:49.9997344Z   s = torch.CharStorage(s_data)
2023-01-11T21:28:49.9997519Z ok (0.003s)
2023-01-11T21:28:49.9997766Z   test_serialization_filelike_missing_attrs (__main__.TestSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9998088Z   test_serialization_filelike_stress (__main__.TestSerialization) ... ok (0.455s)
2023-01-11T21:28:49.9998397Z   test_serialization_filelike_uses_readinto (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:49.9998704Z   test_serialization_gzip (__main__.TestSerialization) ... ok (0.004s)
2023-01-11T21:28:49.9999004Z   test_serialization_map_location (__main__.TestSerialization) ... ok (0.004s)
2023-01-11T21:28:49.9999329Z   test_serialization_math_bits_weights_only_False (__main__.TestSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9999654Z   test_serialization_math_bits_weights_only_True (__main__.TestSerialization) ... ok (0.002s)
2023-01-11T21:28:49.9999970Z   test_serialization_offset_gzip (__main__.TestSerialization) ... ok (0.002s)
2023-01-11T21:28:50.0000275Z   test_serialization_python_attr (__main__.TestSerialization) ... ok (0.012s)
2023-01-11T21:28:50.0000559Z   test_serialization_safe (__main__.TestSerialization) ... ok (0.007s)
2023-01-11T21:28:50.0000856Z   test_serialization_save_warnings (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0001467Z   test_serialization_sparse (__main__.TestSerialization) ... test_serialization.py:85: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0002060Z   b += [a[0].storage()]  # 4
2023-01-11T21:28:50.0002544Z test_serialization.py:86: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0003076Z   b += [a[0].reshape(-1)[1:4].storage()]  # 5
2023-01-11T21:28:50.0003747Z test_serialization.py:88: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0004352Z   t1 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:50.0004897Z test_serialization.py:89: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0005479Z   t2 = torch.FloatTensor().set_(a[0].reshape(-1)[1:4].clone().storage(), 0, (3,), (1,))
2023-01-11T21:28:50.0006018Z test_serialization.py:90: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0006517Z   b += [(t1.storage(), t1.storage(), t2.storage())]  # 7
2023-01-11T21:28:50.0007033Z test_serialization.py:91: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0007560Z   b += [a[0].reshape(-1)[0:2].storage()]  # 8
2023-01-11T21:28:50.0008338Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0008866Z   device=typed_storage.device,
2023-01-11T21:28:50.0009373Z test_serialization.py:104: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0009904Z   self.assertEqual(c[4], torch.FloatStorage(25).fill_(10), atol=0, rtol=0)
2023-01-11T21:28:50.0010441Z test_serialization.py:110: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0010911Z   self.assertEqual(c[4][i + 1], c[5][i])
2023-01-11T21:28:50.0011408Z test_serialization.py:120: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0011975Z   self.assertEqual(rootview.data_ptr(), c[0].data_ptr())
2023-01-11T21:28:50.0012186Z ok (0.007s)
2023-01-11T21:28:50.0012421Z   test_serialization_sparse_bsc_invalid (__main__.TestSerialization) ... ok (0.006s)
2023-01-11T21:28:50.0012785Z   test_serialization_sparse_bsr_invalid (__main__.TestSerialization) ... ok (0.006s)
2023-01-11T21:28:50.0013109Z   test_serialization_sparse_csc_invalid (__main__.TestSerialization) ... ok (0.006s)
2023-01-11T21:28:50.0013429Z   test_serialization_sparse_csr_invalid (__main__.TestSerialization) ... ok (0.006s)
2023-01-11T21:28:50.0013731Z   test_serialization_sparse_invalid (__main__.TestSerialization) ... ok (0.003s)
2023-01-11T21:28:50.0014628Z   test_serialization_sparse_safe (__main__.TestSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0015220Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:28:50.0015418Z ok (0.007s)
2023-01-11T21:28:50.0015954Z   test_serialization_storage_slice (__main__.TestSerialization) ... test_serialization.py:651: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0016487Z   self.assertEqual(s1[0], 0)
2023-01-11T21:28:50.0016989Z test_serialization.py:652: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0017464Z   self.assertEqual(s2[0], 0)
2023-01-11T21:28:50.0017946Z test_serialization.py:653: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:28:50.0018447Z   self.assertEqual(s1.data_ptr() + 4, s2.data_ptr())
2023-01-11T21:28:50.0018649Z ok (0.001s)
2023-01-11T21:28:50.0019336Z   test_serialization_zipfile_actually_jit (__main__.TestSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/serialization.py:803: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)
2023-01-11T21:28:50.0019828Z   " silence this warning)", UserWarning)
2023-01-11T21:28:50.0020009Z ok (0.012s)
2023-01-11T21:28:50.0020251Z   test_serialization_zipfile_utils (__main__.TestSerialization) ... ok (0.004s)
2023-01-11T21:28:50.0020576Z   test_serialization_zipfile_weights_only_False (__main__.TestSerialization) ... ok (0.006s)
2023-01-11T21:28:50.0020907Z   test_serialization_zipfile_weights_only_True (__main__.TestSerialization) ... ok (0.007s)
2023-01-11T21:28:50.0021219Z   test_serialize_device (__main__.TestSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0021511Z   test_weights_only_assert (__main__.TestSerialization) ... Hello World!
2023-01-11T21:28:50.0021722Z ok (0.001s)
2023-01-11T21:28:50.0021990Z   test_cloned_deepcopy_requires_grad_False (__main__.TestSubclassSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0022353Z   test_cloned_deepcopy_requires_grad_True (__main__.TestSubclassSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0022699Z   test_empty_class_serialization (__main__.TestSubclassSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0023020Z   test_tensor_subclass_deepcopy (__main__.TestSubclassSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0023410Z   test_tensor_subclass_getstate_overwrite (__main__.TestSubclassSerialization) ... ok (0.002s)
2023-01-11T21:28:50.0023799Z   test_tensor_subclass_wrapper_serialization (__main__.TestSubclassSerialization) ... ok (0.001s)
2023-01-11T21:28:50.0024005Z 
2023-01-11T21:28:50.0024196Z ----------------------------------------------------------------------
2023-01-11T21:28:50.0024439Z Ran 93 tests in 29.810s
2023-01-11T21:28:50.0024554Z 
2023-01-11T21:28:50.0024625Z OK (skipped=4)
2023-01-11T21:28:50.0024729Z 
2023-01-11T21:28:50.0024811Z Generating XML reports...
2023-01-11T21:28:50.0025239Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestBothSerializationCPU-20230111212819.xml
2023-01-11T21:28:50.0025790Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestOldSerialization-20230111212819.xml
2023-01-11T21:28:50.0026322Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSerialization-20230111212819.xml
2023-01-11T21:28:50.0026872Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSubclassSerialization-20230111212819.xml
2023-01-11T21:28:50.0027117Z 
2023-01-11T21:28:50.0027461Z ##[endgroup]
2023-01-11T21:28:50.0027862Z FINISHED PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_13ickiw0)
2023-01-11T21:28:50.0028089Z 
2023-01-11T21:28:51.7763907Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:28:51.9130991Z Ignoring disabled issues:  []
2023-01-11T21:28:51.9288330Z Running profiler/test_profiler ... [2023-01-11 21:28:51.928523]
2023-01-11T21:28:51.9289891Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:28:51.928784]
2023-01-11T21:29:02.8279558Z 
2023-01-11T21:29:02.8280135Z Expand the folded group to see the log file of profiler/test_profiler
2023-01-11T21:29:02.8281226Z ##[group]PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_57ztoghp)
2023-01-11T21:29:02.8282108Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler
2023-01-11T21:29:02.8282782Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:02.8283063Z 
2023-01-11T21:29:02.8283196Z Running tests...
2023-01-11T21:29:02.8283925Z ----------------------------------------------------------------------
2023-01-11T21:29:02.8284446Z   test_execution_graph_alone (__main__.TestExecutionGraph) ... ok (0.010s)
2023-01-11T21:29:02.8290420Z   test_execution_graph_no_capture (__main__.TestExecutionGraph) ... ok (0.001s)
2023-01-11T21:29:02.8291013Z   test_execution_graph_repeat_in_loop (__main__.TestExecutionGraph) ... ok (0.008s)
2023-01-11T21:29:02.8291579Z   test_execution_graph_start_stop (__main__.TestExecutionGraph) ... ok (0.006s)
2023-01-11T21:29:02.8292565Z   test_execution_graph_with_kineto (__main__.TestExecutionGraph) ... [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2023-01-11T21:29:02.8293276Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2023-01-11T21:29:02.8293852Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2023-01-11T21:29:02.8294637Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8295410Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8295981Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8296411Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8296826Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8297265Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8297707Z ok (0.082s)
2023-01-11T21:29:02.8297915Z   test_bfs (__main__.TestExperimentalUtils) ... ok (0.001s)
2023-01-11T21:29:02.8298243Z   test_dfs (__main__.TestExperimentalUtils) ... ok (0.001s)
2023-01-11T21:29:02.8298795Z   test_profiler_conv2d_bias_followed_by_batchnorm2d_pattern (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8299324Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8299754Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8300188Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8300615Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8301057Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8301473Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8301903Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8302340Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8302584Z ok (0.016s)
2023-01-11T21:29:02.8302863Z   test_profiler_extra_cuda_copy_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.002s)
2023-01-11T21:29:02.8303254Z   test_profiler_extra_cuda_copy_pattern_benchmark (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.000s)
2023-01-11T21:29:02.8303840Z   test_profiler_for_loop_indexing_pattern (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8304334Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8304777Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8305210Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8305634Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8306062Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8306493Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8306917Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8307339Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8307774Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8308197Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8308631Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8309043Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8309464Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8309901Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8310156Z ok (0.094s)
2023-01-11T21:29:02.8310414Z   test_profiler_fp32_matmul_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2023-01-11T21:29:02.8311019Z   test_profiler_grad_not_set_to_none_pattern (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8311561Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8311994Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8312421Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8312843Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8313276Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8313765Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8314184Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8314623Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8315052Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8315463Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8315897Z STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8316155Z ok (0.047s)
2023-01-11T21:29:02.8316415Z   test_profiler_matmul_dim_fp16_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2023-01-11T21:29:02.8316958Z   test_profiler_name_pattern (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:53 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8317446Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8317888Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8318130Z ok (4.721s)
2023-01-11T21:29:02.8318612Z   test_profiler_optimizer_single_tensor_pattern (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8319122Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8319557Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8319972Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8320394Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8320833Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8321245Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8321671Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8322106Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8322530Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8322938Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8323507Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8323940Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8324434Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8324853Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8325326Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8325753Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8326174Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8326428Z ok (0.090s)
2023-01-11T21:29:02.8326887Z   test_profiler_pattern_match_helper (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8327381Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8327805Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8328064Z ok (0.004s)
2023-01-11T21:29:02.8328530Z   test_profiler_pattern_matcher_json_report (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8329028Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8329454Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8329713Z ok (0.026s)
2023-01-11T21:29:02.8330193Z   test_profiler_synchronized_dataloader_pattern (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8330717Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:29:02.8331270Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:29:02.8331807Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:29:02.8332342Z [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:29:02.8332861Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8333288Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8333549Z ok (0.059s)
2023-01-11T21:29:02.8333792Z   test_utils_compute_idle_time (__main__.TestExperimentalUtils) ... ok (0.002s)
2023-01-11T21:29:02.8334095Z   test_utils_compute_queue_depth (__main__.TestExperimentalUtils) ... ok (0.001s)
2023-01-11T21:29:02.8334657Z   test_utils_compute_queue_depth_when_no_cuda_events (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8335169Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8335610Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8335854Z ok (0.084s)
2023-01-11T21:29:02.8336298Z   test_utils_compute_self_time (__main__.TestExperimentalUtils) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8336789Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8337270Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8337512Z ok (0.007s)
2023-01-11T21:29:02.8337793Z   test_utils_get_optimizable_events (__main__.TestExperimentalUtils) ... ok (0.006s)
2023-01-11T21:29:02.8338111Z   test_utils_intervals_overlap (__main__.TestExperimentalUtils) ... 5
2023-01-11T21:29:02.8338327Z ok (0.001s)
2023-01-11T21:29:02.8338743Z   test_export_stacks (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8339217Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8339657Z STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8339897Z ok (0.003s)
2023-01-11T21:29:02.8340296Z   test_flops (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:58 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8340761Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8341187Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8341443Z ok (0.073s)
2023-01-11T21:29:02.8341642Z   test_high_level_trace (__main__.TestProfiler)
2023-01-11T21:29:02.8342115Z Checks that python side high level events are recorded. ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8342586Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8343023Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8343448Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8343861Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8344299Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8344732Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8345153Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8345577Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8345838Z ok (0.126s)
2023-01-11T21:29:02.8346589Z   test_kineto (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88377 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:29:02.8347172Z   test_kineto_multigpu (__main__.TestProfiler) ... skip: Multiple GPUs needed (0.001s)
2023-01-11T21:29:02.8347673Z   test_kineto_profiler_api (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8348141Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8348577Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8349005Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8349414Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8349853Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8350320Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8350774Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8351200Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8351628Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8352050Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8352487Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8352730Z ok (0.010s)
2023-01-11T21:29:02.8353176Z   test_kineto_profiler_multiple_steppers (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8353741Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8354164Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8354594Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8355016Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8355452Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8355867Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8356289Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8356725Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8356982Z ok (0.031s)
2023-01-11T21:29:02.8357728Z   test_memory_profiler (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72280 for platform(s) linux, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2023-01-11T21:29:02.8358474Z   test_module_hierarchy (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8358946Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8359389Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8359632Z ok (0.018s)
2023-01-11T21:29:02.8360062Z   test_nested_tensor_with_shapes (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8360543Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8360985Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8361473Z profiler/test_profiler.py:1318: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T21:29:02.8361900Z   inp = torch.nested.nested_tensor([a, b])
2023-01-11T21:29:02.8362104Z ok (0.004s)
2023-01-11T21:29:02.8362302Z   test_oom_tracing (__main__.TestProfiler) ... ok (0.001s)
2023-01-11T21:29:02.8362561Z   test_profiler_correlation_id (__main__.TestProfiler)
2023-01-11T21:29:02.8363092Z We expect the correlation_id to be unique across multiple invokation of the profiler, ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8363760Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8364242Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8364678Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8365105Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8365540Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8365954Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8366375Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8366818Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8367231Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8367658Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8368095Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8368520Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8368929Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8369368Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8369627Z ok (0.228s)
2023-01-11T21:29:02.8370022Z   test_profiler_fwd_bwd_link (__main__.TestProfiler) ... skip: Disable forward->backward link to workaround profiler crash (0.002s)
2023-01-11T21:29:02.8370556Z   test_profiler_metadata (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8371030Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8371464Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8371707Z ok (0.002s)
2023-01-11T21:29:02.8372124Z   test_profiler_tracing (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8372593Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8373030Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8373448Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8373869Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8374307Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8374734Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8375145Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8375577Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8376001Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8376410Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8376899Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8377156Z ok (0.003s)
2023-01-11T21:29:02.8377616Z   test_profiler_type (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8378075Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8378510Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8378765Z ok (0.001s)
2023-01-11T21:29:02.8378943Z   test_source (__main__.TestProfiler)
2023-01-11T21:29:02.8379437Z Checks that source code attribution works for eager, TS and autograd mode ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8379938Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8380381Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8380623Z ok (0.054s)
2023-01-11T21:29:02.8381055Z   test_tensorboard_trace_handler (__main__.TestProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8381535Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8381972Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8382385Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8382802Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8383239Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8383654Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8384079Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8384516Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8384941Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8385351Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8385786Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8386216Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8386637Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8387064Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8387493Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8387915Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8388333Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8388755Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8389173Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8389608Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8389853Z ok (0.017s)
2023-01-11T21:29:02.8390108Z   test_custom_module_input_op_ids (__main__.TestProfilerCUDA) ... skip: CUDA is required (0.001s)
2023-01-11T21:29:02.8390433Z   test_mem_leak (__main__.TestProfilerCUDA)
2023-01-11T21:29:02.8390833Z Checks that there's no memory leak when using profiler with CUDA ... skip: CUDA is required (0.001s)
2023-01-11T21:29:02.8391160Z   test_custom_module_input_op_ids (__main__.TestProfilerITT) ... ok (0.001s)
2023-01-11T21:29:02.8391478Z   test_datapipe_delegation_with_profiler (__main__.TestRecordFunction) ... ok (0.002s)
2023-01-11T21:29:02.8392014Z   test_datapipe_with_record_function (__main__.TestRecordFunction) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8392500Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8392936Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8393194Z ok (0.005s)
2023-01-11T21:29:02.8393727Z   test_datapipe_with_record_function_fork (__main__.TestRecordFunction) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8394217Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8394658Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8394912Z ok (0.004s)
2023-01-11T21:29:02.8395326Z   test_record_function (__main__.TestRecordFunction) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8395802Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8396237Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8396491Z ok (0.002s)
2023-01-11T21:29:02.8396928Z   test_allocation_id_uniqueness (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8397425Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8397864Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8398120Z ok (0.251s)
2023-01-11T21:29:02.8398542Z   test_allocation_ids (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8399025Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8399460Z STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8399701Z ok (0.160s)
2023-01-11T21:29:02.8400158Z   test_allocation_ids_with_other_ops (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:28:59 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8400655Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8401093Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8401331Z ok (0.134s)
2023-01-11T21:29:02.8401757Z   test_allocations (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8402236Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8402661Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8403086Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8403630Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8404147Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8404387Z ok (0.136s)
2023-01-11T21:29:02.8404863Z   test_extra_fields (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8405345Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8405781Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8406023Z ok (0.002s)
2023-01-11T21:29:02.8406450Z   test_impl_reuse (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8406930Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8407360Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8407615Z ok (0.219s)
2023-01-11T21:29:02.8408048Z   test_mkldnn_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8408526Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8408951Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8409206Z ok (0.003s)
2023-01-11T21:29:02.8409686Z   test_module_and_optimizer_ids (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8410162Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8410596Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8411023Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8411444Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8411868Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8412124Z ok (0.014s)
2023-01-11T21:29:02.8412561Z   test_nnmodule_params (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8413042Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8413463Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8414056Z profiler/test_profiler.py:1985: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8414655Z   expected = [(name, val.storage().data_ptr(), val.grad.storage().data_ptr()) for name, val in net.fc1._parameters.items()]
2023-01-11T21:29:02.8415249Z profiler/test_profiler.py:1986: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8415823Z   expected += [(name, val.storage().data_ptr(), val.grad.storage().data_ptr()) for name, val in net.fc2._parameters.items()]
2023-01-11T21:29:02.8416081Z ok (0.005s)
2023-01-11T21:29:02.8416551Z   test_optimizer (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8417066Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8417500Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8417757Z ok (0.012s)
2023-01-11T21:29:02.8418206Z   test_optimizer_parameters_adam (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8418697Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8419125Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8419706Z profiler/test_profiler.py:2009: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8420230Z   [(v.storage().data_ptr()) for v in group.get("params", [])],
2023-01-11T21:29:02.8420764Z profiler/test_profiler.py:2022: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8421305Z   {name: value.storage().data_ptr() for name, value in parameter_state.items()},
2023-01-11T21:29:02.8421843Z profiler/test_profiler.py:2023: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8422358Z   observed_state.get(parameter.storage().data_ptr(), [])
2023-01-11T21:29:02.8422571Z ok (0.039s)
2023-01-11T21:29:02.8423027Z   test_optimizer_parameters_sgd (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8423519Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8423958Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8424215Z ok (0.021s)
2023-01-11T21:29:02.8424641Z   test_pointers_and_ids (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8425110Z [W CPUAllocator.cpp:231] Memory block of unknown size was allocated before the profiling started, profiler results will not include the deallocation event
2023-01-11T21:29:02.8425595Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8426033Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8426599Z profiler/test_profiler.py:1366: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8427099Z   a_initial_storage_data = a.storage().data_ptr()
2023-01-11T21:29:02.8427621Z profiler/test_profiler.py:1371: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8428150Z   c_initial_storage_data = c.storage().data_ptr()
2023-01-11T21:29:02.8428701Z profiler/test_profiler.py:1384: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8429151Z   c.set_(d.storage())
2023-01-11T21:29:02.8429324Z ok (0.005s)
2023-01-11T21:29:02.8429754Z   test_scalar_ins (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8430241Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8430669Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8430930Z ok (0.002s)
2023-01-11T21:29:02.8431364Z   test_sparse_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8431832Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8432269Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8432528Z ok (0.004s)
2023-01-11T21:29:02.8432959Z   test_tensor_lists (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8433494Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8433935Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8434523Z profiler/test_profiler.py:1958: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8435057Z   self.assertEqual(x.storage().data_ptr(), inputs[0][0].storage_data_ptr)
2023-01-11T21:29:02.8435590Z profiler/test_profiler.py:1959: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8436115Z   self.assertEqual(y.storage().data_ptr(), inputs[0][1].storage_data_ptr)
2023-01-11T21:29:02.8436336Z ok (0.002s)
2023-01-11T21:29:02.8436784Z   test_tensor_properties (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8437268Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8437711Z STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8437966Z ok (0.004s)
2023-01-11T21:29:02.8438422Z   test_tensorimpl_invalidation_full (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:00 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8438908Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8439345Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8439926Z profiler/test_profiler.py:1546: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8440446Z   x_storages = [x.storage()]
2023-01-11T21:29:02.8440968Z profiler/test_profiler.py:1549: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8441441Z   x.set_(torch.ones((1,)).storage())
2023-01-11T21:29:02.8441939Z profiler/test_profiler.py:1550: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8442420Z   x_storages.append(x.storage())
2023-01-11T21:29:02.8442927Z profiler/test_profiler.py:1559: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8443532Z   x.set_(torch.ones((1,)).storage())
2023-01-11T21:29:02.8444033Z profiler/test_profiler.py:1563: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8444503Z   x.set_(torch.ones((1,)).storage())
2023-01-11T21:29:02.8444686Z ok (0.442s)
2023-01-11T21:29:02.8445151Z   test_tensorimpl_invalidation_keep_alive (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8445664Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8446111Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8446540Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8446953Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8447390Z STAGE:2023-01-11 21:29:01 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8447965Z profiler/test_profiler.py:1478: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8448442Z   x_storages = [x.storage()]
2023-01-11T21:29:02.8448932Z profiler/test_profiler.py:1481: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8449404Z   x.set_(torch.ones((1,)).storage())
2023-01-11T21:29:02.8449908Z profiler/test_profiler.py:1485: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8450384Z   x_storages.append(x.storage())
2023-01-11T21:29:02.8450927Z profiler/test_profiler.py:1499: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8451435Z   x.set_(torch.ones((1,)).storage())
2023-01-11T21:29:02.8451619Z ok (0.989s)
2023-01-11T21:29:02.8452092Z   test_tensorimpl_invalidation_scalar_args (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8452590Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8453029Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8453288Z ok (0.134s)
2023-01-11T21:29:02.8453742Z   test_tensorimpl_invalidation_set (__main__.TestTorchTidyProfiler) ... STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8454230Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8454666Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8455096Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:29:02.8455511Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:29:02.8455948Z STAGE:2023-01-11 21:29:02 8200:8200 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:29:02.8456528Z profiler/test_profiler.py:1454: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:02.8457012Z   x.set_(torch.ones((1,)).storage())
2023-01-11T21:29:02.8457184Z ok (0.277s)
2023-01-11T21:29:02.8457291Z 
2023-01-11T21:29:02.8457492Z ----------------------------------------------------------------------
2023-01-11T21:29:02.8457736Z Ran 71 tests in 8.726s
2023-01-11T21:29:02.8457850Z 
2023-01-11T21:29:02.8457923Z OK (skipped=10)
2023-01-11T21:29:02.8458017Z 
2023-01-11T21:29:02.8458101Z Generating XML reports...
2023-01-11T21:29:02.8458528Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExecutionGraph-20230111212853.xml
2023-01-11T21:29:02.8459088Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExperimentalUtils-20230111212853.xml
2023-01-11T21:29:02.8459608Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfiler-20230111212853.xml
2023-01-11T21:29:02.8460123Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerITT-20230111212853.xml
2023-01-11T21:29:02.8460660Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestRecordFunction-20230111212853.xml
2023-01-11T21:29:02.8461212Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestTorchTidyProfiler-20230111212853.xml
2023-01-11T21:29:02.8461741Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerCUDA-20230111212853.xml
2023-01-11T21:29:02.8461975Z 
2023-01-11T21:29:02.8462296Z ##[endgroup]
2023-01-11T21:29:02.8462705Z FINISHED PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_57ztoghp)
2023-01-11T21:29:02.8462937Z 
2023-01-11T21:29:04.6269760Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:04.7757742Z Ignoring disabled issues:  []
2023-01-11T21:29:04.7915653Z Running lazy/test_ts_opinfo ... [2023-01-11 21:29:04.791228]
2023-01-11T21:29:04.7916894Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:29:04.791483]
2023-01-11T21:29:14.2352372Z 
2023-01-11T21:29:14.2354969Z Expand the folded group to see the log file of lazy/test_ts_opinfo
2023-01-11T21:29:14.2360344Z ##[group]PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_lvlzwhf2)
2023-01-11T21:29:14.2361487Z Test results will be stored in test-reports/python-unittest/lazy.test_ts_opinfo
2023-01-11T21:29:14.2361808Z 
2023-01-11T21:29:14.2361930Z Running tests...
2023-01-11T21:29:14.2362422Z ----------------------------------------------------------------------
2023-01-11T21:29:14.2362930Z   test_nonzero_dynamic (__main__.TestLazyDynamicOps) ... ok (0.189s)
2023-01-11T21:29:14.2363696Z   test_correctness__softmax_backward_data_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2364259Z   test_correctness_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2364766Z   test_correctness_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s)
2023-01-11T21:29:14.2365284Z   test_correctness_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.025s)
2023-01-11T21:29:14.2365818Z   test_correctness_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.033s)
2023-01-11T21:29:14.2366355Z   test_correctness_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2366944Z   test_correctness_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:29:14.2367527Z   test_correctness_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2368093Z   test_correctness_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2368620Z   test_correctness_block_diag_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.026s)
2023-01-11T21:29:14.2369143Z   test_correctness_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2369687Z   test_correctness_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2370204Z   test_correctness_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s)
2023-01-11T21:29:14.2370745Z   test_correctness_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2371298Z   test_correctness_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.042s)
2023-01-11T21:29:14.2371844Z   test_correctness_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2372347Z   test_correctness_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2372900Z   test_correctness_diag_embed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.029s)
2023-01-11T21:29:14.2373434Z   test_correctness_diagonal_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s)
2023-01-11T21:29:14.2373994Z   test_correctness_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s)
2023-01-11T21:29:14.2374578Z   test_correctness_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s)
2023-01-11T21:29:14.2375161Z   test_correctness_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2375729Z   test_correctness_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s)
2023-01-11T21:29:14.2376355Z   test_correctness_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s)
2023-01-11T21:29:14.2376941Z   test_correctness_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2377445Z   test_correctness_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2377939Z   test_correctness_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2378420Z   test_correctness_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2379092Z   test_correctness_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2379596Z   test_correctness_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.024s)
2023-01-11T21:29:14.2380203Z   test_correctness_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2380737Z   test_correctness_grid_sampler_2d_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s)
2023-01-11T21:29:14.2381265Z   test_correctness_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2381748Z   test_correctness_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2382229Z   test_correctness_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2382747Z   test_correctness_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2383277Z   test_correctness_logsumexp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.406s)
2023-01-11T21:29:14.2383796Z   test_correctness_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2384336Z   test_correctness_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2384898Z   test_correctness_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2385492Z   test_correctness_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (1.734s)
2023-01-11T21:29:14.2386107Z   test_correctness_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2386680Z   test_correctness_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2387242Z   test_correctness_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2387765Z   test_correctness_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.018s)
2023-01-11T21:29:14.2388322Z   test_correctness_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2388881Z   test_correctness_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2389491Z   test_correctness_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2390064Z   test_correctness_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2390571Z   test_correctness_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2391076Z   test_correctness_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2391569Z   test_correctness_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2392149Z   test_correctness_narrow_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.012s)
2023-01-11T21:29:14.2392735Z   test_correctness_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s)
2023-01-11T21:29:14.2393434Z   test_correctness_native_dropout_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.005s)
2023-01-11T21:29:14.2394038Z   test_correctness_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s)
2023-01-11T21:29:14.2394585Z   test_correctness_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2395123Z   test_correctness_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2395692Z   test_correctness_new_empty_strided_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:29:14.2396247Z   test_correctness_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.030s)
2023-01-11T21:29:14.2396782Z   test_correctness_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2397337Z   test_correctness_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2397865Z   test_correctness_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2398570Z   test_correctness_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2399138Z   test_correctness_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s)
2023-01-11T21:29:14.2399738Z   test_correctness_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.031s)
2023-01-11T21:29:14.2418408Z   test_correctness_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2419095Z   test_correctness_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.039s)
2023-01-11T21:29:14.2419639Z   test_correctness_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s)
2023-01-11T21:29:14.2420205Z   test_correctness_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2420737Z   test_correctness_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2421271Z   test_correctness_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s)
2023-01-11T21:29:14.2421839Z   test_correctness_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2422353Z   test_correctness_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2422911Z   test_correctness_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2423403Z   test_correctness_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2423928Z   test_correctness_std_unbiased_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2424452Z   test_correctness_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2424949Z   test_correctness_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s)
2023-01-11T21:29:14.2425460Z   test_correctness_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2425973Z   test_correctness_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s)
2023-01-11T21:29:14.2426510Z   test_correctness_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2427030Z   test_correctness_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2427540Z   test_correctness_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s)
2023-01-11T21:29:14.2428017Z   test_correctness_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2428490Z   test_correctness_unfold_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s)
2023-01-11T21:29:14.2429043Z   test_correctness_view_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2429576Z   test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2430135Z   test_correctness_with_reusing_ir_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2430675Z   test_correctness_with_reusing_ir_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2431216Z   test_correctness_with_reusing_ir_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.024s)
2023-01-11T21:29:14.2431767Z   test_correctness_with_reusing_ir_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s)
2023-01-11T21:29:14.2432358Z   test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2432955Z   test_correctness_with_reusing_ir_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:29:14.2433669Z   test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2434253Z   test_correctness_with_reusing_ir_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2434808Z   test_correctness_with_reusing_ir_block_diag_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.033s)
2023-01-11T21:29:14.2435389Z   test_correctness_with_reusing_ir_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2436125Z   test_correctness_with_reusing_ir_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2436783Z   test_correctness_with_reusing_ir_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2437368Z   test_correctness_with_reusing_ir_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s)
2023-01-11T21:29:14.2437984Z   test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.052s)
2023-01-11T21:29:14.2438600Z   test_correctness_with_reusing_ir_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2439159Z   test_correctness_with_reusing_ir_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2439737Z   test_correctness_with_reusing_ir_diag_embed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.031s)
2023-01-11T21:29:14.2440349Z   test_correctness_with_reusing_ir_diagonal_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2441000Z   test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s)
2023-01-11T21:29:14.2441620Z   test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s)
2023-01-11T21:29:14.2442277Z   test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2442907Z   test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2443701Z   test_correctness_with_reusing_ir_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s)
2023-01-11T21:29:14.2444304Z   test_correctness_with_reusing_ir_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2444877Z   test_correctness_with_reusing_ir_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2445449Z   test_correctness_with_reusing_ir_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2446022Z   test_correctness_with_reusing_ir_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2446590Z   test_correctness_with_reusing_ir_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2447175Z   test_correctness_with_reusing_ir_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.018s)
2023-01-11T21:29:14.2447770Z   test_correctness_with_reusing_ir_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2448361Z   test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s)
2023-01-11T21:29:14.2448932Z   test_correctness_with_reusing_ir_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2449504Z   test_correctness_with_reusing_ir_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2450100Z   test_correctness_with_reusing_ir_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2450660Z   test_correctness_with_reusing_ir_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2451272Z   test_correctness_with_reusing_ir_logsumexp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.407s)
2023-01-11T21:29:14.2451861Z   test_correctness_with_reusing_ir_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2452443Z   test_correctness_with_reusing_ir_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2453047Z   test_correctness_with_reusing_ir_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2453710Z   test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (1.628s)
2023-01-11T21:29:14.2454382Z   test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2455196Z   test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2455875Z   test_correctness_with_reusing_ir_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2456441Z   test_correctness_with_reusing_ir_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s)
2023-01-11T21:29:14.2457014Z   test_correctness_with_reusing_ir_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2457577Z   test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2458204Z   test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2458809Z   test_correctness_with_reusing_ir_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2459372Z   test_correctness_with_reusing_ir_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2459932Z   test_correctness_with_reusing_ir_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s)
2023-01-11T21:29:14.2460495Z   test_correctness_with_reusing_ir_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2461123Z   test_correctness_with_reusing_ir_narrow_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.009s)
2023-01-11T21:29:14.2461763Z   test_correctness_with_reusing_ir_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s)
2023-01-11T21:29:14.2462406Z   test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.005s)
2023-01-11T21:29:14.2463074Z   test_correctness_with_reusing_ir_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s)
2023-01-11T21:29:14.2463681Z   test_correctness_with_reusing_ir_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2464254Z   test_correctness_with_reusing_ir_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2464891Z   test_correctness_with_reusing_ir_new_empty_strided_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:29:14.2465529Z   test_correctness_with_reusing_ir_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.029s)
2023-01-11T21:29:14.2466099Z   test_correctness_with_reusing_ir_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2466648Z   test_correctness_with_reusing_ir_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2467229Z   test_correctness_with_reusing_ir_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2467834Z   test_correctness_with_reusing_ir_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2468437Z   test_correctness_with_reusing_ir_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s)
2023-01-11T21:29:14.2469022Z   test_correctness_with_reusing_ir_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s)
2023-01-11T21:29:14.2469613Z   test_correctness_with_reusing_ir_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2470230Z   test_correctness_with_reusing_ir_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.031s)
2023-01-11T21:29:14.2470833Z   test_correctness_with_reusing_ir_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s)
2023-01-11T21:29:14.2471410Z   test_correctness_with_reusing_ir_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2472002Z   test_correctness_with_reusing_ir_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2472626Z   test_correctness_with_reusing_ir_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s)
2023-01-11T21:29:14.2473209Z   test_correctness_with_reusing_ir_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.027s)
2023-01-11T21:29:14.2474024Z   test_correctness_with_reusing_ir_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2474658Z   test_correctness_with_reusing_ir_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s)
2023-01-11T21:29:14.2475235Z   test_correctness_with_reusing_ir_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2475833Z   test_correctness_with_reusing_ir_std_unbiased_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2476442Z   test_correctness_with_reusing_ir_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2477033Z   test_correctness_with_reusing_ir_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s)
2023-01-11T21:29:14.2477623Z   test_correctness_with_reusing_ir_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2478201Z   test_correctness_with_reusing_ir_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2478763Z   test_correctness_with_reusing_ir_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2479376Z   test_correctness_with_reusing_ir_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2479931Z   test_correctness_with_reusing_ir_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2480477Z   test_correctness_with_reusing_ir_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2481052Z   test_correctness_with_reusing_ir_unfold_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.033s)
2023-01-11T21:29:14.2481619Z   test_correctness_with_reusing_ir_view_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s)
2023-01-11T21:29:14.2482205Z   test_dispatched_to_lazy__softmax_backward_data_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2482772Z   test_dispatched_to_lazy_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2483315Z   test_dispatched_to_lazy_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2484026Z   test_dispatched_to_lazy_addcdiv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s)
2023-01-11T21:29:14.2484564Z   test_dispatched_to_lazy_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2485118Z   test_dispatched_to_lazy_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2485718Z   test_dispatched_to_lazy_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2486303Z   test_dispatched_to_lazy_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.002s)
2023-01-11T21:29:14.2486905Z   test_dispatched_to_lazy_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2487489Z   test_dispatched_to_lazy_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2488075Z   test_dispatched_to_lazy_bernoulli_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2488609Z   test_dispatched_to_lazy_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2489173Z   test_dispatched_to_lazy_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2489738Z   test_dispatched_to_lazy_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2490308Z   test_dispatched_to_lazy_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.003s)
2023-01-11T21:29:14.2490892Z   test_dispatched_to_lazy_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s)
2023-01-11T21:29:14.2491450Z   test_dispatched_to_lazy_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2491985Z   test_dispatched_to_lazy_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2492540Z   test_dispatched_to_lazy_diagonal_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2493279Z   test_dispatched_to_lazy_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2493958Z   test_dispatched_to_lazy_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2494585Z   test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2495166Z   test_dispatched_to_lazy_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2495807Z   test_dispatched_to_lazy_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s)
2023-01-11T21:29:14.2496415Z   test_dispatched_to_lazy_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2496979Z   test_dispatched_to_lazy_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2497514Z   test_dispatched_to_lazy_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2498083Z   test_dispatched_to_lazy_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2498647Z   test_dispatched_to_lazy_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2499177Z   test_dispatched_to_lazy_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s)
2023-01-11T21:29:14.2499728Z   test_dispatched_to_lazy_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2500309Z   test_dispatched_to_lazy_grid_sampler_2d_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2500881Z   test_dispatched_to_lazy_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2501416Z   test_dispatched_to_lazy_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2501971Z   test_dispatched_to_lazy_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2502532Z   test_dispatched_to_lazy_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2503022Z   test_dispatched_to_lazy_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2503578Z   test_dispatched_to_lazy_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2504116Z   test_dispatched_to_lazy_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2504699Z   test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.116s)
2023-01-11T21:29:14.2505308Z   test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2505936Z   test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2506520Z   test_dispatched_to_lazy_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2507079Z   test_dispatched_to_lazy_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2507628Z   test_dispatched_to_lazy_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2508238Z   test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2508806Z   test_dispatched_to_lazy_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2509333Z   test_dispatched_to_lazy_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2509881Z   test_dispatched_to_lazy_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2510428Z   test_dispatched_to_lazy_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2511042Z   test_dispatched_to_lazy_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2511677Z   test_dispatched_to_lazy_native_dropout_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:29:14.2512474Z   test_dispatched_to_lazy_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2513084Z   test_dispatched_to_lazy_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2513685Z   test_dispatched_to_lazy_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2514229Z   test_dispatched_to_lazy_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s)
2023-01-11T21:29:14.2514775Z   test_dispatched_to_lazy_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2515334Z   test_dispatched_to_lazy_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2515856Z   test_dispatched_to_lazy_pow_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2516417Z   test_dispatched_to_lazy_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2517003Z   test_dispatched_to_lazy_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2517581Z   test_dispatched_to_lazy_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2518107Z   test_dispatched_to_lazy_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2518670Z   test_dispatched_to_lazy_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s)
2023-01-11T21:29:14.2519262Z   test_dispatched_to_lazy_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2519826Z   test_dispatched_to_lazy_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2520370Z   test_dispatched_to_lazy_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2520961Z   test_dispatched_to_lazy_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s)
2023-01-11T21:29:14.2521540Z   test_dispatched_to_lazy_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s)
2023-01-11T21:29:14.2522061Z   test_dispatched_to_lazy_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2522617Z   test_dispatched_to_lazy_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2523182Z   test_dispatched_to_lazy_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2523896Z   test_dispatched_to_lazy_std_unbiased_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2524479Z   test_dispatched_to_lazy_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2525036Z   test_dispatched_to_lazy_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2525570Z   test_dispatched_to_lazy_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2526090Z   test_dispatched_to_lazy_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2526651Z   test_dispatched_to_lazy_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2527169Z   test_dispatched_to_lazy_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2527746Z   test_dispatched_to_lazy_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2528298Z   test_dispatched_to_lazy_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s)
2023-01-11T21:29:14.2528881Z   test_dispatched_to_lazy_unfold_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s)
2023-01-11T21:29:14.2529451Z   test_dispatched_to_lazy_view_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s)
2023-01-11T21:29:14.2530085Z   testConvolutionBackward (__main__.TestLazyTensor) ... skip: Disable until autograd supports symints (0.001s)
2023-01-11T21:29:14.2530648Z   test_tensor_ctr (__main__.TestLazyTensor) ... ok (0.002s)
2023-01-11T21:29:14.2531118Z   test_view_mark_step_preserved (__main__.TestLazyTensor) ... ok (0.003s)
2023-01-11T21:29:14.2531532Z 
2023-01-11T21:29:14.2531965Z ----------------------------------------------------------------------
2023-01-11T21:29:14.2532370Z Ran 261 tests in 6.640s
2023-01-11T21:29:14.2532559Z 
2023-01-11T21:29:14.2532810Z OK (skipped=9, expected failures=6)
2023-01-11T21:29:14.2533022Z 
2023-01-11T21:29:14.2533147Z Generating XML reports...
2023-01-11T21:29:14.2533878Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20230111212907.xml
2023-01-11T21:29:14.2534794Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyOpInfoCPU-20230111212907.xml
2023-01-11T21:29:14.2535673Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20230111212907.xml
2023-01-11T21:29:14.2536067Z 
2023-01-11T21:29:14.2536489Z ##[endgroup]
2023-01-11T21:29:14.2537176Z FINISHED PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_lvlzwhf2)
2023-01-11T21:29:14.2537554Z 
2023-01-11T21:29:16.0583683Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:16.1996370Z Ignoring disabled issues:  []
2023-01-11T21:29:16.2154448Z Running nn/test_embedding ... [2023-01-11 21:29:16.215130]
2023-01-11T21:29:16.2156362Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_embedding.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:29:16.215398]
2023-01-11T21:29:22.9911058Z 
2023-01-11T21:29:22.9914276Z Expand the folded group to see the log file of nn/test_embedding
2023-01-11T21:29:22.9915202Z ##[group]PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_e04p8a9_)
2023-01-11T21:29:22.9915731Z Test results will be stored in test-reports/python-unittest/nn.test_embedding
2023-01-11T21:29:22.9915955Z 
2023-01-11T21:29:22.9916036Z Running tests...
2023-01-11T21:29:22.9916330Z ----------------------------------------------------------------------
2023-01-11T21:29:22.9916699Z   test_embedding_bag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.003s)
2023-01-11T21:29:22.9917040Z   test_embedding_bag_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9917362Z   test_embedding_bag_functional (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9917704Z   test_embedding_bag_padding_idx_error (__main__.TestEmbeddingNN) ... ok (0.011s)
2023-01-11T21:29:22.9918020Z   test_embedding_from_pretrained_float32 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9918384Z   test_embedding_from_pretrained_float64 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9918683Z   test_embedding_from_pretrained_int16 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9919037Z   test_embedding_from_pretrained_int32 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9919341Z   test_embedding_from_pretrained_int64 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9919656Z   test_embedding_from_pretrained_int8 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9919994Z   test_embedding_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9920317Z   test_embedding_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9920683Z   test_embedding_from_pretrained_uint8 (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9920967Z   test_embedding_functional (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9921295Z   test_embedding_max_norm (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9921638Z   test_embedding_max_norm_unsorted_repeating_indices (__main__.TestEmbeddingNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:29:22.9922011Z   test_embedding_sparse_basic (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9922302Z   test_embedding_sparse_empty_tensor (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9922608Z   test_embeddingbag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.001s)
2023-01-11T21:29:22.9923156Z   test_embeddingbag_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9923764Z   test_embeddingbag_include_last_offset (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9964047Z   test_move_sparse_half_embedding (__main__.TestEmbeddingNN) ... ok (0.002s)
2023-01-11T21:29:22.9964690Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T21:29:22.9965388Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9966188Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9967082Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9967766Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9968215Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9968646Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9969069Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9969507Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9969940Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9970373Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9970796Z   test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T21:29:22.9971229Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s)
2023-01-11T21:29:22.9971664Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T21:29:22.9972095Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s)
2023-01-11T21:29:22.9972515Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T21:29:22.9972940Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s)
2023-01-11T21:29:22.9973367Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s)
2023-01-11T21:29:22.9973791Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T21:29:22.9974205Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T21:29:22.9974628Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s)
2023-01-11T21:29:22.9975052Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T21:29:22.9975476Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s)
2023-01-11T21:29:22.9976099Z   test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.016s)
2023-01-11T21:29:22.9976525Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s)
2023-01-11T21:29:22.9976970Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s)
2023-01-11T21:29:22.9977386Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T21:29:22.9977788Z   test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s)
2023-01-11T21:29:22.9978204Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T21:29:22.9978632Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9979057Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9979465Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9979887Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9980309Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9980732Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9981141Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9981560Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9981978Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9982395Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9982797Z   test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T21:29:22.9983213Z   test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T21:29:22.9983624Z   test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T21:29:22.9984032Z   test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T21:29:22.9984428Z   test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T21:29:22.9984811Z   test_embedding_backward_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T21:29:22.9985180Z   test_embedding_bag_1D_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.778s)
2023-01-11T21:29:22.9985559Z   test_embedding_bag_1D_padding_idx_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.750s)
2023-01-11T21:29:22.9985917Z   test_embedding_bag_2D_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.066s)
2023-01-11T21:29:22.9986291Z   test_embedding_bag_2D_padding_idx_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.063s)
2023-01-11T21:29:22.9986722Z   test_embedding_bag_bfloat16_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:22.9987145Z   test_embedding_bag_bfloat16_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:22.9987551Z   test_embedding_bag_bfloat16_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:22.9987954Z   test_embedding_bag_bfloat16_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:22.9988341Z   test_embedding_bag_device_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.176s)
2023-01-11T21:29:22.9988704Z   test_embedding_bag_device_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.176s)
2023-01-11T21:29:22.9989078Z   test_embedding_bag_device_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.179s)
2023-01-11T21:29:22.9989458Z   test_embedding_bag_device_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.177s)
2023-01-11T21:29:22.9989834Z   test_embedding_bag_device_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.176s)
2023-01-11T21:29:22.9990191Z   test_embedding_bag_device_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.178s)
2023-01-11T21:29:22.9990565Z   test_embedding_bag_device_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.177s)
2023-01-11T21:29:22.9990935Z   test_embedding_bag_device_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.176s)
2023-01-11T21:29:22.9991303Z   test_embedding_bag_device_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.177s)
2023-01-11T21:29:22.9991657Z   test_embedding_bag_device_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.176s)
2023-01-11T21:29:22.9992033Z   test_embedding_bag_device_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.175s)
2023-01-11T21:29:22.9992404Z   test_embedding_bag_device_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.177s)
2023-01-11T21:29:22.9992758Z   test_embedding_bag_dimension_errors_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.027s)
2023-01-11T21:29:22.9993129Z   test_embedding_bag_empty_input_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T21:29:22.9993586Z   test_embedding_bag_empty_input_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T21:29:22.9993963Z   test_embedding_bag_empty_input_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T21:29:22.9994329Z   test_embedding_bag_empty_input_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T21:29:22.9994697Z   test_embedding_bag_half_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.042s)
2023-01-11T21:29:22.9995052Z   test_embedding_bag_half_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.042s)
2023-01-11T21:29:22.9995407Z   test_embedding_bag_half_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.041s)
2023-01-11T21:29:22.9995750Z   test_embedding_bag_half_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.041s)
2023-01-11T21:29:22.9996133Z   test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9996540Z   test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9996945Z   test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9997331Z   test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9997736Z   test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9998178Z   test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9998607Z   test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9998991Z   test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9999393Z   test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:22.9999792Z   test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:23.0000177Z   test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:23.0000571Z   test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:23.0001000Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0001433Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0001848Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0002270Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0002698Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0003128Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0003724Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0004145Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0004571Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s)
2023-01-11T21:29:23.0004995Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s)
2023-01-11T21:29:23.0005417Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T21:29:23.0005824Z   test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T21:29:23.0006251Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0006686Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0007118Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0007534Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T21:29:23.0007970Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0008397Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0008890Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0009344Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:29:23.0009783Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s)
2023-01-11T21:29:23.0010217Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s)
2023-01-11T21:29:23.0010643Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T21:29:23.0011057Z   test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T21:29:23.0011446Z   test_embedding_dense_grad_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T21:29:23.0011814Z   test_embedding_max_norm_backward_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T21:29:23.0012213Z   test_embedding_max_norm_device_cpu_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:23.0012611Z   test_embedding_max_norm_device_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:23.0013011Z   test_embedding_max_norm_device_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:23.0013399Z   test_embedding_max_norm_fwd_AD_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.060s)
2023-01-11T21:29:23.0013771Z   test_embedding_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T21:29:23.0014121Z   test_embedding_scalar_weight_error_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T21:29:23.0014322Z 
2023-01-11T21:29:23.0014596Z ----------------------------------------------------------------------
2023-01-11T21:29:23.0014837Z Ran 140 tests in 4.948s
2023-01-11T21:29:23.0014954Z 
2023-01-11T21:29:23.0015014Z OK (skipped=8)
2023-01-11T21:29:23.0015121Z 
2023-01-11T21:29:23.0015206Z Generating XML reports...
2023-01-11T21:29:23.0015627Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20230111212917.xml
2023-01-11T21:29:23.0016188Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNNDeviceTypeCPU-20230111212917.xml
2023-01-11T21:29:23.0016443Z 
2023-01-11T21:29:23.0016756Z ##[endgroup]
2023-01-11T21:29:23.0017144Z FINISHED PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_e04p8a9_)
2023-01-11T21:29:23.0017363Z 
2023-01-11T21:29:24.7785888Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:24.9140291Z Ignoring disabled issues:  []
2023-01-11T21:29:24.9296803Z Running nn/test_multihead_attention ... [2023-01-11 21:29:24.929353]
2023-01-11T21:29:24.9298185Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_multihead_attention.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:29:24.929618]
2023-01-11T21:29:31.4811145Z 
2023-01-11T21:29:31.4812119Z Expand the folded group to see the log file of nn/test_multihead_attention
2023-01-11T21:29:31.4813288Z ##[group]PRINTING LOG FILE of nn/test_multihead_attention (/var/lib/jenkins/workspace/test/test-reports/nn-test_multihead_attention_bs16dm6q)
2023-01-11T21:29:31.4814201Z Test results will be stored in test-reports/python-unittest/nn.test_multihead_attention
2023-01-11T21:29:31.4814564Z 
2023-01-11T21:29:31.4814897Z Running tests...
2023-01-11T21:29:31.4815599Z ----------------------------------------------------------------------
2023-01-11T21:29:31.4816318Z   test_multihead_attention_average_attn_weights_False (__main__.TestMultiheadAttentionNN) ... ok (2.380s)
2023-01-11T21:29:31.4817338Z   test_multihead_attention_average_attn_weights_True (__main__.TestMultiheadAttentionNN) ... ok (2.366s)
2023-01-11T21:29:31.4818084Z   test_multihead_attn_3d_attn_mask (__main__.TestMultiheadAttentionNN) ... ok (0.008s)
2023-01-11T21:29:31.4818762Z   test_multihead_attn_fast_path_invalid_shape (__main__.TestMultiheadAttentionNN) ... ok (0.004s)
2023-01-11T21:29:31.4819432Z   test_multihead_attn_invalid_shape (__main__.TestMultiheadAttentionNN) ... ok (0.001s)
2023-01-11T21:29:31.4820579Z   test_multihead_attn_nested_tensor_outside_fast_path (__main__.TestMultiheadAttentionNN) ... nn/test_multihead_attention.py:494: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T21:29:31.4821629Z   nt = torch.nested.nested_tensor([torch.randn(4, 4)])
2023-01-11T21:29:31.4822034Z ok (0.003s)
2023-01-11T21:29:31.4822502Z   test_multihead_attn_no_bias (__main__.TestMultiheadAttentionNN) ... ok (0.001s)
2023-01-11T21:29:31.4823264Z   test_multihead_attention_dtype_batch_first_cpu_float16 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:31.4824189Z   test_multihead_attention_dtype_batch_first_cpu_float32 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:31.4825091Z   test_multihead_attention_dtype_batch_first_cpu_float64 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:31.4825989Z   test_multihead_attention_dtype_cpu_float16 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:31.4826851Z   test_multihead_attention_dtype_cpu_float32 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:31.4827742Z   test_multihead_attention_dtype_cpu_float64 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:29:31.4828683Z   test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T21:29:31.4829574Z   test_multihead_attn_fast_path_small_test_cpu_float64 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T21:29:31.4830387Z   test_multihead_attn_in_proj_bias_none_cpu_float64 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T21:29:31.4831214Z   test_multihead_attn_in_proj_weight_none_cpu_float64 (__main__.TestMultiheadAttentionNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T21:29:31.4832016Z   test_multihead_self_attn_two_masks_fast_path_cpu (__main__.TestMultiheadAttentionNNDeviceTypeCPU)
2023-01-11T21:29:31.4833029Z Multihead self-attention should give the same result on the fast path (BetterTransformer) as on the slow path ... ok (0.004s)
2023-01-11T21:29:31.4833916Z   test_multihead_self_attn_two_masks_fast_path_mock_cpu (__main__.TestMultiheadAttentionNNDeviceTypeCPU)
2023-01-11T21:29:31.4834811Z Multihead self-attention should take fast path when both attention mask (mask type 0) ... ok (0.003s)
2023-01-11T21:29:31.4835195Z 
2023-01-11T21:29:31.4835555Z ----------------------------------------------------------------------
2023-01-11T21:29:31.4836014Z Ran 19 tests in 4.784s
2023-01-11T21:29:31.4836213Z 
2023-01-11T21:29:31.4836345Z OK (skipped=6)
2023-01-11T21:29:31.4836547Z 
2023-01-11T21:29:31.4836719Z Generating XML reports...
2023-01-11T21:29:31.4837604Z Generated XML report: test-reports/python-unittest/nn.test_multihead_attention/TEST-TestMultiheadAttentionNN-20230111212926.xml
2023-01-11T21:29:31.4838822Z Generated XML report: test-reports/python-unittest/nn.test_multihead_attention/TEST-TestMultiheadAttentionNNDeviceTypeCPU-20230111212926.xml
2023-01-11T21:29:31.4839414Z 
2023-01-11T21:29:31.4839925Z ##[endgroup]
2023-01-11T21:29:31.4840853Z FINISHED PRINTING LOG FILE of nn/test_multihead_attention (/var/lib/jenkins/workspace/test/test-reports/nn-test_multihead_attention_bs16dm6q)
2023-01-11T21:29:31.4841319Z 
2023-01-11T21:29:33.2883603Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:33.4256726Z Ignoring disabled issues:  []
2023-01-11T21:29:33.4413604Z Running test_functionalization ... [2023-01-11 21:29:33.440978]
2023-01-11T21:29:33.4414868Z Executing ['/opt/conda/bin/python', '-bb', 'test_functionalization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:29:33.441215]
2023-01-11T21:29:48.2593025Z 
2023-01-11T21:29:48.2593638Z Expand the folded group to see the log file of test_functionalization
2023-01-11T21:29:48.2594684Z ##[group]PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_k3jig25v)
2023-01-11T21:29:48.2596375Z Test results will be stored in test-reports/python-unittest/test_functionalization
2023-01-11T21:29:48.2596813Z 
2023-01-11T21:29:48.2596937Z Running tests...
2023-01-11T21:29:48.2597453Z ----------------------------------------------------------------------
2023-01-11T21:29:48.2597997Z   test_advanced_indexing (__main__.TestCrossRefFunctionalization) ... ok (0.472s)
2023-01-11T21:29:48.2598637Z   test_advanced_indexing_correct_strides (__main__.TestCrossRefFunctionalization) ... ok (0.118s)
2023-01-11T21:29:48.2599957Z   test_aliases_maintained_after_pass_when_reapplying_views (__main__.TestCrossRefFunctionalization) ... test_functionalization.py:19: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:48.2600685Z   x_storage = StorageWeakRef(x.storage())
2023-01-11T21:29:48.2601213Z test_functionalization.py:20: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:48.2601715Z   y_storage = StorageWeakRef(y.storage())
2023-01-11T21:29:48.2601914Z ok (0.001s)
2023-01-11T21:29:48.2602164Z   test_as_strided (__main__.TestCrossRefFunctionalization) ... expected failure (0.006s)
2023-01-11T21:29:48.2602498Z   test_batch_norm (__main__.TestCrossRefFunctionalization) ... ok (0.840s)
2023-01-11T21:29:48.2602810Z   test_cat (__main__.TestCrossRefFunctionalization) ... ok (0.105s)
2023-01-11T21:29:48.2603120Z   test_copy_ (__main__.TestCrossRefFunctionalization) ... expected failure (0.029s)
2023-01-11T21:29:48.2603633Z   test_copy_stride_mismatch (__main__.TestCrossRefFunctionalization) ... ok (0.010s)
2023-01-11T21:29:48.2603983Z   test_diagonal (__main__.TestCrossRefFunctionalization) ... expected failure (0.011s)
2023-01-11T21:29:48.2604357Z   test_diagonal_mutated_input (__main__.TestCrossRefFunctionalization) ... expected failure (0.009s)
2023-01-11T21:29:48.2604711Z   test_everything (__main__.TestCrossRefFunctionalization) ... expected failure (0.014s)
2023-01-11T21:29:48.2605050Z   test_expand_symint (__main__.TestCrossRefFunctionalization) ... ok (0.038s)
2023-01-11T21:29:48.2605385Z   test_fill_ (__main__.TestCrossRefFunctionalization) ... expected failure (0.006s)
2023-01-11T21:29:48.2605693Z   test_freeze (__main__.TestCrossRefFunctionalization) ... ok (0.024s)
2023-01-11T21:29:48.2606027Z   test_index_mutation_on_non_input (__main__.TestCrossRefFunctionalization) ... ok (0.168s)
2023-01-11T21:29:48.2606370Z   test_inplace_on_non_view (__main__.TestCrossRefFunctionalization) ... ok (0.174s)
2023-01-11T21:29:48.2606696Z   test_instance_norm (__main__.TestCrossRefFunctionalization) ... ok (1.161s)
2023-01-11T21:29:48.2607009Z   test_metadata_change (__main__.TestCrossRefFunctionalization) ... ok (0.108s)
2023-01-11T21:29:48.2607525Z   test_metadata_change_out_op (__main__.TestCrossRefFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2607870Z   test_mixed_wrappers_invalid (__main__.TestCrossRefFunctionalization) ... ok (0.004s)
2023-01-11T21:29:48.2608259Z   test_mixed_wrappers_valid (__main__.TestCrossRefFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2609047Z   test_multi_out (__main__.TestCrossRefFunctionalization) ... test_functionalization.py:304: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2609755Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2023-01-11T21:29:48.2610423Z test_functionalization.py:304: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2611055Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2023-01-11T21:29:48.2611707Z test_functionalization.py:304: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2612325Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2023-01-11T21:29:48.2612963Z test_functionalization.py:304: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2613568Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2023-01-11T21:29:48.2614209Z test_functionalization.py:304: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2614837Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2023-01-11T21:29:48.2615035Z ok (0.170s)
2023-01-11T21:29:48.2615287Z   test_multiple_views_of_same_base (__main__.TestCrossRefFunctionalization) ... ok (0.081s)
2023-01-11T21:29:48.2615643Z   test_mutable_op_not_inplace_or_other (__main__.TestCrossRefFunctionalization) ... ok (0.063s)
2023-01-11T21:29:48.2616012Z   test_nested_functions_propagate_updates (__main__.TestCrossRefFunctionalization) ... ok (0.062s)
2023-01-11T21:29:48.2616346Z   test_only_one_view (__main__.TestCrossRefFunctionalization) ... ok (0.016s)
2023-01-11T21:29:48.2616676Z   test_optional_tensor_list (__main__.TestCrossRefFunctionalization) ... ok (0.194s)
2023-01-11T21:29:48.2617015Z   test_reapply_views_simple (__main__.TestCrossRefFunctionalization) ... ok (0.149s)
2023-01-11T21:29:48.2617391Z   test_resize_larger_invalid (__main__.TestCrossRefFunctionalization) ... ok (0.014s)
2023-01-11T21:29:48.2617715Z   test_resize_larger_valid (__main__.TestCrossRefFunctionalization) ... ok (0.197s)
2023-01-11T21:29:48.2618147Z   test_resize_smaller (__main__.TestCrossRefFunctionalization) ... ok (0.441s)
2023-01-11T21:29:48.2618477Z   test_save_for_backwards_segfault (__main__.TestCrossRefFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2618808Z   test_scalars (__main__.TestCrossRefFunctionalization) ... ok (0.169s)
2023-01-11T21:29:48.2619439Z   test_set_ (__main__.TestCrossRefFunctionalization) ... test_functionalization.py:149: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:48.2619970Z   y.set_(x.storage())
2023-01-11T21:29:48.2620132Z ok (0.001s)
2023-01-11T21:29:48.2620375Z   test_simple (__main__.TestCrossRefFunctionalization) ... ok (0.223s)
2023-01-11T21:29:48.2621147Z   test_simple_out (__main__.TestCrossRefFunctionalization) ... test_functionalization.py:266: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [4, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2621821Z   torch.add(y, tmp, out=z)
2023-01-11T21:29:48.2622756Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2023-01-11T21:29:48.2623333Z   warnings.warn(msg)
2023-01-11T21:29:48.2624227Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2023-01-11T21:29:48.2624799Z   warnings.warn(msg)
2023-01-11T21:29:48.2625691Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2023-01-11T21:29:48.2626275Z   warnings.warn(msg)
2023-01-11T21:29:48.2627153Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2023-01-11T21:29:48.2627712Z   warnings.warn(msg)
2023-01-11T21:29:48.2627882Z ok (0.203s)
2023-01-11T21:29:48.2628137Z   test_split (__main__.TestCrossRefFunctionalization) ... expected failure (0.013s)
2023-01-11T21:29:48.2628453Z   test_tensor_ctr (__main__.TestCrossRefFunctionalization) ... ok (0.144s)
2023-01-11T21:29:48.2628817Z   test_tensor_list_composite (__main__.TestCrossRefFunctionalization) ... ok (0.037s)
2023-01-11T21:29:48.2629215Z   test_tensor_list_mixed_functional_nonfunctional (__main__.TestCrossRefFunctionalization) ... ok (0.018s)
2023-01-11T21:29:48.2629740Z   test_view_clone_view_inplace (__main__.TestCrossRefFunctionalization) ... test_functionalization.py:185: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2023-01-11T21:29:48.2630171Z   with torch.autograd.detect_anomaly(check_nan=False):
2023-01-11T21:29:48.2630669Z /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: Error detected in SumBackward0. Traceback of forward call that caused the error:
2023-01-11T21:29:48.2631045Z   File "test_functionalization.py", line 1487, in <module>
2023-01-11T21:29:48.2631259Z     run_tests()
2023-01-11T21:29:48.2631605Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 790, in run_tests
2023-01-11T21:29:48.2631909Z     resultclass=XMLTestResultVerbose))
2023-01-11T21:29:48.2632178Z   File "/opt/conda/lib/python3.7/unittest/main.py", line 101, in __init__
2023-01-11T21:29:48.2632396Z     self.runTests()
2023-01-11T21:29:48.2632629Z   File "/opt/conda/lib/python3.7/unittest/main.py", line 271, in runTests
2023-01-11T21:29:48.2632886Z     self.result = testRunner.run(self.test)
2023-01-11T21:29:48.2633226Z   File "/opt/conda/lib/python3.7/site-packages/xmlrunner/runner.py", line 67, in run
2023-01-11T21:29:48.2633547Z     test(result)
2023-01-11T21:29:48.2633833Z   File "/opt/conda/lib/python3.7/unittest/suite.py", line 84, in __call__
2023-01-11T21:29:48.2634080Z     return self.run(*args, **kwds)
2023-01-11T21:29:48.2634314Z   File "/opt/conda/lib/python3.7/unittest/suite.py", line 122, in run
2023-01-11T21:29:48.2634537Z     test(result)
2023-01-11T21:29:48.2634764Z   File "/opt/conda/lib/python3.7/unittest/suite.py", line 84, in __call__
2023-01-11T21:29:48.2634993Z     return self.run(*args, **kwds)
2023-01-11T21:29:48.2635237Z   File "/opt/conda/lib/python3.7/unittest/suite.py", line 122, in run
2023-01-11T21:29:48.2635458Z     test(result)
2023-01-11T21:29:48.2635675Z   File "/opt/conda/lib/python3.7/unittest/case.py", line 676, in __call__
2023-01-11T21:29:48.2635913Z     return self.run(*args, **kwds)
2023-01-11T21:29:48.2636288Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2230, in run
2023-01-11T21:29:48.2636535Z     num_green=0)
2023-01-11T21:29:48.2636899Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2154, in _run_with_retry
2023-01-11T21:29:48.2637182Z     super().run(result=result)
2023-01-11T21:29:48.2637423Z   File "/opt/conda/lib/python3.7/unittest/case.py", line 628, in run
2023-01-11T21:29:48.2637633Z     testMethod()
2023-01-11T21:29:48.2637879Z   File "test_functionalization.py", line 186, in test_view_clone_view_inplace
2023-01-11T21:29:48.2638175Z     logs = self.get_logs(g, torch.ones(16, 64, 128, 128, requires_grad=True))
2023-01-11T21:29:48.2638436Z   File "test_functionalization.py", line 66, in get_logs
2023-01-11T21:29:48.2638761Z     traced_f = make_fx(_functionalize(func, reapply_views=reapply_views, crossref=self.crossref))(*inpts)
2023-01-11T21:29:48.2639215Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/experimental/proxy_tensor.py", line 692, in wrapped
2023-01-11T21:29:48.2639573Z     t = dispatch_trace(wrap_key(func, args, fx_tracer), tracer=fx_tracer, concrete_args=tuple(phs))
2023-01-11T21:29:48.2640011Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/experimental/proxy_tensor.py", line 431, in dispatch_trace
2023-01-11T21:29:48.2640330Z     graph = tracer.trace(root, concrete_args)
2023-01-11T21:29:48.2640691Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py", line 739, in trace
2023-01-11T21:29:48.2640949Z     (self.create_arg(fn(*args)),),
2023-01-11T21:29:48.2641379Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/experimental/proxy_tensor.py", line 447, in wrapped
2023-01-11T21:29:48.2641643Z     out = f(*tensors)
2023-01-11T21:29:48.2641852Z   File "<string>", line 1, in <lambda>
2023-01-11T21:29:48.2642099Z   File "test_functionalization.py", line 40, in wrapped
2023-01-11T21:29:48.2642332Z     out = f(*inputs_functional)
2023-01-11T21:29:48.2642564Z   File "test_functionalization.py", line 177, in g
2023-01-11T21:29:48.2642764Z     loss = f(x).sum()
2023-01-11T21:29:48.2643047Z  (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/python_anomaly_mode.cpp:119.)
2023-01-11T21:29:48.2643578Z   allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
2023-01-11T21:29:48.2643846Z expected failure (0.309s)
2023-01-11T21:29:48.2644128Z   test_view_inplace (__main__.TestCrossRefFunctionalization) ... expected failure (0.014s)
2023-01-11T21:29:48.2644462Z   test_advanced_indexing (__main__.TestFunctionalization) ... ok (0.071s)
2023-01-11T21:29:48.2644778Z   test_advanced_indexing_correct_strides (__main__.TestFunctionalization) ... ok (0.102s)
2023-01-11T21:29:48.2645459Z   test_aliases_maintained_after_pass_when_reapplying_views (__main__.TestFunctionalization) ... test_functionalization.py:19: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:48.2646048Z   x_storage = StorageWeakRef(x.storage())
2023-01-11T21:29:48.2646574Z test_functionalization.py:20: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:48.2647069Z   y_storage = StorageWeakRef(y.storage())
2023-01-11T21:29:48.2647252Z ok (0.001s)
2023-01-11T21:29:48.2647478Z   test_as_strided (__main__.TestFunctionalization) ... ok (0.095s)
2023-01-11T21:29:48.2647764Z   test_batch_norm (__main__.TestFunctionalization) ... ok (0.562s)
2023-01-11T21:29:48.2648027Z   test_cat (__main__.TestFunctionalization) ... ok (0.065s)
2023-01-11T21:29:48.2648296Z   test_copy_ (__main__.TestFunctionalization) ... ok (0.828s)
2023-01-11T21:29:48.2648588Z   test_copy_stride_mismatch (__main__.TestFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2648882Z   test_diagonal (__main__.TestFunctionalization) ... ok (0.194s)
2023-01-11T21:29:48.2649166Z   test_diagonal_mutated_input (__main__.TestFunctionalization) ... ok (0.110s)
2023-01-11T21:29:48.2649466Z   test_everything (__main__.TestFunctionalization) ... ok (1.060s)
2023-01-11T21:29:48.2649758Z   test_expand_symint (__main__.TestFunctionalization) ... ok (0.030s)
2023-01-11T21:29:48.2650028Z   test_fill_ (__main__.TestFunctionalization) ... ok (0.145s)
2023-01-11T21:29:48.2650299Z   test_freeze (__main__.TestFunctionalization) ... ok (0.009s)
2023-01-11T21:29:48.2650595Z   test_index_mutation_on_non_input (__main__.TestFunctionalization) ... ok (0.144s)
2023-01-11T21:29:48.2650893Z   test_inplace_on_non_view (__main__.TestFunctionalization) ... ok (0.140s)
2023-01-11T21:29:48.2651188Z   test_instance_norm (__main__.TestFunctionalization) ... ok (0.887s)
2023-01-11T21:29:48.2651484Z   test_metadata_change (__main__.TestFunctionalization) ... ok (0.100s)
2023-01-11T21:29:48.2651789Z   test_metadata_change_out_op (__main__.TestFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2652087Z   test_mixed_wrappers_invalid (__main__.TestFunctionalization) ... ok (0.004s)
2023-01-11T21:29:48.2652394Z   test_mixed_wrappers_valid (__main__.TestFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2653216Z   test_multi_out (__main__.TestFunctionalization) ... test_functionalization.py:304: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2653946Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2023-01-11T21:29:48.2654132Z ok (0.116s)
2023-01-11T21:29:48.2654376Z   test_multiple_views_of_same_base (__main__.TestFunctionalization) ... ok (0.075s)
2023-01-11T21:29:48.2654697Z   test_mutable_op_not_inplace_or_other (__main__.TestFunctionalization) ... ok (0.061s)
2023-01-11T21:29:48.2655030Z   test_nested_functions_propagate_updates (__main__.TestFunctionalization) ... ok (0.059s)
2023-01-11T21:29:48.2655332Z   test_only_one_view (__main__.TestFunctionalization) ... ok (0.015s)
2023-01-11T21:29:48.2655632Z   test_optional_tensor_list (__main__.TestFunctionalization) ... ok (0.131s)
2023-01-11T21:29:48.2655936Z   test_reapply_views_simple (__main__.TestFunctionalization) ... ok (0.126s)
2023-01-11T21:29:48.2656232Z   test_resize_larger_invalid (__main__.TestFunctionalization) ... ok (0.004s)
2023-01-11T21:29:48.2656536Z   test_resize_larger_valid (__main__.TestFunctionalization) ... ok (0.193s)
2023-01-11T21:29:48.2656835Z   test_resize_smaller (__main__.TestFunctionalization) ... ok (0.469s)
2023-01-11T21:29:48.2657142Z   test_save_for_backwards_segfault (__main__.TestFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2657425Z   test_scalars (__main__.TestFunctionalization) ... ok (0.144s)
2023-01-11T21:29:48.2658023Z   test_set_ (__main__.TestFunctionalization) ... test_functionalization.py:149: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:29:48.2658541Z   y.set_(x.storage())
2023-01-11T21:29:48.2658711Z ok (0.001s)
2023-01-11T21:29:48.2658923Z   test_simple (__main__.TestFunctionalization) ... ok (0.192s)
2023-01-11T21:29:48.2659661Z   test_simple_out (__main__.TestFunctionalization) ... test_functionalization.py:266: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [4, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:29:48.2660316Z   torch.add(y, tmp, out=z)
2023-01-11T21:29:48.2660493Z ok (0.143s)
2023-01-11T21:29:48.2660699Z   test_split (__main__.TestFunctionalization) ... ok (0.249s)
2023-01-11T21:29:48.2660978Z   test_tensor_ctr (__main__.TestFunctionalization) ... ok (0.145s)
2023-01-11T21:29:48.2661271Z   test_tensor_list_composite (__main__.TestFunctionalization) ... ok (0.027s)
2023-01-11T21:29:48.2661593Z   test_tensor_list_mixed_functional_nonfunctional (__main__.TestFunctionalization) ... ok (0.001s)
2023-01-11T21:29:48.2662080Z   test_view_clone_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:185: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2023-01-11T21:29:48.2662513Z   with torch.autograd.detect_anomaly(check_nan=False):
2023-01-11T21:29:48.2662724Z ok (0.532s)
2023-01-11T21:29:48.2662939Z   test_view_inplace (__main__.TestFunctionalization) ... ok (0.183s)
2023-01-11T21:29:48.2663103Z 
2023-01-11T21:29:48.2663325Z ----------------------------------------------------------------------
2023-01-11T21:29:48.2663570Z Ran 84 tests in 13.255s
2023-01-11T21:29:48.2663720Z 
2023-01-11T21:29:48.2663789Z OK (expected failures=9)
2023-01-11T21:29:48.2663907Z 
2023-01-11T21:29:48.2663990Z Generating XML reports...
2023-01-11T21:29:48.2664498Z Generated XML report: test-reports/python-unittest/test_functionalization/TEST-TestCrossRefFunctionalization-20230111212934.xml
2023-01-11T21:29:48.2665095Z Generated XML report: test-reports/python-unittest/test_functionalization/TEST-TestFunctionalization-20230111212934.xml
2023-01-11T21:29:48.2665347Z 
2023-01-11T21:29:48.2665657Z ##[endgroup]
2023-01-11T21:29:48.2666069Z FINISHED PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_k3jig25v)
2023-01-11T21:29:48.2666307Z 
2023-01-11T21:29:50.0353893Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:50.1733701Z Ignoring disabled issues:  []
2023-01-11T21:29:50.1891250Z Running test_weak ... [2023-01-11 21:29:50.188857]
2023-01-11T21:29:50.1893678Z Executing ['/opt/conda/bin/python', '-bb', 'test_weak.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:29:50.189148]
2023-01-11T21:29:54.8971364Z 
2023-01-11T21:29:54.8971859Z Expand the folded group to see the log file of test_weak
2023-01-11T21:29:54.8972792Z ##[group]PRINTING LOG FILE of test_weak (/var/lib/jenkins/workspace/test/test-reports/test_weak_d4cwkz2l)
2023-01-11T21:29:54.8973324Z Test results will be stored in test-reports/python-unittest/test_weak
2023-01-11T21:29:54.8973500Z 
2023-01-11T21:29:54.8973573Z Running tests...
2023-01-11T21:29:54.8973870Z ----------------------------------------------------------------------
2023-01-11T21:29:54.8974168Z   test_bool (__main__.WeakKeyDictionaryTestCase) ... ok (0.248s)
2023-01-11T21:29:54.8974469Z   test_constructor (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8974753Z   test_get (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8975050Z   test_getitem (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8975347Z   test_items (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8975632Z   test_keys (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8975902Z   test_len (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8976185Z   test_pop (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8976474Z   test_popitem (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8976750Z   test_read (__main__.WeakKeyDictionaryTestCase) ... ok (0.002s)
2023-01-11T21:29:54.8977042Z   test_setdefault (__main__.WeakKeyDictionaryTestCase) ... ok (0.000s)
2023-01-11T21:29:54.8977337Z   test_update (__main__.WeakKeyDictionaryTestCase) ... ok (0.004s)
2023-01-11T21:29:54.8977612Z   test_values (__main__.WeakKeyDictionaryTestCase) ... ok (0.001s)
2023-01-11T21:29:54.8977899Z   test_write (__main__.WeakKeyDictionaryTestCase) ... ok (0.006s)
2023-01-11T21:29:54.8978180Z   test_make_weak_keyed_dict_from_dict (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8978475Z   test_make_weak_keyed_dict_from_weak_keyed_dict (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8978752Z   test_make_weak_keyed_dict_repr (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8979029Z   test_threaded_weak_key_dict_copy (__main__.WeakTest) ... ok (1.349s)
2023-01-11T21:29:54.8979312Z   test_threaded_weak_key_dict_deepcopy (__main__.WeakTest) ... ok (1.582s)
2023-01-11T21:29:54.8979580Z   test_weak_keyed_bad_delitem (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8979837Z   test_weak_keyed_delitem (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8980098Z   test_weak_keyed_dict_popitem (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8980371Z   test_weak_keyed_dict_setdefault (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8980629Z   test_weak_keyed_dict_update (__main__.WeakTest) ... ok (0.001s)
2023-01-11T21:29:54.8980949Z   test_weak_keyed_union_operators (__main__.WeakTest) ... skip: dict union not supported in this Python (0.002s)
2023-01-11T21:29:54.8981365Z 
2023-01-11T21:29:54.8981566Z ----------------------------------------------------------------------
2023-01-11T21:29:54.8981795Z Ran 25 tests in 3.207s
2023-01-11T21:29:54.8981908Z 
2023-01-11T21:29:54.8982037Z OK (skipped=1)
2023-01-11T21:29:54.8982145Z 
2023-01-11T21:29:54.8982231Z Generating XML reports...
2023-01-11T21:29:54.8982675Z Generated XML report: test-reports/python-unittest/test_weak/TEST-WeakKeyDictionaryTestCase-20230111212951.xml
2023-01-11T21:29:54.8983160Z Generated XML report: test-reports/python-unittest/test_weak/TEST-WeakTest-20230111212951.xml
2023-01-11T21:29:54.8983362Z 
2023-01-11T21:29:54.8983598Z ##[endgroup]
2023-01-11T21:29:54.8983955Z FINISHED PRINTING LOG FILE of test_weak (/var/lib/jenkins/workspace/test/test-reports/test_weak_d4cwkz2l)
2023-01-11T21:29:54.8984143Z 
2023-01-11T21:29:56.7219151Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:29:56.8604505Z Ignoring disabled issues:  []
2023-01-11T21:29:56.8761763Z Running profiler/test_memory_profiler ... [2023-01-11 21:29:56.875898]
2023-01-11T21:29:56.8764585Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:29:56.876198]
2023-01-11T21:30:01.6286149Z 
2023-01-11T21:30:01.6286911Z Expand the folded group to see the log file of profiler/test_memory_profiler
2023-01-11T21:30:01.6287974Z ##[group]PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_b28fnkhi)
2023-01-11T21:30:01.6288648Z Test results will be stored in test-reports/python-unittest/profiler.test_memory_profiler
2023-01-11T21:30:01.6288894Z 
2023-01-11T21:30:01.6288982Z Running tests...
2023-01-11T21:30:01.6289282Z ----------------------------------------------------------------------
2023-01-11T21:30:01.6292798Z   test_data_flow_graph_complicated (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6293443Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6294010Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6294774Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6295472Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6296270Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6296875Z profiler/test_memory_profiler.py:336: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6298023Z   lines.append(f"{name + ':':<8} T{storage_to_id[t.storage().data_ptr()]}")
2023-01-11T21:30:01.6298314Z ok (0.333s)
2023-01-11T21:30:01.6298878Z   test_data_flow_graph_non_op_allocations (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6299933Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6300900Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6301466Z ok (0.057s)
2023-01-11T21:30:01.6302388Z   test_data_flow_graph_simple (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6303436Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6304418Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6305641Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6306662Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6307646Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6310245Z profiler/test_memory_profiler.py:337: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T21:30:01.6311778Z   if t.grad is not None:
2023-01-11T21:30:01.6312166Z ok (0.098s)
2023-01-11T21:30:01.6313155Z   test_data_flow_graph_simple_backward (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6315690Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6316389Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6317513Z profiler/test_memory_profiler.py:338: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6318717Z   grad_id = storage_to_id[t.grad.storage().data_ptr()]
2023-01-11T21:30:01.6319182Z ok (0.053s)
2023-01-11T21:30:01.6320224Z   test_data_flow_graph_simple_inplace (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6321309Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6322301Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6323256Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6324341Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6325316Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6325868Z ok (0.098s)
2023-01-11T21:30:01.6326818Z   test_data_flow_graph_stacked (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6327856Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6328829Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6329773Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6330706Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6331645Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6333966Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6334387Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6337513Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6338169Z ok (0.178s)
2023-01-11T21:30:01.6349721Z   test_data_flow_graph_with_annotations (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6351157Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6352181Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6352757Z ok (0.056s)
2023-01-11T21:30:01.6353713Z   test_match_schemas (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6354793Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6355793Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6356371Z ok (0.007s)
2023-01-11T21:30:01.6357320Z   test_match_schemas_backward (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6358381Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6359369Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6359943Z ok (0.005s)
2023-01-11T21:30:01.6360899Z   test_match_schemas_tensorlist (__main__.TestDataFlow) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6361979Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6363063Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6364010Z ok (0.002s)
2023-01-11T21:30:01.6365065Z   test_extract_gradients_from_module (__main__.TestIdentifyGradients) ... STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6366159Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6367138Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6368107Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6369588Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6370552Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6371509Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6372461Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6373434Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6374350Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6375283Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6376251Z STAGE:2023-01-11 21:29:58 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6377703Z profiler/test_memory_profiler.py:117: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6379001Z   return tensor.storage().data_ptr() == key.storage.ptr
2023-01-11T21:30:01.6380283Z profiler/test_memory_profiler.py:147: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6381409Z   allowed_set = {t.storage().data_ptr() for t in tensors}
2023-01-11T21:30:01.6381851Z ok (0.035s)
2023-01-11T21:30:01.6382942Z   test_extract_gradients_from_module_and_optimizer (__main__.TestIdentifyGradients) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6384071Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6385042Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6385608Z ok (0.008s)
2023-01-11T21:30:01.6386624Z   test_extract_gradients_from_optimizer (__main__.TestIdentifyGradients) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6387739Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6388706Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6389623Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6390568Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6391548Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6392498Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6393488Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6394469Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6395421Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6396360Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6397305Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6397724Z ok (0.040s)
2023-01-11T21:30:01.6398616Z   test_extract_gradients_from_optimizer_set_to_none (__main__.TestIdentifyGradients) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6399192Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6399639Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6400074Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6400506Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6400933Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6401368Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6401792Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6402230Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6402644Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6403153Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6403809Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6404061Z ok (0.047s)
2023-01-11T21:30:01.6404529Z   test_extract_gradients_low_level (__main__.TestIdentifyGradients) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6405028Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6405468Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6405883Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6406312Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6406759Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6407014Z ok (0.011s)
2023-01-11T21:30:01.6407432Z   test_config_check (__main__.TestMemoryProfiler) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6407910Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6408350Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6408768Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6409195Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6409633Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6410062Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6410479Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6410914Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6411172Z ok (0.004s)
2023-01-11T21:30:01.6411620Z   test_categories_e2e_sequential_fwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6412127Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6412566Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6413156Z profiler/test_memory_profiler.py:81: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6413682Z   if isinstance(t, torch.Tensor) and t.storage()
2023-01-11T21:30:01.6413872Z ok (0.097s)
2023-01-11T21:30:01.6414349Z   test_categories_e2e_sequential_fwd_bwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6414857Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6415288Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6415551Z ok (0.331s)
2023-01-11T21:30:01.6416006Z   test_categories_e2e_simple_fwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6416558Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6417014Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6417278Z ok (0.037s)
2023-01-11T21:30:01.6417747Z   test_categories_e2e_simple_fwd_bwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6418251Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6418677Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6418934Z ok (0.190s)
2023-01-11T21:30:01.6419401Z   test_categories_e2e_simple_fwd_bwd_step (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6419895Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6420343Z STAGE:2023-01-11 21:29:59 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6420601Z ok (0.232s)
2023-01-11T21:30:01.6421062Z   test_categories_e2e_simple_module_fwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6421547Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6421992Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6422253Z ok (0.029s)
2023-01-11T21:30:01.6422711Z   test_categories_e2e_simple_module_fwd_bwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6423220Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6423664Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6423922Z ok (0.123s)
2023-01-11T21:30:01.6424388Z   test_categories_e2e_simple_module_fwd_bwd_step (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6424904Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6425343Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6425598Z ok (0.203s)
2023-01-11T21:30:01.6426015Z   test_inputs_fwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6426500Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6426944Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6427539Z profiler/test_memory_profiler.py:828: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6428006Z   storage = t.storage()
2023-01-11T21:30:01.6428508Z profiler/test_memory_profiler.py:836: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:01.6429110Z   if key.storage.ptr == storage.data_ptr() and key.device == storage.device
2023-01-11T21:30:01.6429351Z ok (0.028s)
2023-01-11T21:30:01.6429817Z   test_inputs_fwd_bwd (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6430312Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6430762Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6431023Z ok (0.154s)
2023-01-11T21:30:01.6431449Z   test_inputs_fwd_lazy (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6431935Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6432388Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6432636Z ok (0.030s)
2023-01-11T21:30:01.6433082Z   test_lazily_initialized (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6433663Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6434114Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6434365Z ok (0.079s)
2023-01-11T21:30:01.6434817Z   test_manual_optimizer_step (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6435314Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6435763Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6436018Z ok (0.041s)
2023-01-11T21:30:01.6436466Z   test_memory_timeline (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6436957Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6437388Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6437649Z ok (0.191s)
2023-01-11T21:30:01.6438111Z   test_parameters_and_gradients (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6438610Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6439035Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6439472Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6439903Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6440340Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6440774Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6441204Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6441649Z STAGE:2023-01-11 21:30:00 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6442074Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6442503Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6442995Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6443252Z ok (0.159s)
2023-01-11T21:30:01.6443933Z   test_parameters_and_gradients_set_to_none (__main__.TestMemoryProfilerE2E) ... STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6444465Z [W CPUAllocator.cpp:231] Memory block of unknown size was allocated before the profiling started, profiler results will not include the deallocation event
2023-01-11T21:30:01.6444973Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6445425Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6445850Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T21:30:01.6446289Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T21:30:01.6446738Z STAGE:2023-01-11 21:30:01 8399:8399 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T21:30:01.6447007Z ok (0.238s)
2023-01-11T21:30:01.6447097Z 
2023-01-11T21:30:01.6447302Z ----------------------------------------------------------------------
2023-01-11T21:30:01.6447553Z Ran 32 tests in 3.199s
2023-01-11T21:30:01.6447670Z 
2023-01-11T21:30:01.6447732Z OK
2023-01-11T21:30:01.6447810Z 
2023-01-11T21:30:01.6447894Z Generating XML reports...
2023-01-11T21:30:01.6448325Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20230111212958.xml
2023-01-11T21:30:01.6448892Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20230111212958.xml
2023-01-11T21:30:01.6449536Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20230111212958.xml
2023-01-11T21:30:01.6450108Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfilerE2E-20230111212958.xml
2023-01-11T21:30:01.6450362Z 
2023-01-11T21:30:01.6450723Z ##[endgroup]
2023-01-11T21:30:01.6451173Z FINISHED PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_b28fnkhi)
2023-01-11T21:30:01.6451421Z 
2023-01-11T21:30:03.4472342Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:03.5830728Z Ignoring disabled issues:  []
2023-01-11T21:30:03.5988916Z Running test_import_stats ... [2023-01-11 21:30:03.598503]
2023-01-11T21:30:03.5990060Z Executing ['/opt/conda/bin/python', '-bb', 'test_import_stats.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:03.598744]
2023-01-11T21:30:07.8681796Z 
2023-01-11T21:30:07.8682333Z Expand the folded group to see the log file of test_import_stats
2023-01-11T21:30:07.8683650Z ##[group]PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_auo75ny5)
2023-01-11T21:30:07.8684543Z Test results will be stored in test-reports/python-unittest/test_import_stats
2023-01-11T21:30:07.8684869Z 
2023-01-11T21:30:07.8685005Z Running tests...
2023-01-11T21:30:07.8685557Z ----------------------------------------------------------------------
2023-01-11T21:30:07.8686074Z   test_time_cuda_device_count (__main__.TestImportTime) ... ok (1.495s)
2023-01-11T21:30:07.8686354Z   test_time_import_torch (__main__.TestImportTime) ... ok (1.242s)
2023-01-11T21:30:07.8686509Z 
2023-01-11T21:30:07.8686706Z ----------------------------------------------------------------------
2023-01-11T21:30:07.8686940Z Ran 2 tests in 2.738s
2023-01-11T21:30:07.8687062Z 
2023-01-11T21:30:07.8687108Z OK
2023-01-11T21:30:07.8687197Z 
2023-01-11T21:30:07.8687278Z Generating XML reports...
2023-01-11T21:30:07.8687692Z Generated XML report: test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20230111213004.xml
2023-01-11T21:30:07.8688126Z 
2023-01-11T21:30:07.8688355Z ##[endgroup]
2023-01-11T21:30:07.8688742Z FINISHED PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_auo75ny5)
2023-01-11T21:30:07.8689032Z 
2023-01-11T21:30:09.6455152Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:09.7811706Z Ignoring disabled issues:  []
2023-01-11T21:30:09.7971337Z Running test_module_init ... [2023-01-11 21:30:09.796754]
2023-01-11T21:30:09.7972308Z Executing ['/opt/conda/bin/python', '-bb', 'test_module_init.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:09.796990]
2023-01-11T21:30:14.5179582Z 
2023-01-11T21:30:14.5180697Z Expand the folded group to see the log file of test_module_init
2023-01-11T21:30:14.5181962Z ##[group]PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_dlovl1q9)
2023-01-11T21:30:14.5182826Z Test results will be stored in test-reports/python-unittest/test_module_init
2023-01-11T21:30:14.5183179Z 
2023-01-11T21:30:14.5183304Z Running tests...
2023-01-11T21:30:14.5183818Z ----------------------------------------------------------------------
2023-01-11T21:30:14.5184393Z   test_nn_AdaptiveAvgPool1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5184976Z   test_nn_AdaptiveAvgPool1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5185552Z   test_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5186105Z   test_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5186663Z   test_nn_AdaptiveAvgPool3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5187233Z   test_nn_AdaptiveAvgPool3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5187858Z   test_nn_AdaptiveLogSoftmaxWithLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.005s)
2023-01-11T21:30:14.5188484Z   test_nn_AdaptiveLogSoftmaxWithLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5189091Z   test_nn_AdaptiveMaxPool1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5189666Z   test_nn_AdaptiveMaxPool1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5190223Z   test_nn_AdaptiveMaxPool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5190735Z   test_nn_AdaptiveMaxPool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5191296Z   test_nn_AdaptiveMaxPool3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5191796Z   test_nn_AdaptiveMaxPool3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5192307Z   test_nn_AlphaDropout_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5192858Z   test_nn_AlphaDropout_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5193512Z   test_nn_AvgPool1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5194023Z   test_nn_AvgPool1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5194496Z   test_nn_AvgPool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5194989Z   test_nn_AvgPool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5195501Z   test_nn_AvgPool3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5196000Z   test_nn_AvgPool3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5196515Z   test_nn_BCELoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5197022Z   test_nn_BCELoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5197549Z   test_nn_BCEWithLogitsLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5198115Z   test_nn_BCEWithLogitsLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5198904Z   test_nn_BatchNorm1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5199515Z   test_nn_BatchNorm1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5200027Z   test_nn_BatchNorm2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5200541Z   test_nn_BatchNorm2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5201069Z   test_nn_BatchNorm3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5201576Z   test_nn_BatchNorm3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5202119Z   test_nn_Bilinear_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5202626Z   test_nn_Bilinear_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5203126Z   test_nn_CELU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5203845Z   test_nn_CELU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5204348Z   test_nn_CTCLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5204864Z   test_nn_CTCLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5205380Z   test_nn_ChannelShuffle_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5205929Z   test_nn_ChannelShuffle_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5206478Z   test_nn_ConstantPad1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5207020Z   test_nn_ConstantPad1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5207539Z   test_nn_ConstantPad2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5208070Z   test_nn_ConstantPad2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5208600Z   test_nn_ConstantPad3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5209215Z   test_nn_ConstantPad3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5209725Z   test_nn_Conv1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5210243Z   test_nn_Conv1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5210749Z   test_nn_Conv2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5211243Z   test_nn_Conv2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5211725Z   test_nn_Conv3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5212215Z   test_nn_Conv3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5212743Z   test_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5213283Z   test_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5213835Z   test_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5214383Z   test_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5214931Z   test_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5215462Z   test_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5216032Z   test_nn_CosineEmbeddingLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5216613Z   test_nn_CosineEmbeddingLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5217164Z   test_nn_CosineSimilarity_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5217716Z   test_nn_CosineSimilarity_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5218276Z   test_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5218947Z   test_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5219481Z   test_nn_CrossMapLRN2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5220099Z   test_nn_CrossMapLRN2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5220635Z   test_nn_Dropout1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5221141Z   test_nn_Dropout1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5221658Z   test_nn_Dropout2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5222178Z   test_nn_Dropout2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5222692Z   test_nn_Dropout3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5223188Z   test_nn_Dropout3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5223744Z   test_nn_Dropout_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5224255Z   test_nn_Dropout_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5224741Z   test_nn_ELU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5225241Z   test_nn_ELU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5225757Z   test_nn_EmbeddingBag_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5226294Z   test_nn_EmbeddingBag_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5226808Z   test_nn_Embedding_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5227330Z   test_nn_Embedding_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5227887Z   test_nn_FeatureAlphaDropout_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5228458Z   test_nn_FeatureAlphaDropout_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5229001Z   test_nn_Flatten_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5229511Z   test_nn_Flatten_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5230011Z   test_nn_Fold_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5230491Z   test_nn_Fold_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5231028Z   test_nn_FractionalMaxPool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5231611Z   test_nn_FractionalMaxPool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5232178Z   test_nn_FractionalMaxPool3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5232756Z   test_nn_FractionalMaxPool3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5233292Z   test_nn_GELU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5233877Z   test_nn_GELU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5234373Z   test_nn_GLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5234871Z   test_nn_GLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5235376Z   test_nn_GRUCell_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5235866Z   test_nn_GRUCell_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5236365Z   test_nn_GRU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5236854Z   test_nn_GRU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5237361Z   test_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5237916Z   test_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5238457Z   test_nn_GroupNorm_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5238981Z   test_nn_GroupNorm_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5239560Z   test_nn_Hardshrink_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5240087Z   test_nn_Hardshrink_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5240672Z   test_nn_Hardsigmoid_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5241191Z   test_nn_Hardsigmoid_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5241718Z   test_nn_Hardswish_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5242240Z   test_nn_Hardswish_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5242758Z   test_nn_Hardtanh_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5243257Z   test_nn_Hardtanh_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5243934Z   test_nn_HingeEmbeddingLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5244516Z   test_nn_HingeEmbeddingLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5244999Z   test_nn_HuberLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5245537Z   test_nn_HuberLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5245989Z   test_nn_Identity_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5246494Z   test_nn_Identity_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5247011Z   test_nn_InstanceNorm1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5247558Z   test_nn_InstanceNorm1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5248103Z   test_nn_InstanceNorm2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5248626Z   test_nn_InstanceNorm2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5249176Z   test_nn_InstanceNorm3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5249719Z   test_nn_InstanceNorm3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5250251Z   test_nn_KLDivLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5250767Z   test_nn_KLDivLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5251279Z   test_nn_L1Loss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5251780Z   test_nn_L1Loss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5252275Z   test_nn_LPPool1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5252795Z   test_nn_LPPool1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5253306Z   test_nn_LPPool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5253816Z   test_nn_LPPool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5254316Z   test_nn_LSTMCell_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5254824Z   test_nn_LSTMCell_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5255476Z   test_nn_LSTM_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5255962Z   test_nn_LSTM_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5256473Z   test_nn_LayerNorm_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5256990Z   test_nn_LayerNorm_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5258322Z   test_nn_LazyBatchNorm1d_cpu_float32 (__main__.TestModuleInitCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2023-01-11T21:30:14.5259304Z   warnings.warn('Lazy modules are a new feature under heavy development '
2023-01-11T21:30:14.5259837Z ok (0.004s)
2023-01-11T21:30:14.5260264Z   test_nn_LazyBatchNorm1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5260828Z   test_nn_LazyBatchNorm2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5261439Z   test_nn_LazyBatchNorm2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5261999Z   test_nn_LazyBatchNorm3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5262549Z   test_nn_LazyBatchNorm3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5263069Z   test_nn_LazyConv1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5263594Z   test_nn_LazyConv1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5264121Z   test_nn_LazyConv2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5264644Z   test_nn_LazyConv2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5265159Z   test_nn_LazyConv3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5265683Z   test_nn_LazyConv3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5266238Z   test_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5266799Z   test_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5267378Z   test_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5267958Z   test_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5268531Z   test_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5269097Z   test_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5269667Z   test_nn_LazyInstanceNorm1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5270238Z   test_nn_LazyInstanceNorm1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5270788Z   test_nn_LazyInstanceNorm2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5271347Z   test_nn_LazyInstanceNorm2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5271909Z   test_nn_LazyInstanceNorm3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5272470Z   test_nn_LazyInstanceNorm3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5272993Z   test_nn_LazyLinear_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5273580Z   test_nn_LazyLinear_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5274107Z   test_nn_LeakyReLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5274612Z   test_nn_LeakyReLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5275121Z   test_nn_Linear_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5275629Z   test_nn_Linear_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5276168Z   test_nn_LocalResponseNorm_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5276722Z   test_nn_LocalResponseNorm_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5277268Z   test_nn_LogSigmoid_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5277787Z   test_nn_LogSigmoid_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5278294Z   test_nn_LogSoftmax_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5278960Z   test_nn_LogSoftmax_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5279454Z   test_nn_MSELoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5279959Z   test_nn_MSELoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5280582Z   test_nn_MarginRankingLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5281152Z   test_nn_MarginRankingLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5281742Z   test_nn_MaxPool1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5282259Z   test_nn_MaxPool1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5282773Z   test_nn_MaxPool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5283264Z   test_nn_MaxPool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5283919Z   test_nn_MaxPool3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5284430Z   test_nn_MaxPool3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5284952Z   test_nn_MaxUnpool1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5285465Z   test_nn_MaxUnpool1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5285990Z   test_nn_MaxUnpool2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5286513Z   test_nn_MaxUnpool2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5287025Z   test_nn_MaxUnpool3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5287540Z   test_nn_MaxUnpool3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5288044Z   test_nn_Mish_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5288537Z   test_nn_Mish_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5289028Z   test_nn_ModuleDict_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5289544Z   test_nn_ModuleDict_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5290059Z   test_nn_ModuleList_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5290563Z   test_nn_ModuleList_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5291117Z   test_nn_MultiLabelMarginLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5291704Z   test_nn_MultiLabelMarginLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5292301Z   test_nn_MultiLabelSoftMarginLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5292893Z   test_nn_MultiLabelSoftMarginLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5293470Z   test_nn_MultiMarginLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5294018Z   test_nn_MultiMarginLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5294564Z   test_nn_MultiheadAttention_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5295135Z   test_nn_MultiheadAttention_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5295666Z   test_nn_NLLLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5296173Z   test_nn_NLLLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5296663Z   test_nn_PReLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5297163Z   test_nn_PReLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5297706Z   test_nn_PairwiseDistance_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5298250Z   test_nn_PairwiseDistance_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5298799Z   test_nn_ParameterDict_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5299339Z   test_nn_ParameterDict_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5299876Z   test_nn_ParameterList_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5300398Z   test_nn_ParameterList_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5301041Z   test_nn_PixelShuffle_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5301644Z   test_nn_PixelShuffle_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5302173Z   test_nn_PixelUnshuffle_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5302719Z   test_nn_PixelUnshuffle_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5303267Z   test_nn_PoissonNLLLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5303814Z   test_nn_PoissonNLLLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5304324Z   test_nn_RNNBase_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5304835Z   test_nn_RNNBase_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5305353Z   test_nn_RNNCellBase_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5305866Z   test_nn_RNNCellBase_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5306381Z   test_nn_RNNCell_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5306896Z   test_nn_RNNCell_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5307392Z   test_nn_RNN_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5307866Z   test_nn_RNN_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5308366Z   test_nn_RReLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5308865Z   test_nn_RReLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5309349Z   test_nn_ReLU6_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5309846Z   test_nn_ReLU6_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5310341Z   test_nn_ReLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5310813Z   test_nn_ReLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5311374Z   test_nn_ReflectionPad1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5311878Z   test_nn_ReflectionPad1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5312361Z   test_nn_ReflectionPad2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5312859Z   test_nn_ReflectionPad2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5313458Z   test_nn_ReflectionPad3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5314021Z   test_nn_ReflectionPad3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5314573Z   test_nn_ReplicationPad1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5315154Z   test_nn_ReplicationPad1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5315753Z   test_nn_ReplicationPad2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5316329Z   test_nn_ReplicationPad2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5316881Z   test_nn_ReplicationPad3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5317454Z   test_nn_ReplicationPad3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5317993Z   test_nn_SELU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5318466Z   test_nn_SELU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5318959Z   test_nn_Sequential_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5319490Z   test_nn_Sequential_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5320007Z   test_nn_SiLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5320497Z   test_nn_SiLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5321124Z   test_nn_Sigmoid_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5321648Z   test_nn_Sigmoid_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5322249Z   test_nn_SmoothL1Loss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5322798Z   test_nn_SmoothL1Loss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5323474Z   test_nn_SoftMarginLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5324019Z   test_nn_SoftMarginLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5324546Z   test_nn_Softmax2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5325060Z   test_nn_Softmax2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5325579Z   test_nn_Softmax_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5326090Z   test_nn_Softmax_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5326604Z   test_nn_Softmin_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5327123Z   test_nn_Softmin_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5327639Z   test_nn_Softplus_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5328146Z   test_nn_Softplus_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5328675Z   test_nn_Softshrink_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5329204Z   test_nn_Softshrink_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5329718Z   test_nn_Softsign_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5330242Z   test_nn_Softsign_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5330759Z   test_nn_SyncBatchNorm_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5331317Z   test_nn_SyncBatchNorm_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5331831Z   test_nn_Tanh_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5332350Z   test_nn_Tanh_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5332879Z   test_nn_Tanhshrink_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5333397Z   test_nn_Tanhshrink_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5333927Z   test_nn_Threshold_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5334452Z   test_nn_Threshold_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5335012Z   test_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.006s)
2023-01-11T21:30:14.5335630Z   test_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.006s)
2023-01-11T21:30:14.5336228Z   test_nn_TransformerDecoder_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.007s)
2023-01-11T21:30:14.5336803Z   test_nn_TransformerDecoder_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.007s)
2023-01-11T21:30:14.5354290Z   test_nn_TransformerEncoderLayer_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.005s)
2023-01-11T21:30:14.5354934Z   test_nn_TransformerEncoderLayer_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.006s)
2023-01-11T21:30:14.5355536Z   test_nn_TransformerEncoder_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.007s)
2023-01-11T21:30:14.5356104Z   test_nn_TransformerEncoder_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.006s)
2023-01-11T21:30:14.5356662Z   test_nn_Transformer_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.672s)
2023-01-11T21:30:14.5357201Z   test_nn_Transformer_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.899s)
2023-01-11T21:30:14.5357745Z   test_nn_TripletMarginLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5358452Z   test_nn_TripletMarginLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5359085Z   test_nn_TripletMarginWithDistanceLoss_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5359836Z   test_nn_TripletMarginWithDistanceLoss_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5360420Z   test_nn_Unflatten_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5360952Z   test_nn_Unflatten_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5361465Z   test_nn_Unfold_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5361961Z   test_nn_Unfold_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5362470Z   test_nn_Upsample_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5363001Z   test_nn_Upsample_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5363705Z   test_nn_UpsamplingBilinear2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5364264Z   test_nn_UpsamplingBilinear2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5364862Z   test_nn_UpsamplingNearest2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5365455Z   test_nn_UpsamplingNearest2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5366007Z   test_nn_ZeroPad2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5366536Z   test_nn_ZeroPad2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5367059Z   test_qat_Conv1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5367572Z   test_qat_Conv1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5368064Z   test_qat_Conv2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5368577Z   test_qat_Conv2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5369091Z   test_qat_Conv3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5369583Z   test_qat_Conv3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5370054Z   test_qat_EmbeddingBag_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5370545Z   test_qat_EmbeddingBag_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5370989Z   test_qat_Embedding_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5371444Z   test_qat_Embedding_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5371924Z   test_qat_Linear_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5372347Z   test_qat_Linear_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5372783Z   test_quantizable_LSTMCell_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5373241Z   test_quantizable_LSTMCell_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5373731Z   test_quantizable_LSTM_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5374222Z   test_quantizable_LSTM_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5374707Z   test_quantizable_MultiheadAttention_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.005s)
2023-01-11T21:30:14.5375275Z   test_quantizable_MultiheadAttention_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.005s)
2023-01-11T21:30:14.5375812Z   test_quantized_BatchNorm2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5376334Z   test_quantized_BatchNorm2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5376863Z   test_quantized_BatchNorm3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5377366Z   test_quantized_BatchNorm3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.004s)
2023-01-11T21:30:14.5378032Z   test_quantized_Conv1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5378555Z   test_quantized_Conv1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5379167Z   test_quantized_Conv2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5379706Z   test_quantized_Conv2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5380225Z   test_quantized_Conv3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5380756Z   test_quantized_Conv3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5381317Z   test_quantized_ConvTranspose1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5381900Z   test_quantized_ConvTranspose1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5382471Z   test_quantized_ConvTranspose2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5383046Z   test_quantized_ConvTranspose2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5383629Z   test_quantized_ConvTranspose3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5384194Z   test_quantized_ConvTranspose3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5384766Z   test_quantized_DeQuantize_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5385321Z   test_quantized_DeQuantize_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5385874Z   test_quantized_Dropout_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5386401Z   test_quantized_Dropout_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5386930Z   test_quantized_ELU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5387453Z   test_quantized_ELU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5388000Z   test_quantized_FXFloatFunctional_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5388607Z   test_quantized_FXFloatFunctional_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5389201Z   test_quantized_FloatFunctional_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5389781Z   test_quantized_FloatFunctional_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5390333Z   test_quantized_GroupNorm_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5390882Z   test_quantized_GroupNorm_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5391429Z   test_quantized_Hardswish_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5391956Z   test_quantized_Hardswish_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5392517Z   test_quantized_InstanceNorm1d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5393098Z   test_quantized_InstanceNorm1d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5393752Z   test_quantized_InstanceNorm2d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5394320Z   test_quantized_InstanceNorm2d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5394893Z   test_quantized_InstanceNorm3d_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5395467Z   test_quantized_InstanceNorm3d_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5396027Z   test_quantized_LayerNorm_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5396561Z   test_quantized_LayerNorm_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5397107Z   test_quantized_LeakyReLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5397651Z   test_quantized_LeakyReLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5398261Z   test_quantized_Linear_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5398797Z   test_quantized_Linear_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5399386Z   test_quantized_PReLU_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5399925Z   test_quantized_PReLU_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5400459Z   test_quantized_QFunctional_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5401020Z   test_quantized_QFunctional_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5401570Z   test_quantized_Quantize_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5402094Z   test_quantized_Quantize_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5402629Z   test_quantized_ReLU6_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5403158Z   test_quantized_ReLU6_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5403827Z   test_quantized_Sigmoid_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5404355Z   test_quantized_Sigmoid_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.002s)
2023-01-11T21:30:14.5404893Z   test_quantized_Softmax_cpu_float32 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5405428Z   test_quantized_Softmax_cpu_float64 (__main__.TestModuleInitCPU) ... ok (0.003s)
2023-01-11T21:30:14.5405726Z 
2023-01-11T21:30:14.5406123Z ----------------------------------------------------------------------
2023-01-11T21:30:14.5406536Z Ran 374 tests in 2.679s
2023-01-11T21:30:14.5406730Z 
2023-01-11T21:30:14.5406829Z OK
2023-01-11T21:30:14.5406982Z 
2023-01-11T21:30:14.5407124Z Generating XML reports...
2023-01-11T21:30:14.5407849Z Generated XML report: test-reports/python-unittest/test_module_init/TEST-TestModuleInitCPU-20230111213011.xml
2023-01-11T21:30:14.5408270Z 
2023-01-11T21:30:14.5408726Z ##[endgroup]
2023-01-11T21:30:14.5409399Z FINISHED PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_dlovl1q9)
2023-01-11T21:30:14.5409766Z 
2023-01-11T21:30:16.2640477Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:16.4043720Z Ignoring disabled issues:  []
2023-01-11T21:30:16.4201570Z Running test_openmp ... [2023-01-11 21:30:16.419870]
2023-01-11T21:30:16.4203724Z Executing ['/opt/conda/bin/python', '-bb', 'test_openmp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:16.420132]
2023-01-11T21:30:20.3444450Z 
2023-01-11T21:30:20.3445025Z Expand the folded group to see the log file of test_openmp
2023-01-11T21:30:20.3446013Z ##[group]PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_xov3dbkv)
2023-01-11T21:30:20.3446807Z Test results will be stored in test-reports/python-unittest/test_openmp
2023-01-11T21:30:20.3447123Z 
2023-01-11T21:30:20.3447184Z Running tests...
2023-01-11T21:30:20.3447493Z ----------------------------------------------------------------------
2023-01-11T21:30:20.3447775Z   test_n_threads (__main__.TestOpenMP_ParallelFor)
2023-01-11T21:30:20.3448037Z Make sure there is no memory leak with many threads ... ok (1.329s)
2023-01-11T21:30:20.3448304Z   test_one_thread (__main__.TestOpenMP_ParallelFor)
2023-01-11T21:30:20.3448968Z Make sure there is no memory leak with one thread: issue gh-32284 ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T21:30:20.3449387Z ok (1.077s)
2023-01-11T21:30:20.3449488Z 
2023-01-11T21:30:20.3449684Z ----------------------------------------------------------------------
2023-01-11T21:30:20.3449910Z Ran 2 tests in 2.407s
2023-01-11T21:30:20.3450023Z 
2023-01-11T21:30:20.3450083Z OK
2023-01-11T21:30:20.3450173Z 
2023-01-11T21:30:20.3450440Z Generating XML reports...
2023-01-11T21:30:20.3450833Z Generated XML report: test-reports/python-unittest/test_openmp/TEST-TestOpenMP_ParallelFor-20230111213017.xml
2023-01-11T21:30:20.3451063Z 
2023-01-11T21:30:20.3451317Z ##[endgroup]
2023-01-11T21:30:20.3451759Z FINISHED PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_xov3dbkv)
2023-01-11T21:30:20.3451970Z 
2023-01-11T21:30:22.1698149Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:22.3098248Z Ignoring disabled issues:  []
2023-01-11T21:30:22.3256653Z Running lazy/test_step_closures ... [2023-01-11 21:30:22.325419]
2023-01-11T21:30:22.3258857Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_step_closures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:22.325673]
2023-01-11T21:30:26.1104669Z 
2023-01-11T21:30:26.1108599Z Expand the folded group to see the log file of lazy/test_step_closures
2023-01-11T21:30:26.1109745Z ##[group]PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_sciin_bs)
2023-01-11T21:30:26.1110674Z Test results will be stored in test-reports/python-unittest/lazy.test_step_closures
2023-01-11T21:30:26.1110980Z 
2023-01-11T21:30:26.1111098Z Running tests...
2023-01-11T21:30:26.1111589Z ----------------------------------------------------------------------
2023-01-11T21:30:26.1112070Z   test_asynchronous (__main__.ClosuresTest) ... ok (0.249s)
2023-01-11T21:30:26.1112520Z   test_asynchronous_exception (__main__.ClosuresTest) ... ok (1.001s)
2023-01-11T21:30:26.1112979Z   test_synchronous (__main__.ClosuresTest) ... ok (1.002s)
2023-01-11T21:30:26.1113540Z   test_synchronous_exception (__main__.ClosuresTest) ... ok (0.001s)
2023-01-11T21:30:26.1113807Z 
2023-01-11T21:30:26.1114167Z ----------------------------------------------------------------------
2023-01-11T21:30:26.1114536Z Ran 4 tests in 2.253s
2023-01-11T21:30:26.1114723Z 
2023-01-11T21:30:26.1114826Z OK
2023-01-11T21:30:26.1114970Z 
2023-01-11T21:30:26.1115106Z Generating XML reports...
2023-01-11T21:30:26.1115827Z Generated XML report: test-reports/python-unittest/lazy.test_step_closures/TEST-ClosuresTest-20230111213023.xml
2023-01-11T21:30:26.1116204Z 
2023-01-11T21:30:26.1116606Z ##[endgroup]
2023-01-11T21:30:26.1117310Z FINISHED PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_sciin_bs)
2023-01-11T21:30:26.1117691Z 
2023-01-11T21:30:27.8832589Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:28.0198952Z Ignoring disabled issues:  []
2023-01-11T21:30:28.0358251Z Running test_package ... [2023-01-11 21:30:28.035531]
2023-01-11T21:30:28.0359923Z Executing ['/opt/conda/bin/python', '-bb', 'test_package.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:28.035786]
2023-01-11T21:30:31.9284007Z 
2023-01-11T21:30:31.9284966Z Expand the folded group to see the log file of test_package
2023-01-11T21:30:31.9286326Z ##[group]PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_9r6m1n87)
2023-01-11T21:30:31.9287083Z Test results will be stored in test-reports/python-unittest/test_package
2023-01-11T21:30:31.9287430Z 
2023-01-11T21:30:31.9287840Z Running tests...
2023-01-11T21:30:31.9289456Z ----------------------------------------------------------------------
2023-01-11T21:30:31.9290992Z   test_trace_dependencies (test_analyze.TestAnalyze) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81213 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.294s)
2023-01-11T21:30:31.9305446Z   test_allow_empty_with_error (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9306101Z If an error occurs during packaging, it should not be shadowed by the allow_empty error. ... ok (0.002s)
2023-01-11T21:30:31.9306985Z   test_broken_dependency (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9307596Z A unpackageable dependency should raise a PackagingError. ... ok (0.002s)
2023-01-11T21:30:31.9308248Z   test_deny (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9308778Z Test marking packages as "deny" during export. ... ok (0.002s)
2023-01-11T21:30:31.9309316Z   test_deny_glob (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9309909Z Test marking packages as "deny" using globs instead of package names. ... ok (0.002s)
2023-01-11T21:30:31.9310490Z   test_extern (test_dependency_api.TestDependencyAPI) ... ok (0.001s)
2023-01-11T21:30:31.9311085Z   test_extern_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s)
2023-01-11T21:30:31.9311691Z   test_extern_glob_allow_empty (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9312307Z Test that an error is thrown when a extern glob is specified with allow_empty=True ... ok (0.001s)
2023-01-11T21:30:31.9312932Z   test_externing_c_extension (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9315037Z Externing c extensions modules should allow us to still access them especially those found in torch._C. ... /opt/conda/lib/python3.7/site-packages/torch/package/package_exporter.py:900: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9316301Z   storage_type_str = obj.pickle_storage_type()
2023-01-11T21:30:31.9317867Z /opt/conda/lib/python3.7/site-packages/torch/package/package_exporter.py:903: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9319044Z   storage_numel = obj.size()
2023-01-11T21:30:31.9320485Z /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9321507Z   return self.fget.__get__(instance, owner)()
2023-01-11T21:30:31.9321864Z ok (0.007s)
2023-01-11T21:30:31.9322309Z   test_implicit_intern (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9322914Z The save_module APIs should implicitly intern the module being saved. ... ok (0.001s)
2023-01-11T21:30:31.9323701Z   test_intern_error (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9324275Z Failure to handle all dependencies should lead to an error. ... ok (0.002s)
2023-01-11T21:30:31.9324864Z   test_invalid_import (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9325577Z An incorrectly-formed import should raise a PackagingError. ... ok (0.001s)
2023-01-11T21:30:31.9326180Z   test_mock (test_dependency_api.TestDependencyAPI) ... ok (0.003s)
2023-01-11T21:30:31.9326768Z   test_mock_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s)
2023-01-11T21:30:31.9327362Z   test_mock_glob_allow_empty (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9327972Z Test that an error is thrown when a mock glob is specified with allow_empty=True ... ok (0.001s)
2023-01-11T21:30:31.9328604Z   test_pickle_mocked (test_dependency_api.TestDependencyAPI) ... ok (0.001s)
2023-01-11T21:30:31.9329224Z   test_pickle_mocked_all (test_dependency_api.TestDependencyAPI) ... ok (0.001s)
2023-01-11T21:30:31.9329817Z   test_repackage_mocked_module (test_dependency_api.TestDependencyAPI)
2023-01-11T21:30:31.9330591Z Re-packaging a package that contains a mocked module should work correctly. ... ok (0.003s)
2023-01-11T21:30:31.9331437Z   test_extern_and_mock_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2023-01-11T21:30:31.9332086Z   test_multiple_extern_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2023-01-11T21:30:31.9332800Z   test_multiple_mock_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2023-01-11T21:30:31.9333442Z   test_remove_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2023-01-11T21:30:31.9334074Z   test_single_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2023-01-11T21:30:31.9334638Z   test_all_paths (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9335155Z   test_contains (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9335701Z   test_contains_non_hashable (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9336220Z   test_edges (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9336752Z   test_forward_closure (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9337281Z   test_iter (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9337800Z   test_node_attr_update (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9338320Z   test_node_attrs (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9338877Z   test_predecessor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9339447Z   test_predecessors (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9339984Z   test_successor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9340531Z   test_successors (test_digraph.TestDiGraph) ... ok (0.001s)
2023-01-11T21:30:31.9341118Z   test_importer_access (test_directory_reader.DirectoryReaderTest) ... ok (0.003s)
2023-01-11T21:30:31.9341753Z   test_loading_has_record (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9342404Z Test DirectoryReader's has_record(). ... ok (0.002s)
2023-01-11T21:30:31.9342939Z   test_loading_module (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9343550Z Test basic saving and loading of a packages from a DirectoryReader. ... ok (0.002s)
2023-01-11T21:30:31.9344136Z   test_loading_pickle (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9344982Z Test basic saving and loading of modules and pickles from a DirectoryReader. ... skip: Does not work with latest TorchVision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2023-01-11T21:30:31.9345813Z   test_package_resource_access (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9346468Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.005s)
2023-01-11T21:30:31.9347097Z   test_resource_access_by_path (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9347723Z Tests that packaged code can used importlib.resources.path. ... ok (0.003s)
2023-01-11T21:30:31.9348339Z   test_resource_reader (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9348910Z Tests DirectoryReader as the base for get_resource_reader. ... ok (0.005s)
2023-01-11T21:30:31.9349529Z   test_scriptobject_failure_message (test_directory_reader.DirectoryReaderTest)
2023-01-11T21:30:31.9350157Z Test basic saving and loading of a ScriptModule in a directory. ... ok (0.009s)
2023-01-11T21:30:31.9350719Z   test_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9351257Z   test_exclude_from_all (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9351811Z   test_invalid_raw (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9352375Z   test_list_include_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9352914Z   test_one_star (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9353549Z   test_one_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9354154Z   test_one_star_multiple_in_component (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9354736Z   test_one_star_partial (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9355438Z   test_one_star_partial_extension (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9356016Z   test_raw_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9356608Z   test_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9357125Z   test_two_star_end (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9357681Z   test_two_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9358249Z   test_two_star_multiple (test_glob_group.TestGlobGroup) ... ok (0.001s)
2023-01-11T21:30:31.9358821Z   test_ordered_importer_basic (test_importer.TestImporter) ... ok (0.002s)
2023-01-11T21:30:31.9359418Z   test_ordered_importer_whichmodule (test_importer.TestImporter)
2023-01-11T21:30:31.9360185Z OrderedImporter's implementation of whichmodule should try each ... ok (0.001s)
2023-01-11T21:30:31.9360841Z   test_package_importer_whichmodule_no_dunder_module (test_importer.TestImporter)
2023-01-11T21:30:31.9361445Z Exercise corner case where we try to pickle an object whose ... ok (0.002s)
2023-01-11T21:30:31.9362036Z   test_single_ordered_importer (test_importer.TestImporter) ... ok (0.001s)
2023-01-11T21:30:31.9362617Z   test_sys_importer (test_importer.TestImporter) ... ok (0.001s)
2023-01-11T21:30:31.9363186Z   test_sys_importer_roundtrip (test_importer.TestImporter) ... ok (0.001s)
2023-01-11T21:30:31.9363957Z   test_load_bc_packages_fx_module (test_load_bc_packages.TestLoadBCPackages)
2023-01-11T21:30:31.9364530Z Tests for backwards compatible fx module ... ok (0.012s)
2023-01-11T21:30:31.9365094Z   test_load_bc_packages_nn_module (test_load_bc_packages.TestLoadBCPackages)
2023-01-11T21:30:31.9365663Z Tests for backwards compatible nn module ... ok (0.009s)
2023-01-11T21:30:31.9366267Z   test_load_bc_packages_torchscript_module (test_load_bc_packages.TestLoadBCPackages)
2023-01-11T21:30:31.9366883Z Tests for backwards compatible torchscript module ... ok (0.038s)
2023-01-11T21:30:31.9367400Z   test_demangle_base (test_mangling.TestMangling)
2023-01-11T21:30:31.9367981Z Demangling a mangle parent directly should currently return an empty string. ... ok (0.001s)
2023-01-11T21:30:31.9368594Z   test_demangler_multiple_manglers (test_mangling.TestMangling)
2023-01-11T21:30:31.9369252Z PackageDemangler should be able to demangle name generated by any PackageMangler. ... ok (0.001s)
2023-01-11T21:30:31.9369878Z   test_is_mangled (test_mangling.TestMangling) ... ok (0.001s)
2023-01-11T21:30:31.9370439Z   test_mangle_empty_errors (test_mangling.TestMangling) ... ok (0.001s)
2023-01-11T21:30:31.9370993Z   test_mangle_prefix (test_mangling.TestMangling) ... ok (0.001s)
2023-01-11T21:30:31.9371514Z   test_mangler_is_consistent (test_mangling.TestMangling)
2023-01-11T21:30:31.9372074Z Mangling the same name twice should produce the same result. ... ok (0.001s)
2023-01-11T21:30:31.9372652Z   test_package_mangler (test_mangling.TestMangling) ... ok (0.001s)
2023-01-11T21:30:31.9373205Z   test_roundtrip_mangling (test_mangling.TestMangling) ... ok (0.001s)
2023-01-11T21:30:31.9373756Z   test_unique_manglers (test_mangling.TestMangling)
2023-01-11T21:30:31.9374344Z Each mangler instance should generate a unique mangled name for a given input. ... ok (0.001s)
2023-01-11T21:30:31.9374960Z   test_unique_module_names (test_mangling.TestMangling) ... ok (0.002s)
2023-01-11T21:30:31.9375479Z   test_dunder_package_present (test_misc.TestMisc)
2023-01-11T21:30:31.9376218Z The attribute '__torch_package__' should be populated on imported modules. ... ok (0.001s)
2023-01-11T21:30:31.9376805Z   test_dunder_package_works_from_package (test_misc.TestMisc)
2023-01-11T21:30:31.9377471Z The attribute '__torch_package__' should be accessible from within ... ok (0.002s)
2023-01-11T21:30:31.9378009Z   test_exporter_content_lists (test_misc.TestMisc)
2023-01-11T21:30:31.9378685Z Test content list API for PackageExporter's contained modules. ... ok (0.003s)
2023-01-11T21:30:31.9379338Z   test_file_structure (test_misc.TestMisc)
2023-01-11T21:30:31.9380028Z Tests package's Directory structure representation of a zip file. Ensures ... ok (0.003s)
2023-01-11T21:30:31.9380595Z   test_file_structure_has_file (test_misc.TestMisc)
2023-01-11T21:30:31.9381242Z Test Directory's has_file() method. ... ok (0.001s)
2023-01-11T21:30:31.9381679Z   test_inspect_class (test_misc.TestMisc)
2023-01-11T21:30:31.9382185Z Should be able to retrieve source for a packaged class. ... ok (0.002s)
2023-01-11T21:30:31.9382684Z   test_is_from_package (test_misc.TestMisc)
2023-01-11T21:30:31.9383170Z is_from_package should work for objects and modules ... ok (0.001s)
2023-01-11T21:30:31.9383708Z   test_load_python_version_from_package (test_misc.TestMisc)
2023-01-11T21:30:31.9384248Z Tests loading a package with a python version embdded ... ok (0.003s)
2023-01-11T21:30:31.9384801Z   test_loaders_that_remap_files_work_ok (test_misc.TestMisc) ... ok (0.003s)
2023-01-11T21:30:31.9385296Z   test_python_version (test_misc.TestMisc)
2023-01-11T21:30:31.9385863Z Tests that the current python version is stored in the package and is available ... ok (0.002s)
2023-01-11T21:30:31.9386451Z   test_std_lib_sys_hackery_checks (test_misc.TestMisc)
2023-01-11T21:30:31.9387001Z The standard library performs sys.module assignment hackery which ... ok (0.003s)
2023-01-11T21:30:31.9387769Z   test_model_save (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2023-01-11T21:30:31.9388642Z   test_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2023-01-11T21:30:31.9389542Z   test_script_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2023-01-11T21:30:31.9390270Z   test_package_fx_custom_tracer (test_package_fx.TestPackageFX) ... ok (0.010s)
2023-01-11T21:30:31.9390845Z   test_package_fx_package (test_package_fx.TestPackageFX) ... ok (0.018s)
2023-01-11T21:30:31.9391419Z   test_package_fx_simple (test_package_fx.TestPackageFX) ... ok (0.006s)
2023-01-11T21:30:31.9391974Z   test_package_fx_with_imports (test_package_fx.TestPackageFX) ... ok (0.005s)
2023-01-11T21:30:31.9392544Z   test_package_then_fx (test_package_fx.TestPackageFX) ... ok (0.004s)
2023-01-11T21:30:31.9393148Z   test_different_package_interface (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9393810Z Test a case where the interface defined in the package is ... ok (0.011s)
2023-01-11T21:30:31.9394396Z   test_different_package_script_class (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9395003Z Test a case where the script class defined in the package is ... ok (0.006s)
2023-01-11T21:30:31.9395618Z   test_load_shared_scriptmodules (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9396216Z Test loading of single ScriptModule shared by multiple eager ... ok (0.008s)
2023-01-11T21:30:31.9396814Z   test_load_shared_tensors (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9398124Z Test tensors shared across eager and ScriptModules on load ... /var/lib/jenkins/workspace/test/package/test_package_script.py:547: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9399257Z   shared_tensor.storage()._cdata,
2023-01-11T21:30:31.9400318Z /var/lib/jenkins/workspace/test/package/test_package_script.py:548: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9401332Z   scripted_mod_0.tensor.storage()._cdata,
2023-01-11T21:30:31.9402593Z /var/lib/jenkins/workspace/test/package/test_package_script.py:551: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9403715Z   shared_tensor.storage()._cdata,
2023-01-11T21:30:31.9404762Z /var/lib/jenkins/workspace/test/package/test_package_script.py:552: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9405798Z   scripted_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9406853Z /var/lib/jenkins/workspace/test/package/test_package_script.py:565: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9407870Z   loaded_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9408951Z /var/lib/jenkins/workspace/test/package/test_package_script.py:566: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9409991Z   loaded_mod_1.sub_mod_0.tensor.storage()._cdata,
2023-01-11T21:30:31.9411069Z /var/lib/jenkins/workspace/test/package/test_package_script.py:569: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9412092Z   loaded_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9413177Z /var/lib/jenkins/workspace/test/package/test_package_script.py:570: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9414219Z   loaded_mod_1.sub_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9414612Z ok (0.009s)
2023-01-11T21:30:31.9415086Z   test_load_shared_tensors_repackaged (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9416406Z Test tensors shared across eager and ScriptModules on load ... /var/lib/jenkins/workspace/test/package/test_package_script.py:619: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9417559Z   loaded_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9418641Z /var/lib/jenkins/workspace/test/package/test_package_script.py:620: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9419681Z   loaded_mod_1.sub_mod_0.tensor.storage()._cdata,
2023-01-11T21:30:31.9420753Z /var/lib/jenkins/workspace/test/package/test_package_script.py:623: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9421900Z   loaded_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9423046Z /var/lib/jenkins/workspace/test/package/test_package_script.py:624: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:31.9424082Z   loaded_mod_1.sub_mod_1.tensor.storage()._cdata,
2023-01-11T21:30:31.9424457Z ok (0.012s)
2023-01-11T21:30:31.9424950Z   test_mixing_packaged_and_inline_modules (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9425587Z Test saving inline and imported modules in same package with ... ok (0.047s)
2023-01-11T21:30:31.9426241Z   test_mixing_packaged_and_inline_modules_shared_code (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9426881Z Test saving inline and imported modules in same package that ... ok (0.900s)
2023-01-11T21:30:31.9427463Z   test_package_interface (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9428044Z Packaging an interface class should work correctly. ... ok (0.041s)
2023-01-11T21:30:31.9428645Z   test_package_script_class (test_package_script.TestPackageScript) ... ok (0.005s)
2023-01-11T21:30:31.9429338Z   test_package_script_class_referencing_self (test_package_script.TestPackageScript) ... ok (0.013s)
2023-01-11T21:30:31.9430036Z   test_save_eager_mods_sharing_scriptmodule (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9430657Z Test saving of single ScriptModule shared by multiple ... ok (0.006s)
2023-01-11T21:30:31.9431256Z   test_save_independent_scriptmodules (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9431893Z Test to verify saving multiple ScriptModules with completely ... ok (0.009s)
2023-01-11T21:30:31.9432515Z   test_save_repeat_scriptmodules (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9433095Z Test to verify saving multiple different modules and ... ok (0.044s)
2023-01-11T21:30:31.9433746Z   test_save_scriptmodule (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9434281Z Test basic saving of ScriptModule. ... ok (0.005s)
2023-01-11T21:30:31.9434823Z   test_save_scriptmodule_file (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9435380Z Test basic saving of ScriptModule in file. ... ok (0.005s)
2023-01-11T21:30:31.9435977Z   test_save_scriptmodule_only_necessary_code (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9436596Z Test to verify when saving multiple packages with same CU ... ok (0.352s)
2023-01-11T21:30:31.9437193Z   test_save_scriptmodule_with_submods (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9437795Z Test basic saving of ScriptModule with submodule. ... ok (0.007s)
2023-01-11T21:30:31.9438398Z   test_save_scriptmodules_in_container (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9439048Z Test saving of ScriptModules inside of container. Checks that relations ... ok (0.036s)
2023-01-11T21:30:31.9439717Z   test_save_scriptmodules_submod_redefinition (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9440379Z Test to verify saving multiple ScriptModules with same top module ... ok (0.013s)
2023-01-11T21:30:31.9440987Z   test_save_shared_tensors (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9441596Z Test tensors shared across eager and ScriptModules are serialized once. ... ok (0.007s)
2023-01-11T21:30:31.9442254Z   test_saving_and_scripting_packaged_mod (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9442855Z Test scripting a module loaded from a package ... ok (0.009s)
2023-01-11T21:30:31.9443526Z   test_scriptmodules_repeat_save (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9444141Z Test to verify saving and loading same ScriptModule object works ... ok (0.011s)
2023-01-11T21:30:31.9444875Z   test_tensor_sharing_pickle (test_package_script.TestPackageScript)
2023-01-11T21:30:31.9445477Z Test that saving a ScriptModule and a separately saving a tensor ... ok (0.005s)
2023-01-11T21:30:31.9446233Z   test_repackage_import_indirectly_via_parent_module (test_repackage.TestRepackage) ... ok (0.006s)
2023-01-11T21:30:31.9446882Z   test_importer_access (test_resources.TestResources) ... ok (0.002s)
2023-01-11T21:30:31.9447460Z   test_package_resource_access (test_resources.TestResources)
2023-01-11T21:30:31.9448068Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.001s)
2023-01-11T21:30:31.9448687Z   test_resource_access_by_path (test_resources.TestResources)
2023-01-11T21:30:31.9449286Z Tests that packaged code can used importlib.resources.path. ... ok (0.002s)
2023-01-11T21:30:31.9449854Z   test_resource_reader (test_resources.TestResources)
2023-01-11T21:30:31.9450416Z Test compliance with the get_resource_reader importlib API. ... ok (0.003s)
2023-01-11T21:30:31.9450968Z   test_bad_dunder_imports (test_save_load.TestSaveLoad)
2023-01-11T21:30:31.9451719Z Test to ensure bad __imports__ don't cause PackageExporter to fail. ... ok (0.001s)
2023-01-11T21:30:31.9452278Z   test_dunder_imports (test_save_load.TestSaveLoad) ... ok (0.003s)
2023-01-11T21:30:31.9452834Z   test_exporting_mismatched_code (test_save_load.TestSaveLoad)
2023-01-11T21:30:31.9453418Z If an object with the same qualified name is loaded from different ... ok (0.005s)
2023-01-11T21:30:31.9453953Z   test_pickle (test_save_load.TestSaveLoad) ... ok (0.002s)
2023-01-11T21:30:31.9454496Z   test_save_imported_module (test_save_load.TestSaveLoad)
2023-01-11T21:30:31.9455076Z Saving a module that came from another PackageImporter should work. ... ok (0.002s)
2023-01-11T21:30:31.9455709Z   test_save_imported_module_using_package_importer (test_save_load.TestSaveLoad)
2023-01-11T21:30:31.9456510Z Exercise a corner case: re-packaging a module that uses `torch_package_importer` ... ok (0.002s)
2023-01-11T21:30:31.9457117Z   test_save_module (test_save_load.TestSaveLoad) ... ok (0.002s)
2023-01-11T21:30:31.9457653Z   test_save_module_binary (test_save_load.TestSaveLoad) ... ok (0.001s)
2023-01-11T21:30:31.9458186Z   test_saving_source (test_save_load.TestSaveLoad) ... ok (0.004s)
2023-01-11T21:30:31.9458725Z   test_saving_string (test_save_load.TestSaveLoad) ... ok (0.001s)
2023-01-11T21:30:31.9459040Z 
2023-01-11T21:30:31.9459419Z ----------------------------------------------------------------------
2023-01-11T21:30:31.9459881Z Ran 133 tests in 2.130s
2023-01-11T21:30:31.9460077Z 
2023-01-11T21:30:31.9460213Z OK (skipped=5)
2023-01-11T21:30:31.9460425Z 
2023-01-11T21:30:31.9460584Z Generating XML reports...
2023-01-11T21:30:31.9461430Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_api.TestDependencyAPI-20230111213029.xml
2023-01-11T21:30:31.9462550Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_hooks.TestDependencyHooks-20230111213029.xml
2023-01-11T21:30:31.9463600Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_digraph.TestDiGraph-20230111213029.xml
2023-01-11T21:30:31.9464694Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_directory_reader.DirectoryReaderTest-20230111213029.xml
2023-01-11T21:30:31.9465773Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_glob_group.TestGlobGroup-20230111213029.xml
2023-01-11T21:30:31.9466786Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_importer.TestImporter-20230111213029.xml
2023-01-11T21:30:31.9467879Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_load_bc_packages.TestLoadBCPackages-20230111213029.xml
2023-01-11T21:30:31.9468951Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_mangling.TestMangling-20230111213029.xml
2023-01-11T21:30:31.9469935Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_misc.TestMisc-20230111213029.xml
2023-01-11T21:30:31.9470998Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_fx.TestPackageFX-20230111213029.xml
2023-01-11T21:30:31.9472099Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_script.TestPackageScript-20230111213029.xml
2023-01-11T21:30:31.9473165Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_repackage.TestRepackage-20230111213029.xml
2023-01-11T21:30:31.9474266Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_resources.TestResources-20230111213029.xml
2023-01-11T21:30:31.9475257Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_save_load.TestSaveLoad-20230111213029.xml
2023-01-11T21:30:31.9476259Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_analyze.TestAnalyze-20230111213029.xml
2023-01-11T21:30:31.9477248Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_model.ModelTest-20230111213029.xml
2023-01-11T21:30:31.9477678Z 
2023-01-11T21:30:31.9478192Z ##[endgroup]
2023-01-11T21:30:31.9478904Z FINISHED PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_9r6m1n87)
2023-01-11T21:30:31.9479307Z 
2023-01-11T21:30:33.6880651Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:33.8226371Z Ignoring disabled issues:  []
2023-01-11T21:30:33.8387619Z Running test_maskedtensor ... [2023-01-11 21:30:33.838466]
2023-01-11T21:30:33.8389319Z Executing ['/opt/conda/bin/python', '-bb', 'test_maskedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:33.838716]
2023-01-11T21:30:38.8265530Z 
2023-01-11T21:30:38.8266045Z Expand the folded group to see the log file of test_maskedtensor
2023-01-11T21:30:38.8267188Z ##[group]PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor__ryi80jl)
2023-01-11T21:30:38.8268137Z Test results will be stored in test-reports/python-unittest/test_maskedtensor
2023-01-11T21:30:38.8268439Z 
2023-01-11T21:30:38.8268553Z Running tests...
2023-01-11T21:30:38.8268901Z ----------------------------------------------------------------------
2023-01-11T21:30:38.8269908Z   test_add_cpu (__main__.TestBasicsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2023-01-11T21:30:38.8270737Z   "module for further information about the project."), UserWarning)
2023-01-11T21:30:38.8271053Z ok (0.024s)
2023-01-11T21:30:38.8271366Z   test_contiguous_cpu (__main__.TestBasicsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8271760Z   test_diff_dim_cpu (__main__.TestBasicsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8272151Z   test_diff_layouts_cpu (__main__.TestBasicsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8272598Z   test_diff_sizes_cpu (__main__.TestBasicsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8273084Z   test_grad_warning_cpu (__main__.TestBasicsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8274388Z   test_invalid_sparse_coo_values_cpu (__main__.TestBasicsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2023-01-11T21:30:38.8275245Z   "module for further information about the project."), UserWarning)
2023-01-11T21:30:38.8275603Z ok (0.002s)
2023-01-11T21:30:38.8276496Z   test_invalid_sparse_csr_values_cpu (__main__.TestBasicsCPU) ... test_maskedtensor.py:297: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T21:30:38.8277567Z   size=(2, 4)
2023-01-11T21:30:38.8277847Z ok (0.002s)
2023-01-11T21:30:38.8278337Z   test_invalid_sparse_layout_cpu (__main__.TestBasicsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8278671Z   test_invalid_tensor_inputs_cpu (__main__.TestBasicsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8279635Z   test_softmax_cpu (__main__.TestBasicsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2023-01-11T21:30:38.8280210Z   "To avoid this, you can use data.clone().detach()", UserWarning)
2023-01-11T21:30:38.8280468Z ok (0.004s)
2023-01-11T21:30:38.8280831Z   test_to_dense_and_sparse_coo_cpu (__main__.TestBasicsCPU) ... ok (0.020s)
2023-01-11T21:30:38.8281334Z   test_to_dense_and_sparse_csr_cpu (__main__.TestBasicsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8281852Z   test_to_dense_cpu (__main__.TestBasicsCPU) ... ok (0.015s)
2023-01-11T21:30:38.8282301Z   test_to_sparse_cpu (__main__.TestBasicsCPU) ... ok (0.011s)
2023-01-11T21:30:38.8282772Z   test_where_cpu (__main__.TestBasicsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8283224Z   test_binary_fn_aten_add (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8283692Z   test_binary_fn_aten_arctan2 (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8284143Z   test_binary_fn_aten_atan2 (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8284649Z   test_binary_fn_aten_bitwise_and (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8284993Z   test_binary_fn_aten_bitwise_left_shift (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8285267Z   test_binary_fn_aten_bitwise_or (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8285563Z   test_binary_fn_aten_bitwise_right_shift (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8285875Z   test_binary_fn_aten_bitwise_xor (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8286231Z   test_binary_fn_aten_div (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8286648Z   test_binary_fn_aten_divide (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8287060Z   test_binary_fn_aten_eq (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8287401Z   test_binary_fn_aten_floor_divide (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8287769Z   test_binary_fn_aten_fmax (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8288154Z   test_binary_fn_aten_fmin (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8288562Z   test_binary_fn_aten_fmod (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8288946Z   test_binary_fn_aten_ge (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8289354Z   test_binary_fn_aten_greater (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8289836Z   test_binary_fn_aten_greater_equal (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8290318Z   test_binary_fn_aten_gt (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8290784Z   test_binary_fn_aten_le (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8291261Z   test_binary_fn_aten_less (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8291680Z   test_binary_fn_aten_less_equal (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8291950Z   test_binary_fn_aten_logaddexp (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8292231Z   test_binary_fn_aten_logaddexp2 (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8292504Z   test_binary_fn_aten_lt (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8292752Z   test_binary_fn_aten_maximum (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8293018Z   test_binary_fn_aten_minimum (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8293278Z   test_binary_fn_aten_mul (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8293574Z   test_binary_fn_aten_multiply (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8293966Z   test_binary_fn_aten_ne (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8294292Z   test_binary_fn_aten_nextafter (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8294648Z   test_binary_fn_aten_not_equal (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8294906Z   test_binary_fn_aten_remainder (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8295174Z   test_binary_fn_aten_sub (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8295439Z   test_binary_fn_aten_subtract (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8295702Z   test_binary_fn_aten_true_divide (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8295985Z   test_inplace_binary_fn_aten_add_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8296269Z   test_inplace_binary_fn_aten_arctan2_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8296560Z   test_inplace_binary_fn_aten_atan2_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8296843Z   test_inplace_binary_fn_aten_bitwise_and_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8297149Z   test_inplace_binary_fn_aten_bitwise_left_shift_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8297455Z   test_inplace_binary_fn_aten_bitwise_or_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8297750Z   test_inplace_binary_fn_aten_bitwise_right_shift_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8298057Z   test_inplace_binary_fn_aten_bitwise_xor_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8298343Z   test_inplace_binary_fn_aten_div_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8298616Z   test_inplace_binary_fn_aten_divide_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8298899Z   test_inplace_binary_fn_aten_eq_ (__main__.TestBinary) ... ok (0.011s)
2023-01-11T21:30:38.8299185Z   test_inplace_binary_fn_aten_floor_divide_ (__main__.TestBinary) ... ok (0.011s)
2023-01-11T21:30:38.8299479Z   test_inplace_binary_fn_aten_fmod_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8299745Z   test_inplace_binary_fn_aten_ge_ (__main__.TestBinary) ... ok (0.011s)
2023-01-11T21:30:38.8300031Z   test_inplace_binary_fn_aten_greater_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8300327Z   test_inplace_binary_fn_aten_greater_equal_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8300605Z   test_inplace_binary_fn_aten_gt_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8300880Z   test_inplace_binary_fn_aten_le_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8301157Z   test_inplace_binary_fn_aten_less_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8301444Z   test_inplace_binary_fn_aten_less_equal_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8301716Z   test_inplace_binary_fn_aten_lt_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8301992Z   test_inplace_binary_fn_aten_mul_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8302281Z   test_inplace_binary_fn_aten_multiply_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8302552Z   test_inplace_binary_fn_aten_ne_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8302842Z   test_inplace_binary_fn_aten_nextafter_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8303134Z   test_inplace_binary_fn_aten_not_equal_ (__main__.TestBinary) ... ok (0.010s)
2023-01-11T21:30:38.8303419Z   test_inplace_binary_fn_aten_remainder_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8303690Z   test_inplace_binary_fn_aten_sub_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8303972Z   test_inplace_binary_fn_aten_subtract_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8304264Z   test_inplace_binary_fn_aten_true_divide_ (__main__.TestBinary) ... ok (0.002s)
2023-01-11T21:30:38.8304534Z   test_masks_match_fn_name_add (__main__.TestBinary) ... ok (0.001s)
2023-01-11T21:30:38.8304808Z   test_masks_match_fn_name_add_ (__main__.TestBinary) ... ok (0.001s)
2023-01-11T21:30:38.8305161Z   test_binary_core_add_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8305547Z   test_binary_core_add_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8305888Z   test_binary_core_add_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8306236Z   test_binary_core_add_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8306582Z   test_binary_core_add_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8306923Z   test_binary_core_add_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8307251Z   test_binary_core_add_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8307594Z   test_binary_core_add_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8307939Z   test_binary_core_add_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8308281Z   test_binary_core_atan2_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8308616Z   test_binary_core_atan2_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8308963Z   test_binary_core_atan2_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8309311Z   test_binary_core_atan2_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8309639Z   test_binary_core_atan2_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8309985Z   test_binary_core_atan2_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8310343Z   test_binary_core_div_floor_rounding_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8310717Z   test_binary_core_div_floor_rounding_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8311073Z   test_binary_core_div_floor_rounding_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8311440Z   test_binary_core_div_floor_rounding_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8311808Z   test_binary_core_div_floor_rounding_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8312174Z   test_binary_core_div_floor_rounding_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8312527Z   test_binary_core_div_floor_rounding_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8312894Z   test_binary_core_div_floor_rounding_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8313263Z   test_binary_core_div_floor_rounding_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8313719Z   test_binary_core_div_no_rounding_mode_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8314086Z   test_binary_core_div_no_rounding_mode_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8314463Z   test_binary_core_div_no_rounding_mode_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8314839Z   test_binary_core_div_no_rounding_mode_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8315208Z   test_binary_core_div_no_rounding_mode_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8315566Z   test_binary_core_div_no_rounding_mode_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8315975Z   test_binary_core_div_no_rounding_mode_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8316379Z   test_binary_core_div_no_rounding_mode_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8316751Z   test_binary_core_div_no_rounding_mode_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8317107Z   test_binary_core_div_trunc_rounding_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8317481Z   test_binary_core_div_trunc_rounding_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8317853Z   test_binary_core_div_trunc_rounding_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8318216Z   test_binary_core_div_trunc_rounding_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8318568Z   test_binary_core_div_trunc_rounding_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8318939Z   test_binary_core_div_trunc_rounding_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8319307Z   test_binary_core_div_trunc_rounding_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8319663Z   test_binary_core_div_trunc_rounding_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8320029Z   test_binary_core_div_trunc_rounding_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8320385Z   test_binary_core_eq_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8320728Z   test_binary_core_eq_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8321057Z   test_binary_core_eq_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8321392Z   test_binary_core_eq_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8321728Z   test_binary_core_eq_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8322060Z   test_binary_core_eq_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8322381Z   test_binary_core_eq_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8322720Z   test_binary_core_eq_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8323055Z   test_binary_core_eq_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8323547Z   test_binary_core_floor_divide_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8323902Z   test_binary_core_floor_divide_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8324255Z   test_binary_core_floor_divide_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8324612Z   test_binary_core_floor_divide_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8324955Z   test_binary_core_floor_divide_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8325306Z   test_binary_core_floor_divide_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8325661Z   test_binary_core_floor_divide_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8326019Z   test_binary_core_floor_divide_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8326416Z   test_binary_core_floor_divide_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8326811Z   test_binary_core_fmax_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8327163Z   test_binary_core_fmax_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8327507Z   test_binary_core_fmax_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8327838Z   test_binary_core_fmax_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8328180Z   test_binary_core_fmax_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8328518Z   test_binary_core_fmax_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8328864Z   test_binary_core_fmax_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8329196Z   test_binary_core_fmax_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8329539Z   test_binary_core_fmax_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8329883Z   test_binary_core_fmin_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8330213Z   test_binary_core_fmin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8330557Z   test_binary_core_fmin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8330900Z   test_binary_core_fmin_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8331237Z   test_binary_core_fmin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8331567Z   test_binary_core_fmin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8331909Z   test_binary_core_fmin_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8332257Z   test_binary_core_fmin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8332593Z   test_binary_core_fmin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8332917Z   test_binary_core_fmod_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8333258Z   test_binary_core_fmod_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8333596Z   test_binary_core_fmod_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8334197Z   test_binary_core_fmod_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8334527Z   test_binary_core_fmod_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8334872Z   test_binary_core_fmod_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8335214Z   test_binary_core_fmod_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8335537Z   test_binary_core_fmod_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8335878Z   test_binary_core_fmod_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8336219Z   test_binary_core_ge_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8336565Z   test_binary_core_ge_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8336893Z   test_binary_core_ge_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8337268Z   test_binary_core_ge_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8337633Z   test_binary_core_ge_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8337969Z   test_binary_core_ge_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8338288Z   test_binary_core_ge_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8338628Z   test_binary_core_ge_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8338967Z   test_binary_core_ge_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8339295Z   test_binary_core_gt_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8339633Z   test_binary_core_gt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8339972Z   test_binary_core_gt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8340306Z   test_binary_core_gt_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8340625Z   test_binary_core_gt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8340961Z   test_binary_core_gt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8341296Z   test_binary_core_gt_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8341631Z   test_binary_core_gt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8341956Z   test_binary_core_gt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8342287Z   test_binary_core_le_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8342628Z   test_binary_core_le_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8342953Z   test_binary_core_le_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8343286Z   test_binary_core_le_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8343623Z   test_binary_core_le_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8343955Z   test_binary_core_le_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8344274Z   test_binary_core_le_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8344609Z   test_binary_core_le_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8344948Z   test_binary_core_le_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8345281Z   test_binary_core_lt_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8345606Z   test_binary_core_lt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8345940Z   test_binary_core_lt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8346273Z   test_binary_core_lt_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8346590Z   test_binary_core_lt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8346916Z   test_binary_core_lt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8347251Z   test_binary_core_lt_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8347615Z   test_binary_core_lt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8347936Z   test_binary_core_lt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8348330Z   test_binary_core_maximum_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8348687Z   test_binary_core_maximum_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8349035Z   test_binary_core_maximum_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8349370Z   test_binary_core_maximum_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8349720Z   test_binary_core_maximum_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8350061Z   test_binary_core_maximum_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8350408Z   test_binary_core_maximum_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8350747Z   test_binary_core_maximum_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8351093Z   test_binary_core_maximum_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8351444Z   test_binary_core_minimum_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8351777Z   test_binary_core_minimum_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8352123Z   test_binary_core_minimum_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8352473Z   test_binary_core_minimum_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8352816Z   test_binary_core_minimum_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8353147Z   test_binary_core_minimum_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8353584Z   test_binary_core_minimum_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8353932Z   test_binary_core_minimum_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8354275Z   test_binary_core_minimum_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8354606Z   test_binary_core_mul_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8354948Z   test_binary_core_mul_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8355289Z   test_binary_core_mul_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8355635Z   test_binary_core_mul_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8355963Z   test_binary_core_mul_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8356304Z   test_binary_core_mul_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8356642Z   test_binary_core_mul_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8356970Z   test_binary_core_mul_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8357311Z   test_binary_core_mul_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8357648Z   test_binary_core_ne_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8357989Z   test_binary_core_ne_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8358352Z   test_binary_core_ne_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8358725Z   test_binary_core_ne_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8359065Z   test_binary_core_ne_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8359395Z   test_binary_core_ne_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8359714Z   test_binary_core_ne_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8360048Z   test_binary_core_ne_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8360383Z   test_binary_core_ne_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8360717Z   test_binary_core_nextafter_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8361080Z   test_binary_core_nextafter_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8361438Z   test_binary_core_nextafter_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8361792Z   test_binary_core_nextafter_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8362130Z   test_binary_core_nextafter_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8362480Z   test_binary_core_nextafter_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8362834Z   test_binary_core_remainder_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8363188Z   test_binary_core_remainder_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8363719Z   test_binary_core_remainder_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8364078Z   test_binary_core_remainder_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8364434Z   test_binary_core_remainder_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8364785Z   test_binary_core_remainder_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8365122Z   test_binary_core_remainder_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8365475Z   test_binary_core_remainder_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8365825Z   test_binary_core_remainder_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8366161Z   test_binary_core_sub_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8366508Z   test_binary_core_sub_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8366852Z   test_binary_core_sub_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8367190Z   test_binary_core_sub_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8367515Z   test_binary_core_sub_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8367853Z   test_binary_core_sub_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8368191Z   test_binary_core_sub_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8368530Z   test_binary_core_sub_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8368858Z   test_binary_core_sub_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8369268Z   test_binary_core_true_divide_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8369664Z   test_binary_core_true_divide_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8370013Z   test_binary_core_true_divide_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.004s)
2023-01-11T21:30:38.8370369Z   test_binary_core_true_divide_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8370716Z   test_binary_core_true_divide_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8371070Z   test_binary_core_true_divide_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8371412Z   test_binary_core_true_divide_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8371771Z   test_binary_core_true_divide_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8372129Z   test_binary_core_true_divide_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8372480Z   test_reduction_all_amax_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8372822Z   test_reduction_all_amax_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8373167Z   test_reduction_all_amax_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8373519Z   test_reduction_all_amax_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8373866Z   test_reduction_all_amax_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8374200Z   test_reduction_all_amax_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8374547Z   test_reduction_all_amax_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8374895Z   test_reduction_all_amax_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8375227Z   test_reduction_all_amax_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8375575Z   test_reduction_all_amin_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8375920Z   test_reduction_all_amin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8376266Z   test_reduction_all_amin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8376599Z   test_reduction_all_amin_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8376947Z   test_reduction_all_amin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8377290Z   test_reduction_all_amin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8377635Z   test_reduction_all_amin_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8377968Z   test_reduction_all_amin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8378313Z   test_reduction_all_amin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8378665Z   test_reduction_all_argmax_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.009s)
2023-01-11T21:30:38.8379024Z   test_reduction_all_argmax_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.009s)
2023-01-11T21:30:38.8379368Z   test_reduction_all_argmax_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.009s)
2023-01-11T21:30:38.8379761Z   test_reduction_all_argmax_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8380145Z   test_reduction_all_argmax_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8380485Z   test_reduction_all_argmax_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8380833Z   test_reduction_all_argmax_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.007s)
2023-01-11T21:30:38.8381183Z   test_reduction_all_argmax_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.007s)
2023-01-11T21:30:38.8381534Z   test_reduction_all_argmax_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.007s)
2023-01-11T21:30:38.8381878Z   test_reduction_all_argmin_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.009s)
2023-01-11T21:30:38.8382237Z   test_reduction_all_argmin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.008s)
2023-01-11T21:30:38.8382587Z   test_reduction_all_argmin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.009s)
2023-01-11T21:30:38.8382938Z   test_reduction_all_argmin_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8383274Z   test_reduction_all_argmin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8383626Z   test_reduction_all_argmin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8383973Z   test_reduction_all_argmin_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.007s)
2023-01-11T21:30:38.8384323Z   test_reduction_all_argmin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.007s)
2023-01-11T21:30:38.8384658Z   test_reduction_all_argmin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.007s)
2023-01-11T21:30:38.8385014Z   test_reduction_all_prod_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.025s)
2023-01-11T21:30:38.8385370Z   test_reduction_all_prod_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.024s)
2023-01-11T21:30:38.8385709Z   test_reduction_all_prod_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8386059Z   test_reduction_all_prod_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.005s)
2023-01-11T21:30:38.8386404Z   test_reduction_all_prod_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.019s)
2023-01-11T21:30:38.8386751Z   test_reduction_all_prod_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.018s)
2023-01-11T21:30:38.8387087Z   test_reduction_all_sum_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.014s)
2023-01-11T21:30:38.8387448Z   test_reduction_all_sum_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:30:38.8387818Z   test_reduction_all_sum_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.013s)
2023-01-11T21:30:38.8388239Z   test_reduction_all_sum_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8388623Z   test_reduction_all_sum_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:30:38.8388980Z   test_reduction_all_sum_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.006s)
2023-01-11T21:30:38.8389322Z   test_reduction_all_sum_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8389680Z   test_reduction_all_sum_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:30:38.8390022Z   test_reduction_all_sum_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.010s)
2023-01-11T21:30:38.8390411Z   test_unary_core_abs_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8390786Z   test_unary_core_abs_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8391112Z   test_unary_core_abs_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8391444Z   test_unary_core_abs_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8391783Z   test_unary_core_abs_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8392120Z   test_unary_core_abs_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8392438Z   test_unary_core_abs_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8392777Z   test_unary_core_abs_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8393116Z   test_unary_core_abs_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8393536Z   test_unary_core_acos_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8393871Z   test_unary_core_acos_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8394214Z   test_unary_core_acos_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8394560Z   test_unary_core_acos_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8394888Z   test_unary_core_acos_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8395229Z   test_unary_core_acos_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8395575Z   test_unary_core_acosh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8395925Z   test_unary_core_acosh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8396258Z   test_unary_core_acosh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8396602Z   test_unary_core_acosh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8396944Z   test_unary_core_acosh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8397283Z   test_unary_core_acosh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8397611Z   test_unary_core_angle_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8397955Z   test_unary_core_angle_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8398299Z   test_unary_core_angle_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8398639Z   test_unary_core_angle_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8398969Z   test_unary_core_angle_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8399306Z   test_unary_core_angle_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8399646Z   test_unary_core_angle_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8399975Z   test_unary_core_angle_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8400314Z   test_unary_core_angle_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8400656Z   test_unary_core_asin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.028s)
2023-01-11T21:30:38.8401031Z   test_unary_core_asin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8401360Z   test_unary_core_asin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8401732Z   test_unary_core_asin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8402074Z   test_unary_core_asin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8402411Z   test_unary_core_asin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8402739Z   test_unary_core_asinh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8403085Z   test_unary_core_asinh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8403566Z   test_unary_core_asinh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8403907Z   test_unary_core_asinh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8404251Z   test_unary_core_asinh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8404591Z   test_unary_core_asinh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8404932Z   test_unary_core_atan_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8405261Z   test_unary_core_atan_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8405603Z   test_unary_core_atan_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8405946Z   test_unary_core_atan_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8406285Z   test_unary_core_atan_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8406615Z   test_unary_core_atan_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8406957Z   test_unary_core_atanh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8407301Z   test_unary_core_atanh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8407631Z   test_unary_core_atanh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8407970Z   test_unary_core_atanh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8408307Z   test_unary_core_atanh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8408646Z   test_unary_core_atanh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8408976Z   test_unary_core_ceil_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8409320Z   test_unary_core_ceil_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8409661Z   test_unary_core_ceil_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8410003Z   test_unary_core_ceil_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8410332Z   test_unary_core_ceil_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8410669Z   test_unary_core_ceil_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8411022Z   test_unary_core_conj_physical_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8411381Z   test_unary_core_conj_physical_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8411792Z   test_unary_core_conj_physical_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8412185Z   test_unary_core_conj_physical_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8412542Z   test_unary_core_conj_physical_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8412893Z   test_unary_core_conj_physical_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8413254Z   test_unary_core_conj_physical_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8413614Z   test_unary_core_conj_physical_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8413969Z   test_unary_core_conj_physical_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8414301Z   test_unary_core_cos_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8414643Z   test_unary_core_cos_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8414983Z   test_unary_core_cos_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8415317Z   test_unary_core_cos_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8415637Z   test_unary_core_cos_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8415978Z   test_unary_core_cos_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8416321Z   test_unary_core_cosh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8416652Z   test_unary_core_cosh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8416994Z   test_unary_core_cosh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8417338Z   test_unary_core_cosh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8417679Z   test_unary_core_cosh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8418003Z   test_unary_core_cosh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8418349Z   test_unary_core_deg2rad_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8418699Z   test_unary_core_deg2rad_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8419050Z   test_unary_core_deg2rad_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8419384Z   test_unary_core_deg2rad_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8419725Z   test_unary_core_deg2rad_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8420072Z   test_unary_core_deg2rad_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8420419Z   test_unary_core_deg2rad_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8420750Z   test_unary_core_deg2rad_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8421090Z   test_unary_core_deg2rad_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8421436Z   test_unary_core_digamma_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8421769Z   test_unary_core_digamma_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8422115Z   test_unary_core_digamma_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8422489Z   test_unary_core_digamma_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8422879Z   test_unary_core_digamma_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8423216Z   test_unary_core_digamma_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8423558Z   test_unary_core_erf_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8423897Z   test_unary_core_erf_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8424233Z   test_unary_core_erf_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8424556Z   test_unary_core_erf_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8424891Z   test_unary_core_erf_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8425230Z   test_unary_core_erf_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8425560Z   test_unary_core_erfc_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8425902Z   test_unary_core_erfc_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8426244Z   test_unary_core_erfc_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8426585Z   test_unary_core_erfc_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8426911Z   test_unary_core_erfc_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8427250Z   test_unary_core_erfc_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8427598Z   test_unary_core_erfinv_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8427942Z   test_unary_core_erfinv_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8428275Z   test_unary_core_erfinv_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8428621Z   test_unary_core_erfinv_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8428962Z   test_unary_core_erfinv_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8429303Z   test_unary_core_erfinv_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8429628Z   test_unary_core_exp2_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8429969Z   test_unary_core_exp2_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8430312Z   test_unary_core_exp2_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8430640Z   test_unary_core_exp2_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8430980Z   test_unary_core_exp2_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8431321Z   test_unary_core_exp2_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8431662Z   test_unary_core_exp2_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8431988Z   test_unary_core_exp2_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8432327Z   test_unary_core_exp2_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8432668Z   test_unary_core_exp_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8433042Z   test_unary_core_exp_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8433473Z   test_unary_core_exp_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8433822Z   test_unary_core_exp_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8434160Z   test_unary_core_exp_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8434488Z   test_unary_core_exp_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8434830Z   test_unary_core_expm1_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8435178Z   test_unary_core_expm1_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8435520Z   test_unary_core_expm1_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8435853Z   test_unary_core_expm1_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8436195Z   test_unary_core_expm1_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8436537Z   test_unary_core_expm1_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8436882Z   test_unary_core_floor_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8437210Z   test_unary_core_floor_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8437551Z   test_unary_core_floor_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8437890Z   test_unary_core_floor_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8438217Z   test_unary_core_floor_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8438559Z   test_unary_core_floor_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8438905Z   test_unary_core_frac_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8439248Z   test_unary_core_frac_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8439576Z   test_unary_core_frac_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8439916Z   test_unary_core_frac_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8440253Z   test_unary_core_frac_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8440590Z   test_unary_core_frac_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8440920Z   test_unary_core_frac_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8441255Z   test_unary_core_frac_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8441597Z   test_unary_core_frac_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8441933Z   test_unary_core_i0_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8442258Z   test_unary_core_i0_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8442598Z   test_unary_core_i0_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8442936Z   test_unary_core_i0_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8443256Z   test_unary_core_i0_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8443790Z   test_unary_core_i0_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8444131Z   test_unary_core_isnan_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8444537Z   test_unary_core_isnan_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8444871Z   test_unary_core_isnan_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8445214Z   test_unary_core_isnan_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8445552Z   test_unary_core_isnan_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8445893Z   test_unary_core_isnan_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8446224Z   test_unary_core_isnan_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8446565Z   test_unary_core_isnan_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8446908Z   test_unary_core_isnan_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8447238Z   test_unary_core_lgamma_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8447590Z   test_unary_core_lgamma_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8447933Z   test_unary_core_lgamma_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8448278Z   test_unary_core_lgamma_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8448608Z   test_unary_core_lgamma_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8448951Z   test_unary_core_lgamma_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8449292Z   test_unary_core_log10_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8449633Z   test_unary_core_log10_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8449962Z   test_unary_core_log10_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8450300Z   test_unary_core_log10_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8450637Z   test_unary_core_log10_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8450962Z   test_unary_core_log10_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8451301Z   test_unary_core_log1p_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8451643Z   test_unary_core_log1p_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8451987Z   test_unary_core_log1p_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8452313Z   test_unary_core_log1p_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8452653Z   test_unary_core_log1p_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8453021Z   test_unary_core_log1p_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8453362Z   test_unary_core_log2_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8453688Z   test_unary_core_log2_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8454028Z   test_unary_core_log2_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8454414Z   test_unary_core_log2_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8454751Z   test_unary_core_log2_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8455107Z   test_unary_core_log2_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8455450Z   test_unary_core_log_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8455787Z   test_unary_core_log_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8456115Z   test_unary_core_log_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8456453Z   test_unary_core_log_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8456791Z   test_unary_core_log_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8457131Z   test_unary_core_log_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8457458Z   test_unary_core_logit_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8457803Z   test_unary_core_logit_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8458145Z   test_unary_core_logit_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8458489Z   test_unary_core_logit_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8458819Z   test_unary_core_logit_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8459156Z   test_unary_core_logit_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.003s)
2023-01-11T21:30:38.8459503Z   test_unary_core_nan_to_num_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8459846Z   test_unary_core_nan_to_num_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8460196Z   test_unary_core_nan_to_num_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8460546Z   test_unary_core_nan_to_num_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8460894Z   test_unary_core_nan_to_num_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8461226Z   test_unary_core_nan_to_num_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8461576Z   test_unary_core_nan_to_num_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8461919Z   test_unary_core_nan_to_num_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8462263Z   test_unary_core_nan_to_num_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8462594Z   test_unary_core_neg_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8462934Z   test_unary_core_neg_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8463271Z   test_unary_core_neg_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8463599Z   test_unary_core_neg_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8463917Z   test_unary_core_neg_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8464257Z   test_unary_core_neg_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8464593Z   test_unary_core_neg_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8464972Z   test_unary_core_neg_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8465311Z   test_unary_core_neg_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8465688Z   test_unary_core_positive_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8466045Z   test_unary_core_positive_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8466383Z   test_unary_core_positive_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8466732Z   test_unary_core_positive_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8467080Z   test_unary_core_positive_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8467426Z   test_unary_core_positive_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8467761Z   test_unary_core_positive_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8468113Z   test_unary_core_positive_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8468457Z   test_unary_core_positive_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8468795Z   test_unary_core_rad2deg_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8469147Z   test_unary_core_rad2deg_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8469491Z   test_unary_core_rad2deg_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8469836Z   test_unary_core_rad2deg_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8470172Z   test_unary_core_rad2deg_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8470517Z   test_unary_core_rad2deg_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8470861Z   test_unary_core_rad2deg_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8471209Z   test_unary_core_rad2deg_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8471538Z   test_unary_core_rad2deg_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8471890Z   test_unary_core_reciprocal_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8472253Z   test_unary_core_reciprocal_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8472614Z   test_unary_core_reciprocal_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8472957Z   test_unary_core_reciprocal_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8473312Z   test_unary_core_reciprocal_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8473732Z   test_unary_core_reciprocal_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8474070Z   test_unary_core_reciprocal_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8474420Z   test_unary_core_reciprocal_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8474767Z   test_unary_core_reciprocal_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8475131Z   test_unary_core_round_decimals_0_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8475487Z   test_unary_core_round_decimals_0_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8475893Z   test_unary_core_round_decimals_0_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8476289Z   test_unary_core_round_decimals_0_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8476657Z   test_unary_core_round_decimals_0_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8477006Z   test_unary_core_round_decimals_0_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8477365Z   test_unary_core_round_decimals_3_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8477729Z   test_unary_core_round_decimals_3_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8478094Z   test_unary_core_round_decimals_3_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8478446Z   test_unary_core_round_decimals_3_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8478809Z   test_unary_core_round_decimals_3_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8479161Z   test_unary_core_round_decimals_3_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8479529Z   test_unary_core_round_decimals_neg_3_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8479890Z   test_unary_core_round_decimals_neg_3_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8480262Z   test_unary_core_round_decimals_neg_3_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8480631Z   test_unary_core_round_decimals_neg_3_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8480987Z   test_unary_core_round_decimals_neg_3_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8481359Z   test_unary_core_round_decimals_neg_3_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8481717Z   test_unary_core_round_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8482062Z   test_unary_core_round_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8482392Z   test_unary_core_round_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8482733Z   test_unary_core_round_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8483073Z   test_unary_core_round_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8483551Z   test_unary_core_round_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8483890Z   test_unary_core_rsqrt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8484235Z   test_unary_core_rsqrt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8484579Z   test_unary_core_rsqrt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8484919Z   test_unary_core_rsqrt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8485295Z   test_unary_core_rsqrt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8485632Z   test_unary_core_rsqrt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8485975Z   test_unary_core_sgn_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8486363Z   test_unary_core_sgn_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8486748Z   test_unary_core_sgn_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8487092Z   test_unary_core_sgn_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8487430Z   test_unary_core_sgn_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8487752Z   test_unary_core_sgn_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8488093Z   test_unary_core_sgn_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8488429Z   test_unary_core_sgn_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8488766Z   test_unary_core_sgn_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8489100Z   test_unary_core_sigmoid_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8489455Z   test_unary_core_sigmoid_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8489805Z   test_unary_core_sigmoid_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8490141Z   test_unary_core_sigmoid_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8490494Z   test_unary_core_sigmoid_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8490836Z   test_unary_core_sigmoid_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8491181Z   test_unary_core_sign_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8491509Z   test_unary_core_sign_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8491851Z   test_unary_core_sign_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8492193Z   test_unary_core_sign_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8492529Z   test_unary_core_sign_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8492857Z   test_unary_core_sign_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8493197Z   test_unary_core_sign_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8493536Z   test_unary_core_sign_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8493871Z   test_unary_core_sign_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8494204Z   test_unary_core_signbit_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8494557Z   test_unary_core_signbit_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8494904Z   test_unary_core_signbit_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8495238Z   test_unary_core_signbit_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8495582Z   test_unary_core_signbit_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8495921Z   test_unary_core_signbit_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8496267Z   test_unary_core_signbit_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8496597Z   test_unary_core_signbit_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8496967Z   test_unary_core_signbit_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8497355Z   test_unary_core_sin_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8497695Z   test_unary_core_sin_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8498016Z   test_unary_core_sin_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8498351Z   test_unary_core_sin_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8498689Z   test_unary_core_sin_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8499014Z   test_unary_core_sin_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8499352Z   test_unary_core_sinc_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8499695Z   test_unary_core_sinc_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8500038Z   test_unary_core_sinc_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8500364Z   test_unary_core_sinc_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8500703Z   test_unary_core_sinc_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8501043Z   test_unary_core_sinc_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8501383Z   test_unary_core_sinh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8501710Z   test_unary_core_sinh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8502045Z   test_unary_core_sinh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8502387Z   test_unary_core_sinh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8502730Z   test_unary_core_sinh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8503053Z   test_unary_core_sinh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8503393Z   test_unary_core_sqrt_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8503733Z   test_unary_core_sqrt_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8504058Z   test_unary_core_sqrt_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8504394Z   test_unary_core_sqrt_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8504731Z   test_unary_core_sqrt_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8505072Z   test_unary_core_sqrt_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8505405Z   test_unary_core_square_layout_torch_sparse_coo_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8505754Z   test_unary_core_square_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8506103Z   test_unary_core_square_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8506447Z   test_unary_core_square_layout_torch_sparse_csr_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8506775Z   test_unary_core_square_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8507117Z   test_unary_core_square_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8507494Z   test_unary_core_square_layout_torch_strided_cpu_float16 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8507857Z   test_unary_core_square_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8508199Z   test_unary_core_square_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.002s)
2023-01-11T21:30:38.8508541Z   test_unary_core_tan_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8508876Z   test_unary_core_tan_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8509198Z   test_unary_core_tan_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8509534Z   test_unary_core_tan_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8509867Z   test_unary_core_tan_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8510204Z   test_unary_core_tan_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8510532Z   test_unary_core_tanh_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8510877Z   test_unary_core_tanh_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8511217Z   test_unary_core_tanh_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8511544Z   test_unary_core_tanh_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8511884Z   test_unary_core_tanh_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8512221Z   test_unary_core_tanh_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8512563Z   test_unary_core_trunc_layout_torch_sparse_coo_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8512898Z   test_unary_core_trunc_layout_torch_sparse_coo_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8513240Z   test_unary_core_trunc_layout_torch_sparse_csr_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8513649Z   test_unary_core_trunc_layout_torch_sparse_csr_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8513993Z   test_unary_core_trunc_layout_torch_strided_cpu_float32 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8514322Z   test_unary_core_trunc_layout_torch_strided_cpu_float64 (__main__.TestOperatorsCPU) ... ok (0.001s)
2023-01-11T21:30:38.8514610Z   test_all (__main__.TestReductions) ... ok (0.003s)
2023-01-11T21:30:38.8514851Z   test_amax (__main__.TestReductions) ... ok (0.003s)
2023-01-11T21:30:38.8515089Z   test_amax_grad (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8515340Z   test_amin (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8515590Z   test_amin_grad (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8515841Z   test_grad_dtype (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8516488Z   test_max_not_implemented (__main__.TestReductions) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:299: UserWarning: max is not implemented in __torch_dispatch__ for MaskedTensor.
2023-01-11T21:30:38.8517058Z If you would like this operator to be supported, please file an issue for a feature request at https://github.com/pytorch/maskedtensor/issues with a minimal reproducible code snippet.
2023-01-11T21:30:38.8517535Z In the case that the semantics for the operator are not trivial, it would be appreciated to also include a proposal for the semantics.
2023-01-11T21:30:38.8517831Z   warnings.warn(msg)
2023-01-11T21:30:38.8517991Z ok (0.001s)
2023-01-11T21:30:38.8518195Z   test_mean (__main__.TestReductions) ... ok (0.003s)
2023-01-11T21:30:38.8518485Z   test_mean_dim_grad (__main__.TestReductions) ... ok (0.003s)
2023-01-11T21:30:38.8518723Z   test_mean_grad_case_1a (__main__.TestReductions)
2023-01-11T21:30:38.8519552Z values.requires_grad = True ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2023-01-11T21:30:38.8520144Z   "module for further information about the project."), UserWarning)
2023-01-11T21:30:38.8520736Z /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2023-01-11T21:30:38.8521153Z   "To avoid this, you can use data.clone().detach()", UserWarning)
2023-01-11T21:30:38.8521370Z ok (0.005s)
2023-01-11T21:30:38.8521574Z   test_mean_grad_case_1b (__main__.TestReductions)
2023-01-11T21:30:38.8521798Z values.requires_grad = False ... ok (0.003s)
2023-01-11T21:30:38.8522036Z   test_mean_grad_case_1c (__main__.TestReductions)
2023-01-11T21:30:38.8522824Z values.requires_grad = True ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2023-01-11T21:30:38.8523521Z   "module for further information about the project."), UserWarning)
2023-01-11T21:30:38.8523790Z ok (0.004s)
2023-01-11T21:30:38.8523996Z   test_mean_grad_case_1d (__main__.TestReductions)
2023-01-11T21:30:38.8524235Z values.requires_grad = False ... ok (0.001s)
2023-01-11T21:30:38.8524471Z   test_mean_grad_case_1e (__main__.TestReductions)
2023-01-11T21:30:38.8525080Z values.requires_grad = True ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2023-01-11T21:30:38.8525546Z   "To avoid this, you can use data.clone().detach()", UserWarning)
2023-01-11T21:30:38.8525761Z ok (0.005s)
2023-01-11T21:30:38.8525949Z   test_mean_grad_case_1f (__main__.TestReductions)
2023-01-11T21:30:38.8526733Z values.requires_grad = False ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:159: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2023-01-11T21:30:38.8527304Z   "module for further information about the project."), UserWarning)
2023-01-11T21:30:38.8527525Z ok (0.001s)
2023-01-11T21:30:38.8527718Z   test_prod (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8528357Z   test_prod_grad (__main__.TestReductions) ... /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py:162: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2023-01-11T21:30:38.8528821Z   "To avoid this, you can use data.clone().detach()", UserWarning)
2023-01-11T21:30:38.8529035Z ok (0.003s)
2023-01-11T21:30:38.8529222Z   test_sum (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8529469Z   test_sum_grad (__main__.TestReductions) ... ok (0.002s)
2023-01-11T21:30:38.8529732Z   test_inplace_unary_fn_aten_abs_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8530002Z   test_inplace_unary_fn_aten_absolute_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8530283Z   test_inplace_unary_fn_aten_acos_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8530560Z   test_inplace_unary_fn_aten_acosh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8530901Z   test_inplace_unary_fn_aten_arccos_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8531170Z   test_inplace_unary_fn_aten_arccosh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8531490Z   test_inplace_unary_fn_aten_arcsin_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8531772Z   test_inplace_unary_fn_aten_arcsinh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8532041Z   test_inplace_unary_fn_aten_arctan_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8532318Z   test_inplace_unary_fn_aten_arctanh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8532596Z   test_inplace_unary_fn_aten_asin_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8532874Z   test_inplace_unary_fn_aten_asinh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8533139Z   test_inplace_unary_fn_aten_atan_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8533414Z   test_inplace_unary_fn_aten_atanh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8533699Z   test_inplace_unary_fn_aten_bitwise_not_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8533967Z   test_inplace_unary_fn_aten_ceil_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8534241Z   test_inplace_unary_fn_aten_clamp_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8534514Z   test_inplace_unary_fn_aten_clip_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8534788Z   test_inplace_unary_fn_aten_conj_physical_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8535079Z   test_inplace_unary_fn_aten_cos_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8535349Z   test_inplace_unary_fn_aten_cosh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8535627Z   test_inplace_unary_fn_aten_deg2rad_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8535896Z   test_inplace_unary_fn_aten_digamma_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8536174Z   test_inplace_unary_fn_aten_erf_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8536449Z   test_inplace_unary_fn_aten_erfc_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8536715Z   test_inplace_unary_fn_aten_erfinv_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8536992Z   test_inplace_unary_fn_aten_exp2_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8537266Z   test_inplace_unary_fn_aten_exp_ (__main__.TestUnary) ... ok (0.002s)
2023-01-11T21:30:38.8537545Z   test_inplace_unary_fn_aten_expm1_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8537805Z   test_inplace_unary_fn_aten_fix_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8538079Z   test_inplace_unary_fn_aten_floor_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8538355Z   test_inplace_unary_fn_aten_frac_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8538614Z   test_inplace_unary_fn_aten_i0_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8538889Z   test_inplace_unary_fn_aten_lgamma_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8539168Z   test_inplace_unary_fn_aten_log10_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8539444Z   test_inplace_unary_fn_aten_log1p_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8539707Z   test_inplace_unary_fn_aten_log2_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8539977Z   test_inplace_unary_fn_aten_log_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8540250Z   test_inplace_unary_fn_aten_logit_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8540515Z   test_inplace_unary_fn_aten_nan_to_num_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8540792Z   test_inplace_unary_fn_aten_neg_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8541070Z   test_inplace_unary_fn_aten_negative_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8541336Z   test_inplace_unary_fn_aten_pow_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8541615Z   test_inplace_unary_fn_aten_rad2deg_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8541942Z   test_inplace_unary_fn_aten_reciprocal_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8542229Z   test_inplace_unary_fn_aten_round_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8542521Z   test_inplace_unary_fn_aten_rsqrt_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8542794Z   test_inplace_unary_fn_aten_sgn_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8543069Z   test_inplace_unary_fn_aten_sigmoid_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8543336Z   test_inplace_unary_fn_aten_sign_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8543606Z   test_inplace_unary_fn_aten_sin_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8543877Z   test_inplace_unary_fn_aten_sinc_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8544152Z   test_inplace_unary_fn_aten_sinh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8544412Z   test_inplace_unary_fn_aten_sqrt_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8544691Z   test_inplace_unary_fn_aten_square_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8544965Z   test_inplace_unary_fn_aten_tan_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8545225Z   test_inplace_unary_fn_aten_tanh_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8545502Z   test_inplace_unary_fn_aten_trunc_ (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8545766Z   test_unary_fn_aten_abs (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8546013Z   test_unary_fn_aten_absolute (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8546273Z   test_unary_fn_aten_acos (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8546525Z   test_unary_fn_aten_acosh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8546779Z   test_unary_fn_aten_angle (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8547023Z   test_unary_fn_aten_arccos (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8547285Z   test_unary_fn_aten_arccosh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8547542Z   test_unary_fn_aten_arcsin (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8547784Z   test_unary_fn_aten_arcsinh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8548043Z   test_unary_fn_aten_arctan (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8548299Z   test_unary_fn_aten_arctanh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8548551Z   test_unary_fn_aten_asin (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8548794Z   test_unary_fn_aten_asinh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8549044Z   test_unary_fn_aten_atan (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8549296Z   test_unary_fn_aten_atanh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8549550Z   test_unary_fn_aten_bitwise_not (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8549812Z   test_unary_fn_aten_ceil (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8550067Z   test_unary_fn_aten_clamp (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8550307Z   test_unary_fn_aten_clip (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8550571Z   test_unary_fn_aten_conj_physical (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8550839Z   test_unary_fn_aten_cos (__main__.TestUnary) ... ok (0.002s)
2023-01-11T21:30:38.8551090Z   test_unary_fn_aten_cosh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8551334Z   test_unary_fn_aten_deg2rad (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8551594Z   test_unary_fn_aten_digamma (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8551851Z   test_unary_fn_aten_erf (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8552087Z   test_unary_fn_aten_erfc (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8552343Z   test_unary_fn_aten_erfinv (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8552599Z   test_unary_fn_aten_exp (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8552886Z   test_unary_fn_aten_exp2 (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8553141Z   test_unary_fn_aten_expm1 (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8553464Z   test_unary_fn_aten_fix (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8568213Z   test_unary_fn_aten_floor (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8568498Z   test_unary_fn_aten_frac (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8568754Z   test_unary_fn_aten_i0 (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8568998Z   test_unary_fn_aten_isnan (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8569259Z   test_unary_fn_aten_lgamma (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8569517Z   test_unary_fn_aten_log (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8569762Z   test_unary_fn_aten_log10 (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8570017Z   test_unary_fn_aten_log1p (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8570275Z   test_unary_fn_aten_log2 (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8570516Z   test_unary_fn_aten_logit (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8570777Z   test_unary_fn_aten_nan_to_num (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8571042Z   test_unary_fn_aten_neg (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8571299Z   test_unary_fn_aten_negative (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8571549Z   test_unary_fn_aten_positive (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8571810Z   test_unary_fn_aten_pow (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8572064Z   test_unary_fn_aten_rad2deg (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8572319Z   test_unary_fn_aten_reciprocal (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8572587Z   test_unary_fn_aten_round (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8572839Z   test_unary_fn_aten_rsqrt (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8573079Z   test_unary_fn_aten_sgn (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8573334Z   test_unary_fn_aten_sigmoid (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8573589Z   test_unary_fn_aten_sign (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8573844Z   test_unary_fn_aten_signbit (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8574084Z   test_unary_fn_aten_sin (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8574356Z   test_unary_fn_aten_sinc (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8574605Z   test_unary_fn_aten_sinh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8574842Z   test_unary_fn_aten_sqrt (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8575093Z   test_unary_fn_aten_square (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8575347Z   test_unary_fn_aten_tan (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8575599Z   test_unary_fn_aten_tanh (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8575840Z   test_unary_fn_aten_trunc (__main__.TestUnary) ... ok (0.001s)
2023-01-11T21:30:38.8575992Z 
2023-01-11T21:30:38.8576251Z ----------------------------------------------------------------------
2023-01-11T21:30:38.8576494Z Ran 826 tests in 2.137s
2023-01-11T21:30:38.8576609Z 
2023-01-11T21:30:38.8576669Z OK (skipped=3)
2023-01-11T21:30:38.8576775Z 
2023-01-11T21:30:38.8576861Z Generating XML reports...
2023-01-11T21:30:38.8577282Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestBasicsCPU-20230111213036.xml
2023-01-11T21:30:38.8577768Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestBinary-20230111213036.xml
2023-01-11T21:30:38.8578270Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestOperatorsCPU-20230111213036.xml
2023-01-11T21:30:38.8578775Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestReductions-20230111213036.xml
2023-01-11T21:30:38.8579252Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestUnary-20230111213036.xml
2023-01-11T21:30:38.8579530Z 
2023-01-11T21:30:38.8579850Z ##[endgroup]
2023-01-11T21:30:38.8580286Z FINISHED PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor__ryi80jl)
2023-01-11T21:30:38.8580516Z 
2023-01-11T21:30:40.6251101Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:40.7593540Z Ignoring disabled issues:  []
2023-01-11T21:30:40.7756370Z Running backends/xeon/test_launch ... [2023-01-11 21:30:40.775326]
2023-01-11T21:30:40.7757952Z Executing ['/opt/conda/bin/python', '-bb', 'backends/xeon/test_launch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:40.775579]
2023-01-11T21:30:43.9226470Z 
2023-01-11T21:30:43.9227241Z Expand the folded group to see the log file of backends/xeon/test_launch
2023-01-11T21:30:43.9228320Z ##[group]PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_asau868f)
2023-01-11T21:30:43.9229264Z Test results will be stored in test-reports/python-unittest/backends.xeon.test_launch
2023-01-11T21:30:43.9229586Z 
2023-01-11T21:30:43.9229719Z Running tests...
2023-01-11T21:30:43.9230249Z ----------------------------------------------------------------------
2023-01-11T21:30:43.9231625Z   test_cpu_info (__main__.TestTorchrun) ... 2023-01-11 21:30:42,134 - torch.backends.xeon.run_cpu - WARNING - Numa Aware: cores:[2, 3, 4, 5] on different NUMA nodes:[0, 1]. To avoid this behavior, please use --ncores_per_instance knob to make sure number of cores is divisible by --ncores_per_instance. Alternatively, please use --skip_cross_node_cores knob.
2023-01-11T21:30:43.9232425Z ok (0.161s)
2023-01-11T21:30:43.9232760Z   test_multi_threads (__main__.TestTorchrun) ... ok (1.535s)
2023-01-11T21:30:43.9233016Z 
2023-01-11T21:30:43.9233474Z ----------------------------------------------------------------------
2023-01-11T21:30:43.9233893Z Ran 2 tests in 1.696s
2023-01-11T21:30:43.9234096Z 
2023-01-11T21:30:43.9234200Z OK
2023-01-11T21:30:43.9234328Z 
2023-01-11T21:30:43.9234455Z Generating XML reports...
2023-01-11T21:30:43.9235217Z Generated XML report: test-reports/python-unittest/backends.xeon.test_launch/TEST-TestTorchrun-20230111213041.xml
2023-01-11T21:30:43.9235641Z 
2023-01-11T21:30:43.9236066Z ##[endgroup]
2023-01-11T21:30:43.9236767Z FINISHED PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_asau868f)
2023-01-11T21:30:43.9237153Z 
2023-01-11T21:30:45.7325949Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:45.8661286Z Ignoring disabled issues:  []
2023-01-11T21:30:45.8823891Z Running test_shape_ops ... [2023-01-11 21:30:45.882090]
2023-01-11T21:30:45.8825338Z Executing ['/opt/conda/bin/python', '-bb', 'test_shape_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:45.882331]
2023-01-11T21:30:48.9329140Z 
2023-01-11T21:30:48.9329652Z Expand the folded group to see the log file of test_shape_ops
2023-01-11T21:30:48.9330409Z ##[group]PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_97aoizj4)
2023-01-11T21:30:48.9330928Z Test results will be stored in test-reports/python-unittest/test_shape_ops
2023-01-11T21:30:48.9331111Z 
2023-01-11T21:30:48.9331185Z Running tests...
2023-01-11T21:30:48.9331493Z ----------------------------------------------------------------------
2023-01-11T21:30:48.9331796Z   test_clamp_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.004s)
2023-01-11T21:30:48.9332067Z   test_clamp_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9332361Z   test_clamp_propagates_nans_cpu (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9332666Z   test_clamp_raises_arg_errors_cpu (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9332959Z   test_complex_rot90_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9333467Z   test_complex_rot90_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9333757Z   test_diag_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9334097Z   test_diag_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9334360Z   test_diagonal_cpu (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9335511Z   test_diagonal_multidim_cpu_float32 (__main__.TestShapeOpsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:679: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:210.)
2023-01-11T21:30:48.9336244Z   return torch.as_tensor(tensor_like)
2023-01-11T21:30:48.9336442Z ok (0.004s)
2023-01-11T21:30:48.9336669Z   test_flip_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.014s)
2023-01-11T21:30:48.9336933Z   test_flip_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.010s)
2023-01-11T21:30:48.9337211Z   test_flip_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.014s)
2023-01-11T21:30:48.9337494Z   test_flip_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.015s)
2023-01-11T21:30:48.9337760Z   test_flip_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.013s)
2023-01-11T21:30:48.9338035Z   test_flip_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.066s)
2023-01-11T21:30:48.9338311Z   test_flip_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.013s)
2023-01-11T21:30:48.9338582Z   test_flip_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.010s)
2023-01-11T21:30:48.9338838Z   test_flip_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.010s)
2023-01-11T21:30:48.9339099Z   test_flip_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.010s)
2023-01-11T21:30:48.9339370Z   test_flip_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.010s)
2023-01-11T21:30:48.9339677Z   test_flip_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.010s)
2023-01-11T21:30:48.9339943Z   test_flip_errors_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9340235Z   test_flip_errors_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9340525Z   test_flip_errors_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9340809Z   test_flip_errors_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9341101Z   test_flip_errors_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9341391Z   test_flip_errors_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9341678Z   test_flip_errors_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9341949Z   test_flip_errors_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9342236Z   test_flip_errors_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9342522Z   test_flip_errors_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9342796Z   test_flip_errors_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9343078Z   test_flip_errors_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.012s)
2023-01-11T21:30:48.9343386Z   test_flip_large_tensor_cpu (__main__.TestShapeOpsCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:30:48.9343697Z   test_flip_numpy_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.026s)
2023-01-11T21:30:48.9343968Z   test_flip_numpy_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.021s)
2023-01-11T21:30:48.9344258Z   test_flip_numpy_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.025s)
2023-01-11T21:30:48.9344551Z   test_flip_numpy_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.025s)
2023-01-11T21:30:48.9344831Z   test_flip_numpy_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.026s)
2023-01-11T21:30:48.9345162Z   test_flip_numpy_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.026s)
2023-01-11T21:30:48.9345445Z   test_flip_numpy_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.024s)
2023-01-11T21:30:48.9345749Z   test_flip_numpy_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.021s)
2023-01-11T21:30:48.9346034Z   test_flip_numpy_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.021s)
2023-01-11T21:30:48.9346311Z   test_flip_numpy_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.021s)
2023-01-11T21:30:48.9346593Z   test_flip_numpy_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.021s)
2023-01-11T21:30:48.9346858Z   test_flip_numpy_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.021s)
2023-01-11T21:30:48.9347143Z   test_fliplr_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.004s)
2023-01-11T21:30:48.9347430Z   test_fliplr_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.004s)
2023-01-11T21:30:48.9347696Z   test_fliplr_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.003s)
2023-01-11T21:30:48.9347990Z   test_fliplr_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9348292Z   test_fliplr_invalid_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9348586Z   test_fliplr_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9348862Z   test_flipud_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9349147Z   test_flipud_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.005s)
2023-01-11T21:30:48.9349423Z   test_flipud_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.004s)
2023-01-11T21:30:48.9349701Z   test_flipud_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.003s)
2023-01-11T21:30:48.9350003Z   test_flipud_invalid_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.003s)
2023-01-11T21:30:48.9350296Z   test_flipud_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.003s)
2023-01-11T21:30:48.9350588Z   test_movedim_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.055s)
2023-01-11T21:30:48.9350863Z   test_movedim_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.050s)
2023-01-11T21:30:48.9351141Z   test_movedim_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.023s)
2023-01-11T21:30:48.9351439Z   test_movedim_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.041s)
2023-01-11T21:30:48.9351729Z   test_movedim_invalid_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.040s)
2023-01-11T21:30:48.9352021Z   test_movedim_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.040s)
2023-01-11T21:30:48.9352762Z   test_nonzero_astuple_out_cpu (__main__.TestShapeOpsCPU) ... test_shape_ops.py:629: UserWarning: An output with one or more elements was resized since it had shape [3, 3, 3], which does not match the required output shape [27, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:30:48.9353588Z   self.assertEqual(torch.nonzero(t, as_tuple=False, out=out), torch.nonzero(t, out=out))
2023-01-11T21:30:48.9353847Z ok (0.049s)
2023-01-11T21:30:48.9354510Z   test_nonzero_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:30:48.9355159Z   torch.nonzero(tensor, out=dst3)
2023-01-11T21:30:48.9355845Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:30:48.9356483Z   torch.nonzero(tensor, out=dst3)
2023-01-11T21:30:48.9357122Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [6, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:30:48.9357708Z   torch.nonzero(tensor, out=dst3)
2023-01-11T21:30:48.9358318Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:30:48.9358898Z   torch.nonzero(tensor, out=dst3)
2023-01-11T21:30:48.9359535Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [60, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T21:30:48.9360131Z   torch.nonzero(tensor, out=dst3)
2023-01-11T21:30:48.9360318Z ok (0.021s)
2023-01-11T21:30:48.9360529Z   test_nonzero_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9360811Z   test_nonzero_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9361095Z   test_nonzero_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9361359Z   test_nonzero_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9361633Z   test_nonzero_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9361910Z   test_nonzero_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9362187Z   test_nonzero_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9362445Z   test_nonzero_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9362717Z   test_nonzero_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.020s)
2023-01-11T21:30:48.9363006Z   test_nonzero_discontiguous_cpu (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9363293Z   test_nonzero_no_warning_cpu (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9363797Z   test_nonzero_non_diff_cpu (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9364076Z   test_rot90_cpu (__main__.TestShapeOpsCPU) ... ok (0.023s)
2023-01-11T21:30:48.9364365Z   test_sparse_dense_dim_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9364661Z   test_sparse_dense_dim_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9364961Z   test_sparse_dense_dim_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.001s)
2023-01-11T21:30:48.9365552Z   test_tolist_cpu (__main__.TestShapeOpsCPU) ... test_shape_ops.py:75: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:48.9366159Z   storage = torch.Storage(table1D)
2023-01-11T21:30:48.9366692Z test_shape_ops.py:77: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:48.9367188Z   self.assertEqual(storage.tolist(), table1D)
2023-01-11T21:30:48.9368002Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:675: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:48.9368499Z   return list(self)
2023-01-11T21:30:48.9369224Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:649: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:48.9369768Z   return iter(map(lambda i: self[i], range(self.size())))
2023-01-11T21:30:48.9370289Z test_shape_ops.py:79: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:48.9370780Z   self.assertEqual(storage.tolist(), table1D)
2023-01-11T21:30:48.9370985Z ok (0.003s)
2023-01-11T21:30:48.9371197Z   test_trace_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9371475Z   test_trace_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9371752Z   test_trace_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9372008Z   test_trace_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9372274Z   test_trace_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9372547Z   test_trace_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9372804Z   test_trace_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.002s)
2023-01-11T21:30:48.9373070Z   test_unbind_cpu (__main__.TestShapeOpsCPU) ... ok (0.003s)
2023-01-11T21:30:48.9373222Z 
2023-01-11T21:30:48.9373420Z ----------------------------------------------------------------------
2023-01-11T21:30:48.9373660Z Ran 92 tests in 1.255s
2023-01-11T21:30:48.9373761Z 
2023-01-11T21:30:48.9373833Z OK (skipped=1)
2023-01-11T21:30:48.9373939Z 
2023-01-11T21:30:48.9374021Z Generating XML reports...
2023-01-11T21:30:48.9374429Z Generated XML report: test-reports/python-unittest/test_shape_ops/TEST-TestShapeOpsCPU-20230111213047.xml
2023-01-11T21:30:48.9374665Z 
2023-01-11T21:30:48.9374915Z ##[endgroup]
2023-01-11T21:30:48.9375291Z FINISHED PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_97aoizj4)
2023-01-11T21:30:48.9375503Z 
2023-01-11T21:30:50.7331544Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:50.8666669Z Ignoring disabled issues:  []
2023-01-11T21:30:50.8830509Z Running test_futures ... [2023-01-11 21:30:50.882738]
2023-01-11T21:30:50.8832246Z Executing ['/opt/conda/bin/python', '-bb', 'test_futures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:50.882978]
2023-01-11T21:30:53.2881725Z 
2023-01-11T21:30:53.2882257Z Expand the folded group to see the log file of test_futures
2023-01-11T21:30:53.2885496Z ##[group]PRINTING LOG FILE of test_futures (/var/lib/jenkins/workspace/test/test-reports/test_futures_0bu46zk8)
2023-01-11T21:30:53.2886418Z Test results will be stored in test-reports/python-unittest/test_futures
2023-01-11T21:30:53.2886978Z 
2023-01-11T21:30:53.2887104Z Running tests...
2023-01-11T21:30:53.2887618Z ----------------------------------------------------------------------
2023-01-11T21:30:53.2888403Z   test_add_done_callback_error_is_ignored (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: ValueError: Expected error
2023-01-11T21:30:53.2888846Z 
2023-01-11T21:30:53.2888951Z At:
2023-01-11T21:30:53.2889274Z   test_futures.py(236): raise_value_error
2023-01-11T21:30:53.2889882Z   /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py(244): set_result
2023-01-11T21:30:53.2890391Z   test_futures.py(229): _test_add_done_callback_error_ignored
2023-01-11T21:30:53.2890863Z   test_futures.py(238): test_add_done_callback_error_is_ignored
2023-01-11T21:30:53.2891301Z   /opt/conda/lib/python3.7/unittest/case.py(628): run
2023-01-11T21:30:53.2891993Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py(2154): _run_with_retry
2023-01-11T21:30:53.2892747Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py(2230): run
2023-01-11T21:30:53.2893257Z   /opt/conda/lib/python3.7/unittest/case.py(676): __call__
2023-01-11T21:30:53.2893707Z   /opt/conda/lib/python3.7/unittest/suite.py(122): run
2023-01-11T21:30:53.2894161Z   /opt/conda/lib/python3.7/unittest/suite.py(84): __call__
2023-01-11T21:30:53.2894612Z   /opt/conda/lib/python3.7/unittest/suite.py(122): run
2023-01-11T21:30:53.2895043Z   /opt/conda/lib/python3.7/unittest/suite.py(84): __call__
2023-01-11T21:30:53.2895634Z   /opt/conda/lib/python3.7/site-packages/xmlrunner/runner.py(67): run
2023-01-11T21:30:53.2896078Z   /opt/conda/lib/python3.7/unittest/main.py(271): runTests
2023-01-11T21:30:53.2896480Z   /opt/conda/lib/python3.7/unittest/main.py(101): __init__
2023-01-11T21:30:53.2897133Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py(790): run_tests
2023-01-11T21:30:53.2897606Z   test_futures.py(340): <module>
2023-01-11T21:30:53.2897812Z 
2023-01-11T21:30:53.2897919Z ok (0.244s)
2023-01-11T21:30:53.2898326Z   test_add_done_callback_maintains_callback_order (__main__.TestFuture) ... ok (0.002s)
2023-01-11T21:30:53.2899117Z   test_add_done_callback_no_arg_error_is_ignored (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: TypeError: no_arg() takes 0 positional arguments but 1 was given
2023-01-11T21:30:53.2899720Z ok (0.001s)
2023-01-11T21:30:53.2900093Z   test_add_done_callback_simple (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2900552Z   test_chained_then (__main__.TestFuture) ... ok (0.003s)
2023-01-11T21:30:53.2900984Z   test_collect_all (__main__.TestFuture) ... ok (0.101s)
2023-01-11T21:30:53.2901380Z   test_done (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2901808Z   test_done_exception (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2902366Z   test_interleaving_then_and_add_done_callback_maintains_callback_order (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2903176Z   test_interleaving_then_and_add_done_callback_propagates_error (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: ValueError: Expected error
2023-01-11T21:30:53.2903660Z 
2023-01-11T21:30:53.2903749Z At:
2023-01-11T21:30:53.2904066Z   test_futures.py(280): raise_value_error
2023-01-11T21:30:53.2904683Z   /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py(244): set_result
2023-01-11T21:30:53.2905234Z   test_futures.py(285): test_interleaving_then_and_add_done_callback_propagates_error
2023-01-11T21:30:53.2905737Z   /opt/conda/lib/python3.7/unittest/case.py(628): run
2023-01-11T21:30:53.2906434Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py(2154): _run_with_retry
2023-01-11T21:30:53.2907185Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py(2230): run
2023-01-11T21:30:53.2907693Z   /opt/conda/lib/python3.7/unittest/case.py(676): __call__
2023-01-11T21:30:53.2908252Z   /opt/conda/lib/python3.7/unittest/suite.py(122): run
2023-01-11T21:30:53.2908704Z   /opt/conda/lib/python3.7/unittest/suite.py(84): __call__
2023-01-11T21:30:53.2909134Z   /opt/conda/lib/python3.7/unittest/suite.py(122): run
2023-01-11T21:30:53.2909637Z   /opt/conda/lib/python3.7/unittest/suite.py(84): __call__
2023-01-11T21:30:53.2910239Z   /opt/conda/lib/python3.7/site-packages/xmlrunner/runner.py(67): run
2023-01-11T21:30:53.2910690Z   /opt/conda/lib/python3.7/unittest/main.py(271): runTests
2023-01-11T21:30:53.2911094Z   /opt/conda/lib/python3.7/unittest/main.py(101): __init__
2023-01-11T21:30:53.2911769Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py(790): run_tests
2023-01-11T21:30:53.2912243Z   test_futures.py(340): <module>
2023-01-11T21:30:53.2912451Z 
2023-01-11T21:30:53.2912547Z ok (0.001s)
2023-01-11T21:30:53.2912916Z   test_mark_future_twice (__main__.TestFuture) ... ok (0.002s)
2023-01-11T21:30:53.2913466Z   test_pickle_future (__main__.TestFuture) ... ok (0.002s)
2023-01-11T21:30:53.2913898Z   test_set_exception (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2914370Z   test_set_exception_multithreading (__main__.TestFuture) ... ok (0.002s)
2023-01-11T21:30:53.2914832Z   test_then (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2915246Z   test_then_no_arg (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2915650Z   test_then_raise (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2916080Z   test_then_wrong_arg (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2916495Z   test_wait (__main__.TestFuture) ... ok (0.001s)
2023-01-11T21:30:53.2916877Z   test_wait_all (__main__.TestFuture) ... [1, 2]
2023-01-11T21:30:53.2917213Z ok (0.001s)
2023-01-11T21:30:53.2917579Z   test_wait_multi_thread (__main__.TestFuture) ... ok (0.502s)
2023-01-11T21:30:53.2917998Z   test_wait_none (__main__.TestFuture) ... ok (0.003s)
2023-01-11T21:30:53.2918239Z 
2023-01-11T21:30:53.2918597Z ----------------------------------------------------------------------
2023-01-11T21:30:53.2919017Z Ran 22 tests in 0.875s
2023-01-11T21:30:53.2919209Z 
2023-01-11T21:30:53.2919312Z OK
2023-01-11T21:30:53.2919449Z 
2023-01-11T21:30:53.2919592Z Generating XML reports...
2023-01-11T21:30:53.2920275Z Generated XML report: test-reports/python-unittest/test_futures/TEST-TestFuture-20230111213052.xml
2023-01-11T21:30:53.2920653Z 
2023-01-11T21:30:53.2921064Z ##[endgroup]
2023-01-11T21:30:53.2921707Z FINISHED PRINTING LOG FILE of test_futures (/var/lib/jenkins/workspace/test/test-reports/test_futures_0bu46zk8)
2023-01-11T21:30:53.2922077Z 
2023-01-11T21:30:55.0530399Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:55.1860665Z Ignoring disabled issues:  []
2023-01-11T21:30:55.2026479Z Running test_namedtensor ... [2023-01-11 21:30:55.202335]
2023-01-11T21:30:55.2028192Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:55.202582]
2023-01-11T21:30:57.7964064Z 
2023-01-11T21:30:57.7964556Z Expand the folded group to see the log file of test_namedtensor
2023-01-11T21:30:57.7965586Z ##[group]PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_72_xrdrh)
2023-01-11T21:30:57.7966499Z Test results will be stored in test-reports/python-unittest/test_namedtensor
2023-01-11T21:30:57.7966685Z 
2023-01-11T21:30:57.7966761Z Running tests...
2023-01-11T21:30:57.7967073Z ----------------------------------------------------------------------
2023-01-11T21:30:57.7967412Z   test_aaa_must_run_first_check_experimental_warning (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.7967712Z   test_addcmul_addcdiv (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.7967980Z   test_addmm (__main__.TestNamedTensor) ... ok (0.008s)
2023-01-11T21:30:57.7968235Z   test_addmv (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.7968475Z   test_align_as (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7968973Z   test_align_tensors (__main__.TestNamedTensor) ... skip: Not implemented yet (0.001s)
2023-01-11T21:30:57.7969313Z   test_align_tensors_two_inputs (__main__.TestNamedTensor) ... skip: Not implemented yet (0.003s)
2023-01-11T21:30:57.7969672Z   test_align_to (__main__.TestNamedTensor) ... ok (0.008s)
2023-01-11T21:30:57.7970103Z   test_align_to_ellipsis (__main__.TestNamedTensor) ... ok (0.010s)
2023-01-11T21:30:57.7970519Z   test_any_all (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7971957Z   test_as_strided (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7972456Z   test_as_strided_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s)
2023-01-11T21:30:57.7972996Z   test_autograd_ignores_names (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7973510Z   test_autograd_smoke (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7973944Z   test_autograd_warns_named_grad (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7974228Z   test_bernoulli (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7974502Z   test_big_tensor_repr_has_names (__main__.TestNamedTensor) ... ok (0.018s)
2023-01-11T21:30:57.7974774Z   test_binary_ops (__main__.TestNamedTensor) ... ok (0.325s)
2023-01-11T21:30:57.7975025Z   test_bitwise_not (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7975277Z   test_bmm (__main__.TestNamedTensor) ... ok (0.019s)
2023-01-11T21:30:57.7975518Z   test_cat (__main__.TestNamedTensor) ... ok (0.014s)
2023-01-11T21:30:57.7975748Z   test_cdist (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7976007Z   test_comparison_ops (__main__.TestNamedTensor) ... ok (0.005s)
2023-01-11T21:30:57.7976280Z   test_copy_transpose (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7976533Z   test_cummax_cummin (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7976789Z   test_detach (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7977062Z   test_diagonal (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7977313Z   test_dot (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7977546Z   test_equal (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7977795Z   test_expand (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7978057Z   test_factory_coverage (__main__.TestNamedTensor) ... ok (0.004s)
2023-01-11T21:30:57.7978320Z   test_factory_edge_cases (__main__.TestNamedTensor) ... ok (0.018s)
2023-01-11T21:30:57.7978586Z   test_flatten (__main__.TestNamedTensor) ... ok (0.010s)
2023-01-11T21:30:57.7978844Z   test_flatten_nodims (__main__.TestNamedTensor) ... ok (0.003s)
2023-01-11T21:30:57.7979104Z   test_has_names (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7979346Z   test_index_fill (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.7979922Z   test_info_smoke (__main__.TestNamedTensor) ... test_namedtensor.py:617: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:57.7980435Z   tensor.storage()
2023-01-11T21:30:57.7980927Z test_namedtensor.py:619: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:57.7981376Z   tensor.storage_type()
2023-01-11T21:30:57.7982145Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:959: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:57.7982793Z   if self.device.type not in ['cpu', 'cuda']:
2023-01-11T21:30:57.7983592Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:962: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:30:57.7984194Z   module = torch if self.device.type == 'cpu' else torch.cuda
2023-01-11T21:30:57.7984399Z ok (0.002s)
2023-01-11T21:30:57.7984624Z   test_logcumsumexp (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7984900Z   test_logical_not (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7985150Z   test_logical_ops (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.7985412Z   test_masked_fill (__main__.TestNamedTensor) ... ok (0.014s)
2023-01-11T21:30:57.7985675Z   test_masked_select (__main__.TestNamedTensor) ... ok (0.006s)
2023-01-11T21:30:57.7985923Z   test_matmul (__main__.TestNamedTensor) ... ok (0.020s)
2023-01-11T21:30:57.7986182Z   test_max_pooling (__main__.TestNamedTensor) ... ok (0.003s)
2023-01-11T21:30:57.7986477Z   test_max_pooling_without_names_does_not_warn (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7986759Z   test_mm (__main__.TestNamedTensor) ... ok (0.006s)
2023-01-11T21:30:57.7986985Z   test_mv (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7987250Z   test_no_jit_script_support (__main__.TestNamedTensor) ... ok (0.046s)
2023-01-11T21:30:57.7987538Z   test_no_jit_tracer_support (__main__.TestNamedTensor) ... ok (0.012s)
2023-01-11T21:30:57.7987819Z   test_no_multiprocessing_support (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7988110Z   test_no_pickle_support (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7988382Z   test_no_save_support (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7988784Z   test_noncontig_contiguous (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7989115Z   test_none_names_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.7989404Z   test_nyi_dimname_overload_msg (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.8004230Z   test_out_fn_semantics (__main__.TestNamedTensor) ... ok (0.020s)
2023-01-11T21:30:57.8004670Z   test_pow_special (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8005096Z   test_py3_ellipsis (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8005609Z   test_reduction_fns (__main__.TestNamedTensor) ... ok (0.097s)
2023-01-11T21:30:57.8006103Z   test_refine_names (__main__.TestNamedTensor) ... ok (0.008s)
2023-01-11T21:30:57.8006555Z   test_rename (__main__.TestNamedTensor) ... ok (0.007s)
2023-01-11T21:30:57.8007020Z   test_rename_ (__main__.TestNamedTensor) ... ok (0.006s)
2023-01-11T21:30:57.8007464Z   test_rename_globber (__main__.TestNamedTensor) ... ok (0.003s)
2023-01-11T21:30:57.8007946Z   test_rename_rename_map (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.8008430Z   test_repr (__main__.TestNamedTensor) ... ok (0.002s)
2023-01-11T21:30:57.8008884Z   test_resize (__main__.TestNamedTensor) ... ok (0.006s)
2023-01-11T21:30:57.8009340Z   test_select (__main__.TestNamedTensor) ... ok (0.003s)
2023-01-11T21:30:57.8009930Z   test_select_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s)
2023-01-11T21:30:57.8010400Z   test_set_names_property (__main__.TestNamedTensor) ... ok (0.004s)
2023-01-11T21:30:57.8010669Z   test_size (__main__.TestNamedTensor) ... ok (0.006s)
2023-01-11T21:30:57.8010934Z   test_split_fns_propagates_names (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8011215Z   test_squeeze (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8011470Z   test_stride (__main__.TestNamedTensor) ... ok (0.006s)
2023-01-11T21:30:57.8011723Z   test_tensor_from_lists (__main__.TestNamedTensor) ... ok (0.003s)
2023-01-11T21:30:57.8012241Z   test_tensor_from_named_tensor (__main__.TestNamedTensor) ... test_namedtensor.py:516: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:30:57.8012858Z   tensor = torch.tensor(x)
2023-01-11T21:30:57.8013275Z test_namedtensor.py:522: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:30:57.8013665Z   tensor = torch.tensor(x, names=None)
2023-01-11T21:30:57.8014091Z test_namedtensor.py:527: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:30:57.8014566Z   tensor = torch.tensor(x, names=('N', 'C'))
2023-01-11T21:30:57.8014765Z ok (0.003s)
2023-01-11T21:30:57.8014980Z   test_tensor_from_numpy (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8015484Z   test_tensor_from_tensor (__main__.TestNamedTensor) ... test_namedtensor.py:511: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T21:30:57.8015934Z   tensor = torch.tensor(x, names=names)
2023-01-11T21:30:57.8016131Z ok (0.001s)
2023-01-11T21:30:57.8016347Z   test_tensor_grad_is_unnamed (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8016637Z   test_transpose_variants (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8016909Z   test_trivial (__main__.TestNamedTensor) ... ok (0.000s)
2023-01-11T21:30:57.8017173Z   test_unary_propagate_names_fns (__main__.TestNamedTensor) ... ok (0.020s)
2023-01-11T21:30:57.8017452Z   test_unflatten (__main__.TestNamedTensor) ... ok (0.016s)
2023-01-11T21:30:57.8017726Z   test_unsupported_op_error_msg (__main__.TestNamedTensor) ... ok (0.010s)
2023-01-11T21:30:57.8018034Z   test_using_seen_interned_string_doesnt_bump_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8018391Z   test_using_unseen_interned_string_bumps_refcount_permanently (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8018733Z   test_using_unseen_uninterned_string_refcounts (__main__.TestNamedTensor) ... ok (0.001s)
2023-01-11T21:30:57.8018915Z 
2023-01-11T21:30:57.8019117Z ----------------------------------------------------------------------
2023-01-11T21:30:57.8019343Z Ran 86 tests in 0.828s
2023-01-11T21:30:57.8019457Z 
2023-01-11T21:30:57.8019527Z OK (skipped=4)
2023-01-11T21:30:57.8019632Z 
2023-01-11T21:30:57.8019717Z Generating XML reports...
2023-01-11T21:30:57.8020128Z Generated XML report: test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20230111213056.xml
2023-01-11T21:30:57.8020351Z 
2023-01-11T21:30:57.8020619Z ##[endgroup]
2023-01-11T21:30:57.8021006Z FINISHED PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_72_xrdrh)
2023-01-11T21:30:57.8021226Z 
2023-01-11T21:30:59.5673853Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:30:59.7075062Z Ignoring disabled issues:  []
2023-01-11T21:30:59.7237816Z Running test_tensorexpr_pybind ... [2023-01-11 21:30:59.723513]
2023-01-11T21:30:59.7240000Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:30:59.723771]
2023-01-11T21:31:01.9806724Z 
2023-01-11T21:31:01.9807269Z Expand the folded group to see the log file of test_tensorexpr_pybind
2023-01-11T21:31:01.9808333Z ##[group]PRINTING LOG FILE of test_tensorexpr_pybind (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_pybind_zgze2l_1)
2023-01-11T21:31:01.9809273Z Test results will be stored in test-reports/python-unittest/test_tensorexpr_pybind
2023-01-11T21:31:01.9809614Z 
2023-01-11T21:31:01.9810286Z Running tests...
2023-01-11T21:31:01.9810828Z ----------------------------------------------------------------------
2023-01-11T21:31:01.9811346Z   test_unary_ops (__main__.TestExprHandlePyBind) ... ok (0.253s)
2023-01-11T21:31:01.9811944Z   test_alloc_in_loop (__main__.TestTensorExprPyBind) ... ok (0.025s)
2023-01-11T21:31:01.9812428Z   test_call_raw (__main__.TestTensorExprPyBind) ... ok (0.002s)
2023-01-11T21:31:01.9812903Z   test_dtype_error (__main__.TestTensorExprPyBind) ... ok (0.003s)
2023-01-11T21:31:01.9813384Z   test_dynamic_shape (__main__.TestTensorExprPyBind) ... ok (0.002s)
2023-01-11T21:31:01.9813879Z   test_dynamic_shape_2d (__main__.TestTensorExprPyBind) ... ok (0.002s)
2023-01-11T21:31:01.9814396Z   test_external_calls (__main__.TestTensorExprPyBind) ... ok (0.001s)
2023-01-11T21:31:01.9814918Z   test_kernel_shape_prop (__main__.TestTensorExprPyBind) ... ok (0.162s)
2023-01-11T21:31:01.9815447Z   test_kernel_shape_prop_module (__main__.TestTensorExprPyBind) ... ok (0.039s)
2023-01-11T21:31:01.9816019Z   test_kernel_with_custom_lowering (__main__.TestTensorExprPyBind) ... ok (0.026s)
2023-01-11T21:31:01.9816559Z   test_kernel_with_expand (__main__.TestTensorExprPyBind) ... ok (0.026s)
2023-01-11T21:31:01.9817092Z   test_kernel_with_permute (__main__.TestTensorExprPyBind) ... ok (0.059s)
2023-01-11T21:31:01.9817616Z   test_kernel_with_scalar_inputs (__main__.TestTensorExprPyBind) ... ok (0.022s)
2023-01-11T21:31:01.9818143Z   test_kernel_with_t (__main__.TestTensorExprPyBind) ... ok (0.029s)
2023-01-11T21:31:01.9818672Z   test_kernel_with_tensor_inputs (__main__.TestTensorExprPyBind) ... ok (0.026s)
2023-01-11T21:31:01.9819171Z   test_kernel_with_transpose (__main__.TestTensorExprPyBind) ... ok (0.029s)
2023-01-11T21:31:01.9819692Z   test_simple_sum (__main__.TestTensorExprPyBind) ... ok (0.001s)
2023-01-11T21:31:01.9819971Z 
2023-01-11T21:31:01.9820345Z ----------------------------------------------------------------------
2023-01-11T21:31:01.9820767Z Ran 17 tests in 0.708s
2023-01-11T21:31:01.9820963Z 
2023-01-11T21:31:01.9821046Z OK
2023-01-11T21:31:01.9821202Z 
2023-01-11T21:31:01.9821347Z Generating XML reports...
2023-01-11T21:31:01.9822145Z Generated XML report: test-reports/python-unittest/test_tensorexpr_pybind/TEST-TestExprHandlePyBind-20230111213100.xml
2023-01-11T21:31:01.9823116Z Generated XML report: test-reports/python-unittest/test_tensorexpr_pybind/TEST-TestTensorExprPyBind-20230111213100.xml
2023-01-11T21:31:01.9823554Z 
2023-01-11T21:31:01.9823956Z ##[endgroup]
2023-01-11T21:31:01.9824635Z FINISHED PRINTING LOG FILE of test_tensorexpr_pybind (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_pybind_zgze2l_1)
2023-01-11T21:31:01.9825021Z 
2023-01-11T21:31:03.7515180Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:03.8859975Z Ignoring disabled issues:  []
2023-01-11T21:31:03.9021819Z Running test_fx_passes ... [2023-01-11 21:31:03.901901]
2023-01-11T21:31:03.9023543Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_passes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:03.902148]
2023-01-11T21:31:06.0206045Z 
2023-01-11T21:31:06.0206629Z Expand the folded group to see the log file of test_fx_passes
2023-01-11T21:31:06.0207696Z ##[group]PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes_1moka37h)
2023-01-11T21:31:06.0208414Z Test results will be stored in test-reports/python-unittest/test_fx_passes
2023-01-11T21:31:06.0208596Z 
2023-01-11T21:31:06.0208670Z Running tests...
2023-01-11T21:31:06.0208980Z ----------------------------------------------------------------------
2023-01-11T21:31:06.0209277Z   test_fuser_pass_deep_model (__main__.TestFXGraphPasses) ... ok (0.299s)
2023-01-11T21:31:06.0209695Z   test_fuser_util_partition_[['add', 'add_1', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.023s)
2023-01-11T21:31:06.0210136Z   test_fuser_util_partition_[['add', 'add_1'], ['add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0210845Z   test_fuser_util_partition_[['add', 'linear', 'add_1', 'param', 'add_2', 'add_3', 'add_4', 'linear2', 'add_5', 'add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0211352Z   test_fuser_util_partition_[['add_2', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0211752Z   test_fuser_util_partition_[['add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0212172Z   test_fuser_util_partition_[['add_4', 'add_1', 'add_3', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0212629Z   test_fuser_util_partition_[['add_5', 'add_6'], ['add_1', 'add_2', 'add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0213038Z   test_fuser_util_partition_[['add_5', 'linear2']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0213435Z   test_fuser_util_partition_[['add_6', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0213828Z   test_fuser_util_partition_[['add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0214248Z   test_fuser_util_partition_[['param', 'add_1', 'linear']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0214645Z   test_fuser_util_partition_[['param', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0215062Z   test_fuser_util_xfail_partition_[['add', 'add_1', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2023-01-11T21:31:06.0215513Z   test_fuser_util_xfail_partition_[['add', 'add_1'], ['add_1', 'add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.004s)
2023-01-11T21:31:06.0215925Z   test_fuser_util_xfail_partition_[['add_4', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2023-01-11T21:31:06.0216341Z   test_fuser_util_xfail_partition_[['relu', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2023-01-11T21:31:06.0216994Z   test_partitioner_fn_<function TestPartitionFunctions_forward1 at 0x7f54665d6290>_expected_partition_[['add_7', 'add_6'], ['add_5', 'add_4', 'add_3'], ['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s)
2023-01-11T21:31:06.0217738Z   test_partitioner_fn_<function TestPartitionFunctions_forward10 at 0x7f5466597c20>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.013s)
2023-01-11T21:31:06.0218417Z   test_partitioner_fn_<function TestPartitionFunctions_forward11 at 0x7f5466597cb0>_expected_partition_[['add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0219116Z   test_partitioner_fn_<function TestPartitionFunctions_forward12 at 0x7f5466597d40>_expected_partition_[['add_2'], ['add_3', 'add_4', 'add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.007s)
2023-01-11T21:31:06.0219804Z   test_partitioner_fn_<function TestPartitionFunctions_forward13 at 0x7f5466597dd0>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0220514Z   test_partitioner_fn_<function TestPartitionFunctions_forward14 at 0x7f5466597e60>_expected_partition_[['add', 'std_mean', 'getitem', 'getitem_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0221285Z   test_partitioner_fn_<function TestPartitionFunctions_forward15 at 0x7f5466597ef0>_expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0222062Z   test_partitioner_fn_<function TestPartitionFunctions_forward15 at 0x7f5466597ef0>_expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0222844Z   test_partitioner_fn_<function TestPartitionFunctions_forward16 at 0x7f5466597f80>_expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0223645Z   test_partitioner_fn_<function TestPartitionFunctions_forward16 at 0x7f5466597f80>_expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0224343Z   test_partitioner_fn_<function TestPartitionFunctions_forward2 at 0x7f54665d74d0>_expected_partition_[['add_3', 'add_2'], ['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0225019Z   test_partitioner_fn_<function TestPartitionFunctions_forward3 at 0x7f54665d70e0>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0225693Z   test_partitioner_fn_<function TestPartitionFunctions_forward4 at 0x7f54665978c0>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0226361Z   test_partitioner_fn_<function TestPartitionFunctions_forward5 at 0x7f5466597950>_expected_partition_[['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0227010Z   test_partitioner_fn_<function TestPartitionFunctions_forward6 at 0x7f54665979e0>_expected_partition_[['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0227683Z   test_partitioner_fn_<function TestPartitionFunctions_forward7 at 0x7f5466597a70>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0228361Z   test_partitioner_fn_<function TestPartitionFunctions_forward8 at 0x7f5466597b00>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2023-01-11T21:31:06.0229049Z   test_partitioner_fn_<function TestPartitionFunctions_forward9 at 0x7f5466597b90>_expected_partition_[['add_3', 'add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2023-01-11T21:31:06.0229608Z   test_subgraph_matcher_test_model_<class '__main___ChainRepeatedPattern'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0230120Z   test_subgraph_matcher_test_model_<class '__main___DiamondShapePatternTestCase'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0230638Z   test_subgraph_matcher_test_model_<class '__main___MultiOutputWithWithInvalidMatches'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0231183Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsHorizontalPattern'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0231715Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsIdenticalAnchor'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0232291Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsMultipleNonOverlappingMatches'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0232878Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsMultipleOverlappingMatches'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0233499Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsWithDependency'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0234035Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsWithoutDependency'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0234530Z   test_subgraph_matcher_test_model_<class '__main___NoAnchorFound'> (__main__.TestFXMatcherUtils) ... ok (0.003s)
2023-01-11T21:31:06.0235003Z   test_subgraph_matcher_test_model_<class '__main___NonFullyContainedMatches'> (__main__.TestFXMatcherUtils) ... ok (0.005s)
2023-01-11T21:31:06.0235495Z   test_subgraph_matcher_test_model_<class '__main___QuantizationFp8Pattern'> (__main__.TestFXMatcherUtils) ... ok (0.005s)
2023-01-11T21:31:06.0236016Z   test_subgraph_matcher_test_model_<class '__main___QuantizationModel'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0236536Z   test_subgraph_matcher_test_model_<class '__main___SimpleFullGraphMatching'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0236999Z   test_subgraph_matcher_test_model_<class '__main___SimplePattern'> (__main__.TestFXMatcherUtils) ... ok (0.005s)
2023-01-11T21:31:06.0237460Z   test_subgraph_matcher_test_model_<class '__main___SingleNodePattern'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2023-01-11T21:31:06.0237666Z 
2023-01-11T21:31:06.0237866Z ----------------------------------------------------------------------
2023-01-11T21:31:06.0238104Z Ran 51 tests in 0.575s
2023-01-11T21:31:06.0238216Z 
2023-01-11T21:31:06.0238265Z OK
2023-01-11T21:31:06.0238354Z 
2023-01-11T21:31:06.0238436Z Generating XML reports...
2023-01-11T21:31:06.0238848Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXGraphPasses-20230111213105.xml
2023-01-11T21:31:06.0239360Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXMatcherUtils-20230111213105.xml
2023-01-11T21:31:06.0239588Z 
2023-01-11T21:31:06.0239846Z ##[endgroup]
2023-01-11T21:31:06.0240223Z FINISHED PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes_1moka37h)
2023-01-11T21:31:06.0244950Z 
2023-01-11T21:31:07.8572056Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:07.9899259Z Ignoring disabled issues:  []
2023-01-11T21:31:08.0061804Z Running test_monitor ... [2023-01-11 21:31:08.005904]
2023-01-11T21:31:08.0064443Z Executing ['/opt/conda/bin/python', '-bb', 'test_monitor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:08.006151]
2023-01-11T21:31:10.0118468Z 
2023-01-11T21:31:10.0119006Z Expand the folded group to see the log file of test_monitor
2023-01-11T21:31:10.0119934Z ##[group]PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_jvnh0msw)
2023-01-11T21:31:10.0120509Z Test results will be stored in test-reports/python-unittest/test_monitor
2023-01-11T21:31:10.0120689Z 
2023-01-11T21:31:10.0120767Z Running tests...
2023-01-11T21:31:10.0121122Z ----------------------------------------------------------------------
2023-01-11T21:31:10.0121409Z   test_event_handler (__main__.TestMonitor) ... ok (0.250s)
2023-01-11T21:31:10.0121704Z   test_fixed_count_stat (__main__.TestMonitor) ... ok (0.001s)
2023-01-11T21:31:10.0121963Z   test_interval_stat (__main__.TestMonitor) ... ok (0.002s)
2023-01-11T21:31:10.0122208Z   test_log_event (__main__.TestMonitor) ... ok (0.001s)
2023-01-11T21:31:10.0122514Z   test_event_handler (__main__.TestMonitorTensorboard) ... ok (0.211s)
2023-01-11T21:31:10.0122685Z 
2023-01-11T21:31:10.0122883Z ----------------------------------------------------------------------
2023-01-11T21:31:10.0123145Z Ran 5 tests in 0.465s
2023-01-11T21:31:10.0123270Z 
2023-01-11T21:31:10.0123329Z OK
2023-01-11T21:31:10.0123552Z 
2023-01-11T21:31:10.0123639Z Generating XML reports...
2023-01-11T21:31:10.0124044Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitor-20230111213109.xml
2023-01-11T21:31:10.0124610Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitorTensorboard-20230111213109.xml
2023-01-11T21:31:10.0124851Z 
2023-01-11T21:31:10.0125116Z ##[endgroup]
2023-01-11T21:31:10.0125489Z FINISHED PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_jvnh0msw)
2023-01-11T21:31:10.0125714Z 
2023-01-11T21:31:11.7806254Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:11.9192575Z Ignoring disabled issues:  []
2023-01-11T21:31:11.9356406Z Running nn/test_lazy_modules ... [2023-01-11 21:31:11.935358]
2023-01-11T21:31:11.9358792Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_lazy_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:11.935656]
2023-01-11T21:31:14.1522459Z 
2023-01-11T21:31:14.1523070Z Expand the folded group to see the log file of nn/test_lazy_modules
2023-01-11T21:31:14.1524463Z ##[group]PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_juwxin9g)
2023-01-11T21:31:14.1525361Z Test results will be stored in test-reports/python-unittest/nn.test_lazy_modules
2023-01-11T21:31:14.1525688Z 
2023-01-11T21:31:14.1525865Z Running tests...
2023-01-11T21:31:14.1526391Z ----------------------------------------------------------------------
2023-01-11T21:31:14.1526864Z   test_chained_initialization (__main__.TestLazyModules) ... ok (0.024s)
2023-01-11T21:31:14.1527365Z   test_invalid_functions (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1528637Z   test_lazy_batchnorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2023-01-11T21:31:14.1529698Z   warnings.warn('Lazy modules are a new feature under heavy development '
2023-01-11T21:31:14.1530124Z ok (0.012s)
2023-01-11T21:31:14.1530571Z   test_lazy_batchnorm1d_pickle (__main__.TestLazyModules) ... ok (0.009s)
2023-01-11T21:31:14.1531118Z   test_lazy_batchnorm1d_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1531656Z   test_lazy_batchnorm2d (__main__.TestLazyModules) ... ok (0.006s)
2023-01-11T21:31:14.1532203Z   test_lazy_batchnorm2d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2023-01-11T21:31:14.1532761Z   test_lazy_batchnorm2d_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1533298Z   test_lazy_batchnorm3d (__main__.TestLazyModules) ... ok (0.007s)
2023-01-11T21:31:14.1533821Z   test_lazy_batchnorm3d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2023-01-11T21:31:14.1534380Z   test_lazy_batchnorm3d_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1534912Z   test_lazy_conv1d (__main__.TestLazyModules) ... ok (0.006s)
2023-01-11T21:31:14.1535418Z   test_lazy_conv1d_pickle (__main__.TestLazyModules) ... ok (0.003s)
2023-01-11T21:31:14.1535947Z   test_lazy_conv1d_state (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1536463Z   test_lazy_conv2d (__main__.TestLazyModules) ... ok (0.004s)
2023-01-11T21:31:14.1536978Z   test_lazy_conv2d_pickle (__main__.TestLazyModules) ... ok (0.003s)
2023-01-11T21:31:14.1537492Z   test_lazy_conv2d_state (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1538003Z   test_lazy_conv3d (__main__.TestLazyModules) ... ok (0.030s)
2023-01-11T21:31:14.1538516Z   test_lazy_conv3d_pickle (__main__.TestLazyModules) ... ok (0.013s)
2023-01-11T21:31:14.1539029Z   test_lazy_conv3d_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1539579Z   test_lazy_conv_transpose1d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2023-01-11T21:31:14.1540168Z   test_lazy_conv_transpose1d_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1540719Z   test_lazy_conv_transpose2d (__main__.TestLazyModules) ... ok (0.014s)
2023-01-11T21:31:14.1541292Z   test_lazy_conv_transpose2d_pickle (__main__.TestLazyModules) ... ok (0.006s)
2023-01-11T21:31:14.1541872Z   test_lazy_conv_transpose2d_state (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1542434Z   test_lazy_conv_transpose3d (__main__.TestLazyModules) ... ok (0.175s)
2023-01-11T21:31:14.1542987Z   test_lazy_conv_transpose3d_pickle (__main__.TestLazyModules) ... ok (0.059s)
2023-01-11T21:31:14.1543556Z   test_lazy_conv_transpose3d_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1544123Z   test_lazy_conv_transposed1d (__main__.TestLazyModules) ... ok (0.009s)
2023-01-11T21:31:14.1544619Z   test_lazy_forward_hook (__main__.TestLazyModules)
2023-01-11T21:31:14.1545999Z This test is to test whether lazymodule can register other forward hook ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2023-01-11T21:31:14.1547340Z   warnings.warn('Lazy modules are a new feature under heavy development '
2023-01-11T21:31:14.1547789Z ok (0.002s)
2023-01-11T21:31:14.1548210Z   test_lazy_instancenorm1d (__main__.TestLazyModules) ... ok (0.006s)
2023-01-11T21:31:14.1548776Z   test_lazy_instancenorm1d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2023-01-11T21:31:14.1549356Z   test_lazy_instancenorm1d_state (__main__.TestLazyModules) ... ok (0.004s)
2023-01-11T21:31:14.1549895Z   test_lazy_instancenorm2d (__main__.TestLazyModules) ... ok (0.006s)
2023-01-11T21:31:14.1550454Z   test_lazy_instancenorm2d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2023-01-11T21:31:14.1551023Z   test_lazy_instancenorm2d_state (__main__.TestLazyModules) ... ok (0.004s)
2023-01-11T21:31:14.1551569Z   test_lazy_instancenorm3d (__main__.TestLazyModules) ... ok (0.007s)
2023-01-11T21:31:14.1552124Z   test_lazy_instancenorm3d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2023-01-11T21:31:14.1552696Z   test_lazy_instancenorm3d_state (__main__.TestLazyModules) ... ok (0.004s)
2023-01-11T21:31:14.1553249Z   test_lazy_linear_pickle (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1553866Z   test_lazy_module_buffer (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1554415Z   test_lazy_module_jit_buffer (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1554960Z   test_lazy_module_jit_param (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1555503Z   test_lazy_module_parameter (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1556009Z   test_lazy_pre_forward_hook (__main__.TestLazyModules)
2023-01-11T21:31:14.1557369Z This test is to test whether lazymodule can register other pre-forward hook ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2023-01-11T21:31:14.1558466Z   warnings.warn('Lazy modules are a new feature under heavy development '
2023-01-11T21:31:14.1558912Z ok (0.001s)
2023-01-11T21:31:14.1559349Z   test_lazy_share_memory_buffer (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1559906Z   test_lazy_share_memory_param (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1560414Z   test_linear (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1560888Z   test_linear_state (__main__.TestLazyModules) ... ok (0.002s)
2023-01-11T21:31:14.1561467Z   test_materialize_device (__main__.TestLazyModules) ... skip: CUDA not available (0.001s)
2023-01-11T21:31:14.1562060Z   test_materialize_dtype (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1562571Z   test_optimizer_pass (__main__.TestLazyModules) ... ok (0.005s)
2023-01-11T21:31:14.1563089Z   test_spectral_norm (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1563790Z   test_weight_norm (__main__.TestLazyModules) ... ok (0.001s)
2023-01-11T21:31:14.1564087Z 
2023-01-11T21:31:14.1564489Z ----------------------------------------------------------------------
2023-01-11T21:31:14.1564923Z Ran 54 tests in 0.481s
2023-01-11T21:31:14.1565132Z 
2023-01-11T21:31:14.1565268Z OK (skipped=1)
2023-01-11T21:31:14.1565463Z 
2023-01-11T21:31:14.1565619Z Generating XML reports...
2023-01-11T21:31:14.1566400Z Generated XML report: test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20230111213113.xml
2023-01-11T21:31:14.1566842Z 
2023-01-11T21:31:14.1567314Z ##[endgroup]
2023-01-11T21:31:14.1568089Z FINISHED PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_juwxin9g)
2023-01-11T21:31:14.1568532Z 
2023-01-11T21:31:16.0028091Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:16.1412437Z Ignoring disabled issues:  []
2023-01-11T21:31:16.1587639Z Running nn/test_packed_sequence ... [2023-01-11 21:31:16.158458]
2023-01-11T21:31:16.1589369Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_packed_sequence.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:16.158717]
2023-01-11T21:31:18.1037497Z 
2023-01-11T21:31:18.1038049Z Expand the folded group to see the log file of nn/test_packed_sequence
2023-01-11T21:31:18.1040964Z ##[group]PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_og88bi67)
2023-01-11T21:31:18.1041903Z Test results will be stored in test-reports/python-unittest/nn.test_packed_sequence
2023-01-11T21:31:18.1042229Z 
2023-01-11T21:31:18.1042351Z Running tests...
2023-01-11T21:31:18.1042869Z ----------------------------------------------------------------------
2023-01-11T21:31:18.1043553Z   test_pack_padded_sequence (__main__.PackedSequenceTest) ... ok (0.289s)
2023-01-11T21:31:18.1044062Z   test_pack_sequence (__main__.PackedSequenceTest) ... ok (0.089s)
2023-01-11T21:31:18.1044529Z   test_pad_sequence (__main__.PackedSequenceTest) ... ok (0.017s)
2023-01-11T21:31:18.1045052Z   test_pad_sequence_with_non_iterable_sequences (__main__.PackedSequenceTest) ... ok (0.001s)
2023-01-11T21:31:18.1045632Z   test_pad_sequence_with_tensor_sequences (__main__.PackedSequenceTest) ... ok (0.001s)
2023-01-11T21:31:18.1046120Z   test_to (__main__.PackedSequenceTest) ... ok (0.002s)
2023-01-11T21:31:18.1046579Z   test_to_memory_format (__main__.PackedSequenceTest) ... ok (0.001s)
2023-01-11T21:31:18.1047058Z   test_total_length (__main__.PackedSequenceTest) ... ok (0.003s)
2023-01-11T21:31:18.1047490Z   test_type_casts (__main__.PackedSequenceTest)
2023-01-11T21:31:18.1047974Z Test type casting of `PackedSequence` against type casting of tensor ... ok (0.024s)
2023-01-11T21:31:18.1048509Z   test_unpack_sequence (__main__.PackedSequenceTest) ... ok (0.011s)
2023-01-11T21:31:18.1048990Z   test_unpad_sequence (__main__.PackedSequenceTest) ... ok (0.010s)
2023-01-11T21:31:18.1049467Z   test_wrong_order (__main__.PackedSequenceTest) ... ok (0.004s)
2023-01-11T21:31:18.1049733Z 
2023-01-11T21:31:18.1050141Z ----------------------------------------------------------------------
2023-01-11T21:31:18.1050546Z Ran 12 tests in 0.454s
2023-01-11T21:31:18.1050745Z 
2023-01-11T21:31:18.1050846Z OK
2023-01-11T21:31:18.1050979Z 
2023-01-11T21:31:18.1051123Z Generating XML reports...
2023-01-11T21:31:18.1051892Z Generated XML report: test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20230111213117.xml
2023-01-11T21:31:18.1052323Z 
2023-01-11T21:31:18.1052759Z ##[endgroup]
2023-01-11T21:31:18.1053470Z FINISHED PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_og88bi67)
2023-01-11T21:31:18.1053866Z 
2023-01-11T21:31:19.8734078Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:20.0147713Z Ignoring disabled issues:  []
2023-01-11T21:31:20.0312789Z Running dynamo/test_global ... [2023-01-11 21:31:20.031009]
2023-01-11T21:31:20.0314792Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:20.031249]
2023-01-11T21:31:22.0750704Z 
2023-01-11T21:31:22.0751250Z Expand the folded group to see the log file of dynamo/test_global
2023-01-11T21:31:22.0752187Z ##[group]PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_wujr_m0o)
2023-01-11T21:31:22.0753172Z Test results will be stored in test-reports/python-unittest/dynamo.test_global
2023-01-11T21:31:22.0753429Z 
2023-01-11T21:31:22.0753506Z Running tests...
2023-01-11T21:31:22.0753805Z ----------------------------------------------------------------------
2023-01-11T21:31:22.0754095Z   test_store_global_1 (__main__.TestGlobals) ... ok (0.356s)
2023-01-11T21:31:22.0754448Z   test_store_global_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0754806Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0755285Z frames [('total', 2), ('ok', 2)]
2023-01-11T21:31:22.0755594Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2023-01-11T21:31:22.0755883Z ok (0.010s)
2023-01-11T21:31:22.0756184Z   test_store_global_cross_file (__main__.TestGlobals) ... frames [('total', 2), ('ok', 2)]
2023-01-11T21:31:22.0756430Z unimplemented []
2023-01-11T21:31:22.0756841Z graph_break [('call_function BuiltinVariable(setattr) [PythonModuleVariable(), ConstantVariable(str), TensorVariable()] {}', 1)]
2023-01-11T21:31:22.0757270Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:31:22.0757484Z ok (0.008s)
2023-01-11T21:31:22.0757785Z   test_store_global_dict (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0758146Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0758358Z ok (0.005s)
2023-01-11T21:31:22.0758665Z   test_store_global_dict_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0758896Z inline_call []
2023-01-11T21:31:22.0759175Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0759401Z ok (0.007s)
2023-01-11T21:31:22.0759704Z   test_store_global_inline_1 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0759924Z inline_call []
2023-01-11T21:31:22.0760214Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0760432Z ok (0.010s)
2023-01-11T21:31:22.0760722Z   test_store_global_inline_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0760975Z inline_call []
2023-01-11T21:31:22.0761265Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0761487Z ok (0.011s)
2023-01-11T21:31:22.0761771Z   test_store_global_list (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0762126Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0762346Z ok (0.005s)
2023-01-11T21:31:22.0762632Z   test_store_global_list_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0762863Z inline_call []
2023-01-11T21:31:22.0763155Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0763527Z ok (0.007s)
2023-01-11T21:31:22.0763846Z   test_store_global_new (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0764196Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2023-01-11T21:31:22.0764405Z ok (0.005s)
2023-01-11T21:31:22.0764706Z   test_store_global_object (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2023-01-11T21:31:22.0765060Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2023-01-11T21:31:22.0765282Z ok (0.005s)
2023-01-11T21:31:22.0765369Z 
2023-01-11T21:31:22.0765571Z ----------------------------------------------------------------------
2023-01-11T21:31:22.0765808Z Ran 11 tests in 0.432s
2023-01-11T21:31:22.0765920Z 
2023-01-11T21:31:22.0765979Z OK
2023-01-11T21:31:22.0766067Z 
2023-01-11T21:31:22.0766140Z Generating XML reports...
2023-01-11T21:31:22.0766543Z Generated XML report: test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20230111213121.xml
2023-01-11T21:31:22.0766767Z 
2023-01-11T21:31:22.0767025Z ##[endgroup]
2023-01-11T21:31:22.0767400Z FINISHED PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_wujr_m0o)
2023-01-11T21:31:22.0767621Z 
2023-01-11T21:31:23.9241683Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:24.0644761Z Ignoring disabled issues:  []
2023-01-11T21:31:24.0808025Z Running nn/test_parametrization ... [2023-01-11 21:31:24.080507]
2023-01-11T21:31:24.0809677Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_parametrization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:24.080758]
2023-01-11T21:31:26.2049665Z 
2023-01-11T21:31:26.2050198Z Expand the folded group to see the log file of nn/test_parametrization
2023-01-11T21:31:26.2051626Z ##[group]PRINTING LOG FILE of nn/test_parametrization (/var/lib/jenkins/workspace/test/test-reports/nn-test_parametrization_kiryyq12)
2023-01-11T21:31:26.2052662Z Test results will be stored in test-reports/python-unittest/nn.test_parametrization
2023-01-11T21:31:26.2052998Z 
2023-01-11T21:31:26.2053127Z Running tests...
2023-01-11T21:31:26.2053678Z ----------------------------------------------------------------------
2023-01-11T21:31:26.2054237Z   test_caching_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2054750Z Test the caching system of a parametrization ... ok (0.011s)
2023-01-11T21:31:26.2055349Z   test_caching_parametrization_with_transfer_parametrizations_and_params (__main__.TestNNParametrization)
2023-01-11T21:31:26.2056159Z Test that transferring parametrizations doesn't cause issues with caching ... ok (0.003s)
2023-01-11T21:31:26.2056786Z   test_deepcopy_after_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2057537Z Test that we are able to create a deepcopy of the module when it's parametrized. ... ok (0.008s)
2023-01-11T21:31:26.2058197Z   test_errors_parametrized_tensor_parametrization (__main__.TestNNParametrization) ... ok (0.004s)
2023-01-11T21:31:26.2058860Z   test_errors_unparametrized_tensor_parametrization (__main__.TestNNParametrization) ... ok (0.006s)
2023-01-11T21:31:26.2059346Z   test_initialization_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2059858Z Test that it is possible to initialize a parametrization when it ... ok (0.006s)
2023-01-11T21:31:26.2060382Z   test_multiple_inputs_parametrization (__main__.TestNNParametrization) ... ok (0.008s)
2023-01-11T21:31:26.2060707Z   test_new_spectral_norm (__main__.TestNNParametrization) ... ok (0.040s)
2023-01-11T21:31:26.2061003Z   test_new_spectral_norm_dim (__main__.TestNNParametrization) ... ok (0.003s)
2023-01-11T21:31:26.2061313Z   test_new_spectral_norm_forward (__main__.TestNNParametrization) ... ok (0.003s)
2023-01-11T21:31:26.2061640Z   test_new_spectral_norm_load_state_dict (__main__.TestNNParametrization) ... ok (0.016s)
2023-01-11T21:31:26.2061943Z   test_orthogonal_errors (__main__.TestNNParametrization) ... ok (0.002s)
2023-01-11T21:31:26.2062260Z   test_orthogonal_parametrization (__main__.TestNNParametrization) ... ok (0.189s)
2023-01-11T21:31:26.2062579Z   test_parametrization_same_training_mode (__main__.TestNNParametrization)
2023-01-11T21:31:26.2062893Z Test training mode updated on parametrization registration ... ok (0.001s)
2023-01-11T21:31:26.2063200Z   test_register_and_remove_buffer_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2063531Z Test that it is possible to add and remove parametrizations on buffers ... ok (0.003s)
2023-01-11T21:31:26.2063861Z   test_register_and_remove_nested_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2064167Z Test that it is possible to nest the parametrizations ... ok (0.003s)
2023-01-11T21:31:26.2064471Z   test_register_and_remove_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2064781Z Test that it is possible to add a few parametrizations ... ok (0.021s)
2023-01-11T21:31:26.2065084Z   test_serialization_parametrization (__main__.TestNNParametrization)
2023-01-11T21:31:26.2065391Z Test that it is possible to serialize a parametrized model via state_dict ... ok (0.006s)
2023-01-11T21:31:26.2065713Z   test_transfer_parametrizations_and_params (__main__.TestNNParametrization)
2023-01-11T21:31:26.2066053Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.004s)
2023-01-11T21:31:26.2066407Z   test_transfer_parametrizations_and_params_many_to_one (__main__.TestNNParametrization) ... ok (0.005s)
2023-01-11T21:31:26.2066771Z   test_transfer_parametrizations_and_params_right_inverse (__main__.TestNNParametrization)
2023-01-11T21:31:26.2067260Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.002s)
2023-01-11T21:31:26.2067613Z   test_transfer_parametrizations_and_params_single_param (__main__.TestNNParametrization)
2023-01-11T21:31:26.2068011Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.003s)
2023-01-11T21:31:26.2068338Z   test_type_before_parametrizations (__main__.TestNNParametrization)
2023-01-11T21:31:26.2068657Z Test that type_before_parametrizations always retrieves original type ... ok (0.001s)
2023-01-11T21:31:26.2068838Z 
2023-01-11T21:31:26.2069067Z ----------------------------------------------------------------------
2023-01-11T21:31:26.2069298Z Ran 23 tests in 0.349s
2023-01-11T21:31:26.2069409Z 
2023-01-11T21:31:26.2069469Z OK
2023-01-11T21:31:26.2069558Z 
2023-01-11T21:31:26.2069641Z Generating XML reports...
2023-01-11T21:31:26.2070075Z Generated XML report: test-reports/python-unittest/nn.test_parametrization/TEST-TestNNParametrization-20230111213125.xml
2023-01-11T21:31:26.2070330Z 
2023-01-11T21:31:26.2070600Z ##[endgroup]
2023-01-11T21:31:26.2071014Z FINISHED PRINTING LOG FILE of nn/test_parametrization (/var/lib/jenkins/workspace/test/test-reports/nn-test_parametrization_kiryyq12)
2023-01-11T21:31:26.2071249Z 
2023-01-11T21:31:28.0143714Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:28.1554151Z Ignoring disabled issues:  []
2023-01-11T21:31:28.1720200Z Running test_native_functions ... [2023-01-11 21:31:28.171699]
2023-01-11T21:31:28.1721959Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:28.171961]
2023-01-11T21:31:30.0834283Z 
2023-01-11T21:31:30.0837002Z Expand the folded group to see the log file of test_native_functions
2023-01-11T21:31:30.0838054Z ##[group]PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_uegvt4oc)
2023-01-11T21:31:30.0839004Z Test results will be stored in test-reports/python-unittest/test_native_functions
2023-01-11T21:31:30.0839471Z 
2023-01-11T21:31:30.0839607Z Running tests...
2023-01-11T21:31:30.0840178Z ----------------------------------------------------------------------
2023-01-11T21:31:30.0840780Z   test_intlist_error_with_overload (__main__.TestNativeFunctions) ... ok (0.260s)
2023-01-11T21:31:30.0841772Z   test_optional_filled_intlist (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0842613Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0843580Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0844391Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0845147Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0845900Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0846597Z pad(): argument 'pad' (position 2) must be tuple of ints, not str
2023-01-11T21:31:30.0847012Z ok (0.049s)
2023-01-11T21:31:30.0847446Z   test_optional_floatlist (__main__.TestNativeFunctions) ... ok (0.010s)
2023-01-11T21:31:30.0848038Z   test_optional_floatlist_invalid (__main__.TestNativeFunctions) ... ok (0.010s)
2023-01-11T21:31:30.0848626Z   test_optional_intlist (__main__.TestNativeFunctions) ... ok (0.008s)
2023-01-11T21:31:30.0849189Z   test_optional_intlist_invalid (__main__.TestNativeFunctions) ... ok (0.009s)
2023-01-11T21:31:30.0849763Z   test_string_defaults (__main__.TestNativeFunctions) ... ok (0.006s)
2023-01-11T21:31:30.0850718Z   test_symintlist_error (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0851863Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0852623Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0853505Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0854271Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0855040Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0855718Z pad(): argument 'pad' (position 2) must be tuple of ints, not str
2023-01-11T21:31:30.0856134Z ok (0.012s)
2023-01-11T21:31:30.0856990Z   test_symintlist_error_with_overload (__main__.TestNativeFunctions) ... view() received an invalid combination of arguments - got (tuple), but expected one of:
2023-01-11T21:31:30.0857595Z  * (torch.dtype dtype)
2023-01-11T21:31:30.0858229Z       didn't match because some of the arguments have invalid types: (!tuple of (str,)!)
2023-01-11T21:31:30.0858718Z  * (tuple of ints size)
2023-01-11T21:31:30.0859325Z       didn't match because some of the arguments have invalid types: (!tuple of (str,)!)
2023-01-11T21:31:30.0859666Z 
2023-01-11T21:31:30.0860075Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0860843Z view() received an invalid combination of arguments - got (tuple), but expected one of:
2023-01-11T21:31:30.0861333Z  * (torch.dtype dtype)
2023-01-11T21:31:30.0861955Z       didn't match because some of the arguments have invalid types: (!tuple of (str, int)!)
2023-01-11T21:31:30.0862436Z  * (tuple of ints size)
2023-01-11T21:31:30.0863058Z       didn't match because some of the arguments have invalid types: (!tuple of (str, int)!)
2023-01-11T21:31:30.0863404Z 
2023-01-11T21:31:30.0863829Z view() received an invalid combination of arguments - got (list), but expected one of:
2023-01-11T21:31:30.0864304Z  * (torch.dtype dtype)
2023-01-11T21:31:30.0864918Z       didn't match because some of the arguments have invalid types: (!list of [str]!)
2023-01-11T21:31:30.0865381Z  * (tuple of ints size)
2023-01-11T21:31:30.0865974Z       didn't match because some of the arguments have invalid types: (!list of [str]!)
2023-01-11T21:31:30.0866306Z 
2023-01-11T21:31:30.0866710Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0867439Z view() received an invalid combination of arguments - got (list), but expected one of:
2023-01-11T21:31:30.0867907Z  * (torch.dtype dtype)
2023-01-11T21:31:30.0868545Z       didn't match because some of the arguments have invalid types: (!list of [str, int]!)
2023-01-11T21:31:30.0869020Z  * (tuple of ints size)
2023-01-11T21:31:30.0869649Z       didn't match because some of the arguments have invalid types: (!list of [str, int]!)
2023-01-11T21:31:30.0869977Z 
2023-01-11T21:31:30.0870391Z view() received an invalid combination of arguments - got (str), but expected one of:
2023-01-11T21:31:30.0870884Z  * (torch.dtype dtype)
2023-01-11T21:31:30.0871461Z       didn't match because some of the arguments have invalid types: (!str!)
2023-01-11T21:31:30.0871904Z  * (tuple of ints size)
2023-01-11T21:31:30.0872497Z       didn't match because some of the arguments have invalid types: (!str!)
2023-01-11T21:31:30.0872815Z 
2023-01-11T21:31:30.0872941Z ok (0.012s)
2023-01-11T21:31:30.0873954Z   test_symintlist_error_with_overload_but_is_unique (__main__.TestNativeFunctions) ... set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of:
2023-01-11T21:31:30.0874583Z  * ()
2023-01-11T21:31:30.0874909Z  * (torch.Storage source)
2023-01-11T21:31:30.0875414Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0875868Z  * (Tensor source)
2023-01-11T21:31:30.0876325Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0876778Z 
2023-01-11T21:31:30.0877196Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0878048Z set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of:
2023-01-11T21:31:30.0878515Z  * ()
2023-01-11T21:31:30.0878839Z  * (torch.Storage source)
2023-01-11T21:31:30.0879320Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0879770Z  * (Tensor source)
2023-01-11T21:31:30.0880233Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0880551Z 
2023-01-11T21:31:30.0881017Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of:
2023-01-11T21:31:30.0881481Z  * ()
2023-01-11T21:31:30.0881803Z  * (torch.Storage source)
2023-01-11T21:31:30.0882300Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0882755Z  * (Tensor source)
2023-01-11T21:31:30.0883223Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0883706Z 
2023-01-11T21:31:30.0884128Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0884918Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of:
2023-01-11T21:31:30.0885377Z  * ()
2023-01-11T21:31:30.0885703Z  * (torch.Storage source)
2023-01-11T21:31:30.0886207Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0886646Z  * (Tensor source)
2023-01-11T21:31:30.0887112Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0887434Z 
2023-01-11T21:31:30.0887893Z set_() received an invalid combination of arguments - got (Tensor, int, str), but expected one of:
2023-01-11T21:31:30.0888370Z  * ()
2023-01-11T21:31:30.0888673Z  * (torch.Storage source)
2023-01-11T21:31:30.0889182Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0889643Z  * (Tensor source)
2023-01-11T21:31:30.0890103Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2023-01-11T21:31:30.0890430Z 
2023-01-11T21:31:30.0890556Z ok (0.012s)
2023-01-11T21:31:30.0891404Z   test_vararg_symintlist_error (__main__.TestNativeFunctions) ... rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0892255Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0893035Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0893836Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0894589Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0895324Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0896122Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0896919Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0897662Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0898403Z rand() received an invalid combination of arguments - got (str, int), but expected one of:
2023-01-11T21:31:30.0899225Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0900184Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0901215Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0902109Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0902565Z 
2023-01-11T21:31:30.0903021Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2023-01-11T21:31:30.0903776Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2023-01-11T21:31:30.0904546Z rand() received an invalid combination of arguments - got (str, int), but expected one of:
2023-01-11T21:31:30.0905353Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0906303Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0907181Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0908013Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0908462Z 
2023-01-11T21:31:30.0908909Z rand() received an invalid combination of arguments - got (str, str, str), but expected one of:
2023-01-11T21:31:30.0909743Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0910692Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0911550Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0912369Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2023-01-11T21:31:30.0912834Z 
2023-01-11T21:31:30.0912960Z ok (0.024s)
2023-01-11T21:31:30.0913155Z 
2023-01-11T21:31:30.0913602Z ----------------------------------------------------------------------
2023-01-11T21:31:30.0914061Z Ran 11 tests in 0.413s
2023-01-11T21:31:30.0914262Z 
2023-01-11T21:31:30.0914382Z OK
2023-01-11T21:31:30.0914553Z 
2023-01-11T21:31:30.0914716Z Generating XML reports...
2023-01-11T21:31:30.0915534Z Generated XML report: test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20230111213129.xml
2023-01-11T21:31:30.0916006Z 
2023-01-11T21:31:30.0916467Z ##[endgroup]
2023-01-11T21:31:30.0917241Z FINISHED PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_uegvt4oc)
2023-01-11T21:31:30.0917680Z 
2023-01-11T21:31:31.9279151Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:32.0635111Z Ignoring disabled issues:  []
2023-01-11T21:31:32.0798887Z Running nn/test_dropout ... [2023-01-11 21:31:32.079576]
2023-01-11T21:31:32.0800211Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_dropout.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:32.079817]
2023-01-11T21:31:34.1604136Z 
2023-01-11T21:31:34.1604709Z Expand the folded group to see the log file of nn/test_dropout
2023-01-11T21:31:34.1605694Z ##[group]PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_372gk2nr)
2023-01-11T21:31:34.1606211Z Test results will be stored in test-reports/python-unittest/nn.test_dropout
2023-01-11T21:31:34.1606391Z 
2023-01-11T21:31:34.1606463Z Running tests...
2023-01-11T21:31:34.1606758Z ----------------------------------------------------------------------
2023-01-11T21:31:34.1607264Z   test_AlphaDropout (__main__.TestDropoutNN) ... ok (0.003s)
2023-01-11T21:31:34.1607545Z   test_FeatureAlphaDropout (__main__.TestDropoutNN) ... ok (0.079s)
2023-01-11T21:31:34.1607879Z   test_invalid_dropout_p (__main__.TestDropoutNN) ... ok (0.001s)
2023-01-11T21:31:34.1608190Z   test_native_dropout_corner_case (__main__.TestDropoutNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T21:31:34.1608514Z   test_Dropout1d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T21:31:34.1608832Z   test_Dropout2d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.012s)
2023-01-11T21:31:34.1609132Z   test_Dropout3d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T21:31:34.1609442Z   test_Dropout_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.206s)
2023-01-11T21:31:34.1609759Z   test_empty_dropout_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T21:31:34.1609937Z 
2023-01-11T21:31:34.1610142Z ----------------------------------------------------------------------
2023-01-11T21:31:34.1610371Z Ran 9 tests in 0.317s
2023-01-11T21:31:34.1610482Z 
2023-01-11T21:31:34.1610552Z OK (skipped=1)
2023-01-11T21:31:34.1610657Z 
2023-01-11T21:31:34.1610740Z Generating XML reports...
2023-01-11T21:31:34.1611140Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20230111213133.xml
2023-01-11T21:31:34.1611684Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCPU-20230111213133.xml
2023-01-11T21:31:34.1611940Z 
2023-01-11T21:31:34.1612166Z ##[endgroup]
2023-01-11T21:31:34.1612530Z FINISHED PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_372gk2nr)
2023-01-11T21:31:34.1612740Z 
2023-01-11T21:31:35.9584241Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:36.0962432Z Ignoring disabled issues:  []
2023-01-11T21:31:36.1127938Z Running dynamo/test_export_mutations ... [2023-01-11 21:31:36.112531]
2023-01-11T21:31:36.1130479Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:36.112785]
2023-01-11T21:31:37.9784389Z 
2023-01-11T21:31:37.9784940Z Expand the folded group to see the log file of dynamo/test_export_mutations
2023-01-11T21:31:37.9785949Z ##[group]PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_tjsj95pu)
2023-01-11T21:31:37.9786995Z Test results will be stored in test-reports/python-unittest/dynamo.test_export_mutations
2023-01-11T21:31:37.9787350Z 
2023-01-11T21:31:37.9787467Z Running tests...
2023-01-11T21:31:37.9788018Z ----------------------------------------------------------------------
2023-01-11T21:31:37.9789735Z   test_module_attribute_mutation_violation_negative_1 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88468 for platform(s) linux, macos, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.243s)
2023-01-11T21:31:37.9791126Z   test_module_attribute_mutation_violation_negative_2 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88475 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:31:37.9792294Z   test_module_attribute_mutation_violation_negative_3 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88466 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:31:37.9793802Z   test_module_attribute_mutation_violation_negative_4 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88467 for platform(s) linux, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2023-01-11T21:31:37.9794435Z   test_module_attribute_mutation_violation_positive_1 (__main__.MutationExportTests) ... ok (0.026s)
2023-01-11T21:31:37.9794778Z   test_module_attribute_mutation_violation_positive_2 (__main__.MutationExportTests) ... ok (0.003s)
2023-01-11T21:31:37.9795132Z   test_module_attribute_mutation_violation_positive_3 (__main__.MutationExportTests) ... ok (0.003s)
2023-01-11T21:31:37.9795490Z   test_module_attribute_mutation_violation_positive_4 (__main__.MutationExportTests) ... inline_call []
2023-01-11T21:31:37.9795748Z ok (0.004s)
2023-01-11T21:31:37.9795838Z 
2023-01-11T21:31:37.9796038Z ----------------------------------------------------------------------
2023-01-11T21:31:37.9796274Z Ran 8 tests in 0.280s
2023-01-11T21:31:37.9796389Z 
2023-01-11T21:31:37.9796460Z OK (skipped=4)
2023-01-11T21:31:37.9796565Z 
2023-01-11T21:31:37.9796637Z Generating XML reports...
2023-01-11T21:31:37.9797076Z Generated XML report: test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20230111213137.xml
2023-01-11T21:31:37.9797329Z 
2023-01-11T21:31:37.9797566Z ##[endgroup]
2023-01-11T21:31:37.9797980Z FINISHED PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_tjsj95pu)
2023-01-11T21:31:37.9798220Z 
2023-01-11T21:31:39.7673482Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:39.9020203Z Ignoring disabled issues:  []
2023-01-11T21:31:39.9184363Z Running test_itt ... [2023-01-11 21:31:39.918183]
2023-01-11T21:31:39.9186726Z Executing ['/opt/conda/bin/python', '-bb', 'test_itt.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:39.918438]
2023-01-11T21:31:41.6774234Z 
2023-01-11T21:31:41.6774779Z Expand the folded group to see the log file of test_itt
2023-01-11T21:31:41.6775831Z ##[group]PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_roqxomvv)
2023-01-11T21:31:41.6776699Z Test results will be stored in test-reports/python-unittest/test_itt
2023-01-11T21:31:41.6777011Z 
2023-01-11T21:31:41.6777103Z Running tests...
2023-01-11T21:31:41.6777427Z ----------------------------------------------------------------------
2023-01-11T21:31:41.6777695Z   test_itt (__main__.TestItt) ... ok (0.244s)
2023-01-11T21:31:41.6777826Z 
2023-01-11T21:31:41.6778017Z ----------------------------------------------------------------------
2023-01-11T21:31:41.6778240Z Ran 1 test in 0.244s
2023-01-11T21:31:41.6778359Z 
2023-01-11T21:31:41.6778418Z OK
2023-01-11T21:31:41.6778508Z 
2023-01-11T21:31:41.6778591Z Generating XML reports...
2023-01-11T21:31:41.6778953Z Generated XML report: test-reports/python-unittest/test_itt/TEST-TestItt-20230111213141.xml
2023-01-11T21:31:41.6779158Z 
2023-01-11T21:31:41.6779382Z ##[endgroup]
2023-01-11T21:31:41.6779732Z FINISHED PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_roqxomvv)
2023-01-11T21:31:41.6779937Z 
2023-01-11T21:31:43.4410150Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:43.5740676Z Ignoring disabled issues:  []
2023-01-11T21:31:43.5905583Z Running test_license ... [2023-01-11 21:31:43.590332]
2023-01-11T21:31:43.5908078Z Executing ['/opt/conda/bin/python', '-bb', 'test_license.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:43.590575]
2023-01-11T21:31:45.3522031Z 
2023-01-11T21:31:45.3522535Z Expand the folded group to see the log file of test_license
2023-01-11T21:31:45.3524176Z ##[group]PRINTING LOG FILE of test_license (/var/lib/jenkins/workspace/test/test-reports/test_license_jndl20zz)
2023-01-11T21:31:45.3524753Z Test results will be stored in test-reports/python-unittest/test_license
2023-01-11T21:31:45.3524953Z 
2023-01-11T21:31:45.3525116Z Running tests...
2023-01-11T21:31:45.3525431Z ----------------------------------------------------------------------
2023-01-11T21:31:45.3525758Z   test_distinfo_license (__main__.TestLicense)
2023-01-11T21:31:45.3526041Z If run when pytorch is installed via a wheel, the license will be in ... ok (0.248s)
2023-01-11T21:31:45.3526404Z   test_license_for_wheel (__main__.TestLicense) ... skip: can only be run in a source tree (0.000s)
2023-01-11T21:31:45.3526589Z 
2023-01-11T21:31:45.3526790Z ----------------------------------------------------------------------
2023-01-11T21:31:45.3527061Z Ran 2 tests in 0.249s
2023-01-11T21:31:45.3527186Z 
2023-01-11T21:31:45.3527244Z OK (skipped=1)
2023-01-11T21:31:45.3527350Z 
2023-01-11T21:31:45.3527438Z Generating XML reports...
2023-01-11T21:31:45.3529458Z Generated XML report: test-reports/python-unittest/test_license/TEST-TestLicense-20230111213144.xml
2023-01-11T21:31:45.3529922Z 
2023-01-11T21:31:45.3530503Z ##[endgroup]
2023-01-11T21:31:45.3531248Z FINISHED PRINTING LOG FILE of test_license (/var/lib/jenkins/workspace/test/test-reports/test_license_jndl20zz)
2023-01-11T21:31:45.3531675Z 
2023-01-11T21:31:47.1744383Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:47.3129668Z Ignoring disabled issues:  []
2023-01-11T21:31:47.3295538Z Running nn/test_pruning ... [2023-01-11 21:31:47.329301]
2023-01-11T21:31:47.3297849Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_pruning.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:47.329557]
2023-01-11T21:31:49.1939738Z 
2023-01-11T21:31:49.1940283Z Expand the folded group to see the log file of nn/test_pruning
2023-01-11T21:31:49.1941416Z ##[group]PRINTING LOG FILE of nn/test_pruning (/var/lib/jenkins/workspace/test/test-reports/nn-test_pruning_8w2el726)
2023-01-11T21:31:49.1942372Z Test results will be stored in test-reports/python-unittest/nn.test_pruning
2023-01-11T21:31:49.1942666Z 
2023-01-11T21:31:49.1942804Z Running tests...
2023-01-11T21:31:49.1943360Z ----------------------------------------------------------------------
2023-01-11T21:31:49.1943815Z   test_compute_nparams_to_prune (__main__.TestPruningNN)
2023-01-11T21:31:49.1944293Z Test that requested pruning `amount` gets translated into the ... ok (0.010s)
2023-01-11T21:31:49.1944765Z   test_custom_from_mask_pruning (__main__.TestPruningNN)
2023-01-11T21:31:49.1945237Z Test that the CustomFromMask is capable of receiving ... ok (0.001s)
2023-01-11T21:31:49.1945685Z   test_global_pruning (__main__.TestPruningNN)
2023-01-11T21:31:49.1946137Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.003s)
2023-01-11T21:31:49.1946651Z   test_global_pruning_importance_scores (__main__.TestPruningNN)
2023-01-11T21:31:49.1947210Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.003s)
2023-01-11T21:31:49.1947737Z   test_identity_pruning (__main__.TestPruningNN)
2023-01-11T21:31:49.1948258Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s)
2023-01-11T21:31:49.1948797Z   test_l1_unstructured_pruning (__main__.TestPruningNN)
2023-01-11T21:31:49.1949328Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.002s)
2023-01-11T21:31:49.1949937Z   test_l1_unstructured_pruning_with_importance_scores (__main__.TestPruningNN)
2023-01-11T21:31:49.1950539Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.002s)
2023-01-11T21:31:49.1951073Z   test_ln_structured_pruning (__main__.TestPruningNN)
2023-01-11T21:31:49.1951545Z Check Ln structured pruning by hand. ... ok (0.002s)
2023-01-11T21:31:49.1952081Z   test_ln_structured_pruning_importance_scores (__main__.TestPruningNN)
2023-01-11T21:31:49.1952605Z Check Ln structured pruning by hand. ... ok (0.002s)
2023-01-11T21:31:49.1953506Z   test_multiple_pruning_calls (__main__.TestPruningNN) ... ok (0.002s)
2023-01-11T21:31:49.1954021Z   test_prune (__main__.TestPruningNN) ... ok (0.001s)
2023-01-11T21:31:49.1954628Z   test_prune_importance_scores (__main__.TestPruningNN) ... ok (0.001s)
2023-01-11T21:31:49.1955206Z   test_prune_importance_scores_mimic_default (__main__.TestPruningNN) ... ok (0.001s)
2023-01-11T21:31:49.1955776Z   test_pruning_container (__main__.TestPruningNN) ... ok (0.001s)
2023-01-11T21:31:49.1956313Z   test_pruning_container_compute_mask (__main__.TestPruningNN)
2023-01-11T21:31:49.1956871Z Test `compute_mask` of pruning container with a known `t` and ... ok (0.003s)
2023-01-11T21:31:49.1957395Z   test_pruning_id_consistency (__main__.TestPruningNN)
2023-01-11T21:31:49.1958161Z Test that pruning doesn't change the id of the parameters, which ... ok (0.001s)
2023-01-11T21:31:49.1958695Z   test_pruning_rollback (__main__.TestPruningNN)
2023-01-11T21:31:49.1959217Z Test that if something fails when the we try to compute the mask, ... ok (0.003s)
2023-01-11T21:31:49.1959811Z   test_pruning_serialization_model (__main__.TestPruningNN) ... ok (0.004s)
2023-01-11T21:31:49.1960402Z   test_pruning_serialization_state_dict (__main__.TestPruningNN) ... ok (0.003s)
2023-01-11T21:31:49.1960947Z   test_random_pruning (__main__.TestPruningNN) ... ok (0.002s)
2023-01-11T21:31:49.1961423Z   test_random_pruning_0perc (__main__.TestPruningNN)
2023-01-11T21:31:49.1961949Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s)
2023-01-11T21:31:49.1962482Z   test_random_pruning_forward (__main__.TestPruningNN)
2023-01-11T21:31:49.1962941Z check forward with mask (by hand). ... ok (0.002s)
2023-01-11T21:31:49.1963671Z   test_random_pruning_new_weight (__main__.TestPruningNN)
2023-01-11T21:31:49.1964205Z Test that module.name now contains a pruned version of ... ok (0.002s)
2023-01-11T21:31:49.1964704Z   test_random_pruning_orig (__main__.TestPruningNN)
2023-01-11T21:31:49.1965398Z Test that original tensor is correctly stored in 'orig' ... ok (0.002s)
2023-01-11T21:31:49.1965958Z   test_random_pruning_pickle (__main__.TestPruningNN) ... ok (0.005s)
2023-01-11T21:31:49.1966481Z   test_random_pruning_sizes (__main__.TestPruningNN)
2023-01-11T21:31:49.1967011Z Test that the new parameters and buffers created by the pruning ... ok (0.002s)
2023-01-11T21:31:49.1967611Z   test_random_structured_pruning_amount (__main__.TestPruningNN) ... ok (0.001s)
2023-01-11T21:31:49.1968133Z   test_remove_pruning (__main__.TestPruningNN)
2023-01-11T21:31:49.1968646Z `prune.remove` removes the hook and the reparametrization ... ok (0.003s)
2023-01-11T21:31:49.1969192Z   test_remove_pruning_exception (__main__.TestPruningNN)
2023-01-11T21:31:49.1969744Z Removing from an unpruned tensor throws an assertion error ... ok (0.001s)
2023-01-11T21:31:49.1970266Z   test_remove_pruning_forward (__main__.TestPruningNN)
2023-01-11T21:31:49.1970813Z Remove pruning and check forward is unchanged from previous ... ok (0.002s)
2023-01-11T21:31:49.1971356Z   test_rnn_pruning (__main__.TestPruningNN) ... ok (0.002s)
2023-01-11T21:31:49.1971881Z   test_unstructured_pruning_same_magnitude (__main__.TestPruningNN)
2023-01-11T21:31:49.1972453Z Since it may happen that the tensor to prune has entries with the ... ok (0.001s)
2023-01-11T21:31:49.1972992Z   test_validate_pruning_amount (__main__.TestPruningNN)
2023-01-11T21:31:49.1973522Z Tests the second util function that validates the pruning ... ok (0.001s)
2023-01-11T21:31:49.1974088Z   test_validate_pruning_amount_init (__main__.TestPruningNN)
2023-01-11T21:31:49.1974622Z Test the first util function that validates the pruning ... ok (0.001s)
2023-01-11T21:31:49.1974938Z 
2023-01-11T21:31:49.1975343Z ----------------------------------------------------------------------
2023-01-11T21:31:49.1975795Z Ran 34 tests in 0.080s
2023-01-11T21:31:49.1975996Z 
2023-01-11T21:31:49.1976113Z OK
2023-01-11T21:31:49.1976289Z 
2023-01-11T21:31:49.1976452Z Generating XML reports...
2023-01-11T21:31:49.1977412Z Generated XML report: test-reports/python-unittest/nn.test_pruning/TEST-TestPruningNN-20230111213148.xml
2023-01-11T21:31:49.1977849Z 
2023-01-11T21:31:49.1978321Z ##[endgroup]
2023-01-11T21:31:49.1979147Z FINISHED PRINTING LOG FILE of nn/test_pruning (/var/lib/jenkins/workspace/test/test-reports/nn-test_pruning_8w2el726)
2023-01-11T21:31:49.1979566Z 
2023-01-11T21:31:50.9758733Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:51.1154555Z Ignoring disabled issues:  []
2023-01-11T21:31:51.1319371Z Running test_nvfuser_frontend ... [2023-01-11 21:31:51.131653]
2023-01-11T21:31:51.1320934Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_frontend.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:51.131894]
2023-01-11T21:31:52.6165303Z 
2023-01-11T21:31:52.6165802Z Expand the folded group to see the log file of test_nvfuser_frontend
2023-01-11T21:31:52.6166852Z ##[group]PRINTING LOG FILE of test_nvfuser_frontend (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_frontend_q_n1dddo)
2023-01-11T21:31:52.6167304Z 
2023-01-11T21:31:52.6167426Z Running tests...
2023-01-11T21:31:52.6168069Z ----------------------------------------------------------------------
2023-01-11T21:31:52.6168908Z   test_basic (__main__.TestNvFuserFrontend) ... Test results will be stored in test-reports/python-unittest/test_nvfuser_frontend
2023-01-11T21:31:52.6169453Z skip: requires CUDA (0.002s)
2023-01-11T21:31:52.6169901Z   test_basic_fp16 (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6170422Z   test_broadcast_mixing (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6171012Z   test_cast_double_to_half (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6171580Z   test_explicit_broadcast_input (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6172150Z   test_implicit_broadcast_input (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6172691Z   test_ops_broadcast (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6173206Z   test_prim_layer_norm_fwd (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.004s)
2023-01-11T21:31:52.6173750Z   test_prim_rms_norm_fwd (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.002s)
2023-01-11T21:31:52.6174287Z   test_promote_to_double (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2023-01-11T21:31:52.6174579Z 
2023-01-11T21:31:52.6174982Z ----------------------------------------------------------------------
2023-01-11T21:31:52.6175379Z Ran 10 tests in 0.013s
2023-01-11T21:31:52.6175571Z 
2023-01-11T21:31:52.6175688Z OK (skipped=10)
2023-01-11T21:31:52.6175847Z 
2023-01-11T21:31:52.6175985Z Generating XML reports...
2023-01-11T21:31:52.6176763Z Generated XML report: test-reports/python-unittest/test_nvfuser_frontend/TEST-TestNvFuserFrontend-20230111213152.xml
2023-01-11T21:31:52.6177191Z 
2023-01-11T21:31:52.6177625Z ##[endgroup]
2023-01-11T21:31:52.6178314Z FINISHED PRINTING LOG FILE of test_nvfuser_frontend (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_frontend_q_n1dddo)
2023-01-11T21:31:52.6178686Z 
2023-01-11T21:31:54.4038090Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:54.5412118Z Ignoring disabled issues:  []
2023-01-11T21:31:54.5581080Z Running test_numba_integration ... [2023-01-11 21:31:54.557810]
2023-01-11T21:31:54.5582429Z Executing ['/opt/conda/bin/python', '-bb', 'test_numba_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:54.558059]
2023-01-11T21:31:56.3311833Z 
2023-01-11T21:31:56.3312458Z Expand the folded group to see the log file of test_numba_integration
2023-01-11T21:31:56.3313305Z ##[group]PRINTING LOG FILE of test_numba_integration (/var/lib/jenkins/workspace/test/test-reports/test_numba_integration_g1025gs8)
2023-01-11T21:31:56.3313942Z Test results will be stored in test-reports/python-unittest/test_numba_integration
2023-01-11T21:31:56.3314389Z 
2023-01-11T21:31:56.3314466Z Running tests...
2023-01-11T21:31:56.3314762Z ----------------------------------------------------------------------
2023-01-11T21:31:56.3315116Z   test_active_device (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3315498Z 'as_cuda_array' tensor device must match active numba context. ... skip: No cuda (0.001s)
2023-01-11T21:31:56.3315780Z   test_array_adaptor (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3316075Z Torch __cuda_array_adaptor__ exposes tensor data to numba.cuda. ... skip: No cuda (0.002s)
2023-01-11T21:31:56.3316373Z   test_conversion_errors (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3316672Z Numba properly detects array interface for tensor.Tensor variants. ... skip: No cuda (0.001s)
2023-01-11T21:31:56.3316984Z   test_cuda_array_interface (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3317286Z torch.Tensor exposes __cuda_array_interface__ for cuda tensors. ... skip: No cuda (0.002s)
2023-01-11T21:31:56.3317594Z   test_from_cuda_array_interface (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3318009Z torch.as_tensor() and torch.tensor() supports the __cuda_array_interface__ protocol. ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.002s)
2023-01-11T21:31:56.3318423Z   test_from_cuda_array_interface_active_device (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3318829Z torch.as_tensor() tensor device must match active numba context. ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.001s)
2023-01-11T21:31:56.3319225Z   test_from_cuda_array_interface_inferred_strides (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3319554Z torch.as_tensor(numba_ary) should have correct inferred (contiguous) strides ... skip: No cuda (0.001s)
2023-01-11T21:31:56.3319881Z   test_from_cuda_array_interface_lifetime (__main__.TestNumbaIntegration)
2023-01-11T21:31:56.3320312Z torch.as_tensor(obj) tensor grabs a reference to obj so that the lifetime of obj exceeds the tensor ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.001s)
2023-01-11T21:31:56.3320593Z 
2023-01-11T21:31:56.3320794Z ----------------------------------------------------------------------
2023-01-11T21:31:56.3321021Z Ran 8 tests in 0.009s
2023-01-11T21:31:56.3321132Z 
2023-01-11T21:31:56.3321203Z OK (skipped=8)
2023-01-11T21:31:56.3321308Z 
2023-01-11T21:31:56.3321390Z Generating XML reports...
2023-01-11T21:31:56.3321811Z Generated XML report: test-reports/python-unittest/test_numba_integration/TEST-TestNumbaIntegration-20230111213156.xml
2023-01-11T21:31:56.3322060Z 
2023-01-11T21:31:56.3322290Z ##[endgroup]
2023-01-11T21:31:56.3322693Z FINISHED PRINTING LOG FILE of test_numba_integration (/var/lib/jenkins/workspace/test/test-reports/test_numba_integration_g1025gs8)
2023-01-11T21:31:56.3322921Z 
2023-01-11T21:31:58.2041346Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:31:58.3392996Z Ignoring disabled issues:  []
2023-01-11T21:31:58.3562604Z Running dynamo/test_aot_cudagraphs ... [2023-01-11 21:31:58.355991]
2023-01-11T21:31:58.3565555Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_cudagraphs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:31:58.356300]
2023-01-11T21:31:59.9214587Z 
2023-01-11T21:31:59.9214908Z Expand the folded group to see the log file of dynamo/test_aot_cudagraphs
2023-01-11T21:31:59.9215978Z ##[group]PRINTING LOG FILE of dynamo/test_aot_cudagraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_cudagraphs_42wcfgdy)
2023-01-11T21:31:59.9216212Z 
2023-01-11T21:31:59.9216289Z Running tests...
2023-01-11T21:31:59.9216692Z ----------------------------------------------------------------------
2023-01-11T21:31:59.9217168Z   test_basic (__main__.TestAotCudagraphs) ... Test results will be stored in test-reports/python-unittest/dynamo.test_aot_cudagraphs
2023-01-11T21:31:59.9217479Z skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9228311Z   test_dead_fill (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9228671Z   test_dtoh (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9229128Z   test_factory (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9229458Z   test_htod (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s)
2023-01-11T21:31:59.9229790Z   test_mutate_constant (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9230131Z   test_mutate_input (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9230455Z   test_mutated_metadata (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2023-01-11T21:31:59.9230647Z 
2023-01-11T21:31:59.9230897Z ----------------------------------------------------------------------
2023-01-11T21:31:59.9231141Z Ran 8 tests in 0.005s
2023-01-11T21:31:59.9231264Z 
2023-01-11T21:31:59.9231322Z OK (skipped=8)
2023-01-11T21:31:59.9231430Z 
2023-01-11T21:31:59.9231515Z Generating XML reports...
2023-01-11T21:31:59.9231967Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_cudagraphs/TEST-TestAotCudagraphs-20230111213159.xml
2023-01-11T21:31:59.9232218Z 
2023-01-11T21:31:59.9232486Z ##[endgroup]
2023-01-11T21:31:59.9232913Z FINISHED PRINTING LOG FILE of dynamo/test_aot_cudagraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_cudagraphs_42wcfgdy)
2023-01-11T21:31:59.9233153Z 
2023-01-11T21:32:01.7049259Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:01.8452909Z Ignoring disabled issues:  []
2023-01-11T21:32:01.8622045Z Running test_complex ... [2023-01-11 21:32:01.861736]
2023-01-11T21:32:01.8622911Z Executing ['/opt/conda/bin/python', '-bb', 'test_complex.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:32:01.861973]
2023-01-11T21:32:03.5819368Z 
2023-01-11T21:32:03.5819889Z Expand the folded group to see the log file of test_complex
2023-01-11T21:32:03.5820943Z ##[group]PRINTING LOG FILE of test_complex (/var/lib/jenkins/workspace/test/test-reports/test_complex_7irzarwk)
2023-01-11T21:32:03.5821885Z Test results will be stored in test-reports/python-unittest/test_complex
2023-01-11T21:32:03.5822183Z 
2023-01-11T21:32:03.5822287Z Running tests...
2023-01-11T21:32:03.5822763Z ----------------------------------------------------------------------
2023-01-11T21:32:03.5823275Z   test_dtype_inference_cpu_float32 (__main__.TestComplexTensorCPU) ... ok (0.002s)
2023-01-11T21:32:03.5823871Z   test_dtype_inference_cpu_float64 (__main__.TestComplexTensorCPU) ... ok (0.001s)
2023-01-11T21:32:03.5824207Z   test_to_list_cpu_complex128 (__main__.TestComplexTensorCPU) ... ok (0.001s)
2023-01-11T21:32:03.5824573Z   test_to_list_cpu_complex64 (__main__.TestComplexTensorCPU) ... ok (0.001s)
2023-01-11T21:32:03.5824745Z 
2023-01-11T21:32:03.5824948Z ----------------------------------------------------------------------
2023-01-11T21:32:03.5825211Z Ran 4 tests in 0.004s
2023-01-11T21:32:03.5825353Z 
2023-01-11T21:32:03.5825414Z OK
2023-01-11T21:32:03.5825506Z 
2023-01-11T21:32:03.5825590Z Generating XML reports...
2023-01-11T21:32:03.5826061Z Generated XML report: test-reports/python-unittest/test_complex/TEST-TestComplexTensorCPU-20230111213203.xml
2023-01-11T21:32:03.5826306Z 
2023-01-11T21:32:03.5826543Z ##[endgroup]
2023-01-11T21:32:03.5826974Z FINISHED PRINTING LOG FILE of test_complex (/var/lib/jenkins/workspace/test/test-reports/test_complex_7irzarwk)
2023-01-11T21:32:03.5827185Z 
2023-01-11T21:32:05.4161104Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:05.5550244Z Ignoring disabled issues:  []
2023-01-11T21:32:05.5717370Z Running test_nvfuser_dynamo ... [2023-01-11 21:32:05.571454]
2023-01-11T21:32:05.5719587Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_dynamo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:32:05.571720]
2023-01-11T21:32:07.2279031Z 
2023-01-11T21:32:07.2279532Z Expand the folded group to see the log file of test_nvfuser_dynamo
2023-01-11T21:32:07.2281019Z ##[group]PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_30gaywqs)
2023-01-11T21:32:07.2281440Z 
2023-01-11T21:32:07.2281576Z Running tests...
2023-01-11T21:32:07.2282226Z ----------------------------------------------------------------------
2023-01-11T21:32:07.2282987Z   test_basic (__main__.TestNvFuserDynamo) ... Test results will be stored in test-reports/python-unittest/test_nvfuser_dynamo
2023-01-11T21:32:07.2283290Z skip: requires CUDA (0.001s)
2023-01-11T21:32:07.2283748Z   test_batch_norm_implicit_dtype_promotion (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s)
2023-01-11T21:32:07.2284095Z   test_dtype_correctness (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s)
2023-01-11T21:32:07.2284396Z   test_min_cut (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s)
2023-01-11T21:32:07.2284571Z 
2023-01-11T21:32:07.2284773Z ----------------------------------------------------------------------
2023-01-11T21:32:07.2285011Z Ran 4 tests in 0.004s
2023-01-11T21:32:07.2285125Z 
2023-01-11T21:32:07.2285185Z OK (skipped=4)
2023-01-11T21:32:07.2285295Z 
2023-01-11T21:32:07.2285377Z Generating XML reports...
2023-01-11T21:32:07.2285800Z Generated XML report: test-reports/python-unittest/test_nvfuser_dynamo/TEST-TestNvFuserDynamo-20230111213206.xml
2023-01-11T21:32:07.2286037Z 
2023-01-11T21:32:07.2286256Z ##[endgroup]
2023-01-11T21:32:07.2286640Z FINISHED PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_30gaywqs)
2023-01-11T21:32:07.2286856Z 
2023-01-11T21:32:09.0314918Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:09.1689077Z Ignoring disabled issues:  []
2023-01-11T21:32:09.1855316Z Running dynamo/test_model_output ... [2023-01-11 21:32:09.185282]
2023-01-11T21:32:09.1857490Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_model_output.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:32:09.185542]
2023-01-11T21:32:10.7144221Z 
2023-01-11T21:32:10.7144915Z Expand the folded group to see the log file of dynamo/test_model_output
2023-01-11T21:32:10.7145802Z ##[group]PRINTING LOG FILE of dynamo/test_model_output (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_model_output_apyyc8sr)
2023-01-11T21:32:10.7146685Z Test results will be stored in test-reports/python-unittest/dynamo.test_model_output
2023-01-11T21:32:10.7147032Z 
2023-01-11T21:32:10.7147154Z Running tests...
2023-01-11T21:32:10.7147526Z ----------------------------------------------------------------------
2023-01-11T21:32:10.7147850Z   test_pretrained (__main__.TestHFPretrained) ... skip: requires HuggingFace (0.001s)
2023-01-11T21:32:10.7148173Z   test_mo_assign (__main__.TestModelOutput) ... skip: requires HuggingFace (0.001s)
2023-01-11T21:32:10.7148490Z   test_mo_create (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2023-01-11T21:32:10.7148807Z   test_mo_getattr (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2023-01-11T21:32:10.7149126Z   test_mo_getitem (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2023-01-11T21:32:10.7149440Z   test_mo_index (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2023-01-11T21:32:10.7149736Z   test_mo_init (__main__.TestModelOutput) ... skip: requires HuggingFace (0.001s)
2023-01-11T21:32:10.7150044Z   test_mo_tuple (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2023-01-11T21:32:10.7150214Z 
2023-01-11T21:32:10.7150409Z ----------------------------------------------------------------------
2023-01-11T21:32:10.7150634Z Ran 8 tests in 0.004s
2023-01-11T21:32:10.7150744Z 
2023-01-11T21:32:10.7150815Z OK (skipped=8)
2023-01-11T21:32:10.7150919Z 
2023-01-11T21:32:10.7151001Z Generating XML reports...
2023-01-11T21:32:10.7151432Z Generated XML report: test-reports/python-unittest/dynamo.test_model_output/TEST-TestHFPretrained-20230111213210.xml
2023-01-11T21:32:10.7152165Z Generated XML report: test-reports/python-unittest/dynamo.test_model_output/TEST-TestModelOutput-20230111213210.xml
2023-01-11T21:32:10.7152464Z 
2023-01-11T21:32:10.7152722Z ##[endgroup]
2023-01-11T21:32:10.7153134Z FINISHED PRINTING LOG FILE of dynamo/test_model_output (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_model_output_apyyc8sr)
2023-01-11T21:32:10.7153354Z 
2023-01-11T21:32:12.5275983Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:12.6623541Z Ignoring disabled issues:  []
2023-01-11T21:32:12.6789432Z Running test_vulkan ... [2023-01-11 21:32:12.678667]
2023-01-11T21:32:12.6790937Z Executing ['/opt/conda/bin/python', '-bb', 'test_vulkan.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:32:12.678901]
2023-01-11T21:32:14.1046698Z 
2023-01-11T21:32:14.1047198Z Expand the folded group to see the log file of test_vulkan
2023-01-11T21:32:14.1049766Z ##[group]PRINTING LOG FILE of test_vulkan (/var/lib/jenkins/workspace/test/test-reports/test_vulkan_n2l_5t81)
2023-01-11T21:32:14.1050182Z 
2023-01-11T21:32:14.1050315Z Running tests...
2023-01-11T21:32:14.1050766Z ----------------------------------------------------------------------
2023-01-11T21:32:14.1051220Z   test_conv (__main__.TestVulkanRewritePass) ... Test results will be stored in test-reports/python-unittest/test_vulkan
2023-01-11T21:32:14.1051573Z skip: Vulkan backend must be available for these tests. (0.003s)
2023-01-11T21:32:14.1051730Z 
2023-01-11T21:32:14.1051928Z ----------------------------------------------------------------------
2023-01-11T21:32:14.1052167Z Ran 1 test in 0.003s
2023-01-11T21:32:14.1052267Z 
2023-01-11T21:32:14.1052339Z OK (skipped=1)
2023-01-11T21:32:14.1052445Z 
2023-01-11T21:32:14.1052528Z Generating XML reports...
2023-01-11T21:32:14.1052953Z Generated XML report: test-reports/python-unittest/test_vulkan/TEST-TestVulkanRewritePass-20230111213213.xml
2023-01-11T21:32:14.1053195Z 
2023-01-11T21:32:14.1053399Z ##[endgroup]
2023-01-11T21:32:14.1053761Z FINISHED PRINTING LOG FILE of test_vulkan (/var/lib/jenkins/workspace/test/test-reports/test_vulkan_n2l_5t81)
2023-01-11T21:32:14.1053970Z 
2023-01-11T21:32:15.9419220Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:16.0837280Z Ignoring disabled issues:  []
2023-01-11T21:32:16.1007523Z Running dynamo/test_replay_record ... [2023-01-11 21:32:16.100446]
2023-01-11T21:32:16.1008978Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_replay_record.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:32:16.100707]
2023-01-11T21:32:17.6505563Z 
2023-01-11T21:32:17.6506348Z Expand the folded group to see the log file of dynamo/test_replay_record
2023-01-11T21:32:17.6507346Z ##[group]PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_f_mtb2ve)
2023-01-11T21:32:17.6507967Z Test results will be stored in test-reports/python-unittest/dynamo.test_replay_record
2023-01-11T21:32:17.6508161Z 
2023-01-11T21:32:17.6508235Z Running tests...
2023-01-11T21:32:17.6508549Z ----------------------------------------------------------------------
2023-01-11T21:32:17.6508852Z   test_fn_call_args (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2023-01-11T21:32:17.6509167Z   test_local_module (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2023-01-11T21:32:17.6509484Z   test_nonlocal_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2023-01-11T21:32:17.6509811Z   test_nonlocal_module_class (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2023-01-11T21:32:17.6510135Z   test_nonlocal_module_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2023-01-11T21:32:17.6510463Z   test_successful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2023-01-11T21:32:17.6510789Z   test_unsuccessful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2023-01-11T21:32:17.6511174Z 
2023-01-11T21:32:17.6511362Z ----------------------------------------------------------------------
2023-01-11T21:32:17.6511601Z Ran 7 tests in 0.004s
2023-01-11T21:32:17.6511785Z 
2023-01-11T21:32:17.6511858Z OK (skipped=7)
2023-01-11T21:32:17.6511964Z 
2023-01-11T21:32:17.6512046Z Generating XML reports...
2023-01-11T21:32:17.6512473Z Generated XML report: test-reports/python-unittest/dynamo.test_replay_record/TEST-ReplayRecordTests-20230111213217.xml
2023-01-11T21:32:17.6512718Z 
2023-01-11T21:32:17.6512943Z ##[endgroup]
2023-01-11T21:32:17.6513355Z FINISHED PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_f_mtb2ve)
2023-01-11T21:32:17.6513717Z 
2023-01-11T21:32:19.4530502Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:19.5868572Z Ignoring disabled issues:  []
2023-01-11T21:32:19.6036046Z Running test_type_hints ... [2023-01-11 21:32:19.603314]
2023-01-11T21:32:19.6038032Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_hints.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:32:19.603583]
2023-01-11T21:32:21.1063606Z 
2023-01-11T21:32:21.1064254Z Expand the folded group to see the log file of test_type_hints
2023-01-11T21:32:21.1065329Z ##[group]PRINTING LOG FILE of test_type_hints (/var/lib/jenkins/workspace/test/test-reports/test_type_hints_gnddt9m6)
2023-01-11T21:32:21.1066127Z Test results will be stored in test-reports/python-unittest/test_type_hints
2023-01-11T21:32:21.1066309Z 
2023-01-11T21:32:21.1066383Z Running tests...
2023-01-11T21:32:21.1066687Z ----------------------------------------------------------------------
2023-01-11T21:32:21.1066950Z   test_doc_examples (__main__.TestTypeHints)
2023-01-11T21:32:21.1067284Z Run documentation examples through mypy. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:32:21.1067508Z 
2023-01-11T21:32:21.1067702Z ----------------------------------------------------------------------
2023-01-11T21:32:21.1067939Z Ran 1 test in 0.001s
2023-01-11T21:32:21.1068039Z 
2023-01-11T21:32:21.1068111Z OK (skipped=1)
2023-01-11T21:32:21.1068218Z 
2023-01-11T21:32:21.1068305Z Generating XML reports...
2023-01-11T21:32:21.1068714Z Generated XML report: test-reports/python-unittest/test_type_hints/TEST-TestTypeHints-20230111213220.xml
2023-01-11T21:32:21.1068941Z 
2023-01-11T21:32:21.1069145Z ##[endgroup]
2023-01-11T21:32:21.1069522Z FINISHED PRINTING LOG FILE of test_type_hints (/var/lib/jenkins/workspace/test/test-reports/test_type_hints_gnddt9m6)
2023-01-11T21:32:21.1069735Z 
2023-01-11T21:32:22.9581962Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:32:23.0987954Z Ignoring disabled issues:  []
2023-01-11T21:35:33.0008546Z 
2023-01-11T21:35:33.0008944Z Expand the folded group to see the log file of test_decomp
2023-01-11T21:35:33.0009609Z ##[group]PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_s_ismx8r)
2023-01-11T21:35:33.0017108Z Test results will be stored in test-reports/python-unittest/test_decomp
2023-01-11T21:35:33.0017386Z 
2023-01-11T21:35:33.0017473Z Running tests...
2023-01-11T21:35:33.0017941Z ----------------------------------------------------------------------
2023-01-11T21:35:33.0099846Z   test_amp_batch_norm_backward_cpu (__main__.DecompAmpTestsCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:35:33.0100715Z   test_contiguous_log_softmax_cpu (__main__.DecompContiguousTestsCPU) ... ok (0.002s)
2023-01-11T21:35:33.0101422Z   test_contiguous_softmax_cpu (__main__.DecompContiguousTestsCPU) ... ok (0.001s)
2023-01-11T21:35:33.0102139Z   test_comprehensive_H_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0102623Z   test_comprehensive_H_cpu_bool (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0106892Z   test_comprehensive_H_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.097s)
2023-01-11T21:35:33.0107644Z   test_comprehensive_H_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0107963Z   test_comprehensive_H_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0108348Z   test_comprehensive_H_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0108723Z   test_comprehensive_H_cpu_float32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0109173Z   test_comprehensive_H_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0109650Z   test_comprehensive_H_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0110119Z   test_comprehensive_H_cpu_int32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0110500Z   test_comprehensive_H_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0110787Z   test_comprehensive_H_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0111079Z   test_comprehensive_H_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0111360Z   test_comprehensive_T_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0111690Z   test_comprehensive_T_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0112167Z   test_comprehensive_T_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0112600Z   test_comprehensive_T_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0112890Z   test_comprehensive_T_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0113191Z   test_comprehensive_T_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0113500Z   test_comprehensive_T_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0113874Z   test_comprehensive_T_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0114151Z   test_comprehensive_T_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0114442Z   test_comprehensive_T_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0114736Z   test_comprehensive_T_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0115011Z   test_comprehensive_T_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0115303Z   test_comprehensive_T_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0115607Z   test_comprehensive___getitem___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0115926Z   test_comprehensive___getitem___cpu_bool (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0116230Z   test_comprehensive___getitem___cpu_complex128 (__main__.TestDecompCPU) ... ok (0.461s)
2023-01-11T21:35:33.0116552Z   test_comprehensive___getitem___cpu_complex32 (__main__.TestDecompCPU) ... ok (0.271s)
2023-01-11T21:35:33.0117006Z   test_comprehensive___getitem___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.463s)
2023-01-11T21:35:33.0117448Z   test_comprehensive___getitem___cpu_float16 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0118056Z   test_comprehensive___getitem___cpu_float32 (__main__.TestDecompCPU) ... ok (0.275s)
2023-01-11T21:35:33.0118523Z   test_comprehensive___getitem___cpu_float64 (__main__.TestDecompCPU) ... ok (0.267s)
2023-01-11T21:35:33.0118900Z   test_comprehensive___getitem___cpu_int16 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0119414Z   test_comprehensive___getitem___cpu_int32 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.0119917Z   test_comprehensive___getitem___cpu_int64 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0120337Z   test_comprehensive___getitem___cpu_int8 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0120632Z   test_comprehensive___getitem___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.0120938Z   test_comprehensive___radd___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0121245Z   test_comprehensive___radd___cpu_bool (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0121655Z   test_comprehensive___radd___cpu_complex128 (__main__.TestDecompCPU) ... ok (0.409s)
2023-01-11T21:35:33.0122021Z   test_comprehensive___radd___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.396s)
2023-01-11T21:35:33.0122403Z   test_comprehensive___radd___cpu_float16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0122919Z   test_comprehensive___radd___cpu_float32 (__main__.TestDecompCPU) ... ok (0.217s)
2023-01-11T21:35:33.0123650Z   test_comprehensive___radd___cpu_float64 (__main__.TestDecompCPU) ... ok (0.213s)
2023-01-11T21:35:33.0123993Z   test_comprehensive___radd___cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0124297Z   test_comprehensive___radd___cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0124744Z   test_comprehensive___radd___cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0125230Z   test_comprehensive___radd___cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0125806Z   test_comprehensive___radd___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0126295Z   test_comprehensive___rand___cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0126759Z   test_comprehensive___rand___cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0127224Z   test_comprehensive___rand___cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0127522Z   test_comprehensive___rand___cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0127822Z   test_comprehensive___rand___cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0128107Z   test_comprehensive___rand___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0128415Z   test_comprehensive___rdiv___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0128720Z   test_comprehensive___rdiv___cpu_bool (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.0129028Z   test_comprehensive___rdiv___cpu_complex128 (__main__.TestDecompCPU) ... ok (1.743s)
2023-01-11T21:35:33.0129364Z   test_comprehensive___rdiv___cpu_complex64 (__main__.TestDecompCPU) ... ok (1.692s)
2023-01-11T21:35:33.0129680Z   test_comprehensive___rdiv___cpu_float16 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.0129986Z   test_comprehensive___rdiv___cpu_float32 (__main__.TestDecompCPU) ... ok (0.784s)
2023-01-11T21:35:33.0130292Z   test_comprehensive___rdiv___cpu_float64 (__main__.TestDecompCPU) ... ok (0.833s)
2023-01-11T21:35:33.0130578Z   test_comprehensive___rdiv___cpu_int16 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0130877Z   test_comprehensive___rdiv___cpu_int32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0131173Z   test_comprehensive___rdiv___cpu_int64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0131459Z   test_comprehensive___rdiv___cpu_int8 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0131762Z   test_comprehensive___rdiv___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0132073Z   test_comprehensive___rmatmul___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.087s)
2023-01-11T21:35:33.0132415Z   test_comprehensive___rmatmul___cpu_complex128 (__main__.TestDecompCPU) ... ok (2.446s)
2023-01-11T21:35:33.0132876Z   test_comprehensive___rmatmul___cpu_complex64 (__main__.TestDecompCPU) ... ok (2.536s)
2023-01-11T21:35:33.0133423Z   test_comprehensive___rmatmul___cpu_float32 (__main__.TestDecompCPU) ... ok (1.363s)
2023-01-11T21:35:33.0133942Z   test_comprehensive___rmatmul___cpu_float64 (__main__.TestDecompCPU) ... ok (1.325s)
2023-01-11T21:35:33.0134413Z   test_comprehensive___rmatmul___cpu_int16 (__main__.TestDecompCPU) ... ok (0.556s)
2023-01-11T21:35:33.0134848Z   test_comprehensive___rmatmul___cpu_int32 (__main__.TestDecompCPU) ... ok (0.545s)
2023-01-11T21:35:33.0135159Z   test_comprehensive___rmatmul___cpu_int64 (__main__.TestDecompCPU) ... ok (0.546s)
2023-01-11T21:35:33.0135468Z   test_comprehensive___rmatmul___cpu_int8 (__main__.TestDecompCPU) ... ok (0.544s)
2023-01-11T21:35:33.0135884Z   test_comprehensive___rmatmul___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.535s)
2023-01-11T21:35:33.0136249Z   test_comprehensive___rmod___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0136620Z   test_comprehensive___rmod___cpu_float16 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0136915Z   test_comprehensive___rmod___cpu_float32 (__main__.TestDecompCPU) ... ok (0.656s)
2023-01-11T21:35:33.0137267Z   test_comprehensive___rmod___cpu_float64 (__main__.TestDecompCPU) ... ok (0.596s)
2023-01-11T21:35:33.0137577Z   test_comprehensive___rmul___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0137884Z   test_comprehensive___rmul___cpu_bool (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0138179Z   test_comprehensive___rmul___cpu_complex128 (__main__.TestDecompCPU) ... ok (1.071s)
2023-01-11T21:35:33.0138490Z   test_comprehensive___rmul___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.996s)
2023-01-11T21:35:33.0138801Z   test_comprehensive___rmul___cpu_float16 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0139095Z   test_comprehensive___rmul___cpu_float32 (__main__.TestDecompCPU) ... ok (0.526s)
2023-01-11T21:35:33.0139402Z   test_comprehensive___rmul___cpu_float64 (__main__.TestDecompCPU) ... ok (0.520s)
2023-01-11T21:35:33.0139748Z   test_comprehensive___rmul___cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0140172Z   test_comprehensive___rmul___cpu_int32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0140628Z   test_comprehensive___rmul___cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0141101Z   test_comprehensive___rmul___cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0141582Z   test_comprehensive___rmul___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0142076Z   test_comprehensive___ror___cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0142544Z   test_comprehensive___ror___cpu_int16 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0143037Z   test_comprehensive___ror___cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0143347Z   test_comprehensive___ror___cpu_int64 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0143633Z   test_comprehensive___ror___cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0143925Z   test_comprehensive___ror___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0144233Z   test_comprehensive___rpow___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.0144752Z   test_comprehensive___rpow___cpu_complex128 (__main__.TestDecompCPU) ... ok (1.706s)
2023-01-11T21:35:33.0145309Z   test_comprehensive___rpow___cpu_complex64 (__main__.TestDecompCPU) ... ok (1.783s)
2023-01-11T21:35:33.0145826Z   test_comprehensive___rpow___cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0146328Z   test_comprehensive___rpow___cpu_float32 (__main__.TestDecompCPU) ... ok (0.772s)
2023-01-11T21:35:33.0146793Z   test_comprehensive___rpow___cpu_float64 (__main__.TestDecompCPU) ... ok (0.721s)
2023-01-11T21:35:33.0147325Z   test_comprehensive___rpow___cpu_int16 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0147881Z   test_comprehensive___rpow___cpu_int32 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0148384Z   test_comprehensive___rpow___cpu_int64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0148853Z   test_comprehensive___rpow___cpu_int8 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0149340Z   test_comprehensive___rpow___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0149832Z   test_comprehensive___rsub___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0150339Z   test_comprehensive___rsub___cpu_complex128 (__main__.TestDecompCPU) ... ok (0.688s)
2023-01-11T21:35:33.0150981Z   test_comprehensive___rsub___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.706s)
2023-01-11T21:35:33.0151480Z   test_comprehensive___rsub___cpu_float16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0152042Z   test_comprehensive___rsub___cpu_float32 (__main__.TestDecompCPU) ... ok (0.388s)
2023-01-11T21:35:33.0152524Z   test_comprehensive___rsub___cpu_float64 (__main__.TestDecompCPU) ... ok (0.384s)
2023-01-11T21:35:33.0153019Z   test_comprehensive___rsub___cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0154072Z   test_comprehensive___rsub___cpu_int32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0154540Z   test_comprehensive___rsub___cpu_int64 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0155029Z   test_comprehensive___rsub___cpu_int8 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0155533Z   test_comprehensive___rsub___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0156024Z   test_comprehensive___rxor___cpu_bool (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0156490Z   test_comprehensive___rxor___cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0156988Z   test_comprehensive___rxor___cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0157461Z   test_comprehensive___rxor___cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0157952Z   test_comprehensive___rxor___cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0158426Z   test_comprehensive___rxor___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0158961Z   test_comprehensive__native_batch_norm_legit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0159531Z   test_comprehensive__native_batch_norm_legit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.522s)
2023-01-11T21:35:33.0160113Z   test_comprehensive__native_batch_norm_legit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.533s)
2023-01-11T21:35:33.0160758Z   test_comprehensive__softmax_backward_data_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: _softmax_backward_data in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0161411Z   test_comprehensive__softmax_backward_data_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0161972Z   test_comprehensive__softmax_backward_data_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0162496Z   test_comprehensive_abs_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0162976Z   test_comprehensive_abs_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0163600Z   test_comprehensive_abs_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0164117Z   test_comprehensive_abs_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0164599Z   test_comprehensive_abs_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0165090Z   test_comprehensive_abs_cpu_float32 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.0165588Z   test_comprehensive_abs_cpu_float64 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.0166078Z   test_comprehensive_abs_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0166549Z   test_comprehensive_abs_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0167034Z   test_comprehensive_abs_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0167510Z   test_comprehensive_abs_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0167989Z   test_comprehensive_abs_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0168486Z   test_comprehensive_acos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0168987Z   test_comprehensive_acos_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0169476Z   test_comprehensive_acos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0169977Z   test_comprehensive_acos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0170615Z   test_comprehensive_acos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0171182Z   test_comprehensive_acos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0171673Z   test_comprehensive_acos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0172145Z   test_comprehensive_acos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0172628Z   test_comprehensive_acos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0173084Z   test_comprehensive_acos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0173569Z   test_comprehensive_acos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0174070Z   test_comprehensive_acosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0174581Z   test_comprehensive_acosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0175074Z   test_comprehensive_acosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0175562Z   test_comprehensive_acosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0176071Z   test_comprehensive_acosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0176565Z   test_comprehensive_acosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0177053Z   test_comprehensive_acosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0177537Z   test_comprehensive_acosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0178017Z   test_comprehensive_acosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0178506Z   test_comprehensive_acosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0178979Z   test_comprehensive_acosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0179478Z   test_comprehensive_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0179975Z   test_comprehensive_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0180461Z   test_comprehensive_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.464s)
2023-01-11T21:35:33.0180961Z   test_comprehensive_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.180s)
2023-01-11T21:35:33.0181462Z   test_comprehensive_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.470s)
2023-01-11T21:35:33.0181961Z   test_comprehensive_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0182433Z   test_comprehensive_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.263s)
2023-01-11T21:35:33.0182908Z   test_comprehensive_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.254s)
2023-01-11T21:35:33.0183395Z   test_comprehensive_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0183862Z   test_comprehensive_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0184331Z   test_comprehensive_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.0184809Z   test_comprehensive_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0185591Z   test_comprehensive_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0186070Z   test_comprehensive_addbmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0186581Z   test_comprehensive_addbmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.437s)
2023-01-11T21:35:33.0187098Z   test_comprehensive_addbmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.491s)
2023-01-11T21:35:33.0187609Z   test_comprehensive_addbmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.359s)
2023-01-11T21:35:33.0188095Z   test_comprehensive_addbmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.351s)
2023-01-11T21:35:33.0188586Z   test_comprehensive_addbmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0189078Z   test_comprehensive_addbmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0189646Z   test_comprehensive_addbmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0190208Z   test_comprehensive_addbmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0190702Z   test_comprehensive_addbmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0191209Z   test_comprehensive_addcdiv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.087s)
2023-01-11T21:35:33.0191719Z   test_comprehensive_addcdiv_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.179s)
2023-01-11T21:35:33.0192238Z   test_comprehensive_addcdiv_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.184s)
2023-01-11T21:35:33.0192759Z   test_comprehensive_addcdiv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.601s)
2023-01-11T21:35:33.0193276Z   test_comprehensive_addcdiv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.601s)
2023-01-11T21:35:33.0193807Z   test_comprehensive_addcmul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0194340Z   test_comprehensive_addcmul_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.815s)
2023-01-11T21:35:33.0194867Z   test_comprehensive_addcmul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.843s)
2023-01-11T21:35:33.0195370Z   test_comprehensive_addcmul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.419s)
2023-01-11T21:35:33.0196416Z   test_comprehensive_addcmul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.415s)
2023-01-11T21:35:33.0196915Z   test_comprehensive_addcmul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0197422Z   test_comprehensive_addcmul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0197909Z   test_comprehensive_addcmul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0198407Z   test_comprehensive_addcmul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0198900Z   test_comprehensive_addcmul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0199391Z   test_comprehensive_addmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0199906Z   test_comprehensive_addmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0200418Z   test_comprehensive_addmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.142s)
2023-01-11T21:35:33.0200923Z   test_comprehensive_addmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0201403Z   test_comprehensive_addmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0201887Z   test_comprehensive_addmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0202372Z   test_comprehensive_addmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0202875Z   test_comprehensive_addmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0203341Z   test_comprehensive_addmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0204062Z   test_comprehensive_addmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0204602Z   test_comprehensive_addmm_decomposed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0205147Z   test_comprehensive_addmm_decomposed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0205722Z   test_comprehensive_addmm_decomposed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0206286Z   test_comprehensive_addmm_decomposed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0206837Z   test_comprehensive_addmm_decomposed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0207363Z   test_comprehensive_addmm_decomposed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0207915Z   test_comprehensive_addmm_decomposed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0208452Z   test_comprehensive_addmm_decomposed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0209115Z   test_comprehensive_addmm_decomposed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0209644Z   test_comprehensive_addmm_decomposed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0210237Z   test_comprehensive_addmv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0210773Z   test_comprehensive_addmv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.277s)
2023-01-11T21:35:33.0211342Z   test_comprehensive_addmv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.290s)
2023-01-11T21:35:33.0211912Z   test_comprehensive_addmv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.127s)
2023-01-11T21:35:33.0212481Z   test_comprehensive_addmv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.114s)
2023-01-11T21:35:33.0212899Z   test_comprehensive_addmv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0213187Z   test_comprehensive_addmv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0213485Z   test_comprehensive_addmv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0213783Z   test_comprehensive_addmv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0214069Z   test_comprehensive_addmv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0214370Z   test_comprehensive_addr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0214669Z   test_comprehensive_addr_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0214973Z   test_comprehensive_addr_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.217s)
2023-01-11T21:35:33.0215268Z   test_comprehensive_addr_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.229s)
2023-01-11T21:35:33.0215570Z   test_comprehensive_addr_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0215866Z   test_comprehensive_addr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.108s)
2023-01-11T21:35:33.0216147Z   test_comprehensive_addr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0216444Z   test_comprehensive_addr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0216738Z   test_comprehensive_addr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0217033Z   test_comprehensive_addr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0217313Z   test_comprehensive_addr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0217608Z   test_comprehensive_addr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0217905Z   test_comprehensive_all_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0218188Z   test_comprehensive_all_cpu_bool (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0218488Z   test_comprehensive_all_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0218793Z   test_comprehensive_all_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0219095Z   test_comprehensive_all_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0219377Z   test_comprehensive_all_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0219678Z   test_comprehensive_all_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0219972Z   test_comprehensive_all_cpu_int16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0220253Z   test_comprehensive_all_cpu_int32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0220542Z   test_comprehensive_all_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0220828Z   test_comprehensive_all_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0221103Z   test_comprehensive_all_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0221403Z   test_comprehensive_allclose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0221720Z   test_comprehensive_allclose_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0222086Z   test_comprehensive_allclose_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0222387Z   test_comprehensive_allclose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0222730Z   test_comprehensive_allclose_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0223043Z   test_comprehensive_allclose_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0223336Z   test_comprehensive_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.122s)
2023-01-11T21:35:33.0223635Z   test_comprehensive_amax_cpu_bool (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0223930Z   test_comprehensive_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0224227Z   test_comprehensive_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.272s)
2023-01-11T21:35:33.0224511Z   test_comprehensive_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.276s)
2023-01-11T21:35:33.0224811Z   test_comprehensive_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0225105Z   test_comprehensive_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0225385Z   test_comprehensive_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0225671Z   test_comprehensive_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0225967Z   test_comprehensive_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0226265Z   test_comprehensive_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.110s)
2023-01-11T21:35:33.0226551Z   test_comprehensive_amin_cpu_bool (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0226846Z   test_comprehensive_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.114s)
2023-01-11T21:35:33.0227142Z   test_comprehensive_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.260s)
2023-01-11T21:35:33.0227425Z   test_comprehensive_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.241s)
2023-01-11T21:35:33.0227729Z   test_comprehensive_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0228025Z   test_comprehensive_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0228321Z   test_comprehensive_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0228598Z   test_comprehensive_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0228890Z   test_comprehensive_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0229187Z   test_comprehensive_aminmax_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0229481Z   test_comprehensive_aminmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0229789Z   test_comprehensive_aminmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0230097Z   test_comprehensive_aminmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0230403Z   test_comprehensive_aminmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0230687Z   test_comprehensive_aminmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0230985Z   test_comprehensive_aminmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0231286Z   test_comprehensive_aminmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0231578Z   test_comprehensive_angle_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0231878Z   test_comprehensive_angle_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0232184Z   test_comprehensive_angle_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.290s)
2023-01-11T21:35:33.0232495Z   test_comprehensive_angle_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.292s)
2023-01-11T21:35:33.0232786Z   test_comprehensive_angle_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0233088Z   test_comprehensive_angle_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0233419Z   test_comprehensive_angle_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0233778Z   test_comprehensive_angle_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0234114Z   test_comprehensive_angle_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0234414Z   test_comprehensive_angle_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0234710Z   test_comprehensive_angle_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0234993Z   test_comprehensive_angle_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0235293Z   test_comprehensive_any_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0235590Z   test_comprehensive_any_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0235876Z   test_comprehensive_any_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0236183Z   test_comprehensive_any_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0236481Z   test_comprehensive_any_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0236779Z   test_comprehensive_any_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0237061Z   test_comprehensive_any_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0237353Z   test_comprehensive_any_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0237642Z   test_comprehensive_any_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0237918Z   test_comprehensive_any_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0238207Z   test_comprehensive_any_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0238497Z   test_comprehensive_any_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0238796Z   test_comprehensive_arange_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0239094Z   test_comprehensive_arange_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0239395Z   test_comprehensive_arange_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0239699Z   test_comprehensive_arange_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0239988Z   test_comprehensive_arange_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0240284Z   test_comprehensive_arange_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0240577Z   test_comprehensive_arange_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0240873Z   test_comprehensive_arange_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0241158Z   test_comprehensive_arange_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0241461Z   test_comprehensive_argmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0241767Z   test_comprehensive_argmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0242056Z   test_comprehensive_argmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0242356Z   test_comprehensive_argmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0242658Z   test_comprehensive_argmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0242951Z   test_comprehensive_argmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0243233Z   test_comprehensive_argmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0243674Z   test_comprehensive_argmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0243975Z   test_comprehensive_argmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0244264Z   test_comprehensive_argmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0244569Z   test_comprehensive_argmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0244936Z   test_comprehensive_argmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0245223Z   test_comprehensive_argmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0245563Z   test_comprehensive_argmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0245856Z   test_comprehensive_argmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0246150Z   test_comprehensive_argmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0246433Z   test_comprehensive_argmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0246728Z   test_comprehensive_argmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0247034Z   test_comprehensive_argsort_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0247324Z   test_comprehensive_argsort_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0247634Z   test_comprehensive_argsort_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0247937Z   test_comprehensive_argsort_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0248243Z   test_comprehensive_argsort_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0248533Z   test_comprehensive_argsort_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0248833Z   test_comprehensive_argsort_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0249130Z   test_comprehensive_argsort_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0249416Z   test_comprehensive_argsort_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0249710Z   test_comprehensive_argsort_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0250015Z   test_comprehensive_argwhere_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0250325Z   test_comprehensive_argwhere_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0250625Z   test_comprehensive_argwhere_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0250942Z   test_comprehensive_argwhere_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0251256Z   test_comprehensive_argwhere_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0251553Z   test_comprehensive_argwhere_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0251862Z   test_comprehensive_argwhere_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0252169Z   test_comprehensive_argwhere_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0252470Z   test_comprehensive_argwhere_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0252758Z   test_comprehensive_argwhere_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0253057Z   test_comprehensive_argwhere_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0253358Z   test_comprehensive_argwhere_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0253657Z   test_comprehensive_as_strided_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0253971Z   test_comprehensive_as_strided_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0254284Z   test_comprehensive_as_strided_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0254604Z   test_comprehensive_as_strided_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0254910Z   test_comprehensive_as_strided_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0255226Z   test_comprehensive_as_strided_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0255535Z   test_comprehensive_as_strided_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0255843Z   test_comprehensive_as_strided_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0256172Z   test_comprehensive_as_strided_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0256506Z   test_comprehensive_as_strided_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0256817Z   test_comprehensive_as_strided_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0257107Z   test_comprehensive_as_strided_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0257412Z   test_comprehensive_as_strided_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0257738Z   test_comprehensive_as_strided_partial_views_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0258084Z   test_comprehensive_as_strided_partial_views_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0258418Z   test_comprehensive_as_strided_partial_views_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0258774Z   test_comprehensive_as_strided_partial_views_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0259127Z   test_comprehensive_as_strided_partial_views_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0259460Z   test_comprehensive_as_strided_partial_views_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0259802Z   test_comprehensive_as_strided_partial_views_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0260144Z   test_comprehensive_as_strided_partial_views_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0260483Z   test_comprehensive_as_strided_partial_views_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0260801Z   test_comprehensive_as_strided_partial_views_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0261127Z   test_comprehensive_as_strided_partial_views_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0261462Z   test_comprehensive_as_strided_partial_views_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0261795Z   test_comprehensive_as_strided_partial_views_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0262175Z   test_comprehensive_as_strided_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0262610Z   test_comprehensive_as_strided_scatter_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0263039Z   test_comprehensive_as_strided_scatter_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0263474Z   test_comprehensive_as_strided_scatter_cpu_complex32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0263892Z   test_comprehensive_as_strided_scatter_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0264320Z   test_comprehensive_as_strided_scatter_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0264750Z   test_comprehensive_as_strided_scatter_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0265176Z   test_comprehensive_as_strided_scatter_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0265585Z   test_comprehensive_as_strided_scatter_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0266006Z   test_comprehensive_as_strided_scatter_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0266421Z   test_comprehensive_as_strided_scatter_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0266871Z   test_comprehensive_as_strided_scatter_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0267313Z   test_comprehensive_as_strided_scatter_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0267675Z   test_comprehensive_asin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0267974Z   test_comprehensive_asin_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0268277Z   test_comprehensive_asin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.330s)
2023-01-11T21:35:33.0268569Z   test_comprehensive_asin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.0268870Z   test_comprehensive_asin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.154s)
2023-01-11T21:35:33.0269169Z   test_comprehensive_asin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.0269457Z   test_comprehensive_asin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0269753Z   test_comprehensive_asin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0270046Z   test_comprehensive_asin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0270336Z   test_comprehensive_asin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0270617Z   test_comprehensive_asin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0270917Z   test_comprehensive_asinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0271218Z   test_comprehensive_asinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0271507Z   test_comprehensive_asinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.258s)
2023-01-11T21:35:33.0271815Z   test_comprehensive_asinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.259s)
2023-01-11T21:35:33.0272121Z   test_comprehensive_asinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.114s)
2023-01-11T21:35:33.0272425Z   test_comprehensive_asinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.0272714Z   test_comprehensive_asinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0273013Z   test_comprehensive_asinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0273307Z   test_comprehensive_asinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0273687Z   test_comprehensive_asinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0273993Z   test_comprehensive_asinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0274296Z   test_comprehensive_atan2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0274585Z   test_comprehensive_atan2_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0274883Z   test_comprehensive_atan2_cpu_float32 (__main__.TestDecompCPU) ... ok (1.160s)
2023-01-11T21:35:33.0275188Z   test_comprehensive_atan2_cpu_float64 (__main__.TestDecompCPU) ... ok (1.147s)
2023-01-11T21:35:33.0275488Z   test_comprehensive_atan2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0275773Z   test_comprehensive_atan2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0276067Z   test_comprehensive_atan2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0276360Z   test_comprehensive_atan2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0276641Z   test_comprehensive_atan2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0276938Z   test_comprehensive_atan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0277238Z   test_comprehensive_atan_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0277540Z   test_comprehensive_atan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.256s)
2023-01-11T21:35:33.0277835Z   test_comprehensive_atan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.259s)
2023-01-11T21:35:33.0278181Z   test_comprehensive_atan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.115s)
2023-01-11T21:35:33.0278536Z   test_comprehensive_atan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.113s)
2023-01-11T21:35:33.0278826Z   test_comprehensive_atan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0279122Z   test_comprehensive_atan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0279418Z   test_comprehensive_atan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0279708Z   test_comprehensive_atan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0279988Z   test_comprehensive_atan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0280288Z   test_comprehensive_atanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0280590Z   test_comprehensive_atanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0280883Z   test_comprehensive_atanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.294s)
2023-01-11T21:35:33.0281191Z   test_comprehensive_atanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.296s)
2023-01-11T21:35:33.0281500Z   test_comprehensive_atanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0281799Z   test_comprehensive_atanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0282086Z   test_comprehensive_atanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0282383Z   test_comprehensive_atanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0282680Z   test_comprehensive_atanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0282960Z   test_comprehensive_atanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0283257Z   test_comprehensive_atanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0283712Z   test_comprehensive_atleast_1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0284028Z   test_comprehensive_atleast_1d_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0284332Z   test_comprehensive_atleast_1d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0284653Z   test_comprehensive_atleast_1d_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0284973Z   test_comprehensive_atleast_1d_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0285274Z   test_comprehensive_atleast_1d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0285587Z   test_comprehensive_atleast_1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0285896Z   test_comprehensive_atleast_1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0286202Z   test_comprehensive_atleast_1d_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0286494Z   test_comprehensive_atleast_1d_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0286804Z   test_comprehensive_atleast_1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0287113Z   test_comprehensive_atleast_1d_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0287408Z   test_comprehensive_atleast_1d_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0287718Z   test_comprehensive_atleast_2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0288026Z   test_comprehensive_atleast_2d_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0288343Z   test_comprehensive_atleast_2d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0288647Z   test_comprehensive_atleast_2d_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0288967Z   test_comprehensive_atleast_2d_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0289280Z   test_comprehensive_atleast_2d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0289637Z   test_comprehensive_atleast_2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0289992Z   test_comprehensive_atleast_2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0290305Z   test_comprehensive_atleast_2d_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0290609Z   test_comprehensive_atleast_2d_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0290901Z   test_comprehensive_atleast_2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0291206Z   test_comprehensive_atleast_2d_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0291509Z   test_comprehensive_atleast_2d_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0291808Z   test_comprehensive_atleast_3d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0292119Z   test_comprehensive_atleast_3d_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0292433Z   test_comprehensive_atleast_3d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0292753Z   test_comprehensive_atleast_3d_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0293062Z   test_comprehensive_atleast_3d_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0293374Z   test_comprehensive_atleast_3d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0293687Z   test_comprehensive_atleast_3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0293997Z   test_comprehensive_atleast_3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0294290Z   test_comprehensive_atleast_3d_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0294594Z   test_comprehensive_atleast_3d_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0294899Z   test_comprehensive_atleast_3d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0295193Z   test_comprehensive_atleast_3d_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0295498Z   test_comprehensive_atleast_3d_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0295802Z   test_comprehensive_baddbmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0296113Z   test_comprehensive_baddbmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.334s)
2023-01-11T21:35:33.0296417Z   test_comprehensive_baddbmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.347s)
2023-01-11T21:35:33.0296729Z   test_comprehensive_baddbmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.283s)
2023-01-11T21:35:33.0297034Z   test_comprehensive_baddbmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.280s)
2023-01-11T21:35:33.0297326Z   test_comprehensive_baddbmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0297626Z   test_comprehensive_baddbmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0297929Z   test_comprehensive_baddbmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0298232Z   test_comprehensive_baddbmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0298522Z   test_comprehensive_baddbmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0298832Z   test_comprehensive_bernoulli_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0299142Z   test_comprehensive_bernoulli_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0299444Z   test_comprehensive_bernoulli_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0299754Z   test_comprehensive_bfloat16_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0300058Z   test_comprehensive_bfloat16_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0300365Z   test_comprehensive_bfloat16_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0300698Z   test_comprehensive_bfloat16_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0301009Z   test_comprehensive_bfloat16_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0301350Z   test_comprehensive_bfloat16_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0301648Z   test_comprehensive_bfloat16_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0301953Z   test_comprehensive_bfloat16_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0302253Z   test_comprehensive_bfloat16_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0302553Z   test_comprehensive_bfloat16_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0302840Z   test_comprehensive_bfloat16_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0303142Z   test_comprehensive_bfloat16_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0303441Z   test_comprehensive_bfloat16_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0303727Z   test_comprehensive_bincount_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0304024Z   test_comprehensive_bincount_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0304320Z   test_comprehensive_bincount_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0304618Z   test_comprehensive_bincount_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0304952Z   test_comprehensive_bincount_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0305257Z   test_comprehensive_bitwise_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0305567Z   test_comprehensive_bitwise_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0305862Z   test_comprehensive_bitwise_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0306178Z   test_comprehensive_bitwise_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0306484Z   test_comprehensive_bitwise_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0306790Z   test_comprehensive_bitwise_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0307092Z   test_comprehensive_bitwise_left_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0307414Z   test_comprehensive_bitwise_left_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0307733Z   test_comprehensive_bitwise_left_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0308034Z   test_comprehensive_bitwise_left_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0308351Z   test_comprehensive_bitwise_left_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0308660Z   test_comprehensive_bitwise_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0308967Z   test_comprehensive_bitwise_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0309264Z   test_comprehensive_bitwise_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0309572Z   test_comprehensive_bitwise_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0309877Z   test_comprehensive_bitwise_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0310170Z   test_comprehensive_bitwise_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0310477Z   test_comprehensive_bitwise_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0310784Z   test_comprehensive_bitwise_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0311090Z   test_comprehensive_bitwise_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0311383Z   test_comprehensive_bitwise_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0311721Z   test_comprehensive_bitwise_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0312026Z   test_comprehensive_bitwise_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0312404Z   test_comprehensive_bitwise_right_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0312732Z   test_comprehensive_bitwise_right_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0313058Z   test_comprehensive_bitwise_right_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0313381Z   test_comprehensive_bitwise_right_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0313758Z   test_comprehensive_bitwise_right_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0314078Z   test_comprehensive_bitwise_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0314386Z   test_comprehensive_bitwise_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0314684Z   test_comprehensive_bitwise_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0314991Z   test_comprehensive_bitwise_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0315298Z   test_comprehensive_bitwise_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0315606Z   test_comprehensive_bitwise_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0315905Z   test_comprehensive_block_diag_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0316218Z   test_comprehensive_block_diag_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0316531Z   test_comprehensive_block_diag_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.0316838Z   test_comprehensive_block_diag_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0317154Z   test_comprehensive_block_diag_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.304s)
2023-01-11T21:35:33.0317472Z   test_comprehensive_block_diag_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0317785Z   test_comprehensive_block_diag_cpu_float32 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.0318087Z   test_comprehensive_block_diag_cpu_float64 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0318394Z   test_comprehensive_block_diag_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0318701Z   test_comprehensive_block_diag_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0319006Z   test_comprehensive_block_diag_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0319297Z   test_comprehensive_block_diag_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0319601Z   test_comprehensive_block_diag_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0319903Z   test_comprehensive_bmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0320196Z   test_comprehensive_bmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0320499Z   test_comprehensive_bmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0320802Z   test_comprehensive_bmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0321098Z   test_comprehensive_bmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0321378Z   test_comprehensive_bmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0321668Z   test_comprehensive_bmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0321958Z   test_comprehensive_bmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0322233Z   test_comprehensive_bmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0322523Z   test_comprehensive_bmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0322820Z   test_comprehensive_bool_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0323142Z   test_comprehensive_bool_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0323575Z   test_comprehensive_bool_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0323941Z   test_comprehensive_bool_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0324250Z   test_comprehensive_bool_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0324541Z   test_comprehensive_bool_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0324838Z   test_comprehensive_bool_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0325137Z   test_comprehensive_bool_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0325421Z   test_comprehensive_bool_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0325718Z   test_comprehensive_bool_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0326012Z   test_comprehensive_bool_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0326304Z   test_comprehensive_bool_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0326585Z   test_comprehensive_bool_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0326900Z   test_comprehensive_broadcast_shapes_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0327236Z   test_comprehensive_broadcast_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0327556Z   test_comprehensive_broadcast_tensors_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0327892Z   test_comprehensive_broadcast_tensors_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0328226Z   test_comprehensive_broadcast_tensors_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0328559Z   test_comprehensive_broadcast_tensors_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0328876Z   test_comprehensive_broadcast_tensors_cpu_float32 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0329204Z   test_comprehensive_broadcast_tensors_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0329529Z   test_comprehensive_broadcast_tensors_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0329854Z   test_comprehensive_broadcast_tensors_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0330163Z   test_comprehensive_broadcast_tensors_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0330486Z   test_comprehensive_broadcast_tensors_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0330808Z   test_comprehensive_broadcast_tensors_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0331112Z   test_comprehensive_broadcast_to_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0331430Z   test_comprehensive_broadcast_to_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0331751Z   test_comprehensive_broadcast_to_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0332078Z   test_comprehensive_broadcast_to_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0332387Z   test_comprehensive_broadcast_to_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0332705Z   test_comprehensive_broadcast_to_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0333021Z   test_comprehensive_broadcast_to_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0333325Z   test_comprehensive_broadcast_to_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0333640Z   test_comprehensive_broadcast_to_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0333952Z   test_comprehensive_broadcast_to_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0334265Z   test_comprehensive_broadcast_to_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0334624Z   test_comprehensive_broadcast_to_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0334964Z   test_comprehensive_bucketize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0335280Z   test_comprehensive_bucketize_cpu_float16 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0335577Z   test_comprehensive_bucketize_cpu_float32 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.0335887Z   test_comprehensive_bucketize_cpu_float64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0336196Z   test_comprehensive_bucketize_cpu_int16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0336500Z   test_comprehensive_bucketize_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0336792Z   test_comprehensive_bucketize_cpu_int64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0337096Z   test_comprehensive_bucketize_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0337402Z   test_comprehensive_bucketize_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0337692Z   test_comprehensive_byte_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0337989Z   test_comprehensive_byte_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0338292Z   test_comprehensive_byte_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0338598Z   test_comprehensive_byte_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0338888Z   test_comprehensive_byte_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0339189Z   test_comprehensive_byte_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0339487Z   test_comprehensive_byte_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0339772Z   test_comprehensive_byte_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0340068Z   test_comprehensive_byte_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0340361Z   test_comprehensive_byte_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0340655Z   test_comprehensive_byte_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0340935Z   test_comprehensive_byte_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0341246Z   test_comprehensive_cartesian_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0341571Z   test_comprehensive_cartesian_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0341886Z   test_comprehensive_cartesian_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0342222Z   test_comprehensive_cartesian_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.080s)
2023-01-11T21:35:33.0342549Z   test_comprehensive_cartesian_prod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0342871Z   test_comprehensive_cartesian_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0343178Z   test_comprehensive_cartesian_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0343501Z   test_comprehensive_cartesian_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0343822Z   test_comprehensive_cartesian_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0344128Z   test_comprehensive_cartesian_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0344444Z   test_comprehensive_cartesian_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0344763Z   test_comprehensive_cartesian_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0345071Z   test_comprehensive_cat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0345354Z   test_comprehensive_cat_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0345690Z   test_comprehensive_cat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0345995Z   test_comprehensive_cat_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0346315Z   test_comprehensive_cat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0346617Z   test_comprehensive_cat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0346915Z   test_comprehensive_cat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.0347210Z   test_comprehensive_cat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.0347491Z   test_comprehensive_cat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0347781Z   test_comprehensive_cat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0348073Z   test_comprehensive_cat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0348349Z   test_comprehensive_cat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0348643Z   test_comprehensive_cat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0348942Z   test_comprehensive_cdist_cpu_float32 (__main__.TestDecompCPU) ... ok (3.284s)
2023-01-11T21:35:33.0349244Z   test_comprehensive_cdist_cpu_float64 (__main__.TestDecompCPU) ... ok (3.195s)
2023-01-11T21:35:33.0349541Z   test_comprehensive_cdouble_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0349848Z   test_comprehensive_cdouble_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0350157Z   test_comprehensive_cdouble_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0350463Z   test_comprehensive_cdouble_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0350777Z   test_comprehensive_cdouble_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0351088Z   test_comprehensive_cdouble_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0351392Z   test_comprehensive_cdouble_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0351684Z   test_comprehensive_cdouble_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0351990Z   test_comprehensive_cdouble_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0352289Z   test_comprehensive_cdouble_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0352575Z   test_comprehensive_cdouble_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0352874Z   test_comprehensive_cdouble_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0353170Z   test_comprehensive_cdouble_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0353468Z   test_comprehensive_ceil_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0353827Z   test_comprehensive_ceil_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0354125Z   test_comprehensive_ceil_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0354423Z   test_comprehensive_ceil_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0354706Z   test_comprehensive_ceil_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0354998Z   test_comprehensive_ceil_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0355292Z   test_comprehensive_ceil_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0355590Z   test_comprehensive_ceil_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0355880Z   test_comprehensive_cfloat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0356182Z   test_comprehensive_cfloat_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0356490Z   test_comprehensive_cfloat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0356790Z   test_comprehensive_cfloat_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0357136Z   test_comprehensive_cfloat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0357446Z   test_comprehensive_cfloat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0357798Z   test_comprehensive_cfloat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0358088Z   test_comprehensive_cfloat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0358388Z   test_comprehensive_cfloat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0358686Z   test_comprehensive_cfloat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0358969Z   test_comprehensive_cfloat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0359262Z   test_comprehensive_cfloat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0359561Z   test_comprehensive_cfloat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0359865Z   test_comprehensive_chalf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0360154Z   test_comprehensive_chalf_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0360461Z   test_comprehensive_chalf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0360772Z   test_comprehensive_chalf_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0361067Z   test_comprehensive_chalf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0361372Z   test_comprehensive_chalf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0361670Z   test_comprehensive_chalf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0361969Z   test_comprehensive_chalf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0362255Z   test_comprehensive_chalf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0362551Z   test_comprehensive_chalf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0362850Z   test_comprehensive_chalf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0363135Z   test_comprehensive_chalf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0363577Z   test_comprehensive_chalf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0363885Z   test_comprehensive_char_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0364184Z   test_comprehensive_char_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0364473Z   test_comprehensive_char_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0364784Z   test_comprehensive_char_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0365089Z   test_comprehensive_char_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0365379Z   test_comprehensive_char_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0365680Z   test_comprehensive_char_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0365985Z   test_comprehensive_char_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0366286Z   test_comprehensive_char_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0366569Z   test_comprehensive_char_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0366863Z   test_comprehensive_char_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0367156Z   test_comprehensive_char_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0367438Z   test_comprehensive_char_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0367745Z   test_comprehensive_cholesky_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.461s)
2023-01-11T21:35:33.0368064Z   test_comprehensive_cholesky_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.477s)
2023-01-11T21:35:33.0368377Z   test_comprehensive_cholesky_cpu_float32 (__main__.TestDecompCPU) ... ok (0.289s)
2023-01-11T21:35:33.0368734Z   test_comprehensive_cholesky_cpu_float64 (__main__.TestDecompCPU) ... ok (0.280s)
2023-01-11T21:35:33.0369101Z   test_comprehensive_cholesky_inverse_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.527s)
2023-01-11T21:35:33.0369440Z   test_comprehensive_cholesky_inverse_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.535s)
2023-01-11T21:35:33.0369756Z   test_comprehensive_cholesky_inverse_cpu_float32 (__main__.TestDecompCPU) ... ok (0.295s)
2023-01-11T21:35:33.0370085Z   test_comprehensive_cholesky_inverse_cpu_float64 (__main__.TestDecompCPU) ... ok (0.293s)
2023-01-11T21:35:33.0370411Z   test_comprehensive_cholesky_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.445s)
2023-01-11T21:35:33.0370739Z   test_comprehensive_cholesky_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.455s)
2023-01-11T21:35:33.0371048Z   test_comprehensive_cholesky_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.252s)
2023-01-11T21:35:33.0371371Z   test_comprehensive_cholesky_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.247s)
2023-01-11T21:35:33.0371683Z   test_comprehensive_chunk_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0371976Z   test_comprehensive_chunk_cpu_bool (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0372281Z   test_comprehensive_chunk_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.221s)
2023-01-11T21:35:33.0372590Z   test_comprehensive_chunk_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.165s)
2023-01-11T21:35:33.0372898Z   test_comprehensive_chunk_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.230s)
2023-01-11T21:35:33.0373190Z   test_comprehensive_chunk_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0373489Z   test_comprehensive_chunk_cpu_float32 (__main__.TestDecompCPU) ... ok (0.125s)
2023-01-11T21:35:33.0373789Z   test_comprehensive_chunk_cpu_float64 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.0374080Z   test_comprehensive_chunk_cpu_int16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0374377Z   test_comprehensive_chunk_cpu_int32 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0374673Z   test_comprehensive_chunk_cpu_int64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0374967Z   test_comprehensive_chunk_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0375250Z   test_comprehensive_chunk_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0375551Z   test_comprehensive_clamp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.259s)
2023-01-11T21:35:33.0375857Z   test_comprehensive_clamp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.902s)
2023-01-11T21:35:33.0376147Z   test_comprehensive_clamp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.895s)
2023-01-11T21:35:33.0376444Z   test_comprehensive_clamp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0376739Z   test_comprehensive_clamp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0377036Z   test_comprehensive_clamp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0377320Z   test_comprehensive_clamp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0377616Z   test_comprehensive_clamp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0377925Z   test_comprehensive_clamp_max_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0378223Z   test_comprehensive_clamp_max_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0378533Z   test_comprehensive_clamp_max_cpu_float16 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0378841Z   test_comprehensive_clamp_max_cpu_float32 (__main__.TestDecompCPU) ... ok (0.609s)
2023-01-11T21:35:33.0379157Z   test_comprehensive_clamp_max_cpu_float64 (__main__.TestDecompCPU) ... ok (0.600s)
2023-01-11T21:35:33.0379449Z   test_comprehensive_clamp_max_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0379789Z   test_comprehensive_clamp_max_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0380088Z   test_comprehensive_clamp_max_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0380412Z   test_comprehensive_clamp_max_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0380715Z   test_comprehensive_clamp_max_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0381023Z   test_comprehensive_clamp_min_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0381329Z   test_comprehensive_clamp_min_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0381624Z   test_comprehensive_clamp_min_cpu_float16 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0381935Z   test_comprehensive_clamp_min_cpu_float32 (__main__.TestDecompCPU) ... ok (0.606s)
2023-01-11T21:35:33.0382245Z   test_comprehensive_clamp_min_cpu_float64 (__main__.TestDecompCPU) ... ok (0.599s)
2023-01-11T21:35:33.0382543Z   test_comprehensive_clamp_min_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0382843Z   test_comprehensive_clamp_min_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0383145Z   test_comprehensive_clamp_min_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0383449Z   test_comprehensive_clamp_min_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0383741Z   test_comprehensive_clamp_min_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0384045Z   test_comprehensive_clone_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0384345Z   test_comprehensive_clone_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0384639Z   test_comprehensive_clone_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0384945Z   test_comprehensive_clone_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0385247Z   test_comprehensive_clone_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0385553Z   test_comprehensive_clone_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0385843Z   test_comprehensive_clone_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0386133Z   test_comprehensive_clone_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0386431Z   test_comprehensive_clone_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0386714Z   test_comprehensive_clone_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0387008Z   test_comprehensive_clone_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0387303Z   test_comprehensive_clone_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0387600Z   test_comprehensive_clone_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0387897Z   test_comprehensive_column_stack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0388219Z   test_comprehensive_column_stack_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0388534Z   test_comprehensive_column_stack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0388849Z   test_comprehensive_column_stack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0389172Z   test_comprehensive_column_stack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0389491Z   test_comprehensive_column_stack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0389807Z   test_comprehensive_column_stack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0390107Z   test_comprehensive_column_stack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0390417Z   test_comprehensive_column_stack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0390730Z   test_comprehensive_column_stack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0391062Z   test_comprehensive_column_stack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0391373Z   test_comprehensive_column_stack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0391717Z   test_comprehensive_column_stack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0392040Z   test_comprehensive_combinations_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.340s)
2023-01-11T21:35:33.0392346Z   test_comprehensive_combinations_cpu_bool (__main__.TestDecompCPU) ... ok (0.444s)
2023-01-11T21:35:33.0392666Z   test_comprehensive_combinations_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.316s)
2023-01-11T21:35:33.0393048Z   test_comprehensive_combinations_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.345s)
2023-01-11T21:35:33.0426402Z   test_comprehensive_combinations_cpu_float16 (__main__.TestDecompCPU) ... ok (0.343s)
2023-01-11T21:35:33.0426757Z   test_comprehensive_combinations_cpu_float32 (__main__.TestDecompCPU) ... ok (1.135s)
2023-01-11T21:35:33.0427092Z   test_comprehensive_combinations_cpu_float64 (__main__.TestDecompCPU) ... ok (1.112s)
2023-01-11T21:35:33.0427430Z   test_comprehensive_combinations_cpu_int16 (__main__.TestDecompCPU) ... ok (0.442s)
2023-01-11T21:35:33.0427741Z   test_comprehensive_combinations_cpu_int32 (__main__.TestDecompCPU) ... ok (0.443s)
2023-01-11T21:35:33.0428056Z   test_comprehensive_combinations_cpu_int64 (__main__.TestDecompCPU) ... ok (0.438s)
2023-01-11T21:35:33.0428368Z   test_comprehensive_combinations_cpu_int8 (__main__.TestDecompCPU) ... ok (0.443s)
2023-01-11T21:35:33.0428672Z   test_comprehensive_combinations_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.444s)
2023-01-11T21:35:33.0428988Z   test_comprehensive_complex_cpu_float16 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0429300Z   test_comprehensive_complex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.217s)
2023-01-11T21:35:33.0429607Z   test_comprehensive_complex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.214s)
2023-01-11T21:35:33.0429903Z   test_comprehensive_conj_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0430203Z   test_comprehensive_conj_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0430509Z   test_comprehensive_conj_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0430810Z   test_comprehensive_conj_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0431121Z   test_comprehensive_conj_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0431424Z   test_comprehensive_conj_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0431726Z   test_comprehensive_conj_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0432010Z   test_comprehensive_conj_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0432303Z   test_comprehensive_conj_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0432602Z   test_comprehensive_conj_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0432881Z   test_comprehensive_conj_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0433177Z   test_comprehensive_conj_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0433471Z   test_comprehensive_conj_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0433858Z   test_comprehensive_conj_physical_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0434165Z   test_comprehensive_conj_physical_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0434486Z   test_comprehensive_conj_physical_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0434813Z   test_comprehensive_conj_physical_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0435124Z   test_comprehensive_conj_physical_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0435577Z   test_comprehensive_conj_physical_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0435901Z   test_comprehensive_conj_physical_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0436268Z   test_comprehensive_conj_physical_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0436578Z   test_comprehensive_conj_physical_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0436896Z   test_comprehensive_conj_physical_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0437202Z   test_comprehensive_conj_physical_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0437499Z   test_comprehensive_conj_physical_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0437816Z   test_comprehensive_conj_physical_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0438140Z   test_comprehensive_constant_pad_nd_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.0438469Z   test_comprehensive_constant_pad_nd_cpu_bool (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0438785Z   test_comprehensive_constant_pad_nd_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.961s)
2023-01-11T21:35:33.0439120Z   test_comprehensive_constant_pad_nd_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.968s)
2023-01-11T21:35:33.0439448Z   test_comprehensive_constant_pad_nd_cpu_float16 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0439756Z   test_comprehensive_constant_pad_nd_cpu_float32 (__main__.TestDecompCPU) ... ok (0.552s)
2023-01-11T21:35:33.0440075Z   test_comprehensive_constant_pad_nd_cpu_float64 (__main__.TestDecompCPU) ... ok (0.539s)
2023-01-11T21:35:33.0440398Z   test_comprehensive_constant_pad_nd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0440715Z   test_comprehensive_constant_pad_nd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0441022Z   test_comprehensive_constant_pad_nd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0441342Z   test_comprehensive_constant_pad_nd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0441662Z   test_comprehensive_constant_pad_nd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0441978Z   test_comprehensive_contiguous_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0442281Z   test_comprehensive_contiguous_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0442596Z   test_comprehensive_contiguous_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0442914Z   test_comprehensive_contiguous_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0443220Z   test_comprehensive_contiguous_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0443676Z   test_comprehensive_contiguous_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0443989Z   test_comprehensive_contiguous_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0444304Z   test_comprehensive_contiguous_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0444604Z   test_comprehensive_contiguous_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0444911Z   test_comprehensive_contiguous_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0445225Z   test_comprehensive_contiguous_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0445519Z   test_comprehensive_contiguous_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0445830Z   test_comprehensive_contiguous_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0446140Z   test_comprehensive_copysign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0446454Z   test_comprehensive_copysign_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0446750Z   test_comprehensive_copysign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.0447107Z   test_comprehensive_copysign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.545s)
2023-01-11T21:35:33.0447415Z   test_comprehensive_copysign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.538s)
2023-01-11T21:35:33.0447749Z   test_comprehensive_copysign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0448059Z   test_comprehensive_copysign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0448365Z   test_comprehensive_copysign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0448672Z   test_comprehensive_copysign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0448962Z   test_comprehensive_copysign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0449273Z   test_comprehensive_corrcoef_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0449590Z   test_comprehensive_corrcoef_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.514s)
2023-01-11T21:35:33.0449898Z   test_comprehensive_corrcoef_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.538s)
2023-01-11T21:35:33.0450212Z   test_comprehensive_corrcoef_cpu_float32 (__main__.TestDecompCPU) ... ok (0.313s)
2023-01-11T21:35:33.0450526Z   test_comprehensive_corrcoef_cpu_float64 (__main__.TestDecompCPU) ... ok (0.298s)
2023-01-11T21:35:33.0450830Z   test_comprehensive_corrcoef_cpu_int16 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0451118Z   test_comprehensive_corrcoef_cpu_int32 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0451417Z   test_comprehensive_corrcoef_cpu_int64 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0451718Z   test_comprehensive_corrcoef_cpu_int8 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0452010Z   test_comprehensive_corrcoef_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0452310Z   test_comprehensive_cos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0452608Z   test_comprehensive_cos_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0452906Z   test_comprehensive_cos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0453195Z   test_comprehensive_cos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0453494Z   test_comprehensive_cos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0453792Z   test_comprehensive_cos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0454076Z   test_comprehensive_cos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0454368Z   test_comprehensive_cos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0454653Z   test_comprehensive_cos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0454940Z   test_comprehensive_cos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0455215Z   test_comprehensive_cos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0455513Z   test_comprehensive_cosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0455810Z   test_comprehensive_cosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0456097Z   test_comprehensive_cosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0456404Z   test_comprehensive_cosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0456708Z   test_comprehensive_cosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0457009Z   test_comprehensive_cosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0457293Z   test_comprehensive_cosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0457589Z   test_comprehensive_cosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0457882Z   test_comprehensive_cosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0458217Z   test_comprehensive_cosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0458513Z   test_comprehensive_cosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0458855Z   test_comprehensive_count_nonzero_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0459162Z   test_comprehensive_count_nonzero_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0459483Z   test_comprehensive_count_nonzero_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0459808Z   test_comprehensive_count_nonzero_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0460129Z   test_comprehensive_count_nonzero_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0460435Z   test_comprehensive_count_nonzero_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0460753Z   test_comprehensive_count_nonzero_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0461069Z   test_comprehensive_count_nonzero_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0461380Z   test_comprehensive_count_nonzero_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0461670Z   test_comprehensive_count_nonzero_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0461982Z   test_comprehensive_count_nonzero_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0462288Z   test_comprehensive_count_nonzero_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0462581Z   test_comprehensive_cov_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.650s)
2023-01-11T21:35:33.0462883Z   test_comprehensive_cov_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.220s)
2023-01-11T21:35:33.0463188Z   test_comprehensive_cov_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.389s)
2023-01-11T21:35:33.0463488Z   test_comprehensive_cov_cpu_float32 (__main__.TestDecompCPU) ... ok (2.225s)
2023-01-11T21:35:33.0463772Z   test_comprehensive_cov_cpu_float64 (__main__.TestDecompCPU) ... ok (2.154s)
2023-01-11T21:35:33.0464064Z   test_comprehensive_cov_cpu_int16 (__main__.TestDecompCPU) ... ok (0.957s)
2023-01-11T21:35:33.0464356Z   test_comprehensive_cov_cpu_int32 (__main__.TestDecompCPU) ... ok (0.944s)
2023-01-11T21:35:33.0464634Z   test_comprehensive_cov_cpu_int64 (__main__.TestDecompCPU) ... ok (0.941s)
2023-01-11T21:35:33.0464926Z   test_comprehensive_cov_cpu_int8 (__main__.TestDecompCPU) ... ok (0.948s)
2023-01-11T21:35:33.0465216Z   test_comprehensive_cov_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.945s)
2023-01-11T21:35:33.0465515Z   test_comprehensive_cross_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0465808Z   test_comprehensive_cross_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0466118Z   test_comprehensive_cross_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0466425Z   test_comprehensive_cross_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0466719Z   test_comprehensive_cross_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0467015Z   test_comprehensive_cross_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0467312Z   test_comprehensive_cross_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0467600Z   test_comprehensive_cross_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0467879Z   test_comprehensive_cross_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0468176Z   test_comprehensive_cross_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0468479Z   test_comprehensive_cummax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0468769Z   test_comprehensive_cummax_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0469068Z   test_comprehensive_cummax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0469373Z   test_comprehensive_cummax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0469701Z   test_comprehensive_cummax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0470034Z   test_comprehensive_cummax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0470333Z   test_comprehensive_cummax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0470629Z   test_comprehensive_cummax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0470916Z   test_comprehensive_cummax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0471218Z   test_comprehensive_cummin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0471523Z   test_comprehensive_cummin_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0471810Z   test_comprehensive_cummin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0472113Z   test_comprehensive_cummin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0472416Z   test_comprehensive_cummin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0472713Z   test_comprehensive_cummin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0472999Z   test_comprehensive_cummin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0473294Z   test_comprehensive_cummin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0473672Z   test_comprehensive_cummin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0473973Z   test_comprehensive_cumprod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.170s)
2023-01-11T21:35:33.0474285Z   test_comprehensive_cumprod_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.879s)
2023-01-11T21:35:33.0474602Z   test_comprehensive_cumprod_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.955s)
2023-01-11T21:35:33.0474917Z   test_comprehensive_cumprod_cpu_float32 (__main__.TestDecompCPU) ... ok (1.935s)
2023-01-11T21:35:33.0475215Z   test_comprehensive_cumprod_cpu_float64 (__main__.TestDecompCPU) ... ok (1.893s)
2023-01-11T21:35:33.0475520Z   test_comprehensive_cumprod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0475825Z   test_comprehensive_cumprod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0476110Z   test_comprehensive_cumprod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0476411Z   test_comprehensive_cumprod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0476714Z   test_comprehensive_cumprod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0477019Z   test_comprehensive_cumsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0477316Z   test_comprehensive_cumsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.169s)
2023-01-11T21:35:33.0477625Z   test_comprehensive_cumsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.171s)
2023-01-11T21:35:33.0477932Z   test_comprehensive_cumsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0478225Z   test_comprehensive_cumsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.0478525Z   test_comprehensive_cumsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0478822Z   test_comprehensive_cumsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0479119Z   test_comprehensive_cumsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0479402Z   test_comprehensive_cumsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0479698Z   test_comprehensive_cumsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0480022Z   test_comprehensive_cumulative_trapezoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.0480357Z   test_comprehensive_cumulative_trapezoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.585s)
2023-01-11T21:35:33.0480707Z   test_comprehensive_cumulative_trapezoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.615s)
2023-01-11T21:35:33.0481094Z   test_comprehensive_cumulative_trapezoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.362s)
2023-01-11T21:35:33.0481459Z   test_comprehensive_cumulative_trapezoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.344s)
2023-01-11T21:35:33.0481790Z   test_comprehensive_cumulative_trapezoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0482124Z   test_comprehensive_cumulative_trapezoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0482454Z   test_comprehensive_cumulative_trapezoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0482780Z   test_comprehensive_cumulative_trapezoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0483097Z   test_comprehensive_cumulative_trapezoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0483558Z   test_comprehensive_deg2rad_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0483867Z   test_comprehensive_deg2rad_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0484161Z   test_comprehensive_deg2rad_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0484470Z   test_comprehensive_deg2rad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0484777Z   test_comprehensive_deg2rad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0485079Z   test_comprehensive_deg2rad_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0485366Z   test_comprehensive_deg2rad_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0485665Z   test_comprehensive_deg2rad_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0489324Z   test_comprehensive_deg2rad_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0489619Z   test_comprehensive_deg2rad_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0489977Z   test_comprehensive_diag_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: diag in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0490359Z   test_comprehensive_diag_cpu_bool (__main__.TestDecompCPU) ... skip: diag in torch.bool not supported (0.001s)
2023-01-11T21:35:33.0490756Z   test_comprehensive_diag_cpu_complex128 (__main__.TestDecompCPU) ... skip: diag in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0491146Z   test_comprehensive_diag_cpu_complex64 (__main__.TestDecompCPU) ... skip: diag in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0491536Z   test_comprehensive_diag_cpu_float16 (__main__.TestDecompCPU) ... skip: diag in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0491917Z   test_comprehensive_diag_cpu_float32 (__main__.TestDecompCPU) ... skip: diag in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0492290Z   test_comprehensive_diag_cpu_float64 (__main__.TestDecompCPU) ... skip: diag in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0492471Z   test_comprehensive_diag_cpu_int16 (__main__.TestDecompCPU) ... skip: diag in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0492636Z   test_comprehensive_diag_cpu_int32 (__main__.TestDecompCPU) ... skip: diag in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0492813Z   test_comprehensive_diag_cpu_int64 (__main__.TestDecompCPU) ... skip: diag in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0492988Z   test_comprehensive_diag_cpu_int8 (__main__.TestDecompCPU) ... skip: diag in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0493161Z   test_comprehensive_diag_cpu_uint8 (__main__.TestDecompCPU) ... skip: diag in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0493310Z   test_comprehensive_diag_embed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0493452Z   test_comprehensive_diag_embed_cpu_bool (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0493602Z   test_comprehensive_diag_embed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.548s)
2023-01-11T21:35:33.0493846Z   test_comprehensive_diag_embed_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0493995Z   test_comprehensive_diag_embed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.553s)
2023-01-11T21:35:33.0494168Z   test_comprehensive_diag_embed_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0494312Z   test_comprehensive_diag_embed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.306s)
2023-01-11T21:35:33.0494458Z   test_comprehensive_diag_embed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.302s)
2023-01-11T21:35:33.0494601Z   test_comprehensive_diag_embed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0494742Z   test_comprehensive_diag_embed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0494879Z   test_comprehensive_diag_embed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0495020Z   test_comprehensive_diag_embed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0495165Z   test_comprehensive_diag_embed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0495299Z   test_comprehensive_diagflat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0495445Z   test_comprehensive_diagflat_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0495594Z   test_comprehensive_diagflat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0495740Z   test_comprehensive_diagflat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0495883Z   test_comprehensive_diagflat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0496023Z   test_comprehensive_diagflat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0496163Z   test_comprehensive_diagflat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0496307Z   test_comprehensive_diagflat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0496438Z   test_comprehensive_diagflat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0496579Z   test_comprehensive_diagflat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0496722Z   test_comprehensive_diagflat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0496863Z   test_comprehensive_diagflat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0497017Z   test_comprehensive_diagonal_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0497166Z   test_comprehensive_diagonal_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0497321Z   test_comprehensive_diagonal_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0497474Z   test_comprehensive_diagonal_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.0497613Z   test_comprehensive_diagonal_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.0497765Z   test_comprehensive_diagonal_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0497913Z   test_comprehensive_diagonal_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.0498069Z   test_comprehensive_diagonal_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0498216Z   test_comprehensive_diagonal_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0498357Z   test_comprehensive_diagonal_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0498504Z   test_comprehensive_diagonal_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0498649Z   test_comprehensive_diagonal_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0498791Z   test_comprehensive_diagonal_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0498925Z   test_comprehensive_diagonal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0499128Z   test_comprehensive_diagonal_cpu_bool (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0499274Z   test_comprehensive_diagonal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0499452Z   test_comprehensive_diagonal_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.0499598Z   test_comprehensive_diagonal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.136s)
2023-01-11T21:35:33.0499744Z   test_comprehensive_diagonal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0499885Z   test_comprehensive_diagonal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.080s)
2023-01-11T21:35:33.0500023Z   test_comprehensive_diagonal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0500154Z   test_comprehensive_diagonal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0500295Z   test_comprehensive_diagonal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0500440Z   test_comprehensive_diagonal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0500582Z   test_comprehensive_diagonal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0500726Z   test_comprehensive_diagonal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0500883Z   test_comprehensive_diagonal_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0501034Z   test_comprehensive_diagonal_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0501193Z   test_comprehensive_diagonal_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.122s)
2023-01-11T21:35:33.0501337Z   test_comprehensive_diagonal_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.118s)
2023-01-11T21:35:33.0501490Z   test_comprehensive_diagonal_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0501641Z   test_comprehensive_diagonal_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.713s)
2023-01-11T21:35:33.0501792Z   test_comprehensive_diagonal_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.609s)
2023-01-11T21:35:33.0501943Z   test_comprehensive_diagonal_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0502095Z   test_comprehensive_diagonal_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.137s)
2023-01-11T21:35:33.0502245Z   test_comprehensive_diagonal_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0502394Z   test_comprehensive_diagonal_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.0502542Z   test_comprehensive_diagonal_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0502669Z   test_comprehensive_diff_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.618s)
2023-01-11T21:35:33.0502806Z   test_comprehensive_diff_cpu_bool (__main__.TestDecompCPU) ... ok (1.114s)
2023-01-11T21:35:33.0502948Z   test_comprehensive_diff_cpu_complex128 (__main__.TestDecompCPU) ... ok (7.983s)
2023-01-11T21:35:33.0503091Z   test_comprehensive_diff_cpu_complex64 (__main__.TestDecompCPU) ... ok (8.331s)
2023-01-11T21:35:33.0503230Z   test_comprehensive_diff_cpu_float16 (__main__.TestDecompCPU) ... ok (0.854s)
2023-01-11T21:35:33.0503370Z   test_comprehensive_diff_cpu_float32 (__main__.TestDecompCPU) ... ok (5.895s)
2023-01-11T21:35:33.0503506Z   test_comprehensive_diff_cpu_float64 (__main__.TestDecompCPU) ... ok (4.368s)
2023-01-11T21:35:33.0503641Z   test_comprehensive_diff_cpu_int16 (__main__.TestDecompCPU) ... ok (1.114s)
2023-01-11T21:35:33.0503765Z   test_comprehensive_diff_cpu_int32 (__main__.TestDecompCPU) ... ok (1.116s)
2023-01-11T21:35:33.0503897Z   test_comprehensive_diff_cpu_int64 (__main__.TestDecompCPU) ... ok (1.239s)
2023-01-11T21:35:33.0504031Z   test_comprehensive_diff_cpu_int8 (__main__.TestDecompCPU) ... ok (1.255s)
2023-01-11T21:35:33.0504165Z   test_comprehensive_diff_cpu_uint8 (__main__.TestDecompCPU) ... ok (1.176s)
2023-01-11T21:35:33.0504343Z   test_comprehensive_digamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0504482Z   test_comprehensive_digamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0504655Z   test_comprehensive_digamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0504800Z   test_comprehensive_digamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0504928Z   test_comprehensive_digamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0505068Z   test_comprehensive_digamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0505206Z   test_comprehensive_digamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0505344Z   test_comprehensive_digamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0505483Z   test_comprehensive_digamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0505619Z   test_comprehensive_dist_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.500s)
2023-01-11T21:35:33.0505763Z   test_comprehensive_dist_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.957s)
2023-01-11T21:35:33.0505902Z   test_comprehensive_dist_cpu_complex64 (__main__.TestDecompCPU) ... ok (5.053s)
2023-01-11T21:35:33.0506030Z   test_comprehensive_dist_cpu_float16 (__main__.TestDecompCPU) ... ok (0.533s)
2023-01-11T21:35:33.0506167Z   test_comprehensive_dist_cpu_float32 (__main__.TestDecompCPU) ... ok (3.244s)
2023-01-11T21:35:33.0506302Z   test_comprehensive_dist_cpu_float64 (__main__.TestDecompCPU) ... ok (3.480s)
2023-01-11T21:35:33.0506459Z   test_comprehensive_div_floor_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0506613Z   test_comprehensive_div_floor_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0506765Z   test_comprehensive_div_floor_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.322s)
2023-01-11T21:35:33.0506917Z   test_comprehensive_div_floor_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.315s)
2023-01-11T21:35:33.0507089Z   test_comprehensive_div_floor_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0507229Z   test_comprehensive_div_floor_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0507380Z   test_comprehensive_div_floor_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0507531Z   test_comprehensive_div_floor_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0507679Z   test_comprehensive_div_floor_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0507837Z   test_comprehensive_div_no_rounding_mode_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0507991Z   test_comprehensive_div_no_rounding_mode_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0508153Z   test_comprehensive_div_no_rounding_mode_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.645s)
2023-01-11T21:35:33.0508316Z   test_comprehensive_div_no_rounding_mode_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.689s)
2023-01-11T21:35:33.0508473Z   test_comprehensive_div_no_rounding_mode_cpu_float16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0508618Z   test_comprehensive_div_no_rounding_mode_cpu_float32 (__main__.TestDecompCPU) ... ok (0.864s)
2023-01-11T21:35:33.0508777Z   test_comprehensive_div_no_rounding_mode_cpu_float64 (__main__.TestDecompCPU) ... ok (0.843s)
2023-01-11T21:35:33.0508928Z   test_comprehensive_div_no_rounding_mode_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0509078Z   test_comprehensive_div_no_rounding_mode_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0509230Z   test_comprehensive_div_no_rounding_mode_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0509384Z   test_comprehensive_div_no_rounding_mode_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0509566Z   test_comprehensive_div_no_rounding_mode_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0509721Z   test_comprehensive_div_trunc_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0509889Z   test_comprehensive_div_trunc_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0510042Z   test_comprehensive_div_trunc_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.295s)
2023-01-11T21:35:33.0510191Z   test_comprehensive_div_trunc_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.290s)
2023-01-11T21:35:33.0510340Z   test_comprehensive_div_trunc_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0510488Z   test_comprehensive_div_trunc_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0510638Z   test_comprehensive_div_trunc_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0510788Z   test_comprehensive_div_trunc_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0510937Z   test_comprehensive_div_trunc_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0511075Z   test_comprehensive_dot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0511207Z   test_comprehensive_dot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0511347Z   test_comprehensive_dot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0511484Z   test_comprehensive_dot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0511620Z   test_comprehensive_dot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0511754Z   test_comprehensive_dot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0511888Z   test_comprehensive_dot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0512020Z   test_comprehensive_dot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0512156Z   test_comprehensive_dot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0512279Z   test_comprehensive_dot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0512423Z   test_comprehensive_double_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0512559Z   test_comprehensive_double_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0512703Z   test_comprehensive_double_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0512846Z   test_comprehensive_double_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0512989Z   test_comprehensive_double_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0513129Z   test_comprehensive_double_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0513269Z   test_comprehensive_double_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0513395Z   test_comprehensive_double_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0513535Z   test_comprehensive_double_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0513755Z   test_comprehensive_double_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0513895Z   test_comprehensive_double_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0514032Z   test_comprehensive_double_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0514170Z   test_comprehensive_double_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0514313Z   test_comprehensive_dsplit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0514451Z   test_comprehensive_dsplit_cpu_bool (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0514585Z   test_comprehensive_dsplit_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.192s)
2023-01-11T21:35:33.0514729Z   test_comprehensive_dsplit_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.0514920Z   test_comprehensive_dsplit_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.212s)
2023-01-11T21:35:33.0515062Z   test_comprehensive_dsplit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0515231Z   test_comprehensive_dsplit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0515374Z   test_comprehensive_dsplit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.137s)
2023-01-11T21:35:33.0515511Z   test_comprehensive_dsplit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0515647Z   test_comprehensive_dsplit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0515772Z   test_comprehensive_dsplit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0515910Z   test_comprehensive_dsplit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0516045Z   test_comprehensive_dsplit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0516191Z   test_comprehensive_dstack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0516328Z   test_comprehensive_dstack_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0516477Z   test_comprehensive_dstack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0516620Z   test_comprehensive_dstack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0516763Z   test_comprehensive_dstack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.0516904Z   test_comprehensive_dstack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0517031Z   test_comprehensive_dstack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0517170Z   test_comprehensive_dstack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s)
2023-01-11T21:35:33.0517307Z   test_comprehensive_dstack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0517444Z   test_comprehensive_dstack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0517583Z   test_comprehensive_dstack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0517720Z   test_comprehensive_dstack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0517858Z   test_comprehensive_dstack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0517999Z   test_comprehensive_einsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.0518131Z   test_comprehensive_einsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.575s)
2023-01-11T21:35:33.0518276Z   test_comprehensive_einsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.600s)
2023-01-11T21:35:33.0518414Z   test_comprehensive_einsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.361s)
2023-01-11T21:35:33.0518552Z   test_comprehensive_einsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.345s)
2023-01-11T21:35:33.0518688Z   test_comprehensive_einsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0518825Z   test_comprehensive_einsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0518960Z   test_comprehensive_einsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0519097Z   test_comprehensive_einsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0519220Z   test_comprehensive_einsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.0519411Z   test_comprehensive_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0519594Z   test_comprehensive_empty_cpu_bool (__main__.TestDecompCPU) ... skip: empty in torch.bool not supported (0.001s)
2023-01-11T21:35:33.0519790Z   test_comprehensive_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0519980Z   test_comprehensive_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty in torch.complex32 not supported (0.001s)
2023-01-11T21:35:33.0520197Z   test_comprehensive_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0520415Z   test_comprehensive_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: empty in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0520601Z   test_comprehensive_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: empty in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0520786Z   test_comprehensive_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: empty in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0520952Z   test_comprehensive_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: empty in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0521124Z   test_comprehensive_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: empty in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0521295Z   test_comprehensive_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: empty in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0521471Z   test_comprehensive_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: empty in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0521650Z   test_comprehensive_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0521847Z   test_comprehensive_empty_like_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty_like in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0522033Z   test_comprehensive_empty_like_cpu_bool (__main__.TestDecompCPU) ... skip: empty_like in torch.bool not supported (0.001s)
2023-01-11T21:35:33.0522235Z   test_comprehensive_empty_like_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0522432Z   test_comprehensive_empty_like_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex32 not supported (0.001s)
2023-01-11T21:35:33.0522630Z   test_comprehensive_empty_like_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0522813Z   test_comprehensive_empty_like_cpu_float16 (__main__.TestDecompCPU) ... skip: empty_like in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0523003Z   test_comprehensive_empty_like_cpu_float32 (__main__.TestDecompCPU) ... skip: empty_like in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0523193Z   test_comprehensive_empty_like_cpu_float64 (__main__.TestDecompCPU) ... skip: empty_like in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0523493Z   test_comprehensive_empty_like_cpu_int16 (__main__.TestDecompCPU) ... skip: empty_like in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0523677Z   test_comprehensive_empty_like_cpu_int32 (__main__.TestDecompCPU) ... skip: empty_like in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0523861Z   test_comprehensive_empty_like_cpu_int64 (__main__.TestDecompCPU) ... skip: empty_like in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0524047Z   test_comprehensive_empty_like_cpu_int8 (__main__.TestDecompCPU) ... skip: empty_like in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0524237Z   test_comprehensive_empty_like_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty_like in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0524373Z   test_comprehensive_eq_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0524502Z   test_comprehensive_eq_cpu_bool (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0524632Z   test_comprehensive_eq_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.0524771Z   test_comprehensive_eq_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.177s)
2023-01-11T21:35:33.0524906Z   test_comprehensive_eq_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.162s)
2023-01-11T21:35:33.0525041Z   test_comprehensive_eq_cpu_float16 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0525175Z   test_comprehensive_eq_cpu_float32 (__main__.TestDecompCPU) ... ok (0.091s)
2023-01-11T21:35:33.0525357Z   test_comprehensive_eq_cpu_float64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0525491Z   test_comprehensive_eq_cpu_int16 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0525664Z   test_comprehensive_eq_cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0525786Z   test_comprehensive_eq_cpu_int64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0525918Z   test_comprehensive_eq_cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0526048Z   test_comprehensive_eq_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0526186Z   test_comprehensive_equal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0526319Z   test_comprehensive_equal_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0526465Z   test_comprehensive_equal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0526610Z   test_comprehensive_equal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0526749Z   test_comprehensive_equal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0526880Z   test_comprehensive_equal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527016Z   test_comprehensive_equal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527151Z   test_comprehensive_equal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527282Z   test_comprehensive_equal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527417Z   test_comprehensive_equal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527553Z   test_comprehensive_equal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527687Z   test_comprehensive_equal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0527826Z   test_comprehensive_erf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0527950Z   test_comprehensive_erf_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0528085Z   test_comprehensive_erf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.0528218Z   test_comprehensive_erf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0528354Z   test_comprehensive_erf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0528485Z   test_comprehensive_erf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0528616Z   test_comprehensive_erf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0528748Z   test_comprehensive_erf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0528876Z   test_comprehensive_erf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0529004Z   test_comprehensive_erfc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0529130Z   test_comprehensive_erfc_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0529265Z   test_comprehensive_erfc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0529402Z   test_comprehensive_erfc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0529538Z   test_comprehensive_erfc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0529672Z   test_comprehensive_erfc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0529806Z   test_comprehensive_erfc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0529940Z   test_comprehensive_erfc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0530062Z   test_comprehensive_erfc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0530202Z   test_comprehensive_erfinv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0530338Z   test_comprehensive_erfinv_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0530522Z   test_comprehensive_erfinv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.0530662Z   test_comprehensive_erfinv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0530829Z   test_comprehensive_erfinv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0530966Z   test_comprehensive_erfinv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0531100Z   test_comprehensive_erfinv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0531224Z   test_comprehensive_erfinv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0531357Z   test_comprehensive_erfinv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0531497Z   test_comprehensive_exp2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0531632Z   test_comprehensive_exp2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0531767Z   test_comprehensive_exp2_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0531907Z   test_comprehensive_exp2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0532042Z   test_comprehensive_exp2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0532175Z   test_comprehensive_exp2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0532297Z   test_comprehensive_exp2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0532427Z   test_comprehensive_exp2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0532558Z   test_comprehensive_exp2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0532692Z   test_comprehensive_exp2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0532828Z   test_comprehensive_exp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0532961Z   test_comprehensive_exp_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0533103Z   test_comprehensive_exp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0533239Z   test_comprehensive_exp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0533365Z   test_comprehensive_exp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0533502Z   test_comprehensive_exp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0533634Z   test_comprehensive_exp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0533764Z   test_comprehensive_exp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0533894Z   test_comprehensive_exp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0534026Z   test_comprehensive_exp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0534157Z   test_comprehensive_exp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0534304Z   test_comprehensive_expand_as_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0534434Z   test_comprehensive_expand_as_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0534584Z   test_comprehensive_expand_as_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0534727Z   test_comprehensive_expand_as_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0534872Z   test_comprehensive_expand_as_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0535011Z   test_comprehensive_expand_as_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0535147Z   test_comprehensive_expand_as_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0535287Z   test_comprehensive_expand_as_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0535427Z   test_comprehensive_expand_as_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0535553Z   test_comprehensive_expand_as_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0535720Z   test_comprehensive_expand_as_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0535856Z   test_comprehensive_expand_as_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0536023Z   test_comprehensive_expand_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0536163Z   test_comprehensive_expand_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0536306Z   test_comprehensive_expand_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.136s)
2023-01-11T21:35:33.0536451Z   test_comprehensive_expand_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.0536591Z   test_comprehensive_expand_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0536730Z   test_comprehensive_expand_cpu_float32 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0536858Z   test_comprehensive_expand_cpu_float64 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0536997Z   test_comprehensive_expand_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0537132Z   test_comprehensive_expand_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0537272Z   test_comprehensive_expand_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0537408Z   test_comprehensive_expand_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0537544Z   test_comprehensive_expand_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0537678Z   test_comprehensive_expm1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0537815Z   test_comprehensive_expm1_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0537942Z   test_comprehensive_expm1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.091s)
2023-01-11T21:35:33.0538078Z   test_comprehensive_expm1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0538211Z   test_comprehensive_expm1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0538344Z   test_comprehensive_expm1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0538483Z   test_comprehensive_expm1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0538616Z   test_comprehensive_expm1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0538753Z   test_comprehensive_expm1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0538886Z   test_comprehensive_eye_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0539015Z   test_comprehensive_eye_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0539145Z   test_comprehensive_eye_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0539273Z   test_comprehensive_eye_cpu_float16 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0539406Z   test_comprehensive_eye_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0539536Z   test_comprehensive_eye_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0539669Z   test_comprehensive_eye_cpu_int16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0539804Z   test_comprehensive_eye_cpu_int32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0539932Z   test_comprehensive_eye_cpu_int64 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0540053Z   test_comprehensive_eye_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0540185Z   test_comprehensive_eye_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0540315Z   test_comprehensive_fft_fft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.079s)
2023-01-11T21:35:33.0540457Z   test_comprehensive_fft_fft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.0540600Z   test_comprehensive_fft_fft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.110s)
2023-01-11T21:35:33.0540738Z   test_comprehensive_fft_fft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.155s)
2023-01-11T21:35:33.0540908Z   test_comprehensive_fft_fft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.154s)
2023-01-11T21:35:33.0541075Z   test_comprehensive_fft_fft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0541202Z   test_comprehensive_fft_fft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.112s)
2023-01-11T21:35:33.0541338Z   test_comprehensive_fft_fft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.0541474Z   test_comprehensive_fft_fft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0541611Z   test_comprehensive_fft_fft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0541746Z   test_comprehensive_fft_fft_cpu_bool (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0541892Z   test_comprehensive_fft_fft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0542035Z   test_comprehensive_fft_fft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0542177Z   test_comprehensive_fft_fft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0542306Z   test_comprehensive_fft_fft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0542443Z   test_comprehensive_fft_fft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.077s)
2023-01-11T21:35:33.0542577Z   test_comprehensive_fft_fft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.084s)
2023-01-11T21:35:33.0542710Z   test_comprehensive_fft_fft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0542847Z   test_comprehensive_fft_fft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0542982Z   test_comprehensive_fft_fft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0543116Z   test_comprehensive_fft_fftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0543262Z   test_comprehensive_fft_fftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.0543400Z   test_comprehensive_fft_fftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.126s)
2023-01-11T21:35:33.0543541Z   test_comprehensive_fft_fftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.202s)
2023-01-11T21:35:33.0543679Z   test_comprehensive_fft_fftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.194s)
2023-01-11T21:35:33.0543818Z   test_comprehensive_fft_fftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0543955Z   test_comprehensive_fft_fftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.0544091Z   test_comprehensive_fft_fftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.0544228Z   test_comprehensive_fft_fftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0544363Z   test_comprehensive_fft_fftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0544501Z   test_comprehensive_fft_fftshift_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0544646Z   test_comprehensive_fft_fftshift_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0544796Z   test_comprehensive_fft_fftshift_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.0544948Z   test_comprehensive_fft_fftshift_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0545093Z   test_comprehensive_fft_fftshift_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0545240Z   test_comprehensive_fft_fftshift_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0545381Z   test_comprehensive_fft_fftshift_cpu_float32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0545526Z   test_comprehensive_fft_fftshift_cpu_float64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0545664Z   test_comprehensive_fft_fftshift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0545793Z   test_comprehensive_fft_fftshift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0545960Z   test_comprehensive_fft_fftshift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0546101Z   test_comprehensive_fft_fftshift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0546274Z   test_comprehensive_fft_fftshift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0546410Z   test_comprehensive_fft_hfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.175s)
2023-01-11T21:35:33.0546555Z   test_comprehensive_fft_hfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.481s)
2023-01-11T21:35:33.0546697Z   test_comprehensive_fft_hfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.473s)
2023-01-11T21:35:33.0546834Z   test_comprehensive_fft_hfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.540s)
2023-01-11T21:35:33.0546962Z   test_comprehensive_fft_hfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.508s)
2023-01-11T21:35:33.0547097Z   test_comprehensive_fft_hfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.198s)
2023-01-11T21:35:33.0547235Z   test_comprehensive_fft_hfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.198s)
2023-01-11T21:35:33.0547371Z   test_comprehensive_fft_hfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.198s)
2023-01-11T21:35:33.0547511Z   test_comprehensive_fft_hfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.197s)
2023-01-11T21:35:33.0547649Z   test_comprehensive_fft_hfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.197s)
2023-01-11T21:35:33.0547787Z   test_comprehensive_fft_hfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.0547933Z   test_comprehensive_fft_hfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.379s)
2023-01-11T21:35:33.0548064Z   test_comprehensive_fft_hfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.384s)
2023-01-11T21:35:33.0548203Z   test_comprehensive_fft_hfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.566s)
2023-01-11T21:35:33.0548340Z   test_comprehensive_fft_hfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.405s)
2023-01-11T21:35:33.0548482Z   test_comprehensive_fft_hfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.351s)
2023-01-11T21:35:33.0548618Z   test_comprehensive_fft_hfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.179s)
2023-01-11T21:35:33.0548754Z   test_comprehensive_fft_hfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.180s)
2023-01-11T21:35:33.0548889Z   test_comprehensive_fft_hfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.179s)
2023-01-11T21:35:33.0549027Z   test_comprehensive_fft_hfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.175s)
2023-01-11T21:35:33.0549152Z   test_comprehensive_fft_hfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.184s)
2023-01-11T21:35:33.0549298Z   test_comprehensive_fft_hfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.507s)
2023-01-11T21:35:33.0549442Z   test_comprehensive_fft_hfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.515s)
2023-01-11T21:35:33.0549583Z   test_comprehensive_fft_hfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.538s)
2023-01-11T21:35:33.0549717Z   test_comprehensive_fft_hfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.532s)
2023-01-11T21:35:33.0549858Z   test_comprehensive_fft_hfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.232s)
2023-01-11T21:35:33.0549997Z   test_comprehensive_fft_hfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.231s)
2023-01-11T21:35:33.0550134Z   test_comprehensive_fft_hfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.231s)
2023-01-11T21:35:33.0550273Z   test_comprehensive_fft_hfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.233s)
2023-01-11T21:35:33.0550401Z   test_comprehensive_fft_hfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.230s)
2023-01-11T21:35:33.0550539Z   test_comprehensive_fft_ifft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0550685Z   test_comprehensive_fft_ifft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.109s)
2023-01-11T21:35:33.0550830Z   test_comprehensive_fft_ifft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.110s)
2023-01-11T21:35:33.0550969Z   test_comprehensive_fft_ifft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.0551153Z   test_comprehensive_fft_ifft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.0551291Z   test_comprehensive_fft_ifft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0551458Z   test_comprehensive_fft_ifft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0551586Z   test_comprehensive_fft_ifft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0551723Z   test_comprehensive_fft_ifft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0551856Z   test_comprehensive_fft_ifft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0551994Z   test_comprehensive_fft_ifft_cpu_bool (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0552137Z   test_comprehensive_fft_ifft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0552278Z   test_comprehensive_fft_ifft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0552418Z   test_comprehensive_fft_ifft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.315s)
2023-01-11T21:35:33.0552554Z   test_comprehensive_fft_ifft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.313s)
2023-01-11T21:35:33.0552683Z   test_comprehensive_fft_ifft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0552819Z   test_comprehensive_fft_ifft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0552951Z   test_comprehensive_fft_ifft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0553090Z   test_comprehensive_fft_ifft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0553225Z   test_comprehensive_fft_ifft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0553357Z   test_comprehensive_fft_ifftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.0553499Z   test_comprehensive_fft_ifftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.109s)
2023-01-11T21:35:33.0553749Z   test_comprehensive_fft_ifftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.0553882Z   test_comprehensive_fft_ifftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.171s)
2023-01-11T21:35:33.0554023Z   test_comprehensive_fft_ifftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.170s)
2023-01-11T21:35:33.0554160Z   test_comprehensive_fft_ifftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0554297Z   test_comprehensive_fft_ifftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0554431Z   test_comprehensive_fft_ifftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.0554569Z   test_comprehensive_fft_ifftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0554706Z   test_comprehensive_fft_ifftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0554855Z   test_comprehensive_fft_ifftshift_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0555003Z   test_comprehensive_fft_ifftshift_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0555144Z   test_comprehensive_fft_ifftshift_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.0555297Z   test_comprehensive_fft_ifftshift_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0555447Z   test_comprehensive_fft_ifftshift_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0555597Z   test_comprehensive_fft_ifftshift_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0555743Z   test_comprehensive_fft_ifftshift_cpu_float32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0555890Z   test_comprehensive_fft_ifftshift_cpu_float64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0556031Z   test_comprehensive_fft_ifftshift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0556168Z   test_comprehensive_fft_ifftshift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0556332Z   test_comprehensive_fft_ifftshift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0556472Z   test_comprehensive_fft_ifftshift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0556639Z   test_comprehensive_fft_ifftshift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0556777Z   test_comprehensive_fft_ihfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.0556916Z   test_comprehensive_fft_ihfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.189s)
2023-01-11T21:35:33.0557054Z   test_comprehensive_fft_ihfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.187s)
2023-01-11T21:35:33.0557194Z   test_comprehensive_fft_ihfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0557327Z   test_comprehensive_fft_ihfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0557450Z   test_comprehensive_fft_ihfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0557587Z   test_comprehensive_fft_ihfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0557725Z   test_comprehensive_fft_ihfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0557866Z   test_comprehensive_fft_ihfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.0558006Z   test_comprehensive_fft_ihfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.332s)
2023-01-11T21:35:33.0558141Z   test_comprehensive_fft_ihfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.327s)
2023-01-11T21:35:33.0558277Z   test_comprehensive_fft_ihfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0558409Z   test_comprehensive_fft_ihfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0558535Z   test_comprehensive_fft_ihfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0558671Z   test_comprehensive_fft_ihfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0558806Z   test_comprehensive_fft_ihfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0558942Z   test_comprehensive_fft_ihfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0559083Z   test_comprehensive_fft_ihfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.303s)
2023-01-11T21:35:33.0559220Z   test_comprehensive_fft_ihfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.300s)
2023-01-11T21:35:33.0559357Z   test_comprehensive_fft_ihfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0559490Z   test_comprehensive_fft_ihfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0559620Z   test_comprehensive_fft_ihfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0559747Z   test_comprehensive_fft_ihfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0559880Z   test_comprehensive_fft_ihfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0560016Z   test_comprehensive_fft_irfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0560162Z   test_comprehensive_fft_irfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.279s)
2023-01-11T21:35:33.0560306Z   test_comprehensive_fft_irfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.280s)
2023-01-11T21:35:33.0560445Z   test_comprehensive_fft_irfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.327s)
2023-01-11T21:35:33.0560581Z   test_comprehensive_fft_irfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.321s)
2023-01-11T21:35:33.0560712Z   test_comprehensive_fft_irfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0560840Z   test_comprehensive_fft_irfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0560970Z   test_comprehensive_fft_irfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0561102Z   test_comprehensive_fft_irfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.0561266Z   test_comprehensive_fft_irfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.108s)
2023-01-11T21:35:33.0561401Z   test_comprehensive_fft_irfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.0561579Z   test_comprehensive_fft_irfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.238s)
2023-01-11T21:35:33.0561720Z   test_comprehensive_fft_irfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.271s)
2023-01-11T21:35:33.0561861Z   test_comprehensive_fft_irfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.305s)
2023-01-11T21:35:33.0561991Z   test_comprehensive_fft_irfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.308s)
2023-01-11T21:35:33.0562126Z   test_comprehensive_fft_irfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0562259Z   test_comprehensive_fft_irfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0562391Z   test_comprehensive_fft_irfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0562524Z   test_comprehensive_fft_irfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.0562660Z   test_comprehensive_fft_irfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0562795Z   test_comprehensive_fft_irfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.0562940Z   test_comprehensive_fft_irfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.321s)
2023-01-11T21:35:33.0563074Z   test_comprehensive_fft_irfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.320s)
2023-01-11T21:35:33.0563215Z   test_comprehensive_fft_irfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.381s)
2023-01-11T21:35:33.0563585Z   test_comprehensive_fft_irfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.374s)
2023-01-11T21:35:33.0563728Z   test_comprehensive_fft_irfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0563861Z   test_comprehensive_fft_irfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.0563990Z   test_comprehensive_fft_irfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0564127Z   test_comprehensive_fft_irfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0564262Z   test_comprehensive_fft_irfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.0564394Z   test_comprehensive_fft_rfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.0564526Z   test_comprehensive_fft_rfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.162s)
2023-01-11T21:35:33.0564661Z   test_comprehensive_fft_rfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.160s)
2023-01-11T21:35:33.0564794Z   test_comprehensive_fft_rfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0564923Z   test_comprehensive_fft_rfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0565057Z   test_comprehensive_fft_rfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0565190Z   test_comprehensive_fft_rfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0565325Z   test_comprehensive_fft_rfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0565461Z   test_comprehensive_fft_rfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0565593Z   test_comprehensive_fft_rfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.0565729Z   test_comprehensive_fft_rfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.0565861Z   test_comprehensive_fft_rfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0565993Z   test_comprehensive_fft_rfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0566127Z   test_comprehensive_fft_rfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0566258Z   test_comprehensive_fft_rfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0566391Z   test_comprehensive_fft_rfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0566581Z   test_comprehensive_fft_rfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0566714Z   test_comprehensive_fft_rfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.187s)
2023-01-11T21:35:33.0566891Z   test_comprehensive_fft_rfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.184s)
2023-01-11T21:35:33.0567028Z   test_comprehensive_fft_rfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0567164Z   test_comprehensive_fft_rfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0567296Z   test_comprehensive_fft_rfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0567431Z   test_comprehensive_fft_rfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0567564Z   test_comprehensive_fft_rfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.0567699Z   test_comprehensive_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0567824Z   test_comprehensive_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0567957Z   test_comprehensive_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0568092Z   test_comprehensive_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0568225Z   test_comprehensive_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0568357Z   test_comprehensive_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0568491Z   test_comprehensive_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0568620Z   test_comprehensive_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0568751Z   test_comprehensive_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0568875Z   test_comprehensive_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0569005Z   test_comprehensive_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0569136Z   test_comprehensive_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0569269Z   test_comprehensive_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0569409Z   test_comprehensive_flatten_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0569539Z   test_comprehensive_flatten_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0569680Z   test_comprehensive_flatten_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0569822Z   test_comprehensive_flatten_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0569950Z   test_comprehensive_flatten_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0570085Z   test_comprehensive_flatten_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0570222Z   test_comprehensive_flatten_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0570357Z   test_comprehensive_flatten_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0570493Z   test_comprehensive_flatten_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0570628Z   test_comprehensive_flatten_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0570762Z   test_comprehensive_flatten_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0570897Z   test_comprehensive_flatten_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0571027Z   test_comprehensive_flatten_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0571153Z   test_comprehensive_flip_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0571284Z   test_comprehensive_flip_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0571415Z   test_comprehensive_flip_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.258s)
2023-01-11T21:35:33.0571552Z   test_comprehensive_flip_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.260s)
2023-01-11T21:35:33.0571717Z   test_comprehensive_flip_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0571879Z   test_comprehensive_flip_cpu_float32 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.0572013Z   test_comprehensive_flip_cpu_float64 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.0572145Z   test_comprehensive_flip_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0572268Z   test_comprehensive_flip_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0572397Z   test_comprehensive_flip_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0572525Z   test_comprehensive_flip_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0572653Z   test_comprehensive_flip_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0572790Z   test_comprehensive_fliplr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0572924Z   test_comprehensive_fliplr_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0573063Z   test_comprehensive_fliplr_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0573201Z   test_comprehensive_fliplr_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0573329Z   test_comprehensive_fliplr_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0573465Z   test_comprehensive_fliplr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0573600Z   test_comprehensive_fliplr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0573731Z   test_comprehensive_fliplr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0573863Z   test_comprehensive_fliplr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0573993Z   test_comprehensive_fliplr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0574129Z   test_comprehensive_fliplr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0574260Z   test_comprehensive_fliplr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0574395Z   test_comprehensive_flipud_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0574527Z   test_comprehensive_flipud_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0574667Z   test_comprehensive_flipud_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0574807Z   test_comprehensive_flipud_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0574944Z   test_comprehensive_flipud_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0575079Z   test_comprehensive_flipud_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0575214Z   test_comprehensive_flipud_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0575343Z   test_comprehensive_flipud_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0575472Z   test_comprehensive_flipud_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0575602Z   test_comprehensive_flipud_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0575737Z   test_comprehensive_flipud_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0575870Z   test_comprehensive_flipud_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0576002Z   test_comprehensive_float_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0576132Z   test_comprehensive_float_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0576269Z   test_comprehensive_float_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0576405Z   test_comprehensive_float_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0576534Z   test_comprehensive_float_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0576817Z   test_comprehensive_float_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0576952Z   test_comprehensive_float_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0577145Z   test_comprehensive_float_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0577280Z   test_comprehensive_float_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0577411Z   test_comprehensive_float_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0577539Z   test_comprehensive_float_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0577669Z   test_comprehensive_float_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0577791Z   test_comprehensive_float_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0577936Z   test_comprehensive_float_power_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.0578072Z   test_comprehensive_float_power_cpu_bool (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.0578221Z   test_comprehensive_float_power_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.769s)
2023-01-11T21:35:33.0578365Z   test_comprehensive_float_power_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.038s)
2023-01-11T21:35:33.0578508Z   test_comprehensive_float_power_cpu_float16 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.0578645Z   test_comprehensive_float_power_cpu_float32 (__main__.TestDecompCPU) ... ok (1.522s)
2023-01-11T21:35:33.0578780Z   test_comprehensive_float_power_cpu_float64 (__main__.TestDecompCPU) ... ok (1.382s)
2023-01-11T21:35:33.0578910Z   test_comprehensive_float_power_cpu_int16 (__main__.TestDecompCPU) ... ok (0.159s)
2023-01-11T21:35:33.0579046Z   test_comprehensive_float_power_cpu_int32 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.0579185Z   test_comprehensive_float_power_cpu_int64 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.0579320Z   test_comprehensive_float_power_cpu_int8 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.0579459Z   test_comprehensive_float_power_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.0579596Z   test_comprehensive_floor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0579732Z   test_comprehensive_floor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0579864Z   test_comprehensive_floor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0579993Z   test_comprehensive_floor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0580117Z   test_comprehensive_floor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0580244Z   test_comprehensive_floor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0580377Z   test_comprehensive_floor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0580505Z   test_comprehensive_floor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0580653Z   test_comprehensive_floor_divide_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0580796Z   test_comprehensive_floor_divide_cpu_float16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0580942Z   test_comprehensive_floor_divide_cpu_float32 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.0581082Z   test_comprehensive_floor_divide_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.0581214Z   test_comprehensive_floor_divide_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0581348Z   test_comprehensive_floor_divide_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0581487Z   test_comprehensive_floor_divide_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0581624Z   test_comprehensive_floor_divide_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0581760Z   test_comprehensive_floor_divide_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0581927Z   test_comprehensive_fmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.217s)
2023-01-11T21:35:33.0582057Z   test_comprehensive_fmax_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0582219Z   test_comprehensive_fmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.221s)
2023-01-11T21:35:33.0582346Z   test_comprehensive_fmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.809s)
2023-01-11T21:35:33.0582480Z   test_comprehensive_fmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.797s)
2023-01-11T21:35:33.0582611Z   test_comprehensive_fmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0582743Z   test_comprehensive_fmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0582871Z   test_comprehensive_fmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0582999Z   test_comprehensive_fmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0583134Z   test_comprehensive_fmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0583269Z   test_comprehensive_fmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.218s)
2023-01-11T21:35:33.0583394Z   test_comprehensive_fmin_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0583538Z   test_comprehensive_fmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.223s)
2023-01-11T21:35:33.0583668Z   test_comprehensive_fmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.807s)
2023-01-11T21:35:33.0583792Z   test_comprehensive_fmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.800s)
2023-01-11T21:35:33.0583918Z   test_comprehensive_fmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0584047Z   test_comprehensive_fmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0584171Z   test_comprehensive_fmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0584298Z   test_comprehensive_fmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0584428Z   test_comprehensive_fmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0584561Z   test_comprehensive_fmod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0584698Z   test_comprehensive_fmod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0584823Z   test_comprehensive_fmod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.525s)
2023-01-11T21:35:33.0584952Z   test_comprehensive_fmod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.508s)
2023-01-11T21:35:33.0585082Z   test_comprehensive_fmod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0585212Z   test_comprehensive_fmod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0585337Z   test_comprehensive_fmod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0585469Z   test_comprehensive_fmod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0585597Z   test_comprehensive_fmod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0585733Z   test_comprehensive_frac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0585859Z   test_comprehensive_frac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0585990Z   test_comprehensive_frac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0586123Z   test_comprehensive_frac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0586257Z   test_comprehensive_frexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0586395Z   test_comprehensive_frexp_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0586526Z   test_comprehensive_frexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0586661Z   test_comprehensive_frexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0586792Z   test_comprehensive_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0586957Z   test_comprehensive_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0587095Z   test_comprehensive_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0587261Z   test_comprehensive_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0587399Z   test_comprehensive_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0587533Z   test_comprehensive_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0587666Z   test_comprehensive_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0587797Z   test_comprehensive_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0587925Z   test_comprehensive_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0588048Z   test_comprehensive_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0588178Z   test_comprehensive_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0588307Z   test_comprehensive_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0588438Z   test_comprehensive_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0588578Z   test_comprehensive_full_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0588714Z   test_comprehensive_full_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0588859Z   test_comprehensive_full_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0588998Z   test_comprehensive_full_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589128Z   test_comprehensive_full_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589265Z   test_comprehensive_full_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589396Z   test_comprehensive_full_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589535Z   test_comprehensive_full_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589671Z   test_comprehensive_full_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589809Z   test_comprehensive_full_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0589940Z   test_comprehensive_full_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0590077Z   test_comprehensive_full_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0590213Z   test_comprehensive_gather_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0590340Z   test_comprehensive_gather_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0590480Z   test_comprehensive_gather_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0590622Z   test_comprehensive_gather_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0590758Z   test_comprehensive_gather_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0590895Z   test_comprehensive_gather_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0591028Z   test_comprehensive_gather_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0591162Z   test_comprehensive_gather_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0591293Z   test_comprehensive_gather_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0591417Z   test_comprehensive_gather_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0591554Z   test_comprehensive_gather_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0591681Z   test_comprehensive_gather_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0591810Z   test_comprehensive_gcd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0591974Z   test_comprehensive_gcd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0592105Z   test_comprehensive_gcd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0592262Z   test_comprehensive_gcd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0592390Z   test_comprehensive_gcd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0592515Z   test_comprehensive_ge_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0592646Z   test_comprehensive_ge_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0592776Z   test_comprehensive_ge_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0592909Z   test_comprehensive_ge_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0593041Z   test_comprehensive_ge_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0593168Z   test_comprehensive_ge_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0593301Z   test_comprehensive_ge_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0593424Z   test_comprehensive_ge_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0593546Z   test_comprehensive_ge_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0593739Z   test_comprehensive_ge_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0593883Z   test_comprehensive_geqrf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0594021Z   test_comprehensive_geqrf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0594154Z   test_comprehensive_geqrf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0594288Z   test_comprehensive_geqrf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0594434Z   test_comprehensive_gradient_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.413s)
2023-01-11T21:35:33.0594578Z   test_comprehensive_gradient_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.406s)
2023-01-11T21:35:33.0594716Z   test_comprehensive_gradient_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.537s)
2023-01-11T21:35:33.0594855Z   test_comprehensive_gradient_cpu_float16 (__main__.TestDecompCPU) ... ok (0.432s)
2023-01-11T21:35:33.0594992Z   test_comprehensive_gradient_cpu_float32 (__main__.TestDecompCPU) ... ok (2.136s)
2023-01-11T21:35:33.0595124Z   test_comprehensive_gradient_cpu_float64 (__main__.TestDecompCPU) ... ok (2.046s)
2023-01-11T21:35:33.0595259Z   test_comprehensive_gradient_cpu_int16 (__main__.TestDecompCPU) ... ok (0.653s)
2023-01-11T21:35:33.0595400Z   test_comprehensive_gradient_cpu_int32 (__main__.TestDecompCPU) ... ok (0.654s)
2023-01-11T21:35:33.0595538Z   test_comprehensive_gradient_cpu_int64 (__main__.TestDecompCPU) ... ok (0.646s)
2023-01-11T21:35:33.0595673Z   test_comprehensive_gradient_cpu_int8 (__main__.TestDecompCPU) ... ok (0.656s)
2023-01-11T21:35:33.0595812Z   test_comprehensive_grid_sampler_2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.750s)
2023-01-11T21:35:33.0595963Z   test_comprehensive_grid_sampler_2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.728s)
2023-01-11T21:35:33.0596097Z   test_comprehensive_gt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0596224Z   test_comprehensive_gt_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0596358Z   test_comprehensive_gt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0596491Z   test_comprehensive_gt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0596618Z   test_comprehensive_gt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0596745Z   test_comprehensive_gt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0596865Z   test_comprehensive_gt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0596995Z   test_comprehensive_gt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0597155Z   test_comprehensive_gt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0597285Z   test_comprehensive_gt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0597459Z   test_comprehensive_half_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0597592Z   test_comprehensive_half_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0597729Z   test_comprehensive_half_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0597871Z   test_comprehensive_half_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0597998Z   test_comprehensive_half_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0598133Z   test_comprehensive_half_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0598263Z   test_comprehensive_half_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0598395Z   test_comprehensive_half_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0598526Z   test_comprehensive_half_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0598657Z   test_comprehensive_half_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0598788Z   test_comprehensive_half_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0598918Z   test_comprehensive_half_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0599054Z   test_comprehensive_heaviside_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0599189Z   test_comprehensive_heaviside_cpu_bool (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0599333Z   test_comprehensive_heaviside_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0599468Z   test_comprehensive_heaviside_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.0599606Z   test_comprehensive_heaviside_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s)
2023-01-11T21:35:33.0599748Z   test_comprehensive_heaviside_cpu_int16 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0599889Z   test_comprehensive_heaviside_cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0600025Z   test_comprehensive_heaviside_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0600155Z   test_comprehensive_heaviside_cpu_int8 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0600294Z   test_comprehensive_heaviside_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0600428Z   test_comprehensive_histc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0600565Z   test_comprehensive_histc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0600696Z   test_comprehensive_histc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0600838Z   test_comprehensive_histogram_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0600975Z   test_comprehensive_histogram_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0601122Z   test_comprehensive_histogramdd_cpu_float32 (__main__.TestDecompCPU) ... ok (0.100s)
2023-01-11T21:35:33.0601265Z   test_comprehensive_histogramdd_cpu_float64 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.0601396Z   test_comprehensive_hsplit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0601528Z   test_comprehensive_hsplit_cpu_bool (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0601668Z   test_comprehensive_hsplit_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.0601806Z   test_comprehensive_hsplit_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.0601944Z   test_comprehensive_hsplit_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.0602080Z   test_comprehensive_hsplit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0602213Z   test_comprehensive_hsplit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s)
2023-01-11T21:35:33.0602381Z   test_comprehensive_hsplit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0602536Z   test_comprehensive_hsplit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0602674Z   test_comprehensive_hsplit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0602804Z   test_comprehensive_hsplit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0602935Z   test_comprehensive_hsplit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0603068Z   test_comprehensive_hsplit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0603205Z   test_comprehensive_hstack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0603338Z   test_comprehensive_hstack_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0603599Z   test_comprehensive_hstack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0603734Z   test_comprehensive_hstack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0603868Z   test_comprehensive_hstack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0604003Z   test_comprehensive_hstack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0604138Z   test_comprehensive_hstack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0604271Z   test_comprehensive_hstack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0604404Z   test_comprehensive_hstack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0604537Z   test_comprehensive_hstack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0604670Z   test_comprehensive_hstack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0604795Z   test_comprehensive_hstack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0604926Z   test_comprehensive_hstack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0605065Z   test_comprehensive_hypot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0605204Z   test_comprehensive_hypot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.815s)
2023-01-11T21:35:33.0605338Z   test_comprehensive_hypot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.809s)
2023-01-11T21:35:33.0605466Z   test_comprehensive_i0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0605595Z   test_comprehensive_i0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0605724Z   test_comprehensive_i0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0605846Z   test_comprehensive_i0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0605975Z   test_comprehensive_i0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0606102Z   test_comprehensive_i0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0606230Z   test_comprehensive_i0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0606355Z   test_comprehensive_i0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0606486Z   test_comprehensive_i0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0606622Z   test_comprehensive_igamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0606762Z   test_comprehensive_igamma_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0606890Z   test_comprehensive_igamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.0607024Z   test_comprehensive_igamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0607163Z   test_comprehensive_igammac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0607300Z   test_comprehensive_igammac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0607489Z   test_comprehensive_igammac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.0607626Z   test_comprehensive_igammac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0607799Z   test_comprehensive_imag_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0607940Z   test_comprehensive_imag_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0608068Z   test_comprehensive_imag_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0608213Z   test_comprehensive_index_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0608347Z   test_comprehensive_index_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0608490Z   test_comprehensive_index_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0608634Z   test_comprehensive_index_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0608770Z   test_comprehensive_index_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.0608914Z   test_comprehensive_index_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0609054Z   test_comprehensive_index_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0609191Z   test_comprehensive_index_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s)
2023-01-11T21:35:33.0609322Z   test_comprehensive_index_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0609457Z   test_comprehensive_index_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0609594Z   test_comprehensive_index_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0609728Z   test_comprehensive_index_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0609863Z   test_comprehensive_index_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0610003Z   test_comprehensive_index_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0610140Z   test_comprehensive_index_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0610285Z   test_comprehensive_index_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0610422Z   test_comprehensive_index_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0610663Z   test_comprehensive_index_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0610804Z   test_comprehensive_index_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0610945Z   test_comprehensive_index_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0611081Z   test_comprehensive_index_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0611219Z   test_comprehensive_index_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0611349Z   test_comprehensive_index_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0611489Z   test_comprehensive_index_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0611621Z   test_comprehensive_index_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0611762Z   test_comprehensive_index_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0611900Z   test_comprehensive_index_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0612043Z   test_comprehensive_index_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0612191Z   test_comprehensive_index_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0612329Z   test_comprehensive_index_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0612467Z   test_comprehensive_index_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0612603Z   test_comprehensive_index_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0612766Z   test_comprehensive_index_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0612933Z   test_comprehensive_index_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0613064Z   test_comprehensive_index_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0613196Z   test_comprehensive_index_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0613333Z   test_comprehensive_index_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0613473Z   test_comprehensive_index_put_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0613623Z   test_comprehensive_index_put_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0613835Z   test_comprehensive_index_put_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0613982Z   test_comprehensive_index_put_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0614116Z   test_comprehensive_index_put_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0614272Z   test_comprehensive_index_put_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0614464Z   test_comprehensive_index_put_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0614671Z   test_comprehensive_index_put_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0614875Z   test_comprehensive_index_put_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0615105Z   test_comprehensive_index_put_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0615327Z   test_comprehensive_index_put_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0615545Z   test_comprehensive_index_put_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0615749Z   test_comprehensive_index_put_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0615985Z   test_comprehensive_index_reduce_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.429s)
2023-01-11T21:35:33.0616184Z   test_comprehensive_index_reduce_cpu_float16 (__main__.TestDecompCPU) ... ok (0.444s)
2023-01-11T21:35:33.0616379Z   test_comprehensive_index_reduce_cpu_float32 (__main__.TestDecompCPU) ... ok (2.170s)
2023-01-11T21:35:33.0616604Z   test_comprehensive_index_reduce_cpu_float64 (__main__.TestDecompCPU) ... ok (2.135s)
2023-01-11T21:35:33.0616824Z   test_comprehensive_index_reduce_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0617065Z   test_comprehensive_index_reduce_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0617317Z   test_comprehensive_index_reduce_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0617511Z   test_comprehensive_index_reduce_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0617647Z   test_comprehensive_index_reduce_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0617795Z   test_comprehensive_index_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0617932Z   test_comprehensive_index_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0618083Z   test_comprehensive_index_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0618229Z   test_comprehensive_index_select_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0618377Z   test_comprehensive_index_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0618517Z   test_comprehensive_index_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0618659Z   test_comprehensive_index_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0618792Z   test_comprehensive_index_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0618929Z   test_comprehensive_index_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0619142Z   test_comprehensive_index_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0619313Z   test_comprehensive_index_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0619454Z   test_comprehensive_index_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0619589Z   test_comprehensive_index_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0619727Z   test_comprehensive_inner_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0619870Z   test_comprehensive_inner_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0619999Z   test_comprehensive_inner_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0620131Z   test_comprehensive_inner_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0620264Z   test_comprehensive_inner_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0620402Z   test_comprehensive_inner_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0620530Z   test_comprehensive_inner_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0620665Z   test_comprehensive_inner_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0620801Z   test_comprehensive_inner_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0620930Z   test_comprehensive_inner_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0621057Z   test_comprehensive_int_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0621186Z   test_comprehensive_int_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0621326Z   test_comprehensive_int_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0621463Z   test_comprehensive_int_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0621597Z   test_comprehensive_int_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0621727Z   test_comprehensive_int_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0621861Z   test_comprehensive_int_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0621988Z   test_comprehensive_int_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0622108Z   test_comprehensive_int_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0622239Z   test_comprehensive_int_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0622364Z   test_comprehensive_int_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0622497Z   test_comprehensive_int_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0622637Z   test_comprehensive_isclose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.438s)
2023-01-11T21:35:33.0622775Z   test_comprehensive_isclose_cpu_bool (__main__.TestDecompCPU) ... ok (1.104s)
2023-01-11T21:35:33.0622918Z   test_comprehensive_isclose_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.490s)
2023-01-11T21:35:33.0623060Z   test_comprehensive_isclose_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.503s)
2023-01-11T21:35:33.0623191Z   test_comprehensive_isclose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.460s)
2023-01-11T21:35:33.0623327Z   test_comprehensive_isclose_cpu_float32 (__main__.TestDecompCPU) ... ok (1.178s)
2023-01-11T21:35:33.0623461Z   test_comprehensive_isclose_cpu_float64 (__main__.TestDecompCPU) ... ok (1.154s)
2023-01-11T21:35:33.0623595Z   test_comprehensive_isclose_cpu_int16 (__main__.TestDecompCPU) ... ok (1.455s)
2023-01-11T21:35:33.0623731Z   test_comprehensive_isclose_cpu_int32 (__main__.TestDecompCPU) ... ok (1.453s)
2023-01-11T21:35:33.0623864Z   test_comprehensive_isclose_cpu_int64 (__main__.TestDecompCPU) ... ok (1.464s)
2023-01-11T21:35:33.0623995Z   test_comprehensive_isclose_cpu_int8 (__main__.TestDecompCPU) ... ok (1.453s)
2023-01-11T21:35:33.0624175Z   test_comprehensive_isclose_cpu_uint8 (__main__.TestDecompCPU) ... ok (1.515s)
2023-01-11T21:35:33.0624308Z   test_comprehensive_isfinite_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0624470Z   test_comprehensive_isfinite_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0624615Z   test_comprehensive_isfinite_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0624759Z   test_comprehensive_isfinite_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0624895Z   test_comprehensive_isfinite_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0625040Z   test_comprehensive_isfinite_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0625174Z   test_comprehensive_isfinite_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0625307Z   test_comprehensive_isfinite_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0625438Z   test_comprehensive_isfinite_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0625577Z   test_comprehensive_isfinite_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0625712Z   test_comprehensive_isfinite_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0625847Z   test_comprehensive_isfinite_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0625980Z   test_comprehensive_isfinite_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0626111Z   test_comprehensive_isin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0626244Z   test_comprehensive_isin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0626373Z   test_comprehensive_isin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0626501Z   test_comprehensive_isin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0626626Z   test_comprehensive_isin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0626761Z   test_comprehensive_isin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0626890Z   test_comprehensive_isin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0627025Z   test_comprehensive_isinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0627159Z   test_comprehensive_isinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0627295Z   test_comprehensive_isinf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0627436Z   test_comprehensive_isinf_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0627571Z   test_comprehensive_isinf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0627697Z   test_comprehensive_isinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0627831Z   test_comprehensive_isinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0627965Z   test_comprehensive_isinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0628095Z   test_comprehensive_isinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0628227Z   test_comprehensive_isinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0628357Z   test_comprehensive_isinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0628488Z   test_comprehensive_isinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0628618Z   test_comprehensive_isinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0628747Z   test_comprehensive_isnan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0628877Z   test_comprehensive_isnan_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0629014Z   test_comprehensive_isnan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0629153Z   test_comprehensive_isnan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0629318Z   test_comprehensive_isnan_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0629450Z   test_comprehensive_isnan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0629625Z   test_comprehensive_isnan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0629756Z   test_comprehensive_isnan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0629880Z   test_comprehensive_isnan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0630011Z   test_comprehensive_isnan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0630139Z   test_comprehensive_isnan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0630271Z   test_comprehensive_isnan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0630415Z   test_comprehensive_isneginf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0630554Z   test_comprehensive_isneginf_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0630698Z   test_comprehensive_isneginf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0630840Z   test_comprehensive_isneginf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0630965Z   test_comprehensive_isneginf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0631105Z   test_comprehensive_isneginf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0631243Z   test_comprehensive_isneginf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0631380Z   test_comprehensive_isneginf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0631516Z   test_comprehensive_isneginf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0631654Z   test_comprehensive_isneginf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0631799Z   test_comprehensive_isposinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0631937Z   test_comprehensive_isposinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0632070Z   test_comprehensive_isposinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0632210Z   test_comprehensive_isposinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0632351Z   test_comprehensive_isposinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0632489Z   test_comprehensive_isposinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0632627Z   test_comprehensive_isposinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0632765Z   test_comprehensive_isposinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0632904Z   test_comprehensive_isposinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0633042Z   test_comprehensive_isposinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0633173Z   test_comprehensive_isreal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0633312Z   test_comprehensive_isreal_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0633460Z   test_comprehensive_isreal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0633697Z   test_comprehensive_isreal_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0633841Z   test_comprehensive_isreal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0633984Z   test_comprehensive_isreal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634121Z   test_comprehensive_isreal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634258Z   test_comprehensive_isreal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634384Z   test_comprehensive_isreal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634558Z   test_comprehensive_isreal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634694Z   test_comprehensive_isreal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634862Z   test_comprehensive_isreal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0634999Z   test_comprehensive_isreal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0635141Z   test_comprehensive_istft_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.896s)
2023-01-11T21:35:33.0635284Z   test_comprehensive_istft_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.713s)
2023-01-11T21:35:33.0635474Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0635660Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0635839Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0636030Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0636214Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0636392Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0636575Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0636754Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0636935Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0637113Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0637296Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0637476Z   test_comprehensive_jiterator_2inputs_2outputs_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0637657Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0637844Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0638035Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0638224Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0638414Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0638603Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0638792Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0638976Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0639164Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0639348Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0639520Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0639740Z   test_comprehensive_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0639947Z   test_comprehensive_jiterator_binary_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0640123Z   test_comprehensive_jiterator_binary_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0640302Z   test_comprehensive_jiterator_binary_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0640477Z   test_comprehensive_jiterator_binary_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0640651Z   test_comprehensive_jiterator_binary_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0640823Z   test_comprehensive_jiterator_binary_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0640996Z   test_comprehensive_jiterator_binary_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0641157Z   test_comprehensive_jiterator_binary_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0641327Z   test_comprehensive_jiterator_binary_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0641496Z   test_comprehensive_jiterator_binary_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0641666Z   test_comprehensive_jiterator_binary_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0641831Z   test_comprehensive_jiterator_binary_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0642020Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0642207Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0642398Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0642587Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0642773Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0642946Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0643130Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0643316Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0643654Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0643838Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0644021Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0644202Z   test_comprehensive_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0644378Z   test_comprehensive_jiterator_unary_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0644549Z   test_comprehensive_jiterator_unary_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0644777Z   test_comprehensive_jiterator_unary_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0644994Z   test_comprehensive_jiterator_unary_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0645168Z   test_comprehensive_jiterator_unary_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0645340Z   test_comprehensive_jiterator_unary_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0645510Z   test_comprehensive_jiterator_unary_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0645678Z   test_comprehensive_jiterator_unary_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0645846Z   test_comprehensive_jiterator_unary_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0646015Z   test_comprehensive_jiterator_unary_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0646186Z   test_comprehensive_jiterator_unary_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0646355Z   test_comprehensive_jiterator_unary_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:35:33.0646487Z   test_comprehensive_kron_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0646623Z   test_comprehensive_kron_cpu_bool (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0646766Z   test_comprehensive_kron_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.746s)
2023-01-11T21:35:33.0646907Z   test_comprehensive_kron_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.735s)
2023-01-11T21:35:33.0647044Z   test_comprehensive_kron_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0647182Z   test_comprehensive_kron_cpu_float32 (__main__.TestDecompCPU) ... ok (0.371s)
2023-01-11T21:35:33.0647321Z   test_comprehensive_kron_cpu_float64 (__main__.TestDecompCPU) ... ok (0.370s)
2023-01-11T21:35:33.0647457Z   test_comprehensive_kron_cpu_int16 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0647582Z   test_comprehensive_kron_cpu_int32 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0647716Z   test_comprehensive_kron_cpu_int64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0647849Z   test_comprehensive_kron_cpu_int8 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0647985Z   test_comprehensive_kron_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0648130Z   test_comprehensive_kthvalue_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0648275Z   test_comprehensive_kthvalue_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0648420Z   test_comprehensive_kthvalue_cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0648561Z   test_comprehensive_kthvalue_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0648691Z   test_comprehensive_kthvalue_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0648829Z   test_comprehensive_kthvalue_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0648971Z   test_comprehensive_kthvalue_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0649108Z   test_comprehensive_kthvalue_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0649245Z   test_comprehensive_lcm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0649379Z   test_comprehensive_lcm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0649510Z   test_comprehensive_lcm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0649644Z   test_comprehensive_lcm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0649763Z   test_comprehensive_lcm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0649939Z   test_comprehensive_ldexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0650077Z   test_comprehensive_ldexp_cpu_bool (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.0650254Z   test_comprehensive_ldexp_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.278s)
2023-01-11T21:35:33.0650401Z   test_comprehensive_ldexp_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.277s)
2023-01-11T21:35:33.0650540Z   test_comprehensive_ldexp_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0650680Z   test_comprehensive_ldexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.595s)
2023-01-11T21:35:33.0650818Z   test_comprehensive_ldexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.593s)
2023-01-11T21:35:33.0650945Z   test_comprehensive_ldexp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.0651082Z   test_comprehensive_ldexp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.0651217Z   test_comprehensive_ldexp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.0651355Z   test_comprehensive_ldexp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.087s)
2023-01-11T21:35:33.0651489Z   test_comprehensive_ldexp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.097s)
2023-01-11T21:35:33.0651624Z   test_comprehensive_le_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0651757Z   test_comprehensive_le_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0651894Z   test_comprehensive_le_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0652016Z   test_comprehensive_le_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0652149Z   test_comprehensive_le_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0652282Z   test_comprehensive_le_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0652412Z   test_comprehensive_le_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0652546Z   test_comprehensive_le_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0652677Z   test_comprehensive_le_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0652809Z   test_comprehensive_le_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0652947Z   test_comprehensive_lerp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0653080Z   test_comprehensive_lerp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.918s)
2023-01-11T21:35:33.0653225Z   test_comprehensive_lerp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.942s)
2023-01-11T21:35:33.0653363Z   test_comprehensive_lerp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.401s)
2023-01-11T21:35:33.0653498Z   test_comprehensive_lerp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.386s)
2023-01-11T21:35:33.0653641Z   test_comprehensive_lgamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0653779Z   test_comprehensive_lgamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0653922Z   test_comprehensive_lgamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0654061Z   test_comprehensive_lgamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0654187Z   test_comprehensive_lgamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0654324Z   test_comprehensive_lgamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0654464Z   test_comprehensive_lgamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0654600Z   test_comprehensive_lgamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0654735Z   test_comprehensive_lgamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0654890Z   test_comprehensive_linalg_cholesky_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.464s)
2023-01-11T21:35:33.0655048Z   test_comprehensive_linalg_cholesky_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.481s)
2023-01-11T21:35:33.0655229Z   test_comprehensive_linalg_cholesky_cpu_float32 (__main__.TestDecompCPU) ... ok (0.288s)
2023-01-11T21:35:33.0655366Z   test_comprehensive_linalg_cholesky_cpu_float64 (__main__.TestDecompCPU) ... ok (0.277s)
2023-01-11T21:35:33.0655557Z   test_comprehensive_linalg_cholesky_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.455s)
2023-01-11T21:35:33.0655716Z   test_comprehensive_linalg_cholesky_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.471s)
2023-01-11T21:35:33.0655869Z   test_comprehensive_linalg_cholesky_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.287s)
2023-01-11T21:35:33.0656020Z   test_comprehensive_linalg_cholesky_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.276s)
2023-01-11T21:35:33.0656169Z   test_comprehensive_linalg_cond_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.166s)
2023-01-11T21:35:33.0656318Z   test_comprehensive_linalg_cond_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.173s)
2023-01-11T21:35:33.0656463Z   test_comprehensive_linalg_cond_cpu_float32 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.0656612Z   test_comprehensive_linalg_cond_cpu_float64 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0656749Z   test_comprehensive_linalg_cross_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0656902Z   test_comprehensive_linalg_cross_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0657052Z   test_comprehensive_linalg_cross_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0657199Z   test_comprehensive_linalg_cross_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0657343Z   test_comprehensive_linalg_cross_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0657487Z   test_comprehensive_linalg_cross_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0657626Z   test_comprehensive_linalg_cross_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0657766Z   test_comprehensive_linalg_cross_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0657899Z   test_comprehensive_linalg_cross_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0658043Z   test_comprehensive_linalg_cross_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0658191Z   test_comprehensive_linalg_det_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.148s)
2023-01-11T21:35:33.0658337Z   test_comprehensive_linalg_det_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.151s)
2023-01-11T21:35:33.0658480Z   test_comprehensive_linalg_det_cpu_float32 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0658623Z   test_comprehensive_linalg_det_cpu_float64 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.0658784Z   test_comprehensive_linalg_det_singular_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.147s)
2023-01-11T21:35:33.0658946Z   test_comprehensive_linalg_det_singular_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.196s)
2023-01-11T21:35:33.0659107Z   test_comprehensive_linalg_det_singular_cpu_float32 (__main__.TestDecompCPU) ... ok (0.741s)
2023-01-11T21:35:33.0659251Z   test_comprehensive_linalg_det_singular_cpu_float64 (__main__.TestDecompCPU) ... ok (0.717s)
2023-01-11T21:35:33.0659403Z   test_comprehensive_linalg_eig_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.604s)
2023-01-11T21:35:33.0659551Z   test_comprehensive_linalg_eig_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.621s)
2023-01-11T21:35:33.0659696Z   test_comprehensive_linalg_eig_cpu_float32 (__main__.TestDecompCPU) ... ok (0.605s)
2023-01-11T21:35:33.0659839Z   test_comprehensive_linalg_eig_cpu_float64 (__main__.TestDecompCPU) ... ok (0.587s)
2023-01-11T21:35:33.0659989Z   test_comprehensive_linalg_eigh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.516s)
2023-01-11T21:35:33.0660138Z   test_comprehensive_linalg_eigh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.532s)
2023-01-11T21:35:33.0660283Z   test_comprehensive_linalg_eigh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.350s)
2023-01-11T21:35:33.0660496Z   test_comprehensive_linalg_eigh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.337s)
2023-01-11T21:35:33.0660650Z   test_comprehensive_linalg_eigvals_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.0660832Z   test_comprehensive_linalg_eigvals_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.124s)
2023-01-11T21:35:33.0660983Z   test_comprehensive_linalg_eigvals_cpu_float32 (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.0661133Z   test_comprehensive_linalg_eigvals_cpu_float64 (__main__.TestDecompCPU) ... ok (0.114s)
2023-01-11T21:35:33.0661288Z   test_comprehensive_linalg_eigvalsh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.125s)
2023-01-11T21:35:33.0661442Z   test_comprehensive_linalg_eigvalsh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0661593Z   test_comprehensive_linalg_eigvalsh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.0661730Z   test_comprehensive_linalg_eigvalsh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0661905Z   test_comprehensive_linalg_householder_product_cpu_complex128 (__main__.TestDecompCPU) ... ok (5.217s)
2023-01-11T21:35:33.0662077Z   test_comprehensive_linalg_householder_product_cpu_complex64 (__main__.TestDecompCPU) ... ok (5.496s)
2023-01-11T21:35:33.0662246Z   test_comprehensive_linalg_householder_product_cpu_float32 (__main__.TestDecompCPU) ... ok (3.138s)
2023-01-11T21:35:33.0662409Z   test_comprehensive_linalg_householder_product_cpu_float64 (__main__.TestDecompCPU) ... ok (3.009s)
2023-01-11T21:35:33.0662556Z   test_comprehensive_linalg_inv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.0662704Z   test_comprehensive_linalg_inv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.211s)
2023-01-11T21:35:33.0662849Z   test_comprehensive_linalg_inv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.0662988Z   test_comprehensive_linalg_inv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0663132Z   test_comprehensive_linalg_inv_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.0663284Z   test_comprehensive_linalg_inv_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.211s)
2023-01-11T21:35:33.0663427Z   test_comprehensive_linalg_inv_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0663567Z   test_comprehensive_linalg_inv_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0663723Z   test_comprehensive_linalg_ldl_factor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0663879Z   test_comprehensive_linalg_ldl_factor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0664030Z   test_comprehensive_linalg_ldl_factor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0664182Z   test_comprehensive_linalg_ldl_factor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0664342Z   test_comprehensive_linalg_ldl_factor_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0664491Z   test_comprehensive_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0664646Z   test_comprehensive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0664801Z   test_comprehensive_linalg_ldl_factor_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0664956Z   test_comprehensive_linalg_ldl_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0665108Z   test_comprehensive_linalg_ldl_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0665259Z   test_comprehensive_linalg_ldl_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0665409Z   test_comprehensive_linalg_ldl_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0665556Z   test_comprehensive_linalg_lstsq_cpu_complex128 (__main__.TestDecompCPU) ... ok (12.362s)
2023-01-11T21:35:33.0665728Z   test_comprehensive_linalg_lstsq_cpu_complex64 (__main__.TestDecompCPU) ... ok (12.684s)
2023-01-11T21:35:33.0665904Z   test_comprehensive_linalg_lstsq_cpu_float32 (__main__.TestDecompCPU) ... ok (7.150s)
2023-01-11T21:35:33.0666052Z   test_comprehensive_linalg_lstsq_cpu_float64 (__main__.TestDecompCPU) ... ok (6.967s)
2023-01-11T21:35:33.0666221Z   test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestDecompCPU) ... ok (12.340s)
2023-01-11T21:35:33.0666389Z   test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex64 (__main__.TestDecompCPU) ... ok (12.638s)
2023-01-11T21:35:33.0666553Z   test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestDecompCPU) ... ok (7.126s)
2023-01-11T21:35:33.0666717Z   test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64 (__main__.TestDecompCPU) ... ok (6.984s)
2023-01-11T21:35:33.0666863Z   test_comprehensive_linalg_lu_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.737s)
2023-01-11T21:35:33.0667011Z   test_comprehensive_linalg_lu_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.802s)
2023-01-11T21:35:33.0667141Z   test_comprehensive_linalg_lu_cpu_float32 (__main__.TestDecompCPU) ... ok (2.213s)
2023-01-11T21:35:33.0667284Z   test_comprehensive_linalg_lu_cpu_float64 (__main__.TestDecompCPU) ... ok (2.168s)
2023-01-11T21:35:33.0667438Z   test_comprehensive_linalg_lu_factor_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.122s)
2023-01-11T21:35:33.0667593Z   test_comprehensive_linalg_lu_factor_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.187s)
2023-01-11T21:35:33.0667741Z   test_comprehensive_linalg_lu_factor_cpu_float32 (__main__.TestDecompCPU) ... ok (2.446s)
2023-01-11T21:35:33.0667888Z   test_comprehensive_linalg_lu_factor_cpu_float64 (__main__.TestDecompCPU) ... ok (2.393s)
2023-01-11T21:35:33.0668045Z   test_comprehensive_linalg_lu_factor_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.113s)
2023-01-11T21:35:33.0668204Z   test_comprehensive_linalg_lu_factor_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.188s)
2023-01-11T21:35:33.0668347Z   test_comprehensive_linalg_lu_factor_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (2.415s)
2023-01-11T21:35:33.0668501Z   test_comprehensive_linalg_lu_factor_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (2.382s)
2023-01-11T21:35:33.0668654Z   test_comprehensive_linalg_lu_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (5.943s)
2023-01-11T21:35:33.0668805Z   test_comprehensive_linalg_lu_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (6.213s)
2023-01-11T21:35:33.0668952Z   test_comprehensive_linalg_lu_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (4.405s)
2023-01-11T21:35:33.0669100Z   test_comprehensive_linalg_lu_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (4.205s)
2023-01-11T21:35:33.0669253Z   test_comprehensive_linalg_matrix_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.267s)
2023-01-11T21:35:33.0669411Z   test_comprehensive_linalg_matrix_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.589s)
2023-01-11T21:35:33.0669569Z   test_comprehensive_linalg_matrix_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.667s)
2023-01-11T21:35:33.0669711Z   test_comprehensive_linalg_matrix_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (0.283s)
2023-01-11T21:35:33.0669862Z   test_comprehensive_linalg_matrix_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (1.359s)
2023-01-11T21:35:33.0670013Z   test_comprehensive_linalg_matrix_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (1.299s)
2023-01-11T21:35:33.0670171Z   test_comprehensive_linalg_matrix_power_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.632s)
2023-01-11T21:35:33.0670329Z   test_comprehensive_linalg_matrix_power_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.669s)
2023-01-11T21:35:33.0670483Z   test_comprehensive_linalg_matrix_power_cpu_float32 (__main__.TestDecompCPU) ... ok (0.442s)
2023-01-11T21:35:33.0670633Z   test_comprehensive_linalg_matrix_power_cpu_float64 (__main__.TestDecompCPU) ... ok (0.418s)
2023-01-11T21:35:33.0670817Z   test_comprehensive_linalg_matrix_rank_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.431s)
2023-01-11T21:35:33.0670960Z   test_comprehensive_linalg_matrix_rank_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.442s)
2023-01-11T21:35:33.0671139Z   test_comprehensive_linalg_matrix_rank_cpu_float32 (__main__.TestDecompCPU) ... ok (0.439s)
2023-01-11T21:35:33.0671291Z   test_comprehensive_linalg_matrix_rank_cpu_float64 (__main__.TestDecompCPU) ... ok (0.430s)
2023-01-11T21:35:33.0671460Z   test_comprehensive_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0671629Z   test_comprehensive_linalg_matrix_rank_hermitian_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0671796Z   test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0671960Z   test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0672113Z   test_comprehensive_linalg_multi_dot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0672266Z   test_comprehensive_linalg_multi_dot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.0672409Z   test_comprehensive_linalg_multi_dot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.0672558Z   test_comprehensive_linalg_multi_dot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0672706Z   test_comprehensive_linalg_multi_dot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0672855Z   test_comprehensive_linalg_multi_dot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0673002Z   test_comprehensive_linalg_multi_dot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0673150Z   test_comprehensive_linalg_multi_dot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0673297Z   test_comprehensive_linalg_multi_dot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0673445Z   test_comprehensive_linalg_multi_dot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0673672Z   test_comprehensive_linalg_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.362s)
2023-01-11T21:35:33.0673812Z   test_comprehensive_linalg_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.510s)
2023-01-11T21:35:33.0673960Z   test_comprehensive_linalg_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.586s)
2023-01-11T21:35:33.0674108Z   test_comprehensive_linalg_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (0.367s)
2023-01-11T21:35:33.0674249Z   test_comprehensive_linalg_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (1.254s)
2023-01-11T21:35:33.0674392Z   test_comprehensive_linalg_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (1.197s)
2023-01-11T21:35:33.0674567Z   test_comprehensive_linalg_norm_subgradients_at_zero_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.285s)
2023-01-11T21:35:33.0674748Z   test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.832s)
2023-01-11T21:35:33.0674922Z   test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.873s)
2023-01-11T21:35:33.0675083Z   test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16 (__main__.TestDecompCPU) ... ok (0.287s)
2023-01-11T21:35:33.0675255Z   test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestDecompCPU) ... ok (0.768s)
2023-01-11T21:35:33.0675420Z   test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64 (__main__.TestDecompCPU) ... ok (0.733s)
2023-01-11T21:35:33.0675569Z   test_comprehensive_linalg_pinv_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.766s)
2023-01-11T21:35:33.0675719Z   test_comprehensive_linalg_pinv_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.824s)
2023-01-11T21:35:33.0675864Z   test_comprehensive_linalg_pinv_cpu_float32 (__main__.TestDecompCPU) ... ok (1.162s)
2023-01-11T21:35:33.0676046Z   test_comprehensive_linalg_pinv_cpu_float64 (__main__.TestDecompCPU) ... ok (1.119s)
2023-01-11T21:35:33.0676211Z   test_comprehensive_linalg_pinv_hermitian_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.841s)
2023-01-11T21:35:33.0676400Z   test_comprehensive_linalg_pinv_hermitian_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.850s)
2023-01-11T21:35:33.0676547Z   test_comprehensive_linalg_pinv_hermitian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.502s)
2023-01-11T21:35:33.0676708Z   test_comprehensive_linalg_pinv_hermitian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.484s)
2023-01-11T21:35:33.0676939Z   test_comprehensive_linalg_pinv_singular_cpu_complex128 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:35:33.0677166Z   test_comprehensive_linalg_pinv_singular_cpu_complex64 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:35:33.0677386Z   test_comprehensive_linalg_pinv_singular_cpu_float32 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:35:33.0677610Z   test_comprehensive_linalg_pinv_singular_cpu_float64 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T21:35:33.0677758Z   test_comprehensive_linalg_qr_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.462s)
2023-01-11T21:35:33.0677906Z   test_comprehensive_linalg_qr_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.523s)
2023-01-11T21:35:33.0678048Z   test_comprehensive_linalg_qr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.993s)
2023-01-11T21:35:33.0678189Z   test_comprehensive_linalg_qr_cpu_float64 (__main__.TestDecompCPU) ... ok (1.010s)
2023-01-11T21:35:33.0678332Z   test_comprehensive_linalg_slogdet_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.0678486Z   test_comprehensive_linalg_slogdet_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.0678639Z   test_comprehensive_linalg_slogdet_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0678788Z   test_comprehensive_linalg_slogdet_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0678940Z   test_comprehensive_linalg_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.221s)
2023-01-11T21:35:33.0679088Z   test_comprehensive_linalg_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.250s)
2023-01-11T21:35:33.0679253Z   test_comprehensive_linalg_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.172s)
2023-01-11T21:35:33.0679398Z   test_comprehensive_linalg_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.161s)
2023-01-11T21:35:33.0679538Z   test_comprehensive_linalg_solve_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.225s)
2023-01-11T21:35:33.0679691Z   test_comprehensive_linalg_solve_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.236s)
2023-01-11T21:35:33.0679840Z   test_comprehensive_linalg_solve_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.164s)
2023-01-11T21:35:33.0679988Z   test_comprehensive_linalg_solve_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.0680156Z   test_comprehensive_linalg_solve_triangular_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.338s)
2023-01-11T21:35:33.0680324Z   test_comprehensive_linalg_solve_triangular_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.411s)
2023-01-11T21:35:33.0680483Z   test_comprehensive_linalg_solve_triangular_cpu_float32 (__main__.TestDecompCPU) ... ok (2.517s)
2023-01-11T21:35:33.0680643Z   test_comprehensive_linalg_solve_triangular_cpu_float64 (__main__.TestDecompCPU) ... ok (2.454s)
2023-01-11T21:35:33.0680793Z   test_comprehensive_linalg_svd_cpu_complex128 (__main__.TestDecompCPU) ... ok (15.497s)
2023-01-11T21:35:33.0680932Z   test_comprehensive_linalg_svd_cpu_complex64 (__main__.TestDecompCPU) ... ok (14.817s)
2023-01-11T21:35:33.0681078Z   test_comprehensive_linalg_svd_cpu_float32 (__main__.TestDecompCPU) ... ok (10.493s)
2023-01-11T21:35:33.0681255Z   test_comprehensive_linalg_svd_cpu_float64 (__main__.TestDecompCPU) ... ok (10.464s)
2023-01-11T21:35:33.0681408Z   test_comprehensive_linalg_svdvals_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.413s)
2023-01-11T21:35:33.0681618Z   test_comprehensive_linalg_svdvals_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.419s)
2023-01-11T21:35:33.0681770Z   test_comprehensive_linalg_svdvals_cpu_float32 (__main__.TestDecompCPU) ... ok (0.297s)
2023-01-11T21:35:33.0681919Z   test_comprehensive_linalg_svdvals_cpu_float64 (__main__.TestDecompCPU) ... ok (0.285s)
2023-01-11T21:35:33.0682079Z   test_comprehensive_linalg_tensorinv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.287s)
2023-01-11T21:35:33.0682221Z   test_comprehensive_linalg_tensorinv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.286s)
2023-01-11T21:35:33.0682372Z   test_comprehensive_linalg_tensorinv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.161s)
2023-01-11T21:35:33.0682523Z   test_comprehensive_linalg_tensorinv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.165s)
2023-01-11T21:35:33.0682686Z   test_comprehensive_linalg_tensorsolve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.362s)
2023-01-11T21:35:33.0682848Z   test_comprehensive_linalg_tensorsolve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.305s)
2023-01-11T21:35:33.0683004Z   test_comprehensive_linalg_tensorsolve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.172s)
2023-01-11T21:35:33.0683158Z   test_comprehensive_linalg_tensorsolve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.199s)
2023-01-11T21:35:33.0683310Z   test_comprehensive_linalg_vander_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.269s)
2023-01-11T21:35:33.0683613Z   test_comprehensive_linalg_vander_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.386s)
2023-01-11T21:35:33.0683753Z   test_comprehensive_linalg_vander_cpu_float32 (__main__.TestDecompCPU) ... ok (1.185s)
2023-01-11T21:35:33.0683902Z   test_comprehensive_linalg_vander_cpu_float64 (__main__.TestDecompCPU) ... ok (1.186s)
2023-01-11T21:35:33.0684050Z   test_comprehensive_linalg_vander_cpu_int16 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0684193Z   test_comprehensive_linalg_vander_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0684338Z   test_comprehensive_linalg_vander_cpu_int64 (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.0684483Z   test_comprehensive_linalg_vander_cpu_int8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0684624Z   test_comprehensive_linalg_vander_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0684774Z   test_comprehensive_linalg_vecdot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.0684913Z   test_comprehensive_linalg_vecdot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.875s)
2023-01-11T21:35:33.0685064Z   test_comprehensive_linalg_vecdot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.871s)
2023-01-11T21:35:33.0685211Z   test_comprehensive_linalg_vecdot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.471s)
2023-01-11T21:35:33.0685364Z   test_comprehensive_linalg_vecdot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.430s)
2023-01-11T21:35:33.0685521Z   test_comprehensive_linalg_vector_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.187s)
2023-01-11T21:35:33.0685680Z   test_comprehensive_linalg_vector_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.399s)
2023-01-11T21:35:33.0685837Z   test_comprehensive_linalg_vector_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.220s)
2023-01-11T21:35:33.0685990Z   test_comprehensive_linalg_vector_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (1.146s)
2023-01-11T21:35:33.0686129Z   test_comprehensive_linalg_vector_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (3.221s)
2023-01-11T21:35:33.0686281Z   test_comprehensive_linalg_vector_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (3.076s)
2023-01-11T21:35:33.0686429Z   test_comprehensive_linspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0686635Z   test_comprehensive_linspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0686782Z   test_comprehensive_linspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0686964Z   test_comprehensive_linspace_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0687110Z   test_comprehensive_linspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0687249Z   test_comprehensive_linspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0687391Z   test_comprehensive_linspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0687520Z   test_comprehensive_linspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0687660Z   test_comprehensive_linspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0687801Z   test_comprehensive_linspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0687941Z   test_comprehensive_linspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0688080Z   test_comprehensive_log10_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0688220Z   test_comprehensive_log10_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0688362Z   test_comprehensive_log10_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0688505Z   test_comprehensive_log10_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0688631Z   test_comprehensive_log10_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0688769Z   test_comprehensive_log10_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0688905Z   test_comprehensive_log10_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0689043Z   test_comprehensive_log10_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0689176Z   test_comprehensive_log10_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0689327Z   test_comprehensive_log10_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0689459Z   test_comprehensive_log10_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0689607Z   test_comprehensive_log1p_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0689733Z   test_comprehensive_log1p_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0689878Z   test_comprehensive_log1p_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.180s)
2023-01-11T21:35:33.0690019Z   test_comprehensive_log1p_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.184s)
2023-01-11T21:35:33.0690157Z   test_comprehensive_log1p_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s)
2023-01-11T21:35:33.0690296Z   test_comprehensive_log1p_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0690432Z   test_comprehensive_log1p_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0690566Z   test_comprehensive_log1p_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0690698Z   test_comprehensive_log1p_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0690823Z   test_comprehensive_log1p_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0690954Z   test_comprehensive_log1p_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0691092Z   test_comprehensive_log2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0691227Z   test_comprehensive_log2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0691368Z   test_comprehensive_log2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0691508Z   test_comprehensive_log2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0691646Z   test_comprehensive_log2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0691784Z   test_comprehensive_log2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0691938Z   test_comprehensive_log2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0692072Z   test_comprehensive_log2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0692238Z   test_comprehensive_log2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0692375Z   test_comprehensive_log2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0692509Z   test_comprehensive_log2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0692644Z   test_comprehensive_log_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0692779Z   test_comprehensive_log_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0692921Z   test_comprehensive_log_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0693049Z   test_comprehensive_log_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0693187Z   test_comprehensive_log_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0693323Z   test_comprehensive_log_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0693458Z   test_comprehensive_log_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0693592Z   test_comprehensive_log_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0693724Z   test_comprehensive_log_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0693858Z   test_comprehensive_log_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0693989Z   test_comprehensive_log_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0694126Z   test_comprehensive_log_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0694274Z   test_comprehensive_log_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0694414Z   test_comprehensive_log_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.0694578Z   test_comprehensive_log_softmax_with_dtype_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0694738Z   test_comprehensive_log_softmax_with_dtype_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0694902Z   test_comprehensive_log_softmax_with_dtype_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.0695063Z   test_comprehensive_log_softmax_with_dtype_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0695219Z   test_comprehensive_log_softmax_with_dtype_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.0695380Z   test_comprehensive_log_softmax_with_dtype_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0695528Z   test_comprehensive_log_softmax_with_dtype_cpu_float32 (__main__.TestDecompCPU) ... ok (0.122s)
2023-01-11T21:35:33.0695685Z   test_comprehensive_log_softmax_with_dtype_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.0695844Z   test_comprehensive_log_softmax_with_dtype_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0695998Z   test_comprehensive_log_softmax_with_dtype_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0696153Z   test_comprehensive_log_softmax_with_dtype_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0696307Z   test_comprehensive_log_softmax_with_dtype_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0696462Z   test_comprehensive_log_softmax_with_dtype_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0696609Z   test_comprehensive_logaddexp2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0696744Z   test_comprehensive_logaddexp2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0696892Z   test_comprehensive_logaddexp2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0697036Z   test_comprehensive_logaddexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0697231Z   test_comprehensive_logaddexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0697402Z   test_comprehensive_logaddexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0697555Z   test_comprehensive_logcumsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0697704Z   test_comprehensive_logcumsumexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.810s)
2023-01-11T21:35:33.0697849Z   test_comprehensive_logcumsumexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.804s)
2023-01-11T21:35:33.0697996Z   test_comprehensive_logdet_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.222s)
2023-01-11T21:35:33.0698129Z   test_comprehensive_logdet_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.232s)
2023-01-11T21:35:33.0698271Z   test_comprehensive_logdet_cpu_float32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.0698412Z   test_comprehensive_logdet_cpu_float64 (__main__.TestDecompCPU) ... ok (0.091s)
2023-01-11T21:35:33.0698564Z   test_comprehensive_logical_and_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0698711Z   test_comprehensive_logical_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0698863Z   test_comprehensive_logical_and_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0699013Z   test_comprehensive_logical_and_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0699160Z   test_comprehensive_logical_and_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0699290Z   test_comprehensive_logical_and_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0699433Z   test_comprehensive_logical_and_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0699576Z   test_comprehensive_logical_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0699715Z   test_comprehensive_logical_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0699854Z   test_comprehensive_logical_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0700001Z   test_comprehensive_logical_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0700138Z   test_comprehensive_logical_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0700285Z   test_comprehensive_logical_not_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0700413Z   test_comprehensive_logical_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0700563Z   test_comprehensive_logical_not_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0700712Z   test_comprehensive_logical_not_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0700858Z   test_comprehensive_logical_not_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0701000Z   test_comprehensive_logical_not_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0701144Z   test_comprehensive_logical_not_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0701290Z   test_comprehensive_logical_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0701428Z   test_comprehensive_logical_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0701565Z   test_comprehensive_logical_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0701696Z   test_comprehensive_logical_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0701836Z   test_comprehensive_logical_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0701979Z   test_comprehensive_logical_or_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0702121Z   test_comprehensive_logical_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0702271Z   test_comprehensive_logical_or_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0702450Z   test_comprehensive_logical_or_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0702625Z   test_comprehensive_logical_or_cpu_float16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0702771Z   test_comprehensive_logical_or_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.0702899Z   test_comprehensive_logical_or_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0703043Z   test_comprehensive_logical_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0703181Z   test_comprehensive_logical_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0703317Z   test_comprehensive_logical_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0703455Z   test_comprehensive_logical_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0703597Z   test_comprehensive_logical_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0703746Z   test_comprehensive_logical_xor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0703894Z   test_comprehensive_logical_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0704033Z   test_comprehensive_logical_xor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.0704183Z   test_comprehensive_logical_xor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0704328Z   test_comprehensive_logical_xor_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0704470Z   test_comprehensive_logical_xor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0704608Z   test_comprehensive_logical_xor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0704750Z   test_comprehensive_logical_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0704889Z   test_comprehensive_logical_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0705028Z   test_comprehensive_logical_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0705159Z   test_comprehensive_logical_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0705306Z   test_comprehensive_logical_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0705444Z   test_comprehensive_logit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0705582Z   test_comprehensive_logit_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0705719Z   test_comprehensive_logit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0705860Z   test_comprehensive_logit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0706000Z   test_comprehensive_logit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0706135Z   test_comprehensive_logit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0706270Z   test_comprehensive_logit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0706395Z   test_comprehensive_logit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0706529Z   test_comprehensive_logit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0706673Z   test_comprehensive_logspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.0706822Z   test_comprehensive_logspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.265s)
2023-01-11T21:35:33.0706969Z   test_comprehensive_logspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.275s)
2023-01-11T21:35:33.0707112Z   test_comprehensive_logspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.243s)
2023-01-11T21:35:33.0707254Z   test_comprehensive_logspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.224s)
2023-01-11T21:35:33.0707396Z   test_comprehensive_logspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.177s)
2023-01-11T21:35:33.0707562Z   test_comprehensive_logspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.178s)
2023-01-11T21:35:33.0707703Z   test_comprehensive_logspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.166s)
2023-01-11T21:35:33.0707877Z   test_comprehensive_logspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.0708020Z   test_comprehensive_logspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0708166Z   test_comprehensive_logsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0708304Z   test_comprehensive_logsumexp_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0708448Z   test_comprehensive_logsumexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.218s)
2023-01-11T21:35:33.0708633Z   test_comprehensive_logsumexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.212s)
2023-01-11T21:35:33.0708764Z   test_comprehensive_logsumexp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0708908Z   test_comprehensive_logsumexp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0709047Z   test_comprehensive_logsumexp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0709190Z   test_comprehensive_logsumexp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0709328Z   test_comprehensive_logsumexp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0709469Z   test_comprehensive_long_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0709604Z   test_comprehensive_long_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0709742Z   test_comprehensive_long_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0709870Z   test_comprehensive_long_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0710008Z   test_comprehensive_long_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0710147Z   test_comprehensive_long_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0710286Z   test_comprehensive_long_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0710424Z   test_comprehensive_long_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0710560Z   test_comprehensive_long_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0710695Z   test_comprehensive_long_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0710829Z   test_comprehensive_long_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0710950Z   test_comprehensive_long_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0711085Z   test_comprehensive_long_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0711220Z   test_comprehensive_lt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0711352Z   test_comprehensive_lt_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0711487Z   test_comprehensive_lt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0711621Z   test_comprehensive_lt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0711758Z   test_comprehensive_lt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0711892Z   test_comprehensive_lt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0712013Z   test_comprehensive_lt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0712144Z   test_comprehensive_lt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0712275Z   test_comprehensive_lt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0712407Z   test_comprehensive_lt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0712547Z   test_comprehensive_lu_cpu_complex128 (__main__.TestDecompCPU) ... ok (8.509s)
2023-01-11T21:35:33.0712688Z   test_comprehensive_lu_cpu_complex64 (__main__.TestDecompCPU) ... ok (8.779s)
2023-01-11T21:35:33.0712859Z   test_comprehensive_lu_cpu_float32 (__main__.TestDecompCPU) ... ok (5.098s)
2023-01-11T21:35:33.0712993Z   test_comprehensive_lu_cpu_float64 (__main__.TestDecompCPU) ... ok (4.896s)
2023-01-11T21:35:33.0713161Z   test_comprehensive_lu_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.250s)
2023-01-11T21:35:33.0713310Z   test_comprehensive_lu_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.273s)
2023-01-11T21:35:33.0713452Z   test_comprehensive_lu_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.928s)
2023-01-11T21:35:33.0713654Z   test_comprehensive_lu_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.859s)
2023-01-11T21:35:33.0713805Z   test_comprehensive_lu_unpack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.976s)
2023-01-11T21:35:33.0713951Z   test_comprehensive_lu_unpack_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.049s)
2023-01-11T21:35:33.0714096Z   test_comprehensive_lu_unpack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.621s)
2023-01-11T21:35:33.0714238Z   test_comprehensive_lu_unpack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.576s)
2023-01-11T21:35:33.0714363Z   test_comprehensive_mH_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0714498Z   test_comprehensive_mH_cpu_bool (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0714637Z   test_comprehensive_mH_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.624s)
2023-01-11T21:35:33.0714777Z   test_comprehensive_mH_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.198s)
2023-01-11T21:35:33.0714918Z   test_comprehensive_mH_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.521s)
2023-01-11T21:35:33.0715055Z   test_comprehensive_mH_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0715189Z   test_comprehensive_mH_cpu_float32 (__main__.TestDecompCPU) ... ok (0.178s)
2023-01-11T21:35:33.0715321Z   test_comprehensive_mH_cpu_float64 (__main__.TestDecompCPU) ... ok (0.175s)
2023-01-11T21:35:33.0715440Z   test_comprehensive_mH_cpu_int16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0715574Z   test_comprehensive_mH_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0715703Z   test_comprehensive_mH_cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0715839Z   test_comprehensive_mH_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0715971Z   test_comprehensive_mH_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0716107Z   test_comprehensive_mT_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0716239Z   test_comprehensive_mT_cpu_bool (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0716378Z   test_comprehensive_mT_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.321s)
2023-01-11T21:35:33.0716506Z   test_comprehensive_mT_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.151s)
2023-01-11T21:35:33.0716642Z   test_comprehensive_mT_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.328s)
2023-01-11T21:35:33.0716778Z   test_comprehensive_mT_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0716914Z   test_comprehensive_mT_cpu_float32 (__main__.TestDecompCPU) ... ok (0.179s)
2023-01-11T21:35:33.0717047Z   test_comprehensive_mT_cpu_float64 (__main__.TestDecompCPU) ... ok (0.176s)
2023-01-11T21:35:33.0717179Z   test_comprehensive_mT_cpu_int16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0717313Z   test_comprehensive_mT_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0717442Z   test_comprehensive_mT_cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0717560Z   test_comprehensive_mT_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0717691Z   test_comprehensive_mT_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0717840Z   test_comprehensive_masked_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.552s)
2023-01-11T21:35:33.0717985Z   test_comprehensive_masked_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.545s)
2023-01-11T21:35:33.0718164Z   test_comprehensive_masked_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (1.485s)
2023-01-11T21:35:33.0718303Z   test_comprehensive_masked_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (1.429s)
2023-01-11T21:35:33.0718480Z   test_comprehensive_masked_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.313s)
2023-01-11T21:35:33.0718620Z   test_comprehensive_masked_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.313s)
2023-01-11T21:35:33.0718756Z   test_comprehensive_masked_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.305s)
2023-01-11T21:35:33.0718887Z   test_comprehensive_masked_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.312s)
2023-01-11T21:35:33.0719025Z   test_comprehensive_masked_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.313s)
2023-01-11T21:35:33.0719169Z   test_comprehensive_masked_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.551s)
2023-01-11T21:35:33.0719314Z   test_comprehensive_masked_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.550s)
2023-01-11T21:35:33.0719457Z   test_comprehensive_masked_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (1.607s)
2023-01-11T21:35:33.0719595Z   test_comprehensive_masked_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (1.437s)
2023-01-11T21:35:33.0719739Z   test_comprehensive_masked_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.320s)
2023-01-11T21:35:33.0719874Z   test_comprehensive_masked_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.315s)
2023-01-11T21:35:33.0719997Z   test_comprehensive_masked_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.307s)
2023-01-11T21:35:33.0720141Z   test_comprehensive_masked_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.315s)
2023-01-11T21:35:33.0720283Z   test_comprehensive_masked_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.316s)
2023-01-11T21:35:33.0720436Z   test_comprehensive_masked_argmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.0720582Z   test_comprehensive_masked_argmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.0720733Z   test_comprehensive_masked_argmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.281s)
2023-01-11T21:35:33.0720877Z   test_comprehensive_masked_argmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.268s)
2023-01-11T21:35:33.0721023Z   test_comprehensive_masked_argmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.170s)
2023-01-11T21:35:33.0721152Z   test_comprehensive_masked_argmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.170s)
2023-01-11T21:35:33.0721292Z   test_comprehensive_masked_argmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.0721438Z   test_comprehensive_masked_argmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.170s)
2023-01-11T21:35:33.0721578Z   test_comprehensive_masked_argmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.172s)
2023-01-11T21:35:33.0721728Z   test_comprehensive_masked_argmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.0721874Z   test_comprehensive_masked_argmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.0722022Z   test_comprehensive_masked_argmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.281s)
2023-01-11T21:35:33.0722170Z   test_comprehensive_masked_argmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.272s)
2023-01-11T21:35:33.0722313Z   test_comprehensive_masked_argmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.174s)
2023-01-11T21:35:33.0722445Z   test_comprehensive_masked_argmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.177s)
2023-01-11T21:35:33.0722583Z   test_comprehensive_masked_argmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.0722728Z   test_comprehensive_masked_argmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.185s)
2023-01-11T21:35:33.0722866Z   test_comprehensive_masked_argmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.176s)
2023-01-11T21:35:33.0723022Z   test_comprehensive_masked_cumprod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.281s)
2023-01-11T21:35:33.0723181Z   test_comprehensive_masked_cumprod_cpu_complex128 (__main__.TestDecompCPU) ... ok (8.040s)
2023-01-11T21:35:33.0723497Z   test_comprehensive_masked_cumprod_cpu_complex64 (__main__.TestDecompCPU) ... ok (7.321s)
2023-01-11T21:35:33.0723718Z   test_comprehensive_masked_cumprod_cpu_float32 (__main__.TestDecompCPU) ... ok (3.975s)
2023-01-11T21:35:33.0723859Z   test_comprehensive_masked_cumprod_cpu_float64 (__main__.TestDecompCPU) ... ok (3.954s)
2023-01-11T21:35:33.0724010Z   test_comprehensive_masked_cumprod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.172s)
2023-01-11T21:35:33.0724156Z   test_comprehensive_masked_cumprod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.0724299Z   test_comprehensive_masked_cumprod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.0724444Z   test_comprehensive_masked_cumprod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.148s)
2023-01-11T21:35:33.0724590Z   test_comprehensive_masked_cumprod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.148s)
2023-01-11T21:35:33.0724740Z   test_comprehensive_masked_cumsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.0724893Z   test_comprehensive_masked_cumsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.367s)
2023-01-11T21:35:33.0725036Z   test_comprehensive_masked_cumsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.434s)
2023-01-11T21:35:33.0725185Z   test_comprehensive_masked_cumsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.846s)
2023-01-11T21:35:33.0725331Z   test_comprehensive_masked_cumsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.839s)
2023-01-11T21:35:33.0725475Z   test_comprehensive_masked_cumsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.213s)
2023-01-11T21:35:33.0725615Z   test_comprehensive_masked_cumsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.209s)
2023-01-11T21:35:33.0725758Z   test_comprehensive_masked_cumsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.0725902Z   test_comprehensive_masked_cumsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.210s)
2023-01-11T21:35:33.0726047Z   test_comprehensive_masked_cumsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.209s)
2023-01-11T21:35:33.0726192Z   test_comprehensive_masked_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0726327Z   test_comprehensive_masked_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0726477Z   test_comprehensive_masked_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.112s)
2023-01-11T21:35:33.0726627Z   test_comprehensive_masked_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0726778Z   test_comprehensive_masked_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.0726924Z   test_comprehensive_masked_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0727064Z   test_comprehensive_masked_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.0727201Z   test_comprehensive_masked_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0727348Z   test_comprehensive_masked_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0727475Z   test_comprehensive_masked_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0727613Z   test_comprehensive_masked_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0727753Z   test_comprehensive_masked_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0727891Z   test_comprehensive_masked_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0728047Z   test_comprehensive_masked_log_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0728202Z   test_comprehensive_masked_log_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.632s)
2023-01-11T21:35:33.0728357Z   test_comprehensive_masked_log_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.610s)
2023-01-11T21:35:33.0728514Z   test_comprehensive_masked_logaddexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.0728710Z   test_comprehensive_masked_logaddexp_cpu_float32 (__main__.TestDecompCPU) ... ok (1.635s)
2023-01-11T21:35:33.0728880Z   test_comprehensive_masked_logaddexp_cpu_float64 (__main__.TestDecompCPU) ... ok (1.774s)
2023-01-11T21:35:33.0729054Z   test_comprehensive_masked_logsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Skipped! (0.001s)
2023-01-11T21:35:33.0729223Z   test_comprehensive_masked_logsumexp_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0729392Z   test_comprehensive_masked_logsumexp_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0729560Z   test_comprehensive_masked_logsumexp_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0729723Z   test_comprehensive_masked_logsumexp_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0729888Z   test_comprehensive_masked_logsumexp_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0730052Z   test_comprehensive_masked_logsumexp_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0730204Z   test_comprehensive_masked_logsumexp_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s)
2023-01-11T21:35:33.0730350Z   test_comprehensive_masked_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.634s)
2023-01-11T21:35:33.0730493Z   test_comprehensive_masked_mean_cpu_bool (__main__.TestDecompCPU) ... ok (0.848s)
2023-01-11T21:35:33.0730643Z   test_comprehensive_masked_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.092s)
2023-01-11T21:35:33.0730792Z   test_comprehensive_masked_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.133s)
2023-01-11T21:35:33.0730937Z   test_comprehensive_masked_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.576s)
2023-01-11T21:35:33.0731080Z   test_comprehensive_masked_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (1.599s)
2023-01-11T21:35:33.0731222Z   test_comprehensive_masked_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (1.499s)
2023-01-11T21:35:33.0731366Z   test_comprehensive_masked_mean_cpu_int16 (__main__.TestDecompCPU) ... ok (0.758s)
2023-01-11T21:35:33.0731496Z   test_comprehensive_masked_mean_cpu_int32 (__main__.TestDecompCPU) ... ok (0.742s)
2023-01-11T21:35:33.0731635Z   test_comprehensive_masked_mean_cpu_int64 (__main__.TestDecompCPU) ... ok (0.756s)
2023-01-11T21:35:33.0731776Z   test_comprehensive_masked_mean_cpu_int8 (__main__.TestDecompCPU) ... ok (0.772s)
2023-01-11T21:35:33.0731914Z   test_comprehensive_masked_mean_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.771s)
2023-01-11T21:35:33.0732065Z   test_comprehensive_masked_median_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0732211Z   test_comprehensive_masked_median_cpu_float32 (__main__.TestDecompCPU) ... ok (0.380s)
2023-01-11T21:35:33.0732361Z   test_comprehensive_masked_median_cpu_float64 (__main__.TestDecompCPU) ... ok (0.379s)
2023-01-11T21:35:33.0732515Z   test_comprehensive_masked_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (2.875s)
2023-01-11T21:35:33.0732647Z   test_comprehensive_masked_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (3.359s)
2023-01-11T21:35:33.0732796Z   test_comprehensive_masked_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (10.152s)
2023-01-11T21:35:33.0732939Z   test_comprehensive_masked_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (9.038s)
2023-01-11T21:35:33.0733093Z   test_comprehensive_masked_normalize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.539s)
2023-01-11T21:35:33.0733252Z   test_comprehensive_masked_normalize_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.924s)
2023-01-11T21:35:33.0733407Z   test_comprehensive_masked_normalize_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.033s)
2023-01-11T21:35:33.0733558Z   test_comprehensive_masked_normalize_cpu_float16 (__main__.TestDecompCPU) ... ok (0.569s)
2023-01-11T21:35:33.0733708Z   test_comprehensive_masked_normalize_cpu_float32 (__main__.TestDecompCPU) ... ok (2.716s)
2023-01-11T21:35:33.0733903Z   test_comprehensive_masked_normalize_cpu_float64 (__main__.TestDecompCPU) ... ok (2.630s)
2023-01-11T21:35:33.0734083Z   test_comprehensive_masked_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.824s)
2023-01-11T21:35:33.0734231Z   test_comprehensive_masked_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.443s)
2023-01-11T21:35:33.0734380Z   test_comprehensive_masked_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (5.468s)
2023-01-11T21:35:33.0734530Z   test_comprehensive_masked_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (6.596s)
2023-01-11T21:35:33.0734675Z   test_comprehensive_masked_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (4.202s)
2023-01-11T21:35:33.0734819Z   test_comprehensive_masked_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (3.998s)
2023-01-11T21:35:33.0734963Z   test_comprehensive_masked_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.513s)
2023-01-11T21:35:33.0735103Z   test_comprehensive_masked_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.512s)
2023-01-11T21:35:33.0735230Z   test_comprehensive_masked_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.413s)
2023-01-11T21:35:33.0735375Z   test_comprehensive_masked_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.512s)
2023-01-11T21:35:33.0735520Z   test_comprehensive_masked_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.510s)
2023-01-11T21:35:33.0735672Z   test_comprehensive_masked_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0735816Z   test_comprehensive_masked_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0735970Z   test_comprehensive_masked_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.0736123Z   test_comprehensive_masked_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0736272Z   test_comprehensive_masked_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0736409Z   test_comprehensive_masked_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0736561Z   test_comprehensive_masked_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0736707Z   test_comprehensive_masked_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0736850Z   test_comprehensive_masked_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0736997Z   test_comprehensive_masked_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0737139Z   test_comprehensive_masked_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0737285Z   test_comprehensive_masked_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0737434Z   test_comprehensive_masked_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0737582Z   test_comprehensive_masked_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0737726Z   test_comprehensive_masked_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.268s)
2023-01-11T21:35:33.0737881Z   test_comprehensive_masked_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.266s)
2023-01-11T21:35:33.0738031Z   test_comprehensive_masked_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0738180Z   test_comprehensive_masked_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.151s)
2023-01-11T21:35:33.0738325Z   test_comprehensive_masked_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.142s)
2023-01-11T21:35:33.0738471Z   test_comprehensive_masked_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0738611Z   test_comprehensive_masked_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0738749Z   test_comprehensive_masked_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0738882Z   test_comprehensive_masked_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0739058Z   test_comprehensive_masked_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0739207Z   test_comprehensive_masked_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0739423Z   test_comprehensive_masked_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.611s)
2023-01-11T21:35:33.0739575Z   test_comprehensive_masked_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.580s)
2023-01-11T21:35:33.0739725Z   test_comprehensive_masked_softmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.0739875Z   test_comprehensive_masked_softmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.787s)
2023-01-11T21:35:33.0740019Z   test_comprehensive_masked_softmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.738s)
2023-01-11T21:35:33.0740148Z   test_comprehensive_masked_std_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.938s)
2023-01-11T21:35:33.0740298Z   test_comprehensive_masked_std_cpu_complex128 (__main__.TestDecompCPU) ... ok (10.238s)
2023-01-11T21:35:33.0740449Z   test_comprehensive_masked_std_cpu_complex64 (__main__.TestDecompCPU) ... ok (10.084s)
2023-01-11T21:35:33.0740593Z   test_comprehensive_masked_std_cpu_float32 (__main__.TestDecompCPU) ... ok (6.144s)
2023-01-11T21:35:33.0740741Z   test_comprehensive_masked_std_cpu_float64 (__main__.TestDecompCPU) ... ok (5.590s)
2023-01-11T21:35:33.0740884Z   test_comprehensive_masked_std_cpu_int16 (__main__.TestDecompCPU) ... ok (2.668s)
2023-01-11T21:35:33.0741022Z   test_comprehensive_masked_std_cpu_int32 (__main__.TestDecompCPU) ... ok (2.704s)
2023-01-11T21:35:33.0741158Z   test_comprehensive_masked_std_cpu_int64 (__main__.TestDecompCPU) ... ok (2.579s)
2023-01-11T21:35:33.0741299Z   test_comprehensive_masked_std_cpu_int8 (__main__.TestDecompCPU) ... ok (2.572s)
2023-01-11T21:35:33.0741428Z   test_comprehensive_masked_std_cpu_uint8 (__main__.TestDecompCPU) ... ok (2.581s)
2023-01-11T21:35:33.0741573Z   test_comprehensive_masked_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.256s)
2023-01-11T21:35:33.0741717Z   test_comprehensive_masked_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.319s)
2023-01-11T21:35:33.0741864Z   test_comprehensive_masked_sum_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.365s)
2023-01-11T21:35:33.0742014Z   test_comprehensive_masked_sum_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.417s)
2023-01-11T21:35:33.0742164Z   test_comprehensive_masked_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.260s)
2023-01-11T21:35:33.0742306Z   test_comprehensive_masked_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.947s)
2023-01-11T21:35:33.0742446Z   test_comprehensive_masked_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.909s)
2023-01-11T21:35:33.0742575Z   test_comprehensive_masked_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.316s)
2023-01-11T21:35:33.0742713Z   test_comprehensive_masked_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.317s)
2023-01-11T21:35:33.0742848Z   test_comprehensive_masked_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.305s)
2023-01-11T21:35:33.0742989Z   test_comprehensive_masked_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.317s)
2023-01-11T21:35:33.0743131Z   test_comprehensive_masked_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.316s)
2023-01-11T21:35:33.0743277Z   test_comprehensive_masked_var_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.892s)
2023-01-11T21:35:33.0743426Z   test_comprehensive_masked_var_cpu_complex128 (__main__.TestDecompCPU) ... ok (10.100s)
2023-01-11T21:35:33.0743574Z   test_comprehensive_masked_var_cpu_complex64 (__main__.TestDecompCPU) ... ok (9.884s)
2023-01-11T21:35:33.0743703Z   test_comprehensive_masked_var_cpu_float16 (__main__.TestDecompCPU) ... ok (0.967s)
2023-01-11T21:35:33.0743846Z   test_comprehensive_masked_var_cpu_float32 (__main__.TestDecompCPU) ... ok (5.907s)
2023-01-11T21:35:33.0743986Z   test_comprehensive_masked_var_cpu_float64 (__main__.TestDecompCPU) ... ok (5.437s)
2023-01-11T21:35:33.0744128Z   test_comprehensive_masked_var_cpu_int16 (__main__.TestDecompCPU) ... ok (2.424s)
2023-01-11T21:35:33.0744302Z   test_comprehensive_masked_var_cpu_int32 (__main__.TestDecompCPU) ... ok (2.426s)
2023-01-11T21:35:33.0744438Z   test_comprehensive_masked_var_cpu_int64 (__main__.TestDecompCPU) ... ok (2.403s)
2023-01-11T21:35:33.0744605Z   test_comprehensive_masked_var_cpu_int8 (__main__.TestDecompCPU) ... ok (2.571s)
2023-01-11T21:35:33.0744746Z   test_comprehensive_masked_var_cpu_uint8 (__main__.TestDecompCPU) ... ok (2.846s)
2023-01-11T21:35:33.0744875Z   test_comprehensive_matmul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.0745019Z   test_comprehensive_matmul_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.709s)
2023-01-11T21:35:33.0745158Z   test_comprehensive_matmul_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.457s)
2023-01-11T21:35:33.0745300Z   test_comprehensive_matmul_cpu_float32 (__main__.TestDecompCPU) ... ok (1.215s)
2023-01-11T21:35:33.0745443Z   test_comprehensive_matmul_cpu_float64 (__main__.TestDecompCPU) ... ok (1.214s)
2023-01-11T21:35:33.0745582Z   test_comprehensive_matmul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.490s)
2023-01-11T21:35:33.0745718Z   test_comprehensive_matmul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.490s)
2023-01-11T21:35:33.0745858Z   test_comprehensive_matmul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.486s)
2023-01-11T21:35:33.0745994Z   test_comprehensive_matmul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.486s)
2023-01-11T21:35:33.0746117Z   test_comprehensive_matmul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.487s)
2023-01-11T21:35:33.0746263Z   test_comprehensive_matrix_exp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0746411Z   test_comprehensive_matrix_exp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.285s)
2023-01-11T21:35:33.0746558Z   test_comprehensive_matrix_exp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.291s)
2023-01-11T21:35:33.0746702Z   test_comprehensive_matrix_exp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0746845Z   test_comprehensive_matrix_exp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.0746988Z   test_comprehensive_max_binary_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.197s)
2023-01-11T21:35:33.0747133Z   test_comprehensive_max_binary_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0747267Z   test_comprehensive_max_binary_cpu_float16 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.0747406Z   test_comprehensive_max_binary_cpu_float32 (__main__.TestDecompCPU) ... ok (1.135s)
2023-01-11T21:35:33.0747544Z   test_comprehensive_max_binary_cpu_float64 (__main__.TestDecompCPU) ... ok (1.171s)
2023-01-11T21:35:33.0747684Z   test_comprehensive_max_binary_cpu_int16 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.0747823Z   test_comprehensive_max_binary_cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0747963Z   test_comprehensive_max_binary_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0748105Z   test_comprehensive_max_binary_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0748247Z   test_comprehensive_max_binary_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0748413Z   test_comprehensive_max_pool2d_with_indices_backward_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.619s)
2023-01-11T21:35:33.0748587Z   test_comprehensive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestDecompCPU) ... ok (1.665s)
2023-01-11T21:35:33.0748757Z   test_comprehensive_max_pool2d_with_indices_backward_cpu_float64 (__main__.TestDecompCPU) ... ok (1.535s)
2023-01-11T21:35:33.0748916Z   test_comprehensive_max_reduction_no_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0749069Z   test_comprehensive_max_reduction_no_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0749227Z   test_comprehensive_max_reduction_no_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0749382Z   test_comprehensive_max_reduction_no_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0749568Z   test_comprehensive_max_reduction_no_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.0749755Z   test_comprehensive_max_reduction_no_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0749896Z   test_comprehensive_max_reduction_no_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0750046Z   test_comprehensive_max_reduction_no_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0750196Z   test_comprehensive_max_reduction_no_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0750348Z   test_comprehensive_max_reduction_no_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0750507Z   test_comprehensive_max_reduction_with_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0750662Z   test_comprehensive_max_reduction_with_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0750823Z   test_comprehensive_max_reduction_with_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0750984Z   test_comprehensive_max_reduction_with_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0751129Z   test_comprehensive_max_reduction_with_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0751283Z   test_comprehensive_max_reduction_with_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0751436Z   test_comprehensive_max_reduction_with_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0751589Z   test_comprehensive_max_reduction_with_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0751743Z   test_comprehensive_max_reduction_with_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0751895Z   test_comprehensive_max_reduction_with_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0752042Z   test_comprehensive_maximum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.197s)
2023-01-11T21:35:33.0752182Z   test_comprehensive_maximum_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0752327Z   test_comprehensive_maximum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.222s)
2023-01-11T21:35:33.0752457Z   test_comprehensive_maximum_cpu_float32 (__main__.TestDecompCPU) ... ok (1.196s)
2023-01-11T21:35:33.0752598Z   test_comprehensive_maximum_cpu_float64 (__main__.TestDecompCPU) ... ok (1.145s)
2023-01-11T21:35:33.0752738Z   test_comprehensive_maximum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0752875Z   test_comprehensive_maximum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0753014Z   test_comprehensive_maximum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0753151Z   test_comprehensive_maximum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0753291Z   test_comprehensive_maximum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0753426Z   test_comprehensive_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0753558Z   test_comprehensive_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.207s)
2023-01-11T21:35:33.0753764Z   test_comprehensive_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.218s)
2023-01-11T21:35:33.0753909Z   test_comprehensive_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0754046Z   test_comprehensive_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.0754181Z   test_comprehensive_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0754324Z   test_comprehensive_median_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0754464Z   test_comprehensive_median_cpu_float32 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0754603Z   test_comprehensive_median_cpu_float64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.0754764Z   test_comprehensive_median_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0754900Z   test_comprehensive_median_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0755066Z   test_comprehensive_median_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0755204Z   test_comprehensive_median_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0755338Z   test_comprehensive_median_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0755554Z   test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0755765Z   test_comprehensive_meshgrid_list_of_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s)
2023-01-11T21:35:33.0755984Z   test_comprehensive_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0756202Z   test_comprehensive_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0756400Z   test_comprehensive_meshgrid_list_of_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0756608Z   test_comprehensive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0756808Z   test_comprehensive_meshgrid_list_of_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0757011Z   test_comprehensive_meshgrid_list_of_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0757210Z   test_comprehensive_meshgrid_list_of_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0757414Z   test_comprehensive_meshgrid_list_of_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0757618Z   test_comprehensive_meshgrid_list_of_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0757817Z   test_comprehensive_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0758030Z   test_comprehensive_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0758235Z   test_comprehensive_meshgrid_variadic_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s)
2023-01-11T21:35:33.0758452Z   test_comprehensive_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0758659Z   test_comprehensive_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0758869Z   test_comprehensive_meshgrid_variadic_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0759081Z   test_comprehensive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0759289Z   test_comprehensive_meshgrid_variadic_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0759492Z   test_comprehensive_meshgrid_variadic_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0759694Z   test_comprehensive_meshgrid_variadic_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0759930Z   test_comprehensive_meshgrid_variadic_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0760165Z   test_comprehensive_meshgrid_variadic_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0760375Z   test_comprehensive_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0760522Z   test_comprehensive_min_binary_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.195s)
2023-01-11T21:35:33.0760652Z   test_comprehensive_min_binary_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0760799Z   test_comprehensive_min_binary_cpu_float16 (__main__.TestDecompCPU) ... ok (0.202s)
2023-01-11T21:35:33.0760941Z   test_comprehensive_min_binary_cpu_float32 (__main__.TestDecompCPU) ... ok (1.098s)
2023-01-11T21:35:33.0761088Z   test_comprehensive_min_binary_cpu_float64 (__main__.TestDecompCPU) ... ok (1.080s)
2023-01-11T21:35:33.0761228Z   test_comprehensive_min_binary_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0761370Z   test_comprehensive_min_binary_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0761506Z   test_comprehensive_min_binary_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0761646Z   test_comprehensive_min_binary_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0761787Z   test_comprehensive_min_binary_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0761934Z   test_comprehensive_min_reduction_no_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0762090Z   test_comprehensive_min_reduction_no_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0762245Z   test_comprehensive_min_reduction_no_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0762401Z   test_comprehensive_min_reduction_no_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0762558Z   test_comprehensive_min_reduction_no_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0762710Z   test_comprehensive_min_reduction_no_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0762861Z   test_comprehensive_min_reduction_no_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0763007Z   test_comprehensive_min_reduction_no_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0763143Z   test_comprehensive_min_reduction_no_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0763290Z   test_comprehensive_min_reduction_no_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0763598Z   test_comprehensive_min_reduction_with_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0763762Z   test_comprehensive_min_reduction_with_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0763920Z   test_comprehensive_min_reduction_with_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0764078Z   test_comprehensive_min_reduction_with_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0764236Z   test_comprehensive_min_reduction_with_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0764389Z   test_comprehensive_min_reduction_with_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0764542Z   test_comprehensive_min_reduction_with_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0764683Z   test_comprehensive_min_reduction_with_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0764840Z   test_comprehensive_min_reduction_with_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0764990Z   test_comprehensive_min_reduction_with_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0765189Z   test_comprehensive_minimum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.193s)
2023-01-11T21:35:33.0765366Z   test_comprehensive_minimum_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0765510Z   test_comprehensive_minimum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.201s)
2023-01-11T21:35:33.0765652Z   test_comprehensive_minimum_cpu_float32 (__main__.TestDecompCPU) ... ok (1.099s)
2023-01-11T21:35:33.0765791Z   test_comprehensive_minimum_cpu_float64 (__main__.TestDecompCPU) ... ok (1.115s)
2023-01-11T21:35:33.0765919Z   test_comprehensive_minimum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0766058Z   test_comprehensive_minimum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0766197Z   test_comprehensive_minimum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0766334Z   test_comprehensive_minimum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0766473Z   test_comprehensive_minimum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0766612Z   test_comprehensive_mm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0766751Z   test_comprehensive_mm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.0766888Z   test_comprehensive_mm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0767012Z   test_comprehensive_mm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0767148Z   test_comprehensive_mm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0767279Z   test_comprehensive_mm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0767410Z   test_comprehensive_mm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0767540Z   test_comprehensive_mm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0767674Z   test_comprehensive_mm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0767805Z   test_comprehensive_mm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0767947Z   test_comprehensive_mode_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0768071Z   test_comprehensive_mode_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0768209Z   test_comprehensive_mode_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0768346Z   test_comprehensive_mode_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0768481Z   test_comprehensive_mode_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0768618Z   test_comprehensive_mode_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0768752Z   test_comprehensive_mode_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0768886Z   test_comprehensive_mode_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0769023Z   test_comprehensive_mode_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0769142Z   test_comprehensive_mode_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0769288Z   test_comprehensive_movedim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0769425Z   test_comprehensive_movedim_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0769575Z   test_comprehensive_movedim_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0769720Z   test_comprehensive_movedim_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0769859Z   test_comprehensive_movedim_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0770003Z   test_comprehensive_movedim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0770143Z   test_comprehensive_movedim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0770344Z   test_comprehensive_movedim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0770471Z   test_comprehensive_movedim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0770637Z   test_comprehensive_movedim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0770777Z   test_comprehensive_movedim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0770913Z   test_comprehensive_movedim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0771050Z   test_comprehensive_movedim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0771194Z   test_comprehensive_msort_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0771331Z   test_comprehensive_msort_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0771468Z   test_comprehensive_msort_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0771593Z   test_comprehensive_msort_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0771732Z   test_comprehensive_msort_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0771871Z   test_comprehensive_msort_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0772008Z   test_comprehensive_msort_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0772143Z   test_comprehensive_msort_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0772282Z   test_comprehensive_msort_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0772413Z   test_comprehensive_msort_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0772547Z   test_comprehensive_mul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0772670Z   test_comprehensive_mul_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0772811Z   test_comprehensive_mul_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.037s)
2023-01-11T21:35:33.0772953Z   test_comprehensive_mul_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.136s)
2023-01-11T21:35:33.0773091Z   test_comprehensive_mul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.985s)
2023-01-11T21:35:33.0773230Z   test_comprehensive_mul_cpu_float16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0773366Z   test_comprehensive_mul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.503s)
2023-01-11T21:35:33.0773501Z   test_comprehensive_mul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.534s)
2023-01-11T21:35:33.0773633Z   test_comprehensive_mul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0773755Z   test_comprehensive_mul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0773888Z   test_comprehensive_mul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0774023Z   test_comprehensive_mul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0774154Z   test_comprehensive_mul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0774305Z   test_comprehensive_multinomial_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0774453Z   test_comprehensive_multinomial_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0774599Z   test_comprehensive_multinomial_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0774735Z   test_comprehensive_mv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0774860Z   test_comprehensive_mv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.0774998Z   test_comprehensive_mv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.0775132Z   test_comprehensive_mv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0775267Z   test_comprehensive_mv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0775400Z   test_comprehensive_mv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0775566Z   test_comprehensive_mv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0775697Z   test_comprehensive_mv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0775860Z   test_comprehensive_mv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0775979Z   test_comprehensive_mv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0776143Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0776305Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.0776466Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.204s)
2023-01-11T21:35:33.0776624Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0776778Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0776934Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0777089Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0777231Z   test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0777391Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0777549Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.224s)
2023-01-11T21:35:33.0777705Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.199s)
2023-01-11T21:35:33.0777857Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0778007Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0778158Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0778311Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0778482Z   test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0778631Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0778789Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestDecompCPU) ... ok (0.214s)
2023-01-11T21:35:33.0778946Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestDecompCPU) ... ok (0.219s)
2023-01-11T21:35:33.0779100Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0779251Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0779400Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0779555Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0779707Z   test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0779852Z   test_comprehensive_nan_to_num_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0779981Z   test_comprehensive_nan_to_num_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0780126Z   test_comprehensive_nan_to_num_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0780268Z   test_comprehensive_nan_to_num_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0780405Z   test_comprehensive_nan_to_num_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0780547Z   test_comprehensive_nan_to_num_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0780689Z   test_comprehensive_nan_to_num_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0780863Z   test_comprehensive_nan_to_num_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0781036Z   test_comprehensive_nan_to_num_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0781168Z   test_comprehensive_nan_to_num_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0781311Z   test_comprehensive_nanmean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.276s)
2023-01-11T21:35:33.0781455Z   test_comprehensive_nanmean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.296s)
2023-01-11T21:35:33.0781597Z   test_comprehensive_nanmean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.565s)
2023-01-11T21:35:33.0781735Z   test_comprehensive_nanmean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.513s)
2023-01-11T21:35:33.0781883Z   test_comprehensive_nanmedian_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0782028Z   test_comprehensive_nanmedian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0782175Z   test_comprehensive_nanmedian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0782306Z   test_comprehensive_nanmedian_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0782446Z   test_comprehensive_nanmedian_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0782586Z   test_comprehensive_nanmedian_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0782727Z   test_comprehensive_nanmedian_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0782870Z   test_comprehensive_nanmedian_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0783017Z   test_comprehensive_nanquantile_cpu_float32 (__main__.TestDecompCPU) ... ok (3.231s)
2023-01-11T21:35:33.0783161Z   test_comprehensive_nanquantile_cpu_float64 (__main__.TestDecompCPU) ... ok (3.226s)
2023-01-11T21:35:33.0783299Z   test_comprehensive_nansum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.0783427Z   test_comprehensive_nansum_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0783567Z   test_comprehensive_nansum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.0783709Z   test_comprehensive_nansum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.265s)
2023-01-11T21:35:33.0783847Z   test_comprehensive_nansum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.253s)
2023-01-11T21:35:33.0783988Z   test_comprehensive_nansum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0784125Z   test_comprehensive_nansum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0784262Z   test_comprehensive_nansum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0784400Z   test_comprehensive_nansum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0784534Z   test_comprehensive_nansum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0784672Z   test_comprehensive_narrow_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0784816Z   test_comprehensive_narrow_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0784970Z   test_comprehensive_narrow_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0785121Z   test_comprehensive_narrow_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0785269Z   test_comprehensive_narrow_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0785416Z   test_comprehensive_narrow_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0785558Z   test_comprehensive_narrow_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0785704Z   test_comprehensive_narrow_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0785837Z   test_comprehensive_narrow_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0786014Z   test_comprehensive_narrow_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0786154Z   test_comprehensive_narrow_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0786326Z   test_comprehensive_narrow_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0786471Z   test_comprehensive_narrow_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0786609Z   test_comprehensive_narrow_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0786746Z   test_comprehensive_narrow_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0786888Z   test_comprehensive_narrow_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.185s)
2023-01-11T21:35:33.0787018Z   test_comprehensive_narrow_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.0787157Z   test_comprehensive_narrow_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.188s)
2023-01-11T21:35:33.0787302Z   test_comprehensive_narrow_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0787443Z   test_comprehensive_narrow_cpu_float32 (__main__.TestDecompCPU) ... ok (0.109s)
2023-01-11T21:35:33.0787585Z   test_comprehensive_narrow_cpu_float64 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.0787724Z   test_comprehensive_narrow_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0787861Z   test_comprehensive_narrow_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0788000Z   test_comprehensive_narrow_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0788127Z   test_comprehensive_narrow_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0788264Z   test_comprehensive_narrow_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0788477Z   test_comprehensive_native_batch_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: native_batch_norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0788694Z   test_comprehensive_native_batch_norm_cpu_float32 (__main__.TestDecompCPU) ... skip: native_batch_norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0788903Z   test_comprehensive_native_batch_norm_cpu_float64 (__main__.TestDecompCPU) ... skip: native_batch_norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0789072Z   test_comprehensive_native_dropout_backward_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0789232Z   test_comprehensive_native_dropout_backward_cpu_bool (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.0789396Z   test_comprehensive_native_dropout_backward_cpu_float16 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0789557Z   test_comprehensive_native_dropout_backward_cpu_float32 (__main__.TestDecompCPU) ... ok (0.539s)
2023-01-11T21:35:33.0789703Z   test_comprehensive_native_dropout_backward_cpu_float64 (__main__.TestDecompCPU) ... ok (0.527s)
2023-01-11T21:35:33.0789865Z   test_comprehensive_native_dropout_backward_cpu_int16 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.0790025Z   test_comprehensive_native_dropout_backward_cpu_int32 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.0790186Z   test_comprehensive_native_dropout_backward_cpu_int64 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.0790342Z   test_comprehensive_native_dropout_backward_cpu_int8 (__main__.TestDecompCPU) ... ok (0.163s)
2023-01-11T21:35:33.0790496Z   test_comprehensive_native_dropout_backward_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.162s)
2023-01-11T21:35:33.0790648Z   test_comprehensive_native_layer_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0790800Z   test_comprehensive_native_layer_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.410s)
2023-01-11T21:35:33.0790951Z   test_comprehensive_native_layer_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.380s)
2023-01-11T21:35:33.0791075Z   test_comprehensive_ne_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0791243Z   test_comprehensive_ne_cpu_bool (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0791383Z   test_comprehensive_ne_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.0791553Z   test_comprehensive_ne_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.144s)
2023-01-11T21:35:33.0791692Z   test_comprehensive_ne_cpu_float16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0791826Z   test_comprehensive_ne_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.0791960Z   test_comprehensive_ne_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.0792093Z   test_comprehensive_ne_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0792214Z   test_comprehensive_ne_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0792345Z   test_comprehensive_ne_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0792476Z   test_comprehensive_ne_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0792610Z   test_comprehensive_ne_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0792749Z   test_comprehensive_neg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0792889Z   test_comprehensive_neg_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0793028Z   test_comprehensive_neg_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0793168Z   test_comprehensive_neg_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.084s)
2023-01-11T21:35:33.0793294Z   test_comprehensive_neg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0793431Z   test_comprehensive_neg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0793563Z   test_comprehensive_neg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0793780Z   test_comprehensive_neg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0793917Z   test_comprehensive_neg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0794048Z   test_comprehensive_neg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0794184Z   test_comprehensive_neg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0794315Z   test_comprehensive_neg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0794503Z   test_comprehensive_new_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: new_empty in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0794696Z   test_comprehensive_new_empty_cpu_bool (__main__.TestDecompCPU) ... skip: new_empty in torch.bool not supported (0.001s)
2023-01-11T21:35:33.0794900Z   test_comprehensive_new_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0795099Z   test_comprehensive_new_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex32 not supported (0.001s)
2023-01-11T21:35:33.0795295Z   test_comprehensive_new_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0795490Z   test_comprehensive_new_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: new_empty in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0795681Z   test_comprehensive_new_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: new_empty in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0795872Z   test_comprehensive_new_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: new_empty in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0796058Z   test_comprehensive_new_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: new_empty in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0796243Z   test_comprehensive_new_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: new_empty in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0796415Z   test_comprehensive_new_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: new_empty in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0796637Z   test_comprehensive_new_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: new_empty in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0796852Z   test_comprehensive_new_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: new_empty in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0797062Z   test_comprehensive_new_empty_strided_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0797271Z   test_comprehensive_new_empty_strided_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0797481Z   test_comprehensive_new_empty_strided_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0797692Z   test_comprehensive_new_empty_strided_cpu_complex32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0797902Z   test_comprehensive_new_empty_strided_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0798109Z   test_comprehensive_new_empty_strided_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0798315Z   test_comprehensive_new_empty_strided_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0798515Z   test_comprehensive_new_empty_strided_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0798704Z   test_comprehensive_new_empty_strided_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0798906Z   test_comprehensive_new_empty_strided_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0799103Z   test_comprehensive_new_empty_strided_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0799309Z   test_comprehensive_new_empty_strided_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0799510Z   test_comprehensive_new_empty_strided_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0799658Z   test_comprehensive_new_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0799799Z   test_comprehensive_new_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0799946Z   test_comprehensive_new_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0800095Z   test_comprehensive_new_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0800231Z   test_comprehensive_new_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0800373Z   test_comprehensive_new_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0800514Z   test_comprehensive_new_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0800650Z   test_comprehensive_new_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0800790Z   test_comprehensive_new_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0800929Z   test_comprehensive_new_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0801070Z   test_comprehensive_new_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0801211Z   test_comprehensive_new_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0801338Z   test_comprehensive_new_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0801519Z   test_comprehensive_new_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0801657Z   test_comprehensive_new_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0801832Z   test_comprehensive_new_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0801980Z   test_comprehensive_new_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0802122Z   test_comprehensive_new_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0802264Z   test_comprehensive_new_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0802402Z   test_comprehensive_new_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0802537Z   test_comprehensive_new_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0802664Z   test_comprehensive_new_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0802800Z   test_comprehensive_new_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0802940Z   test_comprehensive_new_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0803082Z   test_comprehensive_new_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0803222Z   test_comprehensive_new_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0803487Z   test_comprehensive_new_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0803637Z   test_comprehensive_new_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0803785Z   test_comprehensive_new_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0803920Z   test_comprehensive_new_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0804062Z   test_comprehensive_new_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0804249Z   test_comprehensive_new_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0804425Z   test_comprehensive_new_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0804732Z   test_comprehensive_new_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0804948Z   test_comprehensive_new_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0805120Z   test_comprehensive_new_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0805289Z   test_comprehensive_new_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0805417Z   test_comprehensive_new_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0805586Z   test_comprehensive_new_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0805772Z   test_comprehensive_nextafter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0805949Z   test_comprehensive_nextafter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.0806120Z   test_comprehensive_nextafter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.080s)
2023-01-11T21:35:33.0806376Z   test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Skipped (0.001s)
2023-01-11T21:35:33.0806606Z   test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipped (0.000s)
2023-01-11T21:35:33.0806831Z   test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipped (0.000s)
2023-01-11T21:35:33.0806998Z   test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0807204Z   test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.190s)
2023-01-11T21:35:33.0807413Z   test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.186s)
2023-01-11T21:35:33.0807676Z   test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0807910Z   test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.176s)
2023-01-11T21:35:33.0808116Z   test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.171s)
2023-01-11T21:35:33.0808373Z   test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0808572Z   test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.155s)
2023-01-11T21:35:33.0808779Z   test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.0808984Z   test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0809144Z   test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.100s)
2023-01-11T21:35:33.0809342Z   test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.097s)
2023-01-11T21:35:33.0809542Z   test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0809738Z   test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0809936Z   test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0810154Z   test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0810359Z   test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0810558Z   test_comprehensive_nn_functional_alpha_dropout_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0810756Z   test_comprehensive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0810910Z   test_comprehensive_nn_functional_alpha_dropout_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0811104Z   test_comprehensive_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0811295Z   test_comprehensive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.0811481Z   test_comprehensive_nn_functional_avg_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0811706Z   test_comprehensive_nn_functional_avg_pool1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0811924Z   test_comprehensive_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0812118Z   test_comprehensive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0812305Z   test_comprehensive_nn_functional_avg_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0812456Z   test_comprehensive_nn_functional_avg_pool2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0812650Z   test_comprehensive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0812835Z   test_comprehensive_nn_functional_avg_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0813021Z   test_comprehensive_nn_functional_avg_pool3d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0813210Z   test_comprehensive_nn_functional_batch_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0813405Z   test_comprehensive_nn_functional_batch_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.446s)
2023-01-11T21:35:33.0813608Z   test_comprehensive_nn_functional_batch_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.424s)
2023-01-11T21:35:33.0813834Z   test_comprehensive_nn_functional_bilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.0814049Z   test_comprehensive_nn_functional_bilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.327s)
2023-01-11T21:35:33.0814199Z   test_comprehensive_nn_functional_bilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.322s)
2023-01-11T21:35:33.0814386Z   test_comprehensive_nn_functional_bilinear_cpu_int16 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.0814569Z   test_comprehensive_nn_functional_bilinear_cpu_int32 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.0814761Z   test_comprehensive_nn_functional_bilinear_cpu_int64 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0814976Z   test_comprehensive_nn_functional_bilinear_cpu_int8 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.0815162Z   test_comprehensive_nn_functional_bilinear_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.0815386Z   test_comprehensive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.345s)
2023-01-11T21:35:33.0815586Z   test_comprehensive_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.344s)
2023-01-11T21:35:33.0815806Z   test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.193s)
2023-01-11T21:35:33.0815979Z   test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestDecompCPU) ... ok (1.139s)
2023-01-11T21:35:33.0816194Z   test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestDecompCPU) ... ok (1.039s)
2023-01-11T21:35:33.0816386Z   test_comprehensive_nn_functional_celu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0816570Z   test_comprehensive_nn_functional_celu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0816752Z   test_comprehensive_nn_functional_celu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0829788Z   test_comprehensive_nn_functional_conv1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0830063Z   test_comprehensive_nn_functional_conv1d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.974s)
2023-01-11T21:35:33.0830238Z   test_comprehensive_nn_functional_conv1d_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.132s)
2023-01-11T21:35:33.0830399Z   test_comprehensive_nn_functional_conv1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0830556Z   test_comprehensive_nn_functional_conv1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0830710Z   test_comprehensive_nn_functional_conv1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.0830870Z   test_comprehensive_nn_functional_conv2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0831031Z   test_comprehensive_nn_functional_conv2d_cpu_complex128 (__main__.TestDecompCPU) ... ok (7.664s)
2023-01-11T21:35:33.0831197Z   test_comprehensive_nn_functional_conv2d_cpu_complex64 (__main__.TestDecompCPU) ... ok (7.802s)
2023-01-11T21:35:33.0831354Z   test_comprehensive_nn_functional_conv2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.374s)
2023-01-11T21:35:33.0831497Z   test_comprehensive_nn_functional_conv2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.384s)
2023-01-11T21:35:33.0831649Z   test_comprehensive_nn_functional_conv2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0831824Z   test_comprehensive_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.343s)
2023-01-11T21:35:33.0831998Z   test_comprehensive_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.369s)
2023-01-11T21:35:33.0832169Z   test_comprehensive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.0832335Z   test_comprehensive_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.0832619Z   test_comprehensive_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0832831Z   test_comprehensive_nn_functional_conv_transpose2d_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.681s)
2023-01-11T21:35:33.0833008Z   test_comprehensive_nn_functional_conv_transpose2d_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.736s)
2023-01-11T21:35:33.0833166Z   test_comprehensive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.163s)
2023-01-11T21:35:33.0833329Z   test_comprehensive_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.160s)
2023-01-11T21:35:33.0833498Z   test_comprehensive_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0833768Z   test_comprehensive_nn_functional_conv_transpose3d_cpu_complex128 (__main__.TestDecompCPU) ... ok (14.774s)
2023-01-11T21:35:33.0833944Z   test_comprehensive_nn_functional_conv_transpose3d_cpu_complex64 (__main__.TestDecompCPU) ... ok (14.980s)
2023-01-11T21:35:33.0834110Z   test_comprehensive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.598s)
2023-01-11T21:35:33.0834275Z   test_comprehensive_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.606s)
2023-01-11T21:35:33.0834439Z   test_comprehensive_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.266s)
2023-01-11T21:35:33.0834614Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.192s)
2023-01-11T21:35:33.0834775Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestDecompCPU) ... ok (0.197s)
2023-01-11T21:35:33.0834952Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.816s)
2023-01-11T21:35:33.0835123Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.763s)
2023-01-11T21:35:33.0835294Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.200s)
2023-01-11T21:35:33.0835467Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.198s)
2023-01-11T21:35:33.0835632Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.196s)
2023-01-11T21:35:33.0835801Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.200s)
2023-01-11T21:35:33.0835974Z   test_comprehensive_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.0836145Z   test_comprehensive_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.274s)
2023-01-11T21:35:33.0836303Z   test_comprehensive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestDecompCPU) ... ok (1.600s)
2023-01-11T21:35:33.0836474Z   test_comprehensive_nn_functional_cosine_similarity_cpu_float64 (__main__.TestDecompCPU) ... ok (1.538s)
2023-01-11T21:35:33.0836639Z   test_comprehensive_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.0836806Z   test_comprehensive_nn_functional_cross_entropy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.435s)
2023-01-11T21:35:33.0836966Z   test_comprehensive_nn_functional_cross_entropy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.424s)
2023-01-11T21:35:33.0837126Z   test_comprehensive_nn_functional_ctc_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0837283Z   test_comprehensive_nn_functional_ctc_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0837447Z   test_comprehensive_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0837609Z   test_comprehensive_nn_functional_dropout2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.277s)
2023-01-11T21:35:33.0837799Z   test_comprehensive_nn_functional_dropout2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.397s)
2023-01-11T21:35:33.0837963Z   test_comprehensive_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0838154Z   test_comprehensive_nn_functional_dropout3d_cpu_float32 (__main__.TestDecompCPU) ... ok (2.127s)
2023-01-11T21:35:33.0838316Z   test_comprehensive_nn_functional_dropout3d_cpu_float64 (__main__.TestDecompCPU) ... ok (2.007s)
2023-01-11T21:35:33.0838476Z   test_comprehensive_nn_functional_dropout_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0838633Z   test_comprehensive_nn_functional_dropout_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0838792Z   test_comprehensive_nn_functional_dropout_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.0838946Z   test_comprehensive_nn_functional_elu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0839098Z   test_comprehensive_nn_functional_elu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0839240Z   test_comprehensive_nn_functional_elu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0839409Z   test_comprehensive_nn_functional_embedding_bag_cpu_float16 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.0839570Z   test_comprehensive_nn_functional_embedding_bag_cpu_float32 (__main__.TestDecompCPU) ... ok (0.126s)
2023-01-11T21:35:33.0839727Z   test_comprehensive_nn_functional_embedding_bag_cpu_float64 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.0839888Z   test_comprehensive_nn_functional_embedding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0840047Z   test_comprehensive_nn_functional_embedding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0840207Z   test_comprehensive_nn_functional_embedding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0840366Z   test_comprehensive_nn_functional_embedding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0840545Z   test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0840735Z   test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestDecompCPU) ... ok (1.165s)
2023-01-11T21:35:33.0840916Z   test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestDecompCPU) ... ok (1.166s)
2023-01-11T21:35:33.0841109Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0841296Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0841489Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0841683Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0841873Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0842061Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0842244Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0842417Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0842601Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0842785Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0843002Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0843214Z   test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0843531Z   test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0843714Z   test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0843884Z   test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0844058Z   test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0844228Z   test_comprehensive_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (6.175s)
2023-01-11T21:35:33.0844389Z   test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (41.737s)
2023-01-11T21:35:33.0844553Z   test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (40.060s)
2023-01-11T21:35:33.0844711Z   test_comprehensive_nn_functional_gelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0844865Z   test_comprehensive_nn_functional_gelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.0845018Z   test_comprehensive_nn_functional_gelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.146s)
2023-01-11T21:35:33.0845169Z   test_comprehensive_nn_functional_glu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.080s)
2023-01-11T21:35:33.0845322Z   test_comprehensive_nn_functional_glu_cpu_float32 (__main__.TestDecompCPU) ... ok (2.194s)
2023-01-11T21:35:33.0845473Z   test_comprehensive_nn_functional_glu_cpu_float64 (__main__.TestDecompCPU) ... ok (2.166s)
2023-01-11T21:35:33.0845626Z   test_comprehensive_nn_functional_grid_sample_cpu_float32 (__main__.TestDecompCPU) ... ok (0.392s)
2023-01-11T21:35:33.0845786Z   test_comprehensive_nn_functional_grid_sample_cpu_float64 (__main__.TestDecompCPU) ... ok (0.376s)
2023-01-11T21:35:33.0845943Z   test_comprehensive_nn_functional_group_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0846105Z   test_comprehensive_nn_functional_group_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.500s)
2023-01-11T21:35:33.0846262Z   test_comprehensive_nn_functional_group_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.481s)
2023-01-11T21:35:33.0846427Z   test_comprehensive_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0846585Z   test_comprehensive_nn_functional_hardshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0846741Z   test_comprehensive_nn_functional_hardshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0846909Z   test_comprehensive_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0847060Z   test_comprehensive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0847226Z   test_comprehensive_nn_functional_hardsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0847387Z   test_comprehensive_nn_functional_hardswish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0847547Z   test_comprehensive_nn_functional_hardswish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.0847707Z   test_comprehensive_nn_functional_hardswish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0847869Z   test_comprehensive_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0848028Z   test_comprehensive_nn_functional_hardtanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0848188Z   test_comprehensive_nn_functional_hardtanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0848411Z   test_comprehensive_nn_functional_hardtanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0848607Z   test_comprehensive_nn_functional_hardtanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0848767Z   test_comprehensive_nn_functional_hardtanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0848922Z   test_comprehensive_nn_functional_hardtanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0849098Z   test_comprehensive_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.162s)
2023-01-11T21:35:33.0849274Z   test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.827s)
2023-01-11T21:35:33.0849446Z   test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.805s)
2023-01-11T21:35:33.0849610Z   test_comprehensive_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0849769Z   test_comprehensive_nn_functional_huber_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0849929Z   test_comprehensive_nn_functional_huber_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.243s)
2023-01-11T21:35:33.0850069Z   test_comprehensive_nn_functional_huber_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.234s)
2023-01-11T21:35:33.0850237Z   test_comprehensive_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.0850400Z   test_comprehensive_nn_functional_instance_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.684s)
2023-01-11T21:35:33.0850564Z   test_comprehensive_nn_functional_instance_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.662s)
2023-01-11T21:35:33.0850732Z   test_comprehensive_nn_functional_interpolate_area_cpu_float32 (__main__.TestDecompCPU) ... ok (0.138s)
2023-01-11T21:35:33.0850903Z   test_comprehensive_nn_functional_interpolate_area_cpu_float64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0851080Z   test_comprehensive_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.097s)
2023-01-11T21:35:33.0851254Z   test_comprehensive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestDecompCPU) ... ok (0.203s)
2023-01-11T21:35:33.0851428Z   test_comprehensive_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestDecompCPU) ... ok (0.208s)
2023-01-11T21:35:33.0851592Z   test_comprehensive_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.589s)
2023-01-11T21:35:33.0851764Z   test_comprehensive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (5.660s)
2023-01-11T21:35:33.0851935Z   test_comprehensive_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (5.523s)
2023-01-11T21:35:33.0852109Z   test_comprehensive_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0852282Z   test_comprehensive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0852455Z   test_comprehensive_nn_functional_interpolate_linear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0852628Z   test_comprehensive_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.171s)
2023-01-11T21:35:33.0852798Z   test_comprehensive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestDecompCPU) ... ok (1.108s)
2023-01-11T21:35:33.0852971Z   test_comprehensive_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestDecompCPU) ... ok (1.096s)
2023-01-11T21:35:33.0853131Z   test_comprehensive_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.431s)
2023-01-11T21:35:33.0853307Z   test_comprehensive_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0853536Z   test_comprehensive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0853741Z   test_comprehensive_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0853902Z   test_comprehensive_nn_functional_kl_div_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.0854058Z   test_comprehensive_nn_functional_kl_div_cpu_float32 (__main__.TestDecompCPU) ... ok (0.507s)
2023-01-11T21:35:33.0854214Z   test_comprehensive_nn_functional_kl_div_cpu_float64 (__main__.TestDecompCPU) ... ok (0.478s)
2023-01-11T21:35:33.0854372Z   test_comprehensive_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0854536Z   test_comprehensive_nn_functional_l1_loss_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.255s)
2023-01-11T21:35:33.0854683Z   test_comprehensive_nn_functional_l1_loss_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.267s)
2023-01-11T21:35:33.0854844Z   test_comprehensive_nn_functional_l1_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0854998Z   test_comprehensive_nn_functional_l1_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.157s)
2023-01-11T21:35:33.0855155Z   test_comprehensive_nn_functional_l1_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.0855319Z   test_comprehensive_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0855481Z   test_comprehensive_nn_functional_layer_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.148s)
2023-01-11T21:35:33.0855637Z   test_comprehensive_nn_functional_layer_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.0855798Z   test_comprehensive_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0855952Z   test_comprehensive_nn_functional_leaky_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.163s)
2023-01-11T21:35:33.0856096Z   test_comprehensive_nn_functional_leaky_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.161s)
2023-01-11T21:35:33.0856251Z   test_comprehensive_nn_functional_linear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0856413Z   test_comprehensive_nn_functional_linear_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.640s)
2023-01-11T21:35:33.0856574Z   test_comprehensive_nn_functional_linear_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.660s)
2023-01-11T21:35:33.0856730Z   test_comprehensive_nn_functional_linear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.386s)
2023-01-11T21:35:33.0856887Z   test_comprehensive_nn_functional_linear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.365s)
2023-01-11T21:35:33.0857039Z   test_comprehensive_nn_functional_linear_cpu_int16 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0857193Z   test_comprehensive_nn_functional_linear_cpu_int32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0857330Z   test_comprehensive_nn_functional_linear_cpu_int64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0857485Z   test_comprehensive_nn_functional_linear_cpu_int8 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0857634Z   test_comprehensive_nn_functional_linear_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0857806Z   test_comprehensive_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.0857979Z   test_comprehensive_nn_functional_local_response_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.809s)
2023-01-11T21:35:33.0858150Z   test_comprehensive_nn_functional_local_response_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.790s)
2023-01-11T21:35:33.0858317Z   test_comprehensive_nn_functional_local_response_norm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.168s)
2023-01-11T21:35:33.0858482Z   test_comprehensive_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0858678Z   test_comprehensive_nn_functional_logsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0858823Z   test_comprehensive_nn_functional_logsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0859023Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.180s)
2023-01-11T21:35:33.0859195Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (1.049s)
2023-01-11T21:35:33.0859366Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (1.009s)
2023-01-11T21:35:33.0859534Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.399s)
2023-01-11T21:35:33.0859702Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.400s)
2023-01-11T21:35:33.0859869Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.395s)
2023-01-11T21:35:33.0860041Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.397s)
2023-01-11T21:35:33.0860210Z   test_comprehensive_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.446s)
2023-01-11T21:35:33.0860362Z   test_comprehensive_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (2.195s)
2023-01-11T21:35:33.0860522Z   test_comprehensive_nn_functional_max_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (7.966s)
2023-01-11T21:35:33.0860679Z   test_comprehensive_nn_functional_max_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (7.566s)
2023-01-11T21:35:33.0860838Z   test_comprehensive_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.756s)
2023-01-11T21:35:33.0860997Z   test_comprehensive_nn_functional_max_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.639s)
2023-01-11T21:35:33.0861152Z   test_comprehensive_nn_functional_max_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.637s)
2023-01-11T21:35:33.0861308Z   test_comprehensive_nn_functional_max_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.305s)
2023-01-11T21:35:33.0861462Z   test_comprehensive_nn_functional_max_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.316s)
2023-01-11T21:35:33.0861626Z   test_comprehensive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (2.342s)
2023-01-11T21:35:33.0861779Z   test_comprehensive_nn_functional_max_unpool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (2.215s)
2023-01-11T21:35:33.0861947Z   test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.239s)
2023-01-11T21:35:33.0862114Z   test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.278s)
2023-01-11T21:35:33.0862279Z   test_comprehensive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (3.213s)
2023-01-11T21:35:33.0862441Z   test_comprehensive_nn_functional_max_unpool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (3.172s)
2023-01-11T21:35:33.0862606Z   test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.192s)
2023-01-11T21:35:33.0862775Z   test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.173s)
2023-01-11T21:35:33.0862938Z   test_comprehensive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (3.044s)
2023-01-11T21:35:33.0863100Z   test_comprehensive_nn_functional_max_unpool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (3.095s)
2023-01-11T21:35:33.0863255Z   test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.324s)
2023-01-11T21:35:33.0863417Z   test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.244s)
2023-01-11T21:35:33.0863573Z   test_comprehensive_nn_functional_mish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0863795Z   test_comprehensive_nn_functional_mish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0863949Z   test_comprehensive_nn_functional_mish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0864135Z   test_comprehensive_nn_functional_mse_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0864295Z   test_comprehensive_nn_functional_mse_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0864452Z   test_comprehensive_nn_functional_mse_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.107s)
2023-01-11T21:35:33.0864621Z   test_comprehensive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0864773Z   test_comprehensive_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0864949Z   test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0865127Z   test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0865311Z   test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.0865490Z   test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.292s)
2023-01-11T21:35:33.0865664Z   test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.277s)
2023-01-11T21:35:33.0865825Z   test_comprehensive_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.0865983Z   test_comprehensive_nn_functional_nll_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.497s)
2023-01-11T21:35:33.0866141Z   test_comprehensive_nn_functional_nll_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.464s)
2023-01-11T21:35:33.0866291Z   test_comprehensive_nn_functional_normalize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.107s)
2023-01-11T21:35:33.0866458Z   test_comprehensive_nn_functional_normalize_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.318s)
2023-01-11T21:35:33.0866624Z   test_comprehensive_nn_functional_normalize_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.399s)
2023-01-11T21:35:33.0866783Z   test_comprehensive_nn_functional_normalize_cpu_float32 (__main__.TestDecompCPU) ... ok (0.902s)
2023-01-11T21:35:33.0866944Z   test_comprehensive_nn_functional_normalize_cpu_float64 (__main__.TestDecompCPU) ... ok (0.852s)
2023-01-11T21:35:33.0867097Z   test_comprehensive_nn_functional_one_hot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.0867317Z   test_comprehensive_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0867531Z   test_comprehensive_nn_functional_pad_circular_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0867751Z   test_comprehensive_nn_functional_pad_circular_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0867962Z   test_comprehensive_nn_functional_pad_circular_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0868178Z   test_comprehensive_nn_functional_pad_circular_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0868386Z   test_comprehensive_nn_functional_pad_circular_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0868588Z   test_comprehensive_nn_functional_pad_circular_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0868798Z   test_comprehensive_nn_functional_pad_circular_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0869039Z   test_comprehensive_nn_functional_pad_circular_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0869273Z   test_comprehensive_nn_functional_pad_circular_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0869483Z   test_comprehensive_nn_functional_pad_circular_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0869688Z   test_comprehensive_nn_functional_pad_circular_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.0869857Z   test_comprehensive_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0870020Z   test_comprehensive_nn_functional_pad_constant_cpu_bool (__main__.TestDecompCPU) ... ok (0.176s)
2023-01-11T21:35:33.0870179Z   test_comprehensive_nn_functional_pad_constant_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.965s)
2023-01-11T21:35:33.0870350Z   test_comprehensive_nn_functional_pad_constant_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.018s)
2023-01-11T21:35:33.0870515Z   test_comprehensive_nn_functional_pad_constant_cpu_float16 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0870678Z   test_comprehensive_nn_functional_pad_constant_cpu_float32 (__main__.TestDecompCPU) ... ok (0.556s)
2023-01-11T21:35:33.0870838Z   test_comprehensive_nn_functional_pad_constant_cpu_float64 (__main__.TestDecompCPU) ... ok (0.584s)
2023-01-11T21:35:33.0871001Z   test_comprehensive_nn_functional_pad_constant_cpu_int16 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0871155Z   test_comprehensive_nn_functional_pad_constant_cpu_int32 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0871308Z   test_comprehensive_nn_functional_pad_constant_cpu_int64 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0871470Z   test_comprehensive_nn_functional_pad_constant_cpu_int8 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.0871621Z   test_comprehensive_nn_functional_pad_constant_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.0871788Z   test_comprehensive_nn_functional_pad_reflect_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0871953Z   test_comprehensive_nn_functional_pad_reflect_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0872114Z   test_comprehensive_nn_functional_pad_reflect_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0872276Z   test_comprehensive_nn_functional_pad_reflect_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0872447Z   test_comprehensive_nn_functional_pad_replicate_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0872615Z   test_comprehensive_nn_functional_pad_replicate_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0872785Z   test_comprehensive_nn_functional_pad_replicate_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0872950Z   test_comprehensive_nn_functional_pad_replicate_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0873111Z   test_comprehensive_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0873284Z   test_comprehensive_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.182s)
2023-01-11T21:35:33.0873459Z   test_comprehensive_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.189s)
2023-01-11T21:35:33.0873732Z   test_comprehensive_nn_functional_pairwise_distance_cpu_float16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0873909Z   test_comprehensive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestDecompCPU) ... ok (0.154s)
2023-01-11T21:35:33.0874074Z   test_comprehensive_nn_functional_pairwise_distance_cpu_float64 (__main__.TestDecompCPU) ... ok (0.126s)
2023-01-11T21:35:33.0874281Z   test_comprehensive_nn_functional_pairwise_distance_cpu_int16 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0874481Z   test_comprehensive_nn_functional_pairwise_distance_cpu_int32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0874650Z   test_comprehensive_nn_functional_pairwise_distance_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0874805Z   test_comprehensive_nn_functional_pairwise_distance_cpu_int8 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0874973Z   test_comprehensive_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0875131Z   test_comprehensive_nn_functional_pdist_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0875285Z   test_comprehensive_nn_functional_pdist_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0875452Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0875614Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0875785Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0875952Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0876117Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0876266Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0876422Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0876583Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0876742Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0876897Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0877061Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0877218Z   test_comprehensive_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0877386Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0877551Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0877710Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0877880Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0878049Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0878213Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0878379Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0878542Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0878701Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0878858Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0879020Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0879171Z   test_comprehensive_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0879374Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.044s)
2023-01-11T21:35:33.0879572Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (9.371s)
2023-01-11T21:35:33.0879740Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (9.080s)
2023-01-11T21:35:33.0879902Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (3.110s)
2023-01-11T21:35:33.0880067Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (3.115s)
2023-01-11T21:35:33.0880228Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (3.045s)
2023-01-11T21:35:33.0880388Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (3.088s)
2023-01-11T21:35:33.0880551Z   test_comprehensive_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (3.090s)
2023-01-11T21:35:33.0880697Z   test_comprehensive_nn_functional_prelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.0880853Z   test_comprehensive_nn_functional_prelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.725s)
2023-01-11T21:35:33.0881008Z   test_comprehensive_nn_functional_prelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.664s)
2023-01-11T21:35:33.0881228Z   test_comprehensive_nn_functional_relu6_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0881445Z   test_comprehensive_nn_functional_relu6_cpu_float32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0881654Z   test_comprehensive_nn_functional_relu6_cpu_float64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0881866Z   test_comprehensive_nn_functional_relu6_cpu_int16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.0882078Z   test_comprehensive_nn_functional_relu6_cpu_int32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.0882284Z   test_comprehensive_nn_functional_relu6_cpu_int64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.0882490Z   test_comprehensive_nn_functional_relu6_cpu_int8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.0882690Z   test_comprehensive_nn_functional_relu6_cpu_uint8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.0882845Z   test_comprehensive_nn_functional_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0882999Z   test_comprehensive_nn_functional_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0883153Z   test_comprehensive_nn_functional_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0883307Z   test_comprehensive_nn_functional_relu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0883642Z   test_comprehensive_nn_functional_relu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0883792Z   test_comprehensive_nn_functional_relu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0883942Z   test_comprehensive_nn_functional_relu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0884079Z   test_comprehensive_nn_functional_relu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0884238Z   test_comprehensive_nn_functional_rrelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0884392Z   test_comprehensive_nn_functional_rrelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0884605Z   test_comprehensive_nn_functional_rrelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0884760Z   test_comprehensive_nn_functional_selu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0884954Z   test_comprehensive_nn_functional_selu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0885110Z   test_comprehensive_nn_functional_selu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0885279Z   test_comprehensive_nn_functional_silu_complex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0885446Z   test_comprehensive_nn_functional_silu_complex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0885587Z   test_comprehensive_nn_functional_silu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0885740Z   test_comprehensive_nn_functional_silu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0885893Z   test_comprehensive_nn_functional_silu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0886059Z   test_comprehensive_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0886226Z   test_comprehensive_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0886386Z   test_comprehensive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0886548Z   test_comprehensive_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0886717Z   test_comprehensive_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0886884Z   test_comprehensive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.0887039Z   test_comprehensive_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0887198Z   test_comprehensive_nn_functional_softmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0887356Z   test_comprehensive_nn_functional_softmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.124s)
2023-01-11T21:35:33.0887516Z   test_comprehensive_nn_functional_softmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.0887687Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0887862Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.210s)
2023-01-11T21:35:33.0888037Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.215s)
2023-01-11T21:35:33.0888207Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0888376Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestDecompCPU) ... ok (0.172s)
2023-01-11T21:35:33.0888532Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestDecompCPU) ... ok (0.122s)
2023-01-11T21:35:33.0888701Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0888866Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0889030Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0889197Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0889360Z   test_comprehensive_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0889521Z   test_comprehensive_nn_functional_softplus_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0889681Z   test_comprehensive_nn_functional_softplus_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0889890Z   test_comprehensive_nn_functional_softplus_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0890071Z   test_comprehensive_nn_functional_softshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0890233Z   test_comprehensive_nn_functional_softshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0890394Z   test_comprehensive_nn_functional_softshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.0890553Z   test_comprehensive_nn_functional_softsign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0890716Z   test_comprehensive_nn_functional_softsign_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.0890879Z   test_comprehensive_nn_functional_softsign_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.109s)
2023-01-11T21:35:33.0891037Z   test_comprehensive_nn_functional_softsign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0891198Z   test_comprehensive_nn_functional_softsign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.0891359Z   test_comprehensive_nn_functional_softsign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.0891503Z   test_comprehensive_nn_functional_softsign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0891658Z   test_comprehensive_nn_functional_softsign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0891811Z   test_comprehensive_nn_functional_softsign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0891964Z   test_comprehensive_nn_functional_softsign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0892115Z   test_comprehensive_nn_functional_softsign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0892279Z   test_comprehensive_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0892446Z   test_comprehensive_nn_functional_tanhshrink_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.0892612Z   test_comprehensive_nn_functional_tanhshrink_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0892761Z   test_comprehensive_nn_functional_tanhshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0892919Z   test_comprehensive_nn_functional_tanhshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0893076Z   test_comprehensive_nn_functional_tanhshrink_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0893233Z   test_comprehensive_nn_functional_tanhshrink_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0893391Z   test_comprehensive_nn_functional_tanhshrink_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0893549Z   test_comprehensive_nn_functional_tanhshrink_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0893708Z   test_comprehensive_nn_functional_tanhshrink_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0893870Z   test_comprehensive_nn_functional_threshold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0894023Z   test_comprehensive_nn_functional_threshold_cpu_float32 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0894171Z   test_comprehensive_nn_functional_threshold_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0894322Z   test_comprehensive_nn_functional_threshold_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0894473Z   test_comprehensive_nn_functional_threshold_cpu_int32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0894627Z   test_comprehensive_nn_functional_threshold_cpu_int64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0894778Z   test_comprehensive_nn_functional_threshold_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0894961Z   test_comprehensive_nn_functional_threshold_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0895161Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.138s)
2023-01-11T21:35:33.0895336Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.973s)
2023-01-11T21:35:33.0895512Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.017s)
2023-01-11T21:35:33.0895672Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.659s)
2023-01-11T21:35:33.0895843Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.634s)
2023-01-11T21:35:33.0896010Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.0896178Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.0896348Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.0896519Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.218s)
2023-01-11T21:35:33.0896685Z   test_comprehensive_nn_functional_triplet_margin_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.219s)
2023-01-11T21:35:33.0896873Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.146s)
2023-01-11T21:35:33.0897064Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.007s)
2023-01-11T21:35:33.0897240Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.029s)
2023-01-11T21:35:33.0897424Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.664s)
2023-01-11T21:35:33.0897604Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.658s)
2023-01-11T21:35:33.0897789Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.233s)
2023-01-11T21:35:33.0897972Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.0898154Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.224s)
2023-01-11T21:35:33.0898338Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.204s)
2023-01-11T21:35:33.0898519Z   test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.0898677Z   test_comprehensive_nn_functional_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.983s)
2023-01-11T21:35:33.0898841Z   test_comprehensive_nn_functional_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (10.076s)
2023-01-11T21:35:33.0898991Z   test_comprehensive_nn_functional_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (10.213s)
2023-01-11T21:35:33.0899150Z   test_comprehensive_nn_functional_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (1.125s)
2023-01-11T21:35:33.0899306Z   test_comprehensive_nn_functional_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (5.813s)
2023-01-11T21:35:33.0899461Z   test_comprehensive_nn_functional_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (5.777s)
2023-01-11T21:35:33.0899634Z   test_comprehensive_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.125s)
2023-01-11T21:35:33.0899806Z   test_comprehensive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (1.168s)
2023-01-11T21:35:33.0899975Z   test_comprehensive_nn_functional_upsample_bilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (1.143s)
2023-01-11T21:35:33.0900177Z   test_comprehensive_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.114s)
2023-01-11T21:35:33.0900376Z   test_comprehensive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestDecompCPU) ... ok (0.721s)
2023-01-11T21:35:33.0900536Z   test_comprehensive_nn_functional_upsample_nearest_cpu_float64 (__main__.TestDecompCPU) ... ok (0.706s)
2023-01-11T21:35:33.0900705Z   test_comprehensive_nn_functional_upsample_nearest_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.280s)
2023-01-11T21:35:33.0900848Z   test_comprehensive_nonzero_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0900989Z   test_comprehensive_nonzero_cpu_bool (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0901135Z   test_comprehensive_nonzero_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0901281Z   test_comprehensive_nonzero_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0901425Z   test_comprehensive_nonzero_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0901571Z   test_comprehensive_nonzero_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0901700Z   test_comprehensive_nonzero_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0901841Z   test_comprehensive_nonzero_cpu_float64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0901980Z   test_comprehensive_nonzero_cpu_int16 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0902119Z   test_comprehensive_nonzero_cpu_int32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0902258Z   test_comprehensive_nonzero_cpu_int64 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0902397Z   test_comprehensive_nonzero_cpu_int8 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0902535Z   test_comprehensive_nonzero_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.0902726Z   test_comprehensive_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0902909Z   test_comprehensive_norm_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0903101Z   test_comprehensive_norm_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0903284Z   test_comprehensive_norm_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0903460Z   test_comprehensive_norm_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0903634Z   test_comprehensive_norm_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0903820Z   test_comprehensive_norm_fro_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0904018Z   test_comprehensive_norm_fro_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0904212Z   test_comprehensive_norm_fro_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0904396Z   test_comprehensive_norm_fro_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0904580Z   test_comprehensive_norm_fro_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0904746Z   test_comprehensive_norm_fro_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0904930Z   test_comprehensive_norm_inf_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.0905126Z   test_comprehensive_norm_inf_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0905347Z   test_comprehensive_norm_inf_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0905560Z   test_comprehensive_norm_inf_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.0905740Z   test_comprehensive_norm_inf_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0905914Z   test_comprehensive_norm_inf_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0906107Z   test_comprehensive_norm_nuc_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.0906296Z   test_comprehensive_norm_nuc_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.0906481Z   test_comprehensive_norm_nuc_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.0906654Z   test_comprehensive_norm_nuc_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.0906799Z   test_comprehensive_normal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0906942Z   test_comprehensive_normal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0907083Z   test_comprehensive_normal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0907223Z   test_comprehensive_normal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0907380Z   test_comprehensive_normal_number_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0907532Z   test_comprehensive_normal_number_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0907683Z   test_comprehensive_normal_number_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0907825Z   test_comprehensive_normal_number_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0907967Z   test_comprehensive_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0908100Z   test_comprehensive_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0908242Z   test_comprehensive_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0908382Z   test_comprehensive_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0908523Z   test_comprehensive_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0908661Z   test_comprehensive_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0908799Z   test_comprehensive_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0908935Z   test_comprehensive_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0909060Z   test_comprehensive_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0909194Z   test_comprehensive_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0909329Z   test_comprehensive_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0909463Z   test_comprehensive_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0909598Z   test_comprehensive_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0909743Z   test_comprehensive_ones_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0909883Z   test_comprehensive_ones_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910031Z   test_comprehensive_ones_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910165Z   test_comprehensive_ones_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910343Z   test_comprehensive_ones_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910487Z   test_comprehensive_ones_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910657Z   test_comprehensive_ones_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910796Z   test_comprehensive_ones_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0910937Z   test_comprehensive_ones_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0911076Z   test_comprehensive_ones_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0911217Z   test_comprehensive_ones_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0911344Z   test_comprehensive_ones_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0911482Z   test_comprehensive_ones_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0911628Z   test_comprehensive_ormqr_cpu_complex128 (__main__.TestDecompCPU) ... ok (27.739s)
2023-01-11T21:35:33.0911772Z   test_comprehensive_ormqr_cpu_complex64 (__main__.TestDecompCPU) ... ok (29.213s)
2023-01-11T21:35:33.0911915Z   test_comprehensive_ormqr_cpu_float32 (__main__.TestDecompCPU) ... ok (16.897s)
2023-01-11T21:35:33.0912052Z   test_comprehensive_ormqr_cpu_float64 (__main__.TestDecompCPU) ... ok (16.294s)
2023-01-11T21:35:33.0912193Z   test_comprehensive_outer_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0912331Z   test_comprehensive_outer_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0912464Z   test_comprehensive_outer_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0912606Z   test_comprehensive_outer_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0912745Z   test_comprehensive_outer_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0912884Z   test_comprehensive_outer_cpu_float32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0913024Z   test_comprehensive_outer_cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0913163Z   test_comprehensive_outer_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0913300Z   test_comprehensive_outer_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0913435Z   test_comprehensive_outer_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0913558Z   test_comprehensive_outer_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0913770Z   test_comprehensive_outer_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0913940Z   test_comprehensive_pca_lowrank_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.854s)
2023-01-11T21:35:33.0914103Z   test_comprehensive_pca_lowrank_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.849s)
2023-01-11T21:35:33.0914249Z   test_comprehensive_permute_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0914393Z   test_comprehensive_permute_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0914542Z   test_comprehensive_permute_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0914689Z   test_comprehensive_permute_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.0914818Z   test_comprehensive_permute_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0914961Z   test_comprehensive_permute_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0915102Z   test_comprehensive_permute_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0915244Z   test_comprehensive_permute_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0915382Z   test_comprehensive_permute_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0915521Z   test_comprehensive_permute_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0915698Z   test_comprehensive_permute_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0915839Z   test_comprehensive_permute_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0916008Z   test_comprehensive_permute_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0916147Z   test_comprehensive_pinverse_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.874s)
2023-01-11T21:35:33.0916295Z   test_comprehensive_pinverse_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.854s)
2023-01-11T21:35:33.0916439Z   test_comprehensive_pinverse_cpu_float32 (__main__.TestDecompCPU) ... ok (0.510s)
2023-01-11T21:35:33.0916580Z   test_comprehensive_pinverse_cpu_float64 (__main__.TestDecompCPU) ... ok (0.535s)
2023-01-11T21:35:33.0916721Z   test_comprehensive_polar_cpu_float32 (__main__.TestDecompCPU) ... ok (1.502s)
2023-01-11T21:35:33.0916862Z   test_comprehensive_polar_cpu_float64 (__main__.TestDecompCPU) ... ok (1.445s)
2023-01-11T21:35:33.0917031Z   test_comprehensive_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0917192Z   test_comprehensive_polygamma_polygamma_n_0_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0917344Z   test_comprehensive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0917507Z   test_comprehensive_polygamma_polygamma_n_0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0917667Z   test_comprehensive_polygamma_polygamma_n_0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0917824Z   test_comprehensive_polygamma_polygamma_n_0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0917982Z   test_comprehensive_polygamma_polygamma_n_0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0918141Z   test_comprehensive_polygamma_polygamma_n_0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0918302Z   test_comprehensive_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0918464Z   test_comprehensive_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0918625Z   test_comprehensive_polygamma_polygamma_n_1_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0918773Z   test_comprehensive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0918935Z   test_comprehensive_polygamma_polygamma_n_1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0919090Z   test_comprehensive_polygamma_polygamma_n_1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0919246Z   test_comprehensive_polygamma_polygamma_n_1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0919401Z   test_comprehensive_polygamma_polygamma_n_1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0919556Z   test_comprehensive_polygamma_polygamma_n_1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0919712Z   test_comprehensive_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0919877Z   test_comprehensive_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0920020Z   test_comprehensive_polygamma_polygamma_n_2_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0920182Z   test_comprehensive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0920341Z   test_comprehensive_polygamma_polygamma_n_2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0920498Z   test_comprehensive_polygamma_polygamma_n_2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0920655Z   test_comprehensive_polygamma_polygamma_n_2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0920809Z   test_comprehensive_polygamma_polygamma_n_2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0920996Z   test_comprehensive_polygamma_polygamma_n_2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0921184Z   test_comprehensive_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0921347Z   test_comprehensive_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0921491Z   test_comprehensive_polygamma_polygamma_n_3_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0921650Z   test_comprehensive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0921808Z   test_comprehensive_polygamma_polygamma_n_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0921963Z   test_comprehensive_polygamma_polygamma_n_3_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0922118Z   test_comprehensive_polygamma_polygamma_n_3_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0922276Z   test_comprehensive_polygamma_polygamma_n_3_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0922435Z   test_comprehensive_polygamma_polygamma_n_3_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0922588Z   test_comprehensive_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0922748Z   test_comprehensive_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0922892Z   test_comprehensive_polygamma_polygamma_n_4_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0923051Z   test_comprehensive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0923209Z   test_comprehensive_polygamma_polygamma_n_4_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.0923529Z   test_comprehensive_polygamma_polygamma_n_4_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0923687Z   test_comprehensive_polygamma_polygamma_n_4_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0923845Z   test_comprehensive_polygamma_polygamma_n_4_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0924004Z   test_comprehensive_polygamma_polygamma_n_4_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0924157Z   test_comprehensive_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0924290Z   test_comprehensive_positive_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0924438Z   test_comprehensive_positive_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0924584Z   test_comprehensive_positive_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0924729Z   test_comprehensive_positive_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0924873Z   test_comprehensive_positive_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925018Z   test_comprehensive_positive_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925166Z   test_comprehensive_positive_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925309Z   test_comprehensive_positive_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925450Z   test_comprehensive_positive_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925578Z   test_comprehensive_positive_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925718Z   test_comprehensive_positive_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925857Z   test_comprehensive_positive_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0925996Z   test_comprehensive_pow_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.159s)
2023-01-11T21:35:33.0926137Z   test_comprehensive_pow_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.842s)
2023-01-11T21:35:33.0926347Z   test_comprehensive_pow_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.856s)
2023-01-11T21:35:33.0926485Z   test_comprehensive_pow_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0926663Z   test_comprehensive_pow_cpu_float32 (__main__.TestDecompCPU) ... ok (1.395s)
2023-01-11T21:35:33.0926789Z   test_comprehensive_pow_cpu_float64 (__main__.TestDecompCPU) ... ok (1.408s)
2023-01-11T21:35:33.0926924Z   test_comprehensive_pow_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0927061Z   test_comprehensive_pow_cpu_int32 (__main__.TestDecompCPU) ... ok (0.087s)
2023-01-11T21:35:33.0927193Z   test_comprehensive_pow_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0927329Z   test_comprehensive_pow_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0927459Z   test_comprehensive_pow_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0927603Z   test_comprehensive_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.178s)
2023-01-11T21:35:33.0927734Z   test_comprehensive_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.0927869Z   test_comprehensive_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.313s)
2023-01-11T21:35:33.0928012Z   test_comprehensive_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.366s)
2023-01-11T21:35:33.0928152Z   test_comprehensive_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (1.815s)
2023-01-11T21:35:33.0928290Z   test_comprehensive_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (1.809s)
2023-01-11T21:35:33.0928428Z   test_comprehensive_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.0928563Z   test_comprehensive_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.122s)
2023-01-11T21:35:33.0928698Z   test_comprehensive_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.117s)
2023-01-11T21:35:33.0928833Z   test_comprehensive_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.0928955Z   test_comprehensive_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.0929093Z   test_comprehensive_put_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0929229Z   test_comprehensive_put_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0929374Z   test_comprehensive_put_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.0929514Z   test_comprehensive_put_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.0929651Z   test_comprehensive_put_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0929786Z   test_comprehensive_put_cpu_float32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0929918Z   test_comprehensive_put_cpu_float64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0930039Z   test_comprehensive_put_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0930173Z   test_comprehensive_put_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0930306Z   test_comprehensive_put_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0930441Z   test_comprehensive_put_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0930572Z   test_comprehensive_put_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0930713Z   test_comprehensive_qr_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.507s)
2023-01-11T21:35:33.0930851Z   test_comprehensive_qr_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.580s)
2023-01-11T21:35:33.0930986Z   test_comprehensive_qr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.999s)
2023-01-11T21:35:33.0931108Z   test_comprehensive_qr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.953s)
2023-01-11T21:35:33.0931252Z   test_comprehensive_quantile_cpu_float32 (__main__.TestDecompCPU) ... ok (3.287s)
2023-01-11T21:35:33.0931392Z   test_comprehensive_quantile_cpu_float64 (__main__.TestDecompCPU) ... ok (3.120s)
2023-01-11T21:35:33.0931570Z   test_comprehensive_rad2deg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0931711Z   test_comprehensive_rad2deg_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0931885Z   test_comprehensive_rad2deg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0932032Z   test_comprehensive_rad2deg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0932175Z   test_comprehensive_rad2deg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0932301Z   test_comprehensive_rad2deg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0932440Z   test_comprehensive_rad2deg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0932578Z   test_comprehensive_rad2deg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0932716Z   test_comprehensive_rad2deg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0932856Z   test_comprehensive_rad2deg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0933002Z   test_comprehensive_rand_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0933152Z   test_comprehensive_rand_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0933301Z   test_comprehensive_rand_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0933434Z   test_comprehensive_rand_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0933579Z   test_comprehensive_rand_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0933720Z   test_comprehensive_rand_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0933858Z   test_comprehensive_rand_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0934000Z   test_comprehensive_randint_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0934144Z   test_comprehensive_randint_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0934285Z   test_comprehensive_randint_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0934429Z   test_comprehensive_randint_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0934569Z   test_comprehensive_randint_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0934695Z   test_comprehensive_randint_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0934836Z   test_comprehensive_randint_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0934974Z   test_comprehensive_randint_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0935110Z   test_comprehensive_randint_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0935259Z   test_comprehensive_randint_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0935406Z   test_comprehensive_randint_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0935556Z   test_comprehensive_randint_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0935703Z   test_comprehensive_randint_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0935835Z   test_comprehensive_randint_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0935975Z   test_comprehensive_randint_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0936113Z   test_comprehensive_randint_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0936257Z   test_comprehensive_randint_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0936395Z   test_comprehensive_randint_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0936554Z   test_comprehensive_randn_cpu_bfloat16 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0936718Z   test_comprehensive_randn_cpu_complex128 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0936913Z   test_comprehensive_randn_cpu_complex32 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0937089Z   test_comprehensive_randn_cpu_complex64 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0937249Z   test_comprehensive_randn_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0937405Z   test_comprehensive_randn_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0937564Z   test_comprehensive_randn_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.0937711Z   test_comprehensive_randn_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0937858Z   test_comprehensive_randn_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0938007Z   test_comprehensive_randn_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0938156Z   test_comprehensive_randn_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0938300Z   test_comprehensive_randn_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0938431Z   test_comprehensive_randn_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0938569Z   test_comprehensive_randn_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0938710Z   test_comprehensive_ravel_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0938846Z   test_comprehensive_ravel_cpu_bool (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0938991Z   test_comprehensive_ravel_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0939133Z   test_comprehensive_ravel_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0939277Z   test_comprehensive_ravel_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.112s)
2023-01-11T21:35:33.0939418Z   test_comprehensive_ravel_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0939545Z   test_comprehensive_ravel_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0939683Z   test_comprehensive_ravel_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.0939820Z   test_comprehensive_ravel_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0939955Z   test_comprehensive_ravel_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0940091Z   test_comprehensive_ravel_cpu_int64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0940225Z   test_comprehensive_ravel_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0940360Z   test_comprehensive_ravel_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0940497Z   test_comprehensive_real_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0940621Z   test_comprehensive_real_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0940765Z   test_comprehensive_real_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0940909Z   test_comprehensive_real_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0941051Z   test_comprehensive_real_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0941188Z   test_comprehensive_real_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0941324Z   test_comprehensive_real_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0941462Z   test_comprehensive_real_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0941597Z   test_comprehensive_real_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0941718Z   test_comprehensive_real_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0941850Z   test_comprehensive_real_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0942018Z   test_comprehensive_real_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0942151Z   test_comprehensive_real_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0942365Z   test_comprehensive_reciprocal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0942512Z   test_comprehensive_reciprocal_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0942665Z   test_comprehensive_reciprocal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0942815Z   test_comprehensive_reciprocal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.0942948Z   test_comprehensive_reciprocal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0943091Z   test_comprehensive_reciprocal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0943237Z   test_comprehensive_reciprocal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0943384Z   test_comprehensive_reciprocal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0943524Z   test_comprehensive_reciprocal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0943665Z   test_comprehensive_reciprocal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0943807Z   test_comprehensive_reciprocal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0943951Z   test_comprehensive_reciprocal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0944086Z   test_comprehensive_remainder_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.064s)
2023-01-11T21:35:33.0944231Z   test_comprehensive_remainder_cpu_float16 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0944372Z   test_comprehensive_remainder_cpu_float32 (__main__.TestDecompCPU) ... ok (0.598s)
2023-01-11T21:35:33.0944510Z   test_comprehensive_remainder_cpu_float64 (__main__.TestDecompCPU) ... ok (0.634s)
2023-01-11T21:35:33.0944656Z   test_comprehensive_remainder_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0944797Z   test_comprehensive_remainder_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0944941Z   test_comprehensive_remainder_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0945082Z   test_comprehensive_remainder_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0945224Z   test_comprehensive_remainder_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0945351Z   test_comprehensive_renorm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.0945494Z   test_comprehensive_renorm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.765s)
2023-01-11T21:35:33.0945636Z   test_comprehensive_renorm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.790s)
2023-01-11T21:35:33.0945809Z   test_comprehensive_renorm_cpu_float16 (__main__.TestDecompCPU) ... skip: Inconsistent accuracy (0.000s)
2023-01-11T21:35:33.0945953Z   test_comprehensive_renorm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.487s)
2023-01-11T21:35:33.0946094Z   test_comprehensive_renorm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.454s)
2023-01-11T21:35:33.0946237Z   test_comprehensive_repeat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.0946376Z   test_comprehensive_repeat_cpu_bool (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0946508Z   test_comprehensive_repeat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.0946651Z   test_comprehensive_repeat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.157s)
2023-01-11T21:35:33.0946792Z   test_comprehensive_repeat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0946933Z   test_comprehensive_repeat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0947074Z   test_comprehensive_repeat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.0947214Z   test_comprehensive_repeat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0947384Z   test_comprehensive_repeat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0947568Z   test_comprehensive_repeat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0947696Z   test_comprehensive_repeat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0947833Z   test_comprehensive_repeat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0947989Z   test_comprehensive_repeat_interleave_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0948141Z   test_comprehensive_repeat_interleave_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0948302Z   test_comprehensive_repeat_interleave_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0948461Z   test_comprehensive_repeat_interleave_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.0948617Z   test_comprehensive_repeat_interleave_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.0948774Z   test_comprehensive_repeat_interleave_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0948917Z   test_comprehensive_repeat_interleave_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.0949071Z   test_comprehensive_repeat_interleave_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.0949221Z   test_comprehensive_repeat_interleave_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0949371Z   test_comprehensive_repeat_interleave_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0949520Z   test_comprehensive_repeat_interleave_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0949671Z   test_comprehensive_repeat_interleave_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0949819Z   test_comprehensive_repeat_interleave_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0949968Z   test_comprehensive_reshape_as_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0950111Z   test_comprehensive_reshape_as_cpu_bool (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0950250Z   test_comprehensive_reshape_as_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.0950399Z   test_comprehensive_reshape_as_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.0950545Z   test_comprehensive_reshape_as_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.0950693Z   test_comprehensive_reshape_as_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0950836Z   test_comprehensive_reshape_as_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0950974Z   test_comprehensive_reshape_as_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0951119Z   test_comprehensive_reshape_as_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0951260Z   test_comprehensive_reshape_as_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0951384Z   test_comprehensive_reshape_as_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0951528Z   test_comprehensive_reshape_as_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0951672Z   test_comprehensive_reshape_as_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0951813Z   test_comprehensive_reshape_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0951954Z   test_comprehensive_reshape_cpu_bool (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0952099Z   test_comprehensive_reshape_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.0952246Z   test_comprehensive_reshape_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0952388Z   test_comprehensive_reshape_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.194s)
2023-01-11T21:35:33.0952563Z   test_comprehensive_reshape_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.0952704Z   test_comprehensive_reshape_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.0952874Z   test_comprehensive_reshape_cpu_float64 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.0953016Z   test_comprehensive_reshape_cpu_int16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0953156Z   test_comprehensive_reshape_cpu_int32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0953294Z   test_comprehensive_reshape_cpu_int64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.0953434Z   test_comprehensive_reshape_cpu_int8 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0953573Z   test_comprehensive_reshape_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.0953798Z   test_comprehensive_resize__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0953926Z   test_comprehensive_resize__cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0954073Z   test_comprehensive_resize__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0954219Z   test_comprehensive_resize__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0954361Z   test_comprehensive_resize__cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0954500Z   test_comprehensive_resize__cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0954641Z   test_comprehensive_resize__cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0954779Z   test_comprehensive_resize__cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0954916Z   test_comprehensive_resize__cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0955040Z   test_comprehensive_resize__cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0955176Z   test_comprehensive_resize__cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0955314Z   test_comprehensive_resize__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0955460Z   test_comprehensive_resize_as__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0955602Z   test_comprehensive_resize_as__cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0955751Z   test_comprehensive_resize_as__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0955897Z   test_comprehensive_resize_as__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0956043Z   test_comprehensive_resize_as__cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0956171Z   test_comprehensive_resize_as__cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0956314Z   test_comprehensive_resize_as__cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0956454Z   test_comprehensive_resize_as__cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0956594Z   test_comprehensive_resize_as__cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0956731Z   test_comprehensive_resize_as__cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0956872Z   test_comprehensive_resize_as__cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0957013Z   test_comprehensive_resize_as__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0957162Z   test_comprehensive_resolve_conj_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0957294Z   test_comprehensive_resolve_conj_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0957445Z   test_comprehensive_resolve_conj_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0957595Z   test_comprehensive_resolve_conj_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0957742Z   test_comprehensive_resolve_conj_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0957926Z   test_comprehensive_resolve_conj_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958103Z   test_comprehensive_resolve_conj_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958249Z   test_comprehensive_resolve_conj_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958391Z   test_comprehensive_resolve_conj_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958531Z   test_comprehensive_resolve_conj_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958662Z   test_comprehensive_resolve_conj_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958805Z   test_comprehensive_resolve_conj_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0958950Z   test_comprehensive_resolve_neg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959099Z   test_comprehensive_resolve_neg_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959252Z   test_comprehensive_resolve_neg_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959404Z   test_comprehensive_resolve_neg_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959554Z   test_comprehensive_resolve_neg_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959701Z   test_comprehensive_resolve_neg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959830Z   test_comprehensive_resolve_neg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0959971Z   test_comprehensive_resolve_neg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0960117Z   test_comprehensive_resolve_neg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0960256Z   test_comprehensive_resolve_neg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0960395Z   test_comprehensive_resolve_neg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0960539Z   test_comprehensive_resolve_neg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0960681Z   test_comprehensive_resolve_neg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0960821Z   test_comprehensive_roll_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0960944Z   test_comprehensive_roll_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0961086Z   test_comprehensive_roll_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.235s)
2023-01-11T21:35:33.0961229Z   test_comprehensive_roll_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.0961371Z   test_comprehensive_roll_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.238s)
2023-01-11T21:35:33.0961509Z   test_comprehensive_roll_cpu_float16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0961647Z   test_comprehensive_roll_cpu_float32 (__main__.TestDecompCPU) ... ok (0.137s)
2023-01-11T21:35:33.0961788Z   test_comprehensive_roll_cpu_float64 (__main__.TestDecompCPU) ... ok (0.138s)
2023-01-11T21:35:33.0961925Z   test_comprehensive_roll_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0962051Z   test_comprehensive_roll_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0962184Z   test_comprehensive_roll_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0962318Z   test_comprehensive_roll_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0962451Z   test_comprehensive_roll_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0962591Z   test_comprehensive_rot90_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.0962726Z   test_comprehensive_rot90_cpu_bool (__main__.TestDecompCPU) ... ok (0.169s)
2023-01-11T21:35:33.0962868Z   test_comprehensive_rot90_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.985s)
2023-01-11T21:35:33.0963060Z   test_comprehensive_rot90_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.947s)
2023-01-11T21:35:33.0963187Z   test_comprehensive_rot90_cpu_float16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0963643Z   test_comprehensive_rot90_cpu_float32 (__main__.TestDecompCPU) ... ok (0.575s)
2023-01-11T21:35:33.0963791Z   test_comprehensive_rot90_cpu_float64 (__main__.TestDecompCPU) ... ok (0.521s)
2023-01-11T21:35:33.0963928Z   test_comprehensive_rot90_cpu_int16 (__main__.TestDecompCPU) ... ok (0.167s)
2023-01-11T21:35:33.0964063Z   test_comprehensive_rot90_cpu_int32 (__main__.TestDecompCPU) ... ok (0.167s)
2023-01-11T21:35:33.0964196Z   test_comprehensive_rot90_cpu_int64 (__main__.TestDecompCPU) ... ok (0.167s)
2023-01-11T21:35:33.0964330Z   test_comprehensive_rot90_cpu_int8 (__main__.TestDecompCPU) ... ok (0.180s)
2023-01-11T21:35:33.0964465Z   test_comprehensive_rot90_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.166s)
2023-01-11T21:35:33.0964593Z   test_comprehensive_round_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0964737Z   test_comprehensive_round_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0964877Z   test_comprehensive_round_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0965016Z   test_comprehensive_round_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0965150Z   test_comprehensive_round_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0965286Z   test_comprehensive_round_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0965422Z   test_comprehensive_round_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0965556Z   test_comprehensive_round_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0965696Z   test_comprehensive_round_decimals_0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0965849Z   test_comprehensive_round_decimals_0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0966001Z   test_comprehensive_round_decimals_0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0966154Z   test_comprehensive_round_decimals_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0966306Z   test_comprehensive_round_decimals_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0966457Z   test_comprehensive_round_decimals_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0966617Z   test_comprehensive_round_decimals_neg_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0966773Z   test_comprehensive_round_decimals_neg_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0966929Z   test_comprehensive_round_decimals_neg_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0967058Z   test_comprehensive_rsqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.0967199Z   test_comprehensive_rsqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0967345Z   test_comprehensive_rsqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.0967490Z   test_comprehensive_rsqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0967630Z   test_comprehensive_rsqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0967769Z   test_comprehensive_rsqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.0967906Z   test_comprehensive_rsqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0968040Z   test_comprehensive_rsqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0968160Z   test_comprehensive_rsqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0968297Z   test_comprehensive_rsqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0968432Z   test_comprehensive_rsqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0968631Z   test_comprehensive_rsub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0968771Z   test_comprehensive_rsub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.603s)
2023-01-11T21:35:33.0968949Z   test_comprehensive_rsub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.635s)
2023-01-11T21:35:33.0969089Z   test_comprehensive_rsub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.0969226Z   test_comprehensive_rsub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.329s)
2023-01-11T21:35:33.0969350Z   test_comprehensive_rsub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.323s)
2023-01-11T21:35:33.0969485Z   test_comprehensive_rsub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0969618Z   test_comprehensive_rsub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0969753Z   test_comprehensive_rsub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0969889Z   test_comprehensive_rsub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0970024Z   test_comprehensive_rsub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0970175Z   test_comprehensive_scalar_tensor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0970324Z   test_comprehensive_scalar_tensor_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0970464Z   test_comprehensive_scalar_tensor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0970615Z   test_comprehensive_scalar_tensor_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0970765Z   test_comprehensive_scalar_tensor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0970912Z   test_comprehensive_scalar_tensor_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971059Z   test_comprehensive_scalar_tensor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971206Z   test_comprehensive_scalar_tensor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971355Z   test_comprehensive_scalar_tensor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971497Z   test_comprehensive_scalar_tensor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971642Z   test_comprehensive_scalar_tensor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971774Z   test_comprehensive_scalar_tensor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0971916Z   test_comprehensive_scalar_tensor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0972063Z   test_comprehensive_scatter_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0972209Z   test_comprehensive_scatter_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0972359Z   test_comprehensive_scatter_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0972508Z   test_comprehensive_scatter_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0972656Z   test_comprehensive_scatter_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0972800Z   test_comprehensive_scatter_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0972927Z   test_comprehensive_scatter_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0973071Z   test_comprehensive_scatter_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0973211Z   test_comprehensive_scatter_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0973356Z   test_comprehensive_scatter_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0973500Z   test_comprehensive_scatter_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0973642Z   test_comprehensive_scatter_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0973820Z   test_comprehensive_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0973964Z   test_comprehensive_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0974126Z   test_comprehensive_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0974274Z   test_comprehensive_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0974415Z   test_comprehensive_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0974558Z   test_comprehensive_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0974695Z   test_comprehensive_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0974833Z   test_comprehensive_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0974972Z   test_comprehensive_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0975111Z   test_comprehensive_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0975241Z   test_comprehensive_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0975378Z   test_comprehensive_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0975538Z   test_comprehensive_scatter_reduce_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.326s)
2023-01-11T21:35:33.0975691Z   test_comprehensive_scatter_reduce_amax_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0975848Z   test_comprehensive_scatter_reduce_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.391s)
2023-01-11T21:35:33.0976007Z   test_comprehensive_scatter_reduce_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.880s)
2023-01-11T21:35:33.0976161Z   test_comprehensive_scatter_reduce_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.865s)
2023-01-11T21:35:33.0976314Z   test_comprehensive_scatter_reduce_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0976469Z   test_comprehensive_scatter_reduce_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0976608Z   test_comprehensive_scatter_reduce_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0976761Z   test_comprehensive_scatter_reduce_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0976909Z   test_comprehensive_scatter_reduce_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0977066Z   test_comprehensive_scatter_reduce_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.324s)
2023-01-11T21:35:33.0977218Z   test_comprehensive_scatter_reduce_amin_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0977373Z   test_comprehensive_scatter_reduce_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.349s)
2023-01-11T21:35:33.0977524Z   test_comprehensive_scatter_reduce_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.882s)
2023-01-11T21:35:33.0977674Z   test_comprehensive_scatter_reduce_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.890s)
2023-01-11T21:35:33.0977827Z   test_comprehensive_scatter_reduce_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0977968Z   test_comprehensive_scatter_reduce_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0978118Z   test_comprehensive_scatter_reduce_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0978266Z   test_comprehensive_scatter_reduce_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0978415Z   test_comprehensive_scatter_reduce_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0978573Z   test_comprehensive_scatter_reduce_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.0978725Z   test_comprehensive_scatter_reduce_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.0978880Z   test_comprehensive_scatter_reduce_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.418s)
2023-01-11T21:35:33.0979072Z   test_comprehensive_scatter_reduce_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.404s)
2023-01-11T21:35:33.0979211Z   test_comprehensive_scatter_reduce_mean_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0979390Z   test_comprehensive_scatter_reduce_mean_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0979538Z   test_comprehensive_scatter_reduce_mean_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0979689Z   test_comprehensive_scatter_reduce_mean_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0979838Z   test_comprehensive_scatter_reduce_mean_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0979996Z   test_comprehensive_scatter_reduce_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.313s)
2023-01-11T21:35:33.0980148Z   test_comprehensive_scatter_reduce_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0980302Z   test_comprehensive_scatter_reduce_prod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.334s)
2023-01-11T21:35:33.0980455Z   test_comprehensive_scatter_reduce_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (1.425s)
2023-01-11T21:35:33.0980598Z   test_comprehensive_scatter_reduce_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (1.415s)
2023-01-11T21:35:33.0980750Z   test_comprehensive_scatter_reduce_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0980900Z   test_comprehensive_scatter_reduce_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0981046Z   test_comprehensive_scatter_reduce_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0981199Z   test_comprehensive_scatter_reduce_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0981351Z   test_comprehensive_scatter_reduce_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0981506Z   test_comprehensive_scatter_reduce_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0981657Z   test_comprehensive_scatter_reduce_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0981799Z   test_comprehensive_scatter_reduce_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0981954Z   test_comprehensive_scatter_reduce_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.0982106Z   test_comprehensive_scatter_reduce_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0982255Z   test_comprehensive_scatter_reduce_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0982404Z   test_comprehensive_scatter_reduce_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0982550Z   test_comprehensive_scatter_reduce_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0982699Z   test_comprehensive_scatter_reduce_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0982846Z   test_comprehensive_scatter_reduce_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0982999Z   test_comprehensive_searchsorted_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0983140Z   test_comprehensive_searchsorted_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0983289Z   test_comprehensive_searchsorted_cpu_float32 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0983433Z   test_comprehensive_searchsorted_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0983581Z   test_comprehensive_searchsorted_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0983725Z   test_comprehensive_searchsorted_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0983865Z   test_comprehensive_searchsorted_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0984011Z   test_comprehensive_searchsorted_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0984187Z   test_comprehensive_searchsorted_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0984337Z   test_comprehensive_segment_reduce_lengths_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0984528Z   test_comprehensive_segment_reduce_lengths_cpu_float16 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0984689Z   test_comprehensive_segment_reduce_lengths_cpu_float32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.0984847Z   test_comprehensive_segment_reduce_lengths_cpu_float64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.0985009Z   test_comprehensive_segment_reduce_offsets_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0985164Z   test_comprehensive_segment_reduce_offsets_cpu_float16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0985319Z   test_comprehensive_segment_reduce_offsets_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.0985476Z   test_comprehensive_segment_reduce_offsets_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0985622Z   test_comprehensive_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0985750Z   test_comprehensive_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0985896Z   test_comprehensive_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0986041Z   test_comprehensive_select_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0986179Z   test_comprehensive_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0986324Z   test_comprehensive_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0986463Z   test_comprehensive_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0986603Z   test_comprehensive_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0986741Z   test_comprehensive_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0986869Z   test_comprehensive_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0987007Z   test_comprehensive_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0987146Z   test_comprehensive_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0987280Z   test_comprehensive_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0987433Z   test_comprehensive_select_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0987579Z   test_comprehensive_select_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0987728Z   test_comprehensive_select_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0987878Z   test_comprehensive_select_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0988014Z   test_comprehensive_select_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0988163Z   test_comprehensive_select_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0988306Z   test_comprehensive_select_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0988453Z   test_comprehensive_select_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0988599Z   test_comprehensive_select_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0988745Z   test_comprehensive_select_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.0988886Z   test_comprehensive_sgn_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0989019Z   test_comprehensive_sgn_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0989149Z   test_comprehensive_sgn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.423s)
2023-01-11T21:35:33.0989291Z   test_comprehensive_sgn_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0989465Z   test_comprehensive_sgn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.439s)
2023-01-11T21:35:33.0989603Z   test_comprehensive_sgn_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.0989769Z   test_comprehensive_sgn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.0989906Z   test_comprehensive_sgn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.0990041Z   test_comprehensive_sgn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0990176Z   test_comprehensive_sgn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0990294Z   test_comprehensive_sgn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0990428Z   test_comprehensive_sgn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0990558Z   test_comprehensive_sgn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0990699Z   test_comprehensive_short_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0990838Z   test_comprehensive_short_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0990983Z   test_comprehensive_short_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0991124Z   test_comprehensive_short_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.0991263Z   test_comprehensive_short_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.0991390Z   test_comprehensive_short_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0991528Z   test_comprehensive_short_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.0991663Z   test_comprehensive_short_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.0991798Z   test_comprehensive_short_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0991930Z   test_comprehensive_short_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0992068Z   test_comprehensive_short_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0992200Z   test_comprehensive_short_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0992347Z   test_comprehensive_sigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.0992485Z   test_comprehensive_sigmoid_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0992620Z   test_comprehensive_sigmoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0992771Z   test_comprehensive_sigmoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.0992913Z   test_comprehensive_sigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.0993055Z   test_comprehensive_sigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.0993192Z   test_comprehensive_sigmoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0993333Z   test_comprehensive_sigmoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0993459Z   test_comprehensive_sigmoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0993670Z   test_comprehensive_sigmoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0993812Z   test_comprehensive_sigmoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.0993949Z   test_comprehensive_sign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0994086Z   test_comprehensive_sign_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0994224Z   test_comprehensive_sign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.0994362Z   test_comprehensive_sign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.0994498Z   test_comprehensive_sign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.0994636Z   test_comprehensive_sign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0994798Z   test_comprehensive_sign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0994933Z   test_comprehensive_sign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0995099Z   test_comprehensive_sign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0995234Z   test_comprehensive_sign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0995396Z   test_comprehensive_signal_windows_bartlett_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.0995557Z   test_comprehensive_signal_windows_bartlett_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.0995716Z   test_comprehensive_signal_windows_blackman_cpu_float32 (__main__.TestDecompCPU) ... ok (0.126s)
2023-01-11T21:35:33.0995875Z   test_comprehensive_signal_windows_blackman_cpu_float64 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.0996022Z   test_comprehensive_signal_windows_cosine_cpu_float32 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.0996182Z   test_comprehensive_signal_windows_cosine_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.0996350Z   test_comprehensive_signal_windows_exponential_cpu_float32 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0996512Z   test_comprehensive_signal_windows_exponential_cpu_float64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.0996672Z   test_comprehensive_signal_windows_gaussian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.0996829Z   test_comprehensive_signal_windows_gaussian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.0996999Z   test_comprehensive_signal_windows_general_cosine_cpu_float32 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0997167Z   test_comprehensive_signal_windows_general_cosine_cpu_float64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.0997336Z   test_comprehensive_signal_windows_general_hamming_cpu_float32 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.0997489Z   test_comprehensive_signal_windows_general_hamming_cpu_float64 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.0997655Z   test_comprehensive_signal_windows_hamming_cpu_float32 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.0997812Z   test_comprehensive_signal_windows_hamming_cpu_float64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.0997966Z   test_comprehensive_signal_windows_hann_cpu_float32 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.0998118Z   test_comprehensive_signal_windows_hann_cpu_float64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.0998275Z   test_comprehensive_signal_windows_kaiser_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.0998430Z   test_comprehensive_signal_windows_kaiser_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.0998588Z   test_comprehensive_signal_windows_nuttall_cpu_float32 (__main__.TestDecompCPU) ... ok (0.133s)
2023-01-11T21:35:33.0998735Z   test_comprehensive_signal_windows_nuttall_cpu_float64 (__main__.TestDecompCPU) ... ok (0.126s)
2023-01-11T21:35:33.0998881Z   test_comprehensive_signbit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0999021Z   test_comprehensive_signbit_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0999164Z   test_comprehensive_signbit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.0999304Z   test_comprehensive_signbit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.0999445Z   test_comprehensive_signbit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.0999585Z   test_comprehensive_signbit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0999724Z   test_comprehensive_signbit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.0999863Z   test_comprehensive_signbit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1000036Z   test_comprehensive_signbit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1000170Z   test_comprehensive_signbit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1000338Z   test_comprehensive_sin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1000475Z   test_comprehensive_sin_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1000617Z   test_comprehensive_sin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.185s)
2023-01-11T21:35:33.1000755Z   test_comprehensive_sin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.188s)
2023-01-11T21:35:33.1000892Z   test_comprehensive_sin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.1001028Z   test_comprehensive_sin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.1001149Z   test_comprehensive_sin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1001283Z   test_comprehensive_sin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1001415Z   test_comprehensive_sin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1001548Z   test_comprehensive_sin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1001681Z   test_comprehensive_sin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1001817Z   test_comprehensive_sinc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1001948Z   test_comprehensive_sinc_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1002090Z   test_comprehensive_sinc_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.1002218Z   test_comprehensive_sinc_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.125s)
2023-01-11T21:35:33.1002354Z   test_comprehensive_sinc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1002492Z   test_comprehensive_sinc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.1002632Z   test_comprehensive_sinc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1002767Z   test_comprehensive_sinc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1002900Z   test_comprehensive_sinc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1003034Z   test_comprehensive_sinc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1003170Z   test_comprehensive_sinc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1003295Z   test_comprehensive_sinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1003548Z   test_comprehensive_sinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1003690Z   test_comprehensive_sinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.184s)
2023-01-11T21:35:33.1003832Z   test_comprehensive_sinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.188s)
2023-01-11T21:35:33.1003972Z   test_comprehensive_sinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.1004108Z   test_comprehensive_sinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.1004245Z   test_comprehensive_sinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1004379Z   test_comprehensive_sinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1004499Z   test_comprehensive_sinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1004632Z   test_comprehensive_sinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1004764Z   test_comprehensive_sinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1004905Z   test_comprehensive_slice_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1005036Z   test_comprehensive_slice_cpu_bool (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1005182Z   test_comprehensive_slice_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.186s)
2023-01-11T21:35:33.1005376Z   test_comprehensive_slice_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.1005516Z   test_comprehensive_slice_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.183s)
2023-01-11T21:35:33.1005680Z   test_comprehensive_slice_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1005822Z   test_comprehensive_slice_cpu_float32 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.1005958Z   test_comprehensive_slice_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.1006095Z   test_comprehensive_slice_cpu_int16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1006233Z   test_comprehensive_slice_cpu_int32 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1006366Z   test_comprehensive_slice_cpu_int64 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1006502Z   test_comprehensive_slice_cpu_int8 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1006641Z   test_comprehensive_slice_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1006779Z   test_comprehensive_slice_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1006928Z   test_comprehensive_slice_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1007078Z   test_comprehensive_slice_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1007226Z   test_comprehensive_slice_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.160s)
2023-01-11T21:35:33.1007373Z   test_comprehensive_slice_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.159s)
2023-01-11T21:35:33.1007516Z   test_comprehensive_slice_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1007658Z   test_comprehensive_slice_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1007796Z   test_comprehensive_slice_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1007929Z   test_comprehensive_slice_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1008068Z   test_comprehensive_slice_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1008214Z   test_comprehensive_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1008356Z   test_comprehensive_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.1008496Z   test_comprehensive_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.1008652Z   test_comprehensive_softmax_with_dtype_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1008804Z   test_comprehensive_softmax_with_dtype_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1008964Z   test_comprehensive_softmax_with_dtype_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.1009124Z   test_comprehensive_softmax_with_dtype_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.142s)
2023-01-11T21:35:33.1009268Z   test_comprehensive_softmax_with_dtype_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1009428Z   test_comprehensive_softmax_with_dtype_cpu_float32 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1009579Z   test_comprehensive_softmax_with_dtype_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1009730Z   test_comprehensive_softmax_with_dtype_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1009881Z   test_comprehensive_softmax_with_dtype_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1010030Z   test_comprehensive_softmax_with_dtype_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1010179Z   test_comprehensive_softmax_with_dtype_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1010328Z   test_comprehensive_softmax_with_dtype_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1010456Z   test_comprehensive_sort_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1010631Z   test_comprehensive_sort_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1010803Z   test_comprehensive_sort_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1010944Z   test_comprehensive_sort_cpu_float32 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.1011082Z   test_comprehensive_sort_cpu_float64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1011217Z   test_comprehensive_sort_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1011353Z   test_comprehensive_sort_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1011486Z   test_comprehensive_sort_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1011607Z   test_comprehensive_sort_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1011741Z   test_comprehensive_sort_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1011907Z   test_comprehensive_sparse_sampled_addmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.1012070Z   test_comprehensive_sparse_sampled_addmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.077s)
2023-01-11T21:35:33.1012231Z   test_comprehensive_sparse_sampled_addmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1012390Z   test_comprehensive_sparse_sampled_addmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1012542Z   test_comprehensive_special_airy_ai_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1012694Z   test_comprehensive_special_airy_ai_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1012843Z   test_comprehensive_special_airy_ai_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1012979Z   test_comprehensive_special_airy_ai_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1013127Z   test_comprehensive_special_airy_ai_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1013276Z   test_comprehensive_special_airy_ai_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1013425Z   test_comprehensive_special_airy_ai_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1013572Z   test_comprehensive_special_airy_ai_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1013722Z   test_comprehensive_special_bessel_j0_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1013875Z   test_comprehensive_special_bessel_j0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1014027Z   test_comprehensive_special_bessel_j0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1014163Z   test_comprehensive_special_bessel_j0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1014311Z   test_comprehensive_special_bessel_j0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1014457Z   test_comprehensive_special_bessel_j0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1014606Z   test_comprehensive_special_bessel_j0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1014755Z   test_comprehensive_special_bessel_j0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1014906Z   test_comprehensive_special_bessel_j1_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1015057Z   test_comprehensive_special_bessel_j1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1015208Z   test_comprehensive_special_bessel_j1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1015356Z   test_comprehensive_special_bessel_j1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1015488Z   test_comprehensive_special_bessel_j1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1015634Z   test_comprehensive_special_bessel_j1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1015818Z   test_comprehensive_special_bessel_j1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1015995Z   test_comprehensive_special_bessel_j1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1016144Z   test_comprehensive_special_bessel_y0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1016295Z   test_comprehensive_special_bessel_y0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1016446Z   test_comprehensive_special_bessel_y0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1016590Z   test_comprehensive_special_bessel_y0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1016720Z   test_comprehensive_special_bessel_y0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1016864Z   test_comprehensive_special_bessel_y0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017012Z   test_comprehensive_special_bessel_y0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017158Z   test_comprehensive_special_bessel_y0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017308Z   test_comprehensive_special_bessel_y1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017460Z   test_comprehensive_special_bessel_y1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017609Z   test_comprehensive_special_bessel_y1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017753Z   test_comprehensive_special_bessel_y1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1017896Z   test_comprehensive_special_bessel_y1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1018031Z   test_comprehensive_special_bessel_y1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1018176Z   test_comprehensive_special_bessel_y1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1018324Z   test_comprehensive_special_bessel_y1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1018494Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1018667Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1018841Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1019007Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1019175Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1019330Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1019496Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1019664Z   test_comprehensive_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1019834Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1020006Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1020174Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1020338Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1020498Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1020663Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1020814Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1021013Z   test_comprehensive_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1021522Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1021875Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1022221Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1022562Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1022905Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1023245Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1023583Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1023923Z   test_comprehensive_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1024257Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1024595Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1024921Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1025256Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1025589Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1025923Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1026254Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1026587Z   test_comprehensive_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1026742Z   test_comprehensive_special_entr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1026891Z   test_comprehensive_special_entr_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1027041Z   test_comprehensive_special_entr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1027192Z   test_comprehensive_special_entr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1027325Z   test_comprehensive_special_entr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1027470Z   test_comprehensive_special_entr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1027612Z   test_comprehensive_special_entr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1027828Z   test_comprehensive_special_entr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1027969Z   test_comprehensive_special_entr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1028139Z   test_comprehensive_special_erfcx_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1028292Z   test_comprehensive_special_erfcx_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1028437Z   test_comprehensive_special_erfcx_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1028573Z   test_comprehensive_special_erfcx_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1028714Z   test_comprehensive_special_erfcx_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1028853Z   test_comprehensive_special_erfcx_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1028996Z   test_comprehensive_special_erfcx_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1029137Z   test_comprehensive_special_erfcx_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1029305Z   test_comprehensive_special_hermite_polynomial_h_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1029473Z   test_comprehensive_special_hermite_polynomial_h_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1029640Z   test_comprehensive_special_hermite_polynomial_h_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1029806Z   test_comprehensive_special_hermite_polynomial_h_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1029955Z   test_comprehensive_special_hermite_polynomial_h_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1030121Z   test_comprehensive_special_hermite_polynomial_h_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1030282Z   test_comprehensive_special_hermite_polynomial_h_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1030447Z   test_comprehensive_special_hermite_polynomial_h_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1030607Z   test_comprehensive_special_hermite_polynomial_he_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1030777Z   test_comprehensive_special_hermite_polynomial_he_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1030941Z   test_comprehensive_special_hermite_polynomial_he_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1031106Z   test_comprehensive_special_hermite_polynomial_he_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1031266Z   test_comprehensive_special_hermite_polynomial_he_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1031412Z   test_comprehensive_special_hermite_polynomial_he_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1031576Z   test_comprehensive_special_hermite_polynomial_he_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1031742Z   test_comprehensive_special_hermite_polynomial_he_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1031893Z   test_comprehensive_special_i0e_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1032038Z   test_comprehensive_special_i0e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1032183Z   test_comprehensive_special_i0e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1032325Z   test_comprehensive_special_i0e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1032467Z   test_comprehensive_special_i0e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1032595Z   test_comprehensive_special_i0e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1032731Z   test_comprehensive_special_i0e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1032904Z   test_comprehensive_special_i0e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1033041Z   test_comprehensive_special_i0e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1033213Z   test_comprehensive_special_i1_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1033360Z   test_comprehensive_special_i1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1033502Z   test_comprehensive_special_i1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1033716Z   test_comprehensive_special_i1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1033859Z   test_comprehensive_special_i1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1033983Z   test_comprehensive_special_i1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1034124Z   test_comprehensive_special_i1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1034264Z   test_comprehensive_special_i1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1034405Z   test_comprehensive_special_i1e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1034554Z   test_comprehensive_special_i1e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.1034695Z   test_comprehensive_special_i1e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1034837Z   test_comprehensive_special_i1e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1034981Z   test_comprehensive_special_i1e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1035107Z   test_comprehensive_special_i1e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1035247Z   test_comprehensive_special_i1e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1035385Z   test_comprehensive_special_i1e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1035555Z   test_comprehensive_special_laguerre_polynomial_l_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1035728Z   test_comprehensive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1035900Z   test_comprehensive_special_laguerre_polynomial_l_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1036066Z   test_comprehensive_special_laguerre_polynomial_l_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1036227Z   test_comprehensive_special_laguerre_polynomial_l_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1036385Z   test_comprehensive_special_laguerre_polynomial_l_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1036539Z   test_comprehensive_special_laguerre_polynomial_l_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1036705Z   test_comprehensive_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1037063Z   test_comprehensive_special_legendre_polynomial_p_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1037410Z   test_comprehensive_special_legendre_polynomial_p_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1037756Z   test_comprehensive_special_legendre_polynomial_p_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1038094Z   test_comprehensive_special_legendre_polynomial_p_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1038426Z   test_comprehensive_special_legendre_polynomial_p_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1038766Z   test_comprehensive_special_legendre_polynomial_p_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1039190Z   test_comprehensive_special_legendre_polynomial_p_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1039531Z   test_comprehensive_special_legendre_polynomial_p_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1039682Z   test_comprehensive_special_log_ndtr_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1039825Z   test_comprehensive_special_log_ndtr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1039977Z   test_comprehensive_special_log_ndtr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1040126Z   test_comprehensive_special_log_ndtr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1040274Z   test_comprehensive_special_log_ndtr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1040422Z   test_comprehensive_special_log_ndtr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1040572Z   test_comprehensive_special_log_ndtr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1040720Z   test_comprehensive_special_log_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1040883Z   test_comprehensive_special_modified_bessel_i0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041035Z   test_comprehensive_special_modified_bessel_i0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041199Z   test_comprehensive_special_modified_bessel_i0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041359Z   test_comprehensive_special_modified_bessel_i0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041515Z   test_comprehensive_special_modified_bessel_i0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041669Z   test_comprehensive_special_modified_bessel_i0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041827Z   test_comprehensive_special_modified_bessel_i0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1041986Z   test_comprehensive_special_modified_bessel_i0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1042142Z   test_comprehensive_special_modified_bessel_i1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1042304Z   test_comprehensive_special_modified_bessel_i1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1042450Z   test_comprehensive_special_modified_bessel_i1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1042608Z   test_comprehensive_special_modified_bessel_i1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1042762Z   test_comprehensive_special_modified_bessel_i1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1042917Z   test_comprehensive_special_modified_bessel_i1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1043075Z   test_comprehensive_special_modified_bessel_i1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1043235Z   test_comprehensive_special_modified_bessel_i1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1043502Z   test_comprehensive_special_modified_bessel_k0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1043664Z   test_comprehensive_special_modified_bessel_k0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1043821Z   test_comprehensive_special_modified_bessel_k0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1043964Z   test_comprehensive_special_modified_bessel_k0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1044116Z   test_comprehensive_special_modified_bessel_k0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1044317Z   test_comprehensive_special_modified_bessel_k0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1044512Z   test_comprehensive_special_modified_bessel_k0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1044673Z   test_comprehensive_special_modified_bessel_k0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1044831Z   test_comprehensive_special_modified_bessel_k1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1044991Z   test_comprehensive_special_modified_bessel_k1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1045153Z   test_comprehensive_special_modified_bessel_k1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1045307Z   test_comprehensive_special_modified_bessel_k1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1045446Z   test_comprehensive_special_modified_bessel_k1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1045598Z   test_comprehensive_special_modified_bessel_k1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1045756Z   test_comprehensive_special_modified_bessel_k1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1045914Z   test_comprehensive_special_modified_bessel_k1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1046124Z   test_comprehensive_special_ndtr_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1046323Z   test_comprehensive_special_ndtr_cpu_bool (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1046525Z   test_comprehensive_special_ndtr_cpu_float32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1046722Z   test_comprehensive_special_ndtr_cpu_float64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1046921Z   test_comprehensive_special_ndtr_cpu_int16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1047106Z   test_comprehensive_special_ndtr_cpu_int32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1047302Z   test_comprehensive_special_ndtr_cpu_int64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1047496Z   test_comprehensive_special_ndtr_cpu_int8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1047690Z   test_comprehensive_special_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1047837Z   test_comprehensive_special_ndtri_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1047987Z   test_comprehensive_special_ndtri_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1048139Z   test_comprehensive_special_ndtri_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1048287Z   test_comprehensive_special_ndtri_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1048433Z   test_comprehensive_special_ndtri_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1048562Z   test_comprehensive_special_ndtri_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1048706Z   test_comprehensive_special_ndtri_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1048848Z   test_comprehensive_special_ndtri_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1049031Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1049210Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1049429Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.1049639Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1049818Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1049996Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1050160Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1050337Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1050514Z   test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1050685Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1050858Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1051032Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1051203Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1051372Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1051535Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1051692Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1051858Z   test_comprehensive_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1052029Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1052201Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1052369Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1052535Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1052697Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1052860Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1053026Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1053182Z   test_comprehensive_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1053557Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1053920Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1054277Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1054634Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1054989Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1055426Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1055778Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1056126Z   test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1056481Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1056837Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1057194Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1057541Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1057876Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1058223Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1058574Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1058927Z   test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1059272Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1059623Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1059980Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1060328Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1060681Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1061035Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1061382Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1061737Z   test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1062089Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1062468Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1062854Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1063207Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1063553Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1063900Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1064248Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1064594Z   test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2023-01-11T21:35:33.1064761Z   test_comprehensive_special_spherical_bessel_j0_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1064929Z   test_comprehensive_special_spherical_bessel_j0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1065089Z   test_comprehensive_special_spherical_bessel_j0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1065251Z   test_comprehensive_special_spherical_bessel_j0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1065397Z   test_comprehensive_special_spherical_bessel_j0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1065560Z   test_comprehensive_special_spherical_bessel_j0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1065722Z   test_comprehensive_special_spherical_bessel_j0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1065880Z   test_comprehensive_special_spherical_bessel_j0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1066035Z   test_comprehensive_special_xlog1py_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.115s)
2023-01-11T21:35:33.1066185Z   test_comprehensive_special_xlog1py_cpu_bool (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1066337Z   test_comprehensive_special_xlog1py_cpu_float16 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.1066492Z   test_comprehensive_special_xlog1py_cpu_float32 (__main__.TestDecompCPU) ... ok (0.883s)
2023-01-11T21:35:33.1066630Z   test_comprehensive_special_xlog1py_cpu_float64 (__main__.TestDecompCPU) ... ok (0.916s)
2023-01-11T21:35:33.1066781Z   test_comprehensive_special_xlog1py_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1066928Z   test_comprehensive_special_xlog1py_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1067072Z   test_comprehensive_special_xlog1py_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1067220Z   test_comprehensive_special_xlog1py_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1067366Z   test_comprehensive_special_xlog1py_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1067515Z   test_comprehensive_special_zeta_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1067661Z   test_comprehensive_special_zeta_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1067806Z   test_comprehensive_special_zeta_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1067944Z   test_comprehensive_special_zeta_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1068127Z   test_comprehensive_special_zeta_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1068266Z   test_comprehensive_special_zeta_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1068441Z   test_comprehensive_special_zeta_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1068583Z   test_comprehensive_special_zeta_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1068728Z   test_comprehensive_split_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1068868Z   test_comprehensive_split_cpu_bool (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1069015Z   test_comprehensive_split_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.1069146Z   test_comprehensive_split_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1069290Z   test_comprehensive_split_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.1069433Z   test_comprehensive_split_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1069573Z   test_comprehensive_split_cpu_float32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1069718Z   test_comprehensive_split_cpu_float64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1069857Z   test_comprehensive_split_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1069993Z   test_comprehensive_split_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1070127Z   test_comprehensive_split_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1070252Z   test_comprehensive_split_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1070389Z   test_comprehensive_split_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1070541Z   test_comprehensive_split_list_args_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1070688Z   test_comprehensive_split_list_args_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1070846Z   test_comprehensive_split_list_args_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.175s)
2023-01-11T21:35:33.1071004Z   test_comprehensive_split_list_args_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.178s)
2023-01-11T21:35:33.1071152Z   test_comprehensive_split_list_args_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1071300Z   test_comprehensive_split_list_args_cpu_float32 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.1071448Z   test_comprehensive_split_list_args_cpu_float64 (__main__.TestDecompCPU) ... ok (0.112s)
2023-01-11T21:35:33.1071584Z   test_comprehensive_split_list_args_cpu_int16 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1071729Z   test_comprehensive_split_list_args_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1071872Z   test_comprehensive_split_list_args_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1072022Z   test_comprehensive_split_list_args_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1072169Z   test_comprehensive_split_list_args_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1072324Z   test_comprehensive_split_with_sizes_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1072473Z   test_comprehensive_split_with_sizes_cpu_bool (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1072629Z   test_comprehensive_split_with_sizes_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.231s)
2023-01-11T21:35:33.1072771Z   test_comprehensive_split_with_sizes_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.165s)
2023-01-11T21:35:33.1072923Z   test_comprehensive_split_with_sizes_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.235s)
2023-01-11T21:35:33.1073073Z   test_comprehensive_split_with_sizes_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1073222Z   test_comprehensive_split_with_sizes_cpu_float32 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1073411Z   test_comprehensive_split_with_sizes_cpu_float64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.1073660Z   test_comprehensive_split_with_sizes_cpu_int16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1073815Z   test_comprehensive_split_with_sizes_cpu_int32 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1073963Z   test_comprehensive_split_with_sizes_cpu_int64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1074097Z   test_comprehensive_split_with_sizes_cpu_int8 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1074245Z   test_comprehensive_split_with_sizes_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.087s)
2023-01-11T21:35:33.1074385Z   test_comprehensive_sqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1074521Z   test_comprehensive_sqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1074664Z   test_comprehensive_sqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.181s)
2023-01-11T21:35:33.1074808Z   test_comprehensive_sqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.184s)
2023-01-11T21:35:33.1074948Z   test_comprehensive_sqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.1075086Z   test_comprehensive_sqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1075220Z   test_comprehensive_sqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1075343Z   test_comprehensive_sqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1075475Z   test_comprehensive_sqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1075610Z   test_comprehensive_sqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1075746Z   test_comprehensive_sqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1075889Z   test_comprehensive_square_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1076030Z   test_comprehensive_square_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1076174Z   test_comprehensive_square_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1076320Z   test_comprehensive_square_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1076448Z   test_comprehensive_square_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1076589Z   test_comprehensive_square_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1076728Z   test_comprehensive_square_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1076865Z   test_comprehensive_square_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1077001Z   test_comprehensive_square_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1077139Z   test_comprehensive_square_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1077275Z   test_comprehensive_square_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1077412Z   test_comprehensive_square_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1077547Z   test_comprehensive_squeeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1077684Z   test_comprehensive_squeeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1077830Z   test_comprehensive_squeeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.1077975Z   test_comprehensive_squeeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1078114Z   test_comprehensive_squeeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1078256Z   test_comprehensive_squeeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1078397Z   test_comprehensive_squeeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1078537Z   test_comprehensive_squeeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1078714Z   test_comprehensive_squeeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1078854Z   test_comprehensive_squeeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1079023Z   test_comprehensive_squeeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1079163Z   test_comprehensive_squeeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1079298Z   test_comprehensive_squeeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1079441Z   test_comprehensive_stack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1079578Z   test_comprehensive_stack_cpu_bool (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1079720Z   test_comprehensive_stack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1079851Z   test_comprehensive_stack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1079994Z   test_comprehensive_stack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1080132Z   test_comprehensive_stack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1080270Z   test_comprehensive_stack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1080408Z   test_comprehensive_stack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1080545Z   test_comprehensive_stack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1080680Z   test_comprehensive_stack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1080814Z   test_comprehensive_stack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1080939Z   test_comprehensive_stack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1081074Z   test_comprehensive_stack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1081211Z   test_comprehensive_std_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.1081353Z   test_comprehensive_std_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.531s)
2023-01-11T21:35:33.1081494Z   test_comprehensive_std_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.540s)
2023-01-11T21:35:33.1081629Z   test_comprehensive_std_cpu_float16 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.1081764Z   test_comprehensive_std_cpu_float32 (__main__.TestDecompCPU) ... ok (0.346s)
2023-01-11T21:35:33.1081899Z   test_comprehensive_std_cpu_float64 (__main__.TestDecompCPU) ... ok (0.338s)
2023-01-11T21:35:33.1082030Z   test_comprehensive_std_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1082178Z   test_comprehensive_std_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.012s)
2023-01-11T21:35:33.1082324Z   test_comprehensive_std_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.985s)
2023-01-11T21:35:33.1082467Z   test_comprehensive_std_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.1082607Z   test_comprehensive_std_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.599s)
2023-01-11T21:35:33.1082745Z   test_comprehensive_std_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.635s)
2023-01-11T21:35:33.1082903Z   test_comprehensive_std_mean_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1083063Z   test_comprehensive_std_mean_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.1083219Z   test_comprehensive_std_mean_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.1083488Z   test_comprehensive_std_mean_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1083642Z   test_comprehensive_std_mean_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1083789Z   test_comprehensive_std_mean_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1083939Z   test_comprehensive_std_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1084143Z   test_comprehensive_std_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1084334Z   test_comprehensive_std_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1084485Z   test_comprehensive_std_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1084634Z   test_comprehensive_std_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1084770Z   test_comprehensive_std_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.1084914Z   test_comprehensive_stft_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.766s)
2023-01-11T21:35:33.1085055Z   test_comprehensive_stft_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.847s)
2023-01-11T21:35:33.1085194Z   test_comprehensive_stft_cpu_float32 (__main__.TestDecompCPU) ... ok (2.043s)
2023-01-11T21:35:33.1085334Z   test_comprehensive_stft_cpu_float64 (__main__.TestDecompCPU) ... ok (2.005s)
2023-01-11T21:35:33.1085471Z   test_comprehensive_sub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1085611Z   test_comprehensive_sub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.590s)
2023-01-11T21:35:33.1085750Z   test_comprehensive_sub_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.154s)
2023-01-11T21:35:33.1085877Z   test_comprehensive_sub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.634s)
2023-01-11T21:35:33.1086013Z   test_comprehensive_sub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1086147Z   test_comprehensive_sub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.330s)
2023-01-11T21:35:33.1086279Z   test_comprehensive_sub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.325s)
2023-01-11T21:35:33.1086411Z   test_comprehensive_sub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1086545Z   test_comprehensive_sub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1086678Z   test_comprehensive_sub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1086811Z   test_comprehensive_sub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1086932Z   test_comprehensive_sub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1087071Z   test_comprehensive_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1087203Z   test_comprehensive_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1087343Z   test_comprehensive_sum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.1087482Z   test_comprehensive_sum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.177s)
2023-01-11T21:35:33.1087621Z   test_comprehensive_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1087756Z   test_comprehensive_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.1087888Z   test_comprehensive_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.1088011Z   test_comprehensive_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1088146Z   test_comprehensive_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1088279Z   test_comprehensive_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1088413Z   test_comprehensive_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1088541Z   test_comprehensive_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1088686Z   test_comprehensive_sum_to_size_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1088829Z   test_comprehensive_sum_to_size_cpu_bool (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1088980Z   test_comprehensive_sum_to_size_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.1089114Z   test_comprehensive_sum_to_size_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.1089292Z   test_comprehensive_sum_to_size_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1089433Z   test_comprehensive_sum_to_size_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1089600Z   test_comprehensive_sum_to_size_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1089745Z   test_comprehensive_sum_to_size_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1089884Z   test_comprehensive_sum_to_size_cpu_int32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1090021Z   test_comprehensive_sum_to_size_cpu_int64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1090162Z   test_comprehensive_sum_to_size_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1090299Z   test_comprehensive_sum_to_size_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1090429Z   test_comprehensive_svd_cpu_complex128 (__main__.TestDecompCPU) ... ok (15.912s)
2023-01-11T21:35:33.1090572Z   test_comprehensive_svd_cpu_complex64 (__main__.TestDecompCPU) ... ok (16.532s)
2023-01-11T21:35:33.1090710Z   test_comprehensive_svd_cpu_float32 (__main__.TestDecompCPU) ... ok (10.365s)
2023-01-11T21:35:33.1090848Z   test_comprehensive_svd_cpu_float64 (__main__.TestDecompCPU) ... ok (9.746s)
2023-01-11T21:35:33.1091014Z   test_comprehensive_svd_lowrank_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.899s)
2023-01-11T21:35:33.1091175Z   test_comprehensive_svd_lowrank_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.855s)
2023-01-11T21:35:33.1091319Z   test_comprehensive_symeig_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.513s)
2023-01-11T21:35:33.1091461Z   test_comprehensive_symeig_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.525s)
2023-01-11T21:35:33.1091588Z   test_comprehensive_symeig_cpu_float32 (__main__.TestDecompCPU) ... ok (0.347s)
2023-01-11T21:35:33.1091730Z   test_comprehensive_symeig_cpu_float64 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1091869Z   test_comprehensive_t_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1092001Z   test_comprehensive_t_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1092141Z   test_comprehensive_t_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1092278Z   test_comprehensive_t_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1092412Z   test_comprehensive_t_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1092547Z   test_comprehensive_t_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1092665Z   test_comprehensive_t_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1092796Z   test_comprehensive_t_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1092923Z   test_comprehensive_t_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1093053Z   test_comprehensive_t_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1093188Z   test_comprehensive_t_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1093318Z   test_comprehensive_t_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1093471Z   test_comprehensive_take_along_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1093619Z   test_comprehensive_take_along_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1093759Z   test_comprehensive_take_along_dim_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1093912Z   test_comprehensive_take_along_dim_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.1094061Z   test_comprehensive_take_along_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1094210Z   test_comprehensive_take_along_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.1094356Z   test_comprehensive_take_along_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1094537Z   test_comprehensive_take_along_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1094712Z   test_comprehensive_take_along_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1094861Z   test_comprehensive_take_along_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1095004Z   test_comprehensive_take_along_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1095137Z   test_comprehensive_take_along_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1095276Z   test_comprehensive_take_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1095409Z   test_comprehensive_take_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1095552Z   test_comprehensive_take_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1095693Z   test_comprehensive_take_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1095835Z   test_comprehensive_take_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1095972Z   test_comprehensive_take_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1096109Z   test_comprehensive_take_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1096236Z   test_comprehensive_take_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1096372Z   test_comprehensive_take_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1096505Z   test_comprehensive_take_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1096638Z   test_comprehensive_take_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1096776Z   test_comprehensive_take_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1096912Z   test_comprehensive_tan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1097049Z   test_comprehensive_tan_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1097189Z   test_comprehensive_tan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.219s)
2023-01-11T21:35:33.1097320Z   test_comprehensive_tan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.220s)
2023-01-11T21:35:33.1097457Z   test_comprehensive_tan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.1097594Z   test_comprehensive_tan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.1097726Z   test_comprehensive_tan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1097858Z   test_comprehensive_tan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1097990Z   test_comprehensive_tan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1098122Z   test_comprehensive_tan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1098251Z   test_comprehensive_tan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1098381Z   test_comprehensive_tanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1098510Z   test_comprehensive_tanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1098653Z   test_comprehensive_tanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.109s)
2023-01-11T21:35:33.1098794Z   test_comprehensive_tanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.1098931Z   test_comprehensive_tanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1099067Z   test_comprehensive_tanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1099202Z   test_comprehensive_tanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1099337Z   test_comprehensive_tanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1099457Z   test_comprehensive_tanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1099592Z   test_comprehensive_tanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1099758Z   test_comprehensive_tanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1099939Z   test_comprehensive_tensor_split_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1100086Z   test_comprehensive_tensor_split_cpu_bool (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.1100237Z   test_comprehensive_tensor_split_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.917s)
2023-01-11T21:35:33.1100387Z   test_comprehensive_tensor_split_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.934s)
2023-01-11T21:35:33.1100535Z   test_comprehensive_tensor_split_cpu_float16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1100669Z   test_comprehensive_tensor_split_cpu_float32 (__main__.TestDecompCPU) ... ok (0.532s)
2023-01-11T21:35:33.1100811Z   test_comprehensive_tensor_split_cpu_float64 (__main__.TestDecompCPU) ... ok (0.523s)
2023-01-11T21:35:33.1100958Z   test_comprehensive_tensor_split_cpu_int16 (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.1101099Z   test_comprehensive_tensor_split_cpu_int32 (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.1101239Z   test_comprehensive_tensor_split_cpu_int64 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.1101382Z   test_comprehensive_tensor_split_cpu_int8 (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.1101521Z   test_comprehensive_tensor_split_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.1101666Z   test_comprehensive_tensordot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1101799Z   test_comprehensive_tensordot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.1101946Z   test_comprehensive_tensordot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1102086Z   test_comprehensive_tensordot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1102228Z   test_comprehensive_tensordot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1102371Z   test_comprehensive_tensordot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1102516Z   test_comprehensive_tensordot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1102659Z   test_comprehensive_tensordot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1102802Z   test_comprehensive_tensordot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1102944Z   test_comprehensive_tensordot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1103072Z   test_comprehensive_tile_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1103208Z   test_comprehensive_tile_cpu_bool (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1103347Z   test_comprehensive_tile_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.159s)
2023-01-11T21:35:33.1103490Z   test_comprehensive_tile_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.167s)
2023-01-11T21:35:33.1103630Z   test_comprehensive_tile_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1103829Z   test_comprehensive_tile_cpu_float32 (__main__.TestDecompCPU) ... ok (0.109s)
2023-01-11T21:35:33.1103967Z   test_comprehensive_tile_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.1104104Z   test_comprehensive_tile_cpu_int16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1104225Z   test_comprehensive_tile_cpu_int32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1104358Z   test_comprehensive_tile_cpu_int64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.1104491Z   test_comprehensive_tile_cpu_int8 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1104625Z   test_comprehensive_tile_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1104762Z   test_comprehensive_to_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1104929Z   test_comprehensive_to_cpu_bool (__main__.TestDecompCPU) ... ok (0.536s)
2023-01-11T21:35:33.1105068Z   test_comprehensive_to_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.479s)
2023-01-11T21:35:33.1105238Z   test_comprehensive_to_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.496s)
2023-01-11T21:35:33.1105362Z   test_comprehensive_to_cpu_float16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1105496Z   test_comprehensive_to_cpu_float32 (__main__.TestDecompCPU) ... ok (1.817s)
2023-01-11T21:35:33.1105627Z   test_comprehensive_to_cpu_float64 (__main__.TestDecompCPU) ... ok (0.851s)
2023-01-11T21:35:33.1105759Z   test_comprehensive_to_cpu_int16 (__main__.TestDecompCPU) ... ok (0.530s)
2023-01-11T21:35:33.1105891Z   test_comprehensive_to_cpu_int32 (__main__.TestDecompCPU) ... ok (0.534s)
2023-01-11T21:35:33.1106023Z   test_comprehensive_to_cpu_int64 (__main__.TestDecompCPU) ... ok (0.530s)
2023-01-11T21:35:33.1106152Z   test_comprehensive_to_cpu_int8 (__main__.TestDecompCPU) ... ok (0.533s)
2023-01-11T21:35:33.1106287Z   test_comprehensive_to_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.529s)
2023-01-11T21:35:33.1106422Z   test_comprehensive_to_sparse_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1106563Z   test_comprehensive_to_sparse_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1106711Z   test_comprehensive_to_sparse_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1106858Z   test_comprehensive_to_sparse_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1107001Z   test_comprehensive_to_sparse_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1107141Z   test_comprehensive_to_sparse_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1107278Z   test_comprehensive_to_sparse_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1107419Z   test_comprehensive_to_sparse_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1107548Z   test_comprehensive_to_sparse_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1107688Z   test_comprehensive_to_sparse_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1107830Z   test_comprehensive_to_sparse_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1107972Z   test_comprehensive_to_sparse_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1108111Z   test_comprehensive_topk_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1108249Z   test_comprehensive_topk_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1108386Z   test_comprehensive_topk_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1108523Z   test_comprehensive_topk_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1108647Z   test_comprehensive_topk_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1108782Z   test_comprehensive_topk_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1108921Z   test_comprehensive_topk_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1109060Z   test_comprehensive_topk_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1109205Z   test_comprehensive_trace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1109347Z   test_comprehensive_trace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1109486Z   test_comprehensive_trace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1109625Z   test_comprehensive_trace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1109750Z   test_comprehensive_trace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1109887Z   test_comprehensive_trace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1110020Z   test_comprehensive_trace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1110193Z   test_comprehensive_trace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1110327Z   test_comprehensive_trace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1110539Z   test_comprehensive_transpose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1110683Z   test_comprehensive_transpose_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1110833Z   test_comprehensive_transpose_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.1110969Z   test_comprehensive_transpose_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1111114Z   test_comprehensive_transpose_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.084s)
2023-01-11T21:35:33.1111259Z   test_comprehensive_transpose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1111400Z   test_comprehensive_transpose_cpu_float32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1111543Z   test_comprehensive_transpose_cpu_float64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1111686Z   test_comprehensive_transpose_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1111833Z   test_comprehensive_transpose_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1111976Z   test_comprehensive_transpose_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1112104Z   test_comprehensive_transpose_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1112245Z   test_comprehensive_transpose_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1112393Z   test_comprehensive_trapezoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.1112542Z   test_comprehensive_trapezoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.585s)
2023-01-11T21:35:33.1112691Z   test_comprehensive_trapezoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.633s)
2023-01-11T21:35:33.1112837Z   test_comprehensive_trapezoid_cpu_float16 (__main__.TestDecompCPU) ... ok (0.100s)
2023-01-11T21:35:33.1112979Z   test_comprehensive_trapezoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.369s)
2023-01-11T21:35:33.1113119Z   test_comprehensive_trapezoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.343s)
2023-01-11T21:35:33.1113261Z   test_comprehensive_trapezoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1113391Z   test_comprehensive_trapezoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1113530Z   test_comprehensive_trapezoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1113750Z   test_comprehensive_trapezoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1113896Z   test_comprehensive_trapezoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1114038Z   test_comprehensive_trapz_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.1114183Z   test_comprehensive_trapz_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.586s)
2023-01-11T21:35:33.1114328Z   test_comprehensive_trapz_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.626s)
2023-01-11T21:35:33.1114471Z   test_comprehensive_trapz_cpu_float16 (__main__.TestDecompCPU) ... ok (0.101s)
2023-01-11T21:35:33.1114598Z   test_comprehensive_trapz_cpu_float32 (__main__.TestDecompCPU) ... ok (0.367s)
2023-01-11T21:35:33.1114738Z   test_comprehensive_trapz_cpu_float64 (__main__.TestDecompCPU) ... ok (0.341s)
2023-01-11T21:35:33.1114875Z   test_comprehensive_trapz_cpu_int16 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1115011Z   test_comprehensive_trapz_cpu_int32 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1115150Z   test_comprehensive_trapz_cpu_int64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1115288Z   test_comprehensive_trapz_cpu_int8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1115426Z   test_comprehensive_trapz_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1115638Z   test_comprehensive_triangular_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.227s)
2023-01-11T21:35:33.1115783Z   test_comprehensive_triangular_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.233s)
2023-01-11T21:35:33.1115966Z   test_comprehensive_triangular_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.1116121Z   test_comprehensive_triangular_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1116261Z   test_comprehensive_tril_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1116396Z   test_comprehensive_tril_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1116537Z   test_comprehensive_tril_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.243s)
2023-01-11T21:35:33.1116680Z   test_comprehensive_tril_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.245s)
2023-01-11T21:35:33.1116816Z   test_comprehensive_tril_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1116942Z   test_comprehensive_tril_cpu_float32 (__main__.TestDecompCPU) ... ok (0.136s)
2023-01-11T21:35:33.1117077Z   test_comprehensive_tril_cpu_float64 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.1117214Z   test_comprehensive_tril_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1117348Z   test_comprehensive_tril_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1117481Z   test_comprehensive_tril_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1117615Z   test_comprehensive_tril_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1117750Z   test_comprehensive_tril_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1117893Z   test_comprehensive_tril_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1118022Z   test_comprehensive_tril_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1118164Z   test_comprehensive_triu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1118300Z   test_comprehensive_triu_cpu_bool (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1118444Z   test_comprehensive_triu_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.244s)
2023-01-11T21:35:33.1118584Z   test_comprehensive_triu_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.245s)
2023-01-11T21:35:33.1118722Z   test_comprehensive_triu_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1118862Z   test_comprehensive_triu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.136s)
2023-01-11T21:35:33.1118999Z   test_comprehensive_triu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.134s)
2023-01-11T21:35:33.1119119Z   test_comprehensive_triu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1119254Z   test_comprehensive_triu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1119388Z   test_comprehensive_triu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1119523Z   test_comprehensive_triu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1119656Z   test_comprehensive_triu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1119801Z   test_comprehensive_triu_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1119940Z   test_comprehensive_triu_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1120088Z   test_comprehensive_true_divide_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1120230Z   test_comprehensive_true_divide_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1120367Z   test_comprehensive_true_divide_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.654s)
2023-01-11T21:35:33.1120516Z   test_comprehensive_true_divide_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.663s)
2023-01-11T21:35:33.1120662Z   test_comprehensive_true_divide_cpu_float16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1120835Z   test_comprehensive_true_divide_cpu_float32 (__main__.TestDecompCPU) ... ok (0.792s)
2023-01-11T21:35:33.1120982Z   test_comprehensive_true_divide_cpu_float64 (__main__.TestDecompCPU) ... ok (0.782s)
2023-01-11T21:35:33.1121153Z   test_comprehensive_true_divide_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1121294Z   test_comprehensive_true_divide_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1121432Z   test_comprehensive_true_divide_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1121563Z   test_comprehensive_true_divide_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1121702Z   test_comprehensive_true_divide_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1121842Z   test_comprehensive_trunc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1121982Z   test_comprehensive_trunc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1122122Z   test_comprehensive_trunc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1122259Z   test_comprehensive_trunc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1122395Z   test_comprehensive_trunc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1122529Z   test_comprehensive_trunc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1122651Z   test_comprehensive_trunc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1122785Z   test_comprehensive_trunc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1122930Z   test_comprehensive_unbind_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1123065Z   test_comprehensive_unbind_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1123209Z   test_comprehensive_unbind_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.1123352Z   test_comprehensive_unbind_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.1123619Z   test_comprehensive_unbind_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.213s)
2023-01-11T21:35:33.1123761Z   test_comprehensive_unbind_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1123889Z   test_comprehensive_unbind_cpu_float32 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1124030Z   test_comprehensive_unbind_cpu_float64 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.1124169Z   test_comprehensive_unbind_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1124305Z   test_comprehensive_unbind_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1124444Z   test_comprehensive_unbind_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1124580Z   test_comprehensive_unbind_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1124717Z   test_comprehensive_unbind_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1124864Z   test_comprehensive_unflatten_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1124993Z   test_comprehensive_unflatten_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1125144Z   test_comprehensive_unflatten_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.1125290Z   test_comprehensive_unflatten_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1125432Z   test_comprehensive_unflatten_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.1125576Z   test_comprehensive_unflatten_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1125717Z   test_comprehensive_unflatten_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1125863Z   test_comprehensive_unflatten_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1126006Z   test_comprehensive_unflatten_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1126217Z   test_comprehensive_unflatten_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1126346Z   test_comprehensive_unflatten_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1126523Z   test_comprehensive_unflatten_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1126666Z   test_comprehensive_unflatten_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1126814Z   test_comprehensive_unfold_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1126959Z   test_comprehensive_unfold_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.337s)
2023-01-11T21:35:33.1127111Z   test_comprehensive_unfold_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.302s)
2023-01-11T21:35:33.1127261Z   test_comprehensive_unfold_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.949s)
2023-01-11T21:35:33.1127409Z   test_comprehensive_unfold_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.303s)
2023-01-11T21:35:33.1127546Z   test_comprehensive_unfold_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1127693Z   test_comprehensive_unfold_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (1.266s)
2023-01-11T21:35:33.1127834Z   test_comprehensive_unfold_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (1.258s)
2023-01-11T21:35:33.1127977Z   test_comprehensive_unfold_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1128115Z   test_comprehensive_unfold_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.337s)
2023-01-11T21:35:33.1128253Z   test_comprehensive_unfold_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1128395Z   test_comprehensive_unfold_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.336s)
2023-01-11T21:35:33.1128537Z   test_comprehensive_unfold_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.334s)
2023-01-11T21:35:33.1128666Z   test_comprehensive_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1128807Z   test_comprehensive_unfold_cpu_bool (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1128946Z   test_comprehensive_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.307s)
2023-01-11T21:35:33.1129087Z   test_comprehensive_unfold_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.950s)
2023-01-11T21:35:33.1129226Z   test_comprehensive_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.420s)
2023-01-11T21:35:33.1129367Z   test_comprehensive_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1129507Z   test_comprehensive_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (1.278s)
2023-01-11T21:35:33.1129647Z   test_comprehensive_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (1.265s)
2023-01-11T21:35:33.1129771Z   test_comprehensive_unfold_cpu_int16 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1129907Z   test_comprehensive_unfold_cpu_int32 (__main__.TestDecompCPU) ... ok (0.336s)
2023-01-11T21:35:33.1130046Z   test_comprehensive_unfold_cpu_int64 (__main__.TestDecompCPU) ... ok (0.334s)
2023-01-11T21:35:33.1130182Z   test_comprehensive_unfold_cpu_int8 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1130318Z   test_comprehensive_unfold_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.334s)
2023-01-11T21:35:33.1130459Z   test_comprehensive_uniform_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1130605Z   test_comprehensive_uniform_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1130746Z   test_comprehensive_uniform_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1130875Z   test_comprehensive_uniform_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1131015Z   test_comprehensive_uniform_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1131157Z   test_comprehensive_uniform_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1131315Z   test_comprehensive_unique_consecutive_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1131501Z   test_comprehensive_unique_consecutive_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1131687Z   test_comprehensive_unique_consecutive_cpu_float32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1131845Z   test_comprehensive_unique_consecutive_cpu_float64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1131996Z   test_comprehensive_unique_consecutive_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1132147Z   test_comprehensive_unique_consecutive_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1132282Z   test_comprehensive_unique_consecutive_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1132433Z   test_comprehensive_unique_consecutive_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1132581Z   test_comprehensive_unique_consecutive_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1132724Z   test_comprehensive_unique_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1132861Z   test_comprehensive_unique_cpu_bool (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.1133004Z   test_comprehensive_unique_cpu_float32 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1133142Z   test_comprehensive_unique_cpu_float64 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1133280Z   test_comprehensive_unique_cpu_int16 (__main__.TestDecompCPU) ... ok (0.124s)
2023-01-11T21:35:33.1133404Z   test_comprehensive_unique_cpu_int32 (__main__.TestDecompCPU) ... ok (0.124s)
2023-01-11T21:35:33.1133540Z   test_comprehensive_unique_cpu_int64 (__main__.TestDecompCPU) ... ok (0.124s)
2023-01-11T21:35:33.1133677Z   test_comprehensive_unique_cpu_int8 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.1133812Z   test_comprehensive_unique_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.1133962Z   test_comprehensive_unsqueeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1134100Z   test_comprehensive_unsqueeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1134250Z   test_comprehensive_unsqueeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.101s)
2023-01-11T21:35:33.1134396Z   test_comprehensive_unsqueeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1134528Z   test_comprehensive_unsqueeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.1134673Z   test_comprehensive_unsqueeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1134813Z   test_comprehensive_unsqueeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.062s)
2023-01-11T21:35:33.1134951Z   test_comprehensive_unsqueeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.1135092Z   test_comprehensive_unsqueeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1135232Z   test_comprehensive_unsqueeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1135377Z   test_comprehensive_unsqueeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1135519Z   test_comprehensive_unsqueeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1135660Z   test_comprehensive_unsqueeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1135786Z   test_comprehensive_var_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1135923Z   test_comprehensive_var_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.465s)
2023-01-11T21:35:33.1136064Z   test_comprehensive_var_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.474s)
2023-01-11T21:35:33.1136200Z   test_comprehensive_var_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1136337Z   test_comprehensive_var_cpu_float32 (__main__.TestDecompCPU) ... ok (0.280s)
2023-01-11T21:35:33.1136471Z   test_comprehensive_var_cpu_float64 (__main__.TestDecompCPU) ... ok (0.273s)
2023-01-11T21:35:33.1136650Z   test_comprehensive_var_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1136795Z   test_comprehensive_var_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.896s)
2023-01-11T21:35:33.1136957Z   test_comprehensive_var_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.912s)
2023-01-11T21:35:33.1137099Z   test_comprehensive_var_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1137235Z   test_comprehensive_var_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.527s)
2023-01-11T21:35:33.1137371Z   test_comprehensive_var_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.514s)
2023-01-11T21:35:33.1137524Z   test_comprehensive_var_mean_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1137680Z   test_comprehensive_var_mean_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.1137835Z   test_comprehensive_var_mean_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1137989Z   test_comprehensive_var_mean_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1138131Z   test_comprehensive_var_mean_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1138279Z   test_comprehensive_var_mean_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1138429Z   test_comprehensive_var_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1138578Z   test_comprehensive_var_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1138729Z   test_comprehensive_var_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1138877Z   test_comprehensive_var_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1139024Z   test_comprehensive_var_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1139169Z   test_comprehensive_var_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1139311Z   test_comprehensive_vdot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1139443Z   test_comprehensive_vdot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1139586Z   test_comprehensive_vdot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1139722Z   test_comprehensive_vdot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1139861Z   test_comprehensive_vdot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1139998Z   test_comprehensive_vdot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140135Z   test_comprehensive_vdot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140269Z   test_comprehensive_vdot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140404Z   test_comprehensive_vdot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140525Z   test_comprehensive_vdot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140675Z   test_comprehensive_view_as_complex_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140824Z   test_comprehensive_view_as_complex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1140972Z   test_comprehensive_view_as_complex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1141114Z   test_comprehensive_view_as_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1141251Z   test_comprehensive_view_as_cpu_bool (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1141395Z   test_comprehensive_view_as_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.1141538Z   test_comprehensive_view_as_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1141669Z   test_comprehensive_view_as_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.1141842Z   test_comprehensive_view_as_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1141981Z   test_comprehensive_view_as_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1142148Z   test_comprehensive_view_as_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1142287Z   test_comprehensive_view_as_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1142423Z   test_comprehensive_view_as_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1142559Z   test_comprehensive_view_as_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1142696Z   test_comprehensive_view_as_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1142819Z   test_comprehensive_view_as_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1142970Z   test_comprehensive_view_as_real_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1143118Z   test_comprehensive_view_as_real_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1143262Z   test_comprehensive_view_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1143403Z   test_comprehensive_view_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1143550Z   test_comprehensive_view_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1143689Z   test_comprehensive_view_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1143828Z   test_comprehensive_view_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1143955Z   test_comprehensive_view_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1144096Z   test_comprehensive_view_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1144235Z   test_comprehensive_view_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1144375Z   test_comprehensive_view_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1144513Z   test_comprehensive_view_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1144654Z   test_comprehensive_view_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1144789Z   test_comprehensive_view_cpu_bool (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1144926Z   test_comprehensive_view_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.1145054Z   test_comprehensive_view_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1145194Z   test_comprehensive_view_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.1145330Z   test_comprehensive_view_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1145468Z   test_comprehensive_view_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.1145604Z   test_comprehensive_view_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.1145741Z   test_comprehensive_view_cpu_int16 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1145879Z   test_comprehensive_view_cpu_int32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1146012Z   test_comprehensive_view_cpu_int64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1146145Z   test_comprehensive_view_cpu_int8 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1146268Z   test_comprehensive_view_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1146409Z   test_comprehensive_vsplit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1146546Z   test_comprehensive_vsplit_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1146691Z   test_comprehensive_vsplit_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.143s)
2023-01-11T21:35:33.1146840Z   test_comprehensive_vsplit_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.1147016Z   test_comprehensive_vsplit_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.1147156Z   test_comprehensive_vsplit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1147329Z   test_comprehensive_vsplit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.1147455Z   test_comprehensive_vsplit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.1147592Z   test_comprehensive_vsplit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1147727Z   test_comprehensive_vsplit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1147864Z   test_comprehensive_vsplit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1148001Z   test_comprehensive_vsplit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1148136Z   test_comprehensive_vsplit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1148280Z   test_comprehensive_vstack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1148417Z   test_comprehensive_vstack_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1148554Z   test_comprehensive_vstack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1148697Z   test_comprehensive_vstack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1148836Z   test_comprehensive_vstack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1148977Z   test_comprehensive_vstack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1149115Z   test_comprehensive_vstack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1149254Z   test_comprehensive_vstack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1149389Z   test_comprehensive_vstack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1149527Z   test_comprehensive_vstack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1149652Z   test_comprehensive_vstack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1149790Z   test_comprehensive_vstack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1149929Z   test_comprehensive_vstack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1150069Z   test_comprehensive_where_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1150205Z   test_comprehensive_where_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1150349Z   test_comprehensive_where_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.764s)
2023-01-11T21:35:33.1150490Z   test_comprehensive_where_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.1150632Z   test_comprehensive_where_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.767s)
2023-01-11T21:35:33.1150759Z   test_comprehensive_where_cpu_float16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1150903Z   test_comprehensive_where_cpu_float32 (__main__.TestDecompCPU) ... ok (0.427s)
2023-01-11T21:35:33.1151042Z   test_comprehensive_where_cpu_float64 (__main__.TestDecompCPU) ... ok (0.426s)
2023-01-11T21:35:33.1151180Z   test_comprehensive_where_cpu_int16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1151314Z   test_comprehensive_where_cpu_int32 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1151445Z   test_comprehensive_where_cpu_int64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1151581Z   test_comprehensive_where_cpu_int8 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1151717Z   test_comprehensive_where_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1151844Z   test_comprehensive_xlogy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.108s)
2023-01-11T21:35:33.1151981Z   test_comprehensive_xlogy_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1152118Z   test_comprehensive_xlogy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.110s)
2023-01-11T21:35:33.1152306Z   test_comprehensive_xlogy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.850s)
2023-01-11T21:35:33.1152475Z   test_comprehensive_xlogy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.837s)
2023-01-11T21:35:33.1152612Z   test_comprehensive_xlogy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1152745Z   test_comprehensive_xlogy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1152878Z   test_comprehensive_xlogy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1153000Z   test_comprehensive_xlogy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1153133Z   test_comprehensive_xlogy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1153273Z   test_comprehensive_zero__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1153407Z   test_comprehensive_zero__cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1153553Z   test_comprehensive_zero__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1153772Z   test_comprehensive_zero__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1153914Z   test_comprehensive_zero__cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1154051Z   test_comprehensive_zero__cpu_float32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1154174Z   test_comprehensive_zero__cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1154310Z   test_comprehensive_zero__cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1154442Z   test_comprehensive_zero__cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1154574Z   test_comprehensive_zero__cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1154709Z   test_comprehensive_zero__cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1154840Z   test_comprehensive_zero__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1154982Z   test_comprehensive_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1155120Z   test_comprehensive_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1155252Z   test_comprehensive_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1155394Z   test_comprehensive_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1155539Z   test_comprehensive_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1155676Z   test_comprehensive_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1155814Z   test_comprehensive_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1155950Z   test_comprehensive_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1156083Z   test_comprehensive_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1156220Z   test_comprehensive_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1156351Z   test_comprehensive_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1156477Z   test_comprehensive_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1156611Z   test_comprehensive_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1156757Z   test_comprehensive_zeros_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1156897Z   test_comprehensive_zeros_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1157046Z   test_comprehensive_zeros_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1157193Z   test_comprehensive_zeros_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1157341Z   test_comprehensive_zeros_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1157525Z   test_comprehensive_zeros_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1157653Z   test_comprehensive_zeros_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1157823Z   test_comprehensive_zeros_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1157966Z   test_comprehensive_zeros_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1158104Z   test_comprehensive_zeros_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1158240Z   test_comprehensive_zeros_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1158380Z   test_comprehensive_zeros_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1158522Z   test_comprehensive_zeros_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1158672Z   test_quick__native_batch_norm_legit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1158811Z   test_quick__native_batch_norm_legit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.187s)
2023-01-11T21:35:33.1158959Z   test_quick__native_batch_norm_legit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.177s)
2023-01-11T21:35:33.1159176Z   test_quick__softmax_backward_data_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: _softmax_backward_data in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1159326Z   test_quick__softmax_backward_data_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.1159474Z   test_quick__softmax_backward_data_cpu_float64 (__main__.TestDecompCPU) ... ok (0.035s)
2023-01-11T21:35:33.1159601Z   test_quick_abs_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1159733Z   test_quick_abs_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1159862Z   test_quick_abs_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1159980Z   test_quick_abs_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1160109Z   test_quick_abs_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1160233Z   test_quick_abs_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1160360Z   test_quick_abs_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1160482Z   test_quick_abs_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1160604Z   test_quick_abs_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1160723Z   test_quick_abs_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1160845Z   test_quick_abs_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1160953Z   test_quick_abs_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1161080Z   test_quick_acos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1161202Z   test_quick_acos_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1161337Z   test_quick_acos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1161470Z   test_quick_acos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1161600Z   test_quick_acos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1161725Z   test_quick_acos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1161851Z   test_quick_acos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1161961Z   test_quick_acos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1162085Z   test_quick_acos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1162207Z   test_quick_acos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1162329Z   test_quick_acos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1162458Z   test_quick_acosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1162580Z   test_quick_acosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1162763Z   test_quick_acosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1162895Z   test_quick_acosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1163042Z   test_quick_acosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1163172Z   test_quick_acosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1163296Z   test_quick_acosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1163531Z   test_quick_acosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1163652Z   test_quick_acosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1163775Z   test_quick_acosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1163900Z   test_quick_acosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1164028Z   test_quick_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1164142Z   test_quick_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1164271Z   test_quick_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.1164401Z   test_quick_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.1164528Z   test_quick_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.1164654Z   test_quick_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1164777Z   test_quick_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.084s)
2023-01-11T21:35:33.1164898Z   test_quick_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.1165022Z   test_quick_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1165129Z   test_quick_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1165246Z   test_quick_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1165370Z   test_quick_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1165492Z   test_quick_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1165629Z   test_quick_addcdiv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1165766Z   test_quick_addcdiv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.107s)
2023-01-11T21:35:33.1165900Z   test_quick_addcdiv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.1166019Z   test_quick_addcdiv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1166150Z   test_quick_addcdiv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.1166284Z   test_quick_addcmul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1166419Z   test_quick_addcmul_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.1166552Z   test_quick_addcmul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.110s)
2023-01-11T21:35:33.1166682Z   test_quick_addcmul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1166810Z   test_quick_addcmul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.061s)
2023-01-11T21:35:33.1166941Z   test_quick_addcmul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1167055Z   test_quick_addcmul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1167183Z   test_quick_addcmul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1167310Z   test_quick_addcmul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1167439Z   test_quick_addcmul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1167567Z   test_quick_addmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1167702Z   test_quick_addmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1167831Z   test_quick_addmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1168016Z   test_quick_addmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1168128Z   test_quick_addmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1168292Z   test_quick_addmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1168418Z   test_quick_addmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1168540Z   test_quick_addmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1168665Z   test_quick_addmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1168790Z   test_quick_addmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1168934Z   test_quick_addmm_decomposed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1169080Z   test_quick_addmm_decomposed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1169216Z   test_quick_addmm_decomposed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1169360Z   test_quick_addmm_decomposed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1169504Z   test_quick_addmm_decomposed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1169645Z   test_quick_addmm_decomposed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1169786Z   test_quick_addmm_decomposed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1169926Z   test_quick_addmm_decomposed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1170065Z   test_quick_addmm_decomposed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1170204Z   test_quick_addmm_decomposed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1170320Z   test_quick_addr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1170444Z   test_quick_addr_cpu_bool (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1170572Z   test_quick_addr_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1170704Z   test_quick_addr_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1170830Z   test_quick_addr_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1170959Z   test_quick_addr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1171084Z   test_quick_addr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1171207Z   test_quick_addr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1171317Z   test_quick_addr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1171437Z   test_quick_addr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1171558Z   test_quick_addr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1171679Z   test_quick_addr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1171805Z   test_quick_all_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1171928Z   test_quick_all_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1172057Z   test_quick_all_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1172188Z   test_quick_all_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1172300Z   test_quick_all_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1172423Z   test_quick_all_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1172543Z   test_quick_all_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1172666Z   test_quick_all_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1172785Z   test_quick_all_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1172901Z   test_quick_all_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1173023Z   test_quick_all_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1173173Z   test_quick_all_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1173289Z   test_quick_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1173439Z   test_quick_amax_cpu_bool (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1173567Z   test_quick_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1173693Z   test_quick_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1173818Z   test_quick_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1173944Z   test_quick_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1174066Z   test_quick_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1174190Z   test_quick_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1174300Z   test_quick_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1174421Z   test_quick_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1174549Z   test_quick_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1174672Z   test_quick_amin_cpu_bool (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1174799Z   test_quick_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1174923Z   test_quick_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1175047Z   test_quick_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1175160Z   test_quick_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1175282Z   test_quick_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1175402Z   test_quick_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1175522Z   test_quick_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1175644Z   test_quick_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1175771Z   test_quick_any_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1175894Z   test_quick_any_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1176026Z   test_quick_any_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1176142Z   test_quick_any_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1176269Z   test_quick_any_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1176392Z   test_quick_any_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1176513Z   test_quick_any_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1176633Z   test_quick_any_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1176751Z   test_quick_any_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1176869Z   test_quick_any_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1176991Z   test_quick_any_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1177096Z   test_quick_any_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1177231Z   test_quick_arange_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1177363Z   test_quick_arange_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1177492Z   test_quick_arange_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1177618Z   test_quick_arange_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1177744Z   test_quick_arange_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1177868Z   test_quick_arange_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1177989Z   test_quick_arange_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1178103Z   test_quick_arange_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1178228Z   test_quick_arange_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1178412Z   test_quick_as_strided_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1178582Z   test_quick_as_strided_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1178734Z   test_quick_as_strided_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1178881Z   test_quick_as_strided_scatter_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1179025Z   test_quick_as_strided_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1179170Z   test_quick_as_strided_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1179298Z   test_quick_as_strided_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1179435Z   test_quick_as_strided_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1179576Z   test_quick_as_strided_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1179714Z   test_quick_as_strided_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1179851Z   test_quick_as_strided_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1179989Z   test_quick_as_strided_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1180131Z   test_quick_as_strided_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1180259Z   test_quick_asin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1180371Z   test_quick_asin_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1180501Z   test_quick_asin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1180631Z   test_quick_asin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1180756Z   test_quick_asin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1180882Z   test_quick_asin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1181005Z   test_quick_asin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1181131Z   test_quick_asin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1181252Z   test_quick_asin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1181362Z   test_quick_asin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1181483Z   test_quick_asin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1181610Z   test_quick_asinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1181733Z   test_quick_asinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1181866Z   test_quick_asinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1181997Z   test_quick_asinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1182126Z   test_quick_asinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1182255Z   test_quick_asinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1182367Z   test_quick_asinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1182492Z   test_quick_asinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1182616Z   test_quick_asinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1182741Z   test_quick_asinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1182864Z   test_quick_asinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1182992Z   test_quick_atan2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1183114Z   test_quick_atan2_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1183240Z   test_quick_atan2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1183351Z   test_quick_atan2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1183509Z   test_quick_atan2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1183630Z   test_quick_atan2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1183780Z   test_quick_atan2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1183906Z   test_quick_atan2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1184027Z   test_quick_atan2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1184155Z   test_quick_atan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1184266Z   test_quick_atan_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1184396Z   test_quick_atan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1184527Z   test_quick_atan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1184652Z   test_quick_atan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1184778Z   test_quick_atan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1184902Z   test_quick_atan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1185028Z   test_quick_atan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1185147Z   test_quick_atan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1185256Z   test_quick_atan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1185377Z   test_quick_atan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1185505Z   test_quick_atanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1185630Z   test_quick_atanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1185763Z   test_quick_atanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1185894Z   test_quick_atanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1186023Z   test_quick_atanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1186150Z   test_quick_atanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1186265Z   test_quick_atanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1186387Z   test_quick_atanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1186512Z   test_quick_atanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1186635Z   test_quick_atanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1186758Z   test_quick_atanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1186887Z   test_quick_bitwise_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187019Z   test_quick_bitwise_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187152Z   test_quick_bitwise_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187270Z   test_quick_bitwise_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187403Z   test_quick_bitwise_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187533Z   test_quick_bitwise_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187672Z   test_quick_bitwise_left_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187808Z   test_quick_bitwise_left_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1187941Z   test_quick_bitwise_left_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1188080Z   test_quick_bitwise_left_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1188217Z   test_quick_bitwise_left_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1188335Z   test_quick_bitwise_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1188465Z   test_quick_bitwise_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1188642Z   test_quick_bitwise_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1188769Z   test_quick_bitwise_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1188929Z   test_quick_bitwise_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1189062Z   test_quick_bitwise_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1189192Z   test_quick_bitwise_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1189321Z   test_quick_bitwise_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1189437Z   test_quick_bitwise_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1189564Z   test_quick_bitwise_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1189694Z   test_quick_bitwise_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1189822Z   test_quick_bitwise_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1189968Z   test_quick_bitwise_right_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1190107Z   test_quick_bitwise_right_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1190244Z   test_quick_bitwise_right_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1190384Z   test_quick_bitwise_right_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1190513Z   test_quick_bitwise_right_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1190644Z   test_quick_bitwise_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1190773Z   test_quick_bitwise_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1190904Z   test_quick_bitwise_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1191030Z   test_quick_bitwise_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1191159Z   test_quick_bitwise_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1191291Z   test_quick_bitwise_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1191428Z   test_quick_bucketize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1191547Z   test_quick_bucketize_cpu_float16 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.1191678Z   test_quick_bucketize_cpu_float32 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.1191807Z   test_quick_bucketize_cpu_float64 (__main__.TestDecompCPU) ... ok (0.096s)
2023-01-11T21:35:33.1191937Z   test_quick_bucketize_cpu_int16 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1192064Z   test_quick_bucketize_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1192192Z   test_quick_bucketize_cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1192322Z   test_quick_bucketize_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1192453Z   test_quick_bucketize_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1192570Z   test_quick_cat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1192696Z   test_quick_cat_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1192826Z   test_quick_cat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1192954Z   test_quick_cat_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.1193082Z   test_quick_cat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.1193209Z   test_quick_cat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1193333Z   test_quick_cat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1193454Z   test_quick_cat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1193564Z   test_quick_cat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1193843Z   test_quick_cat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1193960Z   test_quick_cat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1194112Z   test_quick_cat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1194233Z   test_quick_cat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1194362Z   test_quick_ceil_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1194489Z   test_quick_ceil_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1194617Z   test_quick_ceil_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1194730Z   test_quick_ceil_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1194853Z   test_quick_ceil_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1194972Z   test_quick_ceil_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1195095Z   test_quick_ceil_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1195222Z   test_quick_ceil_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1195352Z   test_quick_clamp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1195484Z   test_quick_clamp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1195610Z   test_quick_clamp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.1195724Z   test_quick_clamp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1195848Z   test_quick_clamp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1195973Z   test_quick_clamp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1196097Z   test_quick_clamp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1196220Z   test_quick_clamp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.084s)
2023-01-11T21:35:33.1196355Z   test_quick_clamp_max_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1196486Z   test_quick_clamp_max_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1196607Z   test_quick_clamp_max_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1196740Z   test_quick_clamp_max_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1196869Z   test_quick_clamp_max_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1196998Z   test_quick_clamp_max_cpu_int16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1197126Z   test_quick_clamp_max_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1197255Z   test_quick_clamp_max_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1197385Z   test_quick_clamp_max_cpu_int8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1197513Z   test_quick_clamp_max_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1197634Z   test_quick_clamp_min_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1197764Z   test_quick_clamp_min_cpu_bool (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1197894Z   test_quick_clamp_min_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1198028Z   test_quick_clamp_min_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1198156Z   test_quick_clamp_min_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1198284Z   test_quick_clamp_min_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1198411Z   test_quick_clamp_min_cpu_int32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1198537Z   test_quick_clamp_min_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1198654Z   test_quick_clamp_min_cpu_int8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1198780Z   test_quick_clamp_min_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1198909Z   test_quick_clone_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1199069Z   test_quick_clone_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1199201Z   test_quick_clone_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1199360Z   test_quick_clone_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1199490Z   test_quick_clone_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1199617Z   test_quick_clone_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1199733Z   test_quick_clone_cpu_float32 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1199858Z   test_quick_clone_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1199984Z   test_quick_clone_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1200107Z   test_quick_clone_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1200226Z   test_quick_clone_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1200353Z   test_quick_clone_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1200474Z   test_quick_clone_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1200605Z   test_quick_complex_cpu_float16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1200720Z   test_quick_complex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1200845Z   test_quick_complex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1200984Z   test_quick_conj_physical_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1201384Z   test_quick_conj_physical_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1201527Z   test_quick_conj_physical_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1201843Z   test_quick_conj_physical_cpu_complex32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1201987Z   test_quick_conj_physical_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1202128Z   test_quick_conj_physical_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1202267Z   test_quick_conj_physical_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1202392Z   test_quick_conj_physical_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1202698Z   test_quick_conj_physical_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1202999Z   test_quick_conj_physical_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1203295Z   test_quick_conj_physical_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1203713Z   test_quick_conj_physical_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1204016Z   test_quick_conj_physical_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1204160Z   test_quick_constant_pad_nd_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1204298Z   test_quick_constant_pad_nd_cpu_bool (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1204446Z   test_quick_constant_pad_nd_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.342s)
2023-01-11T21:35:33.1204577Z   test_quick_constant_pad_nd_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.347s)
2023-01-11T21:35:33.1204717Z   test_quick_constant_pad_nd_cpu_float16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1204858Z   test_quick_constant_pad_nd_cpu_float32 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.1205051Z   test_quick_constant_pad_nd_cpu_float64 (__main__.TestDecompCPU) ... ok (0.201s)
2023-01-11T21:35:33.1205188Z   test_quick_constant_pad_nd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1205363Z   test_quick_constant_pad_nd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1205501Z   test_quick_constant_pad_nd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.1205637Z   test_quick_constant_pad_nd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1205759Z   test_quick_constant_pad_nd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1205895Z   test_quick_copysign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1206023Z   test_quick_copysign_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1206157Z   test_quick_copysign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1206290Z   test_quick_copysign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.1206424Z   test_quick_copysign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.1206553Z   test_quick_copysign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1206684Z   test_quick_copysign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1206799Z   test_quick_copysign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1206933Z   test_quick_copysign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1207060Z   test_quick_copysign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1207187Z   test_quick_cos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1207310Z   test_quick_cos_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1207437Z   test_quick_cos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1207563Z   test_quick_cos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1207691Z   test_quick_cos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1207802Z   test_quick_cos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1207927Z   test_quick_cos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1208046Z   test_quick_cos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1208162Z   test_quick_cos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1208281Z   test_quick_cos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1208399Z   test_quick_cos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1208527Z   test_quick_cosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1208649Z   test_quick_cosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1208768Z   test_quick_cosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1208899Z   test_quick_cosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1209024Z   test_quick_cosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1209149Z   test_quick_cosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1209276Z   test_quick_cosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1209397Z   test_quick_cosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1209520Z   test_quick_cosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1209642Z   test_quick_cosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1209753Z   test_quick_cosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1209881Z   test_quick_cumsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1210012Z   test_quick_cumsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1210145Z   test_quick_cumsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1210310Z   test_quick_cumsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1210439Z   test_quick_cumsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1210594Z   test_quick_cumsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1210707Z   test_quick_cumsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1210833Z   test_quick_cumsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1210960Z   test_quick_cumsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1211085Z   test_quick_cumsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1211265Z   test_quick_diag_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: diag in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1211434Z   test_quick_diag_cpu_bool (__main__.TestDecompCPU) ... skip: diag in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1211618Z   test_quick_diag_cpu_complex128 (__main__.TestDecompCPU) ... skip: diag in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1211799Z   test_quick_diag_cpu_complex64 (__main__.TestDecompCPU) ... skip: diag in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1211972Z   test_quick_diag_cpu_float16 (__main__.TestDecompCPU) ... skip: diag in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1212131Z   test_quick_diag_cpu_float32 (__main__.TestDecompCPU) ... skip: diag in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1212298Z   test_quick_diag_cpu_float64 (__main__.TestDecompCPU) ... skip: diag in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1212465Z   test_quick_diag_cpu_int16 (__main__.TestDecompCPU) ... skip: diag in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1212628Z   test_quick_diag_cpu_int32 (__main__.TestDecompCPU) ... skip: diag in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1212791Z   test_quick_diag_cpu_int64 (__main__.TestDecompCPU) ... skip: diag in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1212960Z   test_quick_diag_cpu_int8 (__main__.TestDecompCPU) ... skip: diag in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1213128Z   test_quick_diag_cpu_uint8 (__main__.TestDecompCPU) ... skip: diag in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1213265Z   test_quick_diag_embed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1213396Z   test_quick_diag_embed_cpu_bool (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1213523Z   test_quick_diag_embed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.092s)
2023-01-11T21:35:33.1213661Z   test_quick_diag_embed_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.1213798Z   test_quick_diag_embed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.1213932Z   test_quick_diag_embed_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1214067Z   test_quick_diag_embed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1214203Z   test_quick_diag_embed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.1214337Z   test_quick_diag_embed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1214466Z   test_quick_diag_embed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1214582Z   test_quick_diag_embed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1214712Z   test_quick_diag_embed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1214841Z   test_quick_diag_embed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1214982Z   test_quick_diagonal_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1215117Z   test_quick_diagonal_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1215261Z   test_quick_diagonal_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.088s)
2023-01-11T21:35:33.1215434Z   test_quick_diagonal_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.1215576Z   test_quick_diagonal_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.1215732Z   test_quick_diagonal_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1215872Z   test_quick_diagonal_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1216010Z   test_quick_diagonal_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1216146Z   test_quick_diagonal_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1216282Z   test_quick_diagonal_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1216415Z   test_quick_diagonal_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1216551Z   test_quick_diagonal_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1216684Z   test_quick_diagonal_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1216808Z   test_quick_diagonal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1216939Z   test_quick_diagonal_cpu_bool (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1217076Z   test_quick_diagonal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1217212Z   test_quick_diagonal_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.1217346Z   test_quick_diagonal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.1217478Z   test_quick_diagonal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1217610Z   test_quick_diagonal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.1217740Z   test_quick_diagonal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.1217858Z   test_quick_diagonal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1217989Z   test_quick_diagonal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1218117Z   test_quick_diagonal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1218248Z   test_quick_diagonal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1218378Z   test_quick_diagonal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1218522Z   test_quick_diagonal_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1218660Z   test_quick_diagonal_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1218808Z   test_quick_diagonal_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.392s)
2023-01-11T21:35:33.1218942Z   test_quick_diagonal_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.398s)
2023-01-11T21:35:33.1219084Z   test_quick_diagonal_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1219222Z   test_quick_diagonal_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.213s)
2023-01-11T21:35:33.1219360Z   test_quick_diagonal_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.209s)
2023-01-11T21:35:33.1219501Z   test_quick_diagonal_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.1219643Z   test_quick_diagonal_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.1219780Z   test_quick_diagonal_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.1219919Z   test_quick_diagonal_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.1220043Z   test_quick_diagonal_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.1220179Z   test_quick_digamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1220309Z   test_quick_digamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1220440Z   test_quick_digamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1220610Z   test_quick_digamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1220739Z   test_quick_digamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1220896Z   test_quick_digamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1221024Z   test_quick_digamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1221141Z   test_quick_digamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1221268Z   test_quick_digamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1221415Z   test_quick_div_floor_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1221558Z   test_quick_div_floor_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1221699Z   test_quick_div_floor_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.1221835Z   test_quick_div_floor_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.1221978Z   test_quick_div_floor_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1222114Z   test_quick_div_floor_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1222240Z   test_quick_div_floor_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1222381Z   test_quick_div_floor_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1222520Z   test_quick_div_floor_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1222667Z   test_quick_div_no_rounding_mode_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1222809Z   test_quick_div_no_rounding_mode_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1222957Z   test_quick_div_no_rounding_mode_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1223104Z   test_quick_div_no_rounding_mode_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.1223249Z   test_quick_div_no_rounding_mode_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1223394Z   test_quick_div_no_rounding_mode_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1223528Z   test_quick_div_no_rounding_mode_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1223671Z   test_quick_div_no_rounding_mode_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1223807Z   test_quick_div_no_rounding_mode_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1223948Z   test_quick_div_no_rounding_mode_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1224087Z   test_quick_div_no_rounding_mode_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1224226Z   test_quick_div_no_rounding_mode_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1224370Z   test_quick_div_trunc_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1224513Z   test_quick_div_trunc_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1224639Z   test_quick_div_trunc_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s)
2023-01-11T21:35:33.1224783Z   test_quick_div_trunc_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1224923Z   test_quick_div_trunc_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1225109Z   test_quick_div_trunc_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1225429Z   test_quick_div_trunc_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1225604Z   test_quick_div_trunc_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1225777Z   test_quick_div_trunc_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1225936Z   test_quick_dot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1226090Z   test_quick_dot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1226252Z   test_quick_dot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1226446Z   test_quick_dot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1226606Z   test_quick_dot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1226866Z   test_quick_dot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1227046Z   test_quick_dot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1245841Z   test_quick_dot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1246048Z   test_quick_dot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1246168Z   test_quick_dot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1246343Z   test_quick_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1246518Z   test_quick_empty_cpu_bool (__main__.TestDecompCPU) ... skip: empty in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1246697Z   test_quick_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1246871Z   test_quick_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty in torch.complex32 not supported (0.001s)
2023-01-11T21:35:33.1247050Z   test_quick_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1247226Z   test_quick_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: empty in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1247404Z   test_quick_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: empty in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1247579Z   test_quick_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: empty in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1247754Z   test_quick_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: empty in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1247909Z   test_quick_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: empty in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1248078Z   test_quick_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: empty in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1248246Z   test_quick_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: empty in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1248414Z   test_quick_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1248602Z   test_quick_empty_like_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty_like in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1248782Z   test_quick_empty_like_cpu_bool (__main__.TestDecompCPU) ... skip: empty_like in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1248976Z   test_quick_empty_like_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1249171Z   test_quick_empty_like_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex32 not supported (0.001s)
2023-01-11T21:35:33.1249364Z   test_quick_empty_like_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1249549Z   test_quick_empty_like_cpu_float16 (__main__.TestDecompCPU) ... skip: empty_like in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1249719Z   test_quick_empty_like_cpu_float32 (__main__.TestDecompCPU) ... skip: empty_like in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1249903Z   test_quick_empty_like_cpu_float64 (__main__.TestDecompCPU) ... skip: empty_like in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1250082Z   test_quick_empty_like_cpu_int16 (__main__.TestDecompCPU) ... skip: empty_like in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1250407Z   test_quick_empty_like_cpu_int32 (__main__.TestDecompCPU) ... skip: empty_like in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1250624Z   test_quick_empty_like_cpu_int64 (__main__.TestDecompCPU) ... skip: empty_like in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1250806Z   test_quick_empty_like_cpu_int8 (__main__.TestDecompCPU) ... skip: empty_like in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1250980Z   test_quick_empty_like_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty_like in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1251110Z   test_quick_eq_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1251236Z   test_quick_eq_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1251355Z   test_quick_eq_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.1251486Z   test_quick_eq_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.141s)
2023-01-11T21:35:33.1251614Z   test_quick_eq_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.138s)
2023-01-11T21:35:33.1251745Z   test_quick_eq_cpu_float16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1251871Z   test_quick_eq_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.1251995Z   test_quick_eq_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1252119Z   test_quick_eq_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1252239Z   test_quick_eq_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1252343Z   test_quick_eq_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1252467Z   test_quick_eq_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1252590Z   test_quick_eq_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1252719Z   test_quick_erf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1252839Z   test_quick_erf_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1252970Z   test_quick_erf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1253096Z   test_quick_erf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1253224Z   test_quick_erf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1253333Z   test_quick_erf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1253453Z   test_quick_erf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1253576Z   test_quick_erf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1253695Z   test_quick_erf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1253825Z   test_quick_erfc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1253949Z   test_quick_erfc_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1254076Z   test_quick_erfc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1254190Z   test_quick_erfc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1254320Z   test_quick_erfc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1254443Z   test_quick_erfc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1254567Z   test_quick_erfc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1254690Z   test_quick_erfc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1254812Z   test_quick_erfc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1254943Z   test_quick_erfinv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1255071Z   test_quick_erfinv_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1255189Z   test_quick_erfinv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1255320Z   test_quick_erfinv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1255449Z   test_quick_erfinv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1255615Z   test_quick_erfinv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1255743Z   test_quick_erfinv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1255905Z   test_quick_erfinv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1256036Z   test_quick_erfinv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1256166Z   test_quick_exp2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1256278Z   test_quick_exp2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1256403Z   test_quick_exp2_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1256529Z   test_quick_exp2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1256656Z   test_quick_exp2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1256782Z   test_quick_exp2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1256909Z   test_quick_exp2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1257030Z   test_quick_exp2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1257156Z   test_quick_exp2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1257264Z   test_quick_exp2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1257393Z   test_quick_exp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1257517Z   test_quick_exp_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1257650Z   test_quick_exp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1257781Z   test_quick_exp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1257907Z   test_quick_exp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1258033Z   test_quick_exp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1258157Z   test_quick_exp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1258266Z   test_quick_exp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1258386Z   test_quick_exp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1258510Z   test_quick_exp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1258630Z   test_quick_exp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1258764Z   test_quick_expand_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1258894Z   test_quick_expand_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1259030Z   test_quick_expand_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1259164Z   test_quick_expand_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1259281Z   test_quick_expand_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1259411Z   test_quick_expand_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1259545Z   test_quick_expand_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1259674Z   test_quick_expand_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1259803Z   test_quick_expand_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1259932Z   test_quick_expand_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1260059Z   test_quick_expand_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1260174Z   test_quick_expand_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1260306Z   test_quick_expm1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1260435Z   test_quick_expm1_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1260562Z   test_quick_expm1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1260692Z   test_quick_expm1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1260852Z   test_quick_expm1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1260975Z   test_quick_expm1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1261146Z   test_quick_expm1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1261261Z   test_quick_expm1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1261385Z   test_quick_expm1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1261509Z   test_quick_eye_cpu_bool (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1261638Z   test_quick_eye_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.065s)
2023-01-11T21:35:33.1261769Z   test_quick_eye_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1261897Z   test_quick_eye_cpu_float16 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1262020Z   test_quick_eye_cpu_float32 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1262144Z   test_quick_eye_cpu_float64 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.1262255Z   test_quick_eye_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1262376Z   test_quick_eye_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1262497Z   test_quick_eye_cpu_int64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1262619Z   test_quick_eye_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1262742Z   test_quick_eye_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1263111Z   test_quick_fft_fft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1263249Z   test_quick_fft_fft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1263384Z   test_quick_fft_fft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1263500Z   test_quick_fft_fft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.1263634Z   test_quick_fft_fft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.101s)
2023-01-11T21:35:33.1263934Z   test_quick_fft_fft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1264233Z   test_quick_fft_fft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1264530Z   test_quick_fft_fft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1264827Z   test_quick_fft_fft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1265120Z   test_quick_fft_fft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1265413Z   test_quick_fft_fft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1265551Z   test_quick_fft_fft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1265673Z   test_quick_fft_fft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1265804Z   test_quick_fft_fft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1265935Z   test_quick_fft_fft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1266228Z   test_quick_fft_fft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1266514Z   test_quick_fft_fft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1266796Z   test_quick_fft_fft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1267087Z   test_quick_fft_fft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1267451Z   test_quick_fft_fft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1267741Z   test_quick_fft_fftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1267879Z   test_quick_fft_fftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1268003Z   test_quick_fft_fftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1268136Z   test_quick_fft_fftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.1268268Z   test_quick_fft_fftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.117s)
2023-01-11T21:35:33.1268561Z   test_quick_fft_fftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1268855Z   test_quick_fft_fftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1269149Z   test_quick_fft_fftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1269441Z   test_quick_fft_fftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1269732Z   test_quick_fft_fftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1270021Z   test_quick_fft_hfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1270147Z   test_quick_fft_hfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.167s)
2023-01-11T21:35:33.1270285Z   test_quick_fft_hfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.168s)
2023-01-11T21:35:33.1270421Z   test_quick_fft_hfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.197s)
2023-01-11T21:35:33.1270553Z   test_quick_fft_hfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.195s)
2023-01-11T21:35:33.1270852Z   test_quick_fft_hfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1271147Z   test_quick_fft_hfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1271442Z   test_quick_fft_hfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1271735Z   test_quick_fft_hfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1272028Z   test_quick_fft_hfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1272322Z   test_quick_fft_hfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1272448Z   test_quick_fft_hfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.146s)
2023-01-11T21:35:33.1272586Z   test_quick_fft_hfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.1272719Z   test_quick_fft_hfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.160s)
2023-01-11T21:35:33.1272853Z   test_quick_fft_hfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.158s)
2023-01-11T21:35:33.1273145Z   test_quick_fft_hfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1273438Z   test_quick_fft_hfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1273818Z   test_quick_fft_hfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1274157Z   test_quick_fft_hfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1274478Z   test_quick_fft_hfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1274758Z   test_quick_fft_hfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1274898Z   test_quick_fft_hfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.192s)
2023-01-11T21:35:33.1275035Z   test_quick_fft_hfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.195s)
2023-01-11T21:35:33.1275170Z   test_quick_fft_hfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.217s)
2023-01-11T21:35:33.1275304Z   test_quick_fft_hfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.214s)
2023-01-11T21:35:33.1275600Z   test_quick_fft_hfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1275897Z   test_quick_fft_hfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1276191Z   test_quick_fft_hfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1276482Z   test_quick_fft_hfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1276762Z   test_quick_fft_hfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1277054Z   test_quick_fft_ifft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1277194Z   test_quick_fft_ifft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.1277333Z   test_quick_fft_ifft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1277464Z   test_quick_fft_ifft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.1277597Z   test_quick_fft_ifft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.101s)
2023-01-11T21:35:33.1277891Z   test_quick_fft_ifft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1278181Z   test_quick_fft_ifft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1278470Z   test_quick_fft_ifft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1278751Z   test_quick_fft_ifft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1279044Z   test_quick_fft_ifft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1279338Z   test_quick_fft_ifft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1279474Z   test_quick_fft_ifft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1279610Z   test_quick_fft_ifft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1279742Z   test_quick_fft_ifft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1279874Z   test_quick_fft_ifft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1280166Z   test_quick_fft_ifft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1280454Z   test_quick_fft_ifft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1280767Z   test_quick_fft_ifft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1281089Z   test_quick_fft_ifft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1281387Z   test_quick_fft_ifft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1281683Z   test_quick_fft_ifftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1281822Z   test_quick_fft_ifftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1281959Z   test_quick_fft_ifftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1282093Z   test_quick_fft_ifftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.1282230Z   test_quick_fft_ifftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.1282526Z   test_quick_fft_ifftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1282821Z   test_quick_fft_ifftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1283100Z   test_quick_fft_ifftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1283516Z   test_quick_fft_ifftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1283810Z   test_quick_fft_ifftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1284102Z   test_quick_fft_ihfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1284242Z   test_quick_fft_ihfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1284379Z   test_quick_fft_ihfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1284675Z   test_quick_fft_ihfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1284969Z   test_quick_fft_ihfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1285265Z   test_quick_fft_ihfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1285560Z   test_quick_fft_ihfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1285842Z   test_quick_fft_ihfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1286139Z   test_quick_fft_ihfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1286276Z   test_quick_fft_ihfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1286410Z   test_quick_fft_ihfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1286703Z   test_quick_fft_ihfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1286997Z   test_quick_fft_ihfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1287288Z   test_quick_fft_ihfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1287580Z   test_quick_fft_ihfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1287925Z   test_quick_fft_ihfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1288260Z   test_quick_fft_ihfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1288401Z   test_quick_fft_ihfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1288536Z   test_quick_fft_ihfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1288834Z   test_quick_fft_ihfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1289130Z   test_quick_fft_ihfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1289424Z   test_quick_fft_ihfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1289719Z   test_quick_fft_ihfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1290012Z   test_quick_fft_ihfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1290307Z   test_quick_fft_irfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1290448Z   test_quick_fft_irfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.1290574Z   test_quick_fft_irfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1290706Z   test_quick_fft_irfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.1290838Z   test_quick_fft_irfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.101s)
2023-01-11T21:35:33.1291134Z   test_quick_fft_irfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1291428Z   test_quick_fft_irfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1291721Z   test_quick_fft_irfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1292012Z   test_quick_fft_irfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1292301Z   test_quick_fft_irfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1292598Z   test_quick_fft_irfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1292724Z   test_quick_fft_irfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1292864Z   test_quick_fft_irfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1292999Z   test_quick_fft_irfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.086s)
2023-01-11T21:35:33.1293132Z   test_quick_fft_irfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1293424Z   test_quick_fft_irfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1293715Z   test_quick_fft_irfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1294008Z   test_quick_fft_irfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1294299Z   test_quick_fft_irfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1294623Z   test_quick_fft_irfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1294944Z   test_quick_fft_irfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1295075Z   test_quick_fft_irfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.1295213Z   test_quick_fft_irfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1295348Z   test_quick_fft_irfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.117s)
2023-01-11T21:35:33.1295483Z   test_quick_fft_irfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.1295777Z   test_quick_fft_irfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1296069Z   test_quick_fft_irfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1296364Z   test_quick_fft_irfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1296661Z   test_quick_fft_irfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1296959Z   test_quick_fft_irfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1297241Z   test_quick_fft_rfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1297375Z   test_quick_fft_rfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1297508Z   test_quick_fft_rfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1297796Z   test_quick_fft_rfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1298091Z   test_quick_fft_rfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1298383Z   test_quick_fft_rfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1298674Z   test_quick_fft_rfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1298965Z   test_quick_fft_rfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1299253Z   test_quick_fft_rfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1299372Z   test_quick_fft_rfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1299510Z   test_quick_fft_rfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1299803Z   test_quick_fft_rfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1300093Z   test_quick_fft_rfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1300384Z   test_quick_fft_rfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1300676Z   test_quick_fft_rfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1300968Z   test_quick_fft_rfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1301258Z   test_quick_fft_rfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1301429Z   test_quick_fft_rfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1301593Z   test_quick_fft_rfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1301874Z   test_quick_fft_rfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1302167Z   test_quick_fft_rfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1302457Z   test_quick_fft_rfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1302747Z   test_quick_fft_rfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1303038Z   test_quick_fft_rfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1303176Z   test_quick_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1303305Z   test_quick_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1303438Z   test_quick_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1303572Z   test_quick_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1303690Z   test_quick_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1303820Z   test_quick_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1303947Z   test_quick_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1304076Z   test_quick_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1304201Z   test_quick_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1304324Z   test_quick_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1304450Z   test_quick_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1304574Z   test_quick_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1304683Z   test_quick_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1304813Z   test_quick_flip_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1304939Z   test_quick_flip_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1305073Z   test_quick_flip_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1305204Z   test_quick_flip_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.1305334Z   test_quick_flip_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1305461Z   test_quick_flip_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1305590Z   test_quick_flip_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1305704Z   test_quick_flip_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1305828Z   test_quick_flip_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1305952Z   test_quick_flip_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1306075Z   test_quick_flip_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1306200Z   test_quick_flip_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1306331Z   test_quick_floor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1306460Z   test_quick_floor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1306575Z   test_quick_floor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1306701Z   test_quick_floor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1306825Z   test_quick_floor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1306982Z   test_quick_floor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1307107Z   test_quick_floor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1307271Z   test_quick_floor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1307413Z   test_quick_floor_divide_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1307553Z   test_quick_floor_divide_cpu_float16 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1307676Z   test_quick_floor_divide_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.1307814Z   test_quick_floor_divide_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.1307952Z   test_quick_floor_divide_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1308085Z   test_quick_floor_divide_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1308217Z   test_quick_floor_divide_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1308353Z   test_quick_floor_divide_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s)
2023-01-11T21:35:33.1308483Z   test_quick_floor_divide_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1308615Z   test_quick_fmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1308728Z   test_quick_fmax_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1308859Z   test_quick_fmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1308987Z   test_quick_fmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1309114Z   test_quick_fmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1309240Z   test_quick_fmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1309366Z   test_quick_fmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1309487Z   test_quick_fmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1309611Z   test_quick_fmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1309720Z   test_quick_fmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1309850Z   test_quick_fmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1309975Z   test_quick_fmin_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1310103Z   test_quick_fmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1310229Z   test_quick_fmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1310355Z   test_quick_fmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1310477Z   test_quick_fmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1310598Z   test_quick_fmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1310703Z   test_quick_fmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1310830Z   test_quick_fmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1310951Z   test_quick_fmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1311081Z   test_quick_fmod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1311212Z   test_quick_fmod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1311339Z   test_quick_fmod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s)
2023-01-11T21:35:33.1311465Z   test_quick_fmod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1311592Z   test_quick_fmod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1311702Z   test_quick_fmod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1311823Z   test_quick_fmod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1311947Z   test_quick_fmod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1312069Z   test_quick_fmod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1312231Z   test_quick_frac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1312360Z   test_quick_frac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1312515Z   test_quick_frac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1312629Z   test_quick_frac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1312756Z   test_quick_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1312880Z   test_quick_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1313012Z   test_quick_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1313145Z   test_quick_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1313275Z   test_quick_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1313404Z   test_quick_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1313533Z   test_quick_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1313720Z   test_quick_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1313854Z   test_quick_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1313977Z   test_quick_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1314099Z   test_quick_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1314224Z   test_quick_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1314346Z   test_quick_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1314469Z   test_quick_gcd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1314590Z   test_quick_gcd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1314694Z   test_quick_gcd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1314821Z   test_quick_gcd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1314942Z   test_quick_gcd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1315069Z   test_quick_ge_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1315194Z   test_quick_ge_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1315322Z   test_quick_ge_cpu_float16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1315448Z   test_quick_ge_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1315571Z   test_quick_ge_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1315680Z   test_quick_ge_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1315801Z   test_quick_ge_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1315920Z   test_quick_ge_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1316042Z   test_quick_ge_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1316170Z   test_quick_ge_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1316314Z   test_quick_grid_sampler_2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.740s)
2023-01-11T21:35:33.1316460Z   test_quick_grid_sampler_2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.718s)
2023-01-11T21:35:33.1316588Z   test_quick_gt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1316696Z   test_quick_gt_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1316820Z   test_quick_gt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1316942Z   test_quick_gt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1317062Z   test_quick_gt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1317182Z   test_quick_gt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1317299Z   test_quick_gt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1317451Z   test_quick_gt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1317558Z   test_quick_gt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1317679Z   test_quick_gt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1317857Z   test_quick_heaviside_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1317993Z   test_quick_heaviside_cpu_bool (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.1318129Z   test_quick_heaviside_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1318263Z   test_quick_heaviside_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s)
2023-01-11T21:35:33.1318394Z   test_quick_heaviside_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s)
2023-01-11T21:35:33.1318527Z   test_quick_heaviside_cpu_int16 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1318645Z   test_quick_heaviside_cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1318779Z   test_quick_heaviside_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1318909Z   test_quick_heaviside_cpu_int8 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1319041Z   test_quick_heaviside_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1319170Z   test_quick_hypot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1319301Z   test_quick_hypot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1319432Z   test_quick_hypot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1319562Z   test_quick_igamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1319681Z   test_quick_igamma_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1319811Z   test_quick_igamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1319944Z   test_quick_igamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1320081Z   test_quick_igammac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1320212Z   test_quick_igammac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1320345Z   test_quick_igammac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1320476Z   test_quick_igammac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1320613Z   test_quick_index_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1320730Z   test_quick_index_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1320871Z   test_quick_index_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1321009Z   test_quick_index_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1321146Z   test_quick_index_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.052s)
2023-01-11T21:35:33.1321278Z   test_quick_index_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1321414Z   test_quick_index_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1321545Z   test_quick_index_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1321676Z   test_quick_index_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1321792Z   test_quick_index_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1321922Z   test_quick_index_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1322052Z   test_quick_index_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1322180Z   test_quick_index_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1322317Z   test_quick_index_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1322448Z   test_quick_index_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1322589Z   test_quick_index_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1322760Z   test_quick_index_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1322884Z   test_quick_index_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1323049Z   test_quick_index_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1323184Z   test_quick_index_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1323317Z   test_quick_index_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1323653Z   test_quick_index_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1323785Z   test_quick_index_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1323916Z   test_quick_index_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1324048Z   test_quick_index_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1324170Z   test_quick_index_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1324302Z   test_quick_index_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1324441Z   test_quick_index_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1324582Z   test_quick_index_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1324714Z   test_quick_index_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1324849Z   test_quick_index_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1324981Z   test_quick_index_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1325116Z   test_quick_index_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1325232Z   test_quick_index_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1325361Z   test_quick_index_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1325493Z   test_quick_index_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1325622Z   test_quick_index_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1325764Z   test_quick_index_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1325899Z   test_quick_index_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1326043Z   test_quick_index_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1326183Z   test_quick_index_select_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1326311Z   test_quick_index_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1326449Z   test_quick_index_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1326586Z   test_quick_index_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1326723Z   test_quick_index_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1326859Z   test_quick_index_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1326992Z   test_quick_index_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1327125Z   test_quick_index_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1327257Z   test_quick_index_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1327374Z   test_quick_index_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1327505Z   test_quick_isinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1327633Z   test_quick_isinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1327764Z   test_quick_isinf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1327896Z   test_quick_isinf_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1328026Z   test_quick_isinf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1328205Z   test_quick_isinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1328334Z   test_quick_isinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1328528Z   test_quick_isinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1328658Z   test_quick_isinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1328783Z   test_quick_isinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1328906Z   test_quick_isinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1329035Z   test_quick_isinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1329158Z   test_quick_isinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1329289Z   test_quick_isnan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1329417Z   test_quick_isnan_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1329539Z   test_quick_isnan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1329671Z   test_quick_isnan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1329802Z   test_quick_isnan_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1329932Z   test_quick_isnan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1330059Z   test_quick_isnan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1330187Z   test_quick_isnan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1330313Z   test_quick_isnan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1330437Z   test_quick_isnan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1330550Z   test_quick_isnan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1330673Z   test_quick_isnan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1330811Z   test_quick_isneginf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1330942Z   test_quick_isneginf_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1331081Z   test_quick_isneginf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1331214Z   test_quick_isneginf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1331344Z   test_quick_isneginf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1331473Z   test_quick_isneginf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1331589Z   test_quick_isneginf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1331720Z   test_quick_isneginf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1331851Z   test_quick_isneginf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1331981Z   test_quick_isneginf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1332117Z   test_quick_isposinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1332246Z   test_quick_isposinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1332381Z   test_quick_isposinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1332512Z   test_quick_isposinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1332626Z   test_quick_isposinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1332756Z   test_quick_isposinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1332885Z   test_quick_isposinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1333013Z   test_quick_isposinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1333141Z   test_quick_isposinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1333270Z   test_quick_isposinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1333429Z   test_quick_lcm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1333537Z   test_quick_lcm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1333686Z   test_quick_lcm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1333812Z   test_quick_lcm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1333936Z   test_quick_lcm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1334063Z   test_quick_le_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1334186Z   test_quick_le_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1334313Z   test_quick_le_cpu_float16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1334436Z   test_quick_le_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1334545Z   test_quick_le_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1334668Z   test_quick_le_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1334789Z   test_quick_le_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1334909Z   test_quick_le_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1335032Z   test_quick_le_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1335155Z   test_quick_le_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1335283Z   test_quick_lerp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1335416Z   test_quick_lerp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.188s)
2023-01-11T21:35:33.1335535Z   test_quick_lerp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.195s)
2023-01-11T21:35:33.1335664Z   test_quick_lerp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s)
2023-01-11T21:35:33.1335792Z   test_quick_lerp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1335923Z   test_quick_lgamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1336054Z   test_quick_lgamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1336184Z   test_quick_lgamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1336315Z   test_quick_lgamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1336443Z   test_quick_lgamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1336558Z   test_quick_lgamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1336686Z   test_quick_lgamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1336813Z   test_quick_lgamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1336940Z   test_quick_lgamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1337088Z   test_quick_linalg_vector_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.138s)
2023-01-11T21:35:33.1337238Z   test_quick_linalg_vector_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.585s)
2023-01-11T21:35:33.1337389Z   test_quick_linalg_vector_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.607s)
2023-01-11T21:35:33.1337536Z   test_quick_linalg_vector_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (0.154s)
2023-01-11T21:35:33.1337666Z   test_quick_linalg_vector_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.394s)
2023-01-11T21:35:33.1337804Z   test_quick_linalg_vector_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.382s)
2023-01-11T21:35:33.1337940Z   test_quick_linspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1338077Z   test_quick_linspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1338212Z   test_quick_linspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1338346Z   test_quick_linspace_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1338479Z   test_quick_linspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1338642Z   test_quick_linspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1338759Z   test_quick_linspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1338919Z   test_quick_linspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1339053Z   test_quick_linspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1339184Z   test_quick_linspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1339314Z   test_quick_linspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1339441Z   test_quick_log10_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1339569Z   test_quick_log10_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1339702Z   test_quick_log10_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1339819Z   test_quick_log10_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1339950Z   test_quick_log10_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1340081Z   test_quick_log10_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1340208Z   test_quick_log10_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1340330Z   test_quick_log10_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1340450Z   test_quick_log10_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1340577Z   test_quick_log10_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1340697Z   test_quick_log10_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1340813Z   test_quick_log1p_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1340939Z   test_quick_log1p_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1341072Z   test_quick_log1p_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1341204Z   test_quick_log1p_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1341335Z   test_quick_log1p_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1341465Z   test_quick_log1p_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1341593Z   test_quick_log1p_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1341716Z   test_quick_log1p_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1341823Z   test_quick_log1p_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1341949Z   test_quick_log1p_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1342071Z   test_quick_log1p_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1342200Z   test_quick_log2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1342326Z   test_quick_log2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1342457Z   test_quick_log2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1342589Z   test_quick_log2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1342703Z   test_quick_log2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1342832Z   test_quick_log2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1342956Z   test_quick_log2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1343084Z   test_quick_log2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1343203Z   test_quick_log2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1343327Z   test_quick_log2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1343448Z   test_quick_log2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1343576Z   test_quick_log_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1343688Z   test_quick_log_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1343848Z   test_quick_log_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1343978Z   test_quick_log_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1344146Z   test_quick_log_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1344273Z   test_quick_log_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1344397Z   test_quick_log_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1344519Z   test_quick_log_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1344638Z   test_quick_log_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1344747Z   test_quick_log_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1344867Z   test_quick_log_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1345005Z   test_quick_log_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1345142Z   test_quick_log_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1345281Z   test_quick_log_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1345421Z   test_quick_logical_and_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1345556Z   test_quick_logical_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1345697Z   test_quick_logical_and_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.127s)
2023-01-11T21:35:33.1345825Z   test_quick_logical_and_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.129s)
2023-01-11T21:35:33.1345961Z   test_quick_logical_and_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1346094Z   test_quick_logical_and_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1346227Z   test_quick_logical_and_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1346360Z   test_quick_logical_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1346496Z   test_quick_logical_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1346626Z   test_quick_logical_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1346759Z   test_quick_logical_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1346875Z   test_quick_logical_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1347012Z   test_quick_logical_not_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1347145Z   test_quick_logical_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1347286Z   test_quick_logical_not_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1347428Z   test_quick_logical_not_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1347565Z   test_quick_logical_not_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1347700Z   test_quick_logical_not_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1347835Z   test_quick_logical_not_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1347953Z   test_quick_logical_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1348088Z   test_quick_logical_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1348219Z   test_quick_logical_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1348351Z   test_quick_logical_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1348479Z   test_quick_logical_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1348614Z   test_quick_logical_or_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1348746Z   test_quick_logical_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1348885Z   test_quick_logical_or_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.1349046Z   test_quick_logical_or_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1349182Z   test_quick_logical_or_cpu_float16 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1349343Z   test_quick_logical_or_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1349480Z   test_quick_logical_or_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1349612Z   test_quick_logical_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1349742Z   test_quick_logical_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1349871Z   test_quick_logical_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1350003Z   test_quick_logical_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1350119Z   test_quick_logical_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1350258Z   test_quick_logical_xor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1350393Z   test_quick_logical_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1350535Z   test_quick_logical_xor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.1350677Z   test_quick_logical_xor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1350813Z   test_quick_logical_xor_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1350948Z   test_quick_logical_xor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1351081Z   test_quick_logical_xor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1351199Z   test_quick_logical_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1351332Z   test_quick_logical_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1351462Z   test_quick_logical_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1351594Z   test_quick_logical_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1351725Z   test_quick_logical_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1351857Z   test_quick_logit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1351987Z   test_quick_logit_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1352116Z   test_quick_logit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s)
2023-01-11T21:35:33.1352232Z   test_quick_logit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s)
2023-01-11T21:35:33.1352359Z   test_quick_logit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1352484Z   test_quick_logit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1352609Z   test_quick_logit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1352734Z   test_quick_logit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1352857Z   test_quick_logit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1352994Z   test_quick_logspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.156s)
2023-01-11T21:35:33.1353133Z   test_quick_logspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.271s)
2023-01-11T21:35:33.1353259Z   test_quick_logspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.280s)
2023-01-11T21:35:33.1353393Z   test_quick_logspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.249s)
2023-01-11T21:35:33.1353525Z   test_quick_logspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.230s)
2023-01-11T21:35:33.1353740Z   test_quick_logspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.182s)
2023-01-11T21:35:33.1353876Z   test_quick_logspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.184s)
2023-01-11T21:35:33.1354007Z   test_quick_logspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.171s)
2023-01-11T21:35:33.1354139Z   test_quick_logspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1354268Z   test_quick_logspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1354430Z   test_quick_logsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1354563Z   test_quick_logsumexp_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1354728Z   test_quick_logsumexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1354865Z   test_quick_logsumexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1354996Z   test_quick_logsumexp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1355129Z   test_quick_logsumexp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1355260Z   test_quick_logsumexp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1355391Z   test_quick_logsumexp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1355505Z   test_quick_logsumexp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1355634Z   test_quick_lt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1355760Z   test_quick_lt_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1355889Z   test_quick_lt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1356014Z   test_quick_lt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1356137Z   test_quick_lt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1356259Z   test_quick_lt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1356380Z   test_quick_lt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1356484Z   test_quick_lt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1356605Z   test_quick_lt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1356728Z   test_quick_lt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1356865Z   test_quick_masked_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1357000Z   test_quick_masked_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1357141Z   test_quick_masked_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1357285Z   test_quick_masked_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1357425Z   test_quick_masked_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1357549Z   test_quick_masked_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1357683Z   test_quick_masked_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1357817Z   test_quick_masked_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1357950Z   test_quick_masked_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1358082Z   test_quick_masked_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1358211Z   test_quick_masked_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1358347Z   test_quick_masked_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1358476Z   test_quick_masked_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1358597Z   test_quick_maximum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1358727Z   test_quick_maximum_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1358858Z   test_quick_maximum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1358990Z   test_quick_maximum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1359120Z   test_quick_maximum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1359249Z   test_quick_maximum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1359376Z   test_quick_maximum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1359490Z   test_quick_maximum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1359650Z   test_quick_maximum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1359777Z   test_quick_maximum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1359939Z   test_quick_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1360072Z   test_quick_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1360204Z   test_quick_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1360332Z   test_quick_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1360459Z   test_quick_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1360573Z   test_quick_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1360780Z   test_quick_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1360980Z   test_quick_meshgrid_list_of_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1361189Z   test_quick_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1361394Z   test_quick_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1361594Z   test_quick_meshgrid_list_of_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1361787Z   test_quick_meshgrid_list_of_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1361972Z   test_quick_meshgrid_list_of_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1362163Z   test_quick_meshgrid_list_of_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1362358Z   test_quick_meshgrid_list_of_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1362538Z   test_quick_meshgrid_list_of_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1362731Z   test_quick_meshgrid_list_of_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1362919Z   test_quick_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1363125Z   test_quick_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1363320Z   test_quick_meshgrid_variadic_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1363634Z   test_quick_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1363848Z   test_quick_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1364048Z   test_quick_meshgrid_variadic_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1364250Z   test_quick_meshgrid_variadic_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1364448Z   test_quick_meshgrid_variadic_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1364646Z   test_quick_meshgrid_variadic_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1364879Z   test_quick_meshgrid_variadic_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1365102Z   test_quick_meshgrid_variadic_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1365297Z   test_quick_meshgrid_variadic_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1365491Z   test_quick_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1365626Z   test_quick_minimum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1365758Z   test_quick_minimum_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1365891Z   test_quick_minimum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1366022Z   test_quick_minimum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1366157Z   test_quick_minimum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1366273Z   test_quick_minimum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1366405Z   test_quick_minimum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1366534Z   test_quick_minimum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1366666Z   test_quick_minimum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1366793Z   test_quick_minimum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1366923Z   test_quick_mul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1367047Z   test_quick_mul_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1367179Z   test_quick_mul_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1367295Z   test_quick_mul_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.135s)
2023-01-11T21:35:33.1367424Z   test_quick_mul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.1367553Z   test_quick_mul_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1367679Z   test_quick_mul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1367802Z   test_quick_mul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1367927Z   test_quick_mul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1368049Z   test_quick_mul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1368153Z   test_quick_mul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1368276Z   test_quick_mul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1368394Z   test_quick_mul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1368520Z   test_quick_mv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1368650Z   test_quick_mv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1368781Z   test_quick_mv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1368908Z   test_quick_mv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1369035Z   test_quick_mv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1369145Z   test_quick_mv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1369265Z   test_quick_mv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1369381Z   test_quick_mv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1369503Z   test_quick_mv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1369625Z   test_quick_mv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1369778Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1369930Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1370112Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1370275Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1370418Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1370555Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1370699Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1370838Z   test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1370987Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1371135Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1371280Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1371412Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1371559Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1371698Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1371844Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1371983Z   test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1372131Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1372278Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1372424Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1372567Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1372695Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1372836Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1372979Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1373118Z   test_quick_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1373253Z   test_quick_nan_to_num_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1373384Z   test_quick_nan_to_num_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1373518Z   test_quick_nan_to_num_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1373652Z   test_quick_nan_to_num_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1373770Z   test_quick_nan_to_num_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1373903Z   test_quick_nan_to_num_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1374038Z   test_quick_nan_to_num_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1374167Z   test_quick_nan_to_num_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1374296Z   test_quick_nan_to_num_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1374426Z   test_quick_nan_to_num_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1374565Z   test_quick_narrow_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1374697Z   test_quick_narrow_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1374827Z   test_quick_narrow_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1374967Z   test_quick_narrow_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1375144Z   test_quick_narrow_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.070s)
2023-01-11T21:35:33.1375282Z   test_quick_narrow_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1375448Z   test_quick_narrow_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s)
2023-01-11T21:35:33.1375583Z   test_quick_narrow_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1375715Z   test_quick_narrow_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1375847Z   test_quick_narrow_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1375963Z   test_quick_narrow_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1376096Z   test_quick_narrow_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1376223Z   test_quick_narrow_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1376427Z   test_quick_native_batch_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: native_batch_norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1376633Z   test_quick_native_batch_norm_cpu_float32 (__main__.TestDecompCPU) ... skip: native_batch_norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1376836Z   test_quick_native_batch_norm_cpu_float64 (__main__.TestDecompCPU) ... skip: native_batch_norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1376993Z   test_quick_native_dropout_backward_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1377144Z   test_quick_native_dropout_backward_cpu_bool (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.1377297Z   test_quick_native_dropout_backward_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1377434Z   test_quick_native_dropout_backward_cpu_float32 (__main__.TestDecompCPU) ... ok (0.175s)
2023-01-11T21:35:33.1377584Z   test_quick_native_dropout_backward_cpu_float64 (__main__.TestDecompCPU) ... ok (0.177s)
2023-01-11T21:35:33.1377734Z   test_quick_native_dropout_backward_cpu_int16 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.1377885Z   test_quick_native_dropout_backward_cpu_int32 (__main__.TestDecompCPU) ... ok (0.140s)
2023-01-11T21:35:33.1378035Z   test_quick_native_dropout_backward_cpu_int64 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.1378187Z   test_quick_native_dropout_backward_cpu_int8 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.1378334Z   test_quick_native_dropout_backward_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.139s)
2023-01-11T21:35:33.1378478Z   test_quick_native_layer_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1378606Z   test_quick_native_layer_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.1378745Z   test_quick_native_layer_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.137s)
2023-01-11T21:35:33.1378874Z   test_quick_ne_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1379000Z   test_quick_ne_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1379132Z   test_quick_ne_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.126s)
2023-01-11T21:35:33.1379262Z   test_quick_ne_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.128s)
2023-01-11T21:35:33.1379392Z   test_quick_ne_cpu_float16 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1379517Z   test_quick_ne_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1379625Z   test_quick_ne_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1379748Z   test_quick_ne_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1379867Z   test_quick_ne_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1379984Z   test_quick_ne_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1380105Z   test_quick_ne_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1380232Z   test_quick_ne_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1380395Z   test_quick_neg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1380527Z   test_quick_neg_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1380690Z   test_quick_neg_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1380823Z   test_quick_neg_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1380951Z   test_quick_neg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1381075Z   test_quick_neg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1381198Z   test_quick_neg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1381324Z   test_quick_neg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1381445Z   test_quick_neg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1381564Z   test_quick_neg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1381675Z   test_quick_neg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1381796Z   test_quick_neg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1381986Z   test_quick_new_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: new_empty in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1382168Z   test_quick_new_empty_cpu_bool (__main__.TestDecompCPU) ... skip: new_empty in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1382362Z   test_quick_new_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1382553Z   test_quick_new_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex32 not supported (0.001s)
2023-01-11T21:35:33.1382743Z   test_quick_new_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1382927Z   test_quick_new_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: new_empty in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1383112Z   test_quick_new_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: new_empty in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1383283Z   test_quick_new_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: new_empty in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1383461Z   test_quick_new_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: new_empty in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1383632Z   test_quick_new_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: new_empty in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1383801Z   test_quick_new_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: new_empty in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1383975Z   test_quick_new_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: new_empty in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1384151Z   test_quick_new_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: new_empty in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1384352Z   test_quick_new_empty_strided_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1384549Z   test_quick_new_empty_strided_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1384752Z   test_quick_new_empty_strided_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1384953Z   test_quick_new_empty_strided_cpu_complex32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1385139Z   test_quick_new_empty_strided_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1385336Z   test_quick_new_empty_strided_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1385560Z   test_quick_new_empty_strided_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1385778Z   test_quick_new_empty_strided_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1385973Z   test_quick_new_empty_strided_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1386160Z   test_quick_new_empty_strided_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1386347Z   test_quick_new_empty_strided_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1386538Z   test_quick_new_empty_strided_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1386732Z   test_quick_new_empty_strided_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2023-01-11T21:35:33.1386869Z   test_quick_new_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1386989Z   test_quick_new_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1387127Z   test_quick_new_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1387264Z   test_quick_new_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1387399Z   test_quick_new_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1387531Z   test_quick_new_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1387663Z   test_quick_new_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1387793Z   test_quick_new_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1387923Z   test_quick_new_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1388041Z   test_quick_new_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1388170Z   test_quick_new_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1388300Z   test_quick_new_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1388430Z   test_quick_new_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1388562Z   test_quick_new_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1388688Z   test_quick_new_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1388824Z   test_quick_new_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1388960Z   test_quick_new_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1389083Z   test_quick_new_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1389214Z   test_quick_new_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1389348Z   test_quick_new_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1389476Z   test_quick_new_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1389608Z   test_quick_new_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1389736Z   test_quick_new_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1389865Z   test_quick_new_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1389993Z   test_quick_new_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1390106Z   test_quick_new_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1390242Z   test_quick_new_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1390371Z   test_quick_new_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1390508Z   test_quick_new_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1390678Z   test_quick_new_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1390815Z   test_quick_new_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1390976Z   test_quick_new_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1391097Z   test_quick_new_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1391228Z   test_quick_new_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1391358Z   test_quick_new_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1391487Z   test_quick_new_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1391615Z   test_quick_new_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1391743Z   test_quick_new_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1391873Z   test_quick_new_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1392011Z   test_quick_nextafter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1392131Z   test_quick_nextafter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1392265Z   test_quick_nextafter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1392431Z   test_quick_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.337s)
2023-01-11T21:35:33.1392590Z   test_quick_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.327s)
2023-01-11T21:35:33.1392768Z   test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1392944Z   test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestDecompCPU) ... ok (0.165s)
2023-01-11T21:35:33.1393120Z   test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestDecompCPU) ... ok (0.161s)
2023-01-11T21:35:33.1393267Z   test_quick_nn_functional_elu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1393410Z   test_quick_nn_functional_elu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1393535Z   test_quick_nn_functional_elu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1393775Z   test_quick_nn_functional_embedding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1393934Z   test_quick_nn_functional_embedding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1394085Z   test_quick_nn_functional_embedding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1394235Z   test_quick_nn_functional_embedding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1394382Z   test_quick_nn_functional_gelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1394527Z   test_quick_nn_functional_gelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.146s)
2023-01-11T21:35:33.1394670Z   test_quick_nn_functional_gelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.142s)
2023-01-11T21:35:33.1394797Z   test_quick_nn_functional_glu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1394940Z   test_quick_nn_functional_glu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.857s)
2023-01-11T21:35:33.1395080Z   test_quick_nn_functional_glu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.846s)
2023-01-11T21:35:33.1395236Z   test_quick_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1395390Z   test_quick_nn_functional_hardshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1395544Z   test_quick_nn_functional_hardshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1395700Z   test_quick_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1395900Z   test_quick_nn_functional_hardsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1396054Z   test_quick_nn_functional_hardsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1396222Z   test_quick_nn_functional_hardswish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1396375Z   test_quick_nn_functional_hardswish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1396523Z   test_quick_nn_functional_hardswish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s)
2023-01-11T21:35:33.1396673Z   test_quick_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1396822Z   test_quick_nn_functional_hardtanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1396971Z   test_quick_nn_functional_hardtanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1397119Z   test_quick_nn_functional_hardtanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1397270Z   test_quick_nn_functional_hardtanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1397403Z   test_quick_nn_functional_hardtanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1397553Z   test_quick_nn_functional_hardtanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1397703Z   test_quick_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1397853Z   test_quick_nn_functional_huber_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1398002Z   test_quick_nn_functional_huber_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.236s)
2023-01-11T21:35:33.1398147Z   test_quick_nn_functional_huber_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.229s)
2023-01-11T21:35:33.1398298Z   test_quick_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1398443Z   test_quick_nn_functional_leaky_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.160s)
2023-01-11T21:35:33.1398591Z   test_quick_nn_functional_leaky_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.158s)
2023-01-11T21:35:33.1398735Z   test_quick_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1398882Z   test_quick_nn_functional_logsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1399029Z   test_quick_nn_functional_logsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1399174Z   test_quick_nn_functional_mish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1399319Z   test_quick_nn_functional_mish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1399461Z   test_quick_nn_functional_mish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1399843Z   test_quick_nn_functional_mse_loss_cpu_float16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1399994Z   test_quick_nn_functional_mse_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s)
2023-01-11T21:35:33.1400131Z   test_quick_nn_functional_mse_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s)
2023-01-11T21:35:33.1400288Z   test_quick_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1400439Z   test_quick_nn_functional_pad_constant_cpu_bool (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1400599Z   test_quick_nn_functional_pad_constant_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.340s)
2023-01-11T21:35:33.1400757Z   test_quick_nn_functional_pad_constant_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.346s)
2023-01-11T21:35:33.1400911Z   test_quick_nn_functional_pad_constant_cpu_float16 (__main__.TestDecompCPU) ... ok (0.032s)
2023-01-11T21:35:33.1401065Z   test_quick_nn_functional_pad_constant_cpu_float32 (__main__.TestDecompCPU) ... ok (0.206s)
2023-01-11T21:35:33.1401249Z   test_quick_nn_functional_pad_constant_cpu_float64 (__main__.TestDecompCPU) ... ok (0.201s)
2023-01-11T21:35:33.1401399Z   test_quick_nn_functional_pad_constant_cpu_int16 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1401566Z   test_quick_nn_functional_pad_constant_cpu_int32 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1401716Z   test_quick_nn_functional_pad_constant_cpu_int64 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1401864Z   test_quick_nn_functional_pad_constant_cpu_int8 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.1402015Z   test_quick_nn_functional_pad_constant_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.131s)
2023-01-11T21:35:33.1402161Z   test_quick_nn_functional_prelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1402306Z   test_quick_nn_functional_prelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.682s)
2023-01-11T21:35:33.1402447Z   test_quick_nn_functional_prelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.666s)
2023-01-11T21:35:33.1402664Z   test_quick_nn_functional_relu6_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1402876Z   test_quick_nn_functional_relu6_cpu_float32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1403070Z   test_quick_nn_functional_relu6_cpu_float64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1403273Z   test_quick_nn_functional_relu6_cpu_int16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1403714Z   test_quick_nn_functional_relu6_cpu_int32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1403914Z   test_quick_nn_functional_relu6_cpu_int64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1404117Z   test_quick_nn_functional_relu6_cpu_int8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1404319Z   test_quick_nn_functional_relu6_cpu_uint8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1404467Z   test_quick_nn_functional_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1404612Z   test_quick_nn_functional_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1404754Z   test_quick_nn_functional_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1404883Z   test_quick_nn_functional_relu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1405021Z   test_quick_nn_functional_relu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1405156Z   test_quick_nn_functional_relu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1405299Z   test_quick_nn_functional_relu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1405441Z   test_quick_nn_functional_relu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1405590Z   test_quick_nn_functional_rrelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1405736Z   test_quick_nn_functional_rrelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1405877Z   test_quick_nn_functional_rrelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1406017Z   test_quick_nn_functional_silu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1406146Z   test_quick_nn_functional_silu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1406285Z   test_quick_nn_functional_silu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1406438Z   test_quick_nn_functional_softplus_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1406645Z   test_quick_nn_functional_softplus_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1406798Z   test_quick_nn_functional_softplus_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1406988Z   test_quick_nn_functional_softshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1407143Z   test_quick_nn_functional_softshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1407294Z   test_quick_nn_functional_softshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1407430Z   test_quick_nn_functional_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.479s)
2023-01-11T21:35:33.1407581Z   test_quick_nn_functional_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.327s)
2023-01-11T21:35:33.1407730Z   test_quick_nn_functional_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.356s)
2023-01-11T21:35:33.1407877Z   test_quick_nn_functional_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (0.531s)
2023-01-11T21:35:33.1408025Z   test_quick_nn_functional_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (2.027s)
2023-01-11T21:35:33.1408173Z   test_quick_nn_functional_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (1.992s)
2023-01-11T21:35:33.1408351Z   test_quick_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1408534Z   test_quick_norm_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1408712Z   test_quick_norm_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1408872Z   test_quick_norm_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1409043Z   test_quick_norm_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1409210Z   test_quick_norm_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1409390Z   test_quick_norm_fro_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1409575Z   test_quick_norm_fro_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1409758Z   test_quick_norm_fro_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1409936Z   test_quick_norm_fro_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1410108Z   test_quick_norm_fro_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1410284Z   test_quick_norm_fro_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1410447Z   test_quick_norm_inf_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1410630Z   test_quick_norm_inf_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1410810Z   test_quick_norm_inf_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1410979Z   test_quick_norm_inf_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s)
2023-01-11T21:35:33.1411149Z   test_quick_norm_inf_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1411319Z   test_quick_norm_inf_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1411502Z   test_quick_norm_nuc_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s)
2023-01-11T21:35:33.1411681Z   test_quick_norm_nuc_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s)
2023-01-11T21:35:33.1411914Z   test_quick_norm_nuc_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1412116Z   test_quick_norm_nuc_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1412236Z   test_quick_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1412363Z   test_quick_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1412493Z   test_quick_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1412625Z   test_quick_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1412755Z   test_quick_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1412883Z   test_quick_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413010Z   test_quick_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413138Z   test_quick_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413252Z   test_quick_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413377Z   test_quick_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413494Z   test_quick_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1413617Z   test_quick_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413737Z   test_quick_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1413869Z   test_quick_permute_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1413997Z   test_quick_permute_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1414135Z   test_quick_permute_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1414258Z   test_quick_permute_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1414390Z   test_quick_permute_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1414519Z   test_quick_permute_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1414650Z   test_quick_permute_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1414780Z   test_quick_permute_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1414908Z   test_quick_permute_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1415034Z   test_quick_permute_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1415160Z   test_quick_permute_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1415277Z   test_quick_permute_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1415403Z   test_quick_permute_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1415530Z   test_quick_pow_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1415667Z   test_quick_pow_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.130s)
2023-01-11T21:35:33.1415795Z   test_quick_pow_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s)
2023-01-11T21:35:33.1415923Z   test_quick_pow_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1416046Z   test_quick_pow_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1416156Z   test_quick_pow_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1416281Z   test_quick_pow_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1416400Z   test_quick_pow_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1416518Z   test_quick_pow_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1416639Z   test_quick_pow_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1416758Z   test_quick_pow_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1416916Z   test_quick_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1417039Z   test_quick_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1417200Z   test_quick_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.311s)
2023-01-11T21:35:33.1417336Z   test_quick_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.319s)
2023-01-11T21:35:33.1417461Z   test_quick_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.181s)
2023-01-11T21:35:33.1417587Z   test_quick_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.178s)
2023-01-11T21:35:33.1417712Z   test_quick_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1417833Z   test_quick_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1417953Z   test_quick_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.117s)
2023-01-11T21:35:33.1418076Z   test_quick_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1418184Z   test_quick_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1418336Z   test_quick_randn_cpu_bfloat16 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1418490Z   test_quick_randn_cpu_complex128 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1418640Z   test_quick_randn_cpu_complex32 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1418789Z   test_quick_randn_cpu_complex64 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1418936Z   test_quick_randn_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1419077Z   test_quick_randn_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1419213Z   test_quick_randn_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.002s)
2023-01-11T21:35:33.1419339Z   test_quick_reciprocal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1419472Z   test_quick_reciprocal_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1419614Z   test_quick_reciprocal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1419752Z   test_quick_reciprocal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1419889Z   test_quick_reciprocal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1420024Z   test_quick_reciprocal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1420157Z   test_quick_reciprocal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1420289Z   test_quick_reciprocal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1420410Z   test_quick_reciprocal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1420541Z   test_quick_reciprocal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1420673Z   test_quick_reciprocal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1420806Z   test_quick_reciprocal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1420943Z   test_quick_remainder_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1421078Z   test_quick_remainder_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1421210Z   test_quick_remainder_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1421339Z   test_quick_remainder_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1421456Z   test_quick_remainder_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s)
2023-01-11T21:35:33.1421586Z   test_quick_remainder_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1421714Z   test_quick_remainder_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1421844Z   test_quick_remainder_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1421972Z   test_quick_remainder_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1422134Z   test_quick_repeat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1422261Z   test_quick_repeat_cpu_bool (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1422422Z   test_quick_repeat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1422546Z   test_quick_repeat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.1422677Z   test_quick_repeat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1422806Z   test_quick_repeat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s)
2023-01-11T21:35:33.1422933Z   test_quick_repeat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1423061Z   test_quick_repeat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1423186Z   test_quick_repeat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1423312Z   test_quick_repeat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1423440Z   test_quick_repeat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1423554Z   test_quick_repeat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.028s)
2023-01-11T21:35:33.1423684Z   test_quick_roll_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1423809Z   test_quick_roll_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1423938Z   test_quick_roll_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.117s)
2023-01-11T21:35:33.1424065Z   test_quick_roll_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.118s)
2023-01-11T21:35:33.1424195Z   test_quick_roll_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.119s)
2023-01-11T21:35:33.1424320Z   test_quick_roll_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1424445Z   test_quick_roll_cpu_float32 (__main__.TestDecompCPU) ... ok (0.069s)
2023-01-11T21:35:33.1424558Z   test_quick_roll_cpu_float64 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1424684Z   test_quick_roll_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1424808Z   test_quick_roll_cpu_int32 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1424926Z   test_quick_roll_cpu_int64 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1425051Z   test_quick_roll_cpu_int8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1425171Z   test_quick_roll_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s)
2023-01-11T21:35:33.1425298Z   test_quick_rot90_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1425422Z   test_quick_rot90_cpu_bool (__main__.TestDecompCPU) ... ok (0.168s)
2023-01-11T21:35:33.1425540Z   test_quick_rot90_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.463s)
2023-01-11T21:35:33.1425669Z   test_quick_rot90_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.469s)
2023-01-11T21:35:33.1425794Z   test_quick_rot90_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1425918Z   test_quick_rot90_cpu_float32 (__main__.TestDecompCPU) ... ok (0.263s)
2023-01-11T21:35:33.1426045Z   test_quick_rot90_cpu_float64 (__main__.TestDecompCPU) ... ok (0.259s)
2023-01-11T21:35:33.1426170Z   test_quick_rot90_cpu_int16 (__main__.TestDecompCPU) ... ok (0.168s)
2023-01-11T21:35:33.1426294Z   test_quick_rot90_cpu_int32 (__main__.TestDecompCPU) ... ok (0.168s)
2023-01-11T21:35:33.1426413Z   test_quick_rot90_cpu_int64 (__main__.TestDecompCPU) ... ok (0.166s)
2023-01-11T21:35:33.1426524Z   test_quick_rot90_cpu_int8 (__main__.TestDecompCPU) ... ok (0.167s)
2023-01-11T21:35:33.1426643Z   test_quick_rot90_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.166s)
2023-01-11T21:35:33.1426770Z   test_quick_rsqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1426894Z   test_quick_rsqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1427026Z   test_quick_rsqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1427155Z   test_quick_rsqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1427316Z   test_quick_rsqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1427430Z   test_quick_rsqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1427583Z   test_quick_rsqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1427710Z   test_quick_rsqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1427833Z   test_quick_rsqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1427959Z   test_quick_rsqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1428082Z   test_quick_rsqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1428211Z   test_quick_rsub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1428340Z   test_quick_rsub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.1428458Z   test_quick_rsub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.149s)
2023-01-11T21:35:33.1428588Z   test_quick_rsub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1428715Z   test_quick_rsub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.1428842Z   test_quick_rsub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.080s)
2023-01-11T21:35:33.1428966Z   test_quick_rsub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1429086Z   test_quick_rsub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1429205Z   test_quick_rsub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1429328Z   test_quick_rsub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1429434Z   test_quick_rsub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1429563Z   test_quick_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1429894Z   test_quick_select_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1430034Z   test_quick_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1430343Z   test_quick_select_cpu_complex32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1430479Z   test_quick_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1430610Z   test_quick_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1430739Z   test_quick_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1430856Z   test_quick_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1431153Z   test_quick_select_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1431439Z   test_quick_select_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1431724Z   test_quick_select_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1432010Z   test_quick_select_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1432292Z   test_quick_select_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s)
2023-01-11T21:35:33.1432420Z   test_quick_sgn_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1432548Z   test_quick_sgn_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1432679Z   test_quick_sgn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1432795Z   test_quick_sgn_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1432925Z   test_quick_sgn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1433084Z   test_quick_sgn_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1433207Z   test_quick_sgn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1433327Z   test_quick_sgn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1433480Z   test_quick_sgn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1433672Z   test_quick_sgn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1433797Z   test_quick_sgn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1433906Z   test_quick_sgn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1434027Z   test_quick_sgn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1434159Z   test_quick_sigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1434287Z   test_quick_sigmoid_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1434424Z   test_quick_sigmoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1434560Z   test_quick_sigmoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1434691Z   test_quick_sigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1434824Z   test_quick_sigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1434941Z   test_quick_sigmoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1435069Z   test_quick_sigmoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1435196Z   test_quick_sigmoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1435324Z   test_quick_sigmoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1435451Z   test_quick_sigmoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1435575Z   test_quick_sign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1435699Z   test_quick_sign_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1435828Z   test_quick_sign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1435941Z   test_quick_sign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1436071Z   test_quick_sign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1436197Z   test_quick_sign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1436319Z   test_quick_sign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1436438Z   test_quick_sign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1436561Z   test_quick_sign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1436682Z   test_quick_sign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1436813Z   test_quick_signbit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1436926Z   test_quick_signbit_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1437060Z   test_quick_signbit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1437189Z   test_quick_signbit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1437322Z   test_quick_signbit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1437450Z   test_quick_signbit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1437577Z   test_quick_signbit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1437703Z   test_quick_signbit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1437830Z   test_quick_signbit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1437944Z   test_quick_signbit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1438071Z   test_quick_sin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1438194Z   test_quick_sin_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1438362Z   test_quick_sin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1438490Z   test_quick_sin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1438645Z   test_quick_sin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1438769Z   test_quick_sin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1438892Z   test_quick_sin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1438999Z   test_quick_sin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1439117Z   test_quick_sin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1439238Z   test_quick_sin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1439356Z   test_quick_sin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1439481Z   test_quick_sinc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1439605Z   test_quick_sinc_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1439737Z   test_quick_sinc_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1439855Z   test_quick_sinc_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1439985Z   test_quick_sinc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1440110Z   test_quick_sinc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1440233Z   test_quick_sinc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1440355Z   test_quick_sinc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1440476Z   test_quick_sinc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1440597Z   test_quick_sinc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1440717Z   test_quick_sinc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1440832Z   test_quick_sinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1440958Z   test_quick_sinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1441086Z   test_quick_sinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1441218Z   test_quick_sinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1441345Z   test_quick_sinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1441471Z   test_quick_sinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1441595Z   test_quick_sinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1441716Z   test_quick_sinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1441822Z   test_quick_sinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1441946Z   test_quick_sinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1442065Z   test_quick_sinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1442197Z   test_quick_slice_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1442321Z   test_quick_slice_cpu_bool (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1442455Z   test_quick_slice_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.094s)
2023-01-11T21:35:33.1442584Z   test_quick_slice_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.098s)
2023-01-11T21:35:33.1442713Z   test_quick_slice_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.1442828Z   test_quick_slice_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1442955Z   test_quick_slice_cpu_float32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1443081Z   test_quick_slice_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1443205Z   test_quick_slice_cpu_int16 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1443328Z   test_quick_slice_cpu_int32 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1443551Z   test_quick_slice_cpu_int64 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1443729Z   test_quick_slice_cpu_int8 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1443850Z   test_quick_slice_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1444012Z   test_quick_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1444143Z   test_quick_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1444273Z   test_quick_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1444411Z   test_quick_special_entr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1444546Z   test_quick_special_entr_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1444683Z   test_quick_special_entr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1444820Z   test_quick_special_entr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1444956Z   test_quick_special_entr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1445078Z   test_quick_special_entr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1445210Z   test_quick_special_entr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1445342Z   test_quick_special_entr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1445471Z   test_quick_special_entr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1445607Z   test_quick_special_erfcx_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1445744Z   test_quick_special_erfcx_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1445881Z   test_quick_special_erfcx_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1446016Z   test_quick_special_erfcx_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1446137Z   test_quick_special_erfcx_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1446270Z   test_quick_special_erfcx_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1446403Z   test_quick_special_erfcx_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1446537Z   test_quick_special_erfcx_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1446675Z   test_quick_special_i0e_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1446807Z   test_quick_special_i0e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1446942Z   test_quick_special_i0e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1447075Z   test_quick_special_i0e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1447194Z   test_quick_special_i0e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1447324Z   test_quick_special_i0e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1447451Z   test_quick_special_i0e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1447584Z   test_quick_special_i0e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1447712Z   test_quick_special_i0e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1447845Z   test_quick_special_i1_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1447977Z   test_quick_special_i1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1448111Z   test_quick_special_i1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1448228Z   test_quick_special_i1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1448358Z   test_quick_special_i1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1448485Z   test_quick_special_i1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1448614Z   test_quick_special_i1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1448776Z   test_quick_special_i1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1448906Z   test_quick_special_i1e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1449067Z   test_quick_special_i1e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1449203Z   test_quick_special_i1e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1449320Z   test_quick_special_i1e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1449448Z   test_quick_special_i1e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1449574Z   test_quick_special_i1e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1449704Z   test_quick_special_i1e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1449830Z   test_quick_special_i1e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1449970Z   test_quick_special_log_ndtr_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1450114Z   test_quick_special_log_ndtr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1450252Z   test_quick_special_log_ndtr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1450382Z   test_quick_special_log_ndtr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1450521Z   test_quick_special_log_ndtr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1450660Z   test_quick_special_log_ndtr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1450794Z   test_quick_special_log_ndtr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1450929Z   test_quick_special_log_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1451127Z   test_quick_special_ndtr_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bfloat16 not supported (0.001s)
2023-01-11T21:35:33.1451315Z   test_quick_special_ndtr_cpu_bool (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bool not supported (0.001s)
2023-01-11T21:35:33.1451506Z   test_quick_special_ndtr_cpu_float32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float32 not supported (0.001s)
2023-01-11T21:35:33.1451687Z   test_quick_special_ndtr_cpu_float64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float64 not supported (0.001s)
2023-01-11T21:35:33.1451874Z   test_quick_special_ndtr_cpu_int16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int16 not supported (0.001s)
2023-01-11T21:35:33.1452058Z   test_quick_special_ndtr_cpu_int32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int32 not supported (0.001s)
2023-01-11T21:35:33.1452240Z   test_quick_special_ndtr_cpu_int64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int64 not supported (0.001s)
2023-01-11T21:35:33.1452421Z   test_quick_special_ndtr_cpu_int8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int8 not supported (0.001s)
2023-01-11T21:35:33.1452603Z   test_quick_special_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.uint8 not supported (0.001s)
2023-01-11T21:35:33.1452743Z   test_quick_special_ndtri_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1452886Z   test_quick_special_ndtri_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1453024Z   test_quick_special_ndtri_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1453159Z   test_quick_special_ndtri_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1453281Z   test_quick_special_ndtri_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1453412Z   test_quick_special_ndtri_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1453546Z   test_quick_special_ndtri_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1453675Z   test_quick_special_ndtri_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1453818Z   test_quick_special_xlog1py_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1453986Z   test_quick_special_xlog1py_cpu_bool (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1454128Z   test_quick_special_xlog1py_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1454313Z   test_quick_special_xlog1py_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s)
2023-01-11T21:35:33.1454443Z   test_quick_special_xlog1py_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1454581Z   test_quick_special_xlog1py_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1454718Z   test_quick_special_xlog1py_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1454853Z   test_quick_special_xlog1py_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1454990Z   test_quick_special_xlog1py_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1455126Z   test_quick_special_xlog1py_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1455260Z   test_quick_special_zeta_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1455395Z   test_quick_special_zeta_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1455520Z   test_quick_special_zeta_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s)
2023-01-11T21:35:33.1455654Z   test_quick_special_zeta_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1455789Z   test_quick_special_zeta_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1455921Z   test_quick_special_zeta_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1456053Z   test_quick_special_zeta_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1456183Z   test_quick_special_zeta_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1456313Z   test_quick_split_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1456440Z   test_quick_split_cpu_bool (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1456563Z   test_quick_split_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.054s)
2023-01-11T21:35:33.1456693Z   test_quick_split_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1456825Z   test_quick_split_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1456953Z   test_quick_split_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1457081Z   test_quick_split_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s)
2023-01-11T21:35:33.1457207Z   test_quick_split_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1457333Z   test_quick_split_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1457457Z   test_quick_split_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1457566Z   test_quick_split_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1457691Z   test_quick_split_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1457817Z   test_quick_split_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1457958Z   test_quick_split_list_args_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1458097Z   test_quick_split_list_args_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1458241Z   test_quick_split_list_args_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.1458385Z   test_quick_split_list_args_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.1458525Z   test_quick_split_list_args_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1458653Z   test_quick_split_list_args_cpu_float32 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1458791Z   test_quick_split_list_args_cpu_float64 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.1458926Z   test_quick_split_list_args_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1459095Z   test_quick_split_list_args_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1459230Z   test_quick_split_list_args_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1459396Z   test_quick_split_list_args_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1459531Z   test_quick_split_list_args_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1459672Z   test_quick_split_with_sizes_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1459796Z   test_quick_split_with_sizes_cpu_bool (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1459941Z   test_quick_split_with_sizes_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.164s)
2023-01-11T21:35:33.1460086Z   test_quick_split_with_sizes_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.165s)
2023-01-11T21:35:33.1460224Z   test_quick_split_with_sizes_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.164s)
2023-01-11T21:35:33.1460364Z   test_quick_split_with_sizes_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1460501Z   test_quick_split_with_sizes_cpu_float32 (__main__.TestDecompCPU) ... ok (0.090s)
2023-01-11T21:35:33.1460638Z   test_quick_split_with_sizes_cpu_float64 (__main__.TestDecompCPU) ... ok (0.089s)
2023-01-11T21:35:33.1460776Z   test_quick_split_with_sizes_cpu_int16 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1460901Z   test_quick_split_with_sizes_cpu_int32 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1461035Z   test_quick_split_with_sizes_cpu_int64 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1461170Z   test_quick_split_with_sizes_cpu_int8 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1461304Z   test_quick_split_with_sizes_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1461433Z   test_quick_sqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1461559Z   test_quick_sqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1461690Z   test_quick_sqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1461821Z   test_quick_sqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1461938Z   test_quick_sqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1462065Z   test_quick_sqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1462188Z   test_quick_sqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1462310Z   test_quick_sqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1462431Z   test_quick_sqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1462553Z   test_quick_sqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1462673Z   test_quick_sqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1462804Z   test_quick_squeeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1462921Z   test_quick_squeeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1463056Z   test_quick_squeeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.033s)
2023-01-11T21:35:33.1463193Z   test_quick_squeeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1463325Z   test_quick_squeeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.034s)
2023-01-11T21:35:33.1463454Z   test_quick_squeeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1463584Z   test_quick_squeeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s)
2023-01-11T21:35:33.1463714Z   test_quick_squeeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1463842Z   test_quick_squeeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1463957Z   test_quick_squeeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1464083Z   test_quick_squeeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1464246Z   test_quick_squeeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1464370Z   test_quick_squeeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1464530Z   test_quick_stack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1464658Z   test_quick_stack_cpu_bool (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1464790Z   test_quick_stack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1464922Z   test_quick_stack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1465040Z   test_quick_stack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1465166Z   test_quick_stack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1465292Z   test_quick_stack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1465419Z   test_quick_stack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1465550Z   test_quick_stack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1465673Z   test_quick_stack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1465798Z   test_quick_stack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1465911Z   test_quick_stack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1466036Z   test_quick_stack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1466165Z   test_quick_std_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1466297Z   test_quick_std_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.105s)
2023-01-11T21:35:33.1466424Z   test_quick_std_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.106s)
2023-01-11T21:35:33.1466550Z   test_quick_std_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1466674Z   test_quick_std_cpu_float32 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.1466795Z   test_quick_std_cpu_float64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1466919Z   test_quick_std_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1467055Z   test_quick_std_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.204s)
2023-01-11T21:35:33.1467190Z   test_quick_std_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.208s)
2023-01-11T21:35:33.1467322Z   test_quick_std_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1467452Z   test_quick_std_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.117s)
2023-01-11T21:35:33.1467581Z   test_quick_std_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.116s)
2023-01-11T21:35:33.1467725Z   test_quick_std_mean_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1467876Z   test_quick_std_mean_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1468012Z   test_quick_std_mean_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1468156Z   test_quick_std_mean_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1468293Z   test_quick_std_mean_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1468431Z   test_quick_std_mean_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1468573Z   test_quick_std_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1468714Z   test_quick_std_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1468855Z   test_quick_std_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1468992Z   test_quick_std_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1469130Z   test_quick_std_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1469254Z   test_quick_std_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1469417Z   test_quick_sub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1469546Z   test_quick_sub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.147s)
2023-01-11T21:35:33.1469679Z   test_quick_sub_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.153s)
2023-01-11T21:35:33.1469839Z   test_quick_sub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.150s)
2023-01-11T21:35:33.1469969Z   test_quick_sub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s)
2023-01-11T21:35:33.1470093Z   test_quick_sub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.084s)
2023-01-11T21:35:33.1470202Z   test_quick_sub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.082s)
2023-01-11T21:35:33.1470324Z   test_quick_sub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1470443Z   test_quick_sub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s)
2023-01-11T21:35:33.1470559Z   test_quick_sub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1470681Z   test_quick_sub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1470803Z   test_quick_sub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1470930Z   test_quick_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1471055Z   test_quick_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1471177Z   test_quick_sum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.063s)
2023-01-11T21:35:33.1471305Z   test_quick_sum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.1471431Z   test_quick_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1471555Z   test_quick_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1471677Z   test_quick_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s)
2023-01-11T21:35:33.1471801Z   test_quick_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1471921Z   test_quick_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1472041Z   test_quick_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1472150Z   test_quick_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1472270Z   test_quick_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s)
2023-01-11T21:35:33.1472397Z   test_quick_t_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1472517Z   test_quick_t_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1472645Z   test_quick_t_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1472771Z   test_quick_t_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1472890Z   test_quick_t_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1473008Z   test_quick_t_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1473113Z   test_quick_t_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1473234Z   test_quick_t_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1473356Z   test_quick_t_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1473474Z   test_quick_t_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1473700Z   test_quick_t_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1473827Z   test_quick_t_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1473955Z   test_quick_tan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1474077Z   test_quick_tan_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1474196Z   test_quick_tan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.037s)
2023-01-11T21:35:33.1474326Z   test_quick_tan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s)
2023-01-11T21:35:33.1474452Z   test_quick_tan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1474576Z   test_quick_tan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1474744Z   test_quick_tan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1474863Z   test_quick_tan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1475010Z   test_quick_tan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1475121Z   test_quick_tan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1475241Z   test_quick_tan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1475370Z   test_quick_tanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1475493Z   test_quick_tanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1475627Z   test_quick_tanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.110s)
2023-01-11T21:35:33.1475757Z   test_quick_tanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.111s)
2023-01-11T21:35:33.1475884Z   test_quick_tanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s)
2023-01-11T21:35:33.1476011Z   test_quick_tanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.056s)
2023-01-11T21:35:33.1476126Z   test_quick_tanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1476248Z   test_quick_tanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1476369Z   test_quick_tanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1476491Z   test_quick_tanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1476612Z   test_quick_tanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1476744Z   test_quick_trace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1476875Z   test_quick_trace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1477002Z   test_quick_trace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1477118Z   test_quick_trace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1477244Z   test_quick_trace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1477370Z   test_quick_trace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1477491Z   test_quick_trace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1477617Z   test_quick_trace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1477742Z   test_quick_trace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1477876Z   test_quick_transpose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1478008Z   test_quick_transpose_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1478133Z   test_quick_transpose_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1478271Z   test_quick_transpose_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1478409Z   test_quick_transpose_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1478542Z   test_quick_transpose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1478677Z   test_quick_transpose_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1478807Z   test_quick_transpose_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s)
2023-01-11T21:35:33.1478940Z   test_quick_transpose_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1479068Z   test_quick_transpose_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1479185Z   test_quick_transpose_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1479316Z   test_quick_transpose_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1479444Z   test_quick_transpose_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1479573Z   test_quick_tril_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1479698Z   test_quick_tril_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1479825Z   test_quick_tril_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.120s)
2023-01-11T21:35:33.1479986Z   test_quick_tril_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.122s)
2023-01-11T21:35:33.1480111Z   test_quick_tril_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1480255Z   test_quick_tril_cpu_float32 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1480382Z   test_quick_tril_cpu_float64 (__main__.TestDecompCPU) ... ok (0.066s)
2023-01-11T21:35:33.1480505Z   test_quick_tril_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1480625Z   test_quick_tril_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1480744Z   test_quick_tril_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1480867Z   test_quick_tril_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1480985Z   test_quick_tril_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1481119Z   test_quick_tril_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1481244Z   test_quick_tril_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1481370Z   test_quick_triu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1481495Z   test_quick_triu_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1481625Z   test_quick_triu_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.121s)
2023-01-11T21:35:33.1481754Z   test_quick_triu_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.123s)
2023-01-11T21:35:33.1481879Z   test_quick_triu_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1482006Z   test_quick_triu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.068s)
2023-01-11T21:35:33.1482118Z   test_quick_triu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.067s)
2023-01-11T21:35:33.1482242Z   test_quick_triu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1482362Z   test_quick_triu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1482483Z   test_quick_triu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1482605Z   test_quick_triu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s)
2023-01-11T21:35:33.1482727Z   test_quick_triu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s)
2023-01-11T21:35:33.1482860Z   test_quick_triu_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1482993Z   test_quick_triu_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1483109Z   test_quick_trunc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1483236Z   test_quick_trunc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s)
2023-01-11T21:35:33.1483495Z   test_quick_trunc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1483623Z   test_quick_trunc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1483749Z   test_quick_trunc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1483872Z   test_quick_trunc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1483996Z   test_quick_trunc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1484118Z   test_quick_trunc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1484236Z   test_quick_unbind_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1484365Z   test_quick_unbind_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1484522Z   test_quick_unbind_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.145s)
2023-01-11T21:35:33.1484657Z   test_quick_unbind_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.1484789Z   test_quick_unbind_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.152s)
2023-01-11T21:35:33.1484918Z   test_quick_unbind_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1485048Z   test_quick_unbind_cpu_float32 (__main__.TestDecompCPU) ... ok (0.085s)
2023-01-11T21:35:33.1485177Z   test_quick_unbind_cpu_float64 (__main__.TestDecompCPU) ... ok (0.083s)
2023-01-11T21:35:33.1485350Z   test_quick_unbind_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1485477Z   test_quick_unbind_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1485640Z   test_quick_unbind_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s)
2023-01-11T21:35:33.1485770Z   test_quick_unbind_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1485897Z   test_quick_unbind_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1486033Z   test_quick_unfold_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1486165Z   test_quick_unfold_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.340s)
2023-01-11T21:35:33.1486307Z   test_quick_unfold_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.945s)
2023-01-11T21:35:33.1486434Z   test_quick_unfold_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.951s)
2023-01-11T21:35:33.1486576Z   test_quick_unfold_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.956s)
2023-01-11T21:35:33.1486711Z   test_quick_unfold_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1486847Z   test_quick_unfold_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.512s)
2023-01-11T21:35:33.1486980Z   test_quick_unfold_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.508s)
2023-01-11T21:35:33.1487112Z   test_quick_unfold_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.336s)
2023-01-11T21:35:33.1487244Z   test_quick_unfold_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.338s)
2023-01-11T21:35:33.1487373Z   test_quick_unfold_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.336s)
2023-01-11T21:35:33.1487492Z   test_quick_unfold_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.337s)
2023-01-11T21:35:33.1487620Z   test_quick_unfold_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.336s)
2023-01-11T21:35:33.1487749Z   test_quick_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1487879Z   test_quick_unfold_cpu_bool (__main__.TestDecompCPU) ... ok (0.337s)
2023-01-11T21:35:33.1488012Z   test_quick_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.949s)
2023-01-11T21:35:33.1488147Z   test_quick_unfold_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.950s)
2023-01-11T21:35:33.1488279Z   test_quick_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.956s)
2023-01-11T21:35:33.1488407Z   test_quick_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1488524Z   test_quick_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (0.511s)
2023-01-11T21:35:33.1488652Z   test_quick_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (0.508s)
2023-01-11T21:35:33.1488777Z   test_quick_unfold_cpu_int16 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1488904Z   test_quick_unfold_cpu_int32 (__main__.TestDecompCPU) ... ok (0.336s)
2023-01-11T21:35:33.1489028Z   test_quick_unfold_cpu_int64 (__main__.TestDecompCPU) ... ok (0.334s)
2023-01-11T21:35:33.1489155Z   test_quick_unfold_cpu_int8 (__main__.TestDecompCPU) ... ok (0.335s)
2023-01-11T21:35:33.1489280Z   test_quick_unfold_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.333s)
2023-01-11T21:35:33.1489432Z   test_quick_uniform_cpu_bfloat16 (__main__.TestDecompCPU) ... expected failure (0.001s)
2023-01-11T21:35:33.1489574Z   test_quick_uniform_cpu_complex128 (__main__.TestDecompCPU) ... expected failure (0.001s)
2023-01-11T21:35:33.1489725Z   test_quick_uniform_cpu_complex64 (__main__.TestDecompCPU) ... expected failure (0.001s)
2023-01-11T21:35:33.1489871Z   test_quick_uniform_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.001s)
2023-01-11T21:35:33.1490018Z   test_quick_uniform_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.001s)
2023-01-11T21:35:33.1490163Z   test_quick_uniform_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.001s)
2023-01-11T21:35:33.1490300Z   test_quick_unsqueeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1490473Z   test_quick_unsqueeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1490613Z   test_quick_unsqueeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1490816Z   test_quick_unsqueeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1490954Z   test_quick_unsqueeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.050s)
2023-01-11T21:35:33.1491086Z   test_quick_unsqueeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1491218Z   test_quick_unsqueeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s)
2023-01-11T21:35:33.1491347Z   test_quick_unsqueeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s)
2023-01-11T21:35:33.1491478Z   test_quick_unsqueeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1491606Z   test_quick_unsqueeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1491736Z   test_quick_unsqueeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1491856Z   test_quick_unsqueeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1491984Z   test_quick_unsqueeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s)
2023-01-11T21:35:33.1492113Z   test_quick_var_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1492243Z   test_quick_var_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.102s)
2023-01-11T21:35:33.1492372Z   test_quick_var_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.104s)
2023-01-11T21:35:33.1492497Z   test_quick_var_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1492620Z   test_quick_var_cpu_float32 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1492741Z   test_quick_var_cpu_float64 (__main__.TestDecompCPU) ... ok (0.058s)
2023-01-11T21:35:33.1492861Z   test_quick_var_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1492994Z   test_quick_var_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.202s)
2023-01-11T21:35:33.1493131Z   test_quick_var_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.205s)
2023-01-11T21:35:33.1493262Z   test_quick_var_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s)
2023-01-11T21:35:33.1493393Z   test_quick_var_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.115s)
2023-01-11T21:35:33.1493521Z   test_quick_var_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.113s)
2023-01-11T21:35:33.1493666Z   test_quick_var_mean_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1493813Z   test_quick_var_mean_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1493946Z   test_quick_var_mean_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1494088Z   test_quick_var_mean_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1494224Z   test_quick_var_mean_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s)
2023-01-11T21:35:33.1494358Z   test_quick_var_mean_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1494502Z   test_quick_var_unbiased_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1494644Z   test_quick_var_unbiased_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s)
2023-01-11T21:35:33.1494784Z   test_quick_var_unbiased_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1494920Z   test_quick_var_unbiased_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1495046Z   test_quick_var_unbiased_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1495183Z   test_quick_var_unbiased_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1495311Z   test_quick_view_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1495434Z   test_quick_view_cpu_bool (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1495566Z   test_quick_view_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1495731Z   test_quick_view_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1495859Z   test_quick_view_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.075s)
2023-01-11T21:35:33.1496029Z   test_quick_view_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1496147Z   test_quick_view_cpu_float32 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1496274Z   test_quick_view_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s)
2023-01-11T21:35:33.1496400Z   test_quick_view_cpu_int16 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1496523Z   test_quick_view_cpu_int32 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1496642Z   test_quick_view_cpu_int64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1496765Z   test_quick_view_cpu_int8 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1496886Z   test_quick_view_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.027s)
2023-01-11T21:35:33.1497015Z   test_quick_where_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1497123Z   test_quick_where_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1497256Z   test_quick_where_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.093s)
2023-01-11T21:35:33.1497388Z   test_quick_where_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.1497518Z   test_quick_where_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.095s)
2023-01-11T21:35:33.1497645Z   test_quick_where_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s)
2023-01-11T21:35:33.1497771Z   test_quick_where_cpu_float32 (__main__.TestDecompCPU) ... ok (0.060s)
2023-01-11T21:35:33.1497896Z   test_quick_where_cpu_float64 (__main__.TestDecompCPU) ... ok (0.059s)
2023-01-11T21:35:33.1498021Z   test_quick_where_cpu_int16 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1498133Z   test_quick_where_cpu_int32 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1498255Z   test_quick_where_cpu_int64 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1498381Z   test_quick_where_cpu_int8 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1498502Z   test_quick_where_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.041s)
2023-01-11T21:35:33.1498631Z   test_quick_xlogy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1498755Z   test_quick_xlogy_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1498881Z   test_quick_xlogy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s)
2023-01-11T21:35:33.1499006Z   test_quick_xlogy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.074s)
2023-01-11T21:35:33.1499121Z   test_quick_xlogy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s)
2023-01-11T21:35:33.1499243Z   test_quick_xlogy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1499364Z   test_quick_xlogy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1499484Z   test_quick_xlogy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1499609Z   test_quick_xlogy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1499731Z   test_quick_xlogy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s)
2023-01-11T21:35:33.1499859Z   test_quick_zero__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1499970Z   test_quick_zero__cpu_bool (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1500100Z   test_quick_zero__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.025s)
2023-01-11T21:35:33.1500231Z   test_quick_zero__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.026s)
2023-01-11T21:35:33.1500356Z   test_quick_zero__cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1500483Z   test_quick_zero__cpu_float32 (__main__.TestDecompCPU) ... ok (0.016s)
2023-01-11T21:35:33.1500607Z   test_quick_zero__cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s)
2023-01-11T21:35:33.1500731Z   test_quick_zero__cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1500890Z   test_quick_zero__cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1500998Z   test_quick_zero__cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1501157Z   test_quick_zero__cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1501280Z   test_quick_zero__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s)
2023-01-11T21:35:33.1501410Z   test_quick_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1501533Z   test_quick_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1501664Z   test_quick_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1501794Z   test_quick_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1501923Z   test_quick_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502038Z   test_quick_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502165Z   test_quick_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502289Z   test_quick_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502413Z   test_quick_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502536Z   test_quick_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502656Z   test_quick_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1502779Z   test_quick_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1502900Z   test_quick_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s)
2023-01-11T21:35:33.1503022Z   test_quick_zeros_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s)
2023-01-11T21:35:33.1503153Z   test_quick_zeros_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1503291Z   test_quick_zeros_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s)
2023-01-11T21:35:33.1503428Z   test_quick_zeros_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s)
2023-01-11T21:35:33.1503564Z   test_quick_zeros_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.019s)
2023-01-11T21:35:33.1503698Z   test_quick_zeros_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s)
2023-01-11T21:35:33.1503831Z   test_quick_zeros_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1503961Z   test_quick_zeros_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s)
2023-01-11T21:35:33.1504079Z   test_quick_zeros_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1504209Z   test_quick_zeros_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1504335Z   test_quick_zeros_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s)
2023-01-11T21:35:33.1504463Z   test_quick_zeros_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1504595Z   test_quick_zeros_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s)
2023-01-11T21:35:33.1504715Z   test_uniform_cpu (__main__.TestDecompCPU) ... ok (0.001s)
2023-01-11T21:35:33.1504726Z 
2023-01-11T21:35:33.1504967Z ----------------------------------------------------------------------
2023-01-11T21:35:33.1505051Z Ran 7557 tests in 1711.807s
2023-01-11T21:35:33.1505058Z 
2023-01-11T21:35:33.1505142Z OK (skipped=543, expected failures=24)
2023-01-11T21:35:33.1505161Z 
2023-01-11T21:35:33.1505233Z Generating XML reports...
2023-01-11T21:35:33.1505561Z Generated XML report: test-reports/python-unittest/test_decomp/TEST-DecompContiguousTestsCPU-20230111210659.xml
2023-01-11T21:35:33.1505841Z Generated XML report: test-reports/python-unittest/test_decomp/TEST-TestDecompCPU-20230111210659.xml
2023-01-11T21:35:33.1506124Z Generated XML report: test-reports/python-unittest/test_decomp/TEST-DecompAmpTestsCPU-20230111210659.xml
2023-01-11T21:35:33.1506130Z 
2023-01-11T21:35:33.1506648Z ##[endgroup]
2023-01-11T21:35:33.1506918Z FINISHED PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_s_ismx8r)
2023-01-11T21:35:33.1506970Z 
2023-01-11T21:35:33.3946988Z Running inductor/test_torchinductor_opinfo ... [2023-01-11 21:35:33.394278]
2023-01-11T21:35:34.8386752Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:35:34.8451760Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:35:34.9668910Z Ignoring disabled issues:  []
2023-01-11T21:35:34.9782707Z Ignoring disabled issues:  []
2023-01-11T21:35:34.9844110Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:35:34.984061]
2023-01-11T21:35:34.9952748Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:35:34.994985]
2023-01-11T21:52:09.9731459Z 
2023-01-11T21:52:09.9731866Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2023-01-11T21:52:09.9732891Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_cjszmz_x)
2023-01-11T21:52:09.9738651Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:52:09.9765099Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-b7f7caad8b09ce22.xml
2023-01-11T21:52:09.9765752Z ============================= test session starts ==============================
2023-01-11T21:52:09.9766408Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T21:52:09.9766848Z cachedir: .pytest_cache
2023-01-11T21:52:09.9767546Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2023-01-11T21:52:09.9768178Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T21:52:09.9768903Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T21:52:09.9769471Z collecting ... collected 2739 items / 2 deselected / 2737 selected
2023-01-11T21:52:09.9988735Z Running 1324 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__native_batch_norm_legit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_shapes_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_inverse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32
2023-01-11T21:52:10.0153749Z 
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2023-01-11T21:52:10.0272038Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int32 PASSED [ 21%]
2023-01-11T21:52:10.0272418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int64 PASSED [ 21%]
2023-01-11T21:52:10.0272818Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_bool PASSED [ 21%]
2023-01-11T21:52:10.0273230Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float16 PASSED [ 21%]
2023-01-11T21:52:10.0273644Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float32 PASSED [ 22%]
2023-01-11T21:52:10.0274119Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int32 PASSED [ 22%]
2023-01-11T21:52:10.0274521Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float32 PASSED [ 22%]
2023-01-11T21:52:10.0274917Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float64 PASSED [ 22%]
2023-01-11T21:52:10.0275318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float32 PASSED [ 22%]
2023-01-11T21:52:10.0275741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float64 PASSED [ 22%]
2023-01-11T21:52:10.0276164Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int32 PASSED [ 22%]
2023-01-11T21:52:10.0276563Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int64 PASSED [ 22%]
2023-01-11T21:52:10.0276961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int32 PASSED [ 22%]
2023-01-11T21:52:10.0277342Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_bool PASSED [ 22%]
2023-01-11T21:52:10.0277738Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float32 PASSED [ 22%]
2023-01-11T21:52:10.0278133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int64 PASSED [ 22%]
2023-01-11T21:52:10.0278524Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float32 PASSED [ 22%]
2023-01-11T21:52:10.0278926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float32 PASSED [ 23%]
2023-01-11T21:52:10.0279323Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_bool PASSED [ 23%]
2023-01-11T21:52:10.0279717Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int32 PASSED [ 23%]
2023-01-11T21:52:10.0280107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float32 PASSED [ 23%]
2023-01-11T21:52:10.0280518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int32 PASSED [ 23%]
2023-01-11T21:52:10.0280924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float32 PASSED [ 23%]
2023-01-11T21:52:10.0281328Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float32 PASSED [ 23%]
2023-01-11T21:52:10.0281718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int32 PASSED [ 23%]
2023-01-11T21:52:10.0282116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_bool PASSED [ 23%]
2023-01-11T21:52:10.0282515Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float32 PASSED [ 23%]
2023-01-11T21:52:10.0282913Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float64 PASSED [ 23%]
2023-01-11T21:52:10.0283293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32 PASSED [ 23%]
2023-01-11T21:52:10.0283789Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int64 PASSED [ 23%]
2023-01-11T21:52:10.0284228Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_bool SKIPPED (fft.fft2 in torch.bool not supported) [ 24%]
2023-01-11T21:52:10.0284722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float64 SKIPPED (fft.fft2 in torch.float64 not supported) [ 24%]
2023-01-11T21:52:10.0285196Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int32 SKIPPED (fft.fft2 in torch.int32 not supported) [ 24%]
2023-01-11T21:52:10.0285675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int64 SKIPPED (fft.fft2 in torch.int64 not supported) [ 24%]
2023-01-11T21:52:10.0286154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float32 SKIPPED (fft.fft in torch.float32 not supported) [ 24%]
2023-01-11T21:52:10.0286636Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float64 SKIPPED (fft.fft in torch.float64 not supported) [ 24%]
2023-01-11T21:52:10.0287160Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int32 SKIPPED (fft.fft in torch.int32 not supported) [ 24%]
2023-01-11T21:52:10.0287667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int64 SKIPPED (fft.fft in torch.int64 not supported) [ 24%]
2023-01-11T21:52:10.0288111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_bool PASSED [ 24%]
2023-01-11T21:52:10.0288532Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float16 PASSED [ 24%]
2023-01-11T21:52:10.0288935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int64 PASSED [ 24%]
2023-01-11T21:52:10.0289385Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_bool SKIPPED (fft.hfft2 in torch.bool not supported) [ 24%]
2023-01-11T21:52:10.0289875Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float32 SKIPPED (fft.hfft2 in torch.float32 not supported) [ 24%]
2023-01-11T21:52:10.0290370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float64 SKIPPED (fft.hfft2 in torch.float64 not supported) [ 25%]
2023-01-11T21:52:10.0290842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int32 SKIPPED (fft.hfft2 in torch.int32 not supported) [ 25%]
2023-01-11T21:52:10.0291319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int64 SKIPPED (fft.hfft2 in torch.int64 not supported) [ 25%]
2023-01-11T21:52:10.0291802Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_bool SKIPPED (fft.hfft in torch.bool not supported) [ 25%]
2023-01-11T21:52:10.0292277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int32 SKIPPED (fft.hfft in torch.int32 not supported) [ 25%]
2023-01-11T21:52:10.0292752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int64 SKIPPED (fft.hfft in torch.int64 not supported) [ 25%]
2023-01-11T21:52:10.0293225Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float32 SKIPPED (fft.hfftn in torch.float32 not supported) [ 25%]
2023-01-11T21:52:10.0293714Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float64 SKIPPED (fft.hfftn in torch.float64 not supported) [ 25%]
2023-01-11T21:52:10.0294198Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int64 SKIPPED (fft.hfftn in torch.int64 not supported) [ 25%]
2023-01-11T21:52:10.0294676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_bool SKIPPED (fft.ifft2 in torch.bool not supported) [ 25%]
2023-01-11T21:52:10.0295148Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32 SKIPPED (fft.ifft2 in torch.float32 not supported) [ 25%]
2023-01-11T21:52:10.0295630Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float64 SKIPPED (fft.ifft2 in torch.float64 not supported) [ 25%]
2023-01-11T21:52:10.0296112Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int32 SKIPPED (fft.ifft2 in torch.int32 not supported) [ 25%]
2023-01-11T21:52:10.0296586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_bool SKIPPED (fft.ifft in torch.bool not supported) [ 25%]
2023-01-11T21:52:10.0297061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float64 SKIPPED (fft.ifft in torch.float64 not supported) [ 26%]
2023-01-11T21:52:10.0297542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int32 SKIPPED (fft.ifft in torch.int32 not supported) [ 26%]
2023-01-11T21:52:10.0298063Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float64 SKIPPED (fft.ifftn in torch.float64 not supported) [ 26%]
2023-01-11T21:52:10.0298575Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int32 SKIPPED (fft.ifftn in torch.int32 not supported) [ 26%]
2023-01-11T21:52:10.0299058Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int64 SKIPPED (fft.ifftn in torch.int64 not supported) [ 26%]
2023-01-11T21:52:10.0299491Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float32 PASSED [ 26%]
2023-01-11T21:52:10.0299912Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float64 PASSED [ 26%]
2023-01-11T21:52:10.0300366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_bool SKIPPED (fft.ihfft2 in torch.bool not supported) [ 26%]
2023-01-11T21:52:10.0300864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32 SKIPPED (fft.ihfft2 in torch.float32 not supported) [ 26%]
2023-01-11T21:52:10.0301351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float64 SKIPPED (fft.ihfft2 in torch.float64 not supported) [ 26%]
2023-01-11T21:52:10.0301844Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int32 SKIPPED (fft.ihfft2 in torch.int32 not supported) [ 26%]
2023-01-11T21:52:10.0302333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64 SKIPPED (fft.ihfft in torch.float64 not supported) [ 26%]
2023-01-11T21:52:10.0302817Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64 SKIPPED (fft.ihfft in torch.int64 not supported) [ 26%]
2023-01-11T21:52:10.0303290Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_bool SKIPPED (fft.ihfftn in torch.bool not supported) [ 27%]
2023-01-11T21:52:10.0303782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float64 SKIPPED (fft.ihfftn in torch.float64 not supported) [ 27%]
2023-01-11T21:52:10.0304274Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int64 SKIPPED (fft.ihfftn in torch.int64 not supported) [ 27%]
2023-01-11T21:52:10.0304755Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_bool SKIPPED (fft.irfft2 in torch.bool not supported) [ 27%]
2023-01-11T21:52:10.0305247Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float64 SKIPPED (fft.irfft2 in torch.float64 not supported) [ 27%]
2023-01-11T21:52:10.0305721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_bool SKIPPED (fft.irfft in torch.bool not supported) [ 27%]
2023-01-11T21:52:10.0306213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float32 SKIPPED (fft.irfft in torch.float32 not supported) [ 27%]
2023-01-11T21:52:10.0306698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int64 SKIPPED (fft.irfft in torch.int64 not supported) [ 27%]
2023-01-11T21:52:10.0307180Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int64 SKIPPED (fft.irfftn in torch.int64 not supported) [ 27%]
2023-01-11T21:52:10.0307612Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_bool PASSED [ 27%]
2023-01-11T21:52:10.0308067Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float32 SKIPPED (fft.rfftn in torch.float32 not supported) [ 27%]
2023-01-11T21:52:10.0308590Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float64 SKIPPED (fft.rfftn in torch.float64 not supported) [ 27%]
2023-01-11T21:52:10.0309066Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int64 PASSED [ 27%]
2023-01-11T21:52:10.0309466Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float16 PASSED [ 28%]
2023-01-11T21:52:10.0309869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float64 PASSED [ 28%]
2023-01-11T21:52:10.0310271Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int32 PASSED [ 28%]
2023-01-11T21:52:10.0310672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_bool PASSED [ 28%]
2023-01-11T21:52:10.0311063Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float64 PASSED [ 28%]
2023-01-11T21:52:10.0311477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int32 PASSED [ 28%]
2023-01-11T21:52:10.0311879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool PASSED [ 28%]
2023-01-11T21:52:10.0312278Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int64 PASSED [ 28%]
2023-01-11T21:52:10.0312669Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float16 PASSED [ 28%]
2023-01-11T21:52:10.0313072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int32 PASSED [ 28%]
2023-01-11T21:52:10.0313472Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int64 PASSED [ 28%]
2023-01-11T21:52:10.0313934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int32 PASSED [ 28%]
2023-01-11T21:52:10.0314345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16 PASSED [ 28%]
2023-01-11T21:52:10.0314746Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float32 PASSED [ 29%]
2023-01-11T21:52:10.0315147Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float64 PASSED [ 29%]
2023-01-11T21:52:10.0315534Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int32 PASSED [ 29%]
2023-01-11T21:52:10.0315930Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int64 PASSED [ 29%]
2023-01-11T21:52:10.0316335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float32 PASSED [ 29%]
2023-01-11T21:52:10.0316752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float64 PASSED [ 29%]
2023-01-11T21:52:10.0317154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int64 PASSED [ 29%]
2023-01-11T21:52:10.0317561Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float32 PASSED [ 29%]
2023-01-11T21:52:10.0317963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float64 PASSED [ 29%]
2023-01-11T21:52:10.0318364Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int64 PASSED [ 29%]
2023-01-11T21:52:10.0318761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float64 PASSED [ 29%]
2023-01-11T21:52:10.0319174Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int32 PASSED [ 29%]
2023-01-11T21:52:10.0319581Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16 PASSED [ 29%]
2023-01-11T21:52:10.0319978Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float32 PASSED [ 29%]
2023-01-11T21:52:10.0320397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float64 PASSED [ 30%]
2023-01-11T21:52:10.0320846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float16 PASSED [ 30%]
2023-01-11T21:52:10.0321244Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float32 PASSED [ 30%]
2023-01-11T21:52:10.0321635Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float64 PASSED [ 30%]
2023-01-11T21:52:10.0322017Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int64 PASSED [ 30%]
2023-01-11T21:52:10.0322415Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float16 PASSED [ 30%]
2023-01-11T21:52:10.0322810Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float32 PASSED [ 30%]
2023-01-11T21:52:10.0323195Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float64 PASSED [ 30%]
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2023-01-11T21:52:10.0324108Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float32 PASSED [ 30%]
2023-01-11T21:52:10.0324505Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float64 PASSED [ 30%]
2023-01-11T21:52:10.0324892Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_bool PASSED [ 30%]
2023-01-11T21:52:10.0325290Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float32 PASSED [ 30%]
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2023-01-11T21:52:10.0326490Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float16 PASSED [ 31%]
2023-01-11T21:52:10.0326895Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int32 PASSED [ 31%]
2023-01-11T21:52:10.0327292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32 PASSED [ 31%]
2023-01-11T21:52:10.0327689Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float16 PASSED [ 31%]
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2023-01-11T21:52:10.0328473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float32 PASSED [ 31%]
2023-01-11T21:52:10.0328873Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float64 PASSED [ 31%]
2023-01-11T21:52:10.0329272Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float16 PASSED [ 31%]
2023-01-11T21:52:10.0329676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_bool PASSED [ 31%]
2023-01-11T21:52:10.0330073Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float32 PASSED [ 31%]
2023-01-11T21:52:10.0330468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int32 PASSED [ 31%]
2023-01-11T21:52:10.0330851Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_bool PASSED [ 32%]
2023-01-11T21:52:10.0331249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float16 PASSED [ 32%]
2023-01-11T21:52:10.0331647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float32 PASSED [ 32%]
2023-01-11T21:52:10.0332096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float64 PASSED [ 32%]
2023-01-11T21:52:10.0332515Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int64 PASSED [ 32%]
2023-01-11T21:52:10.0332920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_bool PASSED [ 32%]
2023-01-11T21:52:10.0333329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float16 PASSED [ 32%]
2023-01-11T21:52:10.0333743Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float64 PASSED [ 32%]
2023-01-11T21:52:10.0334141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int32 PASSED [ 32%]
2023-01-11T21:52:10.0334552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int64 PASSED [ 32%]
2023-01-11T21:52:10.0334957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float32 PASSED [ 32%]
2023-01-11T21:52:10.0335368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float32 PASSED [ 32%]
2023-01-11T21:52:10.0335776Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float64 PASSED [ 32%]
2023-01-11T21:52:10.0336188Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float64 PASSED [ 33%]
2023-01-11T21:52:10.0336591Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int32 PASSED [ 33%]
2023-01-11T21:52:10.0336991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_bool PASSED [ 33%]
2023-01-11T21:52:10.0337382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16 PASSED [ 33%]
2023-01-11T21:52:10.0337786Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float32 PASSED [ 33%]
2023-01-11T21:52:10.0338189Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float64 PASSED [ 33%]
2023-01-11T21:52:10.0338578Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float64 PASSED [ 33%]
2023-01-11T21:52:10.0338973Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32 PASSED [ 33%]
2023-01-11T21:52:10.0339373Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64 PASSED [ 33%]
2023-01-11T21:52:10.0339780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool PASSED [ 33%]
2023-01-11T21:52:10.0340173Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16 PASSED [ 33%]
2023-01-11T21:52:10.0340579Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int64 PASSED [ 33%]
2023-01-11T21:52:10.0340982Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool PASSED [ 33%]
2023-01-11T21:52:10.0341395Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float32 PASSED [ 33%]
2023-01-11T21:52:10.0341794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool PASSED [ 34%]
2023-01-11T21:52:10.0342205Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32 PASSED [ 34%]
2023-01-11T21:52:10.0342611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32 PASSED [ 34%]
2023-01-11T21:52:10.0343021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int64 PASSED [ 34%]
2023-01-11T21:52:10.0343450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_bool PASSED [ 34%]
2023-01-11T21:52:10.0343853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float32 PASSED [ 34%]
2023-01-11T21:52:10.0344292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64 PASSED [ 34%]
2023-01-11T21:52:10.0344704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int32 PASSED [ 34%]
2023-01-11T21:52:10.0345106Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float32 PASSED [ 34%]
2023-01-11T21:52:10.0345521Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int32 PASSED [ 34%]
2023-01-11T21:52:10.0345932Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int64 PASSED [ 34%]
2023-01-11T21:52:10.0346340Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64 PASSED [ 34%]
2023-01-11T21:52:10.0346736Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64 PASSED [ 34%]
2023-01-11T21:52:10.0347134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32 PASSED [ 35%]
2023-01-11T21:52:10.0347530Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64 PASSED [ 35%]
2023-01-11T21:52:10.0347921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float16 PASSED [ 35%]
2023-01-11T21:52:10.0348329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32 PASSED [ 35%]
2023-01-11T21:52:10.0348737Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float64 PASSED [ 35%]
2023-01-11T21:52:10.0349141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int32 PASSED [ 35%]
2023-01-11T21:52:10.0349533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64 PASSED [ 35%]
2023-01-11T21:52:10.0349937Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16 PASSED [ 35%]
2023-01-11T21:52:10.0350347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32 PASSED [ 35%]
2023-01-11T21:52:10.0350756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float64 PASSED [ 35%]
2023-01-11T21:52:10.0351147Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64 PASSED [ 35%]
2023-01-11T21:52:10.0351549Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16 PASSED [ 35%]
2023-01-11T21:52:10.0351947Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32 PASSED [ 35%]
2023-01-11T21:52:10.0352351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int32 PASSED [ 36%]
2023-01-11T21:52:10.0352735Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64 PASSED [ 36%]
2023-01-11T21:52:10.0353130Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float16 PASSED [ 36%]
2023-01-11T21:52:10.0353526Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32 PASSED [ 36%]
2023-01-11T21:52:10.0353991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int64 PASSED [ 36%]
2023-01-11T21:52:10.0354390Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float32 PASSED [ 36%]
2023-01-11T21:52:10.0354801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float64 PASSED [ 36%]
2023-01-11T21:52:10.0355245Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int32 PASSED [ 36%]
2023-01-11T21:52:10.0355662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64 PASSED [ 36%]
2023-01-11T21:52:10.0356065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16 PASSED [ 36%]
2023-01-11T21:52:10.0356462Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32 PASSED [ 36%]
2023-01-11T21:52:10.0356856Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float64 PASSED [ 36%]
2023-01-11T21:52:10.0357242Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int32 PASSED [ 36%]
2023-01-11T21:52:10.0357642Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64 PASSED [ 37%]
2023-01-11T21:52:10.0358083Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0358566Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0359032Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0359517Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0360001Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0360485Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0360961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0361405Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0361856Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0362326Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0362803Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0363273Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0363846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:52:10.0364304Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32 SKIPPED (Only runs on cuda) [ 38%]
2023-01-11T21:52:10.0364760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 38%]
2023-01-11T21:52:10.0365202Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32 SKIPPED (Only runs on cuda) [ 38%]
2023-01-11T21:52:10.0365652Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64 SKIPPED (Only runs on cuda) [ 38%]
2023-01-11T21:52:10.0366142Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float16 PASSED [ 38%]
2023-01-11T21:52:10.0366576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32 PASSED [ 38%]
2023-01-11T21:52:10.0366970Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float64 PASSED [ 38%]
2023-01-11T21:52:10.0367374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int64 PASSED [ 38%]
2023-01-11T21:52:10.0367780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool PASSED [ 38%]
2023-01-11T21:52:10.0368182Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32 PASSED [ 38%]
2023-01-11T21:52:10.0368574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int32 PASSED [ 38%]
2023-01-11T21:52:10.0368975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32 PASSED [ 38%]
2023-01-11T21:52:10.0369377Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64 PASSED [ 38%]
2023-01-11T21:52:10.0369784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool PASSED [ 39%]
2023-01-11T21:52:10.0370178Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float32 PASSED [ 39%]
2023-01-11T21:52:10.0370592Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64 PASSED [ 39%]
2023-01-11T21:52:10.0371006Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64 PASSED [ 39%]
2023-01-11T21:52:10.0371407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64 PASSED [ 39%]
2023-01-11T21:52:10.0371815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64 PASSED [ 39%]
2023-01-11T21:52:10.0372242Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32 PASSED [ 39%]
2023-01-11T21:52:10.0372678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32 PASSED [ 39%]
2023-01-11T21:52:10.0373117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float64 PASSED [ 39%]
2023-01-11T21:52:10.0373545Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float32 PASSED [ 39%]
2023-01-11T21:52:10.0373959Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float64 PASSED [ 39%]
2023-01-11T21:52:10.0374374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32 PASSED [ 39%]
2023-01-11T21:52:10.0374790Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32 PASSED [ 39%]
2023-01-11T21:52:10.0375218Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0375700Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32 SKIPPED (linalg.ldl_solve in torch.float32 not supported) [ 40%]
2023-01-11T21:52:10.0376219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64 SKIPPED (linalg.ldl_solve in torch.float64 not supported) [ 40%]
2023-01-11T21:52:10.0376690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0377112Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0377583Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float32 PASSED [ 40%]
2023-01-11T21:52:10.0378038Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32 PASSED [ 40%]
2023-01-11T21:52:10.0378467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0378880Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32 PASSED [ 40%]
2023-01-11T21:52:10.0379304Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float16 PASSED [ 40%]
2023-01-11T21:52:10.0379729Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0380159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0380574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float64 PASSED [ 40%]
2023-01-11T21:52:10.0380996Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16 PASSED [ 41%]
2023-01-11T21:52:10.0381433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64 PASSED [ 41%]
2023-01-11T21:52:10.0381858Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32 PASSED [ 41%]
2023-01-11T21:52:10.0382288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float64 PASSED [ 41%]
2023-01-11T21:52:10.0382786Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 41%]
2023-01-11T21:52:10.0383335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 41%]
2023-01-11T21:52:10.0383816Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32 PASSED [ 41%]
2023-01-11T21:52:10.0384223Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64 PASSED [ 41%]
2023-01-11T21:52:10.0384644Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32 PASSED [ 41%]
2023-01-11T21:52:10.0385065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float64 PASSED [ 41%]
2023-01-11T21:52:10.0385493Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float32 PASSED [ 41%]
2023-01-11T21:52:10.0385906Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float64 PASSED [ 41%]
2023-01-11T21:52:10.0386323Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float32 PASSED [ 41%]
2023-01-11T21:52:10.0386742Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float64 PASSED [ 41%]
2023-01-11T21:52:10.0387168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32 PASSED [ 42%]
2023-01-11T21:52:10.0387584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float64 PASSED [ 42%]
2023-01-11T21:52:10.0388010Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64 PASSED [ 42%]
2023-01-11T21:52:10.0388426Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64 PASSED [ 42%]
2023-01-11T21:52:10.0388877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16 PASSED [ 42%]
2023-01-11T21:52:10.0389303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float32 PASSED [ 42%]
2023-01-11T21:52:10.0389715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64 PASSED [ 42%]
2023-01-11T21:52:10.0390125Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int32 PASSED [ 42%]
2023-01-11T21:52:10.0390515Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int64 PASSED [ 42%]
2023-01-11T21:52:10.0390916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool PASSED [ 42%]
2023-01-11T21:52:10.0391314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float64 PASSED [ 42%]
2023-01-11T21:52:10.0391717Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_bool PASSED [ 42%]
2023-01-11T21:52:10.0392111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float64 PASSED [ 42%]
2023-01-11T21:52:10.0392514Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0392916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_bool PASSED [ 43%]
2023-01-11T21:52:10.0393315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float32 PASSED [ 43%]
2023-01-11T21:52:10.0393699Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0394157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32 PASSED [ 43%]
2023-01-11T21:52:10.0394555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int64 PASSED [ 43%]
2023-01-11T21:52:10.0394959Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0395376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float16 PASSED [ 43%]
2023-01-11T21:52:10.0395813Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0396241Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0396657Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0397058Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32 PASSED [ 43%]
2023-01-11T21:52:10.0397462Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float64 PASSED [ 43%]
2023-01-11T21:52:10.0397873Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_bool PASSED [ 44%]
2023-01-11T21:52:10.0398277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float16 PASSED [ 44%]
2023-01-11T21:52:10.0398690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float32 PASSED [ 44%]
2023-01-11T21:52:10.0399105Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int64 PASSED [ 44%]
2023-01-11T21:52:10.0399518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float64 PASSED [ 44%]
2023-01-11T21:52:10.0399915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int64 PASSED [ 44%]
2023-01-11T21:52:10.0400323Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float32 PASSED [ 44%]
2023-01-11T21:52:10.0400769Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float64 PASSED [ 44%]
2023-01-11T21:52:10.0401202Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float16 PASSED [ 44%]
2023-01-11T21:52:10.0401595Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_bool PASSED [ 44%]
2023-01-11T21:52:10.0401997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int64 PASSED [ 44%]
2023-01-11T21:52:10.0402403Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float32 PASSED [ 44%]
2023-01-11T21:52:10.0402815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float32 PASSED [ 44%]
2023-01-11T21:52:10.0403217Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float64 PASSED [ 45%]
2023-01-11T21:52:10.0403808Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_bool PASSED [ 45%]
2023-01-11T21:52:10.0404209Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float16 PASSED [ 45%]
2023-01-11T21:52:10.0404608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float64 PASSED [ 45%]
2023-01-11T21:52:10.0404993Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float16 PASSED [ 45%]
2023-01-11T21:52:10.0405384Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int32 PASSED [ 45%]
2023-01-11T21:52:10.0405780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float32 PASSED [ 45%]
2023-01-11T21:52:10.0406183Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float32 PASSED [ 45%]
2023-01-11T21:52:10.0406586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float32 PASSED [ 45%]
2023-01-11T21:52:10.0407002Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float64 PASSED [ 45%]
2023-01-11T21:52:10.0407405Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32 PASSED [ 45%]
2023-01-11T21:52:10.0407788Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float64 PASSED [ 45%]
2023-01-11T21:52:10.0408179Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int32 PASSED [ 45%]
2023-01-11T21:52:10.0408574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int64 PASSED [ 45%]
2023-01-11T21:52:10.0408967Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16 PASSED [ 46%]
2023-01-11T21:52:10.0409366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16 PASSED [ 46%]
2023-01-11T21:52:10.0409782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float32 PASSED [ 46%]
2023-01-11T21:52:10.0410194Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float16 PASSED [ 46%]
2023-01-11T21:52:10.0410608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32 PASSED [ 46%]
2023-01-11T21:52:10.0411011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float16 PASSED [ 46%]
2023-01-11T21:52:10.0411432Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32 PASSED [ 46%]
2023-01-11T21:52:10.0411851Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float32 PASSED [ 46%]
2023-01-11T21:52:10.0412318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32 PASSED [ 46%]
2023-01-11T21:52:10.0412759Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64 PASSED [ 46%]
2023-01-11T21:52:10.0413177Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int32 PASSED [ 46%]
2023-01-11T21:52:10.0413594Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32 PASSED [ 46%]
2023-01-11T21:52:10.0414011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int32 PASSED [ 46%]
2023-01-11T21:52:10.0414413Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool PASSED [ 47%]
2023-01-11T21:52:10.0414825Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float16 PASSED [ 47%]
2023-01-11T21:52:10.0415240Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64 PASSED [ 47%]
2023-01-11T21:52:10.0415656Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32 PASSED [ 47%]
2023-01-11T21:52:10.0416064Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32 PASSED [ 47%]
2023-01-11T21:52:10.0416494Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float64 PASSED [ 47%]
2023-01-11T21:52:10.0416921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32 PASSED [ 47%]
2023-01-11T21:52:10.0417347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64 PASSED [ 47%]
2023-01-11T21:52:10.0417751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32 PASSED [ 47%]
2023-01-11T21:52:10.0418175Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int64 PASSED [ 47%]
2023-01-11T21:52:10.0418592Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool PASSED [ 47%]
2023-01-11T21:52:10.0419005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32 PASSED [ 47%]
2023-01-11T21:52:10.0419406Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float64 PASSED [ 47%]
2023-01-11T21:52:10.0419818Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float16 PASSED [ 48%]
2023-01-11T21:52:10.0420231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float32 PASSED [ 48%]
2023-01-11T21:52:10.0420632Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float64 PASSED [ 48%]
2023-01-11T21:52:10.0421058Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float32 PASSED [ 48%]
2023-01-11T21:52:10.0421474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64 PASSED [ 48%]
2023-01-11T21:52:10.0421888Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32 PASSED [ 48%]
2023-01-11T21:52:10.0422287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64 PASSED [ 48%]
2023-01-11T21:52:10.0422703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float64 PASSED [ 48%]
2023-01-11T21:52:10.0423120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64 PASSED [ 48%]
2023-01-11T21:52:10.0423532Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32 PASSED [ 48%]
2023-01-11T21:52:10.0423970Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int64 PASSED [ 48%]
2023-01-11T21:52:10.0424411Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64 PASSED [ 48%]
2023-01-11T21:52:10.0424826Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64 PASSED [ 48%]
2023-01-11T21:52:10.0425236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool PASSED [ 49%]
2023-01-11T21:52:10.0425633Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float16 PASSED [ 49%]
2023-01-11T21:52:10.0426051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32 PASSED [ 49%]
2023-01-11T21:52:10.0426459Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64 PASSED [ 49%]
2023-01-11T21:52:10.0426868Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int32 PASSED [ 49%]
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2023-01-11T21:52:10.0430515Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float64 PASSED [ 50%]
2023-01-11T21:52:10.0430954Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32 PASSED [ 50%]
2023-01-11T21:52:10.0431388Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_bool PASSED [ 50%]
2023-01-11T21:52:10.0431827Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float64 PASSED [ 50%]
2023-01-11T21:52:10.0432245Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int64 PASSED [ 50%]
2023-01-11T21:52:10.0432662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_bool PASSED [ 50%]
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2023-01-11T21:52:10.0434927Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool PASSED [ 50%]
2023-01-11T21:52:10.0435448Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32 PASSED [ 50%]
2023-01-11T21:52:10.0436012Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float64 PASSED [ 50%]
2023-01-11T21:52:10.0450667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64 PASSED [ 50%]
2023-01-11T21:52:10.0451130Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32 PASSED [ 51%]
2023-01-11T21:52:10.0451581Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int32 PASSED [ 51%]
2023-01-11T21:52:10.0451997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_bool PASSED [ 51%]
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2023-01-11T21:52:10.0453685Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float32 PASSED [ 51%]
2023-01-11T21:52:10.0454111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float64 PASSED [ 51%]
2023-01-11T21:52:10.0454537Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int64 PASSED [ 51%]
2023-01-11T21:52:10.0454964Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float32 PASSED [ 51%]
2023-01-11T21:52:10.0455385Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32 PASSED [ 51%]
2023-01-11T21:52:10.0455811Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int64 PASSED [ 51%]
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2023-01-11T21:52:10.0459812Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float16 PASSED [ 52%]
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2023-01-11T21:52:10.0463161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float16 PASSED [ 53%]
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2023-01-11T21:52:10.0465547Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 53%]
2023-01-11T21:52:10.0465986Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 53%]
2023-01-11T21:52:10.0466406Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 53%]
2023-01-11T21:52:10.0466830Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64 PASSED [ 53%]
2023-01-11T21:52:10.0467261Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 54%]
2023-01-11T21:52:10.0467693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32 PASSED [ 54%]
2023-01-11T21:52:10.0468096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_bool PASSED [ 54%]
2023-01-11T21:52:10.0468501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int64 PASSED [ 54%]
2023-01-11T21:52:10.0468908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float16 PASSED [ 54%]
2023-01-11T21:52:10.0469302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float32 PASSED [ 54%]
2023-01-11T21:52:10.0469707Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float64 PASSED [ 54%]
2023-01-11T21:52:10.0470119Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float32 PASSED [ 54%]
2023-01-11T21:52:10.0470531Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float64 PASSED [ 54%]
2023-01-11T21:52:10.0470929Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int32 PASSED [ 54%]
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2023-01-11T21:52:10.0472546Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_bool PASSED [ 54%]
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2023-01-11T21:52:10.0473424Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_bool PASSED [ 55%]
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2023-01-11T21:52:10.0474712Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int32 PASSED [ 55%]
2023-01-11T21:52:10.0475125Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float64 PASSED [ 55%]
2023-01-11T21:52:10.0475573Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_bool PASSED [ 55%]
2023-01-11T21:52:10.0476000Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float16 PASSED [ 55%]
2023-01-11T21:52:10.0476440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float64 PASSED [ 55%]
2023-01-11T21:52:10.0476873Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int32 PASSED [ 55%]
2023-01-11T21:52:10.0477309Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int64 PASSED [ 55%]
2023-01-11T21:52:10.0477712Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float16 PASSED [ 55%]
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2023-01-11T21:52:10.0478504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float16 PASSED [ 56%]
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2023-01-11T21:52:10.0479297Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_bool PASSED [ 56%]
2023-01-11T21:52:10.0479705Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float16 PASSED [ 56%]
2023-01-11T21:52:10.0480109Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float32 PASSED [ 56%]
2023-01-11T21:52:10.0480503Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int32 PASSED [ 56%]
2023-01-11T21:52:10.0480919Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float16 PASSED [ 56%]
2023-01-11T21:52:10.0481343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float32 PASSED [ 56%]
2023-01-11T21:52:10.0481762Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int32 PASSED [ 56%]
2023-01-11T21:52:10.0482167Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int64 PASSED [ 56%]
2023-01-11T21:52:10.0482577Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_int64 PASSED [ 56%]
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2023-01-11T21:52:10.0483502Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float16 PASSED [ 56%]
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2023-01-11T21:52:10.0484315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float32 PASSED [ 57%]
2023-01-11T21:52:10.0484777Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float64 PASSED [ 57%]
2023-01-11T21:52:10.0485260Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float32 PASSED [ 57%]
2023-01-11T21:52:10.0485731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 57%]
2023-01-11T21:52:10.0486206Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 57%]
2023-01-11T21:52:10.0486668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32 PASSED [ 57%]
2023-01-11T21:52:10.0487120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32 PASSED [ 57%]
2023-01-11T21:52:10.0487558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 57%]
2023-01-11T21:52:10.0488005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 57%]
2023-01-11T21:52:10.0488461Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32 PASSED [ 57%]
2023-01-11T21:52:10.0488910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 57%]
2023-01-11T21:52:10.0489347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float32 PASSED [ 57%]
2023-01-11T21:52:10.0489794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float32 PASSED [ 58%]
2023-01-11T21:52:10.0490247Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float64 PASSED [ 58%]
2023-01-11T21:52:10.0490692Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float32 PASSED [ 58%]
2023-01-11T21:52:10.0491118Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float64 PASSED [ 58%]
2023-01-11T21:52:10.0491551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_int64 PASSED [ 58%]
2023-01-11T21:52:10.0491985Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float32 PASSED [ 58%]
2023-01-11T21:52:10.0492421Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_int64 PASSED [ 58%]
2023-01-11T21:52:10.0492848Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float32 PASSED [ 58%]
2023-01-11T21:52:10.0493283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float64 PASSED [ 58%]
2023-01-11T21:52:10.0493720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_int64 PASSED [ 58%]
2023-01-11T21:52:10.0494156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float32 PASSED [ 58%]
2023-01-11T21:52:10.0494580Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_float32 PASSED [ 58%]
2023-01-11T21:52:10.0495015Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_float64 PASSED [ 58%]
2023-01-11T21:52:10.0495447Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_int64 PASSED [ 58%]
2023-01-11T21:52:10.0495957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float32 PASSED [ 59%]
2023-01-11T21:52:10.0496430Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 59%]
2023-01-11T21:52:10.0496869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float32 PASSED [ 59%]
2023-01-11T21:52:10.0497294Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float64 PASSED [ 59%]
2023-01-11T21:52:10.0497716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float64 PASSED [ 59%]
2023-01-11T21:52:10.0498328Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_int64 PASSED [ 59%]
2023-01-11T21:52:10.0498816Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float32 PASSED [ 59%]
2023-01-11T21:52:10.0499281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_int64 PASSED [ 59%]
2023-01-11T21:52:10.0499739Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float32 PASSED [ 59%]
2023-01-11T21:52:10.0500194Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float64 PASSED [ 59%]
2023-01-11T21:52:10.0500630Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float64 PASSED [ 59%]
2023-01-11T21:52:10.0501087Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float32 PASSED [ 59%]
2023-01-11T21:52:10.0501552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float32 PASSED [ 59%]
2023-01-11T21:52:10.0502002Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_ctc_loss_cpu_float32 PASSED [ 60%]
2023-01-11T21:52:10.0502431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout2d_cpu_float64 PASSED [ 60%]
2023-01-11T21:52:10.0502874Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout3d_cpu_float32 PASSED [ 60%]
2023-01-11T21:52:10.0503314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout3d_cpu_float64 PASSED [ 60%]
2023-01-11T21:52:10.0503757Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float64 PASSED [ 60%]
2023-01-11T21:52:10.0504183Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float32 PASSED [ 60%]
2023-01-11T21:52:10.0504630Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float32 PASSED [ 60%]
2023-01-11T21:52:10.0505077Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float32 PASSED [ 60%]
2023-01-11T21:52:10.0505516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float64 PASSED [ 60%]
2023-01-11T21:52:10.0505968Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [ 60%]
2023-01-11T21:52:10.0506454Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 60%]
2023-01-11T21:52:10.0506987Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bool PASSED [ 60%]
2023-01-11T21:52:10.0507530Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int32 PASSED [ 60%]
2023-01-11T21:52:10.0508000Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 61%]
2023-01-11T21:52:10.0508445Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float32 PASSED [ 61%]
2023-01-11T21:52:10.0508871Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float64 PASSED [ 61%]
2023-01-11T21:52:10.0509315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float32 PASSED [ 61%]
2023-01-11T21:52:10.0509769Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_group_norm_cpu_float64 PASSED [ 61%]
2023-01-11T21:52:10.0510219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardshrink_cpu_float32 PASSED [ 61%]
2023-01-11T21:52:10.0510672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float32 PASSED [ 61%]
2023-01-11T21:52:10.0511113Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float64 PASSED [ 61%]
2023-01-11T21:52:10.0511551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardswish_cpu_float64 PASSED [ 61%]
2023-01-11T21:52:10.0511984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float64 PASSED [ 61%]
2023-01-11T21:52:10.0512403Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_int64 PASSED [ 61%]
2023-01-11T21:52:10.0512840Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float16 PASSED [ 61%]
2023-01-11T21:52:10.0513287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float32 PASSED [ 61%]
2023-01-11T21:52:10.0513746Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0514268Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0514727Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float32 PASSED [ 62%]
2023-01-11T21:52:10.0515185Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float32 PASSED [ 62%]
2023-01-11T21:52:10.0515641Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0516087Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_trilinear_cpu_float32 PASSED [ 62%]
2023-01-11T21:52:10.0516561Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_trilinear_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0517012Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_kl_div_cpu_float32 PASSED [ 62%]
2023-01-11T21:52:10.0517451Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_layer_norm_cpu_float32 PASSED [ 62%]
2023-01-11T21:52:10.0517896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_layer_norm_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0518374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_leaky_relu_cpu_float32 PASSED [ 62%]
2023-01-11T21:52:10.0518843Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_leaky_relu_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0519297Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float64 PASSED [ 62%]
2023-01-11T21:52:10.0519740Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int32 PASSED [ 62%]
2023-01-11T21:52:10.0520176Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float32 PASSED [ 63%]
2023-01-11T21:52:10.0520633Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float64 PASSED [ 63%]
2023-01-11T21:52:10.0521087Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_int64 PASSED [ 63%]
2023-01-11T21:52:10.0521545Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 63%]
2023-01-11T21:52:10.0521980Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int32 PASSED [ 63%]
2023-01-11T21:52:10.0522435Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int64 PASSED [ 63%]
2023-01-11T21:52:10.0522879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float32 PASSED [ 63%]
2023-01-11T21:52:10.0523315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float32 PASSED [ 63%]
2023-01-11T21:52:10.0523858Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float64 PASSED [ 63%]
2023-01-11T21:52:10.0524303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_cpu_float64 PASSED [ 63%]
2023-01-11T21:52:10.0524754Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32 PASSED [ 63%]
2023-01-11T21:52:10.0525213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 63%]
2023-01-11T21:52:10.0525648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float32 PASSED [ 63%]
2023-01-11T21:52:10.0526094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float32 PASSED [ 64%]
2023-01-11T21:52:10.0526561Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float64 PASSED [ 64%]
2023-01-11T21:52:10.0527029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [ 64%]
2023-01-11T21:52:10.0527466Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mish_cpu_float32 PASSED [ 64%]
2023-01-11T21:52:10.0527879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mish_cpu_float64 PASSED [ 64%]
2023-01-11T21:52:10.0528318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_margin_loss_cpu_float32 PASSED [ 64%]
2023-01-11T21:52:10.0528777Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float32 PASSED [ 64%]
2023-01-11T21:52:10.0529226Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float32 PASSED [ 64%]
2023-01-11T21:52:10.0529725Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float64 PASSED [ 64%]
2023-01-11T21:52:10.0530197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_bool PASSED [ 64%]
2023-01-11T21:52:10.0530648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float64 PASSED [ 64%]
2023-01-11T21:52:10.0531094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_int32 PASSED [ 64%]
2023-01-11T21:52:10.0531524Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_int64 PASSED [ 64%]
2023-01-11T21:52:10.0531975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_bool PASSED [ 65%]
2023-01-11T21:52:10.0532422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float32 PASSED [ 65%]
2023-01-11T21:52:10.0532912Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float64 PASSED [ 65%]
2023-01-11T21:52:10.0533372Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int32 PASSED [ 65%]
2023-01-11T21:52:10.0533833Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float32 PASSED [ 65%]
2023-01-11T21:52:10.0534369Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float64 PASSED [ 65%]
2023-01-11T21:52:10.0534817Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pdist_cpu_float32 PASSED [ 65%]
2023-01-11T21:52:10.0535273Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pdist_cpu_float64 PASSED [ 65%]
2023-01-11T21:52:10.0535733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float16 PASSED [ 65%]
2023-01-11T21:52:10.0536176Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 65%]
2023-01-11T21:52:10.0536633Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int32 PASSED [ 65%]
2023-01-11T21:52:10.0537072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int64 PASSED [ 65%]
2023-01-11T21:52:10.0537523Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16 PASSED [ 65%]
2023-01-11T21:52:10.0537962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int32 PASSED [ 66%]
2023-01-11T21:52:10.0538418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float32 PASSED [ 66%]
2023-01-11T21:52:10.0538870Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int32 PASSED [ 66%]
2023-01-11T21:52:10.0539319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64 PASSED [ 66%]
2023-01-11T21:52:10.0539748Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float32 PASSED [ 66%]
2023-01-11T21:52:10.0540180Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float64 PASSED [ 66%]
2023-01-11T21:52:10.0540613Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float32 PASSED [ 66%]
2023-01-11T21:52:10.0541085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int64 PASSED [ 66%]
2023-01-11T21:52:10.0541531Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float64 PASSED [ 66%]
2023-01-11T21:52:10.0541964Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int64 PASSED [ 66%]
2023-01-11T21:52:10.0542390Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float32 PASSED [ 66%]
2023-01-11T21:52:10.0542821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float32 PASSED [ 66%]
2023-01-11T21:52:10.0543237Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float64 PASSED [ 66%]
2023-01-11T21:52:10.0543659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float32 PASSED [ 66%]
2023-01-11T21:52:10.0544101Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 67%]
2023-01-11T21:52:10.0544554Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 67%]
2023-01-11T21:52:10.0544986Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_cpu_float32 PASSED [ 67%]
2023-01-11T21:52:10.0545422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_cpu_float64 PASSED [ 67%]
2023-01-11T21:52:10.0545864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float32 PASSED [ 67%]
2023-01-11T21:52:10.0546307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float64 PASSED [ 67%]
2023-01-11T21:52:10.0546741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float32 PASSED [ 67%]
2023-01-11T21:52:10.0547179Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int32 PASSED [ 67%]
2023-01-11T21:52:10.0547610Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int64 PASSED [ 67%]
2023-01-11T21:52:10.0548047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float32 PASSED [ 67%]
2023-01-11T21:52:10.0548474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int32 PASSED [ 67%]
2023-01-11T21:52:10.0548915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float32 PASSED [ 67%]
2023-01-11T21:52:10.0549353Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float64 PASSED [ 67%]
2023-01-11T21:52:10.0549807Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 68%]
2023-01-11T21:52:10.0550251Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int64 PASSED [ 68%]
2023-01-11T21:52:10.0550726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [ 68%]
2023-01-11T21:52:10.0551211Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int32 PASSED [ 68%]
2023-01-11T21:52:10.0551692Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int64 PASSED [ 68%]
2023-01-11T21:52:10.0552149Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float64 PASSED [ 68%]
2023-01-11T21:52:10.0552613Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_bool PASSED [ 68%]
2023-01-11T21:52:10.0553051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int64 PASSED [ 68%]
2023-01-11T21:52:10.0553460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float16 PASSED [ 68%]
2023-01-11T21:52:10.0553924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float32 PASSED [ 68%]
2023-01-11T21:52:10.0554329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float64 PASSED [ 68%]
2023-01-11T21:52:10.0554741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float32 PASSED [ 68%]
2023-01-11T21:52:10.0555151Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float64 PASSED [ 68%]
2023-01-11T21:52:10.0555552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float16 PASSED [ 69%]
2023-01-11T21:52:10.0555962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float16 PASSED [ 69%]
2023-01-11T21:52:10.0556367Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float32 PASSED [ 69%]
2023-01-11T21:52:10.0556774Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float64 PASSED [ 69%]
2023-01-11T21:52:10.0557163Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_bool PASSED [ 69%]
2023-01-11T21:52:10.0557566Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float16 PASSED [ 69%]
2023-01-11T21:52:10.0557966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_int64 PASSED [ 69%]
2023-01-11T21:52:10.0558360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float16 PASSED [ 69%]
2023-01-11T21:52:10.0558777Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float32 PASSED [ 69%]
2023-01-11T21:52:10.0559184Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float16 PASSED [ 69%]
2023-01-11T21:52:10.0559586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_int32 PASSED [ 69%]
2023-01-11T21:52:10.0559984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pca_lowrank_cpu_float32 PASSED [ 69%]
2023-01-11T21:52:10.0560398Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int64 PASSED [ 69%]
2023-01-11T21:52:10.0560803Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float64 PASSED [ 70%]
2023-01-11T21:52:10.0561234Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_bool PASSED [ 70%]
2023-01-11T21:52:10.0561661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int32 PASSED [ 70%]
2023-01-11T21:52:10.0562095Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int64 PASSED [ 70%]
2023-01-11T21:52:10.0562534Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_float64 PASSED [ 70%]
2023-01-11T21:52:10.0562972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_bool PASSED [ 70%]
2023-01-11T21:52:10.0563504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float32 PASSED [ 70%]
2023-01-11T21:52:10.0563945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float64 PASSED [ 70%]
2023-01-11T21:52:10.0564431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int32 PASSED [ 70%]
2023-01-11T21:52:10.0564902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float32 PASSED [ 70%]
2023-01-11T21:52:10.0565327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float64 PASSED [ 70%]
2023-01-11T21:52:10.0565764Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int32 PASSED [ 70%]
2023-01-11T21:52:10.0566198Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float32 PASSED [ 70%]
2023-01-11T21:52:10.0566629Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float64 PASSED [ 70%]
2023-01-11T21:52:10.0567045Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float32 PASSED [ 71%]
2023-01-11T21:52:10.0567465Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float64 PASSED [ 71%]
2023-01-11T21:52:10.0567875Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int64 PASSED [ 71%]
2023-01-11T21:52:10.0568282Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float16 PASSED [ 71%]
2023-01-11T21:52:10.0568675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float64 PASSED [ 71%]
2023-01-11T21:52:10.0569073Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_int32 PASSED [ 71%]
2023-01-11T21:52:10.0569471Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_int64 PASSED [ 71%]
2023-01-11T21:52:10.0569870Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float32 PASSED [ 71%]
2023-01-11T21:52:10.0570260Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int32 PASSED [ 71%]
2023-01-11T21:52:10.0570661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float64 PASSED [ 71%]
2023-01-11T21:52:10.0571063Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int32 PASSED [ 71%]
2023-01-11T21:52:10.0571462Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int64 PASSED [ 71%]
2023-01-11T21:52:10.0571843Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float32 PASSED [ 71%]
2023-01-11T21:52:10.0572246Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float64 PASSED [ 72%]
2023-01-11T21:52:10.0572660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float32 PASSED [ 72%]
2023-01-11T21:52:10.0573054Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float64 PASSED [ 72%]
2023-01-11T21:52:10.0573464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int32 PASSED [ 72%]
2023-01-11T21:52:10.0573870Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int64 PASSED [ 72%]
2023-01-11T21:52:10.0574276Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float32 PASSED [ 72%]
2023-01-11T21:52:10.0574671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int64 PASSED [ 72%]
2023-01-11T21:52:10.0575086Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float32 PASSED [ 72%]
2023-01-11T21:52:10.0575506Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float64 PASSED [ 72%]
2023-01-11T21:52:10.0575955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int64 PASSED [ 72%]
2023-01-11T21:52:10.0576379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float16 PASSED [ 72%]
2023-01-11T21:52:10.0576788Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float64 PASSED [ 72%]
2023-01-11T21:52:10.0577196Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float16 PASSED [ 72%]
2023-01-11T21:52:10.0577612Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float32 PASSED [ 73%]
2023-01-11T21:52:10.0578003Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float64 PASSED [ 73%]
2023-01-11T21:52:10.0578407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_bool PASSED [ 73%]
2023-01-11T21:52:10.0578811Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float16 PASSED [ 73%]
2023-01-11T21:52:10.0579249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int32 PASSED [ 73%]
2023-01-11T21:52:10.0579637Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_bool PASSED [ 73%]
2023-01-11T21:52:10.0580033Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int64 PASSED [ 73%]
2023-01-11T21:52:10.0580439Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_bool PASSED [ 73%]
2023-01-11T21:52:10.0580842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float16 PASSED [ 73%]
2023-01-11T21:52:10.0581254Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float32 PASSED [ 73%]
2023-01-11T21:52:10.0581676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float32 PASSED [ 73%]
2023-01-11T21:52:10.0582090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float64 PASSED [ 73%]
2023-01-11T21:52:10.0582490Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int32 PASSED [ 73%]
2023-01-11T21:52:10.0582895Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int64 PASSED [ 74%]
2023-01-11T21:52:10.0583302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float16 PASSED [ 74%]
2023-01-11T21:52:10.0583712Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float32 PASSED [ 74%]
2023-01-11T21:52:10.0584106Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_bool PASSED [ 74%]
2023-01-11T21:52:10.0584516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float16 PASSED [ 74%]
2023-01-11T21:52:10.0584923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float32 PASSED [ 74%]
2023-01-11T21:52:10.0585333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float64 PASSED [ 74%]
2023-01-11T21:52:10.0585727Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_int32 PASSED [ 74%]
2023-01-11T21:52:10.0586149Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float64 PASSED [ 74%]
2023-01-11T21:52:10.0586575Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float32 PASSED [ 74%]
2023-01-11T21:52:10.0586985Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float64 PASSED [ 74%]
2023-01-11T21:52:10.0587416Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_int32 PASSED [ 74%]
2023-01-11T21:52:10.0587854Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float32 PASSED [ 74%]
2023-01-11T21:52:10.0588267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int64 PASSED [ 75%]
2023-01-11T21:52:10.0588678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float16 PASSED [ 75%]
2023-01-11T21:52:10.0589072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float32 PASSED [ 75%]
2023-01-11T21:52:10.0589474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int64 PASSED [ 75%]
2023-01-11T21:52:10.0589877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_bool PASSED [ 75%]
2023-01-11T21:52:10.0590273Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float16 PASSED [ 75%]
2023-01-11T21:52:10.0590684Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int64 PASSED [ 75%]
2023-01-11T21:52:10.0591095Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float16 PASSED [ 75%]
2023-01-11T21:52:10.0591510Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float32 PASSED [ 75%]
2023-01-11T21:52:10.0591910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float64 PASSED [ 75%]
2023-01-11T21:52:10.0592321Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int32 PASSED [ 75%]
2023-01-11T21:52:10.0592735Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int64 PASSED [ 75%]
2023-01-11T21:52:10.0593146Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_bool PASSED [ 75%]
2023-01-11T21:52:10.0593549Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float32 PASSED [ 75%]
2023-01-11T21:52:10.0594043Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float64 PASSED [ 76%]
2023-01-11T21:52:10.0594464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_int32 PASSED [ 76%]
2023-01-11T21:52:10.0594873Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_int64 PASSED [ 76%]
2023-01-11T21:52:10.0595266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_bool PASSED [ 76%]
2023-01-11T21:52:10.0595672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float64 PASSED [ 76%]
2023-01-11T21:52:10.0596072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int64 PASSED [ 76%]
2023-01-11T21:52:10.0596471Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float64 PASSED [ 76%]
2023-01-11T21:52:10.0596859Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int32 PASSED [ 76%]
2023-01-11T21:52:10.0597252Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int64 PASSED [ 76%]
2023-01-11T21:52:10.0597651Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float32 PASSED [ 76%]
2023-01-11T21:52:10.0598052Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int64 PASSED [ 76%]
2023-01-11T21:52:10.0598456Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float64 PASSED [ 76%]
2023-01-11T21:52:10.0598926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float32 PASSED [ 76%]
2023-01-11T21:52:10.0599417Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float64 PASSED [ 77%]
2023-01-11T21:52:10.0599833Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int64 PASSED [ 77%]
2023-01-11T21:52:10.0600231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_bool PASSED [ 77%]
2023-01-11T21:52:10.0600647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float16 PASSED [ 77%]
2023-01-11T21:52:10.0601067Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float32 PASSED [ 77%]
2023-01-11T21:52:10.0601473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float64 PASSED [ 77%]
2023-01-11T21:52:10.0601893Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int32 PASSED [ 77%]
2023-01-11T21:52:10.0602305Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int64 PASSED [ 77%]
2023-01-11T21:52:10.0602846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_bool [W TensorAdvancedIndexing.cpp:1739] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2023-01-11T21:52:10.0603259Z PASSED [ 77%]
2023-01-11T21:52:10.0603673Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_int64 PASSED [ 77%]
2023-01-11T21:52:10.0604090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float64 PASSED [ 77%]
2023-01-11T21:52:10.0604509Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float32 PASSED [ 77%]
2023-01-11T21:52:10.0604940Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int64 PASSED [ 77%]
2023-01-11T21:52:10.0605363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float32 PASSED [ 78%]
2023-01-11T21:52:10.0605793Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float64 PASSED [ 78%]
2023-01-11T21:52:10.0606224Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float16 PASSED [ 78%]
2023-01-11T21:52:10.0606654Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float32 PASSED [ 78%]
2023-01-11T21:52:10.0607078Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float64 PASSED [ 78%]
2023-01-11T21:52:10.0607505Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float16 PASSED [ 78%]
2023-01-11T21:52:10.0607935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float32 PASSED [ 78%]
2023-01-11T21:52:10.0608366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float64 PASSED [ 78%]
2023-01-11T21:52:10.0608783Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int32 PASSED [ 78%]
2023-01-11T21:52:10.0609219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int64 PASSED [ 78%]
2023-01-11T21:52:10.0609645Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float16 PASSED [ 78%]
2023-01-11T21:52:10.0610067Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int64 PASSED [ 78%]
2023-01-11T21:52:10.0610540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float16 PASSED [ 78%]
2023-01-11T21:52:10.0611024Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float32 PASSED [ 79%]
2023-01-11T21:52:10.0611449Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_bool PASSED [ 79%]
2023-01-11T21:52:10.0611846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float16 PASSED [ 79%]
2023-01-11T21:52:10.0612252Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float32 PASSED [ 79%]
2023-01-11T21:52:10.0612659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float64 PASSED [ 79%]
2023-01-11T21:52:10.0613068Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool PASSED [ 79%]
2023-01-11T21:52:10.0613468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16 PASSED [ 79%]
2023-01-11T21:52:10.0613874Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float32 PASSED [ 79%]
2023-01-11T21:52:10.0614270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float64 PASSED [ 79%]
2023-01-11T21:52:10.0614672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_bool PASSED [ 79%]
2023-01-11T21:52:10.0615065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float32 PASSED [ 79%]
2023-01-11T21:52:10.0615471Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float64 PASSED [ 79%]
2023-01-11T21:52:10.0615875Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_int32 PASSED [ 79%]
2023-01-11T21:52:10.0616298Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_bartlett_cpu_float32 PASSED [ 79%]
2023-01-11T21:52:10.0616724Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0617168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0617615Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0618055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hann_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0618476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_nuttall_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0618901Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float16 PASSED [ 80%]
2023-01-11T21:52:10.0619313Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0619725Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float64 PASSED [ 80%]
2023-01-11T21:52:10.0620116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int32 PASSED [ 80%]
2023-01-11T21:52:10.0620520Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float32 PASSED [ 80%]
2023-01-11T21:52:10.0620922Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int64 PASSED [ 80%]
2023-01-11T21:52:10.0621321Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_bool PASSED [ 80%]
2023-01-11T21:52:10.0621707Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float64 PASSED [ 80%]
2023-01-11T21:52:10.0622138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_bool PASSED [ 81%]
2023-01-11T21:52:10.0622563Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float32 PASSED [ 81%]
2023-01-11T21:52:10.0622960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_bool PASSED [ 81%]
2023-01-11T21:52:10.0623368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float16 PASSED [ 81%]
2023-01-11T21:52:10.0623771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float64 PASSED [ 81%]
2023-01-11T21:52:10.0624181Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_bool PASSED [ 81%]
2023-01-11T21:52:10.0624588Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float16 PASSED [ 81%]
2023-01-11T21:52:10.0625010Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float32 PASSED [ 81%]
2023-01-11T21:52:10.0625427Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int32 PASSED [ 81%]
2023-01-11T21:52:10.0625842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float32 PASSED [ 81%]
2023-01-11T21:52:10.0626240Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float64 PASSED [ 81%]
2023-01-11T21:52:10.0626665Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float64 PASSED [ 81%]
2023-01-11T21:52:10.0627096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int32 PASSED [ 81%]
2023-01-11T21:52:10.0627521Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int64 PASSED [ 82%]
2023-01-11T21:52:10.0627917Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_bool PASSED [ 82%]
2023-01-11T21:52:10.0628324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float64 PASSED [ 82%]
2023-01-11T21:52:10.0628729Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int32 PASSED [ 82%]
2023-01-11T21:52:10.0629150Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float64 PASSED [ 82%]
2023-01-11T21:52:10.0629568Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64 PASSED [ 82%]
2023-01-11T21:52:10.0629997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float64 PASSED [ 82%]
2023-01-11T21:52:10.0630421Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int64 PASSED [ 82%]
2023-01-11T21:52:10.0630843Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float32 PASSED [ 82%]
2023-01-11T21:52:10.0631253Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int32 PASSED [ 82%]
2023-01-11T21:52:10.0631693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_bool PASSED [ 82%]
2023-01-11T21:52:10.0632151Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float32 PASSED [ 82%]
2023-01-11T21:52:10.0632609Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float64 PASSED [ 82%]
2023-01-11T21:52:10.0633051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int32 PASSED [ 83%]
2023-01-11T21:52:10.0633505Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float64 PASSED [ 83%]
2023-01-11T21:52:10.0634117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64 PASSED [ 83%]
2023-01-11T21:52:10.0634878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2023-01-11T21:52:10.0635579Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2023-01-11T21:52:10.0636278Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2023-01-11T21:52:10.0636972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2023-01-11T21:52:10.0637459Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_bool PASSED [ 83%]
2023-01-11T21:52:10.0637886Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_float64 PASSED [ 83%]
2023-01-11T21:52:10.0638290Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32 PASSED [ 83%]
2023-01-11T21:52:10.0638703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_bool PASSED [ 83%]
2023-01-11T21:52:10.0639121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float64 PASSED [ 83%]
2023-01-11T21:52:10.0639529Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int32 PASSED [ 83%]
2023-01-11T21:52:10.0639949Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int64 PASSED [ 83%]
2023-01-11T21:52:10.0640385Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_bool PASSED [ 84%]
2023-01-11T21:52:10.0640837Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float32 PASSED [ 84%]
2023-01-11T21:52:10.0641269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int32 PASSED [ 84%]
2023-01-11T21:52:10.0641718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float64 PASSED [ 84%]
2023-01-11T21:52:10.0642153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float32 PASSED [ 84%]
2023-01-11T21:52:10.0642568Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int64 PASSED [ 84%]
2023-01-11T21:52:10.0642966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool PASSED [ 84%]
2023-01-11T21:52:10.0643484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_bool PASSED [ 84%]
2023-01-11T21:52:10.0643898Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float32 PASSED [ 84%]
2023-01-11T21:52:10.0644308Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int32 PASSED [ 84%]
2023-01-11T21:52:10.0644739Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float32 PASSED [ 84%]
2023-01-11T21:52:10.0645179Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float64 PASSED [ 84%]
2023-01-11T21:52:10.0645686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int64 PASSED [ 84%]
2023-01-11T21:52:10.0646381Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%]
2023-01-11T21:52:10.0647094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%]
2023-01-11T21:52:10.0647577Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_bool PASSED [ 85%]
2023-01-11T21:52:10.0648009Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_bool PASSED [ 85%]
2023-01-11T21:52:10.0648449Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float32 PASSED [ 85%]
2023-01-11T21:52:10.0648889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int64 PASSED [ 85%]
2023-01-11T21:52:10.0649315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float32 PASSED [ 85%]
2023-01-11T21:52:10.0649753Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int32 PASSED [ 85%]
2023-01-11T21:52:10.0650188Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_bool PASSED [ 85%]
2023-01-11T21:52:10.0650632Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float32 PASSED [ 85%]
2023-01-11T21:52:10.0651055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float64 PASSED [ 85%]
2023-01-11T21:52:10.0651490Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int64 PASSED [ 85%]
2023-01-11T21:52:10.0651915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_bool PASSED [ 85%]
2023-01-11T21:52:10.0652329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float32 PASSED [ 86%]
2023-01-11T21:52:10.0652733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int32 PASSED [ 86%]
2023-01-11T21:52:10.0653142Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int64 PASSED [ 86%]
2023-01-11T21:52:10.0653584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bool PASSED [ 86%]
2023-01-11T21:52:10.0654054Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32 PASSED [ 86%]
2023-01-11T21:52:10.0654515Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int64 PASSED [ 86%]
2023-01-11T21:52:10.0654982Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float64 PASSED [ 86%]
2023-01-11T21:52:10.0655438Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int64 PASSED [ 86%]
2023-01-11T21:52:10.0655888Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int64 PASSED [ 86%]
2023-01-11T21:52:10.0656535Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2023-01-11T21:52:10.0657298Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2023-01-11T21:52:10.0658049Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2023-01-11T21:52:10.0658773Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2023-01-11T21:52:10.0659487Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0660205Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0660914Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0661626Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0662341Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0663059Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0663778Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0664480Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0665192Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2023-01-11T21:52:10.0665699Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_bool PASSED [ 87%]
2023-01-11T21:52:10.0666142Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float32 PASSED [ 87%]
2023-01-11T21:52:10.0666576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int64 PASSED [ 87%]
2023-01-11T21:52:10.0667013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_bool PASSED [ 87%]
2023-01-11T21:52:10.0667436Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float16 PASSED [ 87%]
2023-01-11T21:52:10.0667861Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float32 PASSED [ 88%]
2023-01-11T21:52:10.0668266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float64 PASSED [ 88%]
2023-01-11T21:52:10.0668681Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int32 PASSED [ 88%]
2023-01-11T21:52:10.0669095Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int64 PASSED [ 88%]
2023-01-11T21:52:10.0669537Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_bool PASSED [ 88%]
2023-01-11T21:52:10.0669963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float32 PASSED [ 88%]
2023-01-11T21:52:10.0670370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int64 PASSED [ 88%]
2023-01-11T21:52:10.0670783Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float16 PASSED [ 88%]
2023-01-11T21:52:10.0671202Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float32 PASSED [ 88%]
2023-01-11T21:52:10.0671603Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int32 PASSED [ 88%]
2023-01-11T21:52:10.0672021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_bool PASSED [ 88%]
2023-01-11T21:52:10.0672437Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int64 PASSED [ 88%]
2023-01-11T21:52:10.0672845Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_bool PASSED [ 88%]
2023-01-11T21:52:10.0673235Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float32 PASSED [ 89%]
2023-01-11T21:52:10.0673638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_bool PASSED [ 89%]
2023-01-11T21:52:10.0674116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float32 PASSED [ 89%]
2023-01-11T21:52:10.0674519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float64 PASSED [ 89%]
2023-01-11T21:52:10.0674912Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32 PASSED [ 89%]
2023-01-11T21:52:10.0675311Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int64 PASSED [ 89%]
2023-01-11T21:52:10.0675708Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_bool PASSED [ 89%]
2023-01-11T21:52:10.0676096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16 PASSED [ 89%]
2023-01-11T21:52:10.0676497Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float32 PASSED [ 89%]
2023-01-11T21:52:10.0676901Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int64 PASSED [ 89%]
2023-01-11T21:52:10.0677302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float64 PASSED [ 89%]
2023-01-11T21:52:10.0677689Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int32 PASSED [ 89%]
2023-01-11T21:52:10.0678084Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int64 PASSED [ 89%]
2023-01-11T21:52:10.0678480Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float64 PASSED [ 90%]
2023-01-11T21:52:10.0678902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float16 PASSED [ 90%]
2023-01-11T21:52:10.0679306Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float32 PASSED [ 90%]
2023-01-11T21:52:10.0679720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_unbiased_cpu_float64 PASSED [ 90%]
2023-01-11T21:52:10.0680114Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float32 PASSED [ 90%]
2023-01-11T21:52:10.0680506Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float64 PASSED [ 90%]
2023-01-11T21:52:10.0680926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int64 PASSED [ 90%]
2023-01-11T21:52:10.0681353Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_bool PASSED [ 90%]
2023-01-11T21:52:10.0681742Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float16 PASSED [ 90%]
2023-01-11T21:52:10.0682134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float64 PASSED [ 90%]
2023-01-11T21:52:10.0682511Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int64 PASSED [ 90%]
2023-01-11T21:52:10.0682899Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_bool PASSED [ 90%]
2023-01-11T21:52:10.0683303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float32 PASSED [ 90%]
2023-01-11T21:52:10.0683813Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float64 PASSED [ 91%]
2023-01-11T21:52:10.0684204Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float32 PASSED [ 91%]
2023-01-11T21:52:10.0684591Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float64 PASSED [ 91%]
2023-01-11T21:52:10.0684984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float32 PASSED [ 91%]
2023-01-11T21:52:10.0685374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float64 PASSED [ 91%]
2023-01-11T21:52:10.0685771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float64 PASSED [ 91%]
2023-01-11T21:52:10.0686160Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float64 PASSED [ 91%]
2023-01-11T21:52:10.0686546Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int64 PASSED [ 91%]
2023-01-11T21:52:10.0686930Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool PASSED [ 91%]
2023-01-11T21:52:10.0687340Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float16 PASSED [ 91%]
2023-01-11T21:52:10.0687760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float32 PASSED [ 91%]
2023-01-11T21:52:10.0688168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int64 PASSED [ 91%]
2023-01-11T21:52:10.0688560Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float16 PASSED [ 91%]
2023-01-11T21:52:10.0688953Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float32 PASSED [ 91%]
2023-01-11T21:52:10.0689347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float64 PASSED [ 92%]
2023-01-11T21:52:10.0689734Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int32 PASSED [ 92%]
2023-01-11T21:52:10.0690116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool PASSED [ 92%]
2023-01-11T21:52:10.0690500Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float32 PASSED [ 92%]
2023-01-11T21:52:10.0690894Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float64 PASSED [ 92%]
2023-01-11T21:52:10.0691280Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int64 PASSED [ 92%]
2023-01-11T21:52:10.0691659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float32 PASSED [ 92%]
2023-01-11T21:52:10.0692058Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int32 PASSED [ 92%]
2023-01-11T21:52:10.0692530Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float32 PASSED [ 92%]
2023-01-11T21:52:10.0692973Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float64 PASSED [ 92%]
2023-01-11T21:52:10.0693374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32 PASSED [ 92%]
2023-01-11T21:52:10.0693775Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float32 PASSED [ 92%]
2023-01-11T21:52:10.0694166Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int64 PASSED [ 92%]
2023-01-11T21:52:10.0694545Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float64 PASSED [ 93%]
2023-01-11T21:52:10.0694935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64 PASSED [ 93%]
2023-01-11T21:52:10.0695336Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int32 PASSED [ 93%]
2023-01-11T21:52:10.0695738Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int64 PASSED [ 93%]
2023-01-11T21:52:10.0696124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float32 PASSED [ 93%]
2023-01-11T21:52:10.0696525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float64 PASSED [ 93%]
2023-01-11T21:52:10.0696916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int32 PASSED [ 93%]
2023-01-11T21:52:10.0697308Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int64 PASSED [ 93%]
2023-01-11T21:52:10.0697699Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float32 PASSED [ 93%]
2023-01-11T21:52:10.0698111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int32 PASSED [ 93%]
2023-01-11T21:52:10.0698515Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int64 PASSED [ 93%]
2023-01-11T21:52:10.0698923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float16 PASSED [ 93%]
2023-01-11T21:52:10.0699311Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32 PASSED [ 93%]
2023-01-11T21:52:10.0699721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float64 PASSED [ 94%]
2023-01-11T21:52:10.0700128Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int32 PASSED [ 94%]
2023-01-11T21:52:10.0700533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int64 PASSED [ 94%]
2023-01-11T21:52:10.0700925Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int32 PASSED [ 94%]
2023-01-11T21:52:10.0701344Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float32 PASSED [ 94%]
2023-01-11T21:52:10.0701770Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64 PASSED [ 94%]
2023-01-11T21:52:10.0702181Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float32 PASSED [ 94%]
2023-01-11T21:52:10.0702568Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float64 PASSED [ 94%]
2023-01-11T21:52:10.0702961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32 PASSED [ 94%]
2023-01-11T21:52:10.0703355Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int64 PASSED [ 94%]
2023-01-11T21:52:10.0703788Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64 PASSED [ 94%]
2023-01-11T21:52:10.0704208Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float32 PASSED [ 94%]
2023-01-11T21:52:10.0704611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64 PASSED [ 94%]
2023-01-11T21:52:10.0705019Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool PASSED [ 95%]
2023-01-11T21:52:10.0705417Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float16 PASSED [ 95%]
2023-01-11T21:52:10.0705829Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float32 PASSED [ 95%]
2023-01-11T21:52:10.0706235Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32 PASSED [ 95%]
2023-01-11T21:52:10.0706644Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int64 PASSED [ 95%]
2023-01-11T21:52:10.0707038Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float32 PASSED [ 95%]
2023-01-11T21:52:10.0707442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16 PASSED [ 95%]
2023-01-11T21:52:10.0707840Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32 PASSED [ 95%]
2023-01-11T21:52:10.0708243Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_bool PASSED [ 95%]
2023-01-11T21:52:10.0708639Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16 PASSED [ 95%]
2023-01-11T21:52:10.0709044Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64 PASSED [ 95%]
2023-01-11T21:52:10.0709453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64 PASSED [ 95%]
2023-01-11T21:52:10.0709866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16 PASSED [ 95%]
2023-01-11T21:52:10.0710262Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool PASSED [ 95%]
2023-01-11T21:52:10.0710661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16 PASSED [ 96%]
2023-01-11T21:52:10.0711065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float32 PASSED [ 96%]
2023-01-11T21:52:10.0711478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float64 PASSED [ 96%]
2023-01-11T21:52:10.0711879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool PASSED [ 96%]
2023-01-11T21:52:10.0712291Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool PASSED [ 96%]
2023-01-11T21:52:10.0712693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float64 PASSED [ 96%]
2023-01-11T21:52:10.0713100Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64 PASSED [ 96%]
2023-01-11T21:52:10.0713495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int32 PASSED [ 96%]
2023-01-11T21:52:10.0713975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64 PASSED [ 96%]
2023-01-11T21:52:10.0714381Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float16 PASSED [ 96%]
2023-01-11T21:52:10.0714779Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32 PASSED [ 96%]
2023-01-11T21:52:10.0715170Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float16 PASSED [ 96%]
2023-01-11T21:52:10.0715614Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float32 PASSED [ 96%]
2023-01-11T21:52:10.0716057Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float64 PASSED [ 97%]
2023-01-11T21:52:10.0716463Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float32 PASSED [ 97%]
2023-01-11T21:52:10.0716889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float64 PASSED [ 97%]
2023-01-11T21:52:10.0717310Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float64 PASSED [ 97%]
2023-01-11T21:52:10.0717718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int32 PASSED [ 97%]
2023-01-11T21:52:10.0718100Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64 PASSED [ 97%]
2023-01-11T21:52:10.0718508Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float16 PASSED [ 97%]
2023-01-11T21:52:10.0718931Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float64 PASSED [ 97%]
2023-01-11T21:52:10.0719340Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float16 PASSED [ 97%]
2023-01-11T21:52:10.0719726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float64 PASSED [ 97%]
2023-01-11T21:52:10.0720130Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int64 PASSED [ 97%]
2023-01-11T21:52:10.0720530Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool PASSED [ 97%]
2023-01-11T21:52:10.0720935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32 PASSED [ 97%]
2023-01-11T21:52:10.0721325Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int64 PASSED [ 98%]
2023-01-11T21:52:10.0721724Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float16 PASSED [ 98%]
2023-01-11T21:52:10.0722126Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float32 PASSED [ 98%]
2023-01-11T21:52:10.0722528Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64 PASSED [ 98%]
2023-01-11T21:52:10.0722912Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32 PASSED [ 98%]
2023-01-11T21:52:10.0723315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64 PASSED [ 98%]
2023-01-11T21:52:10.0723825Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32 PASSED [ 98%]
2023-01-11T21:52:10.0724233Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32 PASSED [ 98%]
2023-01-11T21:52:10.0724627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64 PASSED [ 98%]
2023-01-11T21:52:10.0725032Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32 PASSED [ 98%]
2023-01-11T21:52:10.0725431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool PASSED [ 98%]
2023-01-11T21:52:10.0725828Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64 PASSED [ 98%]
2023-01-11T21:52:10.0726220Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32 PASSED [ 98%]
2023-01-11T21:52:10.0726619Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64 PASSED [ 99%]
2023-01-11T21:52:10.0727072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32 PASSED [ 99%]
2023-01-11T21:52:10.0727491Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64 PASSED [ 99%]
2023-01-11T21:52:10.0727896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_bool PASSED [ 99%]
2023-01-11T21:52:10.0728294Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float32 PASSED [ 99%]
2023-01-11T21:52:10.0728691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float64 PASSED [ 99%]
2023-01-11T21:52:10.0729078Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32 PASSED [ 99%]
2023-01-11T21:52:10.0729473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64 PASSED [ 99%]
2023-01-11T21:52:10.0729869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16 PASSED [ 99%]
2023-01-11T21:52:10.0730264Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float32 PASSED [ 99%]
2023-01-11T21:52:10.0730651Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float64 PASSED [ 99%]
2023-01-11T21:52:10.0731051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64 PASSED [ 99%]
2023-01-11T21:52:10.0731450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_bool PASSED [ 99%]
2023-01-11T21:52:10.0732352Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2023-01-11T21:52:10.0732805Z 
2023-01-11T21:52:10.0732809Z 
2023-01-11T21:52:10.0732921Z =============================== warnings summary ===============================
2023-01-11T21:52:10.0733262Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2023-01-11T21:52:10.0733781Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2023-01-11T21:52:10.0734140Z     self._mark_plugins_for_rewrite(hook)
2023-01-11T21:52:10.0734273Z 
2023-01-11T21:52:10.0734499Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2023-01-11T21:52:10.0735065Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-b7f7caad8b09ce22.xml -
2023-01-11T21:52:10.0735477Z ==== 1234 passed, 90 skipped, 2 deselected, 1 warning in 985.42s (0:16:25) =====
2023-01-11T21:52:10.0735799Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2023-01-11T21:52:10.0735991Z 
2023-01-11T21:52:10.0736284Z ##[endgroup]
2023-01-11T21:52:10.0736734Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_cjszmz_x)
2023-01-11T21:52:10.0736992Z 
2023-01-11T21:53:36.5166605Z 
2023-01-11T21:53:36.5167000Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2023-01-11T21:53:36.5167985Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_krx34f1h)
2023-01-11T21:53:36.5170733Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:53:36.5171535Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-beeb6f1ec248a088.xml
2023-01-11T21:53:36.5172269Z ============================= test session starts ==============================
2023-01-11T21:53:36.5172854Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T21:53:36.5173262Z cachedir: .pytest_cache
2023-01-11T21:53:36.5174028Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2023-01-11T21:53:36.5174622Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T21:53:36.5175307Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T21:53:36.5175788Z collecting ... collected 2739 items / 2 deselected / 2737 selected
2023-01-11T21:53:36.5383820Z Running 1411 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__native_batch_norm_legit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_partial_views_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_partial_views_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_left_shift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_right_shift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_inverse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matrix_exp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matrix_exp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_bool, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float16, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64
2023-01-11T21:53:36.5553385Z 
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2023-01-11T21:53:36.5685638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float16 PASSED [ 19%]
2023-01-11T21:53:36.5686070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int64 PASSED [ 19%]
2023-01-11T21:53:36.5686504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float16 PASSED [ 19%]
2023-01-11T21:53:36.5686917Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float32 PASSED [ 19%]
2023-01-11T21:53:36.5687343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float64 PASSED [ 20%]
2023-01-11T21:53:36.5687769Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int64 PASSED [ 20%]
2023-01-11T21:53:36.5688183Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_bool PASSED [ 20%]
2023-01-11T21:53:36.5688577Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float16 PASSED [ 20%]
2023-01-11T21:53:36.5688982Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float32 PASSED [ 20%]
2023-01-11T21:53:36.5689392Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float64 PASSED [ 20%]
2023-01-11T21:53:36.5689797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_bool PASSED [ 20%]
2023-01-11T21:53:36.5690189Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float16 PASSED [ 20%]
2023-01-11T21:53:36.5690590Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int32 PASSED [ 20%]
2023-01-11T21:53:36.5690991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float64 PASSED [ 20%]
2023-01-11T21:53:36.5691391Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float32 PASSED [ 20%]
2023-01-11T21:53:36.5691781Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float64 PASSED [ 20%]
2023-01-11T21:53:36.5692180Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int32 PASSED [ 20%]
2023-01-11T21:53:36.5692583Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int64 PASSED [ 20%]
2023-01-11T21:53:36.5692985Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float32 PASSED [ 21%]
2023-01-11T21:53:36.5693382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float64 PASSED [ 21%]
2023-01-11T21:53:36.5693791Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int64 PASSED [ 21%]
2023-01-11T21:53:36.5694216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_bool PASSED [ 21%]
2023-01-11T21:53:36.5694698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float16 PASSED [ 21%]
2023-01-11T21:53:36.5695079Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int32 PASSED [ 21%]
2023-01-11T21:53:36.5695525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int64 PASSED [ 21%]
2023-01-11T21:53:36.5695951Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_bool PASSED [ 21%]
2023-01-11T21:53:36.5696343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float16 PASSED [ 21%]
2023-01-11T21:53:36.5696743Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_bool PASSED [ 21%]
2023-01-11T21:53:36.5697140Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float32 PASSED [ 21%]
2023-01-11T21:53:36.5697542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float64 PASSED [ 21%]
2023-01-11T21:53:36.5697928Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int64 PASSED [ 21%]
2023-01-11T21:53:36.5698333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float64 PASSED [ 21%]
2023-01-11T21:53:36.5698733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int32 PASSED [ 22%]
2023-01-11T21:53:36.5699130Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_bool PASSED [ 22%]
2023-01-11T21:53:36.5699518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float64 PASSED [ 22%]
2023-01-11T21:53:36.5699920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int32 PASSED [ 22%]
2023-01-11T21:53:36.5700320Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int64 PASSED [ 22%]
2023-01-11T21:53:36.5700717Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_bool PASSED [ 22%]
2023-01-11T21:53:36.5701103Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float16 PASSED [ 22%]
2023-01-11T21:53:36.5701504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float64 PASSED [ 22%]
2023-01-11T21:53:36.5701897Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int32 PASSED [ 22%]
2023-01-11T21:53:36.5702289Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int64 PASSED [ 22%]
2023-01-11T21:53:36.5702675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float32 PASSED [ 22%]
2023-01-11T21:53:36.5703073Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float64 PASSED [ 22%]
2023-01-11T21:53:36.5703468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int64 PASSED [ 22%]
2023-01-11T21:53:36.5703854Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_bool PASSED [ 22%]
2023-01-11T21:53:36.5704268Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float16 PASSED [ 23%]
2023-01-11T21:53:36.5704679Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float64 PASSED [ 23%]
2023-01-11T21:53:36.5705088Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int64 PASSED [ 23%]
2023-01-11T21:53:36.5705477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_bool PASSED [ 23%]
2023-01-11T21:53:36.5705878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float16 PASSED [ 23%]
2023-01-11T21:53:36.5706278Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float64 PASSED [ 23%]
2023-01-11T21:53:36.5706682Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int32 PASSED [ 23%]
2023-01-11T21:53:36.5707102Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int64 PASSED [ 23%]
2023-01-11T21:53:36.5707529Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_bool PASSED [ 23%]
2023-01-11T21:53:36.5707934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float64 PASSED [ 23%]
2023-01-11T21:53:36.5708334Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int64 PASSED [ 23%]
2023-01-11T21:53:36.5708718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float16 PASSED [ 23%]
2023-01-11T21:53:36.5709161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float32 SKIPPED (fft.fft2 in torch.float32 not supported) [ 23%]
2023-01-11T21:53:36.5709651Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_bool SKIPPED (fft.fft in torch.bool not supported) [ 23%]
2023-01-11T21:53:36.5710134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_bool SKIPPED (fft.fftn in torch.bool not supported) [ 24%]
2023-01-11T21:53:36.5710603Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float32 SKIPPED (fft.fftn in torch.float32 not supported) [ 24%]
2023-01-11T21:53:36.5711093Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float64 SKIPPED (fft.fftn in torch.float64 not supported) [ 24%]
2023-01-11T21:53:36.5711574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int32 SKIPPED (fft.fftn in torch.int32 not supported) [ 24%]
2023-01-11T21:53:36.5712050Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int64 SKIPPED (fft.fftn in torch.int64 not supported) [ 24%]
2023-01-11T21:53:36.5712485Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float32 PASSED [ 24%]
2023-01-11T21:53:36.5712905Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float64 PASSED [ 24%]
2023-01-11T21:53:36.5713317Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32 PASSED [ 24%]
2023-01-11T21:53:36.5713773Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float32 SKIPPED (fft.hfft in torch.float32 not supported) [ 24%]
2023-01-11T21:53:36.5714328Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float64 SKIPPED (fft.hfft in torch.float64 not supported) [ 24%]
2023-01-11T21:53:36.5714815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_bool SKIPPED (fft.hfftn in torch.bool not supported) [ 24%]
2023-01-11T21:53:36.5715305Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int32 SKIPPED (fft.hfftn in torch.int32 not supported) [ 24%]
2023-01-11T21:53:36.5715792Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int64 SKIPPED (fft.ifft2 in torch.int64 not supported) [ 24%]
2023-01-11T21:53:36.5716279Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float32 SKIPPED (fft.ifft in torch.float32 not supported) [ 24%]
2023-01-11T21:53:36.5716751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int64 SKIPPED (fft.ifft in torch.int64 not supported) [ 25%]
2023-01-11T21:53:36.5717232Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_bool SKIPPED (fft.ifftn in torch.bool not supported) [ 25%]
2023-01-11T21:53:36.5717716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float32 SKIPPED (fft.ifftn in torch.float32 not supported) [ 25%]
2023-01-11T21:53:36.5718205Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_bool PASSED [ 25%]
2023-01-11T21:53:36.5718643Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16 PASSED [ 25%]
2023-01-11T21:53:36.5719062Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int32 PASSED [ 25%]
2023-01-11T21:53:36.5719482Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int64 PASSED [ 25%]
2023-01-11T21:53:36.5719931Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int64 SKIPPED (fft.ihfft2 in torch.int64 not supported) [ 25%]
2023-01-11T21:53:36.5720401Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_bool SKIPPED (fft.ihfft in torch.bool not supported) [ 25%]
2023-01-11T21:53:36.5720889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float32 SKIPPED (fft.ihfft in torch.float32 not supported) [ 25%]
2023-01-11T21:53:36.5721376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int32 SKIPPED (fft.ihfft in torch.int32 not supported) [ 25%]
2023-01-11T21:53:36.5721861Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float32 SKIPPED (fft.ihfftn in torch.float32 not supported) [ 25%]
2023-01-11T21:53:36.5722335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int32 SKIPPED (fft.ihfftn in torch.int32 not supported) [ 25%]
2023-01-11T21:53:36.5722821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32 SKIPPED (fft.irfft2 in torch.float32 not supported) [ 25%]
2023-01-11T21:53:36.5723306Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32 SKIPPED (fft.irfft2 in torch.int32 not supported) [ 26%]
2023-01-11T21:53:36.5723898Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int64 SKIPPED (fft.irfft2 in torch.int64 not supported) [ 26%]
2023-01-11T21:53:36.5724391Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float64 SKIPPED (fft.irfft in torch.float64 not supported) [ 26%]
2023-01-11T21:53:36.5724863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int32 SKIPPED (fft.irfft in torch.int32 not supported) [ 26%]
2023-01-11T21:53:36.5725343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_bool SKIPPED (fft.irfftn in torch.bool not supported) [ 26%]
2023-01-11T21:53:36.5725835Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float32 SKIPPED (fft.irfftn in torch.float32 not supported) [ 26%]
2023-01-11T21:53:36.5726330Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float64 SKIPPED (fft.irfftn in torch.float64 not supported) [ 26%]
2023-01-11T21:53:36.5726807Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int32 SKIPPED (fft.irfftn in torch.int32 not supported) [ 26%]
2023-01-11T21:53:36.5727296Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32 SKIPPED (fft.rfft2 in torch.float32 not supported) [ 26%]
2023-01-11T21:53:36.5727785Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float64 SKIPPED (fft.rfft2 in torch.float64 not supported) [ 26%]
2023-01-11T21:53:36.5728235Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int32 PASSED [ 26%]
2023-01-11T21:53:36.5728625Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int64 PASSED [ 26%]
2023-01-11T21:53:36.5729160Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_bool SKIPPED (fft.rfft in torch.bool not supported) [ 26%]
2023-01-11T21:53:36.5729649Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float32 SKIPPED (fft.rfft in torch.float32 not supported) [ 26%]
2023-01-11T21:53:36.5730138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float64 SKIPPED (fft.rfft in torch.float64 not supported) [ 27%]
2023-01-11T21:53:36.5730606Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int32 SKIPPED (fft.rfft in torch.int32 not supported) [ 27%]
2023-01-11T21:53:36.5731081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int64 SKIPPED (fft.rfft in torch.int64 not supported) [ 27%]
2023-01-11T21:53:36.5731526Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_bool PASSED [ 27%]
2023-01-11T21:53:36.5731933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int32 PASSED [ 27%]
2023-01-11T21:53:36.5732324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_bool PASSED [ 27%]
2023-01-11T21:53:36.5732729Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float32 PASSED [ 27%]
2023-01-11T21:53:36.5733134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int64 PASSED [ 27%]
2023-01-11T21:53:36.5733540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float16 PASSED [ 27%]
2023-01-11T21:53:36.5733934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float32 PASSED [ 27%]
2023-01-11T21:53:36.5734336Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int64 PASSED [ 27%]
2023-01-11T21:53:36.5734743Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float16 PASSED [ 27%]
2023-01-11T21:53:36.5735144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float32 PASSED [ 27%]
2023-01-11T21:53:36.5735533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float64 PASSED [ 27%]
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2023-01-11T21:53:36.5788131Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16 SKIPPED (Only runs on cuda) [ 36%]
2023-01-11T21:53:36.5788586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:53:36.5789054Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:53:36.5789525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:53:36.5790008Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:53:36.5790480Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2023-01-11T21:53:36.5790908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool PASSED [ 37%]
2023-01-11T21:53:36.5791294Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32 PASSED [ 37%]
2023-01-11T21:53:36.5791689Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64 PASSED [ 37%]
2023-01-11T21:53:36.5792095Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32 PASSED [ 37%]
2023-01-11T21:53:36.5792507Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float64 PASSED [ 37%]
2023-01-11T21:53:36.5792902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32 PASSED [ 37%]
2023-01-11T21:53:36.5793300Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int32 PASSED [ 37%]
2023-01-11T21:53:36.5793694Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64 PASSED [ 37%]
2023-01-11T21:53:36.5794161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float16 PASSED [ 37%]
2023-01-11T21:53:36.5794557Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float64 PASSED [ 38%]
2023-01-11T21:53:36.5794960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int64 PASSED [ 38%]
2023-01-11T21:53:36.5795360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool PASSED [ 38%]
2023-01-11T21:53:36.5795747Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16 PASSED [ 38%]
2023-01-11T21:53:36.5796149Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64 PASSED [ 38%]
2023-01-11T21:53:36.5796549Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int32 PASSED [ 38%]
2023-01-11T21:53:36.5796941Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64 PASSED [ 38%]
2023-01-11T21:53:36.5797322Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32 PASSED [ 38%]
2023-01-11T21:53:36.5797725Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float32 PASSED [ 38%]
2023-01-11T21:53:36.5798169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64 PASSED [ 38%]
2023-01-11T21:53:36.5798603Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32 PASSED [ 38%]
2023-01-11T21:53:36.5798991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int64 PASSED [ 38%]
2023-01-11T21:53:36.5799395Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32 PASSED [ 38%]
2023-01-11T21:53:36.5799811Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float64 PASSED [ 38%]
2023-01-11T21:53:36.5800225Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int32 PASSED [ 39%]
2023-01-11T21:53:36.5800624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float32 PASSED [ 39%]
2023-01-11T21:53:36.5801047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float32 PASSED [ 39%]
2023-01-11T21:53:36.5801476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float64 PASSED [ 39%]
2023-01-11T21:53:36.5801896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float32 PASSED [ 39%]
2023-01-11T21:53:36.5802296Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64 PASSED [ 39%]
2023-01-11T21:53:36.5802711Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float32 PASSED [ 39%]
2023-01-11T21:53:36.5803126Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float64 PASSED [ 39%]
2023-01-11T21:53:36.5803664Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float32 PASSED [ 39%]
2023-01-11T21:53:36.5804080Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float64 PASSED [ 39%]
2023-01-11T21:53:36.5804504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float64 PASSED [ 39%]
2023-01-11T21:53:36.5804984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32 SKIPPED (linalg.ldl_factor in torch.float32 not supported) [ 39%]
2023-01-11T21:53:36.5805526Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float64 SKIPPED (linalg.ldl_factor in torch.float64 not supported) [ 39%]
2023-01-11T21:53:36.5805985Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32 PASSED [ 39%]
2023-01-11T21:53:36.5808908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5809349Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5809765Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64 PASSED [ 40%]
2023-01-11T21:53:36.5810192Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float64 PASSED [ 40%]
2023-01-11T21:53:36.5810602Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64 PASSED [ 40%]
2023-01-11T21:53:36.5811030Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5811460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5811972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5812400Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5812938Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64 PASSED [ 40%]
2023-01-11T21:53:36.5813378Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32 PASSED [ 40%]
2023-01-11T21:53:36.5813803Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64 PASSED [ 40%]
2023-01-11T21:53:36.5814208Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32 PASSED [ 40%]
2023-01-11T21:53:36.5814628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int64 PASSED [ 40%]
2023-01-11T21:53:36.5815047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5815447Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float64 PASSED [ 41%]
2023-01-11T21:53:36.5815892Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16 PASSED [ 41%]
2023-01-11T21:53:36.5816350Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5816781Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64 PASSED [ 41%]
2023-01-11T21:53:36.5817197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5817621Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64 PASSED [ 41%]
2023-01-11T21:53:36.5818038Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5818458Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float64 PASSED [ 41%]
2023-01-11T21:53:36.5818863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5819288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64 PASSED [ 41%]
2023-01-11T21:53:36.5819710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5820127Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float64 PASSED [ 41%]
2023-01-11T21:53:36.5820588Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32 PASSED [ 41%]
2023-01-11T21:53:36.5821015Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32 PASSED [ 42%]
2023-01-11T21:53:36.5821433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32 PASSED [ 42%]
2023-01-11T21:53:36.5821848Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32 PASSED [ 42%]
2023-01-11T21:53:36.5822251Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float64 PASSED [ 42%]
2023-01-11T21:53:36.5822675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float16 PASSED [ 42%]
2023-01-11T21:53:36.5823095Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float32 PASSED [ 42%]
2023-01-11T21:53:36.5823521Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float64 PASSED [ 42%]
2023-01-11T21:53:36.5823917Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32 PASSED [ 42%]
2023-01-11T21:53:36.5824349Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int32 PASSED [ 42%]
2023-01-11T21:53:36.5824749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int64 PASSED [ 42%]
2023-01-11T21:53:36.5825154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float32 PASSED [ 42%]
2023-01-11T21:53:36.5825540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int32 PASSED [ 42%]
2023-01-11T21:53:36.5825934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int64 PASSED [ 42%]
2023-01-11T21:53:36.5826334Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_bool PASSED [ 42%]
2023-01-11T21:53:36.5826728Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32 PASSED [ 43%]
2023-01-11T21:53:36.5827118Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int32 PASSED [ 43%]
2023-01-11T21:53:36.5827508Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int64 PASSED [ 43%]
2023-01-11T21:53:36.5827913Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float32 PASSED [ 43%]
2023-01-11T21:53:36.5828336Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_bool PASSED [ 43%]
2023-01-11T21:53:36.5828760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32 PASSED [ 43%]
2023-01-11T21:53:36.5829195Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32 PASSED [ 43%]
2023-01-11T21:53:36.5829625Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int64 PASSED [ 43%]
2023-01-11T21:53:36.5830034Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float32 PASSED [ 43%]
2023-01-11T21:53:36.5830448Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float32 PASSED [ 43%]
2023-01-11T21:53:36.5830869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float32 PASSED [ 43%]
2023-01-11T21:53:36.5831289Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float64 PASSED [ 43%]
2023-01-11T21:53:36.5831693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float64 PASSED [ 43%]
2023-01-11T21:53:36.5832147Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32 PASSED [ 43%]
2023-01-11T21:53:36.5832555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_bool PASSED [ 44%]
2023-01-11T21:53:36.5832969Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16 PASSED [ 44%]
2023-01-11T21:53:36.5833368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float32 PASSED [ 44%]
2023-01-11T21:53:36.5833780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int32 PASSED [ 44%]
2023-01-11T21:53:36.5834283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_bool PASSED [ 44%]
2023-01-11T21:53:36.5834696Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float16 PASSED [ 44%]
2023-01-11T21:53:36.5835097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int32 PASSED [ 44%]
2023-01-11T21:53:36.5835510Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int64 PASSED [ 44%]
2023-01-11T21:53:36.5835961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_bool PASSED [ 44%]
2023-01-11T21:53:36.5836372Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float32 PASSED [ 44%]
2023-01-11T21:53:36.5836770Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float64 PASSED [ 44%]
2023-01-11T21:53:36.5837178Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int32 PASSED [ 44%]
2023-01-11T21:53:36.5837580Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int64 PASSED [ 44%]
2023-01-11T21:53:36.5837987Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float32 PASSED [ 44%]
2023-01-11T21:53:36.5838375Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64 PASSED [ 45%]
2023-01-11T21:53:36.5838776Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int32 PASSED [ 45%]
2023-01-11T21:53:36.5839183Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float64 PASSED [ 45%]
2023-01-11T21:53:36.5839586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int32 PASSED [ 45%]
2023-01-11T21:53:36.5839979Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int64 PASSED [ 45%]
2023-01-11T21:53:36.5840387Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_bool PASSED [ 45%]
2023-01-11T21:53:36.5840794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int32 PASSED [ 45%]
2023-01-11T21:53:36.5841184Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int64 PASSED [ 45%]
2023-01-11T21:53:36.5841591Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float32 PASSED [ 45%]
2023-01-11T21:53:36.5841993Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int32 PASSED [ 45%]
2023-01-11T21:53:36.5842387Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int64 PASSED [ 45%]
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2023-01-11T21:53:36.5852775Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float32 PASSED [ 47%]
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2023-01-11T21:53:36.5855713Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64 PASSED [ 47%]
2023-01-11T21:53:36.5856141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float32 PASSED [ 48%]
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2023-01-11T21:53:36.5861120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float32 PASSED [ 48%]
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2023-01-11T21:53:36.5863588Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32 PASSED [ 49%]
2023-01-11T21:53:36.5863995Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float64 PASSED [ 49%]
2023-01-11T21:53:36.5864402Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32 PASSED [ 49%]
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2023-01-11T21:53:36.5870098Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32 PASSED [ 50%]
2023-01-11T21:53:36.5870571Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_bool PASSED [ 50%]
2023-01-11T21:53:36.5871003Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float16 PASSED [ 50%]
2023-01-11T21:53:36.5871430Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float32 PASSED [ 50%]
2023-01-11T21:53:36.5871844Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float64 PASSED [ 50%]
2023-01-11T21:53:36.5872264Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int64 PASSED [ 50%]
2023-01-11T21:53:36.5872695Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float16 PASSED [ 50%]
2023-01-11T21:53:36.5873128Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float32 PASSED [ 50%]
2023-01-11T21:53:36.5873542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int32 PASSED [ 51%]
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2023-01-11T21:53:36.5877243Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float16 PASSED [ 51%]
2023-01-11T21:53:36.5877679Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32 PASSED [ 51%]
2023-01-11T21:53:36.5878154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool PASSED [ 51%]
2023-01-11T21:53:36.5878584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16 PASSED [ 51%]
2023-01-11T21:53:36.5879029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64 PASSED [ 51%]
2023-01-11T21:53:36.5879468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int64 PASSED [ 52%]
2023-01-11T21:53:36.5879892Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float16 PASSED [ 52%]
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2023-01-11T21:53:36.5881121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_bool PASSED [ 52%]
2023-01-11T21:53:36.5881546Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int32 PASSED [ 52%]
2023-01-11T21:53:36.5881988Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_bool PASSED [ 52%]
2023-01-11T21:53:36.5882419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16 PASSED [ 52%]
2023-01-11T21:53:36.5882851Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float64 PASSED [ 52%]
2023-01-11T21:53:36.5883256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_bool PASSED [ 52%]
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2023-01-11T21:53:36.5887873Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_bool PASSED [ 53%]
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2023-01-11T21:53:36.5890361Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 53%]
2023-01-11T21:53:36.5890798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32 PASSED [ 53%]
2023-01-11T21:53:36.5891225Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64 PASSED [ 54%]
2023-01-11T21:53:36.5891639Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32 PASSED [ 54%]
2023-01-11T21:53:36.5892064Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 54%]
2023-01-11T21:53:36.5892494Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64 PASSED [ 54%]
2023-01-11T21:53:36.5892916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float16 PASSED [ 54%]
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2023-01-11T21:53:36.5894177Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int32 PASSED [ 54%]
2023-01-11T21:53:36.5894574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64 PASSED [ 54%]
2023-01-11T21:53:36.5894990Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float64 PASSED [ 54%]
2023-01-11T21:53:36.5895399Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_bool PASSED [ 54%]
2023-01-11T21:53:36.5895803Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float32 PASSED [ 54%]
2023-01-11T21:53:36.5896197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float64 PASSED [ 54%]
2023-01-11T21:53:36.5896600Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int64 PASSED [ 54%]
2023-01-11T21:53:36.5897005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float16 PASSED [ 54%]
2023-01-11T21:53:36.5897416Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float64 PASSED [ 55%]
2023-01-11T21:53:36.5897815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int32 PASSED [ 55%]
2023-01-11T21:53:36.5898224Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int64 PASSED [ 55%]
2023-01-11T21:53:36.5898632Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float32 PASSED [ 55%]
2023-01-11T21:53:36.5899033Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int64 PASSED [ 55%]
2023-01-11T21:53:36.5899431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float32 PASSED [ 55%]
2023-01-11T21:53:36.5899865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float32 PASSED [ 55%]
2023-01-11T21:53:36.5900295Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float32 PASSED [ 55%]
2023-01-11T21:53:36.5900718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64 PASSED [ 55%]
2023-01-11T21:53:36.5901111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_bool PASSED [ 55%]
2023-01-11T21:53:36.5901542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float32 PASSED [ 55%]
2023-01-11T21:53:36.5901940Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float64 PASSED [ 55%]
2023-01-11T21:53:36.5902339Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int32 PASSED [ 55%]
2023-01-11T21:53:36.5902724Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float32 PASSED [ 55%]
2023-01-11T21:53:36.5903120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int32 PASSED [ 56%]
2023-01-11T21:53:36.5903513Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int64 PASSED [ 56%]
2023-01-11T21:53:36.5903898Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float64 PASSED [ 56%]
2023-01-11T21:53:36.5904308Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int64 PASSED [ 56%]
2023-01-11T21:53:36.5904716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_bool PASSED [ 56%]
2023-01-11T21:53:36.5905166Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float64 PASSED [ 56%]
2023-01-11T21:53:36.5905568Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_bool PASSED [ 56%]
2023-01-11T21:53:36.5905976Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_float16 PASSED [ 56%]
2023-01-11T21:53:36.5906379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_float32 PASSED [ 56%]
2023-01-11T21:53:36.5906782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_float64 PASSED [ 56%]
2023-01-11T21:53:36.5907173Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_int32 PASSED [ 56%]
2023-01-11T21:53:36.5907574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float32 PASSED [ 56%]
2023-01-11T21:53:36.5908040Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_int32 PASSED [ 56%]
2023-01-11T21:53:36.5908506Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_int64 PASSED [ 56%]
2023-01-11T21:53:36.5908889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_bool PASSED [ 57%]
2023-01-11T21:53:36.5909369Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_float16 PASSED [ 57%]
2023-01-11T21:53:36.5910048Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_float32 PASSED [ 57%]
2023-01-11T21:53:36.5910765Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_float64 PASSED [ 57%]
2023-01-11T21:53:36.5911450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int32 PASSED [ 57%]
2023-01-11T21:53:36.5912133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int64 PASSED [ 57%]
2023-01-11T21:53:36.5912943Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [ 57%]
2023-01-11T21:53:36.5913937Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 57%]
2023-01-11T21:53:36.5914830Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16 PASSED [ 57%]
2023-01-11T21:53:36.5915744Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32 PASSED [ 57%]
2023-01-11T21:53:36.5916765Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 57%]
2023-01-11T21:53:36.5917657Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float64 PASSED [ 57%]
2023-01-11T21:53:36.5918519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float64 PASSED [ 57%]
2023-01-11T21:53:36.5919387Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_int32 PASSED [ 57%]
2023-01-11T21:53:36.5920281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 58%]
2023-01-11T21:53:36.5921225Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 PASSED [ 58%]
2023-01-11T21:53:36.5922190Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float32 PASSED [ 58%]
2023-01-11T21:53:36.5923116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_int64 PASSED [ 58%]
2023-01-11T21:53:36.5924088Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float32 PASSED [ 58%]
2023-01-11T21:53:36.5924941Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float64 PASSED [ 58%]
2023-01-11T21:53:36.5925798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 58%]
2023-01-11T21:53:36.5926687Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_int64 PASSED [ 58%]
2023-01-11T21:53:36.5927587Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float32 PASSED [ 58%]
2023-01-11T21:53:36.5928474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_int64 PASSED [ 58%]
2023-01-11T21:53:36.5929357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bool PASSED [ 58%]
2023-01-11T21:53:36.5930270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 58%]
2023-01-11T21:53:36.5931181Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32 PASSED [ 58%]
2023-01-11T21:53:36.5932082Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int64 PASSED [ 58%]
2023-01-11T21:53:36.5932962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float64 PASSED [ 59%]
2023-01-11T21:53:36.5933864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cross_entropy_cpu_float32 PASSED [ 59%]
2023-01-11T21:53:36.5934752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cross_entropy_cpu_float64 PASSED [ 59%]
2023-01-11T21:53:36.5935617Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_ctc_loss_cpu_float64 PASSED [ 59%]
2023-01-11T21:53:36.5936453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout2d_cpu_float32 PASSED [ 59%]
2023-01-11T21:53:36.5937318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float32 PASSED [ 59%]
2023-01-11T21:53:36.5938168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float64 PASSED [ 59%]
2023-01-11T21:53:36.5939161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float16 PASSED [ 59%]
2023-01-11T21:53:36.5940030Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float64 PASSED [ 59%]
2023-01-11T21:53:36.5940915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float16 PASSED [ 59%]
2023-01-11T21:53:36.5941853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float16 PASSED [ 59%]
2023-01-11T21:53:36.5942838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [ 59%]
2023-01-11T21:53:36.5943800Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 59%]
2023-01-11T21:53:36.5944754Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int64 PASSED [ 59%]
2023-01-11T21:53:36.5945819Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5946749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 60%]
2023-01-11T21:53:36.5947666Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5948558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5949447Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 60%]
2023-01-11T21:53:36.5950316Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5951158Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float64 PASSED [ 60%]
2023-01-11T21:53:36.5952006Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float64 PASSED [ 60%]
2023-01-11T21:53:36.5952892Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_group_norm_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5953768Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardshrink_cpu_float64 PASSED [ 60%]
2023-01-11T21:53:36.5954716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardswish_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5955580Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5956447Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_int32 PASSED [ 60%]
2023-01-11T21:53:36.5957341Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float32 PASSED [ 60%]
2023-01-11T21:53:36.5958253Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5959121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float32 PASSED [ 61%]
2023-01-11T21:53:36.5959983Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5960961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_instance_norm_cpu_float32 PASSED [ 61%]
2023-01-11T21:53:36.5961838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_instance_norm_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5962727Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float32 PASSED [ 61%]
2023-01-11T21:53:36.5963747Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5964661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float32 PASSED [ 61%]
2023-01-11T21:53:36.5965573Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5966438Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_kl_div_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5967295Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float16 PASSED [ 61%]
2023-01-11T21:53:36.5968267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float32 PASSED [ 61%]
2023-01-11T21:53:36.5969121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float64 PASSED [ 61%]
2023-01-11T21:53:36.5969968Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float32 PASSED [ 61%]
2023-01-11T21:53:36.5970815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int64 PASSED [ 62%]
2023-01-11T21:53:36.5971676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5972590Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float64 PASSED [ 62%]
2023-01-11T21:53:36.5973468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5974350Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float64 PASSED [ 62%]
2023-01-11T21:53:36.5975212Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float64 PASSED [ 62%]
2023-01-11T21:53:36.5976070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5976928Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5977811Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float64 PASSED [ 62%]
2023-01-11T21:53:36.5978691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [ 62%]
2023-01-11T21:53:36.5979586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5980442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5981313Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float16 PASSED [ 62%]
2023-01-11T21:53:36.5982164Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float32 PASSED [ 62%]
2023-01-11T21:53:36.5983142Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float64 PASSED [ 63%]
2023-01-11T21:53:36.5984021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_margin_loss_cpu_float64 PASSED [ 63%]
2023-01-11T21:53:36.5984933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float64 PASSED [ 63%]
2023-01-11T21:53:36.5985870Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [ 63%]
2023-01-11T21:53:36.5986817Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 63%]
2023-01-11T21:53:36.5987694Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_nll_loss_cpu_float32 PASSED [ 63%]
2023-01-11T21:53:36.5988566Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_nll_loss_cpu_float64 PASSED [ 63%]
2023-01-11T21:53:36.5989412Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_one_hot_cpu_int64 PASSED [ 63%]
2023-01-11T21:53:36.5990347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float16 PASSED [ 63%]
2023-01-11T21:53:36.5991213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float32 PASSED [ 63%]
2023-01-11T21:53:36.5992084Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float16 PASSED [ 63%]
2023-01-11T21:53:36.5992965Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int64 PASSED [ 63%]
2023-01-11T21:53:36.5993909Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float32 PASSED [ 63%]
2023-01-11T21:53:36.5994764Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float64 PASSED [ 63%]
2023-01-11T21:53:36.5995646Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_float32 PASSED [ 63%]
2023-01-11T21:53:36.5996526Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_float64 PASSED [ 64%]
2023-01-11T21:53:36.5997418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float16 PASSED [ 64%]
2023-01-11T21:53:36.5998292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int32 PASSED [ 64%]
2023-01-11T21:53:36.5999196Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int64 PASSED [ 64%]
2023-01-11T21:53:36.6000069Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_bool PASSED [ 64%]
2023-01-11T21:53:36.6000965Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float32 PASSED [ 64%]
2023-01-11T21:53:36.6001839Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool PASSED [ 64%]
2023-01-11T21:53:36.6002735Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float32 PASSED [ 64%]
2023-01-11T21:53:36.6003739Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 64%]
2023-01-11T21:53:36.6004628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64 PASSED [ 64%]
2023-01-11T21:53:36.6005619Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 64%]
2023-01-11T21:53:36.6006495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float64 PASSED [ 64%]
2023-01-11T21:53:36.6007344Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int32 PASSED [ 64%]
2023-01-11T21:53:36.6008194Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float32 PASSED [ 64%]
2023-01-11T21:53:36.6009022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int32 PASSED [ 65%]
2023-01-11T21:53:36.6009867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float64 PASSED [ 65%]
2023-01-11T21:53:36.6010703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float64 PASSED [ 65%]
2023-01-11T21:53:36.6011562Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float16 PASSED [ 65%]
2023-01-11T21:53:36.6012516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float32 PASSED [ 65%]
2023-01-11T21:53:36.6013408Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 65%]
2023-01-11T21:53:36.6014303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float16 PASSED [ 65%]
2023-01-11T21:53:36.6015209Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 65%]
2023-01-11T21:53:36.6016089Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 65%]
2023-01-11T21:53:36.6016988Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int32 PASSED [ 65%]
2023-01-11T21:53:36.6017876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int64 PASSED [ 65%]
2023-01-11T21:53:36.6018749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float32 PASSED [ 65%]
2023-01-11T21:53:36.6019616Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float64 PASSED [ 65%]
2023-01-11T21:53:36.6020456Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float16 PASSED [ 65%]
2023-01-11T21:53:36.6021318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float64 PASSED [ 66%]
2023-01-11T21:53:36.6022192Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float64 PASSED [ 66%]
2023-01-11T21:53:36.6023057Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int64 PASSED [ 66%]
2023-01-11T21:53:36.6023900Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int32 PASSED [ 66%]
2023-01-11T21:53:36.6024762Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int64 PASSED [ 66%]
2023-01-11T21:53:36.6025639Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 66%]
2023-01-11T21:53:36.6026557Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int32 PASSED [ 66%]
2023-01-11T21:53:36.6027460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 66%]
2023-01-11T21:53:36.6028440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float16 PASSED [ 66%]
2023-01-11T21:53:36.6029302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float32 PASSED [ 66%]
2023-01-11T21:53:36.6030162Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float64 PASSED [ 66%]
2023-01-11T21:53:36.6031023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float32 PASSED [ 66%]
2023-01-11T21:53:36.6031941Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float64 PASSED [ 66%]
2023-01-11T21:53:36.6032831Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float32 PASSED [ 66%]
2023-01-11T21:53:36.6033686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float16 PASSED [ 67%]
2023-01-11T21:53:36.6034569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float32 PASSED [ 67%]
2023-01-11T21:53:36.6035464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float64 PASSED [ 67%]
2023-01-11T21:53:36.6036269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int32 PASSED [ 67%]
2023-01-11T21:53:36.6037060Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float16 PASSED [ 67%]
2023-01-11T21:53:36.6037878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float32 PASSED [ 67%]
2023-01-11T21:53:36.6038676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float64 PASSED [ 67%]
2023-01-11T21:53:36.6039478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float32 PASSED [ 67%]
2023-01-11T21:53:36.6040249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float64 PASSED [ 67%]
2023-01-11T21:53:36.6041070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float16 PASSED [ 67%]
2023-01-11T21:53:36.6041921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float32 PASSED [ 67%]
2023-01-11T21:53:36.6042758Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float64 PASSED [ 67%]
2023-01-11T21:53:36.6043693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float32 PASSED [ 67%]
2023-01-11T21:53:36.6044498Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float64 PASSED [ 67%]
2023-01-11T21:53:36.6045291Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_int32 PASSED [ 68%]
2023-01-11T21:53:36.6046080Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_bool PASSED [ 68%]
2023-01-11T21:53:36.6046870Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float64 PASSED [ 68%]
2023-01-11T21:53:36.6047675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int32 PASSED [ 68%]
2023-01-11T21:53:36.6048465Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int64 PASSED [ 68%]
2023-01-11T21:53:36.6049269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float32 PASSED [ 68%]
2023-01-11T21:53:36.6050046Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float64 PASSED [ 68%]
2023-01-11T21:53:36.6050966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_bool PASSED [ 68%]
2023-01-11T21:53:36.6051754Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float32 PASSED [ 68%]
2023-01-11T21:53:36.6052564Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float64 PASSED [ 68%]
2023-01-11T21:53:36.6053339Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_int64 PASSED [ 68%]
2023-01-11T21:53:36.6054137Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pca_lowrank_cpu_float64 PASSED [ 68%]
2023-01-11T21:53:36.6054951Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_bool PASSED [ 68%]
2023-01-11T21:53:36.6055756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float16 PASSED [ 68%]
2023-01-11T21:53:36.6056555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float32 PASSED [ 69%]
2023-01-11T21:53:36.6057363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float64 PASSED [ 69%]
2023-01-11T21:53:36.6058265Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int32 PASSED [ 69%]
2023-01-11T21:53:36.6059068Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float32 PASSED [ 69%]
2023-01-11T21:53:36.6059888Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float64 PASSED [ 69%]
2023-01-11T21:53:36.6060703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float32 PASSED [ 69%]
2023-01-11T21:53:36.6061552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32 PASSED [ 69%]
2023-01-11T21:53:36.6062404Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float64 PASSED [ 69%]
2023-01-11T21:53:36.6063277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_bool PASSED [ 69%]
2023-01-11T21:53:36.6064140Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_float32 PASSED [ 69%]
2023-01-11T21:53:36.6065008Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int32 PASSED [ 69%]
2023-01-11T21:53:36.6065852Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int64 PASSED [ 69%]
2023-01-11T21:53:36.6066708Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int64 PASSED [ 69%]
2023-01-11T21:53:36.6067564Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_bool PASSED [ 69%]
2023-01-11T21:53:36.6068436Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int64 PASSED [ 70%]
2023-01-11T21:53:36.6069288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_bool PASSED [ 70%]
2023-01-11T21:53:36.6070153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int32 PASSED [ 70%]
2023-01-11T21:53:36.6071006Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int64 PASSED [ 70%]
2023-01-11T21:53:36.6071837Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float16 PASSED [ 70%]
2023-01-11T21:53:36.6072627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int32 PASSED [ 70%]
2023-01-11T21:53:36.6073519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float32 PASSED [ 70%]
2023-01-11T21:53:36.6074383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_bool PASSED [ 70%]
2023-01-11T21:53:36.6075193Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float64 PASSED [ 70%]
2023-01-11T21:53:36.6075975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int64 PASSED [ 70%]
2023-01-11T21:53:36.6076756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_bool PASSED [ 70%]
2023-01-11T21:53:36.6077542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float16 PASSED [ 70%]
2023-01-11T21:53:36.6078333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float32 PASSED [ 70%]
2023-01-11T21:53:36.6079109Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float64 PASSED [ 70%]
2023-01-11T21:53:36.6079923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float32 PASSED [ 71%]
2023-01-11T21:53:36.6080814Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_bool PASSED [ 71%]
2023-01-11T21:53:36.6081604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float16 PASSED [ 71%]
2023-01-11T21:53:36.6082414Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float16 PASSED [ 71%]
2023-01-11T21:53:36.6083229Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float32 PASSED [ 71%]
2023-01-11T21:53:36.6084178Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float64 PASSED [ 71%]
2023-01-11T21:53:36.6084981Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float16 PASSED [ 71%]
2023-01-11T21:53:36.6085787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float64 PASSED [ 71%]
2023-01-11T21:53:36.6086586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int32 PASSED [ 71%]
2023-01-11T21:53:36.6087404Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float16 PASSED [ 71%]
2023-01-11T21:53:36.6088215Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int32 PASSED [ 71%]
2023-01-11T21:53:36.6089026Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float32 PASSED [ 71%]
2023-01-11T21:53:36.6089410Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float32 PASSED [ 71%]
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2023-01-11T21:53:36.6090562Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float16 PASSED [ 72%]
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2023-01-11T21:53:36.6092461Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int32 PASSED [ 72%]
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2023-01-11T21:53:36.6094107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_int64 PASSED [ 72%]
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2023-01-11T21:53:36.6094907Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16 PASSED [ 72%]
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2023-01-11T21:53:36.6096601Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_bool PASSED [ 73%]
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2023-01-11T21:53:36.6097763Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_bool PASSED [ 73%]
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2023-01-11T21:53:36.6099295Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool PASSED [ 73%]
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2023-01-11T21:53:36.6102001Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float16 PASSED [ 74%]
2023-01-11T21:53:36.6102376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16 PASSED [ 74%]
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2023-01-11T21:53:36.6104293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float32 PASSED [ 74%]
2023-01-11T21:53:36.6104672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float64 PASSED [ 74%]
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2023-01-11T21:53:36.6105440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float32 PASSED [ 74%]
2023-01-11T21:53:36.6105842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float32 PASSED [ 74%]
2023-01-11T21:53:36.6106231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float64 PASSED [ 74%]
2023-01-11T21:53:36.6106611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_bool PASSED [ 74%]
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2023-01-11T21:53:36.6107454Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64 PASSED [ 75%]
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2023-01-11T21:53:36.6108209Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float16 PASSED [ 75%]
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2023-01-11T21:53:36.6108955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float64 PASSED [ 75%]
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2023-01-11T21:53:36.6111631Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool PASSED [ 75%]
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2023-01-11T21:53:36.6112791Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32 PASSED [ 76%]
2023-01-11T21:53:36.6113169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int64 PASSED [ 76%]
2023-01-11T21:53:36.6113555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_bool PASSED [ 76%]
2023-01-11T21:53:36.6114053Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float16 PASSED [ 76%]
2023-01-11T21:53:36.6114469Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64 PASSED [ 76%]
2023-01-11T21:53:36.6114880Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int32 PASSED [ 76%]
2023-01-11T21:53:36.6115374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_bool PASSED [ 76%]
2023-01-11T21:53:36.6115792Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float16 PASSED [ 76%]
2023-01-11T21:53:36.6116201Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int32 PASSED [ 76%]
2023-01-11T21:53:36.6116610Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int64 PASSED [ 76%]
2023-01-11T21:53:36.6117011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int32 PASSED [ 76%]
2023-01-11T21:53:36.6117415Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int64 PASSED [ 76%]
2023-01-11T21:53:36.6117806Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_bool PASSED [ 76%]
2023-01-11T21:53:36.6118218Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_bool PASSED [ 77%]
2023-01-11T21:53:36.6118714Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float32 PASSED [ 77%]
2023-01-11T21:53:36.6119125Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float64 PASSED [ 77%]
2023-01-11T21:53:36.6119528Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int32 PASSED [ 77%]
2023-01-11T21:53:36.6119930Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int64 PASSED [ 77%]
2023-01-11T21:53:36.6120334Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float16 PASSED [ 77%]
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2023-01-11T21:53:36.6121544Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int32 PASSED [ 77%]
2023-01-11T21:53:36.6121947Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float32 PASSED [ 77%]
2023-01-11T21:53:36.6122363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float64 PASSED [ 77%]
2023-01-11T21:53:36.6122780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float16 PASSED [ 77%]
2023-01-11T21:53:36.6123193Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float64 PASSED [ 77%]
2023-01-11T21:53:36.6123706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int32 PASSED [ 77%]
2023-01-11T21:53:36.6124100Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int64 PASSED [ 78%]
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2023-01-11T21:53:36.6124903Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float32 PASSED [ 78%]
2023-01-11T21:53:36.6125293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float64 PASSED [ 78%]
2023-01-11T21:53:36.6125698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int32 PASSED [ 78%]
2023-01-11T21:53:36.6126203Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int64 PASSED [ 78%]
2023-01-11T21:53:36.6126576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_bool PASSED [ 78%]
2023-01-11T21:53:36.6126961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int32 PASSED [ 78%]
2023-01-11T21:53:36.6127335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int64 PASSED [ 78%]
2023-01-11T21:53:36.6127725Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float16 PASSED [ 78%]
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2023-01-11T21:53:36.6130516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_bool PASSED [ 79%]
2023-01-11T21:53:36.6130904Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float16 PASSED [ 79%]
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2023-01-11T21:53:36.6132845Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_bartlett_cpu_float64 PASSED [ 79%]
2023-01-11T21:53:36.6133256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_blackman_cpu_float32 PASSED [ 79%]
2023-01-11T21:53:36.6133669Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_blackman_cpu_float64 PASSED [ 79%]
2023-01-11T21:53:36.6134085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float64 PASSED [ 79%]
2023-01-11T21:53:36.6134519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float64 PASSED [ 79%]
2023-01-11T21:53:36.6134941Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float64 PASSED [ 79%]
2023-01-11T21:53:36.6135374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_cosine_cpu_float32 PASSED [ 80%]
2023-01-11T21:53:36.6135801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_cosine_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6136236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_hamming_cpu_float32 PASSED [ 80%]
2023-01-11T21:53:36.6136659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_hamming_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6137081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float32 PASSED [ 80%]
2023-01-11T21:53:36.6137556Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6137955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hann_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6138366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float32 PASSED [ 80%]
2023-01-11T21:53:36.6138783Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6139201Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_nuttall_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6139588Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_bool PASSED [ 80%]
2023-01-11T21:53:36.6139972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int64 PASSED [ 80%]
2023-01-11T21:53:36.6140349Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_bool PASSED [ 80%]
2023-01-11T21:53:36.6140801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float64 PASSED [ 80%]
2023-01-11T21:53:36.6141181Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int32 PASSED [ 81%]
2023-01-11T21:53:36.6141538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float32 PASSED [ 81%]
2023-01-11T21:53:36.6141904Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int32 PASSED [ 81%]
2023-01-11T21:53:36.6142272Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64 PASSED [ 81%]
2023-01-11T21:53:36.6142646Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float64 PASSED [ 81%]
2023-01-11T21:53:36.6143023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int32 PASSED [ 81%]
2023-01-11T21:53:36.6143391Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int64 PASSED [ 81%]
2023-01-11T21:53:36.6143715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float32 PASSED [ 81%]
2023-01-11T21:53:36.6143977Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int32 PASSED [ 81%]
2023-01-11T21:53:36.6144234Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int64 PASSED [ 81%]
2023-01-11T21:53:36.6144543Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float64 PASSED [ 81%]
2023-01-11T21:53:36.6144835Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int64 PASSED [ 81%]
2023-01-11T21:53:36.6145141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_bool PASSED [ 81%]
2023-01-11T21:53:36.6145450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float16 PASSED [ 81%]
2023-01-11T21:53:36.6145766Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float32 PASSED [ 81%]
2023-01-11T21:53:36.6146060Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float16 PASSED [ 82%]
2023-01-11T21:53:36.6146366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float32 PASSED [ 82%]
2023-01-11T21:53:36.6146659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int64 PASSED [ 82%]
2023-01-11T21:53:36.6146977Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float32 PASSED [ 82%]
2023-01-11T21:53:36.6147389Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_bool PASSED [ 82%]
2023-01-11T21:53:36.6147668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float32 PASSED [ 82%]
2023-01-11T21:53:36.6147995Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_int32 PASSED [ 82%]
2023-01-11T21:53:36.6148310Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_int64 PASSED [ 82%]
2023-01-11T21:53:36.6148628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_bool PASSED [ 82%]
2023-01-11T21:53:36.6148931Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float32 PASSED [ 82%]
2023-01-11T21:53:36.6149244Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float64 PASSED [ 82%]
2023-01-11T21:53:36.6149560Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int32 PASSED [ 82%]
2023-01-11T21:53:36.6149949Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int64 PASSED [ 82%]
2023-01-11T21:53:36.6150261Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_bool PASSED [ 82%]
2023-01-11T21:53:36.6150556Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float32 PASSED [ 83%]
2023-01-11T21:53:36.6150850Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int32 PASSED [ 83%]
2023-01-11T21:53:36.6151141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_bool PASSED [ 83%]
2023-01-11T21:53:36.6151458Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float64 PASSED [ 83%]
2023-01-11T21:53:36.6151776Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int32 PASSED [ 83%]
2023-01-11T21:53:36.6152069Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int64 PASSED [ 83%]
2023-01-11T21:53:36.6152370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_bool PASSED [ 83%]
2023-01-11T21:53:36.6152677Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float32 PASSED [ 83%]
2023-01-11T21:53:36.6152988Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float64 PASSED [ 83%]
2023-01-11T21:53:36.6153288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int64 PASSED [ 83%]
2023-01-11T21:53:36.6153624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int64 PASSED [ 83%]
2023-01-11T21:53:36.6154037Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_bool PASSED [ 83%]
2023-01-11T21:53:36.6154382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float32 PASSED [ 83%]
2023-01-11T21:53:36.6154717Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int32 PASSED [ 83%]
2023-01-11T21:53:36.6155482Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2023-01-11T21:53:36.6156121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2023-01-11T21:53:36.6156846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2023-01-11T21:53:36.6157478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2023-01-11T21:53:36.6158088Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2023-01-11T21:53:36.6158728Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2023-01-11T21:53:36.6159029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_float32 PASSED [ 84%]
2023-01-11T21:53:36.6159309Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int64 PASSED [ 84%]
2023-01-11T21:53:36.6159690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float32 PASSED [ 84%]
2023-01-11T21:53:36.6160014Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float64 PASSED [ 84%]
2023-01-11T21:53:36.6160354Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int64 PASSED [ 84%]
2023-01-11T21:53:36.6160668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_bool PASSED [ 84%]
2023-01-11T21:53:36.6161002Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float32 PASSED [ 84%]
2023-01-11T21:53:36.6161335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int32 PASSED [ 84%]
2023-01-11T21:53:36.6161667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int64 PASSED [ 85%]
2023-01-11T21:53:36.6161967Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_bool PASSED [ 85%]
2023-01-11T21:53:36.6162278Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float64 PASSED [ 85%]
2023-01-11T21:53:36.6162590Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int32 PASSED [ 85%]
2023-01-11T21:53:36.6162877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float32 PASSED [ 85%]
2023-01-11T21:53:36.6163172Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float64 PASSED [ 85%]
2023-01-11T21:53:36.6163818Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int32 PASSED [ 85%]
2023-01-11T21:53:36.6164157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int64 PASSED [ 85%]
2023-01-11T21:53:36.6164370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float64 PASSED [ 85%]
2023-01-11T21:53:36.6164574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int64 PASSED [ 85%]
2023-01-11T21:53:36.6164797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_bool PASSED [ 85%]
2023-01-11T21:53:36.6165017Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int32 PASSED [ 85%]
2023-01-11T21:53:36.6165671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%]
2023-01-11T21:53:36.6166096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%]
2023-01-11T21:53:36.6166506Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2023-01-11T21:53:36.6166715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float32 PASSED [ 86%]
2023-01-11T21:53:36.6166910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float64 PASSED [ 86%]
2023-01-11T21:53:36.6167117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int32 PASSED [ 86%]
2023-01-11T21:53:36.6167319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int64 PASSED [ 86%]
2023-01-11T21:53:36.6167589Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float64 PASSED [ 86%]
2023-01-11T21:53:36.6167808Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int32 PASSED [ 86%]
2023-01-11T21:53:36.6168021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_bool PASSED [ 86%]
2023-01-11T21:53:36.6168235Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64 PASSED [ 86%]
2023-01-11T21:53:36.6168445Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int64 PASSED [ 86%]
2023-01-11T21:53:36.6168665Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float32 PASSED [ 86%]
2023-01-11T21:53:36.6168876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float64 PASSED [ 86%]
2023-01-11T21:53:36.6169075Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int32 PASSED [ 86%]
2023-01-11T21:53:36.6169283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int64 PASSED [ 86%]
2023-01-11T21:53:36.6169498Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_bool PASSED [ 87%]
2023-01-11T21:53:36.6169712Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int32 PASSED [ 87%]
2023-01-11T21:53:36.6169916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float32 PASSED [ 87%]
2023-01-11T21:53:36.6170117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float64 PASSED [ 87%]
2023-01-11T21:53:36.6170316Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int32 PASSED [ 87%]
2023-01-11T21:53:36.6170509Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int64 PASSED [ 87%]
2023-01-11T21:53:36.6170701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_bool PASSED [ 87%]
2023-01-11T21:53:36.6170903Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float64 PASSED [ 87%]
2023-01-11T21:53:36.6171123Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 87%]
2023-01-11T21:53:36.6171383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32 PASSED [ 87%]
2023-01-11T21:53:36.6171607Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_bool PASSED [ 87%]
2023-01-11T21:53:36.6171830Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32 PASSED [ 87%]
2023-01-11T21:53:36.6172052Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32 PASSED [ 87%]
2023-01-11T21:53:36.6172266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_bool PASSED [ 87%]
2023-01-11T21:53:36.6172488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float32 PASSED [ 88%]
2023-01-11T21:53:36.6172712Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64 PASSED [ 88%]
2023-01-11T21:53:36.6172929Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32 PASSED [ 88%]
2023-01-11T21:53:36.6173397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6173825Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6174260Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6174669Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6175094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6175525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6175952Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2023-01-11T21:53:36.6176174Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64 PASSED [ 88%]
2023-01-11T21:53:36.6176389Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32 PASSED [ 88%]
2023-01-11T21:53:36.6176594Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int64 PASSED [ 88%]
2023-01-11T21:53:36.6176794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_bool PASSED [ 88%]
2023-01-11T21:53:36.6176995Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float32 PASSED [ 89%]
2023-01-11T21:53:36.6177191Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float64 PASSED [ 89%]
2023-01-11T21:53:36.6177390Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int32 PASSED [ 89%]
2023-01-11T21:53:36.6177638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float16 PASSED [ 89%]
2023-01-11T21:53:36.6177834Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float64 PASSED [ 89%]
2023-01-11T21:53:36.6178030Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int32 PASSED [ 89%]
2023-01-11T21:53:36.6178233Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_bool PASSED [ 89%]
2023-01-11T21:53:36.6178436Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float64 PASSED [ 89%]
2023-01-11T21:53:36.6178637Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int64 PASSED [ 89%]
2023-01-11T21:53:36.6178841Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float16 PASSED [ 89%]
2023-01-11T21:53:36.6179047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float32 PASSED [ 89%]
2023-01-11T21:53:36.6179246Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float64 PASSED [ 89%]
2023-01-11T21:53:36.6179478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int32 PASSED [ 89%]
2023-01-11T21:53:36.6179662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float64 PASSED [ 89%]
2023-01-11T21:53:36.6179855Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int32 PASSED [ 90%]
2023-01-11T21:53:36.6180045Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int64 PASSED [ 90%]
2023-01-11T21:53:36.6180240Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float16 PASSED [ 90%]
2023-01-11T21:53:36.6180440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float64 PASSED [ 90%]
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2023-01-11T21:53:36.6180827Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_bool PASSED [ 90%]
2023-01-11T21:53:36.6181021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float16 PASSED [ 90%]
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2023-01-11T21:53:36.6181975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16 PASSED [ 90%]
2023-01-11T21:53:36.6182169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float32 PASSED [ 90%]
2023-01-11T21:53:36.6182360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float64 PASSED [ 90%]
2023-01-11T21:53:36.6182566Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float16 PASSED [ 90%]
2023-01-11T21:53:36.6182771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float32 PASSED [ 91%]
2023-01-11T21:53:36.6182961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float16 PASSED [ 91%]
2023-01-11T21:53:36.6183202Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float32 PASSED [ 91%]
2023-01-11T21:53:36.6183381Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float64 PASSED [ 91%]
2023-01-11T21:53:36.6183574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int32 PASSED [ 91%]
2023-01-11T21:53:36.6183761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float32 PASSED [ 91%]
2023-01-11T21:53:36.6183950Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int32 PASSED [ 91%]
2023-01-11T21:53:36.6184150Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float16 PASSED [ 91%]
2023-01-11T21:53:36.6184347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int32 PASSED [ 91%]
2023-01-11T21:53:36.6184540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int64 PASSED [ 91%]
2023-01-11T21:53:36.6184738Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float32 PASSED [ 91%]
2023-01-11T21:53:36.6184928Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_bool PASSED [ 91%]
2023-01-11T21:53:36.6185137Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float16 PASSED [ 91%]
2023-01-11T21:53:36.6185330Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float32 PASSED [ 91%]
2023-01-11T21:53:36.6185518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int32 PASSED [ 92%]
2023-01-11T21:53:36.6185722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float64 PASSED [ 92%]
2023-01-11T21:53:36.6185921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int32 PASSED [ 92%]
2023-01-11T21:53:36.6186113Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_bool PASSED [ 92%]
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2023-01-11T21:53:36.6186495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int32 PASSED [ 92%]
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2023-01-11T21:53:36.6187055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int32 PASSED [ 92%]
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2023-01-11T21:53:36.6187446Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_bool PASSED [ 92%]
2023-01-11T21:53:36.6187647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16 PASSED [ 92%]
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2023-01-11T21:53:36.6188047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float64 PASSED [ 92%]
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2023-01-11T21:53:36.6188442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int64 PASSED [ 93%]
2023-01-11T21:53:36.6188632Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_bool PASSED [ 93%]
2023-01-11T21:53:36.6188847Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float16 PASSED [ 93%]
2023-01-11T21:53:36.6189039Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float64 PASSED [ 93%]
2023-01-11T21:53:36.6189228Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int32 PASSED [ 93%]
2023-01-11T21:53:36.6189418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_bool PASSED [ 93%]
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2023-01-11T21:53:36.6190174Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_bool PASSED [ 93%]
2023-01-11T21:53:36.6190374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float16 PASSED [ 93%]
2023-01-11T21:53:36.6190587Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float32 PASSED [ 93%]
2023-01-11T21:53:36.6190780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64 PASSED [ 93%]
2023-01-11T21:53:36.6190974Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32 PASSED [ 94%]
2023-01-11T21:53:36.6191169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float64 PASSED [ 94%]
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2023-01-11T21:53:36.6191753Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_bool PASSED [ 94%]
2023-01-11T21:53:36.6191949Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float16 PASSED [ 94%]
2023-01-11T21:53:36.6192145Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float64 PASSED [ 94%]
2023-01-11T21:53:36.6192327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float16 PASSED [ 94%]
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2023-01-11T21:53:36.6193094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_bool PASSED [ 94%]
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2023-01-11T21:53:36.6193674Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_bool PASSED [ 95%]
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2023-01-11T21:53:36.6194128Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64 PASSED [ 95%]
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2023-01-11T21:53:36.6194999Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float64 PASSED [ 95%]
2023-01-11T21:53:36.6195190Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float64 PASSED [ 95%]
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2023-01-11T21:53:36.6195753Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_bool PASSED [ 95%]
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2023-01-11T21:53:36.6198804Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float16 PASSED [ 96%]
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2023-01-11T21:53:36.6199266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64 PASSED [ 96%]
2023-01-11T21:53:36.6199473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32 PASSED [ 97%]
2023-01-11T21:53:36.6199678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64 PASSED [ 97%]
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2023-01-11T21:53:36.6201837Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float32 PASSED [ 97%]
2023-01-11T21:53:36.6202057Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64 PASSED [ 97%]
2023-01-11T21:53:36.6202263Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32 PASSED [ 98%]
2023-01-11T21:53:36.6202452Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool PASSED [ 98%]
2023-01-11T21:53:36.6202648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32 PASSED [ 98%]
2023-01-11T21:53:36.6202839Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int32 PASSED [ 98%]
2023-01-11T21:53:36.6203038Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16 PASSED [ 98%]
2023-01-11T21:53:36.6203231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float32 PASSED [ 98%]
2023-01-11T21:53:36.6203604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64 PASSED [ 98%]
2023-01-11T21:53:36.6203799Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_bool PASSED [ 98%]
2023-01-11T21:53:36.6203978Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64 PASSED [ 98%]
2023-01-11T21:53:36.6204169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool PASSED [ 98%]
2023-01-11T21:53:36.6204361Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16 PASSED [ 98%]
2023-01-11T21:53:36.6204555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32 PASSED [ 98%]
2023-01-11T21:53:36.6204750Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64 PASSED [ 98%]
2023-01-11T21:53:36.6204943Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_bool PASSED [ 98%]
2023-01-11T21:53:36.6205135Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16 PASSED [ 99%]
2023-01-11T21:53:36.6207065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int64 PASSED [ 99%]
2023-01-11T21:53:36.6207395Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16 PASSED [ 99%]
2023-01-11T21:53:36.6207686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float32 PASSED [ 99%]
2023-01-11T21:53:36.6207967Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int64 PASSED [ 99%]
2023-01-11T21:53:36.6208324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_bool PASSED [ 99%]
2023-01-11T21:53:36.6208579Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16 PASSED [ 99%]
2023-01-11T21:53:36.6208851Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float32 PASSED [ 99%]
2023-01-11T21:53:36.6209050Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16 PASSED [ 99%]
2023-01-11T21:53:36.6209283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool PASSED [ 99%]
2023-01-11T21:53:36.6209478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int32 PASSED [ 99%]
2023-01-11T21:53:36.6209678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16 PASSED [ 99%]
2023-01-11T21:53:36.6209876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float64 PASSED [ 99%]
2023-01-11T21:53:36.6210061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int32 PASSED [ 99%]
2023-01-11T21:53:36.6210776Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2023-01-11T21:53:36.6210796Z 
2023-01-11T21:53:36.6210802Z 
2023-01-11T21:53:36.6210904Z =============================== warnings summary ===============================
2023-01-11T21:53:36.6211119Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2023-01-11T21:53:36.6211478Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2023-01-11T21:53:36.6211578Z     self._mark_plugins_for_rewrite(hook)
2023-01-11T21:53:36.6211584Z 
2023-01-11T21:53:36.6211814Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2023-01-11T21:53:36.6212204Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-beeb6f1ec248a088.xml -
2023-01-11T21:53:36.6212338Z ==== 1340 passed, 71 skipped, 2 deselected, 1 warning in 1066.70s (0:17:46) ====
2023-01-11T21:53:36.6212508Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2023-01-11T21:53:36.6212514Z 
2023-01-11T21:53:36.6212802Z ##[endgroup]
2023-01-11T21:53:36.6213152Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_krx34f1h)
2023-01-11T21:53:36.6213160Z 
2023-01-11T21:53:36.9538205Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:53:36.953410]
2023-01-11T21:53:47.1838210Z 
2023-01-11T21:53:47.1838736Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2023-01-11T21:53:47.1839923Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_bdq4787q)
2023-01-11T21:53:47.1841044Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T21:53:47.1841632Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-58e19ef892a23c17.xml
2023-01-11T21:53:47.1842034Z ============================= test session starts ==============================
2023-01-11T21:53:47.1842470Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T21:53:47.1842734Z cachedir: .pytest_cache
2023-01-11T21:53:47.1843184Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2023-01-11T21:53:47.1843736Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T21:53:47.1844153Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T21:53:47.1844589Z collecting ... collected 2739 items / 2735 deselected / 4 selected
2023-01-11T21:53:47.1845441Z Running 4 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float64
2023-01-11T21:53:47.1846127Z 
2023-01-11T21:53:47.1846342Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32 PASSED [ 25%]
2023-01-11T21:53:47.1846838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float64 PASSED [ 50%]
2023-01-11T21:53:47.1847264Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32 PASSED [ 75%]
2023-01-11T21:53:47.1848318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float64 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2023-01-11T21:53:47.1848999Z 
2023-01-11T21:53:47.1849005Z 
2023-01-11T21:53:47.1849162Z =============================== warnings summary ===============================
2023-01-11T21:53:47.1849539Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2023-01-11T21:53:47.1850058Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2023-01-11T21:53:47.1850413Z     self._mark_plugins_for_rewrite(hook)
2023-01-11T21:53:47.1850542Z 
2023-01-11T21:53:47.1850764Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2023-01-11T21:53:47.1851398Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-58e19ef892a23c17.xml -
2023-01-11T21:53:47.1851836Z ================ 4 passed, 2735 deselected, 1 warning in 1.02s =================
2023-01-11T21:53:47.1852210Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2023-01-11T21:53:47.1852409Z 
2023-01-11T21:53:47.1852644Z ##[endgroup]
2023-01-11T21:53:47.1853090Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_bdq4787q)
2023-01-11T21:53:47.1853343Z 
2023-01-11T21:53:47.1853512Z Running test_sparse_csr ... [2023-01-11 21:53:47.184702]
2023-01-11T21:53:47.1853960Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse_csr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:53:47.185038]
2023-01-11T21:58:19.8928247Z 
2023-01-11T21:58:19.8928634Z Expand the folded group to see the log file of test_sparse_csr
2023-01-11T21:58:19.8930774Z ##[group]PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_6or6_av5)
2023-01-11T21:58:19.8934820Z Test results will be stored in test-reports/python-unittest/test_sparse_csr
2023-01-11T21:58:19.8935329Z 
2023-01-11T21:58:19.8935446Z Running tests...
2023-01-11T21:58:19.9004617Z ----------------------------------------------------------------------
2023-01-11T21:58:19.9006142Z   test_add_cpu_float32 (__main__.TestSparseCSRCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:2430: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T21:58:19.9007066Z   values, size=size, dtype=dtype, layout=layout, device=device)
2023-01-11T21:58:19.9007288Z ok (0.064s)
2023-01-11T21:58:19.9007519Z   test_add_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.042s)
2023-01-11T21:58:19.9007934Z   test_addmm_all_sparse_csr_SparseCSC_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.033s)
2023-01-11T21:58:19.9008353Z   test_addmm_all_sparse_csr_SparseCSC_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.036s)
2023-01-11T21:58:19.9008944Z   test_addmm_all_sparse_csr_SparseCSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.031s)
2023-01-11T21:58:19.9009521Z   test_addmm_all_sparse_csr_SparseCSC_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.028s)
2023-01-11T21:58:19.9010106Z   test_addmm_all_sparse_csr_SparseCSR_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.026s)
2023-01-11T21:58:19.9010747Z   test_addmm_all_sparse_csr_SparseCSR_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.026s)
2023-01-11T21:58:19.9011351Z   test_addmm_all_sparse_csr_SparseCSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.025s)
2023-01-11T21:58:19.9011948Z   test_addmm_all_sparse_csr_SparseCSR_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.024s)
2023-01-11T21:58:19.9012498Z   test_addmm_dense_result_SparseCSC_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.026s)
2023-01-11T21:58:19.9013206Z   test_addmm_dense_result_SparseCSC_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.024s)
2023-01-11T21:58:19.9013954Z   test_addmm_dense_result_SparseCSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.024s)
2023-01-11T21:58:19.9014681Z   test_addmm_dense_result_SparseCSC_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.022s)
2023-01-11T21:58:19.9015389Z   test_addmm_dense_result_SparseCSR_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.020s)
2023-01-11T21:58:19.9016119Z   test_addmm_dense_result_SparseCSR_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.020s)
2023-01-11T21:58:19.9016846Z   test_addmm_dense_result_SparseCSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.019s)
2023-01-11T21:58:19.9017541Z   test_addmm_dense_result_SparseCSR_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.018s)
2023-01-11T21:58:19.9035333Z   test_addmm_errors_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.030s)
2023-01-11T21:58:19.9035990Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9036651Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9037283Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9037884Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9038228Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9038682Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9039025Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9039349Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9039684Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9040094Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9040431Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9042766Z   test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9043550Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9044147Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9044725Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9045318Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9045906Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9046540Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9047104Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9047646Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9048298Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9048948Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9049517Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9050082Z   test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9050673Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9051269Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9051830Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9052410Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9053031Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9053665Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9054256Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9055317Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9055661Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9056004Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9056343Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9056660Z   test_addmm_sizes_all_sparse_csr_k_0_n_1_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9057123Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9057466Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9057787Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9058118Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9058507Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9058843Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9059165Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9059498Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9059830Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9060169Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9060492Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9060826Z   test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9061162Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9061506Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9061828Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9062158Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9062499Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9062824Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9063157Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9063491Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9063828Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9064155Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9064491Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9064827Z   test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9065163Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9065484Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9065819Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9066152Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9066468Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9066804Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9067139Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9067501Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9067826Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9068160Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9068495Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9068856Z   test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9069233Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9069570Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9069905Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9070243Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9070559Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9070893Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9071227Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9071542Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9071875Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9072211Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9072547Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9072865Z   test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9073198Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9073534Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9073869Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9074275Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9074607Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9074948Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9075271Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9075601Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9075938Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9076277Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9076602Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9076934Z   test_addmm_sizes_all_sparse_csr_k_8_n_10_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9077272Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9077606Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9077964Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9078295Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_0_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9078626Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9078964Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9079320Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9079650Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9079980Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9080304Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9080642Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9080976Z   test_addmm_sizes_all_sparse_csr_k_8_n_1_m_25_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9081302Z   test_autograd_dense_output_addmm_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.030s)
2023-01-11T21:58:19.9081619Z   test_autograd_dense_output_addmv_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.027s)
2023-01-11T21:58:19.9081943Z   test_autograd_dense_output_mm_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9082263Z   test_autograd_dense_output_mv_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9082593Z   test_autograd_sparse_csr_unary_abs_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9082912Z   test_autograd_sparse_csr_unary_abs_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9083326Z   test_autograd_sparse_csr_unary_angle_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op angle not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9084205Z   test_autograd_sparse_csr_unary_angle_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op angle not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9085011Z   test_autograd_sparse_csr_unary_asin_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op asin not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9085700Z   test_autograd_sparse_csr_unary_asin_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op asin not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9086551Z   test_autograd_sparse_csr_unary_asinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op asinh not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9087174Z   test_autograd_sparse_csr_unary_asinh_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op asinh not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9087784Z   test_autograd_sparse_csr_unary_atan_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op atan not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9088238Z   test_autograd_sparse_csr_unary_atan_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op atan not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9088801Z   test_autograd_sparse_csr_unary_atanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op atanh not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9089692Z   test_autograd_sparse_csr_unary_atanh_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op atanh not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9090262Z   test_autograd_sparse_csr_unary_ceil_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op ceil not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9090676Z   test_autograd_sparse_csr_unary_conj_physical_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9091018Z   test_autograd_sparse_csr_unary_conj_physical_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9091367Z   test_autograd_sparse_csr_unary_deg2rad_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9091839Z   test_autograd_sparse_csr_unary_erf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op erf not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9092309Z   test_autograd_sparse_csr_unary_erfinv_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op erfinv not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9092770Z   test_autograd_sparse_csr_unary_expm1_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op expm1 not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9093244Z   test_autograd_sparse_csr_unary_floor_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op floor not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9093640Z   test_autograd_sparse_csr_unary_frac_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9094046Z   test_autograd_sparse_csr_unary_isinf_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op isinf not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9094507Z   test_autograd_sparse_csr_unary_isinf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op isinf not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9094977Z   test_autograd_sparse_csr_unary_isnan_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op isnan not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9095449Z   test_autograd_sparse_csr_unary_isnan_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op isnan not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9095924Z   test_autograd_sparse_csr_unary_isneginf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op isneginf not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9096394Z   test_autograd_sparse_csr_unary_isposinf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op isposinf not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9097429Z   test_autograd_sparse_csr_unary_log1p_cpu_complex128 (__main__.TestSparseCSRCPU) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: log1p_backward: received self with sparse layout, but backward requires materialization of a dense tensor with this shape (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/FunctionsManual.cpp:4679.)
2023-01-11T21:58:19.9098107Z   allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
2023-01-11T21:58:19.9098365Z ok (0.003s)
2023-01-11T21:58:19.9098622Z   test_autograd_sparse_csr_unary_log1p_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9098948Z   test_autograd_sparse_csr_unary_neg_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9099280Z   test_autograd_sparse_csr_unary_neg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9099631Z   test_autograd_sparse_csr_unary_nn_functional_relu_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9099985Z   test_autograd_sparse_csr_unary_positive_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9100319Z   test_autograd_sparse_csr_unary_positive_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9100658Z   test_autograd_sparse_csr_unary_rad2deg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9101131Z   test_autograd_sparse_csr_unary_round_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op round not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9101604Z   test_autograd_sparse_csr_unary_sgn_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sgn not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9102058Z   test_autograd_sparse_csr_unary_sgn_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sgn not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9102550Z   test_autograd_sparse_csr_unary_sign_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sign not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9103019Z   test_autograd_sparse_csr_unary_signbit_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op signbit not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9103493Z   test_autograd_sparse_csr_unary_sin_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sin not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9103943Z   test_autograd_sparse_csr_unary_sin_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sin not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9104405Z   test_autograd_sparse_csr_unary_sinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sinh not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9104873Z   test_autograd_sparse_csr_unary_sinh_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sinh not supported with CSR input and autograd (0.002s)
2023-01-11T21:58:19.9105331Z   test_autograd_sparse_csr_unary_sqrt_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sqrt not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9105801Z   test_autograd_sparse_csr_unary_sqrt_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op sqrt not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9106255Z   test_autograd_sparse_csr_unary_tan_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op tan not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9106716Z   test_autograd_sparse_csr_unary_tan_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op tan not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9107178Z   test_autograd_sparse_csr_unary_tanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op tanh not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9107643Z   test_autograd_sparse_csr_unary_tanh_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op tanh not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9108093Z   test_autograd_sparse_csr_unary_trunc_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Unary op trunc not supported with CSR input and autograd (0.001s)
2023-01-11T21:58:19.9108507Z   test_baddbmm_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9108859Z   test_baddbmm_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9109203Z   test_baddbmm_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9109534Z   test_baddbmm_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9109901Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.052s)
2023-01-11T21:58:19.9110279Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.052s)
2023-01-11T21:58:19.9110651Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.049s)
2023-01-11T21:58:19.9111001Z   test_block_addmm_block_size_2_int32_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.046s)
2023-01-11T21:58:19.9111397Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.055s)
2023-01-11T21:58:19.9111769Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.055s)
2023-01-11T21:58:19.9112136Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.050s)
2023-01-11T21:58:19.9112512Z   test_block_addmm_block_size_2_int32_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.049s)
2023-01-11T21:58:19.9112896Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.054s)
2023-01-11T21:58:19.9113266Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.056s)
2023-01-11T21:58:19.9113634Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.050s)
2023-01-11T21:58:19.9114058Z   test_block_addmm_block_size_2_int64_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.049s)
2023-01-11T21:58:19.9114429Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.058s)
2023-01-11T21:58:19.9114797Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.058s)
2023-01-11T21:58:19.9115153Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.053s)
2023-01-11T21:58:19.9115511Z   test_block_addmm_block_size_2_int64_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.052s)
2023-01-11T21:58:19.9115875Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.054s)
2023-01-11T21:58:19.9116244Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.054s)
2023-01-11T21:58:19.9116599Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.048s)
2023-01-11T21:58:19.9116963Z   test_block_addmm_block_size_3_int32_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.046s)
2023-01-11T21:58:19.9117330Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.057s)
2023-01-11T21:58:19.9117699Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.058s)
2023-01-11T21:58:19.9118052Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.051s)
2023-01-11T21:58:19.9118413Z   test_block_addmm_block_size_3_int32_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.050s)
2023-01-11T21:58:19.9118782Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.058s)
2023-01-11T21:58:19.9119155Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.057s)
2023-01-11T21:58:19.9119509Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.051s)
2023-01-11T21:58:19.9119865Z   test_block_addmm_block_size_3_int64_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.049s)
2023-01-11T21:58:19.9120229Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.062s)
2023-01-11T21:58:19.9120598Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.060s)
2023-01-11T21:58:19.9120945Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.054s)
2023-01-11T21:58:19.9121300Z   test_block_addmm_block_size_3_int64_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.053s)
2023-01-11T21:58:19.9121697Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9122054Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9122420Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9122779Z   test_block_addmv_block_size_2_int32_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9123175Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9123686Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9124218Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9124582Z   test_block_addmv_block_size_2_int32_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9125093Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9125750Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9126344Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9126971Z   test_block_addmv_block_size_2_int64_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9127626Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9128196Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9128849Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9129514Z   test_block_addmv_block_size_2_int64_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9130197Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9130815Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9131444Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9132016Z   test_block_addmv_block_size_3_int32_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9132596Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9133258Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9133937Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9134606Z   test_block_addmv_block_size_3_int32_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9135264Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9135870Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9136465Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9137049Z   test_block_addmv_block_size_3_int64_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9137655Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9138457Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9139142Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9139807Z   test_block_addmv_block_size_3_int64_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9140844Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... test_sparse_csr.py:1621: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2023-01-11T21:58:19.9141847Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2023-01-11T21:58:19.9142392Z X = torch.triangular_solve(B, A).solution
2023-01-11T21:58:19.9142775Z should be replaced with
2023-01-11T21:58:19.9143394Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2225.)
2023-01-11T21:58:19.9143936Z   unitriangular=unitriangular)
2023-01-11T21:58:19.9144126Z ok (0.014s)
2023-01-11T21:58:19.9144400Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.014s)
2023-01-11T21:58:19.9144792Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9145181Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9145568Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9145945Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9146335Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9146717Z   test_block_triangular_solve_block_size_2_int32_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9147100Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9147482Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9147873Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9148256Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9148643Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9149021Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9149405Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9149786Z   test_block_triangular_solve_block_size_2_int64_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9150171Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9150550Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9150937Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9151367Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9151753Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9152129Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9152550Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9152933Z   test_block_triangular_solve_block_size_3_int32_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9153313Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9153689Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9154158Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9154544Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_False_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9154928Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9155309Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9155692Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9156076Z   test_block_triangular_solve_block_size_3_int64_noncontiguous_True_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9156433Z   test_bmm_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9156760Z   test_bmm_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9157097Z   test_bmm_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9157426Z   test_bmm_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.002s)
2023-01-11T21:58:19.9157776Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseBSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9158106Z This test performs a smoke test for covered conversion and verifies ... ok (0.034s)
2023-01-11T21:58:19.9158451Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseBSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9158786Z This test performs a smoke test for covered conversion and verifies ... ok (0.034s)
2023-01-11T21:58:19.9159113Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseCSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9159447Z This test performs a smoke test for covered conversion and verifies ... ok (0.017s)
2023-01-11T21:58:19.9159784Z   test_compressed_layout_conversions_coverage_SparseBSC_SparseCSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9160119Z This test performs a smoke test for covered conversion and verifies ... ok (0.017s)
2023-01-11T21:58:19.9160443Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseBSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9160772Z This test performs a smoke test for covered conversion and verifies ... ok (0.034s)
2023-01-11T21:58:19.9161105Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseBSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9161429Z This test performs a smoke test for covered conversion and verifies ... ok (0.033s)
2023-01-11T21:58:19.9161766Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseCSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9162135Z This test performs a smoke test for covered conversion and verifies ... ok (0.017s)
2023-01-11T21:58:19.9162470Z   test_compressed_layout_conversions_coverage_SparseBSR_SparseCSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9162790Z This test performs a smoke test for covered conversion and verifies ... ok (0.014s)
2023-01-11T21:58:19.9163122Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseBSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9163676Z This test performs a smoke test for covered conversion and verifies ... ok (0.017s)
2023-01-11T21:58:19.9164189Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseBSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9164725Z This test performs a smoke test for covered conversion and verifies ... ok (0.017s)
2023-01-11T21:58:19.9165279Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseCSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9165819Z This test performs a smoke test for covered conversion and verifies ... ok (0.004s)
2023-01-11T21:58:19.9166417Z   test_compressed_layout_conversions_coverage_SparseCSC_SparseCSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9167044Z This test performs a smoke test for covered conversion and verifies ... ok (0.004s)
2023-01-11T21:58:19.9167629Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseBSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9168180Z This test performs a smoke test for covered conversion and verifies ... ok (0.018s)
2023-01-11T21:58:19.9168735Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseBSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9169330Z This test performs a smoke test for covered conversion and verifies ... ok (0.017s)
2023-01-11T21:58:19.9169962Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseCSC_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9170534Z This test performs a smoke test for covered conversion and verifies ... ok (0.004s)
2023-01-11T21:58:19.9170872Z   test_compressed_layout_conversions_coverage_SparseCSR_SparseCSR_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9171202Z This test performs a smoke test for covered conversion and verifies ... ok (0.004s)
2023-01-11T21:58:19.9171626Z   test_coo_csr_conversion_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9172061Z   test_coo_csr_conversion_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9172550Z   test_coo_csr_conversion_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9173044Z   test_coo_csr_conversion_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9173524Z   test_coo_csr_conversion_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9173981Z   test_coo_csr_conversion_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9174468Z   test_coo_csr_conversion_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9174952Z   test_coo_csr_conversion_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9175405Z   test_coo_csr_conversion_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9175869Z   test_coo_csr_conversion_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9176344Z   test_coo_csr_conversion_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9176808Z   test_coo_csr_conversion_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9177251Z   test_coo_to_csr_convert_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9177721Z   test_csr_coo_conversion_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9178190Z   test_csr_coo_conversion_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9178653Z   test_csr_coo_conversion_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9179133Z   test_csr_coo_conversion_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9179744Z   test_csr_coo_conversion_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9180212Z   test_csr_coo_conversion_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9180666Z   test_csr_coo_conversion_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9181140Z   test_csr_coo_conversion_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9181654Z   test_csr_coo_conversion_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9182102Z   test_csr_coo_conversion_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9182539Z   test_csr_coo_conversion_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9183012Z   test_csr_coo_conversion_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9183487Z   test_csr_double_to_sparse_csr_cpu (__main__.TestSparseCSRCPU) ... ok (0.001s)
2023-01-11T21:58:19.9183954Z   test_csr_is_contiguous_cpu (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9184418Z   test_csr_matvec_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.024s)
2023-01-11T21:58:19.9184880Z   test_csr_matvec_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.023s)
2023-01-11T21:58:19.9185335Z   test_csr_matvec_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.021s)
2023-01-11T21:58:19.9185777Z   test_csr_matvec_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.021s)
2023-01-11T21:58:19.9186701Z   test_csr_storage_cpu (__main__.TestSparseCSRCPU) ... test_sparse_csr.py:924: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T21:58:19.9187483Z   a.storage()
2023-01-11T21:58:19.9187738Z ok (0.002s)
2023-01-11T21:58:19.9188067Z   test_csr_stride_cpu (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9188550Z   test_csr_to_block_csr_blocksize_2_cpu_float64_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9189061Z   test_csr_to_block_csr_blocksize_2_cpu_float64_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9189558Z   test_csr_to_block_csr_blocksize_4_cpu_float64_int32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9190073Z   test_csr_to_block_csr_blocksize_4_cpu_float64_int64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9190571Z   test_csr_to_block_csr_errors_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.018s)
2023-01-11T21:58:19.9191094Z   test_dense_to_from_sparse_compressed_SparseBSC_Batched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9191565Z This test tests conversion from dense to/from CSR and CSC ... ok (0.012s)
2023-01-11T21:58:19.9192067Z   test_dense_to_from_sparse_compressed_SparseBSC_Batched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9192581Z This test tests conversion from dense to/from CSR and CSC ... ok (0.246s)
2023-01-11T21:58:19.9193133Z   test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9193636Z This test tests conversion from dense to/from CSR and CSC ... ok (0.011s)
2023-01-11T21:58:19.9194224Z   test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9194741Z This test tests conversion from dense to/from CSR and CSC ... ok (0.018s)
2023-01-11T21:58:19.9195228Z   test_dense_to_from_sparse_compressed_SparseBSR_Batched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9195736Z This test tests conversion from dense to/from CSR and CSC ... ok (0.012s)
2023-01-11T21:58:19.9196273Z   test_dense_to_from_sparse_compressed_SparseBSR_Batched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9196838Z This test tests conversion from dense to/from CSR and CSC ... ok (0.228s)
2023-01-11T21:58:19.9197486Z   test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9197992Z This test tests conversion from dense to/from CSR and CSC ... ok (0.011s)
2023-01-11T21:58:19.9198328Z   test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9198641Z This test tests conversion from dense to/from CSR and CSC ... ok (0.018s)
2023-01-11T21:58:19.9199013Z   test_dense_to_from_sparse_compressed_SparseCSC_Batched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9199384Z This test tests conversion from dense to/from CSR and CSC ... ok (0.013s)
2023-01-11T21:58:19.9199712Z   test_dense_to_from_sparse_compressed_SparseCSC_Batched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9200017Z This test tests conversion from dense to/from CSR and CSC ... ok (0.069s)
2023-01-11T21:58:19.9200344Z   test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9200665Z This test tests conversion from dense to/from CSR and CSC ... ok (0.012s)
2023-01-11T21:58:19.9200983Z   test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9201312Z This test tests conversion from dense to/from CSR and CSC ... ok (0.010s)
2023-01-11T21:58:19.9201676Z   test_dense_to_from_sparse_compressed_SparseCSR_Batched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9201978Z This test tests conversion from dense to/from CSR and CSC ... ok (0.012s)
2023-01-11T21:58:19.9202399Z   test_dense_to_from_sparse_compressed_SparseCSR_Batched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9202948Z This test tests conversion from dense to/from CSR and CSC ... ok (0.068s)
2023-01-11T21:58:19.9203585Z   test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_Hybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9204077Z This test tests conversion from dense to/from CSR and CSC ... ok (0.012s)
2023-01-11T21:58:19.9204666Z   test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_NonHybrid_cpu (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9205175Z This test tests conversion from dense to/from CSR and CSC ... ok (0.010s)
2023-01-11T21:58:19.9205525Z   test_direct_coo_csr_conversion_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9205860Z   test_direct_coo_csr_conversion_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9206189Z   test_direct_coo_csr_conversion_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9206510Z   test_direct_coo_csr_conversion_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9206856Z   test_direct_coo_csr_conversion_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9207273Z   test_direct_coo_csr_conversion_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9207638Z   test_direct_coo_csr_conversion_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9207952Z   test_direct_coo_csr_conversion_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9208253Z   test_direct_coo_csr_conversion_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9208565Z   test_exercise_detach_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9208868Z   test_exercise_detach_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9209164Z   test_exercise_detach_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9209474Z   test_exercise_detach_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9209776Z   test_exercise_detach_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9210076Z   test_exercise_detach_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9210361Z   test_exercise_detach_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9210958Z   test_exercise_detach_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9211492Z   test_exercise_detach_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9211903Z   test_exercise_detach_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9212358Z   test_exercise_detach_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9212894Z   test_exercise_detach_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9213418Z   test_matmul_device_mismatch_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:58:19.9213778Z   test_mm_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Only CUDA 11+ is supported (0.004s)
2023-01-11T21:58:19.9214089Z   test_mm_errors_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.021s)
2023-01-11T21:58:19.9214366Z   test_mul_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.092s)
2023-01-11T21:58:19.9214629Z   test_mul_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.090s)
2023-01-11T21:58:19.9214949Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (2.713s)
2023-01-11T21:58:19.9215306Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_bool (__main__.TestSparseCSRCPU) ... ok (1.588s)
2023-01-11T21:58:19.9215662Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (3.126s)
2023-01-11T21:58:19.9216130Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (3.156s)
2023-01-11T21:58:19.9216711Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (2.508s)
2023-01-11T21:58:19.9217271Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (2.687s)
2023-01-11T21:58:19.9217827Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (2.713s)
2023-01-11T21:58:19.9218405Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (2.256s)
2023-01-11T21:58:19.9218974Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (2.247s)
2023-01-11T21:58:19.9219532Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (2.169s)
2023-01-11T21:58:19.9220087Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (2.214s)
2023-01-11T21:58:19.9220683Z   test_mul_scalar_enable_hybrid_False_SparseBSC_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (2.203s)
2023-01-11T21:58:19.9221325Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (2.443s)
2023-01-11T21:58:19.9221966Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_bool (__main__.TestSparseCSRCPU) ... ok (1.433s)
2023-01-11T21:58:19.9222602Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (2.806s)
2023-01-11T21:58:19.9223259Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (2.812s)
2023-01-11T21:58:19.9223905Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (2.280s)
2023-01-11T21:58:19.9224560Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (2.470s)
2023-01-11T21:58:19.9225181Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (2.457s)
2023-01-11T21:58:19.9225701Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (1.960s)
2023-01-11T21:58:19.9226176Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (2.013s)
2023-01-11T21:58:19.9226804Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (1.933s)
2023-01-11T21:58:19.9227234Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (1.975s)
2023-01-11T21:58:19.9227608Z   test_mul_scalar_enable_hybrid_False_SparseBSR_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (1.968s)
2023-01-11T21:58:19.9227954Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.681s)
2023-01-11T21:58:19.9228307Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.387s)
2023-01-11T21:58:19.9228685Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.839s)
2023-01-11T21:58:19.9229045Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.838s)
2023-01-11T21:58:19.9229397Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.622s)
2023-01-11T21:58:19.9229748Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.689s)
2023-01-11T21:58:19.9230086Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.664s)
2023-01-11T21:58:19.9230435Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.514s)
2023-01-11T21:58:19.9230778Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.519s)
2023-01-11T21:58:19.9231106Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.503s)
2023-01-11T21:58:19.9231446Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.513s)
2023-01-11T21:58:19.9231791Z   test_mul_scalar_enable_hybrid_False_SparseCSC_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.513s)
2023-01-11T21:58:19.9232140Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.605s)
2023-01-11T21:58:19.9232474Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.349s)
2023-01-11T21:58:19.9232831Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.762s)
2023-01-11T21:58:19.9233192Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.777s)
2023-01-11T21:58:19.9233546Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.561s)
2023-01-11T21:58:19.9233887Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.605s)
2023-01-11T21:58:19.9234307Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.590s)
2023-01-11T21:58:19.9234653Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.462s)
2023-01-11T21:58:19.9234984Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.461s)
2023-01-11T21:58:19.9235329Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.452s)
2023-01-11T21:58:19.9235672Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.463s)
2023-01-11T21:58:19.9236016Z   test_mul_scalar_enable_hybrid_False_SparseCSR_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.463s)
2023-01-11T21:58:19.9236867Z   test_resize_as_sparse_compressed_SparseBSC_cpu_bool (__main__.TestSparseCSRCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:167: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2023-01-11T21:58:19.9237421Z   result = torch.empty(shape, device=device, dtype=dtype)
2023-01-11T21:58:19.9237635Z ok (0.049s)
2023-01-11T21:58:19.9237901Z   test_resize_as_sparse_compressed_SparseBSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.047s)
2023-01-11T21:58:19.9238237Z   test_resize_as_sparse_compressed_SparseBSR_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.047s)
2023-01-11T21:58:19.9238626Z   test_resize_as_sparse_compressed_SparseBSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.047s)
2023-01-11T21:58:19.9238969Z   test_resize_as_sparse_compressed_SparseCSC_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.049s)
2023-01-11T21:58:19.9239317Z   test_resize_as_sparse_compressed_SparseCSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.049s)
2023-01-11T21:58:19.9239678Z   test_resize_as_sparse_compressed_SparseCSR_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.051s)
2023-01-11T21:58:19.9240020Z   test_resize_as_sparse_compressed_SparseCSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.051s)
2023-01-11T21:58:19.9240330Z   test_resize_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9240597Z   test_resize_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9240879Z   test_resize_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9241170Z   test_resize_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9241453Z   test_resize_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9241717Z   test_resize_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9241997Z   test_resize_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9242270Z   test_resize_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9242532Z   test_resize_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9242802Z   test_resize_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9243073Z   test_resize_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9243332Z   test_resize_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9243748Z   test_resize_errors_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9244039Z   test_resize_errors_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9244339Z   test_resize_errors_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9244628Z   test_resize_errors_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9244924Z   test_resize_errors_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9245216Z   test_resize_errors_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9245496Z   test_resize_errors_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9245783Z   test_resize_errors_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9246070Z   test_resize_errors_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9246356Z   test_resize_errors_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9246624Z   test_resize_errors_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9246912Z   test_resize_errors_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9247216Z   test_sampled_addmm_autograd_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9247532Z   test_sampled_addmm_autograd_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.004s)
2023-01-11T21:58:19.9247851Z   test_sampled_addmm_autograd_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.004s)
2023-01-11T21:58:19.9248167Z   test_sampled_addmm_autograd_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.004s)
2023-01-11T21:58:19.9248477Z   test_sampled_addmm_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.119s)
2023-01-11T21:58:19.9248773Z   test_sampled_addmm_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.123s)
2023-01-11T21:58:19.9249070Z   test_sampled_addmm_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.116s)
2023-01-11T21:58:19.9249615Z   test_sampled_addmm_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.110s)
2023-01-11T21:58:19.9249996Z   test_sampled_addmm_errors_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:58:19.9250360Z   test_sampled_addmm_errors_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:58:19.9250720Z   test_sampled_addmm_errors_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:58:19.9251071Z   test_sampled_addmm_errors_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T21:58:19.9251463Z   test_sampled_addmm_zero_sized_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:58:19.9251830Z   test_sampled_addmm_zero_sized_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:58:19.9252191Z   test_sampled_addmm_zero_sized_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:58:19.9252547Z   test_sampled_addmm_zero_sized_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T21:58:19.9252871Z   test_select_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9253186Z   test_select_SparseBSC_int32_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9253502Z   test_select_SparseBSC_int32_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9253811Z   test_select_SparseBSC_int32_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9254131Z   test_select_SparseBSC_int32_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9254443Z   test_select_SparseBSC_int32_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9254749Z   test_select_SparseBSC_int32_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9255043Z   test_select_SparseBSC_int32_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9255352Z   test_select_SparseBSC_int32_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9255659Z   test_select_SparseBSC_int32_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9255953Z   test_select_SparseBSC_int32_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9256258Z   test_select_SparseBSC_int32_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9256568Z   test_select_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9256882Z   test_select_SparseBSC_int64_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9257184Z   test_select_SparseBSC_int64_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9257594Z   test_select_SparseBSC_int64_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9257910Z   test_select_SparseBSC_int64_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9258209Z   test_select_SparseBSC_int64_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9258521Z   test_select_SparseBSC_int64_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9258828Z   test_select_SparseBSC_int64_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9259135Z   test_select_SparseBSC_int64_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9259427Z   test_select_SparseBSC_int64_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9259738Z   test_select_SparseBSC_int64_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9260045Z   test_select_SparseBSC_int64_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9260355Z   test_select_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9260651Z   test_select_SparseBSR_int32_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9260966Z   test_select_SparseBSR_int32_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9261315Z   test_select_SparseBSR_int32_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9261620Z   test_select_SparseBSR_int32_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9261927Z   test_select_SparseBSR_int32_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9262233Z   test_select_SparseBSR_int32_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9262563Z   test_select_SparseBSR_int32_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9262856Z   test_select_SparseBSR_int32_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9263161Z   test_select_SparseBSR_int32_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9263467Z   test_select_SparseBSR_int32_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9263762Z   test_select_SparseBSR_int32_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9264073Z   test_select_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9264381Z   test_select_SparseBSR_int64_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9264696Z   test_select_SparseBSR_int64_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9265002Z   test_select_SparseBSR_int64_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9265317Z   test_select_SparseBSR_int64_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9265626Z   test_select_SparseBSR_int64_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9265923Z   test_select_SparseBSR_int64_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9266224Z   test_select_SparseBSR_int64_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9266529Z   test_select_SparseBSR_int64_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9266838Z   test_select_SparseBSR_int64_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9267131Z   test_select_SparseBSR_int64_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9267436Z   test_select_SparseBSR_int64_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9267803Z   test_select_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9268104Z   test_select_SparseCSC_int32_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9268421Z   test_select_SparseCSC_int32_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9268739Z   test_select_SparseCSC_int32_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9269053Z   test_select_SparseCSC_int32_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9269351Z   test_select_SparseCSC_int32_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9269660Z   test_select_SparseCSC_int32_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9269964Z   test_select_SparseCSC_int32_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9270257Z   test_select_SparseCSC_int32_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9270560Z   test_select_SparseCSC_int32_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9270864Z   test_select_SparseCSC_int32_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9271173Z   test_select_SparseCSC_int32_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9271468Z   test_select_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9271776Z   test_select_SparseCSC_int64_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9272090Z   test_select_SparseCSC_int64_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9272427Z   test_select_SparseCSC_int64_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.017s)
2023-01-11T21:58:19.9272744Z   test_select_SparseCSC_int64_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9273054Z   test_select_SparseCSC_int64_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9273361Z   test_select_SparseCSC_int64_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9273680Z   test_select_SparseCSC_int64_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9274057Z   test_select_SparseCSC_int64_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9274369Z   test_select_SparseCSC_int64_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9274672Z   test_select_SparseCSC_int64_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9274965Z   test_select_SparseCSC_int64_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9275279Z   test_select_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9275591Z   test_select_SparseCSR_int32_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9275890Z   test_select_SparseCSR_int32_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9276210Z   test_select_SparseCSR_int32_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9276530Z   test_select_SparseCSR_int32_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9276843Z   test_select_SparseCSR_int32_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9277138Z   test_select_SparseCSR_int32_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9277445Z   test_select_SparseCSR_int32_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9277749Z   test_select_SparseCSR_int32_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9278043Z   test_select_SparseCSR_int32_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9278349Z   test_select_SparseCSR_int32_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9278653Z   test_select_SparseCSR_int32_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9278962Z   test_select_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9279263Z   test_select_SparseCSR_int64_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9279577Z   test_select_SparseCSR_int64_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9279966Z   test_select_SparseCSR_int64_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9280271Z   test_select_SparseCSR_int64_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9280584Z   test_select_SparseCSR_int64_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9280889Z   test_select_SparseCSR_int64_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.016s)
2023-01-11T21:58:19.9281194Z   test_select_SparseCSR_int64_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9281486Z   test_select_SparseCSR_int64_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9281792Z   test_select_SparseCSR_int64_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9282104Z   test_select_SparseCSR_int64_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9282395Z   test_select_SparseCSR_int64_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.015s)
2023-01-11T21:58:19.9282698Z   test_sparse_add_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9282995Z   test_sparse_add_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9283287Z   test_sparse_add_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9283749Z   test_sparse_add_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.013s)
2023-01-11T21:58:19.9284050Z   test_sparse_add_errors_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.011s)
2023-01-11T21:58:19.9284363Z   test_sparse_add_errors_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9284662Z   test_sparse_add_errors_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9285003Z   test_sparse_add_errors_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9285305Z   test_sparse_addmm_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.014s)
2023-01-11T21:58:19.9285608Z   test_sparse_addmm_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9285894Z   test_sparse_addmm_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9286185Z   test_sparse_addmm_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9286484Z   test_sparse_csc_to_dense_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9286777Z   test_sparse_csc_to_dense_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9287086Z   test_sparse_csc_to_dense_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9287399Z   test_sparse_csc_to_dense_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9287712Z   test_sparse_csc_to_dense_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9288005Z   test_sparse_csc_to_dense_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9288310Z   test_sparse_csc_to_dense_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9288612Z   test_sparse_csc_to_dense_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9288900Z   test_sparse_csc_to_dense_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9289199Z   test_sparse_csc_to_dense_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9289499Z   test_sparse_csc_to_dense_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9289800Z   test_sparse_csc_to_dense_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9290099Z   test_sparse_csr_from_dense_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9290410Z   test_sparse_csr_from_dense_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9290726Z   test_sparse_csr_from_dense_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9291031Z   test_sparse_csr_from_dense_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9291346Z   test_sparse_csr_from_dense_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9291655Z   test_sparse_csr_from_dense_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9291966Z   test_sparse_csr_from_dense_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9292257Z   test_sparse_csr_from_dense_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9292561Z   test_sparse_csr_from_dense_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9292865Z   test_sparse_csr_from_dense_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9293153Z   test_sparse_csr_from_dense_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9293458Z   test_sparse_csr_from_dense_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9293763Z   test_sparse_csr_to_dense_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9294068Z   test_sparse_csr_to_dense_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9294362Z   test_sparse_csr_to_dense_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9294672Z   test_sparse_csr_to_dense_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9295009Z   test_sparse_csr_to_dense_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9295303Z   test_sparse_csr_to_dense_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9295605Z   test_sparse_csr_to_dense_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9295907Z   test_sparse_csr_to_dense_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9296230Z   test_sparse_csr_to_dense_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9296514Z   test_sparse_csr_to_dense_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9296808Z   test_sparse_csr_to_dense_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9297103Z   test_sparse_csr_to_dense_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9297407Z   test_sparse_csr_unary_inplace_abs_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9297743Z   test_sparse_csr_unary_inplace_abs_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9298075Z   test_sparse_csr_unary_inplace_abs_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9298409Z   test_sparse_csr_unary_inplace_abs_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9298724Z   test_sparse_csr_unary_inplace_abs_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9299047Z   test_sparse_csr_unary_inplace_abs_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9299367Z   test_sparse_csr_unary_inplace_abs_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9299681Z   test_sparse_csr_unary_inplace_abs_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9299987Z   test_sparse_csr_unary_inplace_abs_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9300300Z   test_sparse_csr_unary_inplace_abs_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9300617Z   test_sparse_csr_unary_inplace_abs_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9300919Z   test_sparse_csr_unary_inplace_abs_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9301290Z   test_sparse_csr_unary_inplace_angle_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9301715Z   test_sparse_csr_unary_inplace_angle_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9302137Z   test_sparse_csr_unary_inplace_angle_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9302551Z   test_sparse_csr_unary_inplace_angle_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9302973Z   test_sparse_csr_unary_inplace_angle_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9303390Z   test_sparse_csr_unary_inplace_angle_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9303803Z   test_sparse_csr_unary_inplace_angle_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9304206Z   test_sparse_csr_unary_inplace_angle_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9304617Z   test_sparse_csr_unary_inplace_angle_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9305025Z   test_sparse_csr_unary_inplace_angle_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9305492Z   test_sparse_csr_unary_inplace_angle_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9305897Z   test_sparse_csr_unary_inplace_angle_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9306268Z   test_sparse_csr_unary_inplace_asin_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9306596Z   test_sparse_csr_unary_inplace_asin_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9306955Z   test_sparse_csr_unary_inplace_asin_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9307276Z   test_sparse_csr_unary_inplace_asin_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9307602Z   test_sparse_csr_unary_inplace_asin_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9307927Z   test_sparse_csr_unary_inplace_asin_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9308237Z   test_sparse_csr_unary_inplace_asin_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9308557Z   test_sparse_csr_unary_inplace_asin_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9308879Z   test_sparse_csr_unary_inplace_asin_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9309199Z   test_sparse_csr_unary_inplace_asin_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9309509Z   test_sparse_csr_unary_inplace_asin_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9309830Z   test_sparse_csr_unary_inplace_asinh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9310153Z   test_sparse_csr_unary_inplace_asinh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9310483Z   test_sparse_csr_unary_inplace_asinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9310806Z   test_sparse_csr_unary_inplace_asinh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9311141Z   test_sparse_csr_unary_inplace_asinh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9311467Z   test_sparse_csr_unary_inplace_asinh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9311883Z   test_sparse_csr_unary_inplace_asinh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9312208Z   test_sparse_csr_unary_inplace_asinh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9312529Z   test_sparse_csr_unary_inplace_asinh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9312846Z   test_sparse_csr_unary_inplace_asinh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9313156Z   test_sparse_csr_unary_inplace_asinh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9313483Z   test_sparse_csr_unary_inplace_atan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9313808Z   test_sparse_csr_unary_inplace_atan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9314217Z   test_sparse_csr_unary_inplace_atan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9314535Z   test_sparse_csr_unary_inplace_atan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9314861Z   test_sparse_csr_unary_inplace_atan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9315188Z   test_sparse_csr_unary_inplace_atan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9315493Z   test_sparse_csr_unary_inplace_atan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9315814Z   test_sparse_csr_unary_inplace_atan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9316130Z   test_sparse_csr_unary_inplace_atan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9316480Z   test_sparse_csr_unary_inplace_atan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9316785Z   test_sparse_csr_unary_inplace_atan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9317104Z   test_sparse_csr_unary_inplace_atanh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9317427Z   test_sparse_csr_unary_inplace_atanh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9317774Z   test_sparse_csr_unary_inplace_atanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9318114Z   test_sparse_csr_unary_inplace_atanh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9318443Z   test_sparse_csr_unary_inplace_atanh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9318770Z   test_sparse_csr_unary_inplace_atanh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9319085Z   test_sparse_csr_unary_inplace_atanh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9319411Z   test_sparse_csr_unary_inplace_atanh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9319734Z   test_sparse_csr_unary_inplace_atanh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9320050Z   test_sparse_csr_unary_inplace_atanh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9320357Z   test_sparse_csr_unary_inplace_atanh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9320686Z   test_sparse_csr_unary_inplace_ceil_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9321011Z   test_sparse_csr_unary_inplace_ceil_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9321324Z   test_sparse_csr_unary_inplace_ceil_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9321647Z   test_sparse_csr_unary_inplace_ceil_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9321969Z   test_sparse_csr_unary_inplace_ceil_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9322284Z   test_sparse_csr_unary_inplace_ceil_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9322588Z   test_sparse_csr_unary_inplace_ceil_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9322907Z   test_sparse_csr_unary_inplace_ceil_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9323242Z   test_sparse_csr_unary_inplace_conj_physical_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9323708Z   test_sparse_csr_unary_inplace_conj_physical_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9324062Z   test_sparse_csr_unary_inplace_conj_physical_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9324420Z   test_sparse_csr_unary_inplace_conj_physical_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9324776Z   test_sparse_csr_unary_inplace_conj_physical_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9325115Z   test_sparse_csr_unary_inplace_conj_physical_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9325463Z   test_sparse_csr_unary_inplace_conj_physical_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9325804Z   test_sparse_csr_unary_inplace_conj_physical_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9326145Z   test_sparse_csr_unary_inplace_conj_physical_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9326475Z   test_sparse_csr_unary_inplace_conj_physical_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9326821Z   test_sparse_csr_unary_inplace_conj_physical_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9327165Z   test_sparse_csr_unary_inplace_conj_physical_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9327545Z   test_sparse_csr_unary_inplace_conj_physical_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9327891Z   test_sparse_csr_unary_inplace_deg2rad_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9328228Z   test_sparse_csr_unary_inplace_deg2rad_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9328564Z   test_sparse_csr_unary_inplace_deg2rad_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9328922Z   test_sparse_csr_unary_inplace_deg2rad_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9329246Z   test_sparse_csr_unary_inplace_deg2rad_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9329577Z   test_sparse_csr_unary_inplace_deg2rad_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9329908Z   test_sparse_csr_unary_inplace_deg2rad_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9330228Z   test_sparse_csr_unary_inplace_deg2rad_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9330557Z   test_sparse_csr_unary_inplace_deg2rad_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9330884Z   test_sparse_csr_unary_inplace_deg2rad_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9331196Z   test_sparse_csr_unary_inplace_erf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9331524Z   test_sparse_csr_unary_inplace_erf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9331847Z   test_sparse_csr_unary_inplace_erf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9332170Z   test_sparse_csr_unary_inplace_erf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9332477Z   test_sparse_csr_unary_inplace_erf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9332795Z   test_sparse_csr_unary_inplace_erf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9333113Z   test_sparse_csr_unary_inplace_erf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9333421Z   test_sparse_csr_unary_inplace_erf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9333740Z   test_sparse_csr_unary_inplace_erf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9334066Z   test_sparse_csr_unary_inplace_erfinv_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9334392Z   test_sparse_csr_unary_inplace_erfinv_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9334706Z   test_sparse_csr_unary_inplace_erfinv_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9335031Z   test_sparse_csr_unary_inplace_erfinv_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9335354Z   test_sparse_csr_unary_inplace_erfinv_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9335678Z   test_sparse_csr_unary_inplace_erfinv_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9335987Z   test_sparse_csr_unary_inplace_erfinv_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9336308Z   test_sparse_csr_unary_inplace_erfinv_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9336628Z   test_sparse_csr_unary_inplace_erfinv_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9336944Z   test_sparse_csr_unary_inplace_expm1_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9337269Z   test_sparse_csr_unary_inplace_expm1_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9337591Z   test_sparse_csr_unary_inplace_expm1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9337918Z   test_sparse_csr_unary_inplace_expm1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9338228Z   test_sparse_csr_unary_inplace_expm1_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9338577Z   test_sparse_csr_unary_inplace_expm1_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9338905Z   test_sparse_csr_unary_inplace_expm1_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9339221Z   test_sparse_csr_unary_inplace_expm1_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9339533Z   test_sparse_csr_unary_inplace_expm1_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9339886Z   test_sparse_csr_unary_inplace_floor_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9340213Z   test_sparse_csr_unary_inplace_floor_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9340529Z   test_sparse_csr_unary_inplace_floor_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9340852Z   test_sparse_csr_unary_inplace_floor_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9341172Z   test_sparse_csr_unary_inplace_floor_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9341486Z   test_sparse_csr_unary_inplace_floor_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9341785Z   test_sparse_csr_unary_inplace_floor_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9342103Z   test_sparse_csr_unary_inplace_floor_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9342431Z   test_sparse_csr_unary_inplace_frac_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9342745Z   test_sparse_csr_unary_inplace_frac_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9343069Z   test_sparse_csr_unary_inplace_frac_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9343391Z   test_sparse_csr_unary_inplace_frac_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9343766Z   test_sparse_csr_unary_inplace_isinf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9344170Z   test_sparse_csr_unary_inplace_isinf_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9344591Z   test_sparse_csr_unary_inplace_isinf_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9345018Z   test_sparse_csr_unary_inplace_isinf_cpu_complex32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9345435Z   test_sparse_csr_unary_inplace_isinf_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9345836Z   test_sparse_csr_unary_inplace_isinf_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9346248Z   test_sparse_csr_unary_inplace_isinf_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9346657Z   test_sparse_csr_unary_inplace_isinf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9347067Z   test_sparse_csr_unary_inplace_isinf_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9347459Z   test_sparse_csr_unary_inplace_isinf_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9347873Z   test_sparse_csr_unary_inplace_isinf_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9348280Z   test_sparse_csr_unary_inplace_isinf_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9348686Z   test_sparse_csr_unary_inplace_isinf_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9349117Z   test_sparse_csr_unary_inplace_isnan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9349534Z   test_sparse_csr_unary_inplace_isnan_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9349951Z   test_sparse_csr_unary_inplace_isnan_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9350400Z   test_sparse_csr_unary_inplace_isnan_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9350801Z   test_sparse_csr_unary_inplace_isnan_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9351217Z   test_sparse_csr_unary_inplace_isnan_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9351625Z   test_sparse_csr_unary_inplace_isnan_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9352036Z   test_sparse_csr_unary_inplace_isnan_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9352432Z   test_sparse_csr_unary_inplace_isnan_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9352839Z   test_sparse_csr_unary_inplace_isnan_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9353240Z   test_sparse_csr_unary_inplace_isnan_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9353650Z   test_sparse_csr_unary_inplace_isnan_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9354123Z   test_sparse_csr_unary_inplace_isneginf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9354552Z   test_sparse_csr_unary_inplace_isneginf_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9354973Z   test_sparse_csr_unary_inplace_isneginf_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9355400Z   test_sparse_csr_unary_inplace_isneginf_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9355814Z   test_sparse_csr_unary_inplace_isneginf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9356214Z   test_sparse_csr_unary_inplace_isneginf_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9356626Z   test_sparse_csr_unary_inplace_isneginf_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9357043Z   test_sparse_csr_unary_inplace_isneginf_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9357459Z   test_sparse_csr_unary_inplace_isneginf_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9357863Z   test_sparse_csr_unary_inplace_isneginf_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9358279Z   test_sparse_csr_unary_inplace_isposinf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9358701Z   test_sparse_csr_unary_inplace_isposinf_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9359170Z   test_sparse_csr_unary_inplace_isposinf_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9359580Z   test_sparse_csr_unary_inplace_isposinf_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9360000Z   test_sparse_csr_unary_inplace_isposinf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9360442Z   test_sparse_csr_unary_inplace_isposinf_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9360856Z   test_sparse_csr_unary_inplace_isposinf_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9361252Z   test_sparse_csr_unary_inplace_isposinf_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9361665Z   test_sparse_csr_unary_inplace_isposinf_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9362072Z   test_sparse_csr_unary_inplace_isposinf_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9362443Z   test_sparse_csr_unary_inplace_log1p_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9362762Z   test_sparse_csr_unary_inplace_log1p_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9363097Z   test_sparse_csr_unary_inplace_log1p_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9363571Z   test_sparse_csr_unary_inplace_log1p_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9363906Z   test_sparse_csr_unary_inplace_log1p_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9364222Z   test_sparse_csr_unary_inplace_log1p_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9364550Z   test_sparse_csr_unary_inplace_log1p_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9364873Z   test_sparse_csr_unary_inplace_log1p_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9365179Z   test_sparse_csr_unary_inplace_log1p_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9365504Z   test_sparse_csr_unary_inplace_log1p_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9365827Z   test_sparse_csr_unary_inplace_log1p_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9366251Z   test_sparse_csr_unary_inplace_neg_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9366571Z   test_sparse_csr_unary_inplace_neg_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9366900Z   test_sparse_csr_unary_inplace_neg_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9367229Z   test_sparse_csr_unary_inplace_neg_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9367544Z   test_sparse_csr_unary_inplace_neg_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9367865Z   test_sparse_csr_unary_inplace_neg_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9368188Z   test_sparse_csr_unary_inplace_neg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9368504Z   test_sparse_csr_unary_inplace_neg_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9368809Z   test_sparse_csr_unary_inplace_neg_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9369123Z   test_sparse_csr_unary_inplace_neg_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9369441Z   test_sparse_csr_unary_inplace_neg_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9369756Z   test_sparse_csr_unary_inplace_neg_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9370180Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9370631Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9371075Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9371547Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9371974Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9372408Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9372847Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9373280Z   test_sparse_csr_unary_inplace_nn_functional_relu_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9373700Z   test_sparse_csr_unary_inplace_positive_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9374133Z   test_sparse_csr_unary_inplace_positive_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9374564Z   test_sparse_csr_unary_inplace_positive_cpu_complex32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9374992Z   test_sparse_csr_unary_inplace_positive_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9375408Z   test_sparse_csr_unary_inplace_positive_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9375829Z   test_sparse_csr_unary_inplace_positive_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9376248Z   test_sparse_csr_unary_inplace_positive_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9376662Z   test_sparse_csr_unary_inplace_positive_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9377065Z   test_sparse_csr_unary_inplace_positive_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9377482Z   test_sparse_csr_unary_inplace_positive_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9377900Z   test_sparse_csr_unary_inplace_positive_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9378312Z   test_sparse_csr_unary_inplace_positive_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9378763Z   test_sparse_csr_unary_inplace_rad2deg_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9379104Z   test_sparse_csr_unary_inplace_rad2deg_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9379438Z   test_sparse_csr_unary_inplace_rad2deg_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9379769Z   test_sparse_csr_unary_inplace_rad2deg_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9380087Z   test_sparse_csr_unary_inplace_rad2deg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9380449Z   test_sparse_csr_unary_inplace_rad2deg_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9380782Z   test_sparse_csr_unary_inplace_rad2deg_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9381096Z   test_sparse_csr_unary_inplace_rad2deg_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9381425Z   test_sparse_csr_unary_inplace_rad2deg_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.008s)
2023-01-11T21:58:19.9381793Z   test_sparse_csr_unary_inplace_rad2deg_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9382125Z   test_sparse_csr_unary_inplace_round_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9382443Z   test_sparse_csr_unary_inplace_round_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9382772Z   test_sparse_csr_unary_inplace_round_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9383096Z   test_sparse_csr_unary_inplace_round_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9383421Z   test_sparse_csr_unary_inplace_round_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9383730Z   test_sparse_csr_unary_inplace_round_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9384050Z   test_sparse_csr_unary_inplace_round_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9384376Z   test_sparse_csr_unary_inplace_round_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9384690Z   test_sparse_csr_unary_inplace_sgn_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9385059Z   test_sparse_csr_unary_inplace_sgn_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9385384Z   test_sparse_csr_unary_inplace_sgn_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9385717Z   test_sparse_csr_unary_inplace_sgn_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9386038Z   test_sparse_csr_unary_inplace_sgn_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9386365Z   test_sparse_csr_unary_inplace_sgn_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9386690Z   test_sparse_csr_unary_inplace_sgn_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9386997Z   test_sparse_csr_unary_inplace_sgn_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9387315Z   test_sparse_csr_unary_inplace_sgn_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9387635Z   test_sparse_csr_unary_inplace_sgn_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9387954Z   test_sparse_csr_unary_inplace_sgn_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9388263Z   test_sparse_csr_unary_inplace_sgn_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9388577Z   test_sparse_csr_unary_inplace_sgn_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9388902Z   test_sparse_csr_unary_inplace_sign_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9389306Z   test_sparse_csr_unary_inplace_sign_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9389683Z   test_sparse_csr_unary_inplace_sign_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9390006Z   test_sparse_csr_unary_inplace_sign_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9390330Z   test_sparse_csr_unary_inplace_sign_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9390636Z   test_sparse_csr_unary_inplace_sign_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9390957Z   test_sparse_csr_unary_inplace_sign_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9391275Z   test_sparse_csr_unary_inplace_sign_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9391637Z   test_sparse_csr_unary_inplace_sign_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9391946Z   test_sparse_csr_unary_inplace_sign_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9392318Z   test_sparse_csr_unary_inplace_signbit_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9392738Z   test_sparse_csr_unary_inplace_signbit_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9393188Z   test_sparse_csr_unary_inplace_signbit_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9393600Z   test_sparse_csr_unary_inplace_signbit_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9394091Z   test_sparse_csr_unary_inplace_signbit_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9394508Z   test_sparse_csr_unary_inplace_signbit_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9394921Z   test_sparse_csr_unary_inplace_signbit_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9395321Z   test_sparse_csr_unary_inplace_signbit_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9395736Z   test_sparse_csr_unary_inplace_signbit_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9396146Z   test_sparse_csr_unary_inplace_signbit_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Inplace variant not supported! (0.001s)
2023-01-11T21:58:19.9396513Z   test_sparse_csr_unary_inplace_sin_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9396825Z   test_sparse_csr_unary_inplace_sin_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9397151Z   test_sparse_csr_unary_inplace_sin_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9397537Z   test_sparse_csr_unary_inplace_sin_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9397850Z   test_sparse_csr_unary_inplace_sin_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9398172Z   test_sparse_csr_unary_inplace_sin_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9398488Z   test_sparse_csr_unary_inplace_sin_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9398804Z   test_sparse_csr_unary_inplace_sin_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9399106Z   test_sparse_csr_unary_inplace_sin_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9399421Z   test_sparse_csr_unary_inplace_sin_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9399736Z   test_sparse_csr_unary_inplace_sin_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9400058Z   test_sparse_csr_unary_inplace_sinh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9400367Z   test_sparse_csr_unary_inplace_sinh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9400695Z   test_sparse_csr_unary_inplace_sinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9401032Z   test_sparse_csr_unary_inplace_sinh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9401346Z   test_sparse_csr_unary_inplace_sinh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9401672Z   test_sparse_csr_unary_inplace_sinh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9401995Z   test_sparse_csr_unary_inplace_sinh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9402360Z   test_sparse_csr_unary_inplace_sinh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9402664Z   test_sparse_csr_unary_inplace_sinh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9402979Z   test_sparse_csr_unary_inplace_sinh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9403295Z   test_sparse_csr_unary_inplace_sinh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9403767Z   test_sparse_csr_unary_inplace_sqrt_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9404093Z   test_sparse_csr_unary_inplace_sqrt_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9404424Z   test_sparse_csr_unary_inplace_sqrt_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9404753Z   test_sparse_csr_unary_inplace_sqrt_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9405070Z   test_sparse_csr_unary_inplace_sqrt_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9405397Z   test_sparse_csr_unary_inplace_sqrt_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9405715Z   test_sparse_csr_unary_inplace_sqrt_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9406033Z   test_sparse_csr_unary_inplace_sqrt_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9406335Z   test_sparse_csr_unary_inplace_sqrt_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9406657Z   test_sparse_csr_unary_inplace_sqrt_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9406973Z   test_sparse_csr_unary_inplace_sqrt_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9407279Z   test_sparse_csr_unary_inplace_tan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9407601Z   test_sparse_csr_unary_inplace_tan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9407930Z   test_sparse_csr_unary_inplace_tan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9408257Z   test_sparse_csr_unary_inplace_tan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9408577Z   test_sparse_csr_unary_inplace_tan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9408898Z   test_sparse_csr_unary_inplace_tan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9409217Z   test_sparse_csr_unary_inplace_tan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.007s)
2023-01-11T21:58:19.9409520Z   test_sparse_csr_unary_inplace_tan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9409834Z   test_sparse_csr_unary_inplace_tan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9410148Z   test_sparse_csr_unary_inplace_tan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9410460Z   test_sparse_csr_unary_inplace_tan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9410768Z   test_sparse_csr_unary_inplace_tanh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9411087Z   test_sparse_csr_unary_inplace_tanh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9411415Z   test_sparse_csr_unary_inplace_tanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9411747Z   test_sparse_csr_unary_inplace_tanh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9412066Z   test_sparse_csr_unary_inplace_tanh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9412392Z   test_sparse_csr_unary_inplace_tanh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9412711Z   test_sparse_csr_unary_inplace_tanh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9413018Z   test_sparse_csr_unary_inplace_tanh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9413390Z   test_sparse_csr_unary_inplace_tanh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9413708Z   test_sparse_csr_unary_inplace_tanh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9414024Z   test_sparse_csr_unary_inplace_tanh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.006s)
2023-01-11T21:58:19.9414339Z   test_sparse_csr_unary_inplace_trunc_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9414712Z   test_sparse_csr_unary_inplace_trunc_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9415041Z   test_sparse_csr_unary_inplace_trunc_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9415355Z   test_sparse_csr_unary_inplace_trunc_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9415678Z   test_sparse_csr_unary_inplace_trunc_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9415998Z   test_sparse_csr_unary_inplace_trunc_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9416322Z   test_sparse_csr_unary_inplace_trunc_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9416628Z   test_sparse_csr_unary_inplace_trunc_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9416948Z   test_sparse_csr_unary_out_abs_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9417780Z   test_sparse_csr_unary_out_abs_cpu_complex128 (__main__.TestSparseCSRCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:276.)
2023-01-11T21:58:19.9418273Z   return self.op(*args, **kwargs)
2023-01-11T21:58:19.9418445Z ok (0.003s)
2023-01-11T21:58:19.9418696Z   test_sparse_csr_unary_out_abs_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9419018Z   test_sparse_csr_unary_out_abs_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9419327Z   test_sparse_csr_unary_out_abs_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9419642Z   test_sparse_csr_unary_out_abs_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9419951Z   test_sparse_csr_unary_out_abs_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9420266Z   test_sparse_csr_unary_out_abs_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9420564Z   test_sparse_csr_unary_out_abs_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9420874Z   test_sparse_csr_unary_out_abs_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9421018Z   test_sparse_csr_unary_out_abs_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9421160Z   test_sparse_csr_unary_out_abs_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9421312Z   test_sparse_csr_unary_out_angle_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9421460Z   test_sparse_csr_unary_out_angle_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9421602Z   test_sparse_csr_unary_out_angle_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9421754Z   test_sparse_csr_unary_out_angle_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9421907Z   test_sparse_csr_unary_out_angle_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422053Z   test_sparse_csr_unary_out_angle_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422196Z   test_sparse_csr_unary_out_angle_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422341Z   test_sparse_csr_unary_out_angle_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422488Z   test_sparse_csr_unary_out_angle_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422657Z   test_sparse_csr_unary_out_angle_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422803Z   test_sparse_csr_unary_out_angle_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9422933Z   test_sparse_csr_unary_out_angle_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9423080Z   test_sparse_csr_unary_out_asin_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9423256Z   test_sparse_csr_unary_out_asin_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9423411Z   test_sparse_csr_unary_out_asin_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9423564Z   test_sparse_csr_unary_out_asin_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9423712Z   test_sparse_csr_unary_out_asin_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9423861Z   test_sparse_csr_unary_out_asin_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9424005Z   test_sparse_csr_unary_out_asin_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9424138Z   test_sparse_csr_unary_out_asin_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9424278Z   test_sparse_csr_unary_out_asin_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9424424Z   test_sparse_csr_unary_out_asin_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9424570Z   test_sparse_csr_unary_out_asin_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9424718Z   test_sparse_csr_unary_out_asinh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9424860Z   test_sparse_csr_unary_out_asinh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425015Z   test_sparse_csr_unary_out_asinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425169Z   test_sparse_csr_unary_out_asinh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425317Z   test_sparse_csr_unary_out_asinh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425453Z   test_sparse_csr_unary_out_asinh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425599Z   test_sparse_csr_unary_out_asinh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425746Z   test_sparse_csr_unary_out_asinh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9425888Z   test_sparse_csr_unary_out_asinh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426035Z   test_sparse_csr_unary_out_asinh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426178Z   test_sparse_csr_unary_out_asinh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426324Z   test_sparse_csr_unary_out_atan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426471Z   test_sparse_csr_unary_out_atan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426610Z   test_sparse_csr_unary_out_atan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426762Z   test_sparse_csr_unary_out_atan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9426911Z   test_sparse_csr_unary_out_atan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427059Z   test_sparse_csr_unary_out_atan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427203Z   test_sparse_csr_unary_out_atan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427346Z   test_sparse_csr_unary_out_atan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427487Z   test_sparse_csr_unary_out_atan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427631Z   test_sparse_csr_unary_out_atan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427806Z   test_sparse_csr_unary_out_atan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9427956Z   test_sparse_csr_unary_out_atanh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9428096Z   test_sparse_csr_unary_out_atanh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9428249Z   test_sparse_csr_unary_out_atanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9428432Z   test_sparse_csr_unary_out_atanh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9428581Z   test_sparse_csr_unary_out_atanh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9428733Z   test_sparse_csr_unary_out_atanh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9428877Z   test_sparse_csr_unary_out_atanh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9429026Z   test_sparse_csr_unary_out_atanh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9429159Z   test_sparse_csr_unary_out_atanh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9429303Z   test_sparse_csr_unary_out_atanh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9429443Z   test_sparse_csr_unary_out_atanh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9429593Z   test_sparse_csr_unary_out_ceil_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9429741Z   test_sparse_csr_unary_out_ceil_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9429888Z   test_sparse_csr_unary_out_ceil_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9430033Z   test_sparse_csr_unary_out_ceil_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9430175Z   test_sparse_csr_unary_out_ceil_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9430311Z   test_sparse_csr_unary_out_ceil_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9430456Z   test_sparse_csr_unary_out_ceil_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9430599Z   test_sparse_csr_unary_out_ceil_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9430764Z   test_sparse_csr_unary_out_conj_physical_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9430924Z   test_sparse_csr_unary_out_conj_physical_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9431087Z   test_sparse_csr_unary_out_conj_physical_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9431253Z   test_sparse_csr_unary_out_conj_physical_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9431416Z   test_sparse_csr_unary_out_conj_physical_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9431576Z   test_sparse_csr_unary_out_conj_physical_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9431717Z   test_sparse_csr_unary_out_conj_physical_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9431872Z   test_sparse_csr_unary_out_conj_physical_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432029Z   test_sparse_csr_unary_out_conj_physical_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432185Z   test_sparse_csr_unary_out_conj_physical_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432337Z   test_sparse_csr_unary_out_conj_physical_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432490Z   test_sparse_csr_unary_out_conj_physical_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432640Z   test_sparse_csr_unary_out_conj_physical_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432821Z   test_sparse_csr_unary_out_deg2rad_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9432976Z   test_sparse_csr_unary_out_deg2rad_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9433118Z   test_sparse_csr_unary_out_deg2rad_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9433271Z   test_sparse_csr_unary_out_deg2rad_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9433449Z   test_sparse_csr_unary_out_deg2rad_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9433599Z   test_sparse_csr_unary_out_deg2rad_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9433746Z   test_sparse_csr_unary_out_deg2rad_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9433889Z   test_sparse_csr_unary_out_deg2rad_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9434137Z   test_sparse_csr_unary_out_deg2rad_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9434287Z   test_sparse_csr_unary_out_deg2rad_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9434419Z   test_sparse_csr_unary_out_erf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9434566Z   test_sparse_csr_unary_out_erf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9434714Z   test_sparse_csr_unary_out_erf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9434865Z   test_sparse_csr_unary_out_erf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435009Z   test_sparse_csr_unary_out_erf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435152Z   test_sparse_csr_unary_out_erf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435294Z   test_sparse_csr_unary_out_erf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435433Z   test_sparse_csr_unary_out_erf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435564Z   test_sparse_csr_unary_out_erf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435719Z   test_sparse_csr_unary_out_erfinv_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9435866Z   test_sparse_csr_unary_out_erfinv_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436015Z   test_sparse_csr_unary_out_erfinv_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436164Z   test_sparse_csr_unary_out_erfinv_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436314Z   test_sparse_csr_unary_out_erfinv_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436460Z   test_sparse_csr_unary_out_erfinv_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436602Z   test_sparse_csr_unary_out_erfinv_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436751Z   test_sparse_csr_unary_out_erfinv_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9436881Z   test_sparse_csr_unary_out_erfinv_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9437031Z   test_sparse_csr_unary_out_expm1_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9437179Z   test_sparse_csr_unary_out_expm1_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9437326Z   test_sparse_csr_unary_out_expm1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9437475Z   test_sparse_csr_unary_out_expm1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9437621Z   test_sparse_csr_unary_out_expm1_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9437764Z   test_sparse_csr_unary_out_expm1_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9437906Z   test_sparse_csr_unary_out_expm1_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9438070Z   test_sparse_csr_unary_out_expm1_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9438215Z   test_sparse_csr_unary_out_expm1_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9438364Z   test_sparse_csr_unary_out_floor_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9438511Z   test_sparse_csr_unary_out_floor_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9438689Z   test_sparse_csr_unary_out_floor_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9438835Z   test_sparse_csr_unary_out_floor_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9438980Z   test_sparse_csr_unary_out_floor_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9439122Z   test_sparse_csr_unary_out_floor_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9439266Z   test_sparse_csr_unary_out_floor_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9439396Z   test_sparse_csr_unary_out_floor_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9439542Z   test_sparse_csr_unary_out_frac_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9439689Z   test_sparse_csr_unary_out_frac_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9439835Z   test_sparse_csr_unary_out_frac_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9439980Z   test_sparse_csr_unary_out_frac_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9440168Z   test_sparse_csr_unary_out_isinf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9440351Z   test_sparse_csr_unary_out_isinf_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9440539Z   test_sparse_csr_unary_out_isinf_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9440716Z   test_sparse_csr_unary_out_isinf_cpu_complex32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9440900Z   test_sparse_csr_unary_out_isinf_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9441080Z   test_sparse_csr_unary_out_isinf_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9441264Z   test_sparse_csr_unary_out_isinf_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9441440Z   test_sparse_csr_unary_out_isinf_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9441617Z   test_sparse_csr_unary_out_isinf_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9441797Z   test_sparse_csr_unary_out_isinf_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9441973Z   test_sparse_csr_unary_out_isinf_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9442154Z   test_sparse_csr_unary_out_isinf_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9442335Z   test_sparse_csr_unary_out_isinf_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9442508Z   test_sparse_csr_unary_out_isnan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9442685Z   test_sparse_csr_unary_out_isnan_cpu_bool (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9442873Z   test_sparse_csr_unary_out_isnan_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9443087Z   test_sparse_csr_unary_out_isnan_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9443273Z   test_sparse_csr_unary_out_isnan_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9443574Z   test_sparse_csr_unary_out_isnan_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9443754Z   test_sparse_csr_unary_out_isnan_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9444012Z   test_sparse_csr_unary_out_isnan_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9444190Z   test_sparse_csr_unary_out_isnan_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9444368Z   test_sparse_csr_unary_out_isnan_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9444538Z   test_sparse_csr_unary_out_isnan_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9444713Z   test_sparse_csr_unary_out_isnan_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9444873Z   test_sparse_csr_unary_out_isneginf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445023Z   test_sparse_csr_unary_out_isneginf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445181Z   test_sparse_csr_unary_out_isneginf_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445336Z   test_sparse_csr_unary_out_isneginf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445491Z   test_sparse_csr_unary_out_isneginf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445640Z   test_sparse_csr_unary_out_isneginf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445779Z   test_sparse_csr_unary_out_isneginf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9445930Z   test_sparse_csr_unary_out_isneginf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446078Z   test_sparse_csr_unary_out_isneginf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446224Z   test_sparse_csr_unary_out_isneginf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446378Z   test_sparse_csr_unary_out_isposinf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446528Z   test_sparse_csr_unary_out_isposinf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446679Z   test_sparse_csr_unary_out_isposinf_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446832Z   test_sparse_csr_unary_out_isposinf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9446984Z   test_sparse_csr_unary_out_isposinf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9447120Z   test_sparse_csr_unary_out_isposinf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9447269Z   test_sparse_csr_unary_out_isposinf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9447416Z   test_sparse_csr_unary_out_isposinf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9447562Z   test_sparse_csr_unary_out_isposinf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9447710Z   test_sparse_csr_unary_out_isposinf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9447856Z   test_sparse_csr_unary_out_log1p_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448001Z   test_sparse_csr_unary_out_log1p_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448153Z   test_sparse_csr_unary_out_log1p_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448304Z   test_sparse_csr_unary_out_log1p_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448474Z   test_sparse_csr_unary_out_log1p_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448624Z   test_sparse_csr_unary_out_log1p_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448770Z   test_sparse_csr_unary_out_log1p_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9448914Z   test_sparse_csr_unary_out_log1p_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9449082Z   test_sparse_csr_unary_out_log1p_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9449227Z   test_sparse_csr_unary_out_log1p_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9449370Z   test_sparse_csr_unary_out_log1p_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9449518Z   test_sparse_csr_unary_out_neg_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9449658Z   test_sparse_csr_unary_out_neg_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9449807Z   test_sparse_csr_unary_out_neg_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9449954Z   test_sparse_csr_unary_out_neg_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9450099Z   test_sparse_csr_unary_out_neg_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9450242Z   test_sparse_csr_unary_out_neg_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9450388Z   test_sparse_csr_unary_out_neg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9450529Z   test_sparse_csr_unary_out_neg_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9450671Z   test_sparse_csr_unary_out_neg_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9450801Z   test_sparse_csr_unary_out_neg_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9450947Z   test_sparse_csr_unary_out_neg_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9451087Z   test_sparse_csr_unary_out_neg_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9451285Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9451484Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9451683Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9451878Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9452074Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9452269Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9452460Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9452640Z   test_sparse_csr_unary_out_nn_functional_relu_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9452831Z   test_sparse_csr_unary_out_positive_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9453021Z   test_sparse_csr_unary_out_positive_cpu_complex128 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9453210Z   test_sparse_csr_unary_out_positive_cpu_complex32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9453430Z   test_sparse_csr_unary_out_positive_cpu_complex64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9453619Z   test_sparse_csr_unary_out_positive_cpu_float16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9453804Z   test_sparse_csr_unary_out_positive_cpu_float32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9453988Z   test_sparse_csr_unary_out_positive_cpu_float64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9454201Z   test_sparse_csr_unary_out_positive_cpu_int16 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9454382Z   test_sparse_csr_unary_out_positive_cpu_int32 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9454551Z   test_sparse_csr_unary_out_positive_cpu_int64 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9454737Z   test_sparse_csr_unary_out_positive_cpu_int8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9454916Z   test_sparse_csr_unary_out_positive_cpu_uint8 (__main__.TestSparseCSRCPU) ... skip: Skipped! Out not supported (0.001s)
2023-01-11T21:58:19.9455071Z   test_sparse_csr_unary_out_rad2deg_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9455222Z   test_sparse_csr_unary_out_rad2deg_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9455375Z   test_sparse_csr_unary_out_rad2deg_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9455527Z   test_sparse_csr_unary_out_rad2deg_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9455677Z   test_sparse_csr_unary_out_rad2deg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9455825Z   test_sparse_csr_unary_out_rad2deg_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9455961Z   test_sparse_csr_unary_out_rad2deg_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9456106Z   test_sparse_csr_unary_out_rad2deg_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9456252Z   test_sparse_csr_unary_out_rad2deg_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9456395Z   test_sparse_csr_unary_out_rad2deg_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9456548Z   test_sparse_csr_unary_out_round_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9456692Z   test_sparse_csr_unary_out_round_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9456836Z   test_sparse_csr_unary_out_round_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9456984Z   test_sparse_csr_unary_out_round_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457119Z   test_sparse_csr_unary_out_round_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457264Z   test_sparse_csr_unary_out_round_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457409Z   test_sparse_csr_unary_out_round_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457549Z   test_sparse_csr_unary_out_round_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457695Z   test_sparse_csr_unary_out_sgn_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457840Z   test_sparse_csr_unary_out_sgn_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9457993Z   test_sparse_csr_unary_out_sgn_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9458139Z   test_sparse_csr_unary_out_sgn_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9458286Z   test_sparse_csr_unary_out_sgn_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9458417Z   test_sparse_csr_unary_out_sgn_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9458589Z   test_sparse_csr_unary_out_sgn_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9458731Z   test_sparse_csr_unary_out_sgn_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9458872Z   test_sparse_csr_unary_out_sgn_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9459016Z   test_sparse_csr_unary_out_sgn_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9459184Z   test_sparse_csr_unary_out_sgn_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9459326Z   test_sparse_csr_unary_out_sgn_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9459470Z   test_sparse_csr_unary_out_sgn_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9459604Z   test_sparse_csr_unary_out_sign_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9459748Z   test_sparse_csr_unary_out_sign_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9459895Z   test_sparse_csr_unary_out_sign_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9460042Z   test_sparse_csr_unary_out_sign_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9460186Z   test_sparse_csr_unary_out_sign_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9460331Z   test_sparse_csr_unary_out_sign_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9460478Z   test_sparse_csr_unary_out_sign_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9460618Z   test_sparse_csr_unary_out_sign_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9460747Z   test_sparse_csr_unary_out_sign_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9460892Z   test_sparse_csr_unary_out_sign_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461046Z   test_sparse_csr_unary_out_signbit_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461194Z   test_sparse_csr_unary_out_signbit_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461345Z   test_sparse_csr_unary_out_signbit_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461495Z   test_sparse_csr_unary_out_signbit_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461646Z   test_sparse_csr_unary_out_signbit_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461792Z   test_sparse_csr_unary_out_signbit_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9461936Z   test_sparse_csr_unary_out_signbit_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9462068Z   test_sparse_csr_unary_out_signbit_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9462214Z   test_sparse_csr_unary_out_signbit_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9462359Z   test_sparse_csr_unary_out_signbit_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9462502Z   test_sparse_csr_unary_out_sin_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9462645Z   test_sparse_csr_unary_out_sin_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9462794Z   test_sparse_csr_unary_out_sin_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9462939Z   test_sparse_csr_unary_out_sin_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463084Z   test_sparse_csr_unary_out_sin_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463217Z   test_sparse_csr_unary_out_sin_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463361Z   test_sparse_csr_unary_out_sin_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463502Z   test_sparse_csr_unary_out_sin_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463689Z   test_sparse_csr_unary_out_sin_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463834Z   test_sparse_csr_unary_out_sin_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9463974Z   test_sparse_csr_unary_out_sin_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9464122Z   test_sparse_csr_unary_out_sinh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9464300Z   test_sparse_csr_unary_out_sinh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9464450Z   test_sparse_csr_unary_out_sinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9464589Z   test_sparse_csr_unary_out_sinh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9464735Z   test_sparse_csr_unary_out_sinh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9464881Z   test_sparse_csr_unary_out_sinh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465025Z   test_sparse_csr_unary_out_sinh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465168Z   test_sparse_csr_unary_out_sinh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465308Z   test_sparse_csr_unary_out_sinh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465452Z   test_sparse_csr_unary_out_sinh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465600Z   test_sparse_csr_unary_out_sinh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465736Z   test_sparse_csr_unary_out_sqrt_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9465879Z   test_sparse_csr_unary_out_sqrt_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466031Z   test_sparse_csr_unary_out_sqrt_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466182Z   test_sparse_csr_unary_out_sqrt_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466328Z   test_sparse_csr_unary_out_sqrt_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466473Z   test_sparse_csr_unary_out_sqrt_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466616Z   test_sparse_csr_unary_out_sqrt_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466760Z   test_sparse_csr_unary_out_sqrt_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9466887Z   test_sparse_csr_unary_out_sqrt_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9467031Z   test_sparse_csr_unary_out_sqrt_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9468596Z   test_sparse_csr_unary_out_sqrt_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9468743Z   test_sparse_csr_unary_out_tan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9468892Z   test_sparse_csr_unary_out_tan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9491787Z   test_sparse_csr_unary_out_tan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492023Z   test_sparse_csr_unary_out_tan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492178Z   test_sparse_csr_unary_out_tan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492333Z   test_sparse_csr_unary_out_tan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492469Z   test_sparse_csr_unary_out_tan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492601Z   test_sparse_csr_unary_out_tan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492737Z   test_sparse_csr_unary_out_tan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9492876Z   test_sparse_csr_unary_out_tan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9493122Z   test_sparse_csr_unary_out_tan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9493270Z   test_sparse_csr_unary_out_tanh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9493404Z   test_sparse_csr_unary_out_tanh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9493553Z   test_sparse_csr_unary_out_tanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9493749Z   test_sparse_csr_unary_out_tanh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9493894Z   test_sparse_csr_unary_out_tanh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494036Z   test_sparse_csr_unary_out_tanh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494174Z   test_sparse_csr_unary_out_tanh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494319Z   test_sparse_csr_unary_out_tanh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494452Z   test_sparse_csr_unary_out_tanh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494592Z   test_sparse_csr_unary_out_tanh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494728Z   test_sparse_csr_unary_out_tanh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9494872Z   test_sparse_csr_unary_out_trunc_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9495013Z   test_sparse_csr_unary_out_trunc_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9495150Z   test_sparse_csr_unary_out_trunc_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.003s)
2023-01-11T21:58:19.9495295Z   test_sparse_csr_unary_out_trunc_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9495434Z   test_sparse_csr_unary_out_trunc_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9495577Z   test_sparse_csr_unary_out_trunc_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9495717Z   test_sparse_csr_unary_out_trunc_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9495854Z   test_sparse_csr_unary_out_trunc_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9495984Z   test_sparse_mm_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9496108Z   test_sparse_mm_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9496235Z   test_sparse_mm_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.005s)
2023-01-11T21:58:19.9496358Z   test_sparse_mm_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.004s)
2023-01-11T21:58:19.9496506Z   test_sparse_to_sparse_compressed_SparseBSC_cpu_float64 (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9496665Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... skip: NOT IMPL (0.002s)
2023-01-11T21:58:19.9496815Z   test_sparse_to_sparse_compressed_SparseBSR_cpu_float64 (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9496970Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... skip: NOT IMPL (0.002s)
2023-01-11T21:58:19.9497113Z   test_sparse_to_sparse_compressed_SparseCSC_cpu_float64 (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9497247Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... ok (0.015s)
2023-01-11T21:58:19.9497390Z   test_sparse_to_sparse_compressed_SparseCSR_cpu_float64 (__main__.TestSparseCSRCPU)
2023-01-11T21:58:19.9497530Z This test tests conversion from COO to CSR and CSC and CSC to CSR and CSC ... ok (0.015s)
2023-01-11T21:58:19.9497680Z   test_sparse_triangular_solve_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.075s)
2023-01-11T21:58:19.9497829Z   test_sparse_triangular_solve_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.075s)
2023-01-11T21:58:19.9497975Z   test_sparse_triangular_solve_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.067s)
2023-01-11T21:58:19.9498149Z   test_sparse_triangular_solve_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.067s)
2023-01-11T21:58:19.9498276Z   test_sum_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9498394Z   test_sum_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9498511Z   test_sum_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9498634Z   test_sum_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.010s)
2023-01-11T21:58:19.9498784Z   test_sum_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9498903Z   test_sum_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9499021Z   test_sum_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.012s)
2023-01-11T21:58:19.9499138Z   test_sum_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9499257Z   test_sum_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9499365Z   test_sum_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9499486Z   test_sum_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9499602Z   test_sum_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.009s)
2023-01-11T21:58:19.9499749Z   test_transpose_SparseBSC_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (2.476s)
2023-01-11T21:58:19.9499886Z   test_transpose_SparseBSC_cpu_bool (__main__.TestSparseCSRCPU) ... ok (2.407s)
2023-01-11T21:58:19.9500039Z   test_transpose_SparseBSC_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (2.512s)
2023-01-11T21:58:19.9500185Z   test_transpose_SparseBSC_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (2.510s)
2023-01-11T21:58:19.9500329Z   test_transpose_SparseBSC_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (2.481s)
2023-01-11T21:58:19.9500460Z   test_transpose_SparseBSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (2.483s)
2023-01-11T21:58:19.9500598Z   test_transpose_SparseBSC_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (2.473s)
2023-01-11T21:58:19.9500740Z   test_transpose_SparseBSC_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (2.414s)
2023-01-11T21:58:19.9500881Z   test_transpose_SparseBSC_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (2.415s)
2023-01-11T21:58:19.9501020Z   test_transpose_SparseBSC_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (2.409s)
2023-01-11T21:58:19.9501156Z   test_transpose_SparseBSC_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (2.417s)
2023-01-11T21:58:19.9501296Z   test_transpose_SparseBSC_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (2.419s)
2023-01-11T21:58:19.9501440Z   test_transpose_SparseBSR_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (2.501s)
2023-01-11T21:58:19.9501568Z   test_transpose_SparseBSR_cpu_bool (__main__.TestSparseCSRCPU) ... ok (2.428s)
2023-01-11T21:58:19.9501712Z   test_transpose_SparseBSR_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (2.532s)
2023-01-11T21:58:19.9501857Z   test_transpose_SparseBSR_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (2.535s)
2023-01-11T21:58:19.9501999Z   test_transpose_SparseBSR_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (2.503s)
2023-01-11T21:58:19.9502138Z   test_transpose_SparseBSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (2.502s)
2023-01-11T21:58:19.9502274Z   test_transpose_SparseBSR_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (2.495s)
2023-01-11T21:58:19.9502416Z   test_transpose_SparseBSR_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (2.437s)
2023-01-11T21:58:19.9502557Z   test_transpose_SparseBSR_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (2.435s)
2023-01-11T21:58:19.9502696Z   test_transpose_SparseBSR_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (2.428s)
2023-01-11T21:58:19.9502824Z   test_transpose_SparseBSR_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (2.438s)
2023-01-11T21:58:19.9502961Z   test_transpose_SparseBSR_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (2.437s)
2023-01-11T21:58:19.9503105Z   test_transpose_SparseCSC_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (1.191s)
2023-01-11T21:58:19.9503245Z   test_transpose_SparseCSC_cpu_bool (__main__.TestSparseCSRCPU) ... ok (1.159s)
2023-01-11T21:58:19.9503419Z   test_transpose_SparseCSC_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (1.205s)
2023-01-11T21:58:19.9503568Z   test_transpose_SparseCSC_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (1.206s)
2023-01-11T21:58:19.9503708Z   test_transpose_SparseCSC_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (1.196s)
2023-01-11T21:58:19.9503846Z   test_transpose_SparseCSC_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (1.201s)
2023-01-11T21:58:19.9504005Z   test_transpose_SparseCSC_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (1.191s)
2023-01-11T21:58:19.9504145Z   test_transpose_SparseCSC_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (1.163s)
2023-01-11T21:58:19.9504284Z   test_transpose_SparseCSC_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (1.164s)
2023-01-11T21:58:19.9504423Z   test_transpose_SparseCSC_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (1.160s)
2023-01-11T21:58:19.9504563Z   test_transpose_SparseCSC_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (1.162s)
2023-01-11T21:58:19.9504702Z   test_transpose_SparseCSC_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (1.167s)
2023-01-11T21:58:19.9504848Z   test_transpose_SparseCSR_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (1.200s)
2023-01-11T21:58:19.9504988Z   test_transpose_SparseCSR_cpu_bool (__main__.TestSparseCSRCPU) ... ok (1.170s)
2023-01-11T21:58:19.9505123Z   test_transpose_SparseCSR_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (1.217s)
2023-01-11T21:58:19.9505270Z   test_transpose_SparseCSR_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (1.218s)
2023-01-11T21:58:19.9505413Z   test_transpose_SparseCSR_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (1.204s)
2023-01-11T21:58:19.9505552Z   test_transpose_SparseCSR_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (1.204s)
2023-01-11T21:58:19.9505689Z   test_transpose_SparseCSR_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (1.199s)
2023-01-11T21:58:19.9505828Z   test_transpose_SparseCSR_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (1.174s)
2023-01-11T21:58:19.9505966Z   test_transpose_SparseCSR_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (1.175s)
2023-01-11T21:58:19.9506105Z   test_transpose_SparseCSR_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (1.173s)
2023-01-11T21:58:19.9506233Z   test_transpose_SparseCSR_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (1.176s)
2023-01-11T21:58:19.9506373Z   test_transpose_SparseCSR_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (1.180s)
2023-01-11T21:58:19.9506545Z   test_zero_to_zero_correspondence_unary_abs_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9506715Z   test_zero_to_zero_correspondence_unary_abs_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9506881Z   test_zero_to_zero_correspondence_unary_abs_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507047Z   test_zero_to_zero_correspondence_unary_abs_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507216Z   test_zero_to_zero_correspondence_unary_abs_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507376Z   test_zero_to_zero_correspondence_unary_abs_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507531Z   test_zero_to_zero_correspondence_unary_abs_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507683Z   test_zero_to_zero_correspondence_unary_abs_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507844Z   test_zero_to_zero_correspondence_unary_abs_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9507998Z   test_zero_to_zero_correspondence_unary_abs_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9508155Z   test_zero_to_zero_correspondence_unary_abs_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9508316Z   test_zero_to_zero_correspondence_unary_abs_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9508518Z   test_zero_to_zero_correspondence_unary_angle_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9508684Z   test_zero_to_zero_correspondence_unary_angle_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9508856Z   test_zero_to_zero_correspondence_unary_angle_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9509026Z   test_zero_to_zero_correspondence_unary_angle_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9509210Z   test_zero_to_zero_correspondence_unary_angle_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9509373Z   test_zero_to_zero_correspondence_unary_angle_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9509534Z   test_zero_to_zero_correspondence_unary_angle_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9509696Z   test_zero_to_zero_correspondence_unary_angle_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9509857Z   test_zero_to_zero_correspondence_unary_angle_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510013Z   test_zero_to_zero_correspondence_unary_angle_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510172Z   test_zero_to_zero_correspondence_unary_angle_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510334Z   test_zero_to_zero_correspondence_unary_angle_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510496Z   test_zero_to_zero_correspondence_unary_asin_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510647Z   test_zero_to_zero_correspondence_unary_asin_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510814Z   test_zero_to_zero_correspondence_unary_asin_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9510984Z   test_zero_to_zero_correspondence_unary_asin_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9511148Z   test_zero_to_zero_correspondence_unary_asin_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9511307Z   test_zero_to_zero_correspondence_unary_asin_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9511468Z   test_zero_to_zero_correspondence_unary_asin_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9511623Z   test_zero_to_zero_correspondence_unary_asin_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9511777Z   test_zero_to_zero_correspondence_unary_asin_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9511926Z   test_zero_to_zero_correspondence_unary_asin_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9512084Z   test_zero_to_zero_correspondence_unary_asin_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9512249Z   test_zero_to_zero_correspondence_unary_asinh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9512408Z   test_zero_to_zero_correspondence_unary_asinh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9512578Z   test_zero_to_zero_correspondence_unary_asinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9512746Z   test_zero_to_zero_correspondence_unary_asinh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9512913Z   test_zero_to_zero_correspondence_unary_asinh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9513074Z   test_zero_to_zero_correspondence_unary_asinh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9513233Z   test_zero_to_zero_correspondence_unary_asinh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9513404Z   test_zero_to_zero_correspondence_unary_asinh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9513669Z   test_zero_to_zero_correspondence_unary_asinh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9513902Z   test_zero_to_zero_correspondence_unary_asinh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9514142Z   test_zero_to_zero_correspondence_unary_asinh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9514312Z   test_zero_to_zero_correspondence_unary_atan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9514513Z   test_zero_to_zero_correspondence_unary_atan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9514683Z   test_zero_to_zero_correspondence_unary_atan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9514853Z   test_zero_to_zero_correspondence_unary_atan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515017Z   test_zero_to_zero_correspondence_unary_atan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515168Z   test_zero_to_zero_correspondence_unary_atan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515333Z   test_zero_to_zero_correspondence_unary_atan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515492Z   test_zero_to_zero_correspondence_unary_atan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515648Z   test_zero_to_zero_correspondence_unary_atan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515810Z   test_zero_to_zero_correspondence_unary_atan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9515967Z   test_zero_to_zero_correspondence_unary_atan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9516136Z   test_zero_to_zero_correspondence_unary_atanh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9516293Z   test_zero_to_zero_correspondence_unary_atanh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9516467Z   test_zero_to_zero_correspondence_unary_atanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9516626Z   test_zero_to_zero_correspondence_unary_atanh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9516797Z   test_zero_to_zero_correspondence_unary_atanh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9516959Z   test_zero_to_zero_correspondence_unary_atanh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9517124Z   test_zero_to_zero_correspondence_unary_atanh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9517282Z   test_zero_to_zero_correspondence_unary_atanh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9517436Z   test_zero_to_zero_correspondence_unary_atanh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9517596Z   test_zero_to_zero_correspondence_unary_atanh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9517761Z   test_zero_to_zero_correspondence_unary_atanh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9517924Z   test_zero_to_zero_correspondence_unary_ceil_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9518077Z   test_zero_to_zero_correspondence_unary_ceil_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9518236Z   test_zero_to_zero_correspondence_unary_ceil_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9518403Z   test_zero_to_zero_correspondence_unary_ceil_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9518562Z   test_zero_to_zero_correspondence_unary_ceil_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9518717Z   test_zero_to_zero_correspondence_unary_ceil_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9518875Z   test_zero_to_zero_correspondence_unary_ceil_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9519069Z   test_zero_to_zero_correspondence_unary_ceil_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9519246Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9519418Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9519615Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9519797Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9519975Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9520151Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9520325Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9520499Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9520671Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9520844Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9521017Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9521175Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9521345Z   test_zero_to_zero_correspondence_unary_conj_physical_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9521515Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9521682Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9521851Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9522021Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9522195Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9522363Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9522525Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9522677Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9522845Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9523009Z   test_zero_to_zero_correspondence_unary_deg2rad_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9523172Z   test_zero_to_zero_correspondence_unary_erf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9523332Z   test_zero_to_zero_correspondence_unary_erf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9523610Z   test_zero_to_zero_correspondence_unary_erf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9523772Z   test_zero_to_zero_correspondence_unary_erf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9523933Z   test_zero_to_zero_correspondence_unary_erf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9524092Z   test_zero_to_zero_correspondence_unary_erf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9524285Z   test_zero_to_zero_correspondence_unary_erf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9524445Z   test_zero_to_zero_correspondence_unary_erf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9524686Z   test_zero_to_zero_correspondence_unary_erf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9524861Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9525070Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9525241Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9525409Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9525575Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9525737Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9525883Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9526048Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9526212Z   test_zero_to_zero_correspondence_unary_erfinv_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9526381Z   test_zero_to_zero_correspondence_unary_expm1_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9526543Z   test_zero_to_zero_correspondence_unary_expm1_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9526706Z   test_zero_to_zero_correspondence_unary_expm1_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9526869Z   test_zero_to_zero_correspondence_unary_expm1_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527035Z   test_zero_to_zero_correspondence_unary_expm1_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527194Z   test_zero_to_zero_correspondence_unary_expm1_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527340Z   test_zero_to_zero_correspondence_unary_expm1_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527502Z   test_zero_to_zero_correspondence_unary_expm1_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527664Z   test_zero_to_zero_correspondence_unary_expm1_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527828Z   test_zero_to_zero_correspondence_unary_floor_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9527993Z   test_zero_to_zero_correspondence_unary_floor_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9528157Z   test_zero_to_zero_correspondence_unary_floor_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9528319Z   test_zero_to_zero_correspondence_unary_floor_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9528474Z   test_zero_to_zero_correspondence_unary_floor_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9528629Z   test_zero_to_zero_correspondence_unary_floor_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9528780Z   test_zero_to_zero_correspondence_unary_floor_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9528933Z   test_zero_to_zero_correspondence_unary_floor_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9529098Z   test_zero_to_zero_correspondence_unary_frac_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9529261Z   test_zero_to_zero_correspondence_unary_frac_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9529418Z   test_zero_to_zero_correspondence_unary_frac_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9529603Z   test_zero_to_zero_correspondence_unary_frac_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9529770Z   test_zero_to_zero_correspondence_unary_isinf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9529930Z   test_zero_to_zero_correspondence_unary_isinf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9530127Z   test_zero_to_zero_correspondence_unary_isinf_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9530284Z   test_zero_to_zero_correspondence_unary_isinf_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9530452Z   test_zero_to_zero_correspondence_unary_isinf_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9530614Z   test_zero_to_zero_correspondence_unary_isinf_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9530775Z   test_zero_to_zero_correspondence_unary_isinf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9530934Z   test_zero_to_zero_correspondence_unary_isinf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9531094Z   test_zero_to_zero_correspondence_unary_isinf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9531249Z   test_zero_to_zero_correspondence_unary_isinf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9531403Z   test_zero_to_zero_correspondence_unary_isinf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9531552Z   test_zero_to_zero_correspondence_unary_isinf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9531712Z   test_zero_to_zero_correspondence_unary_isinf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9531877Z   test_zero_to_zero_correspondence_unary_isnan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9532044Z   test_zero_to_zero_correspondence_unary_isnan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9532212Z   test_zero_to_zero_correspondence_unary_isnan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9532378Z   test_zero_to_zero_correspondence_unary_isnan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9532541Z   test_zero_to_zero_correspondence_unary_isnan_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9532705Z   test_zero_to_zero_correspondence_unary_isnan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9532866Z   test_zero_to_zero_correspondence_unary_isnan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533015Z   test_zero_to_zero_correspondence_unary_isnan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533175Z   test_zero_to_zero_correspondence_unary_isnan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533331Z   test_zero_to_zero_correspondence_unary_isnan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533490Z   test_zero_to_zero_correspondence_unary_isnan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533646Z   test_zero_to_zero_correspondence_unary_isnan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533816Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9533984Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9534152Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9534320Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9534475Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9534669Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9534832Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9534999Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9535189Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9535357Z   test_zero_to_zero_correspondence_unary_isneginf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9535526Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9535691Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9535861Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9536017Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9536184Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9536348Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9536515Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9536682Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9536849Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537011Z   test_zero_to_zero_correspondence_unary_isposinf_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537174Z   test_zero_to_zero_correspondence_unary_log1p_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537337Z   test_zero_to_zero_correspondence_unary_log1p_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537494Z   test_zero_to_zero_correspondence_unary_log1p_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537664Z   test_zero_to_zero_correspondence_unary_log1p_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537827Z   test_zero_to_zero_correspondence_unary_log1p_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9537988Z   test_zero_to_zero_correspondence_unary_log1p_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9538151Z   test_zero_to_zero_correspondence_unary_log1p_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9538308Z   test_zero_to_zero_correspondence_unary_log1p_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9538467Z   test_zero_to_zero_correspondence_unary_log1p_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9538628Z   test_zero_to_zero_correspondence_unary_log1p_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9538794Z   test_zero_to_zero_correspondence_unary_log1p_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9538945Z   test_zero_to_zero_correspondence_unary_neg_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9539115Z   test_zero_to_zero_correspondence_unary_neg_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9539279Z   test_zero_to_zero_correspondence_unary_neg_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9539443Z   test_zero_to_zero_correspondence_unary_neg_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9539600Z   test_zero_to_zero_correspondence_unary_neg_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9539784Z   test_zero_to_zero_correspondence_unary_neg_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9539939Z   test_zero_to_zero_correspondence_unary_neg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9540100Z   test_zero_to_zero_correspondence_unary_neg_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9540281Z   test_zero_to_zero_correspondence_unary_neg_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9540430Z   test_zero_to_zero_correspondence_unary_neg_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9540588Z   test_zero_to_zero_correspondence_unary_neg_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9540747Z   test_zero_to_zero_correspondence_unary_neg_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9540934Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9541116Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9541296Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9541469Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9541647Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9541822Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9541985Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9542158Z   test_zero_to_zero_correspondence_unary_nn_functional_relu_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9542331Z   test_zero_to_zero_correspondence_unary_positive_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9542504Z   test_zero_to_zero_correspondence_unary_positive_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9542678Z   test_zero_to_zero_correspondence_unary_positive_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9542853Z   test_zero_to_zero_correspondence_unary_positive_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9543022Z   test_zero_to_zero_correspondence_unary_positive_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9543188Z   test_zero_to_zero_correspondence_unary_positive_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9543354Z   test_zero_to_zero_correspondence_unary_positive_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9543510Z   test_zero_to_zero_correspondence_unary_positive_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9543671Z   test_zero_to_zero_correspondence_unary_positive_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9543834Z   test_zero_to_zero_correspondence_unary_positive_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9544001Z   test_zero_to_zero_correspondence_unary_positive_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9544169Z   test_zero_to_zero_correspondence_unary_positive_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9544337Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9544503Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9544671Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9544901Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9545054Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9545220Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9545415Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9545582Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9545748Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9545913Z   test_zero_to_zero_correspondence_unary_rad2deg_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9546084Z   test_zero_to_zero_correspondence_unary_round_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9546254Z   test_zero_to_zero_correspondence_unary_round_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9546419Z   test_zero_to_zero_correspondence_unary_round_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9546572Z   test_zero_to_zero_correspondence_unary_round_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9546739Z   test_zero_to_zero_correspondence_unary_round_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9546898Z   test_zero_to_zero_correspondence_unary_round_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9547060Z   test_zero_to_zero_correspondence_unary_round_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9547219Z   test_zero_to_zero_correspondence_unary_round_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9547386Z   test_zero_to_zero_correspondence_unary_sgn_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9547547Z   test_zero_to_zero_correspondence_unary_sgn_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9547712Z   test_zero_to_zero_correspondence_unary_sgn_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9547877Z   test_zero_to_zero_correspondence_unary_sgn_cpu_complex32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548031Z   test_zero_to_zero_correspondence_unary_sgn_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548195Z   test_zero_to_zero_correspondence_unary_sgn_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548354Z   test_zero_to_zero_correspondence_unary_sgn_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548511Z   test_zero_to_zero_correspondence_unary_sgn_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548671Z   test_zero_to_zero_correspondence_unary_sgn_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548831Z   test_zero_to_zero_correspondence_unary_sgn_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9548984Z   test_zero_to_zero_correspondence_unary_sgn_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9549142Z   test_zero_to_zero_correspondence_unary_sgn_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9549305Z   test_zero_to_zero_correspondence_unary_sgn_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9549457Z   test_zero_to_zero_correspondence_unary_sign_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9549614Z   test_zero_to_zero_correspondence_unary_sign_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9549778Z   test_zero_to_zero_correspondence_unary_sign_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9549963Z   test_zero_to_zero_correspondence_unary_sign_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9550121Z   test_zero_to_zero_correspondence_unary_sign_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9550284Z   test_zero_to_zero_correspondence_unary_sign_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9550444Z   test_zero_to_zero_correspondence_unary_sign_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9550630Z   test_zero_to_zero_correspondence_unary_sign_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9550789Z   test_zero_to_zero_correspondence_unary_sign_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9550934Z   test_zero_to_zero_correspondence_unary_sign_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9551103Z   test_zero_to_zero_correspondence_unary_signbit_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9551268Z   test_zero_to_zero_correspondence_unary_signbit_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9551434Z   test_zero_to_zero_correspondence_unary_signbit_cpu_float16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9551601Z   test_zero_to_zero_correspondence_unary_signbit_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9551767Z   test_zero_to_zero_correspondence_unary_signbit_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9551933Z   test_zero_to_zero_correspondence_unary_signbit_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9552094Z   test_zero_to_zero_correspondence_unary_signbit_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9552256Z   test_zero_to_zero_correspondence_unary_signbit_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9552409Z   test_zero_to_zero_correspondence_unary_signbit_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9552572Z   test_zero_to_zero_correspondence_unary_signbit_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9552732Z   test_zero_to_zero_correspondence_unary_sin_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9552892Z   test_zero_to_zero_correspondence_unary_sin_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9553058Z   test_zero_to_zero_correspondence_unary_sin_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9553220Z   test_zero_to_zero_correspondence_unary_sin_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9553380Z   test_zero_to_zero_correspondence_unary_sin_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9553540Z   test_zero_to_zero_correspondence_unary_sin_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9553697Z   test_zero_to_zero_correspondence_unary_sin_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9553843Z   test_zero_to_zero_correspondence_unary_sin_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9554059Z   test_zero_to_zero_correspondence_unary_sin_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9554222Z   test_zero_to_zero_correspondence_unary_sin_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9554387Z   test_zero_to_zero_correspondence_unary_sin_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9554553Z   test_zero_to_zero_correspondence_unary_sinh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9554714Z   test_zero_to_zero_correspondence_unary_sinh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9554885Z   test_zero_to_zero_correspondence_unary_sinh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9555052Z   test_zero_to_zero_correspondence_unary_sinh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9555262Z   test_zero_to_zero_correspondence_unary_sinh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9555411Z   test_zero_to_zero_correspondence_unary_sinh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9555573Z   test_zero_to_zero_correspondence_unary_sinh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9555755Z   test_zero_to_zero_correspondence_unary_sinh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9555908Z   test_zero_to_zero_correspondence_unary_sinh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9556069Z   test_zero_to_zero_correspondence_unary_sinh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9556232Z   test_zero_to_zero_correspondence_unary_sinh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9556400Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9556560Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9556716Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9556885Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9557052Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9557211Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9557372Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9557529Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9557691Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9557852Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558010Z   test_zero_to_zero_correspondence_unary_sqrt_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558160Z   test_zero_to_zero_correspondence_unary_tan_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558323Z   test_zero_to_zero_correspondence_unary_tan_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558489Z   test_zero_to_zero_correspondence_unary_tan_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558654Z   test_zero_to_zero_correspondence_unary_tan_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558818Z   test_zero_to_zero_correspondence_unary_tan_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9558978Z   test_zero_to_zero_correspondence_unary_tan_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9559135Z   test_zero_to_zero_correspondence_unary_tan_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9559292Z   test_zero_to_zero_correspondence_unary_tan_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9559445Z   test_zero_to_zero_correspondence_unary_tan_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9559593Z   test_zero_to_zero_correspondence_unary_tan_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9559755Z   test_zero_to_zero_correspondence_unary_tan_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9559918Z   test_zero_to_zero_correspondence_unary_tanh_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9560075Z   test_zero_to_zero_correspondence_unary_tanh_cpu_bool (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9560269Z   test_zero_to_zero_correspondence_unary_tanh_cpu_complex128 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9560437Z   test_zero_to_zero_correspondence_unary_tanh_cpu_complex64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9560600Z   test_zero_to_zero_correspondence_unary_tanh_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9560759Z   test_zero_to_zero_correspondence_unary_tanh_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9560946Z   test_zero_to_zero_correspondence_unary_tanh_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9561089Z   test_zero_to_zero_correspondence_unary_tanh_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9561241Z   test_zero_to_zero_correspondence_unary_tanh_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9561399Z   test_zero_to_zero_correspondence_unary_tanh_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9561559Z   test_zero_to_zero_correspondence_unary_tanh_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9561726Z   test_zero_to_zero_correspondence_unary_trunc_cpu_bfloat16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9561887Z   test_zero_to_zero_correspondence_unary_trunc_cpu_float32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562046Z   test_zero_to_zero_correspondence_unary_trunc_cpu_float64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562209Z   test_zero_to_zero_correspondence_unary_trunc_cpu_int16 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562372Z   test_zero_to_zero_correspondence_unary_trunc_cpu_int32 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562518Z   test_zero_to_zero_correspondence_unary_trunc_cpu_int64 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562679Z   test_zero_to_zero_correspondence_unary_trunc_cpu_int8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562837Z   test_zero_to_zero_correspondence_unary_trunc_cpu_uint8 (__main__.TestSparseCSRCPU) ... ok (0.002s)
2023-01-11T21:58:19.9562969Z   test_make_crow_indices (__main__.TestSparseCSRSampler) ... ok (0.403s)
2023-01-11T21:58:19.9563125Z   test_clone_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.101s)
2023-01-11T21:58:19.9563278Z   test_clone_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.103s)
2023-01-11T21:58:19.9563538Z   test_clone_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9563696Z   test_clone_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9563839Z   test_clone_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.108s)
2023-01-11T21:58:19.9563993Z   test_clone_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.108s)
2023-01-11T21:58:19.9564142Z   test_clone_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.107s)
2023-01-11T21:58:19.9564295Z   test_clone_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.105s)
2023-01-11T21:58:19.9564442Z   test_clone_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.100s)
2023-01-11T21:58:19.9564583Z   test_clone_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.098s)
2023-01-11T21:58:19.9564727Z   test_clone_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.098s)
2023-01-11T21:58:19.9564882Z   test_clone_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.099s)
2023-01-11T21:58:19.9565037Z   test_clone_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9565172Z   test_clone_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.089s)
2023-01-11T21:58:19.9565330Z   test_clone_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.097s)
2023-01-11T21:58:19.9565486Z   test_clone_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.097s)
2023-01-11T21:58:19.9565676Z   test_clone_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9565817Z   test_clone_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9565964Z   test_clone_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9566115Z   test_clone_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9566301Z   test_clone_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:19.9566432Z   test_clone_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:19.9566581Z   test_clone_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:19.9566729Z   test_clone_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:19.9566883Z   test_clone_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.059s)
2023-01-11T21:58:19.9567037Z   test_clone_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9567196Z   test_clone_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.064s)
2023-01-11T21:58:19.9567351Z   test_clone_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.064s)
2023-01-11T21:58:19.9567502Z   test_clone_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.060s)
2023-01-11T21:58:19.9567642Z   test_clone_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.060s)
2023-01-11T21:58:19.9567785Z   test_clone_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.059s)
2023-01-11T21:58:19.9567932Z   test_clone_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9568073Z   test_clone_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9568219Z   test_clone_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9568365Z   test_clone_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9568506Z   test_clone_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9568654Z   test_clone_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9568793Z   test_clone_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9568944Z   test_clone_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.055s)
2023-01-11T21:58:19.9569099Z   test_clone_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.055s)
2023-01-11T21:58:19.9569249Z   test_clone_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9569396Z   test_clone_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9569540Z   test_clone_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:19.9569689Z   test_clone_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.048s)
2023-01-11T21:58:19.9569834Z   test_clone_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9569974Z   test_clone_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9570111Z   test_clone_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9570255Z   test_clone_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.048s)
2023-01-11T21:58:19.9570422Z   test_consistency_SparseBSC_abs_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9570592Z   test_consistency_SparseBSC_abs_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9570758Z   test_consistency_SparseBSC_abs_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9570953Z   test_consistency_SparseBSC_abs_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9571119Z   test_consistency_SparseBSC_abs_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9571284Z   test_consistency_SparseBSC_abs_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9571437Z   test_consistency_SparseBSC_abs_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9571627Z   test_consistency_SparseBSC_abs_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9571787Z   test_consistency_SparseBSC_abs_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9571942Z   test_consistency_SparseBSC_abs_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9572105Z   test_consistency_SparseBSC_abs_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9572268Z   test_consistency_SparseBSC_abs_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9572437Z   test_consistency_SparseBSC_angle_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9572601Z   test_consistency_SparseBSC_angle_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9572774Z   test_consistency_SparseBSC_angle_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9572934Z   test_consistency_SparseBSC_angle_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9573102Z   test_consistency_SparseBSC_angle_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9573267Z   test_consistency_SparseBSC_angle_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9573432Z   test_consistency_SparseBSC_angle_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9573598Z   test_consistency_SparseBSC_angle_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9573759Z   test_consistency_SparseBSC_angle_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9573922Z   test_consistency_SparseBSC_angle_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9574085Z   test_consistency_SparseBSC_angle_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9574245Z   test_consistency_SparseBSC_angle_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9574399Z   test_consistency_SparseBSC_asin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9574562Z   test_consistency_SparseBSC_asin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9574730Z   test_consistency_SparseBSC_asin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9574898Z   test_consistency_SparseBSC_asin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9575066Z   test_consistency_SparseBSC_asin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9575231Z   test_consistency_SparseBSC_asin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9575392Z   test_consistency_SparseBSC_asin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9575556Z   test_consistency_SparseBSC_asin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9575705Z   test_consistency_SparseBSC_asin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9575866Z   test_consistency_SparseBSC_asin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9576024Z   test_consistency_SparseBSC_asin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9576191Z   test_consistency_SparseBSC_asinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9576380Z   test_consistency_SparseBSC_asinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9576554Z   test_consistency_SparseBSC_asinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9576725Z   test_consistency_SparseBSC_asinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9576891Z   test_consistency_SparseBSC_asinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9577085Z   test_consistency_SparseBSC_asinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9577237Z   test_consistency_SparseBSC_asinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9577400Z   test_consistency_SparseBSC_asinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9577560Z   test_consistency_SparseBSC_asinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9577723Z   test_consistency_SparseBSC_asinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9577881Z   test_consistency_SparseBSC_asinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9578044Z   test_consistency_SparseBSC_atan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9578205Z   test_consistency_SparseBSC_atan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9578376Z   test_consistency_SparseBSC_atan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9578543Z   test_consistency_SparseBSC_atan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9578696Z   test_consistency_SparseBSC_atan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9578861Z   test_consistency_SparseBSC_atan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9579030Z   test_consistency_SparseBSC_atan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9579191Z   test_consistency_SparseBSC_atan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9579352Z   test_consistency_SparseBSC_atan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9579513Z   test_consistency_SparseBSC_atan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9579673Z   test_consistency_SparseBSC_atan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9579842Z   test_consistency_SparseBSC_atanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580005Z   test_consistency_SparseBSC_atanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580167Z   test_consistency_SparseBSC_atanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580338Z   test_consistency_SparseBSC_atanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580501Z   test_consistency_SparseBSC_atanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580668Z   test_consistency_SparseBSC_atanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580829Z   test_consistency_SparseBSC_atanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9580992Z   test_consistency_SparseBSC_atanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9581153Z   test_consistency_SparseBSC_atanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9581312Z   test_consistency_SparseBSC_atanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9581461Z   test_consistency_SparseBSC_atanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9581651Z   test_consistency_SparseBSC_ceil_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9581819Z   test_consistency_SparseBSC_ceil_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9581984Z   test_consistency_SparseBSC_ceil_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9582144Z   test_consistency_SparseBSC_ceil_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9582334Z   test_consistency_SparseBSC_ceil_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9582494Z   test_consistency_SparseBSC_ceil_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9582654Z   test_consistency_SparseBSC_ceil_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9582813Z   test_consistency_SparseBSC_ceil_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9582984Z   test_consistency_SparseBSC_conj_physical_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9583160Z   test_consistency_SparseBSC_conj_physical_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9583342Z   test_consistency_SparseBSC_conj_physical_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9583524Z   test_consistency_SparseBSC_conj_physical_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9583708Z   test_consistency_SparseBSC_conj_physical_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9583885Z   test_consistency_SparseBSC_conj_physical_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9584061Z   test_consistency_SparseBSC_conj_physical_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9584238Z   test_consistency_SparseBSC_conj_physical_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9584416Z   test_consistency_SparseBSC_conj_physical_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9584579Z   test_consistency_SparseBSC_conj_physical_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9584748Z   test_consistency_SparseBSC_conj_physical_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9584926Z   test_consistency_SparseBSC_conj_physical_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9585102Z   test_consistency_SparseBSC_conj_physical_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9585274Z   test_consistency_SparseBSC_deg2rad_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9585443Z   test_consistency_SparseBSC_deg2rad_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9585613Z   test_consistency_SparseBSC_deg2rad_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9585782Z   test_consistency_SparseBSC_deg2rad_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9585944Z   test_consistency_SparseBSC_deg2rad_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9586100Z   test_consistency_SparseBSC_deg2rad_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9586266Z   test_consistency_SparseBSC_deg2rad_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9586540Z   test_consistency_SparseBSC_deg2rad_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9586708Z   test_consistency_SparseBSC_deg2rad_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9586875Z   test_consistency_SparseBSC_deg2rad_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9587042Z   test_consistency_SparseBSC_erf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9587239Z   test_consistency_SparseBSC_erf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9587408Z   test_consistency_SparseBSC_erf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9587575Z   test_consistency_SparseBSC_erf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9587724Z   test_consistency_SparseBSC_erf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9587923Z   test_consistency_SparseBSC_erf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9588081Z   test_consistency_SparseBSC_erf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9588243Z   test_consistency_SparseBSC_erf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9588406Z   test_consistency_SparseBSC_erf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9588579Z   test_consistency_SparseBSC_erfinv_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9588741Z   test_consistency_SparseBSC_erfinv_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9588909Z   test_consistency_SparseBSC_erfinv_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9589067Z   test_consistency_SparseBSC_erfinv_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9589233Z   test_consistency_SparseBSC_erfinv_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9589395Z   test_consistency_SparseBSC_erfinv_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9589556Z   test_consistency_SparseBSC_erfinv_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9589720Z   test_consistency_SparseBSC_erfinv_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9589882Z   test_consistency_SparseBSC_erfinv_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9590052Z   test_consistency_SparseBSC_expm1_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9590215Z   test_consistency_SparseBSC_expm1_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9590381Z   test_consistency_SparseBSC_expm1_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9590539Z   test_consistency_SparseBSC_expm1_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9590697Z   test_consistency_SparseBSC_expm1_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9590851Z   test_consistency_SparseBSC_expm1_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591011Z   test_consistency_SparseBSC_expm1_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591170Z   test_consistency_SparseBSC_expm1_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591330Z   test_consistency_SparseBSC_expm1_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591496Z   test_consistency_SparseBSC_floor_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591657Z   test_consistency_SparseBSC_floor_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591824Z   test_consistency_SparseBSC_floor_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9591971Z   test_consistency_SparseBSC_floor_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9592131Z   test_consistency_SparseBSC_floor_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9592287Z   test_consistency_SparseBSC_floor_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9592443Z   test_consistency_SparseBSC_floor_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9592646Z   test_consistency_SparseBSC_floor_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9592813Z   test_consistency_SparseBSC_frac_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9592973Z   test_consistency_SparseBSC_frac_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9593165Z   test_consistency_SparseBSC_frac_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9593317Z   test_consistency_SparseBSC_frac_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9593482Z   test_consistency_SparseBSC_isinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9593637Z   test_consistency_SparseBSC_isinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9593808Z   test_consistency_SparseBSC_isinf_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9594040Z   test_consistency_SparseBSC_isinf_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9594211Z   test_consistency_SparseBSC_isinf_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9594381Z   test_consistency_SparseBSC_isinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9594549Z   test_consistency_SparseBSC_isinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9594717Z   test_consistency_SparseBSC_isinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9594867Z   test_consistency_SparseBSC_isinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9595032Z   test_consistency_SparseBSC_isinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9595195Z   test_consistency_SparseBSC_isinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9595360Z   test_consistency_SparseBSC_isinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9595521Z   test_consistency_SparseBSC_isinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9595692Z   test_consistency_SparseBSC_isnan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9595855Z   test_consistency_SparseBSC_isnan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596024Z   test_consistency_SparseBSC_isnan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596192Z   test_consistency_SparseBSC_isnan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596346Z   test_consistency_SparseBSC_isnan_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596510Z   test_consistency_SparseBSC_isnan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596673Z   test_consistency_SparseBSC_isnan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596828Z   test_consistency_SparseBSC_isnan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9596987Z   test_consistency_SparseBSC_isnan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9597144Z   test_consistency_SparseBSC_isnan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9597308Z   test_consistency_SparseBSC_isnan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9597466Z   test_consistency_SparseBSC_isnan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9597634Z   test_consistency_SparseBSC_isneginf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9597789Z   test_consistency_SparseBSC_isneginf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9597988Z   test_consistency_SparseBSC_isneginf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9598156Z   test_consistency_SparseBSC_isneginf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9598322Z   test_consistency_SparseBSC_isneginf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9598485Z   test_consistency_SparseBSC_isneginf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9598675Z   test_consistency_SparseBSC_isneginf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9598832Z   test_consistency_SparseBSC_isneginf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9598994Z   test_consistency_SparseBSC_isneginf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9599150Z   test_consistency_SparseBSC_isneginf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9599317Z   test_consistency_SparseBSC_isposinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9599479Z   test_consistency_SparseBSC_isposinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9599644Z   test_consistency_SparseBSC_isposinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9599808Z   test_consistency_SparseBSC_isposinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9599972Z   test_consistency_SparseBSC_isposinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9600132Z   test_consistency_SparseBSC_isposinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9600290Z   test_consistency_SparseBSC_isposinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9600442Z   test_consistency_SparseBSC_isposinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9600596Z   test_consistency_SparseBSC_isposinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9600758Z   test_consistency_SparseBSC_isposinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9600917Z   test_consistency_SparseBSC_log1p_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9601075Z   test_consistency_SparseBSC_log1p_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9601243Z   test_consistency_SparseBSC_log1p_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9601408Z   test_consistency_SparseBSC_log1p_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9601572Z   test_consistency_SparseBSC_log1p_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9601731Z   test_consistency_SparseBSC_log1p_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9601894Z   test_consistency_SparseBSC_log1p_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9602045Z   test_consistency_SparseBSC_log1p_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9602202Z   test_consistency_SparseBSC_log1p_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9602358Z   test_consistency_SparseBSC_log1p_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9602515Z   test_consistency_SparseBSC_log1p_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9602763Z   test_consistency_SparseBSC_masked_amax_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9603006Z   test_consistency_SparseBSC_masked_amax_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9603293Z   test_consistency_SparseBSC_masked_amax_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9603636Z   test_consistency_SparseBSC_masked_amax_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9603878Z   test_consistency_SparseBSC_masked_amax_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9604167Z   test_consistency_SparseBSC_masked_amax_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9604404Z   test_consistency_SparseBSC_masked_amax_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9604637Z   test_consistency_SparseBSC_masked_amax_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9604878Z   test_consistency_SparseBSC_masked_amax_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9605118Z   test_consistency_SparseBSC_masked_amin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9605361Z   test_consistency_SparseBSC_masked_amin_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9605597Z   test_consistency_SparseBSC_masked_amin_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9605831Z   test_consistency_SparseBSC_masked_amin_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9606067Z   test_consistency_SparseBSC_masked_amin_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9606301Z   test_consistency_SparseBSC_masked_amin_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9606537Z   test_consistency_SparseBSC_masked_amin_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9606772Z   test_consistency_SparseBSC_masked_amin_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9607016Z   test_consistency_SparseBSC_masked_amin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9607260Z   test_consistency_SparseBSC_masked_mean_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9607488Z   test_consistency_SparseBSC_masked_mean_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9607736Z   test_consistency_SparseBSC_masked_mean_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9607978Z   test_consistency_SparseBSC_masked_mean_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9608250Z   test_consistency_SparseBSC_masked_mean_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9608486Z   test_consistency_SparseBSC_masked_mean_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9608719Z   test_consistency_SparseBSC_masked_mean_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9608990Z   test_consistency_SparseBSC_masked_mean_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9609226Z   test_consistency_SparseBSC_masked_mean_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9609463Z   test_consistency_SparseBSC_masked_mean_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9609699Z   test_consistency_SparseBSC_masked_mean_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9609934Z   test_consistency_SparseBSC_masked_mean_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9610179Z   test_consistency_SparseBSC_masked_prod_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9610419Z   test_consistency_SparseBSC_masked_prod_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9610657Z   test_consistency_SparseBSC_masked_prod_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9610903Z   test_consistency_SparseBSC_masked_prod_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9611149Z   test_consistency_SparseBSC_masked_prod_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9611390Z   test_consistency_SparseBSC_masked_prod_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9611626Z   test_consistency_SparseBSC_masked_prod_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9611859Z   test_consistency_SparseBSC_masked_prod_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9612095Z   test_consistency_SparseBSC_masked_prod_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9612334Z   test_consistency_SparseBSC_masked_prod_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9612568Z   test_consistency_SparseBSC_masked_prod_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9612808Z   test_consistency_SparseBSC_masked_sum_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9613042Z   test_consistency_SparseBSC_masked_sum_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9613309Z   test_consistency_SparseBSC_masked_sum_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9613550Z   test_consistency_SparseBSC_masked_sum_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9613777Z   test_consistency_SparseBSC_masked_sum_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9614035Z   test_consistency_SparseBSC_masked_sum_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9614268Z   test_consistency_SparseBSC_masked_sum_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9614503Z   test_consistency_SparseBSC_masked_sum_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9614728Z   test_consistency_SparseBSC_masked_sum_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9614967Z   test_consistency_SparseBSC_masked_sum_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9615204Z   test_consistency_SparseBSC_masked_sum_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9615436Z   test_consistency_SparseBSC_masked_sum_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9615602Z   test_consistency_SparseBSC_neg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9615773Z   test_consistency_SparseBSC_neg_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9615941Z   test_consistency_SparseBSC_neg_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9616097Z   test_consistency_SparseBSC_neg_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9616257Z   test_consistency_SparseBSC_neg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9616422Z   test_consistency_SparseBSC_neg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9616583Z   test_consistency_SparseBSC_neg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9616737Z   test_consistency_SparseBSC_neg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9616892Z   test_consistency_SparseBSC_neg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9617051Z   test_consistency_SparseBSC_neg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9617208Z   test_consistency_SparseBSC_neg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9617364Z   test_consistency_SparseBSC_neg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9617535Z   test_consistency_SparseBSC_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9617714Z   test_consistency_SparseBSC_nn_functional_relu_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9617892Z   test_consistency_SparseBSC_nn_functional_relu_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9618065Z   test_consistency_SparseBSC_nn_functional_relu_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9618240Z   test_consistency_SparseBSC_nn_functional_relu_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9618433Z   test_consistency_SparseBSC_nn_functional_relu_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9618609Z   test_consistency_SparseBSC_nn_functional_relu_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9618776Z   test_consistency_SparseBSC_nn_functional_relu_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9618976Z   test_consistency_SparseBSC_positive_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9619141Z   test_consistency_SparseBSC_positive_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9619310Z   test_consistency_SparseBSC_positive_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9619477Z   test_consistency_SparseBSC_positive_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9619643Z   test_consistency_SparseBSC_positive_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9619808Z   test_consistency_SparseBSC_positive_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9619971Z   test_consistency_SparseBSC_positive_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9620136Z   test_consistency_SparseBSC_positive_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9620297Z   test_consistency_SparseBSC_positive_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9620458Z   test_consistency_SparseBSC_positive_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9620612Z   test_consistency_SparseBSC_positive_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9620774Z   test_consistency_SparseBSC_positive_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9620943Z   test_consistency_SparseBSC_rad2deg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9621107Z   test_consistency_SparseBSC_rad2deg_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9621273Z   test_consistency_SparseBSC_rad2deg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9621435Z   test_consistency_SparseBSC_rad2deg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9621600Z   test_consistency_SparseBSC_rad2deg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9621761Z   test_consistency_SparseBSC_rad2deg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9621917Z   test_consistency_SparseBSC_rad2deg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9622082Z   test_consistency_SparseBSC_rad2deg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9622245Z   test_consistency_SparseBSC_rad2deg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9622405Z   test_consistency_SparseBSC_rad2deg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9622646Z   test_consistency_SparseBSC_randn_like_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9622894Z   test_consistency_SparseBSC_randn_like_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9623129Z   test_consistency_SparseBSC_randn_like_cpu_complex32 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9623365Z   test_consistency_SparseBSC_randn_like_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9623633Z   test_consistency_SparseBSC_randn_like_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9623866Z   test_consistency_SparseBSC_randn_like_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9624098Z   test_consistency_SparseBSC_randn_like_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9624320Z   test_consistency_SparseBSC_round_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9624482Z   test_consistency_SparseBSC_round_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9624644Z   test_consistency_SparseBSC_round_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9624806Z   test_consistency_SparseBSC_round_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9624965Z   test_consistency_SparseBSC_round_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9625123Z   test_consistency_SparseBSC_round_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9625284Z   test_consistency_SparseBSC_round_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9625447Z   test_consistency_SparseBSC_round_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9625611Z   test_consistency_SparseBSC_sgn_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9625761Z   test_consistency_SparseBSC_sgn_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9625925Z   test_consistency_SparseBSC_sgn_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9626086Z   test_consistency_SparseBSC_sgn_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9626249Z   test_consistency_SparseBSC_sgn_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9626407Z   test_consistency_SparseBSC_sgn_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9626566Z   test_consistency_SparseBSC_sgn_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9626725Z   test_consistency_SparseBSC_sgn_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9626886Z   test_consistency_SparseBSC_sgn_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627046Z   test_consistency_SparseBSC_sgn_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627197Z   test_consistency_SparseBSC_sgn_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627353Z   test_consistency_SparseBSC_sgn_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627509Z   test_consistency_SparseBSC_sgn_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627671Z   test_consistency_SparseBSC_sign_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627825Z   test_consistency_SparseBSC_sign_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9627986Z   test_consistency_SparseBSC_sign_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9628151Z   test_consistency_SparseBSC_sign_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9628312Z   test_consistency_SparseBSC_sign_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9628462Z   test_consistency_SparseBSC_sign_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9628623Z   test_consistency_SparseBSC_sign_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9628820Z   test_consistency_SparseBSC_sign_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9628978Z   test_consistency_SparseBSC_sign_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9629134Z   test_consistency_SparseBSC_sign_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9629305Z   test_consistency_SparseBSC_signbit_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9629496Z   test_consistency_SparseBSC_signbit_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9629663Z   test_consistency_SparseBSC_signbit_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9629827Z   test_consistency_SparseBSC_signbit_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9629979Z   test_consistency_SparseBSC_signbit_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9630142Z   test_consistency_SparseBSC_signbit_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9630303Z   test_consistency_SparseBSC_signbit_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9630466Z   test_consistency_SparseBSC_signbit_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9630629Z   test_consistency_SparseBSC_signbit_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9630795Z   test_consistency_SparseBSC_signbit_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9630957Z   test_consistency_SparseBSC_sin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9631117Z   test_consistency_SparseBSC_sin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9631281Z   test_consistency_SparseBSC_sin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9631437Z   test_consistency_SparseBSC_sin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9631596Z   test_consistency_SparseBSC_sin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9631761Z   test_consistency_SparseBSC_sin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9631922Z   test_consistency_SparseBSC_sin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9632087Z   test_consistency_SparseBSC_sin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9632243Z   test_consistency_SparseBSC_sin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9632403Z   test_consistency_SparseBSC_sin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9632559Z   test_consistency_SparseBSC_sin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9632716Z   test_consistency_SparseBSC_sinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9632872Z   test_consistency_SparseBSC_sinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9633039Z   test_consistency_SparseBSC_sinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9633206Z   test_consistency_SparseBSC_sinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9633371Z   test_consistency_SparseBSC_sinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9633538Z   test_consistency_SparseBSC_sinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9633697Z   test_consistency_SparseBSC_sinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9633859Z   test_consistency_SparseBSC_sinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9634098Z   test_consistency_SparseBSC_sinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9634289Z   test_consistency_SparseBSC_sinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9634451Z   test_consistency_SparseBSC_sinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9634619Z   test_consistency_SparseBSC_sqrt_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9634811Z   test_consistency_SparseBSC_sqrt_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9634983Z   test_consistency_SparseBSC_sqrt_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9635153Z   test_consistency_SparseBSC_sqrt_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9635319Z   test_consistency_SparseBSC_sqrt_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9635485Z   test_consistency_SparseBSC_sqrt_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9635648Z   test_consistency_SparseBSC_sqrt_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9635798Z   test_consistency_SparseBSC_sqrt_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9635958Z   test_consistency_SparseBSC_sqrt_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9636123Z   test_consistency_SparseBSC_sqrt_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9636286Z   test_consistency_SparseBSC_sqrt_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9636450Z   test_consistency_SparseBSC_tan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9636610Z   test_consistency_SparseBSC_tan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9636778Z   test_consistency_SparseBSC_tan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9636947Z   test_consistency_SparseBSC_tan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9637111Z   test_consistency_SparseBSC_tan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9637264Z   test_consistency_SparseBSC_tan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9637418Z   test_consistency_SparseBSC_tan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9637578Z   test_consistency_SparseBSC_tan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9637737Z   test_consistency_SparseBSC_tan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9637889Z   test_consistency_SparseBSC_tan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9638048Z   test_consistency_SparseBSC_tan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9638217Z   test_consistency_SparseBSC_tanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9638369Z   test_consistency_SparseBSC_tanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9638529Z   test_consistency_SparseBSC_tanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9638696Z   test_consistency_SparseBSC_tanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9638855Z   test_consistency_SparseBSC_tanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9639017Z   test_consistency_SparseBSC_tanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9639178Z   test_consistency_SparseBSC_tanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9639339Z   test_consistency_SparseBSC_tanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9639527Z   test_consistency_SparseBSC_tanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9639688Z   test_consistency_SparseBSC_tanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9639847Z   test_consistency_SparseBSC_tanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9640081Z   test_consistency_SparseBSC_to_sparse_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9640348Z   test_consistency_SparseBSC_to_sparse_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9640591Z   test_consistency_SparseBSC_to_sparse_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9640836Z   test_consistency_SparseBSC_to_sparse_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9641076Z   test_consistency_SparseBSC_to_sparse_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9641314Z   test_consistency_SparseBSC_to_sparse_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9641554Z   test_consistency_SparseBSC_to_sparse_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9641789Z   test_consistency_SparseBSC_to_sparse_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9642012Z   test_consistency_SparseBSC_to_sparse_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9642242Z   test_consistency_SparseBSC_to_sparse_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9642478Z   test_consistency_SparseBSC_to_sparse_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9642714Z   test_consistency_SparseBSC_to_sparse_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsc layout (0.002s)
2023-01-11T21:58:19.9642873Z   test_consistency_SparseBSC_trunc_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9643040Z   test_consistency_SparseBSC_trunc_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9643207Z   test_consistency_SparseBSC_trunc_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9643568Z   test_consistency_SparseBSC_trunc_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9643734Z   test_consistency_SparseBSC_trunc_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9643899Z   test_consistency_SparseBSC_trunc_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9644061Z   test_consistency_SparseBSC_trunc_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9644223Z   test_consistency_SparseBSC_trunc_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9644390Z   test_consistency_SparseBSR_abs_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9644550Z   test_consistency_SparseBSR_abs_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9644716Z   test_consistency_SparseBSR_abs_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9644930Z   test_consistency_SparseBSR_abs_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9645096Z   test_consistency_SparseBSR_abs_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9645259Z   test_consistency_SparseBSR_abs_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9645424Z   test_consistency_SparseBSR_abs_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9645622Z   test_consistency_SparseBSR_abs_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9645783Z   test_consistency_SparseBSR_abs_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9645944Z   test_consistency_SparseBSR_abs_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9646094Z   test_consistency_SparseBSR_abs_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9646251Z   test_consistency_SparseBSR_abs_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9646421Z   test_consistency_SparseBSR_angle_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9646584Z   test_consistency_SparseBSR_angle_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9646753Z   test_consistency_SparseBSR_angle_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9646922Z   test_consistency_SparseBSR_angle_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9647081Z   test_consistency_SparseBSR_angle_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9647247Z   test_consistency_SparseBSR_angle_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9647401Z   test_consistency_SparseBSR_angle_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9647559Z   test_consistency_SparseBSR_angle_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9647724Z   test_consistency_SparseBSR_angle_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9647881Z   test_consistency_SparseBSR_angle_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9648042Z   test_consistency_SparseBSR_angle_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9648200Z   test_consistency_SparseBSR_angle_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9648360Z   test_consistency_SparseBSR_asin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9648522Z   test_consistency_SparseBSR_asin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9648692Z   test_consistency_SparseBSR_asin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9648851Z   test_consistency_SparseBSR_asin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649018Z   test_consistency_SparseBSR_asin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649182Z   test_consistency_SparseBSR_asin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649341Z   test_consistency_SparseBSR_asin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649501Z   test_consistency_SparseBSR_asin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649664Z   test_consistency_SparseBSR_asin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649824Z   test_consistency_SparseBSR_asin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9649984Z   test_consistency_SparseBSR_asin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9650153Z   test_consistency_SparseBSR_asinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9650334Z   test_consistency_SparseBSR_asinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9650508Z   test_consistency_SparseBSR_asinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9650677Z   test_consistency_SparseBSR_asinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9650843Z   test_consistency_SparseBSR_asinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651035Z   test_consistency_SparseBSR_asinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651193Z   test_consistency_SparseBSR_asinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651355Z   test_consistency_SparseBSR_asinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651512Z   test_consistency_SparseBSR_asinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651673Z   test_consistency_SparseBSR_asinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651823Z   test_consistency_SparseBSR_asinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9651981Z   test_consistency_SparseBSR_atan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9652142Z   test_consistency_SparseBSR_atan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9652306Z   test_consistency_SparseBSR_atan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9652474Z   test_consistency_SparseBSR_atan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9652634Z   test_consistency_SparseBSR_atan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9652798Z   test_consistency_SparseBSR_atan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9652955Z   test_consistency_SparseBSR_atan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9653105Z   test_consistency_SparseBSR_atan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9653265Z   test_consistency_SparseBSR_atan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9653426Z   test_consistency_SparseBSR_atan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9653586Z   test_consistency_SparseBSR_atan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9653753Z   test_consistency_SparseBSR_atanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9653907Z   test_consistency_SparseBSR_atanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9654073Z   test_consistency_SparseBSR_atanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9654244Z   test_consistency_SparseBSR_atanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9654403Z   test_consistency_SparseBSR_atanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9654556Z   test_consistency_SparseBSR_atanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9654717Z   test_consistency_SparseBSR_atanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9654875Z   test_consistency_SparseBSR_atanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9655036Z   test_consistency_SparseBSR_atanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9655190Z   test_consistency_SparseBSR_atanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9655345Z   test_consistency_SparseBSR_atanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9655510Z   test_consistency_SparseBSR_ceil_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9655698Z   test_consistency_SparseBSR_ceil_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9655862Z   test_consistency_SparseBSR_ceil_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9656014Z   test_consistency_SparseBSR_ceil_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9656196Z   test_consistency_SparseBSR_ceil_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9656357Z   test_consistency_SparseBSR_ceil_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9656517Z   test_consistency_SparseBSR_ceil_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9656674Z   test_consistency_SparseBSR_ceil_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9656854Z   test_consistency_SparseBSR_conj_physical_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9657031Z   test_consistency_SparseBSR_conj_physical_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9657212Z   test_consistency_SparseBSR_conj_physical_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9657395Z   test_consistency_SparseBSR_conj_physical_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9657565Z   test_consistency_SparseBSR_conj_physical_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9657740Z   test_consistency_SparseBSR_conj_physical_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9657915Z   test_consistency_SparseBSR_conj_physical_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9658090Z   test_consistency_SparseBSR_conj_physical_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9658264Z   test_consistency_SparseBSR_conj_physical_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9658432Z   test_consistency_SparseBSR_conj_physical_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9658605Z   test_consistency_SparseBSR_conj_physical_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9658779Z   test_consistency_SparseBSR_conj_physical_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9658954Z   test_consistency_SparseBSR_conj_physical_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9659116Z   test_consistency_SparseBSR_deg2rad_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9659285Z   test_consistency_SparseBSR_deg2rad_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9659456Z   test_consistency_SparseBSR_deg2rad_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9659621Z   test_consistency_SparseBSR_deg2rad_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9659789Z   test_consistency_SparseBSR_deg2rad_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9659956Z   test_consistency_SparseBSR_deg2rad_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9660118Z   test_consistency_SparseBSR_deg2rad_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9660287Z   test_consistency_SparseBSR_deg2rad_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9660442Z   test_consistency_SparseBSR_deg2rad_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9660606Z   test_consistency_SparseBSR_deg2rad_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9660771Z   test_consistency_SparseBSR_erf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9660959Z   test_consistency_SparseBSR_erf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9661126Z   test_consistency_SparseBSR_erf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9661289Z   test_consistency_SparseBSR_erf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9661451Z   test_consistency_SparseBSR_erf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9661636Z   test_consistency_SparseBSR_erf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9661795Z   test_consistency_SparseBSR_erf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9661945Z   test_consistency_SparseBSR_erf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9662105Z   test_consistency_SparseBSR_erf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9662274Z   test_consistency_SparseBSR_erfinv_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9662439Z   test_consistency_SparseBSR_erfinv_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9662607Z   test_consistency_SparseBSR_erfinv_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9662773Z   test_consistency_SparseBSR_erfinv_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9662940Z   test_consistency_SparseBSR_erfinv_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9663105Z   test_consistency_SparseBSR_erfinv_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9663268Z   test_consistency_SparseBSR_erfinv_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9663420Z   test_consistency_SparseBSR_erfinv_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9663591Z   test_consistency_SparseBSR_erfinv_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9663761Z   test_consistency_SparseBSR_expm1_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9663922Z   test_consistency_SparseBSR_expm1_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9664088Z   test_consistency_SparseBSR_expm1_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9664254Z   test_consistency_SparseBSR_expm1_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9664418Z   test_consistency_SparseBSR_expm1_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9664579Z   test_consistency_SparseBSR_expm1_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9664731Z   test_consistency_SparseBSR_expm1_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9664896Z   test_consistency_SparseBSR_expm1_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9665057Z   test_consistency_SparseBSR_expm1_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9665225Z   test_consistency_SparseBSR_floor_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9665389Z   test_consistency_SparseBSR_floor_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9665557Z   test_consistency_SparseBSR_floor_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9665715Z   test_consistency_SparseBSR_floor_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9665878Z   test_consistency_SparseBSR_floor_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9666039Z   test_consistency_SparseBSR_floor_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9666188Z   test_consistency_SparseBSR_floor_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9666389Z   test_consistency_SparseBSR_floor_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9666559Z   test_consistency_SparseBSR_frac_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9666724Z   test_consistency_SparseBSR_frac_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9666887Z   test_consistency_SparseBSR_frac_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9667083Z   test_consistency_SparseBSR_frac_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9667251Z   test_consistency_SparseBSR_isinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9667415Z   test_consistency_SparseBSR_isinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9667588Z   test_consistency_SparseBSR_isinf_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9667748Z   test_consistency_SparseBSR_isinf_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9667912Z   test_consistency_SparseBSR_isinf_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9668080Z   test_consistency_SparseBSR_isinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9668243Z   test_consistency_SparseBSR_isinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9668411Z   test_consistency_SparseBSR_isinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9668572Z   test_consistency_SparseBSR_isinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9668732Z   test_consistency_SparseBSR_isinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9668894Z   test_consistency_SparseBSR_isinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9669057Z   test_consistency_SparseBSR_isinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9669205Z   test_consistency_SparseBSR_isinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9669373Z   test_consistency_SparseBSR_isnan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9669537Z   test_consistency_SparseBSR_isnan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9669712Z   test_consistency_SparseBSR_isnan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9669880Z   test_consistency_SparseBSR_isnan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9670045Z   test_consistency_SparseBSR_isnan_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9670211Z   test_consistency_SparseBSR_isnan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9670378Z   test_consistency_SparseBSR_isnan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9670527Z   test_consistency_SparseBSR_isnan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9670689Z   test_consistency_SparseBSR_isnan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9670850Z   test_consistency_SparseBSR_isnan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9671014Z   test_consistency_SparseBSR_isnan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9671174Z   test_consistency_SparseBSR_isnan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9671348Z   test_consistency_SparseBSR_isneginf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9671514Z   test_consistency_SparseBSR_isneginf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9671713Z   test_consistency_SparseBSR_isneginf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9671886Z   test_consistency_SparseBSR_isneginf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9672041Z   test_consistency_SparseBSR_isneginf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9672209Z   test_consistency_SparseBSR_isneginf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9672404Z   test_consistency_SparseBSR_isneginf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9672566Z   test_consistency_SparseBSR_isneginf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9672731Z   test_consistency_SparseBSR_isneginf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9672899Z   test_consistency_SparseBSR_isneginf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9673074Z   test_consistency_SparseBSR_isposinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9673239Z   test_consistency_SparseBSR_isposinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9673409Z   test_consistency_SparseBSR_isposinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9673564Z   test_consistency_SparseBSR_isposinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9673732Z   test_consistency_SparseBSR_isposinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9673896Z   test_consistency_SparseBSR_isposinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9674134Z   test_consistency_SparseBSR_isposinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9674297Z   test_consistency_SparseBSR_isposinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9674466Z   test_consistency_SparseBSR_isposinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9674633Z   test_consistency_SparseBSR_isposinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9674803Z   test_consistency_SparseBSR_log1p_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9674967Z   test_consistency_SparseBSR_log1p_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9675126Z   test_consistency_SparseBSR_log1p_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9675295Z   test_consistency_SparseBSR_log1p_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9675459Z   test_consistency_SparseBSR_log1p_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9675628Z   test_consistency_SparseBSR_log1p_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9675799Z   test_consistency_SparseBSR_log1p_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9675960Z   test_consistency_SparseBSR_log1p_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9676122Z   test_consistency_SparseBSR_log1p_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9676284Z   test_consistency_SparseBSR_log1p_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9676434Z   test_consistency_SparseBSR_log1p_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9676685Z   test_consistency_SparseBSR_masked_amax_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9676934Z   test_consistency_SparseBSR_masked_amax_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9677216Z   test_consistency_SparseBSR_masked_amax_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9677464Z   test_consistency_SparseBSR_masked_amax_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9677708Z   test_consistency_SparseBSR_masked_amax_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9677981Z   test_consistency_SparseBSR_masked_amax_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9678216Z   test_consistency_SparseBSR_masked_amax_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9678461Z   test_consistency_SparseBSR_masked_amax_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9678703Z   test_consistency_SparseBSR_masked_amax_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9678950Z   test_consistency_SparseBSR_masked_amin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9679197Z   test_consistency_SparseBSR_masked_amin_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9679442Z   test_consistency_SparseBSR_masked_amin_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9679675Z   test_consistency_SparseBSR_masked_amin_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9679917Z   test_consistency_SparseBSR_masked_amin_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9680157Z   test_consistency_SparseBSR_masked_amin_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9680394Z   test_consistency_SparseBSR_masked_amin_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9680636Z   test_consistency_SparseBSR_masked_amin_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9680877Z   test_consistency_SparseBSR_masked_amin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9681124Z   test_consistency_SparseBSR_masked_mean_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9681365Z   test_consistency_SparseBSR_masked_mean_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9681614Z   test_consistency_SparseBSR_masked_mean_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9681862Z   test_consistency_SparseBSR_masked_mean_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9682134Z   test_consistency_SparseBSR_masked_mean_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9682377Z   test_consistency_SparseBSR_masked_mean_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9682609Z   test_consistency_SparseBSR_masked_mean_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9682880Z   test_consistency_SparseBSR_masked_mean_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9683118Z   test_consistency_SparseBSR_masked_mean_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9683348Z   test_consistency_SparseBSR_masked_mean_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9683696Z   test_consistency_SparseBSR_masked_mean_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9683938Z   test_consistency_SparseBSR_masked_mean_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9684188Z   test_consistency_SparseBSR_masked_prod_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9684429Z   test_consistency_SparseBSR_masked_prod_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9684677Z   test_consistency_SparseBSR_masked_prod_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9684930Z   test_consistency_SparseBSR_masked_prod_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9685178Z   test_consistency_SparseBSR_masked_prod_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9685424Z   test_consistency_SparseBSR_masked_prod_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9685667Z   test_consistency_SparseBSR_masked_prod_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9685897Z   test_consistency_SparseBSR_masked_prod_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9686142Z   test_consistency_SparseBSR_masked_prod_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9686382Z   test_consistency_SparseBSR_masked_prod_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9686624Z   test_consistency_SparseBSR_masked_prod_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9686869Z   test_consistency_SparseBSR_masked_sum_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9687107Z   test_consistency_SparseBSR_masked_sum_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9687402Z   test_consistency_SparseBSR_masked_sum_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9687648Z   test_consistency_SparseBSR_masked_sum_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9687890Z   test_consistency_SparseBSR_masked_sum_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9688164Z   test_consistency_SparseBSR_masked_sum_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9688405Z   test_consistency_SparseBSR_masked_sum_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9688644Z   test_consistency_SparseBSR_masked_sum_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9688873Z   test_consistency_SparseBSR_masked_sum_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9689111Z   test_consistency_SparseBSR_masked_sum_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9689350Z   test_consistency_SparseBSR_masked_sum_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9689583Z   test_consistency_SparseBSR_masked_sum_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9689753Z   test_consistency_SparseBSR_neg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9689925Z   test_consistency_SparseBSR_neg_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9690094Z   test_consistency_SparseBSR_neg_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9690264Z   test_consistency_SparseBSR_neg_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9690431Z   test_consistency_SparseBSR_neg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9690600Z   test_consistency_SparseBSR_neg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9690752Z   test_consistency_SparseBSR_neg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9690914Z   test_consistency_SparseBSR_neg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9691076Z   test_consistency_SparseBSR_neg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9691235Z   test_consistency_SparseBSR_neg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9691396Z   test_consistency_SparseBSR_neg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9691554Z   test_consistency_SparseBSR_neg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9691740Z   test_consistency_SparseBSR_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9691927Z   test_consistency_SparseBSR_nn_functional_relu_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9692108Z   test_consistency_SparseBSR_nn_functional_relu_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9692277Z   test_consistency_SparseBSR_nn_functional_relu_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9692455Z   test_consistency_SparseBSR_nn_functional_relu_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9692669Z   test_consistency_SparseBSR_nn_functional_relu_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9692856Z   test_consistency_SparseBSR_nn_functional_relu_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9693088Z   test_consistency_SparseBSR_nn_functional_relu_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9693297Z   test_consistency_SparseBSR_positive_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9693475Z   test_consistency_SparseBSR_positive_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9693648Z   test_consistency_SparseBSR_positive_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9693817Z   test_consistency_SparseBSR_positive_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9693983Z   test_consistency_SparseBSR_positive_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9694153Z   test_consistency_SparseBSR_positive_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9694321Z   test_consistency_SparseBSR_positive_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9694490Z   test_consistency_SparseBSR_positive_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9694655Z   test_consistency_SparseBSR_positive_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9694818Z   test_consistency_SparseBSR_positive_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9694987Z   test_consistency_SparseBSR_positive_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9695159Z   test_consistency_SparseBSR_positive_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9695331Z   test_consistency_SparseBSR_rad2deg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9695487Z   test_consistency_SparseBSR_rad2deg_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9695659Z   test_consistency_SparseBSR_rad2deg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9695828Z   test_consistency_SparseBSR_rad2deg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9695996Z   test_consistency_SparseBSR_rad2deg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9696163Z   test_consistency_SparseBSR_rad2deg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9696332Z   test_consistency_SparseBSR_rad2deg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9696502Z   test_consistency_SparseBSR_rad2deg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9696669Z   test_consistency_SparseBSR_rad2deg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9696832Z   test_consistency_SparseBSR_rad2deg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9697068Z   test_consistency_SparseBSR_randn_like_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9697317Z   test_consistency_SparseBSR_randn_like_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9697564Z   test_consistency_SparseBSR_randn_like_cpu_complex32 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9697807Z   test_consistency_SparseBSR_randn_like_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9698080Z   test_consistency_SparseBSR_randn_like_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9698315Z   test_consistency_SparseBSR_randn_like_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9698541Z   test_consistency_SparseBSR_randn_like_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9698738Z   test_consistency_SparseBSR_round_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9698906Z   test_consistency_SparseBSR_round_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9699072Z   test_consistency_SparseBSR_round_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9699238Z   test_consistency_SparseBSR_round_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9699394Z   test_consistency_SparseBSR_round_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9699558Z   test_consistency_SparseBSR_round_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9699722Z   test_consistency_SparseBSR_round_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9699888Z   test_consistency_SparseBSR_round_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9700060Z   test_consistency_SparseBSR_sgn_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9700222Z   test_consistency_SparseBSR_sgn_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9700390Z   test_consistency_SparseBSR_sgn_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9700557Z   test_consistency_SparseBSR_sgn_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9700714Z   test_consistency_SparseBSR_sgn_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9700879Z   test_consistency_SparseBSR_sgn_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9701039Z   test_consistency_SparseBSR_sgn_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9701201Z   test_consistency_SparseBSR_sgn_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9701369Z   test_consistency_SparseBSR_sgn_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9701530Z   test_consistency_SparseBSR_sgn_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9701686Z   test_consistency_SparseBSR_sgn_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9701846Z   test_consistency_SparseBSR_sgn_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702002Z   test_consistency_SparseBSR_sgn_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702156Z   test_consistency_SparseBSR_sign_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702316Z   test_consistency_SparseBSR_sign_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702482Z   test_consistency_SparseBSR_sign_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702651Z   test_consistency_SparseBSR_sign_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702817Z   test_consistency_SparseBSR_sign_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9702981Z   test_consistency_SparseBSR_sign_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9703143Z   test_consistency_SparseBSR_sign_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9703348Z   test_consistency_SparseBSR_sign_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9703513Z   test_consistency_SparseBSR_sign_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9703663Z   test_consistency_SparseBSR_sign_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9703838Z   test_consistency_SparseBSR_signbit_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9704034Z   test_consistency_SparseBSR_signbit_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9704203Z   test_consistency_SparseBSR_signbit_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9704370Z   test_consistency_SparseBSR_signbit_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9704532Z   test_consistency_SparseBSR_signbit_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9704699Z   test_consistency_SparseBSR_signbit_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9704865Z   test_consistency_SparseBSR_signbit_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9705021Z   test_consistency_SparseBSR_signbit_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9705186Z   test_consistency_SparseBSR_signbit_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9705351Z   test_consistency_SparseBSR_signbit_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9705516Z   test_consistency_SparseBSR_sin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9705675Z   test_consistency_SparseBSR_sin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9705843Z   test_consistency_SparseBSR_sin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706011Z   test_consistency_SparseBSR_sin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706176Z   test_consistency_SparseBSR_sin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706340Z   test_consistency_SparseBSR_sin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706490Z   test_consistency_SparseBSR_sin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706651Z   test_consistency_SparseBSR_sin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706807Z   test_consistency_SparseBSR_sin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9706966Z   test_consistency_SparseBSR_sin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9707127Z   test_consistency_SparseBSR_sin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9707293Z   test_consistency_SparseBSR_sinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9707452Z   test_consistency_SparseBSR_sinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9707620Z   test_consistency_SparseBSR_sinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9707789Z   test_consistency_SparseBSR_sinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9707945Z   test_consistency_SparseBSR_sinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9708110Z   test_consistency_SparseBSR_sinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9708271Z   test_consistency_SparseBSR_sinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9708433Z   test_consistency_SparseBSR_sinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9708595Z   test_consistency_SparseBSR_sinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9708819Z   test_consistency_SparseBSR_sinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9708982Z   test_consistency_SparseBSR_sinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9709147Z   test_consistency_SparseBSR_sqrt_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9709295Z   test_consistency_SparseBSR_sqrt_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9709496Z   test_consistency_SparseBSR_sqrt_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9709664Z   test_consistency_SparseBSR_sqrt_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9709829Z   test_consistency_SparseBSR_sqrt_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9709993Z   test_consistency_SparseBSR_sqrt_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9710156Z   test_consistency_SparseBSR_sqrt_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9710318Z   test_consistency_SparseBSR_sqrt_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9710479Z   test_consistency_SparseBSR_sqrt_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9710641Z   test_consistency_SparseBSR_sqrt_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9710794Z   test_consistency_SparseBSR_sqrt_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9710958Z   test_consistency_SparseBSR_tan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9711125Z   test_consistency_SparseBSR_tan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9711295Z   test_consistency_SparseBSR_tan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9711464Z   test_consistency_SparseBSR_tan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9711630Z   test_consistency_SparseBSR_tan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9711795Z   test_consistency_SparseBSR_tan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9711955Z   test_consistency_SparseBSR_tan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9712118Z   test_consistency_SparseBSR_tan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9712264Z   test_consistency_SparseBSR_tan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9712426Z   test_consistency_SparseBSR_tan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9712582Z   test_consistency_SparseBSR_tan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9712753Z   test_consistency_SparseBSR_tanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9712910Z   test_consistency_SparseBSR_tanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9713080Z   test_consistency_SparseBSR_tanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9713248Z   test_consistency_SparseBSR_tanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9713414Z   test_consistency_SparseBSR_tanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9713566Z   test_consistency_SparseBSR_tanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9713729Z   test_consistency_SparseBSR_tanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9713891Z   test_consistency_SparseBSR_tanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9714113Z   test_consistency_SparseBSR_tanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9714309Z   test_consistency_SparseBSR_tanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9714474Z   test_consistency_SparseBSR_tanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9714719Z   test_consistency_SparseBSR_to_sparse_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9714993Z   test_consistency_SparseBSR_to_sparse_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9715240Z   test_consistency_SparseBSR_to_sparse_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9715487Z   test_consistency_SparseBSR_to_sparse_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9715713Z   test_consistency_SparseBSR_to_sparse_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9715952Z   test_consistency_SparseBSR_to_sparse_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9716186Z   test_consistency_SparseBSR_to_sparse_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9716421Z   test_consistency_SparseBSR_to_sparse_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9716650Z   test_consistency_SparseBSR_to_sparse_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9716888Z   test_consistency_SparseBSR_to_sparse_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9717126Z   test_consistency_SparseBSR_to_sparse_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9717360Z   test_consistency_SparseBSR_to_sparse_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: to_sparse does not support input with torch.sparse_bsr layout (0.002s)
2023-01-11T21:58:19.9717534Z   test_consistency_SparseBSR_trunc_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9717701Z   test_consistency_SparseBSR_trunc_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9717870Z   test_consistency_SparseBSR_trunc_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9718024Z   test_consistency_SparseBSR_trunc_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9718189Z   test_consistency_SparseBSR_trunc_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9718352Z   test_consistency_SparseBSR_trunc_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9718514Z   test_consistency_SparseBSR_trunc_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9718678Z   test_consistency_SparseBSR_trunc_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9718846Z   test_consistency_SparseCSC_abs_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9719015Z   test_consistency_SparseCSC_abs_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9719181Z   test_consistency_SparseCSC_abs_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9719377Z   test_consistency_SparseCSC_abs_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9719531Z   test_consistency_SparseCSC_abs_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9719696Z   test_consistency_SparseCSC_abs_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9719857Z   test_consistency_SparseCSC_abs_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9720046Z   test_consistency_SparseCSC_abs_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9720205Z   test_consistency_SparseCSC_abs_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9720362Z   test_consistency_SparseCSC_abs_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9720523Z   test_consistency_SparseCSC_abs_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9720678Z   test_consistency_SparseCSC_abs_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9720849Z   test_consistency_SparseCSC_angle_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9721000Z   test_consistency_SparseCSC_angle_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9721174Z   test_consistency_SparseCSC_angle_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9721344Z   test_consistency_SparseCSC_angle_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9721513Z   test_consistency_SparseCSC_angle_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9721679Z   test_consistency_SparseCSC_angle_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9721844Z   test_consistency_SparseCSC_angle_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722008Z   test_consistency_SparseCSC_angle_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722172Z   test_consistency_SparseCSC_angle_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722323Z   test_consistency_SparseCSC_angle_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722486Z   test_consistency_SparseCSC_angle_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722645Z   test_consistency_SparseCSC_angle_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722811Z   test_consistency_SparseCSC_asin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9722973Z   test_consistency_SparseCSC_asin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9723143Z   test_consistency_SparseCSC_asin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9723313Z   test_consistency_SparseCSC_asin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9723584Z   test_consistency_SparseCSC_asin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9723750Z   test_consistency_SparseCSC_asin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9723901Z   test_consistency_SparseCSC_asin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9724065Z   test_consistency_SparseCSC_asin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9724229Z   test_consistency_SparseCSC_asin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9724390Z   test_consistency_SparseCSC_asin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9724552Z   test_consistency_SparseCSC_asin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9724721Z   test_consistency_SparseCSC_asinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9724933Z   test_consistency_SparseCSC_asinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9725108Z   test_consistency_SparseCSC_asinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9725278Z   test_consistency_SparseCSC_asinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9725433Z   test_consistency_SparseCSC_asinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9725632Z   test_consistency_SparseCSC_asinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9725796Z   test_consistency_SparseCSC_asinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9725958Z   test_consistency_SparseCSC_asinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9726122Z   test_consistency_SparseCSC_asinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9726288Z   test_consistency_SparseCSC_asinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9726450Z   test_consistency_SparseCSC_asinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9726615Z   test_consistency_SparseCSC_atan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9726777Z   test_consistency_SparseCSC_atan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9726939Z   test_consistency_SparseCSC_atan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9727108Z   test_consistency_SparseCSC_atan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9727273Z   test_consistency_SparseCSC_atan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9727438Z   test_consistency_SparseCSC_atan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9727602Z   test_consistency_SparseCSC_atan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9727765Z   test_consistency_SparseCSC_atan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9727928Z   test_consistency_SparseCSC_atan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9728087Z   test_consistency_SparseCSC_atan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9728236Z   test_consistency_SparseCSC_atan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9728407Z   test_consistency_SparseCSC_atanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9728568Z   test_consistency_SparseCSC_atanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9728741Z   test_consistency_SparseCSC_atanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9728909Z   test_consistency_SparseCSC_atanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9729077Z   test_consistency_SparseCSC_atanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9729244Z   test_consistency_SparseCSC_atanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9729407Z   test_consistency_SparseCSC_atanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9729571Z   test_consistency_SparseCSC_atanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9729724Z   test_consistency_SparseCSC_atanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9729886Z   test_consistency_SparseCSC_atanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9730042Z   test_consistency_SparseCSC_atanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9730208Z   test_consistency_SparseCSC_ceil_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9730405Z   test_consistency_SparseCSC_ceil_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9730572Z   test_consistency_SparseCSC_ceil_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9730734Z   test_consistency_SparseCSC_ceil_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9730894Z   test_consistency_SparseCSC_ceil_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9731083Z   test_consistency_SparseCSC_ceil_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9731232Z   test_consistency_SparseCSC_ceil_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9731391Z   test_consistency_SparseCSC_ceil_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9731568Z   test_consistency_SparseCSC_conj_physical_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9731746Z   test_consistency_SparseCSC_conj_physical_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9731928Z   test_consistency_SparseCSC_conj_physical_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9732110Z   test_consistency_SparseCSC_conj_physical_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9732299Z   test_consistency_SparseCSC_conj_physical_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9732561Z   test_consistency_SparseCSC_conj_physical_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9732735Z   test_consistency_SparseCSC_conj_physical_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9732900Z   test_consistency_SparseCSC_conj_physical_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9733076Z   test_consistency_SparseCSC_conj_physical_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9733251Z   test_consistency_SparseCSC_conj_physical_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9733423Z   test_consistency_SparseCSC_conj_physical_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9733595Z   test_consistency_SparseCSC_conj_physical_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9733770Z   test_consistency_SparseCSC_conj_physical_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9733943Z   test_consistency_SparseCSC_deg2rad_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9734111Z   test_consistency_SparseCSC_deg2rad_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9734280Z   test_consistency_SparseCSC_deg2rad_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9734440Z   test_consistency_SparseCSC_deg2rad_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9734610Z   test_consistency_SparseCSC_deg2rad_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9734773Z   test_consistency_SparseCSC_deg2rad_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9734938Z   test_consistency_SparseCSC_deg2rad_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9735104Z   test_consistency_SparseCSC_deg2rad_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9735270Z   test_consistency_SparseCSC_deg2rad_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9735433Z   test_consistency_SparseCSC_deg2rad_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9735600Z   test_consistency_SparseCSC_erf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9735786Z   test_consistency_SparseCSC_erf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9735954Z   test_consistency_SparseCSC_erf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9736117Z   test_consistency_SparseCSC_erf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9736279Z   test_consistency_SparseCSC_erf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9736468Z   test_consistency_SparseCSC_erf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9736625Z   test_consistency_SparseCSC_erf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9736786Z   test_consistency_SparseCSC_erf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9736951Z   test_consistency_SparseCSC_erf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9737122Z   test_consistency_SparseCSC_erfinv_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9737280Z   test_consistency_SparseCSC_erfinv_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9737447Z   test_consistency_SparseCSC_erfinv_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9737611Z   test_consistency_SparseCSC_erfinv_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9737780Z   test_consistency_SparseCSC_erfinv_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9737944Z   test_consistency_SparseCSC_erfinv_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9738108Z   test_consistency_SparseCSC_erfinv_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9738272Z   test_consistency_SparseCSC_erfinv_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9738432Z   test_consistency_SparseCSC_erfinv_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9738603Z   test_consistency_SparseCSC_expm1_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9738755Z   test_consistency_SparseCSC_expm1_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9738921Z   test_consistency_SparseCSC_expm1_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9739089Z   test_consistency_SparseCSC_expm1_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9739252Z   test_consistency_SparseCSC_expm1_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9739412Z   test_consistency_SparseCSC_expm1_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9739573Z   test_consistency_SparseCSC_expm1_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9739735Z   test_consistency_SparseCSC_expm1_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9739899Z   test_consistency_SparseCSC_expm1_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9740054Z   test_consistency_SparseCSC_floor_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9740220Z   test_consistency_SparseCSC_floor_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9740382Z   test_consistency_SparseCSC_floor_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9740546Z   test_consistency_SparseCSC_floor_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9740707Z   test_consistency_SparseCSC_floor_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9740869Z   test_consistency_SparseCSC_floor_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9741031Z   test_consistency_SparseCSC_floor_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9741230Z   test_consistency_SparseCSC_floor_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9741395Z   test_consistency_SparseCSC_frac_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9741548Z   test_consistency_SparseCSC_frac_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9741713Z   test_consistency_SparseCSC_frac_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9741905Z   test_consistency_SparseCSC_frac_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9742073Z   test_consistency_SparseCSC_isinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9742237Z   test_consistency_SparseCSC_isinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9742408Z   test_consistency_SparseCSC_isinf_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9742580Z   test_consistency_SparseCSC_isinf_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9742746Z   test_consistency_SparseCSC_isinf_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9742911Z   test_consistency_SparseCSC_isinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9743064Z   test_consistency_SparseCSC_isinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9743231Z   test_consistency_SparseCSC_isinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9743392Z   test_consistency_SparseCSC_isinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9743554Z   test_consistency_SparseCSC_isinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9743714Z   test_consistency_SparseCSC_isinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9743884Z   test_consistency_SparseCSC_isinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9744045Z   test_consistency_SparseCSC_isinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9744213Z   test_consistency_SparseCSC_isnan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9744375Z   test_consistency_SparseCSC_isnan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9744538Z   test_consistency_SparseCSC_isnan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9744707Z   test_consistency_SparseCSC_isnan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9744872Z   test_consistency_SparseCSC_isnan_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745034Z   test_consistency_SparseCSC_isnan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745203Z   test_consistency_SparseCSC_isnan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745366Z   test_consistency_SparseCSC_isnan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745526Z   test_consistency_SparseCSC_isnan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745689Z   test_consistency_SparseCSC_isnan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745841Z   test_consistency_SparseCSC_isnan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9745999Z   test_consistency_SparseCSC_isnan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9746172Z   test_consistency_SparseCSC_isneginf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9746339Z   test_consistency_SparseCSC_isneginf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9746538Z   test_consistency_SparseCSC_isneginf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9746712Z   test_consistency_SparseCSC_isneginf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9746879Z   test_consistency_SparseCSC_isneginf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9747047Z   test_consistency_SparseCSC_isneginf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9747237Z   test_consistency_SparseCSC_isneginf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9747386Z   test_consistency_SparseCSC_isneginf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9747552Z   test_consistency_SparseCSC_isneginf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9747718Z   test_consistency_SparseCSC_isneginf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9747891Z   test_consistency_SparseCSC_isposinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9748057Z   test_consistency_SparseCSC_isposinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9748226Z   test_consistency_SparseCSC_isposinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9748396Z   test_consistency_SparseCSC_isposinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9748566Z   test_consistency_SparseCSC_isposinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9748730Z   test_consistency_SparseCSC_isposinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9748881Z   test_consistency_SparseCSC_isposinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9749043Z   test_consistency_SparseCSC_isposinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9749210Z   test_consistency_SparseCSC_isposinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9749376Z   test_consistency_SparseCSC_isposinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9749540Z   test_consistency_SparseCSC_log1p_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9749704Z   test_consistency_SparseCSC_log1p_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9749877Z   test_consistency_SparseCSC_log1p_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9750047Z   test_consistency_SparseCSC_log1p_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9750214Z   test_consistency_SparseCSC_log1p_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9750366Z   test_consistency_SparseCSC_log1p_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9750531Z   test_consistency_SparseCSC_log1p_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9750695Z   test_consistency_SparseCSC_log1p_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9750856Z   test_consistency_SparseCSC_log1p_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9751016Z   test_consistency_SparseCSC_log1p_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9751180Z   test_consistency_SparseCSC_log1p_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9751428Z   test_consistency_SparseCSC_masked_amax_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9751675Z   test_consistency_SparseCSC_masked_amax_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9751950Z   test_consistency_SparseCSC_masked_amax_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9752179Z   test_consistency_SparseCSC_masked_amax_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9752423Z   test_consistency_SparseCSC_masked_amax_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9752694Z   test_consistency_SparseCSC_masked_amax_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9752925Z   test_consistency_SparseCSC_masked_amax_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9753165Z   test_consistency_SparseCSC_masked_amax_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9753409Z   test_consistency_SparseCSC_masked_amax_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9753651Z   test_consistency_SparseCSC_masked_amin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9753896Z   test_consistency_SparseCSC_masked_amin_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9754207Z   test_consistency_SparseCSC_masked_amin_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9754450Z   test_consistency_SparseCSC_masked_amin_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9754686Z   test_consistency_SparseCSC_masked_amin_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9754924Z   test_consistency_SparseCSC_masked_amin_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9755169Z   test_consistency_SparseCSC_masked_amin_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9755399Z   test_consistency_SparseCSC_masked_amin_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9755642Z   test_consistency_SparseCSC_masked_amin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9755887Z   test_consistency_SparseCSC_masked_mean_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9756127Z   test_consistency_SparseCSC_masked_mean_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9756375Z   test_consistency_SparseCSC_masked_mean_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9756621Z   test_consistency_SparseCSC_masked_mean_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9756865Z   test_consistency_SparseCSC_masked_mean_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9757138Z   test_consistency_SparseCSC_masked_mean_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9757382Z   test_consistency_SparseCSC_masked_mean_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9757655Z   test_consistency_SparseCSC_masked_mean_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9757896Z   test_consistency_SparseCSC_masked_mean_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9758137Z   test_consistency_SparseCSC_masked_mean_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9758377Z   test_consistency_SparseCSC_masked_mean_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9758606Z   test_consistency_SparseCSC_masked_mean_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9758854Z   test_consistency_SparseCSC_masked_prod_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9759097Z   test_consistency_SparseCSC_masked_prod_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9759346Z   test_consistency_SparseCSC_masked_prod_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9759596Z   test_consistency_SparseCSC_masked_prod_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9759840Z   test_consistency_SparseCSC_masked_prod_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9760082Z   test_consistency_SparseCSC_masked_prod_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9760322Z   test_consistency_SparseCSC_masked_prod_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9760556Z   test_consistency_SparseCSC_masked_prod_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9760800Z   test_consistency_SparseCSC_masked_prod_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9761039Z   test_consistency_SparseCSC_masked_prod_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9761281Z   test_consistency_SparseCSC_masked_prod_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.prod does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9761515Z   test_consistency_SparseCSC_masked_sum_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9761753Z   test_consistency_SparseCSC_masked_sum_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9762028Z   test_consistency_SparseCSC_masked_sum_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9762275Z   test_consistency_SparseCSC_masked_sum_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9762516Z   test_consistency_SparseCSC_masked_sum_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9762781Z   test_consistency_SparseCSC_masked_sum_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9763021Z   test_consistency_SparseCSC_masked_sum_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9763262Z   test_consistency_SparseCSC_masked_sum_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9763593Z   test_consistency_SparseCSC_masked_sum_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9763831Z   test_consistency_SparseCSC_masked_sum_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9764071Z   test_consistency_SparseCSC_masked_sum_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9764304Z   test_consistency_SparseCSC_masked_sum_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.sum does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9764475Z   test_consistency_SparseCSC_neg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9764636Z   test_consistency_SparseCSC_neg_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9764804Z   test_consistency_SparseCSC_neg_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9764971Z   test_consistency_SparseCSC_neg_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9765138Z   test_consistency_SparseCSC_neg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9765304Z   test_consistency_SparseCSC_neg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9765469Z   test_consistency_SparseCSC_neg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9765636Z   test_consistency_SparseCSC_neg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9765796Z   test_consistency_SparseCSC_neg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9765947Z   test_consistency_SparseCSC_neg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9766109Z   test_consistency_SparseCSC_neg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9766267Z   test_consistency_SparseCSC_neg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9766450Z   test_consistency_SparseCSC_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9766635Z   test_consistency_SparseCSC_nn_functional_relu_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9766816Z   test_consistency_SparseCSC_nn_functional_relu_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9766996Z   test_consistency_SparseCSC_nn_functional_relu_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9767173Z   test_consistency_SparseCSC_nn_functional_relu_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9767400Z   test_consistency_SparseCSC_nn_functional_relu_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9767569Z   test_consistency_SparseCSC_nn_functional_relu_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9767749Z   test_consistency_SparseCSC_nn_functional_relu_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9767923Z   test_consistency_SparseCSC_positive_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9768134Z   test_consistency_SparseCSC_positive_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9768308Z   test_consistency_SparseCSC_positive_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9768482Z   test_consistency_SparseCSC_positive_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9768655Z   test_consistency_SparseCSC_positive_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9768827Z   test_consistency_SparseCSC_positive_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9768993Z   test_consistency_SparseCSC_positive_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9769150Z   test_consistency_SparseCSC_positive_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9769317Z   test_consistency_SparseCSC_positive_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9769482Z   test_consistency_SparseCSC_positive_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9769647Z   test_consistency_SparseCSC_positive_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9769812Z   test_consistency_SparseCSC_positive_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9769985Z   test_consistency_SparseCSC_rad2deg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9770156Z   test_consistency_SparseCSC_rad2deg_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9770327Z   test_consistency_SparseCSC_rad2deg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9770493Z   test_consistency_SparseCSC_rad2deg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9770646Z   test_consistency_SparseCSC_rad2deg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9770811Z   test_consistency_SparseCSC_rad2deg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9770982Z   test_consistency_SparseCSC_rad2deg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9771147Z   test_consistency_SparseCSC_rad2deg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9771315Z   test_consistency_SparseCSC_rad2deg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9771481Z   test_consistency_SparseCSC_rad2deg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9771725Z   test_consistency_SparseCSC_randn_like_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9771974Z   test_consistency_SparseCSC_randn_like_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9772225Z   test_consistency_SparseCSC_randn_like_cpu_complex32 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9772466Z   test_consistency_SparseCSC_randn_like_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9772725Z   test_consistency_SparseCSC_randn_like_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9772967Z   test_consistency_SparseCSC_randn_like_cpu_float32 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9773203Z   test_consistency_SparseCSC_randn_like_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: randn_like does not support input with torch.sparse_csc layout (0.002s)
2023-01-11T21:58:19.9773404Z   test_consistency_SparseCSC_round_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9773572Z   test_consistency_SparseCSC_round_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9773739Z   test_consistency_SparseCSC_round_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9773904Z   test_consistency_SparseCSC_round_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9774071Z   test_consistency_SparseCSC_round_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9774237Z   test_consistency_SparseCSC_round_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9774402Z   test_consistency_SparseCSC_round_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9774555Z   test_consistency_SparseCSC_round_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9774727Z   test_consistency_SparseCSC_sgn_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9774890Z   test_consistency_SparseCSC_sgn_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9775058Z   test_consistency_SparseCSC_sgn_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9775227Z   test_consistency_SparseCSC_sgn_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9775399Z   test_consistency_SparseCSC_sgn_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9775561Z   test_consistency_SparseCSC_sgn_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9775724Z   test_consistency_SparseCSC_sgn_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9775876Z   test_consistency_SparseCSC_sgn_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9776040Z   test_consistency_SparseCSC_sgn_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9776200Z   test_consistency_SparseCSC_sgn_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9776361Z   test_consistency_SparseCSC_sgn_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9776521Z   test_consistency_SparseCSC_sgn_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9776686Z   test_consistency_SparseCSC_sgn_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9776853Z   test_consistency_SparseCSC_sign_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9777013Z   test_consistency_SparseCSC_sign_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9777177Z   test_consistency_SparseCSC_sign_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9777335Z   test_consistency_SparseCSC_sign_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9777500Z   test_consistency_SparseCSC_sign_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9777663Z   test_consistency_SparseCSC_sign_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9777826Z   test_consistency_SparseCSC_sign_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9778032Z   test_consistency_SparseCSC_sign_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9778194Z   test_consistency_SparseCSC_sign_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9778356Z   test_consistency_SparseCSC_sign_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9778526Z   test_consistency_SparseCSC_signbit_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9778731Z   test_consistency_SparseCSC_signbit_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9778889Z   test_consistency_SparseCSC_signbit_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9779055Z   test_consistency_SparseCSC_signbit_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9779217Z   test_consistency_SparseCSC_signbit_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9779383Z   test_consistency_SparseCSC_signbit_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9779548Z   test_consistency_SparseCSC_signbit_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9779712Z   test_consistency_SparseCSC_signbit_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9779880Z   test_consistency_SparseCSC_signbit_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9780046Z   test_consistency_SparseCSC_signbit_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9780198Z   test_consistency_SparseCSC_sin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9780360Z   test_consistency_SparseCSC_sin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9780527Z   test_consistency_SparseCSC_sin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9780692Z   test_consistency_SparseCSC_sin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9780856Z   test_consistency_SparseCSC_sin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781018Z   test_consistency_SparseCSC_sin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781177Z   test_consistency_SparseCSC_sin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781340Z   test_consistency_SparseCSC_sin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781499Z   test_consistency_SparseCSC_sin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781647Z   test_consistency_SparseCSC_sin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781811Z   test_consistency_SparseCSC_sin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9781975Z   test_consistency_SparseCSC_sinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9782133Z   test_consistency_SparseCSC_sinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9782302Z   test_consistency_SparseCSC_sinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9782471Z   test_consistency_SparseCSC_sinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9782637Z   test_consistency_SparseCSC_sinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9782804Z   test_consistency_SparseCSC_sinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9782965Z   test_consistency_SparseCSC_sinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9783114Z   test_consistency_SparseCSC_sinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9783274Z   test_consistency_SparseCSC_sinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9783462Z   test_consistency_SparseCSC_sinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9783623Z   test_consistency_SparseCSC_sinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9783790Z   test_consistency_SparseCSC_sqrt_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9783953Z   test_consistency_SparseCSC_sqrt_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9784150Z   test_consistency_SparseCSC_sqrt_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9784319Z   test_consistency_SparseCSC_sqrt_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9784471Z   test_consistency_SparseCSC_sqrt_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9784636Z   test_consistency_SparseCSC_sqrt_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9784796Z   test_consistency_SparseCSC_sqrt_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9784957Z   test_consistency_SparseCSC_sqrt_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9785117Z   test_consistency_SparseCSC_sqrt_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9785277Z   test_consistency_SparseCSC_sqrt_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9785441Z   test_consistency_SparseCSC_sqrt_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9785605Z   test_consistency_SparseCSC_tan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9785765Z   test_consistency_SparseCSC_tan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9785922Z   test_consistency_SparseCSC_tan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9786090Z   test_consistency_SparseCSC_tan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9786254Z   test_consistency_SparseCSC_tan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9786415Z   test_consistency_SparseCSC_tan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9786573Z   test_consistency_SparseCSC_tan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9786736Z   test_consistency_SparseCSC_tan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9786893Z   test_consistency_SparseCSC_tan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9787053Z   test_consistency_SparseCSC_tan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9787213Z   test_consistency_SparseCSC_tan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9787367Z   test_consistency_SparseCSC_tanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9787528Z   test_consistency_SparseCSC_tanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9787699Z   test_consistency_SparseCSC_tanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9787868Z   test_consistency_SparseCSC_tanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9788034Z   test_consistency_SparseCSC_tanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9788199Z   test_consistency_SparseCSC_tanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9788362Z   test_consistency_SparseCSC_tanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9788524Z   test_consistency_SparseCSC_tanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9788672Z   test_consistency_SparseCSC_tanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9788860Z   test_consistency_SparseCSC_tanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9789023Z   test_consistency_SparseCSC_tanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9789198Z   test_consistency_SparseCSC_to_sparse_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9789365Z   test_consistency_SparseCSC_to_sparse_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9789603Z   test_consistency_SparseCSC_to_sparse_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9789780Z   test_consistency_SparseCSC_to_sparse_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9789954Z   test_consistency_SparseCSC_to_sparse_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9790121Z   test_consistency_SparseCSC_to_sparse_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9790278Z   test_consistency_SparseCSC_to_sparse_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9790448Z   test_consistency_SparseCSC_to_sparse_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9790610Z   test_consistency_SparseCSC_to_sparse_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9790774Z   test_consistency_SparseCSC_to_sparse_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9790940Z   test_consistency_SparseCSC_to_sparse_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9791105Z   test_consistency_SparseCSC_to_sparse_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9791273Z   test_consistency_SparseCSC_trunc_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9791438Z   test_consistency_SparseCSC_trunc_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9791606Z   test_consistency_SparseCSC_trunc_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9791759Z   test_consistency_SparseCSC_trunc_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9791923Z   test_consistency_SparseCSC_trunc_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9792087Z   test_consistency_SparseCSC_trunc_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9792252Z   test_consistency_SparseCSC_trunc_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9792411Z   test_consistency_SparseCSC_trunc_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9792576Z   test_consistency_SparseCSR_abs_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9792745Z   test_consistency_SparseCSR_abs_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9792916Z   test_consistency_SparseCSR_abs_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9793082Z   test_consistency_SparseCSR_abs_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9793235Z   test_consistency_SparseCSR_abs_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9793398Z   test_consistency_SparseCSR_abs_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9793560Z   test_consistency_SparseCSR_abs_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9793720Z   test_consistency_SparseCSR_abs_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9793884Z   test_consistency_SparseCSR_abs_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9794119Z   test_consistency_SparseCSR_abs_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9794323Z   test_consistency_SparseCSR_abs_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9794483Z   test_consistency_SparseCSR_abs_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9794640Z   test_consistency_SparseCSR_angle_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9794805Z   test_consistency_SparseCSR_angle_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9795006Z   test_consistency_SparseCSR_angle_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9795177Z   test_consistency_SparseCSR_angle_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9795344Z   test_consistency_SparseCSR_angle_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9795513Z   test_consistency_SparseCSR_angle_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9795681Z   test_consistency_SparseCSR_angle_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9795845Z   test_consistency_SparseCSR_angle_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796008Z   test_consistency_SparseCSR_angle_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796158Z   test_consistency_SparseCSR_angle_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796324Z   test_consistency_SparseCSR_angle_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796485Z   test_consistency_SparseCSR_angle_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796649Z   test_consistency_SparseCSR_asin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796812Z   test_consistency_SparseCSR_asin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9796984Z   test_consistency_SparseCSR_asin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9797152Z   test_consistency_SparseCSR_asin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9797317Z   test_consistency_SparseCSR_asin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9797481Z   test_consistency_SparseCSR_asin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9797632Z   test_consistency_SparseCSR_asin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9797794Z   test_consistency_SparseCSR_asin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9797954Z   test_consistency_SparseCSR_asin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9798115Z   test_consistency_SparseCSR_asin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9798277Z   test_consistency_SparseCSR_asin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9798445Z   test_consistency_SparseCSR_asinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9798607Z   test_consistency_SparseCSR_asinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9798780Z   test_consistency_SparseCSR_asinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9798950Z   test_consistency_SparseCSR_asinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9799105Z   test_consistency_SparseCSR_asinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9799270Z   test_consistency_SparseCSR_asinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9799436Z   test_consistency_SparseCSR_asinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9799626Z   test_consistency_SparseCSR_asinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9799791Z   test_consistency_SparseCSR_asinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9799953Z   test_consistency_SparseCSR_asinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9800113Z   test_consistency_SparseCSR_asinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9800306Z   test_consistency_SparseCSR_atan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9800457Z   test_consistency_SparseCSR_atan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9800625Z   test_consistency_SparseCSR_atan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9800793Z   test_consistency_SparseCSR_atan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9800957Z   test_consistency_SparseCSR_atan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9801124Z   test_consistency_SparseCSR_atan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9801290Z   test_consistency_SparseCSR_atan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9801451Z   test_consistency_SparseCSR_atan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9801614Z   test_consistency_SparseCSR_atan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9801774Z   test_consistency_SparseCSR_atan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9801923Z   test_consistency_SparseCSR_atan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9802090Z   test_consistency_SparseCSR_atanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9802251Z   test_consistency_SparseCSR_atanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9802425Z   test_consistency_SparseCSR_atanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9802595Z   test_consistency_SparseCSR_atanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9802761Z   test_consistency_SparseCSR_atanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9802926Z   test_consistency_SparseCSR_atanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9803094Z   test_consistency_SparseCSR_atanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9803257Z   test_consistency_SparseCSR_atanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9803521Z   test_consistency_SparseCSR_atanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9803682Z   test_consistency_SparseCSR_atanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9803844Z   test_consistency_SparseCSR_atanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804011Z   test_consistency_SparseCSR_ceil_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804179Z   test_consistency_SparseCSR_ceil_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804344Z   test_consistency_SparseCSR_ceil_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804508Z   test_consistency_SparseCSR_ceil_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804669Z   test_consistency_SparseCSR_ceil_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804817Z   test_consistency_SparseCSR_ceil_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9804977Z   test_consistency_SparseCSR_ceil_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9805179Z   test_consistency_SparseCSR_ceil_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9805359Z   test_consistency_SparseCSR_conj_physical_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9805534Z   test_consistency_SparseCSR_conj_physical_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9805719Z   test_consistency_SparseCSR_conj_physical_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9805933Z   test_consistency_SparseCSR_conj_physical_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9806184Z   test_consistency_SparseCSR_conj_physical_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9806392Z   test_consistency_SparseCSR_conj_physical_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9806560Z   test_consistency_SparseCSR_conj_physical_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9806739Z   test_consistency_SparseCSR_conj_physical_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9806912Z   test_consistency_SparseCSR_conj_physical_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9807086Z   test_consistency_SparseCSR_conj_physical_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9807257Z   test_consistency_SparseCSR_conj_physical_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9807431Z   test_consistency_SparseCSR_conj_physical_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9807604Z   test_consistency_SparseCSR_conj_physical_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9807778Z   test_consistency_SparseCSR_deg2rad_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9807949Z   test_consistency_SparseCSR_deg2rad_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9808107Z   test_consistency_SparseCSR_deg2rad_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9808275Z   test_consistency_SparseCSR_deg2rad_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9808437Z   test_consistency_SparseCSR_deg2rad_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9808607Z   test_consistency_SparseCSR_deg2rad_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9808774Z   test_consistency_SparseCSR_deg2rad_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9808939Z   test_consistency_SparseCSR_deg2rad_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9809105Z   test_consistency_SparseCSR_deg2rad_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9809268Z   test_consistency_SparseCSR_deg2rad_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9809437Z   test_consistency_SparseCSR_erf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9809587Z   test_consistency_SparseCSR_erf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9809752Z   test_consistency_SparseCSR_erf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9809916Z   test_consistency_SparseCSR_erf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9810078Z   test_consistency_SparseCSR_erf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9810239Z   test_consistency_SparseCSR_erf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9810397Z   test_consistency_SparseCSR_erf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9810555Z   test_consistency_SparseCSR_erf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9810752Z   test_consistency_SparseCSR_erf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9810922Z   test_consistency_SparseCSR_erfinv_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9811074Z   test_consistency_SparseCSR_erfinv_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9811244Z   test_consistency_SparseCSR_erfinv_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9811442Z   test_consistency_SparseCSR_erfinv_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9811606Z   test_consistency_SparseCSR_erfinv_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9811771Z   test_consistency_SparseCSR_erfinv_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9811933Z   test_consistency_SparseCSR_erfinv_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9812103Z   test_consistency_SparseCSR_erfinv_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9812267Z   test_consistency_SparseCSR_erfinv_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9812425Z   test_consistency_SparseCSR_expm1_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9812591Z   test_consistency_SparseCSR_expm1_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9812758Z   test_consistency_SparseCSR_expm1_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9812923Z   test_consistency_SparseCSR_expm1_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9813085Z   test_consistency_SparseCSR_expm1_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9813248Z   test_consistency_SparseCSR_expm1_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9813414Z   test_consistency_SparseCSR_expm1_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9813578Z   test_consistency_SparseCSR_expm1_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9813739Z   test_consistency_SparseCSR_expm1_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9813895Z   test_consistency_SparseCSR_floor_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9814062Z   test_consistency_SparseCSR_floor_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9814229Z   test_consistency_SparseCSR_floor_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9814389Z   test_consistency_SparseCSR_floor_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9814551Z   test_consistency_SparseCSR_floor_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9814717Z   test_consistency_SparseCSR_floor_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9814880Z   test_consistency_SparseCSR_floor_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9815038Z   test_consistency_SparseCSR_floor_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9815203Z   test_consistency_SparseCSR_frac_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9815361Z   test_consistency_SparseCSR_frac_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9815527Z   test_consistency_SparseCSR_frac_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9815690Z   test_consistency_SparseCSR_frac_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9815857Z   test_consistency_SparseCSR_isinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9816058Z   test_consistency_SparseCSR_isinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9816232Z   test_consistency_SparseCSR_isinf_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9816401Z   test_consistency_SparseCSR_isinf_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9816567Z   test_consistency_SparseCSR_isinf_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9816761Z   test_consistency_SparseCSR_isinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9816913Z   test_consistency_SparseCSR_isinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9817078Z   test_consistency_SparseCSR_isinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9817239Z   test_consistency_SparseCSR_isinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9817407Z   test_consistency_SparseCSR_isinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9817573Z   test_consistency_SparseCSR_isinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9817734Z   test_consistency_SparseCSR_isinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9817894Z   test_consistency_SparseCSR_isinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9818064Z   test_consistency_SparseCSR_isnan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9818216Z   test_consistency_SparseCSR_isnan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9818389Z   test_consistency_SparseCSR_isnan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9818559Z   test_consistency_SparseCSR_isnan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9818728Z   test_consistency_SparseCSR_isnan_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9818894Z   test_consistency_SparseCSR_isnan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9819058Z   test_consistency_SparseCSR_isnan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9819222Z   test_consistency_SparseCSR_isnan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9819383Z   test_consistency_SparseCSR_isnan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9819546Z   test_consistency_SparseCSR_isnan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9819695Z   test_consistency_SparseCSR_isnan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9819857Z   test_consistency_SparseCSR_isnan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9820030Z   test_consistency_SparseCSR_isneginf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9820201Z   test_consistency_SparseCSR_isneginf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9820373Z   test_consistency_SparseCSR_isneginf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9820544Z   test_consistency_SparseCSR_isneginf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9820714Z   test_consistency_SparseCSR_isneginf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9820881Z   test_consistency_SparseCSR_isneginf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9821045Z   test_consistency_SparseCSR_isneginf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9821198Z   test_consistency_SparseCSR_isneginf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9821366Z   test_consistency_SparseCSR_isneginf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9821563Z   test_consistency_SparseCSR_isneginf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9821738Z   test_consistency_SparseCSR_isposinf_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9821904Z   test_consistency_SparseCSR_isposinf_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9822103Z   test_consistency_SparseCSR_isposinf_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9822274Z   test_consistency_SparseCSR_isposinf_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9822439Z   test_consistency_SparseCSR_isposinf_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9822604Z   test_consistency_SparseCSR_isposinf_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9822758Z   test_consistency_SparseCSR_isposinf_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9822919Z   test_consistency_SparseCSR_isposinf_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9823085Z   test_consistency_SparseCSR_isposinf_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9823252Z   test_consistency_SparseCSR_isposinf_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9823421Z   test_consistency_SparseCSR_log1p_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9823585Z   test_consistency_SparseCSR_log1p_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9823755Z   test_consistency_SparseCSR_log1p_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9823927Z   test_consistency_SparseCSR_log1p_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9824082Z   test_consistency_SparseCSR_log1p_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9824246Z   test_consistency_SparseCSR_log1p_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9824410Z   test_consistency_SparseCSR_log1p_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9824573Z   test_consistency_SparseCSR_log1p_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9824735Z   test_consistency_SparseCSR_log1p_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9824898Z   test_consistency_SparseCSR_log1p_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9825062Z   test_consistency_SparseCSR_log1p_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9825804Z   test_consistency_SparseCSR_masked_amax_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... /opt/conda/lib/python3.7/site-packages/torch/masked/_ops.py:768: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1739.)
2023-01-11T21:58:19.9825922Z   0, scatter_indices, values, reduce, include_self=False
2023-01-11T21:58:19.9825990Z ok (0.014s)
2023-01-11T21:58:19.9826156Z   test_consistency_SparseCSR_masked_amax_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9826331Z   test_consistency_SparseCSR_masked_amax_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9826508Z   test_consistency_SparseCSR_masked_amax_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9826756Z   test_consistency_SparseCSR_masked_amax_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9826993Z   test_consistency_SparseCSR_masked_amax_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9827264Z   test_consistency_SparseCSR_masked_amax_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9827510Z   test_consistency_SparseCSR_masked_amax_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9827779Z   test_consistency_SparseCSR_masked_amax_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amax does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9827956Z   test_consistency_SparseCSR_masked_amin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9828131Z   test_consistency_SparseCSR_masked_amin_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9828294Z   test_consistency_SparseCSR_masked_amin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9828466Z   test_consistency_SparseCSR_masked_amin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9828704Z   test_consistency_SparseCSR_masked_amin_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9828946Z   test_consistency_SparseCSR_masked_amin_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9829187Z   test_consistency_SparseCSR_masked_amin_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9829427Z   test_consistency_SparseCSR_masked_amin_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9829672Z   test_consistency_SparseCSR_masked_amin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.amin does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9829848Z   test_consistency_SparseCSR_masked_mean_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9830091Z   test_consistency_SparseCSR_masked_mean_cpu_bool (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9830340Z   test_consistency_SparseCSR_masked_mean_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9830591Z   test_consistency_SparseCSR_masked_mean_cpu_complex64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9830755Z   test_consistency_SparseCSR_masked_mean_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9830933Z   test_consistency_SparseCSR_masked_mean_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9831106Z   test_consistency_SparseCSR_masked_mean_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9831344Z   test_consistency_SparseCSR_masked_mean_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9831585Z   test_consistency_SparseCSR_masked_mean_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9831825Z   test_consistency_SparseCSR_masked_mean_cpu_int64 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9832062Z   test_consistency_SparseCSR_masked_mean_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9832335Z   test_consistency_SparseCSR_masked_mean_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: masked.mean does not support input with torch.sparse_csr layout (0.002s)
2023-01-11T21:58:19.9832514Z   test_consistency_SparseCSR_masked_prod_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9832688Z   test_consistency_SparseCSR_masked_prod_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9832885Z   test_consistency_SparseCSR_masked_prod_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9833064Z   test_consistency_SparseCSR_masked_prod_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9833238Z   test_consistency_SparseCSR_masked_prod_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9833411Z   test_consistency_SparseCSR_masked_prod_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9833584Z   test_consistency_SparseCSR_masked_prod_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9833755Z   test_consistency_SparseCSR_masked_prod_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9833920Z   test_consistency_SparseCSR_masked_prod_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.005s)
2023-01-11T21:58:19.9834169Z   test_consistency_SparseCSR_masked_prod_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9834341Z   test_consistency_SparseCSR_masked_prod_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9834502Z   test_consistency_SparseCSR_masked_sum_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9834671Z   test_consistency_SparseCSR_masked_sum_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9834845Z   test_consistency_SparseCSR_masked_sum_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9835024Z   test_consistency_SparseCSR_masked_sum_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9835197Z   test_consistency_SparseCSR_masked_sum_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9835370Z   test_consistency_SparseCSR_masked_sum_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9835542Z   test_consistency_SparseCSR_masked_sum_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9835716Z   test_consistency_SparseCSR_masked_sum_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9835882Z   test_consistency_SparseCSR_masked_sum_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9836033Z   test_consistency_SparseCSR_masked_sum_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.005s)
2023-01-11T21:58:19.9836199Z   test_consistency_SparseCSR_masked_sum_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9836371Z   test_consistency_SparseCSR_masked_sum_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9836538Z   test_consistency_SparseCSR_neg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9836708Z   test_consistency_SparseCSR_neg_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9836874Z   test_consistency_SparseCSR_neg_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9837044Z   test_consistency_SparseCSR_neg_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9837210Z   test_consistency_SparseCSR_neg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9837375Z   test_consistency_SparseCSR_neg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9837528Z   test_consistency_SparseCSR_neg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9837720Z   test_consistency_SparseCSR_neg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9837882Z   test_consistency_SparseCSR_neg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9838042Z   test_consistency_SparseCSR_neg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9838204Z   test_consistency_SparseCSR_neg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9838394Z   test_consistency_SparseCSR_neg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9838578Z   test_consistency_SparseCSR_nn_functional_relu_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9838761Z   test_consistency_SparseCSR_nn_functional_relu_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9838942Z   test_consistency_SparseCSR_nn_functional_relu_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9839113Z   test_consistency_SparseCSR_nn_functional_relu_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9839292Z   test_consistency_SparseCSR_nn_functional_relu_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9839470Z   test_consistency_SparseCSR_nn_functional_relu_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9839651Z   test_consistency_SparseCSR_nn_functional_relu_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9839827Z   test_consistency_SparseCSR_nn_functional_relu_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9840000Z   test_consistency_SparseCSR_positive_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9840175Z   test_consistency_SparseCSR_positive_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9840350Z   test_consistency_SparseCSR_positive_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9840523Z   test_consistency_SparseCSR_positive_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9840683Z   test_consistency_SparseCSR_positive_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9840851Z   test_consistency_SparseCSR_positive_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9841018Z   test_consistency_SparseCSR_positive_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9841185Z   test_consistency_SparseCSR_positive_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9841348Z   test_consistency_SparseCSR_positive_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9841508Z   test_consistency_SparseCSR_positive_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9841676Z   test_consistency_SparseCSR_positive_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9841842Z   test_consistency_SparseCSR_positive_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9842015Z   test_consistency_SparseCSR_rad2deg_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9842170Z   test_consistency_SparseCSR_rad2deg_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9842342Z   test_consistency_SparseCSR_rad2deg_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9842507Z   test_consistency_SparseCSR_rad2deg_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9842669Z   test_consistency_SparseCSR_rad2deg_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9842833Z   test_consistency_SparseCSR_rad2deg_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9843029Z   test_consistency_SparseCSR_rad2deg_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9843197Z   test_consistency_SparseCSR_rad2deg_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9843470Z   test_consistency_SparseCSR_rad2deg_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9843636Z   test_consistency_SparseCSR_rad2deg_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9843853Z   test_consistency_SparseCSR_randn_like_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.006s)
2023-01-11T21:58:19.9844032Z   test_consistency_SparseCSR_randn_like_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9844207Z   test_consistency_SparseCSR_randn_like_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9844382Z   test_consistency_SparseCSR_randn_like_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9844558Z   test_consistency_SparseCSR_randn_like_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9844729Z   test_consistency_SparseCSR_randn_like_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9844900Z   test_consistency_SparseCSR_randn_like_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9845070Z   test_consistency_SparseCSR_round_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9845238Z   test_consistency_SparseCSR_round_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9845392Z   test_consistency_SparseCSR_round_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9845555Z   test_consistency_SparseCSR_round_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9845720Z   test_consistency_SparseCSR_round_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9845887Z   test_consistency_SparseCSR_round_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9846053Z   test_consistency_SparseCSR_round_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9846215Z   test_consistency_SparseCSR_round_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9846382Z   test_consistency_SparseCSR_sgn_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9846546Z   test_consistency_SparseCSR_sgn_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9846703Z   test_consistency_SparseCSR_sgn_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9846867Z   test_consistency_SparseCSR_sgn_cpu_complex32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9847032Z   test_consistency_SparseCSR_sgn_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9847196Z   test_consistency_SparseCSR_sgn_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9847357Z   test_consistency_SparseCSR_sgn_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9847521Z   test_consistency_SparseCSR_sgn_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9847682Z   test_consistency_SparseCSR_sgn_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9847843Z   test_consistency_SparseCSR_sgn_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9848006Z   test_consistency_SparseCSR_sgn_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9848155Z   test_consistency_SparseCSR_sgn_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9848313Z   test_consistency_SparseCSR_sgn_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9848513Z   test_consistency_SparseCSR_sign_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9848676Z   test_consistency_SparseCSR_sign_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9848842Z   test_consistency_SparseCSR_sign_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849006Z   test_consistency_SparseCSR_sign_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849198Z   test_consistency_SparseCSR_sign_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849360Z   test_consistency_SparseCSR_sign_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849523Z   test_consistency_SparseCSR_sign_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849673Z   test_consistency_SparseCSR_sign_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849832Z   test_consistency_SparseCSR_sign_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9849996Z   test_consistency_SparseCSR_sign_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9850166Z   test_consistency_SparseCSR_signbit_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9850331Z   test_consistency_SparseCSR_signbit_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9850504Z   test_consistency_SparseCSR_signbit_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9850669Z   test_consistency_SparseCSR_signbit_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9850830Z   test_consistency_SparseCSR_signbit_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9850983Z   test_consistency_SparseCSR_signbit_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9851151Z   test_consistency_SparseCSR_signbit_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9851318Z   test_consistency_SparseCSR_signbit_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9851481Z   test_consistency_SparseCSR_signbit_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9851645Z   test_consistency_SparseCSR_signbit_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9851809Z   test_consistency_SparseCSR_sin_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9851971Z   test_consistency_SparseCSR_sin_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9852140Z   test_consistency_SparseCSR_sin_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9852303Z   test_consistency_SparseCSR_sin_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9852456Z   test_consistency_SparseCSR_sin_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9852623Z   test_consistency_SparseCSR_sin_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9852783Z   test_consistency_SparseCSR_sin_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9852944Z   test_consistency_SparseCSR_sin_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9853103Z   test_consistency_SparseCSR_sin_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9853267Z   test_consistency_SparseCSR_sin_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9853426Z   test_consistency_SparseCSR_sin_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9853593Z   test_consistency_SparseCSR_sinh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9853750Z   test_consistency_SparseCSR_sinh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9853950Z   test_consistency_SparseCSR_sinh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9854122Z   test_consistency_SparseCSR_sinh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9854288Z   test_consistency_SparseCSR_sinh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9854452Z   test_consistency_SparseCSR_sinh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9854643Z   test_consistency_SparseCSR_sinh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9854805Z   test_consistency_SparseCSR_sinh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9854965Z   test_consistency_SparseCSR_sinh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9855124Z   test_consistency_SparseCSR_sinh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9855275Z   test_consistency_SparseCSR_sinh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9855442Z   test_consistency_SparseCSR_sqrt_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9855604Z   test_consistency_SparseCSR_sqrt_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9855774Z   test_consistency_SparseCSR_sqrt_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9855945Z   test_consistency_SparseCSR_sqrt_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9856107Z   test_consistency_SparseCSR_sqrt_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9856270Z   test_consistency_SparseCSR_sqrt_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9856429Z   test_consistency_SparseCSR_sqrt_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9856591Z   test_consistency_SparseCSR_sqrt_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9856740Z   test_consistency_SparseCSR_sqrt_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9856900Z   test_consistency_SparseCSR_sqrt_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9857060Z   test_consistency_SparseCSR_sqrt_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9857228Z   test_consistency_SparseCSR_tan_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9857392Z   test_consistency_SparseCSR_tan_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9857558Z   test_consistency_SparseCSR_tan_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9857722Z   test_consistency_SparseCSR_tan_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9857886Z   test_consistency_SparseCSR_tan_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9858051Z   test_consistency_SparseCSR_tan_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9858199Z   test_consistency_SparseCSR_tan_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9858359Z   test_consistency_SparseCSR_tan_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9858517Z   test_consistency_SparseCSR_tan_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9858677Z   test_consistency_SparseCSR_tan_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9858836Z   test_consistency_SparseCSR_tan_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9859000Z   test_consistency_SparseCSR_tanh_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9859156Z   test_consistency_SparseCSR_tanh_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9859360Z   test_consistency_SparseCSR_tanh_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9859519Z   test_consistency_SparseCSR_tanh_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9859684Z   test_consistency_SparseCSR_tanh_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9859850Z   test_consistency_SparseCSR_tanh_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9860040Z   test_consistency_SparseCSR_tanh_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9860202Z   test_consistency_SparseCSR_tanh_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9860363Z   test_consistency_SparseCSR_tanh_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9860524Z   test_consistency_SparseCSR_tanh_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9860687Z   test_consistency_SparseCSR_tanh_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9860862Z   test_consistency_SparseCSR_to_sparse_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9861019Z   test_consistency_SparseCSR_to_sparse_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9861196Z   test_consistency_SparseCSR_to_sparse_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9861375Z   test_consistency_SparseCSR_to_sparse_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9861547Z   test_consistency_SparseCSR_to_sparse_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9861718Z   test_consistency_SparseCSR_to_sparse_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9861883Z   test_consistency_SparseCSR_to_sparse_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9862052Z   test_consistency_SparseCSR_to_sparse_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9862215Z   test_consistency_SparseCSR_to_sparse_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9862376Z   test_consistency_SparseCSR_to_sparse_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9862531Z   test_consistency_SparseCSR_to_sparse_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9862697Z   test_consistency_SparseCSR_to_sparse_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9862867Z   test_consistency_SparseCSR_trunc_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9863034Z   test_consistency_SparseCSR_trunc_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9863199Z   test_consistency_SparseCSR_trunc_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9863365Z   test_consistency_SparseCSR_trunc_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9863527Z   test_consistency_SparseCSR_trunc_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9863690Z   test_consistency_SparseCSR_trunc_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9863853Z   test_consistency_SparseCSR_trunc_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9864004Z   test_consistency_SparseCSR_trunc_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2023-01-11T21:58:19.9864161Z   test_copy_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9864312Z   test_copy_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9864469Z   test_copy_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9864651Z   test_copy_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9864804Z   test_copy_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9864953Z   test_copy_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9865098Z   test_copy_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.013s)
2023-01-11T21:58:19.9865236Z   test_copy_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9865414Z   test_copy_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9865559Z   test_copy_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9865708Z   test_copy_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9865856Z   test_copy_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9866012Z   test_copy_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9866161Z   test_copy_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9866316Z   test_copy_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9866460Z   test_copy_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9866613Z   test_copy_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9866762Z   test_copy_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9866910Z   test_copy_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9867059Z   test_copy_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9867205Z   test_copy_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9867353Z   test_copy_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9867500Z   test_copy_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.011s)
2023-01-11T21:58:19.9867650Z   test_copy_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.012s)
2023-01-11T21:58:19.9867791Z   test_copy_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9867939Z   test_copy_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9868098Z   test_copy_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9868252Z   test_copy_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9868404Z   test_copy_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.009s)
2023-01-11T21:58:19.9868552Z   test_copy_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9868707Z   test_copy_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9868855Z   test_copy_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9868987Z   test_copy_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9869131Z   test_copy_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9869279Z   test_copy_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9869429Z   test_copy_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9869582Z   test_copy_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9869729Z   test_copy_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9869889Z   test_copy_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9870042Z   test_copy_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9870208Z   test_copy_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9870358Z   test_copy_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9870505Z   test_copy_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.008s)
2023-01-11T21:58:19.9870655Z   test_copy_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9870829Z   test_copy_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9870972Z   test_copy_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9871120Z   test_copy_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9871266Z   test_copy_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.007s)
2023-01-11T21:58:19.9871413Z   test_copy_errors_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.034s)
2023-01-11T21:58:19.9871572Z   test_copy_errors_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9871738Z   test_copy_errors_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9871902Z   test_copy_errors_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872062Z   test_copy_errors_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872222Z   test_copy_errors_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872377Z   test_copy_errors_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872535Z   test_copy_errors_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872691Z   test_copy_errors_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872832Z   test_copy_errors_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9872990Z   test_copy_errors_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9873148Z   test_copy_errors_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9873307Z   test_copy_errors_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9873462Z   test_copy_errors_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9873625Z   test_copy_errors_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9873787Z   test_copy_errors_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874020Z   test_copy_errors_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874172Z   test_copy_errors_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874329Z   test_copy_errors_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874486Z   test_copy_errors_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874640Z   test_copy_errors_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874794Z   test_copy_errors_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9874952Z   test_copy_errors_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9875105Z   test_copy_errors_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:19.9875266Z   test_copy_errors_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9875421Z   test_copy_errors_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9875636Z   test_copy_errors_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9875803Z   test_copy_errors_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9875962Z   test_copy_errors_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9876121Z   test_copy_errors_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9876302Z   test_copy_errors_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9876455Z   test_copy_errors_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9876612Z   test_copy_errors_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9876766Z   test_copy_errors_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9876907Z   test_copy_errors_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9877063Z   test_copy_errors_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9877224Z   test_copy_errors_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9877379Z   test_copy_errors_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9877542Z   test_copy_errors_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9877705Z   test_copy_errors_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9877862Z   test_copy_errors_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9878020Z   test_copy_errors_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9878173Z   test_copy_errors_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9878316Z   test_copy_errors_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9878467Z   test_copy_errors_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9878621Z   test_copy_errors_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9878776Z   test_copy_errors_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9878931Z   test_copy_errors_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9879075Z   test_dim_SparseBSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.023s)
2023-01-11T21:58:19.9879217Z   test_dim_SparseBSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.022s)
2023-01-11T21:58:19.9879356Z   test_dim_SparseCSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.020s)
2023-01-11T21:58:19.9879485Z   test_dim_SparseCSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.020s)
2023-01-11T21:58:19.9879641Z   test_empty_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9879791Z   test_empty_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9879948Z   test_empty_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9880104Z   test_empty_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9880257Z   test_empty_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9880405Z   test_empty_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9880550Z   test_empty_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9880701Z   test_empty_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9880837Z   test_empty_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881011Z   test_empty_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881160Z   test_empty_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881307Z   test_empty_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881463Z   test_empty_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881640Z   test_empty_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881797Z   test_empty_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9881950Z   test_empty_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882092Z   test_empty_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882239Z   test_empty_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882388Z   test_empty_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882536Z   test_empty_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882681Z   test_empty_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882828Z   test_empty_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9882978Z   test_empty_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9883126Z   test_empty_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.019s)
2023-01-11T21:58:19.9883278Z   test_empty_errors_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9883534Z   test_empty_errors_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9883702Z   test_empty_errors_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9883922Z   test_empty_errors_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9884173Z   test_empty_errors_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9884357Z   test_empty_errors_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9884514Z   test_empty_errors_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9884674Z   test_empty_errors_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9884831Z   test_empty_errors_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9884972Z   test_empty_errors_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9885125Z   test_empty_errors_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9885285Z   test_empty_errors_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9885446Z   test_empty_errors_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9885600Z   test_empty_errors_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9885767Z   test_empty_errors_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9885934Z   test_empty_errors_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9886092Z   test_empty_errors_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9886240Z   test_empty_errors_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9886399Z   test_empty_errors_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9886554Z   test_empty_errors_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9886764Z   test_empty_errors_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9886917Z   test_empty_errors_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9887072Z   test_empty_errors_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9887230Z   test_empty_errors_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.004s)
2023-01-11T21:58:19.9887441Z   test_empty_like_SparseBSC_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9887610Z   test_empty_like_SparseBSC_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9887776Z   test_empty_like_SparseBSC_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9887950Z   test_empty_like_SparseBSC_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9888122Z   test_empty_like_SparseBSC_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9888289Z   test_empty_like_SparseBSC_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9888451Z   test_empty_like_SparseBSC_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9888617Z   test_empty_like_SparseBSC_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9888788Z   test_empty_like_SparseBSC_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9888951Z   test_empty_like_SparseBSC_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9889116Z   test_empty_like_SparseBSC_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9889273Z   test_empty_like_SparseBSC_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9889448Z   test_empty_like_SparseBSC_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9889614Z   test_empty_like_SparseBSC_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9889789Z   test_empty_like_SparseBSC_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9889964Z   test_empty_like_SparseBSC_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9890135Z   test_empty_like_SparseBSC_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9890302Z   test_empty_like_SparseBSC_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9890474Z   test_empty_like_SparseBSC_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9890629Z   test_empty_like_SparseBSC_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9890793Z   test_empty_like_SparseBSC_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9890951Z   test_empty_like_SparseBSC_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9891112Z   test_empty_like_SparseBSC_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9891280Z   test_empty_like_SparseBSC_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9891451Z   test_empty_like_SparseBSC_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9891616Z   test_empty_like_SparseBSC_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9891791Z   test_empty_like_SparseBSC_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9891964Z   test_empty_like_SparseBSC_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9892167Z   test_empty_like_SparseBSC_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9892336Z   test_empty_like_SparseBSC_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9892499Z   test_empty_like_SparseBSC_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9892694Z   test_empty_like_SparseBSC_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9892855Z   test_empty_like_SparseBSC_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9893020Z   test_empty_like_SparseBSC_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9893183Z   test_empty_like_SparseBSC_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9893351Z   test_empty_like_SparseBSC_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9893524Z   test_empty_like_SparseBSC_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9893678Z   test_empty_like_SparseBSC_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9893854Z   test_empty_like_SparseBSC_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9894032Z   test_empty_like_SparseBSC_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9894201Z   test_empty_like_SparseBSC_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.114s)
2023-01-11T21:58:19.9894365Z   test_empty_like_SparseBSC_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9894526Z   test_empty_like_SparseBSC_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9894694Z   test_empty_like_SparseBSC_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9894857Z   test_empty_like_SparseBSC_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9895016Z   test_empty_like_SparseBSC_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9895168Z   test_empty_like_SparseBSC_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9895333Z   test_empty_like_SparseBSC_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9895504Z   test_empty_like_SparseBSR_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9895668Z   test_empty_like_SparseBSR_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9895843Z   test_empty_like_SparseBSR_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9896018Z   test_empty_like_SparseBSR_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9896188Z   test_empty_like_SparseBSR_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9896357Z   test_empty_like_SparseBSR_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9896521Z   test_empty_like_SparseBSR_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9896678Z   test_empty_like_SparseBSR_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9896841Z   test_empty_like_SparseBSR_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9897000Z   test_empty_like_SparseBSR_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9897166Z   test_empty_like_SparseBSR_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9897360Z   test_empty_like_SparseBSR_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9897533Z   test_empty_like_SparseBSR_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9897699Z   test_empty_like_SparseBSR_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9897872Z   test_empty_like_SparseBSR_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9898070Z   test_empty_like_SparseBSR_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9898229Z   test_empty_like_SparseBSR_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9898395Z   test_empty_like_SparseBSR_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.026s)
2023-01-11T21:58:19.9898560Z   test_empty_like_SparseBSR_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.026s)
2023-01-11T21:58:19.9898726Z   test_empty_like_SparseBSR_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9898892Z   test_empty_like_SparseBSR_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9899053Z   test_empty_like_SparseBSR_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.026s)
2023-01-11T21:58:19.9899218Z   test_empty_like_SparseBSR_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.027s)
2023-01-11T21:58:19.9899384Z   test_empty_like_SparseBSR_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.026s)
2023-01-11T21:58:19.9899543Z   test_empty_like_SparseBSR_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9899707Z   test_empty_like_SparseBSR_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9899884Z   test_empty_like_SparseBSR_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9900056Z   test_empty_like_SparseBSR_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9900224Z   test_empty_like_SparseBSR_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9900390Z   test_empty_like_SparseBSR_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9900559Z   test_empty_like_SparseBSR_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9900727Z   test_empty_like_SparseBSR_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9900889Z   test_empty_like_SparseBSR_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9901039Z   test_empty_like_SparseBSR_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9901202Z   test_empty_like_SparseBSR_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9901367Z   test_empty_like_SparseBSR_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9901539Z   test_empty_like_SparseBSR_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9901702Z   test_empty_like_SparseBSR_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9901876Z   test_empty_like_SparseBSR_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9902052Z   test_empty_like_SparseBSR_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9902221Z   test_empty_like_SparseBSR_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9902390Z   test_empty_like_SparseBSR_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9902542Z   test_empty_like_SparseBSR_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9902739Z   test_empty_like_SparseBSR_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9902908Z   test_empty_like_SparseBSR_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9903071Z   test_empty_like_SparseBSR_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9903237Z   test_empty_like_SparseBSR_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9903432Z   test_empty_like_SparseBSR_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.113s)
2023-01-11T21:58:19.9903603Z   test_empty_like_SparseCSC_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9903768Z   test_empty_like_SparseCSC_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9903943Z   test_empty_like_SparseCSC_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9904106Z   test_empty_like_SparseCSC_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9904276Z   test_empty_like_SparseCSC_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9904441Z   test_empty_like_SparseCSC_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9904611Z   test_empty_like_SparseCSC_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9904778Z   test_empty_like_SparseCSC_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9904939Z   test_empty_like_SparseCSC_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9905098Z   test_empty_like_SparseCSC_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9905262Z   test_empty_like_SparseCSC_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9905429Z   test_empty_like_SparseCSC_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9905590Z   test_empty_like_SparseCSC_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9905755Z   test_empty_like_SparseCSC_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9905928Z   test_empty_like_SparseCSC_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.112s)
2023-01-11T21:58:19.9906102Z   test_empty_like_SparseCSC_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9906268Z   test_empty_like_SparseCSC_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9906432Z   test_empty_like_SparseCSC_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9906593Z   test_empty_like_SparseCSC_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9906759Z   test_empty_like_SparseCSC_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9906921Z   test_empty_like_SparseCSC_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9907072Z   test_empty_like_SparseCSC_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9907240Z   test_empty_like_SparseCSC_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9907405Z   test_empty_like_SparseCSC_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9907572Z   test_empty_like_SparseCSC_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9907735Z   test_empty_like_SparseCSC_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9907908Z   test_empty_like_SparseCSC_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9908109Z   test_empty_like_SparseCSC_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9908277Z   test_empty_like_SparseCSC_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9908444Z   test_empty_like_SparseCSC_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9908624Z   test_empty_like_SparseCSC_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9908789Z   test_empty_like_SparseCSC_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9908951Z   test_empty_like_SparseCSC_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9909111Z   test_empty_like_SparseCSC_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9909276Z   test_empty_like_SparseCSC_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9909444Z   test_empty_like_SparseCSC_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9909617Z   test_empty_like_SparseCSC_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9909782Z   test_empty_like_SparseCSC_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9909947Z   test_empty_like_SparseCSC_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9910122Z   test_empty_like_SparseCSC_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9910291Z   test_empty_like_SparseCSC_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9910461Z   test_empty_like_SparseCSC_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9910628Z   test_empty_like_SparseCSC_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9910794Z   test_empty_like_SparseCSC_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9910955Z   test_empty_like_SparseCSC_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9911114Z   test_empty_like_SparseCSC_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9911282Z   test_empty_like_SparseCSC_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9911436Z   test_empty_like_SparseCSC_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9911609Z   test_empty_like_SparseCSR_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9911775Z   test_empty_like_SparseCSR_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9911952Z   test_empty_like_SparseCSR_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9912124Z   test_empty_like_SparseCSR_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9912297Z   test_empty_like_SparseCSR_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9912466Z   test_empty_like_SparseCSR_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.110s)
2023-01-11T21:58:19.9912633Z   test_empty_like_SparseCSR_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9912800Z   test_empty_like_SparseCSR_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9912952Z   test_empty_like_SparseCSR_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9913115Z   test_empty_like_SparseCSR_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9913309Z   test_empty_like_SparseCSR_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9913476Z   test_empty_like_SparseCSR_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9913647Z   test_empty_like_SparseCSR_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9913814Z   test_empty_like_SparseCSR_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9914096Z   test_empty_like_SparseCSR_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9914274Z   test_empty_like_SparseCSR_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9914445Z   test_empty_like_SparseCSR_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9914600Z   test_empty_like_SparseCSR_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.110s)
2023-01-11T21:58:19.9914774Z   test_empty_like_SparseCSR_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9914941Z   test_empty_like_SparseCSR_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9915105Z   test_empty_like_SparseCSR_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9915268Z   test_empty_like_SparseCSR_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9915435Z   test_empty_like_SparseCSR_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9915600Z   test_empty_like_SparseCSR_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9915771Z   test_empty_like_SparseCSR_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9915937Z   test_empty_like_SparseCSR_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9916104Z   test_empty_like_SparseCSR_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9916279Z   test_empty_like_SparseCSR_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9916446Z   test_empty_like_SparseCSR_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9916612Z   test_empty_like_SparseCSR_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9916777Z   test_empty_like_SparseCSR_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9916942Z   test_empty_like_SparseCSR_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9917103Z   test_empty_like_SparseCSR_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9917269Z   test_empty_like_SparseCSR_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9917436Z   test_empty_like_SparseCSR_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9917589Z   test_empty_like_SparseCSR_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.111s)
2023-01-11T21:58:19.9917808Z   test_empty_like_SparseCSR_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9918105Z   test_empty_like_SparseCSR_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.025s)
2023-01-11T21:58:19.9918323Z   test_empty_like_SparseCSR_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9918530Z   test_empty_like_SparseCSR_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9918731Z   test_empty_like_SparseCSR_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9918932Z   test_empty_like_SparseCSR_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9919158Z   test_empty_like_SparseCSR_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9919315Z   test_empty_like_SparseCSR_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9919531Z   test_empty_like_SparseCSR_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9919712Z   test_empty_like_SparseCSR_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9919962Z   test_empty_like_SparseCSR_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9920151Z   test_empty_like_SparseCSR_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.024s)
2023-01-11T21:58:19.9920369Z   test_invalid_input_SparseBSC_target_sparse_compressed_tensor_cpu (__main__.TestSparseCompressedCPU) ... ok (0.071s)
2023-01-11T21:58:19.9920593Z   test_invalid_input_SparseBSC_target_sparse_compressed_tensor_no_size_cpu (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9920828Z   test_invalid_input_SparseBSC_target_validate_sparse_compressed_tensor_args_cpu (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9921042Z   test_invalid_input_SparseBSR_target_sparse_compressed_tensor_cpu (__main__.TestSparseCompressedCPU) ... ok (0.071s)
2023-01-11T21:58:19.9921230Z   test_invalid_input_SparseBSR_target_sparse_compressed_tensor_no_size_cpu (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9921475Z   test_invalid_input_SparseBSR_target_validate_sparse_compressed_tensor_args_cpu (__main__.TestSparseCompressedCPU) ... ok (0.056s)
2023-01-11T21:58:19.9921690Z   test_invalid_input_SparseCSC_target_sparse_compressed_tensor_cpu (__main__.TestSparseCompressedCPU) ... ok (0.066s)
2023-01-11T21:58:19.9921932Z   test_invalid_input_SparseCSC_target_sparse_compressed_tensor_no_size_cpu (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9922170Z   test_invalid_input_SparseCSC_target_validate_sparse_compressed_tensor_args_cpu (__main__.TestSparseCompressedCPU) ... ok (0.055s)
2023-01-11T21:58:19.9922379Z   test_invalid_input_SparseCSR_target_sparse_compressed_tensor_cpu (__main__.TestSparseCompressedCPU) ... ok (0.066s)
2023-01-11T21:58:19.9922593Z   test_invalid_input_SparseCSR_target_sparse_compressed_tensor_no_size_cpu (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9922824Z   test_invalid_input_SparseCSR_target_validate_sparse_compressed_tensor_args_cpu (__main__.TestSparseCompressedCPU) ... ok (0.054s)
2023-01-11T21:58:19.9923029Z   test_layout_SparseBSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2023-01-11T21:58:19.9923200Z   test_layout_SparseBSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2023-01-11T21:58:19.9923337Z   test_layout_SparseCSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2023-01-11T21:58:19.9923618Z   test_layout_SparseCSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2023-01-11T21:58:19.9923826Z   test_pickle_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.126s)
2023-01-11T21:58:19.9924005Z   test_pickle_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.116s)
2023-01-11T21:58:19.9924181Z   test_pickle_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.085s)
2023-01-11T21:58:19.9924360Z   test_pickle_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.076s)
2023-01-11T21:58:19.9924537Z   test_print_SparseBSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.106s)
2023-01-11T21:58:19.9924710Z   test_print_SparseBSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.105s)
2023-01-11T21:58:19.9924841Z   test_print_SparseCSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9925006Z   test_print_SparseCSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9925203Z   test_select_copy_SparseBSC_int32_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.527s)
2023-01-11T21:58:19.9925457Z   test_select_copy_SparseBSC_int32_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.505s)
2023-01-11T21:58:19.9925654Z   test_select_copy_SparseBSC_int32_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.540s)
2023-01-11T21:58:19.9925849Z   test_select_copy_SparseBSC_int32_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.551s)
2023-01-11T21:58:19.9926048Z   test_select_copy_SparseBSC_int32_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.531s)
2023-01-11T21:58:19.9926292Z   test_select_copy_SparseBSC_int32_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.525s)
2023-01-11T21:58:19.9926482Z   test_select_copy_SparseBSC_int32_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.523s)
2023-01-11T21:58:19.9926635Z   test_select_copy_SparseBSC_int32_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.507s)
2023-01-11T21:58:19.9926821Z   test_select_copy_SparseBSC_int32_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.499s)
2023-01-11T21:58:19.9927009Z   test_select_copy_SparseBSC_int32_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.494s)
2023-01-11T21:58:19.9927218Z   test_select_copy_SparseBSC_int32_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.506s)
2023-01-11T21:58:19.9927409Z   test_select_copy_SparseBSC_int32_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.506s)
2023-01-11T21:58:19.9927602Z   test_select_copy_SparseBSC_int64_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.518s)
2023-01-11T21:58:19.9927789Z   test_select_copy_SparseBSC_int64_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.498s)
2023-01-11T21:58:19.9927985Z   test_select_copy_SparseBSC_int64_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.534s)
2023-01-11T21:58:19.9928179Z   test_select_copy_SparseBSC_int64_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.537s)
2023-01-11T21:58:19.9928331Z   test_select_copy_SparseBSC_int64_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.512s)
2023-01-11T21:58:19.9928521Z   test_select_copy_SparseBSC_int64_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.509s)
2023-01-11T21:58:19.9928709Z   test_select_copy_SparseBSC_int64_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.504s)
2023-01-11T21:58:19.9928928Z   test_select_copy_SparseBSC_int64_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.488s)
2023-01-11T21:58:19.9929111Z   test_select_copy_SparseBSC_int64_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.488s)
2023-01-11T21:58:19.9929297Z   test_select_copy_SparseBSC_int64_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.485s)
2023-01-11T21:58:19.9929507Z   test_select_copy_SparseBSC_int64_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.488s)
2023-01-11T21:58:19.9929692Z   test_select_copy_SparseBSC_int64_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.490s)
2023-01-11T21:58:19.9929848Z   test_select_copy_SparseBSR_int32_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.498s)
2023-01-11T21:58:19.9930032Z   test_select_copy_SparseBSR_int32_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.475s)
2023-01-11T21:58:19.9930227Z   test_select_copy_SparseBSR_int32_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.510s)
2023-01-11T21:58:19.9930426Z   test_select_copy_SparseBSR_int32_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.516s)
2023-01-11T21:58:19.9930640Z   test_select_copy_SparseBSR_int32_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.500s)
2023-01-11T21:58:19.9930830Z   test_select_copy_SparseBSR_int32_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.497s)
2023-01-11T21:58:19.9931017Z   test_select_copy_SparseBSR_int32_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.494s)
2023-01-11T21:58:19.9931203Z   test_select_copy_SparseBSR_int32_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.480s)
2023-01-11T21:58:19.9931388Z   test_select_copy_SparseBSR_int32_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.480s)
2023-01-11T21:58:19.9931570Z   test_select_copy_SparseBSR_int32_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.475s)
2023-01-11T21:58:19.9931757Z   test_select_copy_SparseBSR_int32_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.477s)
2023-01-11T21:58:19.9931947Z   test_select_copy_SparseBSR_int32_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.478s)
2023-01-11T21:58:19.9932138Z   test_select_copy_SparseBSR_int64_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.488s)
2023-01-11T21:58:19.9932369Z   test_select_copy_SparseBSR_int64_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.473s)
2023-01-11T21:58:19.9932562Z   test_select_copy_SparseBSR_int64_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.505s)
2023-01-11T21:58:19.9932777Z   test_select_copy_SparseBSR_int64_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.506s)
2023-01-11T21:58:19.9932966Z   test_select_copy_SparseBSR_int64_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.492s)
2023-01-11T21:58:19.9933159Z   test_select_copy_SparseBSR_int64_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.489s)
2023-01-11T21:58:19.9933315Z   test_select_copy_SparseBSR_int64_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.485s)
2023-01-11T21:58:19.9933498Z   test_select_copy_SparseBSR_int64_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.471s)
2023-01-11T21:58:19.9933684Z   test_select_copy_SparseBSR_int64_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.471s)
2023-01-11T21:58:19.9933871Z   test_select_copy_SparseBSR_int64_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.466s)
2023-01-11T21:58:19.9934075Z   test_select_copy_SparseBSR_int64_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.470s)
2023-01-11T21:58:19.9934257Z   test_select_copy_SparseBSR_int64_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.471s)
2023-01-11T21:58:19.9934446Z   test_select_copy_SparseCSC_int32_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.422s)
2023-01-11T21:58:19.9934638Z   test_select_copy_SparseCSC_int32_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.401s)
2023-01-11T21:58:19.9934797Z   test_select_copy_SparseCSC_int32_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.439s)
2023-01-11T21:58:19.9934989Z   test_select_copy_SparseCSC_int32_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.445s)
2023-01-11T21:58:19.9935172Z   test_select_copy_SparseCSC_int32_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.427s)
2023-01-11T21:58:19.9935358Z   test_select_copy_SparseCSC_int32_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.423s)
2023-01-11T21:58:19.9935551Z   test_select_copy_SparseCSC_int32_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.420s)
2023-01-11T21:58:19.9935757Z   test_select_copy_SparseCSC_int32_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.403s)
2023-01-11T21:58:19.9935961Z   test_select_copy_SparseCSC_int32_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.403s)
2023-01-11T21:58:19.9936152Z   test_select_copy_SparseCSC_int32_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.400s)
2023-01-11T21:58:19.9936337Z   test_select_copy_SparseCSC_int32_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.403s)
2023-01-11T21:58:19.9936485Z   test_select_copy_SparseCSC_int32_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.404s)
2023-01-11T21:58:19.9936674Z   test_select_copy_SparseCSC_int64_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.421s)
2023-01-11T21:58:19.9936858Z   test_select_copy_SparseCSC_int64_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.399s)
2023-01-11T21:58:19.9937056Z   test_select_copy_SparseCSC_int64_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.435s)
2023-01-11T21:58:19.9937249Z   test_select_copy_SparseCSC_int64_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.439s)
2023-01-11T21:58:19.9937458Z   test_select_copy_SparseCSC_int64_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.422s)
2023-01-11T21:58:19.9937650Z   test_select_copy_SparseCSC_int64_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.420s)
2023-01-11T21:58:19.9937865Z   test_select_copy_SparseCSC_int64_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.417s)
2023-01-11T21:58:19.9938052Z   test_select_copy_SparseCSC_int64_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.400s)
2023-01-11T21:58:19.9938201Z   test_select_copy_SparseCSC_int64_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.399s)
2023-01-11T21:58:19.9955116Z   test_select_copy_SparseCSC_int64_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.397s)
2023-01-11T21:58:19.9955439Z   test_select_copy_SparseCSC_int64_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.399s)
2023-01-11T21:58:19.9955602Z   test_select_copy_SparseCSC_int64_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.399s)
2023-01-11T21:58:19.9955769Z   test_select_copy_SparseCSR_int32_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.405s)
2023-01-11T21:58:19.9955926Z   test_select_copy_SparseCSR_int32_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.385s)
2023-01-11T21:58:19.9956104Z   test_select_copy_SparseCSR_int32_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.421s)
2023-01-11T21:58:19.9956271Z   test_select_copy_SparseCSR_int32_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.424s)
2023-01-11T21:58:19.9956434Z   test_select_copy_SparseCSR_int32_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.407s)
2023-01-11T21:58:19.9956589Z   test_select_copy_SparseCSR_int32_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.406s)
2023-01-11T21:58:19.9956752Z   test_select_copy_SparseCSR_int32_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.403s)
2023-01-11T21:58:19.9956914Z   test_select_copy_SparseCSR_int32_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.387s)
2023-01-11T21:58:19.9957073Z   test_select_copy_SparseCSR_int32_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.387s)
2023-01-11T21:58:19.9957233Z   test_select_copy_SparseCSR_int32_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.385s)
2023-01-11T21:58:19.9957391Z   test_select_copy_SparseCSR_int32_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.386s)
2023-01-11T21:58:19.9957548Z   test_select_copy_SparseCSR_int32_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.386s)
2023-01-11T21:58:19.9957716Z   test_select_copy_SparseCSR_int64_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.406s)
2023-01-11T21:58:19.9957866Z   test_select_copy_SparseCSR_int64_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.384s)
2023-01-11T21:58:19.9958041Z   test_select_copy_SparseCSR_int64_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.417s)
2023-01-11T21:58:19.9958205Z   test_select_copy_SparseCSR_int64_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.422s)
2023-01-11T21:58:19.9958368Z   test_select_copy_SparseCSR_int64_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.406s)
2023-01-11T21:58:19.9958530Z   test_select_copy_SparseCSR_int64_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.404s)
2023-01-11T21:58:19.9958692Z   test_select_copy_SparseCSR_int64_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.400s)
2023-01-11T21:58:19.9958853Z   test_select_copy_SparseCSR_int64_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.384s)
2023-01-11T21:58:19.9959010Z   test_select_copy_SparseCSR_int64_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.385s)
2023-01-11T21:58:19.9959168Z   test_select_copy_SparseCSR_int64_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.381s)
2023-01-11T21:58:19.9959320Z   test_select_copy_SparseCSR_int64_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.384s)
2023-01-11T21:58:19.9959476Z   test_select_copy_SparseCSR_int64_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.384s)
2023-01-11T21:58:19.9959673Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:19.9959865Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9960095Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:19.9960295Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:19.9960489Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:19.9960706Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9960889Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9961079Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9961258Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9961443Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:19.9961633Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9961818Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9962011Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9962198Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9962391Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:19.9962582Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:19.9962769Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9962947Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:19.9963128Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9963314Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9963642Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9963824Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9964014Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9964195Z   test_sparse_compressed_constructor_____from_list_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9964386Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9964573Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9964766Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9964949Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9965138Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9965398Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9965583Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9965768Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9965987Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9966167Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:19.9966352Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9966536Z   test_sparse_compressed_constructor_____from_list_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9966727Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9966902Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9967094Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9967290Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9967477Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9967664Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9967849Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9968035Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9968215Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9968396Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:19.9968583Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9968758Z   test_sparse_compressed_constructor_____from_list_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9968948Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9969138Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9969333Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.098s)
2023-01-11T21:58:19.9969526Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.102s)
2023-01-11T21:58:19.9969715Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9969901Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9970087Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9970273Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9970489Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9970667Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9970855Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9971070Z   test_sparse_compressed_constructor_____from_tensor_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9971262Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9971450Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9971647Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.097s)
2023-01-11T21:58:19.9971838Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.102s)
2023-01-11T21:58:19.9972026Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9972214Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9972397Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9972576Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9972761Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9972946Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.082s)
2023-01-11T21:58:19.9973131Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9973312Z   test_sparse_compressed_constructor_____from_tensor_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9973505Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9973691Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9973885Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9974079Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.096s)
2023-01-11T21:58:19.9974267Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9974447Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9974631Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:19.9974816Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9974999Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9975181Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:19.9975397Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9975581Z   test_sparse_compressed_constructor_____from_tensor_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9975769Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9976011Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:19.9976199Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9976391Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.096s)
2023-01-11T21:58:19.9976579Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9976768Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9976953Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:19.9977137Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9977322Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:19.9977504Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:19.9977688Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9977870Z   test_sparse_compressed_constructor_____from_tensor_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9978062Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9978254Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9978455Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:19.9978655Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:19.9978849Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9979042Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9979237Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9979429Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9979620Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9979813Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:19.9980003Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9980186Z   test_sparse_compressed_constructor___factory_from_list_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9980413Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9980602Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9980799Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:19.9980994Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:19.9981210Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9981402Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9981592Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9981782Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9981972Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9982156Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9982348Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9982535Z   test_sparse_compressed_constructor___factory_from_list_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9982728Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9982920Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9983116Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.045s)
2023-01-11T21:58:19.9983311Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9983502Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9983694Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9983886Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9984070Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9984261Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9984451Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:19.9984638Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9984828Z   test_sparse_compressed_constructor___factory_from_list_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9985021Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9985209Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9985432Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:19.9985628Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:19.9985820Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:19.9986034Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9986226Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9986413Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9986601Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9986789Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:19.9986978Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9987164Z   test_sparse_compressed_constructor___factory_from_list_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:19.9987362Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9987556Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9987754Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.097s)
2023-01-11T21:58:19.9987950Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.101s)
2023-01-11T21:58:19.9988144Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9988334Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9988521Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9988710Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9988903Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9989094Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.082s)
2023-01-11T21:58:19.9989284Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9989473Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9989670Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9989859Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9990059Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.097s)
2023-01-11T21:58:19.9990255Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.102s)
2023-01-11T21:58:19.9990474Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9990665Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.093s)
2023-01-11T21:58:19.9990855Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:19.9991080Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9991276Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:19.9991475Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.082s)
2023-01-11T21:58:19.9991673Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9991857Z   test_sparse_compressed_constructor___factory_from_tensor_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.083s)
2023-01-11T21:58:19.9992062Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9992263Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9992470Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9992671Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.095s)
2023-01-11T21:58:19.9992870Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9993067Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9993261Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:19.9993459Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9993660Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9993859Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:19.9994109Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:19.9994313Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9994519Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9994718Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9994932Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.092s)
2023-01-11T21:58:19.9995138Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.095s)
2023-01-11T21:58:19.9995339Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9995569Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:19.9995765Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:19.9995963Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9996149Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9996370Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:19.9996569Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:19.9996765Z   test_sparse_compressed_constructor___factory_from_tensor_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:19.9997034Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9997255Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:19.9997523Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9997753Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:19.9998013Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9998237Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:19.9998497Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9998752Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9998998Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9999214Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:19.9999471Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9999733Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:19.9999994Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0000216Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:20.0000481Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0000733Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:20.0000994Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0001216Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:20.0001498Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0001754Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0002010Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0002216Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:20.0002473Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0002733Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0002995Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0003216Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:20.0003584Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0003810Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:20.0004072Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0004295Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:20.0004556Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0004810Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0005066Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0005288Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:20.0005531Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0005830Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0006091Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0006310Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:20.0006609Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0006831Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:20.0007093Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0007315Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:20.0007574Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0007831Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0008086Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0008308Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:20.0008562Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0008802Z   test_sparse_compressed_constructor_shape_and_device_inference___from_list_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0009028Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0009250Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0009477Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:20.0009705Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.095s)
2023-01-11T21:58:20.0009928Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:20.0010153Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:20.0010373Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0010593Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0010848Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0011061Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0011267Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0011507Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0011730Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0011949Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0012175Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:20.0012400Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.095s)
2023-01-11T21:58:20.0012620Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0012840Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0013060Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.085s)
2023-01-11T21:58:20.0013283Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0013501Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0013713Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0013918Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0014132Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0014353Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0014573Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0014799Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0015023Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:20.0015245Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0015467Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0015686Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:20.0015933Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0016148Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0016345Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.072s)
2023-01-11T21:58:20.0016589Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0016810Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0017033Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0017252Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0017475Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.085s)
2023-01-11T21:58:20.0017702Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.089s)
2023-01-11T21:58:20.0017924Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0018145Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0018365Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:20.0018586Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0018790Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0019007Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.072s)
2023-01-11T21:58:20.0019222Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0019433Z   test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0019703Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0019927Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:20.0020199Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0020433Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:20.0020702Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0020953Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:20.0021223Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0021486Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0021778Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0021990Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:20.0022258Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0022520Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0022795Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0023020Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.042s)
2023-01-11T21:58:20.0023288Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0023517Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:20.0023782Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0024012Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.046s)
2023-01-11T21:58:20.0024280Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0024548Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0024811Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0025036Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:20.0025290Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0025552Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0025846Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0026071Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:20.0026339Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0026590Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:20.0026856Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0027085Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:20.0027356Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0027618Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0027881Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0028107Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:20.0028372Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0028635Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0028889Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0029116Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:20.0029385Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0029618Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.047s)
2023-01-11T21:58:20.0029885Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0030111Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:20.0030378Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0030638Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0030926Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0031152Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:20.0031412Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0031700Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... skip: dtype not supported with list values (0.003s)
2023-01-11T21:58:20.0031930Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0032150Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0032383Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.091s)
2023-01-11T21:58:20.0032616Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.095s)
2023-01-11T21:58:20.0032847Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:20.0033075Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:20.0033307Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.084s)
2023-01-11T21:58:20.0033534Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0033762Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0034094Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0034326Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0034556Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0034787Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0035003Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0035237Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.090s)
2023-01-11T21:58:20.0035475Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.096s)
2023-01-11T21:58:20.0035708Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.087s)
2023-01-11T21:58:20.0035969Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.086s)
2023-01-11T21:58:20.0036197Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.085s)
2023-01-11T21:58:20.0036424Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0036676Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0036898Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0037122Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0037350Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0037567Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0037793Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0038028Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.085s)
2023-01-11T21:58:20.0038261Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.089s)
2023-01-11T21:58:20.0038491Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0038722Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0038947Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:20.0039176Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0039401Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0039625Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.072s)
2023-01-11T21:58:20.0039853Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0040076Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0040293Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0040521Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0040757Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.085s)
2023-01-11T21:58:20.0041015Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.089s)
2023-01-11T21:58:20.0041245Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0041472Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.081s)
2023-01-11T21:58:20.0041722Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:20.0041948Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0042173Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0042398Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.072s)
2023-01-11T21:58:20.0042622Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.074s)
2023-01-11T21:58:20.0042850Z   test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.073s)
2023-01-11T21:58:20.0043000Z   test_to_dtype_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0043157Z   test_to_dtype_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0043324Z   test_to_dtype_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0043594Z   test_to_dtype_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0043758Z   test_to_dtype_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:20.0043915Z   test_to_dtype_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:20.0044071Z   test_to_dtype_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0044225Z   test_to_dtype_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0044370Z   test_to_dtype_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0044523Z   test_to_dtype_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0044675Z   test_to_dtype_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0044826Z   test_to_dtype_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0044985Z   test_to_dtype_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0045143Z   test_to_dtype_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0045304Z   test_to_dtype_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.078s)
2023-01-11T21:58:20.0045464Z   test_to_dtype_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:20.0045621Z   test_to_dtype_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.080s)
2023-01-11T21:58:20.0045764Z   test_to_dtype_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.079s)
2023-01-11T21:58:20.0045920Z   test_to_dtype_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0046074Z   test_to_dtype_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0046228Z   test_to_dtype_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0046380Z   test_to_dtype_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0046585Z   test_to_dtype_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0046741Z   test_to_dtype_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.077s)
2023-01-11T21:58:20.0046900Z   test_to_dtype_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0047041Z   test_to_dtype_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0047241Z   test_to_dtype_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0047403Z   test_to_dtype_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0047557Z   test_to_dtype_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.055s)
2023-01-11T21:58:20.0047713Z   test_to_dtype_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.054s)
2023-01-11T21:58:20.0047872Z   test_to_dtype_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0048029Z   test_to_dtype_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0048184Z   test_to_dtype_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0048321Z   test_to_dtype_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.053s)
2023-01-11T21:58:20.0048477Z   test_to_dtype_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.052s)
2023-01-11T21:58:20.0048631Z   test_to_dtype_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.052s)
2023-01-11T21:58:20.0048788Z   test_to_dtype_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0048942Z   test_to_dtype_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0049103Z   test_to_dtype_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0049263Z   test_to_dtype_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:20.0049417Z   test_to_dtype_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.051s)
2023-01-11T21:58:20.0049570Z   test_to_dtype_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.050s)
2023-01-11T21:58:20.0049713Z   test_to_dtype_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0049869Z   test_to_dtype_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0050020Z   test_to_dtype_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0050170Z   test_to_dtype_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.048s)
2023-01-11T21:58:20.0050323Z   test_to_dtype_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0050475Z   test_to_dtype_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.049s)
2023-01-11T21:58:20.0050638Z   test_validate_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0050791Z   test_validate_SparseBSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0050942Z   test_validate_SparseBSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.041s)
2023-01-11T21:58:20.0051103Z   test_validate_SparseBSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:20.0051261Z   test_validate_SparseBSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0051416Z   test_validate_SparseBSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0051574Z   test_validate_SparseBSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:20.0051726Z   test_validate_SparseBSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0051879Z   test_validate_SparseBSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0052056Z   test_validate_SparseBSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.036s)
2023-01-11T21:58:20.0052210Z   test_validate_SparseBSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0052352Z   test_validate_SparseBSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0052512Z   test_validate_SparseBSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0052690Z   test_validate_SparseBSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0052853Z   test_validate_SparseBSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0053012Z   test_validate_SparseBSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.043s)
2023-01-11T21:58:20.0053168Z   test_validate_SparseBSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0053325Z   test_validate_SparseBSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.040s)
2023-01-11T21:58:20.0053484Z   test_validate_SparseBSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.039s)
2023-01-11T21:58:20.0053622Z   test_validate_SparseBSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0053776Z   test_validate_SparseBSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0053929Z   test_validate_SparseBSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0054082Z   test_validate_SparseBSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0054236Z   test_validate_SparseBSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.037s)
2023-01-11T21:58:20.0054393Z   test_validate_SparseCSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0054547Z   test_validate_SparseCSC_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0054709Z   test_validate_SparseCSC_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.036s)
2023-01-11T21:58:20.0054869Z   test_validate_SparseCSC_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:20.0055012Z   test_validate_SparseCSC_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0055166Z   test_validate_SparseCSC_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0055321Z   test_validate_SparseCSC_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0055474Z   test_validate_SparseCSC_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0055626Z   test_validate_SparseCSC_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0055777Z   test_validate_SparseCSC_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.032s)
2023-01-11T21:58:20.0055930Z   test_validate_SparseCSC_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0056086Z   test_validate_SparseCSC_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0056231Z   test_validate_SparseCSR_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0056383Z   test_validate_SparseCSR_cpu_bool (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0056543Z   test_validate_SparseCSR_cpu_complex128 (__main__.TestSparseCompressedCPU) ... ok (0.036s)
2023-01-11T21:58:20.0056704Z   test_validate_SparseCSR_cpu_complex64 (__main__.TestSparseCompressedCPU) ... ok (0.038s)
2023-01-11T21:58:20.0056858Z   test_validate_SparseCSR_cpu_float16 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0057019Z   test_validate_SparseCSR_cpu_float32 (__main__.TestSparseCompressedCPU) ... ok (0.036s)
2023-01-11T21:58:20.0057172Z   test_validate_SparseCSR_cpu_float64 (__main__.TestSparseCompressedCPU) ... ok (0.035s)
2023-01-11T21:58:20.0057375Z   test_validate_SparseCSR_cpu_int16 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0057515Z   test_validate_SparseCSR_cpu_int32 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0057666Z   test_validate_SparseCSR_cpu_int64 (__main__.TestSparseCompressedCPU) ... ok (0.032s)
2023-01-11T21:58:20.0057819Z   test_validate_SparseCSR_cpu_int8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0057971Z   test_validate_SparseCSR_cpu_uint8 (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2023-01-11T21:58:20.0058005Z 
2023-01-11T21:58:20.0058287Z ----------------------------------------------------------------------
2023-01-11T21:58:20.0058366Z Ran 4351 tests in 269.191s
2023-01-11T21:58:20.0058372Z 
2023-01-11T21:58:20.0058446Z OK (skipped=475)
2023-01-11T21:58:20.0058450Z 
2023-01-11T21:58:20.0058534Z Generating XML reports...
2023-01-11T21:58:20.0058847Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCPU-20230111215349.xml
2023-01-11T21:58:20.0059144Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20230111215349.xml
2023-01-11T21:58:20.0059458Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCPU-20230111215349.xml
2023-01-11T21:58:20.0059463Z 
2023-01-11T21:58:20.0059851Z ##[endgroup]
2023-01-11T21:58:20.0060132Z FINISHED PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_6or6_av5)
2023-01-11T21:58:20.0060140Z 
2023-01-11T21:58:20.0060289Z Running test_nn ... [2023-01-11 21:58:19.900185]
2023-01-11T21:58:20.0060611Z Executing ['/opt/conda/bin/python', '-bb', 'test_nn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 21:58:19.900580]
2023-01-11T22:00:13.0684140Z 
2023-01-11T22:00:13.0684694Z Expand the folded group to see the log file of test_nn
2023-01-11T22:00:13.0685584Z ##[group]PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_bfyqhif1)
2023-01-11T22:00:13.0688664Z Test results will be stored in test-reports/python-unittest/test_nn
2023-01-11T22:00:13.0688945Z 
2023-01-11T22:00:13.0689068Z Running tests...
2023-01-11T22:00:13.0689442Z ----------------------------------------------------------------------
2023-01-11T22:00:13.0691392Z   test_add_relu (__main__.TestAddRelu) ... ok (0.002s)
2023-01-11T22:00:13.0692047Z   test_add_relu_broadcasting (__main__.TestAddRelu) ... ok (0.001s)
2023-01-11T22:00:13.0692557Z   test_constant_pad_nd (__main__.TestConstantPadNd) ... ok (0.001s)
2023-01-11T22:00:13.0692987Z   test_preserves_memory_format (__main__.TestConstantPadNd) ... ok (0.001s)
2023-01-11T22:00:13.0693449Z   test_pickle_softsign (__main__.TestFunctionalPickle) ... ok (0.000s)
2023-01-11T22:00:13.0697392Z   test_fuse_module_eval_numerics (__main__.TestFusionEval) ... ok (0.284s)
2023-01-11T22:00:13.0697828Z   test_fuse_conv_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s)
2023-01-11T22:00:13.0698271Z   test_fuse_linear_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s)
2023-01-11T22:00:13.0699061Z   test_AdaptiveAvgPool1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0699705Z ok (0.011s)
2023-01-11T22:00:13.0699975Z   test_AdaptiveAvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0700659Z   test_AdaptiveAvgPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0701262Z ok (0.010s)
2023-01-11T22:00:13.0701674Z   test_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0702783Z   test_AdaptiveAvgPool1d_one_output (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0707712Z ok (0.008s)
2023-01-11T22:00:13.0708219Z   test_AdaptiveAvgPool1d_one_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0709169Z   test_AdaptiveAvgPool2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0709762Z ok (0.009s)
2023-01-11T22:00:13.0710118Z   test_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0710657Z   test_AdaptiveAvgPool2d_single (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0711240Z ok (0.009s)
2023-01-11T22:00:13.0711881Z   test_AdaptiveAvgPool2d_single_1x1output (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0712482Z ok (0.007s)
2023-01-11T22:00:13.0712875Z   test_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0713442Z   test_AdaptiveAvgPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0714267Z   test_AdaptiveAvgPool2d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0714795Z ok (0.009s)
2023-01-11T22:00:13.0715133Z   test_AdaptiveAvgPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0715835Z   test_AdaptiveAvgPool2d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0716455Z ok (0.009s)
2023-01-11T22:00:13.0716832Z   test_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0717330Z   test_AdaptiveAvgPool3d_last_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0717774Z ok (0.007s)
2023-01-11T22:00:13.0718037Z   test_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0718784Z   test_AdaptiveAvgPool3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0719315Z ok (0.010s)
2023-01-11T22:00:13.0719582Z   test_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0720351Z   test_AdaptiveAvgPool3d_single (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0720923Z ok (0.009s)
2023-01-11T22:00:13.0721341Z   test_AdaptiveAvgPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0722275Z   test_AdaptiveAvgPool3d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0724164Z ok (0.009s)
2023-01-11T22:00:13.0724633Z   test_AdaptiveAvgPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0725369Z   test_AdaptiveAvgPool3d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0726156Z ok (0.009s)
2023-01-11T22:00:13.0726423Z   test_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0726911Z   test_AdaptiveLogSoftmax (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0727300Z ok (0.076s)
2023-01-11T22:00:13.0727555Z   test_AdaptiveLogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0728047Z   test_AdaptiveMaxPool1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0728422Z ok (0.009s)
2023-01-11T22:00:13.0728675Z   test_AdaptiveMaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0729176Z   test_AdaptiveMaxPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0729571Z ok (0.009s)
2023-01-11T22:00:13.0729824Z   test_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0730333Z   test_AdaptiveMaxPool2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0730724Z ok (0.009s)
2023-01-11T22:00:13.0730991Z   test_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0731480Z   test_AdaptiveMaxPool2d_single (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0731868Z ok (0.009s)
2023-01-11T22:00:13.0732131Z   test_AdaptiveMaxPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0732630Z   test_AdaptiveMaxPool2d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0733003Z ok (0.009s)
2023-01-11T22:00:13.0733259Z   test_AdaptiveMaxPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0736048Z   test_AdaptiveMaxPool2d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0736801Z ok (0.009s)
2023-01-11T22:00:13.0737259Z   test_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0738075Z   test_AdaptiveMaxPool3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0738482Z ok (0.010s)
2023-01-11T22:00:13.0738746Z   test_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0739421Z   test_AdaptiveMaxPool3d_single (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0740154Z ok (0.009s)
2023-01-11T22:00:13.0740630Z   test_AdaptiveMaxPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0741501Z   test_AdaptiveMaxPool3d_single_nonatomic (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0742215Z ok (0.009s)
2023-01-11T22:00:13.0742710Z   test_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0743666Z   test_AdaptiveMaxPool3d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0744391Z ok (0.009s)
2023-01-11T22:00:13.0744829Z   test_AdaptiveMaxPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0745561Z   test_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0745959Z ok (0.009s)
2023-01-11T22:00:13.0746227Z   test_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0746726Z   test_AdaptiveMaxPool3d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0747145Z ok (0.009s)
2023-01-11T22:00:13.0747407Z   test_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0747890Z   test_AvgPool1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0748255Z ok (0.009s)
2023-01-11T22:00:13.0748476Z   test_AvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0748953Z   test_AvgPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0749405Z ok (0.010s)
2023-01-11T22:00:13.0749693Z   test_AvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0750176Z   test_AvgPool1d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0750606Z ok (0.009s)
2023-01-11T22:00:13.0750848Z   test_AvgPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0751402Z   test_AvgPool1d_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0751783Z ok (0.009s)
2023-01-11T22:00:13.0752032Z   test_AvgPool1d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0752557Z   test_AvgPool2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0752997Z ok (0.009s)
2023-01-11T22:00:13.0753230Z   test_AvgPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0753746Z   test_AvgPool2d_divisor (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0754185Z ok (0.009s)
2023-01-11T22:00:13.0754418Z   test_AvgPool2d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0754906Z   test_AvgPool2d_divisor_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0755292Z ok (0.009s)
2023-01-11T22:00:13.0755547Z   test_AvgPool2d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0756027Z   test_AvgPool2d_divisor_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0756413Z ok (0.009s)
2023-01-11T22:00:13.0756671Z   test_AvgPool2d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0756998Z   test_AvgPool2d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0757334Z   test_AvgPool2d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0757675Z   test_AvgPool2d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0758012Z   test_AvgPool2d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0758328Z   test_AvgPool2d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0758652Z   test_AvgPool2d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0759149Z   test_AvgPool2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0759532Z ok (0.009s)
2023-01-11T22:00:13.0759770Z   test_AvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0760246Z   test_AvgPool2d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0760623Z ok (0.009s)
2023-01-11T22:00:13.0760866Z   test_AvgPool2d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0761330Z   test_AvgPool2d_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0761708Z ok (0.009s)
2023-01-11T22:00:13.0761954Z   test_AvgPool2d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0762462Z   test_AvgPool3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0762816Z ok (0.009s)
2023-01-11T22:00:13.0763052Z   test_AvgPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0763722Z   test_AvgPool3d_divisor (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0764103Z ok (0.009s)
2023-01-11T22:00:13.0764336Z   test_AvgPool3d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0764818Z   test_AvgPool3d_divisor_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0765201Z ok (0.009s)
2023-01-11T22:00:13.0765729Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0766355Z ok (0.009s)
2023-01-11T22:00:13.0766787Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0767382Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0768051Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0768723Z   test_AvgPool3d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0769648Z   test_AvgPool3d_divisor_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0770224Z ok (0.009s)
2023-01-11T22:00:13.0770471Z   test_AvgPool3d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0770989Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0771385Z ok (0.009s)
2023-01-11T22:00:13.0771661Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0772016Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0772399Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0772943Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0773346Z ok (0.009s)
2023-01-11T22:00:13.0773611Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0773978Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0774359Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0774977Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0775383Z ok (0.009s)
2023-01-11T22:00:13.0775648Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0776065Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0776454Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0776802Z   test_AvgPool3d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0777150Z   test_AvgPool3d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0777482Z   test_AvgPool3d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0777817Z   test_AvgPool3d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0778173Z   test_AvgPool3d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0778623Z   test_AvgPool3d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0779348Z   test_AvgPool3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0779867Z ok (0.009s)
2023-01-11T22:00:13.0780210Z   test_AvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0780857Z   test_AvgPool3d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0781370Z ok (0.009s)
2023-01-11T22:00:13.0781931Z   test_AvgPool3d_stride1_pad0_gpu_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0782460Z ok (0.009s)
2023-01-11T22:00:13.0782799Z   test_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0783258Z   test_AvgPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0783911Z   test_AvgPool3d_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0784426Z ok (0.009s)
2023-01-11T22:00:13.0784750Z   test_AvgPool3d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0785438Z   test_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0785980Z ok (0.009s)
2023-01-11T22:00:13.0786346Z   test_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0787119Z   test_AvgPool3d_stride_pad_gpu_general_output (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0787745Z ok (0.009s)
2023-01-11T22:00:13.0788156Z   test_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0789025Z   test_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0789628Z ok (0.009s)
2023-01-11T22:00:13.0789998Z   test_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0790399Z   test_BCELoss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.0790764Z   test_BCELoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0791200Z   test_BCELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0791633Z   test_BCELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0792076Z   test_BCELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0792488Z   test_BCELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0792956Z   test_BCELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0793529Z   test_BCELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0794145Z   test_BCELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0794604Z   test_BCELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0795074Z   test_BCELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0795627Z   test_BCELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0796181Z   test_BCELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0796711Z   test_BCELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0797245Z   test_BCELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0797835Z   test_BCELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0798378Z   test_BCELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0799141Z   test_BCELoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0799786Z ok (0.008s)
2023-01-11T22:00:13.0800185Z   test_BCELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0800911Z   test_BCELoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0801437Z ok (0.005s)
2023-01-11T22:00:13.0801785Z   test_BCELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0802179Z   test_BCELoss_scalar_weights (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.0802624Z   test_BCELoss_scalar_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0803100Z   test_BCELoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0803864Z   test_BCELoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0804426Z   test_BCELoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0804935Z   test_BCELoss_weights (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.0805337Z   test_BCELoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0805889Z   test_BCELoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0806323Z   test_BCELoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0806805Z   test_BCELoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0807551Z   test_BCELoss_weights_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0808181Z ok (0.008s)
2023-01-11T22:00:13.0808571Z   test_BCELoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0809294Z   test_BCELoss_weights_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0809834Z ok (0.005s)
2023-01-11T22:00:13.0810172Z   test_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0810591Z   test_BCEWithLogitsLoss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.0811015Z   test_BCEWithLogitsLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0811500Z   test_BCEWithLogitsLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0811962Z   test_BCEWithLogitsLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0812716Z   test_BCEWithLogitsLoss_legacy_enum (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0813880Z /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2023-01-11T22:00:13.0814440Z   warnings.warn(warning.format(ret))
2023-01-11T22:00:13.0815206Z /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2023-01-11T22:00:13.0815782Z   warnings.warn(warning.format(ret))
2023-01-11T22:00:13.0816099Z ok (0.006s)
2023-01-11T22:00:13.0816517Z   test_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0817125Z   test_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0817717Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0818427Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0819117Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0819650Z   test_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0820211Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0820835Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0821544Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0822109Z   test_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0822686Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0823307Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0824046Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0824975Z   test_BCEWithLogitsLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0825633Z ok (0.006s)
2023-01-11T22:00:13.0826101Z   test_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0826970Z   test_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0827656Z ok (0.003s)
2023-01-11T22:00:13.0828147Z   test_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0828723Z   test_BCEWithLogitsLoss_scalar_weights (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.0829304Z   test_BCEWithLogitsLoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0829979Z   test_BCEWithLogitsLoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0830649Z   test_BCEWithLogitsLoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0831232Z   test_BCEWithLogitsLoss_weights (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.0831791Z   test_BCEWithLogitsLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0832445Z   test_BCEWithLogitsLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0833098Z   test_BCEWithLogitsLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0834067Z   test_BatchNorm1d_3d_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0834773Z ok (0.021s)
2023-01-11T22:00:13.0835192Z   test_BatchNorm1d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0836054Z   test_BatchNorm1d_3d_input_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0836706Z ok (0.018s)
2023-01-11T22:00:13.0839070Z   test_BatchNorm1d_3d_input_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0839941Z   test_BatchNorm1d_3d_input_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0840707Z ok (0.012s)
2023-01-11T22:00:13.0841185Z   test_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0842223Z   test_BatchNorm1d_3d_input_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0842974Z ok (0.010s)
2023-01-11T22:00:13.0843537Z   test_BatchNorm1d_3d_input_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0844431Z   test_BatchNorm1d_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0845189Z ok (0.023s)
2023-01-11T22:00:13.0845592Z   test_BatchNorm1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0846366Z   test_BatchNorm1d_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0847056Z ok (0.018s)
2023-01-11T22:00:13.0847454Z   test_BatchNorm1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0848280Z   test_BatchNorm1d_affine_simple_average (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0848935Z ok (0.024s)
2023-01-11T22:00:13.0849358Z   test_BatchNorm1d_affine_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0850206Z   test_BatchNorm1d_affine_simple_average_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0850846Z ok (0.019s)
2023-01-11T22:00:13.0851269Z   test_BatchNorm1d_affine_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0852079Z   test_BatchNorm1d_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0852702Z ok (0.014s)
2023-01-11T22:00:13.0853105Z   test_BatchNorm1d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0853922Z   test_BatchNorm1d_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0854526Z ok (0.010s)
2023-01-11T22:00:13.0854955Z   test_BatchNorm1d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0855782Z   test_BatchNorm1d_not_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0856412Z ok (0.023s)
2023-01-11T22:00:13.0856819Z   test_BatchNorm1d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0857646Z   test_BatchNorm1d_not_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0858293Z ok (0.023s)
2023-01-11T22:00:13.0858726Z   test_BatchNorm1d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0859609Z   test_BatchNorm1d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0860240Z ok (0.007s)
2023-01-11T22:00:13.0860645Z   test_BatchNorm1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0861450Z   test_BatchNorm1d_zero_batch_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0862083Z ok (0.007s)
2023-01-11T22:00:13.0862509Z   test_BatchNorm1d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0863265Z   test_BatchNorm2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0863879Z ok (0.024s)
2023-01-11T22:00:13.0864515Z   test_BatchNorm2d_2d_simple_average (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0865147Z ok (0.025s)
2023-01-11T22:00:13.0866016Z   test_BatchNorm2d_2d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0866828Z   test_BatchNorm2d_2d_simple_average_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0867466Z ok (0.020s)
2023-01-11T22:00:13.0867870Z   test_BatchNorm2d_2d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0868427Z   test_BatchNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0869180Z   test_BatchNorm2d_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0869786Z ok (0.019s)
2023-01-11T22:00:13.0870162Z   test_BatchNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0871021Z   test_BatchNorm2d_momentum (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0871725Z ok (0.024s)
2023-01-11T22:00:13.0872164Z   test_BatchNorm2d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0874753Z   test_BatchNorm2d_momentum_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0875763Z ok (0.019s)
2023-01-11T22:00:13.0876230Z   test_BatchNorm2d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0876881Z   test_BatchNorm2d_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0877264Z ok (0.013s)
2023-01-11T22:00:13.0877513Z   test_BatchNorm2d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0878106Z   test_BatchNorm2d_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0878484Z ok (0.010s)
2023-01-11T22:00:13.0878740Z   test_BatchNorm2d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0879341Z   test_BatchNorm2d_not_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0879768Z ok (0.023s)
2023-01-11T22:00:13.0880016Z   test_BatchNorm2d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0880520Z   test_BatchNorm2d_not_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0880950Z ok (0.023s)
2023-01-11T22:00:13.0881273Z   test_BatchNorm2d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0881758Z   test_BatchNorm2d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0882143Z ok (0.007s)
2023-01-11T22:00:13.0882391Z   test_BatchNorm2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0882878Z   test_BatchNorm2d_zero_batch_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0883249Z ok (0.006s)
2023-01-11T22:00:13.0883616Z   test_BatchNorm2d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0884097Z   test_BatchNorm3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0884465Z ok (0.025s)
2023-01-11T22:00:13.0884863Z   test_BatchNorm3d_3d_simple_average (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0885256Z ok (0.025s)
2023-01-11T22:00:13.0885514Z   test_BatchNorm3d_3d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0886017Z   test_BatchNorm3d_3d_simple_average_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0886400Z ok (0.020s)
2023-01-11T22:00:13.0886665Z   test_BatchNorm3d_3d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0887261Z   test_BatchNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0887738Z   test_BatchNorm3d_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0888101Z ok (0.020s)
2023-01-11T22:00:13.0888342Z   test_BatchNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0888883Z   test_BatchNorm3d_momentum (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0889269Z ok (0.025s)
2023-01-11T22:00:13.0889504Z   test_BatchNorm3d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0889993Z   test_BatchNorm3d_momentum_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0890419Z ok (0.020s)
2023-01-11T22:00:13.0890658Z   test_BatchNorm3d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0891144Z   test_BatchNorm3d_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0891522Z ok (0.013s)
2023-01-11T22:00:13.0891836Z   test_BatchNorm3d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0892313Z   test_BatchNorm3d_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0892702Z ok (0.011s)
2023-01-11T22:00:13.0892953Z   test_BatchNorm3d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0893451Z   test_BatchNorm3d_not_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0893825Z ok (0.024s)
2023-01-11T22:00:13.0894086Z   test_BatchNorm3d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0894589Z   test_BatchNorm3d_not_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0894981Z ok (0.024s)
2023-01-11T22:00:13.0895231Z   test_BatchNorm3d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0895729Z   test_BatchNorm3d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0896110Z ok (0.007s)
2023-01-11T22:00:13.0896356Z   test_BatchNorm3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0896836Z   test_BatchNorm3d_zero_batch_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0897215Z ok (0.007s)
2023-01-11T22:00:13.0897469Z   test_BatchNorm3d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0897939Z   test_CELU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0898291Z ok (0.009s)
2023-01-11T22:00:13.0898521Z   test_CELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0898978Z   test_CELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0899384Z ok (0.005s)
2023-01-11T22:00:13.0899616Z   test_CELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0900082Z   test_CELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0900480Z ok (0.006s)
2023-01-11T22:00:13.0900714Z   test_CELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0901002Z   test_CTCLoss_2d_int_target_lengths_intlists (__main__.TestNN) ... ok (0.013s)
2023-01-11T22:00:13.0901340Z   test_CTCLoss_2d_int_target_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0901711Z   test_CTCLoss_2d_int_target_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0902044Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0902409Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0902807Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0903151Z   test_CTCLoss_2d_int_target_lengths_tensors (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0903472Z   test_CTCLoss_2d_int_target_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0903839Z   test_CTCLoss_2d_int_target_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0904182Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0904547Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0904928Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0905253Z   test_CTCLoss_2d_lengths_tensors (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0905564Z   test_CTCLoss_2d_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0905913Z   test_CTCLoss_2d_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0906219Z   test_CTCLoss_2d_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0906559Z   test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0906932Z   test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0907268Z   test_CTCLoss_critical_target_len (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.0907562Z   test_CTCLoss_lengthchecks_cpu (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.0907858Z   test_CTCLoss_lengthchecks_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.0908149Z   test_CTCLoss_lengths_intlists (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0908452Z   test_CTCLoss_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0908796Z   test_CTCLoss_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0909115Z   test_CTCLoss_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0909442Z   test_CTCLoss_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0909851Z   test_CTCLoss_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0910172Z   test_CTCLoss_lengths_tensors (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0910478Z   test_CTCLoss_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0910807Z   test_CTCLoss_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0911168Z   test_CTCLoss_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.0911506Z   test_CTCLoss_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0911876Z   test_CTCLoss_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0912199Z   test_CTCLoss_long_targets (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.0912478Z   test_CTCLoss_typechecks (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.0912761Z   test_CTCLoss_zero_infinity (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.0913225Z   test_ConstantPad1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0913609Z ok (0.007s)
2023-01-11T22:00:13.0914081Z   test_ConstantPad1d_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0914464Z ok (0.007s)
2023-01-11T22:00:13.0914702Z   test_ConstantPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0915193Z   test_ConstantPad1d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0915577Z ok (0.013s)
2023-01-11T22:00:13.0915830Z   test_ConstantPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0916143Z   test_ConstantPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0916618Z   test_ConstantPad2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0916994Z ok (0.008s)
2023-01-11T22:00:13.0917399Z   test_ConstantPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0917772Z ok (0.014s)
2023-01-11T22:00:13.0918026Z   test_ConstantPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0918348Z   test_ConstantPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0918833Z   test_ConstantPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0919207Z ok (0.008s)
2023-01-11T22:00:13.0919465Z   test_ConstantPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0919947Z   test_ConstantPad3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0920321Z ok (0.009s)
2023-01-11T22:00:13.0920745Z   test_ConstantPad3d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0921128Z ok (0.017s)
2023-01-11T22:00:13.0921379Z   test_ConstantPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0921722Z   test_ConstantPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0922204Z   test_ConstantPad3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0922589Z ok (0.009s)
2023-01-11T22:00:13.0922845Z   test_ConstantPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0923314Z   test_Conv1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0923807Z ok (0.024s)
2023-01-11T22:00:13.0924217Z   test_Conv1d_circular_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0924605Z ok (0.029s)
2023-01-11T22:00:13.0924850Z   test_Conv1d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0925172Z   test_Conv1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0925639Z   test_Conv1d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0926012Z ok (0.026s)
2023-01-11T22:00:13.0926241Z   test_Conv1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0926707Z   test_Conv1d_groups (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0927084Z ok (0.065s)
2023-01-11T22:00:13.0927324Z   test_Conv1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0927773Z   test_Conv1d_pad1 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0928140Z ok (0.024s)
2023-01-11T22:00:13.0928378Z   test_Conv1d_pad1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0928841Z   test_Conv1d_pad1size1 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0929198Z ok (0.021s)
2023-01-11T22:00:13.0929441Z   test_Conv1d_pad1size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0929904Z   test_Conv1d_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0930268Z ok (0.025s)
2023-01-11T22:00:13.0930491Z   test_Conv1d_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0931013Z   test_Conv1d_pad2size1 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0931390Z ok (0.021s)
2023-01-11T22:00:13.0931619Z   test_Conv1d_pad2size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0932087Z   test_Conv1d_pad_same (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0932734Z ok (0.024s)
2023-01-11T22:00:13.0933126Z   test_Conv1d_pad_same2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0934055Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py:310: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:997.)
2023-01-11T22:00:13.0934536Z   self.padding, self.dilation, self.groups)
2023-01-11T22:00:13.0934737Z ok (0.026s)
2023-01-11T22:00:13.0934980Z   test_Conv1d_pad_same2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0935285Z   test_Conv1d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0935763Z   test_Conv1d_pad_same_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0936141Z ok (0.028s)
2023-01-11T22:00:13.0936394Z   test_Conv1d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0936863Z   test_Conv1d_pad_valid (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0937239Z ok (0.023s)
2023-01-11T22:00:13.0937479Z   test_Conv1d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0937965Z   test_Conv1d_reflect_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0938336Z ok (0.025s)
2023-01-11T22:00:13.0938589Z   test_Conv1d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0939083Z   test_Conv1d_replicate_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0939469Z ok (0.024s)
2023-01-11T22:00:13.0939717Z   test_Conv1d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0940194Z   test_Conv1d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0940794Z ok (0.024s)
2023-01-11T22:00:13.0941034Z   test_Conv1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0941488Z   test_Conv1d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0941896Z ok (0.014s)
2023-01-11T22:00:13.0942140Z   test_Conv1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0942620Z   test_Conv1d_zeros_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0943020Z ok (0.022s)
2023-01-11T22:00:13.0943269Z   test_Conv1d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0943738Z   test_Conv2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0944101Z ok (0.024s)
2023-01-11T22:00:13.0944494Z   test_Conv2d_circular_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0944874Z ok (0.036s)
2023-01-11T22:00:13.0945128Z   test_Conv2d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0945435Z   test_Conv2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0945898Z   test_Conv2d_depthwise (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0946273Z ok (0.038s)
2023-01-11T22:00:13.0946517Z   test_Conv2d_depthwise_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0946984Z   test_Conv2d_depthwise_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0947366Z ok (0.044s)
2023-01-11T22:00:13.0947617Z   test_Conv2d_depthwise_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0948306Z   test_Conv2d_depthwise_padded (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0948681Z ok (0.041s)
2023-01-11T22:00:13.0948936Z   test_Conv2d_depthwise_padded_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0949431Z   test_Conv2d_depthwise_strided (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0949810Z ok (0.037s)
2023-01-11T22:00:13.0950048Z   test_Conv2d_depthwise_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0950540Z   test_Conv2d_depthwise_with_multiplier (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0950936Z ok (0.042s)
2023-01-11T22:00:13.0951198Z   test_Conv2d_depthwise_with_multiplier_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0951672Z   test_Conv2d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0952045Z ok (0.027s)
2023-01-11T22:00:13.0952336Z   test_Conv2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0952634Z   test_Conv2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.0952940Z   test_Conv2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0953421Z   test_Conv2d_groups (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0953832Z ok (0.032s)
2023-01-11T22:00:13.0954125Z   test_Conv2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0954604Z   test_Conv2d_groups_thnn (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0954979Z ok (0.032s)
2023-01-11T22:00:13.0955221Z   test_Conv2d_groups_thnn_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0955511Z   test_Conv2d_groups_thnn_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.0956011Z   test_Conv2d_groups_thnn_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0956328Z   test_Conv2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.0956641Z   test_Conv2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0957108Z   test_Conv2d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0957482Z ok (0.019s)
2023-01-11T22:00:13.0957726Z   test_Conv2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0958008Z   test_Conv2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0958320Z   test_Conv2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0958800Z   test_Conv2d_pad_same (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0959176Z ok (0.026s)
2023-01-11T22:00:13.0959406Z   test_Conv2d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0959884Z   test_Conv2d_pad_same_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0960263Z ok (0.027s)
2023-01-11T22:00:13.0960518Z   test_Conv2d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0960978Z   test_Conv2d_pad_valid (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0961353Z ok (0.024s)
2023-01-11T22:00:13.0961597Z   test_Conv2d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0962067Z   test_Conv2d_padding (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0962424Z ok (0.025s)
2023-01-11T22:00:13.0962667Z   test_Conv2d_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0963002Z   test_Conv2d_padding_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0963323Z   test_Conv2d_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0963930Z   test_Conv2d_reflect_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0964373Z ok (0.026s)
2023-01-11T22:00:13.0964633Z   test_Conv2d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0965129Z   test_Conv2d_replicate_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0965505Z ok (0.027s)
2023-01-11T22:00:13.0965768Z   test_Conv2d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0966255Z   test_Conv2d_strided (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0966630Z ok (0.025s)
2023-01-11T22:00:13.0966860Z   test_Conv2d_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0967156Z   test_Conv2d_strided_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.0967474Z   test_Conv2d_strided_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0967761Z   test_Conv2d_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0968057Z   test_Conv2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0968535Z   test_Conv2d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0968912Z ok (0.014s)
2023-01-11T22:00:13.0969143Z   test_Conv2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0969445Z   test_Conv2d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0969766Z   test_Conv2d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0970266Z   test_Conv2d_zeros_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0970635Z ok (0.024s)
2023-01-11T22:00:13.0970888Z   test_Conv2d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0971358Z   test_Conv3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0971710Z ok (0.025s)
2023-01-11T22:00:13.0972109Z   test_Conv3d_1x1x1_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0972480Z ok (0.016s)
2023-01-11T22:00:13.0972727Z   test_Conv3d_1x1x1_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0973014Z   test_Conv3d_1x1x1_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0973373Z   test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0973875Z   test_Conv3d_circular_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0974265Z ok (0.049s)
2023-01-11T22:00:13.0974509Z   test_Conv3d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0974859Z   test_Conv3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0975320Z   test_Conv3d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0975694Z ok (0.023s)
2023-01-11T22:00:13.0975924Z   test_Conv3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0976403Z   test_Conv3d_dilated_strided (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0976782Z ok (0.022s)
2023-01-11T22:00:13.0977034Z   test_Conv3d_dilated_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0977498Z   test_Conv3d_groups (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0977870Z ok (0.025s)
2023-01-11T22:00:13.0978112Z   test_Conv3d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0978397Z   test_Conv3d_groups_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0978712Z   test_Conv3d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0979191Z   test_Conv3d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0979561Z ok (0.019s)
2023-01-11T22:00:13.0979788Z   test_Conv3d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0980078Z   test_Conv3d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0980389Z   test_Conv3d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0980870Z   test_Conv3d_pad_same (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0981230Z ok (0.035s)
2023-01-11T22:00:13.0981473Z   test_Conv3d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0981950Z   test_Conv3d_pad_same_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0982332Z ok (0.030s)
2023-01-11T22:00:13.0982570Z   test_Conv3d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0983045Z   test_Conv3d_pad_valid (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0983420Z ok (0.031s)
2023-01-11T22:00:13.0983649Z   test_Conv3d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0984164Z   test_Conv3d_replicate_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0984551Z ok (0.032s)
2023-01-11T22:00:13.0984810Z   test_Conv3d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0985309Z   test_Conv3d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0985676Z ok (0.028s)
2023-01-11T22:00:13.0985914Z   test_Conv3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0986386Z   test_Conv3d_stride_padding (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0986754Z ok (0.030s)
2023-01-11T22:00:13.0987002Z   test_Conv3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0987313Z   test_Conv3d_stride_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.0987644Z   test_Conv3d_stride_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0987943Z   test_Conv3d_stride_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.0988252Z   test_Conv3d_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0988552Z   test_Conv3d_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0988836Z   test_Conv3d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0989316Z   test_Conv3d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0989693Z ok (0.014s)
2023-01-11T22:00:13.0989936Z   test_Conv3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0990226Z   test_Conv3d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0990546Z   test_Conv3d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0991044Z   test_Conv3d_zeros_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0991425Z ok (0.028s)
2023-01-11T22:00:13.0991665Z   test_Conv3d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0992143Z   test_ConvTranspose1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0992519Z ok (0.021s)
2023-01-11T22:00:13.0992763Z   test_ConvTranspose1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0993238Z   test_ConvTranspose1d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0993617Z ok (0.021s)
2023-01-11T22:00:13.0993869Z   test_ConvTranspose1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0994466Z   test_ConvTranspose1d_groups (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0994979Z ok (0.032s)
2023-01-11T22:00:13.0995234Z   test_ConvTranspose1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0995762Z   test_ConvTranspose1d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0996145Z ok (0.017s)
2023-01-11T22:00:13.0996386Z   test_ConvTranspose1d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0996868Z   test_ConvTranspose2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0997247Z ok (0.024s)
2023-01-11T22:00:13.0997481Z   test_ConvTranspose2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0997962Z   test_ConvTranspose2d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.0998347Z ok (0.019s)
2023-01-11T22:00:13.0998600Z   test_ConvTranspose2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0998910Z   test_ConvTranspose2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.0999250Z   test_ConvTranspose2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.0999760Z   test_ConvTranspose2d_groups (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1000139Z ok (0.025s)
2023-01-11T22:00:13.1000380Z   test_ConvTranspose2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1000702Z   test_ConvTranspose2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1001041Z   test_ConvTranspose2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1001542Z   test_ConvTranspose2d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1001914Z ok (0.019s)
2023-01-11T22:00:13.1002165Z   test_ConvTranspose2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1002483Z   test_ConvTranspose2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1002818Z   test_ConvTranspose2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1003133Z   test_ConvTranspose2d_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1003591Z   test_ConvTranspose2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1004089Z   test_ConvTranspose3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1004457Z ok (0.022s)
2023-01-11T22:00:13.1004705Z   test_ConvTranspose3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1005277Z   test_ConvTranspose3d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1005666Z ok (0.022s)
2023-01-11T22:00:13.1005911Z   test_ConvTranspose3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1006256Z   test_CosineEmbeddingLoss (__main__.TestNN) ... ok (0.020s)
2023-01-11T22:00:13.1006573Z   test_CosineEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1006926Z   test_CosineEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1007262Z   test_CosineEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1007577Z   test_CosineEmbeddingLoss_margin (__main__.TestNN) ... ok (0.020s)
2023-01-11T22:00:13.1007910Z   test_CosineEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1008261Z   test_CosineEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1030598Z   test_CosineEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1030946Z   test_CosineEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.020s)
2023-01-11T22:00:13.1031320Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1031721Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1032111Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1032445Z   test_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1032911Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1033293Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1033675Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1034068Z   test_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1034418Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1034796Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1035160Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1035498Z   test_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1035842Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1036223Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1036586Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1036920Z   test_CosineEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.020s)
2023-01-11T22:00:13.1037263Z   test_CosineEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1037637Z   test_CosineEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1038105Z   test_CosineEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1038423Z   test_CrossEntropyLoss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1038682Z   test_CrossEntropyLoss_2d (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1038979Z   test_CrossEntropyLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1039319Z   test_CrossEntropyLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1039702Z   test_CrossEntropyLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1040010Z   test_CrossEntropyLoss_2d_ignore_index (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1040328Z   test_CrossEntropyLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1040689Z   test_CrossEntropyLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1041054Z   test_CrossEntropyLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1041391Z   test_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1041822Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1042213Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1042603Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1042965Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1043334Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1043886Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1044302Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1044679Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1045052Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1045471Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1045882Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1046248Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1046607Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1047012Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1047416Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1047756Z   test_CrossEntropyLoss_2d_prob_target (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1048075Z   test_CrossEntropyLoss_2d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1048441Z   test_CrossEntropyLoss_2d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1048803Z   test_CrossEntropyLoss_2d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1049188Z   test_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1049542Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1049926Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1050349Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1050695Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1051072Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1051489Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1051899Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1052250Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1052670Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1053068Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1053464Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1053806Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1054162Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1054554Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1054941Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1055269Z   test_CrossEntropyLoss_2d_prob_target_weights (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1055622Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1056003Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1056370Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1056723Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1057096Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1057500Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1057888Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1058233Z   test_CrossEntropyLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1058567Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1058930Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1059285Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1059632Z   test_CrossEntropyLoss_2d_weights (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1059957Z   test_CrossEntropyLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1060314Z   test_CrossEntropyLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1060656Z   test_CrossEntropyLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1061019Z   test_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1061379Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1061768Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1062144Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1062508Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1062885Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1063285Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1063693Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1064063Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1064447Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1064854Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1065261Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1065648Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1066057Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1066493Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1066982Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1067343Z   test_CrossEntropyLoss_3d_prob_target (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1067676Z   test_CrossEntropyLoss_3d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1068028Z   test_CrossEntropyLoss_3d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1068388Z   test_CrossEntropyLoss_3d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1068724Z   test_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1069127Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1069499Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1069878Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1070274Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1070652Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1071051Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1071493Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1071852Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1072210Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1072589Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1072975Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1073310Z   test_CrossEntropyLoss_3d_prob_target_weights (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1073651Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1074092Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1074475Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1074829Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1075201Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1075594Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1075999Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1076338Z   test_CrossEntropyLoss_4d_prob_target (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1076654Z   test_CrossEntropyLoss_4d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1077018Z   test_CrossEntropyLoss_4d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1077380Z   test_CrossEntropyLoss_4d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1077717Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1078066Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1078449Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1078832Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1079174Z   test_CrossEntropyLoss_4d_prob_target_weights (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1079509Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1079893Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1080270Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1080658Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1081021Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1081427Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1081863Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1082230Z   test_CrossEntropyLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1082553Z   test_CrossEntropyLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1082887Z   test_CrossEntropyLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1083184Z   test_CrossEntropyLoss_dim_is_3 (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1083607Z   test_CrossEntropyLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1083959Z   test_CrossEntropyLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1084312Z   test_CrossEntropyLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1084632Z   test_CrossEntropyLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1084963Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1085342Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1085718Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1086045Z   test_CrossEntropyLoss_higher_dim (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1086362Z   test_CrossEntropyLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1086724Z   test_CrossEntropyLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1087075Z   test_CrossEntropyLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1087397Z   test_CrossEntropyLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1087744Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1088126Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1088502Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1088816Z   test_CrossEntropyLoss_weights (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1089133Z   test_CrossEntropyLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1089488Z   test_CrossEntropyLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1089837Z   test_CrossEntropyLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1090324Z   test_CrossMapLRN2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1090717Z ok (0.009s)
2023-01-11T22:00:13.1090966Z   test_CrossMapLRN2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1091481Z   test_ELU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1091835Z ok (0.008s)
2023-01-11T22:00:13.1092066Z   test_ELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1092524Z   test_ELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1092941Z ok (0.005s)
2023-01-11T22:00:13.1093172Z   test_ELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1093645Z   test_ELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1094015Z ok (0.004s)
2023-01-11T22:00:13.1094243Z   test_ELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1094701Z   test_Embedding (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1095075Z ok (0.006s)
2023-01-11T22:00:13.1095489Z   test_EmbeddingBag_discontiguous (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1095863Z ok (0.011s)
2023-01-11T22:00:13.1096124Z   test_EmbeddingBag_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1096614Z   test_EmbeddingBag_max (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1096986Z ok (0.006s)
2023-01-11T22:00:13.1097218Z   test_EmbeddingBag_max_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1097706Z   test_EmbeddingBag_max_padding_idx (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1098101Z ok (0.006s)
2023-01-11T22:00:13.1098356Z   test_EmbeddingBag_max_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1098834Z   test_EmbeddingBag_mean (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1099216Z ok (0.006s)
2023-01-11T22:00:13.1099464Z   test_EmbeddingBag_mean_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1099950Z   test_EmbeddingBag_mean_padding_idx (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1100326Z ok (0.006s)
2023-01-11T22:00:13.1100585Z   test_EmbeddingBag_mean_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1101072Z   test_EmbeddingBag_sparse (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1101450Z ok (0.010s)
2023-01-11T22:00:13.1101717Z   test_EmbeddingBag_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1102199Z   test_EmbeddingBag_sum (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1102578Z ok (0.006s)
2023-01-11T22:00:13.1102821Z   test_EmbeddingBag_sum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1103332Z   test_EmbeddingBag_sum_padding_idx (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1103819Z ok (0.006s)
2023-01-11T22:00:13.1104077Z   test_EmbeddingBag_sum_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1104390Z   test_Embedding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1104872Z   test_Embedding_discontiguous (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1105256Z ok (0.011s)
2023-01-11T22:00:13.1105508Z   test_Embedding_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1105982Z   test_Embedding_sparse (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1106355Z ok (0.009s)
2023-01-11T22:00:13.1106595Z   test_Embedding_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1107059Z   test_Flatten (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1107413Z ok (0.007s)
2023-01-11T22:00:13.1107649Z   test_Flatten_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1108113Z   test_Flatten_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1108490Z ok (0.007s)
2023-01-11T22:00:13.1108725Z   test_Flatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1109189Z   test_Fold (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1109546Z ok (0.006s)
2023-01-11T22:00:13.1109774Z   test_Fold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1110218Z   test_Fold_int_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1110590Z ok (0.006s)
2023-01-11T22:00:13.1110831Z   test_Fold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1111302Z   test_Fold_no_batch_dim_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1111664Z ok (0.006s)
2023-01-11T22:00:13.1111914Z   test_Fold_no_batch_dim_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1112443Z   test_Fold_no_batch_dim_int_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1112827Z ok (0.006s)
2023-01-11T22:00:13.1113065Z   test_Fold_no_batch_dim_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1113589Z   test_FractionalMaxPool2d_ratio (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1114040Z ok (0.009s)
2023-01-11T22:00:13.1114294Z   test_FractionalMaxPool2d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1114806Z   test_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1115208Z ok (0.010s)
2023-01-11T22:00:13.1115480Z   test_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1116011Z   test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1116433Z ok (0.010s)
2023-01-11T22:00:13.1116724Z   test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1117262Z   test_FractionalMaxPool2d_ratio_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1117664Z ok (0.009s)
2023-01-11T22:00:13.1117925Z   test_FractionalMaxPool2d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1118444Z   test_FractionalMaxPool2d_size (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1118831Z ok (0.009s)
2023-01-11T22:00:13.1119076Z   test_FractionalMaxPool2d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1119585Z   test_FractionalMaxPool2d_size_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1119989Z ok (0.010s)
2023-01-11T22:00:13.1120261Z   test_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1120789Z   test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1121207Z ok (0.010s)
2023-01-11T22:00:13.1121497Z   test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1122023Z   test_FractionalMaxPool3d_asymsize (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1122415Z ok (0.011s)
2023-01-11T22:00:13.1122699Z   test_FractionalMaxPool3d_asymsize_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1123204Z   test_FractionalMaxPool3d_ratio (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1123748Z ok (0.009s)
2023-01-11T22:00:13.1123996Z   test_FractionalMaxPool3d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1124509Z   test_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1124905Z ok (0.010s)
2023-01-11T22:00:13.1125180Z   test_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1125706Z   test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1126121Z ok (0.010s)
2023-01-11T22:00:13.1126410Z   test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1126950Z   test_FractionalMaxPool3d_ratio_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1127352Z ok (0.009s)
2023-01-11T22:00:13.1127615Z   test_FractionalMaxPool3d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1128134Z   test_FractionalMaxPool3d_size (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1128523Z ok (0.010s)
2023-01-11T22:00:13.1128769Z   test_FractionalMaxPool3d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1129285Z   test_FractionalMaxPool3d_size_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1129686Z ok (0.011s)
2023-01-11T22:00:13.1129953Z   test_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1130481Z   test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1130889Z ok (0.011s)
2023-01-11T22:00:13.1131177Z   test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1131676Z   test_GELU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1132037Z ok (0.008s)
2023-01-11T22:00:13.1132251Z   test_GELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1132768Z   test_GELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1133216Z ok (0.005s)
2023-01-11T22:00:13.1133453Z   test_GELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1133921Z   test_GELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1134338Z ok (0.005s)
2023-01-11T22:00:13.1134573Z   test_GELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1135016Z   test_GLU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1135377Z ok (0.007s)
2023-01-11T22:00:13.1135602Z   test_GLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1136049Z   test_GLU_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1136400Z ok (0.008s)
2023-01-11T22:00:13.1136632Z   test_GLU_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1137098Z   test_GLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1137466Z ok (0.005s)
2023-01-11T22:00:13.1137694Z   test_GLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1138167Z   test_GroupNorm_1d_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1138541Z ok (0.026s)
2023-01-11T22:00:13.1138930Z   test_GroupNorm_1d_affine_GN (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1139308Z ok (0.023s)
2023-01-11T22:00:13.1139559Z   test_GroupNorm_1d_affine_GN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1140043Z   test_GroupNorm_1d_affine_GN_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1140413Z ok (0.023s)
2023-01-11T22:00:13.1140669Z   test_GroupNorm_1d_affine_GN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1140996Z   test_GroupNorm_1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1141473Z   test_GroupNorm_1d_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1141841Z ok (0.025s)
2023-01-11T22:00:13.1142088Z   test_GroupNorm_1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1142430Z   test_GroupNorm_1d_affine_large_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1142782Z   test_GroupNorm_1d_affine_large_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1143299Z   test_GroupNorm_1d_no_affine_IN (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1143686Z ok (0.012s)
2023-01-11T22:00:13.1143940Z   test_GroupNorm_1d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1144431Z   test_GroupNorm_1d_no_affine_IN_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1144835Z ok (0.012s)
2023-01-11T22:00:13.1145096Z   test_GroupNorm_1d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1145586Z   test_GroupNorm_1d_no_affine_LN (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1145965Z ok (0.011s)
2023-01-11T22:00:13.1146201Z   test_GroupNorm_1d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1146690Z   test_GroupNorm_1d_no_affine_LN_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1147180Z ok (0.011s)
2023-01-11T22:00:13.1147440Z   test_GroupNorm_1d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1147913Z   test_GroupNorm_2d_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1148289Z ok (0.025s)
2023-01-11T22:00:13.1148535Z   test_GroupNorm_2d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1149016Z   test_GroupNorm_2d_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1149383Z ok (0.025s)
2023-01-11T22:00:13.1149635Z   test_GroupNorm_2d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1149975Z   test_GroupNorm_2d_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1150318Z   test_GroupNorm_2d_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1150816Z   test_GroupNorm_2d_no_affine_IN (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1151198Z ok (0.012s)
2023-01-11T22:00:13.1151443Z   test_GroupNorm_2d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1151920Z   test_GroupNorm_2d_no_affine_IN_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1152302Z ok (0.012s)
2023-01-11T22:00:13.1152558Z   test_GroupNorm_2d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1153047Z   test_GroupNorm_2d_no_affine_LN (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1153411Z ok (0.012s)
2023-01-11T22:00:13.1153692Z   test_GroupNorm_2d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1154262Z   test_GroupNorm_2d_no_affine_LN_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1154685Z ok (0.011s)
2023-01-11T22:00:13.1154930Z   test_GroupNorm_2d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1155278Z   test_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1155638Z   test_GroupNorm_2d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1156125Z   test_Hardshrink (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1156486Z ok (0.007s)
2023-01-11T22:00:13.1156724Z   test_Hardshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1157201Z   test_Hardshrink_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1157587Z ok (0.005s)
2023-01-11T22:00:13.1157824Z   test_Hardshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1158126Z   test_Hardshrink_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1158190Z ok (0.004s)
2023-01-11T22:00:13.1158343Z   test_Hardshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1158657Z   test_Hardsigmoid_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1158727Z ok (0.003s)
2023-01-11T22:00:13.1158884Z   test_Hardsigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1159193Z   test_Hardswish_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1159259Z ok (0.004s)
2023-01-11T22:00:13.1159405Z   test_Hardswish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1159699Z   test_Hardtanh (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1159763Z ok (0.007s)
2023-01-11T22:00:13.1159901Z   test_Hardtanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1160211Z   test_Hardtanh_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1160275Z ok (0.005s)
2023-01-11T22:00:13.1160427Z   test_Hardtanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1160759Z   test_Hardtanh_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1160825Z ok (0.005s)
2023-01-11T22:00:13.1160962Z   test_Hardtanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1161083Z   test_HingeEmbeddingLoss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1161249Z   test_HingeEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1161442Z   test_HingeEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1161601Z   test_HingeEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1161728Z   test_HingeEmbeddingLoss_margin (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1161900Z   test_HingeEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1162073Z   test_HingeEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1162231Z   test_HingeEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1162560Z   test_HingeEmbeddingLoss_margin_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1162629Z ok (0.010s)
2023-01-11T22:00:13.1162806Z   test_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1162951Z   test_HingeEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1163138Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1163325Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1163649Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1163791Z   test_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1163973Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1164147Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1164323Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1164462Z   test_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1164647Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1164824Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1164996Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1165134Z   test_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1165315Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1165490Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1165653Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1166028Z   test_HingeEmbeddingLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1166099Z ok (0.006s)
2023-01-11T22:00:13.1166268Z   test_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1166401Z   test_HingeEmbeddingLoss_scalar_margin (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1166581Z   test_HingeEmbeddingLoss_scalar_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1166831Z   test_HingeEmbeddingLoss_scalar_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1167008Z   test_HingeEmbeddingLoss_scalar_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1167159Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1167348Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1167543Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1167732Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.000s)
2023-01-11T22:00:13.1167869Z   test_HingeEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1168049Z   test_HingeEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1168228Z   test_HingeEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1168406Z   test_HingeEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1168510Z   test_HuberLoss (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1168665Z   test_HuberLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1168804Z   test_HuberLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1168951Z   test_HuberLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1169098Z   test_HuberLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1169411Z   test_HuberLoss_delta (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1169481Z ok (0.054s)
2023-01-11T22:00:13.1169625Z   test_HuberLoss_delta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1169749Z   test_HuberLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1169920Z   test_HuberLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1170086Z   test_HuberLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1170238Z   test_HuberLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1170360Z   test_HuberLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1170530Z   test_HuberLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1170696Z   test_HuberLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1170858Z   test_HuberLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1170978Z   test_HuberLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1171183Z   test_HuberLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1171347Z   test_HuberLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1171510Z   test_HuberLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1171619Z   test_HuberLoss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1171813Z   test_HuberLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1171983Z   test_HuberLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1172147Z   test_HuberLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1172306Z   test_HuberLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1172614Z   test_InstanceNorm1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1172679Z ok (0.013s)
2023-01-11T22:00:13.1172826Z   test_InstanceNorm1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1173133Z   test_InstanceNorm1d_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1173188Z ok (0.012s)
2023-01-11T22:00:13.1173340Z   test_InstanceNorm1d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1173656Z   test_InstanceNorm1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1173720Z ok (0.012s)
2023-01-11T22:00:13.1173882Z   test_InstanceNorm1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1174196Z   test_InstanceNorm1d_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1174262Z ok (0.012s)
2023-01-11T22:00:13.1174427Z   test_InstanceNorm1d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1174745Z   test_InstanceNorm1d_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1174812Z ok (0.014s)
2023-01-11T22:00:13.1174969Z   test_InstanceNorm1d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1175294Z   test_InstanceNorm1d_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1175360Z ok (0.012s)
2023-01-11T22:00:13.1175531Z   test_InstanceNorm1d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1175859Z   test_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1175924Z ok (0.013s)
2023-01-11T22:00:13.1176129Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1176462Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1176526Z ok (0.011s)
2023-01-11T22:00:13.1176729Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1177033Z   test_InstanceNorm2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1177096Z ok (0.013s)
2023-01-11T22:00:13.1177242Z   test_InstanceNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1177549Z   test_InstanceNorm2d_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1177612Z ok (0.013s)
2023-01-11T22:00:13.1177762Z   test_InstanceNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1178077Z   test_InstanceNorm2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1178140Z ok (0.013s)
2023-01-11T22:00:13.1178302Z   test_InstanceNorm2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1178611Z   test_InstanceNorm2d_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1178674Z ok (0.013s)
2023-01-11T22:00:13.1178838Z   test_InstanceNorm2d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1179154Z   test_InstanceNorm2d_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1179222Z ok (0.015s)
2023-01-11T22:00:13.1179385Z   test_InstanceNorm2d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1179709Z   test_InstanceNorm2d_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1179773Z ok (0.012s)
2023-01-11T22:00:13.1179943Z   test_InstanceNorm2d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1180270Z   test_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1180326Z ok (0.014s)
2023-01-11T22:00:13.1180502Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1180831Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1180894Z ok (0.012s)
2023-01-11T22:00:13.1181105Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1181409Z   test_InstanceNorm3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1181504Z ok (0.014s)
2023-01-11T22:00:13.1181651Z   test_InstanceNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1181953Z   test_InstanceNorm3d_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1182016Z ok (0.014s)
2023-01-11T22:00:13.1182157Z   test_InstanceNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1182469Z   test_InstanceNorm3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1182532Z ok (0.014s)
2023-01-11T22:00:13.1182697Z   test_InstanceNorm3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1183021Z   test_InstanceNorm3d_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1183085Z ok (0.014s)
2023-01-11T22:00:13.1183250Z   test_InstanceNorm3d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1183567Z   test_InstanceNorm3d_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1183631Z ok (0.015s)
2023-01-11T22:00:13.1183796Z   test_InstanceNorm3d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1184103Z   test_InstanceNorm3d_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1184171Z ok (0.012s)
2023-01-11T22:00:13.1184342Z   test_InstanceNorm3d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1184675Z   test_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1184745Z ok (0.015s)
2023-01-11T22:00:13.1184920Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1185251Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1185316Z ok (0.013s)
2023-01-11T22:00:13.1185494Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1186250Z   test_KLDivLoss (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1186480Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1187072Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1187322Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1187924Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1188142Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1188208Z ok (0.005s)
2023-01-11T22:00:13.1188327Z   test_KLDivLoss_batch_mean (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1188457Z   test_KLDivLoss_batch_mean_log_target (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1188608Z   test_KLDivLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1188757Z   test_KLDivLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1188904Z   test_KLDivLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1189572Z   test_KLDivLoss_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1189779Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1190372Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1190590Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1190656Z ok (0.005s)
2023-01-11T22:00:13.1190823Z   test_KLDivLoss_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1190985Z   test_KLDivLoss_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1191139Z   test_KLDivLoss_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1191269Z   test_KLDivLoss_log_target_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1191446Z   test_KLDivLoss_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1191625Z   test_KLDivLoss_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1191788Z   test_KLDivLoss_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1191913Z   test_KLDivLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1192080Z   test_KLDivLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1192280Z   test_KLDivLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1192448Z   test_KLDivLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1192571Z   test_KLDivLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1192740Z   test_KLDivLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1192935Z   test_KLDivLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1193088Z   test_KLDivLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1193211Z   test_KLDivLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1193375Z   test_KLDivLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1193542Z   test_KLDivLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1193705Z   test_KLDivLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1194096Z   test_KLDivLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1194168Z ok (0.009s)
2023-01-11T22:00:13.1194322Z   test_KLDivLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1194643Z   test_KLDivLoss_no_reduce_log_target (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1194709Z ok (0.010s)
2023-01-11T22:00:13.1194864Z   test_KLDivLoss_no_reduce_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1195175Z   test_KLDivLoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1195244Z ok (0.006s)
2023-01-11T22:00:13.1195404Z   test_KLDivLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1195733Z   test_KLDivLoss_no_reduce_scalar_log_target (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1195797Z ok (0.006s)
2023-01-11T22:00:13.1195972Z   test_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1196648Z   test_KLDivLoss_scalar (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1196871Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1197469Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1197684Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1198311Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1198520Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1198614Z ok (0.004s)
2023-01-11T22:00:13.1198774Z   test_KLDivLoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1198935Z   test_KLDivLoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1199097Z   test_KLDivLoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1199780Z   test_KLDivLoss_scalar_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1199995Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1200595Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1200812Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1200877Z ok (0.005s)
2023-01-11T22:00:13.1201052Z   test_KLDivLoss_scalar_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1201212Z   test_KLDivLoss_scalar_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1201380Z   test_KLDivLoss_scalar_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1201525Z   test_KLDivLoss_scalar_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1201710Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1201892Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1202072Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1202202Z   test_KLDivLoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1202378Z   test_KLDivLoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1202551Z   test_KLDivLoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1202710Z   test_KLDivLoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1202834Z   test_KLDivLoss_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1203001Z   test_KLDivLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1203168Z   test_KLDivLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1203331Z   test_KLDivLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1203803Z   test_KLDivLoss_with_log_target_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1203874Z ok (0.010s)
2023-01-11T22:00:13.1204042Z   test_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1204366Z   test_KLDivLoss_with_target_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1204457Z ok (0.009s)
2023-01-11T22:00:13.1204626Z   test_KLDivLoss_with_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1204727Z   test_L1Loss (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1204879Z   test_L1Loss_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1205031Z   test_L1Loss_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1205175Z   test_L1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1205317Z   test_L1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1205457Z   test_L1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1205565Z   test_L1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1205727Z   test_L1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1205889Z   test_L1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1206049Z   test_L1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1206176Z   test_L1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1206341Z   test_L1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1206504Z   test_L1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1206654Z   test_L1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1206773Z   test_L1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1206935Z   test_L1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1207093Z   test_L1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1207253Z   test_L1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1207561Z   test_L1Loss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1207627Z ok (0.008s)
2023-01-11T22:00:13.1207941Z   test_L1Loss_no_reduce_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1208008Z ok (0.016s)
2023-01-11T22:00:13.1208165Z   test_L1Loss_no_reduce_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1208300Z   test_L1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1208606Z   test_L1Loss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1208724Z ok (0.005s)
2023-01-11T22:00:13.1208881Z   test_L1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1208987Z   test_L1Loss_scalar (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1209138Z   test_L1Loss_scalar_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1209320Z   test_L1Loss_scalar_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1209471Z   test_L1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1209612Z   test_L1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1209761Z   test_L1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1210064Z   test_LPPool1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1210131Z ok (0.016s)
2023-01-11T22:00:13.1210274Z   test_LPPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1210587Z   test_LPPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1210652Z ok (0.016s)
2023-01-11T22:00:13.1210805Z   test_LPPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1211103Z   test_LPPool1d_norm (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1211164Z ok (0.016s)
2023-01-11T22:00:13.1211303Z   test_LPPool1d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1211603Z   test_LPPool2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1211670Z ok (0.016s)
2023-01-11T22:00:13.1211810Z   test_LPPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1212108Z   test_LPPool2d_norm (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1212172Z ok (0.016s)
2023-01-11T22:00:13.1212318Z   test_LPPool2d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1212422Z   test_LSTM_cell (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1212545Z   test_LSTM_cell_forward_hidden_size (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1212660Z   test_LSTM_cell_forward_input_size (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1212978Z   test_LayerNorm_1d_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1213045Z ok (0.020s)
2023-01-11T22:00:13.1213214Z   test_LayerNorm_1d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1213541Z   test_LayerNorm_1d_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1213605Z ok (0.020s)
2023-01-11T22:00:13.1213810Z   test_LayerNorm_1d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1214135Z   test_LayerNorm_1d_empty_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1214252Z ok (0.015s)
2023-01-11T22:00:13.1214417Z   test_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1214748Z   test_LayerNorm_1d_empty_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1214814Z ok (0.015s)
2023-01-11T22:00:13.1214997Z   test_LayerNorm_1d_empty_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1215318Z   test_LayerNorm_1d_no_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1215382Z ok (0.010s)
2023-01-11T22:00:13.1215553Z   test_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1215875Z   test_LayerNorm_1d_no_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1215936Z ok (0.010s)
2023-01-11T22:00:13.1216107Z   test_LayerNorm_1d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1216420Z   test_LayerNorm_3d_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1216475Z ok (0.019s)
2023-01-11T22:00:13.1216637Z   test_LayerNorm_3d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1216961Z   test_LayerNorm_3d_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1217023Z ok (0.020s)
2023-01-11T22:00:13.1217194Z   test_LayerNorm_3d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1217514Z   test_LayerNorm_3d_no_affine_large_feature (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1217573Z ok (0.386s)
2023-01-11T22:00:13.1217741Z   test_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1218067Z   test_LayerNorm_3d_no_affine_large_feature_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1218134Z ok (0.363s)
2023-01-11T22:00:13.1218300Z   test_LayerNorm_3d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1218656Z   test_LayerNorm_3d_no_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1218724Z ok (0.011s)
2023-01-11T22:00:13.1218895Z   test_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.004s)
2023-01-11T22:00:13.1219215Z   test_LayerNorm_3d_no_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1219310Z ok (0.010s)
2023-01-11T22:00:13.1219483Z   test_LayerNorm_3d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1219782Z   test_LeakyReLU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1219848Z ok (0.008s)
2023-01-11T22:00:13.1219980Z   test_LeakyReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1220289Z   test_LeakyReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1220354Z ok (0.005s)
2023-01-11T22:00:13.1220511Z   test_LeakyReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1220817Z   test_LeakyReLU_with_negval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1220881Z ok (0.007s)
2023-01-11T22:00:13.1221037Z   test_LeakyReLU_with_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1221351Z   test_LeakyReLU_with_negval_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1221416Z ok (0.005s)
2023-01-11T22:00:13.1221579Z   test_LeakyReLU_with_negval_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1221883Z   test_LeakyReLU_with_zero_negval (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1221945Z ok (0.008s)
2023-01-11T22:00:13.1222105Z   test_LeakyReLU_with_zero_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1222397Z   test_Linear (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1222460Z ok (0.018s)
2023-01-11T22:00:13.1222597Z   test_Linear_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1222900Z   test_Linear_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1222966Z ok (0.013s)
2023-01-11T22:00:13.1223119Z   test_Linear_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1223450Z   test_Linear_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1223504Z ok (0.014s)
2023-01-11T22:00:13.1223648Z   test_Linear_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1223958Z   test_LocalResponseNorm_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1224050Z ok (0.014s)
2023-01-11T22:00:13.1224213Z   test_LocalResponseNorm_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1224538Z   test_LocalResponseNorm_2d_uneven_pad (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1224603Z ok (0.014s)
2023-01-11T22:00:13.1224773Z   test_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1225097Z   test_LocalResponseNorm_3d_custom_params (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1225149Z ok (0.017s)
2023-01-11T22:00:13.1225322Z   test_LocalResponseNorm_3d_custom_params_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1225620Z   test_LogSigmoid (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1225683Z ok (0.008s)
2023-01-11T22:00:13.1225826Z   test_LogSigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1226135Z   test_LogSigmoid_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1226199Z ok (0.005s)
2023-01-11T22:00:13.1226353Z   test_LogSigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1226657Z   test_LogSigmoid_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1226720Z ok (0.005s)
2023-01-11T22:00:13.1226859Z   test_LogSigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1227157Z   test_LogSoftmax (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1227222Z ok (0.008s)
2023-01-11T22:00:13.1227360Z   test_LogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1227664Z   test_LogSoftmax_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1227731Z ok (0.009s)
2023-01-11T22:00:13.1227889Z   test_LogSoftmax_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1228198Z   test_LogSoftmax_multiparam_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1228263Z ok (0.005s)
2023-01-11T22:00:13.1228448Z   test_LogSoftmax_multiparam_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1228758Z   test_LogSoftmax_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1228825Z ok (0.008s)
2023-01-11T22:00:13.1229011Z   test_LogSoftmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1229114Z   test_MSELoss (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1229263Z   test_MSELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1229408Z   test_MSELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1229554Z   test_MSELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1229675Z   test_MSELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1229828Z   test_MSELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1229991Z   test_MSELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1230152Z   test_MSELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1230271Z   test_MSELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1230436Z   test_MSELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1230598Z   test_MSELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1230759Z   test_MSELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1230879Z   test_MSELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1231031Z   test_MSELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1231189Z   test_MSELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1231352Z   test_MSELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1231662Z   test_MSELoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1231726Z ok (0.008s)
2023-01-11T22:00:13.1231876Z   test_MSELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1232191Z   test_MSELoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1232258Z ok (0.005s)
2023-01-11T22:00:13.1232415Z   test_MSELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1232523Z   test_MSELoss_prec (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1232664Z   test_MSELoss_prec_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1232817Z   test_MSELoss_prec_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1232965Z   test_MSELoss_prec_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1233112Z   test_MSELoss_prec_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1233222Z   test_MSELoss_scalar (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1233407Z   test_MSELoss_scalar_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1233562Z   test_MSELoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1233716Z   test_MSELoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1233856Z   test_MSELoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1234088Z   test_MSELoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1234265Z   test_MSELoss_scalar_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1234434Z   test_MSELoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1234606Z   test_MSELoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1234777Z   test_MSELoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1234893Z   test_MSELoss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1235054Z   test_MSELoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1235209Z   test_MSELoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1235359Z   test_MSELoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1235475Z   test_MarginRankingLoss (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1235635Z   test_MarginRankingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1235795Z   test_MarginRankingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1235949Z   test_MarginRankingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1236077Z   test_MarginRankingLoss_margin (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1236245Z   test_MarginRankingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1236417Z   test_MarginRankingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1236572Z   test_MarginRankingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1236719Z   test_MarginRankingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1236904Z   test_MarginRankingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1237084Z   test_MarginRankingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1237263Z   test_MarginRankingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1237398Z   test_MarginRankingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1237573Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1237750Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1237927Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1238054Z   test_MarginRankingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1238235Z   test_MarginRankingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1238407Z   test_MarginRankingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1238610Z   test_MarginRankingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1238741Z   test_MarginRankingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1238919Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1239091Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1239290Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1239424Z   test_MarginRankingLoss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1239589Z   test_MarginRankingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1239765Z   test_MarginRankingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1239939Z   test_MarginRankingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1240241Z   test_MaxPool1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1240307Z ok (0.009s)
2023-01-11T22:00:13.1240449Z   test_MaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1240835Z   test_MaxPool1d_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1240902Z ok (0.009s)
2023-01-11T22:00:13.1241062Z   test_MaxPool1d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1241371Z   test_MaxPool1d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1241426Z ok (0.009s)
2023-01-11T22:00:13.1241577Z   test_MaxPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1241881Z   test_MaxPool2d_3d_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1241946Z ok (0.009s)
2023-01-11T22:00:13.1242096Z   test_MaxPool2d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1242402Z   test_MaxPool2d_4d_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1242467Z ok (0.009s)
2023-01-11T22:00:13.1242613Z   test_MaxPool2d_4d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1242924Z   test_MaxPool2d_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1242990Z ok (0.009s)
2023-01-11T22:00:13.1243136Z   test_MaxPool2d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1243525Z   test_MaxPool3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1243590Z ok (0.009s)
2023-01-11T22:00:13.1243791Z   test_MaxPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1244109Z   test_MaxPool3d_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1244174Z ok (0.009s)
2023-01-11T22:00:13.1244368Z   test_MaxPool3d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1244668Z   test_MaxPool3d_stride (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1244734Z ok (0.009s)
2023-01-11T22:00:13.1244872Z   test_MaxPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1245187Z   test_MaxPool3d_stride_padding (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1245251Z ok (0.009s)
2023-01-11T22:00:13.1245411Z   test_MaxPool3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1245716Z   test_MaxUnpool1d_net (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1245784Z ok (0.010s)
2023-01-11T22:00:13.1245935Z   test_MaxUnpool1d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1246250Z   test_MaxUnpool1d_net_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1246316Z ok (0.011s)
2023-01-11T22:00:13.1246467Z   test_MaxUnpool1d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1246770Z   test_MaxUnpool2d_net (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1246839Z ok (0.009s)
2023-01-11T22:00:13.1246988Z   test_MaxUnpool2d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1247301Z   test_MaxUnpool2d_net_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1247367Z ok (0.010s)
2023-01-11T22:00:13.1247529Z   test_MaxUnpool2d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1247831Z   test_MaxUnpool3d_net (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1247901Z ok (0.006s)
2023-01-11T22:00:13.1248053Z   test_MaxUnpool3d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1248356Z   test_MaxUnpool3d_net_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1248418Z ok (0.007s)
2023-01-11T22:00:13.1248578Z   test_MaxUnpool3d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1248929Z   test_Mish (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1248998Z ok (0.009s)
2023-01-11T22:00:13.1249133Z   test_Mish_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1249436Z   test_Mish_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1249530Z ok (0.006s)
2023-01-11T22:00:13.1249679Z   test_Mish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1249977Z   test_Mish_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1250031Z ok (0.006s)
2023-01-11T22:00:13.1250174Z   test_Mish_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1250277Z   test_ModuleDict (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1250379Z   test_ModuleList (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1250502Z   test_MultiLabelMarginLoss (__main__.TestNN) ... ok (0.020s)
2023-01-11T22:00:13.1250831Z   test_MultiLabelMarginLoss_0d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1250897Z ok (0.002s)
2023-01-11T22:00:13.1251073Z   test_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1251187Z   test_MultiLabelMarginLoss_1d (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1251362Z   test_MultiLabelMarginLoss_1d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1251535Z   test_MultiLabelMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1251709Z   test_MultiLabelMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1251878Z   test_MultiLabelMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1252204Z   test_MultiLabelMarginLoss_1d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1252267Z ok (0.005s)
2023-01-11T22:00:13.1252438Z   test_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1252583Z   test_MultiLabelMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1252759Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1252945Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1253129Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1253311Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1253480Z   test_MultiLabelMarginLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1253648Z   test_MultiLabelMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1253843Z   test_MultiLabelMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1254007Z   test_MultiLabelMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.000s)
2023-01-11T22:00:13.1254336Z   test_MultiLabelMarginLoss_index_neg (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1254430Z ok (0.005s)
2023-01-11T22:00:13.1254587Z   test_MultiLabelMarginLoss_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1254728Z   test_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1254914Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1255098Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1255282Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1255424Z   test_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1255606Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1255789Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1255971Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1256103Z   test_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1256285Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1256468Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1256648Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1256973Z   test_MultiLabelMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1257041Z ok (0.023s)
2023-01-11T22:00:13.1257214Z   test_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1257353Z   test_MultiLabelMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.020s)
2023-01-11T22:00:13.1257535Z   test_MultiLabelMarginLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1257707Z   test_MultiLabelMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1257887Z   test_MultiLabelMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1258064Z   test_MultiLabelMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1258198Z   test_MultiLabelSoftMarginLoss (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1258377Z   test_MultiLabelSoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1258555Z   test_MultiLabelSoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1258730Z   test_MultiLabelSoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1258882Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1259104Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1259288Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1259476Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1259655Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1259846Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1260029Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1260212Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1260363Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1260546Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1260732Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1260911Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1261244Z   test_MultiLabelSoftMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1261311Z ok (0.008s)
2023-01-11T22:00:13.1261491Z   test_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1261634Z   test_MultiLabelSoftMarginLoss_weights (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1261816Z   test_MultiLabelSoftMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1261998Z   test_MultiLabelSoftMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1262181Z   test_MultiLabelSoftMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1262528Z   test_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1262594Z ok (0.008s)
2023-01-11T22:00:13.1262769Z   test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1262928Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1263127Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1263322Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1263519Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.000s)
2023-01-11T22:00:13.1263632Z   test_MultiMarginLoss (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1263749Z   test_MultiMarginLoss_1d (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1263914Z   test_MultiMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1264070Z   test_MultiMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1264244Z   test_MultiMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1264566Z   test_MultiMarginLoss_1d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1264632Z ok (0.003s)
2023-01-11T22:00:13.1264824Z   test_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1264956Z   test_MultiMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1265134Z   test_MultiMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1265309Z   test_MultiMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1265487Z   test_MultiMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1265646Z   test_MultiMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1265791Z   test_MultiMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1265947Z   test_MultiMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1266072Z   test_MultiMarginLoss_margin (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1266240Z   test_MultiMarginLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1266403Z   test_MultiMarginLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1266565Z   test_MultiMarginLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.000s)
2023-01-11T22:00:13.1266888Z   test_MultiMarginLoss_margin_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1266954Z ok (0.007s)
2023-01-11T22:00:13.1267121Z   test_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1267246Z   test_MultiMarginLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1267430Z   test_MultiMarginLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1267611Z   test_MultiMarginLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1267787Z   test_MultiMarginLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1268106Z   test_MultiMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1268171Z ok (0.007s)
2023-01-11T22:00:13.1268330Z   test_MultiMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1268445Z   test_MultiMarginLoss_p (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1268608Z   test_MultiMarginLoss_p_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1268754Z   test_MultiMarginLoss_p_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1268912Z   test_MultiMarginLoss_p_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1269263Z   test_MultiMarginLoss_p_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1269331Z ok (0.007s)
2023-01-11T22:00:13.1269496Z   test_MultiMarginLoss_p_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1269629Z   test_MultiMarginLoss_p_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1269803Z   test_MultiMarginLoss_p_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1270005Z   test_MultiMarginLoss_p_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1270174Z   test_MultiMarginLoss_p_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1270292Z   test_MultiMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1270467Z   test_MultiMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1270639Z   test_MultiMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1270811Z   test_MultiMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1270931Z   test_MultiMarginLoss_weights (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1271096Z   test_MultiMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1271261Z   test_MultiMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1271421Z   test_MultiMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1271749Z   test_MultiMarginLoss_weights_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1271805Z ok (0.007s)
2023-01-11T22:00:13.1271976Z   test_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1272113Z   test_MultiMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1272295Z   test_MultiMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1272477Z   test_MultiMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1272652Z   test_MultiMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1272752Z   test_NLLLoss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1273061Z   test_NLLLoss2d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1273125Z ok (0.011s)
2023-01-11T22:00:13.1273264Z   test_NLLLoss2d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1273587Z   test_NLLLoss2d_no_reduce_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1273653Z ok (0.011s)
2023-01-11T22:00:13.1273816Z   test_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1274206Z   test_NLLLoss2d_no_reduce_weights (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1274272Z ok (0.011s)
2023-01-11T22:00:13.1274466Z   test_NLLLoss2d_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1274773Z   test_NLLLossNd_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1274835Z ok (0.021s)
2023-01-11T22:00:13.1275013Z   test_NLLLossNd_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1275320Z   test_NLLLossNd_no_reduce_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1275386Z ok (0.020s)
2023-01-11T22:00:13.1275553Z   test_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1275866Z   test_NLLLossNd_no_reduce_weights (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1275929Z ok (0.021s)
2023-01-11T22:00:13.1276089Z   test_NLLLossNd_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1276193Z   test_NLLLoss_2d (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1276339Z   test_NLLLoss_2d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1276484Z   test_NLLLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1276621Z   test_NLLLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1276763Z   test_NLLLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1276884Z   test_NLLLoss_2d_ignore_index (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1277048Z   test_NLLLoss_2d_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1277211Z   test_NLLLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1277370Z   test_NLLLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1277530Z   test_NLLLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1277648Z   test_NLLLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1277814Z   test_NLLLoss_2d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1277965Z   test_NLLLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1278127Z   test_NLLLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1278291Z   test_NLLLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1278404Z   test_NLLLoss_2d_weights (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1278565Z   test_NLLLoss_2d_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1278720Z   test_NLLLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1278874Z   test_NLLLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1279029Z   test_NLLLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1279165Z   test_NLLLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1279359Z   test_NLLLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1279503Z   test_NLLLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1279642Z   test_NLLLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.000s)
2023-01-11T22:00:13.1279748Z   test_NLLLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1279904Z   test_NLLLoss_dim_is_3_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1280083Z   test_NLLLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1280237Z   test_NLLLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1280388Z   test_NLLLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1280503Z   test_NLLLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1280672Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1280839Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1281006Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1281173Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1281288Z   test_NLLLoss_higher_dim (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1281445Z   test_NLLLoss_higher_dim_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1281602Z   test_NLLLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1281746Z   test_NLLLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1281899Z   test_NLLLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1282027Z   test_NLLLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1282202Z   test_NLLLoss_higher_dim_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1282375Z   test_NLLLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1282549Z   test_NLLLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1282714Z   test_NLLLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1282828Z   test_NLLLoss_ignore_index (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1282985Z   test_NLLLoss_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1283136Z   test_NLLLoss_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1283294Z   test_NLLLoss_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1283532Z   test_NLLLoss_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1283654Z   test_NLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1283821Z   test_NLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1283982Z   test_NLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1284141Z   test_NLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1284257Z   test_NLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1284464Z   test_NLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1284615Z   test_NLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1284776Z   test_NLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1284893Z   test_NLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1285088Z   test_NLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1285242Z   test_NLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1285405Z   test_NLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1285715Z   test_NLLLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1285780Z ok (0.009s)
2023-01-11T22:00:13.1285926Z   test_NLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1286232Z   test_NLLLoss_no_reduce_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1286298Z ok (0.009s)
2023-01-11T22:00:13.1286458Z   test_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1286771Z   test_NLLLoss_no_reduce_weights (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1286835Z ok (0.010s)
2023-01-11T22:00:13.1286990Z   test_NLLLoss_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1287312Z   test_NLLLoss_no_reduce_weights_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1287381Z ok (0.009s)
2023-01-11T22:00:13.1287552Z   test_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1287880Z   test_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1287933Z ok (0.009s)
2023-01-11T22:00:13.1288111Z   test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1288226Z   test_NLLLoss_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1288388Z   test_NLLLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1288547Z   test_NLLLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1288710Z   test_NLLLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1288869Z   test_NLLLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1288979Z   test_NLLLoss_weights (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1289135Z   test_NLLLoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1289279Z   test_NLLLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1289466Z   test_NLLLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1289618Z   test_NLLLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1289741Z   test_NLLLoss_weights_ignore_index (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1289913Z   test_NLLLoss_weights_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1290111Z   test_NLLLoss_weights_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1290278Z   test_NLLLoss_weights_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1290440Z   test_NLLLoss_weights_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1290565Z   test_NLLLoss_weights_ignore_index_neg (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1290740Z   test_NLLLoss_weights_ignore_index_neg_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1290910Z   test_NLLLoss_weights_ignore_index_neg_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1291079Z   test_NLLLoss_weights_ignore_index_neg_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1291250Z   test_NLLLoss_weights_ignore_index_neg_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1291551Z   test_PReLU_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1291616Z ok (0.012s)
2023-01-11T22:00:13.1291756Z   test_PReLU_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1292066Z   test_PReLU_1d_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1292132Z ok (0.012s)
2023-01-11T22:00:13.1292272Z   test_PReLU_1d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1292567Z   test_PReLU_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1292631Z ok (0.013s)
2023-01-11T22:00:13.1292770Z   test_PReLU_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1293079Z   test_PReLU_2d_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1293142Z ok (0.013s)
2023-01-11T22:00:13.1293293Z   test_PReLU_2d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1293586Z   test_PReLU_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1293651Z ok (0.014s)
2023-01-11T22:00:13.1293777Z   test_PReLU_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1294080Z   test_PReLU_3d_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1294144Z ok (0.014s)
2023-01-11T22:00:13.1294327Z   test_PReLU_3d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1294459Z   test_PReLU_backward_requires_grad_false (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1294761Z   test_PReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1294850Z ok (0.008s)
2023-01-11T22:00:13.1294997Z   test_PReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1295291Z   test_PReLU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1295352Z ok (0.008s)
2023-01-11T22:00:13.1295485Z   test_PReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1295791Z   test_Padding122112_3dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1295851Z ok (0.016s)
2023-01-11T22:00:13.1296006Z   test_Padding122112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1296317Z   test_Padding1221_2dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1296378Z ok (0.012s)
2023-01-11T22:00:13.1296534Z   test_Padding1221_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1296841Z   test_Padding12_1dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1296901Z ok (0.009s)
2023-01-11T22:00:13.1297043Z   test_Padding12_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1297347Z   test_Padding2322_2dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1297411Z ok (0.012s)
2023-01-11T22:00:13.1297565Z   test_Padding2322_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1297870Z   test_Padding31_1dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1297936Z ok (0.009s)
2023-01-11T22:00:13.1298087Z   test_Padding31_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1298393Z   test_Padding322112_3dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1298456Z ok (0.016s)
2023-01-11T22:00:13.1298601Z   test_Padding322112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1298905Z   test_Padding332122_3dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1298969Z ok (0.016s)
2023-01-11T22:00:13.1299154Z   test_Padding332122_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1299461Z   test_Padding3331_2dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1299522Z ok (0.012s)
2023-01-11T22:00:13.1299675Z   test_Padding3331_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1300007Z   test_Padding33_1dcircular (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1300067Z ok (0.009s)
2023-01-11T22:00:13.1300217Z   test_Padding33_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1300510Z   test_PairwiseDistance (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1300574Z ok (0.013s)
2023-01-11T22:00:13.1300892Z   test_PairwiseDistance_broadcast_lhs (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1300957Z ok (0.013s)
2023-01-11T22:00:13.1301126Z   test_PairwiseDistance_broadcast_lhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1301448Z   test_PairwiseDistance_broadcast_rhs (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1301511Z ok (0.013s)
2023-01-11T22:00:13.1301682Z   test_PairwiseDistance_broadcast_rhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1301831Z   test_PairwiseDistance_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1302150Z   test_PairwiseDistance_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1302206Z ok (0.012s)
2023-01-11T22:00:13.1302371Z   test_PairwiseDistance_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1302701Z   test_PairwiseDistance_with_non_default_args (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1302764Z ok (0.018s)
2023-01-11T22:00:13.1302941Z   test_PairwiseDistance_with_non_default_args_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1303052Z   test_ParameterDict (__main__.TestNN) ... ok (0.019s)
2023-01-11T22:00:13.1303178Z   test_ParameterDict_replication (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1303283Z   test_ParameterList (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1303398Z   test_ParameterList_meta (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1303512Z   test_ParameterList_replication (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1303812Z   test_PixelShuffle (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1303875Z ok (0.009s)
2023-01-11T22:00:13.1304013Z   test_PixelShuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1304339Z   test_PixelUnshuffle (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1304399Z ok (0.009s)
2023-01-11T22:00:13.1304546Z   test_PixelUnshuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1304691Z   test_PoissonNLLLoss_full_loss (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1304845Z   test_PoissonNLLLoss_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1305008Z   test_PoissonNLLLoss_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1305169Z   test_PoissonNLLLoss_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1305304Z   test_PoissonNLLLoss_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1305484Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1305660Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1305832Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1305965Z   test_PoissonNLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1306133Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1306294Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1306467Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1306596Z   test_PoissonNLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1306766Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1306938Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1307107Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1307237Z   test_PoissonNLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1307404Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1307568Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1307726Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1307851Z   test_PoissonNLLLoss_no_full_loss (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1308017Z   test_PoissonNLLLoss_no_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1308179Z   test_PoissonNLLLoss_no_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1308337Z   test_PoissonNLLLoss_no_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1308477Z   test_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1308650Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1308824Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1308999Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1309341Z   test_PoissonNLLLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1309396Z ok (0.008s)
2023-01-11T22:00:13.1309555Z   test_PoissonNLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1309684Z   test_RNN_cell (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1309807Z   test_RNN_cell_forward_hidden_size (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1309925Z   test_RNN_cell_forward_input_size (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1310048Z   test_RNN_cell_forward_zero_hidden_size (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1310165Z   test_RNN_cell_no_broadcasting (__main__.TestNN) ... ok (0.030s)
2023-01-11T22:00:13.1310297Z   test_RNN_change_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s)
2023-01-11T22:00:13.1310428Z   test_RNN_cpu_vs_cudnn_no_dropout (__main__.TestNN) ... skip: needs cudnn (0.000s)
2023-01-11T22:00:13.1310565Z   test_RNN_cpu_vs_cudnn_with_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.000s)
2023-01-11T22:00:13.1310692Z   test_RNN_cudnn_weight_norm (__main__.TestNN) ... skip: needs cudnn (0.001s)
2023-01-11T22:00:13.1310815Z   test_RNN_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.002s)
2023-01-11T22:00:13.1310945Z   test_RNN_dropout_state (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s)
2023-01-11T22:00:13.1311052Z   test_RNN_input_size_zero (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1311159Z   test_RNN_nonlinearity (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1311454Z   test_RReLU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1311510Z ok (0.007s)
2023-01-11T22:00:13.1311642Z   test_RReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1311946Z   test_RReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1312007Z ok (0.005s)
2023-01-11T22:00:13.1312151Z   test_RReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1312446Z   test_RReLU_with_up_down (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1312508Z ok (0.007s)
2023-01-11T22:00:13.1312652Z   test_RReLU_with_up_down_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1312959Z   test_RReLU_with_up_down_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1313010Z ok (0.005s)
2023-01-11T22:00:13.1313164Z   test_RReLU_with_up_down_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1313452Z   test_ReLU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1313514Z ok (0.008s)
2023-01-11T22:00:13.1313800Z   test_ReLU6 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1313903Z ok (0.008s)
2023-01-11T22:00:13.1314100Z   test_ReLU6_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1314406Z   test_ReLU6_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1314500Z ok (0.005s)
2023-01-11T22:00:13.1314641Z   test_ReLU6_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1314927Z   test_ReLU6_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1314985Z ok (0.005s)
2023-01-11T22:00:13.1315127Z   test_ReLU6_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1315260Z   test_ReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1315559Z   test_ReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1315619Z ok (0.005s)
2023-01-11T22:00:13.1315764Z   test_ReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1316060Z   test_ReLU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1316118Z ok (0.005s)
2023-01-11T22:00:13.1316249Z   test_ReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1316552Z   test_ReflectionPad1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1316610Z ok (0.008s)
2023-01-11T22:00:13.1316918Z   test_ReflectionPad1d_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1316980Z ok (0.009s)
2023-01-11T22:00:13.1317134Z   test_ReflectionPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1317443Z   test_ReflectionPad1d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1317502Z ok (0.015s)
2023-01-11T22:00:13.1317660Z   test_ReflectionPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1317800Z   test_ReflectionPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1318097Z   test_ReflectionPad2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1318156Z ok (0.009s)
2023-01-11T22:00:13.1318467Z   test_ReflectionPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1318529Z ok (0.017s)
2023-01-11T22:00:13.1318683Z   test_ReflectionPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1318865Z   test_ReflectionPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1319180Z   test_ReflectionPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1319239Z ok (0.010s)
2023-01-11T22:00:13.1319430Z   test_ReflectionPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1319720Z   test_ReflectionPad3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1319780Z ok (0.012s)
2023-01-11T22:00:13.1320088Z   test_ReflectionPad3d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1320146Z ok (0.023s)
2023-01-11T22:00:13.1320300Z   test_ReflectionPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1320444Z   test_ReflectionPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1320758Z   test_ReflectionPad3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1320815Z ok (0.012s)
2023-01-11T22:00:13.1320975Z   test_ReflectionPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1321284Z   test_ReplicationPad1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1321336Z ok (0.008s)
2023-01-11T22:00:13.1321648Z   test_ReplicationPad1d_batch (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1321711Z ok (0.009s)
2023-01-11T22:00:13.1321867Z   test_ReplicationPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1322175Z   test_ReplicationPad1d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1322234Z ok (0.015s)
2023-01-11T22:00:13.1322392Z   test_ReplicationPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1322548Z   test_ReplicationPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1322847Z   test_ReplicationPad2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1322908Z ok (0.009s)
2023-01-11T22:00:13.1323206Z   test_ReplicationPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1323269Z ok (0.015s)
2023-01-11T22:00:13.1323542Z   test_ReplicationPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1323689Z   test_ReplicationPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1324049Z   test_ReplicationPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1324110Z ok (0.010s)
2023-01-11T22:00:13.1324277Z   test_ReplicationPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1324641Z   test_ReplicationPad3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1324703Z ok (0.009s)
2023-01-11T22:00:13.1324997Z   test_ReplicationPad3d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1325056Z ok (0.016s)
2023-01-11T22:00:13.1325217Z   test_ReplicationPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1325362Z   test_ReplicationPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1325672Z   test_ReplicationPad3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1325736Z ok (0.010s)
2023-01-11T22:00:13.1325895Z   test_ReplicationPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1326178Z   test_SELU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1326238Z ok (0.008s)
2023-01-11T22:00:13.1326360Z   test_SELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1326652Z   test_SELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1326712Z ok (0.005s)
2023-01-11T22:00:13.1326859Z   test_SELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1327149Z   test_SELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1327210Z ok (0.005s)
2023-01-11T22:00:13.1327347Z   test_SELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1327459Z   test_Sequential_add (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1327570Z   test_Sequential_append (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1327673Z   test_Sequential_delitem (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1327779Z   test_Sequential_extend (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1327889Z   test_Sequential_getitem (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1327996Z   test_Sequential_iadd (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1328096Z   test_Sequential_imul (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1328205Z   test_Sequential_insert (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1328322Z   test_Sequential_insert_fail_case (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1328425Z   test_Sequential_mul (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1328522Z   test_Sequential_pop (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1328624Z   test_Sequential_rmul (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1328764Z   test_Sequential_setitem (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1328887Z   test_Sequential_setitem_named (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1329174Z   test_SiLU (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1329261Z ok (0.009s)
2023-01-11T22:00:13.1329395Z   test_SiLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1329690Z   test_SiLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1329742Z ok (0.005s)
2023-01-11T22:00:13.1329888Z   test_SiLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1330180Z   test_SiLU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1330238Z ok (0.005s)
2023-01-11T22:00:13.1330380Z   test_SiLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1330670Z   test_Sigmoid (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1330728Z ok (0.008s)
2023-01-11T22:00:13.1330866Z   test_Sigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1331165Z   test_Sigmoid_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1331226Z ok (0.005s)
2023-01-11T22:00:13.1331366Z   test_Sigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1331660Z   test_Sigmoid_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1331725Z ok (0.004s)
2023-01-11T22:00:13.1331867Z   test_Sigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1331969Z   test_SmoothL1Loss (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1332271Z   test_SmoothL1Loss_beta (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1332333Z ok (0.008s)
2023-01-11T22:00:13.1332477Z   test_SmoothL1Loss_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1332616Z   test_SmoothL1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1332768Z   test_SmoothL1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1332914Z   test_SmoothL1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1333040Z   test_SmoothL1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1333209Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1333373Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1333566Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1333693Z   test_SmoothL1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1333859Z   test_SmoothL1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1334014Z   test_SmoothL1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1334206Z   test_SmoothL1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1334333Z   test_SmoothL1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1334493Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1334654Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1334825Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1335133Z   test_SmoothL1Loss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1335194Z ok (0.008s)
2023-01-11T22:00:13.1335343Z   test_SmoothL1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1335658Z   test_SmoothL1Loss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1335710Z ok (0.005s)
2023-01-11T22:00:13.1335869Z   test_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1335984Z   test_SmoothL1Loss_scalar (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1336141Z   test_SmoothL1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1336299Z   test_SmoothL1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1336450Z   test_SmoothL1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1336582Z   test_SmoothL1Loss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1336757Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1336918Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1337087Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1337210Z   test_SmoothL1Loss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1337372Z   test_SmoothL1Loss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1337537Z   test_SmoothL1Loss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1337699Z   test_SmoothL1Loss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1338009Z   test_SmoothL1Loss_zero_beta (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1338072Z ok (0.007s)
2023-01-11T22:00:13.1338220Z   test_SmoothL1Loss_zero_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1338323Z   test_SoftMarginLoss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1338507Z   test_SoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1338662Z   test_SoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1338814Z   test_SoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.000s)
2023-01-11T22:00:13.1338941Z   test_SoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1339143Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1339316Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1339488Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1339615Z   test_SoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1339780Z   test_SoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1339951Z   test_SoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1340118Z   test_SoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1340247Z   test_SoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1340416Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1340585Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1340750Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1341064Z   test_SoftMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1341127Z ok (0.010s)
2023-01-11T22:00:13.1341274Z   test_SoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1341398Z   test_SoftMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1341567Z   test_SoftMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1341733Z   test_SoftMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1341899Z   test_SoftMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1342192Z   test_Softmax (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1342256Z ok (0.010s)
2023-01-11T22:00:13.1342549Z   test_Softmax2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1342613Z ok (0.009s)
2023-01-11T22:00:13.1342746Z   test_Softmax2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1343053Z   test_Softmax2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1343114Z ok (0.008s)
2023-01-11T22:00:13.1343267Z   test_Softmax2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1343436Z   test_Softmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1343741Z   test_Softmax_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1343805Z ok (0.007s)
2023-01-11T22:00:13.1343956Z   test_Softmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1344282Z   test_Softmax_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1344343Z ok (0.005s)
2023-01-11T22:00:13.1344477Z   test_Softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1344769Z   test_Softmin (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1344832Z ok (0.008s)
2023-01-11T22:00:13.1344969Z   test_Softmin_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1345268Z   test_Softmin_multidim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1345329Z ok (0.009s)
2023-01-11T22:00:13.1345476Z   test_Softmin_multidim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1345776Z   test_Softmin_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1345839Z ok (0.009s)
2023-01-11T22:00:13.1345976Z   test_Softmin_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1346272Z   test_Softmin_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1346336Z ok (0.005s)
2023-01-11T22:00:13.1346482Z   test_Softmin_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1346771Z   test_Softplus (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1346832Z ok (0.008s)
2023-01-11T22:00:13.1347132Z   test_Softplus_beta (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1347196Z ok (0.008s)
2023-01-11T22:00:13.1347340Z   test_Softplus_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1347650Z   test_Softplus_beta_threshold (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1347705Z ok (0.008s)
2023-01-11T22:00:13.1347859Z   test_Softplus_beta_threshold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1348173Z   test_Softplus_beta_threshold_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1348276Z ok (0.005s)
2023-01-11T22:00:13.1348442Z   test_Softplus_beta_threshold_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1348580Z   test_Softplus_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1348889Z   test_Softplus_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1348982Z ok (0.005s)
2023-01-11T22:00:13.1349132Z   test_Softplus_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1349417Z   test_Softshrink (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1349480Z ok (0.007s)
2023-01-11T22:00:13.1349623Z   test_Softshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1349924Z   test_Softshrink_lambda (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1349990Z ok (0.006s)
2023-01-11T22:00:13.1350140Z   test_Softshrink_lambda_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1350449Z   test_Softshrink_lambda_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1350514Z ok (0.004s)
2023-01-11T22:00:13.1350668Z   test_Softshrink_lambda_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1350981Z   test_Softshrink_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1351032Z ok (0.005s)
2023-01-11T22:00:13.1351184Z   test_Softshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1351481Z   test_Softsign (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1351544Z ok (0.010s)
2023-01-11T22:00:13.1351682Z   test_Softsign_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1351985Z   test_Softsign_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1352046Z ok (0.007s)
2023-01-11T22:00:13.1352195Z   test_Softsign_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1352494Z   test_Softsign_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1352548Z ok (0.007s)
2023-01-11T22:00:13.1352694Z   test_Softsign_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1352981Z   test_Tanh (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1353045Z ok (0.008s)
2023-01-11T22:00:13.1353210Z   test_Tanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1353512Z   test_Tanh_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1353575Z ok (0.005s)
2023-01-11T22:00:13.1353748Z   test_Tanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1354114Z   test_Tanh_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1354180Z ok (0.005s)
2023-01-11T22:00:13.1354311Z   test_Tanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1354608Z   test_Tanhshrink (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1354673Z ok (0.009s)
2023-01-11T22:00:13.1354815Z   test_Tanhshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1355125Z   test_Tanhshrink_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1355191Z ok (0.006s)
2023-01-11T22:00:13.1355349Z   test_Tanhshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1355656Z   test_Tanhshrink_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1355721Z ok (0.005s)
2023-01-11T22:00:13.1355860Z   test_Tanhshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1356165Z   test_Threshold_large_value (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1356230Z ok (0.007s)
2023-01-11T22:00:13.1356385Z   test_Threshold_large_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1356689Z   test_Threshold_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1356753Z ok (0.005s)
2023-01-11T22:00:13.1356908Z   test_Threshold_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1357218Z   test_Threshold_threshold_value (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1357282Z ok (0.008s)
2023-01-11T22:00:13.1357431Z   test_Threshold_threshold_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1357751Z   test_Threshold_threshold_value_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1357814Z ok (0.005s)
2023-01-11T22:00:13.1357977Z   test_Threshold_threshold_value_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1358348Z   test_TransformerDecoderLayer_gelu_activation (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1358413Z ok (0.099s)
2023-01-11T22:00:13.1358599Z   test_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1358962Z   test_TransformerDecoderLayer_relu_activation (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1359026Z ok (0.099s)
2023-01-11T22:00:13.1359211Z   test_TransformerDecoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1359549Z   test_TransformerEncoderLayer_gelu_activation (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1359601Z ok (0.051s)
2023-01-11T22:00:13.1359785Z   test_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1360120Z   test_TransformerEncoderLayer_relu_activation (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1360184Z ok (0.048s)
2023-01-11T22:00:13.1360364Z   test_TransformerEncoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1360474Z   test_Transformer_cell (__main__.TestNN) ... ok (1.059s)
2023-01-11T22:00:13.1360793Z   test_Transformer_multilayer_coder (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1360855Z ok (0.640s)
2023-01-11T22:00:13.1361021Z   test_Transformer_multilayer_coder_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1361148Z   test_TripletMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.1361331Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1361509Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1361681Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1361816Z   test_TripletMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.010s)
2023-01-11T22:00:13.1361996Z   test_TripletMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1362178Z   test_TripletMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1362352Z   test_TripletMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1362490Z   test_TripletMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.010s)
2023-01-11T22:00:13.1362657Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1362833Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1363005Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1363348Z   test_Unflatten_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1363526Z ok (0.007s)
2023-01-11T22:00:13.1363684Z   test_Unflatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1363979Z   test_Unfold (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1364087Z ok (0.007s)
2023-01-11T22:00:13.1364226Z   test_Unfold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1364531Z   test_Unfold_int_input (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1364583Z ok (0.006s)
2023-01-11T22:00:13.1364727Z   test_Unfold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1365027Z   test_ZeroPad2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1365093Z ok (0.008s)
2023-01-11T22:00:13.1365397Z   test_ZeroPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1365459Z ok (0.014s)
2023-01-11T22:00:13.1365610Z   test_ZeroPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1365756Z   test_ZeroPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1366068Z   test_ZeroPad2d_negative_dims (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1366120Z ok (0.007s)
2023-01-11T22:00:13.1366279Z   test_ZeroPad2d_negative_dims_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1366586Z   test_ZeroPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1366649Z ok (0.008s)
2023-01-11T22:00:13.1366805Z   test_ZeroPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1366922Z   test_adaptive_log_softmax (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1367026Z   test_add_module (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1367161Z   test_add_module_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1367253Z   test_affine_grid (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1367360Z   test_affine_grid_3d (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1367483Z   test_affine_grid_error_checking (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1367587Z   test_assignment (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1367736Z   test_batchnorm_buffer_update_when_stats_are_not_tracked (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1367877Z   test_batchnorm_cudnn_half (__main__.TestNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T22:00:13.1368020Z   test_batchnorm_cudnn_nhwc (__main__.TestNN) ... skip: CUDA unavailable (0.002s)
2023-01-11T22:00:13.1368133Z   test_batchnorm_nhwc_cpu (__main__.TestNN) ... ok (0.018s)
2023-01-11T22:00:13.1368301Z   test_batchnorm_nhwc_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.1368632Z   test_batchnorm_non_contig_cpu_bn_module_<class 'torch_nn_modules_batchnorm_BatchNorm2d'> (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1368911Z   test_batchnorm_non_contig_cpu_bn_module_<class 'torch_nn_modules_batchnorm_SyncBatchNorm'> (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1369066Z   test_batchnorm_nonaffine_cuda_half_input (__main__.TestNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T22:00:13.1369249Z   test_batchnorm_raises_error_if_bias_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1369406Z   test_batchnorm_raises_error_if_less_than_one_value_per_channel (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1369567Z   test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1369727Z   test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1369902Z   test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad (__main__.TestNN) ... ok (0.012s)
2023-01-11T22:00:13.1370048Z   test_batchnorm_raises_error_if_weight_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1370175Z   test_bce_loss_always_nonnegative (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1370295Z   test_bce_loss_broadcasts_weights (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1370413Z   test_bce_loss_input_range (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.1370528Z   test_bce_loss_size_mismatch (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1370665Z   test_bce_with_logits_broadcasts_pos_weights (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1370796Z   test_bce_with_logits_broadcasts_weights (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1370951Z   test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1371121Z   test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad (__main__.TestNN) ... ok (0.037s)
2023-01-11T22:00:13.1371260Z   test_bce_with_logits_has_correct_forward_grad (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1371393Z   test_bce_with_logits_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1371545Z   test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1371709Z   test_bce_with_logits_raises_if_target_and_input_are_different_size (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1371828Z   test_bce_with_logits_stability (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1371981Z   test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1372082Z   test_bilinear (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1372200Z   test_bilinear_broadcasting (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1372299Z   test_bilinear_no_bias (__main__.TestNN) ... ok (0.041s)
2023-01-11T22:00:13.1372417Z   test_bilinear_non_contiguous (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1372666Z   test_broadcast_double_backwards_gpu (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2023-01-11T22:00:13.1372885Z   test_broadcast_no_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2023-01-11T22:00:13.1373119Z   test_broadcast_not_requiring_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2023-01-11T22:00:13.1373240Z   test_buffer_not_persistent (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1373367Z   test_buffer_not_persistent_assign (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1373487Z   test_buffer_not_persistent_del (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1373598Z   test_buffer_not_persistent_load (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1373727Z   test_buffer_not_persistent_overwrite (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1373883Z   test_buffers_and_named_buffers (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1374626Z   test_call_supports_python_dict_output (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1296: UserWarning: Using non-full backward hooks on a Module that does not return a single Tensor or a tuple of Tensors is deprecated and will be removed in future versions. This hook will be missing some of the grad_output. Please use register_full_backward_hook to get the documented behavior.
2023-01-11T22:00:13.1374889Z   warnings.warn("Using non-full backward hooks on a Module that does not return a "
2023-01-11T22:00:13.1374953Z ok (0.002s)
2023-01-11T22:00:13.1375062Z   test_channel_shuffle (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1375187Z   test_channel_shuffle_return_self (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1375276Z   test_children (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1375384Z   test_clip_grad_norm (__main__.TestNN) ... ok (0.010s)
2023-01-11T22:00:13.1375494Z   test_clip_grad_value (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1375601Z   test_container_copy (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1375743Z   test_convert_sync_batchnorm (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.1375876Z   test_cosine_embedding_loss_invalid_shape (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1376013Z   test_cosine_embedding_loss_margin_no_reduce (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1376141Z   test_cosine_embedding_loss_no_reduce (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1376265Z   test_cosine_embedding_loss_with_diff_type (__main__.TestNN) ... ok (0.036s)
2023-01-11T22:00:13.1376378Z   test_cosine_similarity (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1376492Z   test_cross_entropy_loss (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1376617Z   test_cross_entropy_loss_precision (__main__.TestNN) ... ok (3.510s)
2023-01-11T22:00:13.1376739Z   test_cross_entropy_loss_zero_div (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1376992Z   test_cudnn_rnn_dropout_states_device (__main__.TestNN) ... skip: CUDNN or multi-gpu not available (0.001s)
2023-01-11T22:00:13.1377135Z   test_cudnn_weight_format (__main__.TestNN) ... skip: CUDNN not available (0.002s)
2023-01-11T22:00:13.1377278Z   test_cudnn_weight_tying (__main__.TestNN) ... skip: CUDNN not available (0.002s)
2023-01-11T22:00:13.1377364Z   test_dir (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1377463Z   test_dir_digit (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1377578Z   test_elu_inplace_gradgrad (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1377690Z   test_elu_inplace_on_view (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1377804Z   test_error_RNN_seq_len_zero (__main__.TestNN) ... ok (0.018s)
2023-01-11T22:00:13.1377907Z   test_extra_state (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1378037Z   test_extra_state_missing_get_extra_state (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1378169Z   test_extra_state_missing_set_extra_state (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1378270Z   test_extra_state_non_dict (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1378607Z   test_fb_fc_packed (__main__.TestNN) ... test_nn.py:2184: UserWarning: fbgemm_pack_gemm_matrix_fp16 is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:382.)
2023-01-11T22:00:13.1378737Z   packed_w_tensor = torch.fbgemm_pack_gemm_matrix_fp16(w_tensor)
2023-01-11T22:00:13.1379050Z test_nn.py:2185: UserWarning: fbgemm_linear_fp16_weight_fp32_activation is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:417.)
2023-01-11T22:00:13.1379201Z   actual_output = torch.fbgemm_linear_fp16_weight(x_tensor, packed_w_tensor, b_tensor)
2023-01-11T22:00:13.1379265Z ok (0.002s)
2023-01-11T22:00:13.1379396Z   test_flatten (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1379508Z   test_fold_invalid_arg (__main__.TestNN) ... ok (0.027s)
2023-01-11T22:00:13.1379626Z   test_gaussian_nll_loss_args (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1379743Z   test_gaussian_nll_loss_broadcasting (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1379845Z   test_get_buffer (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1379996Z   test_get_buffer_from_submodules (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1380131Z   test_getattr_with_property (__main__.TestNN) ... expected failure (0.001s)
2023-01-11T22:00:13.1380233Z   test_grid_sample (__main__.TestNN) ... ok (0.908s)
2023-01-11T22:00:13.1380341Z   test_grid_sample_3d (__main__.TestNN) ... ok (0.095s)
2023-01-11T22:00:13.1380970Z   test_grid_sample_error_checking (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4236: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2023-01-11T22:00:13.1381096Z   "Default grid_sample and affine_grid behavior has changed "
2023-01-11T22:00:13.1381149Z ok (0.033s)
2023-01-11T22:00:13.1381264Z   test_hardtanh_backward (__main__.TestNN) ... ok (0.085s)
2023-01-11T22:00:13.1381386Z   test_hardtanh_inplace_gradgrad (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1381506Z   test_huber_loss_invalid_delta (__main__.TestNN) ... ok (0.008s)
2023-01-11T22:00:13.1381612Z   test_inplace_thnn (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1381718Z   test_interpolate (__main__.TestNN) ... ok (0.142s)
2023-01-11T22:00:13.1382033Z   test_interpolate_bicubic_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1382098Z ok (0.008s)
2023-01-11T22:00:13.1382247Z   test_interpolate_bicubic_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1382570Z   test_interpolate_bicubic_2d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1382641Z ok (0.006s)
2023-01-11T22:00:13.1382812Z   test_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1383131Z   test_interpolate_bicubic_scale_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1383196Z ok (0.008s)
2023-01-11T22:00:13.1383362Z   test_interpolate_bicubic_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1383694Z   test_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1383759Z ok (0.007s)
2023-01-11T22:00:13.1383935Z   test_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1384255Z   test_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1384322Z ok (0.007s)
2023-01-11T22:00:13.1384707Z   test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1384775Z ok (0.007s)
2023-01-11T22:00:13.1384964Z   test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1385139Z   test_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1385489Z   test_interpolate_bicubic_tuple_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1385551Z ok (0.007s)
2023-01-11T22:00:13.1385878Z   test_interpolate_bicubic_tuple_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1385942Z ok (0.007s)
2023-01-11T22:00:13.1386107Z   test_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1386269Z   test_interpolate_bicubic_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1386582Z   test_interpolate_bilinear_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1386645Z ok (0.007s)
2023-01-11T22:00:13.1386801Z   test_interpolate_bilinear_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1387121Z   test_interpolate_bilinear_2d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1387186Z ok (0.006s)
2023-01-11T22:00:13.1387351Z   test_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1387672Z   test_interpolate_bilinear_scale_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1387739Z ok (0.007s)
2023-01-11T22:00:13.1387892Z   test_interpolate_bilinear_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1388225Z   test_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1388289Z ok (0.007s)
2023-01-11T22:00:13.1388467Z   test_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1388789Z   test_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1388854Z ok (0.006s)
2023-01-11T22:00:13.1389196Z   test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1389259Z ok (0.006s)
2023-01-11T22:00:13.1389481Z   test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1389661Z   test_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1389977Z   test_interpolate_bilinear_tuple_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1390059Z ok (0.006s)
2023-01-11T22:00:13.1390387Z   test_interpolate_bilinear_tuple_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1390449Z ok (0.006s)
2023-01-11T22:00:13.1390626Z   test_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1390790Z   test_interpolate_bilinear_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1390918Z   test_interpolate_buffer_overflow (__main__.TestNN) ... ok (3.672s)
2023-01-11T22:00:13.1391076Z   test_interpolate_illegal_memory_access (__main__.TestNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T22:00:13.1391384Z   test_interpolate_linear_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1391448Z ok (0.007s)
2023-01-11T22:00:13.1391753Z   test_interpolate_linear_1d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1391815Z ok (0.006s)
2023-01-11T22:00:13.1391984Z   test_interpolate_linear_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1392136Z   test_interpolate_linear_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1392450Z   test_interpolate_linear_1d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1392517Z ok (0.006s)
2023-01-11T22:00:13.1392682Z   test_interpolate_linear_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1392999Z   test_interpolate_linear_scale_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1393062Z ok (0.006s)
2023-01-11T22:00:13.1393391Z   test_interpolate_linear_scale_1d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1393450Z ok (0.006s)
2023-01-11T22:00:13.1393626Z   test_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1393787Z   test_interpolate_linear_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1394188Z   test_interpolate_linear_tuple_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1394253Z ok (0.006s)
2023-01-11T22:00:13.1394451Z   test_interpolate_linear_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1394763Z   test_interpolate_nearest_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1394826Z ok (0.006s)
2023-01-11T22:00:13.1394979Z   test_interpolate_nearest_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1395329Z   test_interpolate_nearest_1d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1395382Z ok (0.006s)
2023-01-11T22:00:13.1395547Z   test_interpolate_nearest_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1395857Z   test_interpolate_nearest_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1395922Z ok (0.007s)
2023-01-11T22:00:13.1396079Z   test_interpolate_nearest_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1396404Z   test_interpolate_nearest_2d_launch_configs (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1396471Z ok (0.007s)
2023-01-11T22:00:13.1396642Z   test_interpolate_nearest_2d_launch_configs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1396954Z   test_interpolate_nearest_2d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1397018Z ok (0.006s)
2023-01-11T22:00:13.1397169Z   test_interpolate_nearest_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1397474Z   test_interpolate_nearest_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1397538Z ok (0.009s)
2023-01-11T22:00:13.1397693Z   test_interpolate_nearest_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1398012Z   test_interpolate_nearest_3d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1398078Z ok (0.006s)
2023-01-11T22:00:13.1398241Z   test_interpolate_nearest_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1398555Z   test_interpolate_nearest_scale_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1398620Z ok (0.006s)
2023-01-11T22:00:13.1398776Z   test_interpolate_nearest_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1399087Z   test_interpolate_nearest_scale_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1399150Z ok (0.007s)
2023-01-11T22:00:13.1399341Z   test_interpolate_nearest_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1399657Z   test_interpolate_nearest_scale_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1399721Z ok (0.011s)
2023-01-11T22:00:13.1399881Z   test_interpolate_nearest_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1400223Z   test_interpolate_nearest_tuple_1d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1400287Z ok (0.006s)
2023-01-11T22:00:13.1400443Z   test_interpolate_nearest_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1400746Z   test_interpolate_nearest_tuple_2d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1400810Z ok (0.007s)
2023-01-11T22:00:13.1400970Z   test_interpolate_nearest_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1401284Z   test_interpolate_nearest_tuple_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1401347Z ok (0.010s)
2023-01-11T22:00:13.1401509Z   test_interpolate_nearest_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1401818Z   test_interpolate_trilinear_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1401880Z ok (0.010s)
2023-01-11T22:00:13.1402036Z   test_interpolate_trilinear_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1402355Z   test_interpolate_trilinear_3d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1402409Z ok (0.006s)
2023-01-11T22:00:13.1402577Z   test_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1402889Z   test_interpolate_trilinear_scale_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1402955Z ok (0.010s)
2023-01-11T22:00:13.1403281Z   test_interpolate_trilinear_scale_3d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1403343Z ok (0.009s)
2023-01-11T22:00:13.1403630Z   test_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1403797Z   test_interpolate_trilinear_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1404114Z   test_interpolate_trilinear_tuple_3d (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1404178Z ok (0.007s)
2023-01-11T22:00:13.1404578Z   test_interpolate_trilinear_tuple_3d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1404644Z ok (0.007s)
2023-01-11T22:00:13.1404824Z   test_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1405027Z   test_interpolate_trilinear_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1405145Z   test_kl_div_log_softmax_target (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1405848Z   test_kl_div_with_diff_type (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1406069Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1406133Z ok (0.002s)
2023-01-11T22:00:13.1406262Z   test_kl_div_with_diff_type_log_target (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1406371Z   test_l1_loss_correct (__main__.TestNN) ... ok (10.175s)
2023-01-11T22:00:13.1406500Z   test_layer_norm_grads_with_create_graph_flag (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1406644Z   test_linear_autograd_device_cpu_bias_weightCOO (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1407111Z   test_linear_autograd_device_cpu_bias_weightCSC (__main__.TestNN) ... test_nn.py:6609: UserWarning: Sparse CSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T22:00:13.1407248Z   module.weight = nn.Parameter(module.weight.to_sparse_csc())
2023-01-11T22:00:13.1407312Z ok (0.004s)
2023-01-11T22:00:13.1407451Z   test_linear_autograd_device_cpu_bias_weightCSR (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1407598Z   test_linear_autograd_device_cpu_bias_weightStrided (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1407745Z   test_linear_autograd_device_cpu_nobias_weightCOO (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1407884Z   test_linear_autograd_device_cpu_nobias_weightCSC (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1408006Z   test_linear_autograd_device_cpu_nobias_weightCSR (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1408155Z   test_linear_autograd_device_cpu_nobias_weightStrided (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1408272Z   test_linear_broadcasting (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1408378Z   test_load_state_dict (__main__.TestNN) ... ok (0.009s)
2023-01-11T22:00:13.1408491Z   test_load_state_dict_BC (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1408607Z   test_load_state_dict_child (__main__.TestNN) ... ok (0.197s)
2023-01-11T22:00:13.1408722Z   test_load_state_dict_custom (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1408829Z   test_load_state_dict_invalid (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1408946Z   test_load_state_dict_ref_cycle (__main__.TestNN) ... ok (0.125s)
2023-01-11T22:00:13.1409062Z   test_load_state_dict_type (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1409170Z   test_log_softmax_cpu (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1409474Z   test_log_softmax_dim0 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1409539Z ok (0.008s)
2023-01-11T22:00:13.1409718Z   test_log_softmax_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1410022Z   test_log_softmax_dim3 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1410086Z ok (0.007s)
2023-01-11T22:00:13.1410218Z   test_log_softmax_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1410554Z   test_log_softmax_lastdim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1410619Z ok (0.007s)
2023-01-11T22:00:13.1410769Z   test_log_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1411074Z   test_log_softmax_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1411138Z ok (0.004s)
2023-01-11T22:00:13.1411287Z   test_log_softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1411591Z   test_log_softmax_spatial (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1411660Z ok (0.008s)
2023-01-11T22:00:13.1411811Z   test_log_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1412113Z   test_log_softmax_spatial_special (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1412177Z ok (0.009s)
2023-01-11T22:00:13.1412337Z   test_log_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1412671Z   test_loss_equal_input_target_shape (__main__.TestNN) ... test_nn.py:2799: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1412814Z   'mse_loss': lambda x, y: F.mse_loss(x, y),
2023-01-11T22:00:13.1413102Z test_nn.py:2800: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1413239Z   'l1_loss': lambda x, y: F.l1_loss(x, y),
2023-01-11T22:00:13.1413522Z test_nn.py:2801: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1413685Z   'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y),
2023-01-11T22:00:13.1413961Z test_nn.py:2802: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1414099Z   'huber_loss': lambda x, y: F.huber_loss(x, y),
2023-01-11T22:00:13.1414702Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2919: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2023-01-11T22:00:13.1414958Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2023-01-11T22:00:13.1415025Z ok (0.021s)
2023-01-11T22:00:13.1415158Z   test_margin_ranking_loss_margin_no_reduce (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1415283Z   test_margin_ranking_loss_no_reduce (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1415404Z   test_module_apply_inplace_op (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.1415549Z   test_module_backcompat (__main__.TestNN) ... ok (0.023s)
2023-01-11T22:00:13.1415665Z   test_module_to_argparse (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1415754Z   test_modules (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1415868Z   test_mse_loss_size_warning (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1416202Z   test_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1416267Z ok (0.003s)
2023-01-11T22:00:13.1416445Z   test_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1416554Z   test_named_children (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1416660Z   test_named_modules (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1416797Z   test_named_parameters_remove_duplicate (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1417131Z   test_nested_tensor_from_mask (__main__.TestNN) ... test_nn.py:2204: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T22:00:13.1417229Z   nt = torch._nested_tensor_from_mask(input, mask)
2023-01-11T22:00:13.1417293Z ok (0.002s)
2023-01-11T22:00:13.1417416Z   test_nested_tensor_from_mask_error (__main__.TestNN) ... ok (0.019s)
2023-01-11T22:00:13.1417514Z   test_no_grad (__main__.TestNN) ... ok (0.010s)
2023-01-11T22:00:13.1417627Z   test_non_leaf_parameters (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1417726Z   test_normalize (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1417862Z   test_overwrite_module_params_on_conversion (__main__.TestNN) ... ok (0.015s)
2023-01-11T22:00:13.1418016Z   test_pack_sequence_batch_sizes_throw (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.1418118Z   test_pad_scalar_error (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1418223Z   test_padding_list (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1418333Z   test_pairwise_distance (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1418450Z   test_parameter_assignment (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1418574Z   test_parameterlistdict_pickle (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1418713Z   test_parameterlistdict_setting_attributes (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1418846Z   test_parameters_and_named_parameters (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1418950Z   test_parameters_to_vector (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1419050Z   test_parse_to (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1419196Z   test_partial_flat_weights (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.1419292Z   test_pdist (__main__.TestNN) ... ok (0.016s)
2023-01-11T22:00:13.1419447Z   test_pdist_cpu_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.007s)
2023-01-11T22:00:13.1419599Z   test_pdist_cuda_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.001s)
2023-01-11T22:00:13.1419707Z   test_pdist_empty_col (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1419815Z   test_pdist_empty_row (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1419907Z   test_pdist_large (__main__.TestNN) ... ok (0.014s)
2023-01-11T22:00:13.1419997Z   test_pdist_zeros (__main__.TestNN)
2023-01-11T22:00:13.1420151Z Test that grad is still valid when dist is 0 ... ok (0.008s)
2023-01-11T22:00:13.1420269Z   test_pixel_shuffle_nhwc_cpu (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1420384Z   test_pixel_shuffle_unshuffle (__main__.TestNN) ... ok (0.470s)
2023-01-11T22:00:13.1420718Z   test_pointwise_loss_broadcast (__main__.TestNN) ... test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1420918Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1421203Z test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1421370Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1421643Z test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1421807Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1422086Z test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1422251Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1422528Z test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1422694Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1422981Z test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1423141Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1423419Z test_nn.py:5402: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1423582Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2023-01-11T22:00:13.1423855Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1424008Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1424286Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1424450Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1424730Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1424886Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1425158Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1425359Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1425638Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1425797Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1426101Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1426257Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1426522Z test_nn.py:5403: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1426682Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1426952Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1427137Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1427415Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1427598Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1427875Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1428060Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1428332Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1428517Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1428792Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1428961Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1429238Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1429420Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1429696Z test_nn.py:5404: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1429878Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2023-01-11T22:00:13.1430153Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1430324Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1430626Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1430802Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1431081Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1431278Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1431553Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1431711Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1431985Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1432153Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1432425Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1432595Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1432867Z test_nn.py:5405: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2023-01-11T22:00:13.1433036Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2023-01-11T22:00:13.1433100Z ok (0.040s)
2023-01-11T22:00:13.1433243Z   test_pointwise_loss_target_grad_none_reduction (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1433363Z   test_projections_errors_on_gru_and_rnn (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1433490Z   test_projections_lstm_args_check (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1433733Z   test_projections_lstm_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2023-01-11T22:00:13.1433870Z   test_projections_lstm_initial_hidden_state (__main__.TestNN) ... ok (0.017s)
2023-01-11T22:00:13.1434091Z   test_register_buffer_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1434235Z   test_register_buffer_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1434382Z   test_register_buffer_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1434524Z   test_register_buffer_raises_error_if_not_tensor (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1434667Z   test_register_parameter_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1434813Z   test_register_parameter_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1434966Z   test_register_parameter_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1435093Z   test_register_state_dict_pre_hook (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1435236Z   test_register_state_dict_pre_hook_backward_compat (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1435349Z   test_relu_inplace_on_view (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1435443Z   test_repr (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1435549Z   test_requires_grad_ (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1435644Z   test_rnn_args_check (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1435896Z   test_rnn_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2023-01-11T22:00:13.1436016Z   test_rnn_initial_hidden_state (__main__.TestNN) ... ok (0.014s)
2023-01-11T22:00:13.1436127Z   test_rnn_weight_norm (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1436536Z   test_share_memory (__main__.TestNN) ... test_nn.py:181: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:13.1436672Z   self.assertFalse(p.storage().is_shared())
2023-01-11T22:00:13.1437047Z test_nn.py:186: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:13.1437155Z   self.assertTrue(p.storage().is_shared())
2023-01-11T22:00:13.1437221Z ok (0.002s)
2023-01-11T22:00:13.1437352Z   test_smoothl1loss_intergral_target (__main__.TestNN) ... ok (0.006s)
2023-01-11T22:00:13.1437483Z   test_smoothl1loss_negative_beta_not_supported (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1437589Z   test_softmax_cpu (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1437908Z   test_softmax_functional_dim0 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1437973Z ok (0.007s)
2023-01-11T22:00:13.1438132Z   test_softmax_functional_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1438446Z   test_softmax_functional_dim3 (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1438511Z ok (0.007s)
2023-01-11T22:00:13.1438667Z   test_softmax_functional_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1438980Z   test_softmax_functional_scalar (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1439038Z ok (0.004s)
2023-01-11T22:00:13.1439201Z   test_softmax_functional_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1439499Z   test_softmax_lastdim (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1439564Z ok (0.007s)
2023-01-11T22:00:13.1439712Z   test_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1440019Z   test_softmax_lastdim_dtype (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1440085Z ok (0.007s)
2023-01-11T22:00:13.1440239Z   test_softmax_lastdim_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1440536Z   test_softmax_spatial (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1440601Z ok (0.008s)
2023-01-11T22:00:13.1440737Z   test_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1441081Z   test_softmax_spatial_dtype (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1441148Z ok (0.008s)
2023-01-11T22:00:13.1441303Z   test_softmax_spatial_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1441639Z   test_softmax_spatial_special (__main__.TestNN) ... [W ParallelNative.cpp:230] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2023-01-11T22:00:13.1441702Z ok (0.009s)
2023-01-11T22:00:13.1441857Z   test_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2023-01-11T22:00:13.1441958Z   test_softmin (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1442367Z   test_spectral_norm (__main__.TestNN) ... test_nn.py:1899: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:13.1442500Z   self.assertEqual(m.weight_orig.storage(), m.weight.storage())
2023-01-11T22:00:13.1443161Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:13.1443250Z   device=typed_storage.device,
2023-01-11T22:00:13.1443311Z ok (0.026s)
2023-01-11T22:00:13.1443528Z   test_spectral_norm_dim (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1443651Z   test_spectral_norm_forward (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1443778Z   test_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.019s)
2023-01-11T22:00:13.1443894Z   test_spectral_norm_pickle (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1443994Z   test_state_dict (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1444133Z   test_sync_batchnorm_accuracy_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.1444287Z   test_sync_batchnorm_backward_elemt (__main__.TestNN) ... skip: CUDA not available (0.001s)
2023-01-11T22:00:13.1444401Z   test_threshold_bfloat16 (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1444506Z   test_threshold_int (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1444598Z   test_to (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1444723Z   test_train_errors_for_invalid_mode (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1444842Z   test_transformer_args_check (__main__.TestNN) ... ok (0.195s)
2023-01-11T22:00:13.1444970Z   test_transformer_layer_args_check (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.1445079Z   test_transformerdecoder (__main__.TestNN) ... ok (0.136s)
2023-01-11T22:00:13.1445210Z   test_transformerdecoderlayer (__main__.TestNN) ... ok (0.031s)
2023-01-11T22:00:13.1445342Z   test_transformerdecoderlayer_gelu (__main__.TestNN) ... ok (0.037s)
2023-01-11T22:00:13.1445454Z   test_triplet_margin_loss (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1445582Z   test_triplet_margin_loss_no_reduce (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1445701Z   test_triplet_margin_loss_swap (__main__.TestNN) ... ok (0.005s)
2023-01-11T22:00:13.1445833Z   test_triplet_margin_loss_swap_no_reduce (__main__.TestNN) ... ok (0.004s)
2023-01-11T22:00:13.1445919Z   test_type (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1446639Z   test_unflatten (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1114: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1816.)
2023-01-11T22:00:13.1446753Z   return super(Tensor, self).refine_names(names)
2023-01-11T22:00:13.1446817Z ok (0.002s)
2023-01-11T22:00:13.1446933Z   test_unflatten_invalid_arg (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1447082Z   test_unfold_invalid_arg (__main__.TestNN) ... ok (0.013s)
2023-01-11T22:00:13.1447230Z   test_upsamplingBilinear2d_spatial_invariance (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1447349Z   test_upsamplingLinear1d (__main__.TestNN) ... ok (0.018s)
2023-01-11T22:00:13.1447489Z   test_upsamplingLinear1d_spatial_invariance (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1447603Z   test_upsamplingTrilinear3d (__main__.TestNN) ... ok (0.046s)
2023-01-11T22:00:13.1447751Z   test_upsamplingTrilinear3d_spatial_invariance (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1447868Z   test_upsampling_bfloat16 (__main__.TestNN) ... ok (0.022s)
2023-01-11T22:00:13.1448005Z   test_upsampling_not_recompute_scale_factor (__main__.TestNN) ... ok (0.011s)
2023-01-11T22:00:13.1448125Z   test_upsampling_small_scale (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1448241Z   test_vector_to_parameters (__main__.TestNN) ... ok (0.001s)
2023-01-11T22:00:13.1448345Z   test_weight_norm (__main__.TestNN) ... ok (0.007s)
2023-01-11T22:00:13.1448460Z   test_weight_norm_pickle (__main__.TestNN) ... ok (0.002s)
2023-01-11T22:00:13.1448549Z   test_zero_grad (__main__.TestNN) ... ok (0.003s)
2023-01-11T22:00:13.1448685Z   test_BatchNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1448820Z   test_Bilinear_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1448979Z   test_CTCLoss_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1449124Z   test_CTCLoss_empty_target_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1449305Z   test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1449485Z   test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1449664Z   test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1449831Z   test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1450003Z   test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1450181Z   test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1450334Z   test_GRU_grad_and_gradgrad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.021s)
2023-01-11T22:00:13.1450472Z   test_GroupNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1450610Z   test_GroupNorm_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.396s)
2023-01-11T22:00:13.1450747Z   test_GroupNorm_numeric_cpu (__main__.TestNNDeviceTypeCPU) ... ok (1.100s)
2023-01-11T22:00:13.1450915Z   test_GroupNorm_raises_error_if_one_value_per_group_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1451066Z   test_InstanceNorm1d_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1451202Z   test_InstanceNorm2d_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1451346Z   test_InstanceNorm3d_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1451499Z   test_LSTM_grad_and_gradgrad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:13.1451637Z   test_LayerNorm_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.058s)
2023-01-11T22:00:13.1451806Z   test_LayerNorm_numeric_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.545s)
2023-01-11T22:00:13.1451958Z   test_LocalResponseNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1452105Z   test_MarginLoss_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T22:00:13.1452248Z   test_MarginLoss_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T22:00:13.1452440Z   test_ReflectionPad2d_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1452610Z   test_ReflectionPad3d_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1452767Z   test_ReflectionPad_empty_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:13.1452919Z   test_ReflectionPad_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:13.1453066Z   test_ReplicationPad1d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.147s)
2023-01-11T22:00:13.1453215Z   test_ReplicationPad2d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (2.364s)
2023-01-11T22:00:13.1453362Z   test_ReplicationPad3d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (8.414s)
2023-01-11T22:00:13.1453519Z   test_ReplicationPad_empty_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.020s)
2023-01-11T22:00:13.1453662Z   test_ReplicationPad_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:13.1453829Z   test_TransformerDecoderLayer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.138s)
2023-01-11T22:00:13.1453981Z   test_TransformerDecoder_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.661s)
2023-01-11T22:00:13.1454140Z   test_TransformerEncoderLayer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.165s)
2023-01-11T22:00:13.1454288Z   test_TransformerEncoder_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.488s)
2023-01-11T22:00:13.1454427Z   test_Transformer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (1.527s)
2023-01-11T22:00:13.1454616Z   test_Unfold_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:13.1454819Z   test_activations_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1454956Z   test_activations_bfloat16_cpu_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.167s)
2023-01-11T22:00:13.1455092Z   test_affine_2d_rotate0_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1455230Z   test_affine_2d_rotate45_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1455368Z   test_affine_2d_rotate90_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s)
2023-01-11T22:00:13.1455514Z   test_affine_2d_rotateRandom_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.353s)
2023-01-11T22:00:13.1455656Z   test_affine_3d_rotateRandom_cpu (__main__.TestNNDeviceTypeCPU) ... ok (7.168s)
2023-01-11T22:00:13.1455800Z   test_batchnorm_affine_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:13.1455979Z   test_batchnorm_affine_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1456156Z   test_batchnorm_affine_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1456288Z   test_batchnorm_eval_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1456461Z   test_batchnorm_eval_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1456637Z   test_batchnorm_eval_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1456778Z   test_batchnorm_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:13.1456949Z   test_batchnorm_large_batch_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1457121Z   test_batchnorm_large_batch_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1457320Z   test_batchnorm_simple_average_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:13.1457509Z   test_batchnorm_simple_average_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1457691Z   test_batchnorm_simple_average_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1457827Z   test_batchnorm_update_stats_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1458010Z   test_clip_grad_norm_error_if_nonfinite_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.123s)
2023-01-11T22:00:13.1458180Z   test_clip_grad_norm_multi_device_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1458327Z   test_conv_empty_input_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:13.1459206Z   test_conv_empty_input_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1121: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2023-01-11T22:00:13.1459362Z   "Complex modules are a new feature under active development whose design may change, "
2023-01-11T22:00:13.1459429Z ok (0.005s)
2023-01-11T22:00:13.1459572Z   test_conv_empty_input_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:13.1459715Z   test_conv_empty_input_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1459894Z   test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.020s)
2023-01-11T22:00:13.1460055Z   test_cross_entropy_label_smoothing_errors_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:13.1460236Z   test_cross_entropy_label_smoothing_weight_ignore_indices_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s)
2023-01-11T22:00:13.1460403Z   test_cross_entropy_label_smoothing_with_probs_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s)
2023-01-11T22:00:13.1460590Z   test_cross_entropy_large_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1460781Z   test_cross_entropy_large_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1460966Z   test_cross_entropy_large_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1461137Z   test_cross_entropy_loss_index_target_unit_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:13.1461291Z   test_cross_entropy_loss_one_hot_target_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:13.1461464Z   test_cross_entropy_loss_prob_target_all_reductions_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:13.1461653Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1461849Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1462044Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1462236Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1462424Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1462618Z   test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1462820Z   test_cross_entropy_loss_prob_target_unit_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:13.1462951Z   test_ctc_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.237s)
2023-01-11T22:00:13.1463108Z   test_ctc_loss_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1463248Z   test_device_mask_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1463421Z   test_elu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:13.1463570Z   test_elu_inplace_with_neg_alpha_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s)
2023-01-11T22:00:13.1463695Z   test_fold_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.040s)
2023-01-11T22:00:13.1463828Z   test_glu_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:13.1464002Z   test_grid_sample_half_precision_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1464167Z   test_grid_sample_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T22:00:13.1464324Z   test_grid_sample_large_index_2d_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (6.875s)
2023-01-11T22:00:13.1464500Z   test_grid_sample_large_index_2d_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Insufficient cpu memory (0.078s)
2023-01-11T22:00:13.1464658Z   test_grid_sample_large_index_3d_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (4.909s)
2023-01-11T22:00:13.1464846Z   test_grid_sample_large_index_3d_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Insufficient cpu memory (0.078s)
2023-01-11T22:00:13.1464992Z   test_grid_sample_nan_inf_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1465138Z   test_grid_sample_nan_inf_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1465284Z   test_groupnorm_nhwc_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... ok (0.636s)
2023-01-11T22:00:13.1465430Z   test_groupnorm_nhwc_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.279s)
2023-01-11T22:00:13.1465573Z   test_groupnorm_nhwc_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.617s)
2023-01-11T22:00:13.1465714Z   test_gumbel_softmax_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.010s)
2023-01-11T22:00:13.1465844Z   test_gumbel_softmax_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:13.1465987Z   test_hardsigmoid_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1466123Z   test_hardswish_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1466274Z   test_hardswish_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1466469Z   test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1466657Z   test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1466810Z   test_invalid_reduction_strings_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:13.1466983Z   test_layernorm_half_precision_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1467139Z   test_layernorm_weight_bias_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1467291Z   test_leaky_relu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:13.1467445Z   test_leaky_relu_inplace_with_neg_slope_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s)
2023-01-11T22:00:13.1467603Z   test_leaky_relu_inplace_with_zero_slope_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1467737Z   test_linear_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1467881Z   test_log_softmax_big_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1468053Z   test_logsigmoid_out_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1468247Z   test_lstmcell_backward_only_one_output_grad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1468417Z   test_masked_softmax_TxT_layout_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1468540Z   test_masked_softmax_cpu (__main__.TestNNDeviceTypeCPU) ... ok (8.029s)
2023-01-11T22:00:13.1468750Z   test_masked_softmax_devices_parity_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1468905Z   test_masked_softmax_forward_with_nans_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.327s)
2023-01-11T22:00:13.1469047Z   test_masked_softmax_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.064s)
2023-01-11T22:00:13.1469196Z   test_masked_softmax_mask_types_cpu (__main__.TestNNDeviceTypeCPU) ... ok (25.465s)
2023-01-11T22:00:13.1469377Z   test_masked_softmax_transformer_layout_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1469522Z   test_mish_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1469667Z   test_module_to_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1469796Z   test_module_to_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1469943Z   test_multi_margin_loss_errors_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1470083Z   test_nll_loss_all_ignored_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1470236Z   test_nll_loss_byte_target_matches_long_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:13.1470395Z   test_nll_loss_empty_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1470554Z   test_nll_loss_empty_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1470713Z   test_nll_loss_empty_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1470862Z   test_nll_loss_invalid_target_dim_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:13.1471009Z   test_nll_loss_invalid_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s)
2023-01-11T22:00:13.1471180Z   test_nll_loss_large_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1471359Z   test_nll_loss_large_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1471540Z   test_nll_loss_large_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1471687Z   test_nll_loss_mismatched_batch_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1471841Z   test_nll_loss_out_of_bounds_ignore_index_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1471991Z   test_nll_loss_total_weight_is_zero_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1472120Z   test_nn_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1472251Z   test_nn_scalars_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:13.1472383Z   test_nn_scalars_reductions_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:13.1472537Z   test_nonlinearity_propagate_nan_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1472668Z   test_one_hot_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:13.1472866Z   test_overwrite_module_params_on_conversion_cpu_device_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1473004Z   test_pad_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.024s)
2023-01-11T22:00:13.1473136Z   test_pad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.024s)
2023-01-11T22:00:13.1473311Z   test_prelu_backward_32bit_indexing_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1473503Z   test_rnn_fused_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T22:00:13.1473667Z   test_rnn_fused_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T22:00:13.1473805Z   test_rnn_retain_variables_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.038s)
2023-01-11T22:00:13.1473953Z   test_save_lstm_compatibility_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:13.1474205Z   test_silu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1474336Z   test_skip_init_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1474479Z   test_smooth_l1_loss_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:13.1474627Z   test_smooth_l1_loss_vs_huber_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:13.1474804Z   test_softmax_64bit_indexing_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1474942Z   test_softmax_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.048s)
2023-01-11T22:00:13.1475087Z   test_softmax_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1475246Z   test_softmax_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1475393Z   test_softmax_results_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.626s)
2023-01-11T22:00:13.1475544Z   test_softplus_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1475689Z   test_softplus_low_threshold_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1475821Z   test_softshrink_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1475971Z   test_softshrink_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1476112Z   test_softshrink_negative_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:13.1476250Z   test_threshold_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1477098Z   test_to_complex_cpu (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1121: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2023-01-11T22:00:13.1477259Z   "Complex modules are a new feature under active development whose design may change, "
2023-01-11T22:00:13.1477717Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1130: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:276.)
2023-01-11T22:00:13.1477879Z   return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
2023-01-11T22:00:13.1477947Z ok (0.001s)
2023-01-11T22:00:13.1478114Z   test_transformerencoderlayer_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.039s)
2023-01-11T22:00:13.1478280Z   test_transformerencoderlayer_fast_path_cpu_float64 (__main__.TestNNDeviceTypeCPU)
2023-01-11T22:00:13.1478439Z Test transformer fast path on CPU with different valid mask types and shapes ... ok (0.124s)
2023-01-11T22:00:13.1478611Z   test_transformerencoderlayer_gelu_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.040s)
2023-01-11T22:00:13.1478754Z   test_triplet_margin_with_distance_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (3.960s)
2023-01-11T22:00:13.1478930Z   test_triplet_margin_with_distance_loss_default_parity_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.124s)
2023-01-11T22:00:13.1479137Z   test_upsamplingBicubic2d_aa_correctness_memory_format_torch_channels_last_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1479384Z   test_upsamplingBicubic2d_aa_correctness_memory_format_torch_contiguous_format_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1479576Z   test_upsamplingBicubic2d_antialias_False_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1479764Z   test_upsamplingBicubic2d_antialias_False_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1479981Z   test_upsamplingBicubic2d_antialias_True_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1480167Z   test_upsamplingBicubic2d_antialias_True_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:13.1480333Z   test_upsamplingBicubic2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1480537Z   test_upsamplingBilinear2d_aa_correctness_memory_format_torch_channels_last_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1480737Z   test_upsamplingBilinear2d_aa_correctness_memory_format_torch_contiguous_format_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:13.1480930Z   test_upsamplingBilinear2d_antialias_False_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:13.1481120Z   test_upsamplingBilinear2d_antialias_False_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.041s)
2023-01-11T22:00:13.1481309Z   test_upsamplingBilinear2d_antialias_True_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.045s)
2023-01-11T22:00:13.1481494Z   test_upsamplingBilinear2d_antialias_True_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.045s)
2023-01-11T22:00:13.1481658Z   test_upsamplingNearest1d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1481804Z   test_upsamplingNearest1d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T22:00:13.1481994Z   test_upsamplingNearest1d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1482154Z   test_upsamplingNearest2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:13.1482289Z   test_upsamplingNearest2d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.044s)
2023-01-11T22:00:13.1482475Z   test_upsamplingNearest2d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1482659Z   test_upsamplingNearest2d_launch_fail_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1482844Z   test_upsamplingNearest2d_launch_rocm_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1483009Z   test_upsamplingNearest3d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.137s)
2023-01-11T22:00:13.1483154Z   test_upsamplingNearest3d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:13.1483339Z   test_upsamplingNearest3d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1483624Z   test_upsamplingNearestExact1d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1483793Z   test_upsamplingNearestExact1d_rescale_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:13.1483953Z   test_upsamplingNearestExact2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:13.1484126Z   test_upsamplingNearestExact3d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.137s)
2023-01-11T22:00:13.1484319Z   test_upsampling_64bit_indexing_channels_last_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1484467Z   test_variable_sequence_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.585s)
2023-01-11T22:00:13.1484644Z   test_warp_softmax_64bit_indexing_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:13.1484873Z   test_warp_softmax_64bit_indexing_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:13.1484884Z 
2023-01-11T22:00:13.1485090Z ----------------------------------------------------------------------
2023-01-11T22:00:13.1485171Z Ran 2277 tests in 110.587s
2023-01-11T22:00:13.1485176Z 
2023-01-11T22:00:13.1485272Z OK (skipped=1157, expected failures=3)
2023-01-11T22:00:13.1485277Z 
2023-01-11T22:00:13.1485408Z Generating XML reports...
2023-01-11T22:00:13.1485674Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestAddRelu-20230111215821.xml
2023-01-11T22:00:13.1485954Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20230111215821.xml
2023-01-11T22:00:13.1496196Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20230111215821.xml
2023-01-11T22:00:13.1496558Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionEval-20230111215821.xml
2023-01-11T22:00:13.1496842Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20230111215821.xml
2023-01-11T22:00:13.1497083Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNN-20230111215821.xml
2023-01-11T22:00:13.1497362Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNDeviceTypeCPU-20230111215821.xml
2023-01-11T22:00:13.1497368Z 
2023-01-11T22:00:13.1497732Z ##[endgroup]
2023-01-11T22:00:13.1497976Z FINISHED PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_bfyqhif1)
2023-01-11T22:00:13.1497993Z 
2023-01-11T22:00:13.1498142Z Running test_autograd ... [2023-01-11 22:00:13.074865]
2023-01-11T22:00:13.1498473Z Executing ['/opt/conda/bin/python', '-bb', 'test_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:00:13.075211]
2023-01-11T22:00:33.4890532Z 
2023-01-11T22:00:33.4891263Z Expand the folded group to see the log file of test_autograd
2023-01-11T22:00:33.4895026Z ##[group]PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_jygz9ibl)
2023-01-11T22:00:33.4896158Z Test results will be stored in test-reports/python-unittest/test_autograd
2023-01-11T22:00:33.4896609Z 
2023-01-11T22:00:33.4897156Z Running tests...
2023-01-11T22:00:33.4897691Z ----------------------------------------------------------------------
2023-01-11T22:00:33.4898334Z   test_backward_out_of_context (__main__.TestAllowMutationOnSaved) ... ok (0.022s)
2023-01-11T22:00:33.4898990Z   test_basic (__main__.TestAllowMutationOnSaved) ... ok (0.007s)
2023-01-11T22:00:33.4899614Z   test_disallow_nesting (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2023-01-11T22:00:33.4900242Z   test_double_backward (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2023-01-11T22:00:33.4900909Z   test_save_base_and_modify_view (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2023-01-11T22:00:33.4901590Z   test_save_view_modify_base (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2023-01-11T22:00:33.4902295Z   test_saved_but_not_anymore (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2023-01-11T22:00:33.4903015Z   test_saved_same_tensor_different_versions (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2023-01-11T22:00:33.4903765Z   test_saved_same_tensor_many_times (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2023-01-11T22:00:33.4904440Z   test_views (__main__.TestAllowMutationOnSaved) ... ok (0.007s)
2023-01-11T22:00:33.4905071Z   test_with_math_views (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2023-01-11T22:00:33.4905741Z   test_with_out_variant (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2023-01-11T22:00:33.4906475Z   test_access_saved_tensor_twice_without_recomputation_works (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4910099Z   test_accumulate_grad (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1134.)
2023-01-11T22:00:33.4911884Z   allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
2023-01-11T22:00:33.4912549Z ok (0.002s)
2023-01-11T22:00:33.4913045Z   test_accumulate_grad_tensor_reference (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4913725Z   test_accumulate_grad_with_zero_numel_grad (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4914772Z   test_anomaly_assign_parent_cleanup (__main__.TestAutograd) ... test_autograd.py:4090: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2023-01-11T22:00:33.4915580Z   with detect_anomaly():
2023-01-11T22:00:33.4915945Z ok (0.002s)
2023-01-11T22:00:33.4916423Z   test_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4917027Z   test_anomaly_grad_warnings (__main__.TestAutograd) ... ok (0.013s)
2023-01-11T22:00:33.4917619Z   test_anomaly_mode_no_check_nan (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4918228Z   test_attribute_deletion (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4918901Z   test_autograd_function_extension_enabled_by_default (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4919604Z   test_autograd_function_extension_feature_flag (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4920288Z   test_autograd_inplace_view_of_view (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.4920955Z   test_autograd_inplace_views_creation_meta (__main__.TestAutograd) ... ok (0.205s)
2023-01-11T22:00:33.4921638Z   test_autograd_inplace_views_cross_dtype (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4922293Z   test_autograd_multiple_views_python (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.4922974Z   test_autograd_python_custom_function_inplace (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.4923987Z   test_autograd_simple_views_python (__main__.TestAutograd) ... ok (0.070s)
2023-01-11T22:00:33.4924494Z   test_autograd_views_codegen (__main__.TestAutograd) ... ok (0.016s)
2023-01-11T22:00:33.4924952Z   test_backward (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4925217Z   test_backward_badcalls (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4925489Z   test_backward_copy (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4925752Z   test_backward_create_graph_warns (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4926034Z   test_backward_no_grad (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4926346Z   test_backward_twice_retained_graph_with_saved_values (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4926681Z   test_backward_twice_retained_graph_without_saved_values (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4927005Z   test_backward_twice_with_saved_values (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.4927314Z   test_backward_twice_without_saved_values (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4927609Z   test_backward_with_inputs (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4927888Z   test_backward_with_nonleaf_inputs (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4928691Z   test_calculate_shape_util (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T22:00:33.4929251Z   return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None)
2023-01-11T22:00:33.4929491Z ok (0.002s)
2023-01-11T22:00:33.4929807Z   test_callback_adds_callback (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4930094Z   test_cant_create_saved_tensors (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4930391Z   test_checkpoint_valid_reset_on_error (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4930731Z   test_checkpointing (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:33.4931139Z   test_checkpointing_non_reentrant_autocast_cpu (__main__.TestAutograd)
2023-01-11T22:00:33.4931552Z Test that autocast args such as the dtype are preserved during non-reentrant ... ok (0.003s)
2023-01-11T22:00:33.4931875Z   test_checkpointing_non_reentrant_autocast_gpu (__main__.TestAutograd)
2023-01-11T22:00:33.4932214Z Test that autocast args/kwargs such as the dtype are preserved during ... skip: Test requires CUDA bf16 support (0.000s)
2023-01-11T22:00:33.4932579Z   test_checkpointing_without_reentrant_arbitrary_input_output (__main__.TestAutograd)
2023-01-11T22:00:33.4932915Z Ensures checkpointing without reentrant autograd works with functions ... ok (0.002s)
2023-01-11T22:00:33.4933217Z   test_checkpointing_without_reentrant_correct_grad (__main__.TestAutograd)
2023-01-11T22:00:33.4933527Z Verifies that correct gradients are calculated for checkpoint ... ok (0.002s)
2023-01-11T22:00:33.4933865Z   test_checkpointing_without_reentrant_custom_function_works (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4934200Z   test_checkpointing_without_reentrant_dataparallel (__main__.TestAutograd)
2023-01-11T22:00:33.4934512Z Verifies gradient correctness when checkpoint without reentrant autograd ... ok (0.003s)
2023-01-11T22:00:33.4934956Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4935589Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4936141Z   test_checkpointing_without_reentrant_input_requires_grad_False (__main__.TestAutograd)
2023-01-11T22:00:33.4936724Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2023-01-11T22:00:33.4937270Z   test_checkpointing_without_reentrant_input_requires_grad_True (__main__.TestAutograd)
2023-01-11T22:00:33.4937782Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2023-01-11T22:00:33.4938311Z   test_checkpointing_without_reentrant_memory_savings (__main__.TestAutograd) ... skip: Test requires CUDA (0.002s)
2023-01-11T22:00:33.4938787Z   test_checkpointing_without_reentrant_parameter_used_in_an_out (__main__.TestAutograd)
2023-01-11T22:00:33.4939249Z Ensures that gradient hooks are only called once per tensor. ... ok (0.001s)
2023-01-11T22:00:33.4939670Z   test_copy_slices_graph_task_updates (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4940083Z   test_create_graph_and_full_backward_hook_cycle (__main__.TestAutograd) ... ok (0.467s)
2023-01-11T22:00:33.4940510Z   test_current_graph_task_execution_order (__main__.TestAutograd) ... ok (0.011s)
2023-01-11T22:00:33.4940908Z   test_current_graph_task_id (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4941249Z   test_current_node (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4941624Z   test_custom_autograd_no_early_free (__main__.TestAutograd) ... ok (0.009s)
2023-01-11T22:00:33.4942030Z   test_custom_autograd_repeated_grad_grad (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4942422Z   test_custom_function_cycle (__main__.TestAutograd) ... ok (0.175s)
2023-01-11T22:00:33.4942782Z   test_custom_function_error (__main__.TestAutograd) ... ok (0.050s)
2023-01-11T22:00:33.4943168Z   test_custom_function_exception (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4943577Z   test_custom_function_forward_mode_forward_is_no_op (__main__.TestAutograd) ... ok (0.021s)
2023-01-11T22:00:33.4944108Z   test_custom_function_forward_mode_inplace_checks (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.4944562Z   test_custom_function_forward_mode_non_differentiable (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.4945020Z   test_custom_function_forward_mode_non_tensor_before_tensor_args (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4945523Z   test_custom_function_forward_mode_view_checks (__main__.TestAutograd) ... ok (0.013s)
2023-01-11T22:00:33.4945990Z   test_custom_function_forward_mode_wrong_formula (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.4946466Z   test_custom_function_local_inplace (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4946961Z   test_custom_function_mark_dirty_not_differentiable (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.4947438Z   test_custom_function_no_tensors (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4947905Z   test_custom_function_non_tensor_inputs_outputs (__main__.TestAutograd) ... ok (0.010s)
2023-01-11T22:00:33.4948339Z   test_custom_function_return_view_in_nograd (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.4948754Z   test_custom_function_save_for_forward (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.4949139Z   test_custom_function_saved_tensors (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.4949568Z   test_custom_function_setup_context_multi_input (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4950005Z   test_custom_function_setup_context_multi_output (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4950420Z   test_custom_function_setup_context_simple (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4950824Z   test_deep_reentrant (__main__.TestAutograd) ... ok (0.198s)
2023-01-11T22:00:33.4951257Z   test_default_saved_variable_hooks_double_backward (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.4951685Z   test_dep_nograd (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4952095Z   test_dependent_backward (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4952518Z   test_detach (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.4952856Z   test_detach_base (__main__.TestAutograd)
2023-01-11T22:00:33.4953210Z detaching base does not detach view ... ok (0.001s)
2023-01-11T22:00:33.4953639Z   test_detach_then_inplace_raises_in_autograd (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.4954611Z   test_diagonal_expanded_v (__main__.TestAutograd) ... test_autograd.py:2510: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2023-01-11T22:00:33.4955439Z   v_expanded = torch.tensor(value).expand(10)
2023-01-11T22:00:33.4955770Z ok (0.001s)
2023-01-11T22:00:33.4956104Z   test_dir (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4956547Z   test_disabling_saved_tensor_hooks (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4957011Z   test_disabling_saved_tensor_hooks_nested (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4957463Z   test_dont_materialize_grads (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4957891Z   test_duplicate_backward_root (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4958363Z   test_first_grad_fn_access_in_no_grad_mode (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4958832Z   test_free_deep_graph (__main__.TestAutograd) ... ok (1.797s)
2023-01-11T22:00:33.4959299Z   test_free_deep_graph_complicated (__main__.TestAutograd) ... ok (1.158s)
2023-01-11T22:00:33.4959711Z   test_free_deep_graph_pyfunction (__main__.TestAutograd) ... ok (1.736s)
2023-01-11T22:00:33.4960100Z   test_full_backward_hook_double_backward (__main__.TestAutograd) ... ok (0.072s)
2023-01-11T22:00:33.4960470Z   test_function (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.4960915Z   test_function_returns_input (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4961333Z   test_function_returns_undefined_tensor (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4961706Z   test_gc_in_destructor (__main__.TestAutograd)
2023-01-11T22:00:33.4962121Z Previously, if a Function destructor triggered a garbage collection, ... ok (0.672s)
2023-01-11T22:00:33.4962545Z   test_grad (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4963000Z   test_grad_badcalls (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4963621Z   test_grad_batched_grad (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4964011Z   test_grad_empty_inputs (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4964394Z   test_grad_fn_attr_bindings (__main__.TestAutograd) ... ok (0.018s)
2023-01-11T22:00:33.4964760Z   test_grad_fn_badcalls (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4965118Z   test_grad_fn_prehooks (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4965523Z   test_grad_fn_prehooks_multiple_outputs (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4965947Z   test_grad_fn_prehooks_remove_hooks (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4966405Z   test_grad_mode_class_decoration (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.4966854Z   test_grad_mode_restored_reentrant (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4968640Z   test_grad_nonleaf (__main__.TestAutograd) ... test_autograd.py:776: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T22:00:33.4969618Z   self.assertIsNone(x.grad)
2023-01-11T22:00:33.4969869Z ok (0.003s)
2023-01-11T22:00:33.4970193Z   test_grad_nonleaf_many_outputs (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.4971905Z   test_grad_nonleaf_register_hook (__main__.TestAutograd) ... test_autograd.py:828: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T22:00:33.4973059Z   self.assertIsNone(x_list[0].grad)
2023-01-11T22:00:33.4974798Z test_autograd.py:835: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T22:00:33.4975961Z   self.assertIsNone(x_list[i].grad)
2023-01-11T22:00:33.4976332Z ok (0.003s)
2023-01-11T22:00:33.4976691Z   test_grad_unreachable (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4977181Z   test_grad_unreachable_discovery (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.4977722Z   test_gradcheck_backward_mul_by_grad_output (__main__.TestAutograd) ... ok (0.023s)
2023-01-11T22:00:33.4978289Z   test_gradcheck_check_batched_grad (__main__.TestAutograd) ... ok (0.051s)
2023-01-11T22:00:33.4978912Z   test_gradcheck_check_forward_or_backward_only (__main__.TestAutograd)
2023-01-11T22:00:33.4979433Z Depending on settings for check_forward_ad and check_backward_ad, the ... ok (0.021s)
2023-01-11T22:00:33.4980867Z   test_gradcheck_check_no_differentiable_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:689: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2023-01-11T22:00:33.4981936Z   f'Input #{idx} requires gradient and '
2023-01-11T22:00:33.4982239Z ok (0.003s)
2023-01-11T22:00:33.4982640Z   test_gradcheck_complex_non_complex_outputs (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.4984082Z   test_gradcheck_custom_error (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:689: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2023-01-11T22:00:33.4984981Z   f'Input #{idx} requires gradient and '
2023-01-11T22:00:33.4985308Z ok (0.015s)
2023-01-11T22:00:33.4985715Z   test_gradcheck_dense_and_sparse_inputs (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.4986219Z   test_gradcheck_forward_ad (__main__.TestAutograd) ... ok (0.114s)
2023-01-11T22:00:33.4986739Z   test_gradcheck_forward_ad_batched_grad (__main__.TestAutograd) ... ok (0.009s)
2023-01-11T22:00:33.4987301Z   test_gradcheck_forward_ad_respects_requires_grad (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.4987897Z   test_gradcheck_forward_ad_runs_with_no_requires_grad (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.4989757Z   test_gradcheck_get_analytical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:616: UserWarning: get_analytical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2023-01-11T22:00:33.4991140Z   warnings.warn("get_analytical_jacobian was part of PyTorch's private API and not "
2023-01-11T22:00:33.4991574Z ok (0.009s)
2023-01-11T22:00:33.4993299Z   test_gradcheck_get_numerical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:209: UserWarning: get_numerical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2023-01-11T22:00:33.4994743Z   warnings.warn("get_numerical_jacobian was part of PyTorch's private API and not "
2023-01-11T22:00:33.4995172Z ok (0.007s)
2023-01-11T22:00:33.4996454Z   test_gradcheck_jacobian_mismatch (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:689: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2023-01-11T22:00:33.4997425Z   f'Input #{idx} requires gradient and '
2023-01-11T22:00:33.4997767Z ok (0.040s)
2023-01-11T22:00:33.4999069Z   test_gradcheck_multiple_mkldnn_inputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:689: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2023-01-11T22:00:33.5000037Z   f'Input #{idx} requires gradient and '
2023-01-11T22:00:33.5000362Z ok (0.015s)
2023-01-11T22:00:33.5000885Z   test_gradcheck_nondeterministic (__main__.TestAutograd) ... ok (0.076s)
2023-01-11T22:00:33.5001443Z   test_gradcheck_output_shape_or_dtype_depend_on_values (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5001981Z   test_gradcheck_single_input (__main__.TestAutograd) ... ok (0.012s)
2023-01-11T22:00:33.5003079Z   test_gradcheck_sparse_bsc_input (__main__.TestAutograd) ... test_autograd.py:4389: UserWarning: Sparse BSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2023-01-11T22:00:33.5004427Z   gradcheck(fn, torch.rand(4, 8, dtype=torch.double).to_sparse_bsc((2, 2)).requires_grad_(True),
2023-01-11T22:00:33.5004849Z ok (0.026s)
2023-01-11T22:00:33.5005230Z   test_gradcheck_sparse_bsr_input (__main__.TestAutograd) ... ok (0.020s)
2023-01-11T22:00:33.5005749Z   test_gradcheck_sparse_csc_input (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5006260Z   test_gradcheck_sparse_csr_input (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5006763Z   test_gradcheck_sparse_input (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5008147Z   test_gradcheck_test_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:689: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2023-01-11T22:00:33.5009128Z   f'Input #{idx} requires gradient and '
2023-01-11T22:00:33.5009471Z ok (0.002s)
2023-01-11T22:00:33.5009862Z   test_gradcheck_undefined_grad (__main__.TestAutograd) ... ok (0.010s)
2023-01-11T22:00:33.5010384Z   test_gradcheck_validates_input_mkldnn (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5010925Z   test_gradcheck_validates_inputs (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.5011442Z   test_graph_save_on_cpu (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.5011968Z   test_graph_save_on_cpu_cuda (__main__.TestAutograd) ... skip: test requires CUDA (0.001s)
2023-01-11T22:00:33.5012506Z   test_hessian_vector (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5012964Z   test_hook_none (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5013394Z   test_hook_with_no_name (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5013830Z   test_hooks (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5014256Z   test_hooks_cpp (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5014764Z   test_index_backward_does_not_save_tensor (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5015228Z   test_indexing (__main__.TestAutograd) ... ok (0.019s)
2023-01-11T22:00:33.5015686Z   test_indexing_duplicates (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5016140Z   test_inplace (__main__.TestAutograd) ... ok (0.022s)
2023-01-11T22:00:33.5016601Z   test_inplace_not_requires_grad (__main__.TestAutograd) ... ok (0.009s)
2023-01-11T22:00:33.5017114Z   test_inplace_on_view_backward (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.5017627Z   test_inplace_on_view_leaf_errors (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5018124Z   test_inplace_on_view_saved_output (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5018642Z   test_inplace_on_view_weak_grad_fn (__main__.TestAutograd) ... ok (0.088s)
2023-01-11T22:00:33.5019134Z   test_input_buffer_accum (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5019595Z   test_integer_outputs (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5020026Z   test_invalid_gradients (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.5020498Z   test_isolated_node (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5020927Z   test_leaf_assignment (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5021552Z   test_legacy_function_deprecation_exception (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5022933Z   test_lobpcg (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80338 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2023-01-11T22:00:33.5024018Z   test_mark_non_differentiable (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5024532Z   test_mark_non_differentiable_mixed (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5025025Z   test_mark_non_differentiable_none (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5025523Z   test_materialize_grads (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5025982Z   test_multi_backward (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5026443Z   test_multi_backward_no_grad (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5026918Z   test_multi_grad_hooks (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5028476Z   test_named_tensor_for_complex_views (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1114: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1816.)
2023-01-11T22:00:33.5029488Z   return super(Tensor, self).refine_names(names)
2023-01-11T22:00:33.5029832Z ok (0.001s)
2023-01-11T22:00:33.5030237Z   test_naughty_anomaly_access (__main__.TestAutograd) ... expected failure (0.002s)
2023-01-11T22:00:33.5030825Z   test_naughty_autograd_function_attribute_access (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.5031411Z   test_naughty_autograd_function_stashing_ctx (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5031942Z   test_nested_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5032456Z   test_nested_anomaly_printstack_cleanup (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5032944Z   test_next_functions (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5033351Z   test_no_grad (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5033809Z   test_no_grad_assignment (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5034377Z   test_no_grad_copy (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5035703Z   test_no_grad_copy_sparse (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2326: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`.
2023-01-11T22:00:33.5036609Z   "Argument order of nn.functional.embedding_bag was changed. "
2023-01-11T22:00:33.5036982Z ok (0.013s)
2023-01-11T22:00:33.5037344Z   test_no_grad_input (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5037826Z   test_no_grad_modifies_version (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5038292Z   test_no_grad_python_function (__main__.TestAutograd)
2023-01-11T22:00:33.5038753Z Python Functions should respect grad mode. ... ok (0.001s)
2023-01-11T22:00:33.5039250Z   test_no_requires_grad_inplace (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5039718Z   test_no_unnecessary_save (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5040291Z   test_no_unnecessary_unwrapping (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5040790Z   test_not_implemented_fwad (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5041252Z   test_not_implemented_grad (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5041731Z   test_numpy_requires_grad (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5042218Z   test_once_differentiable (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5042841Z   test_out_variant_raises_when_inputs_require_grad (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5043561Z   test_pack_hook_with_inplace_modification_should_fail (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5044089Z   test_pickle (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5044540Z   test_pow_zero_tensor_gradient (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5045118Z   test_power_function (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5045977Z   test_profiler (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:23 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5046858Z STAGE:2023-01-11 22:00:23 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5047676Z STAGE:2023-01-11 22:00:23 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5048097Z ok (0.002s)
2023-01-11T22:00:33.5048502Z   test_profiler_aggregation_fake (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5049413Z   test_profiler_aggregation_lstm (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:23 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5050287Z STAGE:2023-01-11 22:00:23 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5051080Z STAGE:2023-01-11 22:00:23 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5051441Z 
2023-01-11T22:00:33.5051644Z ===================================================================================================================================================================
2023-01-11T22:00:33.5051974Z TEST
2023-01-11T22:00:33.5052775Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5053583Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2023-01-11T22:00:33.5054573Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5055309Z                    aten::lstm         1.00%     216.000us         5.64%       1.219ms       1.219ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5055800Z                    aten::lstm         0.99%     213.000us         5.03%       1.087ms       1.087ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5056278Z                    aten::lstm         0.94%     204.000us         4.84%       1.045ms       1.045ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5056763Z                    aten::lstm         0.93%     201.000us         4.99%       1.077ms       1.077ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5057256Z                    aten::lstm         0.92%     198.000us         4.94%       1.068ms       1.068ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5057742Z                    aten::lstm         0.91%     197.000us         4.78%       1.033ms       1.033ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5058250Z                    aten::lstm         0.91%     197.000us         4.87%       1.053ms       1.053ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5058734Z                    aten::lstm         0.89%     193.000us         4.84%       1.046ms       1.046ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5059328Z                    aten::lstm         0.88%     191.000us         4.84%       1.046ms       1.046ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5059817Z                    aten::lstm         0.88%     191.000us         4.88%       1.054ms       1.054ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5060771Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5061467Z Self CPU time total: 21.601ms
2023-01-11T22:00:33.5061689Z 
2023-01-11T22:00:33.5062338Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5063112Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2023-01-11T22:00:33.5064099Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5064802Z                    aten::lstm        17.42%       3.762ms        98.13%      21.197ms       1.060ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5065291Z                   aten::addmm        10.21%       2.206ms        12.52%       2.705ms      13.525us           200                 [[80], [3, 20], [20, 80], [], []]  
2023-01-11T22:00:33.5065767Z                     aten::mul         9.26%       2.000ms         9.26%       2.000ms       3.333us           600                                [[3, 20], [3, 20]]  
2023-01-11T22:00:33.5066259Z                aten::sigmoid_         8.68%       1.876ms         8.68%       1.876ms       3.127us           600                                         [[3, 20]]  
2023-01-11T22:00:33.5066776Z            aten::unsafe_split         6.39%       1.380ms        15.97%       3.449ms      17.245us           200                                 [[3, 80], [], []]  
2023-01-11T22:00:33.5067283Z                   aten::slice         4.85%       1.048ms         4.85%       1.048ms       1.310us           800                         [[3, 80], [], [], [], []]  
2023-01-11T22:00:33.5067781Z                  aten::narrow         4.73%       1.021ms         9.16%       1.978ms       2.473us           800                             [[3, 80], [], [], []]  
2023-01-11T22:00:33.5068289Z                   aten::tanh_         3.98%     859.000us         3.98%     859.000us       4.295us           200                                         [[3, 20]]  
2023-01-11T22:00:33.5068771Z                    aten::tanh         3.53%     763.000us         3.53%     763.000us       3.815us           200                                         [[3, 20]]  
2023-01-11T22:00:33.5069263Z                  aten::linear         2.70%     583.000us        18.89%       4.080ms      20.400us           200                         [[3, 20], [80, 20], [80]]  
2023-01-11T22:00:33.5070192Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5070825Z Self CPU time total: 21.601ms
2023-01-11T22:00:33.5071042Z 
2023-01-11T22:00:33.5071239Z ===================================================================================================================================================================
2023-01-11T22:00:33.5071578Z TEST
2023-01-11T22:00:33.5071940Z ===================================================================================================================================================================
2023-01-11T22:00:33.5072473Z This report only display top-level ops statistics
2023-01-11T22:00:33.5073390Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5074400Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2023-01-11T22:00:33.5075424Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5076147Z                    aten::lstm         1.00%     216.000us         5.64%       1.219ms       1.219ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5076704Z                    aten::lstm         0.99%     213.000us         5.03%       1.087ms       1.087ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5077170Z                    aten::lstm         0.94%     204.000us         4.84%       1.045ms       1.045ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5077663Z                    aten::lstm         0.93%     201.000us         4.99%       1.077ms       1.077ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5078134Z                    aten::lstm         0.92%     198.000us         4.94%       1.068ms       1.068ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5078610Z                    aten::lstm         0.91%     197.000us         4.78%       1.033ms       1.033ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5079092Z                    aten::lstm         0.91%     197.000us         4.87%       1.053ms       1.053ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5079557Z                    aten::lstm         0.89%     193.000us         4.84%       1.046ms       1.046ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5080037Z                    aten::lstm         0.88%     191.000us         4.84%       1.046ms       1.046ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5080530Z                    aten::lstm         0.88%     191.000us         4.88%       1.054ms       1.054ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5081455Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5082089Z Self CPU time total: 21.601ms
2023-01-11T22:00:33.5082295Z 
2023-01-11T22:00:33.5082502Z ===================================================================================================================================================================
2023-01-11T22:00:33.5083022Z This report only display top-level ops statistics
2023-01-11T22:00:33.5087015Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5087821Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2023-01-11T22:00:33.5088806Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5089481Z                    aten::lstm        17.42%       3.762ms        98.13%      21.197ms       1.060ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2023-01-11T22:00:33.5089940Z                   aten::randn         0.94%     203.000us         1.84%     397.000us       6.617us            60                              [[], [], [], [], []]  
2023-01-11T22:00:33.5090856Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2023-01-11T22:00:33.5091462Z Self CPU time total: 21.601ms
2023-01-11T22:00:33.5091773Z 
2023-01-11T22:00:33.5091981Z Total time based on python measurements:  23.722ms
2023-01-11T22:00:33.5092432Z CPU time measurement python side overhead: 9.82%
2023-01-11T22:00:33.5092801Z ok (1.270s)
2023-01-11T22:00:33.5093168Z   test_profiler_aggregation_table (__main__.TestAutograd)
2023-01-11T22:00:33.5094057Z Test if the profiling result is aggregated for `str(prof)` ... STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5094960Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5095737Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5096199Z ok (0.002s)
2023-01-11T22:00:33.5096604Z   test_profiler_function_event_avg (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5097449Z   test_profiler_propagation (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5098246Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5099060Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5099508Z ok (0.047s)
2023-01-11T22:00:33.5100249Z   test_profiler_seq_nr (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5101097Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5101877Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5102783Z -------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  
2023-01-11T22:00:33.5103502Z                                                    Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls  
2023-01-11T22:00:33.5104361Z -------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  
2023-01-11T22:00:33.5105021Z                                               aten::add        16.67%      14.000us        16.67%      14.000us      14.000us             1  
2023-01-11T22:00:33.5105498Z                                               aten::sum        16.67%      14.000us        17.86%      15.000us      15.000us             1  
2023-01-11T22:00:33.5105989Z                         torch::autograd::AccumulateGrad         9.52%       8.000us        21.43%      18.000us       9.000us             2  
2023-01-11T22:00:33.5106498Z                                             aten::randn         8.33%       7.000us        17.86%      15.000us       7.500us             2  
2023-01-11T22:00:33.5106971Z                                             aten::copy_         7.14%       6.000us         7.14%       6.000us       3.000us             2  
2023-01-11T22:00:33.5107445Z                                           aten::normal_         5.95%       5.000us         5.95%       5.000us       2.500us             2  
2023-01-11T22:00:33.5107919Z                                            aten::expand         5.95%       5.000us         7.14%       6.000us       6.000us             1  
2023-01-11T22:00:33.5108398Z                                             aten::empty         3.57%       3.000us         3.57%       3.000us       1.500us             2  
2023-01-11T22:00:33.5108864Z                                         aten::ones_like         3.57%       3.000us         7.14%       6.000us       6.000us             1  
2023-01-11T22:00:33.5109383Z       autograd::engine::evaluate_function: SumBackward1         3.57%       3.000us        14.29%      12.000us      12.000us             1  
2023-01-11T22:00:33.5110032Z                                            SumBackward1         3.57%       3.000us        10.71%       9.000us       9.000us             1  
2023-01-11T22:00:33.5110538Z                                 aten::new_empty_strided         3.57%       3.000us         4.76%       4.000us       2.000us             2  
2023-01-11T22:00:33.5111046Z                                        aten::as_strided         2.38%       2.000us         2.38%       2.000us       1.000us             2  
2023-01-11T22:00:33.5111601Z                                        aten::empty_like         2.38%       2.000us         3.57%       3.000us       3.000us             1  
2023-01-11T22:00:33.5112105Z                                     aten::empty_strided         2.38%       2.000us         2.38%       2.000us       0.667us             3  
2023-01-11T22:00:33.5112666Z       autograd::engine::evaluate_function: AddBackward0         2.38%       2.000us         2.38%       2.000us       2.000us             1  
2023-01-11T22:00:33.5113253Z autograd::engine::evaluate_function: torch::autograd...         2.38%       2.000us        23.81%      20.000us      10.000us             2  
2023-01-11T22:00:33.5113798Z                                             aten::fill_         0.00%       0.000us         0.00%       0.000us       0.000us             2  
2023-01-11T22:00:33.5114377Z                                            AddBackward0         0.00%       0.000us         0.00%       0.000us       0.000us             1  
2023-01-11T22:00:33.5115241Z -------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  
2023-01-11T22:00:33.5115811Z Self CPU time total: 84.000us
2023-01-11T22:00:33.5116024Z 
2023-01-11T22:00:33.5116138Z ok (0.005s)
2023-01-11T22:00:33.5116925Z   test_profiler_shapes (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5117807Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5118610Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5118977Z 
2023-01-11T22:00:33.5119573Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2023-01-11T22:00:33.5120310Z                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                             Input Shapes  
2023-01-11T22:00:33.5121247Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2023-01-11T22:00:33.5121894Z           aten::linear         4.63%       5.000us        73.15%      79.000us      79.000us             1              [[128, 20], [30, 20], [30]]  
2023-01-11T22:00:33.5122388Z                aten::t        11.11%      12.000us        17.59%      19.000us      19.000us             1                               [[30, 20]]  
2023-01-11T22:00:33.5122869Z        aten::transpose         4.63%       5.000us         6.48%       7.000us       7.000us             1                       [[30, 20], [], []]  
2023-01-11T22:00:33.5123533Z       aten::as_strided         1.85%       2.000us         1.85%       2.000us       2.000us             1                   [[30, 20], [], [], []]  
2023-01-11T22:00:33.5124039Z            aten::addmm        42.59%      46.000us        50.93%      55.000us      55.000us             1      [[30], [128, 20], [20, 30], [], []]  
2023-01-11T22:00:33.5124515Z           aten::expand         2.78%       3.000us         2.78%       3.000us       3.000us             1                           [[30], [], []]  
2023-01-11T22:00:33.5125008Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                       [[30], [], [], []]  
2023-01-11T22:00:33.5125624Z            aten::copy_         5.56%       6.000us         5.56%       6.000us       6.000us             1               [[128, 30], [128, 30], []]  
2023-01-11T22:00:33.5126115Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 30]]  
2023-01-11T22:00:33.5126608Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 20]]  
2023-01-11T22:00:33.5127166Z           aten::linear         1.85%       2.000us        26.85%      29.000us      29.000us             1              [[128, 30], [40, 30], [40]]  
2023-01-11T22:00:33.5127642Z                aten::t         2.78%       3.000us         4.63%       5.000us       5.000us             1                               [[40, 30]]  
2023-01-11T22:00:33.5128110Z        aten::transpose         1.85%       2.000us         1.85%       2.000us       2.000us             1                       [[40, 30], [], []]  
2023-01-11T22:00:33.5128602Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                   [[40, 30], [], [], []]  
2023-01-11T22:00:33.5129095Z            aten::addmm        15.74%      17.000us        20.37%      22.000us      22.000us             1      [[40], [128, 30], [30, 40], [], []]  
2023-01-11T22:00:33.5129578Z           aten::expand         0.93%       1.000us         0.93%       1.000us       1.000us             1                           [[40], [], []]  
2023-01-11T22:00:33.5130072Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                       [[40], [], [], []]  
2023-01-11T22:00:33.5130608Z            aten::copy_         3.70%       4.000us         3.70%       4.000us       4.000us             1               [[128, 40], [128, 40], []]  
2023-01-11T22:00:33.5131114Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 40]]  
2023-01-11T22:00:33.5131600Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 30]]  
2023-01-11T22:00:33.5132464Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2023-01-11T22:00:33.5133038Z Self CPU time total: 108.000us
2023-01-11T22:00:33.5133258Z 
2023-01-11T22:00:33.5133370Z ok (0.004s)
2023-01-11T22:00:33.5134148Z   test_profiler_unboxed_only (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5134991Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5135789Z STAGE:2023-01-11 22:00:24 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5136258Z ok (0.001s)
2023-01-11T22:00:33.5136653Z   test_pynode_destruction_deadlock (__main__.TestAutograd) ... ok (1.273s)
2023-01-11T22:00:33.5137524Z   test_record_function (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5138393Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5139217Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5139959Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5140695Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5141488Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5141950Z ok (0.005s)
2023-01-11T22:00:33.5142810Z   test_record_function_callbacks (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5143686Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5144493Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5145018Z ok (0.002s)
2023-01-11T22:00:33.5145799Z   test_record_function_legacy (__main__.TestAutograd) ... STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:00:33.5146677Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:00:33.5147483Z STAGE:2023-01-11 22:00:26 16036:16036 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:00:33.5147927Z ok (0.002s)
2023-01-11T22:00:33.5148349Z   test_record_function_multithreaded (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5148873Z   test_reentrant_child_error (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5149335Z   test_reentrant_priority (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5149840Z   test_reentrant_with_callbacks_both_depths (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5150374Z   test_reentrant_with_callbacks_depth_0 (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5150890Z   test_reentrant_with_callbacks_depth_1 (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5151412Z   test_reentrant_with_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5151957Z   test_reentrant_with_non_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5152446Z   test_requires_grad (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5152878Z   test_requires_grad_ (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5153361Z   test_requires_grad_inplace (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5153815Z   test_retain_grad (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5154342Z   test_retain_grad_cycle (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5154831Z   test_retain_grad_inplace (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5155311Z   test_retain_grad_inplace_over_view (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5155811Z   test_return_duplicate (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.5156276Z   test_return_duplicate_inplace (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.5156758Z   test_return_leaf (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5157223Z   test_return_leaf_inplace (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5157703Z   test_save_none_for_backward (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5158214Z   test_save_on_cpu_and_checkpoint (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5158716Z   test_save_output_nr (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5159293Z   test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5159937Z   test_saved_variable_packing_unpacking_did_not_save_original_with_hooks (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5160614Z   test_saved_variable_packing_unpacking_saved_original_with_default_hooks (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5161237Z   test_saved_variable_packing_unpacking_saved_original_with_hooks (__main__.TestAutograd) ... ok (0.012s)
2023-01-11T22:00:33.5161839Z   test_saved_variable_saved_original_inplace_detach (__main__.TestAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5162397Z   test_saved_variable_version_counter (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5162907Z   test_saved_variables_deprecated (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5163675Z   test_saving_variable_to_disk (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.5164161Z   test_select_expanded_v (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5164606Z   test_select_sum (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5165057Z   test_set_data_preserve_pyobj (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5165556Z   test_set_data_self_requires_grad (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5166155Z   test_set_data_tensorimpl_type (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5166635Z   test_set_grad_coroutines (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5167129Z   test_set_grad_coroutines_benign_exceptions (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5167693Z   test_set_grad_coroutines_critical_exceptions (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5168216Z   test_set_grad_coroutines_exit (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5168697Z   test_set_grad_enabled (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5169184Z   test_set_grad_generator_functions (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5169743Z   test_set_grad_generator_functions_recursive (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5170234Z   test_setitem (__main__.TestAutograd) ... ok (0.014s)
2023-01-11T22:00:33.5170581Z   test_setitem_mask (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5170883Z   test_setting_default_saved_variable_hooks_twice_should_not_fail (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5171242Z   test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5171541Z   test_shape (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5171782Z   test_sharded_grad (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5172044Z   test_simple_reentrant (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5172309Z   test_slice_expanded_v (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5172572Z   test_sparse_gather_both_scalar (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5172851Z   test_sparse_gather_dim0 (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5173117Z   test_sparse_gather_dim1 (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5173388Z   test_sparse_gather_dim_neg (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5173660Z   test_sparse_gather_ind_scalar (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5173941Z   test_sparse_gather_x_scalar (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5174215Z   test_sparse_mm_backward (__main__.TestAutograd) ... ok (0.008s)
2023-01-11T22:00:33.5174630Z   test_symeig_no_eigenvectors (__main__.TestAutograd) ... test_autograd.py:4200: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2023-01-11T22:00:33.5175132Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2023-01-11T22:00:33.5175450Z L, _ = torch.symeig(A, upper=upper)
2023-01-11T22:00:33.5175650Z should be replaced with
2023-01-11T22:00:33.5175958Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2023-01-11T22:00:33.5176170Z and
2023-01-11T22:00:33.5176356Z L, V = torch.symeig(A, eigenvectors=True)
2023-01-11T22:00:33.5176555Z should be replaced with
2023-01-11T22:00:33.5177017Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2910.)
2023-01-11T22:00:33.5177378Z   w, v = torch.symeig(A, eigenvectors=False)
2023-01-11T22:00:33.5177563Z ok (0.006s)
2023-01-11T22:00:33.5177780Z   test_tensor_grad_warnings (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5178050Z   test_thread_shutdown (__main__.TestAutograd) ... ok (1.233s)
2023-01-11T22:00:33.5178395Z   test_to_sparse_backward (__main__.TestAutograd) ... ok (0.048s)
2023-01-11T22:00:33.5178653Z   test_too_many_grads (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5178913Z   test_type_conversions (__main__.TestAutograd) ... ok (0.004s)
2023-01-11T22:00:33.5179177Z   test_unrelated_inputs (__main__.TestAutograd) ... ok (0.005s)
2023-01-11T22:00:33.5179428Z   test_unused_output (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5179746Z   test_var_mean_differentiable (__main__.TestAutograd) ... ok (0.003s)
2023-01-11T22:00:33.5180023Z   test_variable_traverse (__main__.TestAutograd) ... ok (0.126s)
2023-01-11T22:00:33.5180276Z   test_version_counter (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5180536Z   test_view_func_replay (__main__.TestAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5180803Z   test_volatile_deprecated (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5181080Z   test_will_engine_execute_node (__main__.TestAutograd) ... ok (0.007s)
2023-01-11T22:00:33.5181370Z   test_wrapped_number_saved_variable_hooks (__main__.TestAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5181707Z   test_view_func_for_complex_views (autograd.test_complex.TestAutogradComplex) ... ok (0.003s)
2023-01-11T22:00:33.5182061Z   test_view_with_multi_output (autograd.test_complex.TestAutogradComplex) ... ok (0.007s)
2023-01-11T22:00:33.5182432Z   test_advanced_indexing_backwards_large_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5182830Z   test_advanced_indexing_backwards_memory_format_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5183215Z   test_backward_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2023-01-11T22:00:33.5183559Z   test_copy__cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5183877Z   test_copy_forward_ad_broadcasting_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5184245Z   test_copy_forward_ad_same_layout_copies_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5184586Z   test_copy_r_to_c_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5184981Z   test_cross_device_reentrant_autograd_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5185461Z   test_free_unneeded_tensor_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5185813Z   test_grad_assignment_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:33.5186188Z   test_gradcheck_input_output_different_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5186567Z   test_inplace_multiple_output_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:33.5186928Z   test_inplace_on_view_backprop_base_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5188206Z   test_inplace_on_view_backprop_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... test_autograd.py:9101: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2023-01-11T22:00:33.5189237Z   self.assertIsNone(a.grad)
2023-01-11T22:00:33.5189427Z ok (0.001s)
2023-01-11T22:00:33.5189689Z   test_inplace_on_view_backprop_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5190047Z   test_inplace_on_view_gradcheck_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.010s)
2023-01-11T22:00:33.5190457Z   test_inplace_on_view_makes_base_require_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5190821Z   test_inplace_on_view_modify_base_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5191162Z   test_inplace_on_view_multi_output_safe_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:33.5191521Z   test_inplace_on_view_multi_output_unsafe_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5191919Z   test_inplace_on_view_multiple_outputs_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:33.5192258Z   test_inplace_on_view_non_contig_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5192616Z   test_inplace_on_view_of_multiple_output_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5192966Z   test_inplace_on_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5193302Z   test_inplace_on_view_python_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:33.5193628Z   test_inplace_on_view_then_no_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5194109Z   test_inputbuffer_add_multidevice_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2023-01-11T22:00:33.5194508Z   test_min_max_median_backprops_to_all_values_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:33.5194856Z   test_mv_grad_stride_0_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5195175Z   test_non_differentiable_ops_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5195507Z   test_parameter_resize_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5195846Z   test_pin_memory_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5196170Z   test_profiler_emit_itt_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5196520Z   test_profiler_emit_nvtx_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5196873Z   test_pyscalar_conversions_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:33.5197242Z   test_reentrant_parent_error_on_cpu_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5197604Z   test_requires_grad_factory_cpu_float32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5197955Z   test_requires_grad_factory_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5198337Z   test_rnn_backward_to_input_but_not_parameters_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5199256Z   test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu (__main__.TestAutogradDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:1479: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1739.)
2023-01-11T22:00:33.5200191Z   func_out = func(*tupled_inputs)
2023-01-11T22:00:33.5201314Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:1479: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1128.)
2023-01-11T22:00:33.5202095Z   func_out = func(*tupled_inputs)
2023-01-11T22:00:33.5202428Z ok (0.006s)
2023-01-11T22:00:33.5202909Z   test_scatter_index_reduce_prod_gradgrad_error_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:33.5203708Z   test_set_requires_grad_only_for_floats_cpu_float32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:33.5204389Z   test_set_requires_grad_only_for_floats_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5205136Z   test_set_requires_grad_only_for_floats_cpu_int16 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:33.5205809Z   test_set_requires_grad_only_for_floats_cpu_int32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:33.5206478Z   test_set_requires_grad_only_for_floats_cpu_int64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:33.5207210Z   test_set_requires_grad_only_for_floats_cpu_int8 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:33.5207880Z   test_simple_reentrant_cross_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5208555Z   test_sparse_backward_cpu_complex128 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5209176Z   test_sparse_backward_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5209822Z   test_sparse_ctor_getter_backward_cpu_complex128 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:33.5210463Z   test_sparse_ctor_getter_backward_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.016s)
2023-01-11T22:00:33.5211069Z   test_sparse_mask_autograd_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5211673Z   test_strided_leaf_grad_layout_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:33.5212240Z   test_to_r_to_c_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:33.5212876Z   test_unused_output_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2023-01-11T22:00:33.5213540Z   test_warning_in_backward_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:33.5214134Z   test_where_functional_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:33.5214699Z   test_where_scalar_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:33.5215850Z   test_advanced_packing_unpacking (__main__.TestAutogradForwardMode) ... test_autograd.py:8092: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5216913Z   self.assertEqual(dual.storage().data_ptr(), foo.storage().data_ptr())
2023-01-11T22:00:33.5217911Z test_autograd.py:8101: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5218866Z   self.assertEqual(dual_primal.storage().data_ptr(), foo.storage().data_ptr())
2023-01-11T22:00:33.5219839Z test_autograd.py:8102: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5220787Z   self.assertEqual(dual_tangent.storage().data_ptr(), bar.storage().data_ptr())
2023-01-11T22:00:33.5221219Z ok (0.005s)
2023-01-11T22:00:33.5221674Z   test_backward_graph_destruction (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5222240Z   test_basic_packing_unpacking (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5222854Z   test_codegen_ignores_undefined_outputs (__main__.TestAutogradForwardMode) ... ok (0.007s)
2023-01-11T22:00:33.5224091Z   test_create_new_zeros_with_same_meta (__main__.TestAutogradForwardMode) ... test_autograd.py:8351: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5225183Z   self.assertEqual(len(result.storage()), len(target.storage()) * prod_of_t_bdims)
2023-01-11T22:00:33.5225599Z ok (0.008s)
2023-01-11T22:00:33.5226020Z   test_default_level (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5226574Z   test_detach_view_tracking (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5227193Z   test_forward_level_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5227753Z   test_fwd_grad_enabled (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5228332Z   test_grad_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5228896Z   test_make_dual_forbid_integral_dtype (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5229530Z   test_make_dual_inference_tensor_in_inference_mode (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5230172Z   test_make_dual_torch_dispatch (__main__.TestAutogradForwardMode) ... ok (0.002s)
2023-01-11T22:00:33.5230744Z   test_metadata_check_check_conj (__main__.TestAutogradForwardMode) ... ok (0.002s)
2023-01-11T22:00:33.5231357Z   test_metadata_check_checks_ignores_size_zero (__main__.TestAutogradForwardMode) ... ok (0.003s)
2023-01-11T22:00:33.5232545Z   test_metadata_check_checks_storage_numel (__main__.TestAutogradForwardMode) ... test_autograd.py:7790: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5233606Z   self.assertEqual(len(primal.storage()), 5)
2023-01-11T22:00:33.5234060Z ok (0.001s)
2023-01-11T22:00:33.5234551Z   test_metadata_check_ignore_storage_offset_for_zero_numel_tensor (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5235782Z   test_metadata_check_when_primal_has_conj_bit (__main__.TestAutogradForwardMode) ... test_autograd.py:7826: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5236827Z   self.assertEqual(len(a.storage()), len(b.storage()))
2023-01-11T22:00:33.5237205Z ok (0.001s)
2023-01-11T22:00:33.5238217Z   test_metadata_check_when_primal_has_neg_bit (__main__.TestAutogradForwardMode) ... test_autograd.py:7841: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5239231Z   self.assertEqual(len(a.storage()), len(b.storage()))
2023-01-11T22:00:33.5239598Z ok (0.001s)
2023-01-11T22:00:33.5240028Z   test_nested_level (__main__.TestAutogradForwardMode) ... ok (0.002s)
2023-01-11T22:00:33.5240582Z   test_non_differentiable (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5241126Z   test_out_variant (__main__.TestAutogradForwardMode) ... ok (0.004s)
2023-01-11T22:00:33.5241643Z   test_print (__main__.TestAutogradForwardMode) ... ok (0.002s)
2023-01-11T22:00:33.5242220Z   test_set_fw_grad_having_own_fw_grad_at_same_level (__main__.TestAutogradForwardMode) ... ok (0.004s)
2023-01-11T22:00:33.5242798Z   test_set_fwd_grad_enabled (__main__.TestAutogradForwardMode) ... ok (0.001s)
2023-01-11T22:00:33.5243676Z   test_size_check (__main__.TestAutogradForwardMode) ... ok (0.004s)
2023-01-11T22:00:33.5244208Z   test_view_inplace_always_creates_a_view (__main__.TestAutogradForwardMode) ... ok (0.003s)
2023-01-11T22:00:33.5244562Z   test_view_inplace_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s)
2023-01-11T22:00:33.5245029Z   test_view_inplace_non_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s)
2023-01-11T22:00:33.5245412Z   test_inplace_on_view_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s)
2023-01-11T22:00:33.5245796Z   test_inplace_on_view_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s)
2023-01-11T22:00:33.5246535Z   test_metadata_check_for_storage_numel_skipped (__main__.TestAutogradForwardModeBatchedGrad) ... test_autograd.py:7716: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:33.5247155Z   self.assertEqual(len(primal.storage()), 5)
2023-01-11T22:00:33.5247359Z ok (0.004s)
2023-01-11T22:00:33.5247626Z   test_out_of_place_basic (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.007s)
2023-01-11T22:00:33.5247982Z   test_out_of_place_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s)
2023-01-11T22:00:33.5248383Z   test_construct_standard_basis_for_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5248831Z   test_construct_standard_basis_for_cuda_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2023-01-11T22:00:33.5249305Z   test_construct_standard_basis_for_cuda_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2023-01-11T22:00:33.5249733Z   test_construct_standard_basis_for_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2023-01-11T22:00:33.5250162Z   test_hessian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.142s)
2023-01-11T22:00:33.5250602Z   test_hessian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.881s)
2023-01-11T22:00:33.5251037Z   test_hessian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.073s)
2023-01-11T22:00:33.5251461Z   test_hessian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.391s)
2023-01-11T22:00:33.5251888Z   test_hessian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5252298Z   test_hessian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2023-01-11T22:00:33.5252714Z   test_hessian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2023-01-11T22:00:33.5253127Z   test_hessian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5253555Z   test_hessian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5253983Z   test_hessian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2023-01-11T22:00:33.5254406Z   test_hessian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5254816Z   test_hessian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2023-01-11T22:00:33.5255226Z   test_hessian_match_vhp_hvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5255626Z   test_hessian_match_vhp_hvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2023-01-11T22:00:33.5256019Z   test_hessian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5256449Z   test_hessian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2023-01-11T22:00:33.5256843Z   test_hessian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5257230Z   test_hessian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s)
2023-01-11T22:00:33.5257623Z   test_hessian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5258071Z   test_hessian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2023-01-11T22:00:33.5258488Z   test_hessian_scalar_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5258910Z   test_hessian_scalar_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2023-01-11T22:00:33.5259315Z   test_hessian_scalar_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5259734Z   test_hessian_scalar_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5260165Z   test_hessian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2023-01-11T22:00:33.5260608Z   test_hessian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.116s)
2023-01-11T22:00:33.5261036Z   test_hessian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5261471Z   test_hessian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.033s)
2023-01-11T22:00:33.5261921Z   test_hessian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5262381Z   test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.031s)
2023-01-11T22:00:33.5262811Z   test_hessian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2023-01-11T22:00:33.5263237Z   test_hessian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5263652Z   test_hvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.090s)
2023-01-11T22:00:33.5264046Z   test_hvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.486s)
2023-01-11T22:00:33.5264419Z   test_hvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5264802Z   test_hvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2023-01-11T22:00:33.5265195Z   test_hvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5265594Z   test_hvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5265970Z   test_hvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5266351Z   test_hvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2023-01-11T22:00:33.5266732Z   test_hvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5267103Z   test_hvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5267484Z   test_hvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5267864Z   test_hvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5268310Z   test_jacobian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.062s)
2023-01-11T22:00:33.5268740Z   test_jacobian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.348s)
2023-01-11T22:00:33.5269177Z   test_jacobian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.049s)
2023-01-11T22:00:33.5269608Z   test_jacobian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.245s)
2023-01-11T22:00:33.5270057Z   test_jacobian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5270454Z   test_jacobian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2023-01-11T22:00:33.5270874Z   test_jacobian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2023-01-11T22:00:33.5271308Z   test_jacobian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2023-01-11T22:00:33.5271738Z   test_jacobian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5272156Z   test_jacobian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2023-01-11T22:00:33.5272580Z   test_jacobian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5273007Z   test_jacobian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5273419Z   test_jacobian_match_vjp_jvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5273808Z   test_jacobian_match_vjp_jvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2023-01-11T22:00:33.5274293Z   test_jacobian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5274687Z   test_jacobian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5275068Z   test_jacobian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5275460Z   test_jacobian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2023-01-11T22:00:33.5275864Z   test_jacobian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5276282Z   test_jacobian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5276672Z   test_jacobian_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5277062Z   test_jacobian_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5277465Z   test_jacobian_scalar_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2023-01-11T22:00:33.5277876Z   test_jacobian_scalar_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5278330Z   test_jacobian_vectorize_correctness_different_devices_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2023-01-11T22:00:33.5278843Z   test_jacobian_vectorize_correctness_different_devices_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2023-01-11T22:00:33.5279325Z   test_jacobian_vectorize_correctness_different_dtype_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5279782Z   test_jacobian_vectorize_correctness_different_dtype_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2023-01-11T22:00:33.5280251Z   test_jacobian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5280706Z   test_jacobian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.019s)
2023-01-11T22:00:33.5281165Z   test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2023-01-11T22:00:33.5281663Z   test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.062s)
2023-01-11T22:00:33.5282102Z   test_jacobian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5282539Z   test_jacobian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.020s)
2023-01-11T22:00:33.5282992Z   test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5283618Z   test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.022s)
2023-01-11T22:00:33.5284059Z   test_jacobian_vectorize_correctness_zero_dim_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5284497Z   test_jacobian_vectorize_correctness_zero_dim_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.035s)
2023-01-11T22:00:33.5284937Z   test_jacobian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2023-01-11T22:00:33.5285370Z   test_jacobian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5285772Z   test_jvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.063s)
2023-01-11T22:00:33.5286169Z   test_jvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.340s)
2023-01-11T22:00:33.5286556Z   test_jvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5286944Z   test_jvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5287322Z   test_jvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5287727Z   test_jvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5288114Z   test_jvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5288480Z   test_jvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5288859Z   test_jvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5289239Z   test_jvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5289618Z   test_jvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5289985Z   test_jvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5290372Z   test_vhp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.081s)
2023-01-11T22:00:33.5290768Z   test_vhp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.443s)
2023-01-11T22:00:33.5291152Z   test_vhp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5291524Z   test_vhp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5291913Z   test_vhp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5292361Z   test_vhp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5292750Z   test_vhp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5293117Z   test_vhp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2023-01-11T22:00:33.5293495Z   test_vhp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5293909Z   test_vhp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5294276Z   test_vhp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5294655Z   test_vhp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5295042Z   test_vjp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.057s)
2023-01-11T22:00:33.5295432Z   test_vjp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.301s)
2023-01-11T22:00:33.5295805Z   test_vjp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5296187Z   test_vjp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5296572Z   test_vjp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5296975Z   test_vjp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5297348Z   test_vjp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5297726Z   test_vjp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2023-01-11T22:00:33.5298104Z   test_vjp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5298471Z   test_vjp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2023-01-11T22:00:33.5298852Z   test_vjp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2023-01-11T22:00:33.5299228Z   test_vjp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2023-01-11T22:00:33.5299594Z   test_inference_mode_context_manager (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5299923Z   test_inference_mode_decorator (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5300275Z   test_inference_mode_existing_autograd_session (__main__.TestAutogradInferenceMode) ... ok (0.006s)
2023-01-11T22:00:33.5300644Z   test_inference_mode_handle_direct_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.007s)
2023-01-11T22:00:33.5301015Z   test_inference_mode_handle_indirect_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.005s)
2023-01-11T22:00:33.5301384Z   test_inference_mode_inf_tensor_in_inf_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5301763Z   test_inference_mode_inf_tensor_in_inf_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5302137Z   test_inference_mode_inf_tensor_in_inf_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5302507Z   test_inference_mode_inf_tensor_in_normal_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5302891Z   test_inference_mode_inf_tensor_in_normal_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.006s)
2023-01-11T22:00:33.5303270Z   test_inference_mode_inf_tensor_in_normal_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5303631Z   test_inference_mode_tensor_creation (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5304008Z   test_mix_inference_and_normal_tensor_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.004s)
2023-01-11T22:00:33.5304375Z   test_mix_inference_and_normal_tensor_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.008s)
2023-01-11T22:00:33.5304740Z   test_mix_inference_and_normal_tensor_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5305106Z   test_normal_tensor_inplace_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5305493Z   test_normal_tensor_inplace_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5305858Z   test_normal_tensor_view_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2023-01-11T22:00:33.5306223Z   test_normal_tensor_view_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.004s)
2023-01-11T22:00:33.5306614Z   test_autograd_composite_implicit_and_dispatch_registration_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.002s)
2023-01-11T22:00:33.5307043Z   test_autograd_multiple_dispatch_registrations_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.002s)
2023-01-11T22:00:33.5307455Z   test_backward_single_threaded_cpu (__main__.TestAutogradMultipleDispatchCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:33.5307834Z   test_foward_mode_AD_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.001s)
2023-01-11T22:00:33.5308186Z   test_per_dispatch_key_input_saving_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.006s)
2023-01-11T22:00:33.5308540Z   test_view_copy_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.002s)
2023-01-11T22:00:33.5308857Z   test_cat_stack_r_to_c (__main__.TestMultithreadAutograd) ... ok (0.113s)
2023-01-11T22:00:33.5309180Z   test_dataparallel_saved_tensors_hooks (__main__.TestMultithreadAutograd) ... ok (0.002s)
2023-01-11T22:00:33.5309490Z   test_fork_join_in_middle (__main__.TestMultithreadAutograd) ... ok (0.021s)
2023-01-11T22:00:33.5309799Z   test_multi_grad_hooks (__main__.TestMultithreadAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5310130Z   test_multithreaded_exception_propagation (__main__.TestMultithreadAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5310453Z   test_preserve_backtrace (__main__.TestMultithreadAutograd) ... ok (0.001s)
2023-01-11T22:00:33.5310768Z   test_python_thread_in_middle (__main__.TestMultithreadAutograd) ... ok (0.021s)
2023-01-11T22:00:33.5311078Z   test_simple_backward (__main__.TestMultithreadAutograd) ... ok (0.006s)
2023-01-11T22:00:33.5311395Z   test_simple_backward_same_input (__main__.TestMultithreadAutograd) ... ok (0.009s)
2023-01-11T22:00:33.5311565Z 
2023-01-11T22:00:33.5311806Z ----------------------------------------------------------------------
2023-01-11T22:00:33.5312050Z Ran 543 tests in 17.359s
2023-01-11T22:00:33.5312166Z 
2023-01-11T22:00:33.5312259Z OK (skipped=24, expected failures=1)
2023-01-11T22:00:33.5312390Z 
2023-01-11T22:00:33.5312461Z Generating XML reports...
2023-01-11T22:00:33.5312904Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20230111220015.xml
2023-01-11T22:00:33.5313421Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutograd-20230111220015.xml
2023-01-11T22:00:33.5314040Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20230111220015.xml
2023-01-11T22:00:33.5314610Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradDeviceTypeCPU-20230111220015.xml
2023-01-11T22:00:33.5315160Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20230111220015.xml
2023-01-11T22:00:33.5315739Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20230111220015.xml
2023-01-11T22:00:33.5316367Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20230111220015.xml
2023-01-11T22:00:33.5316975Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20230111220015.xml
2023-01-11T22:00:33.5317550Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradMultipleDispatchCPU-20230111220015.xml
2023-01-11T22:00:33.5318109Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20230111220015.xml
2023-01-11T22:00:33.5318350Z 
2023-01-11T22:00:33.5318690Z ##[endgroup]
2023-01-11T22:00:33.5319065Z FINISHED PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_jygz9ibl)
2023-01-11T22:00:33.5319277Z 
2023-01-11T22:00:33.5319454Z Running test_torch ... [2023-01-11 22:00:33.490697]
2023-01-11T22:00:33.5319899Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:00:33.491060]
2023-01-11T22:00:48.1222886Z 
2023-01-11T22:00:48.1223479Z Expand the folded group to see the log file of test_torch
2023-01-11T22:00:48.1224527Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_75snjygy)
2023-01-11T22:00:48.1225436Z Test results will be stored in test-reports/python-unittest/test_torch
2023-01-11T22:00:48.1225666Z 
2023-01-11T22:00:48.1225763Z Running tests...
2023-01-11T22:00:48.1226165Z ----------------------------------------------------------------------
2023-01-11T22:00:48.1226580Z   test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s)
2023-01-11T22:00:48.1227060Z   test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.001s)
2023-01-11T22:00:48.1227554Z   test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s)
2023-01-11T22:00:48.1227948Z   test_RNGState (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1228352Z   test_RNGStateAliasing (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1233145Z   test_RNG_after_pickle (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1233591Z   test_Size (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1234030Z   test_Size_iter (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1234410Z   test_Size_scalar (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1234755Z   test_add_meta_scalar (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1235123Z   test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.000s)
2023-01-11T22:00:48.1235535Z   test_apply (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1237289Z   test_as_subclass (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1237671Z   test_assert_async (__main__.TestTorch) ... ok (0.017s)
2023-01-11T22:00:48.1238175Z   test_backward_hooks_traverse (__main__.TestTorch) ... ok (0.059s)
2023-01-11T22:00:48.1238656Z   test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1239687Z   test_bmm_multithreaded (__main__.TestTorch) ... test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1240743Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1241558Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1248373Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1249597Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1250367Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1251148Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1251746Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1252405Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1252998Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1253662Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1254291Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1254914Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1255508Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1256142Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1256730Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1257448Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1258076Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1258751Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1259358Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1259959Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1260547Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1261164Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1261753Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1262369Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1262944Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1263563Z test_torch.py:8590: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1282863Z   torch.bmm(b1, b2, out=res2)
2023-01-11T22:00:48.1283127Z ok (0.632s)
2023-01-11T22:00:48.1283593Z   test_boxMullerState (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1284954Z   test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s)
2023-01-11T22:00:48.1285327Z   test_cat_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1285854Z   test_chunk_neg_dim (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1286189Z   test_conj_neg_tolist (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1286515Z   test_contains (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1286835Z   test_copy_broadcast (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1287166Z   test_copy_dtypes (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1287500Z   test_copy_float16 (__main__.TestTorch) ... ok (0.084s)
2023-01-11T22:00:48.1287819Z   test_copy_many_to_one (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1288764Z   test_copy_transpose (__main__.TestTorch) ... test_torch.py:7754: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2023-01-11T22:00:48.1289434Z   x = torch.arange(100 * 100).reshape(100, 100).to(dtype=torch.complex32).t()
2023-01-11T22:00:48.1289733Z ok (0.004s)
2023-01-11T22:00:48.1290130Z   test_cuda_not_built (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1290465Z   test_cummax_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1290793Z   test_cummin_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1291117Z   test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1291505Z   test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1291954Z   test_cxx_flags (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1293276Z   test_dead_weak_ref (__main__.TestTorch) ... [W python_variable.cpp:319] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2023-01-11T22:00:48.1293910Z ok (0.003s)
2023-01-11T22:00:48.1294200Z   test_deepcopy_gradient (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1294560Z   test_deepcopy_parameter (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1294912Z   test_deterministic_flag (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1295227Z   test_device (__main__.TestTorch) ... ok (0.014s)
2023-01-11T22:00:48.1295535Z   test_dir (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1295839Z   test_doc (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1296126Z   test_doc_template (__main__.TestTorch)
2023-01-11T22:00:48.1296507Z Test that all public API doc strings use the same standard template for ... ok (0.019s)
2023-01-11T22:00:48.1296924Z   test_dot_data_use (__main__.TestTorch) ... ok (0.012s)
2023-01-11T22:00:48.1297269Z   test_dtype_is_signed (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1298160Z   test_element_size (__main__.TestTorch) ... test_torch.py:5939: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1298954Z   byte = torch.ByteStorage().element_size()
2023-01-11T22:00:48.1299739Z test_torch.py:5940: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1300568Z   char = torch.CharStorage().element_size()
2023-01-11T22:00:48.1301449Z test_torch.py:5941: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1302305Z   short = torch.ShortStorage().element_size()
2023-01-11T22:00:48.1303122Z test_torch.py:5942: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1303879Z   int = torch.IntStorage().element_size()
2023-01-11T22:00:48.1304730Z test_torch.py:5943: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1305470Z   long = torch.LongStorage().element_size()
2023-01-11T22:00:48.1306241Z test_torch.py:5944: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1306912Z   float = torch.FloatStorage().element_size()
2023-01-11T22:00:48.1307610Z test_torch.py:5945: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1308403Z   double = torch.DoubleStorage().element_size()
2023-01-11T22:00:48.1309270Z test_torch.py:5946: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1309919Z   bool = torch.BoolStorage().element_size()
2023-01-11T22:00:48.1310620Z test_torch.py:5947: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1311309Z   bfloat16 = torch.BFloat16Storage().element_size()
2023-01-11T22:00:48.1312082Z test_torch.py:5948: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1312909Z   complexfloat = torch.ComplexFloatStorage().element_size()
2023-01-11T22:00:48.1313715Z test_torch.py:5949: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1314494Z   complexdouble = torch.ComplexDoubleStorage().element_size()
2023-01-11T22:00:48.1314799Z ok (0.003s)
2023-01-11T22:00:48.1315059Z   test_empty_meta (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1315399Z   test_empty_storage_view (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1315736Z   test_equal (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1316081Z   test_error_msg_type_translation (__main__.TestTorch) ... ok (0.011s)
2023-01-11T22:00:48.1316440Z   test_fill_diagonal (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1316790Z   test_fix_weakref_no_leak (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1317126Z   test_format_scalar_meta (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1317959Z   test_from_buffer (__main__.TestTorch) ... test_torch.py:6322: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1325274Z   self.assertEqual(torch.ByteStorage.from_buffer(a).tolist(), [1, 2, 3, 4])
2023-01-11T22:00:48.1342150Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:675: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1343181Z   return list(self)
2023-01-11T22:00:48.1344054Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:649: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1344601Z   return iter(map(lambda i: self[i], range(self.size())))
2023-01-11T22:00:48.1345120Z test_torch.py:6323: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1345723Z   shorts = torch.ShortStorage.from_buffer(a, 'big')
2023-01-11T22:00:48.1346228Z test_torch.py:6324: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1346702Z   self.assertEqual(shorts.size(), 2)
2023-01-11T22:00:48.1347202Z test_torch.py:6325: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1347684Z   self.assertEqual(shorts.tolist(), [258, 772])
2023-01-11T22:00:48.1348172Z test_torch.py:6326: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1348713Z   ints = torch.IntStorage.from_buffer(a, 'little')
2023-01-11T22:00:48.1349223Z test_torch.py:6327: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1349689Z   self.assertEqual(ints.size(), 1)
2023-01-11T22:00:48.1350185Z test_torch.py:6328: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1350641Z   self.assertEqual(ints[0], 67305985)
2023-01-11T22:00:48.1351129Z test_torch.py:6330: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1351660Z   floats = torch.FloatStorage.from_buffer(f, 'big')
2023-01-11T22:00:48.1352164Z test_torch.py:6331: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1352620Z   self.assertEqual(floats.size(), 1)
2023-01-11T22:00:48.1353116Z test_torch.py:6332: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1353575Z   self.assertEqual(floats[0], 2.25)
2023-01-11T22:00:48.1354206Z test_torch.py:6335: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1354744Z   bools = torch.BoolStorage.from_buffer(f, 'big')
2023-01-11T22:00:48.1355239Z test_torch.py:6336: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1355734Z   self.assertEqual(bools.size(), 8)
2023-01-11T22:00:48.1356227Z test_torch.py:6337: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1356750Z   self.assertEqual(bools.tolist(), [False, True, True, True, True, True, True, True])
2023-01-11T22:00:48.1357287Z test_torch.py:6338: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1357816Z   self.assertEqual(bools.type(), 'torch.BoolStorage')
2023-01-11T22:00:48.1358591Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:959: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1359151Z   if self.device.type not in ['cpu', 'cuda']:
2023-01-11T22:00:48.1359905Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:962: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1360489Z   module = torch if self.device.type == 'cpu' else torch.cuda
2023-01-11T22:00:48.1361530Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:978: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1362513Z   return (cls_device == instance.device.type) and (cls.dtype == instance.dtype)
2023-01-11T22:00:48.1363328Z /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1364001Z   return self.fget.__get__(instance, owner)()
2023-01-11T22:00:48.1364508Z test_torch.py:6342: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1365036Z   bools = torch.BoolStorage.from_buffer(f, 'big')
2023-01-11T22:00:48.1365543Z test_torch.py:6343: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1366086Z   self.assertEqual(bools.size(), 19)
2023-01-11T22:00:48.1366586Z test_torch.py:6346: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1367112Z   bools = torch.BoolStorage.from_buffer(f, 'big')
2023-01-11T22:00:48.1367646Z test_torch.py:6347: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1368112Z   self.assertEqual(bools.size(), 4)
2023-01-11T22:00:48.1368606Z test_torch.py:6348: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1369105Z   self.assertEqual(bools.tolist(), [False, True, True, True])
2023-01-11T22:00:48.1369601Z test_torch.py:6349: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1370078Z   bytes = torch.ByteStorage.from_buffer(a)
2023-01-11T22:00:48.1370580Z test_torch.py:6350: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1371046Z   self.assertEqual(bytes.nbytes(), 4)
2023-01-11T22:00:48.1371536Z test_torch.py:6351: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1371998Z   self.assertEqual(bytes.tolist(), [1, 2, 3, 4])
2023-01-11T22:00:48.1372198Z ok (0.004s)
2023-01-11T22:00:48.1372704Z   test_from_file (__main__.TestTorch) ... test_torch.py:6663: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1373232Z   s1 = torch.FloatStorage.from_file(filename, True, size)
2023-01-11T22:00:48.1374002Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:899: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1374530Z   storage = cls(wrap_storage=untyped_storage)
2023-01-11T22:00:48.1375025Z test_torch.py:6665: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1375534Z   self.assertEqual(s1.data_ptr(), torch.FloatTensor(s1).data_ptr())
2023-01-11T22:00:48.1376088Z test_torch.py:6668: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1376575Z   s2 = torch.FloatStorage.from_file(filename, True, size)
2023-01-11T22:00:48.1376791Z ok (0.007s)
2023-01-11T22:00:48.1377001Z   test_gather_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1377240Z   test_generator_cpu (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1377553Z   test_has_internal_overlap (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1378105Z   test_has_storage (__main__.TestTorch) ... test_torch.py:7615: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1378626Z   self.assertIsNotNone(torch.tensor([]).storage())
2023-01-11T22:00:48.1379140Z test_torch.py:7616: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1379614Z   self.assertIsNotNone(torch.empty(0).storage())
2023-01-11T22:00:48.1380122Z test_torch.py:7617: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1380616Z   self.assertIsNotNone(torch.tensor([]).clone().storage())
2023-01-11T22:00:48.1381132Z test_torch.py:7618: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1381628Z   self.assertIsNotNone(torch.tensor([0, 0, 0]).nonzero().storage())
2023-01-11T22:00:48.1382145Z test_torch.py:7619: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1382638Z   self.assertIsNotNone(torch.tensor([]).new().storage())
2023-01-11T22:00:48.1382849Z ok (0.001s)
2023-01-11T22:00:48.1383038Z   test_index_add (__main__.TestTorch) ... ok (0.018s)
2023-01-11T22:00:48.1383293Z   test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.005s)
2023-01-11T22:00:48.1384142Z   test_index_add_correctness (__main__.TestTorch) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/91184 for platform(s) linux, rocm, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2023-01-11T22:00:48.1384697Z   test_index_add_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1384944Z   test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1385201Z   test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1385454Z   test_index_select_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1385723Z   test_invalid_generator_raises (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1385968Z   test_is_nonzero (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1386465Z   test_is_same_size (__main__.TestTorch) ... test_torch.py:5821: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T22:00:48.1386949Z   nt1 = torch.nested.nested_tensor([torch.ones(2, 4), torch.ones(3, 4), torch.ones(5, 4)])
2023-01-11T22:00:48.1387186Z ok (0.006s)
2023-01-11T22:00:48.1387370Z   test_iter (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1387611Z   test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1387870Z   test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1388144Z   test_manual_seed (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1388376Z   test_map (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1388602Z   test_map2 (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1388823Z   test_max_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1389062Z   test_mean_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1389306Z   test_median_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1389540Z   test_memory_format (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1389847Z   test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1390154Z   test_memory_format_empty (__main__.TestTorch) ... ok (0.010s)
2023-01-11T22:00:48.1390403Z   test_min_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1390630Z   test_mode_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1390957Z   test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1391285Z   test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1391524Z   test_narrow_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1391757Z   test_ndim (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1392294Z   test_new (__main__.TestTorch) ... test_torch.py:7016: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1392821Z   self.assertEqual(x.new(y.storage()).data_ptr(), y.data_ptr())
2023-01-11T22:00:48.1393323Z test_torch.py:7022: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1393828Z   self.assertRaises(RuntimeError, lambda: x.new(z.storage()))
2023-01-11T22:00:48.1394132Z ok (0.005s)
2023-01-11T22:00:48.1394355Z   test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1394601Z   test_newindex (__main__.TestTorch) ... ok (0.010s)
2023-01-11T22:00:48.1394853Z   test_no_cuda_monkeypatch (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1395110Z   test_norm_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1395340Z   test_normal_shape (__main__.TestTorch) ... ok (0.026s)
2023-01-11T22:00:48.1395574Z   test_numel (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1395812Z   test_parallel_info (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1396061Z   test_parsing_double (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1396295Z   test_parsing_int64 (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1396543Z   test_parsing_intlist (__main__.TestTorch) ... ok (0.012s)
2023-01-11T22:00:48.1396784Z   test_permute (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1397004Z   test_pickle (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1397243Z   test_pickle_dtype (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1397492Z   test_pickle_function (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1397736Z   test_pickle_parameter (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1398044Z   test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1398315Z   test_pickle_size (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1398543Z   test_pin_memory (__main__.TestTorch) ... ok (0.007s)
2023-01-11T22:00:48.1398779Z   test_print (__main__.TestTorch) ... ok (0.041s)
2023-01-11T22:00:48.1399017Z   test_prod_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1399298Z   test_pyobj_preserved (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1399528Z   test_qengine (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1399772Z   test_renorm_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1400027Z   test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1400265Z   test_reversed (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1400509Z   test_scatter_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1400758Z   test_select_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1401036Z   test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.001s)
2023-01-11T22:00:48.1401343Z   test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1401605Z   test_show_config (__main__.TestTorch) ... ok (0.000s)
2023-01-11T22:00:48.1401849Z   test_size_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1402387Z   test_sizeof (__main__.TestTorch) ... test_torch.py:6980: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1402904Z   sizeof_empty = torch.randn(0).storage().__sizeof__()
2023-01-11T22:00:48.1403925Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:665: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1404480Z   return super(TypedStorage, self).__sizeof__() + self.nbytes()
2023-01-11T22:00:48.1405001Z test_torch.py:6981: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1405473Z   sizeof_10 = torch.randn(10).storage().__sizeof__()
2023-01-11T22:00:48.1405976Z test_torch.py:6982: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1406453Z   sizeof_100 = torch.randn(100).storage().__sizeof__()
2023-01-11T22:00:48.1406952Z test_torch.py:6986: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1407450Z   sizeof_empty = torch.randn(0).to(torch.uint8).storage().__sizeof__()
2023-01-11T22:00:48.1407961Z test_torch.py:6987: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1408464Z   sizeof_10 = torch.randn(10).to(torch.uint8).storage().__sizeof__()
2023-01-11T22:00:48.1409035Z test_torch.py:6988: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1409535Z   sizeof_100 = torch.randn(100).to(torch.uint8).storage().__sizeof__()
2023-01-11T22:00:48.1409779Z ok (0.002s)
2023-01-11T22:00:48.1409978Z   test_slice (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1410288Z   test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s)
2023-01-11T22:00:48.1410589Z   test_sobolengine_bounds (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1410864Z   test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.007s)
2023-01-11T22:00:48.1411144Z   test_sobolengine_continuing (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1411432Z   test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1411708Z   test_sobolengine_distribution (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1411996Z   test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1412274Z   test_sobolengine_draw (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1412523Z   test_sobolengine_draw_base2 (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1412807Z   test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1413086Z   test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1426093Z   test_sobolengine_fast_forward (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1426388Z   test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1426681Z   test_sobolengine_first_point (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1426948Z   test_sobolengine_high_dim (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1427212Z   test_sobolengine_raise (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1427466Z   test_sobolengine_reset (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1427726Z   test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1427984Z   test_sort_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1428225Z   test_split_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1428468Z   test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1428695Z   test_std_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1429243Z   test_storage_casts (__main__.TestTorch) ... test_torch.py:6470: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1429868Z   storage = torch.IntStorage([-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1430374Z test_torch.py:6471: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1430836Z   self.assertEqual(storage.size(), 6)
2023-01-11T22:00:48.1431334Z test_torch.py:6472: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1431868Z   self.assertEqual(storage.tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1432746Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:675: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1433244Z   return list(self)
2023-01-11T22:00:48.1434035Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:649: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1434629Z   return iter(map(lambda i: self[i], range(self.size())))
2023-01-11T22:00:48.1435142Z test_torch.py:6473: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1435694Z   self.assertEqual(storage.type(), 'torch.IntStorage')
2023-01-11T22:00:48.1436459Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:959: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1437025Z   if self.device.type not in ['cpu', 'cuda']:
2023-01-11T22:00:48.1437780Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:962: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1438376Z   module = torch if self.device.type == 'cpu' else torch.cuda
2023-01-11T22:00:48.1438895Z test_torch.py:6476: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1439346Z   floatStorage = storage.float()
2023-01-11T22:00:48.1440090Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:808: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1440674Z   storage = torch.tensor([], dtype=self.dtype, device=self.device).set_(self).to(dtype)._typed_storage()
2023-01-11T22:00:48.1441484Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:809: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1441992Z   if storage.data_ptr() == self.data_ptr():
2023-01-11T22:00:48.1442483Z test_torch.py:6477: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1442964Z   self.assertEqual(floatStorage.size(), 6)
2023-01-11T22:00:48.1443664Z test_torch.py:6478: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1444227Z   self.assertEqual(floatStorage.tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1444746Z test_torch.py:6479: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1445339Z   self.assertEqual(floatStorage.type(), 'torch.FloatStorage')
2023-01-11T22:00:48.1445861Z test_torch.py:6480: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1446420Z   self.assertEqual(floatStorage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1446939Z test_torch.py:6483: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1447398Z   halfStorage = storage.half()
2023-01-11T22:00:48.1447873Z test_torch.py:6484: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1448348Z   self.assertEqual(halfStorage.size(), 6)
2023-01-11T22:00:48.1448845Z test_torch.py:6485: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1449391Z   self.assertEqual(halfStorage.tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1449885Z test_torch.py:6486: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1450438Z   self.assertEqual(halfStorage.type(), 'torch.HalfStorage')
2023-01-11T22:00:48.1450963Z test_torch.py:6487: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1451512Z   self.assertEqual(halfStorage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1452027Z test_torch.py:6490: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1452485Z   bfloat16Storage = storage.bfloat16()
2023-01-11T22:00:48.1452973Z test_torch.py:6491: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1453457Z   self.assertEqual(bfloat16Storage.size(), 6)
2023-01-11T22:00:48.1453984Z test_torch.py:6492: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1454542Z   self.assertEqual(bfloat16Storage.tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1455048Z test_torch.py:6493: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1455643Z   self.assertEqual(bfloat16Storage.type(), 'torch.BFloat16Storage')
2023-01-11T22:00:48.1456170Z test_torch.py:6494: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1456731Z   self.assertEqual(bfloat16Storage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1457232Z test_torch.py:6497: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1457682Z   longStorage = storage.long()
2023-01-11T22:00:48.1458163Z test_torch.py:6498: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1458638Z   self.assertEqual(longStorage.size(), 6)
2023-01-11T22:00:48.1459137Z test_torch.py:6499: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1459666Z   self.assertEqual(longStorage.tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1460169Z test_torch.py:6500: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1460720Z   self.assertEqual(longStorage.type(), 'torch.LongStorage')
2023-01-11T22:00:48.1461244Z test_torch.py:6501: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1461789Z   self.assertEqual(longStorage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1462294Z test_torch.py:6504: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1462756Z   shortStorage = storage.short()
2023-01-11T22:00:48.1463240Z test_torch.py:6505: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1463706Z   self.assertEqual(shortStorage.size(), 6)
2023-01-11T22:00:48.1464216Z test_torch.py:6506: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1464766Z   self.assertEqual(shortStorage.tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1465275Z test_torch.py:6507: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1465862Z   self.assertEqual(shortStorage.type(), 'torch.ShortStorage')
2023-01-11T22:00:48.1466381Z test_torch.py:6508: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1466920Z   self.assertEqual(shortStorage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1467431Z test_torch.py:6511: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1467891Z   doubleStorage = storage.double()
2023-01-11T22:00:48.1468380Z test_torch.py:6512: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1468857Z   self.assertEqual(doubleStorage.size(), 6)
2023-01-11T22:00:48.1469344Z test_torch.py:6513: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1469907Z   self.assertEqual(doubleStorage.tolist(), [-1.0, 0.0, 1.0, 2.0, 3.0, 4.0])
2023-01-11T22:00:48.1470430Z test_torch.py:6514: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1470987Z   self.assertEqual(doubleStorage.type(), 'torch.DoubleStorage')
2023-01-11T22:00:48.1471505Z test_torch.py:6515: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1472059Z   self.assertEqual(doubleStorage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1472573Z test_torch.py:6518: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1473027Z   charStorage = storage.char()
2023-01-11T22:00:48.1473508Z test_torch.py:6519: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1474042Z   self.assertEqual(charStorage.size(), 6)
2023-01-11T22:00:48.1474583Z test_torch.py:6520: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1475150Z   self.assertEqual(charStorage.tolist(), [-1.0, 0.0, 1.0, 2.0, 3.0, 4.0])
2023-01-11T22:00:48.1475702Z test_torch.py:6521: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1476258Z   self.assertEqual(charStorage.type(), 'torch.CharStorage')
2023-01-11T22:00:48.1476761Z test_torch.py:6522: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1477303Z   self.assertEqual(charStorage.int().tolist(), [-1, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1477818Z test_torch.py:6525: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1478274Z   byteStorage = storage.byte()
2023-01-11T22:00:48.1478738Z test_torch.py:6526: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1479211Z   self.assertEqual(byteStorage.size(), 6)
2023-01-11T22:00:48.1479701Z test_torch.py:6527: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1480193Z   self.assertEqual(byteStorage.tolist(), [255, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1480703Z test_torch.py:6528: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1481236Z   self.assertEqual(byteStorage.type(), 'torch.ByteStorage')
2023-01-11T22:00:48.1481753Z test_torch.py:6529: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1482239Z   self.assertEqual(byteStorage.int().tolist(), [255, 0, 1, 2, 3, 4])
2023-01-11T22:00:48.1482750Z test_torch.py:6532: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1483206Z   boolStorage = storage.bool()
2023-01-11T22:00:48.1483836Z test_torch.py:6533: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1484366Z   self.assertEqual(boolStorage.size(), 6)
2023-01-11T22:00:48.1484870Z test_torch.py:6534: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1485435Z   self.assertEqual(boolStorage.tolist(), [True, False, True, True, True, True])
2023-01-11T22:00:48.1485972Z test_torch.py:6535: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1486515Z   self.assertEqual(boolStorage.type(), 'torch.BoolStorage')
2023-01-11T22:00:48.1487030Z test_torch.py:6536: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1487519Z   self.assertEqual(boolStorage.int().tolist(), [1, 0, 1, 1, 1, 1])
2023-01-11T22:00:48.1488032Z test_torch.py:6539: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1488636Z   complexfloat_storage = torch.ComplexFloatStorage([-1, 0, 1 + 2j, 2.5j, 3.5, 4 - 2j])
2023-01-11T22:00:48.1489244Z test_torch.py:6540: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1489733Z   self.assertEqual(complexfloat_storage.size(), 6)
2023-01-11T22:00:48.1490242Z test_torch.py:6541: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1490826Z   self.assertEqual(complexfloat_storage.tolist(), [-1, 0, 1 + 2j, 2.5j, 3.5, 4 - 2j])
2023-01-11T22:00:48.1491343Z test_torch.py:6542: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1491931Z   self.assertEqual(complexfloat_storage.type(), 'torch.ComplexFloatStorage')
2023-01-11T22:00:48.1492468Z test_torch.py:6545: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1492969Z   complexdouble_storage = complexfloat_storage.complex_double()
2023-01-11T22:00:48.1493488Z test_torch.py:6546: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1493965Z   self.assertEqual(complexdouble_storage.size(), 6)
2023-01-11T22:00:48.1494508Z test_torch.py:6547: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1495087Z   self.assertEqual(complexdouble_storage.tolist(), [-1, 0, 1 + 2j, 2.5j, 3.5, 4 - 2j])
2023-01-11T22:00:48.1495611Z test_torch.py:6548: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1496232Z   self.assertEqual(complexdouble_storage.type(), 'torch.ComplexDoubleStorage')
2023-01-11T22:00:48.1496470Z ok (0.012s)
2023-01-11T22:00:48.1497043Z   test_storage_error (__main__.TestTorch) ... test_torch.py:6364: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1497548Z   torch.storage._LegacyStorage()
2023-01-11T22:00:48.1498301Z /opt/conda/lib/python3.7/site-packages/torch/_utils.py:768: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1498807Z   return self.fget.__get__(instance, owner)()
2023-01-11T22:00:48.1499306Z test_torch.py:6378: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1499799Z   storage_class(device='cpu')
2023-01-11T22:00:48.1500274Z test_torch.py:6381: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1500739Z   storage_class(dtype=torch.float)
2023-01-11T22:00:48.1501217Z test_torch.py:6387: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1501661Z   storage_class(0, 0)
2023-01-11T22:00:48.1502135Z test_torch.py:6390: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1502607Z   storage_class('string')
2023-01-11T22:00:48.1503063Z test_torch.py:6393: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1503519Z   storage_class(torch.tensor([]))
2023-01-11T22:00:48.1504004Z test_torch.py:6395: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1504443Z   s = storage_class()
2023-01-11T22:00:48.1504957Z test_torch.py:6398: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1505417Z   storage_class(0, wrap_storage=s.untyped())
2023-01-11T22:00:48.1505905Z test_torch.py:6401: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1506385Z   storage_class(wrap_storage=s)
2023-01-11T22:00:48.1506866Z test_torch.py:6420: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1507355Z   torch.TypedStorage(0, wrap_storage=s.untyped(), dtype=dtype)
2023-01-11T22:00:48.1507875Z test_torch.py:6423: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1508356Z   torch.TypedStorage(wrap_storage=s.untyped())
2023-01-11T22:00:48.1508857Z test_torch.py:6426: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1509346Z   torch.TypedStorage(wrap_storage=s.untyped(), dtype=0)
2023-01-11T22:00:48.1509846Z test_torch.py:6429: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1510355Z   torch.TypedStorage(wrap_storage=s.untyped(), dtype=dtype, device=device)
2023-01-11T22:00:48.1510883Z test_torch.py:6432: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1511354Z   torch.TypedStorage(wrap_storage=s, dtype=dtype)
2023-01-11T22:00:48.1511860Z test_torch.py:6435: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1512366Z   torch.TypedStorage(dtype=dtype, device='xla')
2023-01-11T22:00:48.1512871Z test_torch.py:6443: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1513371Z   torch.TypedStorage(torch.tensor([]), dtype=dtype, device=device)
2023-01-11T22:00:48.1513889Z test_torch.py:6446: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1514461Z   torch.TypedStorage(0, 0, dtype=dtype, device=device)
2023-01-11T22:00:48.1514968Z test_torch.py:6449: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1515469Z   s_other = torch.TypedStorage([1, 2, 3, 4], device=device, dtype=dtype)
2023-01-11T22:00:48.1516030Z test_torch.py:6452: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1516463Z   s.fill_(s_other)
2023-01-11T22:00:48.1516617Z ok (0.034s)
2023-01-11T22:00:48.1517137Z   test_storage_error_no_attribute (__main__.TestTorch) ... test_torch.py:6461: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1517641Z   storage_class.from_buffer()
2023-01-11T22:00:48.1517821Z ok (0.001s)
2023-01-11T22:00:48.1518017Z   test_structseq_repr (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1518281Z   test_subclass_preserved (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1518536Z   test_subclass_tensors (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1518769Z   test_sum_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1519011Z   test_t_not_2d_error (__main__.TestTorch) ... ok (0.009s)
2023-01-11T22:00:48.1519256Z   test_tensor_base_init (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1519494Z   test_tensor_base_new (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1519749Z   test_tensor_ctor_scalar (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1520005Z   test_tensor_cycle_via_dict (__main__.TestTorch) ... ok (0.104s)
2023-01-11T22:00:48.1520271Z   test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.049s)
2023-01-11T22:00:48.1520519Z   test_tensor_dict_dealloc (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1520786Z   test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1521347Z   test_tensor_set (__main__.TestTorch) ... test_torch.py:5839: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1521882Z   self.assertEqual(t1.storage()._cdata, t2.storage()._cdata)
2023-01-11T22:00:48.1522389Z test_torch.py:5841: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1522842Z   t1.set_(t2.storage(), 0, size)
2023-01-11T22:00:48.1523323Z test_torch.py:5843: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1523885Z   t1.set_(t2.storage(), 0, tuple(size))
2023-01-11T22:00:48.1524360Z test_torch.py:5847: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1524879Z   t1.set_(t2.storage(), 0, size, stride)
2023-01-11T22:00:48.1525365Z test_torch.py:5849: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1525876Z   t1.set_(t2.storage(), 0, size=size, stride=stride)
2023-01-11T22:00:48.1526378Z test_torch.py:5857: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1526858Z   self.assertEqual(t1.storage()._cdata, t2.storage()._cdata)
2023-01-11T22:00:48.1527368Z test_torch.py:5859: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1527812Z   t1.set_(source=t2.storage())
2023-01-11T22:00:48.1528289Z test_torch.py:5860: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1528766Z   self.assertEqual(t1.storage()._cdata, t2.storage()._cdata)
2023-01-11T22:00:48.1529273Z test_torch.py:5862: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1529770Z   t1.set_(source=t2.storage(), storage_offset=0, size=size, stride=stride)
2023-01-11T22:00:48.1530292Z test_torch.py:5869: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1530784Z   self.assertEqual(t1.storage()._cdata, t2.storage()._cdata)
2023-01-11T22:00:48.1530980Z ok (0.003s)
2023-01-11T22:00:48.1531488Z   test_tensor_set_errors (__main__.TestTorch) ... test_torch.py:5876: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1532044Z   self.assertRaises(RuntimeError, lambda: f_cpu.set_(d_cpu.storage()))
2023-01-11T22:00:48.1532581Z test_torch.py:5878: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1533084Z   lambda: f_cpu.set_(d_cpu.storage(), 0, d_cpu.size(), d_cpu.stride()))
2023-01-11T22:00:48.1533296Z ok (0.004s)
2023-01-11T22:00:48.1533509Z   test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1533772Z   test_tensor_weakref_dealloc (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1534035Z   test_tensoriterator_output_setup (__main__.TestTorch) ... ok (0.134s)
2023-01-11T22:00:48.1534287Z   test_to (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1534520Z   test_to_with_tensor (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1534751Z   test_topk_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1535030Z   test_torch_from_file (__main__.TestTorch) ... ok (0.006s)
2023-01-11T22:00:48.1535281Z   test_transpose_neg_dim (__main__.TestTorch) ... ok (0.004s)
2023-01-11T22:00:48.1535522Z   test_type (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1535753Z   test_type_alias (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1536018Z   test_type_conversion_via_dtype_name (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1536647Z   test_typed_storage_deprecation_warning (__main__.TestTorch) ... test_torch.py:6624: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1537168Z   s0 = torch.FloatStorage(10)
2023-01-11T22:00:48.1537339Z ok (0.002s)
2023-01-11T22:00:48.1537861Z   test_typed_storage_internal_no_warning (__main__.TestTorch) ... test_torch.py:6554: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1538371Z   s0 = torch.FloatStorage(10)
2023-01-11T22:00:48.1538858Z test_torch.py:6555: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1539299Z   s0_untyped = s0.untyped()
2023-01-11T22:00:48.1539476Z ok (0.003s)
2023-01-11T22:00:48.1539681Z   test_unbind_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1539916Z   test_unflatten (__main__.TestTorch) ... ok (0.022s)
2023-01-11T22:00:48.1540160Z   test_unfold_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1540411Z   test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.003s)
2023-01-11T22:00:48.1540665Z   test_upsample_nearest1d_meta (__main__.TestTorch) ... ok (0.011s)
2023-01-11T22:00:48.1540938Z   test_upsample_nearest2d_meta (__main__.TestTorch) ... ok (0.014s)
2023-01-11T22:00:48.1541192Z   test_var_neg_dim (__main__.TestTorch) ... ok (0.002s)
2023-01-11T22:00:48.1541432Z   test_warn_types (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1541668Z   test_wildcard_import (__main__.TestTorch) ... ok (0.001s)
2023-01-11T22:00:48.1541956Z   test_addcdiv_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1542277Z   test_addcdiv_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1542579Z   test_addcdiv_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1542930Z   test_addcdiv_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1543232Z   test_addcdiv_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1543532Z   test_addcdiv_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1543815Z   test_addcdiv_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1544113Z   test_addcdiv_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1544411Z   test_addcdiv_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1544704Z   test_addcmul_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1545017Z   test_addcmul_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1545324Z   test_addcmul_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1545616Z   test_addcmul_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1545954Z   test_addcmul_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1546253Z   test_addcmul_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1546545Z   test_addcmul_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1546824Z   test_addcmul_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1547124Z   test_addcmul_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1547495Z   test_assertRaisesRegex_ignore_msg_non_native_device_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1547924Z   test_bernoulli_edge_cases_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1548371Z   test_bernoulli_edge_cases_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1548756Z   test_bernoulli_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s)
2023-01-11T22:00:48.1549076Z   test_bernoulli_p_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1549382Z   test_bernoulli_p_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1549694Z   test_bernoulli_p_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1550004Z   test_bernoulli_self_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1550319Z   test_bernoulli_self_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1550620Z   test_bernoulli_self_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1550933Z   test_bernoulli_self_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1551244Z   test_bernoulli_self_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1551544Z   test_bernoulli_self_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1551856Z   test_bernoulli_self_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1552168Z   test_bernoulli_self_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1552478Z   test_bfloat16_float_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.053s)
2023-01-11T22:00:48.1552783Z   test_bool_tensor_value_change_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1553098Z   test_broadcast_fn_add_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s)
2023-01-11T22:00:48.1553410Z   test_broadcast_fn_addcdiv_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s)
2023-01-11T22:00:48.1553716Z   test_broadcast_fn_addcmul_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s)
2023-01-11T22:00:48.1554104Z   test_broadcast_fn_atan2_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1554419Z   test_broadcast_fn_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1554734Z   test_broadcast_fn_dist_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1555031Z   test_broadcast_fn_div_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1555337Z   test_broadcast_fn_eq_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1555645Z   test_broadcast_fn_fmod_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1555944Z   test_broadcast_fn_ge_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1556251Z   test_broadcast_fn_gt_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1556554Z   test_broadcast_fn_le_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1556858Z   test_broadcast_fn_lerp_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1557152Z   test_broadcast_fn_lt_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1557484Z   test_broadcast_fn_map2_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s)
2023-01-11T22:00:48.1557790Z   test_broadcast_fn_map_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s)
2023-01-11T22:00:48.1558098Z   test_broadcast_fn_masked_fill_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1558430Z   test_broadcast_fn_masked_scatter_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1558760Z   test_broadcast_fn_masked_select_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1559111Z   test_broadcast_fn_max_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1559406Z   test_broadcast_fn_min_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1559710Z   test_broadcast_fn_mul_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1560018Z   test_broadcast_fn_ne_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1560313Z   test_broadcast_fn_pow_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1560626Z   test_broadcast_fn_remainder_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1560941Z   test_broadcast_fn_sub_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1561553Z   test_bytes_to_scalar_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:161: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1562123Z   self.assertEqual(scalar.storage().untyped().tolist(), bytes_list)
2023-01-11T22:00:48.1562345Z ok (0.002s)
2023-01-11T22:00:48.1562599Z   test_bytes_to_scalar_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1562930Z   test_bytes_to_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1563244Z   test_bytes_to_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1563667Z   test_bytes_to_scalar_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1563986Z   test_bytes_to_scalar_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1564287Z   test_bytes_to_scalar_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1564602Z   test_bytes_to_scalar_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1564917Z   test_bytes_to_scalar_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1565233Z   test_bytes_to_scalar_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1565537Z   test_cauchy_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.191s)
2023-01-11T22:00:48.1565860Z   test_cauchy_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1566176Z   test_cauchy_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1566477Z   test_cauchy_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1566862Z   test_cauchy_no_inf_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1567303Z   test_cauchy_no_inf_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1567699Z   test_cdist_cuda_backward_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:48.1568015Z   test_cdist_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1568325Z   test_cdist_euclidean_large_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1568647Z   test_cdist_grad_p_lt_1_no_nan_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1569081Z   test_cdist_large_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1569434Z   test_cdist_large_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.074s)
2023-01-11T22:00:48.1569754Z   test_cdist_non_contiguous_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1570083Z   test_cdist_non_contiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1570419Z   test_cdist_norm_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.256s)
2023-01-11T22:00:48.1570720Z   test_cdist_norm_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.101s)
2023-01-11T22:00:48.1571026Z   test_cdist_same_inputs_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1571349Z   test_clone_all_dtypes_and_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1571662Z   test_clone_not_memory_dense_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1571982Z   test_clone_zero_stride_dim_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1572315Z   test_complex_half_experimental_warning_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1572622Z   test_constants_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1572964Z   test_conv_transposed_backward_agnostic_to_memory_format_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.022s)
2023-01-11T22:00:48.1573341Z   test_conv_transposed_large_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1573850Z   test_copy__cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:5264: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:276.)
2023-01-11T22:00:48.1574228Z   t.copy_(src)
2023-01-11T22:00:48.1574391Z ok (0.003s)
2023-01-11T22:00:48.1574625Z   test_copy__cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1574927Z   test_copy__cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1575224Z   test_copy__cpu_complex32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1575534Z   test_copy__cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1575833Z   test_copy__cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1576122Z   test_copy__cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1576418Z   test_copy__cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1576708Z   test_copy__cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1576991Z   test_copy__cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1577282Z   test_copy__cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1577576Z   test_copy__cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1577868Z   test_copy__cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1578168Z   test_copy_all_dtypes_and_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1578486Z   test_copy_math_view_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1578801Z   test_copy_mem_overlap_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s)
2023-01-11T22:00:48.1579124Z   test_copy_transpose_math_view_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1579469Z   test_copy_transpose_math_view_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1579804Z   test_copy_transpose_math_view_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1580319Z   test_corrcoef_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1944: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.)
2023-01-11T22:00:48.1580738Z   res = torch.corrcoef(x)
2023-01-11T22:00:48.1581155Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:393: RuntimeWarning: Mean of empty slice.
2023-01-11T22:00:48.1581428Z   avg = a.mean(axis)
2023-01-11T22:00:48.1581821Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide
2023-01-11T22:00:48.1582220Z   ret, rcount, out=ret, casting='unsafe', subok=False)
2023-01-11T22:00:48.1582639Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2526: RuntimeWarning: Degrees of freedom <= 0 for slice
2023-01-11T22:00:48.1582915Z   c = cov(x, y, rowvar)
2023-01-11T22:00:48.1583301Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: divide by zero encountered in true_divide
2023-01-11T22:00:48.1583599Z   c *= np.true_divide(1, fact)
2023-01-11T22:00:48.1583999Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: invalid value encountered in multiply
2023-01-11T22:00:48.1584295Z   c *= np.true_divide(1, fact)
2023-01-11T22:00:48.1584461Z ok (0.010s)
2023-01-11T22:00:48.1584700Z   test_corrcoef_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1585008Z   test_corrcoef_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1585459Z   test_cov_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1951: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.)
2023-01-11T22:00:48.1585911Z   res = torch.cov(t, correction=correction, fweights=fweights, aweights=aweights)
2023-01-11T22:00:48.1586215Z test_torch.py:1955: RuntimeWarning: Degrees of freedom <= 0 for slice
2023-01-11T22:00:48.1586503Z   ref = np.cov(t, ddof=correction, fweights=fweights, aweights=aweights)
2023-01-11T22:00:48.1586940Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:425: RuntimeWarning: invalid value encountered in multiply
2023-01-11T22:00:48.1587275Z   avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
2023-01-11T22:00:48.1587487Z ok (0.050s)
2023-01-11T22:00:48.1587707Z   test_cov_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s)
2023-01-11T22:00:48.1588004Z   test_cov_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s)
2023-01-11T22:00:48.1588322Z   test_cpp_warnings_have_python_context_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.138s)
2023-01-11T22:00:48.1588700Z   test_cublas_config_nondeterministic_alert_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:48.1589038Z   test_cummax_cummin_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1589413Z   test_cummax_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1589775Z   test_cummin_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1590069Z   test_cumprod_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1590359Z   test_cumsum_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1590965Z   test_deepcopy_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:385: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1591511Z   q = [a, [a.storage(), b.storage()], b, c]
2023-01-11T22:00:48.1592049Z /opt/conda/lib/python3.7/copy.py:161: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1592516Z   y = copier(memo)
2023-01-11T22:00:48.1593287Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1593841Z   device=typed_storage.device,
2023-01-11T22:00:48.1594410Z test_torch.py:396: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1594874Z   self.assertEqual(w[1][0][i], q[1][0][i] + 1)
2023-01-11T22:00:48.1595378Z test_torch.py:400: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1595902Z   self.assertEqual(w[1][1][i], q[1][1][i] - 1)
2023-01-11T22:00:48.1596093Z ok (0.007s)
2023-01-11T22:00:48.1596325Z   test_deepcopy_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1596654Z   test_deepcopy_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1596986Z   test_deepcopy_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1597341Z   test_device_guard_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.003s)
2023-01-11T22:00:48.1597660Z   test_diff_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.033s)
2023-01-11T22:00:48.1597963Z   test_diff_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s)
2023-01-11T22:00:48.1598266Z   test_diff_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.046s)
2023-01-11T22:00:48.1598553Z   test_diff_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s)
2023-01-11T22:00:48.1598847Z   test_diff_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.040s)
2023-01-11T22:00:48.1599141Z   test_diff_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s)
2023-01-11T22:00:48.1599437Z   test_diff_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s)
2023-01-11T22:00:48.1599716Z   test_diff_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s)
2023-01-11T22:00:48.1600004Z   test_diff_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.030s)
2023-01-11T22:00:48.1600299Z   test_diff_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s)
2023-01-11T22:00:48.1600575Z   test_diff_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.031s)
2023-01-11T22:00:48.1600881Z   test_diff_noncontig_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1601204Z   test_diff_noncontig_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s)
2023-01-11T22:00:48.1601529Z   test_diff_noncontig_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s)
2023-01-11T22:00:48.1601839Z   test_diff_noncontig_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s)
2023-01-11T22:00:48.1602159Z   test_diff_noncontig_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s)
2023-01-11T22:00:48.1602468Z   test_diff_noncontig_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s)
2023-01-11T22:00:48.1602787Z   test_diff_noncontig_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1603092Z   test_diff_noncontig_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1603509Z   test_diff_noncontig_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s)
2023-01-11T22:00:48.1603878Z   test_diff_noncontig_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1604200Z   test_diff_noncontig_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1604499Z   test_dim_function_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s)
2023-01-11T22:00:48.1604823Z   test_discontiguous_out_cumsum_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1605128Z   test_dist_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1605454Z   test_errors_index_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s)
2023-01-11T22:00:48.1605774Z   test_expected_failure_xla_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1606092Z   test_exponential_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1606411Z   test_exponential_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1606716Z   test_exponential_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1607032Z   test_exponential_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1607357Z   test_exponential_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1607680Z   test_exponential_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1608010Z   test_exponential_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1608342Z   test_exponential_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1608695Z   test_exponential_no_zero_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1609058Z   test_exponential_no_zero_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1609420Z   test_gather_backward_deterministic_path_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.519s)
2023-01-11T22:00:48.1609762Z   test_gather_backward_one_dim_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.540s)
2023-01-11T22:00:48.1610072Z   test_geometric_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1610386Z   test_geometric_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1610695Z   test_geometric_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1611004Z   test_geometric_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1611299Z   test_geometric_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1611602Z   test_geometric_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1611903Z   test_geometric_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1612188Z   test_geometric_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1612490Z   test_geometric_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1612811Z   test_geometric_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1613137Z   test_geometric_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1613445Z   test_geometric_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1613762Z   test_geometric_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1614080Z   test_geometric_kstest_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1614384Z   test_geometric_kstest_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1614696Z   test_geometric_kstest_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1615015Z   test_geometric_kstest_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1615331Z   test_geometric_kstest_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1615659Z   test_gradient_all_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.136s)
2023-01-11T22:00:48.1615981Z   test_gradient_all_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.107s)
2023-01-11T22:00:48.1616569Z   test_gradient_all_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1061: RuntimeWarning: divide by zero encountered in true_divide
2023-01-11T22:00:48.1616999Z   a = -(dx2)/(dx1 * (dx1 + dx2))
2023-01-11T22:00:48.1617391Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1062: RuntimeWarning: divide by zero encountered in true_divide
2023-01-11T22:00:48.1617724Z   b = (dx2 - dx1) / (dx1 * dx2)
2023-01-11T22:00:48.1618119Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1063: RuntimeWarning: divide by zero encountered in true_divide
2023-01-11T22:00:48.1618396Z   c = dx1 / (dx2 * (dx1 + dx2))
2023-01-11T22:00:48.1618788Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in add
2023-01-11T22:00:48.1619142Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1619596Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1117: RuntimeWarning: divide by zero encountered in double_scalars
2023-01-11T22:00:48.1619882Z   a = (dx2) / (dx1 * (dx1 + dx2))
2023-01-11T22:00:48.1620290Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1118: RuntimeWarning: divide by zero encountered in double_scalars
2023-01-11T22:00:48.1620617Z   b = - (dx2 + dx1) / (dx1 * dx2)
2023-01-11T22:00:48.1621011Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in double_scalars
2023-01-11T22:00:48.1621371Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1621824Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1100: RuntimeWarning: divide by zero encountered in double_scalars
2023-01-11T22:00:48.1622175Z   a = -(2. * dx1 + dx2)/(dx1 * (dx1 + dx2))
2023-01-11T22:00:48.1622576Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: divide by zero encountered in double_scalars
2023-01-11T22:00:48.1622869Z   b = (dx1 + dx2) / (dx1 * dx2)
2023-01-11T22:00:48.1623254Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in add
2023-01-11T22:00:48.1623608Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1624035Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in add
2023-01-11T22:00:48.1624382Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1624837Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: divide by zero encountered in true_divide
2023-01-11T22:00:48.1625222Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2023-01-11T22:00:48.1625662Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: invalid value encountered in true_divide
2023-01-11T22:00:48.1626054Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2023-01-11T22:00:48.1626493Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in multiply
2023-01-11T22:00:48.1626836Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1627292Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1102: RuntimeWarning: divide by zero encountered in double_scalars
2023-01-11T22:00:48.1627629Z   c = - dx1 / (dx2 * (dx1 + dx2))
2023-01-11T22:00:48.1628048Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in multiply
2023-01-11T22:00:48.1628391Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1628837Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in multiply
2023-01-11T22:00:48.1629187Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1629656Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1119: RuntimeWarning: divide by zero encountered in double_scalars
2023-01-11T22:00:48.1629967Z   c = (2. * dx2 + dx1) / (dx2 * (dx1 + dx2))
2023-01-11T22:00:48.1630379Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: divide by zero encountered in true_divide
2023-01-11T22:00:48.1630773Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2023-01-11T22:00:48.1631201Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: invalid value encountered in true_divide
2023-01-11T22:00:48.1631597Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2023-01-11T22:00:48.1631808Z ok (0.115s)
2023-01-11T22:00:48.1632057Z   test_gradient_extreme_cases_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.077s)
2023-01-11T22:00:48.1632403Z   test_gradient_extreme_cases_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s)
2023-01-11T22:00:48.1632742Z   test_gradient_extreme_cases_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s)
2023-01-11T22:00:48.1633359Z   test_gradient_type_promotion_cpu (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1057: ComplexWarning: Casting complex values to real discards the imaginary part
2023-01-11T22:00:48.1633841Z   out[tuple(slice1)] = (f[tuple(slice4)] - f[tuple(slice2)]) / (2. * ax_dx)
2023-01-11T22:00:48.1634390Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: ComplexWarning: Casting complex values to real discards the imaginary part
2023-01-11T22:00:48.1634803Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0
2023-01-11T22:00:48.1635271Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: ComplexWarning: Casting complex values to real discards the imaginary part
2023-01-11T22:00:48.1635666Z   out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n
2023-01-11T22:00:48.1636690Z /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:679: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:210.)
2023-01-11T22:00:48.1637361Z   return torch.as_tensor(tensor_like)
2023-01-11T22:00:48.1637810Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: ComplexWarning: Casting complex values to real discards the imaginary part
2023-01-11T22:00:48.1638184Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1638649Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: ComplexWarning: Casting complex values to real discards the imaginary part
2023-01-11T22:00:48.1639022Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1639500Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: ComplexWarning: Casting complex values to real discards the imaginary part
2023-01-11T22:00:48.1639875Z   out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)]
2023-01-11T22:00:48.1640089Z ok (0.043s)
2023-01-11T22:00:48.1640325Z   test_hook_remove_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1640676Z   test_index_add_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.090s)
2023-01-11T22:00:48.1640998Z   test_index_add_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s)
2023-01-11T22:00:48.1641318Z   test_index_copy_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1641629Z   test_index_copy_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1641971Z   test_index_copy_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1642276Z   test_index_copy_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1642589Z   test_index_copy_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1642900Z   test_index_copy_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1643197Z   test_index_copy_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1643610Z   test_index_copy_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1643918Z   test_index_copy_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1644224Z   test_index_copy_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1644516Z   test_index_copy_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1644827Z   test_index_copy_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1645149Z   test_index_copy_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (1.365s)
2023-01-11T22:00:48.1645468Z   test_index_copy_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.018s)
2023-01-11T22:00:48.1645800Z   test_index_copy_scalars_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1646136Z   test_index_copy_scalars_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1646475Z   test_index_copy_scalars_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1646802Z   test_index_copy_scalars_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1647138Z   test_index_copy_scalars_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1647583Z   test_index_copy_scalars_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1647916Z   test_index_copy_scalars_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1648227Z   test_index_copy_scalars_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1648547Z   test_index_copy_scalars_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1648861Z   test_index_copy_scalars_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1649164Z   test_index_copy_scalars_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1649485Z   test_index_copy_scalars_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1649803Z   test_index_fill_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1650111Z   test_index_fill_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1650414Z   test_index_fill_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1650732Z   test_index_fill_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1651046Z   test_index_fill_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1651347Z   test_index_fill_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1651653Z   test_index_fill_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1651958Z   test_index_fill_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1652314Z   test_index_fill_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1652613Z   test_index_fill_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1652917Z   test_index_fill_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1653224Z   test_index_fill_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1653525Z   test_index_fill_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1653882Z   test_index_put_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s)
2023-01-11T22:00:48.1654224Z   test_index_put_non_accumulate_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1654789Z   test_index_reduce_reduce_amax_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:2997: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1128.)
2023-01-11T22:00:48.1655292Z   dest.index_reduce_(dim, idx, src, reduce, include_self=include_self)
2023-01-11T22:00:48.1655522Z ok (0.043s)
2023-01-11T22:00:48.1655834Z   test_index_reduce_reduce_amax_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1656162Z   test_index_reduce_reduce_amax_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1656499Z   test_index_reduce_reduce_amax_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1656842Z   test_index_reduce_reduce_amax_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1657175Z   test_index_reduce_reduce_amax_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1657491Z   test_index_reduce_reduce_amax_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1657825Z   test_index_reduce_reduce_amax_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1658268Z   test_index_reduce_reduce_amax_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1658676Z   test_index_reduce_reduce_amin_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1659004Z   test_index_reduce_reduce_amin_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1659340Z   test_index_reduce_reduce_amin_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1659676Z   test_index_reduce_reduce_amin_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1659995Z   test_index_reduce_reduce_amin_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1660324Z   test_index_reduce_reduce_amin_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1660651Z   test_index_reduce_reduce_amin_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1660980Z   test_index_reduce_reduce_amin_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1661300Z   test_index_reduce_reduce_amin_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1661637Z   test_index_reduce_reduce_mean_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s)
2023-01-11T22:00:48.1661973Z   test_index_reduce_reduce_mean_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.049s)
2023-01-11T22:00:48.1662314Z   test_index_reduce_reduce_mean_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s)
2023-01-11T22:00:48.1662635Z   test_index_reduce_reduce_mean_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s)
2023-01-11T22:00:48.1662965Z   test_index_reduce_reduce_mean_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1663297Z   test_index_reduce_reduce_mean_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1663610Z   test_index_reduce_reduce_mean_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s)
2023-01-11T22:00:48.1663988Z   test_index_reduce_reduce_mean_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1664320Z   test_index_reduce_reduce_mean_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1664652Z   test_index_reduce_reduce_prod_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1664982Z   test_index_reduce_reduce_prod_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1665348Z   test_index_reduce_reduce_prod_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s)
2023-01-11T22:00:48.1665684Z   test_index_reduce_reduce_prod_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1666004Z   test_index_reduce_reduce_prod_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1666338Z   test_index_reduce_reduce_prod_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1666673Z   test_index_reduce_reduce_prod_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1667005Z   test_index_reduce_reduce_prod_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s)
2023-01-11T22:00:48.1667325Z   test_index_reduce_reduce_prod_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1667652Z   test_index_select_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1667968Z   test_index_select_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1668269Z   test_index_select_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1668599Z   test_index_select_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1668930Z   test_index_select_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1669383Z   test_index_select_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1669749Z   test_index_select_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1670061Z   test_index_select_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1670372Z   test_index_select_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1670669Z   test_index_select_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1670984Z   test_index_select_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1671296Z   test_index_select_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1671627Z   test_invalid_shapes_grid_sampler_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s)
2023-01-11T22:00:48.1671930Z   test_is_set_to_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1672226Z   test_is_signed_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1672536Z   test_item_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1672823Z   test_item_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1673122Z   test_item_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1673427Z   test_item_cpu_complex32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1673728Z   test_item_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1674090Z   test_item_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1674394Z   test_item_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1674692Z   test_item_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1674976Z   test_item_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1675270Z   test_item_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1675570Z   test_item_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1675916Z   test_item_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1676198Z   test_item_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1676528Z   test_large_cumprod_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1676903Z   test_large_cumsum_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1677259Z   test_log_normal_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1677578Z   test_log_normal_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1677893Z   test_log_normal_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1678205Z   test_log_normal_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1678501Z   test_logcumsumexp_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1678824Z   test_lognormal_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1679155Z   test_lognormal_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1679466Z   test_lognormal_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1679784Z   test_lognormal_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1680109Z   test_masked_fill_bool_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1680434Z   test_masked_fill_cpu_bfloat16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1680748Z   test_masked_fill_cpu_bfloat16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1681074Z   test_masked_fill_cpu_bool_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1681393Z   test_masked_fill_cpu_bool_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1681710Z   test_masked_fill_cpu_complex128_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1682045Z   test_masked_fill_cpu_complex128_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1682375Z   test_masked_fill_cpu_complex64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1682706Z   test_masked_fill_cpu_complex64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1683021Z   test_masked_fill_cpu_float16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1683344Z   test_masked_fill_cpu_float16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1683793Z   test_masked_fill_cpu_float32_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1684103Z   test_masked_fill_cpu_float32_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1684427Z   test_masked_fill_cpu_float64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1684750Z   test_masked_fill_cpu_float64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1685071Z   test_masked_fill_cpu_int16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1685380Z   test_masked_fill_cpu_int16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1685696Z   test_masked_fill_cpu_int32_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1686017Z   test_masked_fill_cpu_int32_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1686332Z   test_masked_fill_cpu_int64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1686635Z   test_masked_fill_cpu_int64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1686953Z   test_masked_fill_cpu_int8_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1687321Z   test_masked_fill_cpu_int8_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1687625Z   test_masked_fill_cpu_uint8_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1687946Z   test_masked_fill_cpu_uint8_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1688269Z   test_masked_fill_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1688597Z   test_masked_scatter_bool_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1688948Z   test_masked_scatter_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1689267Z   test_masked_scatter_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1689595Z   test_masked_scatter_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1689914Z   test_masked_scatter_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1690243Z   test_masked_scatter_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1690560Z   test_masked_scatter_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1690876Z   test_masked_scatter_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1691181Z   test_masked_scatter_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1691498Z   test_masked_scatter_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1691816Z   test_masked_scatter_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1692117Z   test_masked_scatter_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1692435Z   test_masked_scatter_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1692783Z   test_masked_scatter_large_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1693140Z   test_masked_scatter_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1693744Z   test_masked_select_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1694284Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1694478Z ok (0.004s)
2023-01-11T22:00:48.1694993Z   test_masked_select_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1695506Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1695698Z ok (0.004s)
2023-01-11T22:00:48.1696227Z   test_masked_select_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1696757Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1696938Z ok (0.004s)
2023-01-11T22:00:48.1697466Z   test_masked_select_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1698001Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1698194Z ok (0.004s)
2023-01-11T22:00:48.1698741Z   test_masked_select_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1699270Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1699493Z ok (0.003s)
2023-01-11T22:00:48.1700007Z   test_masked_select_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1700509Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1700703Z ok (0.004s)
2023-01-11T22:00:48.1701226Z   test_masked_select_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1701746Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1701927Z ok (0.004s)
2023-01-11T22:00:48.1702448Z   test_masked_select_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1702978Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1703170Z ok (0.004s)
2023-01-11T22:00:48.1703673Z   test_masked_select_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1704194Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1704385Z ok (0.004s)
2023-01-11T22:00:48.1704898Z   test_masked_select_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1705424Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1705604Z ok (0.004s)
2023-01-11T22:00:48.1706124Z   test_masked_select_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1706645Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1706825Z ok (0.004s)
2023-01-11T22:00:48.1707334Z   test_masked_select_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3641: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1854.)
2023-01-11T22:00:48.1707852Z   torch.masked_select(src, mask, out=dst3)
2023-01-11T22:00:48.1708043Z ok (0.004s)
2023-01-11T22:00:48.1708284Z   test_masked_select_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1708617Z   test_memory_format_clone_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s)
2023-01-11T22:00:48.1708971Z   test_memory_format_consistency_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1709326Z   test_memory_format_cpu_and_cuda_ops_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1709665Z   test_memory_format_empty_like_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1710018Z   test_memory_format_factory_like_functions_preserve_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.268s)
2023-01-11T22:00:48.1710391Z   test_memory_format_operators_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.153s)
2023-01-11T22:00:48.1710718Z   test_memory_format_preserved_after_permute_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1711071Z   test_memory_format_propagation_rules_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1711397Z   test_memory_format_to_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1711711Z   test_memory_format_type_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1712025Z   test_memory_format_type_shortcuts_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.096s)
2023-01-11T22:00:48.1712374Z   test_module_share_memory_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1712528Z   test_multinomial_cpu_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1712684Z   test_multinomial_cpu_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1712832Z   test_multinomial_cpu_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1712981Z   test_multinomial_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.022s)
2023-01-11T22:00:48.1713115Z   test_multinomial_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s)
2023-01-11T22:00:48.1713303Z   test_multinomial_deterministic_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1713490Z   test_multinomial_deterministic_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1713668Z   test_multinomial_deterministic_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1713849Z   test_multinomial_device_constrain_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1714086Z   test_multinomial_empty_w_replacement_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1714256Z   test_multinomial_empty_wo_replacement_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1714457Z   test_multinomial_gpu_device_constrain_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2023-01-11T22:00:48.1714693Z   test_multinomial_rng_state_advance_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:00:48.1714824Z   test_narrow_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1715012Z   test_nondeterministic_alert_AdaptiveAvgPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1715192Z   test_nondeterministic_alert_AdaptiveAvgPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1715366Z   test_nondeterministic_alert_AdaptiveMaxPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1715538Z   test_nondeterministic_alert_AvgPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1715706Z   test_nondeterministic_alert_CTCLoss_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1715884Z   test_nondeterministic_alert_EmbeddingBag_max_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1716069Z   test_nondeterministic_alert_FractionalMaxPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1716289Z   test_nondeterministic_alert_FractionalMaxPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1716443Z   test_nondeterministic_alert_MaxPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1716659Z   test_nondeterministic_alert_MaxUnpool1d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.001s)
2023-01-11T22:00:48.1716835Z   test_nondeterministic_alert_MaxUnpool1d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1717078Z   test_nondeterministic_alert_MaxUnpool1d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1717292Z   test_nondeterministic_alert_MaxUnpool2d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.001s)
2023-01-11T22:00:48.1717470Z   test_nondeterministic_alert_MaxUnpool2d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1717650Z   test_nondeterministic_alert_MaxUnpool2d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1717862Z   test_nondeterministic_alert_MaxUnpool3d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.001s)
2023-01-11T22:00:48.1718038Z   test_nondeterministic_alert_MaxUnpool3d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1718199Z   test_nondeterministic_alert_MaxUnpool3d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1718370Z   test_nondeterministic_alert_NLLLoss_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1718547Z   test_nondeterministic_alert_ReflectionPad1d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1718721Z   test_nondeterministic_alert_ReflectionPad2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1718890Z   test_nondeterministic_alert_ReflectionPad3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1719077Z   test_nondeterministic_alert_ReplicationPad1d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1719253Z   test_nondeterministic_alert_ReplicationPad2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1719424Z   test_nondeterministic_alert_ReplicationPad3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1719588Z   test_nondeterministic_alert_bincount_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1719744Z   test_nondeterministic_alert_cumsum_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1719917Z   test_nondeterministic_alert_cumsum_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1720084Z   test_nondeterministic_alert_cumsum_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1720251Z   test_nondeterministic_alert_cumsum_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1720417Z   test_nondeterministic_alert_cumsum_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1720584Z   test_nondeterministic_alert_cumsum_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1720751Z   test_nondeterministic_alert_cumsum_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1720918Z   test_nondeterministic_alert_cumsum_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1721086Z   test_nondeterministic_alert_cumsum_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1721241Z   test_nondeterministic_alert_cumsum_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1721412Z   test_nondeterministic_alert_grid_sample_2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1721581Z   test_nondeterministic_alert_grid_sample_3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1721770Z   test_nondeterministic_alert_histc_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1721949Z   test_nondeterministic_alert_interpolate_bicubic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1722130Z   test_nondeterministic_alert_interpolate_bilinear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1722309Z   test_nondeterministic_alert_interpolate_linear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1722520Z   test_nondeterministic_alert_interpolate_trilinear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1722692Z   test_nondeterministic_alert_kthvalue_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1723309Z   test_nondeterministic_alert_median_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1653: UserWarning: An output with one or more elements was resized since it had shape [10], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:33.)
2023-01-11T22:00:48.1723516Z   torch.median(a, 0, out=(result, indices))
2023-01-11T22:00:48.1723586Z ok (0.002s)
2023-01-11T22:00:48.1723761Z   test_nondeterministic_alert_put_accumulate_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1723923Z   test_nondeterministic_alert_put_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s)
2023-01-11T22:00:48.1724073Z   test_normal_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1724218Z   test_normal_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:00:48.1724364Z   test_normal_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1724519Z   test_nullary_op_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.042s)
2023-01-11T22:00:48.1724661Z   test_pairwise_distance_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1724803Z   test_pdist_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1724971Z   test_pdist_norm_large_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1725493Z   test_pickle_gradscaler_cpu (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/cuda/amp/grad_scaler.py:118: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
2023-01-11T22:00:48.1725672Z   warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.")
2023-01-11T22:00:48.1725740Z ok (0.002s)
2023-01-11T22:00:48.1725922Z   test_pin_memory_from_constructor_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2023-01-11T22:00:48.1726078Z   test_put_accumulate_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1726234Z   test_put_accumulate_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1726376Z   test_put_accumulate_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1726531Z   test_put_accumulate_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1726683Z   test_put_accumulate_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1726830Z   test_put_accumulate_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1726980Z   test_put_accumulate_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1727132Z   test_put_accumulate_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1727281Z   test_put_accumulate_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1727490Z   test_put_accumulate_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1727625Z   test_put_accumulate_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1727766Z   test_put_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s)
2023-01-11T22:00:48.1727906Z   test_put_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s)
2023-01-11T22:00:48.1728086Z   test_put_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s)
2023-01-11T22:00:48.1728227Z   test_put_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s)
2023-01-11T22:00:48.1728362Z   test_put_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s)
2023-01-11T22:00:48.1728503Z   test_put_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.033s)
2023-01-11T22:00:48.1728638Z   test_put_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1728759Z   test_put_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1728896Z   test_put_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s)
2023-01-11T22:00:48.1729036Z   test_put_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1729170Z   test_put_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s)
2023-01-11T22:00:48.1729306Z   test_put_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1729452Z   test_put_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.023s)
2023-01-11T22:00:48.1729600Z   test_repeat_interleave_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1730048Z   test_scalar_check_cpu (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:670: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1730187Z   self.assertEqual((), zero_d_clone.set_(one_d.storage(), 0, (), ()).shape)
2023-01-11T22:00:48.1730565Z test_torch.py:671: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1730694Z   self.assertEqual((1,), zero_d_clone.set_(one_d.storage(), 0, (1,), (1,)).shape)
2023-01-11T22:00:48.1731070Z test_torch.py:672: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1731201Z   self.assertEqual((), one_d_clone.set_(one_d.storage(), 0, (), ()).shape)
2023-01-11T22:00:48.1731578Z test_torch.py:673: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1731716Z   self.assertEqual((1,), one_d_clone.set_(one_d.storage(), 0, (1,), (1,)).shape)
2023-01-11T22:00:48.1731783Z ok (0.093s)
2023-01-11T22:00:48.1731935Z   test_scatter_add_bool_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1732094Z   test_scatter_add_non_unique_index_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1732260Z   test_scatter_add_one_dim_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.537s)
2023-01-11T22:00:48.1732417Z   test_scatter_add_to_large_input_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1732541Z   test_scatter_bool_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1732723Z   test_scatter_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s)
2023-01-11T22:00:48.1732936Z   test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1733145Z   test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1733348Z   test_scatter_reduce_non_unique_index_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1733513Z   test_scatter_reduce_non_unique_index_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1733688Z   test_scatter_reduce_non_unique_index_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1733859Z   test_scatter_reduce_non_unique_index_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1734031Z   test_scatter_reduce_non_unique_index_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1734184Z   test_scatter_reduce_non_unique_index_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1734352Z   test_scatter_reduce_non_unique_index_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1734518Z   test_scatter_reduce_non_unique_index_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1734683Z   test_scatter_reduce_non_unique_index_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1734841Z   test_scatter_reduce_non_unique_index_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1735002Z   test_scatter_reduce_non_unique_index_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1735170Z   test_scatter_reduce_non_unique_index_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1735356Z   test_scatter_reduce_operations_to_large_input_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1735537Z   test_scatter_reduce_operations_to_large_input_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1735709Z   test_scatter_reduce_operations_to_large_input_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1735892Z   test_scatter_reduce_operations_to_large_input_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1736077Z   test_scatter_reduce_operations_to_large_input_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1736253Z   test_scatter_reduce_operations_to_large_input_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1736429Z   test_scatter_reduce_operations_to_large_input_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1736607Z   test_scatter_reduce_operations_to_large_input_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1736786Z   test_scatter_reduce_operations_to_large_input_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1736967Z   test_scatter_reduce_operations_to_large_input_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1737145Z   test_scatter_reduce_operations_to_large_input_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1737306Z   test_scatter_reduce_operations_to_large_input_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1737467Z   test_scatter_reduce_scalar_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1737623Z   test_scatter_reduce_scalar_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1737786Z   test_scatter_reduce_scalar_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1737946Z   test_scatter_reduce_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1738131Z   test_scatter_reduce_scalar_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1738290Z   test_scatter_reduce_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1738443Z   test_scatter_reduce_scalar_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1738597Z   test_scatter_reduce_scalar_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1738769Z   test_scatter_reduce_scalar_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1738923Z   test_scatter_reduce_scalar_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1739075Z   test_scatter_reduce_scalar_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1739226Z   test_scatter_reduce_scalar_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1739380Z   test_scatter_to_large_input_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1739531Z   test_scatter_zero_size_index_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1739695Z   test_serialization_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1740145Z   test_set_storage_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:257: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1740219Z   a_s = a.storage()
2023-01-11T22:00:48.1740584Z test_torch.py:260: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1740739Z   c = torch.tensor([], device=device, dtype=dtype).set_(a_s.untyped()).reshape(a.size())
2023-01-11T22:00:48.1741101Z test_torch.py:267: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1741208Z   error_storage = a.to(error_dtype).storage()
2023-01-11T22:00:48.1741273Z ok (0.010s)
2023-01-11T22:00:48.1741418Z   test_set_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1741569Z   test_set_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s)
2023-01-11T22:00:48.1741720Z   test_set_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1741865Z   test_set_storage_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742000Z   test_set_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742146Z   test_set_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742291Z   test_set_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742435Z   test_set_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742579Z   test_set_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742723Z   test_set_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1742863Z   test_set_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:00:48.1743007Z   test_shift_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1743142Z   test_skip_xla_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1743332Z   test_storage_all_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1743771Z   test_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:168: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1743907Z   self.assertEqual(v.storage()[0], v[0][0])
2023-01-11T22:00:48.1744282Z test_torch.py:169: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1744386Z   self.assertEqual(v.storage()[14], v[2][4])
2023-01-11T22:00:48.1744755Z test_torch.py:170: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1744827Z   v_s = v.storage()
2023-01-11T22:00:48.1745199Z test_torch.py:176: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1745269Z   v_s[el_num],
2023-01-11T22:00:48.1745629Z test_torch.py:179: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1745721Z   v_s_byte = v.storage().untyped()
2023-01-11T22:00:48.1745774Z ok (0.004s)
2023-01-11T22:00:48.1745923Z   test_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1746069Z   test_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1746211Z   test_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1746354Z   test_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1746493Z   test_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1746632Z   test_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1746769Z   test_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1746895Z   test_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1747078Z   test_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1747529Z   test_storage_meta_errors_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:331: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1747730Z   s0 = torch.TypedStorage([1, 2, 3, 4], device='meta', dtype=dtype)
2023-01-11T22:00:48.1748101Z test_torch.py:334: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1748168Z   s0.cpu()
2023-01-11T22:00:48.1748562Z test_torch.py:353: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1748635Z   s0.resize_(10)
2023-01-11T22:00:48.1749005Z test_torch.py:356: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1749119Z   s0.share_memory_()
2023-01-11T22:00:48.1749481Z test_torch.py:359: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1749547Z   s0.tolist()
2023-01-11T22:00:48.1750178Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:675: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1750242Z   return list(self)
2023-01-11T22:00:48.1750874Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:649: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1750995Z   return iter(map(lambda i: self[i], range(self.size())))
2023-01-11T22:00:48.1751368Z test_torch.py:363: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1751479Z   s0._write_file(f, True, True, s0.element_size())
2023-01-11T22:00:48.1751848Z test_torch.py:366: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1751982Z   s1 = torch.TypedStorage([1, 2, 3, 4], device=device, dtype=dtype)
2023-01-11T22:00:48.1752356Z test_torch.py:369: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1752427Z   s1.copy_(s0)
2023-01-11T22:00:48.1752492Z ok (0.019s)
2023-01-11T22:00:48.1752647Z   test_storage_meta_errors_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1752795Z   test_storage_meta_errors_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1752956Z   test_storage_meta_errors_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1753114Z   test_storage_meta_errors_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1753268Z   test_storage_meta_errors_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1753420Z   test_storage_meta_errors_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1753571Z   test_storage_meta_errors_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1753759Z   test_storage_meta_errors_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1753910Z   test_storage_meta_errors_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1754140Z   test_storage_meta_errors_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1754298Z   test_storage_meta_errors_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s)
2023-01-11T22:00:48.1754757Z   test_storage_meta_from_tensor_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:324: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1754880Z   s_check = t_check.storage()
2023-01-11T22:00:48.1755254Z test_torch.py:325: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1755327Z   s = t.storage()
2023-01-11T22:00:48.1755699Z test_torch.py:279: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1755855Z   self.assertEqual(s.device.type, 'meta')
2023-01-11T22:00:48.1756237Z test_torch.py:280: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1756405Z   self.assertEqual(s.nbytes(), s_check.nbytes())
2023-01-11T22:00:48.1756794Z test_torch.py:281: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1756900Z   self.assertEqual(s.size(), s_check.size())
2023-01-11T22:00:48.1757271Z test_torch.py:282: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1757354Z   self.assertEqual(s.data_ptr(), 0)
2023-01-11T22:00:48.1757716Z test_torch.py:285: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1757780Z   s[0]
2023-01-11T22:00:48.1758134Z test_torch.py:289: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1758259Z   self._check_storage_meta(s.untyped(), s_check.untyped())
2023-01-11T22:00:48.1758325Z ok (0.001s)
2023-01-11T22:00:48.1758485Z   test_storage_meta_from_tensor_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1758653Z   test_storage_meta_from_tensor_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1758820Z   test_storage_meta_from_tensor_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759020Z   test_storage_meta_from_tensor_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759170Z   test_storage_meta_from_tensor_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759330Z   test_storage_meta_from_tensor_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759486Z   test_storage_meta_from_tensor_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759675Z   test_storage_meta_from_tensor_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759829Z   test_storage_meta_from_tensor_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1759985Z   test_storage_meta_from_tensor_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1760143Z   test_storage_meta_from_tensor_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1760595Z   test_storage_setitem_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:210: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1760673Z   s = storage_type(N)
2023-01-11T22:00:48.1761047Z test_torch.py:211: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1761101Z   s[:] = 0
2023-01-11T22:00:48.1761471Z test_torch.py:213: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1761570Z   self.assertEqual(s, storage_type(l))
2023-01-11T22:00:48.1762235Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:1904: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1762330Z   device=typed_storage.device,
2023-01-11T22:00:48.1762701Z test_torch.py:216: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1762767Z   s[i] = i
2023-01-11T22:00:48.1763128Z test_torch.py:219: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1763225Z   self.assertEqual(s, storage_type(l))
2023-01-11T22:00:48.1763754Z test_torch.py:222: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1763826Z   s[2:7] = 1
2023-01-11T22:00:48.1764182Z test_torch.py:223: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1764335Z   self.assertEqual(s, storage_type(l))
2023-01-11T22:00:48.1764404Z ok (0.002s)
2023-01-11T22:00:48.1764565Z   test_storage_setitem_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1764722Z   test_storage_setitem_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1764876Z   test_storage_setitem_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765063Z   test_storage_setitem_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765214Z   test_storage_setitem_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765358Z   test_storage_setitem_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765485Z   test_storage_setitem_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765636Z   test_storage_setitem_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765789Z   test_storage_setitem_cpu_qint32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1765939Z   test_storage_setitem_cpu_qint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1766091Z   test_storage_setitem_cpu_quint4x2 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1766240Z   test_storage_setitem_cpu_quint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1766390Z   test_storage_setitem_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1766541Z   test_strides_propagation_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.090s)
2023-01-11T22:00:48.1766692Z   test_sync_warning_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T22:00:48.1766831Z   test_take_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1766966Z   test_take_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1767109Z   test_take_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1767249Z   test_take_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1767385Z   test_take_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1767522Z   test_take_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1767658Z   test_take_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:00:48.1767781Z   test_take_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1767916Z   test_take_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1768050Z   test_take_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:00:48.1768184Z   test_take_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1768318Z   test_take_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:00:48.1768456Z   test_take_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1768913Z   test_tensor_from_storage_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:240: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1768986Z   a_s = a.storage()
2023-01-11T22:00:48.1769361Z test_torch.py:241: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1769497Z   b = torch.tensor(a_s, device=device, dtype=dtype).reshape(a.size())
2023-01-11T22:00:48.1769901Z test_torch.py:243: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1770036Z   c = torch.tensor(a_s.untyped(), device=device, dtype=dtype).reshape(a.size())
2023-01-11T22:00:48.1770429Z test_torch.py:250: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1770534Z   error_storage = a.to(error_dtype).storage()
2023-01-11T22:00:48.1770904Z test_torch.py:251: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1771029Z   torch.tensor(error_storage, device=device, dtype=dtype)
2023-01-11T22:00:48.1771095Z ok (0.012s)
2023-01-11T22:00:48.1771248Z   test_tensor_from_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1771411Z   test_tensor_from_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1771571Z   test_tensor_from_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1771726Z   test_tensor_from_storage_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1771862Z   test_tensor_from_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772016Z   test_tensor_from_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772170Z   test_tensor_from_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772326Z   test_tensor_from_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772477Z   test_tensor_from_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772627Z   test_tensor_from_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772777Z   test_tensor_from_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1772973Z   test_tensor_set_errors_multigpu_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2023-01-11T22:00:48.1773111Z   test_tensor_shape_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s)
2023-01-11T22:00:48.1773566Z   test_tensor_storage_type_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:234: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1773696Z   self.assertEqual(a.storage_type(), expected_storage_type)
2023-01-11T22:00:48.1774334Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:959: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1774486Z   if self.device.type not in ['cpu', 'cuda']:
2023-01-11T22:00:48.1775141Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:962: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1775322Z   module = torch if self.device.type == 'cpu' else torch.cuda
2023-01-11T22:00:48.1775389Z ok (0.001s)
2023-01-11T22:00:48.1775542Z   test_tensor_storage_type_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1775702Z   test_tensor_storage_type_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1775893Z   test_tensor_storage_type_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776037Z   test_tensor_storage_type_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776187Z   test_tensor_storage_type_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776341Z   test_tensor_storage_type_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776492Z   test_tensor_storage_type_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776645Z   test_tensor_storage_type_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776796Z   test_tensor_storage_type_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1776947Z   test_tensor_storage_type_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1777095Z   test_tensor_storage_type_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1777243Z   test_ternary_op_mem_overlap_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.111s)
2023-01-11T22:00:48.1777700Z   test_typed_storage_meta_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:301: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1777838Z   s_check = torch.TypedStorage(*args, dtype=dtype, device=device)
2023-01-11T22:00:48.1778216Z test_torch.py:302: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:48.1778397Z   s = torch.TypedStorage(*args, dtype=dtype, device='meta')
2023-01-11T22:00:48.1778467Z ok (0.003s)
2023-01-11T22:00:48.1778621Z   test_typed_storage_meta_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:00:48.1778782Z   test_typed_storage_meta_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1778939Z   test_typed_storage_meta_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779094Z   test_typed_storage_meta_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779237Z   test_typed_storage_meta_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779386Z   test_typed_storage_meta_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779538Z   test_typed_storage_meta_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779685Z   test_typed_storage_meta_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779835Z   test_typed_storage_meta_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1779985Z   test_typed_storage_meta_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1780131Z   test_typed_storage_meta_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1780288Z   test_unfold_all_devices_and_dtypes_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1780430Z   test_unfold_scalars_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1780597Z   test_uniform_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1780746Z   test_uniform_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1780890Z   test_uniform_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1781030Z   test_uniform_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s)
2023-01-11T22:00:48.1781213Z   test_untyped_storage_meta_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:00:48.1781361Z   test_warn_always_caught_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s)
2023-01-11T22:00:48.1781526Z   test_where_scalar_handcrafted_values_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:00:48.1781698Z   test_cuda_vitals_gpu_only_cpu (__main__.TestVitalSignsCudaCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:00:48.1781707Z 
2023-01-11T22:00:48.1781897Z ----------------------------------------------------------------------
2023-01-11T22:00:48.1781979Z Ran 832 tests in 12.652s
2023-01-11T22:00:48.1781985Z 
2023-01-11T22:00:48.1782057Z OK (skipped=39)
2023-01-11T22:00:48.1782062Z 
2023-01-11T22:00:48.1782146Z Generating XML reports...
2023-01-11T22:00:48.1782439Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20230111220035.xml
2023-01-11T22:00:48.1782699Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20230111220035.xml
2023-01-11T22:00:48.1782999Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorchDeviceTypeCPU-20230111220035.xml
2023-01-11T22:00:48.1783294Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCPU-20230111220035.xml
2023-01-11T22:00:48.1783397Z [TORCH_VITAL] Dataloader.enabled		 True
2023-01-11T22:00:48.1783512Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2023-01-11T22:00:48.1783601Z [TORCH_VITAL] CUDA.used		 False
2023-01-11T22:00:48.1783606Z 
2023-01-11T22:00:48.1783960Z ##[endgroup]
2023-01-11T22:00:48.1784229Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_75snjygy)
2023-01-11T22:00:48.1784234Z 
2023-01-11T22:00:48.1784399Z Running test_fake_tensor ... [2023-01-11 22:00:48.125181]
2023-01-11T22:00:48.1784733Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:00:48.125522]
2023-01-11T22:00:50.5365980Z 
2023-01-11T22:00:50.5366466Z Expand the folded group to see the log file of test_fake_tensor
2023-01-11T22:00:50.5367463Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_6r7q4wnw)
2023-01-11T22:00:50.5368001Z Test results will be stored in test-reports/python-unittest/test_fake_tensor
2023-01-11T22:00:50.5368186Z 
2023-01-11T22:00:50.5368259Z Running tests...
2023-01-11T22:00:50.5368620Z ----------------------------------------------------------------------
2023-01-11T22:00:50.5369120Z   test_aliased_const_write (__main__.FakeTensorConstHandling) ... ok (0.252s)
2023-01-11T22:00:50.5369641Z   test_constant_invalidation (__main__.FakeTensorConstHandling) ... ok (0.005s)
2023-01-11T22:00:50.5370143Z   test_fake_tensor_batch_norm_cpu (__main__.FakeTensorConstHandling) ... ok (0.069s)
2023-01-11T22:00:50.5370701Z   test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... ok (0.008s)
2023-01-11T22:00:50.5371266Z   test_inplace_add (__main__.FakeTensorConstHandling) ... ok (0.002s)
2023-01-11T22:00:50.5371852Z   test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s)
2023-01-11T22:00:50.5372457Z   test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... ok (0.005s)
2023-01-11T22:00:50.5373910Z   test_shared_storages (__main__.FakeTensorConstHandling) ... test_fake_tensor.py:513: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:50.5374702Z   self.assertEqual(x.storage()._cdata, y.storage()._cdata)
2023-01-11T22:00:50.5375226Z test_fake_tensor.py:514: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:50.5375831Z   self.assertEqual(x.constant.storage()._cdata, y.constant.storage()._cdata)
2023-01-11T22:00:50.5376106Z ok (0.002s)
2023-01-11T22:00:50.5376469Z   test_simple (__main__.FakeTensorConstHandling) ... ok (0.001s)
2023-01-11T22:00:50.5377018Z   test_dead_key (__main__.FakeTensorConverterTest) ... ok (0.001s)
2023-01-11T22:00:50.5377333Z   test_dead_weak_ref (__main__.FakeTensorConverterTest) ... ok (0.002s)
2023-01-11T22:00:50.5377651Z   test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2023-01-11T22:00:50.5377985Z   test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2023-01-11T22:00:50.5378285Z   test_no_active_mode (__main__.FakeTensorConverterTest) ... ok (0.008s)
2023-01-11T22:00:50.5378579Z   test_no_ref_cycle (__main__.FakeTensorConverterTest) ... ok (0.001s)
2023-01-11T22:00:50.5378924Z   test_separate_mode_error (__main__.FakeTensorConverterTest) ... ok (0.007s)
2023-01-11T22:00:50.5379557Z   test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... test_fake_tensor.py:602: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:50.5380093Z   y.set_(x.storage())
2023-01-11T22:00:50.5380253Z ok (0.002s)
2023-01-11T22:00:50.5380504Z   test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... ok (0.001s)
2023-01-11T22:00:50.5380825Z   test_like_ops (__main__.FakeTensorOperatorInvariants) ... ok (0.014s)
2023-01-11T22:00:50.5381138Z   test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.058s)
2023-01-11T22:00:50.5381478Z   test_sparse_new (__main__.FakeTensorOperatorInvariants) ... expected failure (0.003s)
2023-01-11T22:00:50.5381845Z   test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.176s)
2023-01-11T22:00:50.5382703Z   test_fake_tensor_prop_on_nn_module (__main__.FakeTensorPropTest) ... /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py:565: UserWarning: Was not able to add assertion to guarantee correct input value to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with.
2023-01-11T22:00:50.5383237Z   f"Was not able to add assertion to guarantee correct input {name} to "
2023-01-11T22:00:50.5383465Z ok (0.024s)
2023-01-11T22:00:50.5383671Z   test_basic (__main__.FakeTensorTest) ... ok (0.002s)
2023-01-11T22:00:50.5383927Z   test_binary_op_type_promotion (__main__.FakeTensorTest) ... ok (0.008s)
2023-01-11T22:00:50.5384204Z   test_constructor (__main__.FakeTensorTest) ... ok (0.004s)
2023-01-11T22:00:50.5384490Z   test_cpu_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2023-01-11T22:00:50.5384788Z   test_cuda_lstm (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2023-01-11T22:00:50.5385085Z   test_cudnn_rnn_with_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.002s)
2023-01-11T22:00:50.5385409Z   test_cudnn_rnn_without_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.002s)
2023-01-11T22:00:50.5385715Z   test_data_dependent_operator (__main__.FakeTensorTest) ... ok (0.004s)
2023-01-11T22:00:50.5386338Z   test_deepcopy (__main__.FakeTensorTest) ... test_fake_tensor.py:466: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:00:50.5386921Z   self.assertEqual(mod_copied.b.storage()._cdata, mod_copied.a.storage()._cdata)
2023-01-11T22:00:50.5387159Z ok (0.006s)
2023-01-11T22:00:50.5387420Z   test_fake_dispatch_keys (__main__.FakeTensorTest) ... ok (0.007s)
2023-01-11T22:00:50.5387681Z   test_fake_grad_copy (__main__.FakeTensorTest) ... ok (0.001s)
2023-01-11T22:00:50.5387951Z   test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.001s)
2023-01-11T22:00:50.5388245Z   test_fallback_memory_prop (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2023-01-11T22:00:50.5388533Z   test_from_numpy (__main__.FakeTensorTest) ... ok (0.006s)
2023-01-11T22:00:50.5388805Z   test_index_cuda_with_cpu (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5389117Z   test_like_constructor (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5389391Z   test_mode (__main__.FakeTensorTest) ... ok (0.004s)
2023-01-11T22:00:50.5389628Z   test_nan_to_num (__main__.FakeTensorTest) ... ok (0.014s)
2023-01-11T22:00:50.5389893Z   test_new (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2023-01-11T22:00:50.5390188Z   test_non_kwarg_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5390480Z   test_non_overlapping_stride_zero (__main__.FakeTensorTest) ... ok (0.009s)
2023-01-11T22:00:50.5390767Z   test_non_parameter_grad (__main__.FakeTensorTest) ... ok (0.001s)
2023-01-11T22:00:50.5391059Z   test_normalize_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5391357Z   test_parameter_instantiation (__main__.FakeTensorTest) ... ok (0.004s)
2023-01-11T22:00:50.5391624Z   test_print_in_fake_mode (__main__.FakeTensorTest) ... ok (0.001s)
2023-01-11T22:00:50.5391889Z   test_randperm (__main__.FakeTensorTest) ... ok (0.007s)
2023-01-11T22:00:50.5392157Z   test_recursive_invocation (__main__.FakeTensorTest) ... ok (0.001s)
2023-01-11T22:00:50.5392421Z   test_scalar_inputs (__main__.FakeTensorTest) ... ok (0.005s)
2023-01-11T22:00:50.5392700Z   test_setitem (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5393009Z   test_shape_take_not_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5393314Z   test_throw (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5393586Z   test_type_as (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5393907Z   test_upsample_bilinear_small_channels (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2023-01-11T22:00:50.5394309Z   test_zero_dim (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2023-01-11T22:00:50.5394472Z 
2023-01-11T22:00:50.5394669Z ----------------------------------------------------------------------
2023-01-11T22:00:50.5394917Z Ran 57 tests in 0.741s
2023-01-11T22:00:50.5395031Z 
2023-01-11T22:00:50.5395125Z OK (skipped=16, expected failures=1)
2023-01-11T22:00:50.5395256Z 
2023-01-11T22:00:50.5395340Z Generating XML reports...
2023-01-11T22:00:50.5395772Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20230111220049.xml
2023-01-11T22:00:50.5396331Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20230111220049.xml
2023-01-11T22:00:50.5396902Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20230111220049.xml
2023-01-11T22:00:50.5397447Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20230111220049.xml
2023-01-11T22:00:50.5397939Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20230111220049.xml
2023-01-11T22:00:50.5398162Z 
2023-01-11T22:00:50.5398426Z ##[endgroup]
2023-01-11T22:00:50.5398858Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_6r7q4wnw)
2023-01-11T22:00:50.5399064Z 
2023-01-11T22:00:50.5399213Z Running test_cuda ... [2023-01-11 22:00:50.537046]
2023-01-11T22:00:50.5399669Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:00:50.537477]
2023-01-11T22:00:51.9741546Z 
2023-01-11T22:00:51.9742090Z Expand the folded group to see the log file of test_cuda
2023-01-11T22:00:51.9743216Z ##[group]PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_spdzdtnf)
2023-01-11T22:00:51.9743573Z CUDA not available, skipping tests
2023-01-11T22:00:51.9743711Z 
2023-01-11T22:00:51.9743785Z Running tests...
2023-01-11T22:00:51.9744181Z ----------------------------------------------------------------------
2023-01-11T22:00:51.9744355Z 
2023-01-11T22:00:51.9744621Z ----------------------------------------------------------------------
2023-01-11T22:00:51.9744948Z Ran 0 tests in 0.000s
2023-01-11T22:00:51.9745063Z 
2023-01-11T22:00:51.9745123Z OK
2023-01-11T22:00:51.9745212Z 
2023-01-11T22:00:51.9745295Z Generating XML reports...
2023-01-11T22:00:51.9745631Z Test results will be stored in test-reports/python-unittest/test_cuda
2023-01-11T22:00:51.9745846Z 
2023-01-11T22:00:51.9746071Z ##[endgroup]
2023-01-11T22:00:51.9746428Z FINISHED PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_spdzdtnf)
2023-01-11T22:00:51.9746636Z 
2023-01-11T22:00:51.9746819Z Running test_ops_gradients ... [2023-01-11 22:00:51.974403]
2023-01-11T22:00:53.3858113Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:00:53.4252752Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:00:53.5352456Z Ignoring disabled issues:  []
2023-01-11T22:00:53.5443307Z Ignoring disabled issues:  []
2023-01-11T22:00:53.6969584Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:00:53.696452]
2023-01-11T22:00:53.6970871Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:00:53.696709]
2023-01-11T22:04:44.9804251Z 
2023-01-11T22:04:44.9804724Z Expand the folded group to see the log file of test_ops_gradients
2023-01-11T22:04:44.9806448Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_kzubjyig)
2023-01-11T22:04:44.9813687Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-8f5bcf87c6ec2634.xml
2023-01-11T22:04:44.9814487Z ============================= test session starts ==============================
2023-01-11T22:04:44.9815285Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T22:04:44.9815710Z cachedir: .pytest_cache
2023-01-11T22:04:44.9892598Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2023-01-11T22:04:44.9893275Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T22:04:44.9894104Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T22:04:44.9894589Z collecting ... collected 4945 items / 12 deselected / 4933 selected
2023-01-11T22:04:45.0245144Z Running 2416 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_aminmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_any_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_any_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_arange_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_1d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_1d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_3d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_3d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_baddbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_baddbmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bucketize_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cfloat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cfloat_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_chalf_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_chalf_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_inverse_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_solve_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_solve_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_chunk_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_chunk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_min_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clone_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_combinations_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_conj_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_conj_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_conj_physical_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_constant_pad_nd_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_contiguous_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_contiguous_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cos_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cov_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cummin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumprod_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumprod_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumsum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumulative_trapezoid_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diag_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diag_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diag_embed_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diag_embed_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_scatter_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diff_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diff_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dist_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dist_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_div_floor_rounding_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_div_no_rounding_mode_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_double_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_double_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_kaiser_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sin_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinc_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_j0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_y1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_t_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_erfcx_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_laguerre_polynomial_l_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_log_ndtr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_topk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64
2023-01-11T22:04:45.0494905Z 
2023-01-11T22:04:45.0496344Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
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2023-01-11T22:04:45.0498950Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
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2023-01-11T22:04:45.0562453Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
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2023-01-11T22:04:45.0575031Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
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2023-01-11T22:04:45.0580869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [  6%]
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2023-01-11T22:04:45.0584527Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cond_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
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2023-01-11T22:04:45.0586981Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eigvalsh_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0587448Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eigvalsh_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0587942Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_householder_product_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0588426Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_inv_ex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0589093Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:04:45.0589570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [  7%]
2023-01-11T22:04:45.0590034Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0590559Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0591089Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0591550Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0592030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_power_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:04:45.0592654Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:04:45.0593146Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0593634Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0594195Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0594686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_pinv_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0595159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_pinv_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0595639Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0596128Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  8%]
2023-01-11T22:04:45.0596613Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_qr_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0597152Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_slogdet_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0597622Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_solve_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0598090Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_solve_triangular_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0598619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_svdvals_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0599122Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_tensorsolve_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0599602Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_tensorsolve_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0600203Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  8%]
2023-01-11T22:04:45.0600873Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  8%]
2023-01-11T22:04:45.0601363Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log10_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0601818Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log10_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0602310Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log2_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0602820Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0603295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0603855Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logaddexp2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0604321Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logdet_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0604771Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logdet_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:04:45.0605370Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0605969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0606570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0607245Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0607826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0608417Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0608953Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logit_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0609532Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0610098Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0610670Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0611194Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_lu_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
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2023-01-11T22:04:45.0612092Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_lu_unpack_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0612544Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_mH_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0613109Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_mT_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0613574Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_amin_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0614154Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:04:45.0614673Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_cumsum_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0615145Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0615624Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0616103Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0616564Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_mean_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0617030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_median_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0617491Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:04:45.0617965Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_prod_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0618420Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_prod_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0618887Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_scatter_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
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2023-01-11T22:04:45.0620833Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_std_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0621300Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_std_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0621822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_sum_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0622276Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_var_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0622739Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_masked_var_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0623203Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_matmul_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0623660Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_matmul_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0624239Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_max_pool2d_with_indices_backward_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0624729Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_max_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
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2023-01-11T22:04:45.0625773Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0626269Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0626759Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0627250Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_min_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0627720Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_movedim_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0628178Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_mul_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0628616Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_mv_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0629079Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:04:45.0629563Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0630103Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nanmean_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0630703Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
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2023-01-11T22:04:45.0632161Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_native_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0632751Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0633316Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0633837Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_neg_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
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2023-01-11T22:04:45.0634976Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0635607Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0636280Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0636869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0637498Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 11%]
2023-01-11T22:04:45.0637995Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0638517Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0639020Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_alpha_dropout_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0639516Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0640006Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0640497Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0641016Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0641524Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_celu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0642084Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_conv1d_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
2023-01-11T22:04:45.0642561Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_conv1d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0643056Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_conv_transpose2d_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0643658Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_conv_transpose3d_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0644216Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0644727Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0645215Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0645708Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_dropout2d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0646194Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_dropout3d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0646785Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_dropout_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0647293Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0647836Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0648459Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0648966Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0649461Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0650012Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_gelu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0650485Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_glu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
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2023-01-11T22:04:45.0652324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_hardtanh_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0652819Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_instance_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0653385Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0653885Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0654467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0654978Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:04:45.0655478Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_l1_loss_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0655961Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
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2023-01-11T22:04:45.0657460Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_logsigmoid_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0657992Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0658545Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0659030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0659546Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0660046Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0660532Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0661012Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_mish_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0661492Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_normalize_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0661982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_normalize_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0662466Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pad_circular_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0662949Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0663443Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pad_reflect_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0663943Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0664397Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pdist_cpu_float64 PASSED [ 13%]
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2023-01-11T22:04:45.0665334Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0665877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_relu6_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0666522Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 13%]
2023-01-11T22:04:45.0667016Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_silu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:04:45.0667551Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0668037Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_softmin_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0668562Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0669068Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0669548Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_softshrink_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0670120Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_softsign_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0670603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_tanhshrink_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0671098Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0671671Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0672183Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_unfold_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0672792Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2023-01-11T22:04:45.0673383Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2023-01-11T22:04:45.0673862Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_norm_nuc_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0674363Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 14%]
2023-01-11T22:04:45.0674932Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2023-01-11T22:04:45.0675522Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 14%]
2023-01-11T22:04:45.0676070Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ormqr_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
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2023-01-11T22:04:45.0676967Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_outer_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0677432Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_pca_lowrank_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0677964Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_permute_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0678416Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_pinverse_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 14%]
2023-01-11T22:04:45.0678863Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 14%]
2023-01-11T22:04:45.0679288Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 14%]
2023-01-11T22:04:45.0679737Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_positive_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0680288Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_pow_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
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2023-01-11T22:04:45.0681197Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_put_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0681682Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_quantile_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0682195Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_rad2deg_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0682784Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2023-01-11T22:04:45.0683536Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2023-01-11T22:04:45.0684131Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_randint_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2023-01-11T22:04:45.0684723Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2023-01-11T22:04:45.0685300Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 15%]
2023-01-11T22:04:45.0685771Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ravel_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
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2023-01-11T22:04:45.0686694Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_real_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0687147Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_reciprocal_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0687620Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_remainder_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0688080Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_renorm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0688613Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_renorm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0689069Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_repeat_interleave_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0689544Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_reshape_as_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0690020Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_resolve_conj_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:04:45.0690552Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_resolve_neg_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
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2023-01-11T22:04:45.0691968Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_rot90_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0692493Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_round_decimals_0_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
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2023-01-11T22:04:45.0693411Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_rsub_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0694003Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_scalar_tensor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
2023-01-11T22:04:45.0694543Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_scatter_add_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0695019Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_scatter_reduce_amax_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0695486Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_scatter_reduce_amin_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0695969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_scatter_reduce_mean_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0696572Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
2023-01-11T22:04:45.0697021Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_segment_reduce_lengths_cpu_float64 PASSED [ 16%]
2023-01-11T22:04:45.0697440Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_select_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
2023-01-11T22:04:45.0697903Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_select_scatter_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%]
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2023-01-11T22:04:45.0755570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_all_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0756021Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_all_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0756480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_allclose_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0756878Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_amax_cpu_float64 PASSED [ 21%]
2023-01-11T22:04:45.0757270Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_aminmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0757720Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_any_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0758251Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0758708Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argsort_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:04:45.0759141Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 21%]
2023-01-11T22:04:45.0759576Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_partial_views_cpu_float64 PASSED [ 21%]
2023-01-11T22:04:45.0759943Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asin_cpu_complex128 PASSED [ 21%]
2023-01-11T22:04:45.0760291Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asinh_cpu_float64 PASSED [ 21%]
2023-01-11T22:04:45.0760625Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atanh_cpu_float64 PASSED [ 21%]
2023-01-11T22:04:45.0760982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_1d_cpu_complex128 PASSED [ 21%]
2023-01-11T22:04:45.0761341Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_2d_cpu_complex128 PASSED [ 21%]
2023-01-11T22:04:45.0761685Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_2d_cpu_float64 PASSED [ 21%]
2023-01-11T22:04:45.0762035Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_3d_cpu_float64 PASSED [ 21%]
2023-01-11T22:04:45.0762482Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_baddbmm_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0762838Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bernoulli_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0763174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bfloat16_cpu_float64 XFAIL [ 22%]
2023-01-11T22:04:45.0763612Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_block_diag_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0764025Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_block_diag_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0764381Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_tensors_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0764758Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_tensors_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0765169Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_to_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0765602Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bucketize_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%]
2023-01-11T22:04:45.0766052Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_byte_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%]
2023-01-11T22:04:45.0766465Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cartesian_prod_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0766828Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cdist_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0767177Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cdouble_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0767516Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cdouble_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0767924Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ceil_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0768272Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chalf_cpu_complex128 XFAIL [ 22%]
2023-01-11T22:04:45.0768640Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_inverse_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0768996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_solve_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0769405Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chunk_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0769750Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clamp_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0770088Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clone_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0770431Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clone_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0770787Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_combinations_cpu_complex128 PASSED [ 22%]
2023-01-11T22:04:45.0771155Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_combinations_cpu_float64 PASSED [ 22%]
2023-01-11T22:04:45.0771499Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0771841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0772249Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_physical_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0772607Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_constant_pad_nd_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0772970Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_contiguous_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0773325Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_contiguous_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0773675Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_copysign_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0774079Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_corrcoef_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0774471Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cos_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0774815Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cos_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0775155Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cosh_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0775569Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%]
2023-01-11T22:04:45.0776079Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cov_cpu_complex128 XFAIL [ 23%]
2023-01-11T22:04:45.0776423Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cross_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0776755Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cummax_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0777116Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumprod_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0777513Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumsum_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0777877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumulative_trapezoid_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0778224Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_deg2rad_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0778569Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0778911Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0779262Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_embed_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0779611Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagflat_cpu_complex128 PASSED [ 23%]
2023-01-11T22:04:45.0779968Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagflat_cpu_float64 PASSED [ 23%]
2023-01-11T22:04:45.0780324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_copy_cpu_complex128 PASSED [ 24%]
2023-01-11T22:04:45.0780671Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_cpu_complex128 PASSED [ 24%]
2023-01-11T22:04:45.0781017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diff_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0781418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_digamma_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0781791Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_no_rounding_mode_cpu_complex128 PASSED [ 24%]
2023-01-11T22:04:45.0782159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_trunc_rounding_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0782529Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_double_cpu_complex128 PASSED [ 24%]
2023-01-11T22:04:45.0782925Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_double_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0783259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dsplit_cpu_complex128 PASSED [ 24%]
2023-01-11T22:04:45.0783610Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dsplit_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0783949Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dstack_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0784295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_einsum_cpu_complex128 PASSED [ 24%]
2023-01-11T22:04:45.0784628Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_einsum_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0785035Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%]
2023-01-11T22:04:45.0785492Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eq_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%]
2023-01-11T22:04:45.0786011Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_equal_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%]
2023-01-11T22:04:45.0786428Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_erf_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0786778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_erfc_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0787121Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_erfinv_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0787464Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_exp2_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0787822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0788211Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expm1_cpu_float64 PASSED [ 24%]
2023-01-11T22:04:45.0788633Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eye_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%]
2023-01-11T22:04:45.0789076Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eye_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%]
2023-01-11T22:04:45.0789480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft2_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0789829Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0790176Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft2_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0790518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0790930Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0791276Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0791619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftn_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0791953Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ihfft_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0792373Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft2_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0792732Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0793074Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0793424Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfftn_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0793773Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_rfftn_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0794189Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flip_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0794524Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flip_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0794873Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fliplr_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0795270Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flipud_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0795632Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_power_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0796054Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_floor_divide_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:04:45.0796451Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fmod_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0796824Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_frexp_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0797253Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:04:45.0797654Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gather_cpu_complex128 PASSED [ 25%]
2023-01-11T22:04:45.0798000Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gather_cpu_float64 PASSED [ 25%]
2023-01-11T22:04:45.0798451Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ge_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:04:45.0798959Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_geqrf_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0799414Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_geqrf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0799856Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gradient_cpu_complex128 PASSED [ 26%]
2023-01-11T22:04:45.0800240Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gradient_cpu_float64 PASSED [ 26%]
2023-01-11T22:04:45.0800616Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_grid_sampler_2d_cpu_float64 PASSED [ 26%]
2023-01-11T22:04:45.0801027Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gt_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0801417Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_half_cpu_complex128 XFAIL [ 26%]
2023-01-11T22:04:45.0801758Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_half_cpu_float64 XFAIL [ 26%]
2023-01-11T22:04:45.0802147Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_histc_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0802604Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_histogram_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0803008Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_imag_cpu_complex128 PASSED [ 26%]
2023-01-11T22:04:45.0803450Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_add_cpu_complex128 PASSED [ 26%]
2023-01-11T22:04:45.0803796Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_copy_cpu_float64 PASSED [ 26%]
2023-01-11T22:04:45.0804151Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_fill_cpu_complex128 PASSED [ 26%]
2023-01-11T22:04:45.0804516Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_put_cpu_complex128 PASSED [ 26%]
2023-01-11T22:04:45.0804859Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_select_cpu_float64 PASSED [ 26%]
2023-01-11T22:04:45.0805208Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_inner_cpu_complex128 PASSED [ 26%]
2023-01-11T22:04:45.0805554Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_inner_cpu_float64 PASSED [ 26%]
2023-01-11T22:04:45.0805961Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isclose_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0806419Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isfinite_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0806881Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isfinite_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0807340Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0807791Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isinf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0808236Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isnan_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:04:45.0808765Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isreal_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:04:45.0809223Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 27%]
2023-01-11T22:04:45.0809661Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 27%]
2023-01-11T22:04:45.0810132Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 27%]
2023-01-11T22:04:45.0810550Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 27%]
2023-01-11T22:04:45.0810987Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_kthvalue_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0811380Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ldexp_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0811727Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cond_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0812089Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cross_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0812449Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0812841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_singular_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0813242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvals_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0813613Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvalsh_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0814000Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_householder_product_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0814381Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_householder_product_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0814752Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0815161Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_ex_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0815588Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:04:45.0816064Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:04:45.0816503Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 27%]
2023-01-11T22:04:45.0816878Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0817260Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0817644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_factor_cpu_float64 PASSED [ 27%]
2023-01-11T22:04:45.0818018Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 27%]
2023-01-11T22:04:45.0818391Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_solve_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0818759Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_solve_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0819117Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_norm_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0819489Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_power_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0819923Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%]
2023-01-11T22:04:45.0820479Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%]
2023-01-11T22:04:45.0820956Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%]
2023-01-11T22:04:45.0821431Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_multi_dot_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0821804Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0822254Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 28%]
2023-01-11T22:04:45.0822643Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 28%]
2023-01-11T22:04:45.0823059Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0823435Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0823931Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 28%]
2023-01-11T22:04:45.0824351Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_qr_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0824708Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_slogdet_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0825072Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0825431Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_ex_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0825869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_ex_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0826241Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_triangular_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0826620Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svdvals_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0827039Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorinv_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0827420Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorsolve_cpu_complex128 PASSED [ 28%]
2023-01-11T22:04:45.0827795Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorsolve_cpu_float64 PASSED [ 28%]
2023-01-11T22:04:45.0828162Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vecdot_cpu_complex128 PASSED [ 29%]
2023-01-11T22:04:45.0828567Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linspace_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0828977Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log1p_cpu_complex128 PASSED [ 29%]
2023-01-11T22:04:45.0829329Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log2_cpu_complex128 PASSED [ 29%]
2023-01-11T22:04:45.0829658Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log2_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0830008Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_softmax_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0830377Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_softmax_with_dtype_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0830810Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logaddexp2_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0831219Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_and_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0831694Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_not_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0832166Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_or_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0832700Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_or_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0833186Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_xor_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0833656Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_xor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0834180Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logspace_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0834619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logsumexp_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0835017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_long_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0835506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_long_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0835982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lt_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0836374Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_cpu_complex128 PASSED [ 29%]
2023-01-11T22:04:45.0836763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0837114Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_unpack_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0837457Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mH_cpu_float64 PASSED [ 29%]
2023-01-11T22:04:45.0837864Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_argmin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%]
2023-01-11T22:04:45.0838265Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_cumprod_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0838629Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_cumsum_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0839002Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_log_softmax_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0839371Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_logaddexp_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0839793Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_logsumexp_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0840158Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_mean_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0840521Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_median_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0840866Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_norm_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0841222Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_normalize_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0841586Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_prod_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0842014Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_select_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0842366Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_softmax_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0842724Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_std_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0843077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_std_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0843526Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_sum_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0843870Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_sum_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0844248Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_var_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0844643Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_matmul_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0845072Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_max_pool2d_with_indices_backward_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0845447Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_maximum_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0845795Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mean_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0846205Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_median_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0846601Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 30%]
2023-01-11T22:04:45.0846989Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 30%]
2023-01-11T22:04:45.0847401Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 31%]
2023-01-11T22:04:45.0847807Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mm_cpu_complex128 PASSED [ 31%]
2023-01-11T22:04:45.0848135Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mm_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0848483Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_movedim_cpu_complex128 PASSED [ 31%]
2023-01-11T22:04:45.0848833Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mul_cpu_complex128 PASSED [ 31%]
2023-01-11T22:04:45.0849185Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0849564Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0849924Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nan_to_num_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0850268Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nanmean_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0850608Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nanmedian_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0850960Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nanquantile_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0851308Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nansum_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0851719Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0852181Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_copy_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0852582Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0852950Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_native_dropout_backward_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0853377Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ne_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0853824Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ne_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0854286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0854820Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_full_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0855278Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_full_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0855727Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_zeros_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0856190Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_zeros_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%]
2023-01-11T22:04:45.0856661Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0857135Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 31%]
2023-01-11T22:04:45.0857529Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0857928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0858406Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0858857Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_batch_norm_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0859252Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0859653Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_celu_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0860052Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_conv1d_cpu_complex128 PASSED [ 32%]
2023-01-11T22:04:45.0860476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_conv_transpose3d_cpu_complex128 PASSED [ 32%]
2023-01-11T22:04:45.0860880Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0861281Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_cross_entropy_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0861660Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_ctc_loss_cpu_float64 XFAIL [ 32%]
2023-01-11T22:04:45.0862026Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_dropout2d_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0862405Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_dropout_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0862839Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_elu_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0863220Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_embedding_bag_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0863592Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_embedding_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0864008Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 32%]
2023-01-11T22:04:45.0864433Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0864870Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0865259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_glu_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0865642Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_grid_sample_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0866025Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_group_norm_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0866468Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardshrink_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0866845Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardsigmoid_cpu_float64 PASSED [ 32%]
2023-01-11T22:04:45.0867229Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardswish_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0867608Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardtanh_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0868012Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_huber_loss_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0868451Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_instance_norm_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0868852Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_interpolate_linear_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0869239Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_kl_div_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0869604Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_l1_loss_cpu_complex128 PASSED [ 33%]
2023-01-11T22:04:45.0870010Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_l1_loss_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0870386Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_layer_norm_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0870764Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_leaky_relu_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0871129Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_linear_cpu_complex128 PASSED [ 33%]
2023-01-11T22:04:45.0871525Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0871924Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0872330Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped!) [ 33%]
2023-01-11T22:04:45.0872733Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped!) [ 33%]
2023-01-11T22:04:45.0873120Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_mse_loss_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0873511Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_multi_margin_loss_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0873914Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0874374Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_circular_cpu_complex128 PASSED [ 33%]
2023-01-11T22:04:45.0874764Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_circular_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0875155Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_reflect_cpu_complex128 PASSED [ 33%]
2023-01-11T22:04:45.0875533Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_reflect_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0875925Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_replicate_cpu_float64 PASSED [ 33%]
2023-01-11T22:04:45.0876322Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 33%]
2023-01-11T22:04:45.0876718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pdist_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0877094Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pixel_shuffle_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0877484Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0877862Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_prelu_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0878236Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_selu_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0878609Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0879006Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0879396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_softplus_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0879826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_softsign_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0880202Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_tanhshrink_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0880587Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_threshold_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0880982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0881432Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0881828Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_unfold_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0882284Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_upsample_nearest_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0882659Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_norm_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0882994Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_norm_fro_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0883348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_norm_nuc_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0883849Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ones_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%]
2023-01-11T22:04:45.0884319Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ones_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%]
2023-01-11T22:04:45.0884771Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ones_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%]
2023-01-11T22:04:45.0885241Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ormqr_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0885597Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ormqr_cpu_float64 PASSED [ 34%]
2023-01-11T22:04:45.0885943Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_outer_cpu_complex128 PASSED [ 34%]
2023-01-11T22:04:45.0886287Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_pca_lowrank_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0886639Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_permute_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0886996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_pinverse_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0887455Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 35%]
2023-01-11T22:04:45.0887850Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 35%]
2023-01-11T22:04:45.0888230Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_positive_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0888585Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_positive_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0888918Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_pow_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0889260Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_put_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0889597Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_put_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0889939Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_qr_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0890266Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_qr_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0890606Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_quantile_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0891017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_rad2deg_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0891418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_randint_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%]
2023-01-11T22:04:45.0891874Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_real_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0892286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_real_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0892642Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_reciprocal_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0892983Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_renorm_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0893373Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_repeat_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0893736Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_repeat_interleave_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0894103Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_reshape_as_cpu_complex128 PASSED [ 35%]
2023-01-11T22:04:45.0894444Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_reshape_as_cpu_float64 PASSED [ 35%]
2023-01-11T22:04:45.0894857Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_resize__cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 35%]
2023-01-11T22:04:45.0895341Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_resolve_conj_cpu_complex128 PASSED [ 36%]
2023-01-11T22:04:45.0895701Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_resolve_conj_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0896042Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_resolve_neg_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0896389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_roll_cpu_complex128 PASSED [ 36%]
2023-01-11T22:04:45.0896736Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_roll_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0897067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_rot90_cpu_complex128 PASSED [ 36%]
2023-01-11T22:04:45.0897472Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_round_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0897818Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_rsub_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0898229Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scalar_tensor_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%]
2023-01-11T22:04:45.0898692Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scalar_tensor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%]
2023-01-11T22:04:45.0899105Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scatter_add_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0899460Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scatter_cpu_complex128 PASSED [ 36%]
2023-01-11T22:04:45.0899875Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scatter_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0900227Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scatter_reduce_amax_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0900603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scatter_reduce_amin_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0900970Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_scatter_reduce_prod_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0901443Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_searchsorted_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%]
2023-01-11T22:04:45.0901869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_segment_reduce_lengths_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0902248Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_segment_reduce_offsets_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0902606Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_select_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0903068Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_short_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%]
2023-01-11T22:04:45.0903469Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sign_cpu_float64 PASSED [ 36%]
2023-01-11T22:04:45.0903922Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_signal_windows_blackman_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%]
2023-01-11T22:04:45.0904421Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_signal_windows_general_cosine_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 36%]
2023-01-11T22:04:45.0904946Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_signal_windows_kaiser_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0905493Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_signal_windows_nuttall_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0905907Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sin_cpu_complex128 PASSED [ 37%]
2023-01-11T22:04:45.0906257Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sinc_cpu_complex128 PASSED [ 37%]
2023-01-11T22:04:45.0906593Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sinc_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0906938Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sinh_cpu_complex128 PASSED [ 37%]
2023-01-11T22:04:45.0907286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_slice_cpu_complex128 PASSED [ 37%]
2023-01-11T22:04:45.0907631Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_slice_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0908014Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_softmax_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0908387Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_softmax_with_dtype_cpu_complex128 PASSED [ 37%]
2023-01-11T22:04:45.0908763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_softmax_with_dtype_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0909153Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped!) [ 37%]
2023-01-11T22:04:45.0909588Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0910124Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0910614Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0911295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 37%]
2023-01-11T22:04:45.0911719Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_erfcx_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0912159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0912663Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0913097Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_log_ndtr_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0913521Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0914152Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0914607Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 37%]
2023-01-11T22:04:45.0915334Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 37%]
2023-01-11T22:04:45.0915825Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_special_zeta_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 37%]
2023-01-11T22:04:45.0916234Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_split_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0916629Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_split_list_args_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0916998Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_split_list_args_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0917338Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sqrt_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0917691Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_square_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0918108Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_square_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0918460Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_std_mean_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0918813Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_std_mean_unbiased_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0919180Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_std_unbiased_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0919528Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sub_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0919859Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sum_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0920271Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sum_to_size_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0920622Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_svd_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0920974Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_svd_lowrank_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0921312Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_symeig_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0921651Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_t_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0922006Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_take_along_dim_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0922426Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_take_along_dim_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0922780Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tanh_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0923124Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tanh_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0923635Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tensor_split_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0923982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tensordot_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0924402Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tile_cpu_complex128 PASSED [ 38%]
2023-01-11T22:04:45.0924747Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_to_cpu_float64 PASSED [ 38%]
2023-01-11T22:04:45.0925158Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_to_sparse_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 39%]
2023-01-11T22:04:45.0925548Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_topk_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0925953Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trace_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0926319Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_transpose_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0926667Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_transpose_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0927022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trapezoid_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0927386Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_triangular_solve_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0927816Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_triangular_solve_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0928166Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_triu_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0928509Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_triu_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0928865Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_true_divide_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0929256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_true_divide_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0929596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unbind_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0929952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unflatten_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0930306Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unfold_copy_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0930705Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_uniform_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 39%]
2023-01-11T22:04:45.0931101Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0931447Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_mean_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0931811Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_mean_unbiased_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0932174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_mean_unbiased_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0932543Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_unbiased_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0932972Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_as_complex_cpu_float64 PASSED [ 39%]
2023-01-11T22:04:45.0933331Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_vsplit_cpu_complex128 PASSED [ 39%]
2023-01-11T22:04:45.0933733Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_zeros_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 39%]
2023-01-11T22:04:45.0934194Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_zeros_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 40%]
2023-01-11T22:04:45.0934593Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_T_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0934959Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___getitem___cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0935315Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rdiv___cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0935718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rdiv___cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0936085Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmod___cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0936501Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmul___cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0936859Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmul___cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0937309Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 40%]
2023-01-11T22:04:45.0937740Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 40%]
2023-01-11T22:04:45.0938103Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rsub___cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0938483Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad__softmax_backward_data_cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0938854Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_abs_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0939210Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acos_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0939656Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acosh_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0940083Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acosh_cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0940444Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcdiv_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0940798Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcdiv_cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0941190Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0941564Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_decomposed_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0941948Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_decomposed_cpu_float64 PASSED [ 40%]
2023-01-11T22:04:45.0942354Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmv_cpu_complex128 PASSED [ 40%]
2023-01-11T22:04:45.0942988Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2023-01-11T22:04:45.0943565Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2023-01-11T22:04:45.0944149Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0944718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0945290Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0945887Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0946531Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0946956Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 41%]
2023-01-11T22:04:45.0947365Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 41%]
2023-01-11T22:04:45.0947801Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asin_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0948239Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asinh_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0948587Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atanh_cpu_complex128 PASSED [ 41%]
2023-01-11T22:04:45.0948949Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_1d_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0949321Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_2d_cpu_complex128 PASSED [ 41%]
2023-01-11T22:04:45.0949691Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_3d_cpu_complex128 PASSED [ 41%]
2023-01-11T22:04:45.0950051Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_3d_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0950409Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_baddbmm_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0950821Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bernoulli_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0951248Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bfloat16_cpu_float64 XFAIL [ 41%]
2023-01-11T22:04:45.0951609Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_block_diag_cpu_complex128 PASSED [ 41%]
2023-01-11T22:04:45.0951964Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bmm_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0952518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0952973Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ceil_cpu_float64 PASSED [ 41%]
2023-01-11T22:04:45.0953418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cfloat_cpu_complex128 XFAIL [ 41%]
2023-01-11T22:04:45.0953775Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cfloat_cpu_float64 XFAIL [ 41%]
2023-01-11T22:04:45.0954413Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:04:45.0954578Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0954746Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chunk_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0954921Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clamp_max_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0955090Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clamp_min_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0955255Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clone_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0955433Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_column_stack_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0955616Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_combinations_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0955788Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0955969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_physical_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0956141Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_constant_pad_nd_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0956381Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_constant_pad_nd_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0956573Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_contiguous_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0956746Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_copysign_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0956920Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_corrcoef_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0957093Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_corrcoef_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0957258Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cosh_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0957611Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2023-01-11T22:04:45.0957778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cov_cpu_complex128 XFAIL [ 42%]
2023-01-11T22:04:45.0957932Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cov_cpu_float64 XFAIL [ 42%]
2023-01-11T22:04:45.0958099Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cross_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0958270Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumprod_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0958437Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumsum_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0958630Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumulative_trapezoid_cpu_complex128 PASSED [ 42%]
2023-01-11T22:04:45.0958828Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumulative_trapezoid_cpu_float64 PASSED [ 42%]
2023-01-11T22:04:45.0959056Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0959222Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0959479Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_embed_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0959641Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagflat_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0959822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_copy_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0959998Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_copy_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0960202Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0960389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_scatter_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0960559Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diff_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0960724Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dist_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0960890Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dist_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0961092Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_floor_rounding_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0961308Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0961491Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_trunc_rounding_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0961657Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dot_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0961825Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_double_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0961997Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dstack_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0962164Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dstack_cpu_float64 PASSED [ 43%]
2023-01-11T22:04:45.0962370Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_einsum_cpu_complex128 PASSED [ 43%]
2023-01-11T22:04:45.0962747Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:04:45.0963068Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:04:45.0963505Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:04:45.0963847Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:04:45.0964179Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:04:45.0964514Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:04:45.0964915Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2023-01-11T22:04:45.0965088Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_erfinv_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0965262Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_exp2_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0965432Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_exp_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0965596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_exp_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0965759Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0965928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expm1_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0966376Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2023-01-11T22:04:45.0966555Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftn_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0966738Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftshift_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0966954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftshift_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0967125Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft2_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0967295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0967468Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft2_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0967626Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0967829Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftn_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0968029Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ihfft2_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0968197Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ihfftn_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0968377Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft2_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0968550Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft2_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0968718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0968882Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_rfftn_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0969057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fill_cpu_complex128 PASSED [ 44%]
2023-01-11T22:04:45.0969266Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fill_cpu_float64 PASSED [ 44%]
2023-01-11T22:04:45.0969438Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flatten_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0969603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flip_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0969778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flipud_cpu_complex128 PASSED [ 45%]
2023-01-11T22:04:45.0969945Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flipud_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0970111Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_cpu_complex128 XFAIL [ 45%]
2023-01-11T22:04:45.0970272Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_cpu_float64 XFAIL [ 45%]
2023-01-11T22:04:45.0970446Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_power_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0970612Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_floor_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0970764Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fmax_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0970928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fmin_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0971094Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_frac_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0971435Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0971779Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0971947Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gather_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0972304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0972633Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0972810Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gradient_cpu_complex128 PASSED [ 45%]
2023-01-11T22:04:45.0972996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_half_cpu_complex128 XFAIL [ 45%]
2023-01-11T22:04:45.0973339Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0973671Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0973847Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hsplit_cpu_complex128 PASSED [ 45%]
2023-01-11T22:04:45.0974015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hsplit_cpu_float64 PASSED [ 45%]
2023-01-11T22:04:45.0974188Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hstack_cpu_complex128 PASSED [ 45%]
2023-01-11T22:04:45.0974521Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:04:45.0974717Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_add_cpu_complex128 PASSED [ 46%]
2023-01-11T22:04:45.0974928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_add_cpu_float64 PASSED [ 46%]
2023-01-11T22:04:45.0975101Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_copy_cpu_float64 PASSED [ 46%]
2023-01-11T22:04:45.0975265Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_fill_cpu_complex128 PASSED [ 46%]
2023-01-11T22:04:45.0975442Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_put_cpu_complex128 PASSED [ 46%]
2023-01-11T22:04:45.0975771Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0976177Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0976518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0976859Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0977192Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0977530Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0977859Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0978194Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:04:45.0978396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0978617Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0978830Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0979063Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0979350Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0979562Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0979794Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:04:45.0979960Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_kron_cpu_float64 PASSED [ 46%]
2023-01-11T22:04:45.0980133Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_kthvalue_cpu_float64 PASSED [ 46%]
2023-01-11T22:04:45.0980300Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ldexp_cpu_complex128 PASSED [ 46%]
2023-01-11T22:04:45.0980456Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ldexp_cpu_float64 PASSED [ 46%]
2023-01-11T22:04:45.0980628Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lerp_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0980805Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cond_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0980985Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cross_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0981225Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0981413Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_singular_cpu_complex128 XFAIL [ 47%]
2023-01-11T22:04:45.0981597Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_singular_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0981768Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigh_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0981952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvals_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0982125Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvalsh_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0982304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvalsh_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0982504Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_householder_product_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0982677Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0982855Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_ex_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0983032Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_ex_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0983392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:04:45.0983815Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:04:45.0984173Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:04:45.0984532Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:04:45.0984721Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0984903Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_cpu_float64 PASSED [ 47%]
2023-01-11T22:04:45.0985206Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_norm_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0985418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_power_cpu_complex128 PASSED [ 47%]
2023-01-11T22:04:45.0985779Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:04:45.0986189Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:04:45.0986555Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2023-01-11T22:04:45.0986740Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_multi_dot_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0986923Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_multi_dot_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0987124Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 48%]
2023-01-11T22:04:45.0987302Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0987548Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 48%]
2023-01-11T22:04:45.0987726Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_qr_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0987898Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_qr_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0988092Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_slogdet_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0988325Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0988505Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_ex_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0988692Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_triangular_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0988878Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorinv_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0989057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorsolve_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0989239Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vander_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0989416Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vecdot_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0989601Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vector_norm_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0989840Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vector_norm_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0990013Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log10_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0990184Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log1p_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0990351Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log1p_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0990519Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log2_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0990673Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_cpu_float64 PASSED [ 48%]
2023-01-11T22:04:45.0990867Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_softmax_with_dtype_cpu_complex128 PASSED [ 48%]
2023-01-11T22:04:45.0991041Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logaddexp_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0991242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logdet_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0991414Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logdet_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0991827Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0992176Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0992558Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0992726Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logit_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0993073Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0993468Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0993644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logsumexp_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0993972Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0994371Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0994541Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0994705Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0994883Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_solve_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0995056Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_solve_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0995225Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mH_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0995375Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mH_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0995720Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0996065Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:04:45.0996317Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumprod_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0996501Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumsum_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0996682Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_fill_cpu_complex128 PASSED [ 49%]
2023-01-11T22:04:45.0996865Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_log_softmax_cpu_float64 PASSED [ 49%]
2023-01-11T22:04:45.0997042Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_mean_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0997221Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_median_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0997395Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_normalize_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.0997579Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_normalize_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0997752Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_prod_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0997963Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_select_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0998140Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_std_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0998309Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_sum_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0998518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matmul_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.0998742Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matmul_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0998920Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matrix_exp_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.0999077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matrix_exp_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0999246Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_binary_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0999447Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_pool2d_with_indices_backward_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0999636Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_reduction_no_dim_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0999807Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_maximum_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.0999975Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mean_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.1000173Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.1000345Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_min_binary_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.1000513Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mm_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.1000731Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mode_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.1000906Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mul_cpu_complex128 PASSED [ 50%]
2023-01-11T22:04:45.1001071Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mul_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.1001424Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%]
2023-01-11T22:04:45.1001610Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 50%]
2023-01-11T22:04:45.1001798Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1001971Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nanmedian_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1002138Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nansum_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1002479Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1002642Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_cpu_complex128 PASSED [ 51%]
2023-01-11T22:04:45.1002811Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1003062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_native_dropout_backward_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1003232Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_neg_cpu_complex128 PASSED [ 51%]
2023-01-11T22:04:45.1003481Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_neg_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1003825Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1004166Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1004565Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1004914Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1005294Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1005689Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1006026Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:04:45.1006242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1006441Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1006636Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1006826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool1d_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1007015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv1d_cpu_complex128 PASSED [ 51%]
2023-01-11T22:04:45.1007198Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv2d_cpu_float64 PASSED [ 51%]
2023-01-11T22:04:45.1007400Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose1d_cpu_complex128 PASSED [ 51%]
2023-01-11T22:04:45.1007601Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose2d_cpu_complex128 PASSED [ 51%]
2023-01-11T22:04:45.1007785Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose2d_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1007982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose3d_cpu_complex128 PASSED [ 52%]
2023-01-11T22:04:45.1008242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose3d_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1008444Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1008641Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_cosine_similarity_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1008835Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_cross_entropy_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1009021Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_ctc_loss_cpu_float64 XFAIL [ 52%]
2023-01-11T22:04:45.1009212Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_dropout2d_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1009396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_dropout3d_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1009590Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1009761Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_glu_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1010210Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_grid_sample_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 52%]
2023-01-11T22:04:45.1010400Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_group_norm_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1010619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardshrink_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1010805Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardswish_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1011002Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1011230Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1011412Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_layer_norm_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1011619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_linear_cpu_complex128 PASSED [ 52%]
2023-01-11T22:04:45.1011838Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_local_response_norm_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1012031Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_logsigmoid_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1012227Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1012411Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_pool1d_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1012590Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_pool2d_cpu_float64 PASSED [ 52%]
2023-01-11T22:04:45.1012771Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_pool3d_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1012973Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped!) [ 53%]
2023-01-11T22:04:45.1013168Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1013603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 53%]
2023-01-11T22:04:45.1013823Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1014005Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_normalize_cpu_complex128 PASSED [ 53%]
2023-01-11T22:04:45.1014194Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_circular_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1014389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_constant_cpu_complex128 PASSED [ 53%]
2023-01-11T22:04:45.1014577Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_constant_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1014763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_reflect_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1015198Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pdist_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 53%]
2023-01-11T22:04:45.1015397Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_unshuffle_cpu_complex128 PASSED [ 53%]
2023-01-11T22:04:45.1015593Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1015778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_relu6_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1015961Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_relu_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1016131Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_rrelu_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1016316Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softmin_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1016556Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 PASSED [ 53%]
2023-01-11T22:04:45.1016755Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1016943Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softshrink_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1017160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softsign_cpu_complex128 PASSED [ 53%]
2023-01-11T22:04:45.1017345Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softsign_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1017537Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_tanhshrink_cpu_complex128 PASSED [ 53%]
2023-01-11T22:04:45.1017726Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_tanhshrink_cpu_float64 PASSED [ 53%]
2023-01-11T22:04:45.1017912Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 54%]
2023-01-11T22:04:45.1018128Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [ 54%]
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2023-01-11T22:04:45.1070911Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acos_cpu_complex128 PASSED [ 60%]
2023-01-11T22:04:45.1071074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acos_cpu_float64 PASSED [ 60%]
2023-01-11T22:04:45.1071237Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acosh_cpu_complex128 PASSED [ 60%]
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2023-01-11T22:04:45.1071563Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_add_cpu_float64 PASSED [ 60%]
2023-01-11T22:04:45.1071728Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addbmm_cpu_complex128 PASSED [ 60%]
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2023-01-11T22:04:45.1072122Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcdiv_cpu_complex128 PASSED [ 60%]
2023-01-11T22:04:45.1072286Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcmul_cpu_float64 PASSED [ 60%]
2023-01-11T22:04:45.1072449Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_cpu_complex128 PASSED [ 60%]
2023-01-11T22:04:45.1072635Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_decomposed_cpu_complex128 PASSED [ 60%]
2023-01-11T22:04:45.1072806Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_decomposed_cpu_float64 PASSED [ 60%]
2023-01-11T22:04:45.1072967Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmv_cpu_float64 PASSED [ 60%]
2023-01-11T22:04:45.1073129Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addr_cpu_complex128 PASSED [ 60%]
2023-01-11T22:04:45.1073291Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addr_cpu_float64 PASSED [ 60%]
2023-01-11T22:04:45.1073628Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:04:45.1073961Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:04:45.1074237Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_angle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%]
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2023-01-11T22:04:45.1074760Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:04:45.1075119Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:04:45.1075451Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:04:45.1075646Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 61%]
2023-01-11T22:04:45.1075842Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asin_cpu_complex128 PASSED [ 61%]
2023-01-11T22:04:45.1076007Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asinh_cpu_complex128 PASSED [ 61%]
2023-01-11T22:04:45.1076167Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atanh_cpu_float64 PASSED [ 61%]
2023-01-11T22:04:45.1076369Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1076569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1076770Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_3d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1076938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_baddbmm_cpu_float64 PASSED [ 61%]
2023-01-11T22:04:45.1077199Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bfloat16_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1077397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bfloat16_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1077593Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_block_diag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1077786Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bmm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1077975Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bmm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1078307Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:04:45.1078515Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1078724Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1078925Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_to_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1079320Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:04:45.1079645Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:04:45.1079855Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cartesian_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:04:45.1080052Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cdouble_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
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2023-01-11T22:04:45.1080841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:04:45.1081077Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1081271Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chunk_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1081439Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clamp_min_cpu_float64 PASSED [ 62%]
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2023-01-11T22:04:45.1081874Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_complex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1082070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1082242Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_physical_cpu_float64 PASSED [ 62%]
2023-01-11T22:04:45.1082518Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_constant_pad_nd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1082722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_contiguous_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1082918Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_contiguous_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1083115Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_corrcoef_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1083281Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cosh_cpu_complex128 PASSED [ 62%]
2023-01-11T22:04:45.1083840Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2023-01-11T22:04:45.1084195Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2023-01-11T22:04:45.1084440Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cov_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
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2023-01-11T22:04:45.1085187Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumprod_cpu_complex128 PASSED [ 62%]
2023-01-11T22:04:45.1085354Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumprod_cpu_float64 PASSED [ 62%]
2023-01-11T22:04:45.1085523Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumsum_cpu_complex128 PASSED [ 62%]
2023-01-11T22:04:45.1085687Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumsum_cpu_float64 PASSED [ 62%]
2023-01-11T22:04:45.1085922Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumulative_trapezoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1086157Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_copy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1086358Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:04:45.1086553Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1086763Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_scatter_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1087042Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diff_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1087295Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1087493Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_floor_rounding_cpu_float64 PASSED [ 63%]
2023-01-11T22:04:45.1087684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_no_rounding_mode_cpu_complex128 PASSED [ 63%]
2023-01-11T22:04:45.1087907Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_no_rounding_mode_cpu_float64 PASSED [ 63%]
2023-01-11T22:04:45.1088088Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_trunc_rounding_cpu_float64 PASSED [ 63%]
2023-01-11T22:04:45.1088288Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1088479Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_double_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1088678Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1088873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_einsum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1089065Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_einsum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1089398Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2023-01-11T22:04:45.1089720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2023-01-11T22:04:45.1090051Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2023-01-11T22:04:45.1090383Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2023-01-11T22:04:45.1090706Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%]
2023-01-11T22:04:45.1090876Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_erfc_cpu_float64 PASSED [ 63%]
2023-01-11T22:04:45.1091072Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1091276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
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2023-01-11T22:04:45.1091639Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expm1_cpu_float64 PASSED [ 63%]
2023-01-11T22:04:45.1091844Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:04:45.1092047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1092264Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1092519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1092721Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1092927Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftshift_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1093156Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftshift_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1093356Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1093554Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1093781Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1093983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1094184Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1094392Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftshift_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1094594Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ihfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1094793Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ihfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1095000Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1095191Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1095410Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1095659Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_rfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1095863Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_rfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1096063Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_rfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1096236Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fill_cpu_complex128 PASSED [ 64%]
2023-01-11T22:04:45.1096406Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fill_cpu_float64 PASSED [ 64%]
2023-01-11T22:04:45.1096602Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flatten_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1096850Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fliplr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:04:45.1097063Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flipud_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1097250Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flipud_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1097450Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1097648Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1097831Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_power_cpu_complex128 PASSED [ 65%]
2023-01-11T22:04:45.1098000Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_floor_cpu_float64 PASSED [ 65%]
2023-01-11T22:04:45.1098193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1098354Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fmod_cpu_float64 PASSED [ 65%]
2023-01-11T22:04:45.1098577Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_frexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1098917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1099248Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1099482Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gather_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1099681Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gather_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1100057Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1100423Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1100628Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gradient_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1100835Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_grid_sampler_2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1101175Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1101507Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1101847Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:04:45.1102051Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1102306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1102507Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:04:45.1102674Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_i0_cpu_float64 PASSED [ 65%]
2023-01-11T22:04:45.1103010Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1103341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1103542Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_imag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:04:45.1103715Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_add_cpu_float64 PASSED [ 66%]
2023-01-11T22:04:45.1103894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_copy_cpu_complex128 PASSED [ 66%]
2023-01-11T22:04:45.1104074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_put_cpu_complex128 PASSED [ 66%]
2023-01-11T22:04:45.1104247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_reduce_cpu_float64 PASSED [ 66%]
2023-01-11T22:04:45.1104441Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:04:45.1104708Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_inner_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:04:45.1104939Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_inner_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:04:45.1105278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1105604Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1105975Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1106312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1106641Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1107037Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1107372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1107695Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:04:45.1107910Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:04:45.1108130Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:04:45.1108337Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:04:45.1108537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:04:45.1108755Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:04:45.1108968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:04:45.1109170Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_kron_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1109343Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ldexp_cpu_complex128 PASSED [ 67%]
2023-01-11T22:04:45.1109727Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:04:45.1109938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cond_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1110132Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cross_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1110341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1110542Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1110764Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_singular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1110965Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eig_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1111173Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigh_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1111410Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvals_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1111691Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvalsh_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1111900Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvalsh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1112143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1112334Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1112690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:04:45.1113042Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:04:45.1113449Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:04:45.1113639Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 67%]
2023-01-11T22:04:45.1113862Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1114149Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1114368Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1114580Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1114793Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:04:45.1114998Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1115229Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1115619Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2023-01-11T22:04:45.1115828Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_multi_dot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1116040Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_multi_dot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1116245Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1116468Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1116752Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1116969Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1117219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%]
2023-01-11T22:04:45.1117451Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_qr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1117665Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_slogdet_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1117863Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1118107Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_triangular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1118311Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1118512Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1118722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svdvals_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1118999Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vander_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1119207Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vander_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1119419Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vecdot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1119621Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vecdot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:04:45.1119964Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2023-01-11T22:04:45.1120128Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log10_cpu_complex128 PASSED [ 68%]
2023-01-11T22:04:45.1120295Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log10_cpu_float64 PASSED [ 68%]
2023-01-11T22:04:45.1120533Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log1p_cpu_complex128 PASSED [ 68%]
2023-01-11T22:04:45.1120703Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_cpu_complex128 PASSED [ 69%]
2023-01-11T22:04:45.1120871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_cpu_float64 PASSED [ 69%]
2023-01-11T22:04:45.1121089Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_softmax_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1121305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_softmax_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1121515Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logaddexp2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1121717Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logdet_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1121905Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logdet_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1122255Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1122667Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1123013Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1123490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1123870Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1124252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1124645Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1124848Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1125048Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1125256Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_unpack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1125442Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mH_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
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2023-01-11T22:04:45.1125843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_amax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1126190Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:04:45.1126404Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumprod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1126616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumsum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:04:45.1126795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_fill_cpu_float64 PASSED [ 69%]
2023-01-11T22:04:45.1127008Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_log_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1127221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_logaddexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1127435Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_logsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1127642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1127833Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1128042Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1128221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_scatter_cpu_float64 PASSED [ 70%]
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2023-01-11T22:04:45.1128684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1128905Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_softmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1129107Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_sum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1129310Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matrix_exp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1129566Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_pool2d_with_indices_backward_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1129782Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_reduction_no_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1129985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_reduction_with_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1130214Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_maximum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1130431Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1130656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_min_reduction_no_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:04:45.1130901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_minimum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
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2023-01-11T22:04:45.1131661Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mul_cpu_float64 PASSED [ 70%]
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2023-01-11T22:04:45.1132029Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 71%]
2023-01-11T22:04:45.1132219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 71%]
2023-01-11T22:04:45.1132399Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 71%]
2023-01-11T22:04:45.1132597Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nanmean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
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2023-01-11T22:04:45.1133214Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:04:45.1133420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%]
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2023-01-11T22:04:45.1133831Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_native_batch_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1134039Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_native_layer_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1134363Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:04:45.1134726Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:04:45.1135110Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:04:45.1135478Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:04:45.1135710Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1135935Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1136193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1136421Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1136642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1136871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1137087Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1137293Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_batch_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1137510Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1137734Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:04:45.1137971Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1138158Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_celu_cpu_float64 PASSED [ 72%]
2023-01-11T22:04:45.1138376Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1138647Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1138881Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1139109Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1139338Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1139562Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1139766Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1139954Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_dropout_cpu_float64 PASSED [ 72%]
2023-01-11T22:04:45.1140135Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_elu_cpu_float64 PASSED [ 72%]
2023-01-11T22:04:45.1140357Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 72%]
2023-01-11T22:04:45.1140607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1140923Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1141147Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1141358Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_glu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1141615Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1141832Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardswish_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1142059Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1142268Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_huber_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1142493Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1142720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1142985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1143230Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_kl_div_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:04:45.1143446Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_layer_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1143656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_linear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1143875Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1144087Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1144299Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1144525Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1144796Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1145017Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1145238Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1145467Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1145678Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1145898Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_normalize_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1146142Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_normalize_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1146360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_circular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1146589Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1146838Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1147061Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1147276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1147496Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1147704Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_prelu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1147915Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_relu6_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:04:45.1148101Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_rrelu_cpu_float64 PASSED [ 73%]
2023-01-11T22:04:45.1148540Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%]
2023-01-11T22:04:45.1148727Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_silu_cpu_float64 PASSED [ 73%]
2023-01-11T22:04:45.1148946Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1149174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1149394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1149612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1149820Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softsign_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1150044Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1150267Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_threshold_cpu_float64 PASSED [ 74%]
2023-01-11T22:04:45.1150520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1150746Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1150972Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:04:45.1151313Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2023-01-11T22:04:45.1151647Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2023-01-11T22:04:45.1151872Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
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2023-01-11T22:04:45.1152754Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 74%]
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2023-01-11T22:04:45.1153308Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2023-01-11T22:04:45.1153653Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
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2023-01-11T22:04:45.1154378Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_permute_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
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2023-01-11T22:04:45.1154988Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 75%]
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2023-01-11T22:04:45.1156152Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rad2deg_cpu_float64 PASSED [ 75%]
2023-01-11T22:04:45.1156500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1156837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1157172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randint_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1157502Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1157843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1158278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
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2023-01-11T22:04:45.1159615Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1159973Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
2023-01-11T22:04:45.1160348Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%]
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2023-01-11T22:04:45.1161124Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_round_cpu_float64 PASSED [ 76%]
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2023-01-11T22:04:45.1161485Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rsqrt_cpu_float64 PASSED [ 76%]
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2023-01-11T22:04:45.1162032Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scalar_tensor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1162430Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scalar_tensor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1162605Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scatter_add_cpu_complex128 PASSED [ 76%]
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2023-01-11T22:04:45.1164248Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1164584Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1164815Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sigmoid_cpu_complex128 PASSED [ 76%]
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2023-01-11T22:04:45.1165338Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_bartlett_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1165743Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1166102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_hamming_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1166453Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_hann_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1166785Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:04:45.1166951Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sin_cpu_float64 PASSED [ 76%]
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2023-01-11T22:04:45.1167692Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sparse_sampled_addmm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1168046Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1168394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1168768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1169153Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%]
2023-01-11T22:04:45.1169360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_entr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1169731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1170102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1170306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_i0e_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1170514Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_log_ndtr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1170877Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1171241Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1171465Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_ndtr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1171841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:04:45.1172231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%]
2023-01-11T22:04:45.1172653Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%]
2023-01-11T22:04:45.1173045Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%]
2023-01-11T22:04:45.1173252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_xlog1py_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1173450Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1173663Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_with_sizes_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1173873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_with_sizes_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:04:45.1174040Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sqrt_cpu_float64 PASSED [ 77%]
2023-01-11T22:04:45.1174212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_square_cpu_float64 PASSED [ 78%]
2023-01-11T22:04:45.1174396Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1174614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_mean_unbiased_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1174815Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_unbiased_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1175086Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_stft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1175259Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sub_cpu_complex128 PASSED [ 78%]
2023-01-11T22:04:45.1175424Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sub_cpu_float64 PASSED [ 78%]
2023-01-11T22:04:45.1175622Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1175816Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1176020Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_to_size_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1176210Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_svd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1176405Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_svd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1176603Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_symeig_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1176769Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_t_cpu_complex128 PASSED [ 78%]
2023-01-11T22:04:45.1177047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_along_dim_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1177255Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_along_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1177486Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1177659Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tan_cpu_complex128 PASSED [ 78%]
2023-01-11T22:04:45.1177831Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tanh_cpu_complex128 PASSED [ 78%]
2023-01-11T22:04:45.1178105Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensor_split_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1178288Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1178490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trace_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1178690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trace_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1178897Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapezoid_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:04:45.1179099Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapz_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1179296Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapz_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1179509Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_triangular_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1179684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_true_divide_cpu_float64 PASSED [ 79%]
2023-01-11T22:04:45.1179854Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trunc_cpu_float64 PASSED [ 79%]
2023-01-11T22:04:45.1180051Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unbind_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1180311Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unflatten_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1180524Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_copy_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1180722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1181082Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2023-01-11T22:04:45.1181408Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2023-01-11T22:04:45.1181610Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1181832Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1182080Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_unbiased_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1182286Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_unbiased_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1182489Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vdot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1182673Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vdot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1182878Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_complex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1183103Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1183309Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1183512Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1183712Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_where_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1183935Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_where_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:04:45.1184102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_xlogy_cpu_float64 PASSED [ 79%]
2023-01-11T22:04:45.1184268Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zero__cpu_float64 PASSED [ 80%]
2023-01-11T22:04:45.1184608Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2023-01-11T22:04:45.1185002Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2023-01-11T22:04:45.1185344Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2023-01-11T22:04:45.1185582Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_H_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1185808Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_H_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1186043Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_T_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1186275Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_T_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1186515Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___getitem___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1186750Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___getitem___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1186994Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___radd___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1187289Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___radd___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1187535Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmatmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1187770Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmatmul___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1187953Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 80%]
2023-01-11T22:04:45.1188191Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rsub___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1188441Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad__softmax_backward_data_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:04:45.1188613Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acos_cpu_float64 PASSED [ 80%]
2023-01-11T22:04:45.1188816Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_add_cpu_float64 PASSED [ 80%]
2023-01-11T22:04:45.1188993Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addbmm_cpu_float64 PASSED [ 80%]
2023-01-11T22:04:45.1189175Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcdiv_cpu_complex128 PASSED [ 80%]
2023-01-11T22:04:45.1189413Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_cpu_float64 PASSED [ 80%]
2023-01-11T22:04:45.1189641Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_decomposed_cpu_complex128 PASSED [ 80%]
2023-01-11T22:04:45.1189808Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmv_cpu_complex128 PASSED [ 80%]
2023-01-11T22:04:45.1189983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addr_cpu_complex128 PASSED [ 81%]
2023-01-11T22:04:45.1190154Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addr_cpu_float64 PASSED [ 81%]
2023-01-11T22:04:45.1190504Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1190894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1191253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1191597Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1191934Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1192270Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1192670Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1193016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:04:45.1193209Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 81%]
2023-01-11T22:04:45.1193411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 81%]
2023-01-11T22:04:45.1193603Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_partial_views_cpu_float64 XFAIL [ 81%]
2023-01-11T22:04:45.1193885Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_scatter_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1194211Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1194461Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asin_cpu_complex128 PASSED [ 81%]
2023-01-11T22:04:45.1194700Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asinh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1194937Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asinh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1195168Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1195443Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1195682Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1195910Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1196118Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_baddbmm_cpu_float64 PASSED [ 81%]
2023-01-11T22:04:45.1196359Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bfloat16_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1196662Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bfloat16_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:04:45.1196907Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_block_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1197140Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1197372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1197717Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2023-01-11T22:04:45.1197965Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1198280Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1198624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2023-01-11T22:04:45.1198947Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2023-01-11T22:04:45.1199190Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cartesian_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1199586Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 82%]
2023-01-11T22:04:45.1199860Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1200100Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cdouble_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1200272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ceil_cpu_float64 PASSED [ 82%]
2023-01-11T22:04:45.1200502Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chalf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1200845Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2023-01-11T22:04:45.1201181Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2023-01-11T22:04:45.1201418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1201693Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_inverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1201925Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chunk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1202089Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clamp_cpu_float64 PASSED [ 82%]
2023-01-11T22:04:45.1202302Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clamp_max_cpu_float64 PASSED [ 82%]
2023-01-11T22:04:45.1202540Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clone_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1202777Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_column_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1203024Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_combinations_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:04:45.1203265Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_combinations_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1203683Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1203996Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1204190Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_physical_cpu_complex128 PASSED [ 83%]
2023-01-11T22:04:45.1204375Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_physical_cpu_float64 PASSED [ 83%]
2023-01-11T22:04:45.1204607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_constant_pad_nd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1204846Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_contiguous_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1205021Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cos_cpu_complex128 PASSED [ 83%]
2023-01-11T22:04:45.1205195Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cos_cpu_float64 PASSED [ 83%]
2023-01-11T22:04:45.1205369Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cosh_cpu_complex128 PASSED [ 83%]
2023-01-11T22:04:45.1205537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cosh_cpu_float64 PASSED [ 83%]
2023-01-11T22:04:45.1205894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2023-01-11T22:04:45.1206128Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cov_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1206369Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1206608Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cummax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1206885Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cummin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1207143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumulative_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1207373Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_deg2rad_cpu_float64 PASSED [ 83%]
2023-01-11T22:04:45.1207612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1207849Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_embed_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1208131Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagflat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1208376Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_copy_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1208617Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_copy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1208934Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:04:45.1209170Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diff_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1209399Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diff_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1209576Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_digamma_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1209790Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1209985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 84%]
2023-01-11T22:04:45.1210176Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_no_rounding_mode_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1210369Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_trunc_rounding_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1210605Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1210839Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1211078Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_double_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1211313Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_double_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1211548Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1211780Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1212131Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2023-01-11T22:04:45.1212456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2023-01-11T22:04:45.1212798Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2023-01-11T22:04:45.1213234Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2023-01-11T22:04:45.1213411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_erfc_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1213588Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_erfinv_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1213758Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_exp_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1214022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1214261Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expm1_cpu_float64 PASSED [ 84%]
2023-01-11T22:04:45.1214607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2023-01-11T22:04:45.1214847Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:04:45.1215074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1215317Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1215555Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1215787Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1216022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1216255Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ihfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1216487Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ihfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1216725Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ihfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1216981Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1217252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1217489Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1217719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_rfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1217943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1218174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1218404Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flip_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1218666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flipud_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1218900Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1219084Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_power_cpu_complex128 PASSED [ 85%]
2023-01-11T22:04:45.1219315Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_floor_cpu_float64 PASSED [ 85%]
2023-01-11T22:04:45.1219694Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:04:45.1220022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:04:45.1220253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_half_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:04:45.1220595Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:04:45.1220922Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:04:45.1221267Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1221487Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_add_cpu_float64 PASSED [ 86%]
2023-01-11T22:04:45.1221686Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_copy_cpu_float64 PASSED [ 86%]
2023-01-11T22:04:45.1221869Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_fill_cpu_complex128 PASSED [ 86%]
2023-01-11T22:04:45.1222054Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_put_cpu_complex128 PASSED [ 86%]
2023-01-11T22:04:45.1222235Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_reduce_cpu_float64 PASSED [ 86%]
2023-01-11T22:04:45.1222480Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:04:45.1222722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:04:45.1222967Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_inner_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:04:45.1223247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_inner_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:04:45.1223583Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1223914Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1224257Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1224642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1225016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1225382Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1225727Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1226063Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:04:45.1226310Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:04:45.1226598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:04:45.1226818Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:04:45.1227012Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:04:45.1227231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:04:45.1227438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:04:45.1227676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ldexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1228010Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:04:45.1228186Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lgamma_cpu_float64 PASSED [ 87%]
2023-01-11T22:04:45.1228429Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cond_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1228729Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cond_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1228972Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1229211Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1229447Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1229668Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1229914Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1230223Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvalsh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1230459Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1230699Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1230936Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1231330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:04:45.1231684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:04:45.1231943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1232239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1232512Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1232758Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1232998Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_power_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1233360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:04:45.1233739Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:04:45.1234070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_multi_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1234336Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:04:45.1234588Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1234836Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1235091Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 88%]
2023-01-11T22:04:45.1235319Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1235569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_slogdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1235809Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1236062Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_triangular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1236355Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_triangular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1236610Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1236887Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1237127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vander_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1237372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vector_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1237756Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%]
2023-01-11T22:04:45.1238097Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%]
2023-01-11T22:04:45.1238271Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log1p_cpu_float64 PASSED [ 88%]
2023-01-11T22:04:45.1238436Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log2_cpu_float64 PASSED [ 88%]
2023-01-11T22:04:45.1238614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_cpu_complex128 PASSED [ 88%]
2023-01-11T22:04:45.1238867Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1239100Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logaddexp2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1239348Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1239650Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logcumsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1239892Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1240125Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:04:45.1240472Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%]
2023-01-11T22:04:45.1240888Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:04:45.1241232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:04:45.1241561Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:04:45.1241804Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1242038Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1242276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_unpack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1242506Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mH_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1242744Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1243010Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1243451Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:04:45.1243694Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumprod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1244002Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1244239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_fill_cpu_complex128 PASSED [ 89%]
2023-01-11T22:04:45.1244481Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1244708Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1244894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_scatter_cpu_float64 PASSED [ 89%]
2023-01-11T22:04:45.1245136Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1245374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1245611Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1245853Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1246132Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1246388Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1246631Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matmul_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1246866Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matrix_exp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:04:45.1247126Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_pool2d_with_indices_backward_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1247353Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1247605Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1247862Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1248096Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_min_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1248343Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_min_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1248704Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_min_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1248942Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1249171Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1249448Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_movedim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1249685Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_movedim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1249917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_msort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1250097Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mul_cpu_complex128 PASSED [ 90%]
2023-01-11T22:04:45.1250258Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mul_cpu_float64 PASSED [ 90%]
2023-01-11T22:04:45.1250624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2023-01-11T22:04:45.1250858Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nan_to_num_cpu_float64 PASSED [ 90%]
2023-01-11T22:04:45.1251095Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nanmean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1251332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nanquantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:04:45.1251673Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2023-01-11T22:04:45.1251844Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_neg_cpu_float64 PASSED [ 90%]
2023-01-11T22:04:45.1252191Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2023-01-11T22:04:45.1252534Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2023-01-11T22:04:45.1252896Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2023-01-11T22:04:45.1253243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%]
2023-01-11T22:04:45.1253563Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1253820Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1254081Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1254340Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1254621Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1254873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1255120Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1255436Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1255743Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1255991Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1256242Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1256486Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1256745Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1257013Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1257312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1257576Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose3d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1257838Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1258093Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1258339Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_ctc_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1258536Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_dropout3d_cpu_float64 PASSED [ 91%]
2023-01-11T22:04:45.1258729Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_dropout_cpu_float64 PASSED [ 91%]
2023-01-11T22:04:45.1259044Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:04:45.1259265Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 91%]
2023-01-11T22:04:45.1259490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 91%]
2023-01-11T22:04:45.1259752Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1260036Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1260364Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1260612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_gelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1260890Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_huber_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1261147Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_instance_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1261411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1261676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1261922Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_kl_div_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1262175Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_l1_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1262419Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1262614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_leaky_relu_cpu_float64 PASSED [ 92%]
2023-01-11T22:04:45.1262861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1263123Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_local_response_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1263362Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_logsigmoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1263623Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1263877Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1264130Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1264388Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1264643Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1264901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1265178Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1265438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:04:45.1265628Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_mish_cpu_float64 PASSED [ 92%]
2023-01-11T22:04:45.1265921Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_multilabel_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1266179Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_circular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1266438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_constant_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1266682Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1266934Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_reflect_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1267197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1267453Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1267710Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_shuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1267968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1268219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_unshuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1268479Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1268788Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_prelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1269034Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_relu6_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1269277Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_relu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1269467Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_rrelu_cpu_float64 PASSED [ 93%]
2023-01-11T22:04:45.1269656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_selu_cpu_float64 PASSED [ 93%]
2023-01-11T22:04:45.1270032Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%]
2023-01-11T22:04:45.1270222Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_silu_cpu_float64 PASSED [ 93%]
2023-01-11T22:04:45.1270549Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1270855Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1271118Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1271400Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softplus_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1271649Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softsign_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1271904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1272157Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:04:45.1272404Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1272669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1273083Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:04:45.1273422Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:04:45.1273656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1273895Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_fro_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1274184Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 94%]
2023-01-11T22:04:45.1274534Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:04:45.1274938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:04:45.1275284Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:04:45.1275519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ormqr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1275756Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_outer_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1275994Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_outer_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1276232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_permute_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1276470Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pinverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1276687Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 94%]
2023-01-11T22:04:45.1276897Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 94%]
2023-01-11T22:04:45.1277102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 94%]
2023-01-11T22:04:45.1277340Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 94%]
2023-01-11T22:04:45.1277579Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_positive_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1277814Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_positive_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1277983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_put_cpu_float64 PASSED [ 94%]
2023-01-11T22:04:45.1278211Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:04:45.1278627Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:04:45.1278980Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:04:45.1279314Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:04:45.1279648Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:04:45.1279997Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:04:45.1280232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ravel_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1280420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_renorm_cpu_complex128 PASSED [ 95%]
2023-01-11T22:04:45.1280653Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_renorm_cpu_float64 PASSED [ 95%]
2023-01-11T22:04:45.1280893Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1281147Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_interleave_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1281399Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_interleave_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1281641Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1281881Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1282229Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:04:45.1282458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1282733Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_roll_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1283022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rot90_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1283251Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rot90_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1283563Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_cpu_float64 PASSED [ 95%]
2023-01-11T22:04:45.1283761Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 95%]
2023-01-11T22:04:45.1283961Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 95%]
2023-01-11T22:04:45.1284193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsub_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:04:45.1284568Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scalar_tensor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:04:45.1284810Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_complex128 PASSED [ 95%]
2023-01-11T22:04:45.1284984Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_cpu_complex128 PASSED [ 95%]
2023-01-11T22:04:45.1285162Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_cpu_float64 PASSED [ 96%]
2023-01-11T22:04:45.1285349Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_mean_cpu_float64 PASSED [ 96%]
2023-01-11T22:04:45.1285704Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1285960Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_segment_reduce_lengths_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1286212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_segment_reduce_offsets_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1286448Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1286622Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sgn_cpu_complex128 PASSED [ 96%]
2023-01-11T22:04:45.1286787Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sgn_cpu_float64 PASSED [ 96%]
2023-01-11T22:04:45.1287127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1287292Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sign_cpu_float64 PASSED [ 96%]
2023-01-11T22:04:45.1287656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1288032Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_exponential_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1288391Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_kaiser_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1288564Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sin_cpu_complex128 PASSED [ 96%]
2023-01-11T22:04:45.1288737Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinc_cpu_complex128 PASSED [ 96%]
2023-01-11T22:04:45.1288954Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinh_cpu_complex128 PASSED [ 96%]
2023-01-11T22:04:45.1289191Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1289427Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1289719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1289954Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1290197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:04:45.1290557Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1290907Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1291289Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:04:45.1291531Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_erfcx_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1291768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i1_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1292148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:04:45.1292392Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_log_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1292769Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:04:45.1293212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:04:45.1293486Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1293874Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:04:45.1294273Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:04:45.1294665Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:04:45.1294968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1295218Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1295425Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64 PASSED [ 97%]
2023-01-11T22:04:45.1295662Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1295892Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1296159Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1296388Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1296626Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1296870Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1297108Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1297399Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1297566Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128 PASSED [ 97%]
2023-01-11T22:04:45.1297800Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1298030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:04:45.1298271Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1298507Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1298742Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1299040Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1299274Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1299515Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1299755Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1299987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1300206Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1300384Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128 PASSED [ 98%]
2023-01-11T22:04:45.1300557Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128 PASSED [ 98%]
2023-01-11T22:04:45.1300827Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1301067Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1301307Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1301569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1301801Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1302034Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1302264Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_topk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1302500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1302719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1302965Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1303268Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1303510Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1303738Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:04:45.1303987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1304167Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128 PASSED [ 99%]
2023-01-11T22:04:45.1304339Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_float64 PASSED [ 99%]
2023-01-11T22:04:45.1304520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64 PASSED [ 99%]
2023-01-11T22:04:45.1304693Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64 PASSED [ 99%]
2023-01-11T22:04:45.1304935Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1305221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1305463Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1305813Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2023-01-11T22:04:45.1306151Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2023-01-11T22:04:45.1306541Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2023-01-11T22:04:45.1306879Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2023-01-11T22:04:45.1307111Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1307409Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1307689Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1307939Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1308176Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1308416Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1308636Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1308865Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1309163Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:04:45.1309340Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64 PASSED [ 99%]
2023-01-11T22:04:45.1309520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128 PASSED [ 99%]
2023-01-11T22:04:45.1309861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2023-01-11T22:04:45.1310210Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%]
2023-01-11T22:04:45.1310218Z 
2023-01-11T22:04:45.1310331Z =============================== warnings summary ===============================
2023-01-11T22:04:45.1310541Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2023-01-11T22:04:45.1310891Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2023-01-11T22:04:45.1310977Z     self._mark_plugins_for_rewrite(hook)
2023-01-11T22:04:45.1310994Z 
2023-01-11T22:04:45.1311208Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2023-01-11T22:04:45.1311539Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-8f5bcf87c6ec2634.xml -
2023-01-11T22:04:45.1311681Z = 903 passed, 1493 skipped, 12 deselected, 20 xfailed, 1 warning in 227.85s (0:03:47) =
2023-01-11T22:04:45.1311847Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2023-01-11T22:04:45.1311853Z 
2023-01-11T22:04:45.1312198Z ##[endgroup]
2023-01-11T22:04:45.1312485Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_kzubjyig)
2023-01-11T22:04:45.1312491Z 
2023-01-11T22:06:43.3483693Z 
2023-01-11T22:06:43.3484100Z Expand the folded group to see the log file of test_ops_gradients
2023-01-11T22:06:43.3485084Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_4mzzraq3)
2023-01-11T22:06:43.3489741Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-dc4d520892247283.xml
2023-01-11T22:06:43.3490259Z ============================= test session starts ==============================
2023-01-11T22:06:43.3490956Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T22:06:43.3491311Z cachedir: .pytest_cache
2023-01-11T22:06:43.3493828Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2023-01-11T22:06:43.3494453Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T22:06:43.3495205Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T22:06:43.3495805Z collecting ... collected 4945 items / 8 deselected / 4937 selected
2023-01-11T22:06:43.3787566Z Running 2509 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmod___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__native_batch_norm_legit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__softmax_backward_data_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argsort_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan2_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bernoulli_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cat_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cdist_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cdouble_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cdouble_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ceil_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_char_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_char_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_inverse_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_max_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clone_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_column_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_column_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_combinations_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_complex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_conj_physical_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_constant_pad_nd_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_copysign_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_corrcoef_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_corrcoef_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cos_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cosh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cosh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_count_nonzero_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_count_nonzero_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cov_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cross_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cross_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cummax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumsum_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumulative_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_deg2rad_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagflat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagflat_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_digamma_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_div_no_rounding_mode_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_div_trunc_rounding_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dsplit_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dsplit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dstack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_einsum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_empty_cpu_complex128, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128
2023-01-11T22:06:43.4042084Z 
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2023-01-11T22:06:43.4050398Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
2023-01-11T22:06:43.4050863Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
2023-01-11T22:06:43.4051310Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
2023-01-11T22:06:43.4051822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
2023-01-11T22:06:43.4052274Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  0%]
2023-01-11T22:06:43.4052953Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  0%]
2023-01-11T22:06:43.4053526Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  0%]
2023-01-11T22:06:43.4054119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  0%]
2023-01-11T22:06:43.4054588Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amax_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4055043Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amin_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4055496Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4056059Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2023-01-11T22:06:43.4056646Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2023-01-11T22:06:43.4057229Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2023-01-11T22:06:43.4057676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [  1%]
2023-01-11T22:06:43.4058080Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [  1%]
2023-01-11T22:06:43.4058535Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4059007Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4059467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4059906Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4060366Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4060824Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4061287Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bernoulli_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4061736Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4062230Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4062806Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2023-01-11T22:06:43.4063281Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4063887Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  1%]
2023-01-11T22:06:43.4064362Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  1%]
2023-01-11T22:06:43.4064996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [  1%]
2023-01-11T22:06:43.4065649Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [  1%]
2023-01-11T22:06:43.4066095Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cdist_cpu_float64 PASSED [  1%]
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2023-01-11T22:06:43.4066969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cdouble_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4067420Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ceil_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4067999Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2023-01-11T22:06:43.4068569Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2023-01-11T22:06:43.4069046Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cholesky_inverse_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4069525Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4069985Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clamp_max_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4070432Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_clone_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4070898Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_column_stack_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4071370Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_column_stack_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4071843Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_combinations_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4072302Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_complex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4072768Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_conj_physical_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4073240Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_constant_pad_nd_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4073745Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_copysign_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4074307Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_corrcoef_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4074759Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_corrcoef_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4075250Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cos_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4075704Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cosh_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4076164Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cosh_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4076744Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2023-01-11T22:06:43.4077349Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  2%]
2023-01-11T22:06:43.4077820Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cov_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4078279Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cross_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4078725Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cross_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  2%]
2023-01-11T22:06:43.4079186Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cummax_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4079641Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumsum_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4080119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cumulative_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4080584Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_deg2rad_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4081047Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagflat_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4081508Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagflat_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4081979Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_copy_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4082437Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_diagonal_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4082891Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_digamma_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4083458Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_div_no_rounding_mode_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4083965Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_div_trunc_rounding_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4084435Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dsplit_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4084937Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dsplit_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4085389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_dstack_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4085841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_einsum_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4086484Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2023-01-11T22:06:43.4087057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2023-01-11T22:06:43.4087654Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2023-01-11T22:06:43.4088256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2023-01-11T22:06:43.4088845Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2023-01-11T22:06:43.4089418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  3%]
2023-01-11T22:06:43.4089881Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_erf_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4090331Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_erfc_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4090782Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_exp2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4091214Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_exp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  3%]
2023-01-11T22:06:43.4091668Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_expand_as_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4092136Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_expand_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4092704Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  4%]
2023-01-11T22:06:43.4093165Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_fft2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4093610Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_fft_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4094066Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_fft_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4094519Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_fftn_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4094979Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_hfft2_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4095425Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_hfft2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4095886Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_hfft_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4096374Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_hfftn_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4096829Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifft2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4097271Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifft_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4097763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifft_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4098220Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifftn_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4098684Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifftn_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4099141Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifftshift_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4099609Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ifftshift_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4100071Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_ihfftn_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4100533Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_irfft2_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4100980Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_irfft_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4101439Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_irfftn_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4101899Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_rfft2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4102357Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_rfft_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4102806Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fft_rfftn_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  4%]
2023-01-11T22:06:43.4103253Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_flatten_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4103715Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_flip_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4104170Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_flip_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4104621Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_float_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4105067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_float_power_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4105529Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_floor_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4105973Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_fmod_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4106419Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_frac_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4106884Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_frexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4107468Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2023-01-11T22:06:43.4108067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2023-01-11T22:06:43.4108575Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_gather_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4109023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_gather_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4109590Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2023-01-11T22:06:43.4110169Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
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2023-01-11T22:06:43.4111655Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2023-01-11T22:06:43.4112128Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_hsplit_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4112583Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_hstack_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4113041Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_hypot_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4113602Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  5%]
2023-01-11T22:06:43.4114145Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_imag_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4114612Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_index_fill_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4115078Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_index_put_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:43.4115527Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_index_put_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4115993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_index_select_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4116570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2023-01-11T22:06:43.4117160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2023-01-11T22:06:43.4117735Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2023-01-11T22:06:43.4118323Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2023-01-11T22:06:43.4118946Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2023-01-11T22:06:43.4119407Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [  6%]
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2023-01-11T22:06:43.4122075Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [  6%]
2023-01-11T22:06:43.4122505Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [  6%]
2023-01-11T22:06:43.4122945Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_kthvalue_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4123591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_ldexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4124165Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  6%]
2023-01-11T22:06:43.4124641Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cross_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4125111Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cross_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4125580Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_det_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4126036Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_det_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4126505Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eig_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4126971Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eig_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4127435Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eigh_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  6%]
2023-01-11T22:06:43.4127897Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eigvals_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4128367Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_eigvals_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4128854Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_householder_product_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4129337Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_inv_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4129847Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_inv_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4130322Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_inv_ex_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4130923Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4131586Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4132206Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4132808Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4133418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4133866Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [  7%]
2023-01-11T22:06:43.4134319Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4134788Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4135253Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4135719Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_factor_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4136194Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_factor_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4136656Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4137133Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_norm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4137610Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4138086Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_power_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4138701Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4139300Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4139929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  7%]
2023-01-11T22:06:43.4140431Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_multi_dot_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  7%]
2023-01-11T22:06:43.4140909Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_multi_dot_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4141400Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_norm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4141880Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4142392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  8%]
2023-01-11T22:06:43.4142917Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_qr_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4143392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_slogdet_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4143854Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_solve_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4144333Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_solve_ex_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4144809Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_solve_ex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4145292Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_solve_triangular_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4145756Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_svd_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4146223Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_svd_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4146692Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_svdvals_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4147167Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_tensorinv_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4147637Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_tensorinv_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4148115Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_vander_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4148589Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_vander_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4149058Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_vecdot_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4149518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_vecdot_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4149993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_vector_norm_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4150475Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_vector_norm_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4150947Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log1p_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4151405Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log1p_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4151849Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log2_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4152332Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  8%]
2023-01-11T22:06:43.4152791Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:06:43.4153270Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_log_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:06:43.4153779Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:06:43.4154324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logcumsumexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
2023-01-11T22:06:43.4154926Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:06:43.4155525Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:06:43.4156113Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:06:43.4156703Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [  9%]
2023-01-11T22:06:43.4157177Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [  9%]
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2023-01-11T22:06:43.4182676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 11%]
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2023-01-11T22:06:43.4197204Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
2023-01-11T22:06:43.4197692Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
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2023-01-11T22:06:43.4198716Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 12%]
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2023-01-11T22:06:43.4203625Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pad_replicate_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:06:43.4204227Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
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2023-01-11T22:06:43.4205313Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
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2023-01-11T22:06:43.4207015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_prelu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:06:43.4207560Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_relu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
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2023-01-11T22:06:43.4209234Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:06:43.4209833Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_softplus_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
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2023-01-11T22:06:43.4212023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
2023-01-11T22:06:43.4212567Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 13%]
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2023-01-11T22:06:43.4255400Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_scatter_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
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2023-01-11T22:06:43.4264105Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
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2023-01-11T22:06:43.4267117Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
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2023-01-11T22:06:43.4268235Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
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2023-01-11T22:06:43.4269348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%]
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2023-01-11T22:06:43.4285876Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_tensordot_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4286331Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_to_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4286804Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_to_sparse_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4287313Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_topk_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4287772Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trace_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4288241Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_transpose_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4288710Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4289160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trapz_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4289624Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trapz_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4290091Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_triangular_solve_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4290559Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_triu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4291022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_true_divide_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4291467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trunc_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4291922Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unbind_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4292387Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unflatten_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4292849Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unfold_copy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4293348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unfold_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4293955Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2023-01-11T22:06:43.4294551Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%]
2023-01-11T22:06:43.4295070Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unsqueeze_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4295524Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unsqueeze_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%]
2023-01-11T22:06:43.4295989Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4296454Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_mean_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4296929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_mean_unbiased_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4297398Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_mean_unbiased_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4297877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4298347Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_as_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4298815Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_copy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4299268Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4299730Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4300189Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vsplit_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4300650Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vsplit_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4301116Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vstack_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4301559Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_where_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4302020Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zero__cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4302475Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zero__cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%]
2023-01-11T22:06:43.4303052Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2023-01-11T22:06:43.4303638Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%]
2023-01-11T22:06:43.4304055Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_H_cpu_float64 PASSED [ 19%]
2023-01-11T22:06:43.4304412Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___getitem___cpu_float64 PASSED [ 19%]
2023-01-11T22:06:43.4304808Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmatmul___cpu_complex128 PASSED [ 19%]
2023-01-11T22:06:43.4305163Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmatmul___cpu_float64 PASSED [ 19%]
2023-01-11T22:06:43.4305520Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rsub___cpu_complex128 PASSED [ 19%]
2023-01-11T22:06:43.4305870Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rsub___cpu_float64 PASSED [ 19%]
2023-01-11T22:06:43.4306247Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_abs_cpu_complex128 PASSED [ 19%]
2023-01-11T22:06:43.4306597Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acos_cpu_complex128 PASSED [ 19%]
2023-01-11T22:06:43.4306951Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acos_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4307304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acosh_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4307644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_add_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4307996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addbmm_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4308353Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcdiv_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4308696Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcdiv_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4309046Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcmul_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4309398Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4309746Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4310104Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_decomposed_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4310482Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_decomposed_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4310845Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmv_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4311197Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addr_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4311602Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_allclose_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%]
2023-01-11T22:06:43.4312018Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_amin_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4312373Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_angle_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4312708Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_angle_cpu_float64 PASSED [ 20%]
2023-01-11T22:06:43.4313121Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_any_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%]
2023-01-11T22:06:43.4313588Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_arange_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%]
2023-01-11T22:06:43.4314119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argmin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%]
2023-01-11T22:06:43.4314577Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argwhere_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%]
2023-01-11T22:06:43.4315050Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argwhere_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%]
2023-01-11T22:06:43.4315486Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 20%]
2023-01-11T22:06:43.4315888Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_partial_views_cpu_complex128 PASSED [ 20%]
2023-01-11T22:06:43.4316262Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_scatter_cpu_complex128 XFAIL [ 20%]
2023-01-11T22:06:43.4316678Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_scatter_cpu_float64 XFAIL [ 21%]
2023-01-11T22:06:43.4317042Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asin_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4317394Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asinh_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4317733Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atan2_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4318118Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atan_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4318466Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atan_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4318821Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atanh_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4319164Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_1d_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4319527Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_3d_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4319887Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_baddbmm_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4320234Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bfloat16_cpu_complex128 XFAIL [ 21%]
2023-01-11T22:06:43.4320587Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bmm_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4320936Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bmm_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4321343Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bool_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:06:43.4321788Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bool_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:06:43.4322196Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_to_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4322617Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_byte_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:06:43.4323030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cartesian_prod_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4323482Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cat_cpu_complex128 PASSED [ 21%]
2023-01-11T22:06:43.4323882Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cat_cpu_float64 PASSED [ 21%]
2023-01-11T22:06:43.4324236Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cfloat_cpu_complex128 XFAIL [ 21%]
2023-01-11T22:06:43.4324585Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cfloat_cpu_float64 XFAIL [ 21%]
2023-01-11T22:06:43.4324920Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chalf_cpu_float64 XFAIL [ 21%]
2023-01-11T22:06:43.4325326Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_char_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:06:43.4325792Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_char_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%]
2023-01-11T22:06:43.4326184Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4326544Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4326912Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_inverse_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4327286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_solve_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4327638Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chunk_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4327995Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clamp_max_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4328349Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clamp_min_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4328764Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_column_stack_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4329167Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_column_stack_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4329523Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_complex_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4329929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_physical_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4330293Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_constant_pad_nd_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4330660Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_corrcoef_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4331015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cosh_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4331433Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_count_nonzero_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%]
2023-01-11T22:06:43.4331824Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cov_cpu_float64 XFAIL [ 22%]
2023-01-11T22:06:43.4332169Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cross_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4332517Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cummin_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4332869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumprod_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4333211Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumsum_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4333583Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumulative_trapezoid_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4333958Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_embed_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4334306Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_copy_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4334664Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4335033Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_scatter_cpu_complex128 PASSED [ 22%]
2023-01-11T22:06:43.4335407Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_scatter_cpu_float64 PASSED [ 22%]
2023-01-11T22:06:43.4335760Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diff_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4336111Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dist_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4336456Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dist_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4336823Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_floor_rounding_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4337184Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_no_rounding_mode_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4337545Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dot_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4337888Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dot_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4338228Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dstack_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4338639Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%]
2023-01-11T22:06:43.4339108Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%]
2023-01-11T22:06:43.4339580Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%]
2023-01-11T22:06:43.4340062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eq_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%]
2023-01-11T22:06:43.4340524Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_equal_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%]
2023-01-11T22:06:43.4340917Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_exp_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4341264Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_exp_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4341639Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_as_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4341998Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_as_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4342356Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4342702Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft2_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4343040Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4343397Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftn_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4343750Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftn_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4344098Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftshift_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4344467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftshift_cpu_float64 PASSED [ 23%]
2023-01-11T22:06:43.4344825Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft2_cpu_complex128 PASSED [ 23%]
2023-01-11T22:06:43.4345183Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfftn_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4345526Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfftn_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4345881Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft2_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4346233Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft2_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4346589Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4346935Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftn_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4347301Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftshift_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4347670Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftshift_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4348017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ihfft2_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4348368Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ihfftn_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4348722Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft2_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4349077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfftn_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4349421Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_rfft2_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4349769Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_rfft_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4350115Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fill_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4350451Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fill_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4350803Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flatten_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4351154Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flatten_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4351499Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fliplr_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4351872Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flipud_cpu_complex128 PASSED [ 24%]
2023-01-11T22:06:43.4352227Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_cpu_complex128 XFAIL [ 24%]
2023-01-11T22:06:43.4352571Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_cpu_float64 XFAIL [ 24%]
2023-01-11T22:06:43.4352927Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_power_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4353316Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_floor_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4353662Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fmax_cpu_float64 PASSED [ 24%]
2023-01-11T22:06:43.4354077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fmin_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4354410Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_frac_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4354821Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4355295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4355762Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4356212Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_heaviside_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4356688Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_histogramdd_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4357103Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hsplit_cpu_complex128 PASSED [ 25%]
2023-01-11T22:06:43.4357458Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hsplit_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4357801Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hstack_cpu_complex128 PASSED [ 25%]
2023-01-11T22:06:43.4358151Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hstack_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4358497Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hypot_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4358841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_i0_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4359238Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_igamma_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4359709Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_igammac_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4360112Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_add_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4360476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_copy_cpu_complex128 PASSED [ 25%]
2023-01-11T22:06:43.4360830Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_fill_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4361184Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_put_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4361542Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_reduce_cpu_float64 PASSED [ 25%]
2023-01-11T22:06:43.4361901Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_select_cpu_complex128 PASSED [ 25%]
2023-01-11T22:06:43.4362325Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_int_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4362785Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_int_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4363245Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isclose_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4363889Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isinf_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%]
2023-01-11T22:06:43.4364352Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isnan_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:06:43.4364815Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isneginf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:06:43.4365318Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isposinf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:06:43.4365763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isreal_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:06:43.4366165Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_istft_cpu_complex128 XFAIL [ 26%]
2023-01-11T22:06:43.4366566Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 26%]
2023-01-11T22:06:43.4366994Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 26%]
2023-01-11T22:06:43.4367413Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 26%]
2023-01-11T22:06:43.4367843Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 26%]
2023-01-11T22:06:43.4368256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 26%]
2023-01-11T22:06:43.4368667Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 26%]
2023-01-11T22:06:43.4369036Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_kron_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4369389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_kron_cpu_float64 PASSED [ 26%]
2023-01-11T22:06:43.4369740Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ldexp_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4370151Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_le_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%]
2023-01-11T22:06:43.4370540Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lerp_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4370894Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lerp_cpu_float64 PASSED [ 26%]
2023-01-11T22:06:43.4371247Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lgamma_cpu_float64 PASSED [ 26%]
2023-01-11T22:06:43.4371602Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cond_cpu_float64 PASSED [ 26%]
2023-01-11T22:06:43.4371956Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cross_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4372324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_cpu_float64 PASSED [ 26%]
2023-01-11T22:06:43.4372698Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_singular_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4373058Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eig_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4373415Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eig_cpu_float64 PASSED [ 26%]
2023-01-11T22:06:43.4373777Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigh_cpu_complex128 PASSED [ 26%]
2023-01-11T22:06:43.4374139Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigh_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4374490Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvals_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4374858Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvalsh_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4375253Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4375626Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_ex_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4376046Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:06:43.4376569Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:06:43.4377057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:06:43.4377540Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:06:43.4377962Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 27%]
2023-01-11T22:06:43.4378359Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4378753Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4379140Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_factor_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4379506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_factor_ex_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4379885Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_norm_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4380261Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_power_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4380691Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%]
2023-01-11T22:06:43.4381129Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_multi_dot_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4381495Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4381850Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4382213Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_hermitian_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4382656Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 27%]
2023-01-11T22:06:43.4383089Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_qr_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4383458Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_slogdet_cpu_complex128 PASSED [ 27%]
2023-01-11T22:06:43.4383814Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_cpu_float64 PASSED [ 27%]
2023-01-11T22:06:43.4384191Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_triangular_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4384570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svd_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4384934Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svd_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4385281Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svdvals_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4385650Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorinv_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4386025Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vander_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4386377Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vander_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4386771Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vecdot_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4387146Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vector_norm_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4387510Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vector_norm_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4387967Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linspace_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%]
2023-01-11T22:06:43.4388375Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log10_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4388708Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log10_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4389051Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log1p_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4389397Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4389738Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_cpu_float64 PASSED [ 28%]
2023-01-11T22:06:43.4390094Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_softmax_with_dtype_cpu_complex128 PASSED [ 28%]
2023-01-11T22:06:43.4390464Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logaddexp_cpu_float64 PASSED [ 28%]
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2023-01-11T22:06:43.4493954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unsqueeze_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4494307Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4494645Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_mean_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4494998Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_var_unbiased_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4495352Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_vdot_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4495698Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_vdot_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4496037Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_as_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4496383Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_as_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4496736Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_as_real_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4497090Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_copy_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4497425Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4497767Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_view_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4498113Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_vsplit_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4498445Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_vstack_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4498791Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_vstack_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4499136Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_where_cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4499483Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_where_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4499814Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_xlogy_cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4500160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_zero__cpu_complex128 PASSED [ 39%]
2023-01-11T22:06:43.4500503Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_zero__cpu_float64 PASSED [ 39%]
2023-01-11T22:06:43.4500904Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_zeros_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 39%]
2023-01-11T22:06:43.4501376Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_zeros_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 39%]
2023-01-11T22:06:43.4501814Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_H_cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4502164Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_H_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4502493Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_T_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4502849Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___getitem___cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4503244Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___radd___cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4503604Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___radd___cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4503954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmatmul___cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4504320Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmatmul___cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4504676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rsub___cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4505039Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad__native_batch_norm_legit_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4505410Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_abs_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4505575Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acos_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4505746Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_add_cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4505911Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_add_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4506084Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addbmm_cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4506252Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addbmm_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4506424Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcmul_cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4506657Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcmul_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4506913Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4507090Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmv_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4507258Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addr_cpu_complex128 PASSED [ 40%]
2023-01-11T22:06:43.4507429Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addr_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4507817Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%]
2023-01-11T22:06:43.4508062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_amax_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4508332Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_amin_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:43.4508633Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_angle_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4508892Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_angle_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4509497Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4510095Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4510644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4511252Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4512007Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4512385Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_partial_views_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4512757Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_partial_views_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4513205Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_scatter_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4513568Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_scatter_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4513885Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asin_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4514290Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asinh_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4514631Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atan2_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4514958Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atan_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4515287Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atan_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4515606Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atanh_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4515954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_1d_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4516289Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_2d_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4516613Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_baddbmm_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4516946Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bfloat16_cpu_complex128 XFAIL [ 41%]
2023-01-11T22:06:43.4517283Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_block_diag_cpu_float64 PASSED [ 41%]
2023-01-11T22:06:43.4517612Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bmm_cpu_complex128 PASSED [ 41%]
2023-01-11T22:06:43.4518287Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4518927Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%]
2023-01-11T22:06:43.4519293Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_tensors_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4519652Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_tensors_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4520002Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_to_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4520336Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_to_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4520991Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2023-01-11T22:06:43.4521655Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2023-01-11T22:06:43.4522016Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cartesian_prod_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4522371Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cartesian_prod_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4523128Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 42%]
2023-01-11T22:06:43.4524160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 42%]
2023-01-11T22:06:43.4524836Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cdist_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 42%]
2023-01-11T22:06:43.4525174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cdouble_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4525504Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cdouble_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4525911Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chalf_cpu_complex128 XFAIL [ 42%]
2023-01-11T22:06:43.4526215Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chalf_cpu_float64 XFAIL [ 42%]
2023-01-11T22:06:43.4526859Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%]
2023-01-11T22:06:43.4527200Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4527563Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_inverse_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4527917Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_inverse_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4528274Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_solve_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4528624Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_solve_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4528954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chunk_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4529282Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clamp_cpu_float64 PASSED [ 42%]
2023-01-11T22:06:43.4529596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clone_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4529950Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_column_stack_cpu_complex128 PASSED [ 42%]
2023-01-11T22:06:43.4530302Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_combinations_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4530634Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_complex_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4530960Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4531308Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_physical_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4531646Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_contiguous_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4531983Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cos_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4532289Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cos_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4532617Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cosh_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4533308Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%]
2023-01-11T22:06:43.4533640Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cross_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4533979Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cummax_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4534310Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cummin_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4534648Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumprod_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4534982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumsum_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4535306Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_deg2rad_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4535618Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_embed_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4536031Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagflat_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4536382Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4536741Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_scatter_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4537165Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diff_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4537497Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_digamma_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4537851Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_no_rounding_mode_cpu_float64 PASSED [ 43%]
2023-01-11T22:06:43.4538179Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dot_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4538518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_double_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4538846Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dsplit_cpu_complex128 PASSED [ 43%]
2023-01-11T22:06:43.4539169Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dsplit_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4539492Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_einsum_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4540164Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2023-01-11T22:06:43.4540481Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_erf_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4540805Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_erfc_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4541144Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_as_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4541486Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_as_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4541811Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4542456Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%]
2023-01-11T22:06:43.4542802Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft2_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4543141Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft2_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4543475Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4543798Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4544127Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftn_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4544470Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft2_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4544804Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4545141Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfftn_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4545462Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfftn_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4545802Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft2_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4546141Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4546476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftn_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4546828Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftshift_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4547257Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftshift_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4547594Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ihfft_cpu_float64 PASSED [ 44%]
2023-01-11T22:06:43.4547937Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4548281Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfftn_cpu_complex128 PASSED [ 44%]
2023-01-11T22:06:43.4548649Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfftn_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4548979Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_rfft2_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4549311Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_rfft_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4549646Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flatten_cpu_complex128 PASSED [ 45%]
2023-01-11T22:06:43.4549985Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flip_cpu_complex128 PASSED [ 45%]
2023-01-11T22:06:43.4550317Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fliplr_cpu_complex128 PASSED [ 45%]
2023-01-11T22:06:43.4550647Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fliplr_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4550995Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_power_cpu_complex128 PASSED [ 45%]
2023-01-11T22:06:43.4551681Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4551993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fmod_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4552321Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_frexp_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4552953Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4553600Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4553932Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gather_cpu_complex128 PASSED [ 45%]
2023-01-11T22:06:43.4554673Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4555017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gradient_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4555728Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_grid_sampler_2d_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 45%]
2023-01-11T22:06:43.4556355Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4556686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_half_cpu_float64 XFAIL [ 45%]
2023-01-11T22:06:43.4557334Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4557991Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4558326Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hstack_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4558651Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hypot_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4558968Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_i0_cpu_float64 PASSED [ 45%]
2023-01-11T22:06:43.4559623Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%]
2023-01-11T22:06:43.4560042Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_imag_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4560396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_copy_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4560741Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_fill_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4561058Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_put_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4561452Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_reduce_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4561801Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_select_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4562142Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_select_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4562452Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_inner_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4562778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_inner_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4563526Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4564183Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4564837Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4565463Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4566121Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4566788Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4567436Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4567770Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_istft_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4568198Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:06:43.4568596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:06:43.4568987Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%]
2023-01-11T22:06:43.4569324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_kron_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4569959Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%]
2023-01-11T22:06:43.4570284Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lerp_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4570595Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lgamma_cpu_float64 PASSED [ 46%]
2023-01-11T22:06:43.4570948Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cond_cpu_complex128 PASSED [ 46%]
2023-01-11T22:06:43.4571293Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cross_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4571646Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4571992Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eig_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4572441Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eig_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4572795Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigh_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4573142Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvals_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4573507Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_householder_product_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4573910Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4574640Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:06:43.4575321Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:06:43.4575705Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 47%]
2023-01-11T22:06:43.4576069Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 47%]
2023-01-11T22:06:43.4576436Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4576782Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4577121Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4577481Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4577832Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4578189Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_ex_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4578541Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_solve_cpu_complex128 PASSED [ 47%]
2023-01-11T22:06:43.4578892Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_solve_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4579240Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_norm_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4579596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_power_cpu_float64 PASSED [ 47%]
2023-01-11T22:06:43.4580289Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%]
2023-01-11T22:06:43.4580636Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_cpu_complex128 XFAIL [ 47%]
2023-01-11T22:06:43.4580974Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_cpu_float64 XFAIL [ 47%]
2023-01-11T22:06:43.4581346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 48%]
2023-01-11T22:06:43.4581688Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4582026Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4582392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_hermitian_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4582883Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 48%]
2023-01-11T22:06:43.4583231Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_slogdet_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4583574Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4584017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_ex_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4584396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_triangular_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4584747Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svd_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4585110Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svd_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4585467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svdvals_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4585817Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svdvals_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4586174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorinv_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4586538Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorsolve_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4586879Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vander_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4587230Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vecdot_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4587916Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2023-01-11T22:06:43.4588582Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%]
2023-01-11T22:06:43.4588897Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log10_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4589229Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log2_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4589563Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_cpu_complex128 PASSED [ 48%]
2023-01-11T22:06:43.4589903Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_softmax_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4590268Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_softmax_with_dtype_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4590606Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logaddexp2_cpu_float64 PASSED [ 48%]
2023-01-11T22:06:43.4590956Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logcumsumexp_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4591635Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:06:43.4592295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:06:43.4592951Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:06:43.4593615Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:06:43.4594355Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:06:43.4595014Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%]
2023-01-11T22:06:43.4595361Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_unpack_cpu_complex128 PASSED [ 49%]
2023-01-11T22:06:43.4595705Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_unpack_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4596034Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mT_cpu_complex128 PASSED [ 49%]
2023-01-11T22:06:43.4596436Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mT_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4596781Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_amax_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4597119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_amin_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4597459Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumprod_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4597871Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumsum_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4598206Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_fill_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4598586Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped!) [ 49%]
2023-01-11T22:06:43.4598936Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_logsumexp_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4599291Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_mean_cpu_complex128 PASSED [ 49%]
2023-01-11T22:06:43.4599629Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_norm_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4599980Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_prod_cpu_complex128 PASSED [ 49%]
2023-01-11T22:06:43.4600336Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_scatter_cpu_complex128 PASSED [ 49%]
2023-01-11T22:06:43.4600675Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_scatter_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4601029Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_select_cpu_complex128 PASSED [ 49%]
2023-01-11T22:06:43.4601373Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_softmax_cpu_float64 PASSED [ 49%]
2023-01-11T22:06:43.4601709Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_softmin_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4602057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_std_cpu_complex128 PASSED [ 50%]
2023-01-11T22:06:43.4602404Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_sum_cpu_complex128 PASSED [ 50%]
2023-01-11T22:06:43.4602746Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_var_cpu_complex128 PASSED [ 50%]
2023-01-11T22:06:43.4603085Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_var_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4603582Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_reduction_with_dim_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4603894Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mean_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4604226Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_median_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4604592Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4604975Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 50%]
2023-01-11T22:06:43.4605346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_variadic_tensors_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4605702Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_min_reduction_no_dim_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4606061Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_min_reduction_with_dim_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4606391Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_minimum_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4606710Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mm_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4607029Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_movedim_cpu_complex128 PASSED [ 50%]
2023-01-11T22:06:43.4607463Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_movedim_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4607800Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_msort_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4608127Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mv_cpu_complex128 PASSED [ 50%]
2023-01-11T22:06:43.4608441Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mv_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4608850Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4609176Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nan_to_num_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4609508Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nanmean_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4609848Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nanquantile_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:43.4610524Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%]
2023-01-11T22:06:43.4610874Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_native_batch_norm_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4611223Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_native_layer_norm_cpu_float64 XFAIL [ 51%]
2023-01-11T22:06:43.4611864Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:06:43.4612497Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:06:43.4613170Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:06:43.4613873Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:06:43.4614543Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:06:43.4615207Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%]
2023-01-11T22:06:43.4615604Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4615975Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4616368Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4616755Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4617139Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_alpha_dropout_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4617508Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool2d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4617874Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool3d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4618247Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_batch_norm_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4618612Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_bilinear_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4619001Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4619481Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4619822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_celu_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4620182Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv1d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4620552Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv2d_cpu_complex128 PASSED [ 51%]
2023-01-11T22:06:43.4620977Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4621344Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_dropout_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4621701Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_elu_cpu_float64 PASSED [ 51%]
2023-01-11T22:06:43.4622459Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 52%]
2023-01-11T22:06:43.4622825Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_embedding_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4623237Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4623656Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 52%]
2023-01-11T22:06:43.4624087Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4624480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4624869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4625231Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_gelu_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4625969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardsigmoid_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 52%]
2023-01-11T22:06:43.4626335Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardtanh_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4626732Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4627092Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_huber_loss_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4627467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_instance_norm_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4627833Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_area_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4628229Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4628617Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_linear_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4629009Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_trilinear_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4629369Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_kl_div_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4629742Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_l1_loss_cpu_complex128 PASSED [ 52%]
2023-01-11T22:06:43.4630099Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_l1_loss_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4630464Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_leaky_relu_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4630887Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_linear_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4631274Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4631660Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped!) [ 52%]
2023-01-11T22:06:43.4632090Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [ 52%]
2023-01-11T22:06:43.4632487Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped!) [ 53%]
2023-01-11T22:06:43.4632848Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_mish_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4633212Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_mse_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4634064Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 53%]
2023-01-11T22:06:43.4634426Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_nll_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4634804Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_normalize_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4635189Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_circular_cpu_complex128 PASSED [ 53%]
2023-01-11T22:06:43.4635565Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_reflect_cpu_complex128 PASSED [ 53%]
2023-01-11T22:06:43.4635930Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_replicate_cpu_complex128 PASSED [ 53%]
2023-01-11T22:06:43.4636313Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_replicate_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4636710Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 53%]
2023-01-11T22:06:43.4637091Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pairwise_distance_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4637476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 PASSED [ 53%]
2023-01-11T22:06:43.4637849Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4638225Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4638583Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_prelu_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4638938Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_selu_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4639669Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 53%]
2023-01-11T22:06:43.4640028Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_silu_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4640408Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4640792Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4641160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softplus_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4641522Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_threshold_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4641989Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 PASSED [ 53%]
2023-01-11T22:06:43.4642408Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 53%]
2023-01-11T22:06:43.4642786Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_unfold_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4643176Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_upsample_nearest_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4643974Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%]
2023-01-11T22:06:43.4644318Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4644660Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_fro_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4644993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_nuc_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4645409Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 54%]
2023-01-11T22:06:43.4646077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%]
2023-01-11T22:06:43.4646712Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%]
2023-01-11T22:06:43.4647389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%]
2023-01-11T22:06:43.4648030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%]
2023-01-11T22:06:43.4648369Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ormqr_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4648682Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ormqr_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4649018Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_outer_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4649361Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_pca_lowrank_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4649694Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_permute_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4650030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_pinverse_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4650359Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_polar_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4650730Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 54%]
2023-01-11T22:06:43.4651126Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 54%]
2023-01-11T22:06:43.4651521Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 54%]
2023-01-11T22:06:43.4651848Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_positive_cpu_complex128 PASSED [ 54%]
2023-01-11T22:06:43.4652181Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_positive_cpu_float64 PASSED [ 54%]
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2023-01-11T22:06:43.4709510Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_copy_cpu_float64 PASSED [ 59%]
2023-01-11T22:06:43.4709832Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_cpu_complex128 PASSED [ 60%]
2023-01-11T22:06:43.4710152Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vsplit_cpu_float64 PASSED [ 60%]
2023-01-11T22:06:43.4710483Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zero__cpu_complex128 PASSED [ 60%]
2023-01-11T22:06:43.4710784Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zero__cpu_float64 PASSED [ 60%]
2023-01-11T22:06:43.4711420Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:06:43.4712060Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:06:43.4712727Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%]
2023-01-11T22:06:43.4713112Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_H_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4713494Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_H_cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4713870Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_T_cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4714332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___getitem___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4714718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___getitem___cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4715109Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___radd___cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4715488Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rmatmul___cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4715868Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rmul___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4716331Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rmul___cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4716693Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rpow___cpu_float64 SKIPPED (Skipped!) [ 60%]
2023-01-11T22:06:43.4717076Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rsub___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4717509Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rsub___cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4717937Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad__softmax_backward_data_cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%]
2023-01-11T22:06:43.4718607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_abs_cpu_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 60%]
2023-01-11T22:06:43.4718932Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_abs_cpu_float64 PASSED [ 60%]
2023-01-11T22:06:43.4719253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acosh_cpu_float64 PASSED [ 60%]
2023-01-11T22:06:43.4719568Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcdiv_cpu_float64 PASSED [ 60%]
2023-01-11T22:06:43.4719908Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcmul_cpu_complex128 PASSED [ 60%]
2023-01-11T22:06:43.4720230Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_cpu_float64 PASSED [ 61%]
2023-01-11T22:06:43.4720561Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmv_cpu_complex128 PASSED [ 61%]
2023-01-11T22:06:43.4721215Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4721877Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4722267Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_amax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:06:43.4722642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_amin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:06:43.4723281Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4724070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4724718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4725360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4726028Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4726690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%]
2023-01-11T22:06:43.4727073Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 61%]
2023-01-11T22:06:43.4727449Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_partial_views_cpu_complex128 XFAIL [ 61%]
2023-01-11T22:06:43.4727814Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_partial_views_cpu_float64 XFAIL [ 61%]
2023-01-11T22:06:43.4728243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_scatter_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:06:43.4728812Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:06:43.4729142Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asin_cpu_float64 PASSED [ 61%]
2023-01-11T22:06:43.4729457Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asinh_cpu_float64 PASSED [ 61%]
2023-01-11T22:06:43.4729778Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atan2_cpu_float64 PASSED [ 61%]
2023-01-11T22:06:43.4730172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atan_cpu_complex128 PASSED [ 61%]
2023-01-11T22:06:43.4730487Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atan_cpu_float64 PASSED [ 61%]
2023-01-11T22:06:43.4730822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atanh_cpu_complex128 PASSED [ 61%]
2023-01-11T22:06:43.4731220Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:06:43.4731637Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%]
2023-01-11T22:06:43.4732029Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4732372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_baddbmm_cpu_complex128 PASSED [ 62%]
2023-01-11T22:06:43.4732763Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bernoulli_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4733176Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_block_diag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4733843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2023-01-11T22:06:43.4734263Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_to_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4734910Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2023-01-11T22:06:43.4735318Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cartesian_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4736040Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 62%]
2023-01-11T22:06:43.4736749Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 62%]
2023-01-11T22:06:43.4737135Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cdist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4737464Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ceil_cpu_float64 PASSED [ 62%]
2023-01-11T22:06:43.4737862Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cfloat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4738252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chalf_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4738640Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chalf_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4739312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%]
2023-01-11T22:06:43.4739725Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4740113Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4740603Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_inverse_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4741016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_inverse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4741412Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4741826Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chunk_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4742152Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clamp_cpu_float64 PASSED [ 62%]
2023-01-11T22:06:43.4742448Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clamp_max_cpu_float64 PASSED [ 62%]
2023-01-11T22:06:43.4742715Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clone_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%]
2023-01-11T22:06:43.4742976Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clone_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4743284Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_column_stack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4743596Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_column_stack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4743902Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_combinations_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4744193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4744468Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_physical_cpu_complex128 PASSED [ 63%]
2023-01-11T22:06:43.4744795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_constant_pad_nd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4745063Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_copysign_cpu_float64 PASSED [ 63%]
2023-01-11T22:06:43.4745373Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_corrcoef_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4745635Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cos_cpu_complex128 PASSED [ 63%]
2023-01-11T22:06:43.4745892Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cos_cpu_float64 PASSED [ 63%]
2023-01-11T22:06:43.4746148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cosh_cpu_float64 PASSED [ 63%]
2023-01-11T22:06:43.4746445Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cross_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4746748Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cross_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4747090Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumulative_trapezoid_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4747350Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_deg2rad_cpu_float64 PASSED [ 63%]
2023-01-11T22:06:43.4747669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4747946Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4748278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_embed_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4748593Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_embed_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4748979Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagflat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4749291Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagflat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4749605Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_copy_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4749964Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4750261Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diff_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%]
2023-01-11T22:06:43.4750521Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_digamma_cpu_float64 PASSED [ 64%]
2023-01-11T22:06:43.4750825Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dist_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4751114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4751421Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_double_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4751732Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4752036Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4752330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4752890Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%]
2023-01-11T22:06:43.4753434Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%]
2023-01-11T22:06:43.4753941Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%]
2023-01-11T22:06:43.4754305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_erf_cpu_float64 PASSED [ 64%]
2023-01-11T22:06:43.4754560Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_erfinv_cpu_float64 PASSED [ 64%]
2023-01-11T22:06:43.4754802Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_exp2_cpu_float64 PASSED [ 64%]
2023-01-11T22:06:43.4755043Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_exp_cpu_complex128 PASSED [ 64%]
2023-01-11T22:06:43.4755290Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_exp_cpu_float64 PASSED [ 64%]
2023-01-11T22:06:43.4755607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4756136Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%]
2023-01-11T22:06:43.4756624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%]
2023-01-11T22:06:43.4756917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4757227Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4757528Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4757815Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4758185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4758494Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4758807Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%]
2023-01-11T22:06:43.4759194Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4759495Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftshift_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4759801Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ihfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4760116Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4760421Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4760716Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4761023Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flatten_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4761321Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flip_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4761598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flip_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4761916Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fliplr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4762200Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_power_cpu_float64 PASSED [ 65%]
2023-01-11T22:06:43.4762750Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:06:43.4763010Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4763258Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_frac_cpu_float64 PASSED [ 65%]
2023-01-11T22:06:43.4764179Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:06:43.4764607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:06:43.4764954Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:06:43.4765152Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gradient_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4765483Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:06:43.4765693Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_half_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4765895Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_half_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4766239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%]
2023-01-11T22:06:43.4766599Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:43.4766773Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hypot_cpu_float64 PASSED [ 65%]
2023-01-11T22:06:43.4766956Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_add_cpu_complex128 PASSED [ 65%]
2023-01-11T22:06:43.4767135Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_copy_cpu_float64 PASSED [ 66%]
2023-01-11T22:06:43.4767355Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_fill_cpu_complex128 PASSED [ 66%]
2023-01-11T22:06:43.4767516Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_fill_cpu_float64 PASSED [ 66%]
2023-01-11T22:06:43.4767686Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_put_cpu_float64 PASSED [ 66%]
2023-01-11T22:06:43.4767901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4768252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4768591Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4768929Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4769261Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4769600Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4769939Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4770272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%]
2023-01-11T22:06:43.4770464Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_istft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4770676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:06:43.4770896Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:06:43.4771100Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:06:43.4771302Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 66%]
2023-01-11T22:06:43.4771498Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_kron_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4771701Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_kthvalue_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4771869Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ldexp_cpu_float64 PASSED [ 66%]
2023-01-11T22:06:43.4772041Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lerp_cpu_complex128 PASSED [ 66%]
2023-01-11T22:06:43.4772208Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lerp_cpu_float64 PASSED [ 66%]
2023-01-11T22:06:43.4772366Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lgamma_cpu_float64 PASSED [ 66%]
2023-01-11T22:06:43.4772578Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cond_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4772820Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cross_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4773034Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_singular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%]
2023-01-11T22:06:43.4773243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eig_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4773476Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4773688Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvals_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4773914Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_householder_product_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4774137Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_householder_product_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4774345Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4774537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4774902Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:06:43.4775252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:06:43.4775614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:06:43.4775809Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 67%]
2023-01-11T22:06:43.4776035Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4776239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4776443Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4776655Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4776871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4777090Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_power_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4777293Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_power_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4777651Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:06:43.4778023Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:06:43.4778393Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%]
2023-01-11T22:06:43.4778604Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4778861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4779069Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4779272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%]
2023-01-11T22:06:43.4779545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%]
2023-01-11T22:06:43.4779750Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_qr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4779955Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_slogdet_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4780151Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4780356Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4780557Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4780781Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_triangular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4780992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svdvals_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4781202Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorinv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4781410Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorinv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4781624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorsolve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4781837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorsolve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4782051Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vector_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4782251Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vector_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4782598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2023-01-11T22:06:43.4782771Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log1p_cpu_float64 PASSED [ 68%]
2023-01-11T22:06:43.4782942Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log2_cpu_complex128 PASSED [ 68%]
2023-01-11T22:06:43.4783109Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log2_cpu_float64 PASSED [ 68%]
2023-01-11T22:06:43.4783312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4783519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logaddexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4783726Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logcumsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%]
2023-01-11T22:06:43.4784070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2023-01-11T22:06:43.4784436Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2023-01-11T22:06:43.4784771Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%]
2023-01-11T22:06:43.4784944Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logit_cpu_float64 PASSED [ 68%]
2023-01-11T22:06:43.4785324Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:06:43.4785528Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4785860Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:06:43.4786187Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:06:43.4786384Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4786590Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4786800Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_unpack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4786996Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mH_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4787190Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mT_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4787383Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_amin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4787731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%]
2023-01-11T22:06:43.4787939Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumprod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4788145Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumsum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4788330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_fill_cpu_complex128 PASSED [ 69%]
2023-01-11T22:06:43.4788536Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4788738Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_median_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4788952Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_normalize_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4789165Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_normalize_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4789375Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4789552Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_scatter_cpu_complex128 PASSED [ 69%]
2023-01-11T22:06:43.4789758Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4789960Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_std_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4790193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_std_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4790400Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_sum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4790598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_var_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%]
2023-01-11T22:06:43.4790799Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_var_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4791028Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matmul_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4791322Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matmul_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4791537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matrix_exp_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4791731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_binary_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4791931Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4792127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4792328Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_median_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4792549Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4792774Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4792994Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4793197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_min_binary_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4793414Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_min_reduction_with_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4793614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mode_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4793806Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_movedim_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4794075Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_movedim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4794253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mul_cpu_complex128 PASSED [ 70%]
2023-01-11T22:06:43.4794608Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2023-01-11T22:06:43.4794809Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4794981Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nan_to_num_cpu_float64 PASSED [ 70%]
2023-01-11T22:06:43.4795188Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nanquantile_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4795387Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nansum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4795731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2023-01-11T22:06:43.4795985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_native_dropout_backward_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:43.4796306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%]
2023-01-11T22:06:43.4796480Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_neg_cpu_complex128 PASSED [ 71%]
2023-01-11T22:06:43.4796677Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_neg_cpu_float64 PASSED [ 71%]
2023-01-11T22:06:43.4797022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4797362Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4797722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4798071Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4798412Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4798750Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4799095Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4799432Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%]
2023-01-11T22:06:43.4799662Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4799863Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_alpha_dropout_cpu_float64 PASSED [ 71%]
2023-01-11T22:06:43.4800085Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4800306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4800519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4800738Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4800948Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4801175Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4801397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4801627Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose3d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4801841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_ctc_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4802021Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_dropout2d_cpu_float64 PASSED [ 71%]
2023-01-11T22:06:43.4802236Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_dropout3d_cpu_float64 PASSED [ 71%]
2023-01-11T22:06:43.4802458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4802671Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_embedding_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%]
2023-01-11T22:06:43.4802923Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 72%]
2023-01-11T22:06:43.4803138Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 72%]
2023-01-11T22:06:43.4803355Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_gelu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4803731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_grid_sample_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4803950Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_group_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4804145Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardsigmoid_cpu_float64 PASSED [ 72%]
2023-01-11T22:06:43.4804353Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardtanh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4804575Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_instance_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4804802Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_area_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4805030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4805256Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4805474Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_l1_loss_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4805688Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_l1_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4805880Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_leaky_relu_cpu_float64 PASSED [ 72%]
2023-01-11T22:06:43.4806098Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_linear_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4806330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_local_response_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4806549Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_logsigmoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4806754Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4806976Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4807204Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4807422Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4807660Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_mish_cpu_float64 PASSED [ 72%]
2023-01-11T22:06:43.4807879Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_mse_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4808114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4808378Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_circular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 72%]
2023-01-11T22:06:43.4808602Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_constant_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4808822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_constant_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4809047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4809254Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_reflect_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4809484Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4809707Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_replicate_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4809920Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pdist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4810135Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pixel_shuffle_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4810358Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pixel_unshuffle_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4810565Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_relu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4810753Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_selu_cpu_float64 PASSED [ 73%]
2023-01-11T22:06:43.4810988Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4811204Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4811416Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softplus_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4811620Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softsign_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4811838Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_tanhshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4812064Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4812311Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4812551Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4812768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_unfold_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4813012Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_unfold_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4813214Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4813418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_fro_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4813643Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_inf_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4813848Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_nuc_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%]
2023-01-11T22:06:43.4814183Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2023-01-11T22:06:43.4814527Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%]
2023-01-11T22:06:43.4814731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ormqr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:06:43.4814930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ormqr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:06:43.4815137Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_outer_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:06:43.4815341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_pinverse_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:06:43.4815540Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_pinverse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:06:43.4815731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 74%]
2023-01-11T22:06:43.4815935Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 74%]
2023-01-11T22:06:43.4816139Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 74%]
2023-01-11T22:06:43.4816332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 74%]
2023-01-11T22:06:43.4816540Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_positive_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%]
2023-01-11T22:06:43.4816711Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_pow_cpu_complex128 PASSED [ 74%]
2023-01-11T22:06:43.4816882Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_pow_cpu_float64 PASSED [ 74%]
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2023-01-11T22:06:43.4823905Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_segment_reduce_lengths_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%]
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2023-01-11T22:06:43.4825624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_exponential_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4825992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_gaussian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4826368Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_general_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4826741Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_general_hamming_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
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2023-01-11T22:06:43.4828992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_softmax_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%]
2023-01-11T22:06:43.4829205Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_softmax_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%]
2023-01-11T22:06:43.4829423Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%]
2023-01-11T22:06:43.4829766Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4830123Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4830476Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4830849Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%]
2023-01-11T22:06:43.4831269Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 76%]
2023-01-11T22:06:43.4831481Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_erfcx_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%]
2023-01-11T22:06:43.4831684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_i1_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4831918Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_i1e_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4832293Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:06:43.4832680Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%]
2023-01-11T22:06:43.4833043Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:06:43.4833407Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:06:43.4833606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_ndtri_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4833842Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4834293Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:06:43.4834703Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%]
2023-01-11T22:06:43.4835073Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
2023-01-11T22:06:43.4835420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%]
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2023-01-11T22:06:43.4835836Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_list_args_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4836047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_list_args_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4836221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sqrt_cpu_complex128 PASSED [ 77%]
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2023-01-11T22:06:43.4837996Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_mean_unbiased_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4838242Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_unbiased_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%]
2023-01-11T22:06:43.4838437Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_stft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
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2023-01-11T22:06:43.4838837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_svd_lowrank_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:06:43.4839038Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_symeig_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:06:43.4839203Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_t_cpu_float64 PASSED [ 78%]
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2023-01-11T22:06:43.4839934Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensor_split_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:06:43.4840142Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensordot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:06:43.4840335Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensordot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
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2023-01-11T22:06:43.4841288Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%]
2023-01-11T22:06:43.4841490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_sparse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:06:43.4841689Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_topk_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%]
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2023-01-11T22:06:43.4842458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_triangular_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%]
2023-01-11T22:06:43.4842631Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tril_cpu_complex128 PASSED [ 78%]
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2023-01-11T22:06:43.4844148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_copy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
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2023-01-11T22:06:43.4844692Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2023-01-11T22:06:43.4845028Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2023-01-11T22:06:43.4845207Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unsqueeze_cpu_complex128 PASSED [ 79%]
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2023-01-11T22:06:43.4845579Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4845785Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4846003Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_mean_unbiased_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4846215Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_mean_unbiased_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4846420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4846618Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4846817Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_real_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4847018Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_copy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4847214Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4847418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4847620Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%]
2023-01-11T22:06:43.4847794Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zero__cpu_complex128 PASSED [ 79%]
2023-01-11T22:06:43.4848136Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%]
2023-01-11T22:06:43.4848376Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rdiv___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2023-01-11T22:06:43.4848614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rdiv___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2023-01-11T22:06:43.4848885Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmod___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 79%]
2023-01-11T22:06:43.4849116Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4849354Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmul___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4849573Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 80%]
2023-01-11T22:06:43.4849802Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rsub___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4850057Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad__native_batch_norm_legit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4850400Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_abs_cpu_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 80%]
2023-01-11T22:06:43.4850576Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_abs_cpu_float64 PASSED [ 80%]
2023-01-11T22:06:43.4850754Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acos_cpu_complex128 PASSED [ 80%]
2023-01-11T22:06:43.4850994Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acosh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4851230Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acosh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4851411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_add_cpu_complex128 PASSED [ 80%]
2023-01-11T22:06:43.4851582Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addbmm_cpu_complex128 PASSED [ 80%]
2023-01-11T22:06:43.4851762Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcdiv_cpu_float64 PASSED [ 80%]
2023-01-11T22:06:43.4851943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcmul_cpu_complex128 PASSED [ 80%]
2023-01-11T22:06:43.4852119Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcmul_cpu_float64 PASSED [ 80%]
2023-01-11T22:06:43.4852299Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_cpu_complex128 PASSED [ 80%]
2023-01-11T22:06:43.4852490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_decomposed_cpu_float64 PASSED [ 80%]
2023-01-11T22:06:43.4852667Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmv_cpu_float64 PASSED [ 80%]
2023-01-11T22:06:43.4853016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2023-01-11T22:06:43.4853254Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4853475Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4853818Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2023-01-11T22:06:43.4854058Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_angle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4854291Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_angle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%]
2023-01-11T22:06:43.4854654Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%]
2023-01-11T22:06:43.4854995Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:06:43.4855347Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:06:43.4855618Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_partial_views_cpu_complex128 XFAIL [ 81%]
2023-01-11T22:06:43.4855793Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asin_cpu_float64 PASSED [ 81%]
2023-01-11T22:06:43.4855968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atan2_cpu_float64 PASSED [ 81%]
2023-01-11T22:06:43.4856150Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atan_cpu_complex128 PASSED [ 81%]
2023-01-11T22:06:43.4856313Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atan_cpu_float64 PASSED [ 81%]
2023-01-11T22:06:43.4856551Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atanh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4856795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4857039Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_3d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4857276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4857458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_baddbmm_cpu_complex128 PASSED [ 81%]
2023-01-11T22:06:43.4857697Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bernoulli_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4857938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_block_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4858278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:06:43.4858525Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4858768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4859104Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%]
2023-01-11T22:06:43.4859353Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cartesian_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4859741Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 81%]
2023-01-11T22:06:43.4859986Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cdouble_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4860231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cfloat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4860467Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cfloat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4860733Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chalf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4860976Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%]
2023-01-11T22:06:43.4861228Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_inverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4861502Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4861744Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4861982Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chunk_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4862150Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clamp_min_cpu_float64 PASSED [ 82%]
2023-01-11T22:06:43.4862385Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clone_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4862633Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_column_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4862865Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4863110Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_constant_pad_nd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4863353Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_contiguous_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4863533Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_copysign_cpu_float64 PASSED [ 82%]
2023-01-11T22:06:43.4863773Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_corrcoef_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4864012Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_corrcoef_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4864372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%]
2023-01-11T22:06:43.4864606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cov_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4864826Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4865009Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumprod_cpu_complex128 PASSED [ 82%]
2023-01-11T22:06:43.4865186Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumprod_cpu_float64 PASSED [ 82%]
2023-01-11T22:06:43.4865366Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumsum_cpu_complex128 PASSED [ 82%]
2023-01-11T22:06:43.4865540Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumsum_cpu_float64 PASSED [ 82%]
2023-01-11T22:06:43.4865793Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumulative_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4866060Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4866305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_embed_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4866543Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagflat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4866807Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%]
2023-01-11T22:06:43.4867056Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_scatter_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4867296Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4867534Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dist_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4867726Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_floor_rounding_cpu_float64 PASSED [ 83%]
2023-01-11T22:06:43.4867965Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4868199Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4868435Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_einsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4868666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_einsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4869016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2023-01-11T22:06:43.4869362Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2023-01-11T22:06:43.4869720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2023-01-11T22:06:43.4870056Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2023-01-11T22:06:43.4870221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_erf_cpu_float64 PASSED [ 83%]
2023-01-11T22:06:43.4870397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_exp2_cpu_float64 PASSED [ 83%]
2023-01-11T22:06:43.4870576Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_exp_cpu_complex128 PASSED [ 83%]
2023-01-11T22:06:43.4870823Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4871063Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4871301Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4871641Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%]
2023-01-11T22:06:43.4871912Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4872154Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4872390Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4872656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4872931Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4873176Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%]
2023-01-11T22:06:43.4873413Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4873650Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4873891Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4874205Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4874446Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4874687Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4874920Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4875159Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4875405Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4875647Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4875920Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4876158Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4876399Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4876636Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_rfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4876871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_rfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4877047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fill_cpu_complex128 PASSED [ 84%]
2023-01-11T22:06:43.4877252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fill_cpu_float64 PASSED [ 84%]
2023-01-11T22:06:43.4877489Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flip_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4877727Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fliplr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4877992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fliplr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4878228Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flipud_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4878449Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4878635Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_power_cpu_float64 PASSED [ 84%]
2023-01-11T22:06:43.4878996Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%]
2023-01-11T22:06:43.4879235Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%]
2023-01-11T22:06:43.4879561Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4879738Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fmod_cpu_float64 PASSED [ 85%]
2023-01-11T22:06:43.4879911Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_frac_cpu_float64 PASSED [ 85%]
2023-01-11T22:06:43.4880149Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_frexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4880499Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4880837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4881189Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4881418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gather_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4881657Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gather_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4882003Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4882347Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4882590Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gradient_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4882831Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gradient_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4883075Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_grid_sampler_2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4883571Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4883815Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_half_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4884172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4884465Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4884702Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4884930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4885234Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:43.4885473Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hypot_cpu_float64 PASSED [ 85%]
2023-01-11T22:06:43.4885646Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_i0_cpu_float64 PASSED [ 85%]
2023-01-11T22:06:43.4885994Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4886336Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%]
2023-01-11T22:06:43.4886574Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_imag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4886762Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_add_cpu_complex128 PASSED [ 86%]
2023-01-11T22:06:43.4886950Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_copy_cpu_complex128 PASSED [ 86%]
2023-01-11T22:06:43.4887131Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_fill_cpu_float64 PASSED [ 86%]
2023-01-11T22:06:43.4887301Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_put_cpu_float64 PASSED [ 86%]
2023-01-11T22:06:43.4887650Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4887994Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4888331Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4888680Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4889029Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4889372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4889712Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%]
2023-01-11T22:06:43.4889949Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_istft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4890202Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:06:43.4890418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:06:43.4890625Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:06:43.4890859Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 86%]
2023-01-11T22:06:43.4891093Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_kron_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4891322Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_kron_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4891561Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_kthvalue_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4891795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ldexp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4891975Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lerp_cpu_complex128 PASSED [ 86%]
2023-01-11T22:06:43.4892151Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lerp_cpu_float64 PASSED [ 86%]
2023-01-11T22:06:43.4892397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4892638Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%]
2023-01-11T22:06:43.4892889Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_singular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4893127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_singular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4893368Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4893612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4893856Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4894102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvalsh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4894360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_householder_product_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4894615Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_householder_product_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4894855Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4895212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:06:43.4895576Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:06:43.4895969Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:06:43.4896326Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:06:43.4896544Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 87%]
2023-01-11T22:06:43.4896740Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 87%]
2023-01-11T22:06:43.4896993Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4897237Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4897489Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4897737Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4897986Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4898228Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4898473Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4898721Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4898969Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_power_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%]
2023-01-11T22:06:43.4899340Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%]
2023-01-11T22:06:43.4899701Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%]
2023-01-11T22:06:43.4899947Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_multi_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4900194Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4900433Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4900701Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4900943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4901182Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4901476Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 88%]
2023-01-11T22:06:43.4901717Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4901962Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_slogdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4902230Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4902467Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4902717Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4902948Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4903191Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svdvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4903435Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svdvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4903684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4903936Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorsolve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4904186Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorsolve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4904429Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vander_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4904669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vecdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4904909Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vecdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4905162Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vector_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%]
2023-01-11T22:06:43.4905341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log10_cpu_complex128 PASSED [ 88%]
2023-01-11T22:06:43.4905503Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log10_cpu_float64 PASSED [ 88%]
2023-01-11T22:06:43.4905683Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log1p_cpu_complex128 PASSED [ 88%]
2023-01-11T22:06:43.4905865Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log2_cpu_complex128 PASSED [ 89%]
2023-01-11T22:06:43.4906038Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_cpu_float64 PASSED [ 89%]
2023-01-11T22:06:43.4906282Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4906567Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4906931Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4907278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4907662Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4908014Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4908361Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4908695Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4908873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logit_cpu_float64 PASSED [ 89%]
2023-01-11T22:06:43.4909224Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4909466Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4909806Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4910140Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4910378Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4910611Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4910854Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_unpack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4911093Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mH_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4911328Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mT_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4911549Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mT_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4911905Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%]
2023-01-11T22:06:43.4912154Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumprod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4912399Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%]
2023-01-11T22:06:43.4912637Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_fill_cpu_float64 PASSED [ 89%]
2023-01-11T22:06:43.4912918Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4913371Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4913651Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4913925Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4928562Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4928943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4929212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4929463Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4929709Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4929907Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_scatter_cpu_complex128 PASSED [ 90%]
2023-01-11T22:06:43.4930152Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4930380Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4930629Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4930866Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4931107Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matmul_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4931349Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matrix_exp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4931584Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4931834Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4932082Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4932317Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_maximum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4932553Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4932787Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4933194Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4933444Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4933681Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_minimum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:43.4933959Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mode_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4934195Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4934427Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4934625Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 91%]
2023-01-11T22:06:43.4934819Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 91%]
2023-01-11T22:06:43.4935007Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 91%]
2023-01-11T22:06:43.4935250Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nanmedian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4935486Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nansum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4935893Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4936247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4936473Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4936711Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4936959Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_native_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4937213Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_native_dropout_backward_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4937461Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_native_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4937796Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4937977Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_neg_cpu_complex128 PASSED [ 91%]
2023-01-11T22:06:43.4938338Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4938690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4939156Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4939532Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4939866Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4940501Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4941144Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%]
2023-01-11T22:06:43.4941677Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%]
2023-01-11T22:06:43.4942232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4942761Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4943239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_alpha_dropout_cpu_float64 PASSED [ 92%]
2023-01-11T22:06:43.4943720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4944241Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4944693Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_celu_cpu_float64 PASSED [ 92%]
2023-01-11T22:06:43.4945141Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4945666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4946210Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4946751Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4947203Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_dropout2d_cpu_float64 PASSED [ 92%]
2023-01-11T22:06:43.4947611Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_elu_cpu_float64 PASSED [ 92%]
2023-01-11T22:06:43.4948074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_embedding_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4948567Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 92%]
2023-01-11T22:06:43.4949039Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_glu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4949555Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_grid_sample_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4950075Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_group_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4950620Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4951123Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardsigmoid_cpu_float64 XFAIL [ 92%]
2023-01-11T22:06:43.4951601Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardswish_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4952145Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardtanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4952679Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4953221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_area_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4953764Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4954366Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%]
2023-01-11T22:06:43.4954909Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4955453Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4955983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_linear_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4956502Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4957016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4957517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_mse_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4958033Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4958567Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4959092Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4959614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4960124Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4960647Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_circular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4961195Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_constant_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4961724Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4962300Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_replicate_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4962822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4963347Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4963979Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4964516Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4965032Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4965554Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softsign_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4966023Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_threshold_cpu_float64 PASSED [ 93%]
2023-01-11T22:06:43.4966510Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4967065Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4967607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%]
2023-01-11T22:06:43.4968179Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4968724Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4969272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4969791Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4970278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_fro_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4970754Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_inf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4971243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_inf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4971782Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_nuc_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4972274Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_nuc_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4972716Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 94%]
2023-01-11T22:06:43.4973358Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%]
2023-01-11T22:06:43.4973845Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ormqr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4974330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pca_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4974805Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_permute_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4975304Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pinverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4975792Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polar_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4976255Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 94%]
2023-01-11T22:06:43.4976717Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4977189Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4977673Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4978158Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4978585Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_put_cpu_complex128 PASSED [ 94%]
2023-01-11T22:06:43.4979026Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4979533Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_quantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%]
2023-01-11T22:06:43.4980003Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rad2deg_cpu_float64 PASSED [ 94%]
2023-01-11T22:06:43.4980613Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4981201Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randint_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4981788Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4982274Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ravel_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4982758Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4983274Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_real_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4983702Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_complex128 PASSED [ 95%]
2023-01-11T22:06:43.4984089Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_float64 PASSED [ 95%]
2023-01-11T22:06:43.4984505Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_remainder_cpu_float64 PASSED [ 95%]
2023-01-11T22:06:43.4984941Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4985419Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4985912Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4986508Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4987106Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4987698Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4988217Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4988735Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4989237Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4989740Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_roll_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4990182Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_0_cpu_float64 PASSED [ 95%]
2023-01-11T22:06:43.4990558Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_complex128 PASSED [ 95%]
2023-01-11T22:06:43.4990933Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_float64 PASSED [ 95%]
2023-01-11T22:06:43.4991377Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsub_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:43.4992006Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scalar_tensor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%]
2023-01-11T22:06:43.4992436Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_float64 PASSED [ 95%]
2023-01-11T22:06:43.4992833Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_amax_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.4993236Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_amin_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.4993639Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_prod_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.4994089Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_sum_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.4994545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:06:43.4995174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:06:43.4995795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.4996216Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_complex128 PASSED [ 96%]
2023-01-11T22:06:43.4996628Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.4997199Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_bartlett_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.4997830Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_blackman_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.4998598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_gaussian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.4999284Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_general_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.4999939Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_general_hamming_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.5000570Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_hamming_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.5001189Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_hann_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.5001806Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_nuttall_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.5002405Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%]
2023-01-11T22:06:43.5002821Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sin_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.5003187Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinc_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.5003649Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinh_cpu_float64 PASSED [ 96%]
2023-01-11T22:06:43.5004097Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:06:43.5004616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:06:43.5005114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:06:43.5005600Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%]
2023-01-11T22:06:43.5006221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5006835Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5007508Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5008133Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5008796Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:06:43.5009511Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:06:43.5010024Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_entr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5010664Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5011301Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5011879Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i0e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5012375Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i1e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5013027Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:06:43.5013678Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5014305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5014802Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5015305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_ndtri_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5015940Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5016600Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:06:43.5017278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%]
2023-01-11T22:06:43.5017930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5018441Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_xlog1py_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5019047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%]
2023-01-11T22:06:43.5019525Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5020048Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5020550Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%]
2023-01-11T22:06:43.5021077Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5021500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_complex128 PASSED [ 98%]
2023-01-11T22:06:43.5021869Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5022240Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_complex128 PASSED [ 98%]
2023-01-11T22:06:43.5022622Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_complex128 PASSED [ 98%]
2023-01-11T22:06:43.5022990Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5023423Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5023930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_unbiased_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5024439Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_unbiased_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5024926Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5025351Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5025780Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5026266Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5026682Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_cpu_complex128 PASSED [ 98%]
2023-01-11T22:06:43.5027042Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5027401Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5027763Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5028182Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5028666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5029268Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%]
2023-01-11T22:06:43.5029762Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5030185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_cpu_complex128 PASSED [ 98%]
2023-01-11T22:06:43.5030567Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_cpu_float64 PASSED [ 98%]
2023-01-11T22:06:43.5031042Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%]
2023-01-11T22:06:43.5031481Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tril_cpu_complex128 PASSED [ 98%]
2023-01-11T22:06:43.5031839Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tril_cpu_float64 PASSED [ 99%]
2023-01-11T22:06:43.5032219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_complex128 PASSED [ 99%]
2023-01-11T22:06:43.5032696Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5033180Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5033665Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5034224Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5034785Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5035229Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128 PASSED [ 99%]
2023-01-11T22:06:43.5035602Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64 PASSED [ 99%]
2023-01-11T22:06:43.5036037Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5036528Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5037019Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5037494Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5037982Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5038474Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5038970Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5039460Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5039929Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5040410Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5040900Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5041394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5041907Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5042394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%]
2023-01-11T22:06:43.5042822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64 PASSED [ 99%]
2023-01-11T22:06:43.5043505Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%]
2023-01-11T22:06:43.5044172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%]
2023-01-11T22:06:43.5044434Z 
2023-01-11T22:06:43.5044547Z =============================== warnings summary ===============================
2023-01-11T22:06:43.5044904Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2023-01-11T22:06:43.5045427Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2023-01-11T22:06:43.5045769Z     self._mark_plugins_for_rewrite(hook)
2023-01-11T22:06:43.5045900Z 
2023-01-11T22:06:43.5046128Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2023-01-11T22:06:43.5046638Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-dc4d520892247283.xml -
2023-01-11T22:06:43.5047027Z = 968 passed, 1519 skipped, 8 deselected, 22 xfailed, 1 warning in 346.28s (0:05:46) =
2023-01-11T22:06:43.5047345Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2023-01-11T22:06:43.5047536Z 
2023-01-11T22:06:43.5047826Z ##[endgroup]
2023-01-11T22:06:43.5048217Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_4mzzraq3)
2023-01-11T22:06:43.5048437Z 
2023-01-11T22:06:43.8024891Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:06:43.802052]
2023-01-11T22:06:49.8220190Z 
2023-01-11T22:06:49.8220708Z Expand the folded group to see the log file of test_ops_gradients
2023-01-11T22:06:49.8221886Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_tmu3p8kj)
2023-01-11T22:06:49.8222508Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-b73e2f5804f34464.xml
2023-01-11T22:06:49.8222841Z ============================= test session starts ==============================
2023-01-11T22:06:49.8223188Z platform linux -- Python 3.7.15, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2023-01-11T22:06:49.8223443Z cachedir: .pytest_cache
2023-01-11T22:06:49.8223863Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2023-01-11T22:06:49.8224306Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2023-01-11T22:06:49.8224756Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.1.0, xdoctest-1.1.0
2023-01-11T22:06:49.8225147Z collecting ... collected 4945 items / 4925 deselected / 20 selected
2023-01-11T22:06:49.8227657Z Running 20 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_float64
2023-01-11T22:06:49.8230003Z 
2023-01-11T22:06:49.8230289Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [  5%]
2023-01-11T22:06:49.8230779Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%]
2023-01-11T22:06:49.8231267Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%]
2023-01-11T22:06:49.8231741Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 20%]
2023-01-11T22:06:49.8232167Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_complex128 PASSED [ 25%]
2023-01-11T22:06:49.8232621Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_float64 PASSED [ 30%]
2023-01-11T22:06:49.8233005Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_complex128 PASSED [ 35%]
2023-01-11T22:06:49.8233423Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_float64 PASSED [ 40%]
2023-01-11T22:06:49.8233803Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_complex128 PASSED [ 45%]
2023-01-11T22:06:49.8234263Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_float64 PASSED [ 50%]
2023-01-11T22:06:49.8234643Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_complex128 PASSED [ 55%]
2023-01-11T22:06:49.8235032Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_float64 PASSED [ 60%]
2023-01-11T22:06:49.8235451Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%]
2023-01-11T22:06:49.8235897Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%]
2023-01-11T22:06:49.8236330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%]
2023-01-11T22:06:49.8236781Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%]
2023-01-11T22:06:49.8237306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%]
2023-01-11T22:06:49.8237822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%]
2023-01-11T22:06:49.8238332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%]
2023-01-11T22:06:49.8238863Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [100%]
2023-01-11T22:06:49.8239126Z 
2023-01-11T22:06:49.8239238Z =============================== warnings summary ===============================
2023-01-11T22:06:49.8239605Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2023-01-11T22:06:49.8240133Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2023-01-11T22:06:49.8240469Z     self._mark_plugins_for_rewrite(hook)
2023-01-11T22:06:49.8240598Z 
2023-01-11T22:06:49.8240824Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2023-01-11T22:06:49.8241341Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-b73e2f5804f34464.xml -
2023-01-11T22:06:49.8241707Z ========== 8 passed, 12 skipped, 4925 deselected, 1 warning in 2.81s ===========
2023-01-11T22:06:49.8242031Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2023-01-11T22:06:49.8242223Z 
2023-01-11T22:06:49.8242469Z ##[endgroup]
2023-01-11T22:06:49.8242850Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_tmu3p8kj)
2023-01-11T22:06:49.8243072Z 
2023-01-11T22:06:49.8243249Z Running test_tensorexpr ... [2023-01-11 22:06:49.822849]
2023-01-11T22:06:49.8243893Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:06:49.823183]
2023-01-11T22:07:35.5739145Z 
2023-01-11T22:07:35.5739644Z Expand the folded group to see the log file of test_tensorexpr
2023-01-11T22:07:35.5740568Z ##[group]PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_gwp61ahh)
2023-01-11T22:07:35.5741390Z Test results will be stored in test-reports/python-unittest/test_tensorexpr
2023-01-11T22:07:35.5741672Z 
2023-01-11T22:07:35.5741770Z Running tests...
2023-01-11T22:07:35.5742119Z ----------------------------------------------------------------------
2023-01-11T22:07:35.5744472Z   test_add_const_rhs (__main__.TestTensorExprFuser) ... ok (0.289s)
2023-01-11T22:07:35.5744877Z   test_add_sub (__main__.TestTensorExprFuser) ... ok (0.038s)
2023-01-11T22:07:35.5745242Z   test_alias_analysis_input_and_module (__main__.TestTensorExprFuser) ... ok (0.046s)
2023-01-11T22:07:35.5745604Z   test_alias_analysis_inputs (__main__.TestTensorExprFuser) ... ok (0.008s)
2023-01-11T22:07:35.5746010Z   test_alias_analysis_module (__main__.TestTensorExprFuser) ... ok (0.128s)
2023-01-11T22:07:35.5746392Z   test_all_combos (__main__.TestTensorExprFuser) ... ok (0.039s)
2023-01-11T22:07:35.5746875Z   test_alpha (__main__.TestTensorExprFuser) ... ok (0.025s)
2023-01-11T22:07:35.5747357Z   test_binary_ops (__main__.TestTensorExprFuser) ... ok (1.479s)
2023-01-11T22:07:35.5747801Z   test_bitwise_ops (__main__.TestTensorExprFuser) ... ok (0.167s)
2023-01-11T22:07:35.5748229Z   test_broadcast (__main__.TestTensorExprFuser) ... ok (0.040s)
2023-01-11T22:07:35.5748756Z   test_broadcast3 (__main__.TestTensorExprFuser) ... ok (0.146s)
2023-01-11T22:07:35.5749095Z   test_broadcast_2 (__main__.TestTensorExprFuser) ... ok (0.033s)
2023-01-11T22:07:35.5749553Z   test_broadcast_big2 (__main__.TestTensorExprFuser) ... ok (0.047s)
2023-01-11T22:07:35.5750125Z   test_cat (__main__.TestTensorExprFuser) ... ok (3.348s)
2023-01-11T22:07:35.5750576Z   test_cat_empty_tensors (__main__.TestTensorExprFuser) ... ok (0.118s)
2023-01-11T22:07:35.5751117Z   test_cat_negative_dim (__main__.TestTensorExprFuser) ... ok (0.071s)
2023-01-11T22:07:35.5751513Z   test_cat_only (__main__.TestTensorExprFuser) ... skip: cat is broken with fusion group inlining disabled (0.001s)
2023-01-11T22:07:35.5751963Z   test_cat_promote_inputs (__main__.TestTensorExprFuser) ... ok (0.132s)
2023-01-11T22:07:35.5752316Z   test_cat_with_constant_dim (__main__.TestTensorExprFuser) ... ok (0.048s)
2023-01-11T22:07:35.5752744Z   test_char (__main__.TestTensorExprFuser) ... ok (0.029s)
2023-01-11T22:07:35.5753220Z   test_chunk (__main__.TestTensorExprFuser) ... ok (0.205s)
2023-01-11T22:07:35.5753704Z   test_clamp (__main__.TestTensorExprFuser) ... ok (0.038s)
2023-01-11T22:07:35.5754222Z   test_constant (__main__.TestTensorExprFuser) ... ok (0.028s)
2023-01-11T22:07:35.5754536Z   test_double (__main__.TestTensorExprFuser) ... ok (0.027s)
2023-01-11T22:07:35.5754817Z   test_double_intrinsics (__main__.TestTensorExprFuser) ... ok (0.033s)
2023-01-11T22:07:35.5755212Z   test_dynamic_shape (__main__.TestTensorExprFuser) ... skip: dynamic shapes are not quite there yet (0.001s)
2023-01-11T22:07:35.5755515Z   test_easy (__main__.TestTensorExprFuser) ... ok (0.038s)
2023-01-11T22:07:35.5755795Z   test_eq (__main__.TestTensorExprFuser) ... ok (0.065s)
2023-01-11T22:07:35.5756089Z   test_exp_pow (__main__.TestTensorExprFuser) ... ok (0.062s)
2023-01-11T22:07:35.5756348Z   test_four_arg (__main__.TestTensorExprFuser) ... ok (0.039s)
2023-01-11T22:07:35.5756656Z   test_ge (__main__.TestTensorExprFuser) ... ok (0.065s)
2023-01-11T22:07:35.5756919Z   test_gt (__main__.TestTensorExprFuser) ... ok (0.064s)
2023-01-11T22:07:35.5757346Z   test_guard_fails (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:07:35.5757837Z   test_half_bn_relu (__main__.TestTensorExprFuser) ... ok (0.001s)
2023-01-11T22:07:35.5758304Z   test_half_gelu (__main__.TestTensorExprFuser) ... ok (0.004s)
2023-01-11T22:07:35.5758822Z   test_int64_promotion (__main__.TestTensorExprFuser) ... ok (0.028s)
2023-01-11T22:07:35.5759179Z   test_int_output (__main__.TestTensorExprFuser) ... ok (0.028s)
2023-01-11T22:07:35.5759445Z   test_le (__main__.TestTensorExprFuser) ... ok (0.064s)
2023-01-11T22:07:35.5759704Z   test_loop (__main__.TestTensorExprFuser) ... ok (0.076s)
2023-01-11T22:07:35.5759950Z   test_lt (__main__.TestTensorExprFuser) ... ok (0.068s)
2023-01-11T22:07:35.5760206Z   test_mask (__main__.TestTensorExprFuser) ... ok (0.026s)
2023-01-11T22:07:35.5760466Z   test_min_max (__main__.TestTensorExprFuser) ... ok (0.040s)
2023-01-11T22:07:35.5760732Z   test_min_max_reduction (__main__.TestTensorExprFuser) ... ok (0.027s)
2023-01-11T22:07:35.5761021Z   test_min_max_reduction2 (__main__.TestTensorExprFuser) ... ok (0.026s)
2023-01-11T22:07:35.5761319Z   test_min_max_reduction_dim1 (__main__.TestTensorExprFuser) ... ok (0.029s)
2023-01-11T22:07:35.5761627Z   test_min_max_reduction_dim1_2 (__main__.TestTensorExprFuser) ... ok (0.041s)
2023-01-11T22:07:35.5761901Z   test_multi_rand (__main__.TestTensorExprFuser) ... ok (0.053s)
2023-01-11T22:07:35.5762177Z   test_multioutput (__main__.TestTensorExprFuser) ... ok (0.036s)
2023-01-11T22:07:35.5762463Z   test_multiple_outputs (__main__.TestTensorExprFuser) ... ok (0.184s)
2023-01-11T22:07:35.5762728Z   test_nans (__main__.TestTensorExprFuser) ... ok (0.106s)
2023-01-11T22:07:35.5762987Z   test_ne (__main__.TestTensorExprFuser) ... ok (0.065s)
2023-01-11T22:07:35.5763252Z   test_promotion (__main__.TestTensorExprFuser) ... ok (0.034s)
2023-01-11T22:07:35.5763742Z   test_propagated_mem_layout (__main__.TestTensorExprFuser) ... ok (30.521s)
2023-01-11T22:07:35.5764095Z   test_rand_like (__main__.TestTensorExprFuser) ... ok (0.066s)
2023-01-11T22:07:35.5764414Z   test_rank_two (__main__.TestTensorExprFuser) ... ok (0.046s)
2023-01-11T22:07:35.5764791Z   test_relu (__main__.TestTensorExprFuser) ... ok (0.038s)
2023-01-11T22:07:35.5765194Z   test_remainder (__main__.TestTensorExprFuser) ... ok (0.274s)
2023-01-11T22:07:35.5765466Z   test_reps (__main__.TestTensorExprFuser) ... ok (0.043s)
2023-01-11T22:07:35.5765751Z   test_scalar (__main__.TestTensorExprFuser) ... ok (0.109s)
2023-01-11T22:07:35.5766003Z   test_short (__main__.TestTensorExprFuser) ... ok (0.028s)
2023-01-11T22:07:35.5766276Z   test_simple_add (__main__.TestTensorExprFuser) ... ok (0.016s)
2023-01-11T22:07:35.5766604Z   test_sin_pow (__main__.TestTensorExprFuser) ... ok (0.315s)
2023-01-11T22:07:35.5766867Z   test_slice (__main__.TestTensorExprFuser) ... ok (0.061s)
2023-01-11T22:07:35.5767126Z   test_sliced_stride (__main__.TestTensorExprFuser) ... ok (0.108s)
2023-01-11T22:07:35.5767406Z   test_softmax_cpu (__main__.TestTensorExprFuser) ... ok (0.660s)
2023-01-11T22:07:35.5767705Z   test_softmax_cuda (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:07:35.5768014Z   test_strided_output_preserved (__main__.TestTensorExprFuser) ... ok (0.112s)
2023-01-11T22:07:35.5768303Z   test_three_arg (__main__.TestTensorExprFuser) ... ok (0.037s)
2023-01-11T22:07:35.5768575Z   test_three_arg2 (__main__.TestTensorExprFuser) ... ok (0.041s)
2023-01-11T22:07:35.5768849Z   test_transpose (__main__.TestTensorExprFuser) ... ok (0.161s)
2023-01-11T22:07:35.5769107Z   test_unary_ops (__main__.TestTensorExprFuser) ... ok (3.250s)
2023-01-11T22:07:35.5769378Z   test_unsqueeze (__main__.TestTensorExprFuser) ... ok (0.064s)
2023-01-11T22:07:35.5769645Z   test_where (__main__.TestTensorExprFuser) ... ok (0.164s)
2023-01-11T22:07:35.5769795Z 
2023-01-11T22:07:35.5770049Z ----------------------------------------------------------------------
2023-01-11T22:07:35.5770294Z Ran 73 tests in 43.958s
2023-01-11T22:07:35.5770408Z 
2023-01-11T22:07:35.5770481Z OK (skipped=4)
2023-01-11T22:07:35.5770587Z 
2023-01-11T22:07:35.5770659Z Generating XML reports...
2023-01-11T22:07:35.5771094Z Generated XML report: test-reports/python-unittest/test_tensorexpr/TEST-TestTensorExprFuser-20230111220651.xml
2023-01-11T22:07:35.5771335Z 
2023-01-11T22:07:35.5771709Z ##[endgroup]
2023-01-11T22:07:35.5772096Z FINISHED PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_gwp61ahh)
2023-01-11T22:07:35.5772313Z 
2023-01-11T22:07:35.5772461Z Running test_dispatch ... [2023-01-11 22:07:35.574326]
2023-01-11T22:07:35.5772928Z Executing ['/opt/conda/bin/python', '-bb', 'test_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:07:35.574748]
2023-01-11T22:08:21.3883277Z 
2023-01-11T22:08:21.3884015Z Expand the folded group to see the log file of test_dispatch
2023-01-11T22:08:21.3885056Z ##[group]PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_gkctw0gc)
2023-01-11T22:08:21.3886340Z Test results will be stored in test-reports/python-unittest/test_dispatch
2023-01-11T22:08:21.3886894Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:08:21.3887089Z 
2023-01-11T22:08:21.3887215Z Running tests...
2023-01-11T22:08:21.3887599Z ----------------------------------------------------------------------
2023-01-11T22:08:21.3890039Z   test_all_invariants (__main__.TestDispatch) ... ok (0.207s)
2023-01-11T22:08:21.3890478Z   test_computed_table (__main__.TestDispatch) ... ok (7.526s)
2023-01-11T22:08:21.3890899Z   test_computed_table_with_ambiguous_autogradother (__main__.TestDispatch) ... ok (0.012s)
2023-01-11T22:08:21.3891301Z   test_computed_table_with_autograd (__main__.TestDispatch) ... ok (0.002s)
2023-01-11T22:08:21.3891846Z   test_computed_table_with_cpu_autograd_defaultbackend (__main__.TestDispatch) ... ok (0.206s)
2023-01-11T22:08:21.3892367Z   test_computed_table_with_cpu_autograd_math (__main__.TestDispatch) ... ok (0.234s)
2023-01-11T22:08:21.3892703Z   test_computed_table_with_cpu_autograd_math_defaultbackend (__main__.TestDispatch) ... ok (6.969s)
2023-01-11T22:08:21.3893218Z   test_computed_table_with_cpu_defaultbackend (__main__.TestDispatch) ... ok (0.011s)
2023-01-11T22:08:21.3893560Z   test_computed_table_with_cpu_math (__main__.TestDispatch) ... ok (0.012s)
2023-01-11T22:08:21.3893889Z   test_computed_table_with_cpu_math_autogradcpu_fallthrough (__main__.TestDispatch) ... ok (0.002s)
2023-01-11T22:08:21.3894254Z   test_computed_table_with_math (__main__.TestDispatch) ... ok (0.002s)
2023-01-11T22:08:21.3894501Z   test_def (__main__.TestDispatch) ... ok (7.112s)
2023-01-11T22:08:21.3894828Z   test_def_impl_schema_mismatch (__main__.TestDispatch) ... ok (0.010s)
2023-01-11T22:08:21.3895087Z   test_def_only (__main__.TestDispatch) ... ok (0.001s)
2023-01-11T22:08:21.3895351Z   test_def_with_explicit_alias (__main__.TestDispatch) ... ok (0.001s)
2023-01-11T22:08:21.3895616Z   test_def_with_inference (__main__.TestDispatch) ... ok (0.238s)
2023-01-11T22:08:21.3895931Z   test_dispatch_print_registrations_for_dispatch_key_invalid (__main__.TestDispatch) ... ok (0.002s)
2023-01-11T22:08:21.3918512Z   test_find_dangling_impls (__main__.TestDispatch) ... ok (0.001s)
2023-01-11T22:08:21.3919033Z   test_find_dangling_impls_ext (__main__.TestDispatch) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root...
2023-01-11T22:08:21.3919771Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/dangling_impl_extension...
2023-01-11T22:08:21.3920382Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/dangling_impl_extension/build.ninja...
2023-01-11T22:08:21.3920714Z Building extension module dangling_impl_extension...
2023-01-11T22:08:21.3920960Z Using envvar MAX_JOBS (6) as the number of workers...
2023-01-11T22:08:21.3923208Z [1/2] c++ -MMD -MF dangling_impl_extension.o.d -DTORCH_EXTENSION_NAME=dangling_impl_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++17 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/dangling_impl_extension.cpp -o dangling_impl_extension.o 
2023-01-11T22:08:21.3925519Z [2/2] c++ dangling_impl_extension.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o dangling_impl_extension.so
2023-01-11T22:08:21.3925979Z Loading extension module dangling_impl_extension...
2023-01-11T22:08:21.3926193Z ok (20.958s)
2023-01-11T22:08:21.3926406Z   test_impl_only (__main__.TestDispatch) ... ok (0.238s)
2023-01-11T22:08:21.3926696Z   test_multiple_def_alias_defaulting (__main__.TestDispatch) ... ok (0.007s)
2023-01-11T22:08:21.3926993Z   test_multiple_def_alias_mismatch (__main__.TestDispatch) ... ok (0.008s)
2023-01-11T22:08:21.3927276Z   test_multiple_def_error (__main__.TestDispatch) ... ok (0.007s)
2023-01-11T22:08:21.3927535Z   test_multiple_fallback (__main__.TestDispatch) ... ok (0.014s)
2023-01-11T22:08:21.3927934Z   test_overwrite_math (__main__.TestDispatch) ... [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2023-01-11T22:08:21.3928292Z   operator: __test45643__::foo
2023-01-11T22:08:21.3928481Z     no debug info
2023-01-11T22:08:21.3928649Z   dispatch key: (catch all)
2023-01-11T22:08:21.3928839Z   previous kernel: fn1
2023-01-11T22:08:21.3929055Z        new kernel: fn2 (function registerKernel)
2023-01-11T22:08:21.3929377Z [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2023-01-11T22:08:21.3929679Z   operator: __test45644__::foo
2023-01-11T22:08:21.3929860Z     no debug info
2023-01-11T22:08:21.3930027Z   dispatch key: (catch all)
2023-01-11T22:08:21.3930215Z   previous kernel: fn1
2023-01-11T22:08:21.3930559Z        new kernel: fn2 (function registerKernel)
2023-01-11T22:08:21.3930748Z ok (0.001s)
2023-01-11T22:08:21.3930982Z   test_autogradother (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T22:08:21.3931269Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T22:08:21.3931569Z   test_defaultbackend_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T22:08:21.3931970Z   test_defaultbackend_math (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T22:08:21.3932287Z   test_duplicate_registrations (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T22:08:21.3932599Z   test_math_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2023-01-11T22:08:21.3932912Z   test_quantized_structured_not_implemented (__main__.TestPythonDispatcher) ... ok (0.025s)
2023-01-11T22:08:21.3933103Z 
2023-01-11T22:08:21.3933320Z ----------------------------------------------------------------------
2023-01-11T22:08:21.3933563Z Ran 32 tests in 43.813s
2023-01-11T22:08:21.3933676Z 
2023-01-11T22:08:21.3933738Z OK
2023-01-11T22:08:21.3933815Z 
2023-01-11T22:08:21.3933899Z Generating XML reports...
2023-01-11T22:08:21.3934298Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20230111220737.xml
2023-01-11T22:08:21.3934820Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20230111220737.xml
2023-01-11T22:08:21.3935061Z 
2023-01-11T22:08:21.3935345Z ##[endgroup]
2023-01-11T22:08:21.3935717Z FINISHED PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_gkctw0gc)
2023-01-11T22:08:21.3935930Z 
2023-01-11T22:08:21.3936095Z Running nn/test_pooling ... [2023-01-11 22:08:21.388772]
2023-01-11T22:08:21.3936558Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_pooling.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:08:21.389194]
2023-01-11T22:08:45.9035715Z 
2023-01-11T22:08:45.9036088Z Expand the folded group to see the log file of nn/test_pooling
2023-01-11T22:08:45.9039012Z ##[group]PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling__eq60hem)
2023-01-11T22:08:45.9039884Z Test results will be stored in test-reports/python-unittest/nn.test_pooling
2023-01-11T22:08:45.9040071Z 
2023-01-11T22:08:45.9040150Z Running tests...
2023-01-11T22:08:45.9040509Z ----------------------------------------------------------------------
2023-01-11T22:08:45.9040815Z   test_avg_pool1d_ceil_mode (__main__.TestAvgPool) ... ok (0.002s)
2023-01-11T22:08:45.9041076Z   test_avg_pool2d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s)
2023-01-11T22:08:45.9041348Z   test_avg_pool3d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s)
2023-01-11T22:08:45.9041681Z   test_doubletensor_avg_pool2d (__main__.TestAvgPool) ... ok (0.010s)
2023-01-11T22:08:45.9042004Z   test_doubletensor_avg_pool2d_with_divisor (__main__.TestAvgPool) ... ok (0.006s)
2023-01-11T22:08:45.9042304Z   test_doubletensor_avg_pool3d (__main__.TestAvgPool) ... ok (0.062s)
2023-01-11T22:08:45.9042604Z   test_doubletensor_avg_pool3d_with_divisor (__main__.TestAvgPool) ... ok (0.195s)
2023-01-11T22:08:45.9042893Z   test_MaxUnpool2d_output_size (__main__.TestPoolingNN) ... ok (0.008s)
2023-01-11T22:08:45.9043186Z   test_adaptive_pooling_avg_nhwc (__main__.TestPoolingNN) ... ok (0.003s)
2023-01-11T22:08:45.9043692Z   test_adaptive_pooling_avg_nhwc_launch_config_backward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T22:08:45.9044086Z   test_adaptive_pooling_avg_nhwc_launch_config_forward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s)
2023-01-11T22:08:45.9044428Z   test_adaptive_pooling_avg_nhwc_non_contiguous (__main__.TestPoolingNN) ... ok (0.002s)
2023-01-11T22:08:45.9044739Z   test_adaptive_pooling_bfloat16 (__main__.TestPoolingNN) ... ok (0.006s)
2023-01-11T22:08:45.9045137Z   test_adaptive_pooling_input_size (__main__.TestPoolingNN) ... ok (0.001s)
2023-01-11T22:08:45.9045681Z   test_adaptive_pooling_size_none (__main__.TestPoolingNN) ... ok (0.002s)
2023-01-11T22:08:45.9046018Z   test_adaptive_pooling_size_overflow (__main__.TestPoolingNN) ... ok (0.009s)
2023-01-11T22:08:45.9046299Z   test_max_unpool (__main__.TestPoolingNN) ... ok (0.227s)
2023-01-11T22:08:45.9046571Z   test_max_unpool2d_nhwc_cpu (__main__.TestPoolingNN) ... ok (0.003s)
2023-01-11T22:08:45.9046895Z   test_AdaptiveMaxPool1d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:08:45.9047342Z   test_AdaptiveMaxPool2d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:08:45.9047716Z   test_AdaptiveMaxPool3d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:08:45.9048087Z   test_AdaptiveMaxPool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.015s)
2023-01-11T22:08:45.9048424Z   test_AvgPool2d_empty_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:08:45.9048806Z   test_AvgPool3d_backward_after_cat_dim1_device_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9049211Z   test_FractionalMaxPool2d_zero_batch_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:08:45.9049573Z   test_FractionalMaxPool2d_zero_out_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:08:45.9049949Z   test_FractionalMaxPool2d_zero_samples_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:08:45.9050326Z   test_FractionalMaxPool3d_zero_batch_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:08:45.9050701Z   test_FractionalMaxPool3d_zero_out_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s)
2023-01-11T22:08:45.9051057Z   test_FractionalMaxPool3d_zero_samples_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:08:45.9051417Z   test_MaxPool1d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:08:45.9051764Z   test_MaxPool2d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:08:45.9052106Z   test_MaxPool3d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:08:45.9052432Z   test_MaxPool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.013s)
2023-01-11T22:08:45.9052852Z   test_MaxUnpool_index_errors_case10_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9053334Z   test_MaxUnpool_index_errors_case1_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9053809Z   test_MaxUnpool_index_errors_case2_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9054270Z   test_MaxUnpool_index_errors_case3_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9054736Z   test_MaxUnpool_index_errors_case4_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9055209Z   test_MaxUnpool_index_errors_case5_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9055675Z   test_MaxUnpool_index_errors_case6_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9056128Z   test_MaxUnpool_index_errors_case7_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9056597Z   test_MaxUnpool_index_errors_case8_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9057108Z   test_MaxUnpool_index_errors_case9_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2023-01-11T22:08:45.9057510Z   test_MaxUnpool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:08:45.9057859Z   test_adaptive_avg_pool2d_output_size_one_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:08:45.9058232Z   test_adaptive_avg_pool3d_output_size_one_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:08:45.9058625Z   test_adaptive_pool_invalid_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:08:45.9059036Z   test_adaptive_pool_odd_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2023-01-11T22:08:45.9059453Z   test_adaptive_pooling_empty_output_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.044s)
2023-01-11T22:08:45.9059838Z   test_adaptive_pooling_empty_output_size_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.044s)
2023-01-11T22:08:45.9060205Z   test_adaptive_pooling_max_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:08:45.9060568Z   test_adaptive_pooling_max_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s)
2023-01-11T22:08:45.9060927Z   test_adaptive_pooling_no_suppot_input_cpu_int16 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.022s)
2023-01-11T22:08:45.9061303Z   test_adaptive_pooling_no_suppot_input_cpu_int32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s)
2023-01-11T22:08:45.9061678Z   test_adaptive_pooling_no_suppot_input_cpu_int64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s)
2023-01-11T22:08:45.9062039Z   test_adaptive_pooling_no_suppot_input_cpu_int8 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s)
2023-01-11T22:08:45.9062412Z   test_adaptive_pooling_no_suppot_input_cpu_uint8 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s)
2023-01-11T22:08:45.9062787Z   test_adaptive_pooling_zero_batch_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:08:45.9063158Z   test_adaptive_pooling_zero_batch_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:08:45.9063498Z   test_avg_pool2d_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2023-01-11T22:08:45.9063838Z   test_avg_pool2d_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.342s)
2023-01-11T22:08:45.9064178Z   test_avg_pool2d_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (5.813s)
2023-01-11T22:08:45.9064519Z   test_fractional_max_pool2d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.144s)
2023-01-11T22:08:45.9064882Z   test_fractional_max_pool3d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.901s)
2023-01-11T22:08:45.9065233Z   test_fractional_max_pool_nan_inf_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:08:45.9065593Z   test_max_pool1d_corner_cases_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s)
2023-01-11T22:08:45.9065936Z   test_max_pool1d_corner_cases_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:08:45.9066278Z   test_max_pool1d_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.290s)
2023-01-11T22:08:45.9066607Z   test_max_pool1d_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.573s)
2023-01-11T22:08:45.9066938Z   test_max_pool2d_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s)
2023-01-11T22:08:45.9067271Z   test_max_pool2d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9067636Z   test_max_pool2d_indices_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9067995Z   test_max_pool2d_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.403s)
2023-01-11T22:08:45.9068321Z   test_max_pool2d_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (5.826s)
2023-01-11T22:08:45.9068730Z   test_max_pool3d_ndhwc_cpu_float16 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.004s)
2023-01-11T22:08:45.9069118Z   test_max_pool3d_ndhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T22:08:45.9069494Z   test_max_pool3d_ndhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s)
2023-01-11T22:08:45.9069838Z   test_max_pool_nan_inf_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s)
2023-01-11T22:08:45.9070225Z   test_maxpool3d_non_square_backward_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.514s)
2023-01-11T22:08:45.9070580Z   test_maxpool_indices_no_batch_dim_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU)
2023-01-11T22:08:45.9070916Z Check that indices with no batch dim is consistent with a single batch. ... ok (0.003s)
2023-01-11T22:08:45.9071257Z   test_pool3d_large_size_int64_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9071644Z   test_pool3d_size_one_feature_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9072011Z   test_pool_invalid_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.031s)
2023-01-11T22:08:45.9072344Z   test_pool_large_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.862s)
2023-01-11T22:08:45.9072701Z   test_pooling_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9073072Z   test_pooling_large_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:08:45.9073429Z   test_pooling_max_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:08:45.9073757Z   test_pooling_max_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s)
2023-01-11T22:08:45.9074172Z   test_pooling_shape_cpu (__main__.TestPoolingNNDeviceTypeCPU)
2023-01-11T22:08:45.9074481Z Test the output shape calculation for pooling functions ... ok (0.004s)
2023-01-11T22:08:45.9074787Z   test_pooling_size_empty_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.017s)
2023-01-11T22:08:45.9075126Z   test_pooling_zero_stride_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.051s)
2023-01-11T22:08:45.9075314Z 
2023-01-11T22:08:45.9075559Z ----------------------------------------------------------------------
2023-01-11T22:08:45.9075808Z Ran 92 tests in 22.745s
2023-01-11T22:08:45.9075927Z 
2023-01-11T22:08:45.9075986Z OK (skipped=23)
2023-01-11T22:08:45.9076097Z 
2023-01-11T22:08:45.9076183Z Generating XML reports...
2023-01-11T22:08:45.9076594Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestAvgPool-20230111220822.xml
2023-01-11T22:08:45.9077092Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNN-20230111220822.xml
2023-01-11T22:08:45.9077618Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNNDeviceTypeCPU-20230111220822.xml
2023-01-11T22:08:45.9077874Z 
2023-01-11T22:08:45.9078162Z ##[endgroup]
2023-01-11T22:08:45.9078545Z FINISHED PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling__eq60hem)
2023-01-11T22:08:45.9078748Z 
2023-01-11T22:08:45.9078950Z Running test_multiprocessing_spawn ... [2023-01-11 22:08:45.904055]
2023-01-11T22:08:45.9079455Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing_spawn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:08:45.904425]
2023-01-11T22:09:02.3961023Z 
2023-01-11T22:09:02.3961963Z Expand the folded group to see the log file of test_multiprocessing_spawn
2023-01-11T22:09:02.3962763Z ##[group]PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_mch_8znz)
2023-01-11T22:09:02.3963661Z Test results will be stored in test-reports/python-unittest/test_multiprocessing_spawn
2023-01-11T22:09:02.3963862Z 
2023-01-11T22:09:02.3963937Z Running tests...
2023-01-11T22:09:02.3964507Z ----------------------------------------------------------------------
2023-01-11T22:09:02.3964798Z   test_errors_pickleable (__main__.ErrorTest) ... ok (0.248s)
2023-01-11T22:09:02.3965095Z   test_exception_all (__main__.ForkTest) ... ok (0.052s)
2023-01-11T22:09:02.3968073Z   test_exception_single (__main__.ForkTest) ... ok (0.020s)
2023-01-11T22:09:02.3968544Z   test_first_argument_index (__main__.ForkTest) ... ok (0.009s)
2023-01-11T22:09:02.3969096Z   test_success (__main__.ForkTest) ... ok (0.008s)
2023-01-11T22:09:02.3969519Z   test_success_first_then_exception (__main__.ForkTest) ... ok (0.111s)
2023-01-11T22:09:02.3969926Z   test_success_non_blocking (__main__.ForkTest) ... ok (0.010s)
2023-01-11T22:09:02.3970321Z   test_terminate_exit (__main__.ForkTest) ... ok (0.009s)
2023-01-11T22:09:02.3970729Z   test_terminate_signal (__main__.ForkTest) ... ok (0.147s)
2023-01-11T22:09:02.3971595Z   test_exception_all (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.3972076Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.3972670Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.3973132Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.3973706Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.3974144Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.3974718Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.3999981Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4000312Z ok (1.526s)
2023-01-11T22:09:02.4000834Z   test_exception_raises (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4001376Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4001851Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4002201Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4002432Z ok (1.403s)
2023-01-11T22:09:02.4002874Z   test_exception_single (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4003226Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4004110Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4004733Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4005745Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4006433Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4007118Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4007478Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4007715Z ok (2.827s)
2023-01-11T22:09:02.4008167Z   test_first_argument_index (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4008528Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4008954Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4009425Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4009848Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4010174Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4010598Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4011004Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4014071Z ok (1.427s)
2023-01-11T22:09:02.4014398Z   test_signal_raises (__main__.SpawnTest) ... ok (0.009s)
2023-01-11T22:09:02.4015234Z   test_success (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4015802Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4016231Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4016839Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4017572Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4017933Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4018602Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4019244Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4019651Z ok (1.429s)
2023-01-11T22:09:02.4020518Z   test_success_first_then_exception (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4021187Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4021767Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4022129Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4022558Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4022866Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4023290Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4023629Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4023840Z ok (1.539s)
2023-01-11T22:09:02.4024287Z   test_success_non_blocking (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4024655Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4025078Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4025406Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4025831Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4026157Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4026578Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4026907Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4027129Z ok (1.428s)
2023-01-11T22:09:02.4027563Z   test_terminate_exit (__main__.SpawnTest) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:122: UserWarning: loaded 56 slow tests
2023-01-11T22:09:02.4028001Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2023-01-11T22:09:02.4028430Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:126: UserWarning: loaded 210 disabled tests
2023-01-11T22:09:02.4028770Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2023-01-11T22:09:02.4028993Z ok (1.431s)
2023-01-11T22:09:02.4029194Z   test_terminate_signal (__main__.SpawnTest) ... ok (1.322s)
2023-01-11T22:09:02.4029386Z 
2023-01-11T22:09:02.4029588Z ----------------------------------------------------------------------
2023-01-11T22:09:02.4029830Z Ran 19 tests in 14.959s
2023-01-11T22:09:02.4029944Z 
2023-01-11T22:09:02.4029992Z OK
2023-01-11T22:09:02.4030082Z 
2023-01-11T22:09:02.4030165Z Generating XML reports...
2023-01-11T22:09:02.4030582Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ErrorTest-20230111220847.xml
2023-01-11T22:09:02.4031094Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ForkTest-20230111220847.xml
2023-01-11T22:09:02.4031582Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-SpawnTest-20230111220847.xml
2023-01-11T22:09:02.4031804Z 
2023-01-11T22:09:02.4032176Z ##[endgroup]
2023-01-11T22:09:02.4032596Z FINISHED PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_mch_8znz)
2023-01-11T22:09:02.4032835Z 
2023-01-11T22:09:02.4033040Z Running test_cpp_extensions_open_device_registration ... [2023-01-11 22:09:02.396476]
2023-01-11T22:09:02.4033587Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_open_device_registration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:09:02.396939]
2023-01-11T22:09:25.9751914Z 
2023-01-11T22:09:25.9752507Z Expand the folded group to see the log file of test_cpp_extensions_open_device_registration
2023-01-11T22:09:25.9753902Z ##[group]PRINTING LOG FILE of test_cpp_extensions_open_device_registration (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_open_device_registration_pa9f0oli)
2023-01-11T22:09:25.9754879Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_open_device_registration
2023-01-11T22:09:25.9774211Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:09:25.9774434Z 
2023-01-11T22:09:25.9774554Z Running tests...
2023-01-11T22:09:25.9774975Z ----------------------------------------------------------------------
2023-01-11T22:09:25.9775565Z   test_open_device_registration (__main__.TestCppExtensionOpenRgistration) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root...
2023-01-11T22:09:25.9776170Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/custom_device_extension...
2023-01-11T22:09:25.9776697Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/custom_device_extension/build.ninja...
2023-01-11T22:09:25.9777145Z Building extension module custom_device_extension...
2023-01-11T22:09:25.9777534Z Using envvar MAX_JOBS (6) as the number of workers...
2023-01-11T22:09:25.9779820Z [1/2] c++ -MMD -MF open_registration_extension.o.d -DTORCH_EXTENSION_NAME=custom_device_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++17 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension.cpp -o open_registration_extension.o 
2023-01-11T22:09:25.9782148Z [2/2] c++ open_registration_extension.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o custom_device_extension.so
2023-01-11T22:09:25.9782722Z Loading extension module custom_device_extension...
2023-01-11T22:09:25.9783012Z ok (21.643s)
2023-01-11T22:09:25.9783157Z 
2023-01-11T22:09:25.9783449Z ----------------------------------------------------------------------
2023-01-11T22:09:25.9783791Z Ran 1 test in 21.648s
2023-01-11T22:09:25.9783947Z 
2023-01-11T22:09:25.9784027Z OK
2023-01-11T22:09:25.9784234Z 
2023-01-11T22:09:25.9784343Z Generating XML reports...
2023-01-11T22:09:25.9785048Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_open_device_registration/TEST-TestCppExtensionOpenRgistration-20230111220903.xml
2023-01-11T22:09:25.9785457Z 
2023-01-11T22:09:25.9785883Z ##[endgroup]
2023-01-11T22:09:25.9786580Z FINISHED PRINTING LOG FILE of test_cpp_extensions_open_device_registration (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_open_device_registration_pa9f0oli)
2023-01-11T22:09:25.9786968Z 
2023-01-11T22:09:25.9787197Z Running test_indexing ... [2023-01-11 22:09:25.975576]
2023-01-11T22:09:25.9787886Z Executing ['/opt/conda/bin/python', '-bb', 'test_indexing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:09:25.975997]
2023-01-11T22:09:29.4427176Z 
2023-01-11T22:09:29.4427716Z Expand the folded group to see the log file of test_indexing
2023-01-11T22:09:29.4428753Z ##[group]PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_tueoqcd1)
2023-01-11T22:09:29.4429494Z Test results will be stored in test-reports/python-unittest/test_indexing
2023-01-11T22:09:29.4429671Z 
2023-01-11T22:09:29.4429743Z Running tests...
2023-01-11T22:09:29.4430044Z ----------------------------------------------------------------------
2023-01-11T22:09:29.4430352Z   test_boolean_assignment_value_mismatch_cpu (__main__.NumpyTestsCPU) ... ok (0.014s)
2023-01-11T22:09:29.4430674Z   test_boolean_indexing_alldims_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4431019Z   test_boolean_indexing_onedim_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4431339Z   test_boolean_indexing_twodim_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4431639Z   test_boolean_indexing_weirdness_cpu (__main__.NumpyTestsCPU) ... ok (0.010s)
2023-01-11T22:09:29.4431954Z   test_boolean_indexing_weirdness_tensors_cpu (__main__.NumpyTestsCPU) ... ok (0.010s)
2023-01-11T22:09:29.4432324Z   test_boolean_list_indexing_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4432874Z   test_boolean_shape_mismatch_cpu (__main__.NumpyTestsCPU) ... test_indexing.py:1465: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2023-01-11T22:09:29.4433431Z   self.assertRaisesRegex(IndexError, 'mask', lambda: arr[index])
2023-01-11T22:09:29.4433928Z test_indexing.py:1466: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2023-01-11T22:09:29.4434674Z   self.assertRaisesRegex(IndexError, 'mask', lambda: arr[(slice(None), index)])
2023-01-11T22:09:29.4434918Z ok (0.018s)
2023-01-11T22:09:29.4435135Z   test_broadcast_subspace_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4435426Z   test_broaderrors_indexing_cpu (__main__.NumpyTestsCPU) ... ok (0.018s)
2023-01-11T22:09:29.4435713Z   test_ellipsis_index_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4435977Z   test_empty_fancy_index_cpu (__main__.NumpyTestsCPU) ... ok (0.005s)
2023-01-11T22:09:29.4436256Z   test_empty_tuple_index_cpu (__main__.NumpyTestsCPU) ... ok (0.001s)
2023-01-11T22:09:29.4436546Z   test_everything_returns_views_cpu (__main__.NumpyTestsCPU) ... ok (0.001s)
2023-01-11T22:09:29.4436832Z   test_index_is_larger_cpu (__main__.NumpyTestsCPU) ... ok (0.001s)
2023-01-11T22:09:29.4437293Z   test_index_no_floats_cpu (__main__.NumpyTestsCPU) ... ok (0.016s)
2023-01-11T22:09:29.4437565Z   test_none_index_cpu (__main__.NumpyTestsCPU) ... ok (0.001s)
2023-01-11T22:09:29.4437836Z   test_single_bool_index_cpu (__main__.NumpyTestsCPU) ... ok (0.001s)
2023-01-11T22:09:29.4438103Z   test_single_int_index_cpu (__main__.NumpyTestsCPU) ... ok (0.002s)
2023-01-11T22:09:29.4438391Z   test_trivial_fancy_out_of_bounds_cpu (__main__.NumpyTestsCPU) ... ok (0.024s)
2023-01-11T22:09:29.4438755Z   test_advancedindex_big_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4439053Z   test_advancedindex_cpu_float16 (__main__.TestIndexingCPU) ... ok (0.028s)
2023-01-11T22:09:29.4439655Z   test_advancedindex_cpu_float64 (__main__.TestIndexingCPU) ... test_indexing.py:194: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:09:29.4440223Z   strided.set_(reference.storage(), storage_offset=0,
2023-01-11T22:09:29.4440745Z test_indexing.py:207: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:09:29.4441246Z   strided.set_(reference.storage(), storage_offset=4,
2023-01-11T22:09:29.4441752Z test_indexing.py:321: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:09:29.4442259Z   strided.set_(reference.storage(), 1, size=torch.Size([2, 4]),
2023-01-11T22:09:29.4442781Z test_indexing.py:364: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:09:29.4443284Z   strided.set_(reference.storage(), 10, size=torch.Size([2, 2]),
2023-01-11T22:09:29.4444001Z test_indexing.py:374: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:09:29.4444498Z   strided.set_(reference.storage(), 10, size=torch.Size([2, 2]),
2023-01-11T22:09:29.4445019Z test_indexing.py:384: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2023-01-11T22:09:29.4445522Z   strided.set_(reference.storage(), 10, size=torch.Size([2, 2]),
2023-01-11T22:09:29.4445739Z ok (0.163s)
2023-01-11T22:09:29.4445965Z   test_basic_advanced_combined_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4446269Z   test_bool_indices_accumulate_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4446558Z   test_bool_indices_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4446827Z   test_byte_mask2d_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4447094Z   test_byte_mask_accumulate_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4447374Z   test_byte_mask_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4447657Z   test_byte_tensor_assignment_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4448006Z   test_cpu_indices_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:09:29.4448308Z   test_ellipsis_tensor_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4448585Z   test_empty_index_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4448853Z   test_empty_ndim_index_bool_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4449138Z   test_empty_ndim_index_cpu (__main__.TestIndexingCPU) ... ok (0.006s)
2023-01-11T22:09:29.4449457Z   test_empty_slice_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4449789Z   test_gather_take_along_dim_cross_device_cpu_float32 (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:09:29.4450106Z   test_getitem_scalars_cpu (__main__.TestIndexingCPU) ... ok (0.010s)
2023-01-11T22:09:29.4450378Z   test_index_cpu (__main__.TestIndexingCPU) ... ok (0.029s)
2023-01-11T22:09:29.4450665Z   test_index_getitem_copy_bools_slices_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4450950Z   test_index_ind_dtype_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4451261Z   test_index_put_accumulate_duplicate_indices_cpu (__main__.TestIndexingCPU) ... ok (0.122s)
2023-01-11T22:09:29.4451594Z   test_index_put_accumulate_expanded_values_cpu (__main__.TestIndexingCPU) ... ok (0.003s)
2023-01-11T22:09:29.4451919Z   test_index_put_accumulate_large_tensor_cpu (__main__.TestIndexingCPU) ... ok (1.043s)
2023-01-11T22:09:29.4452257Z   test_index_put_accumulate_non_contiguous_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:09:29.4452636Z   test_index_put_accumulate_with_optional_tensors_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:09:29.4452982Z   test_index_put_src_datatype_cpu_bfloat16 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4453291Z   test_index_put_src_datatype_cpu_bool (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4453595Z   test_index_put_src_datatype_cpu_complex128 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4453916Z   test_index_put_src_datatype_cpu_complex64 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4454233Z   test_index_put_src_datatype_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4454528Z   test_index_put_src_datatype_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4454835Z   test_index_scalar_with_bool_mask_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4455140Z   test_index_setitem_bools_slices_cpu (__main__.TestIndexingCPU) ... ok (0.011s)
2023-01-11T22:09:29.4455441Z   test_index_src_datatype_cpu_bfloat16 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4455727Z   test_index_src_datatype_cpu_bool (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4456024Z   test_index_src_datatype_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4456324Z   test_index_src_datatype_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4456598Z   test_int_assignment_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4456877Z   test_int_indices2d_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4457163Z   test_int_indices_broadcast_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4457442Z   test_int_indices_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4457730Z   test_invalid_device_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s)
2023-01-11T22:09:29.4458028Z   test_invalid_index_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4458304Z   test_jit_indexing_cpu (__main__.TestIndexingCPU) ... ok (0.045s)
2023-01-11T22:09:29.4458579Z   test_multiple_bool_indices_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4458866Z   test_multiple_byte_mask_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4459144Z   test_multiple_int_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4459430Z   test_none_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4459701Z   test_out_of_bound_index_cpu (__main__.TestIndexingCPU) ... ok (0.005s)
2023-01-11T22:09:29.4459992Z   test_set_item_to_scalar_tensor_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4460293Z   test_setitem_expansion_error_cpu (__main__.TestIndexingCPU) ... ok (0.010s)
2023-01-11T22:09:29.4460606Z   test_setitem_scalars_cpu (__main__.TestIndexingCPU) ... ok (0.009s)
2023-01-11T22:09:29.4460880Z   test_single_int_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4461155Z   test_step_assignment_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4461412Z   test_step_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4461688Z   test_take_along_dim_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.004s)
2023-01-11T22:09:29.4461978Z   test_take_along_dim_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.004s)
2023-01-11T22:09:29.4462279Z   test_take_along_dim_invalid_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.015s)
2023-01-11T22:09:29.4462575Z   test_take_along_dim_invalid_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.015s)
2023-01-11T22:09:29.4462870Z   test_variable_slicing_cpu (__main__.TestIndexingCPU) ... ok (0.001s)
2023-01-11T22:09:29.4463151Z   test_zero_dim_index_cpu (__main__.TestIndexingCPU) ... ok (0.002s)
2023-01-11T22:09:29.4463312Z 
2023-01-11T22:09:29.4463528Z ----------------------------------------------------------------------
2023-01-11T22:09:29.4463770Z Ran 82 tests in 1.714s
2023-01-11T22:09:29.4463882Z 
2023-01-11T22:09:29.4463954Z OK (skipped=5)
2023-01-11T22:09:29.4464058Z 
2023-01-11T22:09:29.4464142Z Generating XML reports...
2023-01-11T22:09:29.4464543Z Generated XML report: test-reports/python-unittest/test_indexing/TEST-NumpyTestsCPU-20230111220927.xml
2023-01-11T22:09:29.4465044Z Generated XML report: test-reports/python-unittest/test_indexing/TEST-TestIndexingCPU-20230111220927.xml
2023-01-11T22:09:29.4465274Z 
2023-01-11T22:09:29.4465551Z ##[endgroup]
2023-01-11T22:09:29.4465910Z FINISHED PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_tueoqcd1)
2023-01-11T22:09:29.4466120Z 
2023-01-11T22:09:29.4466314Z Running test_namedtuple_return_api ... [2023-01-11 22:09:29.443030]
2023-01-11T22:09:29.4466809Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtuple_return_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:09:29.443380]
2023-01-11T22:09:32.5685420Z 
2023-01-11T22:09:32.5685968Z Expand the folded group to see the log file of test_namedtuple_return_api
2023-01-11T22:09:32.5686954Z ##[group]PRINTING LOG FILE of test_namedtuple_return_api (/var/lib/jenkins/workspace/test/test-reports/test_namedtuple_return_api_b_m74iac)
2023-01-11T22:09:32.5687893Z Test results will be stored in test-reports/python-unittest/test_namedtuple_return_api
2023-01-11T22:09:32.5688164Z 
2023-01-11T22:09:32.5688242Z Running tests...
2023-01-11T22:09:32.5688566Z ----------------------------------------------------------------------
2023-01-11T22:09:32.5688924Z   test_import_return_types (__main__.TestNamedTupleAPI) ... ok (0.239s)
2023-01-11T22:09:32.5689372Z   test_namedtuple_return (__main__.TestNamedTupleAPI) ... test_namedtuple_return_api.py:149: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2023-01-11T22:09:32.5690103Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2023-01-11T22:09:32.5690489Z Q, R = torch.qr(A, some)
2023-01-11T22:09:32.5690683Z should be replaced with
2023-01-11T22:09:32.5691228Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2459.)
2023-01-11T22:09:32.5691835Z   ret1 = func(a, *op.input)
2023-01-11T22:09:32.5694622Z test_namedtuple_return_api.py:155: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2023-01-11T22:09:32.5695129Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2023-01-11T22:09:32.5695443Z Q, R = torch.qr(A, some)
2023-01-11T22:09:32.5695638Z should be replaced with
2023-01-11T22:09:32.5696413Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2471.)
2023-01-11T22:09:32.5697160Z   ret2 = func(a, *op.input, out=tuple(ret1))
2023-01-11T22:09:32.5697827Z test_namedtuple_return_api.py:149: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2023-01-11T22:09:32.5698471Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2023-01-11T22:09:32.5698789Z L, _ = torch.symeig(A, upper=upper)
2023-01-11T22:09:32.5698985Z should be replaced with
2023-01-11T22:09:32.5699279Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2023-01-11T22:09:32.5699486Z and
2023-01-11T22:09:32.5699661Z L, V = torch.symeig(A, eigenvectors=True)
2023-01-11T22:09:32.5699868Z should be replaced with
2023-01-11T22:09:32.5700325Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2910.)
2023-01-11T22:09:32.5700647Z   ret1 = func(a, *op.input)
2023-01-11T22:09:32.5700993Z test_namedtuple_return_api.py:155: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2023-01-11T22:09:32.5701444Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2023-01-11T22:09:32.5701758Z L, _ = torch.symeig(A, upper=upper)
2023-01-11T22:09:32.5701949Z should be replaced with
2023-01-11T22:09:32.5702231Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2023-01-11T22:09:32.5702441Z and
2023-01-11T22:09:32.5702616Z L, V = torch.symeig(A, eigenvectors=True)
2023-01-11T22:09:32.5702820Z should be replaced with
2023-01-11T22:09:32.5705963Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2928.)
2023-01-11T22:09:32.5706568Z   ret2 = func(a, *op.input, out=tuple(ret1))
2023-01-11T22:09:32.5707026Z test_namedtuple_return_api.py:149: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2023-01-11T22:09:32.5707531Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2023-01-11T22:09:32.5707863Z X = torch.triangular_solve(B, A).solution
2023-01-11T22:09:32.5708187Z should be replaced with
2023-01-11T22:09:32.5708827Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2225.)
2023-01-11T22:09:32.5709165Z   ret1 = func(a, *op.input)
2023-01-11T22:09:32.5709539Z test_namedtuple_return_api.py:149: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2023-01-11T22:09:32.5709892Z LU, pivots = torch.lu(A, compute_pivots)
2023-01-11T22:09:32.5710102Z should be replaced with
2023-01-11T22:09:32.5710335Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2023-01-11T22:09:32.5710530Z and
2023-01-11T22:09:32.5710741Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2023-01-11T22:09:32.5710967Z should be replaced with
2023-01-11T22:09:32.5711308Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2029.)
2023-01-11T22:09:32.5711643Z   ret1 = func(a, *op.input)
2023-01-11T22:09:32.5711819Z ok (0.020s)
2023-01-11T22:09:32.5712147Z   test_native_functions_yaml (__main__.TestNamedTupleAPI) ... ok (1.370s)
2023-01-11T22:09:32.5712319Z 
2023-01-11T22:09:32.5712549Z ----------------------------------------------------------------------
2023-01-11T22:09:32.5712794Z Ran 3 tests in 1.629s
2023-01-11T22:09:32.5712909Z 
2023-01-11T22:09:32.5712972Z OK
2023-01-11T22:09:32.5713052Z 
2023-01-11T22:09:32.5713138Z Generating XML reports...
2023-01-11T22:09:32.5713578Z Generated XML report: test-reports/python-unittest/test_namedtuple_return_api/TEST-TestNamedTupleAPI-20230111220930.xml
2023-01-11T22:09:32.5713880Z 
2023-01-11T22:09:32.5714307Z ##[endgroup]
2023-01-11T22:09:32.5714727Z FINISHED PRINTING LOG FILE of test_namedtuple_return_api (/var/lib/jenkins/workspace/test/test-reports/test_namedtuple_return_api_b_m74iac)
2023-01-11T22:09:32.5714967Z 
2023-01-11T22:09:32.5715135Z Running test_jit_disabled ... [2023-01-11 22:09:32.568895]
2023-01-11T22:09:32.5715607Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_disabled.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:09:32.569313]
2023-01-11T22:09:34.4552640Z 
2023-01-11T22:09:34.4553532Z Expand the folded group to see the log file of test_jit_disabled
2023-01-11T22:09:34.4554997Z ##[group]PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_yuazmc88)
2023-01-11T22:09:34.4556064Z Test results will be stored in test-reports/python-unittest/test_jit_disabled
2023-01-11T22:09:34.4556426Z 
2023-01-11T22:09:34.4556559Z Running tests...
2023-01-11T22:09:34.4556926Z ----------------------------------------------------------------------
2023-01-11T22:09:34.4557273Z   test_attribute (__main__.TestJitDisabled) ... ok (0.286s)
2023-01-11T22:09:34.4557635Z   test_recursive_script (__main__.TestJitDisabled) ... ok (0.040s)
2023-01-11T22:09:34.4558159Z   test_script_module_construction (__main__.TestJitDisabled) ... ok (0.039s)
2023-01-11T22:09:34.4558472Z 
2023-01-11T22:09:34.4558692Z ----------------------------------------------------------------------
2023-01-11T22:09:34.4558924Z Ran 3 tests in 0.365s
2023-01-11T22:09:34.4559039Z 
2023-01-11T22:09:34.4559098Z OK
2023-01-11T22:09:34.4559188Z 
2023-01-11T22:09:34.4559271Z Generating XML reports...
2023-01-11T22:09:34.4559685Z Generated XML report: test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20230111220933.xml
2023-01-11T22:09:34.4559916Z 
2023-01-11T22:09:34.4560160Z ##[endgroup]
2023-01-11T22:09:34.4560732Z FINISHED PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_yuazmc88)
2023-01-11T22:09:34.4560957Z 
2023-01-11T22:09:34.4561219Z Running test_show_pickle ... [2023-01-11 22:09:34.455591]
2023-01-11T22:09:34.4562016Z Executing ['/opt/conda/bin/python', '-bb', 'test_show_pickle.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:09:34.455955]
2023-01-11T22:09:36.2225861Z 
2023-01-11T22:09:36.2226430Z Expand the folded group to see the log file of test_show_pickle
2023-01-11T22:09:36.2227378Z ##[group]PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_24i7he_4)
2023-01-11T22:09:36.2228307Z Test results will be stored in test-reports/python-unittest/test_show_pickle
2023-01-11T22:09:36.2228647Z 
2023-01-11T22:09:36.2228781Z Running tests...
2023-01-11T22:09:36.2229316Z ----------------------------------------------------------------------
2023-01-11T22:09:36.2229824Z   test_scripted_model (__main__.TestShowPickle) ... ok (0.263s)
2023-01-11T22:09:36.2230108Z 
2023-01-11T22:09:36.2230483Z ----------------------------------------------------------------------
2023-01-11T22:09:36.2230845Z Ran 1 test in 0.263s
2023-01-11T22:09:36.2230943Z 
2023-01-11T22:09:36.2231002Z OK
2023-01-11T22:09:36.2231090Z 
2023-01-11T22:09:36.2231172Z Generating XML reports...
2023-01-11T22:09:36.2231589Z Generated XML report: test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20230111220935.xml
2023-01-11T22:09:36.2231816Z 
2023-01-11T22:09:36.2232023Z ##[endgroup]
2023-01-11T22:09:36.2232630Z FINISHED PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_24i7he_4)
2023-01-11T22:09:36.2232848Z 
2023-01-11T22:09:36.2233024Z Running test_jit_cuda_fuser ... [2023-01-11 22:09:36.222847]
2023-01-11T22:09:36.2233983Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_cuda_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:09:36.223193]
2023-01-11T22:09:39.2884885Z 
2023-01-11T22:09:39.2885462Z Expand the folded group to see the log file of test_jit_cuda_fuser
2023-01-11T22:09:39.2886408Z ##[group]PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_gttiji_9)
2023-01-11T22:09:39.2887280Z Test results will be stored in test-reports/python-unittest/test_jit_cuda_fuser
2023-01-11T22:09:39.2887610Z 
2023-01-11T22:09:39.2887723Z Running tests...
2023-01-11T22:09:39.2888855Z ----------------------------------------------------------------------
2023-01-11T22:09:39.2889433Z   test__softmax_function (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2889791Z   test__softmax_function_half_to_float (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2910846Z   test_addcmul_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2911224Z   test_alias_pass_fix (__main__.TestCudaFuser) ... skip: skipping this test since unsqueeze is disabled now (0.001s)
2023-01-11T22:09:39.2911562Z   test_autocast_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2911868Z   test_autocast_1_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2912170Z   test_autocast_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2912459Z   test_autocast_2_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2912766Z   test_backward_type (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2913075Z   test_batch_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2913396Z   test_batch_norm_impl_index_correctness (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2913720Z   test_batch_norm_impl_index_inner_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2914128Z   test_bfloat (__main__.TestCudaFuser) ... skip: device does not support BFloat16 (0.001s)
2023-01-11T22:09:39.2914454Z   test_binary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2914740Z   test_binary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2915065Z   test_binary_ops_channels_last_with_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2915462Z   test_binary_ops_complex (__main__.TestCudaFuser) ... skip: see issue https://github.com/csarofeen/pytorch/issues/1730 (0.001s)
2023-01-11T22:09:39.2915834Z   test_binary_ops_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2916125Z   test_branches (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2916422Z   test_broadcasting_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2916725Z   test_broadcasting_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2917018Z   test_broadcasting_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2917318Z   test_broadcasting_3 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2917826Z   test_broadcasting_multiple_output (__main__.TestCudaFuser) ... skip: broadcast on branches can't be resolved yet (0.001s)
2023-01-11T22:09:39.2918239Z   test_broadcasting_multiple_output_shape (__main__.TestCudaFuser) ... skip: Broadcast with different output not supported yet (0.001s)
2023-01-11T22:09:39.2918778Z   test_broadcasting_partition_logic_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2919120Z   test_broadcasting_partition_logic_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2919465Z   test_build_shape_expression_native_dropout (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2919793Z   test_category_rule (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2920239Z   test_channels_last_with_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2920661Z   test_chunk (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2921141Z   test_clamp (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2921639Z   test_clamp_reversed_bound (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2921959Z   test_clean_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2922396Z   test_const (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2922811Z   test_contiguous_on_broadcasted (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2923282Z   test_conv2d_bias (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2923934Z   test_conv2d_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2924250Z   test_cpu_scalar (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2924544Z   test_cuda_fusion_guard (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2924869Z   test_cuda_fusion_guard_backward (__main__.TestCudaFuser) ... skip: requires NVFuser (0.001s)
2023-01-11T22:09:39.2925189Z   test_device_constant (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2925729Z   test_disable_const_chunk_propagation_for_normalization (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2926366Z   test_disable_sibling_fuse (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2926881Z   test_dropout_inference_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2927435Z   test_dropout_train_nograd_fusion (__main__.TestCudaFuser) ... skip: not enough memory (0.001s)
2023-01-11T22:09:39.2928047Z   test_dropout_train_nograd_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2928645Z   test_dropout_training_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2929235Z   test_dropout_training_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2929784Z   test_dynamic_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2930300Z   test_expand (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2930729Z   test_fix_shape_expression_bn (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2931075Z   test_flatten (__main__.TestCudaFuser) ... skip: skipping this test since flatten is disabled now (0.001s)
2023-01-11T22:09:39.2931391Z   test_gelu (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2931668Z   test_grad_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2931997Z   test_graph_for_with_missing_optimized_engine (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2932318Z   test_graph_rng (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2932589Z   test_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2932934Z   test_high_rank_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2933237Z   test_inf_quick_patch (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2933541Z   test_inplace_removal (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2933978Z   test_input_output_passthrough (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2934285Z   test_int_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2934584Z   test_issue1445_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2934876Z   test_issue_1785 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2935218Z   test_layer_norm_autodiff (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2935526Z   test_layer_norm_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2935848Z   test_layer_norm_trivial_reduce_dim (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2936152Z   test_linear (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2936490Z   test_linear_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2936814Z   test_multiple_device_pw (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2937129Z   test_native_batch_norm_backward (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2937436Z   test_native_layer_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2937744Z   test_native_layer_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2938058Z   test_native_layer_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2938395Z   test_nested_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.000s)
2023-01-11T22:09:39.2938712Z   test_no_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2938994Z   test_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2939274Z   test_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2939562Z   test_norm_channels_last (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2939855Z   test_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2940149Z   test_norm_half_layer (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2940440Z   test_norm_large (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2940737Z   test_normalization_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2941079Z   test_nvfuser_comparison_callbacks_with_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2941443Z   test_nvfuser_comparison_callbacks_without_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2941780Z   test_overlapped_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2942085Z   test_permutation_preservation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2942426Z   test_permutation_preservation_edge_case_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2942784Z   test_permutation_preservation_edge_case_1_broken (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2943126Z   test_permutation_preservation_edge_case_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2943443Z   test_permute (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2943748Z   test_pointwise_reference_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2944057Z   test_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2944364Z   test_profile_ivalue_multiple_profiles (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2944715Z   test_profiling_node (__main__.TestCudaFuser) ... skip: Skipped due to rand_like behavior change (0.001s)
2023-01-11T22:09:39.2945121Z   test_pw_single_reduction_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2945423Z   test_random_topo (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2945715Z   test_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2946018Z   test_reduction_dtypes_axis (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2946371Z   test_reduction_empty_axes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2946680Z   test_reduction_multiple_output (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2947002Z   test_reduction_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2947315Z   test_reduction_sizes_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2947626Z   test_remove_output_used_only_in_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2947931Z   test_rsub (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2948224Z   test_scalar_cuda_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2948523Z   test_scalar_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2948806Z   test_scalar_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2949115Z   test_scalar_tensor_permuted (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2949454Z   test_scheduler_with_polymorphic_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2949875Z   test_shape_expression (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s)
2023-01-11T22:09:39.2950220Z   test_sibling_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2950538Z   test_sibling_fusion_no_scalar_inputs (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2950869Z   test_single_reduction_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2951276Z   test_singleton_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2951701Z   test_skip_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2952147Z   test_softmax (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2952612Z   test_softmax_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2953074Z   test_softmax_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2953500Z   test_softmax_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2953923Z   test_softplus_fuser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2954474Z   test_squeeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s)
2023-01-11T22:09:39.2955037Z   test_squeeze_negative_dim (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s)
2023-01-11T22:09:39.2955609Z   test_squeeze_zero (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s)
2023-01-11T22:09:39.2955957Z   test_strict_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2956238Z   test_sum_to_one (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2956526Z   test_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2956815Z   test_ternary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2957123Z   test_ternary_ops_integer_compatibility (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2957454Z   test_ternary_ops_type_promotion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2957855Z   test_to_boolean (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2958143Z   test_to_copy (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2958429Z   test_to_dtype_bf16_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2958737Z   test_to_dtype_bf16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2959106Z   test_to_dtype_fp16_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2959416Z   test_to_dtype_fp16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2959702Z   test_to_dtype_fp32_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2960000Z   test_to_dtype_fp32_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2960298Z   test_transpose (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2960587Z   test_transpose_default (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2960897Z   test_trivial_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2961197Z   test_type_as_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2961492Z   test_type_inference (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2961781Z   test_unary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2962071Z   test_unary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2962408Z   test_unsqueeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s)
2023-01-11T22:09:39.2962728Z   test_variance (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2963029Z   test_variance_profiling (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2963565Z   test_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.001s)
2023-01-11T22:09:39.2963910Z   test_view_before_permute (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2023-01-11T22:09:39.2964250Z   test_view_copy_graph_guard (__main__.TestCudaFuser) ... skip: skipping this test since reshape is disabled now (0.001s)
2023-01-11T22:09:39.2964646Z   test_view_copy_graph_guard_double_fusion (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.001s)
2023-01-11T22:09:39.2965016Z   test_can_be_enabled_nvfuser (__main__.TestEnableDisableCudaFuser) ... ok (0.001s)
2023-01-11T22:09:39.2965354Z   test_context_manager_test (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.001s)
2023-01-11T22:09:39.2965713Z   test_register_fuser (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.000s)
2023-01-11T22:09:39.2966043Z   test_register_fuser_cpu (__main__.TestEnableDisableCudaFuser) ... ok (0.003s)
2023-01-11T22:09:39.2966371Z   test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... ok (0.054s)
2023-01-11T22:09:39.2966551Z 
2023-01-11T22:09:39.2966793Z ----------------------------------------------------------------------
2023-01-11T22:09:39.2967033Z Ran 158 tests in 0.203s
2023-01-11T22:09:39.2967149Z 
2023-01-11T22:09:39.2967222Z OK (skipped=155)
2023-01-11T22:09:39.2967331Z 
2023-01-11T22:09:39.2967414Z Generating XML reports...
2023-01-11T22:09:39.2967863Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestEnableDisableCudaFuser-20230111220938.xml
2023-01-11T22:09:39.2968451Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-jit.test_fuser_common.TestFuserCommon-20230111220938.xml
2023-01-11T22:09:39.2968988Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestCudaFuser-20230111220938.xml
2023-01-11T22:09:39.2969210Z 
2023-01-11T22:09:39.2969496Z ##[endgroup]
2023-01-11T22:09:39.2969957Z FINISHED PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_gttiji_9)
2023-01-11T22:09:39.2970179Z 
2023-01-11T22:09:39.2970375Z Running test_cpp_extensions_aot_no_ninja ... [2023-01-11 22:09:39.289029]
2023-01-11T22:09:40.7044769Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:09:40.8589435Z running install
2023-01-11T22:09:40.8590453Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2023-01-11T22:09:40.8591146Z   setuptools.SetuptoolsDeprecationWarning,
2023-01-11T22:09:40.8686664Z running build
2023-01-11T22:09:40.8686867Z running build_py
2023-01-11T22:09:40.8729890Z creating build
2023-01-11T22:09:40.8730311Z creating build/lib.linux-x86_64-cpython-37
2023-01-11T22:09:40.8752565Z creating build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension
2023-01-11T22:09:40.8753304Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension
2023-01-11T22:09:40.8754613Z running build_ext
2023-01-11T22:09:40.8768050Z building 'torch_test_cpp_extension.cpp' extension
2023-01-11T22:09:40.8768387Z creating build/temp.linux-x86_64-cpython-37
2023-01-11T22:09:40.8786725Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c extension.cpp -o build/temp.linux-x86_64-cpython-37/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2023-01-11T22:10:08.8856405Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
2023-01-11T22:10:08.8857170Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/Exceptions.h:14:0,
2023-01-11T22:10:08.8858071Z                  from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2023-01-11T22:10:08.8858536Z                  from /opt/conda/lib/python3.7/site-packages/torch/include/torch/extension.h:6,
2023-01-11T22:10:08.8858798Z                  from extension.cpp:1:
2023-01-11T22:10:08.8859353Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2023-01-11T22:10:08.8859691Z extension.cpp:40:53:   required from here
2023-01-11T22:10:08.8860486Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::<anonymous>’ [-Wattributes]
2023-01-11T22:10:08.8861282Z  class class_ : public detail::generic_type {
2023-01-11T22:10:08.8861614Z        ^~~~~~
2023-01-11T22:10:08.8862292Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2023-01-11T22:10:08.8863916Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so
2023-01-11T22:10:09.2112295Z building 'torch_test_cpp_extension.ort' extension
2023-01-11T22:10:09.2115773Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-37/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2023-01-11T22:10:35.1175098Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
2023-01-11T22:10:35.1186343Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/ort_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so
2023-01-11T22:10:35.4595292Z building 'torch_test_cpp_extension.rng' extension
2023-01-11T22:10:35.4597880Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-37/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2023-01-11T22:11:04.8249016Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
2023-01-11T22:11:04.8249540Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0,
2023-01-11T22:11:04.8249972Z                  from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec.h:6,
2023-01-11T22:11:04.8251698Z                  from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2023-01-11T22:11:04.8253342Z                  from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8,
2023-01-11T22:11:04.8253668Z                  from rng_extension.cpp:6:
2023-01-11T22:11:04.8254118Z /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2023-01-11T22:11:04.8254427Z  # pragma unroll
2023-01-11T22:11:04.8254584Z  
2023-01-11T22:11:04.8261179Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/rng_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so
2023-01-11T22:11:05.1475250Z running install_lib
2023-01-11T22:11:05.1525665Z creating install
2023-01-11T22:11:05.1541081Z creating install/opt
2023-01-11T22:11:05.1559028Z creating install/opt/conda
2023-01-11T22:11:05.1583716Z creating install/opt/conda/lib
2023-01-11T22:11:05.1584051Z creating install/opt/conda/lib/python3.7
2023-01-11T22:11:05.1603273Z creating install/opt/conda/lib/python3.7/site-packages
2023-01-11T22:11:05.1615499Z creating install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension
2023-01-11T22:11:05.1634629Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension
2023-01-11T22:11:05.1635751Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension
2023-01-11T22:11:05.1707598Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension
2023-01-11T22:11:05.1777720Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension
2023-01-11T22:11:05.1855508Z byte-compiling ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-37.pyc
2023-01-11T22:11:05.1871807Z running install_egg_info
2023-01-11T22:11:05.1982106Z running egg_info
2023-01-11T22:11:05.1982871Z creating torch_test_cpp_extension.egg-info
2023-01-11T22:11:05.2040209Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2023-01-11T22:11:05.2041842Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2023-01-11T22:11:05.2043795Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2023-01-11T22:11:05.2045177Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2023-01-11T22:11:05.2084887Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2023-01-11T22:11:05.2090578Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2023-01-11T22:11:05.2091415Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension-0.0.0-py3.7.egg-info
2023-01-11T22:11:05.2111384Z running install_scripts
2023-01-11T22:11:06.9552948Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:11:06.9788613Z running install
2023-01-11T22:11:06.9789727Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2023-01-11T22:11:06.9790523Z   setuptools.SetuptoolsDeprecationWarning,
2023-01-11T22:11:06.9888871Z running build
2023-01-11T22:11:06.9889141Z running build_ext
2023-01-11T22:11:07.0271928Z building 'no_python_abi_suffix_test' extension
2023-01-11T22:11:07.0272262Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build
2023-01-11T22:11:07.0283878Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37
2023-01-11T22:11:07.0675259Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/build.ninja...
2023-01-11T22:11:07.0675882Z Compiling objects...
2023-01-11T22:11:07.0676287Z Using envvar MAX_JOBS (6) as the number of workers...
2023-01-11T22:11:07.1389439Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/opt/conda/include/python3.7m -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
2023-01-11T22:11:07.1391032Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
2023-01-11T22:11:07.1435492Z creating build/lib.linux-x86_64-cpython-37
2023-01-11T22:11:07.1453186Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so
2023-01-11T22:11:07.3197441Z running install_lib
2023-01-11T22:11:07.3246529Z creating install
2023-01-11T22:11:07.3278425Z creating install/opt
2023-01-11T22:11:07.3297723Z creating install/opt/conda
2023-01-11T22:11:07.3317442Z creating install/opt/conda/lib
2023-01-11T22:11:07.3328856Z creating install/opt/conda/lib/python3.7
2023-01-11T22:11:07.3329284Z creating install/opt/conda/lib/python3.7/site-packages
2023-01-11T22:11:07.3353755Z copying build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.7/site-packages
2023-01-11T22:11:07.3360174Z running install_egg_info
2023-01-11T22:11:07.3473704Z running egg_info
2023-01-11T22:11:07.3474130Z creating no_python_abi_suffix_test.egg-info
2023-01-11T22:11:07.3523708Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2023-01-11T22:11:07.3526712Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2023-01-11T22:11:07.3529555Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2023-01-11T22:11:07.3530675Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2023-01-11T22:11:07.3571690Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2023-01-11T22:11:07.3577873Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2023-01-11T22:11:07.3578770Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.7/site-packages/no_python_abi_suffix_test-0.0.0-py3.7.egg-info
2023-01-11T22:11:07.3583120Z running install_scripts
2023-01-11T22:11:07.6699649Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:11:07.669588]
2023-01-11T22:11:09.9281462Z 
2023-01-11T22:11:09.9281919Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja
2023-01-11T22:11:09.9282871Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_m08nyzfs)
2023-01-11T22:11:09.9283633Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja
2023-01-11T22:11:09.9284026Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2023-01-11T22:11:09.9284183Z 
2023-01-11T22:11:09.9284252Z Running tests...
2023-01-11T22:11:09.9284564Z ----------------------------------------------------------------------
2023-01-11T22:11:09.9284972Z   test_backward (__main__.TestCppExtensionAOT) ... ok (0.013s)
2023-01-11T22:11:09.9285564Z   test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2023-01-11T22:11:09.9286072Z   test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s)
2023-01-11T22:11:09.9286533Z   test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2023-01-11T22:11:09.9287050Z   test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2023-01-11T22:11:09.9287607Z   test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s)
2023-01-11T22:11:09.9288117Z   test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s)
2023-01-11T22:11:09.9288555Z   test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s)
2023-01-11T22:11:09.9289124Z   test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s)
2023-01-11T22:11:09.9289389Z   test_add (__main__.TestORTTensor) ... ok (0.001s)
2023-01-11T22:11:09.9289660Z   test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s)
2023-01-11T22:11:09.9289938Z   test_unregistered (__main__.TestORTTensor) ... ok (0.005s)
2023-01-11T22:11:09.9290180Z   test_zeros (__main__.TestORTTensor) ... ok (0.001s)
2023-01-11T22:11:09.9290523Z   test_pybind_return_types (__main__.TestPybindTypeCasters) ... ok (0.001s)
2023-01-11T22:11:09.9290805Z   test_rng (__main__.TestRNGExtension) ... ok (0.003s)
2023-01-11T22:11:09.9291090Z   test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s)
2023-01-11T22:11:09.9291251Z 
2023-01-11T22:11:09.9291504Z ----------------------------------------------------------------------
2023-01-11T22:11:09.9291784Z Ran 16 tests in 0.033s
2023-01-11T22:11:09.9291898Z 
2023-01-11T22:11:09.9291972Z OK (skipped=5)
2023-01-11T22:11:09.9292081Z 
2023-01-11T22:11:09.9292189Z Generating XML reports...
2023-01-11T22:11:09.9292692Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20230111221109.xml
2023-01-11T22:11:09.9293251Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20230111221109.xml
2023-01-11T22:11:09.9293817Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestPybindTypeCasters-20230111221109.xml
2023-01-11T22:11:09.9294370Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20230111221109.xml
2023-01-11T22:11:09.9294920Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20230111221109.xml
2023-01-11T22:11:09.9295159Z 
2023-01-11T22:11:09.9299019Z ##[endgroup]
2023-01-11T22:11:09.9299928Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_m08nyzfs)
2023-01-11T22:11:09.9300239Z 
2023-01-11T22:11:09.9300430Z Running test_cuda_primary_ctx ... [2023-01-11 22:11:09.928701]
2023-01-11T22:11:09.9300941Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_primary_ctx.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:11:09.929115]
2023-01-11T22:11:11.3177386Z 
2023-01-11T22:11:11.3177952Z Expand the folded group to see the log file of test_cuda_primary_ctx
2023-01-11T22:11:11.3179193Z ##[group]PRINTING LOG FILE of test_cuda_primary_ctx (/var/lib/jenkins/workspace/test/test-reports/test_cuda_primary_ctx_7tfhy_w9)
2023-01-11T22:11:11.3179787Z CUDA not available, skipping tests
2023-01-11T22:11:11.3179972Z 
2023-01-11T22:11:11.3180187Z ##[endgroup]
2023-01-11T22:11:11.3180686Z FINISHED PRINTING LOG FILE of test_cuda_primary_ctx (/var/lib/jenkins/workspace/test/test-reports/test_cuda_primary_ctx_7tfhy_w9)
2023-01-11T22:11:11.3180896Z 
2023-01-11T22:11:11.3182419Z Running test_cuda_trace ... [2023-01-11 22:11:11.318057]
2023-01-11T22:11:11.3197031Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_trace.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2023-01-11 22:11:11.319500]
2023-01-11T22:11:12.7267656Z 
2023-01-11T22:11:12.7268141Z Expand the folded group to see the log file of test_cuda_trace
2023-01-11T22:11:12.7268864Z ##[group]PRINTING LOG FILE of test_cuda_trace (/var/lib/jenkins/workspace/test/test-reports/test_cuda_trace_6dxqa7v8)
2023-01-11T22:11:12.7269183Z CUDA not available, skipping tests
2023-01-11T22:11:12.7269372Z 
2023-01-11T22:11:12.7269569Z ##[endgroup]
2023-01-11T22:11:12.7270100Z FINISHED PRINTING LOG FILE of test_cuda_trace (/var/lib/jenkins/workspace/test/test-reports/test_cuda_trace_6dxqa7v8)
2023-01-11T22:11:12.7270316Z 
2023-01-11T22:11:12.7272361Z Running doctests ... [2023-01-11 22:11:12.727072]
2023-01-11T22:11:12.7638909Z Start doctest_module('/opt/conda/lib/python3.7/site-packages/torch')
2023-01-11T22:11:12.7639389Z Listing tests
2023-01-11T22:11:18.9840828Z gathering tests
2023-01-11T22:11:18.9857029Z running 663 test(s)
2023-01-11T22:11:18.9908857Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/__init__.py::is_tensor:0, line 429 <- wrt source file
2023-01-11T22:11:18.9915939Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/__init__.py::is_tensor:0
2023-01-11T22:11:18.9916782Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/__init__.py::set_default_tensor_type:0, line 458 <- wrt source file
2023-01-11T22:11:18.9919729Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/__init__.py::set_default_tensor_type:0
2023-01-11T22:11:18.9920298Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/__init__.py::set_default_dtype:0, line 496 <- wrt source file
2023-01-11T22:11:18.9922754Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/__init__.py::set_default_dtype:0
2023-01-11T22:11:18.9923307Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 629 <- wrt source file
2023-01-11T22:11:18.9926110Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2023-01-11T22:11:18.9926770Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/__init__.py::compile:0, line 1221 <- wrt source file
2023-01-11T22:11:18.9927310Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/__init__.py::compile:0
2023-01-11T22:11:18.9927859Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_C.cpython-37m-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file
2023-01-11T22:11:18.9929261Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_C.cpython-37m-x86_64-linux-gnu.so::Generator:0
2023-01-11T22:11:18.9929950Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_C.cpython-37m-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file
2023-01-11T22:11:18.9930806Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_C.cpython-37m-x86_64-linux-gnu.so::_LinAlgError:0
2023-01-11T22:11:18.9931352Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_namedtensor_internals.py::update_names:0, line 125 <- wrt source file
2023-01-11T22:11:18.9933245Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_namedtensor_internals.py::update_names:0
2023-01-11T22:11:18.9933777Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 508 <- wrt source file
2023-01-11T22:11:19.0129601Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.register_hook:0
2023-01-11T22:11:19.0130157Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1096 <- wrt source file
2023-01-11T22:11:19.0252438Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.refine_names:0
2023-01-11T22:11:19.0255705Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1141 <- wrt source file
2023-01-11T22:11:19.0262238Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.align_to:0
2023-01-11T22:11:19.0272164Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.rename:0, line 1214 <- wrt source file
2023-01-11T22:11:19.0272676Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.rename:0
2023-01-11T22:11:19.0273190Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1244 <- wrt source file
2023-01-11T22:11:19.0281409Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2023-01-11T22:11:19.0282185Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py::set_printoptions:0, line 49 <- wrt source file
2023-01-11T22:11:19.0309974Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py::set_printoptions:0
2023-01-11T22:11:19.0310570Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::broadcast_tensors:0, line 61 <- wrt source file
2023-01-11T22:11:19.0318578Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::broadcast_tensors:0
2023-01-11T22:11:19.0319182Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::broadcast_shapes:0, line 89 <- wrt source file
2023-01-11T22:11:19.0322700Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::broadcast_shapes:0
2023-01-11T22:11:19.0323283Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::split:0, line 161 <- wrt source file
2023-01-11T22:11:19.0337304Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::split:0
2023-01-11T22:11:19.0337877Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::einsum:0, line 269 <- wrt source file
2023-01-11T22:11:19.0359553Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::einsum:0
2023-01-11T22:11:19.0360133Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2023-01-11T22:11:19.0397645Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::meshgrid:0
2023-01-11T22:11:19.0398144Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::_unique_impl:0, line 764 <- wrt source file
2023-01-11T22:11:19.0413617Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::_unique_impl:0
2023-01-11T22:11:19.0414165Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 842 <- wrt source file
2023-01-11T22:11:19.0427412Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::_unique_consecutive_impl:0
2023-01-11T22:11:19.0427926Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::tensordot:0, line 1040 <- wrt source file
2023-01-11T22:11:19.0452252Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::tensordot:0
2023-01-11T22:11:19.0452781Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::cartesian_prod:0, line 1118 <- wrt source file
2023-01-11T22:11:19.0460869Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::cartesian_prod:0
2023-01-11T22:11:19.0461409Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::block_diag:0, line 1152 <- wrt source file
2023-01-11T22:11:19.0472681Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::block_diag:0
2023-01-11T22:11:19.0473182Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::cdist:0, line 1203 <- wrt source file
2023-01-11T22:11:19.0489082Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::cdist:0
2023-01-11T22:11:19.0489578Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::atleast_1d:0, line 1243 <- wrt source file
2023-01-11T22:11:19.0508097Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::atleast_1d:0
2023-01-11T22:11:19.0508645Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::atleast_2d:0, line 1279 <- wrt source file
2023-01-11T22:11:19.0527589Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::atleast_2d:0
2023-01-11T22:11:19.0528359Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::atleast_3d:0, line 1317 <- wrt source file
2023-01-11T22:11:19.0552079Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::atleast_3d:0
2023-01-11T22:11:19.0552710Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::norm:0, line 1455 <- wrt source file
2023-01-11T22:11:19.0591089Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/functional.py::norm:0
2023-01-11T22:11:19.0591867Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::chain_matmul:0, line 1606 <- wrt source file
2023-01-11T22:11:19.0592733Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/functional.py::chain_matmul:0
2023-01-11T22:11:19.0593404Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/functional.py::_lu_impl:0, line 1706 <- wrt source file
2023-01-11T22:11:19.0595507Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/functional.py::_lu_impl:0
2023-01-11T22:11:19.0596201Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/hub.py::list:0, line 391 <- wrt source file
2023-01-11T22:11:19.0597236Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/hub.py::list:0
2023-01-11T22:11:19.0598106Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/hub.py::help:0, line 444 <- wrt source file
2023-01-11T22:11:19.0598948Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/hub.py::help:0
2023-01-11T22:11:19.0599807Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/hub.py::load:0, line 524 <- wrt source file
2023-01-11T22:11:19.0600347Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/hub.py::load:0
2023-01-11T22:11:19.0601132Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/hub.py::_load_local:0, line 563 <- wrt source file
2023-01-11T22:11:19.0601975Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/hub.py::_load_local:0
2023-01-11T22:11:19.0602898Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/hub.py::download_url_to_file:0, line 592 <- wrt source file
2023-01-11T22:11:19.0603812Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/hub.py::download_url_to_file:0
2023-01-11T22:11:19.0604331Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/hub.py::load_state_dict_from_url:0, line 701 <- wrt source file
2023-01-11T22:11:19.0604826Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/hub.py::load_state_dict_from_url:0
2023-01-11T22:11:19.0605325Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/library.py::Library.define:0, line 61 <- wrt source file
2023-01-11T22:11:19.0605815Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/library.py::Library.define:0
2023-01-11T22:11:19.0606322Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/library.py::Library.impl:0, line 81 <- wrt source file
2023-01-11T22:11:19.0606812Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/library.py::Library.impl:0
2023-01-11T22:11:19.0607333Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/overrides.py::get_ignored_functions:0, line 67 <- wrt source file
2023-01-11T22:11:19.0609200Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/overrides.py::get_ignored_functions:0
2023-01-11T22:11:19.0609958Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/overrides.py::get_testing_overrides:0, line 336 <- wrt source file
2023-01-11T22:11:19.0649946Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/overrides.py::get_testing_overrides:0
2023-01-11T22:11:19.0650692Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/overrides.py::wrap_torch_function:0, line 1391 <- wrt source file
2023-01-11T22:11:19.0654294Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/overrides.py::wrap_torch_function:0
2023-01-11T22:11:19.0654976Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/overrides.py::handle_torch_function:0, line 1508 <- wrt source file
2023-01-11T22:11:19.0658237Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/overrides.py::handle_torch_function:0
2023-01-11T22:11:19.0658989Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1732 <- wrt source file
2023-01-11T22:11:19.0702933Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2023-01-11T22:11:19.0703579Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/overrides.py::is_tensor_like:0, line 1750 <- wrt source file
2023-01-11T22:11:19.0711639Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/overrides.py::is_tensor_like:0
2023-01-11T22:11:19.0712408Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/quasirandom.py::SobolEngine:0, line 37 <- wrt source file
2023-01-11T22:11:19.0713041Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/quasirandom.py::SobolEngine:0
2023-01-11T22:11:19.0713606Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/serialization.py::save:0, line 429 <- wrt source file
2023-01-11T22:11:19.0714166Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/serialization.py::save:0
2023-01-11T22:11:19.0714668Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/serialization.py::load:0, line 754 <- wrt source file
2023-01-11T22:11:19.0719459Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/serialization.py::load:0
2023-01-11T22:11:19.0720035Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/torch_version.py::TorchVersion:0, line 49 <- wrt source file
2023-01-11T22:11:19.0720547Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/torch_version.py::TorchVersion:0
2023-01-11T22:11:19.0721115Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1495 <- wrt source file
2023-01-11T22:11:19.0727559Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2023-01-11T22:11:19.0728280Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.then:0, line 147 <- wrt source file
2023-01-11T22:11:19.0729021Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.then:0
2023-01-11T22:11:19.0729584Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 195 <- wrt source file
2023-01-11T22:11:19.0730831Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2023-01-11T22:11:19.0731421Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.set_result:0, line 228 <- wrt source file
2023-01-11T22:11:19.0732931Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.set_result:0
2023-01-11T22:11:19.0733553Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 257 <- wrt source file
2023-01-11T22:11:19.0734374Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::Future.set_exception:0
2023-01-11T22:11:19.0734898Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::collect_all:0, line 288 <- wrt source file
2023-01-11T22:11:19.0737907Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/futures/__init__.py::collect_all:0
2023-01-11T22:11:19.0738594Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py::annotate:0, line 103 <- wrt source file
2023-01-11T22:11:19.0739303Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py::annotate:0
2023-01-11T22:11:19.0740079Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py::strict_fusion:0, line 202 <- wrt source file
2023-01-11T22:11:19.0740732Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py::strict_fusion:0
2023-01-11T22:11:19.0741278Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 21 <- wrt source file
2023-01-11T22:11:19.0758075Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2023-01-11T22:11:19.0758631Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 39 <- wrt source file
2023-01-11T22:11:19.0774104Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2023-01-11T22:11:19.0774625Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/sparse/__init__.py::sum:0, line 175 <- wrt source file
2023-01-11T22:11:19.0787180Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/sparse/__init__.py::sum:0
2023-01-11T22:11:19.0787764Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 2139 <- wrt source file
2023-01-11T22:11:19.2125289Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2023-01-11T22:11:19.2126046Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 162 <- wrt source file
2023-01-11T22:11:19.2126625Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2023-01-11T22:11:19.2127187Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 195 <- wrt source file
2023-01-11T22:11:19.2211407Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2023-01-11T22:11:19.2211953Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 382 <- wrt source file
2023-01-11T22:11:19.2364792Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2023-01-11T22:11:19.2365374Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 882 <- wrt source file
2023-01-11T22:11:19.2873127Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2023-01-11T22:11:19.2873752Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1024 <- wrt source file
2023-01-11T22:11:19.3010092Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2023-01-11T22:11:19.3011168Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1173 <- wrt source file
2023-01-11T22:11:19.3050468Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2023-01-11T22:11:19.3051117Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::grad:0, line 1290 <- wrt source file
2023-01-11T22:11:19.3052296Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::grad:0
2023-01-11T22:11:19.3052877Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1441 <- wrt source file
2023-01-11T22:11:19.3059026Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2023-01-11T22:11:19.3059836Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 72 <- wrt source file
2023-01-11T22:11:19.3060463Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2023-01-11T22:11:19.3060982Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_functorch/vmap.py::vmap:0, line 306 <- wrt source file
2023-01-11T22:11:19.3107315Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/_functorch/vmap.py::vmap:0
2023-01-11T22:11:19.3108230Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_prims/context.py::NvfuserPrimsMode:0, line 90 <- wrt source file
2023-01-11T22:11:19.3109207Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_prims/context.py::NvfuserPrimsMode:0
2023-01-11T22:11:19.3109848Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 141 <- wrt source file
2023-01-11T22:11:19.3110483Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/_prims/context.py::TorchRefsMode:0
2023-01-11T22:11:19.3111482Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 21 <- wrt source file
2023-01-11T22:11:19.3112304Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2023-01-11T22:11:19.3113124Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 21 <- wrt source file
2023-01-11T22:11:19.3114047Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2023-01-11T22:11:19.3114924Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 22 <- wrt source file
2023-01-11T22:11:19.3115671Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2023-01-11T22:11:19.3116385Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 59 <- wrt source file
2023-01-11T22:11:19.3116990Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2023-01-11T22:11:19.3117598Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 126 <- wrt source file
2023-01-11T22:11:19.3118161Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2023-01-11T22:11:19.3118720Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 24 <- wrt source file
2023-01-11T22:11:19.3139649Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2023-01-11T22:11:19.3140931Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 274 <- wrt source file
2023-01-11T22:11:19.3174451Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2023-01-11T22:11:19.3176695Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 166 <- wrt source file
2023-01-11T22:11:19.3177714Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2023-01-11T22:11:19.3178462Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 226 <- wrt source file
2023-01-11T22:11:19.3179347Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2023-01-11T22:11:19.3179961Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 287 <- wrt source file
2023-01-11T22:11:19.3180485Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2023-01-11T22:11:19.3181033Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 74 <- wrt source file
2023-01-11T22:11:19.3186540Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2023-01-11T22:11:19.3187092Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 114 <- wrt source file
2023-01-11T22:11:19.3193028Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2023-01-11T22:11:19.3193863Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 34 <- wrt source file
2023-01-11T22:11:19.3194619Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2023-01-11T22:11:19.3195264Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 105 <- wrt source file
2023-01-11T22:11:19.3196185Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2023-01-11T22:11:19.3196797Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 170 <- wrt source file
2023-01-11T22:11:19.3197513Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2023-01-11T22:11:19.3198259Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 236 <- wrt source file
2023-01-11T22:11:19.3199145Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2023-01-11T22:11:19.3199893Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 297 <- wrt source file
2023-01-11T22:11:19.3200883Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2023-01-11T22:11:19.3201643Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 358 <- wrt source file
2023-01-11T22:11:19.3203002Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2023-01-11T22:11:19.3203957Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 28 <- wrt source file
2023-01-11T22:11:19.3204987Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2023-01-11T22:11:19.3206034Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 391 <- wrt source file
2023-01-11T22:11:19.3207198Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2023-01-11T22:11:19.3208227Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 618 <- wrt source file
2023-01-11T22:11:19.3208849Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2023-01-11T22:11:19.3209469Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 940 <- wrt source file
2023-01-11T22:11:19.3210004Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2023-01-11T22:11:19.3210554Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 993 <- wrt source file
2023-01-11T22:11:19.3211101Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2023-01-11T22:11:19.3211663Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1036 <- wrt source file
2023-01-11T22:11:19.3212338Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2023-01-11T22:11:19.3213280Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 31 <- wrt source file
2023-01-11T22:11:19.3214249Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2023-01-11T22:11:19.3214972Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 295 <- wrt source file
2023-01-11T22:11:19.3215545Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2023-01-11T22:11:19.3216073Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 403 <- wrt source file
2023-01-11T22:11:19.3216586Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2023-01-11T22:11:19.3217166Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 502 <- wrt source file
2023-01-11T22:11:19.3217769Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2023-01-11T22:11:19.3218323Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 685 <- wrt source file
2023-01-11T22:11:19.3219018Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2023-01-11T22:11:19.3219594Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 775 <- wrt source file
2023-01-11T22:11:19.3220145Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2023-01-11T22:11:19.3220869Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 869 <- wrt source file
2023-01-11T22:11:19.3221413Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2023-01-11T22:11:19.3221982Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 84 <- wrt source file
2023-01-11T22:11:19.3244632Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2023-01-11T22:11:19.3245416Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 209 <- wrt source file
2023-01-11T22:11:19.3269533Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2023-01-11T22:11:19.3270124Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 21 <- wrt source file
2023-01-11T22:11:19.3276060Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2023-01-11T22:11:19.3276667Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 141 <- wrt source file
2023-01-11T22:11:19.3280261Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2023-01-11T22:11:19.3280814Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 117 <- wrt source file
2023-01-11T22:11:19.3282018Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2023-01-11T22:11:19.3282717Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 20 <- wrt source file
2023-01-11T22:11:19.3283354Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2023-01-11T22:11:19.3284234Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0, line 59 <- wrt source file
2023-01-11T22:11:19.3284941Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0
2023-01-11T22:11:19.3285667Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 92 <- wrt source file
2023-01-11T22:11:19.3428634Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0
2023-01-11T22:11:19.3429441Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 54 <- wrt source file
2023-01-11T22:11:19.3430112Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2023-01-11T22:11:19.3430721Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 19 <- wrt source file
2023-01-11T22:11:19.3433340Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2023-01-11T22:11:19.3434351Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 45 <- wrt source file
2023-01-11T22:11:19.3435115Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2023-01-11T22:11:19.3435734Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 237 <- wrt source file
2023-01-11T22:11:19.3440575Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2023-01-11T22:11:19.3441481Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 143 <- wrt source file
2023-01-11T22:11:19.3442778Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2023-01-11T22:11:19.3443703Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 27 <- wrt source file
2023-01-11T22:11:19.3451855Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2023-01-11T22:11:19.3452547Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 64 <- wrt source file
2023-01-11T22:11:19.3459576Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2023-01-11T22:11:19.3460218Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 111 <- wrt source file
2023-01-11T22:11:19.3465882Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2023-01-11T22:11:19.3466534Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 139 <- wrt source file
2023-01-11T22:11:19.3472482Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2023-01-11T22:11:19.3473148Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 85 <- wrt source file
2023-01-11T22:11:19.3473994Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py::_with_args:0
2023-01-11T22:11:19.3474750Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 106 <- wrt source file
2023-01-11T22:11:19.3475686Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2023-01-11T22:11:19.3476341Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 242 <- wrt source file
2023-01-11T22:11:19.3476952Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2023-01-11T22:11:19.3480081Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 301 <- wrt source file
2023-01-11T22:11:19.3480615Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2023-01-11T22:11:19.3482832Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 439 <- wrt source file
2023-01-11T22:11:19.3483712Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2023-01-11T22:11:19.3484655Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 604 <- wrt source file
2023-01-11T22:11:19.3485304Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2023-01-11T22:11:19.3486123Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 663 <- wrt source file
2023-01-11T22:11:19.3486965Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2023-01-11T22:11:19.3487764Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 715 <- wrt source file
2023-01-11T22:11:19.3488704Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2023-01-11T22:11:19.3489427Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 408 <- wrt source file
2023-01-11T22:11:19.3490219Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2023-01-11T22:11:19.3490986Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 429 <- wrt source file
2023-01-11T22:11:19.3491684Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
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2023-01-11T22:11:19.3498472Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 80 <- wrt source file
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2023-01-11T22:11:19.3525575Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2023-01-11T22:11:19.3526301Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 215 <- wrt source file
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2023-01-11T22:11:19.3583893Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2023-01-11T22:11:19.3584581Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 406 <- wrt source file
2023-01-11T22:11:19.3601472Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2023-01-11T22:11:19.3602004Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/autograd/profiler.py::profile:0, line 123 <- wrt source file
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2023-01-11T22:11:19.3606278Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/autograd/profiler.py::emit_itt:0, line 582 <- wrt source file
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2023-01-11T22:11:19.3617383Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 1377 <- wrt source file
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2023-01-11T22:11:19.3798424Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/elastic/multiprocessing/api.py::to_map:0, line 150 <- wrt source file
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2023-01-11T22:11:19.3834553Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 646 <- wrt source file
2023-01-11T22:11:19.3835597Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2023-01-11T22:11:19.3836760Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 27 <- wrt source file
2023-01-11T22:11:19.3837911Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2023-01-11T22:11:19.3839049Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 38 <- wrt source file
2023-01-11T22:11:19.3840133Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2023-01-11T22:11:19.3841256Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 160 <- wrt source file
2023-01-11T22:11:19.3842313Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0
2023-01-11T22:11:19.3843582Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 18 <- wrt source file
2023-01-11T22:11:19.3844687Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0
2023-01-11T22:11:19.3845753Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 35 <- wrt source file
2023-01-11T22:11:19.3846716Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2023-01-11T22:11:19.3847911Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 325 <- wrt source file
2023-01-11T22:11:19.3849116Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2023-01-11T22:11:19.3850249Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/pipeline/sync/pipe.py::WithDevice:0, line 152 <- wrt source file
2023-01-11T22:11:19.3851265Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/pipeline/sync/pipe.py::WithDevice:0
2023-01-11T22:11:19.3852447Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/pipeline/sync/pipe.py::Pipe:0, line 274 <- wrt source file
2023-01-11T22:11:19.3853440Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/pipeline/sync/pipe.py::Pipe:0
2023-01-11T22:11:19.3854455Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 160 <- wrt source file
2023-01-11T22:11:19.3855488Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2023-01-11T22:11:19.3856477Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 333 <- wrt source file
2023-01-11T22:11:19.3857426Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::shutdown:0
2023-01-11T22:11:19.3858412Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::remote:0, line 582 <- wrt source file
2023-01-11T22:11:19.3859338Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::remote:0
2023-01-11T22:11:19.3860314Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 766 <- wrt source file
2023-01-11T22:11:19.3861263Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2023-01-11T22:11:19.3862259Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 858 <- wrt source file
2023-01-11T22:11:19.3863206Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2023-01-11T22:11:19.3864237Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 33 <- wrt source file
2023-01-11T22:11:19.3872656Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2023-01-11T22:11:19.3873864Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 117 <- wrt source file
2023-01-11T22:11:19.3875149Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2023-01-11T22:11:19.3876396Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 58 <- wrt source file
2023-01-11T22:11:19.3878139Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0
2023-01-11T22:11:19.3879286Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/tensor/parallel/_utils.py::_prepare_input_validate:0, line 33 <- wrt source file
2023-01-11T22:11:19.3880356Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/tensor/parallel/_utils.py::_prepare_input_validate:0
2023-01-11T22:11:19.3881469Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/tensor/parallel/_utils.py::_prepare_output_validate:0, line 78 <- wrt source file
2023-01-11T22:11:19.3882499Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/tensor/parallel/_utils.py::_prepare_output_validate:0
2023-01-11T22:11:19.3883647Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 63 <- wrt source file
2023-01-11T22:11:19.3884539Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2023-01-11T22:11:19.3885551Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 21 <- wrt source file
2023-01-11T22:11:19.3889587Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2023-01-11T22:11:19.3890529Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/beta.py::Beta:0, line 16 <- wrt source file
2023-01-11T22:11:19.3897371Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/beta.py::Beta:0
2023-01-11T22:11:19.3898464Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/binomial.py::Binomial:0, line 20 <- wrt source file
2023-01-11T22:11:19.3907180Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/binomial.py::Binomial:0
2023-01-11T22:11:19.3908191Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/categorical.py::Categorical:0, line 37 <- wrt source file
2023-01-11T22:11:19.3915353Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/categorical.py::Categorical:0
2023-01-11T22:11:19.3916504Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 19 <- wrt source file
2023-01-11T22:11:19.3922220Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/cauchy.py::Cauchy:0
2023-01-11T22:11:19.3923139Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/chi2.py::Chi2:0, line 12 <- wrt source file
2023-01-11T22:11:19.3928991Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/chi2.py::Chi2:0
2023-01-11T22:11:19.3930023Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 152 <- wrt source file
2023-01-11T22:11:19.3931070Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2023-01-11T22:11:19.3932110Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 24 <- wrt source file
2023-01-11T22:11:19.3939773Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2023-01-11T22:11:19.3940935Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 35 <- wrt source file
2023-01-11T22:11:19.3946523Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2023-01-11T22:11:19.3947521Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/exponential.py::Exponential:0, line 15 <- wrt source file
2023-01-11T22:11:19.3952674Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/exponential.py::Exponential:0
2023-01-11T22:11:19.3953894Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 16 <- wrt source file
2023-01-11T22:11:19.3960970Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2023-01-11T22:11:19.3961950Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/gamma.py::Gamma:0, line 19 <- wrt source file
2023-01-11T22:11:19.3967181Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/gamma.py::Gamma:0
2023-01-11T22:11:19.3968156Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/geometric.py::Geometric:0, line 21 <- wrt source file
2023-01-11T22:11:19.3973947Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/geometric.py::Geometric:0
2023-01-11T22:11:19.3975070Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 17 <- wrt source file
2023-01-11T22:11:19.3983330Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/gumbel.py::Gumbel:0
2023-01-11T22:11:19.3984456Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 20 <- wrt source file
2023-01-11T22:11:19.3990373Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2023-01-11T22:11:19.3991513Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 20 <- wrt source file
2023-01-11T22:11:19.3997470Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2023-01-11T22:11:19.3998531Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/independent.py::Independent:0, line 18 <- wrt source file
2023-01-11T22:11:19.4011927Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/independent.py::Independent:0
2023-01-11T22:11:19.4012950Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 25 <- wrt source file
2023-01-11T22:11:19.4019483Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2023-01-11T22:11:19.4020457Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/laplace.py::Laplace:0, line 14 <- wrt source file
2023-01-11T22:11:19.4025983Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/laplace.py::Laplace:0
2023-01-11T22:11:19.4027156Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 38 <- wrt source file
2023-01-11T22:11:19.4037950Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2023-01-11T22:11:19.4039124Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 17 <- wrt source file
2023-01-11T22:11:19.4045974Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/log_normal.py::LogNormal:0
2023-01-11T22:11:19.4047194Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 22 <- wrt source file
2023-01-11T22:11:19.4055740Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2023-01-11T22:11:19.4057075Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 56 <- wrt source file
2023-01-11T22:11:19.4058494Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2023-01-11T22:11:19.4059893Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 19 <- wrt source file
2023-01-11T22:11:19.4064715Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2023-01-11T22:11:19.4065758Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 34 <- wrt source file
2023-01-11T22:11:19.4066757Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/multinomial.py::Multinomial:0
2023-01-11T22:11:19.4067805Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 94 <- wrt source file
2023-01-11T22:11:19.4068892Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2023-01-11T22:11:19.4069996Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/normal.py::Normal:0, line 18 <- wrt source file
2023-01-11T22:11:19.4074962Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/normal.py::Normal:0
2023-01-11T22:11:19.4075985Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 27 <- wrt source file
2023-01-11T22:11:19.4084246Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2023-01-11T22:11:19.4085395Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/pareto.py::Pareto:0, line 14 <- wrt source file
2023-01-11T22:11:19.4091881Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/pareto.py::Pareto:0
2023-01-11T22:11:19.4093028Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/poisson.py::Poisson:0, line 20 <- wrt source file
2023-01-11T22:11:19.4094132Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/poisson.py::Poisson:0
2023-01-11T22:11:19.4095306Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 102 <- wrt source file
2023-01-11T22:11:19.4102752Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2023-01-11T22:11:19.4104053Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 96 <- wrt source file
2023-01-11T22:11:19.4113123Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2023-01-11T22:11:19.4114425Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/studentT.py::StudentT:0, line 17 <- wrt source file
2023-01-11T22:11:19.4121298Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/studentT.py::StudentT:0
2023-01-11T22:11:19.4122344Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1002 <- wrt source file
2023-01-11T22:11:19.4123531Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/transforms.py::CatTransform:0
2023-01-11T22:11:19.4124565Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1105 <- wrt source file
2023-01-11T22:11:19.4125608Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/transforms.py::StackTransform:0
2023-01-11T22:11:19.4126700Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1178 <- wrt source file
2023-01-11T22:11:19.4127842Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2023-01-11T22:11:19.4128856Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py::Uniform:0, line 17 <- wrt source file
2023-01-11T22:11:19.4132520Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py::Uniform:0
2023-01-11T22:11:19.4133468Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/von_mises.py::VonMises:0, line 79 <- wrt source file
2023-01-11T22:11:19.4142228Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/von_mises.py::VonMises:0
2023-01-11T22:11:19.4143335Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/weibull.py::Weibull:0, line 16 <- wrt source file
2023-01-11T22:11:19.4150291Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/distributions/weibull.py::Weibull:0
2023-01-11T22:11:19.4151450Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py::Wishart:0, line 36 <- wrt source file
2023-01-11T22:11:19.4152543Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/distributions/wishart.py::Wishart:0
2023-01-11T22:11:19.4153676Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py::_snake_case:0, line 79 <- wrt source file
2023-01-11T22:11:19.4154980Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py::_snake_case:0
2023-01-11T22:11:19.4155931Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1363 <- wrt source file
2023-01-11T22:11:19.4156916Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2023-01-11T22:11:19.4157910Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1431 <- wrt source file
2023-01-11T22:11:19.4158877Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2023-01-11T22:11:19.4159831Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/interpreter.py::Interpreter:0, line 37 <- wrt source file
2023-01-11T22:11:19.4160787Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/interpreter.py::Interpreter:0
2023-01-11T22:11:19.4161745Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/interpreter.py::Transformer:0, line 380 <- wrt source file
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2023-01-11T22:11:19.4384326Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
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2023-01-11T22:11:19.4388541Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
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2023-01-11T22:11:19.4400870Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 176 <- wrt source file
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2023-01-11T22:11:19.4402376Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 288 <- wrt source file
2023-01-11T22:11:19.4403774Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2023-01-11T22:11:19.4404451Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 418 <- wrt source file
2023-01-11T22:11:19.4407515Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2023-01-11T22:11:19.4408161Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 15 <- wrt source file
2023-01-11T22:11:19.4411942Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2023-01-11T22:11:19.4412570Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 38 <- wrt source file
2023-01-11T22:11:19.4416221Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2023-01-11T22:11:19.4416847Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 66 <- wrt source file
2023-01-11T22:11:19.4420708Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2023-01-11T22:11:19.4421315Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 85 <- wrt source file
2023-01-11T22:11:19.4425675Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2023-01-11T22:11:19.4426299Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 115 <- wrt source file
2023-01-11T22:11:19.4430545Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2023-01-11T22:11:19.4431212Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2023-01-11T22:11:19.4432312Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2023-01-11T22:11:19.4432971Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 80 <- wrt source file
2023-01-11T22:11:19.4436185Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2023-01-11T22:11:19.4437681Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 76 <- wrt source file
2023-01-11T22:11:19.4438228Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2023-01-11T22:11:19.4440652Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/fx/passes/split_module.py::split_module:0, line 68 <- wrt source file
2023-01-11T22:11:19.4441515Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/fx/passes/split_module.py::split_module:0
2023-01-11T22:11:19.4442183Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 35 <- wrt source file
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2023-01-11T22:11:19.4444199Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/_serialization.py::save:0, line 53 <- wrt source file
2023-01-11T22:11:19.4444996Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/jit/_serialization.py::save:0
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2023-01-11T22:11:19.4447678Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/_serialization.py::save_jit_module_to_flatbuffer:0, line 235 <- wrt source file
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2023-01-11T22:11:19.4449271Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 23 <- wrt source file
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2023-01-11T22:11:19.4450708Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/mobile/__init__.py::_get_model_bytecode_version:0, line 89 <- wrt source file
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2023-01-11T22:11:19.4453514Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 199 <- wrt source file
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2023-01-11T22:11:19.4454788Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 22 <- wrt source file
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2023-01-11T22:11:19.4456179Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 452 <- wrt source file
2023-01-11T22:11:19.4525257Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2023-01-11T22:11:19.4525951Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 553 <- wrt source file
2023-01-11T22:11:19.5561395Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2023-01-11T22:11:19.5577221Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 1878 <- wrt source file
2023-01-11T22:11:19.5588474Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::gumbel_softmax:0
2023-01-11T22:11:19.5589327Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::embedding:0, line 2149 <- wrt source file
2023-01-11T22:11:19.5601058Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::embedding:0
2023-01-11T22:11:19.5601746Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::embedding_bag:0, line 2286 <- wrt source file
2023-01-11T22:11:19.5615449Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::embedding_bag:0
2023-01-11T22:11:19.5616176Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::ctc_loss:0, line 2615 <- wrt source file
2023-01-11T22:11:19.5635448Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::ctc_loss:0
2023-01-11T22:11:19.5636001Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::nll_loss:0, line 2681 <- wrt source file
2023-01-11T22:11:19.5642638Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::nll_loss:0
2023-01-11T22:11:19.5643231Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::cross_entropy:0, line 3000 <- wrt source file
2023-01-11T22:11:19.5653688Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::cross_entropy:0
2023-01-11T22:11:19.5654238Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3066 <- wrt source file
2023-01-11T22:11:19.5661121Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2023-01-11T22:11:19.5661666Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3138 <- wrt source file
2023-01-11T22:11:19.5668518Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2023-01-11T22:11:19.5669051Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv1d_input:0, line 23 <- wrt source file
2023-01-11T22:11:19.5679416Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv1d_input:0
2023-01-11T22:11:19.5679925Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv1d_weight:0, line 53 <- wrt source file
2023-01-11T22:11:19.5687021Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv1d_weight:0
2023-01-11T22:11:19.5687526Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv2d_input:0, line 86 <- wrt source file
2023-01-11T22:11:19.5697484Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv2d_input:0
2023-01-11T22:11:19.5698186Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv2d_weight:0, line 116 <- wrt source file
2023-01-11T22:11:19.5705089Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv2d_weight:0
2023-01-11T22:11:19.5705601Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv3d_input:0, line 149 <- wrt source file
2023-01-11T22:11:19.5745611Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv3d_input:0
2023-01-11T22:11:19.5746268Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv3d_weight:0, line 179 <- wrt source file
2023-01-11T22:11:19.5767705Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/grad.py::conv3d_weight:0
2023-01-11T22:11:19.5768275Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::calculate_gain:0, line 96 <- wrt source file
2023-01-11T22:11:19.5772581Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::calculate_gain:0
2023-01-11T22:11:19.5773150Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::uniform_:0, line 132 <- wrt source file
2023-01-11T22:11:19.5777144Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::uniform_:0
2023-01-11T22:11:19.5777630Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::normal_:0, line 150 <- wrt source file
2023-01-11T22:11:19.5781590Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::normal_:0
2023-01-11T22:11:19.5782081Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::trunc_normal_:0, line 173 <- wrt source file
2023-01-11T22:11:19.5787001Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::trunc_normal_:0
2023-01-11T22:11:19.5787495Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::constant_:0, line 187 <- wrt source file
2023-01-11T22:11:19.5792235Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::constant_:0
2023-01-11T22:11:19.5792716Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::ones_:0, line 202 <- wrt source file
2023-01-11T22:11:19.5796733Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::ones_:0
2023-01-11T22:11:19.5797216Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::zeros_:0, line 215 <- wrt source file
2023-01-11T22:11:19.5800987Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::zeros_:0
2023-01-11T22:11:19.5801470Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::eye_:0, line 230 <- wrt source file
2023-01-11T22:11:19.5805694Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::eye_:0
2023-01-11T22:11:19.5806183Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::dirac_:0, line 251 <- wrt source file
2023-01-11T22:11:19.5811797Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::dirac_:0
2023-01-11T22:11:19.5812294Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::xavier_uniform_:0, line 320 <- wrt source file
2023-01-11T22:11:19.5816640Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::xavier_uniform_:0
2023-01-11T22:11:19.5817156Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::xavier_normal_:0, line 347 <- wrt source file
2023-01-11T22:11:19.5821022Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::xavier_normal_:0
2023-01-11T22:11:19.5821526Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 392 <- wrt source file
2023-01-11T22:11:19.5825635Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::kaiming_uniform_:0
2023-01-11T22:11:19.5826249Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::kaiming_normal_:0, line 441 <- wrt source file
2023-01-11T22:11:19.5830403Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::kaiming_normal_:0
2023-01-11T22:11:19.5831117Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::orthogonal_:0, line 466 <- wrt source file
2023-01-11T22:11:19.5831715Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::orthogonal_:0
2023-01-11T22:11:19.5832239Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::sparse_:0, line 512 <- wrt source file
2023-01-11T22:11:19.5837730Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/init.py::sparse_:0
2023-01-11T22:11:19.5838318Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Threshold:0, line 40 <- wrt source file
2023-01-11T22:11:19.5843549Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Threshold:0
2023-01-11T22:11:19.5844092Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::ReLU:0, line 83 <- wrt source file
2023-01-11T22:11:19.5850938Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::ReLU:0
2023-01-11T22:11:19.5851521Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::RReLU:0, line 142 <- wrt source file
2023-01-11T22:11:19.5856071Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::RReLU:0
2023-01-11T22:11:19.5870904Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 202 <- wrt source file
2023-01-11T22:11:19.5871773Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2023-01-11T22:11:19.5872648Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 260 <- wrt source file
2023-01-11T22:11:19.5873156Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::ReLU6:0
2023-01-11T22:11:19.5873683Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 288 <- wrt source file
2023-01-11T22:11:19.5874266Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2023-01-11T22:11:19.5875010Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 320 <- wrt source file
2023-01-11T22:11:19.5875756Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2023-01-11T22:11:19.5876358Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Tanh:0, line 352 <- wrt source file
2023-01-11T22:11:19.5880219Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Tanh:0
2023-01-11T22:11:19.5880738Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::SiLU:0, line 383 <- wrt source file
2023-01-11T22:11:19.5886518Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::SiLU:0
2023-01-11T22:11:19.5887500Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Mish:0, line 419 <- wrt source file
2023-01-11T22:11:19.5892299Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Mish:0
2023-01-11T22:11:19.5893286Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 461 <- wrt source file
2023-01-11T22:11:19.5898366Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardswish:0
2023-01-11T22:11:19.5899344Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::ELU:0, line 502 <- wrt source file
2023-01-11T22:11:19.5904169Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::ELU:0
2023-01-11T22:11:19.5905294Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::CELU:0, line 543 <- wrt source file
2023-01-11T22:11:19.5909987Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::CELU:0
2023-01-11T22:11:19.5910973Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::SELU:0, line 595 <- wrt source file
2023-01-11T22:11:19.5915863Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::SELU:0
2023-01-11T22:11:19.5916844Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::GLU:0, line 631 <- wrt source file
2023-01-11T22:11:19.5921748Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::GLU:0
2023-01-11T22:11:19.5922730Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::GELU:0, line 672 <- wrt source file
2023-01-11T22:11:19.5929562Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::GELU:0
2023-01-11T22:11:19.5930708Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 714 <- wrt source file
2023-01-11T22:11:19.5936158Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2023-01-11T22:11:19.5937139Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 761 <- wrt source file
2023-01-11T22:11:19.5942094Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2023-01-11T22:11:19.5943096Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 796 <- wrt source file
2023-01-11T22:11:19.5948108Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2023-01-11T22:11:19.5949122Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softplus:0, line 827 <- wrt source file
2023-01-11T22:11:19.5953912Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softplus:0
2023-01-11T22:11:19.5954985Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 869 <- wrt source file
2023-01-11T22:11:19.5959774Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softshrink:0
2023-01-11T22:11:19.5960853Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 938 <- wrt source file
2023-01-11T22:11:19.5961843Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2023-01-11T22:11:19.5962862Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1274 <- wrt source file
2023-01-11T22:11:19.5967769Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::PReLU:0
2023-01-11T22:11:19.5968749Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1309 <- wrt source file
2023-01-11T22:11:19.5973468Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softsign:0
2023-01-11T22:11:19.5974627Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1332 <- wrt source file
2023-01-11T22:11:19.5979572Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2023-01-11T22:11:19.5980720Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1366 <- wrt source file
2023-01-11T22:11:19.5986248Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softmin:0
2023-01-11T22:11:19.5987222Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1421 <- wrt source file
2023-01-11T22:11:19.5992170Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softmax:0
2023-01-11T22:11:19.5993177Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1461 <- wrt source file
2023-01-11T22:11:19.5998602Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2023-01-11T22:11:19.5999764Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1493 <- wrt source file
2023-01-11T22:11:19.6005587Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2023-01-11T22:11:19.6006638Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 290 <- wrt source file
2023-01-11T22:11:19.6017934Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2023-01-11T22:11:19.6019320Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 399 <- wrt source file
2023-01-11T22:11:19.6256640Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2023-01-11T22:11:19.6257864Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 505 <- wrt source file
2023-01-11T22:11:19.8866254Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2023-01-11T22:11:19.8981627Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 627 <- wrt source file
2023-01-11T22:11:19.8985229Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2023-01-11T22:11:19.8986246Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 782 <- wrt source file
2023-01-11T22:11:19.8987236Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2023-01-11T22:11:19.8988224Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 17 <- wrt source file
2023-01-11T22:11:19.9007348Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2023-01-11T22:11:19.9008394Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::Sequential:0, line 63 <- wrt source file
2023-01-11T22:11:19.9009347Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::Sequential:0
2023-01-11T22:11:19.9010360Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ModuleList:0, line 261 <- wrt source file
2023-01-11T22:11:19.9011321Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ModuleList:0
2023-01-11T22:11:19.9012578Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 433 <- wrt source file
2023-01-11T22:11:19.9013541Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ModuleDict:0
2023-01-11T22:11:19.9014529Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ParameterList:0, line 567 <- wrt source file
2023-01-11T22:11:19.9015615Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ParameterList:0
2023-01-11T22:11:19.9016661Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 707 <- wrt source file
2023-01-11T22:11:19.9017566Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py::ParameterDict:0
2023-01-11T22:11:19.9018557Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 36 <- wrt source file
2023-01-11T22:11:19.9026325Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2023-01-11T22:11:19.9027562Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 72 <- wrt source file
2023-01-11T22:11:19.9037380Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2023-01-11T22:11:19.9038522Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 49 <- wrt source file
2023-01-11T22:11:19.9044930Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout:0
2023-01-11T22:11:19.9045495Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 91 <- wrt source file
2023-01-11T22:11:19.9052567Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2023-01-11T22:11:19.9053097Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 140 <- wrt source file
2023-01-11T22:11:19.9077841Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2023-01-11T22:11:19.9078412Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 182 <- wrt source file
2023-01-11T22:11:19.9157098Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2023-01-11T22:11:19.9157737Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 225 <- wrt source file
2023-01-11T22:11:19.9162795Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2023-01-11T22:11:19.9163543Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 272 <- wrt source file
2023-01-11T22:11:19.9243569Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2023-01-11T22:11:19.9244218Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 24 <- wrt source file
2023-01-11T22:11:19.9252194Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/flatten.py::Flatten:0
2023-01-11T22:11:19.9252785Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 76 <- wrt source file
2023-01-11T22:11:19.9272485Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2023-01-11T22:11:19.9273204Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/fold.py::Fold:0, line 111 <- wrt source file
2023-01-11T22:11:19.9279921Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/fold.py::Fold:0
2023-01-11T22:11:19.9280607Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/fold.py::Unfold:0, line 253 <- wrt source file
2023-01-11T22:11:19.9297362Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/fold.py::Unfold:0
2023-01-11T22:11:19.9298155Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 135 <- wrt source file
2023-01-11T22:11:19.9313178Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2023-01-11T22:11:19.9314593Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 251 <- wrt source file
2023-01-11T22:11:19.9526560Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2023-01-11T22:11:19.9527703Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 367 <- wrt source file
2023-01-11T22:11:20.2110251Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2023-01-11T22:11:20.2225411Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2023-01-11T22:11:20.2232072Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2023-01-11T22:11:20.2232989Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py::Identity:0, line 33 <- wrt source file
2023-01-11T22:11:20.2241643Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py::Identity:0
2023-01-11T22:11:20.2242206Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py::Linear:0, line 78 <- wrt source file
2023-01-11T22:11:20.2251849Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py::Linear:0
2023-01-11T22:11:20.2252413Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 164 <- wrt source file
2023-01-11T22:11:20.2287893Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/linear.py::Bilinear:0
2023-01-11T22:11:20.2288407Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 88 <- wrt source file
2023-01-11T22:11:20.2296355Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::L1Loss:0
2023-01-11T22:11:20.2296882Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 184 <- wrt source file
2023-01-11T22:11:20.2323350Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2023-01-11T22:11:20.2324186Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 271 <- wrt source file
2023-01-11T22:11:20.2332654Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2023-01-11T22:11:20.2333215Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 343 <- wrt source file
2023-01-11T22:11:20.2350535Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2023-01-11T22:11:20.2351083Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 451 <- wrt source file
2023-01-11T22:11:20.2362000Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2023-01-11T22:11:20.2362914Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 523 <- wrt source file
2023-01-11T22:11:20.2369614Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MSELoss:0
2023-01-11T22:11:20.2370276Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 605 <- wrt source file
2023-01-11T22:11:20.2377038Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::BCELoss:0
2023-01-11T22:11:20.2377738Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 668 <- wrt source file
2023-01-11T22:11:20.2390127Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2023-01-11T22:11:20.2390818Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 831 <- wrt source file
2023-01-11T22:11:20.2400115Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2023-01-11T22:11:20.2400790Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1149 <- wrt source file
2023-01-11T22:11:20.2410655Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2023-01-11T22:11:20.2411334Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1317 <- wrt source file
2023-01-11T22:11:20.2418647Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2023-01-11T22:11:20.2419310Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1388 <- wrt source file
2023-01-11T22:11:20.2427725Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2023-01-11T22:11:20.2428403Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1468 <- wrt source file
2023-01-11T22:11:20.2440798Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2023-01-11T22:11:20.2441407Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1559 <- wrt source file
2023-01-11T22:11:20.2467266Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2023-01-11T22:11:20.2467922Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1670 <- wrt source file
2023-01-11T22:11:20.2505570Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2023-01-11T22:11:20.2506208Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 491 <- wrt source file
2023-01-11T22:11:20.2506756Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2023-01-11T22:11:20.2507300Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.apply:0, line 847 <- wrt source file
2023-01-11T22:11:20.2522134Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.apply:0
2023-01-11T22:11:20.2522653Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.to:0, line 1072 <- wrt source file
2023-01-11T22:11:20.2532149Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.to:0
2023-01-11T22:11:20.2533047Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 1763 <- wrt source file
2023-01-11T22:11:20.2534016Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2023-01-11T22:11:20.2534809Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2050 <- wrt source file
2023-01-11T22:11:20.2535762Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.parameters:0
2023-01-11T22:11:20.2536721Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2082 <- wrt source file
2023-01-11T22:11:20.2537721Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2023-01-11T22:11:20.2538275Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2107 <- wrt source file
2023-01-11T22:11:20.2538795Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.buffers:0
2023-01-11T22:11:20.2539337Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2133 <- wrt source file
2023-01-11T22:11:20.2539867Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2023-01-11T22:11:20.2540409Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2163 <- wrt source file
2023-01-11T22:11:20.2540945Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_children:0
2023-01-11T22:11:20.2541482Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2187 <- wrt source file
2023-01-11T22:11:20.2544486Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.modules:0
2023-01-11T22:11:20.2545038Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2221 <- wrt source file
2023-01-11T22:11:20.2551100Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2023-01-11T22:11:20.2551728Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 34 <- wrt source file
2023-01-11T22:11:20.2599334Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2023-01-11T22:11:20.2600003Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 140 <- wrt source file
2023-01-11T22:11:20.2612211Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2023-01-11T22:11:20.2613454Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 230 <- wrt source file
2023-01-11T22:11:20.2622534Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2023-01-11T22:11:20.2623574Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 48 <- wrt source file
2023-01-11T22:11:20.2632398Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2023-01-11T22:11:20.2633426Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 101 <- wrt source file
2023-01-11T22:11:20.2639550Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2023-01-11T22:11:20.2640724Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 157 <- wrt source file
2023-01-11T22:11:20.2666068Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2023-01-11T22:11:20.2667092Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 201 <- wrt source file
2023-01-11T22:11:20.2674135Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2023-01-11T22:11:20.2675192Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 244 <- wrt source file
2023-01-11T22:11:20.2680406Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2023-01-11T22:11:20.2680984Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 301 <- wrt source file
2023-01-11T22:11:20.2685034Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2023-01-11T22:11:20.2685601Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 358 <- wrt source file
2023-01-11T22:11:20.2691984Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2023-01-11T22:11:20.2692567Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 401 <- wrt source file
2023-01-11T22:11:20.2699022Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2023-01-11T22:11:20.2699585Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 458 <- wrt source file
2023-01-11T22:11:20.9101183Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2023-01-11T22:11:20.9317648Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 494 <- wrt source file
2023-01-11T22:11:20.9328075Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2023-01-11T22:11:20.9329048Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 36 <- wrt source file
2023-01-11T22:11:20.9337303Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2023-01-11T22:11:20.9338507Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 86 <- wrt source file
2023-01-11T22:11:20.9346267Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2023-01-11T22:11:20.9347436Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 76 <- wrt source file
2023-01-11T22:11:20.9355155Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2023-01-11T22:11:20.9356329Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 148 <- wrt source file
2023-01-11T22:11:20.9406983Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2023-01-11T22:11:20.9408003Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 226 <- wrt source file
2023-01-11T22:11:21.1593405Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2023-01-11T22:11:21.1636404Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 293 <- wrt source file
2023-01-11T22:11:21.1652949Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2023-01-11T22:11:21.1654010Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 366 <- wrt source file
2023-01-11T22:11:21.1679394Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2023-01-11T22:11:21.1679976Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 451 <- wrt source file
2023-01-11T22:11:21.2385356Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2023-01-11T22:11:21.2385931Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 524 <- wrt source file
2023-01-11T22:11:21.2396547Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2023-01-11T22:11:21.2397214Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 600 <- wrt source file
2023-01-11T22:11:21.2440173Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2023-01-11T22:11:21.2440770Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 686 <- wrt source file
2023-01-11T22:11:21.4200180Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2023-01-11T22:11:21.4242752Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 749 <- wrt source file
2023-01-11T22:11:21.4294358Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2023-01-11T22:11:21.4295061Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 819 <- wrt source file
2023-01-11T22:11:21.4978157Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2023-01-11T22:11:21.4978790Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 909 <- wrt source file
2023-01-11T22:11:21.4988482Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2023-01-11T22:11:21.4989194Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 960 <- wrt source file
2023-01-11T22:11:21.5053586Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2023-01-11T22:11:21.5054386Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1011 <- wrt source file
2023-01-11T22:11:21.5060407Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2023-01-11T22:11:21.5061067Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1045 <- wrt source file
2023-01-11T22:11:21.5072915Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2023-01-11T22:11:21.5073607Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1088 <- wrt source file
2023-01-11T22:11:21.5105129Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2023-01-11T22:11:21.5105863Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1135 <- wrt source file
2023-01-11T22:11:21.5111344Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2023-01-11T22:11:21.5111926Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1166 <- wrt source file
2023-01-11T22:11:21.5123228Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2023-01-11T22:11:21.5124042Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1205 <- wrt source file
2023-01-11T22:11:21.5150023Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2023-01-11T22:11:21.5150556Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::RNN:0, line 436 <- wrt source file
2023-01-11T22:11:21.5163773Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::RNN:0
2023-01-11T22:11:21.5164440Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 702 <- wrt source file
2023-01-11T22:11:21.5182534Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::LSTM:0
2023-01-11T22:11:21.5183938Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::GRU:0, line 933 <- wrt source file
2023-01-11T22:11:21.5202328Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::GRU:0
2023-01-11T22:11:21.5202888Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1106 <- wrt source file
2023-01-11T22:11:21.5214786Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2023-01-11T22:11:21.5216083Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1207 <- wrt source file
2023-01-11T22:11:21.5229582Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2023-01-11T22:11:21.5230888Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1300 <- wrt source file
2023-01-11T22:11:21.5246312Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2023-01-11T22:11:21.5247642Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 67 <- wrt source file
2023-01-11T22:11:21.5264060Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::Embedding:0
2023-01-11T22:11:21.5265116Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 200 <- wrt source file
2023-01-11T22:11:21.5271966Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2023-01-11T22:11:21.5273030Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 278 <- wrt source file
2023-01-11T22:11:21.5301048Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2023-01-11T22:11:21.5302169Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 429 <- wrt source file
2023-01-11T22:11:21.5310338Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2023-01-11T22:11:21.5311047Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 42 <- wrt source file
2023-01-11T22:11:22.5144683Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::Transformer:0
2023-01-11T22:11:22.5160181Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 134 <- wrt source file
2023-01-11T22:11:22.5161146Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2023-01-11T22:11:22.5161734Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 181 <- wrt source file
2023-01-11T22:11:22.6600840Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2023-01-11T22:11:22.6605066Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 325 <- wrt source file
2023-01-11T22:11:22.9724624Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2023-01-11T22:11:22.9732355Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 391 <- wrt source file
2023-01-11T22:11:23.0110051Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2023-01-11T22:11:23.0110678Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 608 <- wrt source file
2023-01-11T22:11:23.0817279Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2023-01-11T22:11:23.0818436Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 74 <- wrt source file
2023-01-11T22:11:23.0848276Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2023-01-11T22:11:23.0849276Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 196 <- wrt source file
2023-01-11T22:11:23.0862914Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2023-01-11T22:11:23.0863981Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 242 <- wrt source file
2023-01-11T22:11:23.0873518Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2023-01-11T22:11:23.0874666Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 116 <- wrt source file
2023-01-11T22:11:23.0875659Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2023-01-11T22:11:23.0876713Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 534 <- wrt source file
2023-01-11T22:11:23.0877766Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2023-01-11T22:11:23.0878892Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1051 <- wrt source file
2023-01-11T22:11:23.0880004Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2023-01-11T22:11:23.0881133Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1377 <- wrt source file
2023-01-11T22:11:23.0882199Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2023-01-11T22:11:23.0883779Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1550 <- wrt source file
2023-01-11T22:11:23.0884806Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2023-01-11T22:11:23.0885853Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 1560 <- wrt source file
2023-01-11T22:11:23.0887031Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2023-01-11T22:11:23.0888169Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 1594 <- wrt source file
2023-01-11T22:11:23.0889361Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2023-01-11T22:11:23.0890596Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 1652 <- wrt source file
2023-01-11T22:11:23.0891664Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2023-01-11T22:11:23.0892644Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 32 <- wrt source file
2023-01-11T22:11:23.0893606Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2023-01-11T22:11:23.0894505Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/init.py::skip_init:0, line 30 <- wrt source file
2023-01-11T22:11:23.0897935Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/init.py::skip_init:0
2023-01-11T22:11:23.0898972Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 54 <- wrt source file
2023-01-11T22:11:23.0900045Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2023-01-11T22:11:23.0901075Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 245 <- wrt source file
2023-01-11T22:11:23.0902092Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2023-01-11T22:11:23.0903091Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 462 <- wrt source file
2023-01-11T22:11:23.0904116Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2023-01-11T22:11:23.0905192Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0, line 463 <- wrt source file
2023-01-11T22:11:23.0913720Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0
2023-01-11T22:11:23.0914847Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::identity:0, line 846 <- wrt source file
2023-01-11T22:11:23.0915729Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::identity:0
2023-01-11T22:11:23.0916701Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 880 <- wrt source file
2023-01-11T22:11:23.0917678Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2023-01-11T22:11:23.0918872Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 921 <- wrt source file
2023-01-11T22:11:23.0919798Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2023-01-11T22:11:23.0920785Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::random_structured:0, line 959 <- wrt source file
2023-01-11T22:11:23.0921834Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::random_structured:0
2023-01-11T22:11:23.0922775Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1005 <- wrt source file
2023-01-11T22:11:23.0935918Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::ln_structured:0
2023-01-11T22:11:23.0936963Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1058 <- wrt source file
2023-01-11T22:11:23.0955627Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2023-01-11T22:11:23.0956663Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1160 <- wrt source file
2023-01-11T22:11:23.0967300Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2023-01-11T22:11:23.0968249Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::remove:0, line 1188 <- wrt source file
2023-01-11T22:11:23.0975437Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::remove:0
2023-01-11T22:11:23.0976376Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1215 <- wrt source file
2023-01-11T22:11:23.0986439Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/prune.py::is_pruned:0
2023-01-11T22:11:23.0987442Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 282 <- wrt source file
2023-01-11T22:11:23.1004563Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2023-01-11T22:11:23.1005571Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 359 <- wrt source file
2023-01-11T22:11:23.1012816Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2023-01-11T22:11:23.1013814Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 412 <- wrt source file
2023-01-11T22:11:23.1031182Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2023-01-11T22:11:23.1032351Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 467 <- wrt source file
2023-01-11T22:11:23.1041944Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2023-01-11T22:11:23.1042939Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 495 <- wrt source file
2023-01-11T22:11:23.1061772Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2023-01-11T22:11:23.1062794Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 267 <- wrt source file
2023-01-11T22:11:23.1071362Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2023-01-11T22:11:23.1072555Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 294 <- wrt source file
2023-01-11T22:11:23.1080403Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2023-01-11T22:11:23.1081617Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 123 <- wrt source file
2023-01-11T22:11:23.1085966Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/stateless.py::functional_call:0
2023-01-11T22:11:23.1087158Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 99 <- wrt source file
2023-01-11T22:11:23.1095445Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2023-01-11T22:11:23.1096488Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 121 <- wrt source file
2023-01-11T22:11:23.1103184Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2023-01-11T22:11:23.1104212Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 203 <- wrt source file
2023-01-11T22:11:23.1105302Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2023-01-11T22:11:23.1105986Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 108 <- wrt source file
2023-01-11T22:11:23.1182898Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2023-01-11T22:11:23.1183492Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/onnx/_type_utils.py::JitScalarType:0, line 66 <- wrt source file
2023-01-11T22:11:23.1185948Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/onnx/_type_utils.py::JitScalarType:0
2023-01-11T22:11:23.1186679Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/onnx/verification.py::find_mismatch:0, line 1746 <- wrt source file
2023-01-11T22:11:23.1187215Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/onnx/verification.py::find_mismatch:0
2023-01-11T22:11:23.1187808Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py::DiagnosticEngine:0, line 20 <- wrt source file
2023-01-11T22:11:23.1190006Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py::DiagnosticEngine:0
2023-01-11T22:11:23.1190832Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 200 <- wrt source file
2023-01-11T22:11:23.1191488Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2023-01-11T22:11:23.1192297Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 286 <- wrt source file
2023-01-11T22:11:23.1193237Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2023-01-11T22:11:23.1194176Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 369 <- wrt source file
2023-01-11T22:11:23.1195056Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2023-01-11T22:11:23.1195895Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 418 <- wrt source file
2023-01-11T22:11:23.1196590Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2023-01-11T22:11:23.1197479Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 467 <- wrt source file
2023-01-11T22:11:23.1198313Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2023-01-11T22:11:23.1199108Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 529 <- wrt source file
2023-01-11T22:11:23.1200158Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2023-01-11T22:11:23.1201096Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 621 <- wrt source file
2023-01-11T22:11:23.1201717Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2023-01-11T22:11:23.1202648Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 729 <- wrt source file
2023-01-11T22:11:23.1203179Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2023-01-11T22:11:23.1203951Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 849 <- wrt source file
2023-01-11T22:11:23.1204746Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2023-01-11T22:11:23.1205554Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 953 <- wrt source file
2023-01-11T22:11:23.1206398Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0
2023-01-11T22:11:23.1207116Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1168 <- wrt source file
2023-01-11T22:11:23.1207715Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2023-01-11T22:11:23.1208300Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1389 <- wrt source file
2023-01-11T22:11:23.1208910Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2023-01-11T22:11:23.1209533Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1405 <- wrt source file
2023-01-11T22:11:23.1210122Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2023-01-11T22:11:23.1210693Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1547 <- wrt source file
2023-01-11T22:11:23.1211208Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2023-01-11T22:11:23.1211710Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/sgd.py::SGD:0, line 58 <- wrt source file
2023-01-11T22:11:23.1212161Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/sgd.py::SGD:0
2023-01-11T22:11:23.1212672Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 38 <- wrt source file
2023-01-11T22:11:23.1213179Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2023-01-11T22:11:23.1213709Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 64 <- wrt source file
2023-01-11T22:11:23.1214207Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2023-01-11T22:11:23.1214728Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::update_bn:0, line 161 <- wrt source file
2023-01-11T22:11:23.1215343Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::update_bn:0
2023-01-11T22:11:23.1215856Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::SWALR:0, line 222 <- wrt source file
2023-01-11T22:11:23.1216325Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/optim/swa_utils.py::SWALR:0
2023-01-11T22:11:23.1216897Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/package/glob_group.py::GlobGroup:0, line 19 <- wrt source file
2023-01-11T22:11:23.1217413Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/package/glob_group.py::GlobGroup:0
2023-01-11T22:11:23.1217936Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/profiler/profiler.py::profile:0, line 363 <- wrt source file
2023-01-11T22:11:23.1218426Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/profiler/profiler.py::profile:0
2023-01-11T22:11:23.1218957Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py::assert_close:0, line 1395 <- wrt source file
2023-01-11T22:11:23.1270054Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py::assert_close:0
2023-01-11T22:11:23.1270623Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py::make_tensor:0, line 93 <- wrt source file
2023-01-11T22:11:23.1271939Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py::make_tensor:0
2023-01-11T22:11:23.1273313Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 305 <- wrt source file
2023-01-11T22:11:23.1274198Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2023-01-11T22:11:23.1274960Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 3447 <- wrt source file
2023-01-11T22:11:23.1275705Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2023-01-11T22:11:23.1276548Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 3461 <- wrt source file
2023-01-11T22:11:23.1277232Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2023-01-11T22:11:23.1277831Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 3491 <- wrt source file
2023-01-11T22:11:23.1278489Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2023-01-11T22:11:23.1279464Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 57 <- wrt source file
2023-01-11T22:11:23.1280318Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2023-01-11T22:11:23.1281165Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 24 <- wrt source file
2023-01-11T22:11:23.1281982Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2023-01-11T22:11:23.1282814Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 306 <- wrt source file
2023-01-11T22:11:23.1283917Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2023-01-11T22:11:23.1284784Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 912 <- wrt source file
2023-01-11T22:11:23.1285561Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2023-01-11T22:11:23.1286092Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 960 <- wrt source file
2023-01-11T22:11:23.1286705Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2023-01-11T22:11:23.1287246Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1037 <- wrt source file
2023-01-11T22:11:23.1287770Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2023-01-11T22:11:23.1288283Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::load:0, line 1273 <- wrt source file
2023-01-11T22:11:23.1288779Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::load:0
2023-01-11T22:11:23.1289305Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 1364 <- wrt source file
2023-01-11T22:11:23.1289829Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/cpp_extension.py::load_inline:0
2023-01-11T22:11:23.1290339Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 71 <- wrt source file
2023-01-11T22:11:23.1301227Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/utils/dlpack.py::from_dlpack:0
2023-01-11T22:11:23.1302269Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 77 <- wrt source file
2023-01-11T22:11:23.1302927Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2023-01-11T22:11:23.1303498Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 84 <- wrt source file
2023-01-11T22:11:23.1312153Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2023-01-11T22:11:23.1313147Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/dataset.py::random_split:0, line 320 <- wrt source file
2023-01-11T22:11:23.1314002Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/dataset.py::random_split:0
2023-01-11T22:11:23.1314635Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 51 <- wrt source file
2023-01-11T22:11:23.1315182Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2023-01-11T22:11:23.1315760Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 172 <- wrt source file
2023-01-11T22:11:23.1321729Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2023-01-11T22:11:23.1322333Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 220 <- wrt source file
2023-01-11T22:11:23.1328102Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2023-01-11T22:11:23.1328713Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 36 <- wrt source file
2023-01-11T22:11:23.1332159Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2023-01-11T22:11:23.1332864Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 102 <- wrt source file
2023-01-11T22:11:23.1337333Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py::collate:0
2023-01-11T22:11:23.1337881Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 231 <- wrt source file
2023-01-11T22:11:23.1344816Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2023-01-11T22:11:23.1345397Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 84 <- wrt source file
2023-01-11T22:11:23.1348870Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2023-01-11T22:11:23.1349504Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 232 <- wrt source file
2023-01-11T22:11:23.1351339Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2023-01-11T22:11:23.1351948Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 46 <- wrt source file
2023-01-11T22:11:23.1353954Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2023-01-11T22:11:23.1354635Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 187 <- wrt source file
2023-01-11T22:11:23.1357103Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2023-01-11T22:11:23.1357987Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 80 <- wrt source file
2023-01-11T22:11:23.1358625Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2023-01-11T22:11:23.1359249Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 33 <- wrt source file
2023-01-11T22:11:23.1384845Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2023-01-11T22:11:23.1385612Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 75 <- wrt source file
2023-01-11T22:11:23.1386750Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2023-01-11T22:11:23.1387795Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 250 <- wrt source file
2023-01-11T22:11:23.1388379Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2023-01-11T22:11:23.1388986Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 329 <- wrt source file
2023-01-11T22:11:23.1391830Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2023-01-11T22:11:23.1392720Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 507 <- wrt source file
2023-01-11T22:11:23.1393942Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2023-01-11T22:11:23.1395081Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 572 <- wrt source file
2023-01-11T22:11:23.1395925Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2023-01-11T22:11:23.1397056Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file
2023-01-11T22:11:23.1397895Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2023-01-11T22:11:23.1398975Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file
2023-01-11T22:11:23.1399611Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2023-01-11T22:11:23.1400648Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 102 <- wrt source file
2023-01-11T22:11:23.1401241Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2023-01-11T22:11:23.1401860Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 159 <- wrt source file
2023-01-11T22:11:23.1402449Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2023-01-11T22:11:23.1403066Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 226 <- wrt source file
2023-01-11T22:11:23.1407982Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2023-01-11T22:11:23.1408831Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 34 <- wrt source file
2023-01-11T22:11:23.1409923Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2023-01-11T22:11:23.1410748Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 20 <- wrt source file
2023-01-11T22:11:23.1411829Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2023-01-11T22:11:23.1412765Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 23 <- wrt source file
2023-01-11T22:11:23.1413393Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2023-01-11T22:11:23.1414206Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 30 <- wrt source file
2023-01-11T22:11:23.1415271Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2023-01-11T22:11:23.1415951Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 31 <- wrt source file
2023-01-11T22:11:23.1417052Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2023-01-11T22:11:23.1418101Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 24 <- wrt source file
2023-01-11T22:11:23.1419139Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2023-01-11T22:11:23.1420085Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 66 <- wrt source file
2023-01-11T22:11:23.1421179Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2023-01-11T22:11:23.1421790Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 23 <- wrt source file
2023-01-11T22:11:23.1422490Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2023-01-11T22:11:23.1423618Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 23 <- wrt source file
2023-01-11T22:11:23.1424429Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2023-01-11T22:11:23.1425023Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 33 <- wrt source file
2023-01-11T22:11:23.1425592Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2023-01-11T22:11:23.1426272Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 415 <- wrt source file
2023-01-11T22:11:23.1427300Z * SUCCESS: /opt/conda/lib/python3.7/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2023-01-11T22:11:23.1428343Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 511 <- wrt source file
2023-01-11T22:11:23.1429367Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2023-01-11T22:11:23.1430460Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 213 <- wrt source file
2023-01-11T22:11:23.1431521Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2023-01-11T22:11:23.1432554Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 320 <- wrt source file
2023-01-11T22:11:23.1433590Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2023-01-11T22:11:23.1434724Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 368 <- wrt source file
2023-01-11T22:11:23.1435620Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2023-01-11T22:11:23.1436721Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 404 <- wrt source file
2023-01-11T22:11:23.1437541Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2023-01-11T22:11:23.1438397Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 462 <- wrt source file
2023-01-11T22:11:23.1439268Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2023-01-11T22:11:23.1439971Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 519 <- wrt source file
2023-01-11T22:11:23.1440714Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2023-01-11T22:11:23.1441414Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 585 <- wrt source file
2023-01-11T22:11:23.1442343Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2023-01-11T22:11:23.1443219Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 638 <- wrt source file
2023-01-11T22:11:23.1444203Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2023-01-11T22:11:23.1445007Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 810 <- wrt source file
2023-01-11T22:11:23.1445798Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2023-01-11T22:11:23.1446667Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 896 <- wrt source file
2023-01-11T22:11:23.1447325Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2023-01-11T22:11:23.1447911Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 1001 <- wrt source file
2023-01-11T22:11:23.1448490Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2023-01-11T22:11:23.1449114Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1076 <- wrt source file
2023-01-11T22:11:23.1449806Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2023-01-11T22:11:23.1450585Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1095 <- wrt source file
2023-01-11T22:11:23.1451759Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2023-01-11T22:11:23.1452634Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1117 <- wrt source file
2023-01-11T22:11:23.1453236Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2023-01-11T22:11:23.1453898Z * DOCTEST : /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1161 <- wrt source file
2023-01-11T22:11:23.1454917Z * SKIPPED: /opt/conda/lib/python3.7/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2023-01-11T22:11:23.1455382Z ============
2023-01-11T22:11:23.1455700Z Finished doctests
2023-01-11T22:11:23.1455994Z 287 / 663 passed
2023-01-11T22:11:23.1456254Z 
2023-01-11T22:11:23.1456482Z === Found 3 run-time warnings ===
2023-01-11T22:11:23.1456739Z --- Runtime Warning: 1 / 3 ---
2023-01-11T22:11:23.1457007Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1096) at 0x7f8072044a50>
2023-01-11T22:11:23.1458018Z     /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1114: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1816.)
2023-01-11T22:11:23.1458728Z       return super(Tensor, self).refine_names(names)
2023-01-11T22:11:23.1459107Z     
2023-01-11T22:11:23.1459475Z --- Runtime Warning: 2 / 3 ---
2023-01-11T22:11:23.1459741Z example = <DocTest(torch.nested as_nested_tensor:0 ln 39) at 0x7f807218cf50>
2023-01-11T22:11:23.1460422Z     /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2023-01-11T22:11:23.1460933Z       return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None)
2023-01-11T22:11:23.1461153Z     
2023-01-11T22:11:23.1461388Z --- Runtime Warning: 3 / 3 ---
2023-01-11T22:11:23.1461672Z example = <DocTest(torch._functorch.aot_autograd aot_function:0 ln 2139) at 0x7f80721b0fd0>
2023-01-11T22:11:23.1462530Z     /opt/conda/lib/python3.7/site-packages/torch/_functorch/aot_autograd.py:922: UserWarning: Your compiler for AOTAutograd is returning a a function that doesn't take boxed arguments. Please wrap it with functorch.compile.make_boxed_func or handle the boxed arguments yourself. See https://github.com/pytorch/pytorch/pull/83137#issuecomment-1211320670 for rationale.
2023-01-11T22:11:23.1463230Z       "Your compiler for AOTAutograd is returning a a function that doesn't take boxed arguments. "
2023-01-11T22:11:23.1463477Z     
2023-01-11T22:11:23.1463754Z === 287 passed, 376 skipped, 3 warnings in 10.38 seconds ===
2023-01-11T22:11:23.5236936Z 
2023-01-11T22:11:23.5237238Z real	81m14.963s
2023-01-11T22:11:23.5237563Z user	152m23.063s
2023-01-11T22:11:23.5237888Z sys	12m35.373s
2023-01-11T22:11:23.5238188Z + assert_git_not_dirty
2023-01-11T22:11:23.5238751Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]]
2023-01-11T22:11:23.5239143Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]]
2023-01-11T22:11:23.5239584Z ++ git status --porcelain
2023-01-11T22:11:37.2561765Z + git_status=
2023-01-11T22:11:37.2562339Z + [[ -n '' ]]
2023-01-11T22:11:37.2562531Z + test_libtorch
2023-01-11T22:11:37.2562865Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]]
2023-01-11T22:11:37.2563187Z + echo 'Testing libtorch'
2023-01-11T22:11:37.2563484Z Testing libtorch
2023-01-11T22:11:37.2563890Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:11:37.2676317Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libjitbackend_test.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:11:37.2684161Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:11:37.2691877Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libshm.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:11:37.2699910Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:11:37.2708580Z + ln -sf '/opt/conda/lib/python3.7/site-packages/torch/lib/libtbb*' /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:11:37.2718071Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch
2023-01-11T22:11:37.2718563Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch
2023-01-11T22:11:37.2719138Z + python tools/download_mnist.py --quiet -d test/cpp/api/mnist
2023-01-11T22:11:37.2777373Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *-tsan* ]]
2023-01-11T22:11:37.2777662Z + python test/cpp/jit/tests_setup.py setup
2023-01-11T22:11:37.3148968Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2023-01-11T22:11:37.6947199Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2023-01-11T22:11:37.7307398Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2023-01-11T22:11:37.7995842Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2023-01-11T22:11:38.5841372Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *cuda* ]]
2023-01-11T22:11:38.5841924Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_jit '--gtest_filter=-*CUDA' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_jit.xml
2023-01-11T22:11:38.8998078Z CUDA not available. Disabling CUDA and MultiCUDA tests
2023-01-11T22:11:38.9002965Z Note: Google Test filter = -*CUDA:*_CUDA:*_MultiCUDA
2023-01-11T22:11:38.9003575Z [==========] Running 569 tests from 119 test suites.
2023-01-11T22:11:38.9003889Z [----------] Global test environment set-up.
2023-01-11T22:11:38.9004201Z [----------] 2 tests from AddIfThenElseOpTest
2023-01-11T22:11:38.9004622Z [ RUN      ] AddIfThenElseOpTest.AddIfThenElseOpSimple
2023-01-11T22:11:38.9070947Z [       OK ] AddIfThenElseOpTest.AddIfThenElseOpSimple (6 ms)
2023-01-11T22:11:38.9071710Z [ RUN      ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs
2023-01-11T22:11:38.9072377Z [       OK ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs (0 ms)
2023-01-11T22:11:38.9072804Z [----------] 2 tests from AddIfThenElseOpTest (6 ms total)
2023-01-11T22:11:38.9073037Z 
2023-01-11T22:11:38.9073195Z [----------] 15 tests from TopologicalMoveTest
2023-01-11T22:11:38.9073703Z [ RUN      ] TopologicalMoveTest.SplitsDeps
2023-01-11T22:11:38.9074355Z [       OK ] TopologicalMoveTest.SplitsDeps (0 ms)
2023-01-11T22:11:38.9074891Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardSimple
2023-01-11T22:11:38.9075516Z [       OK ] TopologicalMoveTest.MoveAfterBackwardSimple (0 ms)
2023-01-11T22:11:38.9075991Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardInvalid
2023-01-11T22:11:38.9076581Z [       OK ] TopologicalMoveTest.MoveAfterBackwardInvalid (0 ms)
2023-01-11T22:11:38.9077003Z [ RUN      ] TopologicalMoveTest.MoveAfterNoOp
2023-01-11T22:11:38.9077492Z [       OK ] TopologicalMoveTest.MoveAfterNoOp (0 ms)
2023-01-11T22:11:38.9078112Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps
2023-01-11T22:11:38.9078649Z [       OK ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps (0 ms)
2023-01-11T22:11:38.9079289Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet
2023-01-11T22:11:38.9079814Z [       OK ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet (0 ms)
2023-01-11T22:11:38.9080341Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardSimple
2023-01-11T22:11:38.9080878Z [       OK ] TopologicalMoveTest.MoveAfterForwardSimple (0 ms)
2023-01-11T22:11:38.9081685Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet
2023-01-11T22:11:38.9082379Z [       OK ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet (0 ms)
2023-01-11T22:11:38.9083056Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardSimple
2023-01-11T22:11:38.9083928Z [       OK ] TopologicalMoveTest.MoveBeforeForwardSimple (0 ms)
2023-01-11T22:11:38.9084600Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardSimple
2023-01-11T22:11:38.9085180Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardSimple (0 ms)
2023-01-11T22:11:38.9085752Z [ RUN      ] TopologicalMoveTest.MoveBeforeNoOp
2023-01-11T22:11:38.9086308Z [       OK ] TopologicalMoveTest.MoveBeforeNoOp (0 ms)
2023-01-11T22:11:38.9087148Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardWithDeps
2023-01-11T22:11:38.9087775Z [       OK ] TopologicalMoveTest.MoveBeforeForwardWithDeps (0 ms)
2023-01-11T22:11:38.9088276Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardWithDeps
2023-01-11T22:11:38.9088788Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardWithDeps (0 ms)
2023-01-11T22:11:38.9089259Z [ RUN      ] TopologicalMoveTest.DepsDisallowMove
2023-01-11T22:11:38.9089623Z [       OK ] TopologicalMoveTest.DepsDisallowMove (0 ms)
2023-01-11T22:11:38.9089999Z [ RUN      ] TopologicalMoveTest.MoveAfterBeforeWithDeps
2023-01-11T22:11:38.9090400Z [       OK ] TopologicalMoveTest.MoveAfterBeforeWithDeps (0 ms)
2023-01-11T22:11:38.9090789Z [----------] 15 tests from TopologicalMoveTest (1 ms total)
2023-01-11T22:11:38.9090956Z 
2023-01-11T22:11:38.9091102Z [----------] 6 tests from AliasAnalysisTest
2023-01-11T22:11:38.9091456Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves
2023-01-11T22:11:38.9124846Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves (3 ms)
2023-01-11T22:11:38.9125446Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves2
2023-01-11T22:11:38.9125932Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves2 (0 ms)
2023-01-11T22:11:38.9126483Z [ RUN      ] AliasAnalysisTest.SideEffectsBlockMoves
2023-01-11T22:11:38.9127036Z [       OK ] AliasAnalysisTest.SideEffectsBlockMoves (0 ms)
2023-01-11T22:11:38.9127548Z [ RUN      ] AliasAnalysisTest.MovingAcrossInnerBlocks
2023-01-11T22:11:38.9128102Z [       OK ] AliasAnalysisTest.MovingAcrossInnerBlocks (0 ms)
2023-01-11T22:11:38.9128529Z [ RUN      ] AliasAnalysisTest.NoneHasNoWriters
2023-01-11T22:11:38.9129026Z [       OK ] AliasAnalysisTest.NoneHasNoWriters (0 ms)
2023-01-11T22:11:38.9129590Z [ RUN      ] AliasAnalysisTest.SafeToChangeAliasingRelationship
2023-01-11T22:11:38.9130304Z [       OK ] AliasAnalysisTest.SafeToChangeAliasingRelationship (0 ms)
2023-01-11T22:11:38.9130775Z [----------] 6 tests from AliasAnalysisTest (4 ms total)
2023-01-11T22:11:38.9131031Z 
2023-01-11T22:11:38.9131264Z [----------] 4 tests from WriteTrackingTest
2023-01-11T22:11:38.9131719Z [ RUN      ] WriteTrackingTest.Basic
2023-01-11T22:11:38.9132087Z [       OK ] WriteTrackingTest.Basic (0 ms)
2023-01-11T22:11:38.9132492Z [ RUN      ] WriteTrackingTest.IsMutable
2023-01-11T22:11:38.9132989Z [       OK ] WriteTrackingTest.IsMutable (0 ms)
2023-01-11T22:11:38.9133519Z [ RUN      ] WriteTrackingTest.IsImmutable
2023-01-11T22:11:38.9134134Z [       OK ] WriteTrackingTest.IsImmutable (0 ms)
2023-01-11T22:11:38.9134511Z [ RUN      ] WriteTrackingTest.HasWriters
2023-01-11T22:11:38.9134947Z [       OK ] WriteTrackingTest.HasWriters (0 ms)
2023-01-11T22:11:38.9135479Z [----------] 4 tests from WriteTrackingTest (0 ms total)
2023-01-11T22:11:38.9135716Z 
2023-01-11T22:11:38.9135945Z [----------] 13 tests from ContainerAliasingTest
2023-01-11T22:11:38.9136395Z [ RUN      ] ContainerAliasingTest.MayContainAlias
2023-01-11T22:11:38.9136924Z [       OK ] ContainerAliasingTest.MayContainAlias (0 ms)
2023-01-11T22:11:38.9137315Z [ RUN      ] ContainerAliasingTest.MayContainAlias_cast
2023-01-11T22:11:38.9137758Z [       OK ] ContainerAliasingTest.MayContainAlias_cast (0 ms)
2023-01-11T22:11:38.9138307Z [ RUN      ] ContainerAliasingTest.PrimitveValuesDontAliasContainers
2023-01-11T22:11:38.9138794Z [       OK ] ContainerAliasingTest.PrimitveValuesDontAliasContainers (0 ms)
2023-01-11T22:11:38.9139188Z [ RUN      ] ContainerAliasingTest.UnionAliasing
2023-01-11T22:11:38.9139550Z [       OK ] ContainerAliasingTest.UnionAliasing (0 ms)
2023-01-11T22:11:38.9140150Z [ RUN      ] ContainerAliasingTest.InputsCanAliasOutputs
2023-01-11T22:11:38.9140634Z [       OK ] ContainerAliasingTest.InputsCanAliasOutputs (0 ms)
2023-01-11T22:11:38.9141014Z [ RUN      ] ContainerAliasingTest.NestedTupleConstruct
2023-01-11T22:11:38.9141407Z [       OK ] ContainerAliasingTest.NestedTupleConstruct (0 ms)
2023-01-11T22:11:38.9141766Z [ RUN      ] ContainerAliasingTest.NestedTypes
2023-01-11T22:11:38.9142280Z [       OK ] ContainerAliasingTest.NestedTypes (0 ms)
2023-01-11T22:11:38.9142682Z [ RUN      ] ContainerAliasingTest.Simple
2023-01-11T22:11:38.9143000Z [       OK ] ContainerAliasingTest.Simple (0 ms)
2023-01-11T22:11:38.9143306Z [ RUN      ] ContainerAliasingTest.Lists
2023-01-11T22:11:38.9143602Z [       OK ] ContainerAliasingTest.Lists (0 ms)
2023-01-11T22:11:38.9143969Z [ RUN      ] ContainerAliasingTest.Lists2
2023-01-11T22:11:38.9144355Z [       OK ] ContainerAliasingTest.Lists2 (0 ms)
2023-01-11T22:11:38.9144791Z [ RUN      ] ContainerAliasingTest.Conservative
2023-01-11T22:11:38.9145455Z [       OK ] ContainerAliasingTest.Conservative (0 ms)
2023-01-11T22:11:38.9145988Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWrites
2023-01-11T22:11:38.9146573Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWrites (0 ms)
2023-01-11T22:11:38.9147185Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWritesNested
2023-01-11T22:11:38.9147727Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWritesNested (0 ms)
2023-01-11T22:11:38.9148353Z [----------] 13 tests from ContainerAliasingTest (1 ms total)
2023-01-11T22:11:38.9148526Z 
2023-01-11T22:11:38.9148668Z [----------] 3 tests from WildcardsTest
2023-01-11T22:11:38.9148931Z [ RUN      ] WildcardsTest.Basic
2023-01-11T22:11:38.9149377Z [       OK ] WildcardsTest.Basic (0 ms)
2023-01-11T22:11:38.9149905Z [ RUN      ] WildcardsTest.TypeIsolation
2023-01-11T22:11:38.9150352Z [       OK ] WildcardsTest.TypeIsolation (0 ms)
2023-01-11T22:11:38.9150760Z [ RUN      ] WildcardsTest.InvariantContainerAliasing
2023-01-11T22:11:38.9151436Z [       OK ] WildcardsTest.InvariantContainerAliasing (0 ms)
2023-01-11T22:11:38.9151928Z [----------] 3 tests from WildcardsTest (0 ms total)
2023-01-11T22:11:38.9152176Z 
2023-01-11T22:11:38.9152500Z [----------] 18 tests from AliasRegistrationTest
2023-01-11T22:11:38.9153094Z [ RUN      ] AliasRegistrationTest.ConservativeWithInferredSchema
2023-01-11T22:11:38.9153560Z [       OK ] AliasRegistrationTest.ConservativeWithInferredSchema (0 ms)
2023-01-11T22:11:38.9154005Z [ RUN      ] AliasRegistrationTest.ConservativeWithSpecifiedSchema
2023-01-11T22:11:38.9154567Z [       OK ] AliasRegistrationTest.ConservativeWithSpecifiedSchema (0 ms)
2023-01-11T22:11:38.9155092Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError
2023-01-11T22:11:38.9224784Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError (7 ms)
2023-01-11T22:11:38.9225498Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2
2023-01-11T22:11:38.9254442Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 (2 ms)
2023-01-11T22:11:38.9255120Z [ RUN      ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError
2023-01-11T22:11:38.9263773Z [       OK ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError (0 ms)
2023-01-11T22:11:38.9264487Z [ RUN      ] AliasRegistrationTest.FromSchemaInferredPure
2023-01-11T22:11:38.9265256Z [       OK ] AliasRegistrationTest.FromSchemaInferredPure (0 ms)
2023-01-11T22:11:38.9265863Z [ RUN      ] AliasRegistrationTest.FromSchemaAliased
2023-01-11T22:11:38.9267081Z [       OK ] AliasRegistrationTest.FromSchemaAliased (0 ms)
2023-01-11T22:11:38.9267588Z [ RUN      ] AliasRegistrationTest.FromSchemaPure
2023-01-11T22:11:38.9268137Z [       OK ] AliasRegistrationTest.FromSchemaPure (0 ms)
2023-01-11T22:11:38.9268547Z [ RUN      ] AliasRegistrationTest.PureNoSchema
2023-01-11T22:11:38.9269020Z [       OK ] AliasRegistrationTest.PureNoSchema (0 ms)
2023-01-11T22:11:38.9269527Z [ RUN      ] AliasRegistrationTest.PureWithSchema
2023-01-11T22:11:38.9270110Z [       OK ] AliasRegistrationTest.PureWithSchema (0 ms)
2023-01-11T22:11:38.9270527Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError
2023-01-11T22:11:38.9299962Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError (2 ms)
2023-01-11T22:11:38.9300439Z [ RUN      ] AliasRegistrationTest.AliasMoveAtenListOp
2023-01-11T22:11:38.9301388Z [       OK ] AliasRegistrationTest.AliasMoveAtenListOp (0 ms)
2023-01-11T22:11:38.9302174Z [ RUN      ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput
2023-01-11T22:11:38.9303128Z [       OK ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput (0 ms)
2023-01-11T22:11:38.9303948Z [ RUN      ] AliasRegistrationTest.RecursiveSubgraphTupleContainment
2023-01-11T22:11:38.9304633Z [       OK ] AliasRegistrationTest.RecursiveSubgraphTupleContainment (0 ms)
2023-01-11T22:11:38.9305227Z [ RUN      ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses
2023-01-11T22:11:38.9305740Z [       OK ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses (0 ms)
2023-01-11T22:11:38.9306203Z [ RUN      ] AliasRegistrationTest.ATenSplitIntListAliasCheck
2023-01-11T22:11:38.9306634Z [       OK ] AliasRegistrationTest.ATenSplitIntListAliasCheck (0 ms)
2023-01-11T22:11:38.9307046Z [ RUN      ] AliasRegistrationTest.ATenSplitIntAliasCheck
2023-01-11T22:11:38.9307441Z [       OK ] AliasRegistrationTest.ATenSplitIntAliasCheck (0 ms)
2023-01-11T22:11:38.9307876Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError2
2023-01-11T22:11:38.9334929Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError2 (2 ms)
2023-01-11T22:11:38.9335537Z [----------] 18 tests from AliasRegistrationTest (18 ms total)
2023-01-11T22:11:38.9335819Z 
2023-01-11T22:11:38.9336022Z [----------] 2 tests from IRNonDeterminismTest
2023-01-11T22:11:38.9336321Z [ RUN      ] IRNonDeterminismTest.Basic
2023-01-11T22:11:38.9336743Z [       OK ] IRNonDeterminismTest.Basic (0 ms)
2023-01-11T22:11:38.9337369Z [ RUN      ] IRNonDeterminismTest.DropoutSpecialCase
2023-01-11T22:11:38.9337889Z [       OK ] IRNonDeterminismTest.DropoutSpecialCase (0 ms)
2023-01-11T22:11:38.9338336Z [----------] 2 tests from IRNonDeterminismTest (0 ms total)
2023-01-11T22:11:38.9338533Z 
2023-01-11T22:11:38.9338927Z [----------] 1 test from NonDeterminismBackwardsCompatibility
2023-01-11T22:11:38.9339634Z [ RUN      ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility
2023-01-11T22:11:38.9340151Z [       OK ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility (0 ms)
2023-01-11T22:11:38.9340629Z [----------] 1 test from NonDeterminismBackwardsCompatibility (0 ms total)
2023-01-11T22:11:38.9340830Z 
2023-01-11T22:11:38.9340962Z [----------] 3 tests from AutodiffTest
2023-01-11T22:11:38.9341236Z [ RUN      ] AutodiffTest.ADFormulas
2023-01-11T22:11:38.9807061Z [       OK ] AutodiffTest.ADFormulas (46 ms)
2023-01-11T22:11:38.9807380Z [ RUN      ] AutodiffTest.Differentiate
2023-01-11T22:11:38.9812767Z [       OK ] AutodiffTest.Differentiate (0 ms)
2023-01-11T22:11:38.9813432Z [ RUN      ] AutodiffTest.DifferentiateWithRequiresGrad
2023-01-11T22:11:38.9832083Z [       OK ] AutodiffTest.DifferentiateWithRequiresGrad (1 ms)
2023-01-11T22:11:38.9832507Z [----------] 3 tests from AutodiffTest (49 ms total)
2023-01-11T22:11:38.9832666Z 
2023-01-11T22:11:38.9832870Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest
2023-01-11T22:11:38.9833293Z [ RUN      ] AutodiffRemoveUnusedGradientsTest.Linear
2023-01-11T22:11:38.9845104Z [       OK ] AutodiffRemoveUnusedGradientsTest.Linear (1 ms)
2023-01-11T22:11:38.9845640Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest (1 ms total)
2023-01-11T22:11:38.9845901Z 
2023-01-11T22:11:38.9846054Z [----------] 1 test from UpgraderLoad
2023-01-11T22:11:38.9846378Z [ RUN      ] UpgraderLoad.CanPopulateUpgradersGraph
2023-01-11T22:11:38.9889000Z [       OK ] UpgraderLoad.CanPopulateUpgradersGraph (4 ms)
2023-01-11T22:11:38.9889650Z [----------] 1 test from UpgraderLoad (4 ms total)
2023-01-11T22:11:38.9889890Z 
2023-01-11T22:11:38.9890085Z [----------] 4 tests from OpReplacementTest
2023-01-11T22:11:38.9890436Z [ RUN      ] OpReplacementTest.ReplaceDivInSimpleFunction
2023-01-11T22:11:38.9891122Z [       OK ] OpReplacementTest.ReplaceDivInSimpleFunction (0 ms)
2023-01-11T22:11:38.9891720Z [ RUN      ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction
2023-01-11T22:11:38.9892915Z [       OK ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction (0 ms)
2023-01-11T22:11:38.9893601Z [ RUN      ] OpReplacementTest.ReplaceDivInNestedFunction
2023-01-11T22:11:38.9895221Z [       OK ] OpReplacementTest.ReplaceDivInNestedFunction (0 ms)
2023-01-11T22:11:38.9895957Z [ RUN      ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction
2023-01-11T22:11:38.9896923Z [       OK ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction (0 ms)
2023-01-11T22:11:38.9897687Z [----------] 4 tests from OpReplacementTest (0 ms total)
2023-01-11T22:11:38.9897875Z 
2023-01-11T22:11:38.9898018Z [----------] 4 tests from UpgraderUtils
2023-01-11T22:11:38.9898375Z [ RUN      ] UpgraderUtils.FindCorrectUpgrader
2023-01-11T22:11:38.9898724Z [       OK ] UpgraderUtils.FindCorrectUpgrader (0 ms)
2023-01-11T22:11:38.9899058Z [ RUN      ] UpgraderUtils.IsVersionMapSorted
2023-01-11T22:11:38.9899386Z [       OK ] UpgraderUtils.IsVersionMapSorted (0 ms)
2023-01-11T22:11:38.9899717Z [ RUN      ] UpgraderUtils.FindIfOpIsCurrent
2023-01-11T22:11:38.9900047Z [       OK ] UpgraderUtils.FindIfOpIsCurrent (0 ms)
2023-01-11T22:11:38.9900359Z [ RUN      ] UpgraderUtils.CanLoadHistoricOp
2023-01-11T22:11:38.9900686Z [       OK ] UpgraderUtils.CanLoadHistoricOp (0 ms)
2023-01-11T22:11:38.9901010Z [----------] 4 tests from UpgraderUtils (0 ms total)
2023-01-11T22:11:38.9901159Z 
2023-01-11T22:11:38.9901289Z [----------] 9 tests from BackendTest
2023-01-11T22:11:38.9901554Z [ RUN      ] BackendTest.ToBackend
2023-01-11T22:11:38.9945007Z [       OK ] BackendTest.ToBackend (4 ms)
2023-01-11T22:11:38.9945605Z [ RUN      ] BackendTest.ToBackendNotAvailable
2023-01-11T22:11:38.9967198Z [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2023-01-11T22:11:39.0010353Z [       OK ] BackendTest.ToBackendNotAvailable (6 ms)
2023-01-11T22:11:39.0010707Z [ RUN      ] BackendTest.TestCompiler
2023-01-11T22:11:39.0079522Z [       OK ] BackendTest.TestCompiler (6 ms)
2023-01-11T22:11:39.0079907Z [ RUN      ] BackendTest.TestCompilerWithStringTable
2023-01-11T22:11:39.0133770Z [       OK ] BackendTest.TestCompilerWithStringTable (5 ms)
2023-01-11T22:11:39.0134103Z [ RUN      ] BackendTest.TestComposite
2023-01-11T22:11:39.0238823Z [       OK ] BackendTest.TestComposite (10 ms)
2023-01-11T22:11:39.0239540Z [ RUN      ] BackendTest.TestPrimDtype
2023-01-11T22:11:39.0245334Z [       OK ] BackendTest.TestPrimDtype (0 ms)
2023-01-11T22:11:39.0245926Z [ RUN      ] BackendTest.TestCompositeWithSetStates
2023-01-11T22:11:39.0349871Z [       OK ] BackendTest.TestCompositeWithSetStates (10 ms)
2023-01-11T22:11:39.0350515Z [ RUN      ] BackendTest.TestConsistencyOfCompositeWithSetStates
2023-01-11T22:11:39.0541464Z [       OK ] BackendTest.TestConsistencyOfCompositeWithSetStates (19 ms)
2023-01-11T22:11:39.0542017Z [ RUN      ] BackendTest.TestCompilerNotSupport
2023-01-11T22:11:39.0556776Z [       OK ] BackendTest.TestCompilerNotSupport (1 ms)
2023-01-11T22:11:39.0557427Z [----------] 9 tests from BackendTest (65 ms total)
2023-01-11T22:11:39.0557589Z 
2023-01-11T22:11:39.0557747Z [----------] 6 tests from BackendTestDebugInfo
2023-01-11T22:11:39.0558077Z [ RUN      ] BackendTestDebugInfo.TestCompiler
2023-01-11T22:11:39.0673464Z [       OK ] BackendTestDebugInfo.TestCompiler (11 ms)
2023-01-11T22:11:39.0674165Z [ RUN      ] BackendTestDebugInfo.TestCompilerWithStringTable
2023-01-11T22:11:39.0790109Z [       OK ] BackendTestDebugInfo.TestCompilerWithStringTable (11 ms)
2023-01-11T22:11:39.0790862Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy
2023-01-11T22:11:39.0927179Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy (13 ms)
2023-01-11T22:11:39.0928034Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy
2023-01-11T22:11:39.1047408Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy (12 ms)
2023-01-11T22:11:39.1048101Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule
2023-01-11T22:11:39.1169119Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule (12 ms)
2023-01-11T22:11:39.1169871Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule
2023-01-11T22:11:39.1293050Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule (12 ms)
2023-01-11T22:11:39.1293684Z [----------] 6 tests from BackendTestDebugInfo (73 ms total)
2023-01-11T22:11:39.1293865Z 
2023-01-11T22:11:39.1294024Z [----------] 4 tests from ClassImportTest
2023-01-11T22:11:39.1294310Z [ RUN      ] ClassImportTest.Basic
2023-01-11T22:11:39.1299097Z [       OK ] ClassImportTest.Basic (0 ms)
2023-01-11T22:11:39.1299408Z [ RUN      ] ClassImportTest.ScriptObject
2023-01-11T22:11:39.1319852Z [       OK ] ClassImportTest.ScriptObject (2 ms)
2023-01-11T22:11:39.1320290Z [ RUN      ] ClassImportTest.ClassDerive
2023-01-11T22:11:39.1320716Z [       OK ] ClassImportTest.ClassDerive (0 ms)
2023-01-11T22:11:39.1321028Z [ RUN      ] ClassImportTest.CustomClass
2023-01-11T22:11:39.1323856Z [       OK ] ClassImportTest.CustomClass (0 ms)
2023-01-11T22:11:39.1324400Z [----------] 4 tests from ClassImportTest (3 ms total)
2023-01-11T22:11:39.1324579Z 
2023-01-11T22:11:39.1324741Z [----------] 1 test from ClassParserTest
2023-01-11T22:11:39.1325030Z [ RUN      ] ClassParserTest.Basic
2023-01-11T22:11:39.1325304Z [       OK ] ClassParserTest.Basic (0 ms)
2023-01-11T22:11:39.1325619Z [----------] 1 test from ClassParserTest (0 ms total)
2023-01-11T22:11:39.1325775Z 
2023-01-11T22:11:39.1325922Z [----------] 3 tests from ClassTypeTest
2023-01-11T22:11:39.1326210Z [ RUN      ] ClassTypeTest.AddRemoveAttr
2023-01-11T22:11:39.1326511Z [       OK ] ClassTypeTest.AddRemoveAttr (0 ms)
2023-01-11T22:11:39.1326829Z [ RUN      ] ClassTypeTest.AddRemoveConstant
2023-01-11T22:11:39.1327326Z [       OK ] ClassTypeTest.AddRemoveConstant (0 ms)
2023-01-11T22:11:39.1327674Z [ RUN      ] ClassTypeTest.IdenticalTypesDifferentCus
2023-01-11T22:11:39.1331832Z [       OK ] ClassTypeTest.IdenticalTypesDifferentCus (0 ms)
2023-01-11T22:11:39.1332317Z [----------] 3 tests from ClassTypeTest (0 ms total)
2023-01-11T22:11:39.1332481Z 
2023-01-11T22:11:39.1332737Z [----------] 2 tests from TestCodeTemplate
2023-01-11T22:11:39.1333080Z [ RUN      ] TestCodeTemplate.Copying
2023-01-11T22:11:39.1333383Z [       OK ] TestCodeTemplate.Copying (0 ms)
2023-01-11T22:11:39.1333739Z [ RUN      ] TestCodeTemplate.Formatting
2023-01-11T22:11:39.1334043Z [       OK ] TestCodeTemplate.Formatting (0 ms)
2023-01-11T22:11:39.1334384Z [----------] 2 tests from TestCodeTemplate (0 ms total)
2023-01-11T22:11:39.1334589Z 
2023-01-11T22:11:39.1334741Z [----------] 13 tests from ConcatOptTest
2023-01-11T22:11:39.1335109Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationPrefix
2023-01-11T22:11:39.1392776Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationPrefix (5 ms)
2023-01-11T22:11:39.1393250Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationSuffix
2023-01-11T22:11:39.1438475Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationSuffix (4 ms)
2023-01-11T22:11:39.1439126Z [ RUN      ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs
2023-01-11T22:11:39.1481173Z [       OK ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs (4 ms)
2023-01-11T22:11:39.1481650Z [ RUN      ] ConcatOptTest.MoreCommonInputsElimination
2023-01-11T22:11:39.1567070Z [       OK ] ConcatOptTest.MoreCommonInputsElimination (8 ms)
2023-01-11T22:11:39.1567584Z [ RUN      ] ConcatOptTest.ExpandConcat
2023-01-11T22:11:39.1596823Z [       OK ] ConcatOptTest.ExpandConcat (2 ms)
2023-01-11T22:11:39.1597383Z [ RUN      ] ConcatOptTest.ConcatWithoutResultShape
2023-01-11T22:11:39.1625941Z [       OK ] ConcatOptTest.ConcatWithoutResultShape (2 ms)
2023-01-11T22:11:39.1626379Z [ RUN      ] ConcatOptTest.ConcatWithoutInputShape
2023-01-11T22:11:39.1650737Z [       OK ] ConcatOptTest.ConcatWithoutInputShape (2 ms)
2023-01-11T22:11:39.1651141Z [ RUN      ] ConcatOptTest.UseVariadicCat
2023-01-11T22:11:39.1717113Z [       OK ] ConcatOptTest.UseVariadicCat (6 ms)
2023-01-11T22:11:39.1717551Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListUses
2023-01-11T22:11:39.1740313Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListUses (2 ms)
2023-01-11T22:11:39.1741239Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat
2023-01-11T22:11:39.1769247Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat (2 ms)
2023-01-11T22:11:39.1770185Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat
2023-01-11T22:11:39.1809860Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat (4 ms)
2023-01-11T22:11:39.1810835Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListMutations
2023-01-11T22:11:39.1866167Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListMutations (5 ms)
2023-01-11T22:11:39.1867260Z [ RUN      ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination
2023-01-11T22:11:39.1910335Z [       OK ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination (4 ms)
2023-01-11T22:11:39.1911161Z [----------] 13 tests from ConcatOptTest (57 ms total)
2023-01-11T22:11:39.1911427Z 
2023-01-11T22:11:39.1911695Z [----------] 1 test from OptimizeConcatTest
2023-01-11T22:11:39.1912308Z [ RUN      ] OptimizeConcatTest.UseVariadicCatReplaceMultiple
2023-01-11T22:11:39.1948330Z [       OK ] OptimizeConcatTest.UseVariadicCatReplaceMultiple (3 ms)
2023-01-11T22:11:39.1949186Z [----------] 1 test from OptimizeConcatTest (3 ms total)
2023-01-11T22:11:39.1949542Z 
2023-01-11T22:11:39.1949824Z [----------] 3 tests from ConcatOpt
2023-01-11T22:11:39.1950386Z [ RUN      ] ConcatOpt.CombineConcatsSimpleCase
2023-01-11T22:11:39.1951133Z [       OK ] ConcatOpt.CombineConcatsSimpleCase (0 ms)
2023-01-11T22:11:39.1951861Z [ RUN      ] ConcatOpt.CombineConcatsLongChain
2023-01-11T22:11:39.1953310Z [       OK ] ConcatOpt.CombineConcatsLongChain (0 ms)
2023-01-11T22:11:39.1953855Z [ RUN      ] ConcatOpt.CombineConcatsMutation
2023-01-11T22:11:39.1954856Z [       OK ] ConcatOpt.CombineConcatsMutation (0 ms)
2023-01-11T22:11:39.1955406Z [----------] 3 tests from ConcatOpt (0 ms total)
2023-01-11T22:11:39.1955669Z 
2023-01-11T22:11:39.1955953Z [----------] 4 tests from ConstantPoolingTest
2023-01-11T22:11:39.1956448Z [ RUN      ] ConstantPoolingTest.Int
2023-01-11T22:11:39.1956951Z [       OK ] ConstantPoolingTest.Int (0 ms)
2023-01-11T22:11:39.1957451Z [ RUN      ] ConstantPoolingTest.PoolingAcrossBlocks
2023-01-11T22:11:39.1958044Z [       OK ] ConstantPoolingTest.PoolingAcrossBlocks (0 ms)
2023-01-11T22:11:39.1958680Z [ RUN      ] ConstantPoolingTest.PoolingDifferentDevices
2023-01-11T22:11:39.1961000Z [       OK ] ConstantPoolingTest.PoolingDifferentDevices (0 ms)
2023-01-11T22:11:39.1961698Z [ RUN      ] ConstantPoolingTest.DictConstantPooling
2023-01-11T22:11:39.1962335Z [       OK ] ConstantPoolingTest.DictConstantPooling (0 ms)
2023-01-11T22:11:39.1962981Z [----------] 4 tests from ConstantPoolingTest (0 ms total)
2023-01-11T22:11:39.1963268Z 
2023-01-11T22:11:39.1963716Z [----------] 1 test from CleanupPassTest
2023-01-11T22:11:39.1964208Z [ RUN      ] CleanupPassTest.Basic
2023-01-11T22:11:39.1964849Z [       OK ] CleanupPassTest.Basic (0 ms)
2023-01-11T22:11:39.1965415Z [----------] 1 test from CleanupPassTest (0 ms total)
2023-01-11T22:11:39.1965674Z 
2023-01-11T22:11:39.1965966Z [----------] 1 test from CreateAutodiffSubgraphsTest
2023-01-11T22:11:39.1966517Z [ RUN      ] CreateAutodiffSubgraphsTest.Basic
2023-01-11T22:11:39.1970736Z [       OK ] CreateAutodiffSubgraphsTest.Basic (0 ms)
2023-01-11T22:11:39.1971385Z [----------] 1 test from CreateAutodiffSubgraphsTest (0 ms total)
2023-01-11T22:11:39.1971694Z 
2023-01-11T22:11:39.1971949Z [----------] 4 tests from CustomClassTest
2023-01-11T22:11:39.1972468Z [ RUN      ] CustomClassTest.TorchbindIValueAPI
2023-01-11T22:11:39.1977184Z [       OK ] CustomClassTest.TorchbindIValueAPI (0 ms)
2023-01-11T22:11:39.1977775Z [ RUN      ] CustomClassTest.ScalarTypeClass
2023-01-11T22:11:39.1979966Z [       OK ] CustomClassTest.ScalarTypeClass (0 ms)
2023-01-11T22:11:39.1980498Z [ RUN      ] CustomClassTest.TestDocString
2023-01-11T22:11:39.1981038Z [       OK ] CustomClassTest.TestDocString (0 ms)
2023-01-11T22:11:39.1981570Z [ RUN      ] CustomClassTest.Serialization
2023-01-11T22:11:39.1998720Z [       OK ] CustomClassTest.Serialization (1 ms)
2023-01-11T22:11:39.1999281Z [----------] 4 tests from CustomClassTest (2 ms total)
2023-01-11T22:11:39.1999533Z 
2023-01-11T22:11:39.1999796Z [----------] 5 tests from CustomOperatorTest
2023-01-11T22:11:39.2000325Z [ RUN      ] CustomOperatorTest.InferredSchema
2023-01-11T22:11:39.2001445Z [       OK ] CustomOperatorTest.InferredSchema (0 ms)
2023-01-11T22:11:39.2001995Z [ RUN      ] CustomOperatorTest.ExplicitSchema
2023-01-11T22:11:39.2004487Z [       OK ] CustomOperatorTest.ExplicitSchema (0 ms)
2023-01-11T22:11:39.2005077Z [ RUN      ] CustomOperatorTest.ListParameters
2023-01-11T22:11:39.2006376Z [       OK ] CustomOperatorTest.ListParameters (0 ms)
2023-01-11T22:11:39.2006926Z [ RUN      ] CustomOperatorTest.ListParameters2
2023-01-11T22:11:39.2009006Z [       OK ] CustomOperatorTest.ListParameters2 (0 ms)
2023-01-11T22:11:39.2009550Z [ RUN      ] CustomOperatorTest.Aliasing
2023-01-11T22:11:39.2011598Z [       OK ] CustomOperatorTest.Aliasing (0 ms)
2023-01-11T22:11:39.2012188Z [----------] 5 tests from CustomOperatorTest (1 ms total)
2023-01-11T22:11:39.2012626Z 
2023-01-11T22:11:39.2012919Z [----------] 2 tests from TestCustomOperator
2023-01-11T22:11:39.2013534Z [ RUN      ] TestCustomOperator.OperatorGeneratorUndeclared
2023-01-11T22:11:39.2014250Z [       OK ] TestCustomOperator.OperatorGeneratorUndeclared (0 ms)
2023-01-11T22:11:39.2014958Z [ RUN      ] TestCustomOperator.OperatorGeneratorBasic
2023-01-11T22:11:39.2015658Z [       OK ] TestCustomOperator.OperatorGeneratorBasic (0 ms)
2023-01-11T22:11:39.2016228Z [----------] 2 tests from TestCustomOperator (0 ms total)
2023-01-11T22:11:39.2016460Z 
2023-01-11T22:11:39.2016751Z [----------] 1 test from EliminateDeadCodeTest
2023-01-11T22:11:39.2017217Z [ RUN      ] EliminateDeadCodeTest.Basic
2023-01-11T22:11:39.2017756Z [       OK ] EliminateDeadCodeTest.Basic (0 ms)
2023-01-11T22:11:39.2018331Z [----------] 1 test from EliminateDeadCodeTest (0 ms total)
2023-01-11T22:11:39.2018633Z 
2023-01-11T22:11:39.2018867Z [----------] 2 tests from FuserTest
2023-01-11T22:11:39.2019330Z [ RUN      ] FuserTest.FusionAliasing
2023-01-11T22:11:39.2021692Z [       OK ] FuserTest.FusionAliasing (0 ms)
2023-01-11T22:11:39.2022215Z [ RUN      ] FuserTest.KernelCaching
2023-01-11T22:11:39.2025753Z [       OK ] FuserTest.KernelCaching (0 ms)
2023-01-11T22:11:39.2026317Z [----------] 2 tests from FuserTest (0 ms total)
2023-01-11T22:11:39.2026578Z 
2023-01-11T22:11:39.2026878Z [----------] 1 test from GraphExecutorTest
2023-01-11T22:11:39.2027439Z [ RUN      ] GraphExecutorTest.runAsync_executor
2023-01-11T22:11:39.2050953Z [       OK ] GraphExecutorTest.runAsync_executor (2 ms)
2023-01-11T22:11:39.2051698Z [----------] 1 test from GraphExecutorTest (2 ms total)
2023-01-11T22:11:39.2052068Z 
2023-01-11T22:11:39.2052411Z [----------] 5 tests from GraphIteratorTest
2023-01-11T22:11:39.2052817Z [ RUN      ] GraphIteratorTest.ConstantReturnGraph
2023-01-11T22:11:39.2053367Z [       OK ] GraphIteratorTest.ConstantReturnGraph (0 ms)
2023-01-11T22:11:39.2054106Z [ RUN      ] GraphIteratorTest.GraphWithParameters
2023-01-11T22:11:39.2054982Z [       OK ] GraphIteratorTest.GraphWithParameters (0 ms)
2023-01-11T22:11:39.2055453Z [ RUN      ] GraphIteratorTest.GraphWithIf
2023-01-11T22:11:39.2055767Z [       OK ] GraphIteratorTest.GraphWithIf (0 ms)
2023-01-11T22:11:39.2056110Z [ RUN      ] GraphIteratorTest.GraphWithNestedIf
2023-01-11T22:11:39.2056469Z [       OK ] GraphIteratorTest.GraphWithNestedIf (0 ms)
2023-01-11T22:11:39.2056797Z [ RUN      ] GraphIteratorTest.GraphWithLoop
2023-01-11T22:11:39.2057133Z [       OK ] GraphIteratorTest.GraphWithLoop (0 ms)
2023-01-11T22:11:39.2057477Z [----------] 5 tests from GraphIteratorTest (0 ms total)
2023-01-11T22:11:39.2057641Z 
2023-01-11T22:11:39.2057832Z [----------] 1 test from CSDebugInfoSerializaitionTest
2023-01-11T22:11:39.2058187Z [ RUN      ] CSDebugInfoSerializaitionTest.TwoSubmodules
2023-01-11T22:11:39.2060038Z [       OK ] CSDebugInfoSerializaitionTest.TwoSubmodules (0 ms)
2023-01-11T22:11:39.2060805Z [----------] 1 test from CSDebugInfoSerializaitionTest (0 ms total)
2023-01-11T22:11:39.2060995Z 
2023-01-11T22:11:39.2061128Z [----------] 1 test from InlinerTest
2023-01-11T22:11:39.2061392Z [ RUN      ] InlinerTest.Basic
2023-01-11T22:11:39.2063094Z [       OK ] InlinerTest.Basic (0 ms)
2023-01-11T22:11:39.2063462Z [----------] 1 test from InlinerTest (0 ms total)
2023-01-11T22:11:39.2063597Z 
2023-01-11T22:11:39.2063746Z [----------] 1 test from InterfaceTest
2023-01-11T22:11:39.2064078Z [ RUN      ] InterfaceTest.ModuleInterfaceSerialization
2023-01-11T22:11:39.2076339Z [       OK ] InterfaceTest.ModuleInterfaceSerialization (1 ms)
2023-01-11T22:11:39.2076875Z [----------] 1 test from InterfaceTest (1 ms total)
2023-01-11T22:11:39.2077032Z 
2023-01-11T22:11:39.2077217Z [----------] 4 tests from TypeCheckTest
2023-01-11T22:11:39.2077601Z [ RUN      ] TypeCheckTest.MatchingType
2023-01-11T22:11:39.2078277Z [       OK ] TypeCheckTest.MatchingType (0 ms)
2023-01-11T22:11:39.2078842Z [ RUN      ] TypeCheckTest.SizeMismatch
2023-01-11T22:11:39.2079385Z [       OK ] TypeCheckTest.SizeMismatch (0 ms)
2023-01-11T22:11:39.2079960Z [ RUN      ] TypeCheckTest.GradientMismatch
2023-01-11T22:11:39.2080552Z [       OK ] TypeCheckTest.GradientMismatch (0 ms)
2023-01-11T22:11:39.2080970Z [ RUN      ] TypeCheckTest.ScalarTypeMismatch
2023-01-11T22:11:39.2081599Z [       OK ] TypeCheckTest.ScalarTypeMismatch (0 ms)
2023-01-11T22:11:39.2082139Z [----------] 4 tests from TypeCheckTest (0 ms total)
2023-01-11T22:11:39.2082296Z 
2023-01-11T22:11:39.2082439Z [----------] 3 tests from InterpreterTest
2023-01-11T22:11:39.2082764Z [ RUN      ] InterpreterTest.IgnorableArgsInSchema
2023-01-11T22:11:39.2085559Z [       OK ] InterpreterTest.IgnorableArgsInSchema (0 ms)
2023-01-11T22:11:39.2086299Z [ RUN      ] InterpreterTest.IgnorableArgsInSchemaWithOut
2023-01-11T22:11:39.2086789Z [       OK ] InterpreterTest.IgnorableArgsInSchemaWithOut (0 ms)
2023-01-11T22:11:39.2087168Z [ RUN      ] InterpreterTest.runAsyncBasicTest
2023-01-11T22:11:39.2101732Z [       OK ] InterpreterTest.runAsyncBasicTest (1 ms)
2023-01-11T22:11:39.2102370Z [----------] 3 tests from InterpreterTest (2 ms total)
2023-01-11T22:11:39.2102539Z 
2023-01-11T22:11:39.2102747Z [----------] 1 test from EnableRethrowCaughtExceptionTest
2023-01-11T22:11:39.2103321Z [ RUN      ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException
2023-01-11T22:11:39.2310808Z [       OK ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException (20 ms)
2023-01-11T22:11:39.2311432Z [----------] 1 test from EnableRethrowCaughtExceptionTest (20 ms total)
2023-01-11T22:11:39.2311672Z 
2023-01-11T22:11:39.2311886Z [----------] 4 tests from IRTest
2023-01-11T22:11:39.2312233Z [ RUN      ] IRTest.Attributes
2023-01-11T22:11:39.2312594Z [       OK ] IRTest.Attributes (0 ms)
2023-01-11T22:11:39.2312964Z [ RUN      ] IRTest.Blocks
2023-01-11T22:11:39.2313333Z [       OK ] IRTest.Blocks (0 ms)
2023-01-11T22:11:39.2313752Z [ RUN      ] IRTest.CommonAncestor
2023-01-11T22:11:39.2314161Z [       OK ] IRTest.CommonAncestor (0 ms)
2023-01-11T22:11:39.2314570Z [ RUN      ] IRTest.OperatorMap
2023-01-11T22:11:39.2315308Z [       OK ] IRTest.OperatorMap (0 ms)
2023-01-11T22:11:39.2315735Z [----------] 4 tests from IRTest (0 ms total)
2023-01-11T22:11:39.2315926Z 
2023-01-11T22:11:39.2316123Z [----------] 21 tests from IRParserTest
2023-01-11T22:11:39.2316453Z [ RUN      ] IRParserTest.Basic
2023-01-11T22:11:39.2316759Z [       OK ] IRParserTest.Basic (0 ms)
2023-01-11T22:11:39.2317170Z [ RUN      ] IRParserTest.NestedBlock
2023-01-11T22:11:39.2317609Z [       OK ] IRParserTest.NestedBlock (0 ms)
2023-01-11T22:11:39.2317959Z [ RUN      ] IRParserTest.If
2023-01-11T22:11:39.2318390Z [       OK ] IRParserTest.If (0 ms)
2023-01-11T22:11:39.2318932Z [ RUN      ] IRParserTest.If2
2023-01-11T22:11:39.2319368Z [       OK ] IRParserTest.If2 (0 ms)
2023-01-11T22:11:39.2319781Z [ RUN      ] IRParserTest.InferredTypeIsTensor
2023-01-11T22:11:39.2320306Z [       OK ] IRParserTest.InferredTypeIsTensor (0 ms)
2023-01-11T22:11:39.2320889Z [ RUN      ] IRParserTest.ValueReuse
2023-01-11T22:11:39.2321328Z [       OK ] IRParserTest.ValueReuse (0 ms)
2023-01-11T22:11:39.2321716Z [ RUN      ] IRParserTest.Attributes
2023-01-11T22:11:39.2322071Z [       OK ] IRParserTest.Attributes (0 ms)
2023-01-11T22:11:39.2322411Z [ RUN      ] IRParserTest.OptionalTypes
2023-01-11T22:11:39.2322857Z [       OK ] IRParserTest.OptionalTypes (0 ms)
2023-01-11T22:11:39.2323613Z [ RUN      ] IRParserTest.StarTensor
2023-01-11T22:11:39.2324136Z [       OK ] IRParserTest.StarTensor (0 ms)
2023-01-11T22:11:39.2324522Z [ RUN      ] IRParserTest.UnshapedTensor
2023-01-11T22:11:39.2324920Z [       OK ] IRParserTest.UnshapedTensor (0 ms)
2023-01-11T22:11:39.2325383Z [ RUN      ] IRParserTest.ShapedTensor
2023-01-11T22:11:39.2325873Z [       OK ] IRParserTest.ShapedTensor (0 ms)
2023-01-11T22:11:39.2326402Z [ RUN      ] IRParserTest.NestedContrainer
2023-01-11T22:11:39.2326989Z [       OK ] IRParserTest.NestedContrainer (0 ms)
2023-01-11T22:11:39.2327522Z [ RUN      ] IRParserTest.MalformedShapeAnnotation
2023-01-11T22:11:39.2327910Z [       OK ] IRParserTest.MalformedShapeAnnotation (0 ms)
2023-01-11T22:11:39.2328218Z [ RUN      ] IRParserTest.FileCheck
2023-01-11T22:11:39.2328506Z [       OK ] IRParserTest.FileCheck (0 ms)
2023-01-11T22:11:39.2328783Z [ RUN      ] IRParserTest.Strides
2023-01-11T22:11:39.2329049Z [       OK ] IRParserTest.Strides (0 ms)
2023-01-11T22:11:39.2329347Z [ RUN      ] IRParserTest.MalformedStrides
2023-01-11T22:11:39.2329674Z [       OK ] IRParserTest.MalformedStrides (0 ms)
2023-01-11T22:11:39.2329964Z [ RUN      ] IRParserTest.TensorShapes
2023-01-11T22:11:39.2330269Z [       OK ] IRParserTest.TensorShapes (0 ms)
2023-01-11T22:11:39.2330611Z [ RUN      ] IRParserTest.DeviceAndRequiresGradTensors
2023-01-11T22:11:39.2330986Z [       OK ] IRParserTest.DeviceAndRequiresGradTensors (0 ms)
2023-01-11T22:11:39.2331325Z [ RUN      ] IRParserTest.ListConstant
2023-01-11T22:11:39.2331624Z [       OK ] IRParserTest.ListConstant (0 ms)
2023-01-11T22:11:39.2331935Z [ RUN      ] IRParserTest.PartialStarTensor
2023-01-11T22:11:39.2332250Z [       OK ] IRParserTest.PartialStarTensor (0 ms)
2023-01-11T22:11:39.2332589Z [ RUN      ] IRParserTest.ComplexTensorAttributes
2023-01-11T22:11:39.2332944Z [       OK ] IRParserTest.ComplexTensorAttributes (0 ms)
2023-01-11T22:11:39.2333280Z [----------] 21 tests from IRParserTest (1 ms total)
2023-01-11T22:11:39.2333433Z 
2023-01-11T22:11:39.2333580Z [----------] 2 tests from JitTypeTest
2023-01-11T22:11:39.2333855Z [ RUN      ] JitTypeTest.IsComplete
2023-01-11T22:11:39.2334132Z [       OK ] JitTypeTest.IsComplete (0 ms)
2023-01-11T22:11:39.2334416Z [ RUN      ] JitTypeTest.UnifyTypes
2023-01-11T22:11:39.2334699Z [       OK ] JitTypeTest.UnifyTypes (0 ms)
2023-01-11T22:11:39.2335008Z [----------] 2 tests from JitTypeTest (0 ms total)
2023-01-11T22:11:39.2335142Z 
2023-01-11T22:11:39.2335308Z [----------] 42 tests from LiteInterpreterTest
2023-01-11T22:11:39.2335642Z [ RUN      ] LiteInterpreterTest.UpsampleNearest2d
2023-01-11T22:11:39.2339087Z [       OK ] LiteInterpreterTest.UpsampleNearest2d (1 ms)
2023-01-11T22:11:39.2339534Z [ RUN      ] LiteInterpreterTest.CheckAttrAccess
2023-01-11T22:11:39.2340604Z [       OK ] LiteInterpreterTest.CheckAttrAccess (0 ms)
2023-01-11T22:11:39.2341133Z [ RUN      ] LiteInterpreterTest.MethodInvocation
2023-01-11T22:11:39.2366848Z [       OK ] LiteInterpreterTest.MethodInvocation (2 ms)
2023-01-11T22:11:39.2367224Z [ RUN      ] LiteInterpreterTest.Conv
2023-01-11T22:11:39.2391181Z [       OK ] LiteInterpreterTest.Conv (2 ms)
2023-01-11T22:11:39.2391589Z [ RUN      ] LiteInterpreterTest.Inline
2023-01-11T22:11:39.2401359Z [       OK ] LiteInterpreterTest.Inline (0 ms)
2023-01-11T22:11:39.2401731Z [ RUN      ] LiteInterpreterTest.Tuple
2023-01-11T22:11:39.2408429Z [       OK ] LiteInterpreterTest.Tuple (0 ms)
2023-01-11T22:11:39.2408882Z [ RUN      ] LiteInterpreterTest.AtenFormat
2023-01-11T22:11:39.2414875Z [       OK ] LiteInterpreterTest.AtenFormat (0 ms)
2023-01-11T22:11:39.2415325Z [ RUN      ] LiteInterpreterTest.PrimDevice
2023-01-11T22:11:39.2418758Z [       OK ] LiteInterpreterTest.PrimDevice (0 ms)
2023-01-11T22:11:39.2419308Z [ RUN      ] LiteInterpreterTest.Dict
2023-01-11T22:11:39.2425625Z [       OK ] LiteInterpreterTest.Dict (0 ms)
2023-01-11T22:11:39.2425961Z [ RUN      ] LiteInterpreterTest.List
2023-01-11T22:11:39.2434329Z [       OK ] LiteInterpreterTest.List (0 ms)
2023-01-11T22:11:39.2434655Z [ RUN      ] LiteInterpreterTest.PrimOverload
2023-01-11T22:11:39.2435016Z [       OK ] LiteInterpreterTest.PrimOverload (0 ms)
2023-01-11T22:11:39.2435337Z [ RUN      ] LiteInterpreterTest.Prim
2023-01-11T22:11:39.2438971Z [       OK ] LiteInterpreterTest.Prim (0 ms)
2023-01-11T22:11:39.2439332Z [ RUN      ] LiteInterpreterTest.PrimScalar
2023-01-11T22:11:39.2444108Z [       OK ] LiteInterpreterTest.PrimScalar (0 ms)
2023-01-11T22:11:39.2444461Z [ RUN      ] LiteInterpreterTest.LoadOrigJit
2023-01-11T22:11:39.2497224Z [       OK ] LiteInterpreterTest.LoadOrigJit (5 ms)
2023-01-11T22:11:39.2497586Z [ RUN      ] LiteInterpreterTest.WrongMethodName
2023-01-11T22:11:39.2513348Z [       OK ] LiteInterpreterTest.WrongMethodName (1 ms)
2023-01-11T22:11:39.2513680Z [ RUN      ] LiteInterpreterTest.SetState
2023-01-11T22:11:39.2538680Z [       OK ] LiteInterpreterTest.SetState (2 ms)
2023-01-11T22:11:39.2539041Z [ RUN      ] LiteInterpreterTest.BuiltinClass
2023-01-11T22:11:39.2547025Z [       OK ] LiteInterpreterTest.BuiltinClass (0 ms)
2023-01-11T22:11:39.2547411Z [ RUN      ] LiteInterpreterTest.BuiltinFunction
2023-01-11T22:11:39.2551408Z [       OK ] LiteInterpreterTest.BuiltinFunction (0 ms)
2023-01-11T22:11:39.2552034Z [ RUN      ] LiteInterpreterTest.GetRuntimeByteCodeVersion
2023-01-11T22:11:39.2552530Z [       OK ] LiteInterpreterTest.GetRuntimeByteCodeVersion (0 ms)
2023-01-11T22:11:39.2553014Z [ RUN      ] LiteInterpreterTest.GetRuntimeOperatorsVersion
2023-01-11T22:11:39.2553444Z [       OK ] LiteInterpreterTest.GetRuntimeOperatorsVersion (0 ms)
2023-01-11T22:11:39.2553844Z [ RUN      ] LiteInterpreterTest.GetByteCodeVersion
2023-01-11T22:11:39.2554294Z [       OK ] LiteInterpreterTest.GetByteCodeVersion (0 ms)
2023-01-11T22:11:39.2554813Z [ RUN      ] LiteInterpreterTest.GetContainTypes
2023-01-11T22:11:39.2555683Z [       OK ] LiteInterpreterTest.GetContainTypes (0 ms)
2023-01-11T22:11:39.2556407Z [ RUN      ] LiteInterpreterTest.BackPortByteCodeModelAllVersions
2023-01-11T22:11:39.3408331Z [       OK ] LiteInterpreterTest.BackPortByteCodeModelAllVersions (85 ms)
2023-01-11T22:11:39.3408973Z [ RUN      ] LiteInterpreterTest.GetRuntimeOpsAndInfo
2023-01-11T22:11:39.3472663Z [       OK ] LiteInterpreterTest.GetRuntimeOpsAndInfo (6 ms)
2023-01-11T22:11:39.3473201Z [ RUN      ] LiteInterpreterTest.isCompatibleSuccess
2023-01-11T22:11:39.3529254Z [       OK ] LiteInterpreterTest.isCompatibleSuccess (5 ms)
2023-01-11T22:11:39.3530200Z [ RUN      ] LiteInterpreterTest.isCompatibleFail
2023-01-11T22:11:39.3623172Z [       OK ] LiteInterpreterTest.isCompatibleFail (9 ms)
2023-01-11T22:11:39.3623764Z [ RUN      ] LiteInterpreterTest.Eval
2023-01-11T22:11:39.3634289Z [       OK ] LiteInterpreterTest.Eval (1 ms)
2023-01-11T22:11:39.3634893Z [ RUN      ] LiteInterpreterTest.FindWrongMethodName
2023-01-11T22:11:39.3639574Z [       OK ] LiteInterpreterTest.FindWrongMethodName (0 ms)
2023-01-11T22:11:39.3640186Z [ RUN      ] LiteInterpreterTest.FindAndRunMethod
2023-01-11T22:11:39.3647783Z [       OK ] LiteInterpreterTest.FindAndRunMethod (0 ms)
2023-01-11T22:11:39.3648192Z [ RUN      ] LiteInterpreterTest.RunMethodVariadic
2023-01-11T22:11:39.3654651Z [       OK ] LiteInterpreterTest.RunMethodVariadic (0 ms)
2023-01-11T22:11:39.3655091Z [ RUN      ] LiteInterpreterTest.DuplicateSetState
2023-01-11T22:11:39.3665311Z [       OK ] LiteInterpreterTest.DuplicateSetState (1 ms)
2023-01-11T22:11:39.3665668Z [ RUN      ] LiteInterpreterTest.ExtraFiles
2023-01-11T22:11:39.3670525Z [       OK ] LiteInterpreterTest.ExtraFiles (0 ms)
2023-01-11T22:11:39.3670914Z [ RUN      ] LiteInterpreterTest.OpNameExportFetchRootOperators
2023-01-11T22:11:39.3680104Z [       OK ] LiteInterpreterTest.OpNameExportFetchRootOperators (0 ms)
2023-01-11T22:11:39.3680517Z [ RUN      ] LiteInterpreterTest.DefaultArgsConv
2023-01-11T22:11:39.3693164Z [       OK ] LiteInterpreterTest.DefaultArgsConv (1 ms)
2023-01-11T22:11:39.3693515Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinv
2023-01-11T22:11:39.3740506Z [       OK ] LiteInterpreterTest.DefaultArgsPinv (4 ms)
2023-01-11T22:11:39.3740935Z [ RUN      ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault
2023-01-11T22:11:39.3751980Z [       OK ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault (1 ms)
2023-01-11T22:11:39.3752419Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinvWithOutArg
2023-01-11T22:11:39.3771971Z [       OK ] LiteInterpreterTest.DefaultArgsPinvWithOutArg (1 ms)
2023-01-11T22:11:39.3772561Z [ RUN      ] LiteInterpreterTest.DefaultArgsWithOutArg
2023-01-11T22:11:39.3780221Z [       OK ] LiteInterpreterTest.DefaultArgsWithOutArg (0 ms)
2023-01-11T22:11:39.3780950Z [ RUN      ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy
2023-01-11T22:11:39.3875470Z [       OK ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy (9 ms)
2023-01-11T22:11:39.3876130Z [ RUN      ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs
2023-01-11T22:11:39.3909582Z [       OK ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs (3 ms)
2023-01-11T22:11:39.3910107Z [ RUN      ] LiteInterpreterTest.OperatorSize1
2023-01-11T22:11:39.3914249Z [       OK ] LiteInterpreterTest.OperatorSize1 (0 ms)
2023-01-11T22:11:39.3914824Z [ RUN      ] LiteInterpreterTest.OperatorTest2
2023-01-11T22:11:39.3931519Z [       OK ] LiteInterpreterTest.OperatorTest2 (1 ms)
2023-01-11T22:11:39.3932196Z [----------] 42 tests from LiteInterpreterTest (160 ms total)
2023-01-11T22:11:39.3932506Z 
2023-01-11T22:11:39.3932758Z [----------] 3 tests from RunTimeTest
2023-01-11T22:11:39.3933216Z [ RUN      ] RunTimeTest.ParseBytecode
2023-01-11T22:11:39.3933751Z [       OK ] RunTimeTest.ParseBytecode (0 ms)
2023-01-11T22:11:39.3934290Z [ RUN      ] RunTimeTest.ParseOperator
2023-01-11T22:11:39.3934845Z [       OK ] RunTimeTest.ParseOperator (0 ms)
2023-01-11T22:11:39.3935322Z [ RUN      ] RunTimeTest.RuntimeCall
2023-01-11T22:11:39.3935866Z [       OK ] RunTimeTest.RuntimeCall (0 ms)
2023-01-11T22:11:39.3936427Z [----------] 3 tests from RunTimeTest (0 ms total)
2023-01-11T22:11:39.3936705Z 
2023-01-11T22:11:39.3937234Z [----------] 11 tests from LiteInterpreterUpgraderTest
2023-01-11T22:11:39.3937689Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorV2
2023-01-11T22:11:39.3938193Z [       OK ] LiteInterpreterUpgraderTest.DivTensorV2 (0 ms)
2023-01-11T22:11:39.3938863Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorOutV2
2023-01-11T22:11:39.3939479Z [       OK ] LiteInterpreterUpgraderTest.DivTensorOutV2 (0 ms)
2023-01-11T22:11:39.3939986Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorInplaceV2
2023-01-11T22:11:39.3940463Z [       OK ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 (0 ms)
2023-01-11T22:11:39.3940961Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarFloatV2
2023-01-11T22:11:39.3941427Z [       OK ] LiteInterpreterUpgraderTest.DivScalarFloatV2 (0 ms)
2023-01-11T22:11:39.3941952Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2
2023-01-11T22:11:39.3942317Z expect output:  0.5000
2023-01-11T22:11:39.3942525Z [ CPUFloatType{1} ]actual output:  0.5000
2023-01-11T22:11:39.3943068Z [ CPUFloatType{1} ][       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2023-01-11T22:11:39.3943731Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2
2023-01-11T22:11:39.3944222Z [       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2023-01-11T22:11:39.3944783Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarScalarV2
2023-01-11T22:11:39.3945358Z [       OK ] LiteInterpreterUpgraderTest.DivScalarScalarV2 (0 ms)
2023-01-11T22:11:39.3945768Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarIntV2
2023-01-11T22:11:39.3946156Z [       OK ] LiteInterpreterUpgraderTest.DivScalarIntV2 (0 ms)
2023-01-11T22:11:39.3946760Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2
2023-01-11T22:11:39.3947485Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2023-01-11T22:11:39.3948138Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2
2023-01-11T22:11:39.3948945Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2023-01-11T22:11:39.3949434Z [ RUN      ] LiteInterpreterUpgraderTest.Upgrader
2023-01-11T22:11:39.3949802Z [       OK ] LiteInterpreterUpgraderTest.Upgrader (0 ms)
2023-01-11T22:11:39.3950191Z [----------] 11 tests from LiteInterpreterUpgraderTest (1 ms total)
2023-01-11T22:11:39.3950376Z 
2023-01-11T22:11:39.3950564Z [----------] 29 tests from LiteInterpreterDirectTest
2023-01-11T22:11:39.3950936Z [ RUN      ] LiteInterpreterDirectTest.UpsampleNearest2d
2023-01-11T22:11:39.3958629Z [       OK ] LiteInterpreterDirectTest.UpsampleNearest2d (0 ms)
2023-01-11T22:11:39.3959044Z [ RUN      ] LiteInterpreterDirectTest.CheckAttrAccess
2023-01-11T22:11:39.3959446Z [       OK ] LiteInterpreterDirectTest.CheckAttrAccess (0 ms)
2023-01-11T22:11:39.3959841Z [ RUN      ] LiteInterpreterDirectTest.MethodInvocation
2023-01-11T22:11:39.3964458Z hello 
2023-01-11T22:11:39.3964629Z hello 3
2023-01-11T22:11:39.3971521Z hello 
2023-01-11T22:11:39.3971855Z hello 3
2023-01-11T22:11:39.3976865Z hello 
2023-01-11T22:11:39.3977410Z hello 3
2023-01-11T22:11:39.3977857Z [       OK ] LiteInterpreterDirectTest.MethodInvocation (1 ms)
2023-01-11T22:11:39.3978243Z [ RUN      ] LiteInterpreterDirectTest.Conv
2023-01-11T22:11:39.3989702Z [       OK ] LiteInterpreterDirectTest.Conv (1 ms)
2023-01-11T22:11:39.3990029Z [ RUN      ] LiteInterpreterDirectTest.Inline
2023-01-11T22:11:39.3996764Z [       OK ] LiteInterpreterDirectTest.Inline (0 ms)
2023-01-11T22:11:39.3997111Z [ RUN      ] LiteInterpreterDirectTest.Tuple
2023-01-11T22:11:39.4000894Z [       OK ] LiteInterpreterDirectTest.Tuple (0 ms)
2023-01-11T22:11:39.4001350Z [ RUN      ] LiteInterpreterDirectTest.Dict
2023-01-11T22:11:39.4005133Z [       OK ] LiteInterpreterDirectTest.Dict (0 ms)
2023-01-11T22:11:39.4005466Z [ RUN      ] LiteInterpreterDirectTest.Prim
2023-01-11T22:11:39.4007979Z [       OK ] LiteInterpreterDirectTest.Prim (0 ms)
2023-01-11T22:11:39.4008336Z [ RUN      ] LiteInterpreterDirectTest.PrimScalar
2023-01-11T22:11:39.4011442Z [       OK ] LiteInterpreterDirectTest.PrimScalar (0 ms)
2023-01-11T22:11:39.4011834Z [ RUN      ] LiteInterpreterDirectTest.WrongMethodName
2023-01-11T22:11:39.4025456Z [       OK ] LiteInterpreterDirectTest.WrongMethodName (1 ms)
2023-01-11T22:11:39.4025887Z [ RUN      ] LiteInterpreterDirectTest.SetState
2023-01-11T22:11:39.4042847Z [       OK ] LiteInterpreterDirectTest.SetState (1 ms)
2023-01-11T22:11:39.4043269Z [ RUN      ] LiteInterpreterDirectTest.BuiltinFunction
2023-01-11T22:11:39.4045976Z [       OK ] LiteInterpreterDirectTest.BuiltinFunction (0 ms)
2023-01-11T22:11:39.4046754Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion
2023-01-11T22:11:39.4047227Z [       OK ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion (0 ms)
2023-01-11T22:11:39.4047671Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion
2023-01-11T22:11:39.4048137Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion (0 ms)
2023-01-11T22:11:39.4048567Z [ RUN      ] LiteInterpreterDirectTest.GetByteCodeVersion
2023-01-11T22:11:39.4048962Z [       OK ] LiteInterpreterDirectTest.GetByteCodeVersion (0 ms)
2023-01-11T22:11:39.4049374Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo
2023-01-11T22:11:39.4094609Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo (4 ms)
2023-01-11T22:11:39.4095190Z [ RUN      ] LiteInterpreterDirectTest.Eval
2023-01-11T22:11:39.4100720Z [       OK ] LiteInterpreterDirectTest.Eval (0 ms)
2023-01-11T22:11:39.4101344Z [ RUN      ] LiteInterpreterDirectTest.FindWrongMethodName
2023-01-11T22:11:39.4103284Z [       OK ] LiteInterpreterDirectTest.FindWrongMethodName (0 ms)
2023-01-11T22:11:39.4103882Z [ RUN      ] LiteInterpreterDirectTest.FindAndRunMethod
2023-01-11T22:11:39.4108359Z [       OK ] LiteInterpreterDirectTest.FindAndRunMethod (0 ms)
2023-01-11T22:11:39.4108915Z [ RUN      ] LiteInterpreterDirectTest.RunMethodVariadic
2023-01-11T22:11:39.4125192Z [       OK ] LiteInterpreterDirectTest.RunMethodVariadic (0 ms)
2023-01-11T22:11:39.4126028Z [ RUN      ] LiteInterpreterDirectTest.DuplicateSetState
2023-01-11T22:11:39.4126462Z [       OK ] LiteInterpreterDirectTest.DuplicateSetState (0 ms)
2023-01-11T22:11:39.4126906Z [ RUN      ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators
2023-01-11T22:11:39.4127409Z [       OK ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators (0 ms)
2023-01-11T22:11:39.4127845Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsConv
2023-01-11T22:11:39.4132415Z [       OK ] LiteInterpreterDirectTest.DefaultArgsConv (0 ms)
2023-01-11T22:11:39.4132799Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinv
2023-01-11T22:11:39.4166684Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinv (3 ms)
2023-01-11T22:11:39.4167302Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault
2023-01-11T22:11:39.4174499Z [       OK ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault (0 ms)
2023-01-11T22:11:39.4174973Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg
2023-01-11T22:11:39.4193679Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg (1 ms)
2023-01-11T22:11:39.4194205Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsWithOutArg
2023-01-11T22:11:39.4199854Z [       OK ] LiteInterpreterDirectTest.DefaultArgsWithOutArg (0 ms)
2023-01-11T22:11:39.4200404Z [ RUN      ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy
2023-01-11T22:11:39.4290022Z [       OK ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy (8 ms)
2023-01-11T22:11:39.4290768Z [ RUN      ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs
2023-01-11T22:11:39.4309691Z [       OK ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs (1 ms)
2023-01-11T22:11:39.4310329Z [----------] 29 tests from LiteInterpreterDirectTest (35 ms total)
2023-01-11T22:11:39.4310517Z 
2023-01-11T22:11:39.4310678Z [----------] 7 tests from LiteTrainerTest
2023-01-11T22:11:39.4310972Z [ RUN      ] LiteTrainerTest.Params
2023-01-11T22:11:39.4408576Z [       OK ] LiteTrainerTest.Params (9 ms)
2023-01-11T22:11:39.4408881Z [ RUN      ] LiteTrainerTest.SGD
2023-01-11T22:11:39.4480365Z [       OK ] LiteTrainerTest.SGD (7 ms)
2023-01-11T22:11:39.4480856Z [ RUN      ] LiteTrainerTest.SequentialSampler
2023-01-11T22:11:39.4481460Z [       OK ] LiteTrainerTest.SequentialSampler (0 ms)
2023-01-11T22:11:39.4482249Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange
2023-01-11T22:11:39.4483168Z [       OK ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2023-01-11T22:11:39.4483900Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch
2023-01-11T22:11:39.4484406Z [       OK ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2023-01-11T22:11:39.4484842Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWell
2023-01-11T22:11:39.4485210Z [       OK ] LiteTrainerTest.RandomSamplerResetsWell (0 ms)
2023-01-11T22:11:39.4485623Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell
2023-01-11T22:11:39.4486083Z [       OK ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2023-01-11T22:11:39.4486482Z [----------] 7 tests from LiteTrainerTest (17 ms total)
2023-01-11T22:11:39.4486642Z 
2023-01-11T22:11:39.4486815Z [----------] 6 tests from MobileTest
2023-01-11T22:11:39.4487187Z [ RUN      ] MobileTest.SaveLoadParametersEmpty
2023-01-11T22:11:39.4488322Z [       OK ] MobileTest.SaveLoadParametersEmpty (0 ms)
2023-01-11T22:11:39.4488962Z [ RUN      ] MobileTest.SaveParametersDefaultsToZip
2023-01-11T22:11:39.4489506Z [       OK ] MobileTest.SaveParametersDefaultsToZip (0 ms)
2023-01-11T22:11:39.4489885Z [ RUN      ] MobileTest.SaveParametersCanUseFlatbuffer
2023-01-11T22:11:39.4490433Z [       OK ] MobileTest.SaveParametersCanUseFlatbuffer (0 ms)
2023-01-11T22:11:39.4490832Z [ RUN      ] MobileTest.SaveLoadParametersUsingFlatbuffers
2023-01-11T22:11:39.4491255Z [       OK ] MobileTest.SaveLoadParametersUsingFlatbuffers (0 ms)
2023-01-11T22:11:39.4491698Z [ RUN      ] MobileTest.LoadParametersUnexpectedFormatShouldThrow
2023-01-11T22:11:39.4508182Z [       OK ] MobileTest.LoadParametersUnexpectedFormatShouldThrow (1 ms)
2023-01-11T22:11:39.4508610Z [ RUN      ] MobileTest.LoadParametersEmptyDataShouldThrow
2023-01-11T22:11:39.4525942Z [       OK ] MobileTest.LoadParametersEmptyDataShouldThrow (1 ms)
2023-01-11T22:11:39.4526463Z [----------] 6 tests from MobileTest (4 ms total)
2023-01-11T22:11:39.4526623Z 
2023-01-11T22:11:39.4526762Z [----------] 1 test from MemoryDAGTest
2023-01-11T22:11:39.4527035Z [ RUN      ] MemoryDAGTest.Basic
2023-01-11T22:11:39.4527313Z [       OK ] MemoryDAGTest.Basic (0 ms)
2023-01-11T22:11:39.4527621Z [----------] 1 test from MemoryDAGTest (0 ms total)
2023-01-11T22:11:39.4527759Z 
2023-01-11T22:11:39.4527920Z [----------] 1 test from InternedStringsTest
2023-01-11T22:11:39.4528323Z [ RUN      ] InternedStringsTest.Basic
2023-01-11T22:11:39.4535008Z [       OK ] InternedStringsTest.Basic (0 ms)
2023-01-11T22:11:39.4535343Z [----------] 1 test from InternedStringsTest (0 ms total)
2023-01-11T22:11:39.4535513Z 
2023-01-11T22:11:39.4535673Z [----------] 1 test from FromQualStringTest
2023-01-11T22:11:39.4535964Z [ RUN      ] FromQualStringTest.Basic
2023-01-11T22:11:39.4546016Z [       OK ] FromQualStringTest.Basic (1 ms)
2023-01-11T22:11:39.4546495Z [----------] 1 test from FromQualStringTest (1 ms total)
2023-01-11T22:11:39.4546746Z 
2023-01-11T22:11:39.4547099Z [----------] 1 test from THNNConvTest
2023-01-11T22:11:39.4547568Z [ RUN      ] THNNConvTest.Basic
2023-01-11T22:11:39.4560947Z [       OK ] THNNConvTest.Basic (1 ms)
2023-01-11T22:11:39.4561587Z [----------] 1 test from THNNConvTest (1 ms total)
2023-01-11T22:11:39.4561779Z 
2023-01-11T22:11:39.4561972Z [----------] 1 test from ATenNativeBatchNormTest
2023-01-11T22:11:39.4562296Z [ RUN      ] ATenNativeBatchNormTest.Basic
2023-01-11T22:11:39.4572353Z [       OK ] ATenNativeBatchNormTest.Basic (1 ms)
2023-01-11T22:11:39.4572792Z [----------] 1 test from ATenNativeBatchNormTest (1 ms total)
2023-01-11T22:11:39.4572971Z 
2023-01-11T22:11:39.4573130Z [----------] 2 tests from CustomFusionTest
2023-01-11T22:11:39.4573486Z [ RUN      ] CustomFusionTest.Basic
2023-01-11T22:11:39.4574216Z [       OK ] CustomFusionTest.Basic (0 ms)
2023-01-11T22:11:39.4574569Z [ RUN      ] CustomFusionTest.NestedBlocks
2023-01-11T22:11:39.4576214Z [       OK ] CustomFusionTest.NestedBlocks (0 ms)
2023-01-11T22:11:39.4576574Z [----------] 2 tests from CustomFusionTest (0 ms total)
2023-01-11T22:11:39.4576781Z 
2023-01-11T22:11:39.4576937Z [----------] 1 test from ControlFlowTest
2023-01-11T22:11:39.4577217Z [ RUN      ] ControlFlowTest.Basic
2023-01-11T22:11:39.4584117Z [       OK ] ControlFlowTest.Basic (0 ms)
2023-01-11T22:11:39.4584692Z [----------] 1 test from ControlFlowTest (0 ms total)
2023-01-11T22:11:39.4584934Z 
2023-01-11T22:11:39.4585131Z [----------] 1 test from ProtoTest
2023-01-11T22:11:39.4585518Z [ RUN      ] ProtoTest.Basic
2023-01-11T22:11:39.4585840Z [       OK ] ProtoTest.Basic (0 ms)
2023-01-11T22:11:39.4586250Z [----------] 1 test from ProtoTest (0 ms total)
2023-01-11T22:11:39.4587154Z 
2023-01-11T22:11:39.4587423Z [----------] 9 tests from SchemaParserTest
2023-01-11T22:11:39.4587851Z [ RUN      ] SchemaParserTest.NestedArrays
2023-01-11T22:11:39.4588426Z [       OK ] SchemaParserTest.NestedArrays (0 ms)
2023-01-11T22:11:39.4588914Z [ RUN      ] SchemaParserTest.OutVariant
2023-01-11T22:11:39.4589312Z [       OK ] SchemaParserTest.OutVariant (0 ms)
2023-01-11T22:11:39.4589809Z [ RUN      ] SchemaParserTest.NamedReturns
2023-01-11T22:11:39.4590362Z [       OK ] SchemaParserTest.NamedReturns (0 ms)
2023-01-11T22:11:39.4590922Z [ RUN      ] SchemaParserTest.Futures
2023-01-11T22:11:39.4591262Z [       OK ] SchemaParserTest.Futures (0 ms)
2023-01-11T22:11:39.4591577Z [ RUN      ] SchemaParserTest.AnnotatedAliasSets
2023-01-11T22:11:39.4591951Z [       OK ] SchemaParserTest.AnnotatedAliasSets (0 ms)
2023-01-11T22:11:39.4592656Z [ RUN      ] SchemaParserTest.TensorListAnnotatedAliasSets
2023-01-11T22:11:39.4593175Z [       OK ] SchemaParserTest.TensorListAnnotatedAliasSets (0 ms)
2023-01-11T22:11:39.4593602Z [ RUN      ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet
2023-01-11T22:11:39.4594035Z [       OK ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet (0 ms)
2023-01-11T22:11:39.4594640Z [ RUN      ] SchemaParserTest.BeforeAfterSets
2023-01-11T22:11:39.4594973Z [       OK ] SchemaParserTest.BeforeAfterSets (0 ms)
2023-01-11T22:11:39.4595437Z [ RUN      ] SchemaParserTest.BeforeAfterSets2
2023-01-11T22:11:39.4595790Z [       OK ] SchemaParserTest.BeforeAfterSets2 (0 ms)
2023-01-11T22:11:39.4596129Z [----------] 9 tests from SchemaParserTest (0 ms total)
2023-01-11T22:11:39.4596292Z 
2023-01-11T22:11:39.4596463Z [----------] 2 tests from TopologicalIndexTest
2023-01-11T22:11:39.4596823Z [ RUN      ] TopologicalIndexTest.Basic
2023-01-11T22:11:39.4597182Z [       OK ] TopologicalIndexTest.Basic (0 ms)
2023-01-11T22:11:39.4597479Z [ RUN      ] TopologicalIndexTest.Reindex
2023-01-11T22:11:39.4597869Z [       OK ] TopologicalIndexTest.Reindex (0 ms)
2023-01-11T22:11:39.4598365Z [----------] 2 tests from TopologicalIndexTest (0 ms total)
2023-01-11T22:11:39.4598667Z 
2023-01-11T22:11:39.4598954Z [----------] 7 tests from RecordFunctionTest
2023-01-11T22:11:39.4599378Z [ RUN      ] RecordFunctionTest.TracedTestInputsOutputs
2023-01-11T22:11:39.4599787Z [       OK ] RecordFunctionTest.TracedTestInputsOutputs (0 ms)
2023-01-11T22:11:39.4600161Z [ RUN      ] RecordFunctionTest.SampledCallbacks
2023-01-11T22:11:39.4662930Z [       OK ] RecordFunctionTest.SampledCallbacks (6 ms)
2023-01-11T22:11:39.4663623Z [ RUN      ] RecordFunctionTest.RecordFunctionGuard
2023-01-11T22:11:39.4664025Z [       OK ] RecordFunctionTest.RecordFunctionGuard (0 ms)
2023-01-11T22:11:39.4664540Z [ RUN      ] RecordFunctionTest.Callbacks
2023-01-11T22:11:39.4665374Z [       OK ] RecordFunctionTest.Callbacks (0 ms)
2023-01-11T22:11:39.4665964Z [ RUN      ] RecordFunctionTest.ShouldRun
2023-01-11T22:11:39.4666400Z [       OK ] RecordFunctionTest.ShouldRun (0 ms)
2023-01-11T22:11:39.4666783Z [ RUN      ] RecordFunctionTest.Basic
2023-01-11T22:11:39.4667365Z [       OK ] RecordFunctionTest.Basic (0 ms)
2023-01-11T22:11:39.4667999Z [ RUN      ] RecordFunctionTest.OperatorNameOverload
2023-01-11T22:11:39.4668578Z [       OK ] RecordFunctionTest.OperatorNameOverload (0 ms)
2023-01-11T22:11:39.4669005Z [----------] 7 tests from RecordFunctionTest (7 ms total)
2023-01-11T22:11:39.4669175Z 
2023-01-11T22:11:39.4669469Z [----------] 1 test from ThreadLocalDebugInfoTest
2023-01-11T22:11:39.4670208Z [ RUN      ] ThreadLocalDebugInfoTest.Basic
2023-01-11T22:11:39.4670800Z [       OK ] ThreadLocalDebugInfoTest.Basic (0 ms)
2023-01-11T22:11:39.4671439Z [----------] 1 test from ThreadLocalDebugInfoTest (0 ms total)
2023-01-11T22:11:39.4671737Z 
2023-01-11T22:11:39.4672025Z [----------] 1 test from TestSymIntArrayRef
2023-01-11T22:11:39.4672587Z [ RUN      ] TestSymIntArrayRef.BasicConversion
2023-01-11T22:11:39.4673186Z [       OK ] TestSymIntArrayRef.BasicConversion (0 ms)
2023-01-11T22:11:39.4673840Z [----------] 1 test from TestSymIntArrayRef (0 ms total)
2023-01-11T22:11:39.4674160Z 
2023-01-11T22:11:39.4674439Z [----------] 4 tests from TestSymInt
2023-01-11T22:11:39.4674978Z [ RUN      ] TestSymInt.NarrowCopyWithSymbolicInt
2023-01-11T22:11:39.4675341Z [       OK ] TestSymInt.NarrowCopyWithSymbolicInt (0 ms)
2023-01-11T22:11:39.4675654Z [ RUN      ] TestSymInt.NarrowCopy
2023-01-11T22:11:39.4675940Z [       OK ] TestSymInt.NarrowCopy (0 ms)
2023-01-11T22:11:39.4676223Z [ RUN      ] TestSymInt.AddSymbolicInt
2023-01-11T22:11:39.4676525Z [       OK ] TestSymInt.AddSymbolicInt (0 ms)
2023-01-11T22:11:39.4676862Z [ RUN      ] TestSymInt.TestSymIntToSymNodeDispatch
2023-01-11T22:11:39.4677222Z [       OK ] TestSymInt.TestSymIntToSymNodeDispatch (0 ms)
2023-01-11T22:11:39.4677568Z [----------] 4 tests from TestSymInt (0 ms total)
2023-01-11T22:11:39.4677717Z 
2023-01-11T22:11:39.4677875Z [----------] 1 test from FallbackGraphsTest
2023-01-11T22:11:39.4678306Z [ RUN      ] FallbackGraphsTest.Basic
2023-01-11T22:11:39.4680980Z [       OK ] FallbackGraphsTest.Basic (0 ms)
2023-01-11T22:11:39.4681509Z [----------] 1 test from FallbackGraphsTest (0 ms total)
2023-01-11T22:11:39.4681792Z 
2023-01-11T22:11:39.4682070Z [----------] 1 test from NoneSchemaMatchTest
2023-01-11T22:11:39.4682510Z [ RUN      ] NoneSchemaMatchTest.Basic
2023-01-11T22:11:39.4683008Z [       OK ] NoneSchemaMatchTest.Basic (0 ms)
2023-01-11T22:11:39.4683343Z [----------] 1 test from NoneSchemaMatchTest (0 ms total)
2023-01-11T22:11:39.4683667Z 
2023-01-11T22:11:39.4683840Z [----------] 1 test from PassManagementTest
2023-01-11T22:11:39.4684121Z [ RUN      ] PassManagementTest.Basic
2023-01-11T22:11:39.4684431Z [       OK ] PassManagementTest.Basic (0 ms)
2023-01-11T22:11:39.4684760Z [----------] 1 test from PassManagementTest (0 ms total)
2023-01-11T22:11:39.4684921Z 
2023-01-11T22:11:39.4685064Z [----------] 5 tests from LoopPeelerTest
2023-01-11T22:11:39.4685388Z [ RUN      ] LoopPeelerTest.NoInductionVariableUse
2023-01-11T22:11:39.4686556Z [       OK ] LoopPeelerTest.NoInductionVariableUse (0 ms)
2023-01-11T22:11:39.4687233Z [ RUN      ] LoopPeelerTest.YesInductionVariableUse
2023-01-11T22:11:39.4689864Z [       OK ] LoopPeelerTest.YesInductionVariableUse (0 ms)
2023-01-11T22:11:39.4690530Z [ RUN      ] LoopPeelerTest.LoopWithTerminationCondition
2023-01-11T22:11:39.4694221Z [       OK ] LoopPeelerTest.LoopWithTerminationCondition (0 ms)
2023-01-11T22:11:39.4694735Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops
2023-01-11T22:11:39.4699860Z [       OK ] LoopPeelerTest.SimpleNestedLoops (0 ms)
2023-01-11T22:11:39.4700428Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops2
2023-01-11T22:11:39.4707800Z [       OK ] LoopPeelerTest.SimpleNestedLoops2 (0 ms)
2023-01-11T22:11:39.4708438Z [----------] 5 tests from LoopPeelerTest (2 ms total)
2023-01-11T22:11:39.4708630Z 
2023-01-11T22:11:39.4708775Z [----------] 1 test from JitTracing
2023-01-11T22:11:39.4709030Z [ RUN      ] JitTracing.Basic
2023-01-11T22:11:39.4851167Z [       OK ] JitTracing.Basic (14 ms)
2023-01-11T22:11:39.4851731Z [----------] 1 test from JitTracing (14 ms total)
2023-01-11T22:11:39.4851939Z 
2023-01-11T22:11:39.4852161Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest
2023-01-11T22:11:39.4852559Z [ RUN      ] InsertAndEliminateRedundantGuardsTest.Basic
2023-01-11T22:11:39.4856970Z [       OK ] InsertAndEliminateRedundantGuardsTest.Basic (0 ms)
2023-01-11T22:11:39.4857736Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest (0 ms total)
2023-01-11T22:11:39.4857944Z 
2023-01-11T22:11:39.4858107Z [----------] 1 test from InsertBailOutsTest
2023-01-11T22:11:39.4858400Z [ RUN      ] InsertBailOutsTest.Basic
2023-01-11T22:11:39.4866541Z [       OK ] InsertBailOutsTest.Basic (0 ms)
2023-01-11T22:11:39.4867134Z [----------] 1 test from InsertBailOutsTest (0 ms total)
2023-01-11T22:11:39.4867419Z 
2023-01-11T22:11:39.4867575Z [----------] 2 tests from ProfilerTest
2023-01-11T22:11:39.4867842Z [ RUN      ] ProfilerTest.Basic
2023-01-11T22:11:39.4976401Z [       OK ] ProfilerTest.Basic (10 ms)
2023-01-11T22:11:39.4976959Z [ RUN      ] ProfilerTest.OptionalProfiling
2023-01-11T22:11:39.4978533Z [       OK ] ProfilerTest.OptionalProfiling (0 ms)
2023-01-11T22:11:39.4979130Z [----------] 2 tests from ProfilerTest (11 ms total)
2023-01-11T22:11:39.4979419Z 
2023-01-11T22:11:39.4979633Z [----------] 2 tests from CallStackTest
2023-01-11T22:11:39.4979992Z [ RUN      ] CallStackTest.Basic
2023-01-11T22:11:39.4983825Z [       OK ] CallStackTest.Basic (0 ms)
2023-01-11T22:11:39.4984525Z [ RUN      ] CallStackTest.Caching
2023-01-11T22:11:39.4987343Z [       OK ] CallStackTest.Caching (0 ms)
2023-01-11T22:11:39.4987666Z [----------] 2 tests from CallStackTest (0 ms total)
2023-01-11T22:11:39.4987823Z 
2023-01-11T22:11:39.4987990Z [----------] 2 tests from InlinedCallStackTest
2023-01-11T22:11:39.4988307Z [ RUN      ] InlinedCallStackTest.BlockAnnotation
2023-01-11T22:11:39.4993764Z [       OK ] InlinedCallStackTest.BlockAnnotation (0 ms)
2023-01-11T22:11:39.4994213Z [ RUN      ] InlinedCallStackTest.SelfCallMethods
2023-01-11T22:11:39.5003031Z [       OK ] InlinedCallStackTest.SelfCallMethods (0 ms)
2023-01-11T22:11:39.5003777Z [----------] 2 tests from InlinedCallStackTest (1 ms total)
2023-01-11T22:11:39.5004109Z 
2023-01-11T22:11:39.5004387Z [----------] 1 test from AutogradSymbolsTest
2023-01-11T22:11:39.5004945Z [ RUN      ] AutogradSymbolsTest.Basic
2023-01-11T22:11:39.5005304Z [       OK ] AutogradSymbolsTest.Basic (0 ms)
2023-01-11T22:11:39.5005795Z [----------] 1 test from AutogradSymbolsTest (0 ms total)
2023-01-11T22:11:39.5006000Z 
2023-01-11T22:11:39.5006186Z [----------] 1 test from DefaultArgTypeHintingTest
2023-01-11T22:11:39.5006498Z [ RUN      ] DefaultArgTypeHintingTest.Basic
2023-01-11T22:11:39.5007176Z [       OK ] DefaultArgTypeHintingTest.Basic (0 ms)
2023-01-11T22:11:39.5007865Z [----------] 1 test from DefaultArgTypeHintingTest (0 ms total)
2023-01-11T22:11:39.5008177Z 
2023-01-11T22:11:39.5008454Z [----------] 5 tests from FuturesTest
2023-01-11T22:11:39.5008844Z [ RUN      ] FuturesTest.Basic
2023-01-11T22:11:39.5009299Z [       OK ] FuturesTest.Basic (0 ms)
2023-01-11T22:11:39.5009720Z [ RUN      ] FuturesTest.Error
2023-01-11T22:11:39.5014747Z [       OK ] FuturesTest.Error (0 ms)
2023-01-11T22:11:39.5015223Z [ RUN      ] FuturesTest.Then
2023-01-11T22:11:39.5015705Z [       OK ] FuturesTest.Then (0 ms)
2023-01-11T22:11:39.5016190Z [ RUN      ] FuturesTest.CollectAll
2023-01-11T22:11:39.5016690Z [       OK ] FuturesTest.CollectAll (0 ms)
2023-01-11T22:11:39.5017203Z [ RUN      ] FuturesTest.CollectAny
2023-01-11T22:11:39.5017735Z [       OK ] FuturesTest.CollectAny (0 ms)
2023-01-11T22:11:39.5018269Z [----------] 5 tests from FuturesTest (0 ms total)
2023-01-11T22:11:39.5018491Z 
2023-01-11T22:11:39.5018745Z [----------] 1 test from TLSFutureCallbacksTest
2023-01-11T22:11:39.5019231Z [ RUN      ] TLSFutureCallbacksTest.Basic
2023-01-11T22:11:39.5021679Z [       OK ] TLSFutureCallbacksTest.Basic (0 ms)
2023-01-11T22:11:39.5022336Z [----------] 1 test from TLSFutureCallbacksTest (0 ms total)
2023-01-11T22:11:39.5022592Z 
2023-01-11T22:11:39.5022799Z [----------] 1 test from ProfilerDisableInCallbackTest
2023-01-11T22:11:39.5023204Z [ RUN      ] ProfilerDisableInCallbackTest.Basic
2023-01-11T22:11:39.5023885Z [       OK ] ProfilerDisableInCallbackTest.Basic (0 ms)
2023-01-11T22:11:39.5024304Z [----------] 1 test from ProfilerDisableInCallbackTest (0 ms total)
2023-01-11T22:11:39.5024601Z 
2023-01-11T22:11:39.5024777Z [----------] 2 tests from RecordDebugHandles
2023-01-11T22:11:39.5025146Z [ RUN      ] RecordDebugHandles.Basic
2023-01-11T22:11:39.5025533Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:11:39.5027340Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:11:39.5028038Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:11:39.5028635Z [       OK ] RecordDebugHandles.Basic (0 ms)
2023-01-11T22:11:39.5029085Z [ RUN      ] RecordDebugHandles.ScopedCallbacks
2023-01-11T22:11:39.5029640Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:11:39.5033489Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:11:39.5034135Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:11:39.5035046Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:11:39.5038681Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:11:39.5039263Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:11:39.5039864Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2023-01-11T22:11:39.5045922Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:306] Completed Stage: Collection
2023-01-11T22:11:39.5046547Z STAGE:2023-01-11 22:11:39 16960:16960 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2023-01-11T22:11:39.5046960Z [       OK ] RecordDebugHandles.ScopedCallbacks (1 ms)
2023-01-11T22:11:39.5047368Z [----------] 2 tests from RecordDebugHandles (2 ms total)
2023-01-11T22:11:39.5047548Z 
2023-01-11T22:11:39.5047712Z [----------] 1 test from IValueKWargsTest
2023-01-11T22:11:39.5048009Z [ RUN      ] IValueKWargsTest.Basic
2023-01-11T22:11:39.5053160Z [       OK ] IValueKWargsTest.Basic (0 ms)
2023-01-11T22:11:39.5054124Z [----------] 1 test from IValueKWargsTest (0 ms total)
2023-01-11T22:11:39.5054406Z 
2023-01-11T22:11:39.5054667Z [----------] 1 test from ComputeFlopsTest
2023-01-11T22:11:39.5055139Z [ RUN      ] ComputeFlopsTest.Basic
2023-01-11T22:11:39.5055787Z [W util.cpp:501] Warning: Failed to compute flops for op aten::conv2d because both input and weight must be size 4. (function computeFlops)
2023-01-11T22:11:39.5056560Z [W util.cpp:516] Warning: Failed to compute flops for op aten::conv2d because stride must be size 2 and cannot be 0. (function computeFlops)
2023-01-11T22:11:39.5057405Z [W util.cpp:472] Warning: Calculating flops for aten::conv2d requires groups, padding, stride, dilation, input_size, and weight_size in saved arguments. (function computeFlops)
2023-01-11T22:11:39.5058273Z [W util.cpp:545] Warning: Calculating flops for aten::mm requires mat1_size and mat2_size in saved arguments. (function computeFlops)
2023-01-11T22:11:39.5058866Z [       OK ] ComputeFlopsTest.Basic (0 ms)
2023-01-11T22:11:39.5059209Z [----------] 1 test from ComputeFlopsTest (0 ms total)
2023-01-11T22:11:39.5059368Z 
2023-01-11T22:11:39.5059499Z [----------] 1 test from TestConstant
2023-01-11T22:11:39.5059776Z [ RUN      ] TestConstant.TensorGrad
2023-01-11T22:11:39.5060074Z [       OK ] TestConstant.TensorGrad (0 ms)
2023-01-11T22:11:39.5060389Z [----------] 1 test from TestConstant (0 ms total)
2023-01-11T22:11:39.5060525Z 
2023-01-11T22:11:39.5060668Z [----------] 1 test from TestMutation
2023-01-11T22:11:39.5060931Z [ RUN      ] TestMutation.Basic
2023-01-11T22:11:39.5061202Z [       OK ] TestMutation.Basic (0 ms)
2023-01-11T22:11:39.5061490Z [----------] 1 test from TestMutation (0 ms total)
2023-01-11T22:11:39.5061640Z 
2023-01-11T22:11:39.5061846Z [----------] 1 test from TestInplaceToFunctionalActivation
2023-01-11T22:11:39.5062219Z [ RUN      ] TestInplaceToFunctionalActivation.Basic
2023-01-11T22:11:39.5062586Z [       OK ] TestInplaceToFunctionalActivation.Basic (0 ms)
2023-01-11T22:11:39.5063001Z [----------] 1 test from TestInplaceToFunctionalActivation (0 ms total)
2023-01-11T22:11:39.5063197Z 
2023-01-11T22:11:39.5063361Z [----------] 1 test from TestRegisterShapeOp
2023-01-11T22:11:39.5063660Z [ RUN      ] TestRegisterShapeOp.Basic
2023-01-11T22:11:39.6250247Z [       OK ] TestRegisterShapeOp.Basic (119 ms)
2023-01-11T22:11:39.6250790Z [----------] 1 test from TestRegisterShapeOp (119 ms total)
2023-01-11T22:11:39.6250966Z 
2023-01-11T22:11:39.6251192Z [----------] 1 test from TestFunctionalToInplaceActivation
2023-01-11T22:11:39.6251570Z [ RUN      ] TestFunctionalToInplaceActivation.Basic
2023-01-11T22:11:39.6252019Z [       OK ] TestFunctionalToInplaceActivation.Basic (0 ms)
2023-01-11T22:11:39.6252435Z [----------] 1 test from TestFunctionalToInplaceActivation (0 ms total)
2023-01-11T22:11:39.6252629Z 
2023-01-11T22:11:39.6252800Z [----------] 2 tests from TestFunctionExecutor
2023-01-11T22:11:39.6253139Z [ RUN      ] TestFunctionExecutor.SimpleExecutorTest
2023-01-11T22:11:39.6255254Z [       OK ] TestFunctionExecutor.SimpleExecutorTest (0 ms)
2023-01-11T22:11:39.6255648Z [ RUN      ] TestFunctionExecutor.RunDecompositionTest
2023-01-11T22:11:39.6273038Z [       OK ] TestFunctionExecutor.RunDecompositionTest (1 ms)
2023-01-11T22:11:39.6273512Z [----------] 2 tests from TestFunctionExecutor (2 ms total)
2023-01-11T22:11:39.6273690Z 
2023-01-11T22:11:39.6273871Z [----------] 1 test from TestShapeGraphLinting
2023-01-11T22:11:39.6274265Z [ RUN      ] TestShapeGraphLinting.Basic
2023-01-11T22:11:39.6278694Z [       OK ] TestShapeGraphLinting.Basic (0 ms)
2023-01-11T22:11:39.6279319Z [----------] 1 test from TestShapeGraphLinting (0 ms total)
2023-01-11T22:11:39.6279601Z 
2023-01-11T22:11:39.6279745Z [----------] 1 test from Composed
2023-01-11T22:11:39.6280014Z [ RUN      ] Composed.ComposedOp
2023-01-11T22:11:39.9262566Z [       OK ] Composed.ComposedOp (298 ms)
2023-01-11T22:11:39.9262975Z [----------] 1 test from Composed (298 ms total)
2023-01-11T22:11:39.9263131Z 
2023-01-11T22:11:39.9263376Z [----------] 1 test from ConstantPropagation
2023-01-11T22:11:39.9263754Z [ RUN      ] ConstantPropagation.CustomClassesCanBePropagated
2023-01-11T22:11:39.9266814Z [       OK ] ConstantPropagation.CustomClassesCanBePropagated (0 ms)
2023-01-11T22:11:39.9267490Z [----------] 1 test from ConstantPropagation (0 ms total)
2023-01-11T22:11:39.9267765Z 
2023-01-11T22:11:39.9268056Z [----------] 19 tests from MobileTypeParserTest
2023-01-11T22:11:39.9268567Z [ RUN      ] MobileTypeParserTest.Int
2023-01-11T22:11:39.9269108Z [       OK ] MobileTypeParserTest.Int (0 ms)
2023-01-11T22:11:39.9269631Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStr
2023-01-11T22:11:39.9270086Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStr (0 ms)
2023-01-11T22:11:39.9270469Z [ RUN      ] MobileTypeParserTest.TorchBindClass
2023-01-11T22:11:39.9270826Z [       OK ] MobileTypeParserTest.TorchBindClass (0 ms)
2023-01-11T22:11:39.9271204Z [ RUN      ] MobileTypeParserTest.ListOfTorchBindClass
2023-01-11T22:11:39.9271583Z [       OK ] MobileTypeParserTest.ListOfTorchBindClass (0 ms)
2023-01-11T22:11:39.9272043Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces
2023-01-11T22:11:39.9272567Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces (0 ms)
2023-01-11T22:11:39.9272988Z [ RUN      ] MobileTypeParserTest.NamedTuple
2023-01-11T22:11:39.9273316Z [       OK ] MobileTypeParserTest.NamedTuple (0 ms)
2023-01-11T22:11:39.9273705Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeList
2023-01-11T22:11:39.9274235Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeList (0 ms)
2023-01-11T22:11:39.9274690Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList
2023-01-11T22:11:39.9275176Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList (0 ms)
2023-01-11T22:11:39.9275753Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTuple
2023-01-11T22:11:39.9276189Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTuple (0 ms)
2023-01-11T22:11:39.9276535Z [ RUN      ] MobileTypeParserTest.Empty
2023-01-11T22:11:39.9299395Z [       OK ] MobileTypeParserTest.Empty (3 ms)
2023-01-11T22:11:39.9299780Z [ RUN      ] MobileTypeParserTest.TypoRaises
2023-01-11T22:11:39.9333747Z [       OK ] MobileTypeParserTest.TypoRaises (3 ms)
2023-01-11T22:11:39.9334134Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises
2023-01-11T22:11:39.9367621Z [       OK ] MobileTypeParserTest.MismatchBracketRaises (3 ms)
2023-01-11T22:11:39.9368030Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises2
2023-01-11T22:11:39.9401291Z [       OK ] MobileTypeParserTest.MismatchBracketRaises2 (3 ms)
2023-01-11T22:11:39.9401704Z [ RUN      ] MobileTypeParserTest.DictWithoutValueRaises
2023-01-11T22:11:39.9429602Z [       OK ] MobileTypeParserTest.DictWithoutValueRaises (2 ms)
2023-01-11T22:11:39.9430039Z [ RUN      ] MobileTypeParserTest.ListArgCountMismatchRaises
2023-01-11T22:11:39.9463606Z [       OK ] MobileTypeParserTest.ListArgCountMismatchRaises (3 ms)
2023-01-11T22:11:39.9464040Z [ RUN      ] MobileTypeParserTest.DictArgCountMismatchRaises
2023-01-11T22:11:39.9492101Z [       OK ] MobileTypeParserTest.DictArgCountMismatchRaises (2 ms)
2023-01-11T22:11:39.9492535Z [ RUN      ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises
2023-01-11T22:11:39.9509040Z [       OK ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises (1 ms)
2023-01-11T22:11:39.9509470Z [ RUN      ] MobileTypeParserTest.NonIdentifierRaises
2023-01-11T22:11:39.9526479Z [       OK ] MobileTypeParserTest.NonIdentifierRaises (1 ms)
2023-01-11T22:11:39.9526912Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises
2023-01-11T22:11:39.9566237Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises (3 ms)
2023-01-11T22:11:39.9566958Z [----------] 19 tests from MobileTypeParserTest (29 ms total)
2023-01-11T22:11:39.9567140Z 
2023-01-11T22:11:39.9567296Z [----------] 13 tests from ModuleAPITest
2023-01-11T22:11:39.9567581Z [ RUN      ] ModuleAPITest.MethodRunAsync
2023-01-11T22:11:39.9591086Z [       OK ] ModuleAPITest.MethodRunAsync (2 ms)
2023-01-11T22:11:39.9591873Z [ RUN      ] ModuleAPITest.Clone
2023-01-11T22:11:39.9592190Z [       OK ] ModuleAPITest.Clone (0 ms)
2023-01-11T22:11:39.9592522Z [ RUN      ] ModuleAPITest.CloneWithModuleInterface
2023-01-11T22:11:39.9599247Z [       OK ] ModuleAPITest.CloneWithModuleInterface (0 ms)
2023-01-11T22:11:39.9599753Z [ RUN      ] ModuleAPITest.Copy
2023-01-11T22:11:39.9600143Z [       OK ] ModuleAPITest.Copy (0 ms)
2023-01-11T22:11:39.9600604Z [ RUN      ] ModuleAPITest.DeepCopy
2023-01-11T22:11:39.9601083Z [       OK ] ModuleAPITest.DeepCopy (0 ms)
2023-01-11T22:11:39.9601491Z [ RUN      ] ModuleAPITest.DeepCopyString
2023-01-11T22:11:39.9601821Z [       OK ] ModuleAPITest.DeepCopyString (0 ms)
2023-01-11T22:11:39.9602131Z [ RUN      ] ModuleAPITest.DeepCopyEnum
2023-01-11T22:11:39.9602447Z [       OK ] ModuleAPITest.DeepCopyEnum (0 ms)
2023-01-11T22:11:39.9602780Z [ RUN      ] ModuleAPITest.DeepCopyPreservesAliasing
2023-01-11T22:11:39.9603164Z [       OK ] ModuleAPITest.DeepCopyPreservesAliasing (0 ms)
2023-01-11T22:11:39.9603676Z [ RUN      ] ModuleAPITest.Constants
2023-01-11T22:11:39.9603973Z [       OK ] ModuleAPITest.Constants (0 ms)
2023-01-11T22:11:39.9604270Z [ RUN      ] ModuleAPITest.Parameters
2023-01-11T22:11:39.9604573Z [       OK ] ModuleAPITest.Parameters (0 ms)
2023-01-11T22:11:39.9604989Z [ RUN      ] ModuleAPITest.Define
2023-01-11T22:11:39.9607088Z [       OK ] ModuleAPITest.Define (0 ms)
2023-01-11T22:11:39.9607466Z [ RUN      ] ModuleAPITest.Freezing
2023-01-11T22:11:39.9620660Z [       OK ] ModuleAPITest.Freezing (1 ms)
2023-01-11T22:11:39.9621009Z [ RUN      ] ModuleAPITest.OfiFreezesTraining
2023-01-11T22:11:39.9633216Z [       OK ] ModuleAPITest.OfiFreezesTraining (1 ms)
2023-01-11T22:11:39.9634053Z [----------] 13 tests from ModuleAPITest (6 ms total)
2023-01-11T22:11:39.9634350Z 
2023-01-11T22:11:39.9634657Z [----------] 6 tests from PeepholeOptimizeTest
2023-01-11T22:11:39.9635267Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot
2023-01-11T22:11:39.9635778Z [       OK ] PeepholeOptimizeTest.IsAndIsNot (0 ms)
2023-01-11T22:11:39.9636349Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot2
2023-01-11T22:11:39.9636977Z [       OK ] PeepholeOptimizeTest.IsAndIsNot2 (0 ms)
2023-01-11T22:11:39.9637479Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot3
2023-01-11T22:11:39.9638099Z [       OK ] PeepholeOptimizeTest.IsAndIsNot3 (0 ms)
2023-01-11T22:11:39.9638438Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional
2023-01-11T22:11:39.9639027Z [       OK ] PeepholeOptimizeTest.UnwrapOptional (0 ms)
2023-01-11T22:11:39.9639681Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional2
2023-01-11T22:11:39.9640043Z [       OK ] PeepholeOptimizeTest.UnwrapOptional2 (0 ms)
2023-01-11T22:11:39.9640392Z [ RUN      ] PeepholeOptimizeTest.AddMMFusion
2023-01-11T22:11:39.9640740Z [       OK ] PeepholeOptimizeTest.AddMMFusion (0 ms)
2023-01-11T22:11:39.9641100Z [----------] 6 tests from PeepholeOptimizeTest (0 ms total)
2023-01-11T22:11:39.9641270Z 
2023-01-11T22:11:39.9641430Z [----------] 5 tests from QualifiedNameTest
2023-01-11T22:11:39.9641752Z [ RUN      ] QualifiedNameTest.PrefixConstruction
2023-01-11T22:11:39.9642101Z [       OK ] QualifiedNameTest.PrefixConstruction (0 ms)
2023-01-11T22:11:39.9642455Z [ RUN      ] QualifiedNameTest.DottedConstruction
2023-01-11T22:11:39.9642809Z [       OK ] QualifiedNameTest.DottedConstruction (0 ms)
2023-01-11T22:11:39.9643151Z [ RUN      ] QualifiedNameTest.BadInputRaises
2023-01-11T22:11:39.9665048Z [       OK ] QualifiedNameTest.BadInputRaises (2 ms)
2023-01-11T22:11:39.9665656Z [ RUN      ] QualifiedNameTest.Equality
2023-01-11T22:11:39.9665999Z [       OK ] QualifiedNameTest.Equality (0 ms)
2023-01-11T22:11:39.9666294Z [ RUN      ] QualifiedNameTest.IsPrefixOf
2023-01-11T22:11:39.9666750Z [       OK ] QualifiedNameTest.IsPrefixOf (0 ms)
2023-01-11T22:11:39.9667111Z [----------] 5 tests from QualifiedNameTest (2 ms total)
2023-01-11T22:11:39.9667379Z 
2023-01-11T22:11:39.9667685Z [----------] 6 tests from SerializationTest
2023-01-11T22:11:39.9668161Z [ RUN      ] SerializationTest.ExtraFilesHookPreference
2023-01-11T22:11:39.9668641Z [W export_module.cpp:587] Warning: An extra files hook attempted to write metadata.json but this is already written in extra files and so will be skipped. This warning will only appear once per process. (function operator())
2023-01-11T22:11:39.9672780Z [       OK ] SerializationTest.ExtraFilesHookPreference (0 ms)
2023-01-11T22:11:39.9673445Z [ RUN      ] SerializationTest.ExtraFileHooksNoSecret
2023-01-11T22:11:39.9674182Z [       OK ] SerializationTest.ExtraFileHooksNoSecret (0 ms)
2023-01-11T22:11:39.9674755Z [ RUN      ] SerializationTest.ExtraFileHooksWithSecret
2023-01-11T22:11:39.9675447Z [       OK ] SerializationTest.ExtraFileHooksWithSecret (0 ms)
2023-01-11T22:11:39.9675929Z [ RUN      ] SerializationTest.TypeTags
2023-01-11T22:11:39.9690994Z [       OK ] SerializationTest.TypeTags (1 ms)
2023-01-11T22:11:39.9691719Z [ RUN      ] SerializationTest.ParentDirNotExist
2023-01-11T22:11:39.9768776Z [       OK ] SerializationTest.ParentDirNotExist (7 ms)
2023-01-11T22:11:39.9769364Z [ RUN      ] SerializationTest.CalculateNecessaryArgsTest
2023-01-11T22:11:39.9769788Z [       OK ] SerializationTest.CalculateNecessaryArgsTest (0 ms)
2023-01-11T22:11:39.9770176Z [----------] 6 tests from SerializationTest (10 ms total)
2023-01-11T22:11:39.9770468Z 
2023-01-11T22:11:39.9770625Z [----------] 3 tests from TestSourceRoundTrip
2023-01-11T22:11:39.9770965Z [ RUN      ] TestSourceRoundTrip.UpsampleNearest2d
2023-01-11T22:11:39.9783596Z [       OK ] TestSourceRoundTrip.UpsampleNearest2d (1 ms)
2023-01-11T22:11:39.9784105Z [ RUN      ] TestSourceRoundTrip.CheckAttrAccess
2023-01-11T22:11:39.9784464Z [       OK ] TestSourceRoundTrip.CheckAttrAccess (0 ms)
2023-01-11T22:11:39.9784878Z [ RUN      ] TestSourceRoundTrip.MethodInvocation
2023-01-11T22:11:39.9834236Z [       OK ] TestSourceRoundTrip.MethodInvocation (4 ms)
2023-01-11T22:11:39.9834604Z [----------] 3 tests from TestSourceRoundTrip (6 ms total)
2023-01-11T22:11:39.9834777Z 
2023-01-11T22:11:39.9834920Z [----------] 1 test from TestSaveLoad
2023-01-11T22:11:39.9835222Z [ RUN      ] TestSaveLoad.LoadWithoutDebugInfo
2023-01-11T22:11:39.9855427Z [       OK ] TestSaveLoad.LoadWithoutDebugInfo (2 ms)
2023-01-11T22:11:39.9856008Z [----------] 1 test from TestSaveLoad (2 ms total)
2023-01-11T22:11:39.9856174Z 
2023-01-11T22:11:39.9856368Z [----------] 2 tests from FunctionSchemaIsAliasingTest
2023-01-11T22:11:39.9856713Z [ RUN      ] FunctionSchemaIsAliasingTest.Basic
2023-01-11T22:11:39.9857065Z [       OK ] FunctionSchemaIsAliasingTest.Basic (0 ms)
2023-01-11T22:11:39.9857427Z [ RUN      ] FunctionSchemaIsAliasingTest.InvalidArgument
2023-01-11T22:11:39.9868199Z [       OK ] FunctionSchemaIsAliasingTest.InvalidArgument (1 ms)
2023-01-11T22:11:39.9868989Z [----------] 2 tests from FunctionSchemaIsAliasingTest (1 ms total)
2023-01-11T22:11:39.9869239Z 
2023-01-11T22:11:39.9869429Z [----------] 2 tests from FunctionSchemaIsMutableTest
2023-01-11T22:11:39.9869751Z [ RUN      ] FunctionSchemaIsMutableTest.Basic
2023-01-11T22:11:39.9870091Z [       OK ] FunctionSchemaIsMutableTest.Basic (0 ms)
2023-01-11T22:11:39.9870461Z [ RUN      ] FunctionSchemaIsMutableTest.InvalidArgument
2023-01-11T22:11:39.9886888Z [       OK ] FunctionSchemaIsMutableTest.InvalidArgument (1 ms)
2023-01-11T22:11:39.9887574Z [----------] 2 tests from FunctionSchemaIsMutableTest (1 ms total)
2023-01-11T22:11:39.9887781Z 
2023-01-11T22:11:39.9888038Z [----------] 5 tests from SchemaInfoIsMutableTest
2023-01-11T22:11:39.9888433Z [ RUN      ] SchemaInfoIsMutableTest.Basic
2023-01-11T22:11:39.9889018Z [       OK ] SchemaInfoIsMutableTest.Basic (0 ms)
2023-01-11T22:11:39.9889633Z [ RUN      ] SchemaInfoIsMutableTest.InvalidArgument
2023-01-11T22:11:39.9912447Z [       OK ] SchemaInfoIsMutableTest.InvalidArgument (2 ms)
2023-01-11T22:11:39.9913045Z [ RUN      ] SchemaInfoIsMutableTest.AliasingInputs
2023-01-11T22:11:39.9913653Z [       OK ] SchemaInfoIsMutableTest.AliasingInputs (0 ms)
2023-01-11T22:11:39.9914325Z [ RUN      ] SchemaInfoIsMutableTest.InstanceNorm
2023-01-11T22:11:39.9914841Z [       OK ] SchemaInfoIsMutableTest.InstanceNorm (0 ms)
2023-01-11T22:11:39.9915359Z [ RUN      ] SchemaInfoIsMutableTest.BatchNorm
2023-01-11T22:11:39.9915861Z [       OK ] SchemaInfoIsMutableTest.BatchNorm (0 ms)
2023-01-11T22:11:39.9916276Z [----------] 5 tests from SchemaInfoIsMutableTest (2 ms total)
2023-01-11T22:11:39.9916451Z 
2023-01-11T22:11:39.9916641Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest
2023-01-11T22:11:39.9917142Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Basic
2023-01-11T22:11:39.9917527Z [       OK ] SchemaInfoIsNonDeterministicTest.Basic (0 ms)
2023-01-11T22:11:39.9917903Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Dropout
2023-01-11T22:11:39.9918274Z [       OK ] SchemaInfoIsNonDeterministicTest.Dropout (0 ms)
2023-01-11T22:11:39.9918685Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest (0 ms total)
2023-01-11T22:11:39.9918931Z 
2023-01-11T22:11:39.9919118Z [----------] 3 tests from FunctionSchemaMayAliasTest
2023-01-11T22:11:39.9919445Z [ RUN      ] FunctionSchemaMayAliasTest.Basic
2023-01-11T22:11:39.9919773Z [       OK ] FunctionSchemaMayAliasTest.Basic (0 ms)
2023-01-11T22:11:39.9920135Z [ RUN      ] FunctionSchemaMayAliasTest.InvalidArgument
2023-01-11T22:11:39.9935177Z [       OK ] FunctionSchemaMayAliasTest.InvalidArgument (1 ms)
2023-01-11T22:11:39.9935973Z [ RUN      ] FunctionSchemaMayAliasTest.Wildcard
2023-01-11T22:11:39.9936602Z [       OK ] FunctionSchemaMayAliasTest.Wildcard (0 ms)
2023-01-11T22:11:39.9937242Z [----------] 3 tests from FunctionSchemaMayAliasTest (1 ms total)
2023-01-11T22:11:39.9937516Z 
2023-01-11T22:11:39.9937791Z [----------] 7 tests from SchemaInfoMayAliasTest
2023-01-11T22:11:39.9938407Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputs
2023-01-11T22:11:39.9939037Z [       OK ] SchemaInfoMayAliasTest.AliasingInputs (0 ms)
2023-01-11T22:11:39.9939704Z [ RUN      ] SchemaInfoMayAliasTest.AliasingOutputs
2023-01-11T22:11:39.9940376Z [       OK ] SchemaInfoMayAliasTest.AliasingOutputs (0 ms)
2023-01-11T22:11:39.9941082Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputOutput
2023-01-11T22:11:39.9941804Z [       OK ] SchemaInfoMayAliasTest.AliasingInputOutput (0 ms)
2023-01-11T22:11:39.9942525Z [ RUN      ] SchemaInfoMayAliasTest.MultipleWildcardInputs
2023-01-11T22:11:39.9943322Z [       OK ] SchemaInfoMayAliasTest.MultipleWildcardInputs (0 ms)
2023-01-11T22:11:39.9944002Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs
2023-01-11T22:11:39.9944439Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2023-01-11T22:11:39.9944908Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs (0 ms)
2023-01-11T22:11:39.9945342Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs
2023-01-11T22:11:39.9945757Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2023-01-11T22:11:39.9946237Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs (0 ms)
2023-01-11T22:11:39.9946627Z [ RUN      ] SchemaInfoMayAliasTest.MismatchingTypes
2023-01-11T22:11:39.9947004Z [       OK ] SchemaInfoMayAliasTest.MismatchingTypes (0 ms)
2023-01-11T22:11:39.9947555Z [----------] 7 tests from SchemaInfoMayAliasTest (0 ms total)
2023-01-11T22:11:39.9947776Z 
2023-01-11T22:11:39.9948096Z [----------] 3 tests from FunctionSchemaMayContainAliasTest
2023-01-11T22:11:39.9948476Z [ RUN      ] FunctionSchemaMayContainAliasTest.Basic
2023-01-11T22:11:39.9948851Z [       OK ] FunctionSchemaMayContainAliasTest.Basic (0 ms)
2023-01-11T22:11:39.9949231Z [ RUN      ] FunctionSchemaMayContainAliasTest.Wildcard
2023-01-11T22:11:39.9949612Z [       OK ] FunctionSchemaMayContainAliasTest.Wildcard (0 ms)
2023-01-11T22:11:39.9950060Z [ RUN      ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers
2023-01-11T22:11:39.9950563Z [       OK ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers (0 ms)
2023-01-11T22:11:39.9951017Z [----------] 3 tests from FunctionSchemaMayContainAliasTest (0 ms total)
2023-01-11T22:11:39.9951212Z 
2023-01-11T22:11:39.9951552Z [----------] 6 tests from SchemaInfoMayContainAliasTest
2023-01-11T22:11:39.9952115Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual
2023-01-11T22:11:39.9952590Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual (0 ms)
2023-01-11T22:11:39.9953055Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained
2023-01-11T22:11:39.9953606Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained (0 ms)
2023-01-11T22:11:39.9954062Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasOutputs
2023-01-11T22:11:39.9954569Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasOutputs (0 ms)
2023-01-11T22:11:39.9955005Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput
2023-01-11T22:11:39.9955470Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput (0 ms)
2023-01-11T22:11:39.9955935Z [ RUN      ] SchemaInfoMayContainAliasTest.InputAndOutputContainers
2023-01-11T22:11:39.9956397Z [       OK ] SchemaInfoMayContainAliasTest.InputAndOutputContainers (0 ms)
2023-01-11T22:11:39.9956810Z [ RUN      ] SchemaInfoMayContainAliasTest.Wildcard
2023-01-11T22:11:39.9957193Z [       OK ] SchemaInfoMayContainAliasTest.Wildcard (0 ms)
2023-01-11T22:11:39.9957585Z [----------] 6 tests from SchemaInfoMayContainAliasTest (0 ms total)
2023-01-11T22:11:39.9957760Z 
2023-01-11T22:11:39.9957919Z [----------] 2 tests from SchemaMatchingTest
2023-01-11T22:11:39.9958216Z [ RUN      ] SchemaMatchingTest.VarType
2023-01-11T22:11:39.9958521Z [       OK ] SchemaMatchingTest.VarType (0 ms)
2023-01-11T22:11:39.9958814Z [ RUN      ] SchemaMatchingTest.VarType2
2023-01-11T22:11:39.9959123Z [       OK ] SchemaMatchingTest.VarType2 (0 ms)
2023-01-11T22:11:39.9959453Z [----------] 2 tests from SchemaMatchingTest (0 ms total)
2023-01-11T22:11:39.9959613Z 
2023-01-11T22:11:39.9959760Z [----------] 6 tests from StackOptTest
2023-01-11T22:11:39.9960040Z [ RUN      ] StackOptTest.UseVariadicStack
2023-01-11T22:11:40.0059736Z [       OK ] StackOptTest.UseVariadicStack (10 ms)
2023-01-11T22:11:40.0060133Z [ RUN      ] StackOptTest.UseVariadicStackReplaceMultiple
2023-01-11T22:11:40.0113887Z [       OK ] StackOptTest.UseVariadicStackReplaceMultiple (5 ms)
2023-01-11T22:11:40.0114418Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListUses
2023-01-11T22:11:40.0139426Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListUses (2 ms)
2023-01-11T22:11:40.0139979Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationAfterCat
2023-01-11T22:11:40.0172159Z [       OK ] StackOptTest.UseVariadicStackWithListMutationAfterCat (3 ms)
2023-01-11T22:11:40.0172706Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationBeforeCat
2023-01-11T22:11:40.0217224Z [       OK ] StackOptTest.UseVariadicStackWithListMutationBeforeCat (4 ms)
2023-01-11T22:11:40.0217789Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListMutations
2023-01-11T22:11:40.0286607Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListMutations (6 ms)
2023-01-11T22:11:40.0287372Z [----------] 6 tests from StackOptTest (33 ms total)
2023-01-11T22:11:40.0287717Z 
2023-01-11T22:11:40.0288045Z [----------] 16 tests from SubgraphMatcherTest
2023-01-11T22:11:40.0288589Z [ RUN      ] SubgraphMatcherTest.Trivial1
2023-01-11T22:11:40.0289160Z [       OK ] SubgraphMatcherTest.Trivial1 (0 ms)
2023-01-11T22:11:40.0289624Z [ RUN      ] SubgraphMatcherTest.Trivial2
2023-01-11T22:11:40.0290157Z [       OK ] SubgraphMatcherTest.Trivial2 (0 ms)
2023-01-11T22:11:40.0290731Z [ RUN      ] SubgraphMatcherTest.Trivial3
2023-01-11T22:11:40.0291255Z [       OK ] SubgraphMatcherTest.Trivial3 (0 ms)
2023-01-11T22:11:40.0292074Z [ RUN      ] SubgraphMatcherTest.Trivial4
2023-01-11T22:11:40.0292482Z [       OK ] SubgraphMatcherTest.Trivial4 (0 ms)
2023-01-11T22:11:40.0292917Z [ RUN      ] SubgraphMatcherTest.Linear1
2023-01-11T22:11:40.0293494Z [       OK ] SubgraphMatcherTest.Linear1 (0 ms)
2023-01-11T22:11:40.0294019Z [ RUN      ] SubgraphMatcherTest.Linear2
2023-01-11T22:11:40.0294599Z [       OK ] SubgraphMatcherTest.Linear2 (0 ms)
2023-01-11T22:11:40.0295034Z [ RUN      ] SubgraphMatcherTest.Diamond1
2023-01-11T22:11:40.0295511Z [       OK ] SubgraphMatcherTest.Diamond1 (0 ms)
2023-01-11T22:11:40.0296053Z [ RUN      ] SubgraphMatcherTest.Diamond2
2023-01-11T22:11:40.0296485Z [       OK ] SubgraphMatcherTest.Diamond2 (0 ms)
2023-01-11T22:11:40.0296837Z [ RUN      ] SubgraphMatcherTest.XPattern
2023-01-11T22:11:40.0297198Z [       OK ] SubgraphMatcherTest.XPattern (0 ms)
2023-01-11T22:11:40.0297573Z [ RUN      ] SubgraphMatcherTest.MultipleMatches
2023-01-11T22:11:40.0297976Z [       OK ] SubgraphMatcherTest.MultipleMatches (0 ms)
2023-01-11T22:11:40.0298392Z [ RUN      ] SubgraphMatcherTest.OverlappingMatches
2023-01-11T22:11:40.0298821Z [       OK ] SubgraphMatcherTest.OverlappingMatches (0 ms)
2023-01-11T22:11:40.0299238Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks1
2023-01-11T22:11:40.0299684Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks1 (0 ms)
2023-01-11T22:11:40.0300116Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks2
2023-01-11T22:11:40.0300532Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks2 (0 ms)
2023-01-11T22:11:40.0300951Z [ RUN      ] SubgraphMatcherTest.MatchesAttributes
2023-01-11T22:11:40.0301370Z [       OK ] SubgraphMatcherTest.MatchesAttributes (0 ms)
2023-01-11T22:11:40.0301748Z [ RUN      ] SubgraphMatcherTest.BadPattern
2023-01-11T22:11:40.0320379Z [       OK ] SubgraphMatcherTest.BadPattern (2 ms)
2023-01-11T22:11:40.0320839Z [ RUN      ] SubgraphMatcherTest.MultiOutput
2023-01-11T22:11:40.0321419Z [       OK ] SubgraphMatcherTest.MultiOutput (0 ms)
2023-01-11T22:11:40.0321858Z [----------] 16 tests from SubgraphMatcherTest (3 ms total)
2023-01-11T22:11:40.0322046Z 
2023-01-11T22:11:40.0322238Z [----------] 4 tests from SubgraphRewriterTest
2023-01-11T22:11:40.0322638Z [ RUN      ] SubgraphRewriterTest.FilterMatch
2023-01-11T22:11:40.0323992Z [       OK ] SubgraphRewriterTest.FilterMatch (0 ms)
2023-01-11T22:11:40.0324327Z [ RUN      ] SubgraphRewriterTest.FilterNoMatch
2023-01-11T22:11:40.0324687Z [       OK ] SubgraphRewriterTest.FilterNoMatch (0 ms)
2023-01-11T22:11:40.0325027Z [ RUN      ] SubgraphRewriterTest.MultiOutput
2023-01-11T22:11:40.0328165Z [       OK ] SubgraphRewriterTest.MultiOutput (0 ms)
2023-01-11T22:11:40.0328557Z [ RUN      ] SubgraphRewriterTest.OutputType
2023-01-11T22:11:40.0329751Z [       OK ] SubgraphRewriterTest.OutputType (0 ms)
2023-01-11T22:11:40.0330153Z [----------] 4 tests from SubgraphRewriterTest (0 ms total)
2023-01-11T22:11:40.0330314Z 
2023-01-11T22:11:40.0330475Z [----------] 3 tests from SubgraphUtilsTest
2023-01-11T22:11:40.0330760Z [ RUN      ] SubgraphUtilsTest.Basic
2023-01-11T22:11:40.0333806Z [       OK ] SubgraphUtilsTest.Basic (0 ms)
2023-01-11T22:11:40.0334111Z [ RUN      ] SubgraphUtilsTest.MergeSubgraphs
2023-01-11T22:11:40.0336997Z [       OK ] SubgraphUtilsTest.MergeSubgraphs (0 ms)
2023-01-11T22:11:40.0337495Z [ RUN      ] SubgraphUtilsTest.GraphName
2023-01-11T22:11:40.0337912Z [       OK ] SubgraphUtilsTest.GraphName (0 ms)
2023-01-11T22:11:40.0338286Z [----------] 3 tests from SubgraphUtilsTest (0 ms total)
2023-01-11T22:11:40.0338448Z 
2023-01-11T22:11:40.0338791Z [----------] 8 tests from UnionTypeTest
2023-01-11T22:11:40.0339160Z [ RUN      ] UnionTypeTest.UnionOperatorEquals
2023-01-11T22:11:40.0339595Z [       OK ] UnionTypeTest.UnionOperatorEquals (0 ms)
2023-01-11T22:11:40.0340250Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2
2023-01-11T22:11:40.0340975Z [       OK ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 (0 ms)
2023-01-11T22:11:40.0341737Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalTAndT
2023-01-11T22:11:40.0342233Z [       OK ] UnionTypeTest.UnionCreate_OptionalTAndT (0 ms)
2023-01-11T22:11:40.0342620Z [ RUN      ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship
2023-01-11T22:11:40.0343046Z [       OK ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship (0 ms)
2023-01-11T22:11:40.0343426Z [ RUN      ] UnionTypeTest.UnionCreate_ContainerTAndT
2023-01-11T22:11:40.0343764Z [       OK ] UnionTypeTest.UnionCreate_ContainerTAndT (0 ms)
2023-01-11T22:11:40.0344169Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT
2023-01-11T22:11:40.0344618Z [       OK ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT (0 ms)
2023-01-11T22:11:40.0344983Z [ RUN      ] UnionTypeTest.Subtyping_NumberType
2023-01-11T22:11:40.0345319Z [       OK ] UnionTypeTest.Subtyping_NumberType (0 ms)
2023-01-11T22:11:40.0345653Z [ RUN      ] UnionTypeTest.Subtyping_OptionalType
2023-01-11T22:11:40.0345972Z [       OK ] UnionTypeTest.Subtyping_OptionalType (0 ms)
2023-01-11T22:11:40.0346302Z [----------] 8 tests from UnionTypeTest (0 ms total)
2023-01-11T22:11:40.0346455Z 
2023-01-11T22:11:40.0346613Z [----------] 2 tests from ScriptProfileTest
2023-01-11T22:11:40.0346898Z [ RUN      ] ScriptProfileTest.Basic
2023-01-11T22:11:40.0347179Z [       OK ] ScriptProfileTest.Basic (0 ms)
2023-01-11T22:11:40.0347486Z [ RUN      ] ScriptProfileTest.CallingOrder
2023-01-11T22:11:40.0364116Z [       OK ] ScriptProfileTest.CallingOrder (2 ms)
2023-01-11T22:11:40.0364744Z [----------] 2 tests from ScriptProfileTest (2 ms total)
2023-01-11T22:11:40.0364963Z 
2023-01-11T22:11:40.0365126Z [----------] 7 tests from ShapeAnalysisTest
2023-01-11T22:11:40.0365450Z [ RUN      ] ShapeAnalysisTest.DynamicShapesFusion
2023-01-11T22:11:40.0438641Z [       OK ] ShapeAnalysisTest.DynamicShapesFusion (7 ms)
2023-01-11T22:11:40.0439221Z [ RUN      ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups
2023-01-11T22:11:40.0456000Z [       OK ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups (1 ms)
2023-01-11T22:11:40.0456590Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeAPI
2023-01-11T22:11:40.0530515Z [       OK ] ShapeAnalysisTest.SymbolicShapeAPI (7 ms)
2023-01-11T22:11:40.0531054Z [ RUN      ] ShapeAnalysisTest.BoundedSymbolicShapes
2023-01-11T22:11:40.0536887Z [       OK ] ShapeAnalysisTest.BoundedSymbolicShapes (0 ms)
2023-01-11T22:11:40.0537489Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeCaching
2023-01-11T22:11:40.0543706Z [       OK ] ShapeAnalysisTest.SymbolicShapeCaching (0 ms)
2023-01-11T22:11:40.0544320Z [ RUN      ] ShapeAnalysisTest.ShapeCacheMultipleFns
2023-01-11T22:11:40.0572940Z [       OK ] ShapeAnalysisTest.ShapeCacheMultipleFns (2 ms)
2023-01-11T22:11:40.0573526Z [ RUN      ] ShapeAnalysisTest.TestShapeMultipleReturns
2023-01-11T22:11:40.0586670Z [       OK ] ShapeAnalysisTest.TestShapeMultipleReturns (1 ms)
2023-01-11T22:11:40.0587458Z [----------] 7 tests from ShapeAnalysisTest (22 ms total)
2023-01-11T22:11:40.0587742Z 
2023-01-11T22:11:40.0588033Z [----------] 5 tests from JitLoggingTest
2023-01-11T22:11:40.0588510Z [ RUN      ] JitLoggingTest.CheckSetLoggingLevel
2023-01-11T22:11:40.0589000Z [       OK ] JitLoggingTest.CheckSetLoggingLevel (0 ms)
2023-01-11T22:11:40.0589372Z [ RUN      ] JitLoggingTest.CheckSetMultipleLogLevels
2023-01-11T22:11:40.0589757Z [       OK ] JitLoggingTest.CheckSetMultipleLogLevels (0 ms)
2023-01-11T22:11:40.0590129Z [ RUN      ] JitLoggingTest.CheckLoggingLevelAfterUnset
2023-01-11T22:11:40.0590525Z [       OK ] JitLoggingTest.CheckLoggingLevelAfterUnset (0 ms)
2023-01-11T22:11:40.0590968Z [ RUN      ] JitLoggingTest.CheckAfterChangingLevel
2023-01-11T22:11:40.0591339Z [       OK ] JitLoggingTest.CheckAfterChangingLevel (0 ms)
2023-01-11T22:11:40.0591699Z [ RUN      ] JitLoggingTest.CheckOutputStreamSetting
2023-01-11T22:11:40.0592076Z [       OK ] JitLoggingTest.CheckOutputStreamSetting (0 ms)
2023-01-11T22:11:40.0592434Z [----------] 5 tests from JitLoggingTest (0 ms total)
2023-01-11T22:11:40.0592589Z 
2023-01-11T22:11:40.0592727Z [----------] 9 tests from FileFormatTest
2023-01-11T22:11:40.0593062Z [ RUN      ] FileFormatTest.IdentifiesFlatbufferStream
2023-01-11T22:11:40.0593452Z [       OK ] FileFormatTest.IdentifiesFlatbufferStream (0 ms)
2023-01-11T22:11:40.0593802Z [ RUN      ] FileFormatTest.IdentifiesZipStream
2023-01-11T22:11:40.0594216Z [       OK ] FileFormatTest.IdentifiesZipStream (0 ms)
2023-01-11T22:11:40.0594580Z [ RUN      ] FileFormatTest.FlatbufferTakesPrecedence
2023-01-11T22:11:40.0594968Z [       OK ] FileFormatTest.FlatbufferTakesPrecedence (0 ms)
2023-01-11T22:11:40.0595315Z [ RUN      ] FileFormatTest.HandlesUnknownStream
2023-01-11T22:11:40.0595668Z [       OK ] FileFormatTest.HandlesUnknownStream (0 ms)
2023-01-11T22:11:40.0596015Z [ RUN      ] FileFormatTest.ShortStreamIsUnknown
2023-01-11T22:11:40.0596356Z [       OK ] FileFormatTest.ShortStreamIsUnknown (0 ms)
2023-01-11T22:11:40.0596702Z [ RUN      ] FileFormatTest.EmptyStreamIsUnknown
2023-01-11T22:11:40.0597065Z [       OK ] FileFormatTest.EmptyStreamIsUnknown (0 ms)
2023-01-11T22:11:40.0597407Z [ RUN      ] FileFormatTest.BadStreamIsUnknown
2023-01-11T22:11:40.0597735Z [       OK ] FileFormatTest.BadStreamIsUnknown (0 ms)
2023-01-11T22:11:40.0598119Z [ RUN      ] FileFormatTest.StreamOffsetIsObservedAndRestored
2023-01-11T22:11:40.0598553Z [       OK ] FileFormatTest.StreamOffsetIsObservedAndRestored (0 ms)
2023-01-11T22:11:40.0598918Z [ RUN      ] FileFormatTest.HandlesMissingFile
2023-01-11T22:11:40.0599289Z [       OK ] FileFormatTest.HandlesMissingFile (0 ms)
2023-01-11T22:11:40.0599626Z [----------] 9 tests from FileFormatTest (0 ms total)
2023-01-11T22:11:40.0599774Z 
2023-01-11T22:11:40.0599912Z [----------] 35 tests from FlatbufferTest
2023-01-11T22:11:40.0600274Z [ RUN      ] FlatbufferTest.UpsampleNearest2d
2023-01-11T22:11:40.0622390Z [       OK ] FlatbufferTest.UpsampleNearest2d (3 ms)
2023-01-11T22:11:40.0623104Z [ RUN      ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory
2023-01-11T22:11:40.0632161Z [       OK ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory (0 ms)
2023-01-11T22:11:40.0632635Z [ RUN      ] FlatbufferTest.CheckAttrAccess
2023-01-11T22:11:40.0632967Z [       OK ] FlatbufferTest.CheckAttrAccess (0 ms)
2023-01-11T22:11:40.0633298Z [ RUN      ] FlatbufferTest.MethodInvocation
2023-01-11T22:11:40.0653257Z [       OK ] FlatbufferTest.MethodInvocation (2 ms)
2023-01-11T22:11:40.0653628Z [ RUN      ] FlatbufferTest.FlatbufferBackPortTest
2023-01-11T22:11:40.0682831Z [       OK ] FlatbufferTest.FlatbufferBackPortTest (2 ms)
2023-01-11T22:11:40.0683181Z [ RUN      ] FlatbufferTest.ExtraFiles
2023-01-11T22:11:40.0686385Z [       OK ] FlatbufferTest.ExtraFiles (0 ms)
2023-01-11T22:11:40.0686681Z [ RUN      ] FlatbufferTest.Conv
2023-01-11T22:11:40.0702301Z [       OK ] FlatbufferTest.Conv (1 ms)
2023-01-11T22:11:40.0702639Z [ RUN      ] FlatbufferTest.ConvWithCopyTensorMemory
2023-01-11T22:11:40.0719119Z [       OK ] FlatbufferTest.ConvWithCopyTensorMemory (1 ms)
2023-01-11T22:11:40.0719451Z [ RUN      ] FlatbufferTest.Inline
2023-01-11T22:11:40.0726816Z [       OK ] FlatbufferTest.Inline (0 ms)
2023-01-11T22:11:40.0727202Z [ RUN      ] FlatbufferTest.InlineWithCopyTensorMemory
2023-01-11T22:11:40.0733101Z [       OK ] FlatbufferTest.InlineWithCopyTensorMemory (0 ms)
2023-01-11T22:11:40.0733436Z [ RUN      ] FlatbufferTest.Tuple
2023-01-11T22:11:40.0737905Z [       OK ] FlatbufferTest.Tuple (0 ms)
2023-01-11T22:11:40.0738192Z [ RUN      ] FlatbufferTest.Dict
2023-01-11T22:11:40.0742570Z [       OK ] FlatbufferTest.Dict (0 ms)
2023-01-11T22:11:40.0742915Z [ RUN      ] FlatbufferTest.Prim
2023-01-11T22:11:40.0745980Z [       OK ] FlatbufferTest.Prim (0 ms)
2023-01-11T22:11:40.0746313Z [ RUN      ] FlatbufferTest.PrimScalar
2023-01-11T22:11:40.0749837Z [       OK ] FlatbufferTest.PrimScalar (0 ms)
2023-01-11T22:11:40.0750147Z [ RUN      ] FlatbufferTest.WrongMethodName
2023-01-11T22:11:40.0776048Z [       OK ] FlatbufferTest.WrongMethodName (2 ms)
2023-01-11T22:11:40.0776358Z [ RUN      ] FlatbufferTest.SetState
2023-01-11T22:11:40.0796018Z [       OK ] FlatbufferTest.SetState (1 ms)
2023-01-11T22:11:40.0796383Z [ RUN      ] FlatbufferTest.BuiltinClass
2023-01-11T22:11:40.0801534Z [       OK ] FlatbufferTest.BuiltinClass (0 ms)
2023-01-11T22:11:40.0801865Z [ RUN      ] FlatbufferTest.BuiltinFunction
2023-01-11T22:11:40.0804292Z [       OK ] FlatbufferTest.BuiltinFunction (0 ms)
2023-01-11T22:11:40.0804590Z [ RUN      ] FlatbufferTest.Eval
2023-01-11T22:11:40.0810151Z [       OK ] FlatbufferTest.Eval (0 ms)
2023-01-11T22:11:40.0810486Z [ RUN      ] FlatbufferTest.FindWrongMethodName
2023-01-11T22:11:40.0813096Z [       OK ] FlatbufferTest.FindWrongMethodName (0 ms)
2023-01-11T22:11:40.0813439Z [ RUN      ] FlatbufferTest.FindAndRunMethod
2023-01-11T22:11:40.0819543Z [       OK ] FlatbufferTest.FindAndRunMethod (0 ms)
2023-01-11T22:11:40.0819863Z [ RUN      ] FlatbufferTest.RunMethodVariadic
2023-01-11T22:11:40.0825208Z [       OK ] FlatbufferTest.RunMethodVariadic (0 ms)
2023-01-11T22:11:40.0825549Z [ RUN      ] FlatbufferTest.DuplicateSetState
2023-01-11T22:11:40.0833718Z [       OK ] FlatbufferTest.DuplicateSetState (0 ms)
2023-01-11T22:11:40.0834174Z [ RUN      ] FlatbufferTest.OpNameExportFetchRootOperators
2023-01-11T22:11:40.0840534Z [       OK ] FlatbufferTest.OpNameExportFetchRootOperators (0 ms)
2023-01-11T22:11:40.0841161Z [ RUN      ] FlatbufferTest.DefaultArgsConv
2023-01-11T22:11:40.0851425Z [       OK ] FlatbufferTest.DefaultArgsConv (1 ms)
2023-01-11T22:11:40.0852009Z [ RUN      ] FlatbufferTest.DefaultArgsPinv
2023-01-11T22:11:40.0902157Z [       OK ] FlatbufferTest.DefaultArgsPinv (5 ms)
2023-01-11T22:11:40.0902791Z [ RUN      ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault
2023-01-11T22:11:40.0912179Z [       OK ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault (0 ms)
2023-01-11T22:11:40.0912800Z [ RUN      ] FlatbufferTest.DefaultArgsPinvWithOutArg
2023-01-11T22:11:40.0931287Z [       OK ] FlatbufferTest.DefaultArgsPinvWithOutArg (1 ms)
2023-01-11T22:11:40.0931868Z [ RUN      ] FlatbufferTest.DefaultArgsWithOutArg
2023-01-11T22:11:40.0940876Z [       OK ] FlatbufferTest.DefaultArgsWithOutArg (0 ms)
2023-01-11T22:11:40.0941539Z [ RUN      ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs
2023-01-11T22:11:40.0964516Z [       OK ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs (2 ms)
2023-01-11T22:11:40.0965209Z [ RUN      ] FlatbufferTest.OperatorSize1
2023-01-11T22:11:40.0967597Z [       OK ] FlatbufferTest.OperatorSize1 (0 ms)
2023-01-11T22:11:40.0967932Z [ RUN      ] FlatbufferTest.BoolAndDoubleList
2023-01-11T22:11:40.0968262Z [       OK ] FlatbufferTest.BoolAndDoubleList (0 ms)
2023-01-11T22:11:40.0968583Z [ RUN      ] FlatbufferTest.OperatorTest2
2023-01-11T22:11:40.0978839Z [       OK ] FlatbufferTest.OperatorTest2 (1 ms)
2023-01-11T22:11:40.0979192Z [ RUN      ] FlatbufferTest.DetachedBufferSmoke
2023-01-11T22:11:40.0979538Z [       OK ] FlatbufferTest.DetachedBufferSmoke (0 ms)
2023-01-11T22:11:40.0979980Z [ RUN      ] FlatbufferTest.DetachedBufferNullOwner
2023-01-11T22:11:40.0980353Z [       OK ] FlatbufferTest.DetachedBufferNullOwner (0 ms)
2023-01-11T22:11:40.0980702Z [----------] 35 tests from FlatbufferTest (39 ms total)
2023-01-11T22:11:40.0980860Z 
2023-01-11T22:11:40.0981032Z [----------] 3 tests from TestSourceFlatbuffer
2023-01-11T22:11:40.0981369Z [ RUN      ] TestSourceFlatbuffer.UpsampleNearest2d
2023-01-11T22:11:40.0993976Z [       OK ] TestSourceFlatbuffer.UpsampleNearest2d (1 ms)
2023-01-11T22:11:40.0994548Z [ RUN      ] TestSourceFlatbuffer.CheckAttrAccess
2023-01-11T22:11:40.0995370Z [       OK ] TestSourceFlatbuffer.CheckAttrAccess (0 ms)
2023-01-11T22:11:40.0995749Z [ RUN      ] TestSourceFlatbuffer.MethodInvocation
2023-01-11T22:11:40.1048610Z [       OK ] TestSourceFlatbuffer.MethodInvocation (5 ms)
2023-01-11T22:11:40.1049120Z [----------] 3 tests from TestSourceFlatbuffer (6 ms total)
2023-01-11T22:11:40.1049375Z 
2023-01-11T22:11:40.1049622Z [----------] 10 tests from FlatbufferUpgraderTest
2023-01-11T22:11:40.1050137Z [ RUN      ] FlatbufferUpgraderTest.DivTensorV2
2023-01-11T22:11:40.1050588Z [       OK ] FlatbufferUpgraderTest.DivTensorV2 (0 ms)
2023-01-11T22:11:40.1051120Z [ RUN      ] FlatbufferUpgraderTest.DivTensorOutV2
2023-01-11T22:11:40.1051668Z [       OK ] FlatbufferUpgraderTest.DivTensorOutV2 (0 ms)
2023-01-11T22:11:40.1052174Z [ RUN      ] FlatbufferUpgraderTest.DivTensorInplaceV2
2023-01-11T22:11:40.1052660Z [       OK ] FlatbufferUpgraderTest.DivTensorInplaceV2 (0 ms)
2023-01-11T22:11:40.1053153Z [ RUN      ] FlatbufferUpgraderTest.DivScalarFloatV2
2023-01-11T22:11:40.1053676Z [       OK ] FlatbufferUpgraderTest.DivScalarFloatV2 (0 ms)
2023-01-11T22:11:40.1054259Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2
2023-01-11T22:11:40.1054893Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2023-01-11T22:11:40.1055448Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2
2023-01-11T22:11:40.1055996Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2023-01-11T22:11:40.1056521Z [ RUN      ] FlatbufferUpgraderTest.DivScalarScalarV2
2023-01-11T22:11:40.1056980Z [       OK ] FlatbufferUpgraderTest.DivScalarScalarV2 (0 ms)
2023-01-11T22:11:40.1057463Z [ RUN      ] FlatbufferUpgraderTest.DivScalarIntV2
2023-01-11T22:11:40.1057958Z [       OK ] FlatbufferUpgraderTest.DivScalarIntV2 (0 ms)
2023-01-11T22:11:40.1058482Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2
2023-01-11T22:11:40.1059029Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2023-01-11T22:11:40.1059551Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceIntV2
2023-01-11T22:11:40.1060080Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2023-01-11T22:11:40.1060566Z [----------] 10 tests from FlatbufferUpgraderTest (0 ms total)
2023-01-11T22:11:40.1060750Z 
2023-01-11T22:11:40.1061098Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture
2023-01-11T22:11:40.1061841Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0
2023-01-11T22:11:40.1062441Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 (0 ms)
2023-01-11T22:11:40.1063050Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1
2023-01-11T22:11:40.1063780Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 (0 ms)
2023-01-11T22:11:40.1064601Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2
2023-01-11T22:11:40.1065359Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 (0 ms)
2023-01-11T22:11:40.1066031Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3
2023-01-11T22:11:40.1066569Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 (0 ms)
2023-01-11T22:11:40.1067167Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0
2023-01-11T22:11:40.1067870Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 (0 ms)
2023-01-11T22:11:40.1068467Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1
2023-01-11T22:11:40.1069066Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 (0 ms)
2023-01-11T22:11:40.1069648Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2
2023-01-11T22:11:40.1070262Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 (0 ms)
2023-01-11T22:11:40.1070851Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3
2023-01-11T22:11:40.1071453Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 (0 ms)
2023-01-11T22:11:40.1072025Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0
2023-01-11T22:11:40.1072600Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 (0 ms)
2023-01-11T22:11:40.1073174Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1
2023-01-11T22:11:40.1073751Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 (0 ms)
2023-01-11T22:11:40.1074394Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2
2023-01-11T22:11:40.1074976Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 (0 ms)
2023-01-11T22:11:40.1075546Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3
2023-01-11T22:11:40.1076105Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 (0 ms)
2023-01-11T22:11:40.1076612Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture (1 ms total)
2023-01-11T22:11:40.1076815Z 
2023-01-11T22:11:40.1077058Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture
2023-01-11T22:11:40.1077504Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0
2023-01-11T22:11:40.9505593Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 (843 ms)
2023-01-11T22:11:40.9506112Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1
2023-01-11T22:11:42.1298649Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 (1179 ms)
2023-01-11T22:11:42.1299157Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2
2023-01-11T22:11:43.5519903Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 (1422 ms)
2023-01-11T22:11:43.5520440Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3
2023-01-11T22:11:44.9221774Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 (1370 ms)
2023-01-11T22:11:44.9222338Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4
2023-01-11T22:11:46.2970907Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 (1374 ms)
2023-01-11T22:11:46.2971411Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5
2023-01-11T22:11:47.6778991Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 (1380 ms)
2023-01-11T22:11:47.6779573Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6
2023-01-11T22:11:49.0399606Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 (1362 ms)
2023-01-11T22:11:49.0400144Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7
2023-01-11T22:11:50.3740245Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 (1333 ms)
2023-01-11T22:11:50.3740774Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8
2023-01-11T22:11:51.5959035Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 (1221 ms)
2023-01-11T22:11:51.5959565Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9
2023-01-11T22:11:52.8279193Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 (1232 ms)
2023-01-11T22:11:52.8279731Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture (12721 ms total)
2023-01-11T22:11:52.8279953Z 
2023-01-11T22:11:52.8280129Z [----------] Global test environment tear-down
2023-01-11T22:11:52.8347485Z [==========] 569 tests from 119 test suites ran. (13927 ms total)
2023-01-11T22:11:52.8347841Z [  PASSED  ] 569 tests.
2023-01-11T22:11:52.9108824Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *cuda* ]]
2023-01-11T22:11:52.9109406Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_lazy --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml
2023-01-11T22:11:53.1959690Z CUDA not available. Disabling CUDA and MultiCUDA tests
2023-01-11T22:11:53.1963795Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2023-01-11T22:11:53.1964173Z [==========] Running 611 tests from 10 test suites.
2023-01-11T22:11:53.1964705Z [----------] Global test environment set-up.
2023-01-11T22:11:53.1965245Z [----------] 11 tests from BackendDeviceTest
2023-01-11T22:11:53.1965780Z [ RUN      ] BackendDeviceTest.BackendDeviceType
2023-01-11T22:11:53.1966412Z [       OK ] BackendDeviceTest.BackendDeviceType (0 ms)
2023-01-11T22:11:53.1966836Z [ RUN      ] BackendDeviceTest.Basic1
2023-01-11T22:11:53.1967148Z [       OK ] BackendDeviceTest.Basic1 (0 ms)
2023-01-11T22:11:53.1967437Z [ RUN      ] BackendDeviceTest.Basic2
2023-01-11T22:11:53.1967728Z [       OK ] BackendDeviceTest.Basic2 (0 ms)
2023-01-11T22:11:53.1968013Z [ RUN      ] BackendDeviceTest.Basic3
2023-01-11T22:11:53.1968303Z [       OK ] BackendDeviceTest.Basic3 (0 ms)
2023-01-11T22:11:53.1968573Z [ RUN      ] BackendDeviceTest.Basic4
2023-01-11T22:11:53.1968868Z [       OK ] BackendDeviceTest.Basic4 (0 ms)
2023-01-11T22:11:53.1969158Z [ RUN      ] BackendDeviceTest.Compare
2023-01-11T22:11:53.1969446Z [       OK ] BackendDeviceTest.Compare (0 ms)
2023-01-11T22:11:53.1969742Z [ RUN      ] BackendDeviceTest.Ostream
2023-01-11T22:11:53.1970040Z [       OK ] BackendDeviceTest.Ostream (0 ms)
2023-01-11T22:11:53.1970334Z [ RUN      ] BackendDeviceTest.FromAten
2023-01-11T22:11:53.2042332Z [       OK ] BackendDeviceTest.FromAten (7 ms)
2023-01-11T22:11:53.2043126Z [ RUN      ] BackendDeviceTest.ToAten
2023-01-11T22:11:53.2043620Z [       OK ] BackendDeviceTest.ToAten (0 ms)
2023-01-11T22:11:53.2043945Z [ RUN      ] BackendDeviceTest.GetBackendDevice1
2023-01-11T22:11:53.2208022Z [       OK ] BackendDeviceTest.GetBackendDevice1 (16 ms)
2023-01-11T22:11:53.2208654Z [ RUN      ] BackendDeviceTest.GetBackendDevice2
2023-01-11T22:11:53.2209377Z [       OK ] BackendDeviceTest.GetBackendDevice2 (0 ms)
2023-01-11T22:11:53.2209806Z [----------] 11 tests from BackendDeviceTest (24 ms total)
2023-01-11T22:11:53.2210105Z 
2023-01-11T22:11:53.2210391Z [----------] 2 tests from CacheTest
2023-01-11T22:11:53.2210806Z [ RUN      ] CacheTest.BasicTest
2023-01-11T22:11:53.2211268Z [       OK ] CacheTest.BasicTest (0 ms)
2023-01-11T22:11:53.2211849Z [ RUN      ] CacheTest.ShapeCacheTestForDynamicShape
2023-01-11T22:11:53.2212282Z [       OK ] CacheTest.ShapeCacheTestForDynamicShape (0 ms)
2023-01-11T22:11:53.2212630Z [----------] 2 tests from CacheTest (0 ms total)
2023-01-11T22:11:53.2212762Z 
2023-01-11T22:11:53.2212895Z [----------] 5 tests from IrTest
2023-01-11T22:11:53.2213140Z [ RUN      ] IrTest.BasicTest
2023-01-11T22:11:53.2213399Z [       OK ] IrTest.BasicTest (0 ms)
2023-01-11T22:11:53.2213651Z [ RUN      ] IrTest.MetaDataTest
2023-01-11T22:11:53.2213922Z [       OK ] IrTest.MetaDataTest (0 ms)
2023-01-11T22:11:53.2214182Z [ RUN      ] IrTest.TsNodeTest
2023-01-11T22:11:53.2214435Z [       OK ] IrTest.TsNodeTest (0 ms)
2023-01-11T22:11:53.2214708Z [ RUN      ] IrTest.DimensionNodeTest
2023-01-11T22:11:53.2215009Z [       OK ] IrTest.DimensionNodeTest (0 ms)
2023-01-11T22:11:53.2215311Z [ RUN      ] IrTest.DimensionIsDynamicTest
2023-01-11T22:11:53.2215617Z [       OK ] IrTest.DimensionIsDynamicTest (0 ms)
2023-01-11T22:11:53.2215928Z [----------] 5 tests from IrTest (0 ms total)
2023-01-11T22:11:53.2216066Z 
2023-01-11T22:11:53.2216208Z [----------] 2 tests from IrUtilTest
2023-01-11T22:11:53.2216455Z [ RUN      ] IrUtilTest.BasicTest
2023-01-11T22:11:53.2216731Z [       OK ] IrUtilTest.BasicTest (0 ms)
2023-01-11T22:11:53.2217005Z [ RUN      ] IrUtilTest.TestCircle
2023-01-11T22:11:53.2234320Z [       OK ] IrUtilTest.TestCircle (2 ms)
2023-01-11T22:11:53.2234770Z [----------] 2 tests from IrUtilTest (2 ms total)
2023-01-11T22:11:53.2235003Z 
2023-01-11T22:11:53.2235211Z [----------] 2 tests from HashTest
2023-01-11T22:11:53.2235494Z [ RUN      ] HashTest.Scalar
2023-01-11T22:11:53.2235828Z [       OK ] HashTest.Scalar (0 ms)
2023-01-11T22:11:53.2236125Z [ RUN      ] HashTest.Sanity
2023-01-11T22:11:53.2236384Z [       OK ] HashTest.Sanity (0 ms)
2023-01-11T22:11:53.2236728Z [----------] 2 tests from HashTest (0 ms total)
2023-01-11T22:11:53.2236872Z 
2023-01-11T22:11:53.2237044Z [----------] 3 tests from PermutationUtilTest
2023-01-11T22:11:53.2237407Z [ RUN      ] PermutationUtilTest.TestInversePermutation
2023-01-11T22:11:53.2270308Z [       OK ] PermutationUtilTest.TestInversePermutation (3 ms)
2023-01-11T22:11:53.2271007Z [ RUN      ] PermutationUtilTest.TestIsPermutation
2023-01-11T22:11:53.2271681Z [       OK ] PermutationUtilTest.TestIsPermutation (0 ms)
2023-01-11T22:11:53.2272307Z [ RUN      ] PermutationUtilTest.TestPermute
2023-01-11T22:11:53.2291090Z [       OK ] PermutationUtilTest.TestPermute (2 ms)
2023-01-11T22:11:53.2291676Z [----------] 3 tests from PermutationUtilTest (5 ms total)
2023-01-11T22:11:53.2291981Z 
2023-01-11T22:11:53.2292203Z [----------] 7 tests from ShapeTest
2023-01-11T22:11:53.2292623Z [ RUN      ] ShapeTest.Basic1
2023-01-11T22:11:53.2293158Z [       OK ] ShapeTest.Basic1 (0 ms)
2023-01-11T22:11:53.2293543Z [ RUN      ] ShapeTest.Basic2
2023-01-11T22:11:53.2294005Z [       OK ] ShapeTest.Basic2 (0 ms)
2023-01-11T22:11:53.2294428Z [ RUN      ] ShapeTest.Basic3
2023-01-11T22:11:53.2294915Z [       OK ] ShapeTest.Basic3 (0 ms)
2023-01-11T22:11:53.2295281Z [ RUN      ] ShapeTest.SetScalarType
2023-01-11T22:11:53.2295647Z [       OK ] ShapeTest.SetScalarType (0 ms)
2023-01-11T22:11:53.2295908Z [ RUN      ] ShapeTest.SetSize
2023-01-11T22:11:53.2296176Z [       OK ] ShapeTest.SetSize (0 ms)
2023-01-11T22:11:53.2296434Z [ RUN      ] ShapeTest.Equal
2023-01-11T22:11:53.2296678Z [       OK ] ShapeTest.Equal (0 ms)
2023-01-11T22:11:53.2296931Z [ RUN      ] ShapeTest.Ostream
2023-01-11T22:11:53.2297197Z [       OK ] ShapeTest.Ostream (0 ms)
2023-01-11T22:11:53.2297477Z [----------] 7 tests from ShapeTest (0 ms total)
2023-01-11T22:11:53.2297622Z 
2023-01-11T22:11:53.2297770Z [----------] 2 tests from TrieCacheTest
2023-01-11T22:11:53.2298057Z [ RUN      ] TrieCacheTest.TestSinglePath
2023-01-11T22:11:53.2298384Z [       OK ] TrieCacheTest.TestSinglePath (0 ms)
2023-01-11T22:11:53.2298674Z [ RUN      ] TrieCacheTest.TestTwoPaths
2023-01-11T22:11:53.2298979Z [       OK ] TrieCacheTest.TestTwoPaths (0 ms)
2023-01-11T22:11:53.2299303Z [----------] 2 tests from TrieCacheTest (0 ms total)
2023-01-11T22:11:53.2299455Z 
2023-01-11T22:11:53.2299578Z [----------] 3 tests from UtilTest
2023-01-11T22:11:53.2299850Z [ RUN      ] UtilTest.ExceptionCleanup
2023-01-11T22:11:53.2300150Z [       OK ] UtilTest.ExceptionCleanup (0 ms)
2023-01-11T22:11:53.2300411Z [ RUN      ] UtilTest.MaybeRef
2023-01-11T22:11:53.2300674Z [       OK ] UtilTest.MaybeRef (0 ms)
2023-01-11T22:11:53.2300921Z [ RUN      ] UtilTest.Iota
2023-01-11T22:11:53.2301159Z [       OK ] UtilTest.Iota (0 ms)
2023-01-11T22:11:53.2301505Z [----------] 3 tests from UtilTest (0 ms total)
2023-01-11T22:11:53.2301647Z 
2023-01-11T22:11:53.2301798Z [----------] 574 tests from LazyOpsTest
2023-01-11T22:11:53.2303772Z [ RUN      ] LazyOpsTest.TestScalarTensor
2023-01-11T22:11:53.2440630Z [       OK ] LazyOpsTest.TestScalarTensor (13 ms)
2023-01-11T22:11:53.2440968Z [ RUN      ] LazyOpsTest.TestClone
2023-01-11T22:11:53.2456601Z [       OK ] LazyOpsTest.TestClone (1 ms)
2023-01-11T22:11:53.2457092Z [ RUN      ] LazyOpsTest.TestTo
2023-01-11T22:11:53.2457576Z [       OK ] LazyOpsTest.TestTo (0 ms)
2023-01-11T22:11:53.2457894Z [ RUN      ] LazyOpsTest.TestIsFloatingPoint
2023-01-11T22:11:53.2458228Z [       OK ] LazyOpsTest.TestIsFloatingPoint (0 ms)
2023-01-11T22:11:53.2458523Z [ RUN      ] LazyOpsTest.TestIsSigned
2023-01-11T22:11:53.2458820Z [       OK ] LazyOpsTest.TestIsSigned (0 ms)
2023-01-11T22:11:53.2459117Z [ RUN      ] LazyOpsTest.TestCastByte
2023-01-11T22:11:53.2837134Z [       OK ] LazyOpsTest.TestCastByte (37 ms)
2023-01-11T22:11:53.2837493Z [ RUN      ] LazyOpsTest.TestCastChar
2023-01-11T22:11:53.2839293Z [       OK ] LazyOpsTest.TestCastChar (0 ms)
2023-01-11T22:11:53.2839589Z [ RUN      ] LazyOpsTest.TestCastShort
2023-01-11T22:11:53.2842515Z [       OK ] LazyOpsTest.TestCastShort (0 ms)
2023-01-11T22:11:53.2842810Z [ RUN      ] LazyOpsTest.TestCastInt
2023-01-11T22:11:53.2846184Z [       OK ] LazyOpsTest.TestCastInt (0 ms)
2023-01-11T22:11:53.2846468Z [ RUN      ] LazyOpsTest.TestCastLong
2023-01-11T22:11:53.2849403Z [       OK ] LazyOpsTest.TestCastLong (0 ms)
2023-01-11T22:11:53.2849893Z [ RUN      ] LazyOpsTest.TestCastFloat
2023-01-11T22:11:53.2850285Z [       OK ] LazyOpsTest.TestCastFloat (0 ms)
2023-01-11T22:11:53.2850778Z [ RUN      ] LazyOpsTest.TestRetainType
2023-01-11T22:11:53.2851895Z [       OK ] LazyOpsTest.TestRetainType (0 ms)
2023-01-11T22:11:53.2852266Z [ RUN      ] LazyOpsTest.TestLogicalTypeWithInterop
2023-01-11T22:11:53.2877262Z [       OK ] LazyOpsTest.TestLogicalTypeWithInterop (2 ms)
2023-01-11T22:11:53.2877591Z [ RUN      ] LazyOpsTest.TestAdd
2023-01-11T22:11:53.2881159Z [       OK ] LazyOpsTest.TestAdd (0 ms)
2023-01-11T22:11:53.2881489Z [ RUN      ] LazyOpsTest.TestAddHalf
2023-01-11T22:11:53.2884289Z [       OK ] LazyOpsTest.TestAddHalf (0 ms)
2023-01-11T22:11:53.2884872Z [ RUN      ] LazyOpsTest.TestAddMixedPrecision
2023-01-11T22:11:53.2887893Z [       OK ] LazyOpsTest.TestAddMixedPrecision (0 ms)
2023-01-11T22:11:53.2888423Z [ RUN      ] LazyOpsTest.TestAddInPlace
2023-01-11T22:11:53.2893239Z [       OK ] LazyOpsTest.TestAddInPlace (0 ms)
2023-01-11T22:11:53.2893787Z [ RUN      ] LazyOpsTest.TestAddScalar
2023-01-11T22:11:53.2896392Z [       OK ] LazyOpsTest.TestAddScalar (0 ms)
2023-01-11T22:11:53.2896954Z [ RUN      ] LazyOpsTest.TestAddScalarInPlace
2023-01-11T22:11:53.2900529Z [       OK ] LazyOpsTest.TestAddScalarInPlace (0 ms)
2023-01-11T22:11:53.2901172Z [ RUN      ] LazyOpsTest.TestAddZeroSizeDim
2023-01-11T22:11:53.2903585Z [       OK ] LazyOpsTest.TestAddZeroSizeDim (0 ms)
2023-01-11T22:11:53.2904135Z [ RUN      ] LazyOpsTest.TestSub
2023-01-11T22:11:53.2906850Z [       OK ] LazyOpsTest.TestSub (0 ms)
2023-01-11T22:11:53.2907396Z [ RUN      ] LazyOpsTest.TestSubInPlace
2023-01-11T22:11:53.2911179Z [       OK ] LazyOpsTest.TestSubInPlace (0 ms)
2023-01-11T22:11:53.2911729Z [ RUN      ] LazyOpsTest.TestSubScalar
2023-01-11T22:11:53.2914299Z [       OK ] LazyOpsTest.TestSubScalar (0 ms)
2023-01-11T22:11:53.2914869Z [ RUN      ] LazyOpsTest.TestSubScalarInPlace
2023-01-11T22:11:53.2918500Z [       OK ] LazyOpsTest.TestSubScalarInPlace (0 ms)
2023-01-11T22:11:53.2919030Z [ RUN      ] LazyOpsTest.TestMul
2023-01-11T22:11:53.2921365Z [       OK ] LazyOpsTest.TestMul (0 ms)
2023-01-11T22:11:53.2921890Z [ RUN      ] LazyOpsTest.TestMulInPlace
2023-01-11T22:11:53.2925683Z [       OK ] LazyOpsTest.TestMulInPlace (0 ms)
2023-01-11T22:11:53.2926277Z [ RUN      ] LazyOpsTest.TestMulScalar
2023-01-11T22:11:53.2928462Z [       OK ] LazyOpsTest.TestMulScalar (0 ms)
2023-01-11T22:11:53.2929044Z [ RUN      ] LazyOpsTest.TestMulScalarInPlace
2023-01-11T22:11:53.2932529Z [       OK ] LazyOpsTest.TestMulScalarInPlace (0 ms)
2023-01-11T22:11:53.2933069Z [ RUN      ] LazyOpsTest.TestDiv
2023-01-11T22:11:53.3016657Z [       OK ] LazyOpsTest.TestDiv (8 ms)
2023-01-11T22:11:53.3017201Z [ RUN      ] LazyOpsTest.TestDivWithRoundingMode
2023-01-11T22:11:53.3310570Z [       OK ] LazyOpsTest.TestDivWithRoundingMode (29 ms)
2023-01-11T22:11:53.3311000Z [ RUN      ] LazyOpsTest.TestDivInPlace
2023-01-11T22:11:53.3313738Z [       OK ] LazyOpsTest.TestDivInPlace (0 ms)
2023-01-11T22:11:53.3314433Z [ RUN      ] LazyOpsTest.TestDivInPlaceWithRoundingMode
2023-01-11T22:11:53.3324847Z [       OK ] LazyOpsTest.TestDivInPlaceWithRoundingMode (1 ms)
2023-01-11T22:11:53.3325223Z [ RUN      ] LazyOpsTest.TestDivScalar
2023-01-11T22:11:53.3352544Z [       OK ] LazyOpsTest.TestDivScalar (2 ms)
2023-01-11T22:11:53.3352878Z [ RUN      ] LazyOpsTest.TestDivScalarInPlace
2023-01-11T22:11:53.3359650Z [       OK ] LazyOpsTest.TestDivScalarInPlace (0 ms)
2023-01-11T22:11:53.3359972Z [ RUN      ] LazyOpsTest.TestDivOut
2023-01-11T22:11:53.3364169Z [       OK ] LazyOpsTest.TestDivOut (0 ms)
2023-01-11T22:11:53.3364471Z [ RUN      ] LazyOpsTest.TestRsubScalar
2023-01-11T22:11:53.3374853Z [       OK ] LazyOpsTest.TestRsubScalar (1 ms)
2023-01-11T22:11:53.3375162Z [ RUN      ] LazyOpsTest.TestNe
2023-01-11T22:11:53.3377670Z [       OK ] LazyOpsTest.TestNe (0 ms)
2023-01-11T22:11:53.3378007Z [ RUN      ] LazyOpsTest.TestNeInplace
2023-01-11T22:11:53.3382792Z [       OK ] LazyOpsTest.TestNeInplace (0 ms)
2023-01-11T22:11:53.3383123Z [ RUN      ] LazyOpsTest.TestEq
2023-01-11T22:11:53.3385798Z [       OK ] LazyOpsTest.TestEq (0 ms)
2023-01-11T22:11:53.3386133Z [ RUN      ] LazyOpsTest.TestEqInplace
2023-01-11T22:11:53.3390619Z [       OK ] LazyOpsTest.TestEqInplace (0 ms)
2023-01-11T22:11:53.3390956Z [ RUN      ] LazyOpsTest.TestGe
2023-01-11T22:11:53.3393646Z [       OK ] LazyOpsTest.TestGe (0 ms)
2023-01-11T22:11:53.3394006Z [ RUN      ] LazyOpsTest.TestGeInplace
2023-01-11T22:11:53.3410543Z [       OK ] LazyOpsTest.TestGeInplace (1 ms)
2023-01-11T22:11:53.3410866Z [ RUN      ] LazyOpsTest.TestLe
2023-01-11T22:11:53.3413397Z [       OK ] LazyOpsTest.TestLe (0 ms)
2023-01-11T22:11:53.3413744Z [ RUN      ] LazyOpsTest.TestLeInplace
2023-01-11T22:11:53.3418217Z [       OK ] LazyOpsTest.TestLeInplace (0 ms)
2023-01-11T22:11:53.3418544Z [ RUN      ] LazyOpsTest.TestGt
2023-01-11T22:11:53.3421359Z [       OK ] LazyOpsTest.TestGt (0 ms)
2023-01-11T22:11:53.3421707Z [ RUN      ] LazyOpsTest.TestGtInplace
2023-01-11T22:11:53.3426220Z [       OK ] LazyOpsTest.TestGtInplace (0 ms)
2023-01-11T22:11:53.3426538Z [ RUN      ] LazyOpsTest.TestLt
2023-01-11T22:11:53.3429256Z [       OK ] LazyOpsTest.TestLt (0 ms)
2023-01-11T22:11:53.3429600Z [ RUN      ] LazyOpsTest.TestLtInplace
2023-01-11T22:11:53.3434238Z [       OK ] LazyOpsTest.TestLtInplace (0 ms)
2023-01-11T22:11:53.3434565Z [ RUN      ] LazyOpsTest.TestNeScalar
2023-01-11T22:11:53.3437295Z [       OK ] LazyOpsTest.TestNeScalar (0 ms)
2023-01-11T22:11:53.3437626Z [ RUN      ] LazyOpsTest.TestEqScalar
2023-01-11T22:11:53.3440144Z [       OK ] LazyOpsTest.TestEqScalar (0 ms)
2023-01-11T22:11:53.3440494Z [ RUN      ] LazyOpsTest.TestGeScalar
2023-01-11T22:11:53.3442922Z [       OK ] LazyOpsTest.TestGeScalar (0 ms)
2023-01-11T22:11:53.3443283Z [ RUN      ] LazyOpsTest.TestGeScalarInplace
2023-01-11T22:11:53.3447969Z [       OK ] LazyOpsTest.TestGeScalarInplace (0 ms)
2023-01-11T22:11:53.3448310Z [ RUN      ] LazyOpsTest.TestLeScalar
2023-01-11T22:11:53.3450786Z [       OK ] LazyOpsTest.TestLeScalar (0 ms)
2023-01-11T22:11:53.3451141Z [ RUN      ] LazyOpsTest.TestLeScalarInplace
2023-01-11T22:11:53.3455359Z [       OK ] LazyOpsTest.TestLeScalarInplace (0 ms)
2023-01-11T22:11:53.3455709Z [ RUN      ] LazyOpsTest.TestGtScalar
2023-01-11T22:11:53.3458213Z [       OK ] LazyOpsTest.TestGtScalar (0 ms)
2023-01-11T22:11:53.3458589Z [ RUN      ] LazyOpsTest.TestGtScalarInplace
2023-01-11T22:11:53.3462755Z [       OK ] LazyOpsTest.TestGtScalarInplace (0 ms)
2023-01-11T22:11:53.3463069Z [ RUN      ] LazyOpsTest.TestLtScalar
2023-01-11T22:11:53.3465675Z [       OK ] LazyOpsTest.TestLtScalar (0 ms)
2023-01-11T22:11:53.3466034Z [ RUN      ] LazyOpsTest.TestLtScalarInplace
2023-01-11T22:11:53.3470290Z [       OK ] LazyOpsTest.TestLtScalarInplace (0 ms)
2023-01-11T22:11:53.3470603Z [ RUN      ] LazyOpsTest.TestIntegerAdd
2023-01-11T22:11:53.3482106Z [       OK ] LazyOpsTest.TestIntegerAdd (1 ms)
2023-01-11T22:11:53.3482410Z [ RUN      ] LazyOpsTest.TestSVD
2023-01-11T22:11:53.3550102Z [       OK ] LazyOpsTest.TestSVD (6 ms)
2023-01-11T22:11:53.3550497Z [ RUN      ] LazyOpsTest.TestQR
2023-01-11T22:11:53.3551112Z [W BatchLinearAlgebra.cpp:2459] Warning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2023-01-11T22:11:53.3551793Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2023-01-11T22:11:53.3552118Z Q, R = torch.qr(A, some)
2023-01-11T22:11:53.3552309Z should be replaced with
2023-01-11T22:11:53.3552634Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (function operator())
2023-01-11T22:11:53.3574644Z [       OK ] LazyOpsTest.TestQR (2 ms)
2023-01-11T22:11:53.3575091Z [ RUN      ] LazyOpsTest.TestSymEig
2023-01-11T22:11:53.3575776Z [W BatchLinearAlgebra.cpp:2910] Warning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2023-01-11T22:11:53.3576655Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2023-01-11T22:11:53.3577029Z L, _ = torch.symeig(A, upper=upper)
2023-01-11T22:11:53.3577231Z should be replaced with
2023-01-11T22:11:53.3577545Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2023-01-11T22:11:53.3577753Z and
2023-01-11T22:11:53.3577937Z L, V = torch.symeig(A, eigenvectors=True)
2023-01-11T22:11:53.3578132Z should be replaced with
2023-01-11T22:11:53.3578449Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (function operator())
2023-01-11T22:11:53.3592522Z [       OK ] LazyOpsTest.TestSymEig (1 ms)
2023-01-11T22:11:53.3592944Z [ RUN      ] LazyOpsTest.TestCholesky
2023-01-11T22:11:53.3594256Z [W BatchLinearAlgebra.cpp:1730] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2023-01-11T22:11:53.3594814Z L = torch.cholesky(A)
2023-01-11T22:11:53.3595174Z should be replaced with
2023-01-11T22:11:53.3595478Z L = torch.linalg.cholesky(A)
2023-01-11T22:11:53.3595737Z and
2023-01-11T22:11:53.3596062Z U = torch.cholesky(A, upper=True)
2023-01-11T22:11:53.3596388Z should be replaced with
2023-01-11T22:11:53.3596604Z U = torch.linalg.cholesky(A).mH().
2023-01-11T22:11:53.3596926Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator())
2023-01-11T22:11:53.3606020Z [       OK ] LazyOpsTest.TestCholesky (1 ms)
2023-01-11T22:11:53.3606308Z [ RUN      ] LazyOpsTest.TestLogDet
2023-01-11T22:11:53.3629478Z [       OK ] LazyOpsTest.TestLogDet (2 ms)
2023-01-11T22:11:53.3629918Z [ RUN      ] LazyOpsTest.TestTriangularSolve
2023-01-11T22:11:53.3630371Z [W BatchLinearAlgebra.cpp:2225] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2023-01-11T22:11:53.3630820Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2023-01-11T22:11:53.3631117Z X = torch.triangular_solve(B, A).solution
2023-01-11T22:11:53.3631328Z should be replaced with
2023-01-11T22:11:53.3631554Z X = torch.linalg.solve_triangular(A, B). (function operator())
2023-01-11T22:11:53.3845556Z [       OK ] LazyOpsTest.TestTriangularSolve (21 ms)
2023-01-11T22:11:53.3845914Z [ RUN      ] LazyOpsTest.TestKthValue
2023-01-11T22:11:53.3877652Z [       OK ] LazyOpsTest.TestKthValue (3 ms)
2023-01-11T22:11:53.3877959Z [ RUN      ] LazyOpsTest.TestTopK
2023-01-11T22:11:53.4057241Z [       OK ] LazyOpsTest.TestTopK (17 ms)
2023-01-11T22:11:53.4057594Z [ RUN      ] LazyOpsTest.TestSort
2023-01-11T22:11:53.4124662Z [       OK ] LazyOpsTest.TestSort (6 ms)
2023-01-11T22:11:53.4125010Z [ RUN      ] LazyOpsTest.TestSortDescWithMinValue
2023-01-11T22:11:53.4129724Z [       OK ] LazyOpsTest.TestSortDescWithMinValue (0 ms)
2023-01-11T22:11:53.4130039Z [ RUN      ] LazyOpsTest.TestArgSort
2023-01-11T22:11:53.4141553Z [       OK ] LazyOpsTest.TestArgSort (1 ms)
2023-01-11T22:11:53.4141848Z [ RUN      ] LazyOpsTest.TestMin
2023-01-11T22:11:53.4144893Z [       OK ] LazyOpsTest.TestMin (0 ms)
2023-01-11T22:11:53.4145191Z [ RUN      ] LazyOpsTest.TestMax
2023-01-11T22:11:53.4147871Z [       OK ] LazyOpsTest.TestMax (0 ms)
2023-01-11T22:11:53.4148235Z [ RUN      ] LazyOpsTest.TestUnaryMin
2023-01-11T22:11:53.4150619Z [       OK ] LazyOpsTest.TestUnaryMin (0 ms)
2023-01-11T22:11:53.4150984Z [ RUN      ] LazyOpsTest.TestUnaryMax
2023-01-11T22:11:53.4153417Z [       OK ] LazyOpsTest.TestUnaryMax (0 ms)
2023-01-11T22:11:53.4153761Z [ RUN      ] LazyOpsTest.TestAll
2023-01-11T22:11:53.4164393Z [       OK ] LazyOpsTest.TestAll (1 ms)
2023-01-11T22:11:53.4164811Z [ RUN      ] LazyOpsTest.TestAllDim
2023-01-11T22:11:53.4166932Z [       OK ] LazyOpsTest.TestAllDim (0 ms)
2023-01-11T22:11:53.4167280Z [ RUN      ] LazyOpsTest.TestAllDimKeep
2023-01-11T22:11:53.4169217Z [       OK ] LazyOpsTest.TestAllDimKeep (0 ms)
2023-01-11T22:11:53.4169569Z [ RUN      ] LazyOpsTest.TestAmax
2023-01-11T22:11:53.4204439Z [       OK ] LazyOpsTest.TestAmax (3 ms)
2023-01-11T22:11:53.4204774Z [ RUN      ] LazyOpsTest.TestAmin
2023-01-11T22:11:53.4238971Z [       OK ] LazyOpsTest.TestAmin (3 ms)
2023-01-11T22:11:53.4239320Z [ RUN      ] LazyOpsTest.TestAny
2023-01-11T22:11:53.4249751Z [       OK ] LazyOpsTest.TestAny (1 ms)
2023-01-11T22:11:53.4250119Z [ RUN      ] LazyOpsTest.TestAnyDim
2023-01-11T22:11:53.4252324Z [       OK ] LazyOpsTest.TestAnyDim (0 ms)
2023-01-11T22:11:53.4252687Z [ RUN      ] LazyOpsTest.TestAnyDimKeep
2023-01-11T22:11:53.4254615Z [       OK ] LazyOpsTest.TestAnyDimKeep (0 ms)
2023-01-11T22:11:53.4254964Z [ RUN      ] LazyOpsTest.TestMean
2023-01-11T22:11:53.4257889Z [       OK ] LazyOpsTest.TestMean (0 ms)
2023-01-11T22:11:53.4258227Z [ RUN      ] LazyOpsTest.TestMeanCast
2023-01-11T22:11:53.4260945Z [       OK ] LazyOpsTest.TestMeanCast (0 ms)
2023-01-11T22:11:53.4261307Z [ RUN      ] LazyOpsTest.TestMeanInDim
2023-01-11T22:11:53.4279167Z [       OK ] LazyOpsTest.TestMeanInDim (1 ms)
2023-01-11T22:11:53.4279524Z [ RUN      ] LazyOpsTest.TestMeanInDims
2023-01-11T22:11:53.4285692Z [       OK ] LazyOpsTest.TestMeanInDims (0 ms)
2023-01-11T22:11:53.4286078Z [ RUN      ] LazyOpsTest.TestMeanInDimsKeepCast
2023-01-11T22:11:53.4292083Z [       OK ] LazyOpsTest.TestMeanInDimsKeepCast (0 ms)
2023-01-11T22:11:53.4292481Z [ RUN      ] LazyOpsTest.TestMeanInDimOut
2023-01-11T22:11:53.4319648Z [       OK ] LazyOpsTest.TestMeanInDimOut (2 ms)
2023-01-11T22:11:53.4319971Z [ RUN      ] LazyOpsTest.TestStd
2023-01-11T22:11:53.4326552Z [       OK ] LazyOpsTest.TestStd (0 ms)
2023-01-11T22:11:53.4326840Z [ RUN      ] LazyOpsTest.TestStdInDim
2023-01-11T22:11:53.4395683Z [       OK ] LazyOpsTest.TestStdInDim (6 ms)
2023-01-11T22:11:53.4396010Z [ RUN      ] LazyOpsTest.TestStdWithCorrection
2023-01-11T22:11:53.4430099Z [       OK ] LazyOpsTest.TestStdWithCorrection (3 ms)
2023-01-11T22:11:53.4430457Z [ RUN      ] LazyOpsTest.TestStdMeanWithCorrection
2023-01-11T22:11:53.4442960Z [       OK ] LazyOpsTest.TestStdMeanWithCorrection (1 ms)
2023-01-11T22:11:53.4443278Z [ RUN      ] LazyOpsTest.TestSum
2023-01-11T22:11:53.4445909Z [       OK ] LazyOpsTest.TestSum (0 ms)
2023-01-11T22:11:53.4446196Z [ RUN      ] LazyOpsTest.TestSumCast
2023-01-11T22:11:53.4448696Z [       OK ] LazyOpsTest.TestSumCast (0 ms)
2023-01-11T22:11:53.4448983Z [ RUN      ] LazyOpsTest.TestSumU8
2023-01-11T22:11:53.4451261Z [       OK ] LazyOpsTest.TestSumU8 (0 ms)
2023-01-11T22:11:53.4451540Z [ RUN      ] LazyOpsTest.TestSumInDim
2023-01-11T22:11:53.4468132Z [       OK ] LazyOpsTest.TestSumInDim (1 ms)
2023-01-11T22:11:53.4468627Z [ RUN      ] LazyOpsTest.TestSumInDims
2023-01-11T22:11:53.4474033Z [       OK ] LazyOpsTest.TestSumInDims (0 ms)
2023-01-11T22:11:53.4474405Z [ RUN      ] LazyOpsTest.TestSumInDimsKeep
2023-01-11T22:11:53.4480075Z [       OK ] LazyOpsTest.TestSumInDimsKeep (0 ms)
2023-01-11T22:11:53.4480411Z [ RUN      ] LazyOpsTest.TestSumInDimsKeepCast
2023-01-11T22:11:53.4486257Z [       OK ] LazyOpsTest.TestSumInDimsKeepCast (0 ms)
2023-01-11T22:11:53.4486573Z [ RUN      ] LazyOpsTest.TestVar
2023-01-11T22:11:53.4488494Z [       OK ] LazyOpsTest.TestVar (0 ms)
2023-01-11T22:11:53.4488802Z [ RUN      ] LazyOpsTest.TestVarWithDim
2023-01-11T22:11:53.4493925Z [       OK ] LazyOpsTest.TestVarWithDim (0 ms)
2023-01-11T22:11:53.4494256Z [ RUN      ] LazyOpsTest.TestVarWithCorrection
2023-01-11T22:11:53.4501911Z [       OK ] LazyOpsTest.TestVarWithCorrection (0 ms)
2023-01-11T22:11:53.4502262Z [ RUN      ] LazyOpsTest.TestVarMeanWithCorrection
2023-01-11T22:11:53.4514465Z [       OK ] LazyOpsTest.TestVarMeanWithCorrection (1 ms)
2023-01-11T22:11:53.4514844Z [ RUN      ] LazyOpsTest.TestMaxInDim
2023-01-11T22:11:53.4588060Z [       OK ] LazyOpsTest.TestMaxInDim (7 ms)
2023-01-11T22:11:53.4588416Z [ RUN      ] LazyOpsTest.TestMinInDim
2023-01-11T22:11:53.4606208Z [       OK ] LazyOpsTest.TestMinInDim (1 ms)
2023-01-11T22:11:53.4606554Z [ RUN      ] LazyOpsTest.TestNorm
2023-01-11T22:11:53.4610041Z [       OK ] LazyOpsTest.TestNorm (0 ms)
2023-01-11T22:11:53.4610404Z [ RUN      ] LazyOpsTest.TestNormInDim
2023-01-11T22:11:53.4616434Z [       OK ] LazyOpsTest.TestNormInDim (0 ms)
2023-01-11T22:11:53.4616774Z [ RUN      ] LazyOpsTest.TestNormInDims
2023-01-11T22:11:53.4622420Z [       OK ] LazyOpsTest.TestNormInDims (0 ms)
2023-01-11T22:11:53.4622742Z [ RUN      ] LazyOpsTest.TestNormInDimsKeep
2023-01-11T22:11:53.4628669Z [       OK ] LazyOpsTest.TestNormInDimsKeep (0 ms)
2023-01-11T22:11:53.4629032Z [ RUN      ] LazyOpsTest.TestNormalTwoTensor
2023-01-11T22:11:53.4635229Z [       OK ] LazyOpsTest.TestNormalTwoTensor (0 ms)
2023-01-11T22:11:53.4635602Z [ RUN      ] LazyOpsTest.TestNormalDoubleMean
2023-01-11T22:11:53.4642331Z [       OK ] LazyOpsTest.TestNormalDoubleMean (0 ms)
2023-01-11T22:11:53.4642664Z [ RUN      ] LazyOpsTest.TestNormalDoubleStd
2023-01-11T22:11:53.4645106Z [       OK ] LazyOpsTest.TestNormalDoubleStd (0 ms)
2023-01-11T22:11:53.4645439Z [ RUN      ] LazyOpsTest.TestNormalInPlace
2023-01-11T22:11:53.4648436Z [       OK ] LazyOpsTest.TestNormalInPlace (0 ms)
2023-01-11T22:11:53.4648777Z [ RUN      ] LazyOpsTest.TestUniformInPlace
2023-01-11T22:11:53.4651230Z [       OK ] LazyOpsTest.TestUniformInPlace (0 ms)
2023-01-11T22:11:53.4651570Z [ RUN      ] LazyOpsTest.TestRandomInPlace
2023-01-11T22:11:53.4703097Z [       OK ] LazyOpsTest.TestRandomInPlace (5 ms)
2023-01-11T22:11:53.4703459Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefaultFrom
2023-01-11T22:11:53.4753728Z [       OK ] LazyOpsTest.TestRandomInPlaceDefaultFrom (5 ms)
2023-01-11T22:11:53.4754166Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefault
2023-01-11T22:11:53.4767004Z [       OK ] LazyOpsTest.TestRandomInPlaceDefault (1 ms)
2023-01-11T22:11:53.4767340Z [ RUN      ] LazyOpsTest.TestNormGeneral
2023-01-11T22:11:53.4770989Z [       OK ] LazyOpsTest.TestNormGeneral (0 ms)
2023-01-11T22:11:53.4771333Z [ RUN      ] LazyOpsTest.TestNormNuclear
2023-01-11T22:11:53.4775363Z [       OK ] LazyOpsTest.TestNormNuclear (0 ms)
2023-01-11T22:11:53.4775852Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDim
2023-01-11T22:11:53.4776472Z [W LinearAlgebra.cpp:2783] Warning: at::frobenius_norm is deprecated and it is just left for JIT compatibility. It will be removed in a future PyTorch release. Please use `linalg.vector_norm(A, 2., dim, keepdim)` instead (function operator())
2023-01-11T22:11:53.4782156Z [       OK ] LazyOpsTest.TestFrobeniusNormInDim (0 ms)
2023-01-11T22:11:53.4782552Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDims
2023-01-11T22:11:53.4788570Z [       OK ] LazyOpsTest.TestFrobeniusNormInDims (0 ms)
2023-01-11T22:11:53.4789004Z [ RUN      ] LazyOpsTest.TestGroupNorm
2023-01-11T22:11:53.4831359Z [       OK ] LazyOpsTest.TestGroupNorm (4 ms)
2023-01-11T22:11:53.4831702Z [ RUN      ] LazyOpsTest.TestGroupNormBackward
2023-01-11T22:11:53.5332063Z [       OK ] LazyOpsTest.TestGroupNormBackward (49 ms)
2023-01-11T22:11:53.5332596Z [ RUN      ] LazyOpsTest.TestInstanceNorm
2023-01-11T22:11:53.5360999Z [       OK ] LazyOpsTest.TestInstanceNorm (2 ms)
2023-01-11T22:11:53.5361639Z [ RUN      ] LazyOpsTest.TestLayerNorm
2023-01-11T22:11:53.5403164Z [       OK ] LazyOpsTest.TestLayerNorm (4 ms)
2023-01-11T22:11:53.5404008Z [ RUN      ] LazyOpsTest.TestLayerNormBackward
2023-01-11T22:11:53.5655010Z [       OK ] LazyOpsTest.TestLayerNormBackward (25 ms)
2023-01-11T22:11:53.5655635Z [ RUN      ] LazyOpsTest.TestNuclearNorm
2023-01-11T22:11:53.5656903Z [W LinearAlgebra.cpp:2837] Warning: at::nuclear_norm is deprecated and it is just left for JIT compatibility. It will be removed in a future PyTorch release. Please use `linalg.matrix_norm(A, 'nuc', dim, keepdim)` instead (function operator())
2023-01-11T22:11:53.5664603Z [       OK ] LazyOpsTest.TestNuclearNorm (0 ms)
2023-01-11T22:11:53.5665238Z [ RUN      ] LazyOpsTest.TestPairwiseDistance
2023-01-11T22:11:53.6331722Z [       OK ] LazyOpsTest.TestPairwiseDistance (66 ms)
2023-01-11T22:11:53.6332422Z [ RUN      ] LazyOpsTest.TestCosineSimilarity
2023-01-11T22:11:53.6378528Z [       OK ] LazyOpsTest.TestCosineSimilarity (4 ms)
2023-01-11T22:11:53.6379235Z [ RUN      ] LazyOpsTest.TestCosineEmbeddingLoss
2023-01-11T22:11:53.6995643Z [       OK ] LazyOpsTest.TestCosineEmbeddingLoss (61 ms)
2023-01-11T22:11:53.6996269Z [ RUN      ] LazyOpsTest.TestHingeEmbeddingLoss
2023-01-11T22:11:53.7033573Z [       OK ] LazyOpsTest.TestHingeEmbeddingLoss (3 ms)
2023-01-11T22:11:53.7034325Z [ RUN      ] LazyOpsTest.TestTripletMarginLoss
2023-01-11T22:11:53.9813021Z [       OK ] LazyOpsTest.TestTripletMarginLoss (277 ms)
2023-01-11T22:11:53.9813768Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropy
2023-01-11T22:11:53.9832680Z [       OK ] LazyOpsTest.TestBinaryCrossEntropy (2 ms)
2023-01-11T22:11:53.9833308Z [ RUN      ] LazyOpsTest.TestMarginRankingLoss
2023-01-11T22:11:54.0531561Z [       OK ] LazyOpsTest.TestMarginRankingLoss (69 ms)
2023-01-11T22:11:54.0532218Z [ RUN      ] LazyOpsTest.TestBCEWithLogits
2023-01-11T22:11:54.0548699Z [       OK ] LazyOpsTest.TestBCEWithLogits (1 ms)
2023-01-11T22:11:54.0549235Z [ RUN      ] LazyOpsTest.TestKlDiv
2023-01-11T22:11:54.0570044Z [       OK ] LazyOpsTest.TestKlDiv (2 ms)
2023-01-11T22:11:54.0570540Z [ RUN      ] LazyOpsTest.TestProd
2023-01-11T22:11:54.0571199Z [       OK ] LazyOpsTest.TestProd (0 ms)
2023-01-11T22:11:54.0571689Z [ RUN      ] LazyOpsTest.TestProdCast
2023-01-11T22:11:54.0572345Z [       OK ] LazyOpsTest.TestProdCast (0 ms)
2023-01-11T22:11:54.0572832Z [ RUN      ] LazyOpsTest.TestProdInDim
2023-01-11T22:11:54.0577639Z [       OK ] LazyOpsTest.TestProdInDim (0 ms)
2023-01-11T22:11:54.0578219Z [ RUN      ] LazyOpsTest.TestProdInDimKeepCast
2023-01-11T22:11:54.0582212Z [       OK ] LazyOpsTest.TestProdInDimKeepCast (0 ms)
2023-01-11T22:11:54.0582803Z [ RUN      ] LazyOpsTest.TestProdInDimKeep
2023-01-11T22:11:54.0587209Z [       OK ] LazyOpsTest.TestProdInDimKeep (0 ms)
2023-01-11T22:11:54.0587758Z [ RUN      ] LazyOpsTest.TestCumSum
2023-01-11T22:11:54.0602979Z [       OK ] LazyOpsTest.TestCumSum (1 ms)
2023-01-11T22:11:54.0603702Z [ RUN      ] LazyOpsTest.TestCumSumCast
2023-01-11T22:11:54.0618167Z [       OK ] LazyOpsTest.TestCumSumCast (1 ms)
2023-01-11T22:11:54.0618514Z [ RUN      ] LazyOpsTest.TestCumSumLong
2023-01-11T22:11:54.0630302Z [       OK ] LazyOpsTest.TestCumSumLong (1 ms)
2023-01-11T22:11:54.0630631Z [ RUN      ] LazyOpsTest.TestCumSumCastLong
2023-01-11T22:11:54.0642765Z [       OK ] LazyOpsTest.TestCumSumCastLong (1 ms)
2023-01-11T22:11:54.0643068Z [ RUN      ] LazyOpsTest.TestCumProd
2023-01-11T22:11:54.0647178Z [       OK ] LazyOpsTest.TestCumProd (0 ms)
2023-01-11T22:11:54.0656378Z [ RUN      ] LazyOpsTest.TestCumProdCast
2023-01-11T22:11:54.0657023Z [       OK ] LazyOpsTest.TestCumProdCast (0 ms)
2023-01-11T22:11:54.0657411Z [ RUN      ] LazyOpsTest.TestCumProdLong
2023-01-11T22:11:54.0659962Z [       OK ] LazyOpsTest.TestCumProdLong (0 ms)
2023-01-11T22:11:54.0660496Z [ RUN      ] LazyOpsTest.TestCumProdCastLong
2023-01-11T22:11:54.0668349Z [       OK ] LazyOpsTest.TestCumProdCastLong (0 ms)
2023-01-11T22:11:54.0668898Z [ RUN      ] LazyOpsTest.TestArgMin
2023-01-11T22:11:54.0669562Z [       OK ] LazyOpsTest.TestArgMin (0 ms)
2023-01-11T22:11:54.0670124Z [ RUN      ] LazyOpsTest.TestArgMinDim
2023-01-11T22:11:54.0670813Z [       OK ] LazyOpsTest.TestArgMinDim (0 ms)
2023-01-11T22:11:54.0671403Z [ RUN      ] LazyOpsTest.TestArgMinDimKeep
2023-01-11T22:11:54.0672152Z [       OK ] LazyOpsTest.TestArgMinDimKeep (0 ms)
2023-01-11T22:11:54.0672761Z [ RUN      ] LazyOpsTest.TestArgMinSameValue
2023-01-11T22:11:54.0673373Z [       OK ] LazyOpsTest.TestArgMinSameValue (0 ms)
2023-01-11T22:11:54.0673719Z [ RUN      ] LazyOpsTest.TestArgMinWrapper
2023-01-11T22:11:54.0674554Z [       OK ] LazyOpsTest.TestArgMinWrapper (0 ms)
2023-01-11T22:11:54.0675090Z [ RUN      ] LazyOpsTest.TestArgMax
2023-01-11T22:11:54.0675623Z [       OK ] LazyOpsTest.TestArgMax (0 ms)
2023-01-11T22:11:54.0676029Z [ RUN      ] LazyOpsTest.TestArgMaxDim
2023-01-11T22:11:54.0676609Z [       OK ] LazyOpsTest.TestArgMaxDim (0 ms)
2023-01-11T22:11:54.0676910Z [ RUN      ] LazyOpsTest.TestArgMaxDimKeep
2023-01-11T22:11:54.0677814Z [       OK ] LazyOpsTest.TestArgMaxDimKeep (0 ms)
2023-01-11T22:11:54.0678254Z [ RUN      ] LazyOpsTest.TestArgMaxSameValue
2023-01-11T22:11:54.0678643Z [       OK ] LazyOpsTest.TestArgMaxSameValue (0 ms)
2023-01-11T22:11:54.0678954Z [ RUN      ] LazyOpsTest.TestArgMaxWrapper
2023-01-11T22:11:54.0680390Z [       OK ] LazyOpsTest.TestArgMaxWrapper (0 ms)
2023-01-11T22:11:54.0680851Z [ RUN      ] LazyOpsTest.TestAsin
2023-01-11T22:11:54.0681613Z [       OK ] LazyOpsTest.TestAsin (0 ms)
2023-01-11T22:11:54.0682195Z [ RUN      ] LazyOpsTest.TestAsinh
2023-01-11T22:11:54.0683557Z [       OK ] LazyOpsTest.TestAsinh (0 ms)
2023-01-11T22:11:54.0684134Z [ RUN      ] LazyOpsTest.TestAsinhInPlace
2023-01-11T22:11:54.0686032Z [       OK ] LazyOpsTest.TestAsinhInPlace (0 ms)
2023-01-11T22:11:54.0686598Z [ RUN      ] LazyOpsTest.TestSin
2023-01-11T22:11:54.0687578Z [       OK ] LazyOpsTest.TestSin (0 ms)
2023-01-11T22:11:54.0688087Z [ RUN      ] LazyOpsTest.TestSinh
2023-01-11T22:11:54.0689163Z [       OK ] LazyOpsTest.TestSinh (0 ms)
2023-01-11T22:11:54.0689697Z [ RUN      ] LazyOpsTest.TestAcos
2023-01-11T22:11:54.0690884Z [       OK ] LazyOpsTest.TestAcos (0 ms)
2023-01-11T22:11:54.0691440Z [ RUN      ] LazyOpsTest.TestAcosh
2023-01-11T22:11:54.0692930Z [       OK ] LazyOpsTest.TestAcosh (0 ms)
2023-01-11T22:11:54.0693536Z [ RUN      ] LazyOpsTest.TestAcoshInPlace
2023-01-11T22:11:54.0695428Z [       OK ] LazyOpsTest.TestAcoshInPlace (0 ms)
2023-01-11T22:11:54.0695994Z [ RUN      ] LazyOpsTest.TestCos
2023-01-11T22:11:54.0699724Z [       OK ] LazyOpsTest.TestCos (0 ms)
2023-01-11T22:11:54.0700223Z [ RUN      ] LazyOpsTest.TestCosh
2023-01-11T22:11:54.0700940Z [       OK ] LazyOpsTest.TestCosh (0 ms)
2023-01-11T22:11:54.0701466Z [ RUN      ] LazyOpsTest.TestAtan
2023-01-11T22:11:54.0702641Z [       OK ] LazyOpsTest.TestAtan (0 ms)
2023-01-11T22:11:54.0703161Z [ RUN      ] LazyOpsTest.TestAtanh
2023-01-11T22:11:54.0704299Z [       OK ] LazyOpsTest.TestAtanh (0 ms)
2023-01-11T22:11:54.0704891Z [ RUN      ] LazyOpsTest.TestAtanhInPlace
2023-01-11T22:11:54.0706643Z [       OK ] LazyOpsTest.TestAtanhInPlace (0 ms)
2023-01-11T22:11:54.0707331Z [ RUN      ] LazyOpsTest.TestAtan2
2023-01-11T22:11:54.0708764Z [       OK ] LazyOpsTest.TestAtan2 (0 ms)
2023-01-11T22:11:54.0709297Z [ RUN      ] LazyOpsTest.TestTan
2023-01-11T22:11:54.0710504Z [       OK ] LazyOpsTest.TestTan (0 ms)
2023-01-11T22:11:54.0711036Z [ RUN      ] LazyOpsTest.TestTanh
2023-01-11T22:11:54.0715114Z [       OK ] LazyOpsTest.TestTanh (0 ms)
2023-01-11T22:11:54.0715716Z [ RUN      ] LazyOpsTest.TestClampMinMax
2023-01-11T22:11:54.0719409Z [       OK ] LazyOpsTest.TestClampMinMax (0 ms)
2023-01-11T22:11:54.0719738Z [ RUN      ] LazyOpsTest.TestClampMin
2023-01-11T22:11:54.0722665Z [       OK ] LazyOpsTest.TestClampMin (0 ms)
2023-01-11T22:11:54.0722962Z [ RUN      ] LazyOpsTest.TestClampMax
2023-01-11T22:11:54.0726103Z [       OK ] LazyOpsTest.TestClampMax (0 ms)
2023-01-11T22:11:54.0726479Z [ RUN      ] LazyOpsTest.TestClampMinExplicit
2023-01-11T22:11:54.0729161Z [       OK ] LazyOpsTest.TestClampMinExplicit (0 ms)
2023-01-11T22:11:54.0729561Z [ RUN      ] LazyOpsTest.TestClampMaxExplicit
2023-01-11T22:11:54.0730810Z [       OK ] LazyOpsTest.TestClampMaxExplicit (0 ms)
2023-01-11T22:11:54.0731178Z [ RUN      ] LazyOpsTest.TestClampMinExplicitInPlace
2023-01-11T22:11:54.0734463Z [       OK ] LazyOpsTest.TestClampMinExplicitInPlace (0 ms)
2023-01-11T22:11:54.0734927Z [ RUN      ] LazyOpsTest.TestClampMaxExplicitInPlace
2023-01-11T22:11:54.0735971Z [       OK ] LazyOpsTest.TestClampMaxExplicitInPlace (0 ms)
2023-01-11T22:11:54.0736427Z [ RUN      ] LazyOpsTest.TestCeil
2023-01-11T22:11:54.0737272Z [       OK ] LazyOpsTest.TestCeil (0 ms)
2023-01-11T22:11:54.0737564Z [ RUN      ] LazyOpsTest.TestFloor
2023-01-11T22:11:54.0740362Z [       OK ] LazyOpsTest.TestFloor (0 ms)
2023-01-11T22:11:54.0740672Z [ RUN      ] LazyOpsTest.TestRound
2023-01-11T22:11:54.0741690Z [       OK ] LazyOpsTest.TestRound (0 ms)
2023-01-11T22:11:54.0741984Z [ RUN      ] LazyOpsTest.TestTrunc
2023-01-11T22:11:54.0754378Z [       OK ] LazyOpsTest.TestTrunc (1 ms)
2023-01-11T22:11:54.0754715Z [ RUN      ] LazyOpsTest.TestFrac
2023-01-11T22:11:54.0757495Z [       OK ] LazyOpsTest.TestFrac (0 ms)
2023-01-11T22:11:54.0757792Z [ RUN      ] LazyOpsTest.TestNeg
2023-01-11T22:11:54.0760565Z [       OK ] LazyOpsTest.TestNeg (0 ms)
2023-01-11T22:11:54.0760868Z [ RUN      ] LazyOpsTest.TestBitwiseNot
2023-01-11T22:11:54.0762962Z [       OK ] LazyOpsTest.TestBitwiseNot (0 ms)
2023-01-11T22:11:54.0763286Z [ RUN      ] LazyOpsTest.TestBitwiseNotInPlace
2023-01-11T22:11:54.0765553Z [       OK ] LazyOpsTest.TestBitwiseNotInPlace (0 ms)
2023-01-11T22:11:54.0765891Z [ RUN      ] LazyOpsTest.TestSign
2023-01-11T22:11:54.0767527Z [       OK ] LazyOpsTest.TestSign (0 ms)
2023-01-11T22:11:54.0767953Z [ RUN      ] LazyOpsTest.TestSignByte
2023-01-11T22:11:54.0768270Z [       OK ] LazyOpsTest.TestSignByte (0 ms)
2023-01-11T22:11:54.0768554Z [ RUN      ] LazyOpsTest.TestAbs
2023-01-11T22:11:54.0770216Z [       OK ] LazyOpsTest.TestAbs (0 ms)
2023-01-11T22:11:54.0770666Z [ RUN      ] LazyOpsTest.TestAbsByte
2023-01-11T22:11:54.0772721Z [       OK ] LazyOpsTest.TestAbsByte (0 ms)
2023-01-11T22:11:54.0773031Z [ RUN      ] LazyOpsTest.TestEmptyLike
2023-01-11T22:11:54.0773350Z [       OK ] LazyOpsTest.TestEmptyLike (0 ms)
2023-01-11T22:11:54.0773674Z [ RUN      ] LazyOpsTest.TestEmptyLikeOptions
2023-01-11T22:11:54.0774023Z [       OK ] LazyOpsTest.TestEmptyLikeOptions (0 ms)
2023-01-11T22:11:54.0774321Z [ RUN      ] LazyOpsTest.TestEmpty
2023-01-11T22:11:54.0774608Z [       OK ] LazyOpsTest.TestEmpty (0 ms)
2023-01-11T22:11:54.0774913Z [ RUN      ] LazyOpsTest.TestZeroInPlace
2023-01-11T22:11:54.0776794Z [       OK ] LazyOpsTest.TestZeroInPlace (0 ms)
2023-01-11T22:11:54.0777228Z [ RUN      ] LazyOpsTest.TestZerosLike
2023-01-11T22:11:54.0777952Z [       OK ] LazyOpsTest.TestZerosLike (0 ms)
2023-01-11T22:11:54.0778383Z [ RUN      ] LazyOpsTest.TestZerosLikeOptions
2023-01-11T22:11:54.0779054Z [       OK ] LazyOpsTest.TestZerosLikeOptions (0 ms)
2023-01-11T22:11:54.0779404Z [ RUN      ] LazyOpsTest.TestZeros
2023-01-11T22:11:54.0781937Z [       OK ] LazyOpsTest.TestZeros (0 ms)
2023-01-11T22:11:54.0782274Z [ RUN      ] LazyOpsTest.TestOnes
2023-01-11T22:11:54.0785870Z [       OK ] LazyOpsTest.TestOnes (0 ms)
2023-01-11T22:11:54.0786395Z [ RUN      ] LazyOpsTest.TestOnesLike
2023-01-11T22:11:54.0787032Z [       OK ] LazyOpsTest.TestOnesLike (0 ms)
2023-01-11T22:11:54.0787583Z [ RUN      ] LazyOpsTest.TestOnesLikeOptions
2023-01-11T22:11:54.0788200Z [       OK ] LazyOpsTest.TestOnesLikeOptions (0 ms)
2023-01-11T22:11:54.0788694Z [ RUN      ] LazyOpsTest.TestFull
2023-01-11T22:11:54.0793042Z [       OK ] LazyOpsTest.TestFull (0 ms)
2023-01-11T22:11:54.0793558Z [ RUN      ] LazyOpsTest.TestFullLike
2023-01-11T22:11:54.0794337Z [       OK ] LazyOpsTest.TestFullLike (0 ms)
2023-01-11T22:11:54.0794654Z [ RUN      ] LazyOpsTest.TestFullLikeOptions
2023-01-11T22:11:54.0794995Z [       OK ] LazyOpsTest.TestFullLikeOptions (0 ms)
2023-01-11T22:11:54.0795300Z [ RUN      ] LazyOpsTest.TestARange
2023-01-11T22:11:54.0802026Z [       OK ] LazyOpsTest.TestARange (0 ms)
2023-01-11T22:11:54.0802414Z [ RUN      ] LazyOpsTest.TestARangeOut
2023-01-11T22:11:54.0802915Z [W RangeFactories.cpp:216] Warning: The number of elements in the out tensor of shape [4] is 4 which does not match the computed number of elements 200. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (200,). (function operator())
2023-01-11T22:11:54.0805418Z [       OK ] LazyOpsTest.TestARangeOut (0 ms)
2023-01-11T22:11:54.0805940Z [ RUN      ] LazyOpsTest.TestDimARange
2023-01-11T22:11:54.0809448Z [       OK ] LazyOpsTest.TestDimARange (0 ms)
2023-01-11T22:11:54.0810030Z [ RUN      ] LazyOpsTest.TestBartlettWindow
2023-01-11T22:11:54.0837020Z [       OK ] LazyOpsTest.TestBartlettWindow (2 ms)
2023-01-11T22:11:54.0837586Z [ RUN      ] LazyOpsTest.TestBlackmanWindow
2023-01-11T22:11:54.0859314Z [       OK ] LazyOpsTest.TestBlackmanWindow (2 ms)
2023-01-11T22:11:54.0859893Z [ RUN      ] LazyOpsTest.TestHammingWindow
2023-01-11T22:11:54.0875838Z [       OK ] LazyOpsTest.TestHammingWindow (1 ms)
2023-01-11T22:11:54.0876154Z [ RUN      ] LazyOpsTest.TestHannWindow
2023-01-11T22:11:54.1453292Z [       OK ] LazyOpsTest.TestHannWindow (57 ms)
2023-01-11T22:11:54.1453796Z [ RUN      ] LazyOpsTest.TestLogSigmoid
2023-01-11T22:11:54.1458129Z [       OK ] LazyOpsTest.TestLogSigmoid (0 ms)
2023-01-11T22:11:54.1458523Z [ RUN      ] LazyOpsTest.TestLogSigmoidForward
2023-01-11T22:11:54.1464334Z [       OK ] LazyOpsTest.TestLogSigmoidForward (0 ms)
2023-01-11T22:11:54.1464822Z [ RUN      ] LazyOpsTest.TestLogsumexp
2023-01-11T22:11:54.1503510Z [       OK ] LazyOpsTest.TestLogsumexp (3 ms)
2023-01-11T22:11:54.1504062Z [ RUN      ] LazyOpsTest.TestSiLU
2023-01-11T22:11:54.1506774Z [       OK ] LazyOpsTest.TestSiLU (0 ms)
2023-01-11T22:11:54.1507299Z [ RUN      ] LazyOpsTest.TestSigmoid
2023-01-11T22:11:54.1510043Z [       OK ] LazyOpsTest.TestSigmoid (0 ms)
2023-01-11T22:11:54.1510378Z [ RUN      ] LazyOpsTest.TestMatmul_1x1
2023-01-11T22:11:54.1511206Z [       OK ] LazyOpsTest.TestMatmul_1x1 (0 ms)
2023-01-11T22:11:54.1511744Z [ RUN      ] LazyOpsTest.TestMatmul_2x1
2023-01-11T22:11:54.1514893Z [       OK ] LazyOpsTest.TestMatmul_2x1 (0 ms)
2023-01-11T22:11:54.1515515Z [ RUN      ] LazyOpsTest.TestMatmul_1x2
2023-01-11T22:11:54.1519961Z [       OK ] LazyOpsTest.TestMatmul_1x2 (0 ms)
2023-01-11T22:11:54.1520519Z [ RUN      ] LazyOpsTest.TestMatmul_2x2
2023-01-11T22:11:54.1523737Z [       OK ] LazyOpsTest.TestMatmul_2x2 (0 ms)
2023-01-11T22:11:54.1524335Z [ RUN      ] LazyOpsTest.TestMatmulBcast
2023-01-11T22:11:54.1532904Z [       OK ] LazyOpsTest.TestMatmulBcast (0 ms)
2023-01-11T22:11:54.1533437Z [ RUN      ] LazyOpsTest.TestDot
2023-01-11T22:11:54.1534794Z [       OK ] LazyOpsTest.TestDot (0 ms)
2023-01-11T22:11:54.1535308Z [ RUN      ] LazyOpsTest.TestTensorDot
2023-01-11T22:11:54.1543372Z [       OK ] LazyOpsTest.TestTensorDot (0 ms)
2023-01-11T22:11:54.1543908Z [ RUN      ] LazyOpsTest.TestGer
2023-01-11T22:11:54.1547893Z [       OK ] LazyOpsTest.TestGer (0 ms)
2023-01-11T22:11:54.1548391Z [ RUN      ] LazyOpsTest.TestMv
2023-01-11T22:11:54.1551292Z [       OK ] LazyOpsTest.TestMv (0 ms)
2023-01-11T22:11:54.1551811Z [ RUN      ] LazyOpsTest.TestMvOut
2023-01-11T22:11:54.1556124Z [       OK ] LazyOpsTest.TestMvOut (0 ms)
2023-01-11T22:11:54.1556490Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMul
2023-01-11T22:11:54.1560938Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMul (0 ms)
2023-01-11T22:11:54.1561562Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMulInPlace
2023-01-11T22:11:54.1566407Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMulInPlace (0 ms)
2023-01-11T22:11:54.1566901Z [ RUN      ] LazyOpsTest.TestBatchMatMul
2023-01-11T22:11:54.1570015Z [       OK ] LazyOpsTest.TestBatchMatMul (0 ms)
2023-01-11T22:11:54.1570578Z [ RUN      ] LazyOpsTest.TestChainMatMul
2023-01-11T22:11:54.1571085Z [W LinearAlgebra.cpp:1077] Warning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (function operator())
2023-01-11T22:11:54.1576168Z [       OK ] LazyOpsTest.TestChainMatMul (0 ms)
2023-01-11T22:11:54.1576471Z [ RUN      ] LazyOpsTest.TestLinear
2023-01-11T22:11:54.1584422Z [       OK ] LazyOpsTest.TestLinear (0 ms)
2023-01-11T22:11:54.1584710Z [ RUN      ] LazyOpsTest.TestPinverse
2023-01-11T22:11:54.1603174Z [       OK ] LazyOpsTest.TestPinverse (1 ms)
2023-01-11T22:11:54.1603736Z [ RUN      ] LazyOpsTest.TestEinsumOuter
2023-01-11T22:11:54.1609988Z [       OK ] LazyOpsTest.TestEinsumOuter (0 ms)
2023-01-11T22:11:54.1610329Z [ RUN      ] LazyOpsTest.TestEinsumOuterBackward
2023-01-11T22:11:54.1632058Z [       OK ] LazyOpsTest.TestEinsumOuterBackward (2 ms)
2023-01-11T22:11:54.1632580Z [ RUN      ] LazyOpsTest.TestEinsumBatchMatMul
2023-01-11T22:11:54.1644539Z [       OK ] LazyOpsTest.TestEinsumBatchMatMul (1 ms)
2023-01-11T22:11:54.1644979Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBilinear
2023-01-11T22:11:54.1662652Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBilinear (1 ms)
2023-01-11T22:11:54.1663097Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal
2023-01-11T22:11:54.1667679Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal (0 ms)
2023-01-11T22:11:54.1668154Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal
2023-01-11T22:11:54.1672437Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal (0 ms)
2023-01-11T22:11:54.1672917Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute
2023-01-11T22:11:54.1676275Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute (0 ms)
2023-01-11T22:11:54.1676705Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis
2023-01-11T22:11:54.1686300Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis (0 ms)
2023-01-11T22:11:54.1686710Z [ RUN      ] LazyOpsTest.TestBilinear
2023-01-11T22:11:54.1824366Z [       OK ] LazyOpsTest.TestBilinear (13 ms)
2023-01-11T22:11:54.1824720Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2D
2023-01-11T22:11:54.1828647Z [       OK ] LazyOpsTest.TestUpsampleNearest2D (0 ms)
2023-01-11T22:11:54.1829025Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackward
2023-01-11T22:11:54.1840196Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackward (1 ms)
2023-01-11T22:11:54.1840604Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DWithScale
2023-01-11T22:11:54.1844478Z [       OK ] LazyOpsTest.TestUpsampleNearest2DWithScale (0 ms)
2023-01-11T22:11:54.1844980Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale
2023-01-11T22:11:54.1855780Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale (1 ms)
2023-01-11T22:11:54.1856178Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2D
2023-01-11T22:11:54.1863663Z [       OK ] LazyOpsTest.TestUpsampleBilinear2D (0 ms)
2023-01-11T22:11:54.1864046Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2DBackward
2023-01-11T22:11:54.1885035Z [       OK ] LazyOpsTest.TestUpsampleBilinear2DBackward (2 ms)
2023-01-11T22:11:54.1885449Z [ RUN      ] LazyOpsTest.TestAddCMul
2023-01-11T22:11:54.1888648Z [       OK ] LazyOpsTest.TestAddCMul (0 ms)
2023-01-11T22:11:54.1888949Z [ RUN      ] LazyOpsTest.TestAddCDiv
2023-01-11T22:11:54.1891888Z [       OK ] LazyOpsTest.TestAddCDiv (0 ms)
2023-01-11T22:11:54.1892278Z [ RUN      ] LazyOpsTest.TestAddCDivWithBroadcast
2023-01-11T22:11:54.1895032Z [       OK ] LazyOpsTest.TestAddCDivWithBroadcast (0 ms)
2023-01-11T22:11:54.1895427Z [ RUN      ] LazyOpsTest.TestSize
2023-01-11T22:11:54.1895710Z [       OK ] LazyOpsTest.TestSize (0 ms)
2023-01-11T22:11:54.1895993Z [ RUN      ] LazyOpsTest.TestSelect
2023-01-11T22:11:54.1984316Z [       OK ] LazyOpsTest.TestSelect (8 ms)
2023-01-11T22:11:54.1984698Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProb
2023-01-11T22:11:54.1989356Z [       OK ] LazyOpsTest.TestBernoulliScalarProb (0 ms)
2023-01-11T22:11:54.1989756Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProb
2023-01-11T22:11:54.1992967Z [       OK ] LazyOpsTest.TestBernoulliTensorProb (0 ms)
2023-01-11T22:11:54.1993340Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProbInPlace
2023-01-11T22:11:54.1997692Z [       OK ] LazyOpsTest.TestBernoulliScalarProbInPlace (0 ms)
2023-01-11T22:11:54.1998097Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProbInPlace
2023-01-11T22:11:54.2002385Z [       OK ] LazyOpsTest.TestBernoulliTensorProbInPlace (0 ms)
2023-01-11T22:11:54.2002943Z [ RUN      ] LazyOpsTest.TestDropout
2023-01-11T22:11:54.2006516Z [       OK ] LazyOpsTest.TestDropout (0 ms)
2023-01-11T22:11:54.2006844Z [ RUN      ] LazyOpsTest.TestDropoutInPlace
2023-01-11T22:11:54.2011930Z [       OK ] LazyOpsTest.TestDropoutInPlace (0 ms)
2023-01-11T22:11:54.2012292Z [ RUN      ] LazyOpsTest.TestRandperm
2023-01-11T22:11:54.2014628Z [       OK ] LazyOpsTest.TestRandperm (0 ms)
2023-01-11T22:11:54.2014910Z [ RUN      ] LazyOpsTest.TestSlice
2023-01-11T22:11:54.2024154Z [       OK ] LazyOpsTest.TestSlice (0 ms)
2023-01-11T22:11:54.2024494Z [ RUN      ] LazyOpsTest.TestTake
2023-01-11T22:11:54.2026105Z [       OK ] LazyOpsTest.TestTake (0 ms)
2023-01-11T22:11:54.2026419Z [ RUN      ] LazyOpsTest.TestTakeBackward
2023-01-11T22:11:54.2037142Z [       OK ] LazyOpsTest.TestTakeBackward (1 ms)
2023-01-11T22:11:54.2037485Z [ RUN      ] LazyOpsTest.TestStack
2023-01-11T22:11:54.2061880Z [       OK ] LazyOpsTest.TestStack (2 ms)
2023-01-11T22:11:54.2062206Z [ RUN      ] LazyOpsTest.TestCat
2023-01-11T22:11:54.2069151Z [       OK ] LazyOpsTest.TestCat (0 ms)
2023-01-11T22:11:54.2069465Z [ RUN      ] LazyOpsTest.TestUnbind
2023-01-11T22:11:54.2081494Z [       OK ] LazyOpsTest.TestUnbind (1 ms)
2023-01-11T22:11:54.2081797Z [ RUN      ] LazyOpsTest.TestRepeat
2023-01-11T22:11:54.2093018Z [       OK ] LazyOpsTest.TestRepeat (1 ms)
2023-01-11T22:11:54.2093327Z [ RUN      ] LazyOpsTest.TestGather
2023-01-11T22:11:54.2099482Z [       OK ] LazyOpsTest.TestGather (0 ms)
2023-01-11T22:11:54.2099859Z [ RUN      ] LazyOpsTest.TestScatter
2023-01-11T22:11:54.2102912Z [       OK ] LazyOpsTest.TestScatter (0 ms)
2023-01-11T22:11:54.2103245Z [ RUN      ] LazyOpsTest.TestScatterR1
2023-01-11T22:11:54.2104140Z [       OK ] LazyOpsTest.TestScatterR1 (0 ms)
2023-01-11T22:11:54.2104514Z [ RUN      ] LazyOpsTest.TestScatterR3
2023-01-11T22:11:54.2106717Z [       OK ] LazyOpsTest.TestScatterR3 (0 ms)
2023-01-11T22:11:54.2107142Z [ RUN      ] LazyOpsTest.TestScatterBiggerSource
2023-01-11T22:11:54.2109667Z [       OK ] LazyOpsTest.TestScatterBiggerSource (0 ms)
2023-01-11T22:11:54.2110018Z [ RUN      ] LazyOpsTest.TestScatterScalar
2023-01-11T22:11:54.2111990Z [       OK ] LazyOpsTest.TestScatterScalar (0 ms)
2023-01-11T22:11:54.2112351Z [ RUN      ] LazyOpsTest.TestScatterReduceAdd
2023-01-11T22:11:54.2115244Z [       OK ] LazyOpsTest.TestScatterReduceAdd (0 ms)
2023-01-11T22:11:54.2115582Z [ RUN      ] LazyOpsTest.TestScatterAdd
2023-01-11T22:11:54.2122555Z [       OK ] LazyOpsTest.TestScatterAdd (0 ms)
2023-01-11T22:11:54.2123171Z [ RUN      ] LazyOpsTest.TestScatterAddInPlace
2023-01-11T22:11:54.2130266Z [       OK ] LazyOpsTest.TestScatterAddInPlace (0 ms)
2023-01-11T22:11:54.2130832Z [ RUN      ] LazyOpsTest.TestIndexSelect
2023-01-11T22:11:54.2221021Z [       OK ] LazyOpsTest.TestIndexSelect (9 ms)
2023-01-11T22:11:54.2221646Z [ RUN      ] LazyOpsTest.TestIndexSelectRank0
2023-01-11T22:11:54.2244506Z [       OK ] LazyOpsTest.TestIndexSelectRank0 (2 ms)
2023-01-11T22:11:54.2244840Z [ RUN      ] LazyOpsTest.TestInverse
2023-01-11T22:11:54.2249902Z [       OK ] LazyOpsTest.TestInverse (0 ms)
2023-01-11T22:11:54.2250228Z [ RUN      ] LazyOpsTest.TestIsnan
2023-01-11T22:11:54.2250579Z [       OK ] LazyOpsTest.TestIsnan (0 ms)
2023-01-11T22:11:54.2250867Z [ RUN      ] LazyOpsTest.TestExpand
2023-01-11T22:11:54.2253936Z [       OK ] LazyOpsTest.TestExpand (0 ms)
2023-01-11T22:11:54.2254227Z [ RUN      ] LazyOpsTest.TestExpandBack
2023-01-11T22:11:54.2257259Z [       OK ] LazyOpsTest.TestExpandBack (0 ms)
2023-01-11T22:11:54.2257686Z [ RUN      ] LazyOpsTest.TestExpandAs
2023-01-11T22:11:54.2261178Z [       OK ] LazyOpsTest.TestExpandAs (0 ms)
2023-01-11T22:11:54.2261600Z [ RUN      ] LazyOpsTest.TestEye
2023-01-11T22:11:54.2262265Z [       OK ] LazyOpsTest.TestEye (0 ms)
2023-01-11T22:11:54.2262644Z [ RUN      ] LazyOpsTest.TestEyeWide
2023-01-11T22:11:54.2263339Z [       OK ] LazyOpsTest.TestEyeWide (0 ms)
2023-01-11T22:11:54.2263787Z [ RUN      ] LazyOpsTest.TestEyeNarrow
2023-01-11T22:11:54.2264665Z [       OK ] LazyOpsTest.TestEyeNarrow (0 ms)
2023-01-11T22:11:54.2264984Z [ RUN      ] LazyOpsTest.TestBroadcastTensors
2023-01-11T22:11:54.2271166Z [       OK ] LazyOpsTest.TestBroadcastTensors (0 ms)
2023-01-11T22:11:54.2271688Z [ RUN      ] LazyOpsTest.TestOneIndex
2023-01-11T22:11:54.2288796Z [       OK ] LazyOpsTest.TestOneIndex (1 ms)
2023-01-11T22:11:54.2289376Z [ RUN      ] LazyOpsTest.TestOneIndexTransfer
2023-01-11T22:11:54.2303290Z [       OK ] LazyOpsTest.TestOneIndexTransfer (1 ms)
2023-01-11T22:11:54.2303826Z [ RUN      ] LazyOpsTest.TestNonzero
2023-01-11T22:11:54.2304872Z [       OK ] LazyOpsTest.TestNonzero (0 ms)
2023-01-11T22:11:54.2305426Z [ RUN      ] LazyOpsTest.TestMaskedSelect
2023-01-11T22:11:54.2306722Z [       OK ] LazyOpsTest.TestMaskedSelect (0 ms)
2023-01-11T22:11:54.2307312Z [ RUN      ] LazyOpsTest.TestMaskedScatter
2023-01-11T22:11:54.2309633Z [       OK ] LazyOpsTest.TestMaskedScatter (0 ms)
2023-01-11T22:11:54.2309997Z [ RUN      ] LazyOpsTest.TestMultiIndexHeadNull
2023-01-11T22:11:54.2321345Z [       OK ] LazyOpsTest.TestMultiIndexHeadNull (1 ms)
2023-01-11T22:11:54.2322019Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleNull
2023-01-11T22:11:54.2331483Z [       OK ] LazyOpsTest.TestMultiIndexMiddleNull (0 ms)
2023-01-11T22:11:54.2332050Z [ RUN      ] LazyOpsTest.TestMultiIndexTailNull
2023-01-11T22:11:54.2342490Z [       OK ] LazyOpsTest.TestMultiIndexTailNull (1 ms)
2023-01-11T22:11:54.2343185Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleBroadcast
2023-01-11T22:11:54.2353275Z [       OK ] LazyOpsTest.TestMultiIndexMiddleBroadcast (1 ms)
2023-01-11T22:11:54.2353904Z [ RUN      ] LazyOpsTest.TestMultiIndexTailBroadcast
2023-01-11T22:11:54.2360756Z [       OK ] LazyOpsTest.TestMultiIndexTailBroadcast (0 ms)
2023-01-11T22:11:54.2361324Z [ RUN      ] LazyOpsTest.TestMaskIndex
2023-01-11T22:11:54.2365022Z [       OK ] LazyOpsTest.TestMaskIndex (0 ms)
2023-01-11T22:11:54.2365599Z [ RUN      ] LazyOpsTest.TestOneIndexPut
2023-01-11T22:11:54.2398256Z [       OK ] LazyOpsTest.TestOneIndexPut (3 ms)
2023-01-11T22:11:54.2398610Z [ RUN      ] LazyOpsTest.TestOneIndexPutInPlace
2023-01-11T22:11:54.2426392Z [       OK ] LazyOpsTest.TestOneIndexPutInPlace (2 ms)
2023-01-11T22:11:54.2426811Z [ RUN      ] LazyOpsTest.TestOneIndexPutTransfer
2023-01-11T22:11:54.2447833Z [       OK ] LazyOpsTest.TestOneIndexPutTransfer (2 ms)
2023-01-11T22:11:54.2448196Z [ RUN      ] LazyOpsTest.TestMultiIndexPut
2023-01-11T22:11:54.2468847Z [       OK ] LazyOpsTest.TestMultiIndexPut (2 ms)
2023-01-11T22:11:54.2469201Z [ RUN      ] LazyOpsTest.TestMultiIndexPutHeadNull
2023-01-11T22:11:54.2499136Z [       OK ] LazyOpsTest.TestMultiIndexPutHeadNull (2 ms)
2023-01-11T22:11:54.2499522Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleNull
2023-01-11T22:11:54.2517940Z [       OK ] LazyOpsTest.TestMultiIndexPutMiddleNull (1 ms)
2023-01-11T22:11:54.2518326Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailNull
2023-01-11T22:11:54.2537202Z [       OK ] LazyOpsTest.TestMultiIndexPutTailNull (1 ms)
2023-01-11T22:11:54.2537683Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast
2023-01-11T22:11:54.2558960Z [       OK ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast (2 ms)
2023-01-11T22:11:54.2559365Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailBroadcast
2023-01-11T22:11:54.2576562Z [       OK ] LazyOpsTest.TestMultiIndexPutTailBroadcast (1 ms)
2023-01-11T22:11:54.2576923Z [ RUN      ] LazyOpsTest.TestMaskIndexPut
2023-01-11T22:11:54.2597463Z [       OK ] LazyOpsTest.TestMaskIndexPut (2 ms)
2023-01-11T22:11:54.2597876Z [ RUN      ] LazyOpsTest.TestIndexPutImpl
2023-01-11T22:11:54.2624841Z [       OK ] LazyOpsTest.TestIndexPutImpl (2 ms)
2023-01-11T22:11:54.2625190Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalar
2023-01-11T22:11:54.2657245Z [       OK ] LazyOpsTest.TestIndexFillWithScalar (3 ms)
2023-01-11T22:11:54.2657628Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalarInPlace
2023-01-11T22:11:54.2685649Z [       OK ] LazyOpsTest.TestIndexFillWithScalarInPlace (2 ms)
2023-01-11T22:11:54.2686036Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensor
2023-01-11T22:11:54.2712992Z [       OK ] LazyOpsTest.TestIndexFillWithTensor (2 ms)
2023-01-11T22:11:54.2713376Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensorInPlace
2023-01-11T22:11:54.2746167Z [       OK ] LazyOpsTest.TestIndexFillWithTensorInPlace (3 ms)
2023-01-11T22:11:54.2746533Z [ RUN      ] LazyOpsTest.TestIndexFillRank0
2023-01-11T22:11:54.2773340Z [       OK ] LazyOpsTest.TestIndexFillRank0 (2 ms)
2023-01-11T22:11:54.2773671Z [ RUN      ] LazyOpsTest.TestIndexAdd
2023-01-11T22:11:54.2842769Z [       OK ] LazyOpsTest.TestIndexAdd (6 ms)
2023-01-11T22:11:54.2843080Z [ RUN      ] LazyOpsTest.TestIndexAddInPlace
2023-01-11T22:11:54.2895844Z [       OK ] LazyOpsTest.TestIndexAddInPlace (5 ms)
2023-01-11T22:11:54.2896181Z [ RUN      ] LazyOpsTest.TestIndexAddRank0
2023-01-11T22:11:54.2916883Z [       OK ] LazyOpsTest.TestIndexAddRank0 (2 ms)
2023-01-11T22:11:54.2917194Z [ RUN      ] LazyOpsTest.TestIndexCopy
2023-01-11T22:11:54.2939481Z [       OK ] LazyOpsTest.TestIndexCopy (2 ms)
2023-01-11T22:11:54.2939807Z [ RUN      ] LazyOpsTest.TestIndexCopyInPlace
2023-01-11T22:11:54.2967511Z [       OK ] LazyOpsTest.TestIndexCopyInPlace (2 ms)
2023-01-11T22:11:54.2967851Z [ RUN      ] LazyOpsTest.TestIndexCopyRank0
2023-01-11T22:11:54.2988004Z [       OK ] LazyOpsTest.TestIndexCopyRank0 (2 ms)
2023-01-11T22:11:54.2988338Z [ RUN      ] LazyOpsTest.TestRelu
2023-01-11T22:11:54.2990764Z [       OK ] LazyOpsTest.TestRelu (0 ms)
2023-01-11T22:11:54.2991124Z [ RUN      ] LazyOpsTest.TestReluInPlace
2023-01-11T22:11:54.2994547Z [       OK ] LazyOpsTest.TestReluInPlace (0 ms)
2023-01-11T22:11:54.2994939Z [ RUN      ] LazyOpsTest.TestHardshrink
2023-01-11T22:11:54.2995904Z [       OK ] LazyOpsTest.TestHardshrink (0 ms)
2023-01-11T22:11:54.2996273Z [ RUN      ] LazyOpsTest.TestHardSigmoid
2023-01-11T22:11:54.2999316Z [       OK ] LazyOpsTest.TestHardSigmoid (0 ms)
2023-01-11T22:11:54.2999697Z [ RUN      ] LazyOpsTest.TestHardSigmoidInPlace
2023-01-11T22:11:54.3002987Z [       OK ] LazyOpsTest.TestHardSigmoidInPlace (0 ms)
2023-01-11T22:11:54.3003569Z [ RUN      ] LazyOpsTest.TestHardSigmoidBackward
2023-01-11T22:11:54.3012489Z [       OK ] LazyOpsTest.TestHardSigmoidBackward (0 ms)
2023-01-11T22:11:54.3012966Z [ RUN      ] LazyOpsTest.TestSoftshrink
2023-01-11T22:11:54.3013776Z [       OK ] LazyOpsTest.TestSoftshrink (0 ms)
2023-01-11T22:11:54.3014112Z [ RUN      ] LazyOpsTest.TestHardtanh
2023-01-11T22:11:54.3015116Z [       OK ] LazyOpsTest.TestHardtanh (0 ms)
2023-01-11T22:11:54.3015497Z [ RUN      ] LazyOpsTest.TestHardtanhInPlace
2023-01-11T22:11:54.3016960Z [       OK ] LazyOpsTest.TestHardtanhInPlace (0 ms)
2023-01-11T22:11:54.3017418Z [ RUN      ] LazyOpsTest.TestLeakyRelu
2023-01-11T22:11:54.3020300Z [       OK ] LazyOpsTest.TestLeakyRelu (0 ms)
2023-01-11T22:11:54.3020618Z [ RUN      ] LazyOpsTest.TestLeakyReluInPlace
2023-01-11T22:11:54.3023894Z [       OK ] LazyOpsTest.TestLeakyReluInPlace (0 ms)
2023-01-11T22:11:54.3024205Z [ RUN      ] LazyOpsTest.TestExp
2023-01-11T22:11:54.3026840Z [       OK ] LazyOpsTest.TestExp (0 ms)
2023-01-11T22:11:54.3027215Z [ RUN      ] LazyOpsTest.TestExpm1
2023-01-11T22:11:54.3028358Z [       OK ] LazyOpsTest.TestExpm1 (0 ms)
2023-01-11T22:11:54.3028641Z [ RUN      ] LazyOpsTest.TestLog
2023-01-11T22:11:54.3031556Z [       OK ] LazyOpsTest.TestLog (0 ms)
2023-01-11T22:11:54.3031914Z [ RUN      ] LazyOpsTest.TestLog2
2023-01-11T22:11:54.3034948Z [       OK ] LazyOpsTest.TestLog2 (0 ms)
2023-01-11T22:11:54.3035298Z [ RUN      ] LazyOpsTest.TestLog10
2023-01-11T22:11:54.3036318Z [       OK ] LazyOpsTest.TestLog10 (0 ms)
2023-01-11T22:11:54.3036611Z [ RUN      ] LazyOpsTest.TestLog1p
2023-01-11T22:11:54.3037915Z [       OK ] LazyOpsTest.TestLog1p (0 ms)
2023-01-11T22:11:54.3038201Z [ RUN      ] LazyOpsTest.TestErf
2023-01-11T22:11:54.3039485Z [       OK ] LazyOpsTest.TestErf (0 ms)
2023-01-11T22:11:54.3039848Z [ RUN      ] LazyOpsTest.TestErfc
2023-01-11T22:11:54.3040732Z [       OK ] LazyOpsTest.TestErfc (0 ms)
2023-01-11T22:11:54.3041094Z [ RUN      ] LazyOpsTest.TestErfinv
2023-01-11T22:11:54.3042012Z [       OK ] LazyOpsTest.TestErfinv (0 ms)
2023-01-11T22:11:54.3042331Z [ RUN      ] LazyOpsTest.TestSqrt
2023-01-11T22:11:54.3046061Z [       OK ] LazyOpsTest.TestSqrt (0 ms)
2023-01-11T22:11:54.3046383Z [ RUN      ] LazyOpsTest.TestRsqrt
2023-01-11T22:11:54.3049482Z [       OK ] LazyOpsTest.TestRsqrt (0 ms)
2023-01-11T22:11:54.3049779Z [ RUN      ] LazyOpsTest.TestReciprocal
2023-01-11T22:11:54.3053118Z [       OK ] LazyOpsTest.TestReciprocal (0 ms)
2023-01-11T22:11:54.3053474Z [ RUN      ] LazyOpsTest.TestPowTensorScalar
2023-01-11T22:11:54.3056284Z [       OK ] LazyOpsTest.TestPowTensorScalar (0 ms)
2023-01-11T22:11:54.3056635Z [ RUN      ] LazyOpsTest.TestPowTensorScalarInPlace
2023-01-11T22:11:54.3060309Z [       OK ] LazyOpsTest.TestPowTensorScalarInPlace (0 ms)
2023-01-11T22:11:54.3060672Z [ RUN      ] LazyOpsTest.TestPowTensorTensor
2023-01-11T22:11:54.3063881Z [       OK ] LazyOpsTest.TestPowTensorTensor (0 ms)
2023-01-11T22:11:54.3064227Z [ RUN      ] LazyOpsTest.TestPowTensorTensorInPlace
2023-01-11T22:11:54.3083941Z [       OK ] LazyOpsTest.TestPowTensorTensorInPlace (1 ms)
2023-01-11T22:11:54.3084333Z [ RUN      ] LazyOpsTest.TestPowTensorTensorBroadcast
2023-01-11T22:11:54.3087288Z [       OK ] LazyOpsTest.TestPowTensorTensorBroadcast (0 ms)
2023-01-11T22:11:54.3087695Z [ RUN      ] LazyOpsTest.TestPowScalarTensor
2023-01-11T22:11:54.3088737Z [       OK ] LazyOpsTest.TestPowScalarTensor (0 ms)
2023-01-11T22:11:54.3089104Z [ RUN      ] LazyOpsTest.TestPowIntExponent
2023-01-11T22:11:54.3091846Z [       OK ] LazyOpsTest.TestPowIntExponent (0 ms)
2023-01-11T22:11:54.3092272Z [ RUN      ] LazyOpsTest.TestFmodScalar
2023-01-11T22:11:54.3093115Z [       OK ] LazyOpsTest.TestFmodScalar (0 ms)
2023-01-11T22:11:54.3093469Z [ RUN      ] LazyOpsTest.TestFmodScalarInPlace
2023-01-11T22:11:54.3095442Z [       OK ] LazyOpsTest.TestFmodScalarInPlace (0 ms)
2023-01-11T22:11:54.3095937Z [ RUN      ] LazyOpsTest.TestFmodTensor
2023-01-11T22:11:54.3096456Z [       OK ] LazyOpsTest.TestFmodTensor (0 ms)
2023-01-11T22:11:54.3096777Z [ RUN      ] LazyOpsTest.TestFmodTensorInPlace
2023-01-11T22:11:54.3098818Z [       OK ] LazyOpsTest.TestFmodTensorInPlace (0 ms)
2023-01-11T22:11:54.3099166Z [ RUN      ] LazyOpsTest.TestRemainderScalar
2023-01-11T22:11:54.3102376Z [       OK ] LazyOpsTest.TestRemainderScalar (0 ms)
2023-01-11T22:11:54.3102747Z [ RUN      ] LazyOpsTest.TestRemainderScalarInPlace
2023-01-11T22:11:54.3106416Z [       OK ] LazyOpsTest.TestRemainderScalarInPlace (0 ms)
2023-01-11T22:11:54.3106909Z [ RUN      ] LazyOpsTest.TestRemainderTensor
2023-01-11T22:11:54.3109506Z [       OK ] LazyOpsTest.TestRemainderTensor (0 ms)
2023-01-11T22:11:54.3109976Z [ RUN      ] LazyOpsTest.TestRemainderTensorInPlace
2023-01-11T22:11:54.3114364Z [       OK ] LazyOpsTest.TestRemainderTensorInPlace (0 ms)
2023-01-11T22:11:54.3114760Z [ RUN      ] LazyOpsTest.TestWhere
2023-01-11T22:11:54.3115288Z [W TensorCompare.cpp:493] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator())
2023-01-11T22:11:54.3115903Z [       OK ] LazyOpsTest.TestWhere (0 ms)
2023-01-11T22:11:54.3116300Z [ RUN      ] LazyOpsTest.TestWhereBroadcast
2023-01-11T22:11:54.3117621Z [       OK ] LazyOpsTest.TestWhereBroadcast (0 ms)
2023-01-11T22:11:54.3118172Z [ RUN      ] LazyOpsTest.TestThreshold
2023-01-11T22:11:54.3120753Z [       OK ] LazyOpsTest.TestThreshold (0 ms)
2023-01-11T22:11:54.3121347Z [ RUN      ] LazyOpsTest.TestThresholdBackward
2023-01-11T22:11:54.3129990Z [       OK ] LazyOpsTest.TestThresholdBackward (0 ms)
2023-01-11T22:11:54.3130591Z [ RUN      ] LazyOpsTest.TestThresholdInPlace
2023-01-11T22:11:54.3133595Z [       OK ] LazyOpsTest.TestThresholdInPlace (0 ms)
2023-01-11T22:11:54.3134133Z [ RUN      ] LazyOpsTest.TestElu
2023-01-11T22:11:54.3136753Z [       OK ] LazyOpsTest.TestElu (0 ms)
2023-01-11T22:11:54.3137299Z [ RUN      ] LazyOpsTest.TestEluInPlace
2023-01-11T22:11:54.3140729Z [       OK ] LazyOpsTest.TestEluInPlace (0 ms)
2023-01-11T22:11:54.3141252Z [ RUN      ] LazyOpsTest.TestSelu
2023-01-11T22:11:54.3143805Z [       OK ] LazyOpsTest.TestSelu (0 ms)
2023-01-11T22:11:54.3144357Z [ RUN      ] LazyOpsTest.TestSeluInPlace
2023-01-11T22:11:54.3147763Z [       OK ] LazyOpsTest.TestSeluInPlace (0 ms)
2023-01-11T22:11:54.3148291Z [ RUN      ] LazyOpsTest.TestCelu
2023-01-11T22:11:54.3149267Z [       OK ] LazyOpsTest.TestCelu (0 ms)
2023-01-11T22:11:54.3149812Z [ RUN      ] LazyOpsTest.TestCeluInPlace
2023-01-11T22:11:54.3151423Z [       OK ] LazyOpsTest.TestCeluInPlace (0 ms)
2023-01-11T22:11:54.3151959Z [ RUN      ] LazyOpsTest.TestGelu
2023-01-11T22:11:54.3160542Z [       OK ] LazyOpsTest.TestGelu (0 ms)
2023-01-11T22:11:54.3161080Z [ RUN      ] LazyOpsTest.TestAddMatMul
2023-01-11T22:11:54.3177323Z [       OK ] LazyOpsTest.TestAddMatMul (1 ms)
2023-01-11T22:11:54.3177873Z [ RUN      ] LazyOpsTest.TestEmbedding
2023-01-11T22:11:54.3182270Z [       OK ] LazyOpsTest.TestEmbedding (0 ms)
2023-01-11T22:11:54.3182799Z [ RUN      ] LazyOpsTest.TestOneHot
2023-01-11T22:11:54.3189501Z [       OK ] LazyOpsTest.TestOneHot (0 ms)
2023-01-11T22:11:54.3190054Z [ RUN      ] LazyOpsTest.TestTranspose
2023-01-11T22:11:54.3192399Z [       OK ] LazyOpsTest.TestTranspose (0 ms)
2023-01-11T22:11:54.3192971Z [ RUN      ] LazyOpsTest.TestTransposeInPlace
2023-01-11T22:11:54.3196063Z [       OK ] LazyOpsTest.TestTransposeInPlace (0 ms)
2023-01-11T22:11:54.3196628Z [ RUN      ] LazyOpsTest.TestReshape
2023-01-11T22:11:54.3202803Z [       OK ] LazyOpsTest.TestReshape (0 ms)
2023-01-11T22:11:54.3203344Z [ RUN      ] LazyOpsTest.TestResize
2023-01-11T22:11:54.3208475Z [       OK ] LazyOpsTest.TestResize (0 ms)
2023-01-11T22:11:54.3209179Z [ RUN      ] LazyOpsTest.TestViewResize
2023-01-11T22:11:54.3214994Z [       OK ] LazyOpsTest.TestViewResize (0 ms)
2023-01-11T22:11:54.3215535Z [ RUN      ] LazyOpsTest.TestView
2023-01-11T22:11:54.3221752Z [       OK ] LazyOpsTest.TestView (0 ms)
2023-01-11T22:11:54.3222263Z [ RUN      ] LazyOpsTest.TestViewMod
2023-01-11T22:11:54.3239151Z [       OK ] LazyOpsTest.TestViewMod (1 ms)
2023-01-11T22:11:54.3239720Z [ RUN      ] LazyOpsTest.TestViewModComplex
2023-01-11T22:11:54.3258940Z [       OK ] LazyOpsTest.TestViewModComplex (1 ms)
2023-01-11T22:11:54.3259490Z [ RUN      ] LazyOpsTest.TestViewOfViewMod
2023-01-11T22:11:54.3282674Z [       OK ] LazyOpsTest.TestViewOfViewMod (2 ms)
2023-01-11T22:11:54.3283078Z [ RUN      ] LazyOpsTest.TestViewSqueezeAddInPlace
2023-01-11T22:11:54.3294166Z [       OK ] LazyOpsTest.TestViewSqueezeAddInPlace (1 ms)
2023-01-11T22:11:54.3294579Z [ RUN      ] LazyOpsTest.TestUnsafeView
2023-01-11T22:11:54.3299464Z [       OK ] LazyOpsTest.TestUnsafeView (0 ms)
2023-01-11T22:11:54.3299824Z [ RUN      ] LazyOpsTest.TestNarrow
2023-01-11T22:11:54.3316619Z [       OK ] LazyOpsTest.TestNarrow (1 ms)
2023-01-11T22:11:54.3316999Z [ RUN      ] LazyOpsTest.TestNarrowUpdate
2023-01-11T22:11:54.3344534Z [       OK ] LazyOpsTest.TestNarrowUpdate (2 ms)
2023-01-11T22:11:54.3344945Z [ RUN      ] LazyOpsTest.TestNarrowUpdateBaseCheck
2023-01-11T22:11:54.3367769Z [       OK ] LazyOpsTest.TestNarrowUpdateBaseCheck (2 ms)
2023-01-11T22:11:54.3368213Z [ RUN      ] LazyOpsTest.TestNarrowUpdateTwoSlices
2023-01-11T22:11:54.3485247Z [       OK ] LazyOpsTest.TestNarrowUpdateTwoSlices (11 ms)
2023-01-11T22:11:54.3485738Z [ RUN      ] LazyOpsTest.TestNarrowUpdateView
2023-01-11T22:11:54.3519242Z [       OK ] LazyOpsTest.TestNarrowUpdateView (3 ms)
2023-01-11T22:11:54.3519848Z [ RUN      ] LazyOpsTest.TestNarrowInNarrowUpdate
2023-01-11T22:11:54.3562964Z [       OK ] LazyOpsTest.TestNarrowInNarrowUpdate (4 ms)
2023-01-11T22:11:54.3563678Z [ RUN      ] LazyOpsTest.TestNarrowCopy
2023-01-11T22:11:54.3571854Z [       OK ] LazyOpsTest.TestNarrowCopy (0 ms)
2023-01-11T22:11:54.3572282Z [ RUN      ] LazyOpsTest.TestViewAs
2023-01-11T22:11:54.3581165Z [       OK ] LazyOpsTest.TestViewAs (0 ms)
2023-01-11T22:11:54.3581487Z [ RUN      ] LazyOpsTest.TestLogSoftmax
2023-01-11T22:11:54.3606499Z [       OK ] LazyOpsTest.TestLogSoftmax (2 ms)
2023-01-11T22:11:54.3606818Z [ RUN      ] LazyOpsTest.TestLogSoftmaxCast
2023-01-11T22:11:54.3640533Z [       OK ] LazyOpsTest.TestLogSoftmaxCast (3 ms)
2023-01-11T22:11:54.3640892Z [ RUN      ] LazyOpsTest.TestLogSoftmaxWrapper
2023-01-11T22:11:54.3666245Z [       OK ] LazyOpsTest.TestLogSoftmaxWrapper (2 ms)
2023-01-11T22:11:54.3666611Z [ RUN      ] LazyOpsTest.TestSoftmax
2023-01-11T22:11:54.3689103Z [       OK ] LazyOpsTest.TestSoftmax (2 ms)
2023-01-11T22:11:54.3689409Z [ RUN      ] LazyOpsTest.TestSoftmaxCast
2023-01-11T22:11:54.3721908Z [       OK ] LazyOpsTest.TestSoftmaxCast (3 ms)
2023-01-11T22:11:54.3722237Z [ RUN      ] LazyOpsTest.TestSoftmaxWrapper
2023-01-11T22:11:54.3746685Z [       OK ] LazyOpsTest.TestSoftmaxWrapper (2 ms)
2023-01-11T22:11:54.3747005Z [ RUN      ] LazyOpsTest.TestSoftplus
2023-01-11T22:11:54.3750063Z [       OK ] LazyOpsTest.TestSoftplus (0 ms)
2023-01-11T22:11:54.3750366Z [ RUN      ] LazyOpsTest.TestMaxPool1D
2023-01-11T22:11:54.3857759Z [       OK ] LazyOpsTest.TestMaxPool1D (10 ms)
2023-01-11T22:11:54.3858065Z [ RUN      ] LazyOpsTest.TestMaxPool2D
2023-01-11T22:11:54.3934412Z [       OK ] LazyOpsTest.TestMaxPool2D (7 ms)
2023-01-11T22:11:54.3934982Z [ RUN      ] LazyOpsTest.TestMaxPool2DWithIndices
2023-01-11T22:11:54.4085196Z [       OK ] LazyOpsTest.TestMaxPool2DWithIndices (15 ms)
2023-01-11T22:11:54.4085565Z [ RUN      ] LazyOpsTest.TestMaxPool2DNonSquare
2023-01-11T22:11:54.4159523Z [       OK ] LazyOpsTest.TestMaxPool2DNonSquare (7 ms)
2023-01-11T22:11:54.4159868Z [ RUN      ] LazyOpsTest.TestMaxPool3D
2023-01-11T22:11:54.4179874Z [       OK ] LazyOpsTest.TestMaxPool3D (2 ms)
2023-01-11T22:11:54.4180366Z [ RUN      ] LazyOpsTest.TestMaxPool3DWithIndices
2023-01-11T22:11:54.4205983Z [       OK ] LazyOpsTest.TestMaxPool3DWithIndices (2 ms)
2023-01-11T22:11:54.4206380Z [ RUN      ] LazyOpsTest.TestMaxPool3DIncompleteAttributes
2023-01-11T22:11:54.4219018Z [       OK ] LazyOpsTest.TestMaxPool3DIncompleteAttributes (1 ms)
2023-01-11T22:11:54.4219401Z [ RUN      ] LazyOpsTest.TestMaxPool3DNonSquare
2023-01-11T22:11:54.4235666Z [       OK ] LazyOpsTest.TestMaxPool3DNonSquare (1 ms)
2023-01-11T22:11:54.4236074Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatch
2023-01-11T22:11:54.4311016Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatch (7 ms)
2023-01-11T22:11:54.4311418Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatch
2023-01-11T22:11:54.4330787Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatch (1 ms)
2023-01-11T22:11:54.4331175Z [ RUN      ] LazyOpsTest.TestAvgPool1D
2023-01-11T22:11:54.4415897Z [       OK ] LazyOpsTest.TestAvgPool1D (8 ms)
2023-01-11T22:11:54.4416273Z [ RUN      ] LazyOpsTest.TestAvgPool2D
2023-01-11T22:11:54.4484913Z [       OK ] LazyOpsTest.TestAvgPool2D (6 ms)
2023-01-11T22:11:54.4485239Z [ RUN      ] LazyOpsTest.TestAvgPool2DNonSquare
2023-01-11T22:11:54.4551071Z [       OK ] LazyOpsTest.TestAvgPool2DNonSquare (6 ms)
2023-01-11T22:11:54.4551404Z [ RUN      ] LazyOpsTest.TestAvgPool3D
2023-01-11T22:11:54.4564493Z [       OK ] LazyOpsTest.TestAvgPool3D (1 ms)
2023-01-11T22:11:54.4564927Z [ RUN      ] LazyOpsTest.TestAvgPool3DIncompleteAttributes
2023-01-11T22:11:54.4575219Z [       OK ] LazyOpsTest.TestAvgPool3DIncompleteAttributes (1 ms)
2023-01-11T22:11:54.4575666Z [ RUN      ] LazyOpsTest.TestAvgPool3DNonSquare
2023-01-11T22:11:54.4586620Z [       OK ] LazyOpsTest.TestAvgPool3DNonSquare (1 ms)
2023-01-11T22:11:54.4587031Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatch
2023-01-11T22:11:54.4650202Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatch (6 ms)
2023-01-11T22:11:54.4650602Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatch
2023-01-11T22:11:54.4663325Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatch (1 ms)
2023-01-11T22:11:54.4663740Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2D
2023-01-11T22:11:54.4671730Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2D (0 ms)
2023-01-11T22:11:54.4672143Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3D
2023-01-11T22:11:54.4895961Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3D (22 ms)
2023-01-11T22:11:54.4896345Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch
2023-01-11T22:11:54.4917333Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch (2 ms)
2023-01-11T22:11:54.4917809Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch
2023-01-11T22:11:54.4925616Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch (0 ms)
2023-01-11T22:11:54.4925973Z [ RUN      ] LazyOpsTest.TestMaxUnpool2D
2023-01-11T22:11:54.4957094Z [       OK ] LazyOpsTest.TestMaxUnpool2D (3 ms)
2023-01-11T22:11:54.4957418Z [ RUN      ] LazyOpsTest.TestMaxUnpool3D
2023-01-11T22:11:54.4981359Z [       OK ] LazyOpsTest.TestMaxUnpool3D (2 ms)
2023-01-11T22:11:54.4981700Z [ RUN      ] LazyOpsTest.TestNllLoss
2023-01-11T22:11:54.4981989Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:8173: Skipped
2023-01-11T22:11:54.4982397Z 
2023-01-11T22:11:54.4982575Z [  SKIPPED ] LazyOpsTest.TestNllLoss (0 ms)
2023-01-11T22:11:54.4982949Z [ RUN      ] LazyOpsTest.TestNllLoss2d
2023-01-11T22:11:54.5065061Z [       OK ] LazyOpsTest.TestNllLoss2d (8 ms)
2023-01-11T22:11:54.5065382Z [ RUN      ] LazyOpsTest.TestSmoothL1Loss
2023-01-11T22:11:54.5082054Z [       OK ] LazyOpsTest.TestSmoothL1Loss (1 ms)
2023-01-11T22:11:54.5082519Z [ RUN      ] LazyOpsTest.TestL1Loss
2023-01-11T22:11:54.5092926Z [       OK ] LazyOpsTest.TestL1Loss (1 ms)
2023-01-11T22:11:54.5093261Z [ RUN      ] LazyOpsTest.TestL1LossBackward
2023-01-11T22:11:54.5129084Z [       OK ] LazyOpsTest.TestL1LossBackward (3 ms)
2023-01-11T22:11:54.5129428Z [ RUN      ] LazyOpsTest.TestMseLoss
2023-01-11T22:11:54.5131913Z [       OK ] LazyOpsTest.TestMseLoss (0 ms)
2023-01-11T22:11:54.5132281Z [ RUN      ] LazyOpsTest.TestMseLossBackward
2023-01-11T22:11:54.5154033Z [       OK ] LazyOpsTest.TestMseLossBackward (2 ms)
2023-01-11T22:11:54.5154532Z [ RUN      ] LazyOpsTest.TestBatchNorm1D
2023-01-11T22:11:54.5178568Z [       OK ] LazyOpsTest.TestBatchNorm1D (2 ms)
2023-01-11T22:11:54.5178935Z [ RUN      ] LazyOpsTest.TestBatchNorm2D
2023-01-11T22:11:54.5202045Z [       OK ] LazyOpsTest.TestBatchNorm2D (2 ms)
2023-01-11T22:11:54.5202555Z [ RUN      ] LazyOpsTest.TestDim
2023-01-11T22:11:54.5203053Z [       OK ] LazyOpsTest.TestDim (0 ms)
2023-01-11T22:11:54.5203722Z [ RUN      ] LazyOpsTest.TestContiguous
2023-01-11T22:11:54.5204025Z [       OK ] LazyOpsTest.TestContiguous (0 ms)
2023-01-11T22:11:54.5204325Z [ RUN      ] LazyOpsTest.TestSqueezeAll
2023-01-11T22:11:54.5206512Z [       OK ] LazyOpsTest.TestSqueezeAll (0 ms)
2023-01-11T22:11:54.5206842Z [ RUN      ] LazyOpsTest.TestSqueezeAllInPlace
2023-01-11T22:11:54.5209823Z [       OK ] LazyOpsTest.TestSqueezeAllInPlace (0 ms)
2023-01-11T22:11:54.5210392Z [ RUN      ] LazyOpsTest.TestSqueezeOne
2023-01-11T22:11:54.5230661Z [       OK ] LazyOpsTest.TestSqueezeOne (2 ms)
2023-01-11T22:11:54.5231272Z [ RUN      ] LazyOpsTest.TestSqueezeOneInPlace
2023-01-11T22:11:54.5254292Z [       OK ] LazyOpsTest.TestSqueezeOneInPlace (2 ms)
2023-01-11T22:11:54.5254908Z [ RUN      ] LazyOpsTest.TestUnsqueeze
2023-01-11T22:11:54.5268692Z [       OK ] LazyOpsTest.TestUnsqueeze (1 ms)
2023-01-11T22:11:54.5269263Z [ RUN      ] LazyOpsTest.TestUnsqueezeInPlace
2023-01-11T22:11:54.5286389Z [       OK ] LazyOpsTest.TestUnsqueezeInPlace (1 ms)
2023-01-11T22:11:54.5286985Z [ RUN      ] LazyOpsTest.TestMaskedFill
2023-01-11T22:11:54.5289479Z [       OK ] LazyOpsTest.TestMaskedFill (0 ms)
2023-01-11T22:11:54.5290039Z [ RUN      ] LazyOpsTest.TestMaskedFillInPlace
2023-01-11T22:11:54.5292932Z [       OK ] LazyOpsTest.TestMaskedFillInPlace (0 ms)
2023-01-11T22:11:54.5293583Z [ RUN      ] LazyOpsTest.TestMaskedFillBroadcast
2023-01-11T22:11:54.5296185Z [       OK ] LazyOpsTest.TestMaskedFillBroadcast (0 ms)
2023-01-11T22:11:54.5296690Z [ RUN      ] LazyOpsTest.TestFill
2023-01-11T22:11:54.5299990Z [       OK ] LazyOpsTest.TestFill (0 ms)
2023-01-11T22:11:54.5300545Z [ RUN      ] LazyOpsTest.TestFillWithRank0
2023-01-11T22:11:54.5301625Z [       OK ] LazyOpsTest.TestFillWithRank0 (0 ms)
2023-01-11T22:11:54.5302184Z [ RUN      ] LazyOpsTest.TestPermute
2023-01-11T22:11:54.5333221Z [       OK ] LazyOpsTest.TestPermute (3 ms)
2023-01-11T22:11:54.5333559Z [ RUN      ] LazyOpsTest.TestPermuteMod
2023-01-11T22:11:54.5443813Z [       OK ] LazyOpsTest.TestPermuteMod (11 ms)
2023-01-11T22:11:54.5444173Z [ RUN      ] LazyOpsTest.TestFlip
2023-01-11T22:11:54.5476466Z [       OK ] LazyOpsTest.TestFlip (3 ms)
2023-01-11T22:11:54.5476907Z [ RUN      ] LazyOpsTest.TestPixelShuffle
2023-01-11T22:11:54.5483608Z [       OK ] LazyOpsTest.TestPixelShuffle (0 ms)
2023-01-11T22:11:54.5483930Z [ RUN      ] LazyOpsTest.TestSumToSize
2023-01-11T22:11:54.5487901Z [       OK ] LazyOpsTest.TestSumToSize (0 ms)
2023-01-11T22:11:54.5488255Z [ RUN      ] LazyOpsTest.TestTransposeDims
2023-01-11T22:11:54.5491544Z [       OK ] LazyOpsTest.TestTransposeDims (0 ms)
2023-01-11T22:11:54.5491870Z [ RUN      ] LazyOpsTest.TestTransposeDimsMod
2023-01-11T22:11:54.5501178Z [       OK ] LazyOpsTest.TestTransposeDimsMod (0 ms)
2023-01-11T22:11:54.5501535Z [ RUN      ] LazyOpsTest.TestTransposeDimsInPlace
2023-01-11T22:11:54.5504915Z [       OK ] LazyOpsTest.TestTransposeDimsInPlace (0 ms)
2023-01-11T22:11:54.5505226Z [ RUN      ] LazyOpsTest.TestSplit
2023-01-11T22:11:54.5526239Z [       OK ] LazyOpsTest.TestSplit (2 ms)
2023-01-11T22:11:54.5526802Z [ RUN      ] LazyOpsTest.TestSplitEmpty
2023-01-11T22:11:54.5527350Z [       OK ] LazyOpsTest.TestSplitEmpty (0 ms)
2023-01-11T22:11:54.5527935Z [ RUN      ] LazyOpsTest.TestSplitWithSizes
2023-01-11T22:11:54.5540350Z [       OK ] LazyOpsTest.TestSplitWithSizes (1 ms)
2023-01-11T22:11:54.5540686Z [ RUN      ] LazyOpsTest.TestCrossImplicitDim
2023-01-11T22:11:54.5543593Z [       OK ] LazyOpsTest.TestCrossImplicitDim (0 ms)
2023-01-11T22:11:54.5543963Z [ RUN      ] LazyOpsTest.TestCrossExplicitDim
2023-01-11T22:11:54.5547004Z [       OK ] LazyOpsTest.TestCrossExplicitDim (0 ms)
2023-01-11T22:11:54.5547490Z [ RUN      ] LazyOpsTest.TestCrossZeroDim
2023-01-11T22:11:54.5547818Z [       OK ] LazyOpsTest.TestCrossZeroDim (0 ms)
2023-01-11T22:11:54.5548107Z [ RUN      ] LazyOpsTest.TestTriu
2023-01-11T22:11:54.5582066Z [       OK ] LazyOpsTest.TestTriu (3 ms)
2023-01-11T22:11:54.5582371Z [ RUN      ] LazyOpsTest.TestTriuNonSquare
2023-01-11T22:11:54.5616839Z [       OK ] LazyOpsTest.TestTriuNonSquare (3 ms)
2023-01-11T22:11:54.5617150Z [ RUN      ] LazyOpsTest.TestTriuBatch
2023-01-11T22:11:54.5651253Z [       OK ] LazyOpsTest.TestTriuBatch (3 ms)
2023-01-11T22:11:54.5651560Z [ RUN      ] LazyOpsTest.TestTril
2023-01-11T22:11:54.5685302Z [       OK ] LazyOpsTest.TestTril (3 ms)
2023-01-11T22:11:54.5685613Z [ RUN      ] LazyOpsTest.TestTrilNonSquare
2023-01-11T22:11:54.5719839Z [       OK ] LazyOpsTest.TestTrilNonSquare (3 ms)
2023-01-11T22:11:54.5720158Z [ RUN      ] LazyOpsTest.TestTrilBatch
2023-01-11T22:11:54.5756900Z [       OK ] LazyOpsTest.TestTrilBatch (3 ms)
2023-01-11T22:11:54.5757217Z [ RUN      ] LazyOpsTest.TestTriuInPlace
2023-01-11T22:11:54.5802607Z [       OK ] LazyOpsTest.TestTriuInPlace (4 ms)
2023-01-11T22:11:54.5802962Z [ RUN      ] LazyOpsTest.TestTrilInPlace
2023-01-11T22:11:54.5843781Z [       OK ] LazyOpsTest.TestTrilInPlace (4 ms)
2023-01-11T22:11:54.5844125Z [ RUN      ] LazyOpsTest.TestTrace
2023-01-11T22:11:54.5846879Z [       OK ] LazyOpsTest.TestTrace (0 ms)
2023-01-11T22:11:54.5847200Z [ RUN      ] LazyOpsTest.TestTraceWide
2023-01-11T22:11:54.5849924Z [       OK ] LazyOpsTest.TestTraceWide (0 ms)
2023-01-11T22:11:54.5850365Z [ RUN      ] LazyOpsTest.TestTraceNarrow
2023-01-11T22:11:54.5852621Z [       OK ] LazyOpsTest.TestTraceNarrow (0 ms)
2023-01-11T22:11:54.5852942Z [ RUN      ] LazyOpsTest.TestDiagRank1
2023-01-11T22:11:54.6032038Z [       OK ] LazyOpsTest.TestDiagRank1 (17 ms)
2023-01-11T22:11:54.6032358Z [ RUN      ] LazyOpsTest.TestDiagRank2
2023-01-11T22:11:54.6071006Z [       OK ] LazyOpsTest.TestDiagRank2 (3 ms)
2023-01-11T22:11:54.6071313Z [ RUN      ] LazyOpsTest.TestDiagFlat
2023-01-11T22:11:54.6651504Z [       OK ] LazyOpsTest.TestDiagFlat (57 ms)
2023-01-11T22:11:54.6651843Z [ RUN      ] LazyOpsTest.TestDiagonal
2023-01-11T22:11:54.6679271Z [       OK ] LazyOpsTest.TestDiagonal (2 ms)
2023-01-11T22:11:54.6679671Z [ RUN      ] LazyOpsTest.TestDiagonalUpdate
2023-01-11T22:11:54.6772189Z [       OK ] LazyOpsTest.TestDiagonalUpdate (9 ms)
2023-01-11T22:11:54.6772752Z [ RUN      ] LazyOpsTest.TestDiagonalNonSquare
2023-01-11T22:11:54.6800778Z [       OK ] LazyOpsTest.TestDiagonalNonSquare (2 ms)
2023-01-11T22:11:54.6801130Z [ RUN      ] LazyOpsTest.TestDiagonalBatch
2023-01-11T22:11:54.6828923Z [       OK ] LazyOpsTest.TestDiagonalBatch (2 ms)
2023-01-11T22:11:54.6829251Z [ RUN      ] LazyOpsTest.TestFlatten
2023-01-11T22:11:54.6896896Z [       OK ] LazyOpsTest.TestFlatten (6 ms)
2023-01-11T22:11:54.6897298Z [ RUN      ] LazyOpsTest.TestLogicalAnd
2023-01-11T22:11:54.6915760Z [       OK ] LazyOpsTest.TestLogicalAnd (1 ms)
2023-01-11T22:11:54.6916092Z [ RUN      ] LazyOpsTest.TestBitwiseAnd
2023-01-11T22:11:54.6919176Z [       OK ] LazyOpsTest.TestBitwiseAnd (0 ms)
2023-01-11T22:11:54.6919625Z [ RUN      ] LazyOpsTest.TestBitwiseAndInPlace
2023-01-11T22:11:54.6922444Z [       OK ] LazyOpsTest.TestBitwiseAndInPlace (0 ms)
2023-01-11T22:11:54.6922834Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalar
2023-01-11T22:11:54.6925723Z [       OK ] LazyOpsTest.TestBitwiseAndScalar (0 ms)
2023-01-11T22:11:54.6926198Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalarInPlace
2023-01-11T22:11:54.6928917Z [       OK ] LazyOpsTest.TestBitwiseAndScalarInPlace (0 ms)
2023-01-11T22:11:54.6929348Z [ RUN      ] LazyOpsTest.TestBitwiseAndPromotion
2023-01-11T22:11:54.6933754Z [       OK ] LazyOpsTest.TestBitwiseAndPromotion (0 ms)
2023-01-11T22:11:54.6934140Z [ RUN      ] LazyOpsTest.TestBitwiseOr
2023-01-11T22:11:54.6936812Z [       OK ] LazyOpsTest.TestBitwiseOr (0 ms)
2023-01-11T22:11:54.6937215Z [ RUN      ] LazyOpsTest.TestBitwiseOrInPlace
2023-01-11T22:11:54.6940179Z [       OK ] LazyOpsTest.TestBitwiseOrInPlace (0 ms)
2023-01-11T22:11:54.6940557Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalar
2023-01-11T22:11:54.6943033Z [       OK ] LazyOpsTest.TestBitwiseOrScalar (0 ms)
2023-01-11T22:11:54.6943467Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalarInPlace
2023-01-11T22:11:54.6948200Z [       OK ] LazyOpsTest.TestBitwiseOrScalarInPlace (0 ms)
2023-01-11T22:11:54.6948709Z [ RUN      ] LazyOpsTest.TestBitwiseXor
2023-01-11T22:11:54.6949285Z [       OK ] LazyOpsTest.TestBitwiseXor (0 ms)
2023-01-11T22:11:54.6949732Z [ RUN      ] LazyOpsTest.TestBitwiseXorInPlace
2023-01-11T22:11:54.6950062Z [       OK ] LazyOpsTest.TestBitwiseXorInPlace (0 ms)
2023-01-11T22:11:54.6950463Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalar
2023-01-11T22:11:54.6950905Z [       OK ] LazyOpsTest.TestBitwiseXorScalar (0 ms)
2023-01-11T22:11:54.6951555Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalarInPlace
2023-01-11T22:11:54.6952201Z [       OK ] LazyOpsTest.TestBitwiseXorScalarInPlace (0 ms)
2023-01-11T22:11:54.6952793Z [ RUN      ] LazyOpsTest.TestLshift
2023-01-11T22:11:54.6953315Z [       OK ] LazyOpsTest.TestLshift (0 ms)
2023-01-11T22:11:54.6953816Z [ RUN      ] LazyOpsTest.TestLshiftInPlace
2023-01-11T22:11:54.6954219Z [       OK ] LazyOpsTest.TestLshiftInPlace (0 ms)
2023-01-11T22:11:54.6954616Z [ RUN      ] LazyOpsTest.TestLshiftScalar
2023-01-11T22:11:54.6955216Z [       OK ] LazyOpsTest.TestLshiftScalar (0 ms)
2023-01-11T22:11:54.6955582Z [ RUN      ] LazyOpsTest.TestLshiftScalarInPlace
2023-01-11T22:11:54.6956339Z [       OK ] LazyOpsTest.TestLshiftScalarInPlace (0 ms)
2023-01-11T22:11:54.6957054Z [ RUN      ] LazyOpsTest.TestRshift
2023-01-11T22:11:54.6957724Z [       OK ] LazyOpsTest.TestRshift (0 ms)
2023-01-11T22:11:54.6958267Z [ RUN      ] LazyOpsTest.TestRshiftInPlace
2023-01-11T22:11:54.6959245Z [       OK ] LazyOpsTest.TestRshiftInPlace (0 ms)
2023-01-11T22:11:54.6959811Z [ RUN      ] LazyOpsTest.TestRshiftScalar
2023-01-11T22:11:54.6960413Z [       OK ] LazyOpsTest.TestRshiftScalar (0 ms)
2023-01-11T22:11:54.6960743Z [ RUN      ] LazyOpsTest.TestRshiftScalarInPlace
2023-01-11T22:11:54.6962477Z [       OK ] LazyOpsTest.TestRshiftScalarInPlace (0 ms)
2023-01-11T22:11:54.6962788Z [ RUN      ] LazyOpsTest.TestMeshgrid
2023-01-11T22:11:54.6963150Z [W TensorShape.cpp:3452] Warning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (function operator())
2023-01-11T22:11:54.6974035Z [       OK ] LazyOpsTest.TestMeshgrid (1 ms)
2023-01-11T22:11:54.6974404Z [ RUN      ] LazyOpsTest.TestConstantPad
2023-01-11T22:11:54.6978309Z [       OK ] LazyOpsTest.TestConstantPad (0 ms)
2023-01-11T22:11:54.6978649Z [ RUN      ] LazyOpsTest.TestConstantPadIncomplete
2023-01-11T22:11:54.6982264Z [       OK ] LazyOpsTest.TestConstantPadIncomplete (0 ms)
2023-01-11T22:11:54.6982714Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank3
2023-01-11T22:11:54.6985041Z [       OK ] LazyOpsTest.TestReflectionPad2dRank3 (0 ms)
2023-01-11T22:11:54.6985403Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank4
2023-01-11T22:11:54.6986984Z [       OK ] LazyOpsTest.TestReflectionPad2dRank4 (0 ms)
2023-01-11T22:11:54.6987337Z [ RUN      ] LazyOpsTest.TestReflectionPad2dBackward
2023-01-11T22:11:54.6997818Z [       OK ] LazyOpsTest.TestReflectionPad2dBackward (1 ms)
2023-01-11T22:11:54.6998300Z [ RUN      ] LazyOpsTest.TestReplicationPad1d
2023-01-11T22:11:54.6999061Z [       OK ] LazyOpsTest.TestReplicationPad1d (0 ms)
2023-01-11T22:11:54.6999637Z [ RUN      ] LazyOpsTest.TestReplicationPad1dZeroPad
2023-01-11T22:11:54.7000232Z [       OK ] LazyOpsTest.TestReplicationPad1dZeroPad (0 ms)
2023-01-11T22:11:54.7000609Z [ RUN      ] LazyOpsTest.TestReplicationPad1dBackward
2023-01-11T22:11:54.7008450Z [       OK ] LazyOpsTest.TestReplicationPad1dBackward (0 ms)
2023-01-11T22:11:54.7008993Z [ RUN      ] LazyOpsTest.TestReplicationPad2d
2023-01-11T22:11:54.7009459Z [       OK ] LazyOpsTest.TestReplicationPad2d (0 ms)
2023-01-11T22:11:54.7009890Z [ RUN      ] LazyOpsTest.TestReplicationPad2dZeroPad
2023-01-11T22:11:54.7010445Z [       OK ] LazyOpsTest.TestReplicationPad2dZeroPad (0 ms)
2023-01-11T22:11:54.7010902Z [ RUN      ] LazyOpsTest.TestReplicationPad2dBackward
2023-01-11T22:11:54.7020208Z [       OK ] LazyOpsTest.TestReplicationPad2dBackward (0 ms)
2023-01-11T22:11:54.7020622Z [ RUN      ] LazyOpsTest.TestAsStrided
2023-01-11T22:11:54.7033395Z [       OK ] LazyOpsTest.TestAsStrided (1 ms)
2023-01-11T22:11:54.7033749Z [ RUN      ] LazyOpsTest.TestAsStridedInPlace
2023-01-11T22:11:54.7052318Z [       OK ] LazyOpsTest.TestAsStridedInPlace (1 ms)
2023-01-11T22:11:54.7052660Z [ RUN      ] LazyOpsTest.TestAsStridedWithOffset
2023-01-11T22:11:54.7057617Z [       OK ] LazyOpsTest.TestAsStridedWithOffset (0 ms)
2023-01-11T22:11:54.7057991Z [ RUN      ] LazyOpsTest.TestAsStridedWithInplaceCopy
2023-01-11T22:11:54.7066086Z [       OK ] LazyOpsTest.TestAsStridedWithInplaceCopy (0 ms)
2023-01-11T22:11:54.7066698Z [ RUN      ] LazyOpsTest.TestEmptyStrided
2023-01-11T22:11:54.7067231Z [       OK ] LazyOpsTest.TestEmptyStrided (0 ms)
2023-01-11T22:11:54.7067797Z [ RUN      ] LazyOpsTest.TestAvgPool2DBackward
2023-01-11T22:11:54.7239276Z [       OK ] LazyOpsTest.TestAvgPool2DBackward (17 ms)
2023-01-11T22:11:54.7240105Z [ RUN      ] LazyOpsTest.TestAvgPool3DBackward
2023-01-11T22:11:54.7338439Z [       OK ] LazyOpsTest.TestAvgPool3DBackward (9 ms)
2023-01-11T22:11:54.7339017Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatchBackward
2023-01-11T22:11:54.7540841Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatchBackward (20 ms)
2023-01-11T22:11:54.7541578Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatchBackward
2023-01-11T22:11:54.7648083Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatchBackward (10 ms)
2023-01-11T22:11:54.7648716Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward
2023-01-11T22:11:54.7692239Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward (4 ms)
2023-01-11T22:11:54.7692783Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DBackward
2023-01-11T22:11:54.7770467Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DBackward (7 ms)
2023-01-11T22:11:54.7771001Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DBackward
2023-01-11T22:11:54.7798266Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DBackward (2 ms)
2023-01-11T22:11:54.7798904Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward
2023-01-11T22:11:54.7822077Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward (2 ms)
2023-01-11T22:11:54.7822634Z [ RUN      ] LazyOpsTest.TestConv2D
2023-01-11T22:11:54.9183538Z [       OK ] LazyOpsTest.TestConv2D (136 ms)
2023-01-11T22:11:54.9184065Z [ RUN      ] LazyOpsTest.TestConv2DBackward
2023-01-11T22:11:55.4113125Z [       OK ] LazyOpsTest.TestConv2DBackward (492 ms)
2023-01-11T22:11:55.4113556Z [ RUN      ] LazyOpsTest.TestTransposedConv2DBackward
2023-01-11T22:11:55.8927071Z [       OK ] LazyOpsTest.TestTransposedConv2DBackward (481 ms)
2023-01-11T22:11:55.8927598Z [ RUN      ] LazyOpsTest.TestConv3DBackward
2023-01-11T22:11:56.2292361Z [       OK ] LazyOpsTest.TestConv3DBackward (336 ms)
2023-01-11T22:11:56.2292772Z [ RUN      ] LazyOpsTest.TestTransposedConv3DBackward
2023-01-11T22:11:56.9091044Z [       OK ] LazyOpsTest.TestTransposedConv3DBackward (679 ms)
2023-01-11T22:11:56.9091491Z [ RUN      ] LazyOpsTest.TestMaxPool2DBackward
2023-01-11T22:11:56.9203885Z [       OK ] LazyOpsTest.TestMaxPool2DBackward (11 ms)
2023-01-11T22:11:56.9204241Z [ RUN      ] LazyOpsTest.TestMaxPool3DBackward
2023-01-11T22:11:56.9264964Z [       OK ] LazyOpsTest.TestMaxPool3DBackward (6 ms)
2023-01-11T22:11:56.9265362Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatchBackward
2023-01-11T22:11:56.9380288Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatchBackward (11 ms)
2023-01-11T22:11:56.9380898Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatchBackward
2023-01-11T22:11:56.9444705Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatchBackward (6 ms)
2023-01-11T22:11:56.9445324Z [ RUN      ] LazyOpsTest.TestMaxUnpool2DBackward
2023-01-11T22:11:56.9658939Z [       OK ] LazyOpsTest.TestMaxUnpool2DBackward (21 ms)
2023-01-11T22:11:56.9659611Z [ RUN      ] LazyOpsTest.TestMaxUnpool3DBackward
2023-01-11T22:11:56.9818643Z [       OK ] LazyOpsTest.TestMaxUnpool3DBackward (15 ms)
2023-01-11T22:11:56.9819302Z [ RUN      ] LazyOpsTest.TestTanhBackward
2023-01-11T22:11:56.9829971Z [       OK ] LazyOpsTest.TestTanhBackward (1 ms)
2023-01-11T22:11:56.9830578Z [ RUN      ] LazyOpsTest.TestSigmoidBackward
2023-01-11T22:11:56.9840830Z [       OK ] LazyOpsTest.TestSigmoidBackward (1 ms)
2023-01-11T22:11:56.9841312Z [ RUN      ] LazyOpsTest.TestLogSigmoidBackward
2023-01-11T22:11:56.9852250Z [       OK ] LazyOpsTest.TestLogSigmoidBackward (1 ms)
2023-01-11T22:11:56.9852868Z [ RUN      ] LazyOpsTest.TestLogSoftmaxBackward
2023-01-11T22:11:56.9947873Z [       OK ] LazyOpsTest.TestLogSoftmaxBackward (9 ms)
2023-01-11T22:11:56.9948687Z [ RUN      ] LazyOpsTest.TestSoftmaxBackward
2023-01-11T22:11:57.0035704Z [       OK ] LazyOpsTest.TestSoftmaxBackward (8 ms)
2023-01-11T22:11:57.0036064Z [ RUN      ] LazyOpsTest.TestSoftplusBackward
2023-01-11T22:11:57.0046409Z [       OK ] LazyOpsTest.TestSoftplusBackward (1 ms)
2023-01-11T22:11:57.0046749Z [ RUN      ] LazyOpsTest.TestReluBackward
2023-01-11T22:11:57.0056753Z [       OK ] LazyOpsTest.TestReluBackward (1 ms)
2023-01-11T22:11:57.0057113Z [ RUN      ] LazyOpsTest.TestRreluBackward
2023-01-11T22:11:57.0067596Z [       OK ] LazyOpsTest.TestRreluBackward (1 ms)
2023-01-11T22:11:57.0067948Z [ RUN      ] LazyOpsTest.TestHardshrinkBackward
2023-01-11T22:11:57.0077156Z [       OK ] LazyOpsTest.TestHardshrinkBackward (0 ms)
2023-01-11T22:11:57.0077531Z [ RUN      ] LazyOpsTest.TestSoftshrinkBackward
2023-01-11T22:11:57.0086447Z [       OK ] LazyOpsTest.TestSoftshrinkBackward (0 ms)
2023-01-11T22:11:57.0086835Z [ RUN      ] LazyOpsTest.TestHardtanhBackward
2023-01-11T22:11:57.0091650Z [       OK ] LazyOpsTest.TestHardtanhBackward (0 ms)
2023-01-11T22:11:57.0092020Z [ RUN      ] LazyOpsTest.TestEluBackward
2023-01-11T22:11:57.0102037Z [       OK ] LazyOpsTest.TestEluBackward (1 ms)
2023-01-11T22:11:57.0102415Z [ RUN      ] LazyOpsTest.TestGeluBackward
2023-01-11T22:11:57.0118797Z [       OK ] LazyOpsTest.TestGeluBackward (1 ms)
2023-01-11T22:11:57.0119181Z [ RUN      ] LazyOpsTest.TestLeakyReluBackward
2023-01-11T22:11:57.0129610Z [       OK ] LazyOpsTest.TestLeakyReluBackward (1 ms)
2023-01-11T22:11:57.0129994Z [ RUN      ] LazyOpsTest.TestTransposeBackward
2023-01-11T22:11:57.0138227Z [       OK ] LazyOpsTest.TestTransposeBackward (0 ms)
2023-01-11T22:11:57.0138618Z [ RUN      ] LazyOpsTest.TestAddMatMulBackward
2023-01-11T22:11:57.0209133Z [       OK ] LazyOpsTest.TestAddMatMulBackward (7 ms)
2023-01-11T22:11:57.0209507Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropyBackward
2023-01-11T22:11:57.0273909Z [       OK ] LazyOpsTest.TestBinaryCrossEntropyBackward (6 ms)
2023-01-11T22:11:57.0274383Z [ RUN      ] LazyOpsTest.TestNllLossBackward
2023-01-11T22:11:57.0274680Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10954: Skipped
2023-01-11T22:11:57.0274857Z 
2023-01-11T22:11:57.0275035Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward (0 ms)
2023-01-11T22:11:57.0275374Z [ RUN      ] LazyOpsTest.TestNllLoss2dBackward
2023-01-11T22:11:57.0594770Z [       OK ] LazyOpsTest.TestNllLoss2dBackward (31 ms)
2023-01-11T22:11:57.0595149Z [ RUN      ] LazyOpsTest.TestSmoothL1LossBackward
2023-01-11T22:11:57.0655505Z [       OK ] LazyOpsTest.TestSmoothL1LossBackward (6 ms)
2023-01-11T22:11:57.0655850Z [ RUN      ] LazyOpsTest.TestViewBackward
2023-01-11T22:11:57.0674679Z [       OK ] LazyOpsTest.TestViewBackward (1 ms)
2023-01-11T22:11:57.0675030Z [ RUN      ] LazyOpsTest.TestBatchNorm2DBackward
2023-01-11T22:11:57.0737643Z [       OK ] LazyOpsTest.TestBatchNorm2DBackward (6 ms)
2023-01-11T22:11:57.0738029Z [ RUN      ] LazyOpsTest.TestBatchNorm3DBackward
2023-01-11T22:11:57.0800308Z [       OK ] LazyOpsTest.TestBatchNorm3DBackward (6 ms)
2023-01-11T22:11:57.0800684Z [ RUN      ] LazyOpsTest.TestBCEWithLogitsBackward
2023-01-11T22:11:57.1173280Z [       OK ] LazyOpsTest.TestBCEWithLogitsBackward (37 ms)
2023-01-11T22:11:57.1173653Z [ RUN      ] LazyOpsTest.TestKlDivBackward
2023-01-11T22:11:57.1250405Z [       OK ] LazyOpsTest.TestKlDivBackward (7 ms)
2023-01-11T22:11:57.1250785Z [ RUN      ] LazyOpsTest.TestEmbeddingBackward
2023-01-11T22:11:57.2036521Z [       OK ] LazyOpsTest.TestEmbeddingBackward (78 ms)
2023-01-11T22:11:57.2037623Z [ RUN      ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2023-01-11T22:11:57.2038079Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11351: Skipped
2023-01-11T22:11:57.2038246Z 
2023-01-11T22:11:57.2038595Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale (0 ms)
2023-01-11T22:11:57.2038993Z [ RUN      ] LazyOpsTest.TestAmpUpdateScale
2023-01-11T22:11:57.2039395Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11400: Skipped
2023-01-11T22:11:57.2039565Z 
2023-01-11T22:11:57.2039756Z [  SKIPPED ] LazyOpsTest.TestAmpUpdateScale (0 ms)
2023-01-11T22:11:57.2040246Z [ RUN      ] LazyOpsTest.TestEarlySyncLiveTensors
2023-01-11T22:11:57.2040613Z [       OK ] LazyOpsTest.TestEarlySyncLiveTensors (0 ms)
2023-01-11T22:11:57.2040972Z [ RUN      ] LazyOpsTest.TestLerp
2023-01-11T22:11:57.2041257Z [       OK ] LazyOpsTest.TestLerp (0 ms)
2023-01-11T22:11:57.2041595Z [ RUN      ] LazyOpsTest.TestLerpScalar
2023-01-11T22:11:57.2041892Z [       OK ] LazyOpsTest.TestLerpScalar (0 ms)
2023-01-11T22:11:57.2042276Z [ RUN      ] LazyOpsTest.TestLerpInplace
2023-01-11T22:11:57.2043308Z [       OK ] LazyOpsTest.TestLerpInplace (0 ms)
2023-01-11T22:11:57.2043845Z [ RUN      ] LazyOpsTest.TestLerpScalarInplace
2023-01-11T22:11:57.2044676Z [       OK ] LazyOpsTest.TestLerpScalarInplace (0 ms)
2023-01-11T22:11:57.2045260Z [ RUN      ] LazyOpsTest.TestLerpOut
2023-01-11T22:11:57.2046181Z [       OK ] LazyOpsTest.TestLerpOut (0 ms)
2023-01-11T22:11:57.2046768Z [ RUN      ] LazyOpsTest.TestLerpScalarOut
2023-01-11T22:11:57.2047873Z [       OK ] LazyOpsTest.TestLerpScalarOut (0 ms)
2023-01-11T22:11:57.2048417Z [ RUN      ] LazyOpsTest.IsAliasOf
2023-01-11T22:11:57.2048933Z [       OK ] LazyOpsTest.IsAliasOf (0 ms)
2023-01-11T22:11:57.2049543Z [----------] 574 tests from LazyOpsTest (3974 ms total)
2023-01-11T22:11:57.2049733Z 
2023-01-11T22:11:57.2049903Z [----------] Global test environment tear-down
2023-01-11T22:11:57.2106982Z [==========] 611 tests from 10 test suites ran. (4008 ms total)
2023-01-11T22:11:57.2107469Z [  PASSED  ] 607 tests.
2023-01-11T22:11:57.2107916Z [  SKIPPED ] 4 tests, listed below:
2023-01-11T22:11:57.2108189Z [  SKIPPED ] LazyOpsTest.TestNllLoss
2023-01-11T22:11:57.2108599Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward
2023-01-11T22:11:57.2109144Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2023-01-11T22:11:57.2109567Z [  SKIPPED ] LazyOpsTest.TestAmpUpdateScale
2023-01-11T22:11:57.2902236Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *-tsan* ]]
2023-01-11T22:11:57.2902565Z + python test/cpp/jit/tests_setup.py shutdown
2023-01-11T22:11:58.5065367Z + wait
2023-01-11T22:11:58.5065791Z + OMP_NUM_THREADS=2
2023-01-11T22:11:58.5066054Z + TORCH_CPP_TEST_MNIST_PATH=test/cpp/api/mnist
2023-01-11T22:11:58.5066699Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml
2023-01-11T22:11:58.8156298Z CUDA not available. Disabling CUDA and MultiCUDA tests
2023-01-11T22:11:58.8163766Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA
2023-01-11T22:11:58.8164404Z [==========] Running 992 tests from 48 test suites.
2023-01-11T22:11:58.8164820Z [----------] Global test environment set-up.
2023-01-11T22:11:58.8165109Z [----------] 9 tests from AutogradAPITests
2023-01-11T22:11:58.8165444Z [ RUN      ] AutogradAPITests.BackwardSimpleTest
2023-01-11T22:11:58.8376914Z [       OK ] AutogradAPITests.BackwardSimpleTest (21 ms)
2023-01-11T22:11:58.8377307Z [ RUN      ] AutogradAPITests.BackwardTest
2023-01-11T22:11:58.8379683Z [W engine.cpp:1134] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2023-01-11T22:11:58.8380423Z [       OK ] AutogradAPITests.BackwardTest (0 ms)
2023-01-11T22:11:58.8380831Z [ RUN      ] AutogradAPITests.GradSimpleTest
2023-01-11T22:11:58.8393283Z [       OK ] AutogradAPITests.GradSimpleTest (1 ms)
2023-01-11T22:11:58.8393621Z [ RUN      ] AutogradAPITests.GradTest
2023-01-11T22:11:58.8396330Z [       OK ] AutogradAPITests.GradTest (0 ms)
2023-01-11T22:11:58.8396670Z [ RUN      ] AutogradAPITests.GradNonLeafTest
2023-01-11T22:11:58.8399534Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2023-01-11T22:11:58.8401282Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2023-01-11T22:11:58.8402723Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2023-01-11T22:11:58.8404413Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2023-01-11T22:11:58.8405128Z [       OK ] AutogradAPITests.GradNonLeafTest (0 ms)
2023-01-11T22:11:58.8405469Z [ RUN      ] AutogradAPITests.GradUnreachableTest
2023-01-11T22:11:58.8486219Z [       OK ] AutogradAPITests.GradUnreachableTest (8 ms)
2023-01-11T22:11:58.8486631Z [ RUN      ] AutogradAPITests.EmptyInput
2023-01-11T22:11:58.8513623Z [       OK ] AutogradAPITests.EmptyInput (2 ms)
2023-01-11T22:11:58.8514000Z [ RUN      ] AutogradAPITests.RetainGrad
2023-01-11T22:11:58.8517806Z [       OK ] AutogradAPITests.RetainGrad (0 ms)
2023-01-11T22:11:58.8518249Z [ RUN      ] AutogradAPITests.AnomalyMode
2023-01-11T22:11:58.8518630Z [W anomaly_mode.cpp:27] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator())
2023-01-11T22:11:59.0113340Z [       OK ] AutogradAPITests.AnomalyMode (159 ms)
2023-01-11T22:11:59.0113957Z [----------] 9 tests from AutogradAPITests (194 ms total)
2023-01-11T22:11:59.0114190Z 
2023-01-11T22:11:59.0114354Z [----------] 33 tests from CustomAutogradTest
2023-01-11T22:11:59.0114718Z [ RUN      ] CustomAutogradTest.GradUnreachableDiscoveryTest
2023-01-11T22:11:59.0125913Z [       OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (1 ms)
2023-01-11T22:11:59.0126469Z [ RUN      ] CustomAutogradTest.CustomFunction
2023-01-11T22:11:59.0128163Z [       OK ] CustomAutogradTest.CustomFunction (0 ms)
2023-01-11T22:11:59.0128849Z [ RUN      ] CustomAutogradTest.CustomFunctionWithTensorList
2023-01-11T22:11:59.0129805Z [       OK ] CustomAutogradTest.CustomFunctionWithTensorList (0 ms)
2023-01-11T22:11:59.0130407Z [ RUN      ] CustomAutogradTest.GraphTaskTrimEdges
2023-01-11T22:11:59.0132796Z [       OK ] CustomAutogradTest.GraphTaskTrimEdges (0 ms)
2023-01-11T22:11:59.0133435Z [ RUN      ] CustomAutogradTest.FunctionReturnsInput
2023-01-11T22:11:59.0133911Z [       OK ] CustomAutogradTest.FunctionReturnsInput (0 ms)
2023-01-11T22:11:59.0134344Z [ RUN      ] CustomAutogradTest.FunctionReturnsUndefined
2023-01-11T22:11:59.0135148Z [       OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms)
2023-01-11T22:11:59.0135585Z [ RUN      ] CustomAutogradTest.MaterializeGrads
2023-01-11T22:11:59.0136859Z [       OK ] CustomAutogradTest.MaterializeGrads (0 ms)
2023-01-11T22:11:59.0137511Z [ RUN      ] CustomAutogradTest.DontMaterializeGrads
2023-01-11T22:11:59.0137978Z [       OK ] CustomAutogradTest.DontMaterializeGrads (0 ms)
2023-01-11T22:11:59.0138354Z [ RUN      ] CustomAutogradTest.NoGradCustomFunction
2023-01-11T22:11:59.0138715Z [       OK ] CustomAutogradTest.NoGradCustomFunction (0 ms)
2023-01-11T22:11:59.0139048Z [ RUN      ] CustomAutogradTest.MarkDirty
2023-01-11T22:11:59.0145020Z [       OK ] CustomAutogradTest.MarkDirty (0 ms)
2023-01-11T22:11:59.0145659Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiable
2023-01-11T22:11:59.0146341Z [       OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms)
2023-01-11T22:11:59.0146897Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableMixed
2023-01-11T22:11:59.0147564Z [       OK ] CustomAutogradTest.MarkNonDifferentiableMixed (0 ms)
2023-01-11T22:11:59.0148128Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableNone
2023-01-11T22:11:59.0148576Z [       OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms)
2023-01-11T22:11:59.0149055Z [ RUN      ] CustomAutogradTest.ReturnLeafInplace
2023-01-11T22:11:59.0149728Z [       OK ] CustomAutogradTest.ReturnLeafInplace (0 ms)
2023-01-11T22:11:59.0150106Z [ RUN      ] CustomAutogradTest.ReturnDuplicateInplace
2023-01-11T22:11:59.0172767Z [       OK ] CustomAutogradTest.ReturnDuplicateInplace (2 ms)
2023-01-11T22:11:59.0173229Z [ RUN      ] CustomAutogradTest.ReturnDuplicate
2023-01-11T22:11:59.0173602Z [       OK ] CustomAutogradTest.ReturnDuplicate (0 ms)
2023-01-11T22:11:59.0174043Z [ RUN      ] CustomAutogradTest.SaveEmptyForBackward
2023-01-11T22:11:59.0174763Z [       OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms)
2023-01-11T22:11:59.0175182Z [ RUN      ] CustomAutogradTest.InvalidGradients
2023-01-11T22:11:59.0235138Z [       OK ] CustomAutogradTest.InvalidGradients (5 ms)
2023-01-11T22:11:59.0235734Z [ RUN      ] CustomAutogradTest.NoGradInput
2023-01-11T22:11:59.0236283Z [       OK ] CustomAutogradTest.NoGradInput (0 ms)
2023-01-11T22:11:59.0236850Z [ RUN      ] CustomAutogradTest.TooManyGrads
2023-01-11T22:11:59.0237370Z [       OK ] CustomAutogradTest.TooManyGrads (0 ms)
2023-01-11T22:11:59.0237875Z [ RUN      ] CustomAutogradTest.DepNoGrad
2023-01-11T22:11:59.0238395Z [       OK ] CustomAutogradTest.DepNoGrad (0 ms)
2023-01-11T22:11:59.0238915Z [ RUN      ] CustomAutogradTest.Reentrant
2023-01-11T22:11:59.0239443Z [       OK ] CustomAutogradTest.Reentrant (0 ms)
2023-01-11T22:11:59.0239987Z [ RUN      ] CustomAutogradTest.DeepReentrant
2023-01-11T22:11:59.4504974Z [       OK ] CustomAutogradTest.DeepReentrant (426 ms)
2023-01-11T22:11:59.4505663Z [ RUN      ] CustomAutogradTest.ReentrantPriority
2023-01-11T22:11:59.4509663Z [       OK ] CustomAutogradTest.ReentrantPriority (0 ms)
2023-01-11T22:11:59.4510046Z [ RUN      ] CustomAutogradTest.Hooks
2023-01-11T22:11:59.4543909Z [       OK ] CustomAutogradTest.Hooks (3 ms)
2023-01-11T22:11:59.4544488Z [ RUN      ] CustomAutogradTest.HooksInplace
2023-01-11T22:11:59.4546108Z [       OK ] CustomAutogradTest.HooksInplace (0 ms)
2023-01-11T22:11:59.4546496Z [ RUN      ] CustomAutogradTest.HooksInplaceWithRetainsGrad
2023-01-11T22:11:59.4548483Z [       OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (0 ms)
2023-01-11T22:11:59.4548914Z [ RUN      ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad
2023-01-11T22:11:59.4551002Z [       OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (0 ms)
2023-01-11T22:11:59.4551453Z [ RUN      ] CustomAutogradTest.HookNone
2023-01-11T22:11:59.4552443Z [       OK ] CustomAutogradTest.HookNone (0 ms)
2023-01-11T22:11:59.4552817Z [ RUN      ] CustomAutogradTest.BackwardWithInputs
2023-01-11T22:11:59.4554182Z [       OK ] CustomAutogradTest.BackwardWithInputs (0 ms)
2023-01-11T22:11:59.4554572Z [ RUN      ] CustomAutogradTest.BackwardWithEmptyInputs
2023-01-11T22:11:59.4566385Z [       OK ] CustomAutogradTest.BackwardWithEmptyInputs (1 ms)
2023-01-11T22:11:59.4566842Z [ RUN      ] CustomAutogradTest.BackwardWithNonLeafInputs
2023-01-11T22:11:59.4568625Z [       OK ] CustomAutogradTest.BackwardWithNonLeafInputs (0 ms)
2023-01-11T22:11:59.4569279Z [ RUN      ] CustomAutogradTest.BackwardWithCreateGraphWarns
2023-01-11T22:11:59.4569917Z [       OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms)
2023-01-11T22:11:59.4570658Z [----------] 33 tests from CustomAutogradTest (445 ms total)
2023-01-11T22:11:59.4570832Z 
2023-01-11T22:11:59.4571047Z [----------] 13 tests from TestAutogradNotImplementedFallback
2023-01-11T22:11:59.4571468Z [ RUN      ] TestAutogradNotImplementedFallback.RetSingleNonTensor
2023-01-11T22:11:59.4573728Z [       OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (0 ms)
2023-01-11T22:11:59.4574367Z [ RUN      ] TestAutogradNotImplementedFallback.InplaceOp
2023-01-11T22:11:59.4619316Z [       OK ] TestAutogradNotImplementedFallback.InplaceOp (4 ms)
2023-01-11T22:11:59.4619907Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleInplaceOp
2023-01-11T22:11:59.4657070Z [       OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (3 ms)
2023-01-11T22:11:59.4657666Z [ RUN      ] TestAutogradNotImplementedFallback.OptOp
2023-01-11T22:11:59.4660226Z [       OK ] TestAutogradNotImplementedFallback.OptOp (0 ms)
2023-01-11T22:11:59.4660883Z [ RUN      ] TestAutogradNotImplementedFallback.OutOfPlaceAddition
2023-01-11T22:11:59.4694158Z [       OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (3 ms)
2023-01-11T22:11:59.4694807Z [ RUN      ] TestAutogradNotImplementedFallback.RetTupleNonTensor
2023-01-11T22:11:59.4728115Z [       OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (3 ms)
2023-01-11T22:11:59.4728714Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOp
2023-01-11T22:11:59.4793708Z [       OK ] TestAutogradNotImplementedFallback.ViewOp (6 ms)
2023-01-11T22:11:59.4794440Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg
2023-01-11T22:11:59.4827747Z [       OK ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg (3 ms)
2023-01-11T22:11:59.4828432Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVectorView
2023-01-11T22:11:59.4829754Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms)
2023-01-11T22:11:59.4830310Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleViewOP
2023-01-11T22:11:59.4849570Z [       OK ] TestAutogradNotImplementedFallback.DoubleViewOP (1 ms)
2023-01-11T22:11:59.4850038Z [ RUN      ] TestAutogradNotImplementedFallback.NonFirstViewOP
2023-01-11T22:11:59.4879671Z [       OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (3 ms)
2023-01-11T22:11:59.4880353Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVector
2023-01-11T22:11:59.4913223Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVector (3 ms)
2023-01-11T22:11:59.4913742Z [ RUN      ] TestAutogradNotImplementedFallback.TensorlistOp
2023-01-11T22:11:59.4949373Z [       OK ] TestAutogradNotImplementedFallback.TensorlistOp (3 ms)
2023-01-11T22:11:59.4950140Z [----------] 13 tests from TestAutogradNotImplementedFallback (37 ms total)
2023-01-11T22:11:59.4950361Z 
2023-01-11T22:11:59.4950557Z [----------] 18 tests from AnyModuleTest
2023-01-11T22:11:59.4950917Z [ RUN      ] AnyModuleTest.SimpleReturnType
2023-01-11T22:11:59.4951249Z [       OK ] AnyModuleTest.SimpleReturnType (0 ms)
2023-01-11T22:11:59.4951627Z [ RUN      ] AnyModuleTest.SimpleReturnTypeAndSingleArgument
2023-01-11T22:11:59.4952046Z [       OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms)
2023-01-11T22:11:59.4952476Z [ RUN      ] AnyModuleTest.StringLiteralReturnTypeAndArgument
2023-01-11T22:11:59.4952910Z [       OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms)
2023-01-11T22:11:59.4953324Z [ RUN      ] AnyModuleTest.StringReturnTypeWithConstArgument
2023-01-11T22:11:59.4953748Z [       OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms)
2023-01-11T22:11:59.4954336Z [ RUN      ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications
2023-01-11T22:11:59.4954952Z [       OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms)
2023-01-11T22:11:59.4955400Z [ RUN      ] AnyModuleTest.WrongArgumentType
2023-01-11T22:11:59.4972417Z [       OK ] AnyModuleTest.WrongArgumentType (2 ms)
2023-01-11T22:11:59.4972792Z [ RUN      ] AnyModuleTest.WrongNumberOfArguments
2023-01-11T22:11:59.5008040Z [       OK ] AnyModuleTest.WrongNumberOfArguments (3 ms)
2023-01-11T22:11:59.5008634Z [ RUN      ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod
2023-01-11T22:11:59.5080644Z [       OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (7 ms)
2023-01-11T22:11:59.5081176Z [ RUN      ] AnyModuleTest.GetWithCorrectTypeSucceeds
2023-01-11T22:11:59.5081556Z [       OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms)
2023-01-11T22:11:59.5081941Z [ RUN      ] AnyModuleTest.GetWithIncorrectTypeThrows
2023-01-11T22:11:59.5090679Z [       OK ] AnyModuleTest.GetWithIncorrectTypeThrows (1 ms)
2023-01-11T22:11:59.5091358Z [ RUN      ] AnyModuleTest.PtrWithBaseClassSucceeds
2023-01-11T22:11:59.5091757Z [       OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms)
2023-01-11T22:11:59.5092141Z [ RUN      ] AnyModuleTest.PtrWithGoodDowncastSuccceeds
2023-01-11T22:11:59.5092540Z [       OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms)
2023-01-11T22:11:59.5092911Z [ RUN      ] AnyModuleTest.PtrWithBadDowncastThrows
2023-01-11T22:11:59.5101299Z [       OK ] AnyModuleTest.PtrWithBadDowncastThrows (1 ms)
2023-01-11T22:11:59.5101669Z [ RUN      ] AnyModuleTest.DefaultStateIsEmpty
2023-01-11T22:11:59.5102003Z [       OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms)
2023-01-11T22:11:59.5102386Z [ RUN      ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule
2023-01-11T22:11:59.5153246Z [       OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (5 ms)
2023-01-11T22:11:59.5154012Z [ RUN      ] AnyModuleTest.CanMoveAssignDifferentModules
2023-01-11T22:11:59.5154565Z [       OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms)
2023-01-11T22:11:59.5155002Z [ RUN      ] AnyModuleTest.ConstructsFromModuleHolder
2023-01-11T22:11:59.5155623Z [       OK ] AnyModuleTest.ConstructsFromModuleHolder (0 ms)
2023-01-11T22:11:59.5156464Z [ RUN      ] AnyModuleTest.ConvertsVariableToTensorCorrectly
2023-01-11T22:11:59.5156903Z [       OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms)
2023-01-11T22:11:59.5157303Z [----------] 18 tests from AnyModuleTest (20 ms total)
2023-01-11T22:11:59.5157460Z 
2023-01-11T22:11:59.5157608Z [----------] 12 tests from AnyValueTest
2023-01-11T22:11:59.5157951Z [ RUN      ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType
2023-01-11T22:11:59.5158382Z [       OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms)
2023-01-11T22:11:59.5158849Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType
2023-01-11T22:11:59.5159335Z [       OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms)
2023-01-11T22:11:59.5159803Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType
2023-01-11T22:11:59.5160255Z [       OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms)
2023-01-11T22:11:59.5160711Z [ RUN      ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType
2023-01-11T22:11:59.5161166Z [       OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms)
2023-01-11T22:11:59.5161633Z [ RUN      ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType
2023-01-11T22:11:59.5162110Z [       OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms)
2023-01-11T22:11:59.5162544Z [ RUN      ] AnyValueTest.TryGetReturnsNullptrForTheWrongType
2023-01-11T22:11:59.5162979Z [       OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms)
2023-01-11T22:11:59.5163574Z [ RUN      ] AnyValueTest.GetThrowsForTheWrongType
2023-01-11T22:11:59.5178080Z [       OK ] AnyValueTest.GetThrowsForTheWrongType (2 ms)
2023-01-11T22:11:59.5178772Z [ RUN      ] AnyValueTest.MoveConstructionIsAllowed
2023-01-11T22:11:59.5179220Z [       OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms)
2023-01-11T22:11:59.5179589Z [ RUN      ] AnyValueTest.MoveAssignmentIsAllowed
2023-01-11T22:11:59.5179943Z [       OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms)
2023-01-11T22:11:59.5180283Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForInt
2023-01-11T22:11:59.5180638Z [       OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms)
2023-01-11T22:11:59.5181026Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForStringLiteral
2023-01-11T22:11:59.5181436Z [       OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms)
2023-01-11T22:11:59.5181828Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForString
2023-01-11T22:11:59.5182200Z [       OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms)
2023-01-11T22:11:59.5182541Z [----------] 12 tests from AnyValueTest (2 ms total)
2023-01-11T22:11:59.5182692Z 
2023-01-11T22:11:59.5182831Z [----------] 50 tests from DataTest
2023-01-11T22:11:59.5183131Z [ RUN      ] DataTest.DatasetCallsGetCorrectly
2023-01-11T22:11:59.5203674Z [       OK ] DataTest.DatasetCallsGetCorrectly (2 ms)
2023-01-11T22:11:59.5204353Z [ RUN      ] DataTest.TransformCallsGetApplyCorrectly
2023-01-11T22:11:59.5204778Z [       OK ] DataTest.TransformCallsGetApplyCorrectly (0 ms)
2023-01-11T22:11:59.5205175Z [ RUN      ] DataTest.ChunkDataSetWithInvalidInitParameter
2023-01-11T22:11:59.5269640Z [       OK ] DataTest.ChunkDataSetWithInvalidInitParameter (6 ms)
2023-01-11T22:11:59.5270251Z [ RUN      ] DataTest.InfiniteStreamDataset
2023-01-11T22:11:59.5270717Z [       OK ] DataTest.InfiniteStreamDataset (0 ms)
2023-01-11T22:11:59.5271043Z [ RUN      ] DataTest.NoSequencerIsIdentity
2023-01-11T22:11:59.5277151Z [       OK ] DataTest.NoSequencerIsIdentity (0 ms)
2023-01-11T22:11:59.5277781Z [ RUN      ] DataTest.OrderedSequencerIsSetUpWell
2023-01-11T22:11:59.5278312Z [       OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms)
2023-01-11T22:11:59.5278776Z [ RUN      ] DataTest.OrderedSequencerReOrdersValues
2023-01-11T22:11:59.5279140Z [       OK ] DataTest.OrderedSequencerReOrdersValues (0 ms)
2023-01-11T22:11:59.5279525Z [ RUN      ] DataTest.BatchLambdaAppliesFunctionToBatch
2023-01-11T22:11:59.5279925Z [       OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms)
2023-01-11T22:11:59.5280296Z [ RUN      ] DataTest.LambdaAppliesFunctionToExample
2023-01-11T22:11:59.5280676Z [       OK ] DataTest.LambdaAppliesFunctionToExample (0 ms)
2023-01-11T22:11:59.5281013Z [ RUN      ] DataTest.CollateReducesBatch
2023-01-11T22:11:59.5281314Z [       OK ] DataTest.CollateReducesBatch (0 ms)
2023-01-11T22:11:59.5281629Z [ RUN      ] DataTest.CollationReducesBatch
2023-01-11T22:11:59.5281953Z [       OK ] DataTest.CollationReducesBatch (0 ms)
2023-01-11T22:11:59.5282324Z [ RUN      ] DataTest.SequentialSamplerReturnsIndicesInOrder
2023-01-11T22:11:59.5282742Z [       OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms)
2023-01-11T22:11:59.5283188Z [ RUN      ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch
2023-01-11T22:11:59.5283891Z [       OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms)
2023-01-11T22:11:59.5284293Z [ RUN      ] DataTest.SequentialSamplerResetsWell
2023-01-11T22:11:59.5284650Z [       OK ] DataTest.SequentialSamplerResetsWell (0 ms)
2023-01-11T22:11:59.5285044Z [ RUN      ] DataTest.SequentialSamplerResetsWithNewSizeWell
2023-01-11T22:11:59.5285469Z [       OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms)
2023-01-11T22:11:59.5285865Z [ RUN      ] DataTest.CanSaveAndLoadSequentialSampler
2023-01-11T22:11:59.5426373Z [       OK ] DataTest.CanSaveAndLoadSequentialSampler (14 ms)
2023-01-11T22:11:59.5427138Z [ RUN      ] DataTest.RandomSamplerReturnsIndicesInCorrectRange
2023-01-11T22:11:59.5427809Z [       OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2023-01-11T22:11:59.5428260Z [ RUN      ] DataTest.RandomSamplerReturnsLessValuesForLastBatch
2023-01-11T22:11:59.5428718Z [       OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2023-01-11T22:11:59.5429105Z [ RUN      ] DataTest.RandomSamplerResetsWell
2023-01-11T22:11:59.5429430Z [       OK ] DataTest.RandomSamplerResetsWell (0 ms)
2023-01-11T22:11:59.5429943Z [ RUN      ] DataTest.RandomSamplerResetsWithNewSizeWell
2023-01-11T22:11:59.5430465Z [       OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2023-01-11T22:11:59.5430899Z [ RUN      ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence
2023-01-11T22:11:59.5431610Z [       OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (0 ms)
2023-01-11T22:11:59.5432405Z [ RUN      ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder
2023-01-11T22:11:59.5432979Z [       OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms)
2023-01-11T22:11:59.5433386Z [ RUN      ] DataTest.StreamSamplerResetsWell
2023-01-11T22:11:59.5433863Z [       OK ] DataTest.StreamSamplerResetsWell (0 ms)
2023-01-11T22:11:59.5434380Z [ RUN      ] DataTest.StreamSamplerResetsWithNewSizeWell
2023-01-11T22:11:59.5434840Z [       OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms)
2023-01-11T22:11:59.5435372Z [ RUN      ] DataTest.TensorDatasetConstructsFromSingleTensor
2023-01-11T22:11:59.5435848Z [       OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms)
2023-01-11T22:11:59.5436523Z [ RUN      ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors
2023-01-11T22:11:59.5437294Z [       OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms)
2023-01-11T22:11:59.5438087Z [ RUN      ] DataTest.StackTransformWorksForExample
2023-01-11T22:11:59.5438713Z [       OK ] DataTest.StackTransformWorksForExample (0 ms)
2023-01-11T22:11:59.5439235Z [ RUN      ] DataTest.StackTransformWorksForTensorExample
2023-01-11T22:11:59.5439709Z [       OK ] DataTest.StackTransformWorksForTensorExample (0 ms)
2023-01-11T22:11:59.5440125Z [ RUN      ] DataTest.TensorTransformWorksForAnyTargetType
2023-01-11T22:11:59.5440544Z [       OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms)
2023-01-11T22:11:59.5440933Z [ RUN      ] DataTest.TensorLambdaWorksforAnyTargetType
2023-01-11T22:11:59.5441324Z [       OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms)
2023-01-11T22:11:59.5441664Z [ RUN      ] DataTest.NormalizeTransform
2023-01-11T22:11:59.5444098Z [       OK ] DataTest.NormalizeTransform (0 ms)
2023-01-11T22:11:59.5444578Z [ RUN      ] DataTest.MapDoesNotCopy
2023-01-11T22:11:59.5444889Z [       OK ] DataTest.MapDoesNotCopy (0 ms)
2023-01-11T22:11:59.5445226Z [ RUN      ] DataTest.QueuePushAndPopFromSameThread
2023-01-11T22:11:59.5445588Z [       OK ] DataTest.QueuePushAndPopFromSameThread (0 ms)
2023-01-11T22:11:59.5445979Z [ RUN      ] DataTest.QueuePopWithTimeoutThrowsUponTimeout
2023-01-11T22:11:59.5565448Z [       OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (12 ms)
2023-01-11T22:11:59.5566015Z [ RUN      ] DataTest.QueuePushAndPopFromDifferentThreads
2023-01-11T22:11:59.5767896Z [       OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms)
2023-01-11T22:11:59.5768285Z [ RUN      ] DataTest.QueueClearEmptiesTheQueue
2023-01-11T22:11:59.5789570Z [       OK ] DataTest.QueueClearEmptiesTheQueue (2 ms)
2023-01-11T22:11:59.5790233Z [ RUN      ] DataTest.DataShuttleCanPushAndPopJob
2023-01-11T22:11:59.5790638Z [       OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms)
2023-01-11T22:11:59.5791008Z [ RUN      ] DataTest.DataShuttleCanPushAndPopResult
2023-01-11T22:11:59.5791371Z [       OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms)
2023-01-11T22:11:59.5791827Z [ RUN      ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight
2023-01-11T22:11:59.5792353Z [       OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms)
2023-01-11T22:11:59.5792847Z [ RUN      ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt
2023-01-11T22:11:59.5793305Z [       OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms)
2023-01-11T22:11:59.5793713Z [ RUN      ] DataTest.DataShuttlePopResultTimesOut
2023-01-11T22:11:59.5901582Z [       OK ] DataTest.DataShuttlePopResultTimesOut (11 ms)
2023-01-11T22:11:59.5902125Z [ RUN      ] DataTest.SharedBatchDatasetReallyIsShared
2023-01-11T22:11:59.5911759Z [       OK ] DataTest.SharedBatchDatasetReallyIsShared (0 ms)
2023-01-11T22:11:59.5912575Z [ RUN      ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject
2023-01-11T22:11:59.5913155Z [       OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms)
2023-01-11T22:11:59.5913602Z [ RUN      ] DataTest.CanUseCustomTypeAsIndexType
2023-01-11T22:11:59.5913964Z [       OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms)
2023-01-11T22:11:59.5914505Z [ RUN      ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples
2023-01-11T22:11:59.5925493Z [       OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (1 ms)
2023-01-11T22:11:59.5926457Z [ RUN      ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples
2023-01-11T22:11:59.5927073Z [       OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms)
2023-01-11T22:11:59.5927564Z [ RUN      ] DataTest.CanSaveAndLoadDistributedRandomSampler
2023-01-11T22:11:59.5932134Z [       OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (0 ms)
2023-01-11T22:11:59.5932763Z [ RUN      ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples
2023-01-11T22:11:59.5933534Z [       OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms)
2023-01-11T22:11:59.5934241Z [ RUN      ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples
2023-01-11T22:11:59.5935254Z [       OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms)
2023-01-11T22:11:59.5935828Z [ RUN      ] DataTest.CanSaveAndLoadDistributedSequentialSampler
2023-01-11T22:11:59.5936295Z [       OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (0 ms)
2023-01-11T22:11:59.5936685Z [----------] 50 tests from DataTest (75 ms total)
2023-01-11T22:11:59.5936834Z 
2023-01-11T22:11:59.5936973Z [----------] 37 tests from DataLoaderTest
2023-01-11T22:11:59.5937346Z [ RUN      ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected
2023-01-11T22:11:59.5937793Z [       OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms)
2023-01-11T22:11:59.5938251Z [ RUN      ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues
2023-01-11T22:11:59.5938714Z [       OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms)
2023-01-11T22:11:59.5939161Z [ RUN      ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected
2023-01-11T22:11:59.5939589Z [       OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms)
2023-01-11T22:11:59.5940117Z [ RUN      ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset
2023-01-11T22:11:59.5946554Z [       OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (1 ms)
2023-01-11T22:11:59.5947383Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToThemselves
2023-01-11T22:11:59.5948052Z [       OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms)
2023-01-11T22:11:59.5948546Z [ RUN      ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther
2023-01-11T22:11:59.5949069Z [       OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms)
2023-01-11T22:11:59.5949546Z [ RUN      ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther
2023-01-11T22:11:59.5950078Z [       OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms)
2023-01-11T22:11:59.5950608Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted
2023-01-11T22:11:59.5951133Z [       OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms)
2023-01-11T22:11:59.5951587Z [ RUN      ] DataLoaderTest.IteratorsShareState
2023-01-11T22:11:59.5951973Z [       OK ] DataLoaderTest.IteratorsShareState (0 ms)
2023-01-11T22:11:59.5952373Z [ RUN      ] DataLoaderTest.CanDereferenceIteratorMultipleTimes
2023-01-11T22:11:59.5952868Z [       OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms)
2023-01-11T22:11:59.5953277Z [ RUN      ] DataLoaderTest.CanUseIteratorAlgorithms
2023-01-11T22:11:59.5953690Z [       OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms)
2023-01-11T22:11:59.5954225Z [ RUN      ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows
2023-01-11T22:11:59.5960743Z [       OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (1 ms)
2023-01-11T22:11:59.5961398Z [ RUN      ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows
2023-01-11T22:11:59.5972621Z [       OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (1 ms)
2023-01-11T22:11:59.5973113Z [ RUN      ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows
2023-01-11T22:11:59.5983973Z [       OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (1 ms)
2023-01-11T22:11:59.5984550Z [ RUN      ] DataLoaderTest.IncrementingSentinelIteratorThrows
2023-01-11T22:11:59.5995270Z [       OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (1 ms)
2023-01-11T22:11:59.5995771Z [ RUN      ] DataLoaderTest.DereferencingSentinelIteratorThrows
2023-01-11T22:11:59.6007102Z [       OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (1 ms)
2023-01-11T22:11:59.6007766Z [ RUN      ] DataLoaderTest.YieldsCorrectBatchSize
2023-01-11T22:11:59.6008342Z [       OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms)
2023-01-11T22:11:59.6008860Z [ RUN      ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse
2023-01-11T22:11:59.6009480Z [       OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms)
2023-01-11T22:11:59.6010130Z [ RUN      ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue
2023-01-11T22:11:59.6010807Z [       OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms)
2023-01-11T22:11:59.6011288Z [ RUN      ] DataLoaderTest.RespectsTimeout
2023-01-11T22:11:59.6123738Z [       OK ] DataLoaderTest.RespectsTimeout (11 ms)
2023-01-11T22:11:59.6124519Z [ RUN      ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured
2023-01-11T22:11:59.6132532Z [       OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (0 ms)
2023-01-11T22:11:59.6133077Z [ RUN      ] DataLoaderTest.Reset
2023-01-11T22:11:59.6133465Z [       OK ] DataLoaderTest.Reset (0 ms)
2023-01-11T22:11:59.6134078Z [ RUN      ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers
2023-01-11T22:11:59.6136460Z [       OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms)
2023-01-11T22:11:59.6137116Z [ RUN      ] DataLoaderTest.StatefulDatasetWithNoWorkers
2023-01-11T22:11:59.6137715Z [       OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms)
2023-01-11T22:11:59.6138130Z [ RUN      ] DataLoaderTest.StatefulDatasetWithManyWorkers
2023-01-11T22:11:59.6154016Z [       OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms)
2023-01-11T22:11:59.6154576Z [ RUN      ] DataLoaderTest.StatefulDatasetWithMap
2023-01-11T22:11:59.6155241Z [       OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms)
2023-01-11T22:11:59.6155651Z [ RUN      ] DataLoaderTest.StatefulDatasetWithCollate
2023-01-11T22:11:59.6156631Z [       OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms)
2023-01-11T22:11:59.6156997Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatch
2023-01-11T22:11:59.6208807Z [       OK ] DataLoaderTest.ChunkDataSetGetBatch (5 ms)
2023-01-11T22:11:59.6209238Z [ RUN      ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch
2023-01-11T22:11:59.6222630Z [       OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (1 ms)
2023-01-11T22:11:59.6223380Z [ RUN      ] DataLoaderTest.ChunkDataSetWithEmptyBatch
2023-01-11T22:11:59.6223852Z [       OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms)
2023-01-11T22:11:59.6224283Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize
2023-01-11T22:11:59.6226773Z [       OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms)
2023-01-11T22:11:59.6227422Z [ RUN      ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet
2023-01-11T22:11:59.6228555Z [       OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms)
2023-01-11T22:11:59.6229217Z [ RUN      ] DataLoaderTest.ChunkDatasetDoesNotHang
2023-01-11T22:11:59.6229872Z [       OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms)
2023-01-11T22:11:59.6230225Z [ RUN      ] DataLoaderTest.ChunkDatasetSave
2023-01-11T22:11:59.6389433Z [       OK ] DataLoaderTest.ChunkDatasetSave (15 ms)
2023-01-11T22:11:59.6390076Z [ RUN      ] DataLoaderTest.ChunkDatasetLoad
2023-01-11T22:11:59.6393508Z [       OK ] DataLoaderTest.ChunkDatasetLoad (0 ms)
2023-01-11T22:11:59.6394010Z [ RUN      ] DataLoaderTest.ChunkDatasetCrossChunkShuffle
2023-01-11T22:11:59.6401267Z [       OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (0 ms)
2023-01-11T22:11:59.6401801Z [ RUN      ] DataLoaderTest.CustomPreprocessPolicy
2023-01-11T22:11:59.6404431Z [       OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms)
2023-01-11T22:11:59.6404967Z [----------] 37 tests from DataLoaderTest (46 ms total)
2023-01-11T22:11:59.6405273Z 
2023-01-11T22:11:59.6405528Z [----------] 1 test from EnumTest
2023-01-11T22:11:59.6405908Z [ RUN      ] EnumTest.AllEnums
2023-01-11T22:11:59.6406198Z [       OK ] EnumTest.AllEnums (0 ms)
2023-01-11T22:11:59.6406697Z [----------] 1 test from EnumTest (0 ms total)
2023-01-11T22:11:59.6406964Z 
2023-01-11T22:11:59.6407253Z [----------] 6 tests from ExpandingArrayTest
2023-01-11T22:11:59.6407628Z [ RUN      ] ExpandingArrayTest.CanConstructFromInitializerList
2023-01-11T22:11:59.6408078Z [       OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms)
2023-01-11T22:11:59.6408477Z [ RUN      ] ExpandingArrayTest.CanConstructFromVector
2023-01-11T22:11:59.6408876Z [       OK ] ExpandingArrayTest.CanConstructFromVector (0 ms)
2023-01-11T22:11:59.6409255Z [ RUN      ] ExpandingArrayTest.CanConstructFromArray
2023-01-11T22:11:59.6409641Z [       OK ] ExpandingArrayTest.CanConstructFromArray (0 ms)
2023-01-11T22:11:59.6410026Z [ RUN      ] ExpandingArrayTest.CanConstructFromSingleValue
2023-01-11T22:11:59.6423925Z [       OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms)
2023-01-11T22:11:59.6424905Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList
2023-01-11T22:11:59.6426144Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (1 ms)
2023-01-11T22:11:59.6427296Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector
2023-01-11T22:11:59.6428407Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (1 ms)
2023-01-11T22:11:59.6429234Z [----------] 6 tests from ExpandingArrayTest (2 ms total)
2023-01-11T22:11:59.6429502Z 
2023-01-11T22:11:59.6429712Z [----------] 10 tests from FFTTest
2023-01-11T22:11:59.6430088Z [ RUN      ] FFTTest.fft
2023-01-11T22:11:59.6517138Z [       OK ] FFTTest.fft (8 ms)
2023-01-11T22:11:59.6517431Z [ RUN      ] FFTTest.fft_real
2023-01-11T22:11:59.6518862Z [       OK ] FFTTest.fft_real (0 ms)
2023-01-11T22:11:59.6519118Z [ RUN      ] FFTTest.fft_pad
2023-01-11T22:11:59.6532066Z [       OK ] FFTTest.fft_pad (1 ms)
2023-01-11T22:11:59.6532342Z [ RUN      ] FFTTest.fft_norm
2023-01-11T22:11:59.6534219Z [       OK ] FFTTest.fft_norm (0 ms)
2023-01-11T22:11:59.6534452Z [ RUN      ] FFTTest.ifft
2023-01-11T22:11:59.6537600Z [       OK ] FFTTest.ifft (0 ms)
2023-01-11T22:11:59.6537920Z [ RUN      ] FFTTest.fft_ifft
2023-01-11T22:11:59.6540360Z [       OK ] FFTTest.fft_ifft (0 ms)
2023-01-11T22:11:59.6540793Z [ RUN      ] FFTTest.rfft
2023-01-11T22:11:59.6544273Z [       OK ] FFTTest.rfft (0 ms)
2023-01-11T22:11:59.6544908Z [ RUN      ] FFTTest.rfft_irfft
2023-01-11T22:11:59.6545511Z [       OK ] FFTTest.rfft_irfft (0 ms)
2023-01-11T22:11:59.6545979Z [ RUN      ] FFTTest.ihfft
2023-01-11T22:11:59.6549725Z [       OK ] FFTTest.ihfft (0 ms)
2023-01-11T22:11:59.6549975Z [ RUN      ] FFTTest.hfft_ihfft
2023-01-11T22:11:59.6572131Z [       OK ] FFTTest.hfft_ihfft (2 ms)
2023-01-11T22:11:59.6572799Z [----------] 10 tests from FFTTest (14 ms total)
2023-01-11T22:11:59.6573048Z 
2023-01-11T22:11:59.6573205Z [----------] 132 tests from FunctionalTest
2023-01-11T22:11:59.6573475Z [ RUN      ] FunctionalTest.Conv1d
2023-01-11T22:11:59.6594494Z [       OK ] FunctionalTest.Conv1d (2 ms)
2023-01-11T22:11:59.6595018Z [ RUN      ] FunctionalTest.Conv2dEven
2023-01-11T22:11:59.6600757Z [       OK ] FunctionalTest.Conv2dEven (0 ms)
2023-01-11T22:11:59.6601061Z [ RUN      ] FunctionalTest.Conv2dUneven
2023-01-11T22:11:59.6603297Z [       OK ] FunctionalTest.Conv2dUneven (0 ms)
2023-01-11T22:11:59.6603779Z [ RUN      ] FunctionalTest.Conv3d
2023-01-11T22:11:59.6607950Z [       OK ] FunctionalTest.Conv3d (0 ms)
2023-01-11T22:11:59.6608247Z [ RUN      ] FunctionalTest.MaxPool1d
2023-01-11T22:11:59.6630048Z [       OK ] FunctionalTest.MaxPool1d (2 ms)
2023-01-11T22:11:59.6630378Z [ RUN      ] FunctionalTest.MaxPool2d
2023-01-11T22:11:59.6631724Z [       OK ] FunctionalTest.MaxPool2d (0 ms)
2023-01-11T22:11:59.6632046Z [ RUN      ] FunctionalTest.MaxPool2dBackward
2023-01-11T22:11:59.6634184Z [       OK ] FunctionalTest.MaxPool2dBackward (0 ms)
2023-01-11T22:11:59.6634659Z [ RUN      ] FunctionalTest.MaxPool3d
2023-01-11T22:11:59.6635196Z [       OK ] FunctionalTest.MaxPool3d (0 ms)
2023-01-11T22:11:59.6635716Z [ RUN      ] FunctionalTest.AvgPool1d
2023-01-11T22:11:59.6636518Z [       OK ] FunctionalTest.AvgPool1d (0 ms)
2023-01-11T22:11:59.6637068Z [ RUN      ] FunctionalTest.AvgPool2d
2023-01-11T22:11:59.6637866Z [       OK ] FunctionalTest.AvgPool2d (0 ms)
2023-01-11T22:11:59.6638366Z [ RUN      ] FunctionalTest.AvgPool3d
2023-01-11T22:11:59.6639050Z [       OK ] FunctionalTest.AvgPool3d (0 ms)
2023-01-11T22:11:59.6639649Z [ RUN      ] FunctionalTest.FractionalMaxPool2d
2023-01-11T22:11:59.6643261Z [       OK ] FunctionalTest.FractionalMaxPool2d (0 ms)
2023-01-11T22:11:59.6643975Z [ RUN      ] FunctionalTest.FractionalMaxPool3d
2023-01-11T22:11:59.6645522Z [       OK ] FunctionalTest.FractionalMaxPool3d (0 ms)
2023-01-11T22:11:59.6646080Z [ RUN      ] FunctionalTest.LPPool1d
2023-01-11T22:11:59.6647298Z [       OK ] FunctionalTest.LPPool1d (0 ms)
2023-01-11T22:11:59.6647827Z [ RUN      ] FunctionalTest.LPPool2d
2023-01-11T22:11:59.6648855Z [       OK ] FunctionalTest.LPPool2d (0 ms)
2023-01-11T22:11:59.6649444Z [ RUN      ] FunctionalTest.CosineSimilarity
2023-01-11T22:11:59.6650325Z [       OK ] FunctionalTest.CosineSimilarity (0 ms)
2023-01-11T22:11:59.6650951Z [ RUN      ] FunctionalTest.SmoothL1LossDefaultOptions
2023-01-11T22:11:59.6652763Z [       OK ] FunctionalTest.SmoothL1LossDefaultOptions (0 ms)
2023-01-11T22:11:59.6653154Z [ RUN      ] FunctionalTest.SmoothL1LossBeta
2023-01-11T22:11:59.6654116Z [       OK ] FunctionalTest.SmoothL1LossBeta (0 ms)
2023-01-11T22:11:59.6654523Z [ RUN      ] FunctionalTest.SmoothL1LossNoReduction
2023-01-11T22:11:59.6655743Z [       OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms)
2023-01-11T22:11:59.6656122Z [ RUN      ] FunctionalTest.HuberLossDefaultOptions
2023-01-11T22:11:59.6657169Z [       OK ] FunctionalTest.HuberLossDefaultOptions (0 ms)
2023-01-11T22:11:59.6657563Z [ RUN      ] FunctionalTest.HuberLossDelta
2023-01-11T22:11:59.6658707Z [       OK ] FunctionalTest.HuberLossDelta (0 ms)
2023-01-11T22:11:59.6659041Z [ RUN      ] FunctionalTest.HuberLossNoReduction
2023-01-11T22:11:59.6659960Z [       OK ] FunctionalTest.HuberLossNoReduction (0 ms)
2023-01-11T22:11:59.6660346Z [ RUN      ] FunctionalTest.SoftMarginLossDefaultOptions
2023-01-11T22:11:59.6662544Z [       OK ] FunctionalTest.SoftMarginLossDefaultOptions (0 ms)
2023-01-11T22:11:59.6663062Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions
2023-01-11T22:11:59.6666583Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (0 ms)
2023-01-11T22:11:59.6667176Z [ RUN      ] FunctionalTest.SoftMarginLossNoReduction
2023-01-11T22:11:59.6668722Z [       OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms)
2023-01-11T22:11:59.6669401Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction
2023-01-11T22:11:59.6672343Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms)
2023-01-11T22:11:59.6672983Z [ RUN      ] FunctionalTest.PairwiseDistance
2023-01-11T22:11:59.6673587Z [       OK ] FunctionalTest.PairwiseDistance (0 ms)
2023-01-11T22:11:59.6674070Z [ RUN      ] FunctionalTest.PDist
2023-01-11T22:11:59.6675979Z [       OK ] FunctionalTest.PDist (0 ms)
2023-01-11T22:11:59.6676359Z [ RUN      ] FunctionalTest.AdaptiveMaxPool1d
2023-01-11T22:11:59.6677043Z [       OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms)
2023-01-11T22:11:59.6677568Z [ RUN      ] FunctionalTest.AdaptiveMaxPool2d
2023-01-11T22:11:59.6678109Z [       OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms)
2023-01-11T22:11:59.6678671Z [ RUN      ] FunctionalTest.AdaptiveMaxPool3d
2023-01-11T22:11:59.6679306Z [       OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms)
2023-01-11T22:11:59.6679923Z [ RUN      ] FunctionalTest.AdaptiveAvgPool1d
2023-01-11T22:11:59.6680438Z [       OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms)
2023-01-11T22:11:59.6680763Z [ RUN      ] FunctionalTest.AdaptiveAvgPool2d
2023-01-11T22:11:59.6681669Z [       OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms)
2023-01-11T22:11:59.6682188Z [ RUN      ] FunctionalTest.AdaptiveAvgPool3d
2023-01-11T22:11:59.6683645Z [       OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms)
2023-01-11T22:11:59.6684125Z [ RUN      ] FunctionalTest.L1Loss
2023-01-11T22:11:59.6686397Z [       OK ] FunctionalTest.L1Loss (0 ms)
2023-01-11T22:11:59.6686851Z [ RUN      ] FunctionalTest.MSELoss
2023-01-11T22:11:59.6687449Z [       OK ] FunctionalTest.MSELoss (0 ms)
2023-01-11T22:11:59.6687904Z [ RUN      ] FunctionalTest.BCELoss
2023-01-11T22:11:59.6689434Z [       OK ] FunctionalTest.BCELoss (0 ms)
2023-01-11T22:11:59.6689902Z [ RUN      ] FunctionalTest.KLDivLoss
2023-01-11T22:11:59.6690995Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2023-01-11T22:11:59.6692135Z [       OK ] FunctionalTest.KLDivLoss (0 ms)
2023-01-11T22:11:59.6692687Z [ RUN      ] FunctionalTest.HingeEmbeddingLoss
2023-01-11T22:11:59.6693435Z [       OK ] FunctionalTest.HingeEmbeddingLoss (0 ms)
2023-01-11T22:11:59.6693967Z [ RUN      ] FunctionalTest.GridSample
2023-01-11T22:11:59.6698617Z [W vision.h:87] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample)
2023-01-11T22:11:59.6699391Z [       OK ] FunctionalTest.GridSample (0 ms)
2023-01-11T22:11:59.6699827Z [ RUN      ] FunctionalTest.AffineGrid
2023-01-11T22:11:59.6837857Z [       OK ] FunctionalTest.AffineGrid (13 ms)
2023-01-11T22:11:59.6838430Z [ RUN      ] FunctionalTest.MultiMarginLoss
2023-01-11T22:11:59.6839410Z [       OK ] FunctionalTest.MultiMarginLoss (0 ms)
2023-01-11T22:11:59.6840029Z [ RUN      ] FunctionalTest.CosineEmbeddingLoss
2023-01-11T22:11:59.6841307Z [       OK ] FunctionalTest.CosineEmbeddingLoss (0 ms)
2023-01-11T22:11:59.6841952Z [ RUN      ] FunctionalTest.MultiLabelMarginLossDefaultOptions
2023-01-11T22:11:59.6843939Z [       OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms)
2023-01-11T22:11:59.6844587Z [ RUN      ] FunctionalTest.MultiLabelMarginLossNoReduction
2023-01-11T22:11:59.6845619Z [       OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms)
2023-01-11T22:11:59.6846217Z [ RUN      ] FunctionalTest.TripletMarginLoss
2023-01-11T22:11:59.6847688Z [       OK ] FunctionalTest.TripletMarginLoss (0 ms)
2023-01-11T22:11:59.6848378Z [ RUN      ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity
2023-01-11T22:11:59.6984123Z [       OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (13 ms)
2023-01-11T22:11:59.6984669Z [ RUN      ] FunctionalTest.NLLLoss
2023-01-11T22:11:59.6985701Z [       OK ] FunctionalTest.NLLLoss (0 ms)
2023-01-11T22:11:59.6986260Z [ RUN      ] FunctionalTest.CrossEntropy
2023-01-11T22:11:59.6989838Z [       OK ] FunctionalTest.CrossEntropy (0 ms)
2023-01-11T22:11:59.6990422Z [ RUN      ] FunctionalTest.MaxUnpool1d
2023-01-11T22:11:59.6994605Z [       OK ] FunctionalTest.MaxUnpool1d (0 ms)
2023-01-11T22:11:59.6995103Z [ RUN      ] FunctionalTest.MaxUnpool2d
2023-01-11T22:11:59.7004452Z [       OK ] FunctionalTest.MaxUnpool2d (0 ms)
2023-01-11T22:11:59.7005093Z [ RUN      ] FunctionalTest.MaxUnpool3d
2023-01-11T22:11:59.7005720Z [       OK ] FunctionalTest.MaxUnpool3d (0 ms)
2023-01-11T22:11:59.7006286Z [ RUN      ] FunctionalTest.ELU
2023-01-11T22:11:59.7013883Z [       OK ] FunctionalTest.ELU (1 ms)
2023-01-11T22:11:59.7014197Z [ RUN      ] FunctionalTest.SELU
2023-01-11T22:11:59.7017156Z [       OK ] FunctionalTest.SELU (0 ms)
2023-01-11T22:11:59.7017441Z [ RUN      ] FunctionalTest.GLU
2023-01-11T22:11:59.7019134Z [       OK ] FunctionalTest.GLU (0 ms)
2023-01-11T22:11:59.7019615Z [ RUN      ] FunctionalTest.GELU
2023-01-11T22:11:59.7022867Z [       OK ] FunctionalTest.GELU (0 ms)
2023-01-11T22:11:59.7023402Z [ RUN      ] FunctionalTest.TanhGELU
2023-01-11T22:11:59.7024366Z [       OK ] FunctionalTest.TanhGELU (0 ms)
2023-01-11T22:11:59.7024905Z [ RUN      ] FunctionalTest.Hardshrink
2023-01-11T22:11:59.7031886Z [       OK ] FunctionalTest.Hardshrink (0 ms)
2023-01-11T22:11:59.7032450Z [ RUN      ] FunctionalTest.OneHot
2023-01-11T22:11:59.7035199Z [       OK ] FunctionalTest.OneHot (0 ms)
2023-01-11T22:11:59.7035734Z [ RUN      ] FunctionalTest.Hardtanh
2023-01-11T22:11:59.7057724Z [       OK ] FunctionalTest.Hardtanh (2 ms)
2023-01-11T22:11:59.7058285Z [ RUN      ] FunctionalTest.LeakyReLU
2023-01-11T22:11:59.7065180Z [       OK ] FunctionalTest.LeakyReLU (0 ms)
2023-01-11T22:11:59.7065743Z [ RUN      ] FunctionalTest.LogSigmoid
2023-01-11T22:11:59.7067385Z [       OK ] FunctionalTest.LogSigmoid (0 ms)
2023-01-11T22:11:59.7067949Z [ RUN      ] FunctionalTest.GumbelSoftmax
2023-01-11T22:11:59.7098342Z [       OK ] FunctionalTest.GumbelSoftmax (3 ms)
2023-01-11T22:11:59.7098897Z [ RUN      ] FunctionalTest.Softmax
2023-01-11T22:11:59.7099756Z [       OK ] FunctionalTest.Softmax (0 ms)
2023-01-11T22:11:59.7100270Z [ RUN      ] FunctionalTest.Softmin
2023-01-11T22:11:59.7101322Z [       OK ] FunctionalTest.Softmin (0 ms)
2023-01-11T22:11:59.7101833Z [ RUN      ] FunctionalTest.LogSoftmax
2023-01-11T22:11:59.7102675Z [       OK ] FunctionalTest.LogSoftmax (0 ms)
2023-01-11T22:11:59.7103215Z [ RUN      ] FunctionalTest.PReLU
2023-01-11T22:11:59.7105108Z [       OK ] FunctionalTest.PReLU (0 ms)
2023-01-11T22:11:59.7105747Z [ RUN      ] FunctionalTest.LayerNorm
2023-01-11T22:11:59.7106268Z [       OK ] FunctionalTest.LayerNorm (0 ms)
2023-01-11T22:11:59.7106826Z [ RUN      ] FunctionalTest.GroupNorm
2023-01-11T22:11:59.7107723Z [       OK ] FunctionalTest.GroupNorm (0 ms)
2023-01-11T22:11:59.7108301Z [ RUN      ] FunctionalTest.LocalResponseNorm
2023-01-11T22:11:59.7110219Z [       OK ] FunctionalTest.LocalResponseNorm (0 ms)
2023-01-11T22:11:59.7110789Z [ RUN      ] FunctionalTest.Linear
2023-01-11T22:11:59.7113201Z [       OK ] FunctionalTest.Linear (0 ms)
2023-01-11T22:11:59.7113738Z [ RUN      ] FunctionalTest.Embedding
2023-01-11T22:11:59.7114485Z [       OK ] FunctionalTest.Embedding (0 ms)
2023-01-11T22:11:59.7115050Z [ RUN      ] FunctionalTest.EmbeddingBag
2023-01-11T22:11:59.7119452Z [       OK ] FunctionalTest.EmbeddingBag (0 ms)
2023-01-11T22:11:59.7120002Z [ RUN      ] FunctionalTest.Bilinear
2023-01-11T22:11:59.7123024Z [       OK ] FunctionalTest.Bilinear (0 ms)
2023-01-11T22:11:59.7123706Z [ RUN      ] FunctionalTest.Normalize
2023-01-11T22:11:59.7127345Z [       OK ] FunctionalTest.Normalize (0 ms)
2023-01-11T22:11:59.7127882Z [ RUN      ] FunctionalTest.ReLU
2023-01-11T22:11:59.7129993Z [       OK ] FunctionalTest.ReLU (0 ms)
2023-01-11T22:11:59.7130549Z [ RUN      ] FunctionalTest.ReLUDefaultOptions
2023-01-11T22:11:59.7131197Z [       OK ] FunctionalTest.ReLUDefaultOptions (0 ms)
2023-01-11T22:11:59.7131522Z [ RUN      ] FunctionalTest.ReLU6
2023-01-11T22:11:59.7133630Z [       OK ] FunctionalTest.ReLU6 (0 ms)
2023-01-11T22:11:59.7133936Z [ RUN      ] FunctionalTest.ReLU6DefaultOptions
2023-01-11T22:11:59.7134757Z [       OK ] FunctionalTest.ReLU6DefaultOptions (0 ms)
2023-01-11T22:11:59.7135072Z [ RUN      ] FunctionalTest.RReLU
2023-01-11T22:11:59.7163339Z [       OK ] FunctionalTest.RReLU (2 ms)
2023-01-11T22:11:59.7163799Z [ RUN      ] FunctionalTest.RReLUDefaultOptions
2023-01-11T22:11:59.7165304Z [       OK ] FunctionalTest.RReLUDefaultOptions (0 ms)
2023-01-11T22:11:59.7165613Z [ RUN      ] FunctionalTest.CELU
2023-01-11T22:11:59.7175092Z [       OK ] FunctionalTest.CELU (0 ms)
2023-01-11T22:11:59.7175436Z [ RUN      ] FunctionalTest.CELUDefaultOptions
2023-01-11T22:11:59.7176520Z [       OK ] FunctionalTest.CELUDefaultOptions (0 ms)
2023-01-11T22:11:59.7176853Z [ RUN      ] FunctionalTest.PixelShuffle
2023-01-11T22:11:59.7178463Z [       OK ] FunctionalTest.PixelShuffle (0 ms)
2023-01-11T22:11:59.7178810Z [ RUN      ] FunctionalTest.PixelUnshuffle
2023-01-11T22:11:59.7180199Z [       OK ] FunctionalTest.PixelUnshuffle (0 ms)
2023-01-11T22:11:59.7180548Z [ RUN      ] FunctionalTest.Softplus
2023-01-11T22:11:59.7186333Z [       OK ] FunctionalTest.Softplus (0 ms)
2023-01-11T22:11:59.7186745Z [ RUN      ] FunctionalTest.SoftplusDefaultOptions
2023-01-11T22:11:59.7187141Z [       OK ] FunctionalTest.SoftplusDefaultOptions (0 ms)
2023-01-11T22:11:59.7187547Z [ RUN      ] FunctionalTest.Fold
2023-01-11T22:11:59.7188448Z [       OK ] FunctionalTest.Fold (0 ms)
2023-01-11T22:11:59.7188786Z [ RUN      ] FunctionalTest.Unfold
2023-01-11T22:11:59.7190220Z [       OK ] FunctionalTest.Unfold (0 ms)
2023-01-11T22:11:59.7190563Z [ RUN      ] FunctionalTest.Softshrink
2023-01-11T22:11:59.7196058Z [       OK ] FunctionalTest.Softshrink (0 ms)
2023-01-11T22:11:59.7196395Z [ RUN      ] FunctionalTest.SoftshrinkDefaultOptions
2023-01-11T22:11:59.7198381Z [       OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms)
2023-01-11T22:11:59.7198761Z [ RUN      ] FunctionalTest.Softsign
2023-01-11T22:11:59.7199674Z [       OK ] FunctionalTest.Softsign (0 ms)
2023-01-11T22:11:59.7200176Z [ RUN      ] FunctionalTest.Mish
2023-01-11T22:11:59.7200738Z [       OK ] FunctionalTest.Mish (0 ms)
2023-01-11T22:11:59.7201046Z [ RUN      ] FunctionalTest.Tanhshrink
2023-01-11T22:11:59.7201597Z [       OK ] FunctionalTest.Tanhshrink (0 ms)
2023-01-11T22:11:59.7201944Z [ RUN      ] FunctionalTest.Threshold
2023-01-11T22:11:59.7213600Z [       OK ] FunctionalTest.Threshold (1 ms)
2023-01-11T22:11:59.7214133Z [ RUN      ] FunctionalTest.BatchNorm1d
2023-01-11T22:11:59.7214987Z [       OK ] FunctionalTest.BatchNorm1d (0 ms)
2023-01-11T22:11:59.7215541Z [ RUN      ] FunctionalTest.BatchNorm1dDefaultOptions
2023-01-11T22:11:59.7216900Z [       OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms)
2023-01-11T22:11:59.7217556Z [ RUN      ] FunctionalTest.BatchNorm2d
2023-01-11T22:11:59.7218837Z [       OK ] FunctionalTest.BatchNorm2d (0 ms)
2023-01-11T22:11:59.7219536Z [ RUN      ] FunctionalTest.BatchNorm2dDefaultOptions
2023-01-11T22:11:59.7220773Z [       OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms)
2023-01-11T22:11:59.7221377Z [ RUN      ] FunctionalTest.BatchNorm3d
2023-01-11T22:11:59.7222399Z [       OK ] FunctionalTest.BatchNorm3d (0 ms)
2023-01-11T22:11:59.7223034Z [ RUN      ] FunctionalTest.BatchNorm3dDefaultOptions
2023-01-11T22:11:59.7224681Z [       OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms)
2023-01-11T22:11:59.7225318Z [ RUN      ] FunctionalTest.InstanceNorm1d
2023-01-11T22:11:59.7228612Z [       OK ] FunctionalTest.InstanceNorm1d (0 ms)
2023-01-11T22:11:59.7229278Z [ RUN      ] FunctionalTest.InstanceNorm1dDefaultOptions
2023-01-11T22:11:59.7231338Z [       OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms)
2023-01-11T22:11:59.7232002Z [ RUN      ] FunctionalTest.InstanceNorm2d
2023-01-11T22:11:59.7234294Z [       OK ] FunctionalTest.InstanceNorm2d (0 ms)
2023-01-11T22:11:59.7234949Z [ RUN      ] FunctionalTest.InstanceNorm2dDefaultOptions
2023-01-11T22:11:59.7237037Z [       OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms)
2023-01-11T22:11:59.7237691Z [ RUN      ] FunctionalTest.InstanceNorm3d
2023-01-11T22:11:59.7240962Z [       OK ] FunctionalTest.InstanceNorm3d (0 ms)
2023-01-11T22:11:59.7241618Z [ RUN      ] FunctionalTest.InstanceNorm3dDefaultOptions
2023-01-11T22:11:59.7244620Z [       OK ] FunctionalTest.InstanceNorm3dDefaultOptions (0 ms)
2023-01-11T22:11:59.7245277Z [ RUN      ] FunctionalTest.Interpolate
2023-01-11T22:11:59.7246413Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7248135Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7249989Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7251696Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7253475Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7255146Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7256856Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7258538Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:11:59.7328963Z [       OK ] FunctionalTest.Interpolate (8 ms)
2023-01-11T22:11:59.7329357Z [ RUN      ] FunctionalTest.Pad1
2023-01-11T22:11:59.7330016Z [       OK ] FunctionalTest.Pad1 (0 ms)
2023-01-11T22:11:59.7330601Z [ RUN      ] FunctionalTest.Pad2
2023-01-11T22:11:59.7333102Z [       OK ] FunctionalTest.Pad2 (0 ms)
2023-01-11T22:11:59.7333658Z [ RUN      ] FunctionalTest.Pad3
2023-01-11T22:11:59.7345693Z [       OK ] FunctionalTest.Pad3 (0 ms)
2023-01-11T22:11:59.7346190Z [ RUN      ] FunctionalTest.Pad4
2023-01-11T22:11:59.7346741Z [       OK ] FunctionalTest.Pad4 (0 ms)
2023-01-11T22:11:59.7347008Z [ RUN      ] FunctionalTest.Pad5
2023-01-11T22:11:59.7347365Z [       OK ] FunctionalTest.Pad5 (0 ms)
2023-01-11T22:11:59.7347807Z [ RUN      ] FunctionalTest.Pad6
2023-01-11T22:11:59.7348312Z [       OK ] FunctionalTest.Pad6 (0 ms)
2023-01-11T22:11:59.7348604Z [ RUN      ] FunctionalTest.Pad7
2023-01-11T22:11:59.7348882Z [       OK ] FunctionalTest.Pad7 (0 ms)
2023-01-11T22:11:59.7349152Z [ RUN      ] FunctionalTest.Pad8
2023-01-11T22:11:59.7349417Z [       OK ] FunctionalTest.Pad8 (0 ms)
2023-01-11T22:11:59.7350971Z [ RUN      ] FunctionalTest.CTCLoss
2023-01-11T22:11:59.7457009Z [       OK ] FunctionalTest.CTCLoss (11 ms)
2023-01-11T22:11:59.7457353Z [ RUN      ] FunctionalTest.PoissonNLLLoss
2023-01-11T22:11:59.7459610Z [       OK ] FunctionalTest.PoissonNLLLoss (0 ms)
2023-01-11T22:11:59.7460039Z [ RUN      ] FunctionalTest.MarginRankingLoss
2023-01-11T22:11:59.7462804Z [       OK ] FunctionalTest.MarginRankingLoss (0 ms)
2023-01-11T22:11:59.7463145Z [ RUN      ] FunctionalTest.ConvTranspose1d
2023-01-11T22:11:59.7465993Z [       OK ] FunctionalTest.ConvTranspose1d (0 ms)
2023-01-11T22:11:59.7466388Z [ RUN      ] FunctionalTest.ConvTranspose2dEven
2023-01-11T22:11:59.7470275Z [       OK ] FunctionalTest.ConvTranspose2dEven (0 ms)
2023-01-11T22:11:59.7470687Z [ RUN      ] FunctionalTest.ConvTranspose2dUneven
2023-01-11T22:11:59.7474300Z [       OK ] FunctionalTest.ConvTranspose2dUneven (0 ms)
2023-01-11T22:11:59.7474696Z [ RUN      ] FunctionalTest.ConvTranspose3d
2023-01-11T22:11:59.7477802Z [       OK ] FunctionalTest.ConvTranspose3d (0 ms)
2023-01-11T22:11:59.7478123Z [ RUN      ] FunctionalTest.AlphaDropout
2023-01-11T22:11:59.7487541Z [       OK ] FunctionalTest.AlphaDropout (0 ms)
2023-01-11T22:11:59.7487904Z [ RUN      ] FunctionalTest.FeatureAlphaDropout
2023-01-11T22:11:59.7496461Z [       OK ] FunctionalTest.FeatureAlphaDropout (0 ms)
2023-01-11T22:11:59.7497056Z [ RUN      ] FunctionalTest.Dropout
2023-01-11T22:11:59.7502626Z [       OK ] FunctionalTest.Dropout (0 ms)
2023-01-11T22:11:59.7503173Z [ RUN      ] FunctionalTest.Dropout2d
2023-01-11T22:11:59.7508947Z [       OK ] FunctionalTest.Dropout2d (0 ms)
2023-01-11T22:11:59.7509515Z [ RUN      ] FunctionalTest.Dropout3d
2023-01-11T22:11:59.7515177Z [       OK ] FunctionalTest.Dropout3d (0 ms)
2023-01-11T22:11:59.7515721Z [ RUN      ] FunctionalTest.isfinite
2023-01-11T22:11:59.7520910Z [       OK ] FunctionalTest.isfinite (0 ms)
2023-01-11T22:11:59.7521443Z [ RUN      ] FunctionalTest.isinf
2023-01-11T22:11:59.7525828Z [       OK ] FunctionalTest.isinf (0 ms)
2023-01-11T22:11:59.7526358Z [ RUN      ] FunctionalTest.AllClose
2023-01-11T22:11:59.7585372Z [       OK ] FunctionalTest.AllClose (5 ms)
2023-01-11T22:11:59.7585962Z [ RUN      ] FunctionalTest.BCEWithLogitsLoss
2023-01-11T22:11:59.7623729Z [       OK ] FunctionalTest.BCEWithLogitsLoss (3 ms)
2023-01-11T22:11:59.7624358Z [----------] 132 tests from FunctionalTest (105 ms total)
2023-01-11T22:11:59.7624680Z 
2023-01-11T22:11:59.7624868Z [----------] 1 test from IntegrationTest
2023-01-11T22:11:59.7625159Z [ RUN      ] IntegrationTest.CartPole
2023-01-11T22:12:12.7477059Z [       OK ] IntegrationTest.CartPole (12985 ms)
2023-01-11T22:12:12.7477458Z [----------] 1 test from IntegrationTest (12985 ms total)
2023-01-11T22:12:12.7477633Z 
2023-01-11T22:12:12.7477783Z [----------] 9 tests from InitTest
2023-01-11T22:12:12.7478115Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierUniform
2023-01-11T22:12:12.7493774Z [       OK ] InitTest.ProducesPyTorchValues_XavierUniform (1 ms)
2023-01-11T22:12:12.7494166Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierNormal
2023-01-11T22:12:12.7506291Z [       OK ] InitTest.ProducesPyTorchValues_XavierNormal (1 ms)
2023-01-11T22:12:12.7506678Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingNormal
2023-01-11T22:12:12.7519529Z [       OK ] InitTest.ProducesPyTorchValues_KaimingNormal (1 ms)
2023-01-11T22:12:12.7519922Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingUniform
2023-01-11T22:12:12.7531210Z [       OK ] InitTest.ProducesPyTorchValues_KaimingUniform (1 ms)
2023-01-11T22:12:12.7531597Z [ RUN      ] InitTest.CanInitializeTensorThatRequiresGrad
2023-01-11T22:12:12.7557555Z [       OK ] InitTest.CanInitializeTensorThatRequiresGrad (2 ms)
2023-01-11T22:12:12.7557936Z [ RUN      ] InitTest.CalculateGainWithTanh
2023-01-11T22:12:12.7558487Z [       OK ] InitTest.CalculateGainWithTanh (0 ms)
2023-01-11T22:12:12.7558806Z [ RUN      ] InitTest.CalculateGainWithRelu
2023-01-11T22:12:12.7559130Z [       OK ] InitTest.CalculateGainWithRelu (0 ms)
2023-01-11T22:12:12.7559465Z [ RUN      ] InitTest.CalculateGainWithLeakyRelu
2023-01-11T22:12:12.7559804Z [       OK ] InitTest.CalculateGainWithLeakyRelu (0 ms)
2023-01-11T22:12:12.7560168Z [ RUN      ] InitTest.CanInitializeCnnWithOrthogonal
2023-01-11T22:12:12.7587645Z [       OK ] InitTest.CanInitializeCnnWithOrthogonal (2 ms)
2023-01-11T22:12:12.7588312Z [----------] 9 tests from InitTest (11 ms total)
2023-01-11T22:12:12.7588566Z 
2023-01-11T22:12:12.7588860Z [----------] 6 tests from TorchScriptTest
2023-01-11T22:12:12.7589543Z [ RUN      ] TorchScriptTest.CanCompileMultipleFunctions
2023-01-11T22:12:12.7975575Z [       OK ] TorchScriptTest.CanCompileMultipleFunctions (38 ms)
2023-01-11T22:12:12.7976379Z [ RUN      ] TorchScriptTest.TestNestedIValueModuleArgMatching
2023-01-11T22:12:12.8009993Z [       OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (3 ms)
2023-01-11T22:12:12.8010727Z [ RUN      ] TorchScriptTest.TestDictArgMatching
2023-01-11T22:12:12.8013857Z [       OK ] TorchScriptTest.TestDictArgMatching (0 ms)
2023-01-11T22:12:12.8014491Z [ RUN      ] TorchScriptTest.TestTupleArgMatching
2023-01-11T22:12:12.8015326Z [       OK ] TorchScriptTest.TestTupleArgMatching (0 ms)
2023-01-11T22:12:12.8015952Z [ RUN      ] TorchScriptTest.TestOptionalArgMatching
2023-01-11T22:12:12.8021630Z [       OK ] TorchScriptTest.TestOptionalArgMatching (0 ms)
2023-01-11T22:12:12.8022223Z [ RUN      ] TorchScriptTest.TestPickle
2023-01-11T22:12:12.8022686Z [       OK ] TorchScriptTest.TestPickle (0 ms)
2023-01-11T22:12:12.8023308Z [----------] 6 tests from TorchScriptTest (43 ms total)
2023-01-11T22:12:12.8023600Z 
2023-01-11T22:12:12.8023902Z [----------] 3 tests from MakeUniqueTest
2023-01-11T22:12:12.8024345Z [ RUN      ] MakeUniqueTest.ForwardRvaluesCorrectly
2023-01-11T22:12:12.8024723Z [       OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms)
2023-01-11T22:12:12.8025090Z [ RUN      ] MakeUniqueTest.ForwardLvaluesCorrectly
2023-01-11T22:12:12.8025443Z [       OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms)
2023-01-11T22:12:12.8025834Z [ RUN      ] MakeUniqueTest.CanConstructUniquePtrOfArray
2023-01-11T22:12:12.8026238Z [       OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms)
2023-01-11T22:12:12.8026608Z [----------] 3 tests from MakeUniqueTest (0 ms total)
2023-01-11T22:12:12.8026750Z 
2023-01-11T22:12:12.8026901Z [----------] 2 tests from MetaTensorTest
2023-01-11T22:12:12.8027193Z [ RUN      ] MetaTensorTest.MetaDeviceApi
2023-01-11T22:12:12.8027510Z [       OK ] MetaTensorTest.MetaDeviceApi (0 ms)
2023-01-11T22:12:12.8027818Z [ RUN      ] MetaTensorTest.MetaNamespaceApi
2023-01-11T22:12:12.8028150Z [       OK ] MetaTensorTest.MetaNamespaceApi (0 ms)
2023-01-11T22:12:12.8028481Z [----------] 2 tests from MetaTensorTest (0 ms total)
2023-01-11T22:12:12.8028633Z 
2023-01-11T22:12:12.8028776Z [----------] 2 tests from UtilsTest
2023-01-11T22:12:12.8029020Z [ RUN      ] UtilsTest.WarnOnce
2023-01-11T22:12:12.8029301Z [       OK ] UtilsTest.WarnOnce (0 ms)
2023-01-11T22:12:12.8029616Z [ RUN      ] UtilsTest.AmbiguousOperatorDefaults
2023-01-11T22:12:12.8029956Z [       OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms)
2023-01-11T22:12:12.8030287Z [----------] 2 tests from UtilsTest (0 ms total)
2023-01-11T22:12:12.8030430Z 
2023-01-11T22:12:12.8030571Z [----------] 1 test from NoGradTest
2023-01-11T22:12:12.8030854Z [ RUN      ] NoGradTest.SetsGradModeCorrectly
2023-01-11T22:12:12.8058125Z [       OK ] NoGradTest.SetsGradModeCorrectly (3 ms)
2023-01-11T22:12:12.8058547Z [----------] 1 test from NoGradTest (3 ms total)
2023-01-11T22:12:12.8058783Z 
2023-01-11T22:12:12.8058979Z [----------] 3 tests from AutogradTest
2023-01-11T22:12:12.8059393Z [ RUN      ] AutogradTest.CanTakeDerivatives
2023-01-11T22:12:12.8059808Z [       OK ] AutogradTest.CanTakeDerivatives (0 ms)
2023-01-11T22:12:12.8060386Z [ RUN      ] AutogradTest.CanTakeDerivativesOfZeroDimTensors
2023-01-11T22:12:12.8061128Z [       OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms)
2023-01-11T22:12:12.8061680Z [ RUN      ] AutogradTest.CanPassCustomGradientInputs
2023-01-11T22:12:12.8062186Z [       OK ] AutogradTest.CanPassCustomGradientInputs (0 ms)
2023-01-11T22:12:12.8062726Z [----------] 3 tests from AutogradTest (0 ms total)
2023-01-11T22:12:12.8062893Z 
2023-01-11T22:12:12.8063123Z [----------] 1 test from OptionalArrayRefTest
2023-01-11T22:12:12.8063456Z [ RUN      ] OptionalArrayRefTest.DanglingPointerFix
2023-01-11T22:12:12.8063887Z [       OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms)
2023-01-11T22:12:12.8064390Z [----------] 1 test from OptionalArrayRefTest (0 ms total)
2023-01-11T22:12:12.8064613Z 
2023-01-11T22:12:12.8064796Z [----------] 52 tests from ModuleTest
2023-01-11T22:12:12.8065330Z [ RUN      ] ModuleTest.CanEnableAndDisableTrainingMode
2023-01-11T22:12:12.8065838Z [       OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms)
2023-01-11T22:12:12.8066152Z [ RUN      ] ModuleTest.ZeroGrad
2023-01-11T22:12:12.8066435Z [       OK ] ModuleTest.ZeroGrad (0 ms)
2023-01-11T22:12:12.8066739Z [ RUN      ] ModuleTest.ZeroGradWithUndefined
2023-01-11T22:12:12.8067079Z [       OK ] ModuleTest.ZeroGradWithUndefined (0 ms)
2023-01-11T22:12:12.8067462Z [ RUN      ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName
2023-01-11T22:12:12.8090040Z [       OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (2 ms)
2023-01-11T22:12:12.8090525Z [ RUN      ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName
2023-01-11T22:12:12.8101958Z [       OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (1 ms)
2023-01-11T22:12:12.8102461Z [ RUN      ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName
2023-01-11T22:12:12.8114399Z [       OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (1 ms)
2023-01-11T22:12:12.8114965Z [ RUN      ] ModuleTest.ReplaceModule
2023-01-11T22:12:12.8115265Z [       OK ] ModuleTest.ReplaceModule (0 ms)
2023-01-11T22:12:12.8115567Z [ RUN      ] ModuleTest.UnregisterModule
2023-01-11T22:12:12.8149550Z [       OK ] ModuleTest.UnregisterModule (3 ms)
2023-01-11T22:12:12.8149970Z [ RUN      ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName
2023-01-11T22:12:12.8182637Z [       OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (3 ms)
2023-01-11T22:12:12.8183239Z [ RUN      ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName
2023-01-11T22:12:12.8204926Z [       OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (2 ms)
2023-01-11T22:12:12.8205625Z [ RUN      ] ModuleTest.RegisterParameterUndefinedTensor
2023-01-11T22:12:12.8206040Z [       OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms)
2023-01-11T22:12:12.8206476Z [ RUN      ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName
2023-01-11T22:12:12.8237300Z [       OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (3 ms)
2023-01-11T22:12:12.8237979Z [ RUN      ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName
2023-01-11T22:12:12.8259643Z [       OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (2 ms)
2023-01-11T22:12:12.8260213Z [ RUN      ] ModuleTest.CanGetName
2023-01-11T22:12:12.8260654Z [       OK ] ModuleTest.CanGetName (0 ms)
2023-01-11T22:12:12.8260962Z [ RUN      ] ModuleTest.AsCastsModulesCorrectly
2023-01-11T22:12:12.8261307Z [       OK ] ModuleTest.AsCastsModulesCorrectly (0 ms)
2023-01-11T22:12:12.8261722Z [ RUN      ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor
2023-01-11T22:12:12.8268889Z [       OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (0 ms)
2023-01-11T22:12:12.8270081Z [ RUN      ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor
2023-01-11T22:12:12.8271061Z [       OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms)
2023-01-11T22:12:12.8272033Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows
2023-01-11T22:12:12.8286892Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (1 ms)
2023-01-11T22:12:12.8287815Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow
2023-01-11T22:12:12.8288815Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms)
2023-01-11T22:12:12.8289790Z [ RUN      ] ModuleTest.CloneCreatesDistinctParameters
2023-01-11T22:12:12.8294932Z [       OK ] ModuleTest.CloneCreatesDistinctParameters (0 ms)
2023-01-11T22:12:12.8295726Z [ RUN      ] ModuleTest.ClonePreservesExternalReferences
2023-01-11T22:12:12.8296549Z [       OK ] ModuleTest.ClonePreservesExternalReferences (0 ms)
2023-01-11T22:12:12.8297394Z [ RUN      ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules
2023-01-11T22:12:12.8298347Z [       OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms)
2023-01-11T22:12:12.8299259Z [ RUN      ] ModuleTest.HasCorrectNumberOfParameters
2023-01-11T22:12:12.8299968Z [       OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms)
2023-01-11T22:12:12.8300680Z [ RUN      ] ModuleTest.ContainsParametersWithTheCorrectName
2023-01-11T22:12:12.8301466Z [       OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms)
2023-01-11T22:12:12.8302168Z [ RUN      ] ModuleTest.HasCorrectNumberOfBuffers
2023-01-11T22:12:12.8302811Z [       OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms)
2023-01-11T22:12:12.8303484Z [ RUN      ] ModuleTest.ContainsBuffersWithTheCorrectName
2023-01-11T22:12:12.8304219Z [       OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms)
2023-01-11T22:12:12.8305160Z [ RUN      ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl
2023-01-11T22:12:12.8306263Z [       OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms)
2023-01-11T22:12:12.8307356Z [ RUN      ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl
2023-01-11T22:12:12.8308454Z [       OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms)
2023-01-11T22:12:12.8309483Z [ RUN      ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState
2023-01-11T22:12:12.8313969Z [       OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (1 ms)
2023-01-11T22:12:12.8314959Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel
2023-01-11T22:12:12.8315803Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms)
2023-01-11T22:12:12.8316632Z [ RUN      ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse
2023-01-11T22:12:12.8317467Z [       OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2023-01-11T22:12:12.8318395Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel
2023-01-11T22:12:12.8319419Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2023-01-11T22:12:12.8320367Z [ RUN      ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse
2023-01-11T22:12:12.8321427Z [       OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2023-01-11T22:12:12.8322373Z [ RUN      ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel
2023-01-11T22:12:12.8323291Z [       OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms)
2023-01-11T22:12:12.8324484Z [ RUN      ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel
2023-01-11T22:12:12.8325673Z [       OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2023-01-11T22:12:12.8326652Z [ RUN      ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel
2023-01-11T22:12:12.8327562Z [       OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms)
2023-01-11T22:12:12.8328480Z [ RUN      ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel
2023-01-11T22:12:12.8329466Z [       OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms)
2023-01-11T22:12:12.8330373Z [ RUN      ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel
2023-01-11T22:12:12.8331220Z [       OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms)
2023-01-11T22:12:12.8332105Z [ RUN      ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel
2023-01-11T22:12:12.8333032Z [       OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms)
2023-01-11T22:12:12.8333959Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel
2023-01-11T22:12:12.8334853Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms)
2023-01-11T22:12:12.8335824Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel
2023-01-11T22:12:12.8336882Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2023-01-11T22:12:12.8337856Z [ RUN      ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel
2023-01-11T22:12:12.8338805Z [       OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms)
2023-01-11T22:12:12.8339812Z [ RUN      ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel
2023-01-11T22:12:12.8340917Z [       OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2023-01-11T22:12:12.8341786Z [ RUN      ] ModuleTest.ModuleApplyIteratesCorreclty
2023-01-11T22:12:12.8342490Z [       OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms)
2023-01-11T22:12:12.8343200Z [ RUN      ] ModuleTest.ConstModuleApplyIteratesCorreclty
2023-01-11T22:12:12.8343931Z [       OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms)
2023-01-11T22:12:12.8344668Z [ RUN      ] ModuleTest.NamedModuleApplyIteratesCorreclty
2023-01-11T22:12:12.8345405Z [       OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms)
2023-01-11T22:12:12.8346171Z [ RUN      ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty
2023-01-11T22:12:12.8346961Z [       OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms)
2023-01-11T22:12:12.8347737Z [ RUN      ] ModuleTest.ModulePointerApplyIteratesCorreclty
2023-01-11T22:12:12.8348503Z [       OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms)
2023-01-11T22:12:12.8349279Z [ RUN      ] ModuleTest.NamedModulePointerApplyIteratesCorreclty
2023-01-11T22:12:12.8350109Z [       OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms)
2023-01-11T22:12:12.8350996Z [ RUN      ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr
2023-01-11T22:12:12.8357642Z [       OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (3 ms)
2023-01-11T22:12:12.8358243Z [ RUN      ] ModuleTest.PrettyPrint
2023-01-11T22:12:12.8358554Z [       OK ] ModuleTest.PrettyPrint (0 ms)
2023-01-11T22:12:12.8359075Z [ RUN      ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl
2023-01-11T22:12:12.8359569Z [       OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms)
2023-01-11T22:12:12.8359962Z [----------] 52 tests from ModuleTest (29 ms total)
2023-01-11T22:12:12.8360113Z 
2023-01-11T22:12:12.8360264Z [----------] 11 tests from ModuleDictTest
2023-01-11T22:12:12.8360618Z [ RUN      ] ModuleDictTest.ConstructsFromList
2023-01-11T22:12:12.8360950Z [       OK ] ModuleDictTest.ConstructsFromList (0 ms)
2023-01-11T22:12:12.8361308Z [ RUN      ] ModuleDictTest.ConstructsFromordereddict
2023-01-11T22:12:12.8361689Z [       OK ] ModuleDictTest.ConstructsFromordereddict (0 ms)
2023-01-11T22:12:12.8362045Z [ RUN      ] ModuleDictTest.UpdatePopClearContains
2023-01-11T22:12:12.8370922Z [       OK ] ModuleDictTest.UpdatePopClearContains (1 ms)
2023-01-11T22:12:12.8371376Z [ RUN      ] ModuleDictTest.UpdateExist
2023-01-11T22:12:12.8371694Z [       OK ] ModuleDictTest.UpdateExist (0 ms)
2023-01-11T22:12:12.8371964Z [ RUN      ] ModuleDictTest.Keys
2023-01-11T22:12:12.8394489Z [       OK ] ModuleDictTest.Keys (2 ms)
2023-01-11T22:12:12.8394816Z [ RUN      ] ModuleDictTest.Values
2023-01-11T22:12:12.8395101Z [       OK ] ModuleDictTest.Values (0 ms)
2023-01-11T22:12:12.8395489Z [ RUN      ] ModuleDictTest.SanityCheckForHoldingStandardModules
2023-01-11T22:12:12.8405994Z [       OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (1 ms)
2023-01-11T22:12:12.8406425Z [ RUN      ] ModuleDictTest.HasReferenceSemantics
2023-01-11T22:12:12.8406789Z [       OK ] ModuleDictTest.HasReferenceSemantics (0 ms)
2023-01-11T22:12:12.8407118Z [ RUN      ] ModuleDictTest.IsCloneable
2023-01-11T22:12:12.8418386Z [       OK ] ModuleDictTest.IsCloneable (1 ms)
2023-01-11T22:12:12.8418805Z [ RUN      ] ModuleDictTest.RegistersElementsAsSubmodules
2023-01-11T22:12:12.8419943Z [       OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms)
2023-01-11T22:12:12.8420584Z [ RUN      ] ModuleDictTest.PrettyPrintModuleDict
2023-01-11T22:12:12.8421215Z [       OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms)
2023-01-11T22:12:12.8421789Z [----------] 11 tests from ModuleDictTest (6 ms total)
2023-01-11T22:12:12.8422078Z 
2023-01-11T22:12:12.8422349Z [----------] 15 tests from ModuleListTest
2023-01-11T22:12:12.8422966Z [ RUN      ] ModuleListTest.ConstructsFromSharedPointer
2023-01-11T22:12:12.8423367Z [       OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms)
2023-01-11T22:12:12.8423744Z [ RUN      ] ModuleListTest.ConstructsFromConcreteType
2023-01-11T22:12:12.8424132Z [       OK ] ModuleListTest.ConstructsFromConcreteType (0 ms)
2023-01-11T22:12:12.8424513Z [ RUN      ] ModuleListTest.ConstructsFromModuleHolder
2023-01-11T22:12:12.8424889Z [       OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms)
2023-01-11T22:12:12.8425258Z [ RUN      ] ModuleListTest.PushBackAddsAnElement
2023-01-11T22:12:12.8425624Z [       OK ] ModuleListTest.PushBackAddsAnElement (0 ms)
2023-01-11T22:12:12.8425942Z [ RUN      ] ModuleListTest.Insertion
2023-01-11T22:12:12.8426225Z [       OK ] ModuleListTest.Insertion (0 ms)
2023-01-11T22:12:12.8426527Z [ RUN      ] ModuleListTest.AccessWithAt
2023-01-11T22:12:12.8446282Z [       OK ] ModuleListTest.AccessWithAt (2 ms)
2023-01-11T22:12:12.8446730Z [ RUN      ] ModuleListTest.AccessWithPtr
2023-01-11T22:12:12.8468206Z [       OK ] ModuleListTest.AccessWithPtr (2 ms)
2023-01-11T22:12:12.8468831Z [ RUN      ] ModuleListTest.SanityCheckForHoldingStandardModules
2023-01-11T22:12:12.8469604Z [       OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms)
2023-01-11T22:12:12.8470629Z [ RUN      ] ModuleListTest.ExtendPushesModulesFromOtherModuleList
2023-01-11T22:12:12.8471198Z [       OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms)
2023-01-11T22:12:12.8471603Z [ RUN      ] ModuleListTest.HasReferenceSemantics
2023-01-11T22:12:12.8471950Z [       OK ] ModuleListTest.HasReferenceSemantics (0 ms)
2023-01-11T22:12:12.8472273Z [ RUN      ] ModuleListTest.IsCloneable
2023-01-11T22:12:12.8474287Z [       OK ] ModuleListTest.IsCloneable (0 ms)
2023-01-11T22:12:12.8474651Z [ RUN      ] ModuleListTest.RegistersElementsAsSubmodules
2023-01-11T22:12:12.8475155Z [       OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms)
2023-01-11T22:12:12.8475524Z [ RUN      ] ModuleListTest.NestingIsPossible
2023-01-11T22:12:12.8475945Z [       OK ] ModuleListTest.NestingIsPossible (0 ms)
2023-01-11T22:12:12.8476421Z [ RUN      ] ModuleListTest.PrettyPrintModuleList
2023-01-11T22:12:12.8477180Z [       OK ] ModuleListTest.PrettyPrintModuleList (0 ms)
2023-01-11T22:12:12.8477571Z [ RUN      ] ModuleListTest.RangeBasedForLoop
2023-01-11T22:12:12.8477928Z [       OK ] ModuleListTest.RangeBasedForLoop (0 ms)
2023-01-11T22:12:12.8478275Z [----------] 15 tests from ModuleListTest (5 ms total)
2023-01-11T22:12:12.8478421Z 
2023-01-11T22:12:12.8478568Z [----------] 256 tests from ModulesTest
2023-01-11T22:12:12.8478841Z [ RUN      ] ModulesTest.Conv1d
2023-01-11T22:12:12.8500923Z [       OK ] ModulesTest.Conv1d (2 ms)
2023-01-11T22:12:12.8501333Z [ RUN      ] ModulesTest.Conv1dSameStrided
2023-01-11T22:12:12.8532423Z [       OK ] ModulesTest.Conv1dSameStrided (3 ms)
2023-01-11T22:12:12.8533004Z [ RUN      ] ModulesTest.Conv2dEven
2023-01-11T22:12:12.8537391Z [       OK ] ModulesTest.Conv2dEven (0 ms)
2023-01-11T22:12:12.8537834Z [ RUN      ] ModulesTest.Conv2dUneven
2023-01-11T22:12:12.8541854Z [       OK ] ModulesTest.Conv2dUneven (0 ms)
2023-01-11T22:12:12.8542574Z [ RUN      ] ModulesTest.Conv2dSameStrided
2023-01-11T22:12:12.8589648Z [       OK ] ModulesTest.Conv2dSameStrided (4 ms)
2023-01-11T22:12:12.8590206Z [ RUN      ] ModulesTest.Conv3d
2023-01-11T22:12:12.8594697Z [       OK ] ModulesTest.Conv3d (0 ms)
2023-01-11T22:12:12.8595257Z [ RUN      ] ModulesTest.Conv3dSameStrided
2023-01-11T22:12:12.8648378Z [       OK ] ModulesTest.Conv3dSameStrided (5 ms)
2023-01-11T22:12:12.8648995Z [ RUN      ] ModulesTest.ConvTranspose1d
2023-01-11T22:12:12.8652975Z [       OK ] ModulesTest.ConvTranspose1d (0 ms)
2023-01-11T22:12:12.8653715Z [ RUN      ] ModulesTest.ConvTranspose2dEven
2023-01-11T22:12:12.8659580Z [       OK ] ModulesTest.ConvTranspose2dEven (0 ms)
2023-01-11T22:12:12.8660174Z [ RUN      ] ModulesTest.ConvTranspose2dUneven
2023-01-11T22:12:12.8664640Z [       OK ] ModulesTest.ConvTranspose2dUneven (0 ms)
2023-01-11T22:12:12.8665291Z [ RUN      ] ModulesTest.ConvTranspose3d
2023-01-11T22:12:12.8668686Z [       OK ] ModulesTest.ConvTranspose3d (0 ms)
2023-01-11T22:12:12.8669038Z [ RUN      ] ModulesTest.MaxPool1d
2023-01-11T22:12:12.8697652Z [       OK ] ModulesTest.MaxPool1d (2 ms)
2023-01-11T22:12:12.8697974Z [ RUN      ] ModulesTest.MaxPool1dReturnIndices
2023-01-11T22:12:12.8700019Z [       OK ] ModulesTest.MaxPool1dReturnIndices (0 ms)
2023-01-11T22:12:12.8700382Z [ RUN      ] ModulesTest.MaxPool2dEven
2023-01-11T22:12:12.8702016Z [       OK ] ModulesTest.MaxPool2dEven (0 ms)
2023-01-11T22:12:12.8702359Z [ RUN      ] ModulesTest.MaxPool2dUneven
2023-01-11T22:12:12.8704232Z [       OK ] ModulesTest.MaxPool2dUneven (0 ms)
2023-01-11T22:12:12.8704562Z [ RUN      ] ModulesTest.MaxPool2dReturnIndices
2023-01-11T22:12:12.8706299Z [       OK ] ModulesTest.MaxPool2dReturnIndices (0 ms)
2023-01-11T22:12:12.8706620Z [ RUN      ] ModulesTest.MaxPool3d
2023-01-11T22:12:12.8708359Z [       OK ] ModulesTest.MaxPool3d (0 ms)
2023-01-11T22:12:12.8708666Z [ RUN      ] ModulesTest.MaxPool3dReturnIndices
2023-01-11T22:12:12.8710346Z [       OK ] ModulesTest.MaxPool3dReturnIndices (0 ms)
2023-01-11T22:12:12.8710659Z [ RUN      ] ModulesTest.AvgPool1d
2023-01-11T22:12:12.8712451Z [       OK ] ModulesTest.AvgPool1d (0 ms)
2023-01-11T22:12:12.8712780Z [ RUN      ] ModulesTest.AvgPool2dEven
2023-01-11T22:12:12.8714660Z [       OK ] ModulesTest.AvgPool2dEven (0 ms)
2023-01-11T22:12:12.8714968Z [ RUN      ] ModulesTest.AvgPool2dUneven
2023-01-11T22:12:12.8716862Z [       OK ] ModulesTest.AvgPool2dUneven (0 ms)
2023-01-11T22:12:12.8717194Z [ RUN      ] ModulesTest.AvgPool3d
2023-01-11T22:12:12.8718610Z [       OK ] ModulesTest.AvgPool3d (0 ms)
2023-01-11T22:12:12.8718975Z [ RUN      ] ModulesTest.FractionalMaxPool2d
2023-01-11T22:12:12.8721139Z [       OK ] ModulesTest.FractionalMaxPool2d (0 ms)
2023-01-11T22:12:12.8721550Z [ RUN      ] ModulesTest.FractionalMaxPool2dReturnIndices
2023-01-11T22:12:12.8723172Z [       OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms)
2023-01-11T22:12:12.8723655Z [ RUN      ] ModulesTest.FractionalMaxPool3d
2023-01-11T22:12:12.8725911Z [       OK ] ModulesTest.FractionalMaxPool3d (0 ms)
2023-01-11T22:12:12.8726288Z [ RUN      ] ModulesTest.FractionalMaxPool3dReturnIndices
2023-01-11T22:12:12.8728240Z [       OK ] ModulesTest.FractionalMaxPool3dReturnIndices (0 ms)
2023-01-11T22:12:12.8728568Z [ RUN      ] ModulesTest.LPPool1d
2023-01-11T22:12:12.8730051Z [       OK ] ModulesTest.LPPool1d (0 ms)
2023-01-11T22:12:12.8730334Z [ RUN      ] ModulesTest.LPPool2d
2023-01-11T22:12:12.8731918Z [       OK ] ModulesTest.LPPool2d (0 ms)
2023-01-11T22:12:12.8732339Z [ RUN      ] ModulesTest.Identity
2023-01-11T22:12:12.8733094Z [       OK ] ModulesTest.Identity (0 ms)
2023-01-11T22:12:12.8733399Z [ RUN      ] ModulesTest.Flatten
2023-01-11T22:12:12.8735910Z [       OK ] ModulesTest.Flatten (0 ms)
2023-01-11T22:12:12.8736333Z [ RUN      ] ModulesTest.Unflatten
2023-01-11T22:12:12.8737720Z [W TensorImpl.h:1816] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2023-01-11T22:12:12.8738568Z [       OK ] ModulesTest.Unflatten (0 ms)
2023-01-11T22:12:12.8738864Z [ RUN      ] ModulesTest.AdaptiveMaxPool1d
2023-01-11T22:12:12.8739583Z [       OK ] ModulesTest.AdaptiveMaxPool1d (0 ms)
2023-01-11T22:12:12.8740217Z [ RUN      ] ModulesTest.AdaptiveMaxPool1dReturnIndices
2023-01-11T22:12:12.8741232Z [       OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (0 ms)
2023-01-11T22:12:12.8741818Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dEven
2023-01-11T22:12:12.8743433Z [       OK ] ModulesTest.AdaptiveMaxPool2dEven (0 ms)
2023-01-11T22:12:12.8743783Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dUneven
2023-01-11T22:12:12.8745947Z [       OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms)
2023-01-11T22:12:12.8746325Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven
2023-01-11T22:12:12.8748535Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (0 ms)
2023-01-11T22:12:12.8748963Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven
2023-01-11T22:12:12.8751541Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (0 ms)
2023-01-11T22:12:12.8751925Z [ RUN      ] ModulesTest.AdaptiveMaxPool3d
2023-01-11T22:12:12.8753263Z [       OK ] ModulesTest.AdaptiveMaxPool3d (0 ms)
2023-01-11T22:12:12.8753792Z [ RUN      ] ModulesTest.AdaptiveMaxPool3dReturnIndices
2023-01-11T22:12:12.8756058Z [       OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (0 ms)
2023-01-11T22:12:12.8756517Z [ RUN      ] ModulesTest.AdaptiveAvgPool1d
2023-01-11T22:12:12.8757970Z [       OK ] ModulesTest.AdaptiveAvgPool1d (0 ms)
2023-01-11T22:12:12.8758343Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dEven
2023-01-11T22:12:12.8760436Z [       OK ] ModulesTest.AdaptiveAvgPool2dEven (0 ms)
2023-01-11T22:12:12.8760789Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dUneven
2023-01-11T22:12:12.8762447Z [       OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms)
2023-01-11T22:12:12.8762834Z [ RUN      ] ModulesTest.AdaptiveAvgPool3d
2023-01-11T22:12:12.8765241Z [       OK ] ModulesTest.AdaptiveAvgPool3d (0 ms)
2023-01-11T22:12:12.8765626Z [ RUN      ] ModulesTest.MaxUnpool1d
2023-01-11T22:12:12.8767660Z [       OK ] ModulesTest.MaxUnpool1d (0 ms)
2023-01-11T22:12:12.8768166Z [ RUN      ] ModulesTest.MaxPool1d_MaxUnpool1d
2023-01-11T22:12:12.8771203Z [       OK ] ModulesTest.MaxPool1d_MaxUnpool1d (0 ms)
2023-01-11T22:12:12.8771745Z [ RUN      ] ModulesTest.MaxUnpool2d
2023-01-11T22:12:12.8773643Z [       OK ] ModulesTest.MaxUnpool2d (0 ms)
2023-01-11T22:12:12.8774244Z [ RUN      ] ModulesTest.MaxPool2d_MaxUnpool2d
2023-01-11T22:12:12.8776574Z [       OK ] ModulesTest.MaxPool2d_MaxUnpool2d (0 ms)
2023-01-11T22:12:12.8777130Z [ RUN      ] ModulesTest.MaxUnpool3d
2023-01-11T22:12:12.8777941Z [       OK ] ModulesTest.MaxUnpool3d (0 ms)
2023-01-11T22:12:12.8778538Z [ RUN      ] ModulesTest.MaxUnpool3dOutputSize
2023-01-11T22:12:12.8780898Z [       OK ] ModulesTest.MaxUnpool3dOutputSize (0 ms)
2023-01-11T22:12:12.8781468Z [ RUN      ] ModulesTest.MaxPool3d_MaxUnpool3d
2023-01-11T22:12:12.9901312Z [       OK ] ModulesTest.MaxPool3d_MaxUnpool3d (111 ms)
2023-01-11T22:12:12.9901644Z [ RUN      ] ModulesTest.Linear
2023-01-11T22:12:12.9905519Z [       OK ] ModulesTest.Linear (0 ms)
2023-01-11T22:12:12.9906069Z [ RUN      ] ModulesTest.LocalResponseNorm
2023-01-11T22:12:12.9910761Z [       OK ] ModulesTest.LocalResponseNorm (0 ms)
2023-01-11T22:12:12.9911314Z [ RUN      ] ModulesTest.LayerNorm
2023-01-11T22:12:12.9913574Z [       OK ] ModulesTest.LayerNorm (0 ms)
2023-01-11T22:12:12.9914096Z [ RUN      ] ModulesTest.GroupNorm
2023-01-11T22:12:12.9917240Z [       OK ] ModulesTest.GroupNorm (0 ms)
2023-01-11T22:12:12.9917745Z [ RUN      ] ModulesTest.Bilinear
2023-01-11T22:12:12.9921531Z [       OK ] ModulesTest.Bilinear (0 ms)
2023-01-11T22:12:12.9921804Z [ RUN      ] ModulesTest.Fold
2023-01-11T22:12:12.9947783Z [       OK ] ModulesTest.Fold (2 ms)
2023-01-11T22:12:12.9948046Z [ RUN      ] ModulesTest.Unfold
2023-01-11T22:12:13.0015294Z [       OK ] ModulesTest.Unfold (6 ms)
2023-01-11T22:12:13.0015634Z [ RUN      ] ModulesTest.SimpleContainer
2023-01-11T22:12:13.0030420Z [       OK ] ModulesTest.SimpleContainer (1 ms)
2023-01-11T22:12:13.0030771Z [ RUN      ] ModulesTest.EmbeddingBasic
2023-01-11T22:12:13.0032230Z [       OK ] ModulesTest.EmbeddingBasic (0 ms)
2023-01-11T22:12:13.0032630Z [ RUN      ] ModulesTest.EmbeddingList
2023-01-11T22:12:13.0032936Z [       OK ] ModulesTest.EmbeddingList (0 ms)
2023-01-11T22:12:13.0033306Z [ RUN      ] ModulesTest.EmbeddingFromPretrained
2023-01-11T22:12:13.0034439Z [       OK ] ModulesTest.EmbeddingFromPretrained (0 ms)
2023-01-11T22:12:13.0034845Z [ RUN      ] ModulesTest.EmbeddingBagFromPretrained
2023-01-11T22:12:13.0036531Z [       OK ] ModulesTest.EmbeddingBagFromPretrained (0 ms)
2023-01-11T22:12:13.0037181Z [ RUN      ] ModulesTest.AlphaDropout
2023-01-11T22:12:13.0037904Z [       OK ] ModulesTest.AlphaDropout (0 ms)
2023-01-11T22:12:13.0038316Z [ RUN      ] ModulesTest.FeatureAlphaDropout
2023-01-11T22:12:13.0039243Z [       OK ] ModulesTest.FeatureAlphaDropout (0 ms)
2023-01-11T22:12:13.0039531Z [ RUN      ] ModulesTest.Dropout
2023-01-11T22:12:13.0041316Z [       OK ] ModulesTest.Dropout (0 ms)
2023-01-11T22:12:13.0041706Z [ RUN      ] ModulesTest.Dropout2d
2023-01-11T22:12:13.0047486Z [       OK ] ModulesTest.Dropout2d (0 ms)
2023-01-11T22:12:13.0048002Z [ RUN      ] ModulesTest.Dropout3d
2023-01-11T22:12:13.0054726Z [       OK ] ModulesTest.Dropout3d (0 ms)
2023-01-11T22:12:13.0055022Z [ RUN      ] ModulesTest.Parameters
2023-01-11T22:12:13.0056206Z [       OK ] ModulesTest.Parameters (0 ms)
2023-01-11T22:12:13.0056977Z [ RUN      ] ModulesTest.FunctionalCallsSuppliedFunction
2023-01-11T22:12:13.0057649Z [       OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms)
2023-01-11T22:12:13.0058328Z [ RUN      ] ModulesTest.FunctionalWithTorchFunction
2023-01-11T22:12:13.0058914Z [       OK ] ModulesTest.FunctionalWithTorchFunction (0 ms)
2023-01-11T22:12:13.0059488Z [ RUN      ] ModulesTest.FunctionalArgumentBinding
2023-01-11T22:12:13.0060054Z [       OK ] ModulesTest.FunctionalArgumentBinding (0 ms)
2023-01-11T22:12:13.0060625Z [ RUN      ] ModulesTest.BatchNorm1dStateful
2023-01-11T22:12:13.0061126Z [       OK ] ModulesTest.BatchNorm1dStateful (0 ms)
2023-01-11T22:12:13.0061544Z [ RUN      ] ModulesTest.BatchNorm1dStateless
2023-01-11T22:12:13.0061880Z [       OK ] ModulesTest.BatchNorm1dStateless (0 ms)
2023-01-11T22:12:13.0062182Z [ RUN      ] ModulesTest.BatchNorm1d
2023-01-11T22:12:13.0062550Z [       OK ] ModulesTest.BatchNorm1d (0 ms)
2023-01-11T22:12:13.0063067Z [ RUN      ] ModulesTest.BatchNorm2dStateful
2023-01-11T22:12:13.0063633Z [       OK ] ModulesTest.BatchNorm2dStateful (0 ms)
2023-01-11T22:12:13.0064137Z [ RUN      ] ModulesTest.BatchNorm2dStateless
2023-01-11T22:12:13.0064669Z [       OK ] ModulesTest.BatchNorm2dStateless (0 ms)
2023-01-11T22:12:13.0065182Z [ RUN      ] ModulesTest.BatchNorm2d
2023-01-11T22:12:13.0067336Z [       OK ] ModulesTest.BatchNorm2d (0 ms)
2023-01-11T22:12:13.0067782Z [ RUN      ] ModulesTest.BatchNorm3dStateful
2023-01-11T22:12:13.0068120Z [       OK ] ModulesTest.BatchNorm3dStateful (0 ms)
2023-01-11T22:12:13.0068559Z [ RUN      ] ModulesTest.BatchNorm3dStateless
2023-01-11T22:12:13.0069113Z [       OK ] ModulesTest.BatchNorm3dStateless (0 ms)
2023-01-11T22:12:13.0069632Z [ RUN      ] ModulesTest.BatchNorm3d
2023-01-11T22:12:13.0074310Z [       OK ] ModulesTest.BatchNorm3d (0 ms)
2023-01-11T22:12:13.0074677Z [ RUN      ] ModulesTest.InstanceNorm1dStateful
2023-01-11T22:12:13.0075016Z [       OK ] ModulesTest.InstanceNorm1dStateful (0 ms)
2023-01-11T22:12:13.0075508Z [ RUN      ] ModulesTest.InstanceNorm1dStateless
2023-01-11T22:12:13.0075861Z [       OK ] ModulesTest.InstanceNorm1dStateless (0 ms)
2023-01-11T22:12:13.0076169Z [ RUN      ] ModulesTest.InstanceNorm1d
2023-01-11T22:12:13.0078292Z [       OK ] ModulesTest.InstanceNorm1d (0 ms)
2023-01-11T22:12:13.0078880Z [ RUN      ] ModulesTest.InstanceNorm2dStateful
2023-01-11T22:12:13.0079372Z [       OK ] ModulesTest.InstanceNorm2dStateful (0 ms)
2023-01-11T22:12:13.0079721Z [ RUN      ] ModulesTest.InstanceNorm2dStateless
2023-01-11T22:12:13.0080072Z [       OK ] ModulesTest.InstanceNorm2dStateless (0 ms)
2023-01-11T22:12:13.0080393Z [ RUN      ] ModulesTest.InstanceNorm2d
2023-01-11T22:12:13.0082848Z [       OK ] ModulesTest.InstanceNorm2d (0 ms)
2023-01-11T22:12:13.0083818Z [ RUN      ] ModulesTest.InstanceNorm3dStateful
2023-01-11T22:12:13.0084294Z [       OK ] ModulesTest.InstanceNorm3dStateful (0 ms)
2023-01-11T22:12:13.0084627Z [ RUN      ] ModulesTest.InstanceNorm3dStateless
2023-01-11T22:12:13.0084974Z [       OK ] ModulesTest.InstanceNorm3dStateless (0 ms)
2023-01-11T22:12:13.0085290Z [ RUN      ] ModulesTest.InstanceNorm3d
2023-01-11T22:12:13.0088065Z [       OK ] ModulesTest.InstanceNorm3d (0 ms)
2023-01-11T22:12:13.0088340Z [ RUN      ] ModulesTest.L1Loss
2023-01-11T22:12:13.0089734Z [       OK ] ModulesTest.L1Loss (0 ms)
2023-01-11T22:12:13.0090228Z [ RUN      ] ModulesTest.MSELoss
2023-01-11T22:12:13.0090910Z [       OK ] ModulesTest.MSELoss (0 ms)
2023-01-11T22:12:13.0091405Z [ RUN      ] ModulesTest.BCELoss
2023-01-11T22:12:13.0092078Z [       OK ] ModulesTest.BCELoss (0 ms)
2023-01-11T22:12:13.0092566Z [ RUN      ] ModulesTest.KLDivLoss
2023-01-11T22:12:13.0093326Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2023-01-11T22:12:13.0094251Z [       OK ] ModulesTest.KLDivLoss (0 ms)
2023-01-11T22:12:13.0094564Z [ RUN      ] ModulesTest.HingeEmbeddingLoss
2023-01-11T22:12:13.0096170Z [       OK ] ModulesTest.HingeEmbeddingLoss (0 ms)
2023-01-11T22:12:13.0096729Z [ RUN      ] ModulesTest.MultiMarginLoss
2023-01-11T22:12:13.0097681Z [       OK ] ModulesTest.MultiMarginLoss (0 ms)
2023-01-11T22:12:13.0098260Z [ RUN      ] ModulesTest.CosineEmbeddingLoss
2023-01-11T22:12:13.0102063Z [       OK ] ModulesTest.CosineEmbeddingLoss (0 ms)
2023-01-11T22:12:13.0102668Z [ RUN      ] ModulesTest.SmoothL1LossDefaultOptions
2023-01-11T22:12:13.0103704Z [       OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms)
2023-01-11T22:12:13.0104294Z [ RUN      ] ModulesTest.HuberLossDefaultOptions
2023-01-11T22:12:13.0105303Z [       OK ] ModulesTest.HuberLossDefaultOptions (0 ms)
2023-01-11T22:12:13.0105933Z [ RUN      ] ModulesTest.MultiLabelMarginLossDefaultOptions
2023-01-11T22:12:13.0106922Z [       OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms)
2023-01-11T22:12:13.0107500Z [ RUN      ] ModulesTest.SmoothL1LossNoReduction
2023-01-11T22:12:13.0108139Z [       OK ] ModulesTest.SmoothL1LossNoReduction (0 ms)
2023-01-11T22:12:13.0108728Z [ RUN      ] ModulesTest.HuberLossNoReduction
2023-01-11T22:12:13.0109427Z [       OK ] ModulesTest.HuberLossNoReduction (0 ms)
2023-01-11T22:12:13.0110076Z [ RUN      ] ModulesTest.MultiLabelMarginLossNoReduction
2023-01-11T22:12:13.0110947Z [       OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms)
2023-01-11T22:12:13.0111548Z [ RUN      ] ModulesTest.SmoothL1LossBeta
2023-01-11T22:12:13.0112175Z [       OK ] ModulesTest.SmoothL1LossBeta (0 ms)
2023-01-11T22:12:13.0112735Z [ RUN      ] ModulesTest.HuberLossDelta
2023-01-11T22:12:13.0113486Z [       OK ] ModulesTest.HuberLossDelta (0 ms)
2023-01-11T22:12:13.0114063Z [ RUN      ] ModulesTest.TripletMarginLoss
2023-01-11T22:12:13.0116580Z [       OK ] ModulesTest.TripletMarginLoss (0 ms)
2023-01-11T22:12:13.0117294Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossDefaultParity
2023-01-11T22:12:13.0273515Z [       OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (15 ms)
2023-01-11T22:12:13.0274224Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity
2023-01-11T22:12:13.0551299Z [       OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (27 ms)
2023-01-11T22:12:13.0551850Z [ RUN      ] ModulesTest.NLLLoss
2023-01-11T22:12:13.0553013Z [       OK ] ModulesTest.NLLLoss (0 ms)
2023-01-11T22:12:13.0553303Z [ RUN      ] ModulesTest.CrossEntropyLoss
2023-01-11T22:12:13.0560336Z [       OK ] ModulesTest.CrossEntropyLoss (0 ms)
2023-01-11T22:12:13.0560668Z [ RUN      ] ModulesTest.CosineSimilarity
2023-01-11T22:12:13.0563695Z [       OK ] ModulesTest.CosineSimilarity (0 ms)
2023-01-11T22:12:13.0564130Z [ RUN      ] ModulesTest.SoftMarginLossDefaultOptions
2023-01-11T22:12:13.0566004Z [       OK ] ModulesTest.SoftMarginLossDefaultOptions (0 ms)
2023-01-11T22:12:13.0566420Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions
2023-01-11T22:12:13.0569317Z [       OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (0 ms)
2023-01-11T22:12:13.0569868Z [ RUN      ] ModulesTest.SoftMarginLossNoReduction
2023-01-11T22:12:13.0571293Z [       OK ] ModulesTest.SoftMarginLossNoReduction (0 ms)
2023-01-11T22:12:13.0571793Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction
2023-01-11T22:12:13.0574770Z [       OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms)
2023-01-11T22:12:13.0575369Z [ RUN      ] ModulesTest.PairwiseDistance
2023-01-11T22:12:13.0576564Z [       OK ] ModulesTest.PairwiseDistance (0 ms)
2023-01-11T22:12:13.0577095Z [ RUN      ] ModulesTest.ELU
2023-01-11T22:12:13.0587291Z [       OK ] ModulesTest.ELU (1 ms)
2023-01-11T22:12:13.0587776Z [ RUN      ] ModulesTest.SELU
2023-01-11T22:12:13.0590326Z [       OK ] ModulesTest.SELU (0 ms)
2023-01-11T22:12:13.0590808Z [ RUN      ] ModulesTest.Hardshrink
2023-01-11T22:12:13.0597567Z [       OK ] ModulesTest.Hardshrink (0 ms)
2023-01-11T22:12:13.0598081Z [ RUN      ] ModulesTest.Hardtanh
2023-01-11T22:12:13.0621662Z [       OK ] ModulesTest.Hardtanh (2 ms)
2023-01-11T22:12:13.0622252Z [ RUN      ] ModulesTest.HardtanhMinValGEMaxVal
2023-01-11T22:12:13.0698834Z [       OK ] ModulesTest.HardtanhMinValGEMaxVal (7 ms)
2023-01-11T22:12:13.0699380Z [ RUN      ] ModulesTest.LeakyReLU
2023-01-11T22:12:13.0710056Z [       OK ] ModulesTest.LeakyReLU (1 ms)
2023-01-11T22:12:13.0710587Z [ RUN      ] ModulesTest.LogSigmoid
2023-01-11T22:12:13.0711956Z [       OK ] ModulesTest.LogSigmoid (0 ms)
2023-01-11T22:12:13.0712456Z [ RUN      ] ModulesTest.Softmax
2023-01-11T22:12:13.0713561Z [       OK ] ModulesTest.Softmax (0 ms)
2023-01-11T22:12:13.0714096Z [ RUN      ] ModulesTest.Softmin
2023-01-11T22:12:13.0715156Z [       OK ] ModulesTest.Softmin (0 ms)
2023-01-11T22:12:13.0715656Z [ RUN      ] ModulesTest.LogSoftmax
2023-01-11T22:12:13.0716753Z [       OK ] ModulesTest.LogSoftmax (0 ms)
2023-01-11T22:12:13.0717363Z [ RUN      ] ModulesTest.AdaptiveLogSoftmaxWithLoss
2023-01-11T22:12:13.0742258Z [       OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (2 ms)
2023-01-11T22:12:13.0742815Z [ RUN      ] ModulesTest.Softmax2d
2023-01-11T22:12:13.0752748Z [       OK ] ModulesTest.Softmax2d (1 ms)
2023-01-11T22:12:13.0753255Z [ RUN      ] ModulesTest.PReLU
2023-01-11T22:12:13.0757244Z [       OK ] ModulesTest.PReLU (0 ms)
2023-01-11T22:12:13.0757754Z [ RUN      ] ModulesTest.ReLU
2023-01-11T22:12:13.0760101Z [       OK ] ModulesTest.ReLU (0 ms)
2023-01-11T22:12:13.0760576Z [ RUN      ] ModulesTest.ReLU6
2023-01-11T22:12:13.0762910Z [       OK ] ModulesTest.ReLU6 (0 ms)
2023-01-11T22:12:13.0763529Z [ RUN      ] ModulesTest.RReLU
2023-01-11T22:12:13.0798324Z [       OK ] ModulesTest.RReLU (3 ms)
2023-01-11T22:12:13.0798799Z [ RUN      ] ModulesTest.CELU
2023-01-11T22:12:13.0809439Z [       OK ] ModulesTest.CELU (1 ms)
2023-01-11T22:12:13.0809913Z [ RUN      ] ModulesTest.GLU
2023-01-11T22:12:13.0812096Z [       OK ] ModulesTest.GLU (0 ms)
2023-01-11T22:12:13.0812570Z [ RUN      ] ModulesTest.GELU
2023-01-11T22:12:13.0813464Z [       OK ] ModulesTest.GELU (0 ms)
2023-01-11T22:12:13.0813949Z [ RUN      ] ModulesTest.TanhGELU
2023-01-11T22:12:13.0814955Z [       OK ] ModulesTest.TanhGELU (0 ms)
2023-01-11T22:12:13.0815548Z [ RUN      ] ModulesTest.Mish
2023-01-11T22:12:13.0816076Z [       OK ] ModulesTest.Mish (0 ms)
2023-01-11T22:12:13.0816327Z [ RUN      ] ModulesTest.Sigmoid
2023-01-11T22:12:13.0817613Z [       OK ] ModulesTest.Sigmoid (0 ms)
2023-01-11T22:12:13.0817935Z [ RUN      ] ModulesTest.PixelShuffle
2023-01-11T22:12:13.0819749Z [       OK ] ModulesTest.PixelShuffle (0 ms)
2023-01-11T22:12:13.0820058Z [ RUN      ] ModulesTest.PixelUnshuffle
2023-01-11T22:12:13.0821750Z [       OK ] ModulesTest.PixelUnshuffle (0 ms)
2023-01-11T22:12:13.0822055Z [ RUN      ] ModulesTest.Softplus
2023-01-11T22:12:13.0828461Z [       OK ] ModulesTest.Softplus (0 ms)
2023-01-11T22:12:13.0828747Z [ RUN      ] ModulesTest.Softshrink
2023-01-11T22:12:13.0834481Z [       OK ] ModulesTest.Softshrink (0 ms)
2023-01-11T22:12:13.0834923Z [ RUN      ] ModulesTest.Softsign
2023-01-11T22:12:13.0835738Z [       OK ] ModulesTest.Softsign (0 ms)
2023-01-11T22:12:13.0836132Z [ RUN      ] ModulesTest.Tanh
2023-01-11T22:12:13.0836413Z [       OK ] ModulesTest.Tanh (0 ms)
2023-01-11T22:12:13.0836834Z [ RUN      ] ModulesTest.Tanhshrink
2023-01-11T22:12:13.0837385Z [       OK ] ModulesTest.Tanhshrink (0 ms)
2023-01-11T22:12:13.0837742Z [ RUN      ] ModulesTest.Threshold
2023-01-11T22:12:13.0849044Z [       OK ] ModulesTest.Threshold (1 ms)
2023-01-11T22:12:13.0849446Z [ RUN      ] ModulesTest.Upsampling1D
2023-01-11T22:12:13.0858803Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0860594Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0862117Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0863546Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0865368Z [       OK ] ModulesTest.Upsampling1D (1 ms)
2023-01-11T22:12:13.0865717Z [ RUN      ] ModulesTest.Upsampling2D
2023-01-11T22:12:13.0867263Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0868341Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0870730Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0871635Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0873214Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0874671Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0877217Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0878822Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0880873Z [       OK ] ModulesTest.Upsampling2D (1 ms)
2023-01-11T22:12:13.0881394Z [ RUN      ] ModulesTest.Upsampling3D
2023-01-11T22:12:13.0883803Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0885315Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0887918Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0888988Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2023-01-11T22:12:13.0891248Z [       OK ] ModulesTest.Upsampling3D (1 ms)
2023-01-11T22:12:13.0891593Z [ RUN      ] ModulesTest.CTCLoss
2023-01-11T22:12:13.0893910Z [       OK ] ModulesTest.CTCLoss (0 ms)
2023-01-11T22:12:13.0894296Z [ RUN      ] ModulesTest.PoissonNLLLoss
2023-01-11T22:12:13.0896122Z [       OK ] ModulesTest.PoissonNLLLoss (0 ms)
2023-01-11T22:12:13.0896496Z [ RUN      ] ModulesTest.MarginRankingLoss
2023-01-11T22:12:13.0899296Z [       OK ] ModulesTest.MarginRankingLoss (0 ms)
2023-01-11T22:12:13.0899707Z [ RUN      ] ModulesTest.BCEWithLogitsLoss
2023-01-11T22:12:13.0958679Z [       OK ] ModulesTest.BCEWithLogitsLoss (5 ms)
2023-01-11T22:12:13.0959083Z [ RUN      ] ModulesTest.MultiheadAttention
2023-01-11T22:12:22.2562094Z [       OK ] ModulesTest.MultiheadAttention (9160 ms)
2023-01-11T22:12:22.2562772Z [ RUN      ] ModulesTest.PrettyPrintIdentity
2023-01-11T22:12:22.2563530Z [       OK ] ModulesTest.PrettyPrintIdentity (0 ms)
2023-01-11T22:12:22.2564044Z [ RUN      ] ModulesTest.PrettyPrintFlatten
2023-01-11T22:12:22.2564424Z [       OK ] ModulesTest.PrettyPrintFlatten (0 ms)
2023-01-11T22:12:22.2564893Z [ RUN      ] ModulesTest.PrettyPrintUnflatten
2023-01-11T22:12:22.2565227Z [       OK ] ModulesTest.PrettyPrintUnflatten (0 ms)
2023-01-11T22:12:22.2565545Z [ RUN      ] ModulesTest.ReflectionPad1d
2023-01-11T22:12:22.2565878Z [       OK ] ModulesTest.ReflectionPad1d (0 ms)
2023-01-11T22:12:22.2566239Z [ RUN      ] ModulesTest.ReflectionPad2d
2023-01-11T22:12:22.2566780Z [       OK ] ModulesTest.ReflectionPad2d (0 ms)
2023-01-11T22:12:22.2567087Z [ RUN      ] ModulesTest.ReflectionPad3d
2023-01-11T22:12:22.2569545Z [       OK ] ModulesTest.ReflectionPad3d (0 ms)
2023-01-11T22:12:22.2569893Z [ RUN      ] ModulesTest.ReplicationPad1d
2023-01-11T22:12:22.2572206Z [       OK ] ModulesTest.ReplicationPad1d (0 ms)
2023-01-11T22:12:22.2572585Z [ RUN      ] ModulesTest.ReplicationPad2d
2023-01-11T22:12:22.2574119Z [       OK ] ModulesTest.ReplicationPad2d (0 ms)
2023-01-11T22:12:22.2574687Z [ RUN      ] ModulesTest.ReplicationPad3d
2023-01-11T22:12:22.2577260Z [       OK ] ModulesTest.ReplicationPad3d (0 ms)
2023-01-11T22:12:22.2577790Z [ RUN      ] ModulesTest.ZeroPad2d
2023-01-11T22:12:22.2579283Z [       OK ] ModulesTest.ZeroPad2d (0 ms)
2023-01-11T22:12:22.2579826Z [ RUN      ] ModulesTest.ConstantPad1d
2023-01-11T22:12:22.2580872Z [       OK ] ModulesTest.ConstantPad1d (0 ms)
2023-01-11T22:12:22.2581415Z [ RUN      ] ModulesTest.ConstantPad2d
2023-01-11T22:12:22.2582566Z [       OK ] ModulesTest.ConstantPad2d (0 ms)
2023-01-11T22:12:22.2583122Z [ RUN      ] ModulesTest.ConstantPad3d
2023-01-11T22:12:22.2586406Z [       OK ] ModulesTest.ConstantPad3d (0 ms)
2023-01-11T22:12:22.2587156Z [ RUN      ] ModulesTest.CrossMapLRN2d
2023-01-11T22:12:22.2592605Z [       OK ] ModulesTest.CrossMapLRN2d (0 ms)
2023-01-11T22:12:22.2593121Z [ RUN      ] ModulesTest.RNNCell
2023-01-11T22:12:22.2595512Z [       OK ] ModulesTest.RNNCell (0 ms)
2023-01-11T22:12:22.2596032Z [ RUN      ] ModulesTest.LSTMCell
2023-01-11T22:12:22.2599909Z [       OK ] ModulesTest.LSTMCell (0 ms)
2023-01-11T22:12:22.2600533Z [ RUN      ] ModulesTest.GRUCell
2023-01-11T22:12:22.2603712Z [       OK ] ModulesTest.GRUCell (0 ms)
2023-01-11T22:12:22.2604269Z [ RUN      ] ModulesTest.PrettyPrintLinear
2023-01-11T22:12:22.2604765Z [       OK ] ModulesTest.PrettyPrintLinear (0 ms)
2023-01-11T22:12:22.2605081Z [ RUN      ] ModulesTest.PrettyPrintBilinear
2023-01-11T22:12:22.2605473Z [       OK ] ModulesTest.PrettyPrintBilinear (0 ms)
2023-01-11T22:12:22.2605838Z [ RUN      ] ModulesTest.PrettyPrintConv
2023-01-11T22:12:22.2606404Z [       OK ] ModulesTest.PrettyPrintConv (0 ms)
2023-01-11T22:12:22.2607006Z [ RUN      ] ModulesTest.PrettyPrintConvTranspose
2023-01-11T22:12:22.2607788Z [       OK ] ModulesTest.PrettyPrintConvTranspose (0 ms)
2023-01-11T22:12:22.2608294Z [ RUN      ] ModulesTest.PrettyPrintUpsample
2023-01-11T22:12:22.2608863Z [       OK ] ModulesTest.PrettyPrintUpsample (0 ms)
2023-01-11T22:12:22.2609408Z [ RUN      ] ModulesTest.PrettyPrintFold
2023-01-11T22:12:22.2609945Z [       OK ] ModulesTest.PrettyPrintFold (0 ms)
2023-01-11T22:12:22.2610380Z [ RUN      ] ModulesTest.PrettyPrintUnfold
2023-01-11T22:12:22.2610881Z [       OK ] ModulesTest.PrettyPrintUnfold (0 ms)
2023-01-11T22:12:22.2611349Z [ RUN      ] ModulesTest.PrettyPrintMaxPool
2023-01-11T22:12:22.2611825Z [       OK ] ModulesTest.PrettyPrintMaxPool (0 ms)
2023-01-11T22:12:22.2612294Z [ RUN      ] ModulesTest.PrettyPrintAvgPool
2023-01-11T22:12:22.2612860Z [       OK ] ModulesTest.PrettyPrintAvgPool (0 ms)
2023-01-11T22:12:22.2613328Z [ RUN      ] ModulesTest.PrettyPrinFractionalMaxPool
2023-01-11T22:12:22.2613863Z [       OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms)
2023-01-11T22:12:22.2614458Z [ RUN      ] ModulesTest.PrettyPrintLPPool
2023-01-11T22:12:22.2615010Z [       OK ] ModulesTest.PrettyPrintLPPool (0 ms)
2023-01-11T22:12:22.2615574Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveMaxPool
2023-01-11T22:12:22.2616210Z [       OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms)
2023-01-11T22:12:22.2616863Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveAvgPool
2023-01-11T22:12:22.2617559Z [       OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms)
2023-01-11T22:12:22.2618120Z [ RUN      ] ModulesTest.PrettyPrintMaxUnpool
2023-01-11T22:12:22.2618675Z [       OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms)
2023-01-11T22:12:22.2619124Z [ RUN      ] ModulesTest.PrettyPrintDropout
2023-01-11T22:12:22.2619618Z [       OK ] ModulesTest.PrettyPrintDropout (0 ms)
2023-01-11T22:12:22.2620101Z [ RUN      ] ModulesTest.PrettyPrintDropout2d
2023-01-11T22:12:22.2620664Z [       OK ] ModulesTest.PrettyPrintDropout2d (0 ms)
2023-01-11T22:12:22.2621233Z [ RUN      ] ModulesTest.PrettyPrintDropout3d
2023-01-11T22:12:22.2621821Z [       OK ] ModulesTest.PrettyPrintDropout3d (0 ms)
2023-01-11T22:12:22.2622448Z [ RUN      ] ModulesTest.PrettyPrintFunctional
2023-01-11T22:12:22.2622903Z [       OK ] ModulesTest.PrettyPrintFunctional (0 ms)
2023-01-11T22:12:22.2623444Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm1d
2023-01-11T22:12:22.2624061Z [       OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms)
2023-01-11T22:12:22.2624625Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm2d
2023-01-11T22:12:22.2625190Z [       OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms)
2023-01-11T22:12:22.2625743Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm3d
2023-01-11T22:12:22.2626191Z [       OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms)
2023-01-11T22:12:22.2626696Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm1d
2023-01-11T22:12:22.2627228Z [       OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms)
2023-01-11T22:12:22.2627787Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm2d
2023-01-11T22:12:22.2628357Z [       OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms)
2023-01-11T22:12:22.2628870Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm3d
2023-01-11T22:12:22.2629447Z [       OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms)
2023-01-11T22:12:22.2629875Z [ RUN      ] ModulesTest.PrettyPrintLayerNorm
2023-01-11T22:12:22.2630269Z [       OK ] ModulesTest.PrettyPrintLayerNorm (0 ms)
2023-01-11T22:12:22.2630609Z [ RUN      ] ModulesTest.PrettyPrintGroupNorm
2023-01-11T22:12:22.2630936Z [       OK ] ModulesTest.PrettyPrintGroupNorm (0 ms)
2023-01-11T22:12:22.2631351Z [ RUN      ] ModulesTest.PrettyPrintLocalResponseNorm
2023-01-11T22:12:22.2631740Z [       OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms)
2023-01-11T22:12:22.2632080Z [ RUN      ] ModulesTest.PrettyPrintEmbedding
2023-01-11T22:12:22.2632418Z [       OK ] ModulesTest.PrettyPrintEmbedding (0 ms)
2023-01-11T22:12:22.2632758Z [ RUN      ] ModulesTest.PrettyPrintEmbeddingBag
2023-01-11T22:12:22.2633097Z [       OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms)
2023-01-11T22:12:22.2633429Z [ RUN      ] ModulesTest.PrettyPrintL1Loss
2023-01-11T22:12:22.2633751Z [       OK ] ModulesTest.PrettyPrintL1Loss (0 ms)
2023-01-11T22:12:22.2634077Z [ RUN      ] ModulesTest.PrettyPrintKLDivLoss
2023-01-11T22:12:22.2634470Z [       OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms)
2023-01-11T22:12:22.2634801Z [ RUN      ] ModulesTest.PrettyPrintMSELoss
2023-01-11T22:12:22.2635129Z [       OK ] ModulesTest.PrettyPrintMSELoss (0 ms)
2023-01-11T22:12:22.2635439Z [ RUN      ] ModulesTest.PrettyPrintBCELoss
2023-01-11T22:12:22.2635769Z [       OK ] ModulesTest.PrettyPrintBCELoss (0 ms)
2023-01-11T22:12:22.2636124Z [ RUN      ] ModulesTest.PrettyPrintHingeEmbeddingLoss
2023-01-11T22:12:22.2636506Z [       OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms)
2023-01-11T22:12:22.2636895Z [ RUN      ] ModulesTest.PrettyPrintCosineEmbeddingLoss
2023-01-11T22:12:22.2637288Z [       OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms)
2023-01-11T22:12:22.2637675Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginLoss
2023-01-11T22:12:22.2638045Z [       OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms)
2023-01-11T22:12:22.2638466Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss
2023-01-11T22:12:22.2638929Z [       OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms)
2023-01-11T22:12:22.2639299Z [ RUN      ] ModulesTest.PrettyPrintNLLLoss
2023-01-11T22:12:22.2639626Z [       OK ] ModulesTest.PrettyPrintNLLLoss (0 ms)
2023-01-11T22:12:22.2639973Z [ RUN      ] ModulesTest.PrettyPrinCrossEntropyLoss
2023-01-11T22:12:22.2640333Z [       OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms)
2023-01-11T22:12:22.2640721Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelMarginLoss
2023-01-11T22:12:22.2641120Z [       OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms)
2023-01-11T22:12:22.2641531Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss
2023-01-11T22:12:22.2642000Z [       OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms)
2023-01-11T22:12:22.2642394Z [ RUN      ] ModulesTest.PrettyPrintSoftMarginLoss
2023-01-11T22:12:22.2642897Z [       OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms)
2023-01-11T22:12:22.2643338Z [ RUN      ] ModulesTest.PrettyPrintCosineSimilarity
2023-01-11T22:12:22.2643812Z [       OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms)
2023-01-11T22:12:22.2644188Z [ RUN      ] ModulesTest.PrettyPrintPairwiseDistance
2023-01-11T22:12:22.2644565Z [       OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms)
2023-01-11T22:12:22.2644994Z [ RUN      ] ModulesTest.PrettyPrintReflectionPad
2023-01-11T22:12:22.2645354Z [       OK ] ModulesTest.PrettyPrintReflectionPad (0 ms)
2023-01-11T22:12:22.2645715Z [ RUN      ] ModulesTest.PrettyPrintReplicationPad
2023-01-11T22:12:22.2646072Z [       OK ] ModulesTest.PrettyPrintReplicationPad (0 ms)
2023-01-11T22:12:22.2646419Z [ RUN      ] ModulesTest.PrettyPrintZeroPad2d
2023-01-11T22:12:22.2646758Z [       OK ] ModulesTest.PrettyPrintZeroPad2d (0 ms)
2023-01-11T22:12:22.2647091Z [ RUN      ] ModulesTest.PrettyPrintConstantPad
2023-01-11T22:12:22.2647441Z [       OK ] ModulesTest.PrettyPrintConstantPad (0 ms)
2023-01-11T22:12:22.2647784Z [ RUN      ] ModulesTest.PrettyPrintNestedModel
2023-01-11T22:12:22.2648132Z [       OK ] ModulesTest.PrettyPrintNestedModel (0 ms)
2023-01-11T22:12:22.2648440Z [ RUN      ] ModulesTest.PrettyPrintELU
2023-01-11T22:12:22.2648752Z [       OK ] ModulesTest.PrettyPrintELU (0 ms)
2023-01-11T22:12:22.2649057Z [ RUN      ] ModulesTest.PrettyPrintSELU
2023-01-11T22:12:22.2649360Z [       OK ] ModulesTest.PrettyPrintSELU (0 ms)
2023-01-11T22:12:22.2649661Z [ RUN      ] ModulesTest.PrettyPrintGLU
2023-01-11T22:12:22.2649970Z [       OK ] ModulesTest.PrettyPrintGLU (0 ms)
2023-01-11T22:12:22.2650279Z [ RUN      ] ModulesTest.PrettyPrintHardshrink
2023-01-11T22:12:22.2650620Z [       OK ] ModulesTest.PrettyPrintHardshrink (0 ms)
2023-01-11T22:12:22.2650955Z [ RUN      ] ModulesTest.PrettyPrintHardtanh
2023-01-11T22:12:22.2651275Z [       OK ] ModulesTest.PrettyPrintHardtanh (0 ms)
2023-01-11T22:12:22.2651603Z [ RUN      ] ModulesTest.PrettyPrintLeakyReLU
2023-01-11T22:12:22.2651941Z [       OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms)
2023-01-11T22:12:22.2652277Z [ RUN      ] ModulesTest.PrettyPrintLogSigmoid
2023-01-11T22:12:22.2652611Z [       OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms)
2023-01-11T22:12:22.2652940Z [ RUN      ] ModulesTest.PrettyPrintSoftmax
2023-01-11T22:12:22.2653268Z [       OK ] ModulesTest.PrettyPrintSoftmax (0 ms)
2023-01-11T22:12:22.2653574Z [ RUN      ] ModulesTest.PrettyPrintSoftmin
2023-01-11T22:12:22.2653900Z [       OK ] ModulesTest.PrettyPrintSoftmin (0 ms)
2023-01-11T22:12:22.2654334Z [ RUN      ] ModulesTest.PrettyPrintLogSoftmax
2023-01-11T22:12:22.2654678Z [       OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms)
2023-01-11T22:12:22.2655158Z [ RUN      ] ModulesTest.PrettyPrintSoftmax2d
2023-01-11T22:12:22.2655682Z [       OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms)
2023-01-11T22:12:22.2656183Z [ RUN      ] ModulesTest.PrettyPrintPReLU
2023-01-11T22:12:22.2656538Z [       OK ] ModulesTest.PrettyPrintPReLU (0 ms)
2023-01-11T22:12:22.2657024Z [ RUN      ] ModulesTest.PrettyPrintReLU
2023-01-11T22:12:22.2657576Z [       OK ] ModulesTest.PrettyPrintReLU (0 ms)
2023-01-11T22:12:22.2658115Z [ RUN      ] ModulesTest.PrettyPrintReLU6
2023-01-11T22:12:22.2658699Z [       OK ] ModulesTest.PrettyPrintReLU6 (0 ms)
2023-01-11T22:12:22.2659267Z [ RUN      ] ModulesTest.PrettyPrintRReLU
2023-01-11T22:12:22.2659839Z [       OK ] ModulesTest.PrettyPrintRReLU (0 ms)
2023-01-11T22:12:22.2660274Z [ RUN      ] ModulesTest.PrettyPrintCELU
2023-01-11T22:12:22.2660585Z [       OK ] ModulesTest.PrettyPrintCELU (0 ms)
2023-01-11T22:12:22.2660990Z [ RUN      ] ModulesTest.PrettyPrintSigmoid
2023-01-11T22:12:22.2661313Z [       OK ] ModulesTest.PrettyPrintSigmoid (0 ms)
2023-01-11T22:12:22.2661652Z [ RUN      ] ModulesTest.PrettyPrintPixelShuffle
2023-01-11T22:12:22.2662007Z [       OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms)
2023-01-11T22:12:22.2662351Z [ RUN      ] ModulesTest.PrettyPrintPixelUnshuffle
2023-01-11T22:12:22.2662760Z [       OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms)
2023-01-11T22:12:22.2663104Z [ RUN      ] ModulesTest.PrettyPrintSoftplus
2023-01-11T22:12:22.2663424Z [       OK ] ModulesTest.PrettyPrintSoftplus (0 ms)
2023-01-11T22:12:22.2663757Z [ RUN      ] ModulesTest.PrettyPrintSoftshrink
2023-01-11T22:12:22.2664097Z [       OK ] ModulesTest.PrettyPrintSoftshrink (0 ms)
2023-01-11T22:12:22.2664426Z [ RUN      ] ModulesTest.PrettyPrintSoftsign
2023-01-11T22:12:22.2664745Z [       OK ] ModulesTest.PrettyPrintSoftsign (0 ms)
2023-01-11T22:12:22.2665058Z [ RUN      ] ModulesTest.PrettyPrintTanh
2023-01-11T22:12:22.2665369Z [       OK ] ModulesTest.PrettyPrintTanh (0 ms)
2023-01-11T22:12:22.2665679Z [ RUN      ] ModulesTest.PrettyPrintTanhshrink
2023-01-11T22:12:22.2666019Z [       OK ] ModulesTest.PrettyPrintTanhshrink (0 ms)
2023-01-11T22:12:22.2666353Z [ RUN      ] ModulesTest.PrettyPrintThreshold
2023-01-11T22:12:22.2666676Z [       OK ] ModulesTest.PrettyPrintThreshold (0 ms)
2023-01-11T22:12:22.2667001Z [ RUN      ] ModulesTest.PrettyPrintCTCLoss
2023-01-11T22:12:22.2667326Z [       OK ] ModulesTest.PrettyPrintCTCLoss (0 ms)
2023-01-11T22:12:22.2667657Z [ RUN      ] ModulesTest.PrettyPrintPoissonNLLLoss
2023-01-11T22:12:22.2668021Z [       OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms)
2023-01-11T22:12:22.2668389Z [ RUN      ] ModulesTest.PrettyPrintMarginRankingLoss
2023-01-11T22:12:22.2668772Z [       OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms)
2023-01-11T22:12:22.2669129Z [ RUN      ] ModulesTest.PrettyPrintCrossMapLRN2d
2023-01-11T22:12:22.2669486Z [       OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms)
2023-01-11T22:12:22.2669840Z [ RUN      ] ModulesTest.PrettyPrintAlphaDropout
2023-01-11T22:12:22.2670180Z [       OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms)
2023-01-11T22:12:22.2670556Z [ RUN      ] ModulesTest.PrettyPrintFeatureAlphaDropout
2023-01-11T22:12:22.2670953Z [       OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms)
2023-01-11T22:12:22.2671339Z [ RUN      ] ModulesTest.PrettyPrintBCEWithLogitsLoss
2023-01-11T22:12:22.2671709Z [       OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms)
2023-01-11T22:12:22.2672089Z [ RUN      ] ModulesTest.PrettyPrintMultiheadAttention
2023-01-11T22:12:22.2672477Z [       OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms)
2023-01-11T22:12:22.2672817Z [ RUN      ] ModulesTest.PrettyPrintRNNCell
2023-01-11T22:12:22.2673144Z [       OK ] ModulesTest.PrettyPrintRNNCell (0 ms)
2023-01-11T22:12:22.2673466Z [ RUN      ] ModulesTest.PrettyPrintLSTMCell
2023-01-11T22:12:22.2673786Z [       OK ] ModulesTest.PrettyPrintLSTMCell (0 ms)
2023-01-11T22:12:22.2674170Z [ RUN      ] ModulesTest.PrettyPrintGRUCell
2023-01-11T22:12:22.2674509Z [       OK ] ModulesTest.PrettyPrintGRUCell (0 ms)
2023-01-11T22:12:22.2674898Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss
2023-01-11T22:12:22.2675332Z [       OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms)
2023-01-11T22:12:22.2675723Z [----------] 256 tests from ModulesTest (9415 ms total)
2023-01-11T22:12:22.2675876Z 
2023-01-11T22:12:22.2676017Z [----------] 1 test from NestedTest
2023-01-11T22:12:22.2676260Z [ RUN      ] NestedTest.Nested
2023-01-11T22:12:22.2676658Z [W NestedTensorImpl.cpp:179] Warning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (function operator())
2023-01-11T22:12:22.2677050Z [       OK ] NestedTest.Nested (0 ms)
2023-01-11T22:12:22.2677335Z [----------] 1 test from NestedTest (0 ms total)
2023-01-11T22:12:22.2677480Z 
2023-01-11T22:12:22.2677640Z [----------] 10 tests from ParameterDictTest
2023-01-11T22:12:22.2678004Z [ RUN      ] ParameterDictTest.ConstructFromTensor
2023-01-11T22:12:22.2678394Z [       OK ] ParameterDictTest.ConstructFromTensor (0 ms)
2023-01-11T22:12:22.2678756Z [ RUN      ] ParameterDictTest.ConstructFromOrderedDict
2023-01-11T22:12:22.2679152Z [       OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms)
2023-01-11T22:12:22.2679521Z [ RUN      ] ParameterDictTest.InsertAndContains
2023-01-11T22:12:22.2679873Z [       OK ] ParameterDictTest.InsertAndContains (0 ms)
2023-01-11T22:12:22.2680202Z [ RUN      ] ParameterDictTest.InsertAndClear
2023-01-11T22:12:22.2680538Z [       OK ] ParameterDictTest.InsertAndClear (0 ms)
2023-01-11T22:12:22.2680864Z [ RUN      ] ParameterDictTest.InsertAndPop
2023-01-11T22:12:22.2681183Z [       OK ] ParameterDictTest.InsertAndPop (1 ms)
2023-01-11T22:12:22.2681502Z [ RUN      ] ParameterDictTest.SimpleUpdate
2023-01-11T22:12:22.2681832Z [       OK ] ParameterDictTest.SimpleUpdate (1 ms)
2023-01-11T22:12:22.2682116Z [ RUN      ] ParameterDictTest.Keys
2023-01-11T22:12:22.2682401Z [       OK ] ParameterDictTest.Keys (0 ms)
2023-01-11T22:12:22.2682690Z [ RUN      ] ParameterDictTest.Values
2023-01-11T22:12:22.2682972Z [       OK ] ParameterDictTest.Values (0 ms)
2023-01-11T22:12:22.2683254Z [ RUN      ] ParameterDictTest.Get
2023-01-11T22:12:22.2683655Z [       OK ] ParameterDictTest.Get (0 ms)
2023-01-11T22:12:22.2683996Z [ RUN      ] ParameterDictTest.PrettyPrintParameterDict
2023-01-11T22:12:22.2684380Z [       OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms)
2023-01-11T22:12:22.2684756Z [----------] 10 tests from ParameterDictTest (2 ms total)
2023-01-11T22:12:22.2684917Z 
2023-01-11T22:12:22.2685075Z [----------] 8 tests from ParameterListTest
2023-01-11T22:12:22.2685415Z [ RUN      ] ParameterListTest.ConstructsFromSharedPointer
2023-01-11T22:12:22.2685836Z [       OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms)
2023-01-11T22:12:22.2686186Z [ RUN      ] ParameterListTest.isEmpty
2023-01-11T22:12:22.2686490Z [       OK ] ParameterListTest.isEmpty (0 ms)
2023-01-11T22:12:22.2686817Z [ RUN      ] ParameterListTest.PushBackAddsAnElement
2023-01-11T22:12:22.2687193Z [       OK ] ParameterListTest.PushBackAddsAnElement (0 ms)
2023-01-11T22:12:22.2687537Z [ RUN      ] ParameterListTest.ForEachLoop
2023-01-11T22:12:22.2687850Z [       OK ] ParameterListTest.ForEachLoop (0 ms)
2023-01-11T22:12:22.2688166Z [ RUN      ] ParameterListTest.AccessWithAt
2023-01-11T22:12:22.2693696Z [       OK ] ParameterListTest.AccessWithAt (3 ms)
2023-01-11T22:12:22.2694444Z [ RUN      ] ParameterListTest.ExtendPushesParametersFromOtherParameterList
2023-01-11T22:12:22.2695451Z [       OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms)
2023-01-11T22:12:22.2696287Z [ RUN      ] ParameterListTest.PrettyPrintParameterList
2023-01-11T22:12:22.2697040Z [       OK ] ParameterListTest.PrettyPrintParameterList (0 ms)
2023-01-11T22:12:22.2697666Z [ RUN      ] ParameterListTest.IncrementAdd
2023-01-11T22:12:22.2698012Z [       OK ] ParameterListTest.IncrementAdd (0 ms)
2023-01-11T22:12:22.2698358Z [----------] 8 tests from ParameterListTest (3 ms total)
2023-01-11T22:12:22.2698520Z 
2023-01-11T22:12:22.2698800Z [----------] 1 test from NamespaceTests
2023-01-11T22:12:22.2699231Z [ RUN      ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace
2023-01-11T22:12:22.2699762Z [       OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms)
2023-01-11T22:12:22.2700177Z [----------] 1 test from NamespaceTests (0 ms total)
2023-01-11T22:12:22.2700330Z 
2023-01-11T22:12:22.2700513Z [----------] 7 tests from NNUtilsTest
2023-01-11T22:12:22.2700790Z [ RUN      ] NNUtilsTest.ClipGradNorm
2023-01-11T22:12:22.2710081Z [       OK ] NNUtilsTest.ClipGradNorm (1 ms)
2023-01-11T22:12:22.2710471Z [ RUN      ] NNUtilsTest.ClipGradNormErrorIfNonfinite
2023-01-11T22:12:22.4465424Z [       OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (175 ms)
2023-01-11T22:12:22.4465964Z [ RUN      ] NNUtilsTest.ClipGradValue
2023-01-11T22:12:22.4466579Z [       OK ] NNUtilsTest.ClipGradValue (0 ms)
2023-01-11T22:12:22.4467154Z [ RUN      ] NNUtilsTest.ConvertParameters
2023-01-11T22:12:22.4470525Z [       OK ] NNUtilsTest.ConvertParameters (0 ms)
2023-01-11T22:12:22.4471078Z [ RUN      ] NNUtilsTest.PackSequence
2023-01-11T22:12:22.4899744Z [       OK ] NNUtilsTest.PackSequence (42 ms)
2023-01-11T22:12:22.4900156Z [ RUN      ] NNUtilsTest.PackPaddedSequence
2023-01-11T22:12:22.5059157Z [       OK ] NNUtilsTest.PackPaddedSequence (16 ms)
2023-01-11T22:12:22.5059671Z [ RUN      ] NNUtilsTest.PadSequence
2023-01-11T22:12:22.5124996Z [       OK ] NNUtilsTest.PadSequence (6 ms)
2023-01-11T22:12:22.5125609Z [----------] 7 tests from NNUtilsTest (242 ms total)
2023-01-11T22:12:22.5125767Z 
2023-01-11T22:12:22.5125941Z [----------] 3 tests from PackedSequenceTest
2023-01-11T22:12:22.5126252Z [ RUN      ] PackedSequenceTest.WrongOrder
2023-01-11T22:12:22.5164685Z [       OK ] PackedSequenceTest.WrongOrder (3 ms)
2023-01-11T22:12:22.5165020Z [ RUN      ] PackedSequenceTest.TotalLength
2023-01-11T22:12:22.5239140Z [       OK ] PackedSequenceTest.TotalLength (7 ms)
2023-01-11T22:12:22.5239487Z [ RUN      ] PackedSequenceTest.To
2023-01-11T22:12:22.5241169Z [       OK ] PackedSequenceTest.To (0 ms)
2023-01-11T22:12:22.5241586Z [----------] 3 tests from PackedSequenceTest (11 ms total)
2023-01-11T22:12:22.5241770Z 
2023-01-11T22:12:22.5241915Z [----------] 34 tests from OptimTest
2023-01-11T22:12:22.5242196Z [ RUN      ] OptimTest.OptimizerAccessors
2023-01-11T22:12:22.5259570Z [       OK ] OptimTest.OptimizerAccessors (1 ms)
2023-01-11T22:12:22.5259921Z [ RUN      ] OptimTest.OldInterface
2023-01-11T22:12:22.5261212Z [       OK ] OptimTest.OldInterface (0 ms)
2023-01-11T22:12:22.5261585Z [ RUN      ] OptimTest.XORConvergence_SGD
2023-01-11T22:12:23.8804320Z [       OK ] OptimTest.XORConvergence_SGD (1354 ms)
2023-01-11T22:12:23.8804711Z [ RUN      ] OptimTest.XORConvergence_LBFGS
2023-01-11T22:12:24.8178483Z [       OK ] OptimTest.XORConvergence_LBFGS (937 ms)
2023-01-11T22:12:24.8178851Z [ RUN      ] OptimTest.XORConvergence_Adagrad
2023-01-11T22:12:25.3351810Z [       OK ] OptimTest.XORConvergence_Adagrad (517 ms)
2023-01-11T22:12:25.3352656Z [ RUN      ] OptimTest.XORConvergence_RMSprop
2023-01-11T22:12:25.8472658Z [       OK ] OptimTest.XORConvergence_RMSprop (512 ms)
2023-01-11T22:12:25.8473500Z [ RUN      ] OptimTest.XORConvergence_RMSpropWithMomentum
2023-01-11T22:12:27.2845094Z [       OK ] OptimTest.XORConvergence_RMSpropWithMomentum (1437 ms)
2023-01-11T22:12:27.2845918Z [ RUN      ] OptimTest.XORConvergence_Adam
2023-01-11T22:12:27.8495485Z [       OK ] OptimTest.XORConvergence_Adam (565 ms)
2023-01-11T22:12:27.8496300Z [ RUN      ] OptimTest.XORConvergence_AdamWithAmsgrad
2023-01-11T22:12:28.4158618Z [       OK ] OptimTest.XORConvergence_AdamWithAmsgrad (566 ms)
2023-01-11T22:12:28.4159405Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adam
2023-01-11T22:12:28.6038008Z [       OK ] OptimTest.ProducesPyTorchValues_Adam (187 ms)
2023-01-11T22:12:28.6038788Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay
2023-01-11T22:12:28.7986144Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (194 ms)
2023-01-11T22:12:28.7987262Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad
2023-01-11T22:12:28.9988560Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (200 ms)
2023-01-11T22:12:28.9989346Z [ RUN      ] OptimTest.XORConvergence_AdamW
2023-01-11T22:12:29.5629008Z [       OK ] OptimTest.XORConvergence_AdamW (563 ms)
2023-01-11T22:12:29.5629837Z [ RUN      ] OptimTest.XORConvergence_AdamWWithAmsgrad
2023-01-11T22:12:30.1276535Z [       OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (564 ms)
2023-01-11T22:12:30.1277321Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamW
2023-01-11T22:12:30.3242832Z [       OK ] OptimTest.ProducesPyTorchValues_AdamW (196 ms)
2023-01-11T22:12:30.3243794Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay
2023-01-11T22:12:30.5119527Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (187 ms)
2023-01-11T22:12:30.5120287Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad
2023-01-11T22:12:30.7140017Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (202 ms)
2023-01-11T22:12:30.7140755Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adagrad
2023-01-11T22:12:30.8714679Z [       OK ] OptimTest.ProducesPyTorchValues_Adagrad (157 ms)
2023-01-11T22:12:31.0358002Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay
2023-01-11T22:12:31.0358865Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (164 ms)
2023-01-11T22:12:31.0359725Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay
2023-01-11T22:12:31.1996317Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (163 ms)
2023-01-11T22:12:31.1997137Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSprop
2023-01-11T22:12:31.3675227Z [       OK ] OptimTest.ProducesPyTorchValues_RMSprop (167 ms)
2023-01-11T22:12:31.3676047Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay
2023-01-11T22:12:31.5408959Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (173 ms)
2023-01-11T22:12:31.5409807Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered
2023-01-11T22:12:31.7285302Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (187 ms)
2023-01-11T22:12:31.7286391Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum
2023-01-11T22:12:31.9250296Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (196 ms)
2023-01-11T22:12:31.9251195Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGD
2023-01-11T22:12:32.0536547Z [       OK ] OptimTest.ProducesPyTorchValues_SGD (128 ms)
2023-01-11T22:12:32.0537332Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay
2023-01-11T22:12:32.1887910Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (135 ms)
2023-01-11T22:12:32.1888762Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum
2023-01-11T22:12:32.3416880Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (152 ms)
2023-01-11T22:12:32.3417781Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum
2023-01-11T22:12:32.4992204Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (157 ms)
2023-01-11T22:12:32.4993052Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS
2023-01-11T22:12:32.6451473Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS (145 ms)
2023-01-11T22:12:32.6452235Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search
2023-01-11T22:12:33.2906061Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (644 ms)
2023-01-11T22:12:33.2906843Z [ RUN      ] OptimTest.ZeroGrad
2023-01-11T22:12:33.2907225Z [       OK ] OptimTest.ZeroGrad (0 ms)
2023-01-11T22:12:33.2907559Z [ RUN      ] OptimTest.ExternalVectorOfParameters
2023-01-11T22:12:33.2907946Z [       OK ] OptimTest.ExternalVectorOfParameters (0 ms)
2023-01-11T22:12:33.2908300Z [ RUN      ] OptimTest.AddParameter_LBFGS
2023-01-11T22:12:33.2908846Z [       OK ] OptimTest.AddParameter_LBFGS (0 ms)
2023-01-11T22:12:33.2909331Z [ RUN      ] OptimTest.CheckLRChange_StepLR_Adam
2023-01-11T22:12:33.2909659Z [       OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms)
2023-01-11T22:12:33.2909982Z [----------] 34 tests from OptimTest (10765 ms total)
2023-01-11T22:12:33.2910144Z 
2023-01-11T22:12:33.2910303Z [----------] 29 tests from OrderedDictTest
2023-01-11T22:12:33.2910665Z [ RUN      ] OrderedDictTest.IsEmptyAfterDefaultConstruction
2023-01-11T22:12:33.2911106Z [       OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms)
2023-01-11T22:12:33.2911558Z [ RUN      ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent
2023-01-11T22:12:33.2912067Z [       OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms)
2023-01-11T22:12:33.2912535Z [ RUN      ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent
2023-01-11T22:12:33.2912971Z [       OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms)
2023-01-11T22:12:33.2913447Z [ RUN      ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent
2023-01-11T22:12:33.2929876Z [       OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (2 ms)
2023-01-11T22:12:33.2930607Z [ RUN      ] OrderedDictTest.CanInitializeFromList
2023-01-11T22:12:33.2930964Z [       OK ] OrderedDictTest.CanInitializeFromList (0 ms)
2023-01-11T22:12:33.2931417Z [ RUN      ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent
2023-01-11T22:12:33.2952869Z [       OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (2 ms)
2023-01-11T22:12:33.2953646Z [ RUN      ] OrderedDictTest.FrontReturnsTheFirstItem
2023-01-11T22:12:33.2954027Z [       OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms)
2023-01-11T22:12:33.2954478Z [ RUN      ] OrderedDictTest.FrontThrowsWhenEmpty
2023-01-11T22:12:33.2963706Z [       OK ] OrderedDictTest.FrontThrowsWhenEmpty (1 ms)
2023-01-11T22:12:33.2964081Z [ RUN      ] OrderedDictTest.BackReturnsTheLastItem
2023-01-11T22:12:33.2964464Z [       OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms)
2023-01-11T22:12:33.2964829Z [ RUN      ] OrderedDictTest.BackThrowsWhenEmpty
2023-01-11T22:12:33.2974641Z [       OK ] OrderedDictTest.BackThrowsWhenEmpty (1 ms)
2023-01-11T22:12:33.2975107Z [ RUN      ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent
2023-01-11T22:12:33.2975619Z [       OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms)
2023-01-11T22:12:33.2976163Z [ RUN      ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent
2023-01-11T22:12:33.2976769Z [       OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms)
2023-01-11T22:12:33.2977350Z [ RUN      ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent
2023-01-11T22:12:33.2978170Z [       OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms)
2023-01-11T22:12:33.2978792Z [ RUN      ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers
2023-01-11T22:12:33.2979427Z [       OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms)
2023-01-11T22:12:33.2980048Z [ RUN      ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent
2023-01-11T22:12:33.2998207Z [       OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (2 ms)
2023-01-11T22:12:33.2998780Z [ RUN      ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict
2023-01-11T22:12:33.2999290Z [       OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms)
2023-01-11T22:12:33.2999753Z [ RUN      ] OrderedDictTest.UpdateAlsoChecksForDuplicates
2023-01-11T22:12:33.3010741Z [       OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (1 ms)
2023-01-11T22:12:33.3011472Z [ RUN      ] OrderedDictTest.CanIterateItems
2023-01-11T22:12:33.3011804Z [       OK ] OrderedDictTest.CanIterateItems (0 ms)
2023-01-11T22:12:33.3012123Z [ RUN      ] OrderedDictTest.EraseWorks
2023-01-11T22:12:33.3012435Z [       OK ] OrderedDictTest.EraseWorks (0 ms)
2023-01-11T22:12:33.3012765Z [ RUN      ] OrderedDictTest.ClearMakesTheDictEmpty
2023-01-11T22:12:33.3013145Z [       OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms)
2023-01-11T22:12:33.3013497Z [ RUN      ] OrderedDictTest.CanCopyConstruct
2023-01-11T22:12:33.3013834Z [       OK ] OrderedDictTest.CanCopyConstruct (0 ms)
2023-01-11T22:12:33.3014145Z [ RUN      ] OrderedDictTest.CanCopyAssign
2023-01-11T22:12:33.3014468Z [       OK ] OrderedDictTest.CanCopyAssign (0 ms)
2023-01-11T22:12:33.3014793Z [ RUN      ] OrderedDictTest.CanMoveConstruct
2023-01-11T22:12:33.3015121Z [       OK ] OrderedDictTest.CanMoveConstruct (0 ms)
2023-01-11T22:12:33.3015444Z [ RUN      ] OrderedDictTest.CanMoveAssign
2023-01-11T22:12:33.3015766Z [       OK ] OrderedDictTest.CanMoveAssign (0 ms)
2023-01-11T22:12:33.3016088Z [ RUN      ] OrderedDictTest.CanInsertWithBraces
2023-01-11T22:12:33.3016443Z [       OK ] OrderedDictTest.CanInsertWithBraces (0 ms)
2023-01-11T22:12:33.3016855Z [ RUN      ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription
2023-01-11T22:12:33.3034575Z [       OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (2 ms)
2023-01-11T22:12:33.3035213Z [ RUN      ] OrderedDictTest.KeysReturnsAllKeys
2023-01-11T22:12:33.3035875Z [       OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms)
2023-01-11T22:12:33.3036281Z [ RUN      ] OrderedDictTest.ValuesReturnsAllValues
2023-01-11T22:12:33.3036640Z [       OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms)
2023-01-11T22:12:33.3037011Z [ RUN      ] OrderedDictTest.ItemsReturnsAllItems
2023-01-11T22:12:33.3037371Z [       OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms)
2023-01-11T22:12:33.3037732Z [----------] 29 tests from OrderedDictTest (13 ms total)
2023-01-11T22:12:33.3037882Z 
2023-01-11T22:12:33.3038022Z [----------] 13 tests from RNNTest
2023-01-11T22:12:33.3038298Z [ RUN      ] RNNTest.CheckOutputSizes
2023-01-11T22:12:33.3104728Z [       OK ] RNNTest.CheckOutputSizes (6 ms)
2023-01-11T22:12:33.3105278Z [ RUN      ] RNNTest.CheckOutputSizesProj
2023-01-11T22:12:33.3172804Z [       OK ] RNNTest.CheckOutputSizesProj (6 ms)
2023-01-11T22:12:33.3173424Z [ RUN      ] RNNTest.CheckOutputValuesMatchPyTorch
2023-01-11T22:12:33.3177630Z [       OK ] RNNTest.CheckOutputValuesMatchPyTorch (0 ms)
2023-01-11T22:12:33.3178182Z [ RUN      ] RNNTest.EndToEndLSTM
2023-01-11T22:12:34.9717038Z [       OK ] RNNTest.EndToEndLSTM (1653 ms)
2023-01-11T22:12:34.9717734Z [ RUN      ] RNNTest.EndToEndLSTMProj
2023-01-11T22:12:36.6266734Z [       OK ] RNNTest.EndToEndLSTMProj (1654 ms)
2023-01-11T22:12:36.6267054Z [ RUN      ] RNNTest.EndToEndGRU
2023-01-11T22:12:38.0988697Z [       OK ] RNNTest.EndToEndGRU (1472 ms)
2023-01-11T22:12:38.0989033Z [ RUN      ] RNNTest.EndToEndRNNRelu
2023-01-11T22:12:38.9167694Z [       OK ] RNNTest.EndToEndRNNRelu (817 ms)
2023-01-11T22:12:38.9168300Z [ RUN      ] RNNTest.EndToEndRNNTanh
2023-01-11T22:12:39.8409066Z [       OK ] RNNTest.EndToEndRNNTanh (924 ms)
2023-01-11T22:12:39.8409401Z [ RUN      ] RNNTest.PrettyPrintRNNs
2023-01-11T22:12:39.8431115Z [       OK ] RNNTest.PrettyPrintRNNs (2 ms)
2023-01-11T22:12:39.8431735Z [ RUN      ] RNNTest.BidirectionalFlattenParameters
2023-01-11T22:12:39.8520027Z [       OK ] RNNTest.BidirectionalFlattenParameters (8 ms)
2023-01-11T22:12:39.8520656Z [ RUN      ] RNNTest.BidirectionalGRUReverseForward
2023-01-11T22:12:39.8532346Z [       OK ] RNNTest.BidirectionalGRUReverseForward (1 ms)
2023-01-11T22:12:39.8532957Z [ RUN      ] RNNTest.BidirectionalLSTMReverseForward
2023-01-11T22:12:39.8543189Z [       OK ] RNNTest.BidirectionalLSTMReverseForward (1 ms)
2023-01-11T22:12:39.8543800Z [ RUN      ] RNNTest.UsePackedSequenceAsInput
2023-01-11T22:12:39.8560522Z [       OK ] RNNTest.UsePackedSequenceAsInput (1 ms)
2023-01-11T22:12:39.8561181Z [----------] 13 tests from RNNTest (6552 ms total)
2023-01-11T22:12:39.8561405Z 
2023-01-11T22:12:39.8561652Z [----------] 19 tests from SequentialTest
2023-01-11T22:12:39.8562101Z [ RUN      ] SequentialTest.CanContainThings
2023-01-11T22:12:39.8562603Z [       OK ] SequentialTest.CanContainThings (0 ms)
2023-01-11T22:12:39.8563025Z [ RUN      ] SequentialTest.ConstructsFromSharedPointer
2023-01-11T22:12:39.8563669Z [       OK ] SequentialTest.ConstructsFromSharedPointer (0 ms)
2023-01-11T22:12:39.8564205Z [ RUN      ] SequentialTest.ConstructsFromConcreteType
2023-01-11T22:12:39.8564617Z [       OK ] SequentialTest.ConstructsFromConcreteType (0 ms)
2023-01-11T22:12:39.8564989Z [ RUN      ] SequentialTest.ConstructsFromModuleHolder
2023-01-11T22:12:39.8565378Z [       OK ] SequentialTest.ConstructsFromModuleHolder (0 ms)
2023-01-11T22:12:39.8565756Z [ RUN      ] SequentialTest.PushBackAddsAnElement
2023-01-11T22:12:39.8566116Z [       OK ] SequentialTest.PushBackAddsAnElement (0 ms)
2023-01-11T22:12:39.8566447Z [ RUN      ] SequentialTest.AccessWithAt
2023-01-11T22:12:39.8597479Z [       OK ] SequentialTest.AccessWithAt (3 ms)
2023-01-11T22:12:39.8598074Z [ RUN      ] SequentialTest.AccessWithPtr
2023-01-11T22:12:39.8620794Z [       OK ] SequentialTest.AccessWithPtr (2 ms)
2023-01-11T22:12:39.8621587Z [ RUN      ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed
2023-01-11T22:12:39.8633108Z [       OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (1 ms)
2023-01-11T22:12:39.8633956Z [ RUN      ] SequentialTest.CallingForwardChainsCorrectly
2023-01-11T22:12:39.8634754Z [       OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms)
2023-01-11T22:12:39.8635587Z [ RUN      ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows
2023-01-11T22:12:39.8645470Z [       OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (1 ms)
2023-01-11T22:12:39.8646690Z [ RUN      ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor
2023-01-11T22:12:39.8647695Z [       OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms)
2023-01-11T22:12:39.8648652Z [ RUN      ] SequentialTest.ForwardReturnsTheLastValue
2023-01-11T22:12:39.8649478Z [       OK ] SequentialTest.ForwardReturnsTheLastValue (0 ms)
2023-01-11T22:12:39.8650645Z [ RUN      ] SequentialTest.SanityCheckForHoldingStandardModules
2023-01-11T22:12:39.8652084Z [       OK ] SequentialTest.SanityCheckForHoldingStandardModules (0 ms)
2023-01-11T22:12:39.8653083Z [ RUN      ] SequentialTest.ExtendPushesModulesFromOtherSequential
2023-01-11T22:12:39.8654153Z [       OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms)
2023-01-11T22:12:39.8655106Z [ RUN      ] SequentialTest.HasReferenceSemantics
2023-01-11T22:12:39.8655741Z [       OK ] SequentialTest.HasReferenceSemantics (0 ms)
2023-01-11T22:12:39.8656312Z [ RUN      ] SequentialTest.IsCloneable
2023-01-11T22:12:39.8658929Z [       OK ] SequentialTest.IsCloneable (0 ms)
2023-01-11T22:12:39.8659638Z [ RUN      ] SequentialTest.RegistersElementsAsSubmodules
2023-01-11T22:12:39.8660130Z [       OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms)
2023-01-11T22:12:39.8660573Z [ RUN      ] SequentialTest.PrettyPrintSequential
2023-01-11T22:12:39.8661792Z [       OK ] SequentialTest.PrettyPrintSequential (0 ms)
2023-01-11T22:12:39.8693185Z [ RUN      ] SequentialTest.ModuleForwardMethodOptionalArg
2023-01-11T22:12:39.8693615Z [       OK ] SequentialTest.ModuleForwardMethodOptionalArg (3 ms)
2023-01-11T22:12:39.8694002Z [----------] 19 tests from SequentialTest (13 ms total)
2023-01-11T22:12:39.8694158Z 
2023-01-11T22:12:39.8694317Z [----------] 11 tests from TransformerTest
2023-01-11T22:12:39.8694649Z [ RUN      ] TransformerTest.TransformerEncoderLayer
2023-01-11T22:12:39.8799966Z [       OK ] TransformerTest.TransformerEncoderLayer (10 ms)
2023-01-11T22:12:39.8800341Z [ RUN      ] TransformerTest.TransformerDecoderLayer
2023-01-11T22:12:39.8901932Z [       OK ] TransformerTest.TransformerDecoderLayer (10 ms)
2023-01-11T22:12:39.8902382Z [ RUN      ] TransformerTest.TransformerDecoderLayer_gelu
2023-01-11T22:12:39.8957785Z [       OK ] TransformerTest.TransformerDecoderLayer_gelu (5 ms)
2023-01-11T22:12:39.8958222Z [ RUN      ] TransformerTest.TransformerEncoder
2023-01-11T22:12:39.9146510Z [       OK ] TransformerTest.TransformerEncoder (18 ms)
2023-01-11T22:12:39.9146929Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoderLayer
2023-01-11T22:12:39.9149910Z [       OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms)
2023-01-11T22:12:39.9150390Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoder
2023-01-11T22:12:39.9158038Z [       OK ] TransformerTest.PrettyPrintTransformerEncoder (0 ms)
2023-01-11T22:12:39.9158752Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoderLayer
2023-01-11T22:12:39.9159982Z [       OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (0 ms)
2023-01-11T22:12:39.9160622Z [ RUN      ] TransformerTest.TransformerDecoder
2023-01-11T22:12:39.9698107Z [       OK ] TransformerTest.TransformerDecoder (53 ms)
2023-01-11T22:12:39.9698724Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoder
2023-01-11T22:12:39.9707553Z [       OK ] TransformerTest.PrettyPrintTransformerDecoder (1 ms)
2023-01-11T22:12:39.9708121Z [ RUN      ] TransformerTest.Transformer
2023-01-11T22:12:39.9904942Z [       OK ] TransformerTest.Transformer (19 ms)
2023-01-11T22:12:39.9905563Z [ RUN      ] TransformerTest.TransformerArgsCorrectness
2023-01-11T22:12:39.9964707Z [       OK ] TransformerTest.TransformerArgsCorrectness (5 ms)
2023-01-11T22:12:39.9965353Z [----------] 11 tests from TransformerTest (127 ms total)
2023-01-11T22:12:39.9965527Z 
2023-01-11T22:12:39.9965687Z [----------] 23 tests from SerializeTest
2023-01-11T22:12:39.9965969Z [ RUN      ] SerializeTest.KeysFunc
2023-01-11T22:12:39.9969478Z [       OK ] SerializeTest.KeysFunc (0 ms)
2023-01-11T22:12:39.9970191Z [ RUN      ] SerializeTest.TryReadFunc
2023-01-11T22:12:39.9972468Z [       OK ] SerializeTest.TryReadFunc (0 ms)
2023-01-11T22:12:39.9973006Z [ RUN      ] SerializeTest.Basic
2023-01-11T22:12:39.9975180Z [       OK ] SerializeTest.Basic (0 ms)
2023-01-11T22:12:39.9975711Z [ RUN      ] SerializeTest.MathBits
2023-01-11T22:12:40.0053633Z [       OK ] SerializeTest.MathBits (7 ms)
2023-01-11T22:12:40.0054235Z [ RUN      ] SerializeTest.BasicToFile
2023-01-11T22:12:40.0057261Z [       OK ] SerializeTest.BasicToFile (0 ms)
2023-01-11T22:12:40.0057818Z [ RUN      ] SerializeTest.BasicViaFunc
2023-01-11T22:12:40.0060990Z [       OK ] SerializeTest.BasicViaFunc (0 ms)
2023-01-11T22:12:40.0061508Z [ RUN      ] SerializeTest.Resized
2023-01-11T22:12:40.0063648Z [       OK ] SerializeTest.Resized (0 ms)
2023-01-11T22:12:40.0064173Z [ RUN      ] SerializeTest.Sliced
2023-01-11T22:12:40.0066387Z [       OK ] SerializeTest.Sliced (0 ms)
2023-01-11T22:12:40.0066938Z [ RUN      ] SerializeTest.NonContiguous
2023-01-11T22:12:40.0069177Z [       OK ] SerializeTest.NonContiguous (0 ms)
2023-01-11T22:12:40.0069761Z [ RUN      ] SerializeTest.ErrorOnMissingKey
2023-01-11T22:12:40.0150185Z [       OK ] SerializeTest.ErrorOnMissingKey (8 ms)
2023-01-11T22:12:40.0150591Z [ RUN      ] SerializeTest.XOR
2023-01-11T22:12:40.1792409Z [       OK ] SerializeTest.XOR (164 ms)
2023-01-11T22:12:40.1792722Z [ RUN      ] SerializeTest.Optim
2023-01-11T22:12:40.1814134Z [       OK ] SerializeTest.Optim (2 ms)
2023-01-11T22:12:40.1814482Z [ RUN      ] SerializeTest.Optim_Adagrad
2023-01-11T22:12:40.1844356Z [       OK ] SerializeTest.Optim_Adagrad (2 ms)
2023-01-11T22:12:40.1844713Z [ RUN      ] SerializeTest.Optim_SGD
2023-01-11T22:12:40.1871132Z [       OK ] SerializeTest.Optim_SGD (2 ms)
2023-01-11T22:12:40.1871443Z [ RUN      ] SerializeTest.Optim_Adam
2023-01-11T22:12:40.1905458Z [       OK ] SerializeTest.Optim_Adam (3 ms)
2023-01-11T22:12:40.1905760Z [ RUN      ] SerializeTest.Optim_AdamW
2023-01-11T22:12:40.1939448Z [       OK ] SerializeTest.Optim_AdamW (3 ms)
2023-01-11T22:12:40.1939750Z [ RUN      ] SerializeTest.Optim_RMSprop
2023-01-11T22:12:40.1972477Z [       OK ] SerializeTest.Optim_RMSprop (3 ms)
2023-01-11T22:12:40.1972805Z [ RUN      ] SerializeTest.Optim_LBFGS
2023-01-11T22:12:40.2005553Z [       OK ] SerializeTest.Optim_LBFGS (3 ms)
2023-01-11T22:12:40.2006080Z [ RUN      ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers
2023-01-11T22:12:40.2009655Z [       OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (0 ms)
2023-01-11T22:12:40.2010154Z [ RUN      ] SerializeTest.VectorOfTensors
2023-01-11T22:12:40.2012145Z [       OK ] SerializeTest.VectorOfTensors (0 ms)
2023-01-11T22:12:40.2012439Z [ RUN      ] SerializeTest.IValue
2023-01-11T22:12:40.2014814Z [       OK ] SerializeTest.IValue (0 ms)
2023-01-11T22:12:40.2015353Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule
2023-01-11T22:12:40.2016308Z [       OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (0 ms)
2023-01-11T22:12:40.2016861Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule
2023-01-11T22:12:40.2021869Z [       OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (0 ms)
2023-01-11T22:12:40.2022658Z [----------] 23 tests from SerializeTest (205 ms total)
2023-01-11T22:12:40.2022917Z 
2023-01-11T22:12:40.2023164Z [----------] 1 test from SpecialTest
2023-01-11T22:12:40.2023667Z [ RUN      ] SpecialTest.special
2023-01-11T22:12:40.2024173Z [       OK ] SpecialTest.special (0 ms)
2023-01-11T22:12:40.2024533Z [----------] 1 test from SpecialTest (0 ms total)
2023-01-11T22:12:40.2024744Z 
2023-01-11T22:12:40.2025007Z [----------] 5 tests from TestStatic
2023-01-11T22:12:40.2025470Z [ RUN      ] TestStatic.AllOf
2023-01-11T22:12:40.2025764Z [       OK ] TestStatic.AllOf (0 ms)
2023-01-11T22:12:40.2026001Z [ RUN      ] TestStatic.AnyOf
2023-01-11T22:12:40.2026333Z [       OK ] TestStatic.AnyOf (0 ms)
2023-01-11T22:12:40.2026620Z [ RUN      ] TestStatic.EnableIfModule
2023-01-11T22:12:40.2026909Z [       OK ] TestStatic.EnableIfModule (0 ms)
2023-01-11T22:12:40.2027223Z [ RUN      ] TestStatic.ReturnTypeOfForward
2023-01-11T22:12:40.2027549Z [       OK ] TestStatic.ReturnTypeOfForward (0 ms)
2023-01-11T22:12:40.2027834Z [ RUN      ] TestStatic.Apply
2023-01-11T22:12:40.2028087Z [       OK ] TestStatic.Apply (0 ms)
2023-01-11T22:12:40.2028388Z [----------] 5 tests from TestStatic (0 ms total)
2023-01-11T22:12:40.2028535Z 
2023-01-11T22:12:40.2030922Z [----------] 45 tests from TensorTest
2023-01-11T22:12:40.2031199Z [ RUN      ] TensorTest.ToDtype
2023-01-11T22:12:40.2046021Z [       OK ] TensorTest.ToDtype (2 ms)
2023-01-11T22:12:40.2046642Z [ RUN      ] TensorTest.ToTensorAndTensorAttributes
2023-01-11T22:12:40.2047040Z [       OK ] TensorTest.ToTensorAndTensorAttributes (0 ms)
2023-01-11T22:12:40.2047415Z [ RUN      ] TensorTest.ToOptionsWithRequiresGrad
2023-01-11T22:12:40.2069297Z [       OK ] TensorTest.ToOptionsWithRequiresGrad (2 ms)
2023-01-11T22:12:40.2069929Z [ RUN      ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame
2023-01-11T22:12:40.2070551Z [       OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms)
2023-01-11T22:12:40.2071004Z [ RUN      ] TensorTest.AtTensorCtorScalar
2023-01-11T22:12:40.2071374Z [       OK ] TensorTest.AtTensorCtorScalar (0 ms)
2023-01-11T22:12:40.2071760Z [ RUN      ] TensorTest.AtTensorCtorSingleDim
2023-01-11T22:12:40.2072173Z [       OK ] TensorTest.AtTensorCtorSingleDim (0 ms)
2023-01-11T22:12:40.2072512Z [ RUN      ] TensorTest.AtTensorCastRealToComplex
2023-01-11T22:12:40.2072931Z [       OK ] TensorTest.AtTensorCastRealToComplex (0 ms)
2023-01-11T22:12:40.2073333Z [ RUN      ] TensorTest.AtTensorCastComplexToRealErrorChecks
2023-01-11T22:12:40.2125979Z [       OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (5 ms)
2023-01-11T22:12:40.2126414Z [ RUN      ] TensorTest.TorchTensorCtorScalarIntegralType
2023-01-11T22:12:40.2126835Z [       OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms)
2023-01-11T22:12:40.2127238Z [ RUN      ] TensorTest.TorchTensorCtorScalarFloatingType
2023-01-11T22:12:40.2127632Z [       OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms)
2023-01-11T22:12:40.2128030Z [ RUN      ] TensorTest.TorchTensorCtorScalarBoolType
2023-01-11T22:12:40.2128415Z [       OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms)
2023-01-11T22:12:40.2128802Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimIntegralType
2023-01-11T22:12:40.2131469Z [       OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms)
2023-01-11T22:12:40.2131981Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimFloatingType
2023-01-11T22:12:40.2132567Z [       OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms)
2023-01-11T22:12:40.2132961Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimBoolType
2023-01-11T22:12:40.2133359Z [       OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms)
2023-01-11T22:12:40.2133769Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimIntegralType
2023-01-11T22:12:40.2136676Z [       OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (0 ms)
2023-01-11T22:12:40.2137304Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimFloatingType
2023-01-11T22:12:40.2139734Z [       OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (0 ms)
2023-01-11T22:12:40.2140540Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimBoolType
2023-01-11T22:12:40.2141274Z [       OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms)
2023-01-11T22:12:40.2142193Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimWithOptions
2023-01-11T22:12:40.2142951Z [       OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms)
2023-01-11T22:12:40.2143699Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimErrorChecks
2023-01-11T22:12:40.2199251Z [       OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (5 ms)
2023-01-11T22:12:40.2199946Z [ RUN      ] TensorTest.TorchTensorCastRealToComplex
2023-01-11T22:12:40.2200486Z [       OK ] TensorTest.TorchTensorCastRealToComplex (0 ms)
2023-01-11T22:12:40.2201182Z [ RUN      ] TensorTest.TorchTensorCastComplexToRealErrorChecks
2023-01-11T22:12:40.2201556Z [W Copy.cpp:276] Warning: Casting complex values to real discards the imaginary part (function operator())
2023-01-11T22:12:40.2212597Z [       OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (1 ms)
2023-01-11T22:12:40.2213151Z [ RUN      ] TensorTest.TorchTensorCtorZeroSizedDim
2023-01-11T22:12:40.2213661Z [       OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms)
2023-01-11T22:12:40.2214176Z [ RUN      ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype
2023-01-11T22:12:40.2214864Z [       OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms)
2023-01-11T22:12:40.2215432Z [ RUN      ] TensorTest.TorchTensorCtorWithNonDtypeOptions
2023-01-11T22:12:40.2215969Z [       OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms)
2023-01-11T22:12:40.2216342Z [ RUN      ] TensorTest.Arange
2023-01-11T22:12:40.2216648Z [       OK ] TensorTest.Arange (0 ms)
2023-01-11T22:12:40.2216968Z [ RUN      ] TensorTest.PrettyPrintTensorDataContainer
2023-01-11T22:12:40.2217365Z [       OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms)
2023-01-11T22:12:40.2217801Z [ RUN      ] TensorTest.TensorDataContainerCallingAccessorOfWrongType
2023-01-11T22:12:40.2279654Z [       OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (6 ms)
2023-01-11T22:12:40.2280381Z [ RUN      ] TensorTest.FromBlob
2023-01-11T22:12:40.2280855Z [       OK ] TensorTest.FromBlob (0 ms)
2023-01-11T22:12:40.2281343Z [ RUN      ] TensorTest.FromBlobUsesDeleter
2023-01-11T22:12:40.2281836Z [       OK ] TensorTest.FromBlobUsesDeleter (0 ms)
2023-01-11T22:12:40.2282383Z [ RUN      ] TensorTest.FromBlobWithStrides
2023-01-11T22:12:40.2282820Z [       OK ] TensorTest.FromBlobWithStrides (0 ms)
2023-01-11T22:12:40.2283330Z [ RUN      ] TensorTest.Item
2023-01-11T22:12:40.2283905Z [       OK ] TensorTest.Item (0 ms)
2023-01-11T22:12:40.2284183Z [ RUN      ] TensorTest.DataPtr
2023-01-11T22:12:40.2284458Z [       OK ] TensorTest.DataPtr (0 ms)
2023-01-11T22:12:40.2284747Z [ RUN      ] TensorTest.Data
2023-01-11T22:12:40.2285005Z [       OK ] TensorTest.Data (0 ms)
2023-01-11T22:12:40.2285285Z [ RUN      ] TensorTest.BackwardAndGrad
2023-01-11T22:12:40.2285584Z [       OK ] TensorTest.BackwardAndGrad (0 ms)
2023-01-11T22:12:40.2285910Z [ RUN      ] TensorTest.BackwardCreatesOnesGrad
2023-01-11T22:12:40.2286262Z [       OK ] TensorTest.BackwardCreatesOnesGrad (0 ms)
2023-01-11T22:12:40.2286612Z [ RUN      ] TensorTest.BackwardNonScalarOutputs
2023-01-11T22:12:40.2315278Z [       OK ] TensorTest.BackwardNonScalarOutputs (3 ms)
2023-01-11T22:12:40.2315718Z [ RUN      ] TensorTest.IsLeaf
2023-01-11T22:12:40.2316209Z [       OK ] TensorTest.IsLeaf (0 ms)
2023-01-11T22:12:40.2316772Z [ RUN      ] TensorTest.OutputNr
2023-01-11T22:12:40.2317136Z [       OK ] TensorTest.OutputNr (0 ms)
2023-01-11T22:12:40.2317413Z [ RUN      ] TensorTest.Version
2023-01-11T22:12:40.2317734Z [       OK ] TensorTest.Version (0 ms)
2023-01-11T22:12:40.2317983Z [ RUN      ] TensorTest.Detach
2023-01-11T22:12:40.2318313Z [       OK ] TensorTest.Detach (0 ms)
2023-01-11T22:12:40.2318593Z [ RUN      ] TensorTest.DetachInplace
2023-01-11T22:12:40.2318875Z [       OK ] TensorTest.DetachInplace (0 ms)
2023-01-11T22:12:40.2319147Z [ RUN      ] TensorTest.SetData
2023-01-11T22:12:40.2319414Z [       OK ] TensorTest.SetData (0 ms)
2023-01-11T22:12:40.2319698Z [ RUN      ] TensorTest.RequiresGradInplace
2023-01-11T22:12:40.2342628Z [       OK ] TensorTest.RequiresGradInplace (2 ms)
2023-01-11T22:12:40.2343080Z [ RUN      ] TensorTest.StdDimension
2023-01-11T22:12:40.2343810Z [       OK ] TensorTest.StdDimension (0 ms)
2023-01-11T22:12:40.2344263Z [ RUN      ] TensorTest.ReshapeAlias
2023-01-11T22:12:40.2345636Z [       OK ] TensorTest.ReshapeAlias (0 ms)
2023-01-11T22:12:40.2346195Z [----------] 45 tests from TensorTest (32 ms total)
2023-01-11T22:12:40.2346490Z 
2023-01-11T22:12:40.2346713Z [----------] 36 tests from TensorIndexingTest
2023-01-11T22:12:40.2347018Z [ RUN      ] TensorIndexingTest.Slice
2023-01-11T22:12:40.2347319Z [       OK ] TensorIndexingTest.Slice (0 ms)
2023-01-11T22:12:40.2347616Z [ RUN      ] TensorIndexingTest.TensorIndex
2023-01-11T22:12:40.2358952Z [       OK ] TensorIndexingTest.TensorIndex (1 ms)
2023-01-11T22:12:40.2359290Z [ RUN      ] TensorIndexingTest.TestNoIndices
2023-01-11T22:12:40.2445448Z [       OK ] TensorIndexingTest.TestNoIndices (8 ms)
2023-01-11T22:12:40.2445961Z [ RUN      ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor
2023-01-11T22:12:40.2447124Z [       OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (0 ms)
2023-01-11T22:12:40.2447659Z [ RUN      ] TensorIndexingTest.TestSingleInt
2023-01-11T22:12:40.2448102Z [       OK ] TensorIndexingTest.TestSingleInt (0 ms)
2023-01-11T22:12:40.2448506Z [ RUN      ] TensorIndexingTest.TestMultipleInt
2023-01-11T22:12:40.2449013Z [       OK ] TensorIndexingTest.TestMultipleInt (0 ms)
2023-01-11T22:12:40.2449415Z [ RUN      ] TensorIndexingTest.TestNone
2023-01-11T22:12:40.2449740Z [       OK ] TensorIndexingTest.TestNone (0 ms)
2023-01-11T22:12:40.2450107Z [ RUN      ] TensorIndexingTest.TestStep
2023-01-11T22:12:40.2450461Z [       OK ] TensorIndexingTest.TestStep (0 ms)
2023-01-11T22:12:40.2450826Z [ RUN      ] TensorIndexingTest.TestStepAssignment
2023-01-11T22:12:40.2451193Z [       OK ] TensorIndexingTest.TestStepAssignment (0 ms)
2023-01-11T22:12:40.2451545Z [ RUN      ] TensorIndexingTest.TestBoolIndices
2023-01-11T22:12:40.2453219Z [       OK ] TensorIndexingTest.TestBoolIndices (0 ms)
2023-01-11T22:12:40.2453924Z [ RUN      ] TensorIndexingTest.TestBoolIndicesAccumulate
2023-01-11T22:12:40.2454668Z [       OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms)
2023-01-11T22:12:40.2455389Z [ RUN      ] TensorIndexingTest.TestMultipleBoolIndices
2023-01-11T22:12:40.2456087Z [       OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms)
2023-01-11T22:12:40.2456724Z [ RUN      ] TensorIndexingTest.TestByteMask
2023-01-11T22:12:40.2457344Z [       OK ] TensorIndexingTest.TestByteMask (0 ms)
2023-01-11T22:12:40.2457956Z [ RUN      ] TensorIndexingTest.TestByteMaskAccumulate
2023-01-11T22:12:40.2458658Z [       OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms)
2023-01-11T22:12:40.2459476Z [ RUN      ] TensorIndexingTest.TestMultipleByteMask
2023-01-11T22:12:40.2460170Z [       OK ] TensorIndexingTest.TestMultipleByteMask (0 ms)
2023-01-11T22:12:40.2460774Z [ RUN      ] TensorIndexingTest.TestByteMask2d
2023-01-11T22:12:40.2461385Z [       OK ] TensorIndexingTest.TestByteMask2d (0 ms)
2023-01-11T22:12:40.2462003Z [ RUN      ] TensorIndexingTest.TestIntIndices
2023-01-11T22:12:40.2462704Z [       OK ] TensorIndexingTest.TestIntIndices (0 ms)
2023-01-11T22:12:40.2463299Z [ RUN      ] TensorIndexingTest.TestIntIndices2d
2023-01-11T22:12:40.2463657Z [       OK ] TensorIndexingTest.TestIntIndices2d (0 ms)
2023-01-11T22:12:40.2464022Z [ RUN      ] TensorIndexingTest.TestIntIndicesBroadcast
2023-01-11T22:12:40.2464410Z [       OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms)
2023-01-11T22:12:40.2464772Z [ RUN      ] TensorIndexingTest.TestEmptyIndex
2023-01-11T22:12:40.2465114Z [       OK ] TensorIndexingTest.TestEmptyIndex (0 ms)
2023-01-11T22:12:40.2465453Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndex
2023-01-11T22:12:40.2519374Z [       OK ] TensorIndexingTest.TestEmptyNdimIndex (5 ms)
2023-01-11T22:12:40.2519761Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndexBool
2023-01-11T22:12:40.2540055Z [       OK ] TensorIndexingTest.TestEmptyNdimIndexBool (2 ms)
2023-01-11T22:12:40.2540477Z [ RUN      ] TensorIndexingTest.TestEmptySlice
2023-01-11T22:12:40.2540907Z [       OK ] TensorIndexingTest.TestEmptySlice (0 ms)
2023-01-11T22:12:40.2541516Z [ RUN      ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices
2023-01-11T22:12:40.2541965Z [       OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms)
2023-01-11T22:12:40.2542395Z [ RUN      ] TensorIndexingTest.TestIndexSetitemBoolsSlices
2023-01-11T22:12:40.2631172Z [       OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (8 ms)
2023-01-11T22:12:40.2631799Z [ RUN      ] TensorIndexingTest.TestIndexScalarWithBoolMask
2023-01-11T22:12:40.2632307Z [       OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms)
2023-01-11T22:12:40.2632723Z [ RUN      ] TensorIndexingTest.TestSetitemExpansionError
2023-01-11T22:12:40.2749544Z [       OK ] TensorIndexingTest.TestSetitemExpansionError (11 ms)
2023-01-11T22:12:40.2749947Z [ RUN      ] TensorIndexingTest.TestGetitemScalars
2023-01-11T22:12:40.2856830Z [       OK ] TensorIndexingTest.TestGetitemScalars (10 ms)
2023-01-11T22:12:40.2857201Z [ RUN      ] TensorIndexingTest.TestSetitemScalars
2023-01-11T22:12:40.2963663Z [       OK ] TensorIndexingTest.TestSetitemScalars (10 ms)
2023-01-11T22:12:40.2964179Z [ RUN      ] TensorIndexingTest.TestBasicAdvancedCombined
2023-01-11T22:12:40.2965012Z [       OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms)
2023-01-11T22:12:40.2965501Z [ RUN      ] TensorIndexingTest.TestIntAssignment
2023-01-11T22:12:40.2965867Z [       OK ] TensorIndexingTest.TestIntAssignment (0 ms)
2023-01-11T22:12:40.2966282Z [ RUN      ] TensorIndexingTest.TestByteTensorAssignment
2023-01-11T22:12:40.2967477Z [       OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms)
2023-01-11T22:12:40.2968133Z [ RUN      ] TensorIndexingTest.TestVariableSlicing
2023-01-11T22:12:40.2968820Z [       OK ] TensorIndexingTest.TestVariableSlicing (0 ms)
2023-01-11T22:12:40.2969419Z [ RUN      ] TensorIndexingTest.TestEllipsisTensor
2023-01-11T22:12:40.2969789Z [       OK ] TensorIndexingTest.TestEllipsisTensor (0 ms)
2023-01-11T22:12:40.2970154Z [ RUN      ] TensorIndexingTest.TestOutOfBoundIndex
2023-01-11T22:12:40.3063228Z [       OK ] TensorIndexingTest.TestOutOfBoundIndex (9 ms)
2023-01-11T22:12:40.3063609Z [ RUN      ] TensorIndexingTest.TestZeroDimIndex
2023-01-11T22:12:40.3083841Z [       OK ] TensorIndexingTest.TestZeroDimIndex (2 ms)
2023-01-11T22:12:40.3084229Z [----------] 36 tests from TensorIndexingTest (73 ms total)
2023-01-11T22:12:40.3084395Z 
2023-01-11T22:12:40.3084544Z [----------] 18 tests from NumpyTests
2023-01-11T22:12:40.3084823Z [ RUN      ] NumpyTests.TestNoneIndex
2023-01-11T22:12:40.3085120Z [       OK ] NumpyTests.TestNoneIndex (0 ms)
2023-01-11T22:12:40.3085475Z [ RUN      ] NumpyTests.TestEmptyFancyIndex
2023-01-11T22:12:40.3136742Z [       OK ] NumpyTests.TestEmptyFancyIndex (5 ms)
2023-01-11T22:12:40.3137225Z [ RUN      ] NumpyTests.TestEllipsisIndex
2023-01-11T22:12:40.3138066Z [       OK ] NumpyTests.TestEllipsisIndex (0 ms)
2023-01-11T22:12:40.3138698Z [ RUN      ] NumpyTests.TestSingleIntIndex
2023-01-11T22:12:40.3159627Z [       OK ] NumpyTests.TestSingleIntIndex (2 ms)
2023-01-11T22:12:40.3160068Z [ RUN      ] NumpyTests.TestSingleBoolIndex
2023-01-11T22:12:40.3160479Z [       OK ] NumpyTests.TestSingleBoolIndex (0 ms)
2023-01-11T22:12:40.3160871Z [ RUN      ] NumpyTests.TestBooleanShapeMismatch
2023-01-11T22:12:40.3368402Z [       OK ] NumpyTests.TestBooleanShapeMismatch (20 ms)
2023-01-11T22:12:40.3369063Z [ RUN      ] NumpyTests.TestBooleanIndexingOnedim
2023-01-11T22:12:40.3369624Z [       OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms)
2023-01-11T22:12:40.3370031Z [ RUN      ] NumpyTests.TestBooleanAssignmentValueMismatch
2023-01-11T22:12:40.3519089Z [       OK ] NumpyTests.TestBooleanAssignmentValueMismatch (14 ms)
2023-01-11T22:12:40.3519744Z [ RUN      ] NumpyTests.TestBooleanIndexingTwodim
2023-01-11T22:12:40.3520414Z [       OK ] NumpyTests.TestBooleanIndexingTwodim (0 ms)
2023-01-11T22:12:40.3521064Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdness
2023-01-11T22:12:40.3628272Z [       OK ] NumpyTests.TestBooleanIndexingWeirdness (10 ms)
2023-01-11T22:12:40.3628918Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdnessTensors
2023-01-11T22:12:40.3736253Z [       OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (10 ms)
2023-01-11T22:12:40.3736736Z [ RUN      ] NumpyTests.TestBooleanIndexingAlldims
2023-01-11T22:12:40.3737212Z [       OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms)
2023-01-11T22:12:40.3737615Z [ RUN      ] NumpyTests.TestBooleanListIndexing
2023-01-11T22:12:40.3738557Z [       OK ] NumpyTests.TestBooleanListIndexing (0 ms)
2023-01-11T22:12:40.3739022Z [ RUN      ] NumpyTests.TestEverythingReturnsViews
2023-01-11T22:12:40.3739392Z [       OK ] NumpyTests.TestEverythingReturnsViews (0 ms)
2023-01-11T22:12:40.3739745Z [ RUN      ] NumpyTests.TestBroaderrorsIndexing
2023-01-11T22:12:40.3951831Z [       OK ] NumpyTests.TestBroaderrorsIndexing (21 ms)
2023-01-11T22:12:40.3952431Z [ RUN      ] NumpyTests.TestTrivialFancyOutOfBounds
2023-01-11T22:12:40.4221230Z [       OK ] NumpyTests.TestTrivialFancyOutOfBounds (26 ms)
2023-01-11T22:12:40.4221833Z [ RUN      ] NumpyTests.TestIndexIsLarger
2023-01-11T22:12:40.4222400Z [       OK ] NumpyTests.TestIndexIsLarger (0 ms)
2023-01-11T22:12:40.4222902Z [ RUN      ] NumpyTests.TestBroadcastSubspace
2023-01-11T22:12:40.4224989Z [       OK ] NumpyTests.TestBroadcastSubspace (0 ms)
2023-01-11T22:12:40.4225498Z [----------] 18 tests from NumpyTests (114 ms total)
2023-01-11T22:12:40.4225663Z 
2023-01-11T22:12:40.4225828Z [----------] 5 tests from TensorOptionsTest
2023-01-11T22:12:40.4226182Z [ RUN      ] TensorOptionsTest.DefaultsToTheRightValues
2023-01-11T22:12:40.4226666Z [       OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms)
2023-01-11T22:12:40.4227177Z [ RUN      ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions
2023-01-11T22:12:40.4227907Z [       OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms)
2023-01-11T22:12:40.4228381Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTypes
2023-01-11T22:12:40.4228840Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms)
2023-01-11T22:12:40.4229254Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTensors
2023-01-11T22:12:40.4229737Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms)
2023-01-11T22:12:40.4230269Z [ RUN      ] TensorOptionsTest.ConstructsWellFromVariables
2023-01-11T22:12:40.4230672Z [       OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms)
2023-01-11T22:12:40.4231113Z [----------] 5 tests from TensorOptionsTest (0 ms total)
2023-01-11T22:12:40.4231274Z 
2023-01-11T22:12:40.4231414Z [----------] 1 test from DeviceTest
2023-01-11T22:12:40.4231769Z [ RUN      ] DeviceTest.ParsesCorrectlyFromString
2023-01-11T22:12:40.4310153Z [       OK ] DeviceTest.ParsesCorrectlyFromString (8 ms)
2023-01-11T22:12:40.4310600Z [----------] 1 test from DeviceTest (8 ms total)
2023-01-11T22:12:40.4310821Z 
2023-01-11T22:12:40.4311036Z [----------] 3 tests from DefaultDtypeTest
2023-01-11T22:12:40.4311369Z [ RUN      ] DefaultDtypeTest.CanSetAndGetDefaultDtype
2023-01-11T22:12:40.4311763Z [       OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms)
2023-01-11T22:12:40.4312196Z [ RUN      ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault
2023-01-11T22:12:40.4312645Z [       OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms)
2023-01-11T22:12:40.4313141Z [ RUN      ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype
2023-01-11T22:12:40.4313592Z [       OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms)
2023-01-11T22:12:40.4313985Z [----------] 3 tests from DefaultDtypeTest (0 ms total)
2023-01-11T22:12:40.4314243Z 
2023-01-11T22:12:40.4314390Z [----------] 1 test from TorchIncludeTest
2023-01-11T22:12:40.4314700Z [ RUN      ] TorchIncludeTest.GetSetNumThreads
2023-01-11T22:12:40.4315040Z [       OK ] TorchIncludeTest.GetSetNumThreads (0 ms)
2023-01-11T22:12:40.4315380Z [----------] 1 test from TorchIncludeTest (0 ms total)
2023-01-11T22:12:40.4315523Z 
2023-01-11T22:12:40.4315684Z [----------] 28 tests from InferenceModeTest
2023-01-11T22:12:40.4315991Z [ RUN      ] InferenceModeTest.TestTLSState
2023-01-11T22:12:40.4318749Z [       OK ] InferenceModeTest.TestTLSState (0 ms)
2023-01-11T22:12:40.4319176Z [ RUN      ] InferenceModeTest.TestInferenceTensorCreation
2023-01-11T22:12:40.4319596Z [       OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms)
2023-01-11T22:12:40.4320021Z [ RUN      ] InferenceModeTest.TestExistingAutogradSession
2023-01-11T22:12:40.4390817Z [       OK ] InferenceModeTest.TestExistingAutogradSession (7 ms)
2023-01-11T22:12:40.4391658Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp
2023-01-11T22:12:40.4392223Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms)
2023-01-11T22:12:40.4392754Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp
2023-01-11T22:12:40.4393269Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms)
2023-01-11T22:12:40.4393783Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp
2023-01-11T22:12:40.4394359Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms)
2023-01-11T22:12:40.4394869Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp
2023-01-11T22:12:40.4395382Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms)
2023-01-11T22:12:40.4395890Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp
2023-01-11T22:12:40.4445769Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (5 ms)
2023-01-11T22:12:40.4446500Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp
2023-01-11T22:12:40.4447148Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms)
2023-01-11T22:12:40.4447931Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode
2023-01-11T22:12:40.4448542Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms)
2023-01-11T22:12:40.4449045Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode
2023-01-11T22:12:40.4449554Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms)
2023-01-11T22:12:40.4450058Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode
2023-01-11T22:12:40.4450571Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms)
2023-01-11T22:12:40.4451049Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode
2023-01-11T22:12:40.4479910Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (3 ms)
2023-01-11T22:12:40.4480454Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp
2023-01-11T22:12:40.4511475Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (3 ms)
2023-01-11T22:12:40.4511994Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp
2023-01-11T22:12:40.4593272Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (8 ms)
2023-01-11T22:12:40.4593840Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp
2023-01-11T22:12:40.4594440Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms)
2023-01-11T22:12:40.4594878Z [ RUN      ] InferenceModeTest.TestHandleDirectViewOnRebase
2023-01-11T22:12:40.4625979Z [       OK ] InferenceModeTest.TestHandleDirectViewOnRebase (3 ms)
2023-01-11T22:12:40.4626414Z [ RUN      ] InferenceModeTest.TestHandleInDirectViewOnRebase
2023-01-11T22:12:40.4648569Z [       OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (2 ms)
2023-01-11T22:12:40.4649006Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagation
2023-01-11T22:12:40.4710361Z [       OK ] InferenceModeTest.TestCreationMetaPropagation (6 ms)
2023-01-11T22:12:40.4710799Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagationInput
2023-01-11T22:12:40.4833991Z [       OK ] InferenceModeTest.TestCreationMetaPropagationInput (12 ms)
2023-01-11T22:12:40.4834516Z [ RUN      ] InferenceModeTest.TestInplaceCopyOnInferenceTensor
2023-01-11T22:12:40.4907095Z [       OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (7 ms)
2023-01-11T22:12:40.4907591Z [ RUN      ] InferenceModeTest.TestSetRequiresGradInNormalMode
2023-01-11T22:12:40.4917876Z [       OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (1 ms)
2023-01-11T22:12:40.4918299Z [ RUN      ] InferenceModeTest.TestAccessVersionCounter
2023-01-11T22:12:40.4951338Z [       OK ] InferenceModeTest.TestAccessVersionCounter (3 ms)
2023-01-11T22:12:40.4951817Z [ RUN      ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor
2023-01-11T22:12:40.5023723Z [       OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (7 ms)
2023-01-11T22:12:40.5024540Z [ RUN      ] InferenceModeTest.TestComplexViewInInferenceMode
2023-01-11T22:12:40.5025210Z [       OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms)
2023-01-11T22:12:40.5025954Z [ RUN      ] InferenceModeTest.TestComplexViewInNormalMode
2023-01-11T22:12:40.5026666Z [       OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms)
2023-01-11T22:12:40.5027175Z [ RUN      ] InferenceModeTest.TestCustomFunction
2023-01-11T22:12:40.5027539Z [       OK ] InferenceModeTest.TestCustomFunction (0 ms)
2023-01-11T22:12:40.5027968Z [ RUN      ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning
2023-01-11T22:12:40.5028478Z [       OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms)
2023-01-11T22:12:40.5028962Z [----------] 28 tests from InferenceModeTest (71 ms total)
2023-01-11T22:12:40.5029126Z 
2023-01-11T22:12:40.5029274Z [----------] 4 tests from GradModeTest
2023-01-11T22:12:40.5029602Z [ RUN      ] GradModeTest.TestRequiresGradFunctionalOp
2023-01-11T22:12:40.5029979Z [       OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms)
2023-01-11T22:12:40.5030355Z [ RUN      ] GradModeTest.TestRequiresGradInplaceOp
2023-01-11T22:12:40.5030728Z [       OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms)
2023-01-11T22:12:40.5031073Z [ RUN      ] GradModeTest.TestRequiresGradViewOp
2023-01-11T22:12:40.5031426Z [       OK ] GradModeTest.TestRequiresGradViewOp (0 ms)
2023-01-11T22:12:40.5031794Z [ RUN      ] GradModeTest.TestRequiresGradViewOpExiting
2023-01-11T22:12:40.5058835Z [       OK ] GradModeTest.TestRequiresGradViewOpExiting (3 ms)
2023-01-11T22:12:40.5059486Z [----------] 4 tests from GradModeTest (3 ms total)
2023-01-11T22:12:40.5059652Z 
2023-01-11T22:12:40.5059804Z [----------] 3 tests from OperationTest
2023-01-11T22:12:40.5060070Z [ RUN      ] OperationTest.Lerp
2023-01-11T22:12:40.5066746Z [       OK ] OperationTest.Lerp (0 ms)
2023-01-11T22:12:40.5067227Z [ RUN      ] OperationTest.Cross
2023-01-11T22:12:40.5098632Z [       OK ] OperationTest.Cross (3 ms)
2023-01-11T22:12:40.5099167Z [ RUN      ] OperationTest.Linear_out
2023-01-11T22:12:40.5101525Z [       OK ] OperationTest.Linear_out (0 ms)
2023-01-11T22:12:40.5102129Z [----------] 3 tests from OperationTest (4 ms total)
2023-01-11T22:12:40.5102312Z 
2023-01-11T22:12:40.5102480Z [----------] Global test environment tear-down
2023-01-11T22:12:40.5200233Z [==========] 992 tests from 48 test suites ran. (41693 ms total)
2023-01-11T22:12:40.5200700Z [  PASSED  ] 992 tests.
2023-01-11T22:12:40.5953390Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_tensorexpr --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml
2023-01-11T22:12:40.8868793Z CUDA not available. Disabling CUDA and MultiCUDA tests
2023-01-11T22:12:40.8873263Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2023-01-11T22:12:40.8873815Z [==========] Running 801 tests from 25 test suites.
2023-01-11T22:12:40.8874255Z [----------] Global test environment set-up.
2023-01-11T22:12:40.8874532Z [----------] 1 test from Approx
2023-01-11T22:12:40.8874764Z [ RUN      ] Approx.log_vml
2023-01-11T22:12:42.2690472Z [       OK ] Approx.log_vml (1381 ms)
2023-01-11T22:12:42.2691003Z [----------] 1 test from Approx (1381 ms total)
2023-01-11T22:12:42.2691152Z 
2023-01-11T22:12:42.2691291Z [----------] 34 tests from ATen
2023-01-11T22:12:42.2691579Z [ RUN      ] ATen._cast_Float
2023-01-11T22:12:42.2692972Z [       OK ] ATen._cast_Float (0 ms)
2023-01-11T22:12:42.2693446Z [ RUN      ] ATen.negInt
2023-01-11T22:12:42.2696111Z [       OK ] ATen.negInt (0 ms)
2023-01-11T22:12:42.2696564Z [ RUN      ] ATen.negFloat
2023-01-11T22:12:42.2711343Z [       OK ] ATen.negFloat (1 ms)
2023-01-11T22:12:42.2711906Z [ RUN      ] ATen.addInt
2023-01-11T22:12:42.2718133Z [       OK ] ATen.addInt (0 ms)
2023-01-11T22:12:42.2718571Z [ RUN      ] ATen.addFloat
2023-01-11T22:12:42.2724630Z [       OK ] ATen.addFloat (0 ms)
2023-01-11T22:12:42.2725068Z [ RUN      ] ATen.subInt
2023-01-11T22:12:42.2731291Z [       OK ] ATen.subInt (0 ms)
2023-01-11T22:12:42.2731754Z [ RUN      ] ATen.subFloat
2023-01-11T22:12:42.2737624Z [       OK ] ATen.subFloat (0 ms)
2023-01-11T22:12:42.2738064Z [ RUN      ] ATen.lerp
2023-01-11T22:12:42.2745766Z [       OK ] ATen.lerp (0 ms)
2023-01-11T22:12:42.2746228Z [ RUN      ] ATen.addcmulInt
2023-01-11T22:12:42.2753673Z [       OK ] ATen.addcmulInt (0 ms)
2023-01-11T22:12:42.2754229Z [ RUN      ] ATen.addcmulFloat
2023-01-11T22:12:42.2761884Z [       OK ] ATen.addcmulFloat (0 ms)
2023-01-11T22:12:42.2762332Z [ RUN      ] ATen.mulInt
2023-01-11T22:12:42.2766784Z [       OK ] ATen.mulInt (0 ms)
2023-01-11T22:12:42.2767213Z [ RUN      ] ATen.mulFloat
2023-01-11T22:12:42.2771479Z [       OK ] ATen.mulFloat (0 ms)
2023-01-11T22:12:42.2771929Z [ RUN      ] ATen.divInt
2023-01-11T22:12:42.2776155Z [       OK ] ATen.divInt (0 ms)
2023-01-11T22:12:42.2776606Z [ RUN      ] ATen.divFloat
2023-01-11T22:12:42.2781023Z [       OK ] ATen.divFloat (0 ms)
2023-01-11T22:12:42.2781444Z [ RUN      ] ATen.maxInt
2023-01-11T22:12:42.2785685Z [       OK ] ATen.maxInt (0 ms)
2023-01-11T22:12:42.2786131Z [ RUN      ] ATen.maxFloat
2023-01-11T22:12:42.2790383Z [       OK ] ATen.maxFloat (0 ms)
2023-01-11T22:12:42.2790818Z [ RUN      ] ATen.minInt
2023-01-11T22:12:42.2795224Z [       OK ] ATen.minInt (0 ms)
2023-01-11T22:12:42.2795669Z [ RUN      ] ATen.minFloat
2023-01-11T22:12:42.2799955Z [       OK ] ATen.minFloat (0 ms)
2023-01-11T22:12:42.2800407Z [ RUN      ] ATen.reluInt
2023-01-11T22:12:42.2803765Z [       OK ] ATen.reluInt (0 ms)
2023-01-11T22:12:42.2804202Z [ RUN      ] ATen.reluFloat
2023-01-11T22:12:42.2807359Z [       OK ] ATen.reluFloat (0 ms)
2023-01-11T22:12:42.2807931Z [ RUN      ] ATen.logFloat
2023-01-11T22:12:42.2810776Z [       OK ] ATen.logFloat (0 ms)
2023-01-11T22:12:42.2811230Z [ RUN      ] ATen.fastLogFloat
2023-01-11T22:12:42.2957559Z [       OK ] ATen.fastLogFloat (14 ms)
2023-01-11T22:12:42.2958064Z [ RUN      ] ATen.fastTanhFloat
2023-01-11T22:12:42.3014604Z [       OK ] ATen.fastTanhFloat (5 ms)
2023-01-11T22:12:42.3015133Z [ RUN      ] ATen.fastSigmoidFloat
2023-01-11T22:12:42.3089641Z [       OK ] ATen.fastSigmoidFloat (7 ms)
2023-01-11T22:12:42.3090141Z [ RUN      ] ATen.log10Float
2023-01-11T22:12:42.3092806Z [       OK ] ATen.log10Float (0 ms)
2023-01-11T22:12:42.3093310Z [ RUN      ] ATen.log2Float
2023-01-11T22:12:42.3096026Z [       OK ] ATen.log2Float (0 ms)
2023-01-11T22:12:42.3096470Z [ RUN      ] ATen.expFloat
2023-01-11T22:12:42.3099292Z [       OK ] ATen.expFloat (0 ms)
2023-01-11T22:12:42.3099754Z [ RUN      ] ATen.erfFloat
2023-01-11T22:12:42.3102705Z [       OK ] ATen.erfFloat (0 ms)
2023-01-11T22:12:42.3103170Z [ RUN      ] ATen.cosFloat
2023-01-11T22:12:42.3105694Z [       OK ] ATen.cosFloat (0 ms)
2023-01-11T22:12:42.3106137Z [ RUN      ] ATen.eqInt
2023-01-11T22:12:42.3110622Z [       OK ] ATen.eqInt (0 ms)
2023-01-11T22:12:42.3111051Z [ RUN      ] ATen.geInt
2023-01-11T22:12:42.3115457Z [       OK ] ATen.geInt (0 ms)
2023-01-11T22:12:42.3115869Z [ RUN      ] ATen.gtInt
2023-01-11T22:12:42.3120301Z [       OK ] ATen.gtInt (0 ms)
2023-01-11T22:12:42.3120732Z [ RUN      ] ATen.leInt
2023-01-11T22:12:42.3125278Z [       OK ] ATen.leInt (0 ms)
2023-01-11T22:12:42.3125690Z [ RUN      ] ATen.ltInt
2023-01-11T22:12:42.3130168Z [       OK ] ATen.ltInt (0 ms)
2023-01-11T22:12:42.3130681Z [----------] 34 tests from ATen (44 ms total)
2023-01-11T22:12:42.3130947Z 
2023-01-11T22:12:42.3131351Z [----------] 26 tests from BoundsInference
2023-01-11T22:12:42.3131633Z [ RUN      ] BoundsInference._1
2023-01-11T22:12:42.3132926Z [       OK ] BoundsInference._1 (0 ms)
2023-01-11T22:12:42.3133201Z [ RUN      ] BoundsInference._2
2023-01-11T22:12:42.3135101Z [       OK ] BoundsInference._2 (0 ms)
2023-01-11T22:12:42.3135362Z [ RUN      ] BoundsInference._3
2023-01-11T22:12:42.3137637Z [       OK ] BoundsInference._3 (0 ms)
2023-01-11T22:12:42.3137883Z [ RUN      ] BoundsInference._4
2023-01-11T22:12:42.3143176Z [       OK ] BoundsInference._4 (0 ms)
2023-01-11T22:12:42.3143438Z [ RUN      ] BoundsInference._5
2023-01-11T22:12:42.3155998Z [       OK ] BoundsInference._5 (1 ms)
2023-01-11T22:12:42.3156270Z [ RUN      ] BoundsInference._6
2023-01-11T22:12:42.3165118Z [       OK ] BoundsInference._6 (0 ms)
2023-01-11T22:12:42.3165414Z [ RUN      ] BoundsInference.Adjacent
2023-01-11T22:12:42.3170804Z [       OK ] BoundsInference.Adjacent (0 ms)
2023-01-11T22:12:42.3171198Z [ RUN      ] BoundsInference.MultipleTopLoopLoad
2023-01-11T22:12:42.3175927Z [       OK ] BoundsInference.MultipleTopLoopLoad (0 ms)
2023-01-11T22:12:42.3176345Z [ RUN      ] BoundsInference.MultipleTopLoopStore
2023-01-11T22:12:42.3180504Z [       OK ] BoundsInference.MultipleTopLoopStore (0 ms)
2023-01-11T22:12:42.3180902Z [ RUN      ] BoundsInference.CacheReads
2023-01-11T22:12:42.3207773Z [       OK ] BoundsInference.CacheReads (2 ms)
2023-01-11T22:12:42.3208068Z [ RUN      ] BoundsInference.Flattened
2023-01-11T22:12:42.3220422Z [       OK ] BoundsInference.Flattened (1 ms)
2023-01-11T22:12:42.3220834Z [ RUN      ] BoundsInference.GetPotentialHazards
2023-01-11T22:12:42.3221734Z [       OK ] BoundsInference.GetPotentialHazards (0 ms)
2023-01-11T22:12:42.3222134Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopNoHazard
2023-01-11T22:12:42.3225491Z [       OK ] BoundsInference.GetPotentialHazardsLoopNoHazard (0 ms)
2023-01-11T22:12:42.3225914Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopCall
2023-01-11T22:12:42.3230214Z [       OK ] BoundsInference.GetPotentialHazardsLoopCall (0 ms)
2023-01-11T22:12:42.3230640Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopSplit
2023-01-11T22:12:42.3241854Z [       OK ] BoundsInference.GetPotentialHazardsLoopSplit (1 ms)
2023-01-11T22:12:42.3242410Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap
2023-01-11T22:12:42.3247259Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap (0 ms)
2023-01-11T22:12:42.3247891Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap
2023-01-11T22:12:42.3248983Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap (0 ms)
2023-01-11T22:12:42.3249599Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW
2023-01-11T22:12:42.3251549Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW (0 ms)
2023-01-11T22:12:42.3252099Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping
2023-01-11T22:12:42.3254766Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping (0 ms)
2023-01-11T22:12:42.3255262Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap
2023-01-11T22:12:42.3269548Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap (1 ms)
2023-01-11T22:12:42.3270144Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap
2023-01-11T22:12:42.3279526Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap (0 ms)
2023-01-11T22:12:42.3279999Z [ RUN      ] BoundsInference.HasConflictingOverlapDifferentBuffers
2023-01-11T22:12:42.3282530Z [       OK ] BoundsInference.HasConflictingOverlapDifferentBuffers (0 ms)
2023-01-11T22:12:42.3283021Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToRAWDependence
2023-01-11T22:12:42.3285404Z [       OK ] BoundsInference.HasConflictingOverlapDueToRAWDependence (0 ms)
2023-01-11T22:12:42.3285877Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToWARDependence
2023-01-11T22:12:42.3288065Z [       OK ] BoundsInference.HasConflictingOverlapDueToWARDependence (0 ms)
2023-01-11T22:12:42.3288520Z [ RUN      ] BoundsInference.HasConflictingOverlapWithLoads
2023-01-11T22:12:42.3290688Z [       OK ] BoundsInference.HasConflictingOverlapWithLoads (0 ms)
2023-01-11T22:12:42.3291069Z [ RUN      ] BoundsInference.IsOverlapping
2023-01-11T22:12:42.3312872Z [       OK ] BoundsInference.IsOverlapping (2 ms)
2023-01-11T22:12:42.3313308Z [----------] 26 tests from BoundsInference (18 ms total)
2023-01-11T22:12:42.3313478Z 
2023-01-11T22:12:42.3313600Z [----------] 4 tests from Conv
2023-01-11T22:12:42.3313862Z [ RUN      ] Conv.DepthwiseConv2D
2023-01-11T22:12:42.5913879Z [       OK ] Conv.DepthwiseConv2D (259 ms)
2023-01-11T22:12:42.5914294Z [ RUN      ] Conv.DepthwiseConv2DNoBias
2023-01-11T22:12:42.8437781Z [       OK ] Conv.DepthwiseConv2DNoBias (252 ms)
2023-01-11T22:12:42.8438169Z [ RUN      ] Conv.DepthwiseConv2DDynamicShapes
2023-01-11T22:12:43.0388568Z [       OK ] Conv.DepthwiseConv2DDynamicShapes (195 ms)
2023-01-11T22:12:43.0388964Z [ RUN      ] Conv.Conv2D
2023-01-11T22:12:44.0028770Z [       OK ] Conv.Conv2D (963 ms)
2023-01-11T22:12:44.0029276Z [----------] 4 tests from Conv (1671 ms total)
2023-01-11T22:12:44.0029490Z 
2023-01-11T22:12:44.0029730Z [----------] 28 tests from CppPrinter
2023-01-11T22:12:44.0030224Z [ RUN      ] CppPrinter.IntImm
2023-01-11T22:12:44.0030639Z [       OK ] CppPrinter.IntImm (0 ms)
2023-01-11T22:12:44.0031060Z [ RUN      ] CppPrinter.FloatImm
2023-01-11T22:12:44.0031474Z [       OK ] CppPrinter.FloatImm (0 ms)
2023-01-11T22:12:44.0031898Z [ RUN      ] CppPrinter.FloatImm1
2023-01-11T22:12:44.0032286Z [       OK ] CppPrinter.FloatImm1 (0 ms)
2023-01-11T22:12:44.0032608Z [ RUN      ] CppPrinter.DoubleImm
2023-01-11T22:12:44.0033065Z [       OK ] CppPrinter.DoubleImm (0 ms)
2023-01-11T22:12:44.0033509Z [ RUN      ] CppPrinter.DoubleImm1
2023-01-11T22:12:44.0033996Z [       OK ] CppPrinter.DoubleImm1 (0 ms)
2023-01-11T22:12:44.0037286Z [ RUN      ] CppPrinter.HalfImm
2023-01-11T22:12:44.0037755Z [       OK ] CppPrinter.HalfImm (0 ms)
2023-01-11T22:12:44.0038192Z [ RUN      ] CppPrinter.Add
2023-01-11T22:12:44.0038614Z [       OK ] CppPrinter.Add (0 ms)
2023-01-11T22:12:44.0039065Z [ RUN      ] CppPrinter.AddExpr1
2023-01-11T22:12:44.0039575Z [       OK ] CppPrinter.AddExpr1 (0 ms)
2023-01-11T22:12:44.0040048Z [ RUN      ] CppPrinter.AddExpr2
2023-01-11T22:12:44.0040535Z [       OK ] CppPrinter.AddExpr2 (0 ms)
2023-01-11T22:12:44.0041027Z [ RUN      ] CppPrinter.AddExpr3
2023-01-11T22:12:44.0041567Z [       OK ] CppPrinter.AddExpr3 (0 ms)
2023-01-11T22:12:44.0041962Z [ RUN      ] CppPrinter.Mod
2023-01-11T22:12:44.0042223Z [       OK ] CppPrinter.Mod (0 ms)
2023-01-11T22:12:44.0042482Z [ RUN      ] CppPrinter.ModFloat
2023-01-11T22:12:44.0042756Z [       OK ] CppPrinter.ModFloat (0 ms)
2023-01-11T22:12:44.0043002Z [ RUN      ] CppPrinter.Max
2023-01-11T22:12:44.0043258Z [       OK ] CppPrinter.Max (0 ms)
2023-01-11T22:12:44.0043775Z [ RUN      ] CppPrinter.MaxFloat
2023-01-11T22:12:44.0044040Z [       OK ] CppPrinter.MaxFloat (0 ms)
2023-01-11T22:12:44.0044505Z [ RUN      ] CppPrinter.MaxHalf
2023-01-11T22:12:44.0044779Z [       OK ] CppPrinter.MaxHalf (0 ms)
2023-01-11T22:12:44.0045026Z [ RUN      ] CppPrinter.And
2023-01-11T22:12:44.0045282Z [       OK ] CppPrinter.And (0 ms)
2023-01-11T22:12:44.0045560Z [ RUN      ] CppPrinter.CompareSelect
2023-01-11T22:12:44.0045851Z [       OK ] CppPrinter.CompareSelect (0 ms)
2023-01-11T22:12:44.0046202Z [ RUN      ] CppPrinter.IfThenElse
2023-01-11T22:12:44.0046489Z [       OK ] CppPrinter.IfThenElse (0 ms)
2023-01-11T22:12:44.0046759Z [ RUN      ] CppPrinter.AllocateFree
2023-01-11T22:12:44.0047053Z [       OK ] CppPrinter.AllocateFree (0 ms)
2023-01-11T22:12:44.0047334Z [ RUN      ] CppPrinter.LoadStore
2023-01-11T22:12:44.0047615Z [       OK ] CppPrinter.LoadStore (0 ms)
2023-01-11T22:12:44.0047861Z [ RUN      ] CppPrinter.Var
2023-01-11T22:12:44.0048122Z [       OK ] CppPrinter.Var (0 ms)
2023-01-11T22:12:44.0048375Z [ RUN      ] CppPrinter.Cast
2023-01-11T22:12:44.0048624Z [       OK ] CppPrinter.Cast (0 ms)
2023-01-11T22:12:44.0048882Z [ RUN      ] CppPrinter.BitCast
2023-01-11T22:12:44.0049151Z [       OK ] CppPrinter.BitCast (0 ms)
2023-01-11T22:12:44.0049394Z [ RUN      ] CppPrinter.Let
2023-01-11T22:12:44.0049646Z [       OK ] CppPrinter.Let (0 ms)
2023-01-11T22:12:44.0049895Z [ RUN      ] CppPrinter.For
2023-01-11T22:12:44.0050137Z [       OK ] CppPrinter.For (0 ms)
2023-01-11T22:12:44.0050391Z [ RUN      ] CppPrinter.Cond
2023-01-11T22:12:44.0050653Z [       OK ] CppPrinter.Cond (0 ms)
2023-01-11T22:12:44.0050908Z [ RUN      ] CppPrinter.Intrinsics
2023-01-11T22:12:44.0051192Z [       OK ] CppPrinter.Intrinsics (0 ms)
2023-01-11T22:12:44.0051479Z [ RUN      ] CppPrinter.ExternalCall
2023-01-11T22:12:44.0051773Z [       OK ] CppPrinter.ExternalCall (0 ms)
2023-01-11T22:12:44.0052083Z [----------] 28 tests from CppPrinter (0 ms total)
2023-01-11T22:12:44.0052237Z 
2023-01-11T22:12:44.0052386Z [----------] 8 tests from DynamicShapes
2023-01-11T22:12:44.0052673Z [ RUN      ] DynamicShapes.SimpleGraph
2023-01-11T22:12:44.0891310Z [       OK ] DynamicShapes.SimpleGraph (85 ms)
2023-01-11T22:12:44.0891701Z [ RUN      ] DynamicShapes.GraphWith2InputsSameDims
2023-01-11T22:12:44.1634207Z [       OK ] DynamicShapes.GraphWith2InputsSameDims (74 ms)
2023-01-11T22:12:44.1634717Z [ RUN      ] DynamicShapes.GraphWith2InputsAndBroadcast
2023-01-11T22:12:44.2399235Z [       OK ] DynamicShapes.GraphWith2InputsAndBroadcast (76 ms)
2023-01-11T22:12:44.2399692Z [ RUN      ] DynamicShapes.GraphWithPartiallySymbolicOutput
2023-01-11T22:12:44.2794796Z [       OK ] DynamicShapes.GraphWithPartiallySymbolicOutput (39 ms)
2023-01-11T22:12:44.2795395Z [ RUN      ] DynamicShapes.GraphWithSymbolicStrides
2023-01-11T22:12:44.4443620Z [       OK ] DynamicShapes.GraphWithSymbolicStrides (164 ms)
2023-01-11T22:12:44.4444172Z [ RUN      ] DynamicShapes.GraphWithCatAndBroadcast
2023-01-11T22:12:44.8829094Z [       OK ] DynamicShapes.GraphWithCatAndBroadcast (438 ms)
2023-01-11T22:12:44.8829481Z [ RUN      ] DynamicShapes.GraphFromModel
2023-01-11T22:12:45.2645715Z [       OK ] DynamicShapes.GraphFromModel (381 ms)
2023-01-11T22:12:45.2646144Z [ RUN      ] DynamicShapes.MultiThreadedExecution
2023-01-11T22:12:45.3395197Z [       OK ] DynamicShapes.MultiThreadedExecution (74 ms)
2023-01-11T22:12:45.3396007Z [----------] 8 tests from DynamicShapes (1335 ms total)
2023-01-11T22:12:45.3396259Z 
2023-01-11T22:12:45.3396557Z [----------] 30 tests from Expr
2023-01-11T22:12:45.3397798Z [ RUN      ] Expr.BasicValueTest
2023-01-11T22:12:45.3398262Z [       OK ] Expr.BasicValueTest (0 ms)
2023-01-11T22:12:45.3399064Z [ RUN      ] Expr.BasicValueTest02
2023-01-11T22:12:45.3399591Z [       OK ] Expr.BasicValueTest02 (0 ms)
2023-01-11T22:12:45.3400120Z [ RUN      ] Expr.IsChannelsLastContiguous
2023-01-11T22:12:45.3400702Z [       OK ] Expr.IsChannelsLastContiguous (0 ms)
2023-01-11T22:12:45.3400986Z [ RUN      ] Expr.LetTest01
2023-01-11T22:12:45.3401299Z [       OK ] Expr.LetTest01 (0 ms)
2023-01-11T22:12:45.3401546Z [ RUN      ] Expr.LetTest02
2023-01-11T22:12:45.3401798Z [       OK ] Expr.LetTest02 (0 ms)
2023-01-11T22:12:45.3402040Z [ RUN      ] Expr.LetStmtTest01
2023-01-11T22:12:45.3402313Z [       OK ] Expr.LetStmtTest01 (0 ms)
2023-01-11T22:12:45.3402566Z [ RUN      ] Expr.IntTest
2023-01-11T22:12:45.3402839Z [       OK ] Expr.IntTest (0 ms)
2023-01-11T22:12:45.3403071Z [ RUN      ] Expr.FloatTest
2023-01-11T22:12:45.3403327Z [       OK ] Expr.FloatTest (0 ms)
2023-01-11T22:12:45.3403801Z [ RUN      ] Expr.ByteTest
2023-01-11T22:12:45.3404043Z [       OK ] Expr.ByteTest (0 ms)
2023-01-11T22:12:45.3404289Z [ RUN      ] Expr.CharTest
2023-01-11T22:12:45.3404545Z [       OK ] Expr.CharTest (0 ms)
2023-01-11T22:12:45.3404778Z [ RUN      ] Expr.ShortTest
2023-01-11T22:12:45.3405044Z [       OK ] Expr.ShortTest (0 ms)
2023-01-11T22:12:45.3405298Z [ RUN      ] Expr.LongTest
2023-01-11T22:12:45.3405531Z [       OK ] Expr.LongTest (0 ms)
2023-01-11T22:12:45.3405770Z [ RUN      ] Expr.HalfTest
2023-01-11T22:12:45.3406017Z [       OK ] Expr.HalfTest (0 ms)
2023-01-11T22:12:45.3406249Z [ RUN      ] Expr.DoubleTest
2023-01-11T22:12:45.3406515Z [       OK ] Expr.DoubleTest (0 ms)
2023-01-11T22:12:45.3406770Z [ RUN      ] Expr.VectorAdd01
2023-01-11T22:12:45.3413524Z [       OK ] Expr.VectorAdd01 (1 ms)
2023-01-11T22:12:45.3414024Z [ RUN      ] Expr.CompareSelectEQ
2023-01-11T22:12:45.3450553Z [       OK ] Expr.CompareSelectEQ (3 ms)
2023-01-11T22:12:45.3451064Z [ RUN      ] Expr.CompareSelectDtypes
2023-01-11T22:12:45.3487004Z [       OK ] Expr.CompareSelectDtypes (3 ms)
2023-01-11T22:12:45.3487541Z [ RUN      ] Expr.IntrinsicsDtypes
2023-01-11T22:12:45.3493226Z [       OK ] Expr.IntrinsicsDtypes (0 ms)
2023-01-11T22:12:45.3493722Z [ RUN      ] Expr.Substitute01
2023-01-11T22:12:45.3494230Z [       OK ] Expr.Substitute01 (0 ms)
2023-01-11T22:12:45.3494634Z [ RUN      ] Expr.Math01
2023-01-11T22:12:45.3494880Z [       OK ] Expr.Math01 (0 ms)
2023-01-11T22:12:45.3495116Z [ RUN      ] Expr.UnaryMath01
2023-01-11T22:12:45.3495764Z [       OK ] Expr.UnaryMath01 (0 ms)
2023-01-11T22:12:45.3496034Z [ RUN      ] Expr.BinaryMath01
2023-01-11T22:12:45.3496292Z [       OK ] Expr.BinaryMath01 (0 ms)
2023-01-11T22:12:45.3496573Z [ RUN      ] Expr.LogicalOps01
2023-01-11T22:12:45.3497421Z [       OK ] Expr.LogicalOps01 (0 ms)
2023-01-11T22:12:45.3497887Z [ RUN      ] Expr.LogicalOps02
2023-01-11T22:12:45.3498352Z [       OK ] Expr.LogicalOps02 (0 ms)
2023-01-11T22:12:45.3498696Z [ RUN      ] Expr.LogicalOps03
2023-01-11T22:12:45.3499319Z [       OK ] Expr.LogicalOps03 (0 ms)
2023-01-11T22:12:45.3499762Z [ RUN      ] Expr.BitwiseOps
2023-01-11T22:12:45.3500186Z [       OK ] Expr.BitwiseOps (0 ms)
2023-01-11T22:12:45.3500457Z [ RUN      ] Expr.DynamicShapeAdd
2023-01-11T22:12:45.3502097Z [       OK ] Expr.DynamicShapeAdd (0 ms)
2023-01-11T22:12:45.3502706Z [ RUN      ] Expr.OutOfBounds
2023-01-11T22:12:45.3537799Z [       OK ] Expr.OutOfBounds (3 ms)
2023-01-11T22:12:45.3538073Z [ RUN      ] Expr.OutOfBounds2d
2023-01-11T22:12:45.3545949Z [       OK ] Expr.OutOfBounds2d (0 ms)
2023-01-11T22:12:45.3546400Z [ RUN      ] Expr.OutOfBounds2dFlattenedIndex
2023-01-11T22:12:45.3550900Z [       OK ] Expr.OutOfBounds2dFlattenedIndex (0 ms)
2023-01-11T22:12:45.3551229Z [----------] 30 tests from Expr (15 ms total)
2023-01-11T22:12:45.3551376Z 
2023-01-11T22:12:45.3551527Z [----------] 16 tests from ExternalCall
2023-01-11T22:12:45.3551807Z [ RUN      ] ExternalCall.Conv1d_float
2023-01-11T22:12:45.3828905Z [       OK ] ExternalCall.Conv1d_float (27 ms)
2023-01-11T22:12:45.3829255Z [ RUN      ] ExternalCall.Conv1d_int
2023-01-11T22:12:45.4200737Z [       OK ] ExternalCall.Conv1d_int (37 ms)
2023-01-11T22:12:45.4201057Z [ RUN      ] ExternalCall.Conv1d_nobias_noargs
2023-01-11T22:12:45.4443773Z [       OK ] ExternalCall.Conv1d_nobias_noargs (24 ms)
2023-01-11T22:12:45.4444272Z [ RUN      ] ExternalCall.Conv2d_float
2023-01-11T22:12:45.4786023Z [       OK ] ExternalCall.Conv2d_float (34 ms)
2023-01-11T22:12:45.4786356Z [ RUN      ] ExternalCall.Conv2d_int
2023-01-11T22:12:45.5181833Z [       OK ] ExternalCall.Conv2d_int (39 ms)
2023-01-11T22:12:45.5182159Z [ RUN      ] ExternalCall.Conv2d_nobias_noargs
2023-01-11T22:12:45.5470993Z [       OK ] ExternalCall.Conv2d_nobias_noargs (28 ms)
2023-01-11T22:12:45.5471321Z [ RUN      ] ExternalCall.Addmm_float
2023-01-11T22:12:45.5728929Z [       OK ] ExternalCall.Addmm_float (25 ms)
2023-01-11T22:12:45.5729252Z [ RUN      ] ExternalCall.Embedding
2023-01-11T22:12:45.5977893Z [       OK ] ExternalCall.Embedding (24 ms)
2023-01-11T22:12:45.5978330Z [ RUN      ] ExternalCall.MaxReduction
2023-01-11T22:12:45.6207318Z [       OK ] ExternalCall.MaxReduction (22 ms)
2023-01-11T22:12:45.6207653Z [ RUN      ] ExternalCall.Prepacked_Linear_float
2023-01-11T22:12:45.6530364Z [       OK ] ExternalCall.Prepacked_Linear_float (32 ms)
2023-01-11T22:12:45.6530909Z [ RUN      ] ExternalCall.Prepacked_Conv2d_float
2023-01-11T22:12:45.6848274Z [       OK ] ExternalCall.Prepacked_Conv2d_float (31 ms)
2023-01-11T22:12:45.6849087Z [ RUN      ] ExternalCall.BinaryFloat
2023-01-11T22:12:45.7599079Z [       OK ] ExternalCall.BinaryFloat (75 ms)
2023-01-11T22:12:45.7599639Z [ RUN      ] ExternalCall.UnaryFloat
2023-01-11T22:12:45.8054880Z [       OK ] ExternalCall.UnaryFloat (45 ms)
2023-01-11T22:12:45.8055579Z [ RUN      ] ExternalCall.ComputeInterop
2023-01-11T22:12:46.8955331Z [       OK ] ExternalCall.ComputeInterop (1089 ms)
2023-01-11T22:12:46.8955890Z [ RUN      ] ExternalCall.Inlining
2023-01-11T22:12:46.9695179Z [       OK ] ExternalCall.Inlining (73 ms)
2023-01-11T22:12:46.9695757Z [ RUN      ] ExternalCall.JitCustomFusionOp
2023-01-11T22:12:47.0932609Z [       OK ] ExternalCall.JitCustomFusionOp (123 ms)
2023-01-11T22:12:47.0933343Z [----------] 16 tests from ExternalCall (1737 ms total)
2023-01-11T22:12:47.0933618Z 
2023-01-11T22:12:47.0933882Z [----------] 8 tests from GraphOpt
2023-01-11T22:12:47.0934367Z [ RUN      ] GraphOpt.OptimizeCat
2023-01-11T22:12:47.1266407Z [       OK ] GraphOpt.OptimizeCat (33 ms)
2023-01-11T22:12:47.1266978Z [ RUN      ] GraphOpt.OptimizeCat2
2023-01-11T22:12:47.1626875Z [       OK ] GraphOpt.OptimizeCat2 (36 ms)
2023-01-11T22:12:47.1627577Z [ RUN      ] GraphOpt.OptimizeCat3
2023-01-11T22:12:47.2043335Z [       OK ] GraphOpt.OptimizeCat3 (41 ms)
2023-01-11T22:12:47.2044253Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInUser
2023-01-11T22:12:47.2377848Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInUser (33 ms)
2023-01-11T22:12:47.2378642Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInCat
2023-01-11T22:12:47.2994860Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInCat (61 ms)
2023-01-11T22:12:47.2995945Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp
2023-01-11T22:12:47.3375573Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp (37 ms)
2023-01-11T22:12:47.3376408Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2
2023-01-11T22:12:47.3779961Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 (40 ms)
2023-01-11T22:12:47.3781016Z [ RUN      ] GraphOpt.AOTGraphPrepPasses
2023-01-11T22:12:47.3781577Z [       OK ] GraphOpt.AOTGraphPrepPasses (0 ms)
2023-01-11T22:12:47.3782134Z [----------] 8 tests from GraphOpt (284 ms total)
2023-01-11T22:12:47.3782376Z 
2023-01-11T22:12:47.3782613Z [----------] 4 tests from IRPrinter
2023-01-11T22:12:47.3783076Z [ RUN      ] IRPrinter.BasicValueTest
2023-01-11T22:12:47.3783530Z [       OK ] IRPrinter.BasicValueTest (0 ms)
2023-01-11T22:12:47.3784056Z [ RUN      ] IRPrinter.BasicValueTest02
2023-01-11T22:12:47.3784584Z [       OK ] IRPrinter.BasicValueTest02 (0 ms)
2023-01-11T22:12:47.3785047Z [ RUN      ] IRPrinter.CastTest
2023-01-11T22:12:47.3785530Z [       OK ] IRPrinter.CastTest (0 ms)
2023-01-11T22:12:47.3786018Z [ RUN      ] IRPrinter.FunctionName
2023-01-11T22:12:47.3786536Z [       OK ] IRPrinter.FunctionName (0 ms)
2023-01-11T22:12:47.3787034Z [----------] 4 tests from IRPrinter (0 ms total)
2023-01-11T22:12:47.3787274Z 
2023-01-11T22:12:47.3787512Z [----------] 8 tests from IRVerifier
2023-01-11T22:12:47.3787913Z [ RUN      ] IRVerifier.BitwiseOps
2023-01-11T22:12:47.3788394Z [       OK ] IRVerifier.BitwiseOps (0 ms)
2023-01-11T22:12:47.3788892Z [ RUN      ] IRVerifier.CompareSelect
2023-01-11T22:12:47.3789406Z [       OK ] IRVerifier.CompareSelect (0 ms)
2023-01-11T22:12:47.3789876Z [ RUN      ] IRVerifier.Ramp
2023-01-11T22:12:47.3790345Z [       OK ] IRVerifier.Ramp (0 ms)
2023-01-11T22:12:47.3790793Z [ RUN      ] IRVerifier.Load
2023-01-11T22:12:47.3791272Z [       OK ] IRVerifier.Load (0 ms)
2023-01-11T22:12:47.3791723Z [ RUN      ] IRVerifier.IfThenElse
2023-01-11T22:12:47.3792234Z [       OK ] IRVerifier.IfThenElse (0 ms)
2023-01-11T22:12:47.3792702Z [ RUN      ] IRVerifier.For
2023-01-11T22:12:47.3793148Z [       OK ] IRVerifier.For (0 ms)
2023-01-11T22:12:47.3793591Z [ RUN      ] IRVerifier.Block
2023-01-11T22:12:47.3794050Z [       OK ] IRVerifier.Block (0 ms)
2023-01-11T22:12:47.3794586Z [ RUN      ] IRVerifier.Store
2023-01-11T22:12:47.3795051Z [       OK ] IRVerifier.Store (0 ms)
2023-01-11T22:12:47.3795580Z [----------] 8 tests from IRVerifier (0 ms total)
2023-01-11T22:12:47.3795849Z 
2023-01-11T22:12:47.3796080Z [----------] 37 tests from Kernel
2023-01-11T22:12:47.3796604Z [ RUN      ] Kernel.ParallelExternalCallBuf
2023-01-11T22:12:47.4361702Z [       OK ] Kernel.ParallelExternalCallBuf (57 ms)
2023-01-11T22:12:47.4362315Z [ RUN      ] Kernel.InliningIntermediates
2023-01-11T22:12:47.5030458Z [       OK ] Kernel.InliningIntermediates (66 ms)
2023-01-11T22:12:47.5031165Z [ RUN      ] Kernel.PreAllocIntermediateBufs
2023-01-11T22:12:47.6143161Z [       OK ] Kernel.PreAllocIntermediateBufs (111 ms)
2023-01-11T22:12:47.6143736Z [ RUN      ] Kernel._1
2023-01-11T22:12:47.6436939Z [       OK ] Kernel._1 (29 ms)
2023-01-11T22:12:47.6437369Z [ RUN      ] Kernel._2
2023-01-11T22:12:47.6753430Z [       OK ] Kernel._2 (31 ms)
2023-01-11T22:12:47.6753865Z [ RUN      ] Kernel._3
2023-01-11T22:12:47.7073458Z [       OK ] Kernel._3 (31 ms)
2023-01-11T22:12:47.7073948Z [ RUN      ] Kernel.Huge
2023-01-11T22:12:47.7326109Z [       OK ] Kernel.Huge (25 ms)
2023-01-11T22:12:47.7326929Z [ RUN      ] Kernel.ParallelStrided
2023-01-11T22:12:47.8523063Z [       OK ] Kernel.ParallelStrided (119 ms)
2023-01-11T22:12:47.8523885Z [ RUN      ] Kernel.CatInputTypesPromotion
2023-01-11T22:12:47.9465093Z [       OK ] Kernel.CatInputTypesPromotion (94 ms)
2023-01-11T22:12:47.9465602Z [ RUN      ] Kernel.ToDType
2023-01-11T22:12:47.9749494Z [       OK ] Kernel.ToDType (28 ms)
2023-01-11T22:12:47.9750415Z [ RUN      ] Kernel.CatAndInlineWithAConstantDim
2023-01-11T22:12:48.0035481Z [       OK ] Kernel.CatAndInlineWithAConstantDim (28 ms)
2023-01-11T22:12:48.0036200Z [ RUN      ] Kernel.CatWithEmptyInputs
2023-01-11T22:12:48.0738949Z [       OK ] Kernel.CatWithEmptyInputs (70 ms)
2023-01-11T22:12:48.0739547Z [ RUN      ] Kernel.CatWoConditionals
2023-01-11T22:12:48.1480277Z [       OK ] Kernel.CatWoConditionals (74 ms)
2023-01-11T22:12:48.1480907Z [ RUN      ] Kernel.OptimizeConditionals
2023-01-11T22:12:48.2438493Z [       OK ] Kernel.OptimizeConditionals (95 ms)
2023-01-11T22:12:48.2439033Z [ RUN      ] Kernel.SumAllAxes
2023-01-11T22:12:48.2939337Z [       OK ] Kernel.SumAllAxes (50 ms)
2023-01-11T22:12:48.2939838Z [ RUN      ] Kernel.SumOneAxis
2023-01-11T22:12:48.6995920Z [       OK ] Kernel.SumOneAxis (405 ms)
2023-01-11T22:12:48.6996507Z [ RUN      ] Kernel.SumMultipleAxes
2023-01-11T22:12:49.1264948Z [       OK ] Kernel.SumMultipleAxes (426 ms)
2023-01-11T22:12:49.1265499Z [ RUN      ] Kernel.Softmax2D
2023-01-11T22:12:49.5738287Z [       OK ] Kernel.Softmax2D (447 ms)
2023-01-11T22:12:49.5738877Z [ RUN      ] Kernel.Softmax3D
2023-01-11T22:12:50.4378607Z [       OK ] Kernel.Softmax3D (864 ms)
2023-01-11T22:12:50.4379092Z [ RUN      ] Kernel.Softmax4D
2023-01-11T22:12:51.5652008Z [       OK ] Kernel.Softmax4D (1127 ms)
2023-01-11T22:12:51.5652539Z [ RUN      ] Kernel.SignTest
2023-01-11T22:12:51.6346386Z [       OK ] Kernel.SignTest (69 ms)
2023-01-11T22:12:51.6347003Z [ RUN      ] Kernel.InlineProducerIntoReduction
2023-01-11T22:12:51.6627866Z [       OK ] Kernel.InlineProducerIntoReduction (28 ms)
2023-01-11T22:12:51.6628597Z [ RUN      ] Kernel.InlineReductionIntoConsumer
2023-01-11T22:12:51.6975803Z [       OK ] Kernel.InlineReductionIntoConsumer (34 ms)
2023-01-11T22:12:51.6976182Z [ RUN      ] Kernel.ConstantTensors
2023-01-11T22:12:51.7369937Z [       OK ] Kernel.ConstantTensors (39 ms)
2023-01-11T22:12:51.7370283Z [ RUN      ] Kernel.ConstantTensorsNonContiguous
2023-01-11T22:12:51.7762469Z [       OK ] Kernel.ConstantTensorsNonContiguous (39 ms)
2023-01-11T22:12:51.7762776Z [ RUN      ] Kernel.RunFast
2023-01-11T22:12:51.8074257Z [       OK ] Kernel.RunFast (31 ms)
2023-01-11T22:12:51.8074584Z [ RUN      ] Kernel.RunWithAllocatedOutputs
2023-01-11T22:12:51.8385870Z [       OK ] Kernel.RunWithAllocatedOutputs (31 ms)
2023-01-11T22:12:51.8386178Z [ RUN      ] Kernel.CodegenInspection
2023-01-11T22:12:51.8777940Z [       OK ] Kernel.CodegenInspection (39 ms)
2023-01-11T22:12:51.8778242Z [ RUN      ] Kernel.CustomLowering
2023-01-11T22:12:51.9018417Z [       OK ] Kernel.CustomLowering (24 ms)
2023-01-11T22:12:51.9018930Z [ RUN      ] Kernel.Vectorize
2023-01-11T22:12:51.9321159Z [       OK ] Kernel.Vectorize (30 ms)
2023-01-11T22:12:51.9321698Z [ RUN      ] Kernel.Strided1dWithinBounds
2023-01-11T22:12:51.9548460Z [       OK ] Kernel.Strided1dWithinBounds (22 ms)
2023-01-11T22:12:51.9548992Z [ RUN      ] Kernel.InputAsOutput
2023-01-11T22:12:51.9889172Z [       OK ] Kernel.InputAsOutput (34 ms)
2023-01-11T22:12:51.9889627Z [ RUN      ] Kernel.ScalarOut
2023-01-11T22:12:52.0092208Z [       OK ] Kernel.ScalarOut (20 ms)
2023-01-11T22:12:52.0092703Z [ RUN      ] Kernel.ScalarTensorOut
2023-01-11T22:12:52.0348082Z [       OK ] Kernel.ScalarTensorOut (25 ms)
2023-01-11T22:12:52.0348440Z [ RUN      ] Kernel.FuseLoopsWithVariableBounds
2023-01-11T22:12:52.4741001Z [       OK ] Kernel.FuseLoopsWithVariableBounds (439 ms)
2023-01-11T22:12:52.4741401Z [ RUN      ] Kernel.FuseLoopsWithVariableConcatDim
2023-01-11T22:12:52.9730887Z [       OK ] Kernel.FuseLoopsWithVariableConcatDim (498 ms)
2023-01-11T22:12:52.9731357Z [ RUN      ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims
2023-01-11T22:12:53.2982841Z [       OK ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims (325 ms)
2023-01-11T22:12:53.2983303Z [----------] 37 tests from Kernel (5919 ms total)
2023-01-11T22:12:53.2983475Z 
2023-01-11T22:12:53.2983674Z [----------] 174 tests from LoopNest
2023-01-11T22:12:53.2983954Z [ RUN      ] LoopNest.ExprSimple01
2023-01-11T22:12:53.3003923Z [       OK ] LoopNest.ExprSimple01 (2 ms)
2023-01-11T22:12:53.3004292Z [ RUN      ] LoopNest.ExprLower01
2023-01-11T22:12:53.3020090Z [       OK ] LoopNest.ExprLower01 (1 ms)
2023-01-11T22:12:53.3020605Z [ RUN      ] LoopNest.ExprSimple02
2023-01-11T22:12:53.3042231Z [       OK ] LoopNest.ExprSimple02 (2 ms)
2023-01-11T22:12:53.3042582Z [ RUN      ] LoopNest.ExprSliceHeadWithLoopOptions
2023-01-11T22:12:53.3044668Z [       OK ] LoopNest.ExprSliceHeadWithLoopOptions (0 ms)
2023-01-11T22:12:53.3045031Z [ RUN      ] LoopNest.ExprSliceTailWithLoopOptions
2023-01-11T22:12:53.3047458Z [       OK ] LoopNest.ExprSliceTailWithLoopOptions (0 ms)
2023-01-11T22:12:53.3047849Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorEqualsSize
2023-01-11T22:12:53.3056305Z [       OK ] LoopNest.ExprSliceHeadWhenFactorEqualsSize (0 ms)
2023-01-11T22:12:53.3056774Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize
2023-01-11T22:12:53.3057324Z [       OK ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize (0 ms)
2023-01-11T22:12:53.3057848Z [ RUN      ] LoopNest.ExprSliceHead
2023-01-11T22:12:53.3058185Z [       OK ] LoopNest.ExprSliceHead (0 ms)
2023-01-11T22:12:53.3058582Z [ RUN      ] LoopNest.ExprSliceHeadWithNonZeroStart
2023-01-11T22:12:53.3060919Z [       OK ] LoopNest.ExprSliceHeadWithNonZeroStart (0 ms)
2023-01-11T22:12:53.3061667Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorEqualsSize
2023-01-11T22:12:53.3062404Z [       OK ] LoopNest.ExprSliceTailWhenFactorEqualsSize (0 ms)
2023-01-11T22:12:53.3063177Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorLargerThanSize
2023-01-11T22:12:53.3063866Z [       OK ] LoopNest.ExprSliceTailWhenFactorLargerThanSize (0 ms)
2023-01-11T22:12:53.3064477Z [ RUN      ] LoopNest.ExprSliceTail
2023-01-11T22:12:53.3065009Z [       OK ] LoopNest.ExprSliceTail (0 ms)
2023-01-11T22:12:53.3065544Z [ RUN      ] LoopNest.ExprSplitAndSlice
2023-01-11T22:12:53.3070138Z [       OK ] LoopNest.ExprSplitAndSlice (0 ms)
2023-01-11T22:12:53.3070472Z [ RUN      ] LoopNest.ExprSliceAndNormalize
2023-01-11T22:12:53.3072191Z [       OK ] LoopNest.ExprSliceAndNormalize (0 ms)
2023-01-11T22:12:53.3072618Z [ RUN      ] LoopNest.ExprSliceWithVariableDimension
2023-01-11T22:12:53.3088812Z [       OK ] LoopNest.ExprSliceWithVariableDimension (1 ms)
2023-01-11T22:12:53.3089160Z [ RUN      ] LoopNest.ExprSplitWithTail
2023-01-11T22:12:53.3096290Z [       OK ] LoopNest.ExprSplitWithTail (0 ms)
2023-01-11T22:12:53.3096627Z [ RUN      ] LoopNest.ExprSplitWithTailNone
2023-01-11T22:12:53.3109353Z [       OK ] LoopNest.ExprSplitWithTailNone (1 ms)
2023-01-11T22:12:53.3109683Z [ RUN      ] LoopNest.ExprSplitWithMask01
2023-01-11T22:12:53.3150206Z [       OK ] LoopNest.ExprSplitWithMask01 (4 ms)
2023-01-11T22:12:53.3150571Z [ RUN      ] LoopNest.ExprSplitWithMaskRepeatedNoMask
2023-01-11T22:12:53.3155364Z [       OK ] LoopNest.ExprSplitWithMaskRepeatedNoMask (0 ms)
2023-01-11T22:12:53.3155914Z [ RUN      ] LoopNest.getLoopAt
2023-01-11T22:12:53.3156202Z [       OK ] LoopNest.getLoopAt (0 ms)
2023-01-11T22:12:53.3156461Z [ RUN      ] LoopNest.TileSimple
2023-01-11T22:12:53.4030755Z [       OK ] LoopNest.TileSimple (87 ms)
2023-01-11T22:12:53.4031280Z [ RUN      ] LoopNest.TileWithTails
2023-01-11T22:12:53.4908476Z [       OK ] LoopNest.TileWithTails (87 ms)
2023-01-11T22:12:53.4909016Z [ RUN      ] LoopNest.TileInMiddle
2023-01-11T22:12:53.6328037Z [       OK ] LoopNest.TileInMiddle (141 ms)
2023-01-11T22:12:53.6328481Z [ RUN      ] LoopNest.SplitWithTailWithLoopOptions
2023-01-11T22:12:53.6328857Z [       OK ] LoopNest.SplitWithTailWithLoopOptions (0 ms)
2023-01-11T22:12:53.6329246Z [ RUN      ] LoopNest.SplitWithMaskWithLoopOptions
2023-01-11T22:12:53.6329612Z [       OK ] LoopNest.SplitWithMaskWithLoopOptions (0 ms)
2023-01-11T22:12:53.6329957Z [ RUN      ] LoopNest.ScheduleBroadcastAddBuffer
2023-01-11T22:12:53.6347398Z [       OK ] LoopNest.ScheduleBroadcastAddBuffer (1 ms)
2023-01-11T22:12:53.6347837Z [ RUN      ] LoopNest.ScheduleFunctionCall01
2023-01-11T22:12:53.6425211Z [       OK ] LoopNest.ScheduleFunctionCall01 (7 ms)
2023-01-11T22:12:53.6425615Z [ RUN      ] LoopNest.ScheduleInlineSimple
2023-01-11T22:12:53.6545030Z [       OK ] LoopNest.ScheduleInlineSimple (11 ms)
2023-01-11T22:12:53.6545419Z [ RUN      ] LoopNest.ScheduleInlineFunc01
2023-01-11T22:12:53.7105482Z [       OK ] LoopNest.ScheduleInlineFunc01 (55 ms)
2023-01-11T22:12:53.7106058Z [ RUN      ] LoopNest.ScheduleInlineRandom
2023-01-11T22:12:53.7109750Z [       OK ] LoopNest.ScheduleInlineRandom (0 ms)
2023-01-11T22:12:53.7110385Z [ RUN      ] LoopNest.ScheduleInlineRandomUnrelated
2023-01-11T22:12:53.7114280Z [       OK ] LoopNest.ScheduleInlineRandomUnrelated (0 ms)
2023-01-11T22:12:53.7114995Z [ RUN      ] LoopNest.ScheduleInlineRandomLowerDimensions
2023-01-11T22:12:53.7118025Z [       OK ] LoopNest.ScheduleInlineRandomLowerDimensions (0 ms)
2023-01-11T22:12:53.7118710Z [ RUN      ] LoopNest.ScheduleInlineIntrinsics
2023-01-11T22:12:53.7207384Z [       OK ] LoopNest.ScheduleInlineIntrinsics (8 ms)
2023-01-11T22:12:53.7208052Z [ RUN      ] LoopNest.ScheduleInlineRandWithIntrinsics
2023-01-11T22:12:53.7211062Z [       OK ] LoopNest.ScheduleInlineRandWithIntrinsics (0 ms)
2023-01-11T22:12:53.7211691Z [ RUN      ] LoopNest.ScheduleSplitAThenInline
2023-01-11T22:12:53.7212675Z [       OK ] LoopNest.ScheduleSplitAThenInline (0 ms)
2023-01-11T22:12:53.7213287Z [ RUN      ] LoopNest.ScheduleSplitBThenInline
2023-01-11T22:12:53.7217896Z [       OK ] LoopNest.ScheduleSplitBThenInline (0 ms)
2023-01-11T22:12:53.7218527Z [ RUN      ] LoopNest.ScheduleSplitTwiceThenInline
2023-01-11T22:12:53.7219340Z [       OK ] LoopNest.ScheduleSplitTwiceThenInline (0 ms)
2023-01-11T22:12:53.7219942Z [ RUN      ] LoopNest.ScheduleInlineThenSplit
2023-01-11T22:12:53.7224038Z [       OK ] LoopNest.ScheduleInlineThenSplit (0 ms)
2023-01-11T22:12:53.7224693Z [ RUN      ] LoopNest.ScheduleSplitInlineThenSplit
2023-01-11T22:12:53.7231918Z [       OK ] LoopNest.ScheduleSplitInlineThenSplit (0 ms)
2023-01-11T22:12:53.7232290Z [ RUN      ] LoopNest.ScheduleSplitInlineSimplify
2023-01-11T22:12:53.7237362Z [       OK ] LoopNest.ScheduleSplitInlineSimplify (0 ms)
2023-01-11T22:12:53.7238036Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedOnce
2023-01-11T22:12:53.7243203Z [       OK ] LoopNest.ScheduleInlineThreeMixedOnce (0 ms)
2023-01-11T22:12:53.7244099Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedTwice
2023-01-11T22:12:53.7248546Z [       OK ] LoopNest.ScheduleInlineThreeMixedTwice (0 ms)
2023-01-11T22:12:53.7249235Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedInner
2023-01-11T22:12:53.7254160Z [       OK ] LoopNest.ScheduleInlineThreeMixedInner (0 ms)
2023-01-11T22:12:53.7255050Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedSplit
2023-01-11T22:12:53.7256549Z [       OK ] LoopNest.ScheduleInlineThreeMixedSplit (0 ms)
2023-01-11T22:12:53.7257259Z [ RUN      ] LoopNest.ScheduleInlineOutputTensors
2023-01-11T22:12:53.7261916Z [       OK ] LoopNest.ScheduleInlineOutputTensors (0 ms)
2023-01-11T22:12:53.7262424Z [ RUN      ] LoopNest.ScheduleInlineWithCompoundIndices
2023-01-11T22:12:53.7275488Z [       OK ] LoopNest.ScheduleInlineWithCompoundIndices (1 ms)
2023-01-11T22:12:53.7276216Z [ RUN      ] LoopNest.ScheduleInlineConsumerIndicesWithCast
2023-01-11T22:12:53.7276956Z [       OK ] LoopNest.ScheduleInlineConsumerIndicesWithCast (0 ms)
2023-01-11T22:12:53.7277686Z [ RUN      ] LoopNest.ScheduleInlineProducerIndicesWithCast
2023-01-11T22:12:53.7278483Z [       OK ] LoopNest.ScheduleInlineProducerIndicesWithCast (0 ms)
2023-01-11T22:12:53.7279125Z [ RUN      ] LoopNest.ScheduleFuserStyle
2023-01-11T22:12:53.7325638Z [       OK ] LoopNest.ScheduleFuserStyle (4 ms)
2023-01-11T22:12:53.7326168Z [ RUN      ] LoopNest.ScheduleFuserThreeArg
2023-01-11T22:12:53.7381139Z [       OK ] LoopNest.ScheduleFuserThreeArg (5 ms)
2023-01-11T22:12:53.7381717Z [ RUN      ] LoopNest.ScheduleDynamicShape2D
2023-01-11T22:12:53.7497081Z [       OK ] LoopNest.ScheduleDynamicShape2D (11 ms)
2023-01-11T22:12:53.7497665Z [ RUN      ] LoopNest.LoopNestComputeAt_1
2023-01-11T22:12:53.7505644Z [       OK ] LoopNest.LoopNestComputeAt_1 (0 ms)
2023-01-11T22:12:53.7506242Z [ RUN      ] LoopNest.LoopNestComputeAt_2
2023-01-11T22:12:53.7995183Z [       OK ] LoopNest.LoopNestComputeAt_2 (48 ms)
2023-01-11T22:12:53.7995530Z [ RUN      ] LoopNest.LoopNestComputeAt_3
2023-01-11T22:12:53.8484625Z [       OK ] LoopNest.LoopNestComputeAt_3 (48 ms)
2023-01-11T22:12:53.8484953Z [ RUN      ] LoopNest.Reduce2dComputeAt
2023-01-11T22:12:53.9301156Z [       OK ] LoopNest.Reduce2dComputeAt (81 ms)
2023-01-11T22:12:53.9301539Z [ RUN      ] LoopNest.LoopNestReorderAxis1
2023-01-11T22:12:53.9302911Z [       OK ] LoopNest.LoopNestReorderAxis1 (0 ms)
2023-01-11T22:12:53.9303256Z [ RUN      ] LoopNest.LoopNestReorderPartialAxes
2023-01-11T22:12:53.9312619Z [       OK ] LoopNest.LoopNestReorderPartialAxes (0 ms)
2023-01-11T22:12:53.9312990Z [ RUN      ] LoopNest.LoopNestReorderInternalAxis
2023-01-11T22:12:53.9321878Z [       OK ] LoopNest.LoopNestReorderInternalAxis (0 ms)
2023-01-11T22:12:53.9322248Z [ RUN      ] LoopNest.LoopNestReorderEnclosingAxis
2023-01-11T22:12:53.9331482Z [       OK ] LoopNest.LoopNestReorderEnclosingAxis (0 ms)
2023-01-11T22:12:53.9331976Z [ RUN      ] LoopNest.LoopNestReorderSameAxis
2023-01-11T22:12:53.9332406Z [       OK ] LoopNest.LoopNestReorderSameAxis (0 ms)
2023-01-11T22:12:53.9332771Z [ RUN      ] LoopNest.LoopNestReorderExtraStatements
2023-01-11T22:12:53.9346404Z [       OK ] LoopNest.LoopNestReorderExtraStatements (1 ms)
2023-01-11T22:12:53.9346819Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPreOrphans
2023-01-11T22:12:53.9888896Z [       OK ] LoopNest.LoopNestReorderLongStringOfPreOrphans (54 ms)
2023-01-11T22:12:53.9889344Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPostOrphans
2023-01-11T22:12:54.0439489Z [       OK ] LoopNest.LoopNestReorderLongStringOfPostOrphans (55 ms)
2023-01-11T22:12:54.0440161Z [ RUN      ] LoopNest.LoopNestReorderLongStringFull
2023-01-11T22:12:54.1123540Z [       OK ] LoopNest.LoopNestReorderLongStringFull (68 ms)
2023-01-11T22:12:54.1124002Z [ RUN      ] LoopNest.LoopNestReorderInternalLoopNest
2023-01-11T22:12:54.1237200Z [       OK ] LoopNest.LoopNestReorderInternalLoopNest (11 ms)
2023-01-11T22:12:54.1237811Z [ RUN      ] LoopNest.OuterLoopVectorization
2023-01-11T22:12:54.1238493Z [       OK ] LoopNest.OuterLoopVectorization (0 ms)
2023-01-11T22:12:54.1239073Z [ RUN      ] LoopNest.VectorizeLoopNotNormalized
2023-01-11T22:12:54.1240639Z [       OK ] LoopNest.VectorizeLoopNotNormalized (0 ms)
2023-01-11T22:12:54.1241177Z [ RUN      ] LoopNest.Unroll
2023-01-11T22:12:54.1241647Z [       OK ] LoopNest.Unroll (0 ms)
2023-01-11T22:12:54.1242020Z [ RUN      ] LoopNest.UnrollOuter
2023-01-11T22:12:54.1243053Z [       OK ] LoopNest.UnrollOuter (0 ms)
2023-01-11T22:12:54.1243712Z [ RUN      ] LoopNest.UnrollInner
2023-01-11T22:12:54.1244536Z [       OK ] LoopNest.UnrollInner (0 ms)
2023-01-11T22:12:54.1245120Z [ RUN      ] LoopNest.UnrollMultipleStatements
2023-01-11T22:12:54.1245791Z [       OK ] LoopNest.UnrollMultipleStatements (0 ms)
2023-01-11T22:12:54.1246430Z [ RUN      ] LoopNest.UnrollNonLiteralConstantBounds
2023-01-11T22:12:54.1247504Z [       OK ] LoopNest.UnrollNonLiteralConstantBounds (0 ms)
2023-01-11T22:12:54.1248109Z [ RUN      ] LoopNest.UnrollNonConstantBounds
2023-01-11T22:12:54.1262288Z [       OK ] LoopNest.UnrollNonConstantBounds (1 ms)
2023-01-11T22:12:54.1262786Z [ RUN      ] LoopNest.UnrollByFactorsLessThan2
2023-01-11T22:12:54.1263146Z [       OK ] LoopNest.UnrollByFactorsLessThan2 (0 ms)
2023-01-11T22:12:54.1263493Z [ RUN      ] LoopNest.UnrollByFactorEqualToIters
2023-01-11T22:12:54.1265110Z [       OK ] LoopNest.UnrollByFactorEqualToIters (0 ms)
2023-01-11T22:12:54.1265790Z [ RUN      ] LoopNest.UnrollEmpty
2023-01-11T22:12:54.1266228Z [       OK ] LoopNest.UnrollEmpty (0 ms)
2023-01-11T22:12:54.1266728Z [ RUN      ] LoopNest.NoUnroll
2023-01-11T22:12:54.1267066Z [       OK ] LoopNest.NoUnroll (0 ms)
2023-01-11T22:12:54.1267347Z [ RUN      ] LoopNest.UnrollWithLet
2023-01-11T22:12:54.1268550Z [       OK ] LoopNest.UnrollWithLet (0 ms)
2023-01-11T22:12:54.1269059Z [ RUN      ] LoopNest.IsNormalized
2023-01-11T22:12:54.1269505Z [       OK ] LoopNest.IsNormalized (0 ms)
2023-01-11T22:12:54.1269970Z [ RUN      ] LoopNest.NormalizeStartPositive
2023-01-11T22:12:54.1270508Z [       OK ] LoopNest.NormalizeStartPositive (0 ms)
2023-01-11T22:12:54.1270843Z [ RUN      ] LoopNest.NormalizeStartNegative
2023-01-11T22:12:54.1273049Z [       OK ] LoopNest.NormalizeStartNegative (0 ms)
2023-01-11T22:12:54.1273549Z [ RUN      ] LoopNest.NormalizeStartZero
2023-01-11T22:12:54.1273865Z [       OK ] LoopNest.NormalizeStartZero (0 ms)
2023-01-11T22:12:54.1274253Z [ RUN      ] LoopNest.NormalizeStartVariable
2023-01-11T22:12:54.1277015Z [       OK ] LoopNest.NormalizeStartVariable (0 ms)
2023-01-11T22:12:54.1277393Z [ RUN      ] LoopNest.NormalizeOnNestedOuterLoop
2023-01-11T22:12:54.1278915Z [       OK ] LoopNest.NormalizeOnNestedOuterLoop (0 ms)
2023-01-11T22:12:54.1279327Z [ RUN      ] LoopNest.NormalizeOnNestedInnerLoop
2023-01-11T22:12:54.1281184Z [       OK ] LoopNest.NormalizeOnNestedInnerLoop (0 ms)
2023-01-11T22:12:54.1281601Z [ RUN      ] LoopNest.NormalizeAndSplitWithTail
2023-01-11T22:12:54.1285275Z [       OK ] LoopNest.NormalizeAndSplitWithTail (0 ms)
2023-01-11T22:12:54.1285623Z [ RUN      ] LoopNest.NotNormalizeAndSplitWithTail
2023-01-11T22:12:54.1290427Z [       OK ] LoopNest.NotNormalizeAndSplitWithTail (0 ms)
2023-01-11T22:12:54.1290883Z [ RUN      ] LoopNest.FlattenSimpleLoopNest2D
2023-01-11T22:12:54.1299980Z [       OK ] LoopNest.FlattenSimpleLoopNest2D (0 ms)
2023-01-11T22:12:54.1300322Z [ RUN      ] LoopNest.FlattenSimpleLoopNest3D
2023-01-11T22:12:54.1381233Z [       OK ] LoopNest.FlattenSimpleLoopNest3D (8 ms)
2023-01-11T22:12:54.1381739Z [ RUN      ] LoopNest.FlattenLoopNestAfterNormalize
2023-01-11T22:12:54.1406597Z [       OK ] LoopNest.FlattenLoopNestAfterNormalize (2 ms)
2023-01-11T22:12:54.1407043Z [ RUN      ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds
2023-01-11T22:12:54.1418304Z [       OK ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds (1 ms)
2023-01-11T22:12:54.1418837Z [ RUN      ] LoopNest.FlattenImperfectLoopNest
2023-01-11T22:12:54.1419408Z [       OK ] LoopNest.FlattenImperfectLoopNest (0 ms)
2023-01-11T22:12:54.1419783Z [ RUN      ] LoopNest.FlattenReductionLoopNest
2023-01-11T22:12:54.1420177Z [       OK ] LoopNest.FlattenReductionLoopNest (0 ms)
2023-01-11T22:12:54.1420572Z [ RUN      ] LoopNest.FlattenReductionLoopNestFromTensor
2023-01-11T22:12:54.1421018Z [       OK ] LoopNest.FlattenReductionLoopNestFromTensor (0 ms)
2023-01-11T22:12:54.1421397Z [ RUN      ] LoopNest.FlattenIncorrectLoopsAsInput
2023-01-11T22:12:54.1421847Z [       OK ] LoopNest.FlattenIncorrectLoopsAsInput (0 ms)
2023-01-11T22:12:54.1422231Z [ RUN      ] LoopNest.DetectInlineRankMismatch
2023-01-11T22:12:54.1422602Z [       OK ] LoopNest.DetectInlineRankMismatch (0 ms)
2023-01-11T22:12:54.1422916Z [ RUN      ] LoopNest.CacheReadsSimple
2023-01-11T22:12:54.1779587Z [       OK ] LoopNest.CacheReadsSimple (35 ms)
2023-01-11T22:12:54.1779920Z [ RUN      ] LoopNest.CacheReadsOuter
2023-01-11T22:12:54.2164573Z [       OK ] LoopNest.CacheReadsOuter (38 ms)
2023-01-11T22:12:54.2164890Z [ RUN      ] LoopNest.CacheReadsInternal
2023-01-11T22:12:54.2576484Z [       OK ] LoopNest.CacheReadsInternal (41 ms)
2023-01-11T22:12:54.2576872Z [ RUN      ] LoopNest.CacheReadsInner
2023-01-11T22:12:54.3223219Z [       OK ] LoopNest.CacheReadsInner (64 ms)
2023-01-11T22:12:54.3223552Z [ RUN      ] LoopNest.CacheWritesSimple
2023-01-11T22:12:54.3950196Z [       OK ] LoopNest.CacheWritesSimple (72 ms)
2023-01-11T22:12:54.3950544Z [ RUN      ] LoopNest.DeadStoreElimination
2023-01-11T22:12:54.3963801Z [       OK ] LoopNest.DeadStoreElimination (1 ms)
2023-01-11T22:12:54.3964192Z [ RUN      ] LoopNest.DeadStoreEliminationWithIntermediates
2023-01-11T22:12:54.3975439Z [       OK ] LoopNest.DeadStoreEliminationWithIntermediates (1 ms)
2023-01-11T22:12:54.3975819Z [ RUN      ] LoopNest.CompoundTensorSimple
2023-01-11T22:12:54.3988038Z [       OK ] LoopNest.CompoundTensorSimple (1 ms)
2023-01-11T22:12:54.3988367Z [ RUN      ] LoopNest.InlineConstantIndex
2023-01-11T22:12:54.3991427Z [       OK ] LoopNest.InlineConstantIndex (0 ms)
2023-01-11T22:12:54.3991739Z [ RUN      ] LoopNest.CompoundTensorUsed
2023-01-11T22:12:54.4013549Z [       OK ] LoopNest.CompoundTensorUsed (2 ms)
2023-01-11T22:12:54.4013893Z [ RUN      ] LoopNest.InlineFromLoad
2023-01-11T22:12:54.4014211Z [       OK ] LoopNest.InlineFromLoad (0 ms)
2023-01-11T22:12:54.4014525Z [ RUN      ] LoopNest.OptimizeConditionalsSimple
2023-01-11T22:12:54.4015660Z [       OK ] LoopNest.OptimizeConditionalsSimple (0 ms)
2023-01-11T22:12:54.4016058Z [ RUN      ] LoopNest.OptimizeConditionalsNestedConditions
2023-01-11T22:12:54.4018338Z [       OK ] LoopNest.OptimizeConditionalsNestedConditions (0 ms)
2023-01-11T22:12:54.4018735Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStores
2023-01-11T22:12:54.4021267Z [       OK ] LoopNest.OptimizeConditionalsMultipleStores (0 ms)
2023-01-11T22:12:54.4021718Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop
2023-01-11T22:12:54.4025848Z [       OK ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop (0 ms)
2023-01-11T22:12:54.4026274Z [ RUN      ] LoopNest.OptimizeConditionalsOuterLoopVar
2023-01-11T22:12:54.4029589Z [       OK ] LoopNest.OptimizeConditionalsOuterLoopVar (0 ms)
2023-01-11T22:12:54.4030020Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotOrdered
2023-01-11T22:12:54.4032989Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotOrdered (0 ms)
2023-01-11T22:12:54.4033669Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotConstants
2023-01-11T22:12:54.4036351Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotConstants (0 ms)
2023-01-11T22:12:54.4036984Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition
2023-01-11T22:12:54.4039570Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition (0 ms)
2023-01-11T22:12:54.4040205Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition2
2023-01-11T22:12:54.4042964Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition2 (0 ms)
2023-01-11T22:12:54.4043738Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition3
2023-01-11T22:12:54.4046207Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition3 (0 ms)
2023-01-11T22:12:54.4046834Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition4
2023-01-11T22:12:54.4048909Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition4 (0 ms)
2023-01-11T22:12:54.4049547Z [ RUN      ] LoopNest.OptimizeConditionalsNotNormalized
2023-01-11T22:12:54.4050496Z [       OK ] LoopNest.OptimizeConditionalsNotNormalized (0 ms)
2023-01-11T22:12:54.4051135Z [ RUN      ] LoopNest.ColReduceSplitTailEvenReorder
2023-01-11T22:12:54.5491161Z [       OK ] LoopNest.ColReduceSplitTailEvenReorder (143 ms)
2023-01-11T22:12:54.5491585Z [ RUN      ] LoopNest.ColReduceSplitTailUnevenReorder
2023-01-11T22:12:54.6630598Z [       OK ] LoopNest.ColReduceSplitTailUnevenReorder (114 ms)
2023-01-11T22:12:54.6631024Z [ RUN      ] LoopNest.ColReduceSplitMaskEvenReorder
2023-01-11T22:12:54.8075384Z [       OK ] LoopNest.ColReduceSplitMaskEvenReorder (144 ms)
2023-01-11T22:12:54.8076218Z [ RUN      ] LoopNest.ColReduceSplitMaskUnevenReorder
2023-01-11T22:12:54.9376164Z [       OK ] LoopNest.ColReduceSplitMaskUnevenReorder (130 ms)
2023-01-11T22:12:54.9376780Z [ RUN      ] LoopNest.ReorderAxisWithMultipleConds
2023-01-11T22:12:54.9378754Z [       OK ] LoopNest.ReorderAxisWithMultipleConds (0 ms)
2023-01-11T22:12:54.9379286Z [ RUN      ] LoopNest.VectorizeUse
2023-01-11T22:12:54.9380566Z [       OK ] LoopNest.VectorizeUse (0 ms)
2023-01-11T22:12:54.9381067Z [ RUN      ] LoopNest.Int64Direct
2023-01-11T22:12:54.9394744Z [       OK ] LoopNest.Int64Direct (0 ms)
2023-01-11T22:12:54.9395257Z [ RUN      ] LoopNest.Int64Compute
2023-01-11T22:12:54.9395739Z [       OK ] LoopNest.Int64Compute (0 ms)
2023-01-11T22:12:54.9396338Z [ RUN      ] LoopNest.DistributeLoopWithAllStmtsAsPivots
2023-01-11T22:12:54.9397005Z [       OK ] LoopNest.DistributeLoopWithAllStmtsAsPivots (0 ms)
2023-01-11T22:12:54.9397682Z [ RUN      ] LoopNest.DistributeLoopWithOneStmtAsPivot
2023-01-11T22:12:54.9398351Z [       OK ] LoopNest.DistributeLoopWithOneStmtAsPivot (0 ms)
2023-01-11T22:12:54.9399039Z [ RUN      ] LoopNest.DistributeLoopWithoutAnyPivot
2023-01-11T22:12:54.9399699Z [       OK ] LoopNest.DistributeLoopWithoutAnyPivot (0 ms)
2023-01-11T22:12:54.9400353Z [ RUN      ] LoopNest.DistributeLoopOverInnerLoops
2023-01-11T22:12:54.9401262Z [       OK ] LoopNest.DistributeLoopOverInnerLoops (0 ms)
2023-01-11T22:12:54.9401989Z [ RUN      ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot
2023-01-11T22:12:54.9402790Z [       OK ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot (0 ms)
2023-01-11T22:12:54.9403722Z [ RUN      ] LoopNest.fuseLoopsSimple
2023-01-11T22:12:54.9404269Z [       OK ] LoopNest.fuseLoopsSimple (0 ms)
2023-01-11T22:12:54.9404921Z [ RUN      ] LoopNest.fuseLoopsMultiple
2023-01-11T22:12:54.9405464Z [       OK ] LoopNest.fuseLoopsMultiple (0 ms)
2023-01-11T22:12:54.9406000Z [ RUN      ] LoopNest.fuseLoopsNested
2023-01-11T22:12:54.9408734Z [       OK ] LoopNest.fuseLoopsNested (0 ms)
2023-01-11T22:12:54.9409286Z [ RUN      ] LoopNest.fuseLoopsNested2D
2023-01-11T22:12:54.9412891Z [       OK ] LoopNest.fuseLoopsNested2D (0 ms)
2023-01-11T22:12:54.9413487Z [ RUN      ] LoopNest.fuseLoopsNested2DInner
2023-01-11T22:12:54.9415852Z [       OK ] LoopNest.fuseLoopsNested2DInner (0 ms)
2023-01-11T22:12:54.9416544Z [ RUN      ] LoopNest.fuseLoopsDifferentStopBounds
2023-01-11T22:12:54.9417060Z [       OK ] LoopNest.fuseLoopsDifferentStopBounds (0 ms)
2023-01-11T22:12:54.9417501Z [ RUN      ] LoopNest.fuseLoopsDifferentStartBounds
2023-01-11T22:12:54.9417899Z [       OK ] LoopNest.fuseLoopsDifferentStartBounds (0 ms)
2023-01-11T22:12:54.9418524Z [ RUN      ] LoopNest.fuseLoopsNotContiguous
2023-01-11T22:12:54.9419012Z [       OK ] LoopNest.fuseLoopsNotContiguous (0 ms)
2023-01-11T22:12:54.9419349Z [ RUN      ] LoopNest.fuseLoopsWithDifferentParents
2023-01-11T22:12:54.9419719Z [       OK ] LoopNest.fuseLoopsWithDifferentParents (0 ms)
2023-01-11T22:12:54.9420078Z [ RUN      ] LoopNest.fuseLoopsWithVariableBounds
2023-01-11T22:12:54.9421253Z [       OK ] LoopNest.fuseLoopsWithVariableBounds (0 ms)
2023-01-11T22:12:54.9421608Z [ RUN      ] LoopNest.fuseLoopsWithExprBounds
2023-01-11T22:12:54.9426164Z [       OK ] LoopNest.fuseLoopsWithExprBounds (0 ms)
2023-01-11T22:12:54.9426525Z [ RUN      ] LoopNest.fuseLoopsWithDifferentExprBounds
2023-01-11T22:12:54.9430024Z [       OK ] LoopNest.fuseLoopsWithDifferentExprBounds (0 ms)
2023-01-11T22:12:54.9430457Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses
2023-01-11T22:12:54.9434251Z [       OK ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses (0 ms)
2023-01-11T22:12:54.9434702Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses
2023-01-11T22:12:54.9441882Z [       OK ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses (0 ms)
2023-01-11T22:12:54.9442278Z [ RUN      ] LoopNest.fuseLoopsWithReductions
2023-01-11T22:12:54.9447044Z [       OK ] LoopNest.fuseLoopsWithReductions (0 ms)
2023-01-11T22:12:54.9447374Z [ RUN      ] LoopNest.fuseLoopsWith2DReductions
2023-01-11T22:12:54.9455917Z [       OK ] LoopNest.fuseLoopsWith2DReductions (0 ms)
2023-01-11T22:12:54.9456276Z [ RUN      ] LoopNest.fuseLoopsWithComplexIndices
2023-01-11T22:12:54.9463594Z [       OK ] LoopNest.fuseLoopsWithComplexIndices (0 ms)
2023-01-11T22:12:54.9463982Z [ RUN      ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices
2023-01-11T22:12:54.9474060Z [       OK ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices (1 ms)
2023-01-11T22:12:54.9474491Z [ RUN      ] LoopNest.fuseLoopsWithTranspose
2023-01-11T22:12:54.9479586Z [       OK ] LoopNest.fuseLoopsWithTranspose (0 ms)
2023-01-11T22:12:54.9479955Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies1
2023-01-11T22:12:54.9484204Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies1 (0 ms)
2023-01-11T22:12:54.9484604Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies2
2023-01-11T22:12:54.9488199Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies2 (0 ms)
2023-01-11T22:12:54.9488749Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies3
2023-01-11T22:12:54.9495900Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies3 (0 ms)
2023-01-11T22:12:54.9496319Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies4
2023-01-11T22:12:54.9505436Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies4 (0 ms)
2023-01-11T22:12:54.9505923Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies5
2023-01-11T22:12:54.9510137Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies5 (0 ms)
2023-01-11T22:12:54.9510544Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies6
2023-01-11T22:12:54.9515022Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies6 (0 ms)
2023-01-11T22:12:54.9515461Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies7
2023-01-11T22:12:54.9520249Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies7 (0 ms)
2023-01-11T22:12:54.9520887Z [ RUN      ] LoopNest.areLoopsPerfectlyNested
2023-01-11T22:12:54.9521523Z [       OK ] LoopNest.areLoopsPerfectlyNested (0 ms)
2023-01-11T22:12:54.9522121Z [ RUN      ] LoopNest.reorderNestedLoops2D
2023-01-11T22:12:54.9522967Z [       OK ] LoopNest.reorderNestedLoops2D (0 ms)
2023-01-11T22:12:54.9523696Z [ RUN      ] LoopNest.reorderNestedLoops3D
2023-01-11T22:12:54.9524257Z [       OK ] LoopNest.reorderNestedLoops3D (0 ms)
2023-01-11T22:12:54.9524804Z [ RUN      ] LoopNest.reorderNestedLoops4D
2023-01-11T22:12:54.9525354Z [       OK ] LoopNest.reorderNestedLoops4D (0 ms)
2023-01-11T22:12:54.9525963Z [ RUN      ] LoopNest.reorderTrivialPermutation
2023-01-11T22:12:54.9526572Z [       OK ] LoopNest.reorderTrivialPermutation (0 ms)
2023-01-11T22:12:54.9527173Z [ RUN      ] LoopNest.reorderInvalidPermutations
2023-01-11T22:12:54.9527840Z [       OK ] LoopNest.reorderInvalidPermutations (0 ms)
2023-01-11T22:12:54.9528438Z [ RUN      ] LoopNest.reorderInvalidLoopNest
2023-01-11T22:12:54.9529036Z [       OK ] LoopNest.reorderInvalidLoopNest (0 ms)
2023-01-11T22:12:54.9529622Z [ RUN      ] LoopNest.compressBufferSimple
2023-01-11T22:12:54.9530206Z [       OK ] LoopNest.compressBufferSimple (0 ms)
2023-01-11T22:12:54.9530822Z [ RUN      ] LoopNest.compressBufferMultipleDims
2023-01-11T22:12:54.9531277Z [       OK ] LoopNest.compressBufferMultipleDims (0 ms)
2023-01-11T22:12:54.9531633Z [ RUN      ] LoopNest.compressBufferMultipleDims2
2023-01-11T22:12:54.9531991Z [       OK ] LoopNest.compressBufferMultipleDims2 (0 ms)
2023-01-11T22:12:54.9532358Z [ RUN      ] LoopNest.compressBufferDifferentOrderIndices
2023-01-11T22:12:54.9532765Z [       OK ] LoopNest.compressBufferDifferentOrderIndices (0 ms)
2023-01-11T22:12:54.9533143Z [ RUN      ] LoopNest.compressBufferVariableBounds
2023-01-11T22:12:54.9533587Z [       OK ] LoopNest.compressBufferVariableBounds (0 ms)
2023-01-11T22:12:54.9533963Z [ RUN      ] LoopNest.compressBufferNoCommonParentLoops
2023-01-11T22:12:54.9534358Z [       OK ] LoopNest.compressBufferNoCommonParentLoops (0 ms)
2023-01-11T22:12:54.9534730Z [ RUN      ] LoopNest.compressBufferIndicesMixed
2023-01-11T22:12:54.9535068Z [       OK ] LoopNest.compressBufferIndicesMixed (0 ms)
2023-01-11T22:12:54.9535413Z [ RUN      ] LoopNest.compressMultipleBuffers
2023-01-11T22:12:54.9535759Z [       OK ] LoopNest.compressMultipleBuffers (0 ms)
2023-01-11T22:12:54.9536052Z [ RUN      ] LoopNest.sanitizeNames
2023-01-11T22:12:54.9543121Z [       OK ] LoopNest.sanitizeNames (1 ms)
2023-01-11T22:12:54.9543718Z [----------] 174 tests from LoopNest (1656 ms total)
2023-01-11T22:12:54.9543963Z 
2023-01-11T22:12:54.9544115Z [----------] 31 tests from MemDependency
2023-01-11T22:12:54.9544542Z [ RUN      ] MemDependency.BoundOverlap
2023-01-11T22:12:54.9553662Z [       OK ] MemDependency.BoundOverlap (1 ms)
2023-01-11T22:12:54.9554049Z [ RUN      ] MemDependency.BoundComparison
2023-01-11T22:12:54.9561720Z [       OK ] MemDependency.BoundComparison (0 ms)
2023-01-11T22:12:54.9562164Z [ RUN      ] MemDependency.BoundOverlapSymbolic
2023-01-11T22:12:54.9570523Z [       OK ] MemDependency.BoundOverlapSymbolic (0 ms)
2023-01-11T22:12:54.9570881Z [ RUN      ] MemDependency.BoundOverlapMultiDim
2023-01-11T22:12:54.9578790Z [       OK ] MemDependency.BoundOverlapMultiDim (0 ms)
2023-01-11T22:12:54.9579125Z [ RUN      ] MemDependency.BoundSubtract
2023-01-11T22:12:54.9585714Z [       OK ] MemDependency.BoundSubtract (0 ms)
2023-01-11T22:12:54.9586086Z [ RUN      ] MemDependency.BoundSubtractSymbolic
2023-01-11T22:12:54.9606646Z [       OK ] MemDependency.BoundSubtractSymbolic (2 ms)
2023-01-11T22:12:54.9607027Z [ RUN      ] MemDependency.BoundSubtractMultiDim
2023-01-11T22:12:54.9630357Z [       OK ] MemDependency.BoundSubtractMultiDim (2 ms)
2023-01-11T22:12:54.9630736Z [ RUN      ] MemDependency.BoundSubtractMultiDimSymbolic
2023-01-11T22:12:54.9662252Z [       OK ] MemDependency.BoundSubtractMultiDimSymbolic (3 ms)
2023-01-11T22:12:54.9662761Z [ RUN      ] MemDependency.MemDependencyCheckerSimple
2023-01-11T22:12:54.9663362Z [       OK ] MemDependency.MemDependencyCheckerSimple (0 ms)
2023-01-11T22:12:54.9663953Z [ RUN      ] MemDependency.MemDependencyCheckerMultiStmt
2023-01-11T22:12:54.9664706Z [       OK ] MemDependency.MemDependencyCheckerMultiStmt (0 ms)
2023-01-11T22:12:54.9665119Z [ RUN      ] MemDependency.MemDependencyCheckerOverlap
2023-01-11T22:12:54.9665500Z [       OK ] MemDependency.MemDependencyCheckerOverlap (0 ms)
2023-01-11T22:12:54.9666025Z [ RUN      ] MemDependency.MemDependencyCheckerLoop
2023-01-11T22:12:54.9666454Z [       OK ] MemDependency.MemDependencyCheckerLoop (0 ms)
2023-01-11T22:12:54.9666843Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduce
2023-01-11T22:12:54.9668684Z [       OK ] MemDependency.MemDependencyCheckerLoopReduce (0 ms)
2023-01-11T22:12:54.9669149Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduceExpanded
2023-01-11T22:12:54.9671240Z [       OK ] MemDependency.MemDependencyCheckerLoopReduceExpanded (0 ms)
2023-01-11T22:12:54.9671765Z [ RUN      ] MemDependency.MemDependencyCheckerInputsOutputs
2023-01-11T22:12:54.9672936Z [       OK ] MemDependency.MemDependencyCheckerInputsOutputs (0 ms)
2023-01-11T22:12:54.9673571Z [ RUN      ] MemDependency.MemDependencyCheckerOutputDoesntDepend
2023-01-11T22:12:54.9674056Z [       OK ] MemDependency.MemDependencyCheckerOutputDoesntDepend (0 ms)
2023-01-11T22:12:54.9674611Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBounds
2023-01-11T22:12:54.9684851Z [       OK ] MemDependency.MemDependencyCheckerLoopBounds (1 ms)
2023-01-11T22:12:54.9685367Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift
2023-01-11T22:12:54.9711138Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift (2 ms)
2023-01-11T22:12:54.9711667Z [ RUN      ] MemDependency.MemDependencyCheckerLoopSelfDependency
2023-01-11T22:12:54.9842525Z [       OK ] MemDependency.MemDependencyCheckerLoopSelfDependency (13 ms)
2023-01-11T22:12:54.9843048Z [ RUN      ] MemDependency.MemDependencyCheckerLoopDistinctStrides
2023-01-11T22:12:54.9851606Z [       OK ] MemDependency.MemDependencyCheckerLoopDistinctStrides (0 ms)
2023-01-11T22:12:54.9852195Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsCond
2023-01-11T22:12:54.9867845Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsCond (1 ms)
2023-01-11T22:12:54.9868608Z [ RUN      ] MemDependency.MemDependencyCheckerIfThenElse
2023-01-11T22:12:54.9878984Z [       OK ] MemDependency.MemDependencyCheckerIfThenElse (1 ms)
2023-01-11T22:12:54.9879665Z [ RUN      ] MemDependency.MemDependencyCheckerCutLoop
2023-01-11T22:12:54.9897973Z [       OK ] MemDependency.MemDependencyCheckerCutLoop (1 ms)
2023-01-11T22:12:54.9898488Z [ RUN      ] MemDependency.MemDependencyCheckerDynamicShapes
2023-01-11T22:12:54.9924558Z [       OK ] MemDependency.MemDependencyCheckerDynamicShapes (2 ms)
2023-01-11T22:12:54.9925098Z [ RUN      ] MemDependency.MemDependencyCheckerMultiDim
2023-01-11T22:12:54.9957596Z [       OK ] MemDependency.MemDependencyCheckerMultiDim (3 ms)
2023-01-11T22:12:54.9958217Z [ RUN      ] MemDependency.MemDependencyCheckerComputeAPI
2023-01-11T22:12:54.9968041Z [       OK ] MemDependency.MemDependencyCheckerComputeAPI (1 ms)
2023-01-11T22:12:54.9968678Z [ RUN      ] MemDependency.MemDependencyCheckerComputeInline
2023-01-11T22:12:54.9975598Z [       OK ] MemDependency.MemDependencyCheckerComputeInline (0 ms)
2023-01-11T22:12:54.9976203Z [ RUN      ] MemDependency.MemDependencyCheckerComputeSplit
2023-01-11T22:12:54.9996474Z [       OK ] MemDependency.MemDependencyCheckerComputeSplit (2 ms)
2023-01-11T22:12:54.9997105Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReorder
2023-01-11T22:12:55.0009787Z [       OK ] MemDependency.MemDependencyCheckerComputeReorder (1 ms)
2023-01-11T22:12:55.0010417Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReduce
2023-01-11T22:12:55.0020440Z [       OK ] MemDependency.MemDependencyCheckerComputeReduce (1 ms)
2023-01-11T22:12:55.0020956Z [ RUN      ] MemDependency.MemDependencyCheckerComputeGEMM
2023-01-11T22:12:55.0176445Z [       OK ] MemDependency.MemDependencyCheckerComputeGEMM (15 ms)
2023-01-11T22:12:55.0177113Z [----------] 31 tests from MemDependency (63 ms total)
2023-01-11T22:12:55.0177282Z 
2023-01-11T22:12:55.0177413Z [----------] 2 tests from Ops
2023-01-11T22:12:55.0177633Z [ RUN      ] Ops.Sum
2023-01-11T22:12:55.0216433Z [       OK ] Ops.Sum (4 ms)
2023-01-11T22:12:55.0216909Z [ RUN      ] Ops.ChannelsLastSum
2023-01-11T22:12:55.1303108Z [       OK ] Ops.ChannelsLastSum (108 ms)
2023-01-11T22:12:55.1303750Z [----------] 2 tests from Ops (112 ms total)
2023-01-11T22:12:55.1303917Z 
2023-01-11T22:12:55.1304073Z [----------] 10 tests from Quantization
2023-01-11T22:12:55.1304371Z [ RUN      ] Quantization.QuantDequantInt8
2023-01-11T22:12:55.1567388Z [       OK ] Quantization.QuantDequantInt8 (26 ms)
2023-01-11T22:12:55.1567782Z [ RUN      ] Quantization.QuantDequantUInt8
2023-01-11T22:12:55.1823192Z [       OK ] Quantization.QuantDequantUInt8 (25 ms)
2023-01-11T22:12:55.1823617Z [ RUN      ] Quantization.QuantDequantUInt8_NLC
2023-01-11T22:12:55.2089130Z [       OK ] Quantization.QuantDequantUInt8_NLC (26 ms)
2023-01-11T22:12:55.2089482Z [ RUN      ] Quantization.QuantAddDequantInt8
2023-01-11T22:12:55.2387842Z [       OK ] Quantization.QuantAddDequantInt8 (29 ms)
2023-01-11T22:12:55.2388183Z [ RUN      ] Quantization.QuantAddDequantUInt8
2023-01-11T22:12:55.2686756Z [       OK ] Quantization.QuantAddDequantUInt8 (29 ms)
2023-01-11T22:12:55.2687150Z [ RUN      ] Quantization.QuantSigmoidDequantUInt8
2023-01-11T22:12:55.3024070Z [       OK ] Quantization.QuantSigmoidDequantUInt8 (33 ms)
2023-01-11T22:12:55.3024644Z [ RUN      ] Quantization.QuantMulDequantUInt8
2023-01-11T22:12:55.3480635Z [       OK ] Quantization.QuantMulDequantUInt8 (45 ms)
2023-01-11T22:12:55.3481260Z [ RUN      ] Quantization.QuantUpsampleNearst2dDequantUInt8
2023-01-11T22:12:55.3950310Z [       OK ] Quantization.QuantUpsampleNearst2dDequantUInt8 (46 ms)
2023-01-11T22:12:55.3951069Z [ RUN      ] Quantization.UpsampleNearst2d
2023-01-11T22:12:55.4249183Z [       OK ] Quantization.UpsampleNearst2d (29 ms)
2023-01-11T22:12:55.4249768Z [ RUN      ] Quantization.QuantCatDequantUInt8
2023-01-11T22:12:55.4846696Z [       OK ] Quantization.QuantCatDequantUInt8 (59 ms)
2023-01-11T22:12:55.4847699Z [----------] 10 tests from Quantization (354 ms total)
2023-01-11T22:12:55.4847979Z 
2023-01-11T22:12:55.4848243Z [----------] 2 tests from BufLiveRange
2023-01-11T22:12:55.4848748Z [ RUN      ] BufLiveRange.SingleRangeLine
2023-01-11T22:12:55.4849320Z [       OK ] BufLiveRange.SingleRangeLine (0 ms)
2023-01-11T22:12:55.4849862Z [ RUN      ] BufLiveRange.MulRangeLine
2023-01-11T22:12:55.4850389Z [       OK ] BufLiveRange.MulRangeLine (0 ms)
2023-01-11T22:12:55.4850957Z [----------] 2 tests from BufLiveRange (0 ms total)
2023-01-11T22:12:55.4851223Z 
2023-01-11T22:12:55.4851483Z [----------] 6 tests from MemPlanning
2023-01-11T22:12:55.4852024Z [ RUN      ] MemPlanning.MemReuseWithTypeCast
2023-01-11T22:12:55.5477480Z [       OK ] MemPlanning.MemReuseWithTypeCast (62 ms)
2023-01-11T22:12:55.5478290Z [ RUN      ] MemPlanning.NoMemReuseForLargerType
2023-01-11T22:12:55.6210039Z [       OK ] MemPlanning.NoMemReuseForLargerType (73 ms)
2023-01-11T22:12:55.6210844Z [ RUN      ] MemPlanning.SameBufSizeMemReuse
2023-01-11T22:12:55.8777518Z [       OK ] MemPlanning.SameBufSizeMemReuse (256 ms)
2023-01-11T22:12:55.8778186Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReuses
2023-01-11T22:12:56.1391247Z [       OK ] MemPlanning.SameBufSizeMultiMemReuses (261 ms)
2023-01-11T22:12:56.1392005Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf
2023-01-11T22:12:56.4796964Z [       OK ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf (340 ms)
2023-01-11T22:12:56.4797400Z [ RUN      ] MemPlanning.SmallerBufSizeNonMemReuse
2023-01-11T22:12:56.6256452Z [       OK ] MemPlanning.SmallerBufSizeNonMemReuse (145 ms)
2023-01-11T22:12:56.6257111Z [----------] 6 tests from MemPlanning (1140 ms total)
2023-01-11T22:12:56.6257311Z 
2023-01-11T22:12:56.6257472Z [----------] 45 tests from Reductions
2023-01-11T22:12:56.6257851Z [ RUN      ] Reductions.ReduceSum0D_1
2023-01-11T22:12:56.6258192Z [       OK ] Reductions.ReduceSum0D_1 (0 ms)
2023-01-11T22:12:56.6258522Z [ RUN      ] Reductions.ReduceSum0D_2
2023-01-11T22:12:56.6258844Z [       OK ] Reductions.ReduceSum0D_2 (0 ms)
2023-01-11T22:12:56.6259184Z [ RUN      ] Reductions.ReduceSum1D
2023-01-11T22:12:56.6259723Z [       OK ] Reductions.ReduceSum1D (0 ms)
2023-01-11T22:12:56.6260046Z [ RUN      ] Reductions.ReduceSum2D
2023-01-11T22:12:56.6263677Z [       OK ] Reductions.ReduceSum2D (0 ms)
2023-01-11T22:12:56.6264211Z [ RUN      ] Reductions.ReduceSum3D
2023-01-11T22:12:56.6296667Z [       OK ] Reductions.ReduceSum3D (3 ms)
2023-01-11T22:12:56.6296968Z [ RUN      ] Reductions.ReduceSum10D
2023-01-11T22:12:57.2987437Z [       OK ] Reductions.ReduceSum10D (668 ms)
2023-01-11T22:12:57.2987814Z [ RUN      ] Reductions.ReduceProduct
2023-01-11T22:12:57.2990387Z [       OK ] Reductions.ReduceProduct (0 ms)
2023-01-11T22:12:57.2990691Z [ RUN      ] Reductions.ReduceMax
2023-01-11T22:12:57.2994506Z [       OK ] Reductions.ReduceMax (0 ms)
2023-01-11T22:12:57.2994843Z [ RUN      ] Reductions.ReduceMinCustomInitializer
2023-01-11T22:12:57.2996463Z [       OK ] Reductions.ReduceMinCustomInitializer (0 ms)
2023-01-11T22:12:57.2996837Z [ RUN      ] Reductions.ReduceAnyAll
2023-01-11T22:12:57.3019698Z [       OK ] Reductions.ReduceAnyAll (2 ms)
2023-01-11T22:12:57.3020304Z [ RUN      ] Reductions.ReduceMatmul2D
2023-01-11T22:12:57.3029511Z [       OK ] Reductions.ReduceMatmul2D (0 ms)
2023-01-11T22:12:57.3029857Z [ RUN      ] Reductions.ReduceRfactorLike
2023-01-11T22:12:57.3040457Z [       OK ] Reductions.ReduceRfactorLike (1 ms)
2023-01-11T22:12:57.3040793Z [ RUN      ] Reductions.ReduceAsProducer
2023-01-11T22:12:57.3062236Z [       OK ] Reductions.ReduceAsProducer (2 ms)
2023-01-11T22:12:57.3062566Z [ RUN      ] Reductions.ReduceAsConsumer
2023-01-11T22:12:57.3096797Z [       OK ] Reductions.ReduceAsConsumer (3 ms)
2023-01-11T22:12:57.3097103Z [ RUN      ] Reductions.SplitReduceAxis
2023-01-11T22:12:57.3112716Z [       OK ] Reductions.SplitReduceAxis (1 ms)
2023-01-11T22:12:57.3113098Z [ RUN      ] Reductions.SplitNonReduceAxis
2023-01-11T22:12:57.3144905Z [       OK ] Reductions.SplitNonReduceAxis (3 ms)
2023-01-11T22:12:57.3145308Z [ RUN      ] Reductions.ReorderedReductionInitializer
2023-01-11T22:12:57.3183174Z [       OK ] Reductions.ReorderedReductionInitializer (3 ms)
2023-01-11T22:12:57.3183635Z [ RUN      ] Reductions.ReduceRfactor
2023-01-11T22:12:57.3194043Z [       OK ] Reductions.ReduceRfactor (1 ms)
2023-01-11T22:12:57.3194445Z [ RUN      ] Reductions.Reduce3DRfactorInner
2023-01-11T22:12:57.3320362Z [       OK ] Reductions.Reduce3DRfactorInner (12 ms)
2023-01-11T22:12:57.3320707Z [ RUN      ] Reductions.Reduce3DRfactorOuter
2023-01-11T22:12:57.3449473Z [       OK ] Reductions.Reduce3DRfactorOuter (12 ms)
2023-01-11T22:12:57.3449865Z [ RUN      ] Reductions.ReduceRepeatedInternalRfactor
2023-01-11T22:12:57.5222377Z [       OK ] Reductions.ReduceRepeatedInternalRfactor (177 ms)
2023-01-11T22:12:57.5222821Z [ RUN      ] Reductions.ReduceSplitTail
2023-01-11T22:12:57.5614327Z [       OK ] Reductions.ReduceSplitTail (39 ms)
2023-01-11T22:12:57.5614651Z [ RUN      ] Reductions.ReduceSplitNoTail
2023-01-11T22:12:57.6066379Z [       OK ] Reductions.ReduceSplitNoTail (45 ms)
2023-01-11T22:12:57.6066735Z [ RUN      ] Reductions.ReduceOverSplitTail
2023-01-11T22:12:57.6443938Z [       OK ] Reductions.ReduceOverSplitTail (37 ms)
2023-01-11T22:12:57.6444282Z [ RUN      ] Reductions.ReduceSplitMask
2023-01-11T22:12:57.6936021Z [       OK ] Reductions.ReduceSplitMask (49 ms)
2023-01-11T22:12:57.6936427Z [ RUN      ] Reductions.ReduceSplitNoMask
2023-01-11T22:12:57.7386643Z [       OK ] Reductions.ReduceSplitNoMask (44 ms)
2023-01-11T22:12:57.7386985Z [ RUN      ] Reductions.ReduceOverSplitMask
2023-01-11T22:12:57.7786841Z [       OK ] Reductions.ReduceOverSplitMask (40 ms)
2023-01-11T22:12:57.7787173Z [ RUN      ] Reductions.ReduceSplitRfactor
2023-01-11T22:12:57.7828189Z [       OK ] Reductions.ReduceSplitRfactor (4 ms)
2023-01-11T22:12:57.7828550Z [ RUN      ] Reductions.ReduceOverSplitRfactor
2023-01-11T22:12:57.7842538Z [       OK ] Reductions.ReduceOverSplitRfactor (1 ms)
2023-01-11T22:12:57.7843043Z [ RUN      ] Reductions.ReduceInlineReduction
2023-01-11T22:12:57.7843903Z [       OK ] Reductions.ReduceInlineReduction (0 ms)
2023-01-11T22:12:57.7844257Z [ RUN      ] Reductions.ReduceInlineConsumer
2023-01-11T22:12:57.7931999Z [       OK ] Reductions.ReduceInlineConsumer (8 ms)
2023-01-11T22:12:57.7932379Z [ RUN      ] Reductions.ReduceInlineReducerInternal
2023-01-11T22:12:57.8021581Z [       OK ] Reductions.ReduceInlineReducerInternal (8 ms)
2023-01-11T22:12:57.8022057Z [ RUN      ] Reductions.ReductionCacheAccessesOperatorAxis
2023-01-11T22:12:57.8068161Z [       OK ] Reductions.ReductionCacheAccessesOperatorAxis (4 ms)
2023-01-11T22:12:57.8068610Z [ RUN      ] Reductions.ReductionCacheAccessesOuterReduceAxis
2023-01-11T22:12:57.8111913Z [       OK ] Reductions.ReductionCacheAccessesOuterReduceAxis (4 ms)
2023-01-11T22:12:57.8112398Z [ RUN      ] Reductions.ReductionCacheAccessesInnerReduceAxis
2023-01-11T22:12:57.8154460Z [       OK ] Reductions.ReductionCacheAccessesInnerReduceAxis (4 ms)
2023-01-11T22:12:57.8155081Z [ RUN      ] Reductions.ReductionCacheBodyAccess
2023-01-11T22:12:57.8169427Z [       OK ] Reductions.ReductionCacheBodyAccess (1 ms)
2023-01-11T22:12:57.8170042Z [ RUN      ] Reductions.ReductionCacheConsumerAccess
2023-01-11T22:12:57.8186557Z [       OK ] Reductions.ReductionCacheConsumerAccess (1 ms)
2023-01-11T22:12:57.8187217Z [ RUN      ] Reductions.ReductionSplitCacheConsumerAccess
2023-01-11T22:12:57.8206484Z [       OK ] Reductions.ReductionSplitCacheConsumerAccess (1 ms)
2023-01-11T22:12:57.8207105Z [ RUN      ] Reductions.ReductionReorderCacheConsumerAccess
2023-01-11T22:12:57.8223734Z [       OK ] Reductions.ReductionReorderCacheConsumerAccess (1 ms)
2023-01-11T22:12:57.8224359Z [ RUN      ] Reductions.ReductionRfactorCacheTempOuter
2023-01-11T22:12:57.8398331Z [       OK ] Reductions.ReductionRfactorCacheTempOuter (17 ms)
2023-01-11T22:12:57.8398930Z [ RUN      ] Reductions.ReductionRfactorCacheTempInner
2023-01-11T22:12:57.8537651Z [       OK ] Reductions.ReductionRfactorCacheTempInner (13 ms)
2023-01-11T22:12:57.8538231Z [ RUN      ] Reductions.ReductionVectorize
2023-01-11T22:12:57.8549470Z [       OK ] Reductions.ReductionVectorize (1 ms)
2023-01-11T22:12:57.8549933Z [ RUN      ] Reductions.ReductionVectorizeInner
2023-01-11T22:12:57.8550290Z [       OK ] Reductions.ReductionVectorizeInner (0 ms)
2023-01-11T22:12:57.8550692Z [ RUN      ] Reductions.ReductionVectorizeRfactor
2023-01-11T22:12:57.8562838Z [       OK ] Reductions.ReductionVectorizeRfactor (1 ms)
2023-01-11T22:12:57.8563176Z [ RUN      ] Reductions.InitFunction
2023-01-11T22:12:57.8564862Z [       OK ] Reductions.InitFunction (0 ms)
2023-01-11T22:12:57.8565448Z [----------] 45 tests from Reductions (1230 ms total)
2023-01-11T22:12:57.8565746Z 
2023-01-11T22:12:57.8565930Z [----------] 69 tests from Registerizer
2023-01-11T22:12:57.8566238Z [ RUN      ] Registerizer.RegisterizerSimple
2023-01-11T22:12:57.8567174Z [       OK ] Registerizer.RegisterizerSimple (0 ms)
2023-01-11T22:12:57.8567508Z [ RUN      ] Registerizer.RegisterizerLoop
2023-01-11T22:12:57.8569008Z [       OK ] Registerizer.RegisterizerLoop (0 ms)
2023-01-11T22:12:57.8569376Z [ RUN      ] Registerizer.RegisterizerLoopFixedLoad
2023-01-11T22:12:57.8570525Z [       OK ] Registerizer.RegisterizerLoopFixedLoad (0 ms)
2023-01-11T22:12:57.8570887Z [ RUN      ] Registerizer.RegisterizerLoopInternal
2023-01-11T22:12:57.8572417Z [       OK ] Registerizer.RegisterizerLoopInternal (0 ms)
2023-01-11T22:12:57.8572836Z [ RUN      ] Registerizer.RegisterizerLoopInternalLoadOverlap
2023-01-11T22:12:57.8574182Z [       OK ] Registerizer.RegisterizerLoopInternalLoadOverlap (0 ms)
2023-01-11T22:12:57.8574651Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeated
2023-01-11T22:12:57.8578159Z [       OK ] Registerizer.RegisterizerLoopInternalRepeated (0 ms)
2023-01-11T22:12:57.8578710Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar
2023-01-11T22:12:57.8581645Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar (0 ms)
2023-01-11T22:12:57.8582227Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther
2023-01-11T22:12:57.8585114Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther (0 ms)
2023-01-11T22:12:57.8585606Z [ RUN      ] Registerizer.RegisterizerMultiVar
2023-01-11T22:12:57.8602418Z [       OK ] Registerizer.RegisterizerMultiVar (1 ms)
2023-01-11T22:12:57.8602791Z [ RUN      ] Registerizer.RegisterizerVariableLoad
2023-01-11T22:12:57.8605060Z [       OK ] Registerizer.RegisterizerVariableLoad (0 ms)
2023-01-11T22:12:57.8605627Z [ RUN      ] Registerizer.RegisterizerSymbolicIndices
2023-01-11T22:12:57.8606491Z [       OK ] Registerizer.RegisterizerSymbolicIndices (0 ms)
2023-01-11T22:12:57.8607261Z [ RUN      ] Registerizer.RegisterizerMultiLoop
2023-01-11T22:12:57.8608997Z [       OK ] Registerizer.RegisterizerMultiLoop (0 ms)
2023-01-11T22:12:57.8609422Z [ RUN      ] Registerizer.RegisterizerRepeated
2023-01-11T22:12:57.8612101Z [       OK ] Registerizer.RegisterizerRepeated (0 ms)
2023-01-11T22:12:57.8612560Z [ RUN      ] Registerizer.RegisterizerNoLoads
2023-01-11T22:12:57.8613531Z [       OK ] Registerizer.RegisterizerNoLoads (0 ms)
2023-01-11T22:12:57.8613951Z [ RUN      ] Registerizer.RegisterizerNoRepeatedStores
2023-01-11T22:12:57.8615113Z [       OK ] Registerizer.RegisterizerNoRepeatedStores (0 ms)
2023-01-11T22:12:57.8615506Z [ RUN      ] Registerizer.RegisterizerMultiVarOverlap
2023-01-11T22:12:57.8619141Z [       OK ] Registerizer.RegisterizerMultiVarOverlap (0 ms)
2023-01-11T22:12:57.8619507Z [ RUN      ] Registerizer.RegisterizerAllocs
2023-01-11T22:12:57.8622467Z [       OK ] Registerizer.RegisterizerAllocs (0 ms)
2023-01-11T22:12:57.8622824Z [ RUN      ] Registerizer.RegisterizerNoInitializer
2023-01-11T22:12:57.8623950Z [       OK ] Registerizer.RegisterizerNoInitializer (0 ms)
2023-01-11T22:12:57.8624346Z [ RUN      ] Registerizer.RegisterizerNoInitializerLoopVar
2023-01-11T22:12:57.8625965Z [       OK ] Registerizer.RegisterizerNoInitializerLoopVar (0 ms)
2023-01-11T22:12:57.8626363Z [ RUN      ] Registerizer.RegisterizerLoadThenStore
2023-01-11T22:12:57.8628132Z [       OK ] Registerizer.RegisterizerLoadThenStore (0 ms)
2023-01-11T22:12:57.8628531Z [ RUN      ] Registerizer.RegisterizerParallelized
2023-01-11T22:12:57.8665202Z [       OK ] Registerizer.RegisterizerParallelized (3 ms)
2023-01-11T22:12:57.8665577Z [ RUN      ] Registerizer.RegisterizerConditionAfter
2023-01-11T22:12:57.8667246Z [       OK ] Registerizer.RegisterizerConditionAfter (0 ms)
2023-01-11T22:12:57.8667644Z [ RUN      ] Registerizer.RegisterizerConditionBefore
2023-01-11T22:12:57.8668861Z [       OK ] Registerizer.RegisterizerConditionBefore (0 ms)
2023-01-11T22:12:57.8669236Z [ RUN      ] Registerizer.RegisterizerConditionInside
2023-01-11T22:12:57.8671265Z [       OK ] Registerizer.RegisterizerConditionInside (0 ms)
2023-01-11T22:12:57.8671687Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap1
2023-01-11T22:12:57.8674316Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap1 (0 ms)
2023-01-11T22:12:57.8674748Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap2
2023-01-11T22:12:57.8678220Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap2 (0 ms)
2023-01-11T22:12:57.8678705Z [ RUN      ] Registerizer.RegisterizerConditionHidden
2023-01-11T22:12:57.8679544Z [       OK ] Registerizer.RegisterizerConditionHidden (0 ms)
2023-01-11T22:12:57.8679975Z [ RUN      ] Registerizer.RegisterizerConditionUnhidden
2023-01-11T22:12:57.8682154Z [       OK ] Registerizer.RegisterizerConditionUnhidden (0 ms)
2023-01-11T22:12:57.8682546Z [ RUN      ] Registerizer.RegisterizerCondCondition
2023-01-11T22:12:57.8684531Z [       OK ] Registerizer.RegisterizerCondCondition (0 ms)
2023-01-11T22:12:57.8684953Z [ RUN      ] Registerizer.RegisterizerCondConditionUnhidden
2023-01-11T22:12:57.8686805Z [       OK ] Registerizer.RegisterizerCondConditionUnhidden (0 ms)
2023-01-11T22:12:57.8687335Z [ RUN      ] Registerizer.RegisterizerIfThenElseHidden
2023-01-11T22:12:57.8690725Z [       OK ] Registerizer.RegisterizerIfThenElseHidden (0 ms)
2023-01-11T22:12:57.8691131Z [ RUN      ] Registerizer.RegisterizerIfThenElseUnhidden
2023-01-11T22:12:57.8694927Z [       OK ] Registerizer.RegisterizerIfThenElseUnhidden (0 ms)
2023-01-11T22:12:57.8695409Z [ RUN      ] Registerizer.RegisterizerIfThenElseNested
2023-01-11T22:12:57.8697070Z [       OK ] Registerizer.RegisterizerIfThenElseNested (0 ms)
2023-01-11T22:12:57.8697558Z [ RUN      ] Registerizer.RegisterizerIfThenElseInternal
2023-01-11T22:12:57.8699628Z [       OK ] Registerizer.RegisterizerIfThenElseInternal (0 ms)
2023-01-11T22:12:57.8700085Z [ RUN      ] Registerizer.RegisterizerIfThenElseCondition
2023-01-11T22:12:57.8701215Z [       OK ] Registerizer.RegisterizerIfThenElseCondition (0 ms)
2023-01-11T22:12:57.8701713Z [ RUN      ] Registerizer.RegisterizerIfThenElseConditionUnhidden
2023-01-11T22:12:57.8703639Z [       OK ] Registerizer.RegisterizerIfThenElseConditionUnhidden (0 ms)
2023-01-11T22:12:57.8704137Z [ RUN      ] Registerizer.RegisterizerConditionBranchOnly
2023-01-11T22:12:57.8715048Z [       OK ] Registerizer.RegisterizerConditionBranchOnly (1 ms)
2023-01-11T22:12:57.8715505Z [ RUN      ] Registerizer.RegisterizerCondIfThenElse
2023-01-11T22:12:57.8717642Z [       OK ] Registerizer.RegisterizerCondIfThenElse (0 ms)
2023-01-11T22:12:57.8718084Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoop
2023-01-11T22:12:57.8719584Z [       OK ] Registerizer.RegisterizerIfThenElseLoop (0 ms)
2023-01-11T22:12:57.8720038Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoopCut
2023-01-11T22:12:57.8721679Z [       OK ] Registerizer.RegisterizerIfThenElseLoopCut (0 ms)
2023-01-11T22:12:57.8722130Z [ RUN      ] Registerizer.RegisterizerPartialAfter
2023-01-11T22:12:57.8724820Z [       OK ] Registerizer.RegisterizerPartialAfter (0 ms)
2023-01-11T22:12:57.8725238Z [ RUN      ] Registerizer.RegisterizerPartialBefore
2023-01-11T22:12:57.8727841Z [       OK ] Registerizer.RegisterizerPartialBefore (0 ms)
2023-01-11T22:12:57.8728278Z [ RUN      ] Registerizer.RegisterizerPartialInside
2023-01-11T22:12:57.8731695Z [       OK ] Registerizer.RegisterizerPartialInside (0 ms)
2023-01-11T22:12:57.8732122Z [ RUN      ] Registerizer.RegisterizerPartialCondition
2023-01-11T22:12:57.8736029Z [       OK ] Registerizer.RegisterizerPartialCondition (0 ms)
2023-01-11T22:12:57.8736521Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalCut
2023-01-11T22:12:57.8738012Z [       OK ] Registerizer.RegisterizerPartialConditionInternalCut (0 ms)
2023-01-11T22:12:57.8738530Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalStart
2023-01-11T22:12:57.8739633Z [       OK ] Registerizer.RegisterizerPartialConditionInternalStart (0 ms)
2023-01-11T22:12:57.8740129Z [ RUN      ] Registerizer.RegisterizerPartialOverlapsTwo
2023-01-11T22:12:57.8742877Z [       OK ] Registerizer.RegisterizerPartialOverlapsTwo (0 ms)
2023-01-11T22:12:57.8743323Z [ RUN      ] Registerizer.RegisterizerNestedBlocks
2023-01-11T22:12:57.8745071Z [       OK ] Registerizer.RegisterizerNestedBlocks (0 ms)
2023-01-11T22:12:57.8745514Z [ RUN      ] Registerizer.RegisterizerNestedConditions
2023-01-11T22:12:57.8747163Z [       OK ] Registerizer.RegisterizerNestedConditions (0 ms)
2023-01-11T22:12:57.8747640Z [ RUN      ] Registerizer.RegisterizerNestedConditionsUnhidden
2023-01-11T22:12:57.8749540Z [       OK ] Registerizer.RegisterizerNestedConditionsUnhidden (0 ms)
2023-01-11T22:12:57.8750039Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenFirst
2023-01-11T22:12:57.8752643Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenFirst (0 ms)
2023-01-11T22:12:57.8753185Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenSecond
2023-01-11T22:12:57.8755538Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenSecond (0 ms)
2023-01-11T22:12:57.8756024Z [ RUN      ] Registerizer.RegisterizerNestedConditionsCut
2023-01-11T22:12:57.8757468Z [       OK ] Registerizer.RegisterizerNestedConditionsCut (0 ms)
2023-01-11T22:12:57.8757961Z [ RUN      ] Registerizer.RegisterizerNestedConditionLoopHidden
2023-01-11T22:12:57.8760190Z [       OK ] Registerizer.RegisterizerNestedConditionLoopHidden (0 ms)
2023-01-11T22:12:57.8760689Z [ RUN      ] Registerizer.RegisterizerNestedConditionThreeDeep
2023-01-11T22:12:57.8766043Z [       OK ] Registerizer.RegisterizerNestedConditionThreeDeep (0 ms)
2023-01-11T22:12:57.8766518Z [ RUN      ] Registerizer.RegisterizerNestedLoopSimple
2023-01-11T22:12:57.8768005Z [       OK ] Registerizer.RegisterizerNestedLoopSimple (0 ms)
2023-01-11T22:12:57.8768441Z [ RUN      ] Registerizer.RegisterizerHiddenAccessYes
2023-01-11T22:12:57.8771208Z [       OK ] Registerizer.RegisterizerHiddenAccessYes (0 ms)
2023-01-11T22:12:57.8771655Z [ RUN      ] Registerizer.RegisterizerHiddenAccessNo
2023-01-11T22:12:57.8774149Z [       OK ] Registerizer.RegisterizerHiddenAccessNo (0 ms)
2023-01-11T22:12:57.8774612Z [ RUN      ] Registerizer.RegisterizerHiddenAccessMultiLoop
2023-01-11T22:12:57.8777970Z [       OK ] Registerizer.RegisterizerHiddenAccessMultiLoop (0 ms)
2023-01-11T22:12:57.8778449Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoops
2023-01-11T22:12:57.8780717Z [       OK ] Registerizer.RegisterizerTwoConditionalLoops (0 ms)
2023-01-11T22:12:57.8781195Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoopsCut
2023-01-11T22:12:57.8783948Z [       OK ] Registerizer.RegisterizerTwoConditionalLoopsCut (0 ms)
2023-01-11T22:12:57.8784402Z [ RUN      ] Registerizer.RegisterizerLoopLetVar
2023-01-11T22:12:57.8786241Z [       OK ] Registerizer.RegisterizerLoopLetVar (0 ms)
2023-01-11T22:12:57.8786714Z [ RUN      ] Registerizer.RegisterizerLoopLetVarOuter
2023-01-11T22:12:57.8787421Z [       OK ] Registerizer.RegisterizerLoopLetVarOuter (0 ms)
2023-01-11T22:12:57.8787785Z [ RUN      ] Registerizer.RegisterizerMultiDim
2023-01-11T22:12:57.8789652Z [       OK ] Registerizer.RegisterizerMultiDim (0 ms)
2023-01-11T22:12:57.8790019Z [ RUN      ] Registerizer.RegisterizerMultiDimPartial
2023-01-11T22:12:57.8792560Z [       OK ] Registerizer.RegisterizerMultiDimPartial (0 ms)
2023-01-11T22:12:57.8792942Z [ RUN      ] Registerizer.RegisterizerMultiDimOverlap
2023-01-11T22:12:57.8795500Z [       OK ] Registerizer.RegisterizerMultiDimOverlap (0 ms)
2023-01-11T22:12:57.8795979Z [ RUN      ] Registerizer.RegisterizerMultiDimPartialOverlap
2023-01-11T22:12:57.8798400Z [       OK ] Registerizer.RegisterizerMultiDimPartialOverlap (0 ms)
2023-01-11T22:12:57.8798830Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction1
2023-01-11T22:12:57.8801337Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction1 (0 ms)
2023-01-11T22:12:57.8801787Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction2
2023-01-11T22:12:57.8804605Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction2 (0 ms)
2023-01-11T22:12:57.8805228Z [----------] 69 tests from Registerizer (23 ms total)
2023-01-11T22:12:57.8805515Z 
2023-01-11T22:12:57.8805785Z [----------] 92 tests from Simplify
2023-01-11T22:12:57.8806200Z [ RUN      ] Simplify.ConstantFoldSimple
2023-01-11T22:12:57.8806510Z [       OK ] Simplify.ConstantFoldSimple (0 ms)
2023-01-11T22:12:57.8806939Z [ RUN      ] Simplify.ConstantFoldTwoLayer
2023-01-11T22:12:57.8807269Z [       OK ] Simplify.ConstantFoldTwoLayer (0 ms)
2023-01-11T22:12:57.8807570Z [ RUN      ] Simplify.ConstantFoldShifts
2023-01-11T22:12:57.8822200Z [       OK ] Simplify.ConstantFoldShifts (1 ms)
2023-01-11T22:12:57.8822677Z [ RUN      ] Simplify.ConstantFoldBitwise
2023-01-11T22:12:57.8823053Z [       OK ] Simplify.ConstantFoldBitwise (0 ms)
2023-01-11T22:12:57.8823603Z [ RUN      ] Simplify.ConstantFoldMultiOp
2023-01-11T22:12:57.8824128Z [       OK ] Simplify.ConstantFoldMultiOp (0 ms)
2023-01-11T22:12:57.8824581Z [ RUN      ] Simplify.ConstantFoldMinMax
2023-01-11T22:12:57.8825037Z [       OK ] Simplify.ConstantFoldMinMax (0 ms)
2023-01-11T22:12:57.8825493Z [ RUN      ] Simplify.ConstantFoldIntrinsics
2023-01-11T22:12:57.8825844Z [       OK ] Simplify.ConstantFoldIntrinsics (0 ms)
2023-01-11T22:12:57.8826165Z [ RUN      ] Simplify.ConstantFoldCastToBool
2023-01-11T22:12:57.8826498Z [       OK ] Simplify.ConstantFoldCastToBool (0 ms)
2023-01-11T22:12:57.8826850Z [ RUN      ] Simplify.ConstantFoldWithVar
2023-01-11T22:12:57.8827274Z [       OK ] Simplify.ConstantFoldWithVar (0 ms)
2023-01-11T22:12:57.8827601Z [ RUN      ] Simplify.ConditionalSelectFoldSimple
2023-01-11T22:12:57.8828023Z [       OK ] Simplify.ConditionalSelectFoldSimple (0 ms)
2023-01-11T22:12:57.8828393Z [ RUN      ] Simplify.ConditionalSelectFoldTwoLayer
2023-01-11T22:12:57.8829902Z [       OK ] Simplify.ConditionalSelectFoldTwoLayer (0 ms)
2023-01-11T22:12:57.8830480Z [ RUN      ] Simplify.ConditionalSelectFoldWithVar
2023-01-11T22:12:57.8830952Z [       OK ] Simplify.ConditionalSelectFoldWithVar (0 ms)
2023-01-11T22:12:57.8831548Z [ RUN      ] Simplify.UnFoldableExpr
2023-01-11T22:12:57.8831963Z [       OK ] Simplify.UnFoldableExpr (0 ms)
2023-01-11T22:12:57.8832456Z [ RUN      ] Simplify.HashSimple
2023-01-11T22:12:57.8832931Z [       OK ] Simplify.HashSimple (0 ms)
2023-01-11T22:12:57.8833215Z [ RUN      ] Simplify.HashEquivalence
2023-01-11T22:12:57.8833515Z [       OK ] Simplify.HashEquivalence (0 ms)
2023-01-11T22:12:57.8833820Z [ RUN      ] Simplify.HashEquivalenceRand
2023-01-11T22:12:57.8834210Z [       OK ] Simplify.HashEquivalenceRand (0 ms)
2023-01-11T22:12:57.8834542Z [ RUN      ] Simplify.HashEquivalenceAfterFolding
2023-01-11T22:12:57.8834904Z [       OK ] Simplify.HashEquivalenceAfterFolding (0 ms)
2023-01-11T22:12:57.8835238Z [ RUN      ] Simplify.HashDifferenceTypes
2023-01-11T22:12:57.8835543Z [       OK ] Simplify.HashDifferenceTypes (0 ms)
2023-01-11T22:12:57.8835857Z [ RUN      ] Simplify.HashLargeExpression
2023-01-11T22:12:57.8850643Z [       OK ] Simplify.HashLargeExpression (1 ms)
2023-01-11T22:12:57.8851142Z [ RUN      ] Simplify.HashForLoopOptions
2023-01-11T22:12:57.8851484Z [       OK ] Simplify.HashForLoopOptions (0 ms)
2023-01-11T22:12:57.8851778Z [ RUN      ] Simplify.SimplifyAdd
2023-01-11T22:12:57.8852109Z [       OK ] Simplify.SimplifyAdd (0 ms)
2023-01-11T22:12:57.8852408Z [ RUN      ] Simplify.SimplifySub
2023-01-11T22:12:57.8852818Z [       OK ] Simplify.SimplifySub (0 ms)
2023-01-11T22:12:57.8853191Z [ RUN      ] Simplify.SimplifyMultiLayer
2023-01-11T22:12:57.8853526Z [       OK ] Simplify.SimplifyMultiLayer (0 ms)
2023-01-11T22:12:57.8853910Z [ RUN      ] Simplify.SimplifyMultiTerm
2023-01-11T22:12:57.8854235Z [       OK ] Simplify.SimplifyMultiTerm (0 ms)
2023-01-11T22:12:57.8854513Z [ RUN      ] Simplify.SimplifyCasts
2023-01-11T22:12:57.8854805Z [       OK ] Simplify.SimplifyCasts (0 ms)
2023-01-11T22:12:57.8855120Z [ RUN      ] Simplify.SimplifyEliminatesNoOps
2023-01-11T22:12:57.8855589Z [       OK ] Simplify.SimplifyEliminatesNoOps (0 ms)
2023-01-11T22:12:57.8855896Z [ RUN      ] Simplify.SimplifyMultiVar
2023-01-11T22:12:57.8856200Z [       OK ] Simplify.SimplifyMultiVar (0 ms)
2023-01-11T22:12:57.8856513Z [ RUN      ] Simplify.SimplifyEliminatesVar
2023-01-11T22:12:57.8868248Z [       OK ] Simplify.SimplifyEliminatesVar (1 ms)
2023-01-11T22:12:57.8868821Z [ RUN      ] Simplify.SimplifyAdds
2023-01-11T22:12:57.8870365Z [       OK ] Simplify.SimplifyAdds (0 ms)
2023-01-11T22:12:57.8870649Z [ RUN      ] Simplify.SimplifyMuls
2023-01-11T22:12:57.8874517Z [       OK ] Simplify.SimplifyMuls (0 ms)
2023-01-11T22:12:57.8874863Z [ RUN      ] Simplify.SimplifySubs
2023-01-11T22:12:57.8880671Z [       OK ] Simplify.SimplifySubs (0 ms)
2023-01-11T22:12:57.8881161Z [ RUN      ] Simplify.SimplifyDiv
2023-01-11T22:12:57.8881575Z [       OK ] Simplify.SimplifyDiv (0 ms)
2023-01-11T22:12:57.8881995Z [ RUN      ] Simplify.SimplifyDivWithLoopContext0
2023-01-11T22:12:57.8882512Z [       OK ] Simplify.SimplifyDivWithLoopContext0 (0 ms)
2023-01-11T22:12:57.8882875Z [ RUN      ] Simplify.SimplifyDivWithLoopContext1
2023-01-11T22:12:57.8884635Z [       OK ] Simplify.SimplifyDivWithLoopContext1 (0 ms)
2023-01-11T22:12:57.8885057Z [ RUN      ] Simplify.SimplifyDivWithLoopContext2
2023-01-11T22:12:57.8886908Z [       OK ] Simplify.SimplifyDivWithLoopContext2 (0 ms)
2023-01-11T22:12:57.8887332Z [ RUN      ] Simplify.SimplifyDivWithLoopContext3
2023-01-11T22:12:57.8887694Z [       OK ] Simplify.SimplifyDivWithLoopContext3 (0 ms)
2023-01-11T22:12:57.8888176Z [ RUN      ] Simplify.SimplifyDivWithLoopContext4
2023-01-11T22:12:57.8890345Z [       OK ] Simplify.SimplifyDivWithLoopContext4 (0 ms)
2023-01-11T22:12:57.8890763Z [ RUN      ] Simplify.SimplifyDivWithLoopContext5
2023-01-11T22:12:57.8893135Z [       OK ] Simplify.SimplifyDivWithLoopContext5 (0 ms)
2023-01-11T22:12:57.8893582Z [ RUN      ] Simplify.SimplifyDivWithLoopContext6
2023-01-11T22:12:57.8896084Z [       OK ] Simplify.SimplifyDivWithLoopContext6 (0 ms)
2023-01-11T22:12:57.8896507Z [ RUN      ] Simplify.SimplifyDivWithLoopContext7
2023-01-11T22:12:57.8897095Z [       OK ] Simplify.SimplifyDivWithLoopContext7 (0 ms)
2023-01-11T22:12:57.8897537Z [ RUN      ] Simplify.SimplifyModWithLoopContext0
2023-01-11T22:12:57.8898476Z [       OK ] Simplify.SimplifyModWithLoopContext0 (0 ms)
2023-01-11T22:12:57.8899130Z [ RUN      ] Simplify.SimplifyModWithLoopContext1
2023-01-11T22:12:57.8900470Z [       OK ] Simplify.SimplifyModWithLoopContext1 (0 ms)
2023-01-11T22:12:57.8901112Z [ RUN      ] Simplify.SimplifyModWithLoopContext2
2023-01-11T22:12:57.8902447Z [       OK ] Simplify.SimplifyModWithLoopContext2 (0 ms)
2023-01-11T22:12:57.8903086Z [ RUN      ] Simplify.SimplifyModWithLoopContext3
2023-01-11T22:12:57.8903731Z [       OK ] Simplify.SimplifyModWithLoopContext3 (0 ms)
2023-01-11T22:12:57.8904176Z [ RUN      ] Simplify.SimplifyModWithLoopContext4
2023-01-11T22:12:57.8905817Z [       OK ] Simplify.SimplifyModWithLoopContext4 (0 ms)
2023-01-11T22:12:57.8906441Z [ RUN      ] Simplify.SimplifyModWithLoopContext5
2023-01-11T22:12:57.8908427Z [       OK ] Simplify.SimplifyModWithLoopContext5 (0 ms)
2023-01-11T22:12:57.8909052Z [ RUN      ] Simplify.SimplifyModWithLoopContext6
2023-01-11T22:12:57.8911315Z [       OK ] Simplify.SimplifyModWithLoopContext6 (0 ms)
2023-01-11T22:12:57.8911927Z [ RUN      ] Simplify.SimplifyModWithLoopContext7
2023-01-11T22:12:57.8912686Z [       OK ] Simplify.SimplifyModWithLoopContext7 (0 ms)
2023-01-11T22:12:57.8913252Z [ RUN      ] Simplify.SimplifyMod
2023-01-11T22:12:57.8914958Z [       OK ] Simplify.SimplifyMod (0 ms)
2023-01-11T22:12:57.8915495Z [ RUN      ] Simplify.SimplifyMultiOp
2023-01-11T22:12:57.8917008Z [       OK ] Simplify.SimplifyMultiOp (0 ms)
2023-01-11T22:12:57.8917557Z [ RUN      ] Simplify.SimplifyManyOps
2023-01-11T22:12:57.8920069Z [       OK ] Simplify.SimplifyManyOps (0 ms)
2023-01-11T22:12:57.8920650Z [ RUN      ] Simplify.SimplifyFactorization
2023-01-11T22:12:57.8924540Z [       OK ] Simplify.SimplifyFactorization (0 ms)
2023-01-11T22:12:57.8925130Z [ RUN      ] Simplify.SimplifyFactorizeUneven
2023-01-11T22:12:57.8925869Z [       OK ] Simplify.SimplifyFactorizeUneven (0 ms)
2023-01-11T22:12:57.8926459Z [ RUN      ] Simplify.SimplifyDeeperTerms
2023-01-11T22:12:57.8927137Z [       OK ] Simplify.SimplifyDeeperTerms (0 ms)
2023-01-11T22:12:57.8927723Z [ RUN      ] Simplify.SimplifyDeeperDifference
2023-01-11T22:12:57.8928370Z [       OK ] Simplify.SimplifyDeeperDifference (0 ms)
2023-01-11T22:12:57.8928934Z [ RUN      ] Simplify.SimplifyFoldComplexDifference
2023-01-11T22:12:57.8929572Z [       OK ] Simplify.SimplifyFoldComplexDifference (0 ms)
2023-01-11T22:12:57.8930173Z [ RUN      ] Simplify.SimplifyIfComponents
2023-01-11T22:12:57.8930788Z [       OK ] Simplify.SimplifyIfComponents (0 ms)
2023-01-11T22:12:57.8931142Z [ RUN      ] Simplify.SimplifyOpaqueTerms
2023-01-11T22:12:57.8931649Z [       OK ] Simplify.SimplifyOpaqueTerms (0 ms)
2023-01-11T22:12:57.8932174Z [ RUN      ] Simplify.SimplifySymbolicMinMax
2023-01-11T22:12:57.8933004Z [       OK ] Simplify.SimplifySymbolicMinMax (0 ms)
2023-01-11T22:12:57.8933560Z [ RUN      ] Simplify.SimplifyNestedMax
2023-01-11T22:12:57.8945710Z [       OK ] Simplify.SimplifyNestedMax (1 ms)
2023-01-11T22:12:57.8946265Z [ RUN      ] Simplify.SimplifyNestedMin
2023-01-11T22:12:57.8958434Z [       OK ] Simplify.SimplifyNestedMin (1 ms)
2023-01-11T22:12:57.8958794Z [ RUN      ] Simplify.SimplifyWontReorderFloat
2023-01-11T22:12:57.8960294Z [       OK ] Simplify.SimplifyWontReorderFloat (0 ms)
2023-01-11T22:12:57.8960721Z [ RUN      ] Simplify.SimplifyRoundModPattern
2023-01-11T22:12:57.8968216Z [       OK ] Simplify.SimplifyRoundModPattern (0 ms)
2023-01-11T22:12:57.8968687Z [ RUN      ] Simplify.SimplifyRoundModPatternFactorization
2023-01-11T22:12:57.8972282Z [       OK ] Simplify.SimplifyRoundModPatternFactorization (0 ms)
2023-01-11T22:12:57.8972757Z [ RUN      ] Simplify.SimplifyRoundModPatternMultivar
2023-01-11T22:12:57.8976055Z [       OK ] Simplify.SimplifyRoundModPatternMultivar (0 ms)
2023-01-11T22:12:57.8976503Z [ RUN      ] Simplify.SimplifyModRoundModPattern
2023-01-11T22:12:57.8980952Z [       OK ] Simplify.SimplifyModRoundModPattern (0 ms)
2023-01-11T22:12:57.8981436Z [ RUN      ] Simplify.SimplifyModRoundModPatternFactorization
2023-01-11T22:12:57.8988242Z [       OK ] Simplify.SimplifyModRoundModPatternFactorization (0 ms)
2023-01-11T22:12:57.8988733Z [ RUN      ] Simplify.SimplifyModRoundModPatternMultivar
2023-01-11T22:12:57.9001857Z [       OK ] Simplify.SimplifyModRoundModPatternMultivar (1 ms)
2023-01-11T22:12:57.9002387Z [ RUN      ] Simplify.SimplifyDivisionScalarFactorization
2023-01-11T22:12:57.9003354Z [       OK ] Simplify.SimplifyDivisionScalarFactorization (0 ms)
2023-01-11T22:12:57.9003968Z [ RUN      ] Simplify.SimplifyConstantBranches
2023-01-11T22:12:57.9004330Z [       OK ] Simplify.SimplifyConstantBranches (0 ms)
2023-01-11T22:12:57.9004737Z [ RUN      ] Simplify.SimplifyConstantCond
2023-01-11T22:12:57.9005487Z [       OK ] Simplify.SimplifyConstantCond (0 ms)
2023-01-11T22:12:57.9006080Z [ RUN      ] Simplify.SimplifyEliminateEmptyCond
2023-01-11T22:12:57.9006703Z [       OK ] Simplify.SimplifyEliminateEmptyCond (0 ms)
2023-01-11T22:12:57.9007067Z [ RUN      ] Simplify.SimplifyConstantComparisons
2023-01-11T22:12:57.9010609Z [       OK ] Simplify.SimplifyConstantComparisons (0 ms)
2023-01-11T22:12:57.9011254Z [ RUN      ] Simplify.SimplifySymbolicComparisons
2023-01-11T22:12:57.9017440Z [       OK ] Simplify.SimplifySymbolicComparisons (0 ms)
2023-01-11T22:12:57.9018228Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthFor
2023-01-11T22:12:57.9018921Z [       OK ] Simplify.SimplifyEliminateZeroLengthFor (0 ms)
2023-01-11T22:12:57.9019418Z [ RUN      ] Simplify.SimplifyOneLoopFor
2023-01-11T22:12:57.9019923Z [       OK ] Simplify.SimplifyOneLoopFor (0 ms)
2023-01-11T22:12:57.9020273Z [ RUN      ] Simplify.SimplifyForWontLoseLoopOptions
2023-01-11T22:12:57.9020655Z [       OK ] Simplify.SimplifyForWontLoseLoopOptions (0 ms)
2023-01-11T22:12:57.9021078Z [ RUN      ] Simplify.SimplifyMultilevelFor
2023-01-11T22:12:57.9021550Z [       OK ] Simplify.SimplifyMultilevelFor (0 ms)
2023-01-11T22:12:57.9021876Z [ RUN      ] Simplify.SimplifyForCleansUp
2023-01-11T22:12:57.9024755Z [       OK ] Simplify.SimplifyForCleansUp (0 ms)
2023-01-11T22:12:57.9025104Z [ RUN      ] Simplify.SimplifyEliminateEmptyFor
2023-01-11T22:12:57.9026207Z [       OK ] Simplify.SimplifyEliminateEmptyFor (0 ms)
2023-01-11T22:12:57.9026682Z [ RUN      ] Simplify.SimplifyFlattenBlock
2023-01-11T22:12:57.9027136Z [       OK ] Simplify.SimplifyFlattenBlock (0 ms)
2023-01-11T22:12:57.9027653Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthAlloc
2023-01-11T22:12:57.9028193Z [       OK ] Simplify.SimplifyEliminateZeroLengthAlloc (0 ms)
2023-01-11T22:12:57.9028537Z [ RUN      ] Simplify.DontSimplifyRand
2023-01-11T22:12:57.9028876Z [       OK ] Simplify.DontSimplifyRand (0 ms)
2023-01-11T22:12:57.9029201Z [ RUN      ] Simplify.SimplifyReorderForCond
2023-01-11T22:12:57.9033400Z [       OK ] Simplify.SimplifyReorderForCond (0 ms)
2023-01-11T22:12:57.9033768Z [ RUN      ] Simplify.SimplifyFuseConditions
2023-01-11T22:12:57.9039366Z [       OK ] Simplify.SimplifyFuseConditions (0 ms)
2023-01-11T22:12:57.9039930Z [ RUN      ] Simplify.SimplifySyncThreads
2023-01-11T22:12:57.9040491Z [       OK ] Simplify.SimplifySyncThreads (0 ms)
2023-01-11T22:12:57.9041063Z [ RUN      ] Simplify.SimplifyRampSubBroadcast
2023-01-11T22:12:57.9041697Z [       OK ] Simplify.SimplifyRampSubBroadcast (0 ms)
2023-01-11T22:12:57.9042083Z [ RUN      ] Simplify.SimplifyBroadcastTermExpander
2023-01-11T22:12:57.9042447Z [       OK ] Simplify.SimplifyBroadcastTermExpander (0 ms)
2023-01-11T22:12:57.9042799Z [ RUN      ] Simplify.CompareSelectLoopBounds
2023-01-11T22:12:57.9128424Z [       OK ] Simplify.CompareSelectLoopBounds (8 ms)
2023-01-11T22:12:57.9129102Z [ RUN      ] Simplify.CompareSelectCondAlwaysInLoopBounds
2023-01-11T22:12:57.9129785Z [       OK ] Simplify.CompareSelectCondAlwaysInLoopBounds (0 ms)
2023-01-11T22:12:57.9130340Z [ RUN      ] Simplify.IfThenCondAlwaysInLoopBounds
2023-01-11T22:12:57.9130989Z [       OK ] Simplify.IfThenCondAlwaysInLoopBounds (0 ms)
2023-01-11T22:12:57.9131360Z [ RUN      ] Simplify.MultiClauseCondAlwaysInLoopBounds
2023-01-11T22:12:57.9132376Z [       OK ] Simplify.MultiClauseCondAlwaysInLoopBounds (0 ms)
2023-01-11T22:12:57.9133029Z [----------] 92 tests from Simplify (32 ms total)
2023-01-11T22:12:57.9133185Z 
2023-01-11T22:12:57.9133334Z [----------] 12 tests from TEFuserPass
2023-01-11T22:12:57.9133602Z [ RUN      ] TEFuserPass.FuserPass_1
2023-01-11T22:12:57.9138708Z [       OK ] TEFuserPass.FuserPass_1 (0 ms)
2023-01-11T22:12:57.9139364Z [ RUN      ] TEFuserPass.FuserPass_2
2023-01-11T22:12:57.9142358Z [       OK ] TEFuserPass.FuserPass_2 (0 ms)
2023-01-11T22:12:57.9142873Z [ RUN      ] TEFuserPass.FuserPass_3
2023-01-11T22:12:57.9144922Z [       OK ] TEFuserPass.FuserPass_3 (0 ms)
2023-01-11T22:12:57.9145481Z [ RUN      ] TEFuserPass.FuserPass_0DimInput
2023-01-11T22:12:57.9147274Z [       OK ] TEFuserPass.FuserPass_0DimInput (0 ms)
2023-01-11T22:12:57.9147966Z [ RUN      ] TEFuserPass.FuserPass_UnfusibleDevice
2023-01-11T22:12:57.9148552Z [       OK ] TEFuserPass.FuserPass_UnfusibleDevice (0 ms)
2023-01-11T22:12:57.9149128Z [ RUN      ] TEFuserPass.FuserPass_UnknownShapes
2023-01-11T22:12:57.9149728Z [       OK ] TEFuserPass.FuserPass_UnknownShapes (0 ms)
2023-01-11T22:12:57.9150122Z [ RUN      ] TEFuserPass.FuserPass_Multidevice
2023-01-11T22:12:57.9156445Z [       OK ] TEFuserPass.FuserPass_Multidevice (0 ms)
2023-01-11T22:12:57.9157013Z [ RUN      ] TEFuserPass.FuserPass_MergeGroups
2023-01-11T22:12:57.9159024Z [       OK ] TEFuserPass.FuserPass_MergeGroups (0 ms)
2023-01-11T22:12:57.9159659Z [ RUN      ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart
2023-01-11T22:12:57.9160288Z [       OK ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart (0 ms)
2023-01-11T22:12:57.9160812Z [ RUN      ] TEFuserPass.FuserPass_Where
2023-01-11T22:12:57.9163154Z [       OK ] TEFuserPass.FuserPass_Where (0 ms)
2023-01-11T22:12:57.9163822Z [ RUN      ] TEFuserPass.FuserPass_WhereList
2023-01-11T22:12:57.9164410Z [       OK ] TEFuserPass.FuserPass_WhereList (0 ms)
2023-01-11T22:12:57.9164737Z [ RUN      ] TEFuserPass.DynamicShapeFusion
2023-01-11T22:12:58.1716080Z [       OK ] TEFuserPass.DynamicShapeFusion (254 ms)
2023-01-11T22:12:58.1716628Z [----------] 12 tests from TEFuserPass (258 ms total)
2023-01-11T22:12:58.1716827Z 
2023-01-11T22:12:58.1716998Z [----------] 3 tests from Type
2023-01-11T22:12:58.1717232Z [ RUN      ] Type.Test01
2023-01-11T22:12:58.1717478Z [       OK ] Type.Test01 (0 ms)
2023-01-11T22:12:58.1717786Z [ RUN      ] Type.BitCasting
2023-01-11T22:12:58.1718046Z [       OK ] Type.BitCasting (0 ms)
2023-01-11T22:12:58.1718293Z [ RUN      ] Type.Propagation
2023-01-11T22:12:58.1718626Z [       OK ] Type.Propagation (0 ms)
2023-01-11T22:12:58.1718908Z [----------] 3 tests from Type (0 ms total)
2023-01-11T22:12:58.1719036Z 
2023-01-11T22:12:58.1719283Z [----------] 1 test from SpecializationsInCustomPasses
2023-01-11T22:12:58.1719636Z [ RUN      ] SpecializationsInCustomPasses.Basic
2023-01-11T22:12:58.1732499Z [       OK ] SpecializationsInCustomPasses.Basic (1 ms)
2023-01-11T22:12:58.1732903Z [----------] 1 test from SpecializationsInCustomPasses (1 ms total)
2023-01-11T22:12:58.1733094Z 
2023-01-11T22:12:58.1733238Z [----------] 150 tests from LLVM
2023-01-11T22:12:58.1733490Z [ RUN      ] LLVM.ByteImmTest
2023-01-11T22:12:58.1924575Z [       OK ] LLVM.ByteImmTest (19 ms)
2023-01-11T22:12:58.1924884Z [ RUN      ] LLVM.CharImmTest
2023-01-11T22:12:58.2103838Z [       OK ] LLVM.CharImmTest (17 ms)
2023-01-11T22:12:58.2104114Z [ RUN      ] LLVM.ShortImmTest
2023-01-11T22:12:58.2282946Z [       OK ] LLVM.ShortImmTest (17 ms)
2023-01-11T22:12:58.2283304Z [ RUN      ] LLVM.IntImmTest
2023-01-11T22:12:58.2460735Z [       OK ] LLVM.IntImmTest (17 ms)
2023-01-11T22:12:58.2461055Z [ RUN      ] LLVM.LongImmTest
2023-01-11T22:12:58.2638332Z [       OK ] LLVM.LongImmTest (17 ms)
2023-01-11T22:12:58.2638740Z [ RUN      ] LLVM.FloatImmTest
2023-01-11T22:12:58.2818232Z [       OK ] LLVM.FloatImmTest (17 ms)
2023-01-11T22:12:58.2818559Z [ RUN      ] LLVM.DoubleImmTest
2023-01-11T22:12:58.2995841Z [       OK ] LLVM.DoubleImmTest (17 ms)
2023-01-11T22:12:58.2996139Z [ RUN      ] LLVM.HalfImmTest
2023-01-11T22:12:58.3173232Z [       OK ] LLVM.HalfImmTest (17 ms)
2023-01-11T22:12:58.3173633Z [ RUN      ] LLVM.ByteAddTest
2023-01-11T22:12:58.3352654Z [       OK ] LLVM.ByteAddTest (17 ms)
2023-01-11T22:12:58.3352982Z [ RUN      ] LLVM.CharAddTest
2023-01-11T22:12:58.3529358Z [       OK ] LLVM.CharAddTest (17 ms)
2023-01-11T22:12:58.3529703Z [ RUN      ] LLVM.ShortAddTest
2023-01-11T22:12:58.3752634Z [       OK ] LLVM.ShortAddTest (22 ms)
2023-01-11T22:12:58.3752911Z [ RUN      ] LLVM.IntAddTest
2023-01-11T22:12:58.3929179Z [       OK ] LLVM.IntAddTest (17 ms)
2023-01-11T22:12:58.3929595Z [ RUN      ] LLVM.LongAddTest
2023-01-11T22:12:58.4107386Z [       OK ] LLVM.LongAddTest (17 ms)
2023-01-11T22:12:58.4107715Z [ RUN      ] LLVM.FloatAddTest
2023-01-11T22:12:58.4285476Z [       OK ] LLVM.FloatAddTest (17 ms)
2023-01-11T22:12:58.4285824Z [ RUN      ] LLVM.DoubleAddTest
2023-01-11T22:12:58.4463428Z [       OK ] LLVM.DoubleAddTest (17 ms)
2023-01-11T22:12:58.4463782Z [ RUN      ] LLVM.HalfAddTest
2023-01-11T22:12:58.4641036Z [       OK ] LLVM.HalfAddTest (17 ms)
2023-01-11T22:12:58.4641450Z [ RUN      ] LLVM.ByteSubTest
2023-01-11T22:12:58.4817725Z [       OK ] LLVM.ByteSubTest (17 ms)
2023-01-11T22:12:58.4818034Z [ RUN      ] LLVM.CharSubTest
2023-01-11T22:12:58.4994835Z [       OK ] LLVM.CharSubTest (17 ms)
2023-01-11T22:12:58.4995087Z [ RUN      ] LLVM.ShortSubTest
2023-01-11T22:12:58.5172972Z [       OK ] LLVM.ShortSubTest (17 ms)
2023-01-11T22:12:58.5173241Z [ RUN      ] LLVM.IntSubTest
2023-01-11T22:12:58.5349639Z [       OK ] LLVM.IntSubTest (17 ms)
2023-01-11T22:12:58.5349917Z [ RUN      ] LLVM.LongSubTest
2023-01-11T22:12:58.5527494Z [       OK ] LLVM.LongSubTest (17 ms)
2023-01-11T22:12:58.5527797Z [ RUN      ] LLVM.FloatSubTest
2023-01-11T22:12:58.5704908Z [       OK ] LLVM.FloatSubTest (17 ms)
2023-01-11T22:12:58.5705265Z [ RUN      ] LLVM.DoubleSubTest
2023-01-11T22:12:58.5883595Z [       OK ] LLVM.DoubleSubTest (17 ms)
2023-01-11T22:12:58.5883912Z [ RUN      ] LLVM.HalfSubTest
2023-01-11T22:12:58.6062049Z [       OK ] LLVM.HalfSubTest (17 ms)
2023-01-11T22:12:58.6062383Z [ RUN      ] LLVM.ByteMulTest
2023-01-11T22:12:58.6239253Z [       OK ] LLVM.ByteMulTest (17 ms)
2023-01-11T22:12:58.6239588Z [ RUN      ] LLVM.CharMulTest
2023-01-11T22:12:58.6416731Z [       OK ] LLVM.CharMulTest (17 ms)
2023-01-11T22:12:58.6417073Z [ RUN      ] LLVM.ShortMulTest
2023-01-11T22:12:58.6594626Z [       OK ] LLVM.ShortMulTest (17 ms)
2023-01-11T22:12:58.6594938Z [ RUN      ] LLVM.IntMulTest
2023-01-11T22:12:58.6774588Z [       OK ] LLVM.IntMulTest (17 ms)
2023-01-11T22:12:58.6774853Z [ RUN      ] LLVM.LongMulTest
2023-01-11T22:12:58.6957183Z [       OK ] LLVM.LongMulTest (18 ms)
2023-01-11T22:12:58.6957483Z [ RUN      ] LLVM.FloatMulTest
2023-01-11T22:12:58.7136090Z [       OK ] LLVM.FloatMulTest (17 ms)
2023-01-11T22:12:58.7136597Z [ RUN      ] LLVM.DoubleMulTest
2023-01-11T22:12:58.7314926Z [       OK ] LLVM.DoubleMulTest (17 ms)
2023-01-11T22:12:58.7315205Z [ RUN      ] LLVM.HalfMulTest
2023-01-11T22:12:58.7493122Z [       OK ] LLVM.HalfMulTest (17 ms)
2023-01-11T22:12:58.7493399Z [ RUN      ] LLVM.ByteDivTest
2023-01-11T22:12:58.7670849Z [       OK ] LLVM.ByteDivTest (17 ms)
2023-01-11T22:12:58.7671121Z [ RUN      ] LLVM.CharDivTest
2023-01-11T22:12:58.7849631Z [       OK ] LLVM.CharDivTest (17 ms)
2023-01-11T22:12:58.7849909Z [ RUN      ] LLVM.ShortDivTest
2023-01-11T22:12:58.8027799Z [       OK ] LLVM.ShortDivTest (17 ms)
2023-01-11T22:12:58.8028105Z [ RUN      ] LLVM.IntDivTest
2023-01-11T22:12:58.8205621Z [       OK ] LLVM.IntDivTest (17 ms)
2023-01-11T22:12:58.8206053Z [ RUN      ] LLVM.LongDivTest
2023-01-11T22:12:58.8385167Z [       OK ] LLVM.LongDivTest (17 ms)
2023-01-11T22:12:58.8385669Z [ RUN      ] LLVM.FloatDivTest
2023-01-11T22:12:58.8565197Z [       OK ] LLVM.FloatDivTest (17 ms)
2023-01-11T22:12:58.8565681Z [ RUN      ] LLVM.DoubleDivTest
2023-01-11T22:12:58.8743080Z [       OK ] LLVM.DoubleDivTest (17 ms)
2023-01-11T22:12:58.8743570Z [ RUN      ] LLVM.HalfDivTest
2023-01-11T22:12:58.8920540Z [       OK ] LLVM.HalfDivTest (17 ms)
2023-01-11T22:12:58.8921050Z [ RUN      ] LLVM.IntToFloatCastTest
2023-01-11T22:12:58.9099184Z [       OK ] LLVM.IntToFloatCastTest (17 ms)
2023-01-11T22:12:58.9099726Z [ RUN      ] LLVM.FloatToIntCastTest
2023-01-11T22:12:58.9276697Z [       OK ] LLVM.FloatToIntCastTest (17 ms)
2023-01-11T22:12:58.9277252Z [ RUN      ] LLVM.IntToLongCastTest
2023-01-11T22:12:58.9454469Z [       OK ] LLVM.IntToLongCastTest (17 ms)
2023-01-11T22:12:58.9455009Z [ RUN      ] LLVM.ByteToCharCastTest
2023-01-11T22:12:58.9632493Z [       OK ] LLVM.ByteToCharCastTest (17 ms)
2023-01-11T22:12:58.9633040Z [ RUN      ] LLVM.HalfToLongCastTest
2023-01-11T22:12:58.9810454Z [       OK ] LLVM.HalfToLongCastTest (17 ms)
2023-01-11T22:12:58.9810989Z [ RUN      ] LLVM.ByteToDoubleCastTest
2023-01-11T22:12:58.9988569Z [       OK ] LLVM.ByteToDoubleCastTest (17 ms)
2023-01-11T22:12:58.9989117Z [ RUN      ] LLVM.FloatToByteCastTest
2023-01-11T22:12:59.0166042Z [       OK ] LLVM.FloatToByteCastTest (17 ms)
2023-01-11T22:12:59.0166543Z [ RUN      ] LLVM.FloatToCharCastTest
2023-01-11T22:12:59.0342443Z [       OK ] LLVM.FloatToCharCastTest (17 ms)
2023-01-11T22:12:59.0342977Z [ RUN      ] LLVM.ByteToFloatCastTest
2023-01-11T22:12:59.0521256Z [       OK ] LLVM.ByteToFloatCastTest (17 ms)
2023-01-11T22:12:59.0521811Z [ RUN      ] LLVM.CharToFloatCastTest
2023-01-11T22:12:59.0700062Z [       OK ] LLVM.CharToFloatCastTest (17 ms)
2023-01-11T22:12:59.0700579Z [ RUN      ] LLVM.BitCast
2023-01-11T22:12:59.1408929Z [       OK ] LLVM.BitCast (70 ms)
2023-01-11T22:12:59.1409392Z [ RUN      ] LLVM.fastLogFloat
2023-01-11T22:12:59.2020371Z [       OK ] LLVM.fastLogFloat (61 ms)
2023-01-11T22:12:59.2020859Z [ RUN      ] LLVM.LetTest01
2023-01-11T22:12:59.2200353Z [       OK ] LLVM.LetTest01 (18 ms)
2023-01-11T22:12:59.2200805Z [ RUN      ] LLVM.LetTest02
2023-01-11T22:12:59.2378531Z [       OK ] LLVM.LetTest02 (17 ms)
2023-01-11T22:12:59.2379053Z [ RUN      ] LLVM.LetTestMultitype
2023-01-11T22:12:59.2557148Z [       OK ] LLVM.LetTestMultitype (17 ms)
2023-01-11T22:12:59.2557663Z [ RUN      ] LLVM.BufferTest
2023-01-11T22:12:59.2735197Z [       OK ] LLVM.BufferTest (17 ms)
2023-01-11T22:12:59.2735685Z [ RUN      ] LLVM.BlockTest
2023-01-11T22:12:59.2914576Z [       OK ] LLVM.BlockTest (17 ms)
2023-01-11T22:12:59.2915180Z [ RUN      ] LLVM.LoadStoreTest
2023-01-11T22:12:59.3095673Z [       OK ] LLVM.LoadStoreTest (18 ms)
2023-01-11T22:12:59.3096161Z [ RUN      ] LLVM.IfThenElseTest
2023-01-11T22:12:59.3290577Z [       OK ] LLVM.IfThenElseTest (19 ms)
2023-01-11T22:12:59.3291140Z [ RUN      ] LLVM.CondNoFalseBlockTest
2023-01-11T22:12:59.3899864Z [       OK ] LLVM.CondNoFalseBlockTest (60 ms)
2023-01-11T22:12:59.3900373Z [ RUN      ] LLVM.CondTest
2023-01-11T22:12:59.4475610Z [       OK ] LLVM.CondTest (57 ms)
2023-01-11T22:12:59.4476120Z [ RUN      ] LLVM.CondNestedTest
2023-01-11T22:12:59.5285877Z [       OK ] LLVM.CondNestedTest (80 ms)
2023-01-11T22:12:59.5286383Z [ RUN      ] LLVM.DirectVectorization
2023-01-11T22:12:59.5537986Z [       OK ] LLVM.DirectVectorization (25 ms)
2023-01-11T22:12:59.5538504Z [ RUN      ] LLVM.VecLoadStoreTest
2023-01-11T22:12:59.5720703Z [       OK ] LLVM.VecLoadStoreTest (18 ms)
2023-01-11T22:12:59.5721366Z [ RUN      ] LLVM.VecFloat_erfLane4Test
2023-01-11T22:12:59.5907756Z [       OK ] LLVM.VecFloat_erfLane4Test (18 ms)
2023-01-11T22:12:59.5908279Z [ RUN      ] LLVM.VecFloat_erfcLane4Test
2023-01-11T22:12:59.6095679Z [       OK ] LLVM.VecFloat_erfcLane4Test (18 ms)
2023-01-11T22:12:59.6096197Z [ RUN      ] LLVM.VecFloat_acosLane4Test
2023-01-11T22:12:59.6295454Z [       OK ] LLVM.VecFloat_acosLane4Test (19 ms)
2023-01-11T22:12:59.6295993Z [ RUN      ] LLVM.VecFloat_asinLane4Test
2023-01-11T22:12:59.6482405Z [       OK ] LLVM.VecFloat_asinLane4Test (18 ms)
2023-01-11T22:12:59.6482941Z [ RUN      ] LLVM.VecFloat_atanLane4Test
2023-01-11T22:12:59.6669307Z [       OK ] LLVM.VecFloat_atanLane4Test (18 ms)
2023-01-11T22:12:59.6669837Z [ RUN      ] LLVM.VecFloat_coshLane4Test
2023-01-11T22:12:59.6855924Z [       OK ] LLVM.VecFloat_coshLane4Test (18 ms)
2023-01-11T22:12:59.6856467Z [ RUN      ] LLVM.VecFloat_sinhLane4Test
2023-01-11T22:12:59.7045979Z [       OK ] LLVM.VecFloat_sinhLane4Test (18 ms)
2023-01-11T22:12:59.7046277Z [ RUN      ] LLVM.VecFloat_tanhLane4Test
2023-01-11T22:12:59.7233584Z [       OK ] LLVM.VecFloat_tanhLane4Test (18 ms)
2023-01-11T22:12:59.7234224Z [ RUN      ] LLVM.VecFloat_expm1Lane4Test
2023-01-11T22:12:59.7420043Z [       OK ] LLVM.VecFloat_expm1Lane4Test (18 ms)
2023-01-11T22:12:59.7420390Z [ RUN      ] LLVM.VecFloat_lgammaLane4Test
2023-01-11T22:12:59.7606224Z [       OK ] LLVM.VecFloat_lgammaLane4Test (18 ms)
2023-01-11T22:12:59.7606541Z [ RUN      ] LLVM.VecFloat_erfLane8Test
2023-01-11T22:12:59.7791981Z [       OK ] LLVM.VecFloat_erfLane8Test (18 ms)
2023-01-11T22:12:59.7792271Z [ RUN      ] LLVM.VecFloat_erfcLane8Test
2023-01-11T22:12:59.7981128Z [       OK ] LLVM.VecFloat_erfcLane8Test (18 ms)
2023-01-11T22:12:59.7981462Z [ RUN      ] LLVM.VecFloat_acosLane8Test
2023-01-11T22:12:59.8168046Z [       OK ] LLVM.VecFloat_acosLane8Test (18 ms)
2023-01-11T22:12:59.8168343Z [ RUN      ] LLVM.VecFloat_asinLane8Test
2023-01-11T22:12:59.8354905Z [       OK ] LLVM.VecFloat_asinLane8Test (18 ms)
2023-01-11T22:12:59.8355210Z [ RUN      ] LLVM.VecFloat_atanLane8Test
2023-01-11T22:12:59.8541544Z [       OK ] LLVM.VecFloat_atanLane8Test (18 ms)
2023-01-11T22:12:59.8541866Z [ RUN      ] LLVM.VecFloat_coshLane8Test
2023-01-11T22:12:59.8727564Z [       OK ] LLVM.VecFloat_coshLane8Test (18 ms)
2023-01-11T22:12:59.8727864Z [ RUN      ] LLVM.VecFloat_sinhLane8Test
2023-01-11T22:12:59.8913807Z [       OK ] LLVM.VecFloat_sinhLane8Test (18 ms)
2023-01-11T22:12:59.8914200Z [ RUN      ] LLVM.VecFloat_tanhLane8Test
2023-01-11T22:12:59.9101940Z [       OK ] LLVM.VecFloat_tanhLane8Test (18 ms)
2023-01-11T22:12:59.9102302Z [ RUN      ] LLVM.VecFloat_expm1Lane8Test
2023-01-11T22:12:59.9288543Z [       OK ] LLVM.VecFloat_expm1Lane8Test (18 ms)
2023-01-11T22:12:59.9288872Z [ RUN      ] LLVM.VecFloat_lgammaLane8Test
2023-01-11T22:12:59.9476931Z [       OK ] LLVM.VecFloat_lgammaLane8Test (18 ms)
2023-01-11T22:12:59.9477336Z [ RUN      ] LLVM.VecDouble_erfLane2Test
2023-01-11T22:12:59.9676925Z [       OK ] LLVM.VecDouble_erfLane2Test (19 ms)
2023-01-11T22:12:59.9677232Z [ RUN      ] LLVM.VecDouble_erfcLane2Test
2023-01-11T22:12:59.9861479Z [       OK ] LLVM.VecDouble_erfcLane2Test (18 ms)
2023-01-11T22:12:59.9862008Z [ RUN      ] LLVM.VecDouble_acosLane2Test
2023-01-11T22:13:00.0047186Z [       OK ] LLVM.VecDouble_acosLane2Test (18 ms)
2023-01-11T22:13:00.0047600Z [ RUN      ] LLVM.VecDouble_asinLane2Test
2023-01-11T22:13:00.0231597Z [       OK ] LLVM.VecDouble_asinLane2Test (18 ms)
2023-01-11T22:13:00.0231966Z [ RUN      ] LLVM.VecDouble_atanLane2Test
2023-01-11T22:13:00.0416798Z [       OK ] LLVM.VecDouble_atanLane2Test (18 ms)
2023-01-11T22:13:00.0417124Z [ RUN      ] LLVM.VecDouble_coshLane2Test
2023-01-11T22:13:00.0601354Z [       OK ] LLVM.VecDouble_coshLane2Test (18 ms)
2023-01-11T22:13:00.0601720Z [ RUN      ] LLVM.VecDouble_sinhLane2Test
2023-01-11T22:13:00.0786640Z [       OK ] LLVM.VecDouble_sinhLane2Test (18 ms)
2023-01-11T22:13:00.0787004Z [ RUN      ] LLVM.VecDouble_tanhLane2Test
2023-01-11T22:13:00.0972903Z [       OK ] LLVM.VecDouble_tanhLane2Test (18 ms)
2023-01-11T22:13:00.0973272Z [ RUN      ] LLVM.VecDouble_expm1Lane2Test
2023-01-11T22:13:00.1158881Z [       OK ] LLVM.VecDouble_expm1Lane2Test (18 ms)
2023-01-11T22:13:00.1159319Z [ RUN      ] LLVM.VecDouble_lgammaLane2Test
2023-01-11T22:13:00.1344291Z [       OK ] LLVM.VecDouble_lgammaLane2Test (18 ms)
2023-01-11T22:13:00.1344652Z [ RUN      ] LLVM.VecDouble_erfLane4Test
2023-01-11T22:13:00.1530041Z [       OK ] LLVM.VecDouble_erfLane4Test (18 ms)
2023-01-11T22:13:00.1530348Z [ RUN      ] LLVM.VecDouble_erfcLane4Test
2023-01-11T22:13:00.1714718Z [       OK ] LLVM.VecDouble_erfcLane4Test (18 ms)
2023-01-11T22:13:00.1715086Z [ RUN      ] LLVM.VecDouble_acosLane4Test
2023-01-11T22:13:00.1901545Z [       OK ] LLVM.VecDouble_acosLane4Test (18 ms)
2023-01-11T22:13:00.1901898Z [ RUN      ] LLVM.VecDouble_asinLane4Test
2023-01-11T22:13:00.2089996Z [       OK ] LLVM.VecDouble_asinLane4Test (18 ms)
2023-01-11T22:13:00.2090604Z [ RUN      ] LLVM.VecDouble_atanLane4Test
2023-01-11T22:13:00.2280672Z [       OK ] LLVM.VecDouble_atanLane4Test (19 ms)
2023-01-11T22:13:00.2281220Z [ RUN      ] LLVM.VecDouble_coshLane4Test
2023-01-11T22:13:00.2470536Z [       OK ] LLVM.VecDouble_coshLane4Test (18 ms)
2023-01-11T22:13:00.2470875Z [ RUN      ] LLVM.VecDouble_sinhLane4Test
2023-01-11T22:13:00.2658143Z [       OK ] LLVM.VecDouble_sinhLane4Test (18 ms)
2023-01-11T22:13:00.2658426Z [ RUN      ] LLVM.VecDouble_tanhLane4Test
2023-01-11T22:13:00.2846029Z [       OK ] LLVM.VecDouble_tanhLane4Test (18 ms)
2023-01-11T22:13:00.2846617Z [ RUN      ] LLVM.VecDouble_expm1Lane4Test
2023-01-11T22:13:00.3033942Z [       OK ] LLVM.VecDouble_expm1Lane4Test (18 ms)
2023-01-11T22:13:00.3034598Z [ RUN      ] LLVM.VecDouble_lgammaLane4Test
2023-01-11T22:13:00.3223730Z [       OK ] LLVM.VecDouble_lgammaLane4Test (18 ms)
2023-01-11T22:13:00.3224418Z [ RUN      ] LLVM.VectorizerLoadStoreTest
2023-01-11T22:13:00.3408452Z [       OK ] LLVM.VectorizerLoadStoreTest (18 ms)
2023-01-11T22:13:00.3616693Z [ RUN      ] LLVM.VectorizeBitCast
2023-01-11T22:13:00.3617421Z [       OK ] LLVM.VectorizeBitCast (20 ms)
2023-01-11T22:13:00.3617886Z [ RUN      ] LLVM.MemcpyTest
2023-01-11T22:13:00.3818180Z [       OK ] LLVM.MemcpyTest (20 ms)
2023-01-11T22:13:00.4057674Z [ RUN      ] LLVM.BzeroTest
2023-01-11T22:13:00.4058187Z [       OK ] LLVM.BzeroTest (23 ms)
2023-01-11T22:13:00.4538859Z [ RUN      ] LLVM.ElemwiseAdd
2023-01-11T22:13:00.4539454Z [       OK ] LLVM.ElemwiseAdd (48 ms)
2023-01-11T22:13:00.4999115Z [ RUN      ] LLVM.ElemwiseAddFloat
2023-01-11T22:13:00.4999740Z [       OK ] LLVM.ElemwiseAddFloat (45 ms)
2023-01-11T22:13:00.5000347Z [ RUN      ] LLVM.ElemwiseLog10Float
2023-01-11T22:13:00.5224717Z [       OK ] LLVM.ElemwiseLog10Float (22 ms)
2023-01-11T22:13:00.5225281Z [ RUN      ] LLVM.ElemwiseLog1pFloat
2023-01-11T22:13:00.5446053Z [       OK ] LLVM.ElemwiseLog1pFloat (22 ms)
2023-01-11T22:13:00.5446370Z [ RUN      ] LLVM.ElemwiseMaxInt
2023-01-11T22:13:00.5758648Z [       OK ] LLVM.ElemwiseMaxInt (31 ms)
2023-01-11T22:13:00.5759006Z [ RUN      ] LLVM.ElemwiseMinInt
2023-01-11T22:13:00.6076201Z [       OK ] LLVM.ElemwiseMinInt (31 ms)
2023-01-11T22:13:00.6076508Z [ RUN      ] LLVM.ElemwiseMaxFloat
2023-01-11T22:13:00.6356750Z [       OK ] LLVM.ElemwiseMaxFloat (28 ms)
2023-01-11T22:13:00.6357084Z [ RUN      ] LLVM.ElemwiseMaxNaNFloat
2023-01-11T22:13:00.6634501Z [       OK ] LLVM.ElemwiseMaxNaNFloat (27 ms)
2023-01-11T22:13:00.6635009Z [ RUN      ] LLVM.ElemwiseMinFloat
2023-01-11T22:13:00.6912632Z [       OK ] LLVM.ElemwiseMinFloat (27 ms)
2023-01-11T22:13:00.6912969Z [ RUN      ] LLVM.ElemwiseMinNaNFloat
2023-01-11T22:13:00.7191207Z [       OK ] LLVM.ElemwiseMinNaNFloat (27 ms)
2023-01-11T22:13:00.7191498Z [ RUN      ] LLVM.ElemwiseMod
2023-01-11T22:13:00.7457050Z [       OK ] LLVM.ElemwiseMod (26 ms)
2023-01-11T22:13:00.7457354Z [ RUN      ] LLVM.CompareSelectIntEQ
2023-01-11T22:13:00.7781555Z [       OK ] LLVM.CompareSelectIntEQ (32 ms)
2023-01-11T22:13:00.7781899Z [ RUN      ] LLVM.CompareSelectFloatEQ
2023-01-11T22:13:00.8105462Z [       OK ] LLVM.CompareSelectFloatEQ (32 ms)
2023-01-11T22:13:00.8105776Z [ RUN      ] LLVM.CompareSelectByteGT
2023-01-11T22:13:00.8427321Z [       OK ] LLVM.CompareSelectByteGT (32 ms)
2023-01-11T22:13:00.8427809Z [ RUN      ] LLVM.CompareSelectByteGE
2023-01-11T22:13:00.8748931Z [       OK ] LLVM.CompareSelectByteGE (32 ms)
2023-01-11T22:13:00.8749455Z [ RUN      ] LLVM.CompareSelectByteLT
2023-01-11T22:13:00.9069974Z [       OK ] LLVM.CompareSelectByteLT (32 ms)
2023-01-11T22:13:00.9070482Z [ RUN      ] LLVM.CompareSelectByteLE
2023-01-11T22:13:00.9391511Z [       OK ] LLVM.CompareSelectByteLE (32 ms)
2023-01-11T22:13:00.9391966Z [ RUN      ] LLVM.StoreFloat
2023-01-11T22:13:00.9570497Z [       OK ] LLVM.StoreFloat (17 ms)
2023-01-11T22:13:00.9571002Z [ RUN      ] LLVM.SimpleMath01
2023-01-11T22:13:00.9930873Z [       OK ] LLVM.SimpleMath01 (36 ms)
2023-01-11T22:13:00.9931158Z [ RUN      ] LLVM.ComputeMul
2023-01-11T22:13:01.0389960Z [       OK ] LLVM.ComputeMul (45 ms)
2023-01-11T22:13:01.0390247Z [ RUN      ] LLVM.BroadcastAdd
2023-01-11T22:13:01.1475736Z [       OK ] LLVM.BroadcastAdd (108 ms)
2023-01-11T22:13:01.1476026Z [ RUN      ] LLVM.BitwiseOps
2023-01-11T22:13:01.1655015Z [       OK ] LLVM.BitwiseOps (17 ms)
2023-01-11T22:13:01.1655447Z [ RUN      ] LLVM.ArithmeticRightShift
2023-01-11T22:13:01.1831862Z [       OK ] LLVM.ArithmeticRightShift (17 ms)
2023-01-11T22:13:01.1832268Z [ RUN      ] LLVM.LogicalRightShift
2023-01-11T22:13:01.2009380Z [       OK ] LLVM.LogicalRightShift (17 ms)
2023-01-11T22:13:01.2009734Z [ RUN      ] LLVM.DynamicShapeAdd
2023-01-11T22:13:01.3286775Z [       OK ] LLVM.DynamicShapeAdd (127 ms)
2023-01-11T22:13:01.3287106Z [ RUN      ] LLVM.BindDynamicShapeAdd
2023-01-11T22:13:01.4606172Z [       OK ] LLVM.BindDynamicShapeAdd (131 ms)
2023-01-11T22:13:01.4606477Z [ RUN      ] LLVM.TensorDynamicShapeAdd
2023-01-11T22:13:01.5875880Z [       OK ] LLVM.TensorDynamicShapeAdd (126 ms)
2023-01-11T22:13:01.5876200Z [ RUN      ] LLVM.DynamicShape2D
2023-01-11T22:13:01.8014205Z [       OK ] LLVM.DynamicShape2D (213 ms)
2023-01-11T22:13:01.8014599Z [ RUN      ] LLVM.EmptyStmt
2023-01-11T22:13:01.8187447Z [       OK ] LLVM.EmptyStmt (17 ms)
2023-01-11T22:13:01.8188190Z [ RUN      ] LLVM.EliminatedStmt
2023-01-11T22:13:01.8362856Z [       OK ] LLVM.EliminatedStmt (17 ms)
2023-01-11T22:13:01.8363158Z [ RUN      ] LLVM.SimpleReduction
2023-01-11T22:13:01.9168261Z [       OK ] LLVM.SimpleReduction (80 ms)
2023-01-11T22:13:01.9168575Z [ RUN      ] LLVM.RFactorReduction
2023-01-11T22:13:01.9483113Z [       OK ] LLVM.RFactorReduction (31 ms)
2023-01-11T22:13:01.9483569Z [ RUN      ] LLVM.RFactorVectorizedReduction
2023-01-11T22:13:01.9972354Z [       OK ] LLVM.RFactorVectorizedReduction (48 ms)
2023-01-11T22:13:01.9972667Z [ RUN      ] LLVM.SimpleParallelSS
2023-01-11T22:13:02.0205456Z [       OK ] LLVM.SimpleParallelSS (23 ms)
2023-01-11T22:13:02.0205967Z [ RUN      ] LLVM.SimpleParallelSP
2023-01-11T22:13:02.0461491Z [       OK ] LLVM.SimpleParallelSP (25 ms)
2023-01-11T22:13:02.0461968Z [ RUN      ] LLVM.SimpleParallelPS
2023-01-11T22:13:02.0723175Z [       OK ] LLVM.SimpleParallelPS (26 ms)
2023-01-11T22:13:02.0723849Z [ RUN      ] LLVM.SimpleParallelPP
2023-01-11T22:13:02.0984155Z [       OK ] LLVM.SimpleParallelPP (26 ms)
2023-01-11T22:13:02.0984688Z [ RUN      ] LLVM.CompositeParallel
2023-01-11T22:13:05.0927645Z [       OK ] LLVM.CompositeParallel (2994 ms)
2023-01-11T22:13:05.0928020Z [ RUN      ] LLVM.VectorizedGEMM
2023-01-11T22:13:05.1731967Z [       OK ] LLVM.VectorizedGEMM (80 ms)
2023-01-11T22:13:05.1732440Z [ RUN      ] LLVM.CallRaw
2023-01-11T22:13:05.8328475Z [       OK ] LLVM.CallRaw (659 ms)
2023-01-11T22:13:05.8328786Z [ RUN      ] LLVM.CustomTarget
2023-01-11T22:13:05.8554494Z [       OK ] LLVM.CustomTarget (22 ms)
2023-01-11T22:13:05.8555038Z [ RUN      ] LLVM.CodeGenKernelFuncName
2023-01-11T22:13:05.8918355Z [       OK ] LLVM.CodeGenKernelFuncName (36 ms)
2023-01-11T22:13:05.8918983Z [----------] 150 tests from LLVM (7718 ms total)
2023-01-11T22:13:05.8919154Z 
2023-01-11T22:13:05.8919323Z [----------] Global test environment tear-down
2023-01-11T22:13:05.8993839Z [==========] 801 tests from 25 test suites ran. (25004 ms total)
2023-01-11T22:13:05.8994407Z [  PASSED  ] 801 tests.
2023-01-11T22:13:05.8994637Z 
2023-01-11T22:13:05.8994783Z   YOU HAVE 5 DISABLED TESTS
2023-01-11T22:13:05.8994907Z 
2023-01-11T22:13:05.9715034Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *android* ]]
2023-01-11T22:13:05.9715525Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *cuda* ]]
2023-01-11T22:13:05.9715881Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *asan* ]]
2023-01-11T22:13:05.9716325Z + build/bin/static_runtime_test --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/static_runtime_test.xml
2023-01-11T22:13:06.6215268Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2023-01-11T22:13:06.6216351Z [==========] Running 463 tests from 12 test suites.
2023-01-11T22:13:06.6216902Z [----------] Global test environment set-up.
2023-01-11T22:13:06.6217372Z [----------] 430 tests from StaticRuntime
2023-01-11T22:13:06.6217642Z [ RUN      ] StaticRuntime.UnaryOps
2023-01-11T22:13:06.8083156Z [       OK ] StaticRuntime.UnaryOps (186 ms)
2023-01-11T22:13:06.8083673Z [ RUN      ] StaticRuntime.Max
2023-01-11T22:13:06.8734455Z [       OK ] StaticRuntime.Max (65 ms)
2023-01-11T22:13:06.8734778Z [ RUN      ] StaticRuntime.Mean
2023-01-11T22:13:06.9333098Z [       OK ] StaticRuntime.Mean (59 ms)
2023-01-11T22:13:06.9333462Z [ RUN      ] StaticRuntime.Sigmoid
2023-01-11T22:13:07.0446993Z [       OK ] StaticRuntime.Sigmoid (111 ms)
2023-01-11T22:13:07.0447307Z [ RUN      ] StaticRuntime.Clone
2023-01-11T22:13:07.1876873Z [       OK ] StaticRuntime.Clone (142 ms)
2023-01-11T22:13:07.1877391Z [ RUN      ] StaticRuntime.Clamp
2023-01-11T22:13:07.2590264Z [       OK ] StaticRuntime.Clamp (71 ms)
2023-01-11T22:13:07.2590571Z [ RUN      ] StaticRuntime.ClampMinOnly
2023-01-11T22:13:07.2662085Z [       OK ] StaticRuntime.ClampMinOnly (7 ms)
2023-01-11T22:13:07.2662380Z [ RUN      ] StaticRuntime.ClampMaxOnly
2023-01-11T22:13:07.2734634Z [       OK ] StaticRuntime.ClampMaxOnly (7 ms)
2023-01-11T22:13:07.2734953Z [ RUN      ] StaticRuntime.ClampIntTensor
2023-01-11T22:13:07.2819565Z [       OK ] StaticRuntime.ClampIntTensor (8 ms)
2023-01-11T22:13:07.2819885Z [ RUN      ] StaticRuntime.LenWithTuple
2023-01-11T22:13:07.2846698Z [       OK ] StaticRuntime.LenWithTuple (2 ms)
2023-01-11T22:13:07.2847007Z [ RUN      ] StaticRuntime.LenWithTensor
2023-01-11T22:13:07.2861459Z [       OK ] StaticRuntime.LenWithTensor (1 ms)
2023-01-11T22:13:07.2861772Z [ RUN      ] StaticRuntime.LenWithStr
2023-01-11T22:13:07.2873857Z [       OK ] StaticRuntime.LenWithStr (1 ms)
2023-01-11T22:13:07.2874261Z [ RUN      ] StaticRuntime.LenWithDict_str
2023-01-11T22:13:07.2893349Z [       OK ] StaticRuntime.LenWithDict_str (1 ms)
2023-01-11T22:13:07.2893940Z [ RUN      ] StaticRuntime.LenWithDict_int
2023-01-11T22:13:07.2912569Z [       OK ] StaticRuntime.LenWithDict_int (1 ms)
2023-01-11T22:13:07.2913153Z [ RUN      ] StaticRuntime.LenWithDict_bool
2023-01-11T22:13:07.2932474Z [       OK ] StaticRuntime.LenWithDict_bool (1 ms)
2023-01-11T22:13:07.2933054Z [ RUN      ] StaticRuntime.LenWithDict_float
2023-01-11T22:13:07.2952516Z [       OK ] StaticRuntime.LenWithDict_float (1 ms)
2023-01-11T22:13:07.2953113Z [ RUN      ] StaticRuntime.LenWithDict_complex
2023-01-11T22:13:07.2973549Z [       OK ] StaticRuntime.LenWithDict_complex (2 ms)
2023-01-11T22:13:07.2974166Z [ RUN      ] StaticRuntime.LenWithDict_Tensor
2023-01-11T22:13:07.2998803Z [       OK ] StaticRuntime.LenWithDict_Tensor (2 ms)
2023-01-11T22:13:07.2999335Z [ RUN      ] StaticRuntime.Logit
2023-01-11T22:13:07.5008959Z [       OK ] StaticRuntime.Logit (200 ms)
2023-01-11T22:13:07.5009311Z [ RUN      ] StaticRuntime.EmbeddingBag
2023-01-11T22:13:07.6081280Z [       OK ] StaticRuntime.EmbeddingBag (107 ms)
2023-01-11T22:13:07.6081759Z [ RUN      ] StaticRuntime.EmbeddingBagWithManagedOutput
2023-01-11T22:13:07.6209901Z [       OK ] StaticRuntime.EmbeddingBagWithManagedOutput (12 ms)
2023-01-11T22:13:07.6210610Z [ RUN      ] StaticRuntime.EmbeddingBagWithExtraneousOutput
2023-01-11T22:13:07.6547928Z [       OK ] StaticRuntime.EmbeddingBagWithExtraneousOutput (33 ms)
2023-01-11T22:13:07.6548375Z [ RUN      ] StaticRuntime.LayerNorm
2023-01-11T22:13:07.6957895Z [       OK ] StaticRuntime.LayerNorm (41 ms)
2023-01-11T22:13:07.6958416Z [ RUN      ] StaticRuntime.Bmm
2023-01-11T22:13:07.7359649Z [       OK ] StaticRuntime.Bmm (40 ms)
2023-01-11T22:13:07.7360141Z [ RUN      ] StaticRuntime.Addmm
2023-01-11T22:13:07.7701536Z [       OK ] StaticRuntime.Addmm (34 ms)
2023-01-11T22:13:07.7702061Z [ RUN      ] StaticRuntime.Abs
2023-01-11T22:13:07.7766184Z [       OK ] StaticRuntime.Abs (6 ms)
2023-01-11T22:13:07.7766833Z [ RUN      ] StaticRuntime.Binary
2023-01-11T22:13:07.8109563Z [       OK ] StaticRuntime.Binary (34 ms)
2023-01-11T22:13:07.8110077Z [ RUN      ] StaticRuntime.MatMul
2023-01-11T22:13:07.8402536Z [       OK ] StaticRuntime.MatMul (29 ms)
2023-01-11T22:13:07.8403043Z [ RUN      ] StaticRuntime.Sign
2023-01-11T22:13:07.8475339Z [       OK ] StaticRuntime.Sign (7 ms)
2023-01-11T22:13:07.8475823Z [ RUN      ] StaticRuntime.Div
2023-01-11T22:13:07.9836983Z [       OK ] StaticRuntime.Div (135 ms)
2023-01-11T22:13:07.9837303Z [ RUN      ] StaticRuntime.Mul
2023-01-11T22:13:08.0001393Z [       OK ] StaticRuntime.Mul (16 ms)
2023-01-11T22:13:08.0001877Z [ RUN      ] StaticRuntime.Log
2023-01-11T22:13:08.0085690Z [       OK ] StaticRuntime.Log (8 ms)
2023-01-11T22:13:08.0085967Z [ RUN      ] StaticRuntime.Sub
2023-01-11T22:13:08.0386394Z [       OK ] StaticRuntime.Sub (30 ms)
2023-01-11T22:13:08.0386690Z [ RUN      ] StaticRuntime.NanToNum
2023-01-11T22:13:08.0462836Z [       OK ] StaticRuntime.NanToNum (7 ms)
2023-01-11T22:13:08.0463111Z [ RUN      ] StaticRuntime.Stack
2023-01-11T22:13:08.0752529Z [       OK ] StaticRuntime.Stack (28 ms)
2023-01-11T22:13:08.0752831Z [ RUN      ] StaticRuntime.ReLU
2023-01-11T22:13:08.1430727Z [       OK ] StaticRuntime.ReLU (67 ms)
2023-01-11T22:13:08.1431047Z [ RUN      ] StaticRuntime.Tanh
2023-01-11T22:13:08.2137846Z [       OK ] StaticRuntime.Tanh (70 ms)
2023-01-11T22:13:08.2138350Z [ RUN      ] StaticRuntime.Norm
2023-01-11T22:13:08.2445966Z [       OK ] StaticRuntime.Norm (30 ms)
2023-01-11T22:13:08.2446522Z [ RUN      ] StaticRuntime.Reshape
2023-01-11T22:13:08.5657883Z [       OK ] StaticRuntime.Reshape (321 ms)
2023-01-11T22:13:08.5658187Z [ RUN      ] StaticRuntime.Repeat
2023-01-11T22:13:08.5772026Z [       OK ] StaticRuntime.Repeat (11 ms)
2023-01-11T22:13:08.5772380Z [ RUN      ] StaticRuntime.Flatten
2023-01-11T22:13:08.6266929Z [       OK ] StaticRuntime.Flatten (49 ms)
2023-01-11T22:13:08.6267228Z [ RUN      ] StaticRuntime.pow
2023-01-11T22:13:08.6536702Z [       OK ] StaticRuntime.pow (27 ms)
2023-01-11T22:13:08.6537056Z [ RUN      ] StaticRuntime.to
2023-01-11T22:13:11.9181425Z [       OK ] StaticRuntime.to (3264 ms)
2023-01-11T22:13:11.9182004Z [ RUN      ] StaticRuntime.ExpandAs
2023-01-11T22:13:11.9253607Z [       OK ] StaticRuntime.ExpandAs (7 ms)
2023-01-11T22:13:11.9254113Z [ RUN      ] StaticRuntime.Full
2023-01-11T22:13:11.9357541Z [       OK ] StaticRuntime.Full (10 ms)
2023-01-11T22:13:11.9358061Z [ RUN      ] StaticRuntime.FullLike
2023-01-11T22:13:11.9464286Z [       OK ] StaticRuntime.FullLike (10 ms)
2023-01-11T22:13:11.9464806Z [ RUN      ] StaticRuntime.Ones
2023-01-11T22:13:11.9531053Z [       OK ] StaticRuntime.Ones (6 ms)
2023-01-11T22:13:11.9531564Z [ RUN      ] StaticRuntime.OnesLike
2023-01-11T22:13:11.9635748Z [       OK ] StaticRuntime.OnesLike (10 ms)
2023-01-11T22:13:11.9636243Z [ RUN      ] StaticRuntime.Zeros
2023-01-11T22:13:11.9749879Z [       OK ] StaticRuntime.Zeros (11 ms)
2023-01-11T22:13:11.9750177Z [ RUN      ] StaticRuntime.Linear
2023-01-11T22:13:11.9925771Z [       OK ] StaticRuntime.Linear (17 ms)
2023-01-11T22:13:11.9926090Z [ RUN      ] StaticRuntime.VarCat
2023-01-11T22:13:12.0310045Z [       OK ] StaticRuntime.VarCat (38 ms)
2023-01-11T22:13:12.0310348Z [ RUN      ] StaticRuntime.LeakyReLU
2023-01-11T22:13:12.0320824Z [       OK ] StaticRuntime.LeakyReLU (1 ms)
2023-01-11T22:13:12.0321186Z [ RUN      ] StaticRuntime.isinstance
2023-01-11T22:13:12.0441343Z [       OK ] StaticRuntime.isinstance (12 ms)
2023-01-11T22:13:12.0441665Z [ RUN      ] StaticRuntime.TypeCheck
2023-01-11T22:13:12.0493337Z [       OK ] StaticRuntime.TypeCheck (5 ms)
2023-01-11T22:13:12.0493627Z [ RUN      ] StaticRuntime.Index
2023-01-11T22:13:12.0716299Z [       OK ] StaticRuntime.Index (22 ms)
2023-01-11T22:13:12.0716596Z [ RUN      ] StaticRuntime.IndexSelect
2023-01-11T22:13:12.0785189Z [       OK ] StaticRuntime.IndexSelect (6 ms)
2023-01-11T22:13:12.0785544Z [ RUN      ] StaticRuntime.ClampMin
2023-01-11T22:13:12.0912413Z [       OK ] StaticRuntime.ClampMin (12 ms)
2023-01-11T22:13:12.0912717Z [ RUN      ] StaticRuntime.Argmin
2023-01-11T22:13:12.1113420Z [       OK ] StaticRuntime.Argmin (20 ms)
2023-01-11T22:13:12.1113724Z [ RUN      ] StaticRuntime.Softmax
2023-01-11T22:13:12.1340314Z [       OK ] StaticRuntime.Softmax (22 ms)
2023-01-11T22:13:12.1340788Z [ RUN      ] StaticRuntime.GetItem_Dict
2023-01-11T22:13:12.1432155Z [       OK ] StaticRuntime.GetItem_Dict (9 ms)
2023-01-11T22:13:12.1432460Z [ RUN      ] StaticRuntime.GetItem_List
2023-01-11T22:13:12.1524807Z [       OK ] StaticRuntime.GetItem_List (9 ms)
2023-01-11T22:13:12.1525110Z [ RUN      ] StaticRuntime.Transpose
2023-01-11T22:13:12.1594317Z [       OK ] StaticRuntime.Transpose (6 ms)
2023-01-11T22:13:12.1594604Z [ RUN      ] StaticRuntime.Permute
2023-01-11T22:13:12.1804346Z [       OK ] StaticRuntime.Permute (20 ms)
2023-01-11T22:13:12.1804648Z [ RUN      ] StaticRuntime.Slice
2023-01-11T22:13:12.1910767Z [       OK ] StaticRuntime.Slice (10 ms)
2023-01-11T22:13:12.1911276Z [ RUN      ] StaticRuntime.Narrow
2023-01-11T22:13:12.1988237Z [       OK ] StaticRuntime.Narrow (7 ms)
2023-01-11T22:13:12.1988580Z [ RUN      ] StaticRuntime.TupleUnpack
2023-01-11T22:13:12.2123506Z [       OK ] StaticRuntime.TupleUnpack (13 ms)
2023-01-11T22:13:12.2123817Z [ RUN      ] StaticRuntime.Append
2023-01-11T22:13:12.2202910Z [       OK ] StaticRuntime.Append (7 ms)
2023-01-11T22:13:12.2203224Z [ RUN      ] StaticRuntime.QuantizedLinear
2023-01-11T22:13:12.2344304Z [       OK ] StaticRuntime.QuantizedLinear (14 ms)
2023-01-11T22:13:12.2344694Z [ RUN      ] StaticRuntime.QuantizedLinearDynamicFp16
2023-01-11T22:13:12.2403935Z [       OK ] StaticRuntime.QuantizedLinearDynamicFp16 (5 ms)
2023-01-11T22:13:12.2404432Z [ RUN      ] StaticRuntime.QuantizedLinearReluDynamicFp16
2023-01-11T22:13:12.2453874Z [       OK ] StaticRuntime.QuantizedLinearReluDynamicFp16 (5 ms)
2023-01-11T22:13:12.2454281Z [ RUN      ] StaticRuntime.VarStack
2023-01-11T22:13:12.2943143Z [       OK ] StaticRuntime.VarStack (48 ms)
2023-01-11T22:13:12.2943513Z [ RUN      ] StaticRuntime.FmodTensor
2023-01-11T22:13:12.3025272Z [       OK ] StaticRuntime.FmodTensor (8 ms)
2023-01-11T22:13:12.3025844Z [ RUN      ] StaticRuntime.FmodScalar
2023-01-11T22:13:12.3164183Z [       OK ] StaticRuntime.FmodScalar (13 ms)
2023-01-11T22:13:12.3164849Z [ RUN      ] StaticRuntime.QEmbeddingBagBytePrepack
2023-01-11T22:13:12.3339848Z [       OK ] StaticRuntime.QEmbeddingBagBytePrepack (17 ms)
2023-01-11T22:13:12.3340651Z [ RUN      ] StaticRuntime.QEmbeddingBagByteUnpack
2023-01-11T22:13:12.3496575Z [       OK ] StaticRuntime.QEmbeddingBagByteUnpack (15 ms)
2023-01-11T22:13:12.3496982Z [ RUN      ] StaticRuntime.LinalgNorm_ScalarOrd
2023-01-11T22:13:12.3576795Z [       OK ] StaticRuntime.LinalgNorm_ScalarOrd (8 ms)
2023-01-11T22:13:12.3577127Z [ RUN      ] StaticRuntime.LinalgNorm_StringOrd
2023-01-11T22:13:12.3653779Z [       OK ] StaticRuntime.LinalgNorm_StringOrd (7 ms)
2023-01-11T22:13:12.3654119Z [ RUN      ] StaticRuntime.Index_Put
2023-01-11T22:13:12.3775728Z [       OK ] StaticRuntime.Index_Put (12 ms)
2023-01-11T22:13:12.3776015Z [ RUN      ] StaticRuntime.Item
2023-01-11T22:13:12.3794003Z [       OK ] StaticRuntime.Item (1 ms)
2023-01-11T22:13:12.3794433Z [ RUN      ] StaticRuntime.Tensor_Split
2023-01-11T22:13:12.3881580Z [       OK ] StaticRuntime.Tensor_Split (8 ms)
2023-01-11T22:13:12.3881883Z [ RUN      ] StaticRuntime.JIT_Aten_Cpu
2023-01-11T22:13:12.3906434Z [       OK ] StaticRuntime.JIT_Aten_Cpu (2 ms)
2023-01-11T22:13:12.3906959Z [ RUN      ] StaticRuntime.JIT_Aten_Numel
2023-01-11T22:13:12.3926590Z [       OK ] StaticRuntime.JIT_Aten_Numel (1 ms)
2023-01-11T22:13:12.3926875Z [ RUN      ] StaticRuntime.JIT_Aten_List
2023-01-11T22:13:12.3955081Z [       OK ] StaticRuntime.JIT_Aten_List (2 ms)
2023-01-11T22:13:12.3955406Z [ RUN      ] StaticRuntime.JIT_Aten_Range_Length
2023-01-11T22:13:12.3968413Z [       OK ] StaticRuntime.JIT_Aten_Range_Length (1 ms)
2023-01-11T22:13:12.3968687Z [ RUN      ] StaticRuntime.Cat
2023-01-11T22:13:12.4057504Z [       OK ] StaticRuntime.Cat (8 ms)
2023-01-11T22:13:12.4057783Z [ RUN      ] StaticRuntime.Cumsum
2023-01-11T22:13:12.4120155Z [       OK ] StaticRuntime.Cumsum (6 ms)
2023-01-11T22:13:12.4120458Z [ RUN      ] StaticRuntime.CumsumDtype
2023-01-11T22:13:12.4180786Z [       OK ] StaticRuntime.CumsumDtype (6 ms)
2023-01-11T22:13:12.4181089Z [ RUN      ] StaticRuntime.Nonzero
2023-01-11T22:13:12.4250598Z [       OK ] StaticRuntime.Nonzero (6 ms)
2023-01-11T22:13:12.4250900Z [ RUN      ] StaticRuntime.SignedLog1p
2023-01-11T22:13:12.5574733Z [       OK ] StaticRuntime.SignedLog1p (132 ms)
2023-01-11T22:13:12.5575272Z [ RUN      ] StaticRuntime.RemoveImmutableInputDictLookupsWithImmutableInputDict
2023-01-11T22:13:12.5664968Z [       OK ] StaticRuntime.RemoveImmutableInputDictLookupsWithImmutableInputDict (9 ms)
2023-01-11T22:13:12.5665616Z [ RUN      ] StaticRuntime.RemoveImmutableInputDictLookupsWithMutableInputDict
2023-01-11T22:13:12.5672987Z [       OK ] StaticRuntime.RemoveImmutableInputDictLookupsWithMutableInputDict (0 ms)
2023-01-11T22:13:12.5673425Z [ RUN      ] StaticRuntime.VarTupleUnpack
2023-01-11T22:13:12.6431369Z [       OK ] StaticRuntime.VarTupleUnpack (75 ms)
2023-01-11T22:13:12.6431754Z [ RUN      ] StaticRuntime.VarTupleUnpack_NotApplied
2023-01-11T22:13:12.6440548Z [       OK ] StaticRuntime.VarTupleUnpack_NotApplied (0 ms)
2023-01-11T22:13:12.6440899Z [ RUN      ] StaticRuntime.RemainderTensor
2023-01-11T22:13:12.6523019Z [       OK ] StaticRuntime.RemainderTensor (8 ms)
2023-01-11T22:13:12.6523348Z [ RUN      ] StaticRuntime.RemainderScalar
2023-01-11T22:13:12.6600308Z [       OK ] StaticRuntime.RemainderScalar (7 ms)
2023-01-11T22:13:12.6600602Z [ RUN      ] StaticRuntime.Where
2023-01-11T22:13:12.7526214Z [       OK ] StaticRuntime.Where (92 ms)
2023-01-11T22:13:12.7526541Z [ RUN      ] StaticRuntime.WhereBroadcast
2023-01-11T22:13:12.7647526Z [       OK ] StaticRuntime.WhereBroadcast (12 ms)
2023-01-11T22:13:12.7647808Z [ RUN      ] StaticRuntime.View
2023-01-11T22:13:12.7695162Z [       OK ] StaticRuntime.View (4 ms)
2023-01-11T22:13:12.7695446Z [ RUN      ] StaticRuntime.Size
2023-01-11T22:13:12.7774004Z [       OK ] StaticRuntime.Size (7 ms)
2023-01-11T22:13:12.7774290Z [ RUN      ] StaticRuntime.Squeeze
2023-01-11T22:13:12.7866764Z [       OK ] StaticRuntime.Squeeze (9 ms)
2023-01-11T22:13:12.7867082Z [ RUN      ] StaticRuntime.NumToTensorScalar
2023-01-11T22:13:12.7883222Z [       OK ] StaticRuntime.NumToTensorScalar (1 ms)
2023-01-11T22:13:12.7883709Z [ RUN      ] StaticRuntime.NumToTensorFalse
2023-01-11T22:13:12.7899736Z [       OK ] StaticRuntime.NumToTensorFalse (1 ms)
2023-01-11T22:13:12.7900064Z [ RUN      ] StaticRuntime.NumToTensorTrue
2023-01-11T22:13:12.7915949Z [       OK ] StaticRuntime.NumToTensorTrue (1 ms)
2023-01-11T22:13:12.7916254Z [ RUN      ] StaticRuntime.Split
2023-01-11T22:13:12.8017086Z [       OK ] StaticRuntime.Split (10 ms)
2023-01-11T22:13:12.8017382Z [ RUN      ] StaticRuntime.SplitWithSizes
2023-01-11T22:13:12.8114093Z [       OK ] StaticRuntime.SplitWithSizes (9 ms)
2023-01-11T22:13:12.8114695Z [ RUN      ] StaticRuntime.ModelCrashOnFirstRun
2023-01-11T22:13:12.8119894Z [       OK ] StaticRuntime.ModelCrashOnFirstRun (0 ms)
2023-01-11T22:13:12.8120253Z [ RUN      ] StaticRuntime.ModelCrashOnSecondRun
2023-01-11T22:13:12.8125738Z [       OK ] StaticRuntime.ModelCrashOnSecondRun (0 ms)
2023-01-11T22:13:12.8126130Z [ RUN      ] StaticRuntime.ModelCrashOnFirstRunWithBorrows
2023-01-11T22:13:12.8129653Z [       OK ] StaticRuntime.ModelCrashOnFirstRunWithBorrows (0 ms)
2023-01-11T22:13:12.8130097Z [ RUN      ] StaticRuntime.ModelCrashOnFirstRunWithBorrowedInputs
2023-01-11T22:13:12.8132872Z [       OK ] StaticRuntime.ModelCrashOnFirstRunWithBorrowedInputs (0 ms)
2023-01-11T22:13:12.8133263Z [ RUN      ] StaticRuntime.ReplaceWithMaybeCopy
2023-01-11T22:13:12.8138224Z [       OK ] StaticRuntime.ReplaceWithMaybeCopy (0 ms)
2023-01-11T22:13:12.8138532Z [ RUN      ] StaticRuntime.Int
2023-01-11T22:13:12.8158809Z [       OK ] StaticRuntime.Int (2 ms)
2023-01-11T22:13:12.8159093Z [ RUN      ] StaticRuntime.ReturnConstant
2023-01-11T22:13:12.8174168Z [       OK ] StaticRuntime.ReturnConstant (1 ms)
2023-01-11T22:13:12.8174478Z [ RUN      ] StaticRuntime.SimpleIf
2023-01-11T22:13:12.8290549Z [       OK ] StaticRuntime.SimpleIf (11 ms)
2023-01-11T22:13:12.8290870Z [ RUN      ] StaticRuntime.NestedIf
2023-01-11T22:13:12.8619291Z [       OK ] StaticRuntime.NestedIf (32 ms)
2023-01-11T22:13:12.8619643Z [ RUN      ] StaticRuntime.DeeplyNestedIf
2023-01-11T22:13:12.9719834Z [       OK ] StaticRuntime.DeeplyNestedIf (109 ms)
2023-01-11T22:13:12.9720258Z [ RUN      ] StaticRuntime.BasicForLoop
2023-01-11T22:13:12.9783714Z [       OK ] StaticRuntime.BasicForLoop (6 ms)
2023-01-11T22:13:12.9784276Z [ RUN      ] StaticRuntime.BasicWhileLoop
2023-01-11T22:13:12.9852018Z [       OK ] StaticRuntime.BasicWhileLoop (6 ms)
2023-01-11T22:13:12.9852567Z [ RUN      ] StaticRuntime.NestedLoops
2023-01-11T22:13:13.0067059Z [       OK ] StaticRuntime.NestedLoops (21 ms)
2023-01-11T22:13:13.0067561Z [ RUN      ] StaticRuntime.TupleIndex
2023-01-11T22:13:13.0092049Z [       OK ] StaticRuntime.TupleIndex (2 ms)
2023-01-11T22:13:13.0092370Z [ RUN      ] StaticRuntime.RaiseException
2023-01-11T22:13:13.0094405Z [       OK ] StaticRuntime.RaiseException (0 ms)
2023-01-11T22:13:13.0094716Z [ RUN      ] StaticRuntime.Uninitialized
2023-01-11T22:13:13.0096502Z [       OK ] StaticRuntime.Uninitialized (0 ms)
2023-01-11T22:13:13.0097042Z [ RUN      ] StaticRuntime.Format
2023-01-11T22:13:13.0124146Z [       OK ] StaticRuntime.Format (2 ms)
2023-01-11T22:13:13.0124650Z [ RUN      ] StaticRuntime.Device
2023-01-11T22:13:13.0144111Z [       OK ] StaticRuntime.Device (1 ms)
2023-01-11T22:13:13.0144647Z [ RUN      ] StaticRuntime.Dtype
2023-01-11T22:13:13.0165863Z [       OK ] StaticRuntime.Dtype (2 ms)
2023-01-11T22:13:13.0166371Z [ RUN      ] StaticRuntime.Dim
2023-01-11T22:13:13.0188539Z [       OK ] StaticRuntime.Dim (2 ms)
2023-01-11T22:13:13.0189041Z [ RUN      ] StaticRuntime.Not
2023-01-11T22:13:13.0206896Z [       OK ] StaticRuntime.Not (1 ms)
2023-01-11T22:13:13.0207425Z [ RUN      ] StaticRuntime.Bool
2023-01-11T22:13:13.0233580Z [       OK ] StaticRuntime.Bool (2 ms)
2023-01-11T22:13:13.0241364Z [ RUN      ] StaticRuntime.IsCuda
2023-01-11T22:13:13.0255964Z [       OK ] StaticRuntime.IsCuda (2 ms)
2023-01-11T22:13:13.0256512Z [ RUN      ] StaticRuntime.ToList
2023-01-11T22:13:13.0271951Z [       OK ] StaticRuntime.ToList (1 ms)
2023-01-11T22:13:13.0272474Z [ RUN      ] StaticRuntime.IfThenElse
2023-01-11T22:13:13.0310287Z [       OK ] StaticRuntime.IfThenElse (3 ms)
2023-01-11T22:13:13.0310750Z [ RUN      ] StaticRuntime.EmptyIfBlock
2023-01-11T22:13:13.0390066Z [       OK ] StaticRuntime.EmptyIfBlock (7 ms)
2023-01-11T22:13:13.0390638Z [ RUN      ] StaticRuntime.EmptyNestedIfBlock
2023-01-11T22:13:13.0474109Z [       OK ] StaticRuntime.EmptyNestedIfBlock (8 ms)
2023-01-11T22:13:13.0474844Z [ RUN      ] StaticRuntime.StackEmpty
2023-01-11T22:13:13.0849435Z [       OK ] StaticRuntime.StackEmpty (37 ms)
2023-01-11T22:13:13.0850006Z [ RUN      ] StaticRuntime.ConcatEmpty
2023-01-11T22:13:13.1246953Z [       OK ] StaticRuntime.ConcatEmpty (39 ms)
2023-01-11T22:13:13.1247511Z [ RUN      ] StaticRuntime.IntImplicit
2023-01-11T22:13:13.1260163Z [       OK ] StaticRuntime.IntImplicit (1 ms)
2023-01-11T22:13:13.1260776Z [ RUN      ] StaticRuntime.IntImplicit_ThrowOnBadInputs
2023-01-11T22:13:13.1262929Z [       OK ] StaticRuntime.IntImplicit_ThrowOnBadInputs (0 ms)
2023-01-11T22:13:13.1263493Z [ RUN      ] StaticRuntime.Select
2023-01-11T22:13:13.1283018Z [       OK ] StaticRuntime.Select (1 ms)
2023-01-11T22:13:13.1283697Z [ RUN      ] StaticRuntime.ReshapeAs
2023-01-11T22:13:13.1312453Z [       OK ] StaticRuntime.ReshapeAs (2 ms)
2023-01-11T22:13:13.1312973Z [ RUN      ] StaticRuntime.MoveCtor
2023-01-11T22:13:13.1333311Z [       OK ] StaticRuntime.MoveCtor (2 ms)
2023-01-11T22:13:13.1333925Z [ RUN      ] StaticRuntime.SingleBlockIfReturnList
2023-01-11T22:13:13.1461830Z [       OK ] StaticRuntime.SingleBlockIfReturnList (12 ms)
2023-01-11T22:13:13.1462469Z [ RUN      ] StaticRuntime.NestedBlockIfReturnList
2023-01-11T22:13:13.1719977Z [       OK ] StaticRuntime.NestedBlockIfReturnList (25 ms)
2023-01-11T22:13:13.1720535Z [ RUN      ] StaticRuntime.ClampNaNToNum
2023-01-11T22:13:13.2135356Z [       OK ] StaticRuntime.ClampNaNToNum (41 ms)
2023-01-11T22:13:13.2135901Z [ RUN      ] StaticRuntime.IfReturningTuple
2023-01-11T22:13:13.2168940Z [       OK ] StaticRuntime.IfReturningTuple (3 ms)
2023-01-11T22:13:13.2169501Z [ RUN      ] StaticRuntime.ModuleHasOp
2023-01-11T22:13:13.2179802Z [       OK ] StaticRuntime.ModuleHasOp (1 ms)
2023-01-11T22:13:13.2180432Z [ RUN      ] StaticRuntime.ReplaceWithCopy_replaces_reshape
2023-01-11T22:13:13.2185192Z [       OK ] StaticRuntime.ReplaceWithCopy_replaces_reshape (0 ms)
2023-01-11T22:13:13.2185844Z [ RUN      ] StaticRuntime.ReplaceWithCopy_does_not_replace_reshape_if_input_has_writters
2023-01-11T22:13:13.2193922Z [       OK ] StaticRuntime.ReplaceWithCopy_does_not_replace_reshape_if_input_has_writters (0 ms)
2023-01-11T22:13:13.2194579Z [ RUN      ] StaticRuntime.CanEnableStaticRuntime
2023-01-11T22:13:13.2200939Z [W impl.cpp:113] Found unsupported op: aten::__is__
2023-01-11T22:13:13.2202397Z [W impl.cpp:113] Found unsupported op: aten::__isnot__
2023-01-11T22:13:13.2203664Z [       OK ] StaticRuntime.CanEnableStaticRuntime (0 ms)
2023-01-11T22:13:13.2204311Z [ RUN      ] StaticRuntime.CanEnableStaticRuntimeSubBlocks
2023-01-11T22:13:13.2205011Z [W impl.cpp:113] Found unsupported op: aten::__is__
2023-01-11T22:13:13.2205713Z [       OK ] StaticRuntime.CanEnableStaticRuntimeSubBlocks (0 ms)
2023-01-11T22:13:13.2206138Z [ RUN      ] StaticRuntime.NestedOutput
2023-01-11T22:13:13.7186185Z [       OK ] StaticRuntime.NestedOutput (497 ms)
2023-01-11T22:13:13.7186548Z [ RUN      ] StaticRuntime.LongModel
2023-01-11T22:13:13.7199993Z [       OK ] StaticRuntime.LongModel (1 ms)
2023-01-11T22:13:13.7200303Z [ RUN      ] StaticRuntime.TrivialModel
2023-01-11T22:13:13.7215139Z [       OK ] StaticRuntime.TrivialModel (1 ms)
2023-01-11T22:13:13.7215434Z [ RUN      ] StaticRuntime.DeepWide
2023-01-11T22:13:14.3118797Z [       OK ] StaticRuntime.DeepWide (590 ms)
2023-01-11T22:13:14.3119333Z [ RUN      ] StaticRuntime.KWargsAPI_1
2023-01-11T22:13:14.7779811Z [       OK ] StaticRuntime.KWargsAPI_1 (466 ms)
2023-01-11T22:13:14.7780369Z [ RUN      ] StaticRuntime.KWargsAPI_2
2023-01-11T22:13:15.2464171Z [       OK ] StaticRuntime.KWargsAPI_2 (468 ms)
2023-01-11T22:13:15.2465079Z [ RUN      ] StaticRuntime.KWargsAPI_Optional
2023-01-11T22:13:15.2475647Z [       OK ] StaticRuntime.KWargsAPI_Optional (1 ms)
2023-01-11T22:13:15.2476026Z [ RUN      ] StaticRuntime.CleanUpMemory
2023-01-11T22:13:15.7272362Z [       OK ] StaticRuntime.CleanUpMemory (479 ms)
2023-01-11T22:13:15.7272747Z [ RUN      ] StaticRuntime.ManageOutputTensors
2023-01-11T22:13:15.7317083Z [       OK ] StaticRuntime.ManageOutputTensors (4 ms)
2023-01-11T22:13:15.7317603Z [ RUN      ] StaticRuntime.ManageOutputTensorsReturnsOutputContainingManagedOutputTensor
2023-01-11T22:13:15.7320341Z [       OK ] StaticRuntime.ManageOutputTensorsReturnsOutputContainingManagedOutputTensor (0 ms)
2023-01-11T22:13:15.7320933Z [ RUN      ] StaticRuntime.ManageOutputTensorsWithDeallocateOutputTensors
2023-01-11T22:13:15.7343273Z [       OK ] StaticRuntime.ManageOutputTensorsWithDeallocateOutputTensors (2 ms)
2023-01-11T22:13:15.7343809Z [ RUN      ] StaticRuntime.ManageOutputTensorsWithoutDeallocateOutputTensors
2023-01-11T22:13:15.7411202Z [       OK ] StaticRuntime.ManageOutputTensorsWithoutDeallocateOutputTensors (6 ms)
2023-01-11T22:13:15.7411812Z [ RUN      ] StaticRuntime.DisableManageOutputTensors
2023-01-11T22:13:15.7415165Z [       OK ] StaticRuntime.DisableManageOutputTensors (0 ms)
2023-01-11T22:13:15.7415720Z [ RUN      ] StaticRuntime.FusionPass
2023-01-11T22:13:16.2382972Z [       OK ] StaticRuntime.FusionPass (496 ms)
2023-01-11T22:13:16.2383360Z [ RUN      ] StaticRuntime.BadSchemaAliasInfo
2023-01-11T22:13:16.2416801Z [       OK ] StaticRuntime.BadSchemaAliasInfo (3 ms)
2023-01-11T22:13:16.2417371Z [ RUN      ] StaticRuntime.GoodSchemaAliasInfo
2023-01-11T22:13:16.2478709Z [       OK ] StaticRuntime.GoodSchemaAliasInfo (6 ms)
2023-01-11T22:13:16.2479286Z [ RUN      ] StaticRuntime.autogen_absolute
2023-01-11T22:13:16.3426248Z [       OK ] StaticRuntime.autogen_absolute (94 ms)
2023-01-11T22:13:16.3426752Z [ RUN      ] StaticRuntime.autogen_angle
2023-01-11T22:13:16.4263991Z [       OK ] StaticRuntime.autogen_angle (83 ms)
2023-01-11T22:13:16.4264531Z [ RUN      ] StaticRuntime.autogen_sgn
2023-01-11T22:13:16.5101638Z [       OK ] StaticRuntime.autogen_sgn (83 ms)
2023-01-11T22:13:16.5101940Z [ RUN      ] StaticRuntime.autogen_acos
2023-01-11T22:13:16.6082661Z [       OK ] StaticRuntime.autogen_acos (98 ms)
2023-01-11T22:13:16.6083022Z [ RUN      ] StaticRuntime.autogen_arccos
2023-01-11T22:13:16.7061202Z [       OK ] StaticRuntime.autogen_arccos (97 ms)
2023-01-11T22:13:16.7061537Z [ RUN      ] StaticRuntime.autogen__add_relu_Tensor
2023-01-11T22:13:16.8311305Z [       OK ] StaticRuntime.autogen__add_relu_Tensor (124 ms)
2023-01-11T22:13:16.8311714Z [ RUN      ] StaticRuntime.autogen_addmv
2023-01-11T22:13:16.8407825Z [       OK ] StaticRuntime.autogen_addmv (9 ms)
2023-01-11T22:13:16.8408377Z [ RUN      ] StaticRuntime.autogen_addr
2023-01-11T22:13:16.8510638Z [       OK ] StaticRuntime.autogen_addr (10 ms)
2023-01-11T22:13:16.8511137Z [ RUN      ] StaticRuntime.autogen_argmax
2023-01-11T22:13:16.8896201Z [       OK ] StaticRuntime.autogen_argmax (38 ms)
2023-01-11T22:13:16.8896687Z [ RUN      ] StaticRuntime.autogen_acosh
2023-01-11T22:13:16.8957195Z [       OK ] StaticRuntime.autogen_acosh (6 ms)
2023-01-11T22:13:16.8958016Z [ RUN      ] StaticRuntime.autogen_asinh
2023-01-11T22:13:16.9937569Z [       OK ] StaticRuntime.autogen_asinh (97 ms)
2023-01-11T22:13:16.9938019Z [ RUN      ] StaticRuntime.autogen_arcsinh
2023-01-11T22:13:17.0919817Z [       OK ] StaticRuntime.autogen_arcsinh (98 ms)
2023-01-11T22:13:17.0920145Z [ RUN      ] StaticRuntime.autogen_atanh
2023-01-11T22:13:17.1905564Z [       OK ] StaticRuntime.autogen_atanh (98 ms)
2023-01-11T22:13:17.1905868Z [ RUN      ] StaticRuntime.autogen_arctanh
2023-01-11T22:13:17.2883243Z [       OK ] StaticRuntime.autogen_arctanh (97 ms)
2023-01-11T22:13:17.2883683Z [ RUN      ] StaticRuntime.autogen_asin
2023-01-11T22:13:17.3880605Z [       OK ] StaticRuntime.autogen_asin (99 ms)
2023-01-11T22:13:17.3881155Z [ RUN      ] StaticRuntime.autogen_arcsin
2023-01-11T22:13:17.4875130Z [       OK ] StaticRuntime.autogen_arcsin (99 ms)
2023-01-11T22:13:17.4875463Z [ RUN      ] StaticRuntime.autogen_atan
2023-01-11T22:13:17.5868874Z [       OK ] StaticRuntime.autogen_atan (99 ms)
2023-01-11T22:13:17.5869197Z [ RUN      ] StaticRuntime.autogen_arctan
2023-01-11T22:13:17.6861710Z [       OK ] StaticRuntime.autogen_arctan (99 ms)
2023-01-11T22:13:17.6862016Z [ RUN      ] StaticRuntime.autogen_baddbmm
2023-01-11T22:13:17.8647285Z [       OK ] StaticRuntime.autogen_baddbmm (178 ms)
2023-01-11T22:13:17.8647633Z [ RUN      ] StaticRuntime.autogen_bitwise_not
2023-01-11T22:13:17.9622602Z [       OK ] StaticRuntime.autogen_bitwise_not (97 ms)
2023-01-11T22:13:17.9622948Z [ RUN      ] StaticRuntime.autogen_copysign_Tensor
2023-01-11T22:13:18.0877114Z [       OK ] StaticRuntime.autogen_copysign_Tensor (125 ms)
2023-01-11T22:13:18.0877464Z [ RUN      ] StaticRuntime.autogen_logical_not
2023-01-11T22:13:18.1697069Z [       OK ] StaticRuntime.autogen_logical_not (82 ms)
2023-01-11T22:13:18.1697421Z [ RUN      ] StaticRuntime.autogen_logical_xor
2023-01-11T22:13:18.2800746Z [       OK ] StaticRuntime.autogen_logical_xor (110 ms)
2023-01-11T22:13:18.2801087Z [ RUN      ] StaticRuntime.autogen_logical_and
2023-01-11T22:13:18.3903980Z [       OK ] StaticRuntime.autogen_logical_and (110 ms)
2023-01-11T22:13:18.3904314Z [ RUN      ] StaticRuntime.autogen_logical_or
2023-01-11T22:13:18.5008114Z [       OK ] StaticRuntime.autogen_logical_or (110 ms)
2023-01-11T22:13:18.5008421Z [ RUN      ] StaticRuntime.autogen_ceil
2023-01-11T22:13:18.5855441Z [       OK ] StaticRuntime.autogen_ceil (84 ms)
2023-01-11T22:13:18.5855794Z [ RUN      ] StaticRuntime.autogen_clamp_max
2023-01-11T22:13:18.6817951Z [       OK ] StaticRuntime.autogen_clamp_max (96 ms)
2023-01-11T22:13:18.6818316Z [ RUN      ] StaticRuntime.autogen_clamp_max_Tensor
2023-01-11T22:13:18.8088266Z [       OK ] StaticRuntime.autogen_clamp_max_Tensor (127 ms)
2023-01-11T22:13:18.8088660Z [ RUN      ] StaticRuntime.autogen_clip
2023-01-11T22:13:18.8927025Z [       OK ] StaticRuntime.autogen_clip (83 ms)
2023-01-11T22:13:18.8927373Z [ RUN      ] StaticRuntime.autogen_complex
2023-01-11T22:13:18.8934743Z [W Copy.cpp:276] Warning: Casting complex values to real discards the imaginary part (function operator())
2023-01-11T22:13:19.0175432Z [       OK ] StaticRuntime.autogen_complex (124 ms)
2023-01-11T22:13:19.0175771Z [ RUN      ] StaticRuntime.autogen_polar
2023-01-11T22:13:19.1428124Z [       OK ] StaticRuntime.autogen_polar (125 ms)
2023-01-11T22:13:19.1428451Z [ RUN      ] StaticRuntime.autogen_cos
2023-01-11T22:13:19.2419037Z [       OK ] StaticRuntime.autogen_cos (99 ms)
2023-01-11T22:13:19.2419358Z [ RUN      ] StaticRuntime.autogen_cosh
2023-01-11T22:13:19.3363601Z [       OK ] StaticRuntime.autogen_cosh (94 ms)
2023-01-11T22:13:19.3364171Z [ RUN      ] StaticRuntime.autogen_cumprod
2023-01-11T22:13:19.4416672Z [       OK ] StaticRuntime.autogen_cumprod (105 ms)
2023-01-11T22:13:19.4416978Z [ RUN      ] StaticRuntime.autogen_diff
2023-01-11T22:13:19.7135898Z [       OK ] StaticRuntime.autogen_diff (271 ms)
2023-01-11T22:13:19.7136255Z [ RUN      ] StaticRuntime.autogen_divide_Tensor
2023-01-11T22:13:19.8442168Z [       OK ] StaticRuntime.autogen_divide_Tensor (130 ms)
2023-01-11T22:13:19.8442535Z [ RUN      ] StaticRuntime.autogen_true_divide_Tensor
2023-01-11T22:13:19.9758242Z [       OK ] StaticRuntime.autogen_true_divide_Tensor (131 ms)
2023-01-11T22:13:19.9758585Z [ RUN      ] StaticRuntime.autogen_dot
2023-01-11T22:13:19.9813001Z [       OK ] StaticRuntime.autogen_dot (5 ms)
2023-01-11T22:13:19.9813314Z [ RUN      ] StaticRuntime.autogen_vdot
2023-01-11T22:13:19.9866998Z [       OK ] StaticRuntime.autogen_vdot (5 ms)
2023-01-11T22:13:19.9867303Z [ RUN      ] StaticRuntime.autogen_erf
2023-01-11T22:13:20.0862221Z [       OK ] StaticRuntime.autogen_erf (99 ms)
2023-01-11T22:13:20.0862546Z [ RUN      ] StaticRuntime.autogen_erfc
2023-01-11T22:13:20.1854932Z [       OK ] StaticRuntime.autogen_erfc (99 ms)
2023-01-11T22:13:20.1855285Z [ RUN      ] StaticRuntime.autogen_exp
2023-01-11T22:13:20.2811207Z [       OK ] StaticRuntime.autogen_exp (95 ms)
2023-01-11T22:13:20.2811544Z [ RUN      ] StaticRuntime.autogen_exp2
2023-01-11T22:13:20.3731557Z [       OK ] StaticRuntime.autogen_exp2 (92 ms)
2023-01-11T22:13:20.3731886Z [ RUN      ] StaticRuntime.autogen_expm1
2023-01-11T22:13:20.4711537Z [       OK ] StaticRuntime.autogen_expm1 (97 ms)
2023-01-11T22:13:20.4711842Z [ RUN      ] StaticRuntime.autogen_floor
2023-01-11T22:13:20.5549684Z [       OK ] StaticRuntime.autogen_floor (83 ms)
2023-01-11T22:13:20.5550028Z [ RUN      ] StaticRuntime.autogen_frac
2023-01-11T22:13:20.6521086Z [       OK ] StaticRuntime.autogen_frac (97 ms)
2023-01-11T22:13:20.6521406Z [ RUN      ] StaticRuntime.autogen_gcd
2023-01-11T22:13:20.7783071Z [       OK ] StaticRuntime.autogen_gcd (126 ms)
2023-01-11T22:13:20.7783386Z [ RUN      ] StaticRuntime.autogen_lcm
2023-01-11T22:13:20.9228064Z [       OK ] StaticRuntime.autogen_lcm (144 ms)
2023-01-11T22:13:20.9228397Z [ RUN      ] StaticRuntime.autogen_index_copy
2023-01-11T22:13:20.9280048Z [       OK ] StaticRuntime.autogen_index_copy (5 ms)
2023-01-11T22:13:20.9280390Z [ RUN      ] StaticRuntime.autogen_isin_Tensor_Tensor
2023-01-11T22:13:21.1098494Z [       OK ] StaticRuntime.autogen_isin_Tensor_Tensor (181 ms)
2023-01-11T22:13:21.1912890Z [ RUN      ] StaticRuntime.autogen_isin_Tensor_Scalar
2023-01-11T22:13:21.1913287Z [       OK ] StaticRuntime.autogen_isin_Tensor_Scalar (81 ms)
2023-01-11T22:13:21.1913633Z [ RUN      ] StaticRuntime.autogen_isin_Scalar_Tensor
2023-01-11T22:13:21.2514290Z [       OK ] StaticRuntime.autogen_isin_Scalar_Tensor (60 ms)
2023-01-11T22:13:21.2514624Z [ RUN      ] StaticRuntime.autogen_kron
2023-01-11T22:24:15.5304594Z [       OK ] StaticRuntime.autogen_kron (654278 ms)
2023-01-11T22:24:15.5305197Z [ RUN      ] StaticRuntime.autogen_ldexp_Tensor
2023-01-11T22:24:15.6607124Z [       OK ] StaticRuntime.autogen_ldexp_Tensor (130 ms)
2023-01-11T22:24:15.6607515Z [ RUN      ] StaticRuntime.autogen_log10
2023-01-11T22:24:15.7663874Z [       OK ] StaticRuntime.autogen_log10 (105 ms)
2023-01-11T22:24:15.7664199Z [ RUN      ] StaticRuntime.autogen_log1p
2023-01-11T22:24:15.8657789Z [       OK ] StaticRuntime.autogen_log1p (99 ms)
2023-01-11T22:24:15.8658334Z [ RUN      ] StaticRuntime.autogen_log2
2023-01-11T22:24:15.9709581Z [       OK ] StaticRuntime.autogen_log2 (105 ms)
2023-01-11T22:24:15.9710011Z [ RUN      ] StaticRuntime.autogen_logaddexp
2023-01-11T22:24:16.0961848Z [       OK ] StaticRuntime.autogen_logaddexp (125 ms)
2023-01-11T22:24:16.0962241Z [ RUN      ] StaticRuntime.autogen_logaddexp2
2023-01-11T22:24:16.2220976Z [       OK ] StaticRuntime.autogen_logaddexp2 (125 ms)
2023-01-11T22:24:16.2221697Z [ RUN      ] StaticRuntime.autogen_xlogy_Tensor
2023-01-11T22:24:16.3555916Z [       OK ] StaticRuntime.autogen_xlogy_Tensor (133 ms)
2023-01-11T22:24:16.3556412Z [ RUN      ] StaticRuntime.autogen__log_softmax
2023-01-11T22:24:16.4498162Z [       OK ] StaticRuntime.autogen__log_softmax (94 ms)
2023-01-11T22:24:16.4498535Z [ RUN      ] StaticRuntime.autogen__log_softmax_backward_data
2023-01-11T22:24:16.6014852Z [       OK ] StaticRuntime.autogen__log_softmax_backward_data (151 ms)
2023-01-11T22:24:16.6015262Z [ RUN      ] StaticRuntime.autogen__logcumsumexp
2023-01-11T22:24:16.6977052Z [       OK ] StaticRuntime.autogen__logcumsumexp (96 ms)
2023-01-11T22:24:16.6977438Z [ RUN      ] StaticRuntime.autogen_logcumsumexp
2023-01-11T22:24:16.7941273Z [       OK ] StaticRuntime.autogen_logcumsumexp (96 ms)
2023-01-11T22:24:16.7941662Z [ RUN      ] StaticRuntime.autogen_matrix_power
2023-01-11T22:24:16.8893508Z [       OK ] StaticRuntime.autogen_matrix_power (95 ms)
2023-01-11T22:24:16.8893911Z [ RUN      ] StaticRuntime.autogen_mm
2023-01-11T22:24:16.9096240Z [       OK ] StaticRuntime.autogen_mm (20 ms)
2023-01-11T22:24:16.9096751Z [ RUN      ] StaticRuntime.autogen_multiply_Tensor
2023-01-11T22:24:17.0362464Z [       OK ] StaticRuntime.autogen_multiply_Tensor (126 ms)
2023-01-11T22:24:17.0434670Z [ RUN      ] StaticRuntime.autogen_mv
2023-01-11T22:24:17.0435018Z [       OK ] StaticRuntime.autogen_mv (7 ms)
2023-01-11T22:24:17.0435334Z [ RUN      ] StaticRuntime.autogen_mvlgamma
2023-01-11T22:24:17.1439717Z [       OK ] StaticRuntime.autogen_mvlgamma (100 ms)
2023-01-11T22:24:17.1440047Z [ RUN      ] StaticRuntime.autogen_rad2deg
2023-01-11T22:24:17.2670717Z [       OK ] StaticRuntime.autogen_rad2deg (123 ms)
2023-01-11T22:24:17.2671028Z [ RUN      ] StaticRuntime.autogen_deg2rad
2023-01-11T22:24:17.3651599Z [       OK ] StaticRuntime.autogen_deg2rad (98 ms)
2023-01-11T22:24:17.3651958Z [ RUN      ] StaticRuntime.autogen_reciprocal
2023-01-11T22:24:17.4662644Z [       OK ] StaticRuntime.autogen_reciprocal (101 ms)
2023-01-11T22:24:17.4662971Z [ RUN      ] StaticRuntime.autogen_neg
2023-01-11T22:24:17.5625575Z [       OK ] StaticRuntime.autogen_neg (96 ms)
2023-01-11T22:24:17.5625948Z [ RUN      ] StaticRuntime.autogen_negative
2023-01-11T22:24:17.6602215Z [       OK ] StaticRuntime.autogen_negative (97 ms)
2023-01-11T22:24:17.6602720Z [ RUN      ] StaticRuntime.autogen_round
2023-01-11T22:24:17.7451106Z [       OK ] StaticRuntime.autogen_round (84 ms)
2023-01-11T22:24:17.7451602Z [ RUN      ] StaticRuntime.autogen_round_decimals
2023-01-11T22:24:17.8396132Z [       OK ] StaticRuntime.autogen_round_decimals (94 ms)
2023-01-11T22:24:17.8396669Z [ RUN      ] StaticRuntime.autogen_gelu
2023-01-11T22:24:17.9383283Z [       OK ] StaticRuntime.autogen_gelu (98 ms)
2023-01-11T22:24:17.9383790Z [ RUN      ] StaticRuntime.autogen_gelu_backward
2023-01-11T22:24:18.0674062Z [       OK ] StaticRuntime.autogen_gelu_backward (129 ms)
2023-01-11T22:24:18.0674706Z [ RUN      ] StaticRuntime.autogen_hardshrink
2023-01-11T22:24:18.1507181Z [       OK ] StaticRuntime.autogen_hardshrink (83 ms)
2023-01-11T22:24:18.1507812Z [ RUN      ] StaticRuntime.autogen_hardshrink_backward
2023-01-11T22:24:18.2634262Z [       OK ] StaticRuntime.autogen_hardshrink_backward (112 ms)
2023-01-11T22:24:18.2634988Z [ RUN      ] StaticRuntime.autogen_rsqrt
2023-01-11T22:24:18.3557885Z [       OK ] StaticRuntime.autogen_rsqrt (92 ms)
2023-01-11T22:24:18.3558432Z [ RUN      ] StaticRuntime.autogen_silu
2023-01-11T22:24:18.4537243Z [       OK ] StaticRuntime.autogen_silu (97 ms)
2023-01-11T22:24:18.4538087Z [ RUN      ] StaticRuntime.autogen_silu_backward
2023-01-11T22:24:18.5812951Z [       OK ] StaticRuntime.autogen_silu_backward (127 ms)
2023-01-11T22:24:18.5813660Z [ RUN      ] StaticRuntime.autogen_mish
2023-01-11T22:24:18.6799874Z [       OK ] StaticRuntime.autogen_mish (98 ms)
2023-01-11T22:24:18.6800379Z [ RUN      ] StaticRuntime.autogen_sin
2023-01-11T22:24:18.7794562Z [       OK ] StaticRuntime.autogen_sin (99 ms)
2023-01-11T22:24:18.7795081Z [ RUN      ] StaticRuntime.autogen_sinc
2023-01-11T22:24:18.8756241Z [       OK ] StaticRuntime.autogen_sinc (96 ms)
2023-01-11T22:24:18.8756738Z [ RUN      ] StaticRuntime.autogen_sinh
2023-01-11T22:24:18.9739952Z [       OK ] StaticRuntime.autogen_sinh (98 ms)
2023-01-11T22:24:19.0681760Z [ RUN      ] StaticRuntime.autogen__softmax
2023-01-11T22:24:19.0682301Z [       OK ] StaticRuntime.autogen__softmax (94 ms)
2023-01-11T22:24:19.0682816Z [ RUN      ] StaticRuntime.autogen__softmax_backward_data
2023-01-11T22:24:19.1971281Z [       OK ] StaticRuntime.autogen__softmax_backward_data (128 ms)
2023-01-11T22:24:19.1971805Z [ RUN      ] StaticRuntime.autogen_sqrt
2023-01-11T22:24:19.2941575Z [       OK ] StaticRuntime.autogen_sqrt (97 ms)
2023-01-11T22:24:19.2942112Z [ RUN      ] StaticRuntime.autogen_square
2023-01-11T22:24:19.3975507Z [       OK ] StaticRuntime.autogen_square (103 ms)
2023-01-11T22:24:19.3976038Z [ RUN      ] StaticRuntime.autogen_prod
2023-01-11T22:24:19.4313739Z [       OK ] StaticRuntime.autogen_prod (33 ms)
2023-01-11T22:24:19.4314502Z [ RUN      ] StaticRuntime.autogen_prod_dim_int
2023-01-11T22:24:19.4696687Z [       OK ] StaticRuntime.autogen_prod_dim_int (38 ms)
2023-01-11T22:24:19.4697232Z [ RUN      ] StaticRuntime.autogen_tan
2023-01-11T22:24:19.5691988Z [       OK ] StaticRuntime.autogen_tan (99 ms)
2023-01-11T22:24:19.5692505Z [ RUN      ] StaticRuntime.autogen_threshold
2023-01-11T22:24:19.6526264Z [       OK ] StaticRuntime.autogen_threshold (83 ms)
2023-01-11T22:24:19.6526827Z [ RUN      ] StaticRuntime.autogen_threshold_backward
2023-01-11T22:24:19.7651022Z [       OK ] StaticRuntime.autogen_threshold_backward (112 ms)
2023-01-11T22:24:19.7651531Z [ RUN      ] StaticRuntime.autogen_trunc
2023-01-11T22:24:19.8490342Z [       OK ] StaticRuntime.autogen_trunc (83 ms)
2023-01-11T22:24:19.8490855Z [ RUN      ] StaticRuntime.autogen_fix
2023-01-11T22:24:19.9327771Z [       OK ] StaticRuntime.autogen_fix (83 ms)
2023-01-11T22:24:19.9328304Z [ RUN      ] StaticRuntime.autogen_nuclear_norm
2023-01-11T22:24:19.9330593Z [W LinearAlgebra.cpp:2837] Warning: at::nuclear_norm is deprecated and it is just left for JIT compatibility. It will be removed in a future PyTorch release. Please use `linalg.matrix_norm(A, 'nuc', dim, keepdim)` instead (function operator())
2023-01-11T22:24:19.9356857Z [W LinearAlgebra.cpp:2825] Warning: at::nuclear_norm is deprecated and it is just left for JIT compatibility. It will be removed in a future PyTorch release. Please use `linalg.matrix_norm(A, 'nuc', dim, keepdim)` instead (function operator())
2023-01-11T22:24:19.9462405Z [       OK ] StaticRuntime.autogen_nuclear_norm (13 ms)
2023-01-11T22:24:19.9462750Z [ RUN      ] StaticRuntime.autogen_subtract_Tensor
2023-01-11T22:24:20.0697561Z [       OK ] StaticRuntime.autogen_subtract_Tensor (123 ms)
2023-01-11T22:24:20.0698042Z [ RUN      ] StaticRuntime.autogen_heaviside
2023-01-11T22:24:20.1803954Z [       OK ] StaticRuntime.autogen_heaviside (110 ms)
2023-01-11T22:24:20.1804296Z [ RUN      ] StaticRuntime.autogen__addmm_activation
2023-01-11T22:24:20.2065621Z [       OK ] StaticRuntime.autogen__addmm_activation (26 ms)
2023-01-11T22:24:20.2066175Z [ RUN      ] StaticRuntime.autogen_index_add
2023-01-11T22:24:20.2114993Z [       OK ] StaticRuntime.autogen_index_add (4 ms)
2023-01-11T22:24:20.2115344Z [ RUN      ] StaticRuntime.autogen_scatter_src
2023-01-11T22:24:20.2211208Z [       OK ] StaticRuntime.autogen_scatter_src (9 ms)
2023-01-11T22:24:20.2211631Z [ RUN      ] StaticRuntime.autogen_scatter_value
2023-01-11T22:24:20.2283944Z [       OK ] StaticRuntime.autogen_scatter_value (7 ms)
2023-01-11T22:24:20.2284499Z [ RUN      ] StaticRuntime.autogen_scatter_reduce
2023-01-11T22:24:20.2366920Z [       OK ] StaticRuntime.autogen_scatter_reduce (8 ms)
2023-01-11T22:24:20.2367515Z [ RUN      ] StaticRuntime.autogen_scatter_value_reduce
2023-01-11T22:24:20.2441874Z [       OK ] StaticRuntime.autogen_scatter_value_reduce (7 ms)
2023-01-11T22:24:20.2442398Z [ RUN      ] StaticRuntime.autogen_scatter_add
2023-01-11T22:24:20.2522515Z [       OK ] StaticRuntime.autogen_scatter_add (8 ms)
2023-01-11T22:24:20.2523097Z [ RUN      ] StaticRuntime.autogen_scatter_reduce_two
2023-01-11T22:24:20.2525701Z [W TensorAdvancedIndexing.cpp:1739] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2023-01-11T22:24:20.4067959Z [       OK ] StaticRuntime.autogen_scatter_reduce_two (154 ms)
2023-01-11T22:24:20.4068374Z [ RUN      ] StaticRuntime.autogen_eq_Scalar
2023-01-11T22:24:20.4884904Z [       OK ] StaticRuntime.autogen_eq_Scalar (81 ms)
2023-01-11T22:24:20.4885331Z [ RUN      ] StaticRuntime.autogen_eq_Tensor
2023-01-11T22:24:20.5992773Z [       OK ] StaticRuntime.autogen_eq_Tensor (110 ms)
2023-01-11T22:24:20.5993371Z [ RUN      ] StaticRuntime.autogen_bitwise_and_Tensor
2023-01-11T22:24:20.7257481Z [       OK ] StaticRuntime.autogen_bitwise_and_Tensor (126 ms)
2023-01-11T22:24:20.7257901Z [ RUN      ] StaticRuntime.autogen_bitwise_or_Tensor
2023-01-11T22:24:20.8578590Z [       OK ] StaticRuntime.autogen_bitwise_or_Tensor (132 ms)
2023-01-11T22:24:20.8578939Z [ RUN      ] StaticRuntime.autogen_bitwise_xor_Tensor
2023-01-11T22:24:20.9895787Z [       OK ] StaticRuntime.autogen_bitwise_xor_Tensor (131 ms)
2023-01-11T22:24:20.9896152Z [ RUN      ] StaticRuntime.autogen_bitwise_left_shift_Tensor
2023-01-11T22:24:21.1462101Z [       OK ] StaticRuntime.autogen_bitwise_left_shift_Tensor (156 ms)
2023-01-11T22:24:21.1462499Z [ RUN      ] StaticRuntime.autogen_bitwise_right_shift_Tensor
2023-01-11T22:24:21.3271033Z [       OK ] StaticRuntime.autogen_bitwise_right_shift_Tensor (180 ms)
2023-01-11T22:24:21.3271371Z [ RUN      ] StaticRuntime.autogen_tril
2023-01-11T22:24:21.4225793Z [       OK ] StaticRuntime.autogen_tril (95 ms)
2023-01-11T22:24:21.4226127Z [ RUN      ] StaticRuntime.autogen_triu
2023-01-11T22:24:21.5172848Z [       OK ] StaticRuntime.autogen_triu (94 ms)
2023-01-11T22:24:21.5173218Z [ RUN      ] StaticRuntime.autogen_digamma
2023-01-11T22:24:21.6144352Z [       OK ] StaticRuntime.autogen_digamma (97 ms)
2023-01-11T22:24:21.6144715Z [ RUN      ] StaticRuntime.autogen_lerp_Scalar
2023-01-11T22:24:21.7413357Z [       OK ] StaticRuntime.autogen_lerp_Scalar (126 ms)
2023-01-11T22:24:21.7413704Z [ RUN      ] StaticRuntime.autogen_lerp_Tensor
2023-01-11T22:24:21.8973136Z [       OK ] StaticRuntime.autogen_lerp_Tensor (155 ms)
2023-01-11T22:24:21.8973718Z [ RUN      ] StaticRuntime.autogen_addbmm
2023-01-11T22:24:21.9729099Z [       OK ] StaticRuntime.autogen_addbmm (75 ms)
2023-01-11T22:24:21.9729688Z [ RUN      ] StaticRuntime.autogen_diag
2023-01-11T22:24:21.9803164Z [       OK ] StaticRuntime.autogen_diag (7 ms)
2023-01-11T22:24:21.9803911Z [ RUN      ] StaticRuntime.autogen_cross
2023-01-11T22:24:22.0042889Z [       OK ] StaticRuntime.autogen_cross (23 ms)
2023-01-11T22:24:22.0043598Z [ RUN      ] StaticRuntime.autogen_ne_Scalar
2023-01-11T22:24:22.0856603Z [       OK ] StaticRuntime.autogen_ne_Scalar (81 ms)
2023-01-11T22:24:22.0857128Z [ RUN      ] StaticRuntime.autogen_ne_Tensor
2023-01-11T22:24:22.1962289Z [       OK ] StaticRuntime.autogen_ne_Tensor (110 ms)
2023-01-11T22:24:22.1962787Z [ RUN      ] StaticRuntime.autogen_ge_Scalar
2023-01-11T22:24:22.2775176Z [       OK ] StaticRuntime.autogen_ge_Scalar (81 ms)
2023-01-11T22:24:22.2775708Z [ RUN      ] StaticRuntime.autogen_ge_Tensor
2023-01-11T22:24:22.3885515Z [       OK ] StaticRuntime.autogen_ge_Tensor (110 ms)
2023-01-11T22:24:22.3886033Z [ RUN      ] StaticRuntime.autogen_le_Scalar
2023-01-11T22:24:22.4700484Z [       OK ] StaticRuntime.autogen_le_Scalar (81 ms)
2023-01-11T22:24:22.4701029Z [ RUN      ] StaticRuntime.autogen_le_Tensor
2023-01-11T22:24:22.5811175Z [       OK ] StaticRuntime.autogen_le_Tensor (111 ms)
2023-01-11T22:24:22.5811736Z [ RUN      ] StaticRuntime.autogen_gt_Scalar
2023-01-11T22:24:22.6622163Z [       OK ] StaticRuntime.autogen_gt_Scalar (81 ms)
2023-01-11T22:24:22.6622680Z [ RUN      ] StaticRuntime.autogen_gt_Tensor
2023-01-11T22:24:22.7730713Z [       OK ] StaticRuntime.autogen_gt_Tensor (110 ms)
2023-01-11T22:24:22.7731263Z [ RUN      ] StaticRuntime.autogen_lt_Scalar
2023-01-11T22:24:22.8543200Z [       OK ] StaticRuntime.autogen_lt_Scalar (81 ms)
2023-01-11T22:24:22.8543724Z [ RUN      ] StaticRuntime.autogen_lt_Tensor
2023-01-11T22:24:22.9656452Z [       OK ] StaticRuntime.autogen_lt_Tensor (111 ms)
2023-01-11T22:24:22.9656793Z [ RUN      ] StaticRuntime.autogen_take
2023-01-11T22:24:23.0006044Z [       OK ] StaticRuntime.autogen_take (34 ms)
2023-01-11T22:24:23.0006362Z [ RUN      ] StaticRuntime.autogen_take_along_dim
2023-01-11T22:24:23.1237168Z [       OK ] StaticRuntime.autogen_take_along_dim (122 ms)
2023-01-11T22:24:23.1237502Z [ RUN      ] StaticRuntime.autogen_masked_select
2023-01-11T22:24:23.2005194Z [       OK ] StaticRuntime.autogen_masked_select (76 ms)
2023-01-11T22:24:23.2005512Z [ RUN      ] StaticRuntime.autogen_gather
2023-01-11T22:24:23.2084944Z [       OK ] StaticRuntime.autogen_gather (8 ms)
2023-01-11T22:24:23.2085284Z [ RUN      ] StaticRuntime.autogen_addcmul
2023-01-11T22:24:23.3633206Z [       OK ] StaticRuntime.autogen_addcmul (154 ms)
2023-01-11T22:24:23.3633555Z [ RUN      ] StaticRuntime.autogen_addcdiv
2023-01-11T22:24:23.5253854Z [       OK ] StaticRuntime.autogen_addcdiv (162 ms)
2023-01-11T22:24:23.5254271Z [ RUN      ] StaticRuntime.autogen_linalg_solve_triangular
2023-01-11T22:24:23.6805868Z [       OK ] StaticRuntime.autogen_linalg_solve_triangular (155 ms)
2023-01-11T22:24:23.6806253Z [ RUN      ] StaticRuntime.autogen_cholesky_solve
2023-01-11T22:24:23.8497256Z [       OK ] StaticRuntime.autogen_cholesky_solve (169 ms)
2023-01-11T22:24:23.8497705Z [ RUN      ] StaticRuntime.autogen_cholesky_inverse
2023-01-11T22:24:23.9847021Z [       OK ] StaticRuntime.autogen_cholesky_inverse (134 ms)
2023-01-11T22:24:23.9847514Z [ RUN      ] StaticRuntime.autogen_orgqr
2023-01-11T22:24:24.0928783Z [       OK ] StaticRuntime.autogen_orgqr (108 ms)
2023-01-11T22:24:24.0929509Z [ RUN      ] StaticRuntime.autogen_ormqr
2023-01-11T22:24:24.2325434Z [       OK ] StaticRuntime.autogen_ormqr (139 ms)
2023-01-11T22:24:24.2325928Z [ RUN      ] StaticRuntime.autogen_lgamma
2023-01-11T22:24:24.3320625Z [       OK ] StaticRuntime.autogen_lgamma (99 ms)
2023-01-11T22:24:24.3321128Z [ RUN      ] StaticRuntime.autogen_polygamma
2023-01-11T22:24:24.4440270Z [       OK ] StaticRuntime.autogen_polygamma (111 ms)
2023-01-11T22:24:24.4440954Z [ RUN      ] StaticRuntime.autogen_erfinv
2023-01-11T22:24:24.5414121Z [       OK ] StaticRuntime.autogen_erfinv (97 ms)
2023-01-11T22:24:24.5414628Z [ RUN      ] StaticRuntime.autogen_i0
2023-01-11T22:24:24.6358390Z [       OK ] StaticRuntime.autogen_i0 (94 ms)
2023-01-11T22:24:24.6358925Z [ RUN      ] StaticRuntime.autogen_signbit
2023-01-11T22:24:24.7165558Z [       OK ] StaticRuntime.autogen_signbit (80 ms)
2023-01-11T22:24:24.7165888Z [ RUN      ] StaticRuntime.autogen_atan2
2023-01-11T22:24:24.8441580Z [       OK ] StaticRuntime.autogen_atan2 (127 ms)
2023-01-11T22:24:24.8442124Z [ RUN      ] StaticRuntime.autogen_arctan2
2023-01-11T22:24:24.9710667Z [       OK ] StaticRuntime.autogen_arctan2 (126 ms)
2023-01-11T22:24:24.9711192Z [ RUN      ] StaticRuntime.autogen_histc
2023-01-11T22:24:25.0097635Z [       OK ] StaticRuntime.autogen_histc (38 ms)
2023-01-11T22:24:25.0098160Z [ RUN      ] StaticRuntime.autogen_hypot
2023-01-11T22:24:25.1365584Z [       OK ] StaticRuntime.autogen_hypot (126 ms)
2023-01-11T22:24:25.1366117Z [ RUN      ] StaticRuntime.autogen_igamma
2023-01-11T22:24:25.2683211Z [       OK ] StaticRuntime.autogen_igamma (131 ms)
2023-01-11T22:24:25.2683930Z [ RUN      ] StaticRuntime.autogen_igammac
2023-01-11T22:24:25.4045082Z [       OK ] StaticRuntime.autogen_igammac (136 ms)
2023-01-11T22:24:25.4045441Z [ RUN      ] StaticRuntime.autogen_nextafter
2023-01-11T22:24:25.5318021Z [       OK ] StaticRuntime.autogen_nextafter (127 ms)
2023-01-11T22:24:25.5318354Z [ RUN      ] StaticRuntime.autogen_fmin
2023-01-11T22:24:25.6570767Z [       OK ] StaticRuntime.autogen_fmin (125 ms)
2023-01-11T22:24:25.6571330Z [ RUN      ] StaticRuntime.autogen_fmax
2023-01-11T22:24:25.7811794Z [       OK ] StaticRuntime.autogen_fmax (124 ms)
2023-01-11T22:24:25.7812322Z [ RUN      ] StaticRuntime.autogen_maximum
2023-01-11T22:24:25.9072341Z [       OK ] StaticRuntime.autogen_maximum (126 ms)
2023-01-11T22:24:25.9072856Z [ RUN      ] StaticRuntime.autogen_minimum
2023-01-11T22:24:26.0344169Z [       OK ] StaticRuntime.autogen_minimum (127 ms)
2023-01-11T22:24:26.0344517Z [ RUN      ] StaticRuntime.autogen_min_other
2023-01-11T22:24:26.1620224Z [       OK ] StaticRuntime.autogen_min_other (127 ms)
2023-01-11T22:24:26.1620591Z [ RUN      ] StaticRuntime.autogen_quantile
2023-01-11T22:24:26.2716322Z [       OK ] StaticRuntime.autogen_quantile (109 ms)
2023-01-11T22:24:26.2716648Z [ RUN      ] StaticRuntime.autogen_nanquantile
2023-01-11T22:24:26.3817767Z [       OK ] StaticRuntime.autogen_nanquantile (110 ms)
2023-01-11T22:24:26.3818355Z [ RUN      ] StaticRuntime.autogen_msort
2023-01-11T22:24:26.4799029Z [       OK ] StaticRuntime.autogen_msort (98 ms)
2023-01-11T22:24:26.4799346Z [ RUN      ] StaticRuntime.autogen_renorm
2023-01-11T22:24:26.5774615Z [       OK ] StaticRuntime.autogen_renorm (97 ms)
2023-01-11T22:24:26.5775063Z [ RUN      ] StaticRuntime.autogen__convert_indices_from_coo_to_csr
2023-01-11T22:24:26.5838563Z [       OK ] StaticRuntime.autogen__convert_indices_from_coo_to_csr (6 ms)
2023-01-11T22:24:26.5838957Z [ RUN      ] StaticRuntime.autogen__convert_indices_from_csr_to_coo
2023-01-11T22:24:26.5888474Z [       OK ] StaticRuntime.autogen__convert_indices_from_csr_to_coo (4 ms)
2023-01-11T22:24:26.5888819Z [ RUN      ] StaticRuntime.autogen_mse_loss
2023-01-11T22:24:26.6540943Z [       OK ] StaticRuntime.autogen_mse_loss (65 ms)
2023-01-11T22:24:26.6541549Z [ RUN      ] StaticRuntime.autogen_multi_margin_loss
2023-01-11T22:24:26.6616270Z [       OK ] StaticRuntime.autogen_multi_margin_loss (7 ms)
2023-01-11T22:24:26.6617101Z [ RUN      ] StaticRuntime.autogen_multilabel_margin_loss
2023-01-11T22:24:26.6695486Z [       OK ] StaticRuntime.autogen_multilabel_margin_loss (7 ms)
2023-01-11T22:24:26.6696127Z [ RUN      ] StaticRuntime.autogen_soft_margin_loss
2023-01-11T22:24:26.7370682Z [       OK ] StaticRuntime.autogen_soft_margin_loss (67 ms)
2023-01-11T22:24:26.7371198Z [ RUN      ] StaticRuntime.autogen_elu
2023-01-11T22:24:26.8337607Z [       OK ] StaticRuntime.autogen_elu (96 ms)
2023-01-11T22:24:26.8338197Z [ RUN      ] StaticRuntime.autogen_elu_backward
2023-01-11T22:24:26.9605208Z [       OK ] StaticRuntime.autogen_elu_backward (126 ms)
2023-01-11T22:24:26.9605696Z [ RUN      ] StaticRuntime.autogen_glu
2023-01-11T22:24:27.0285600Z [       OK ] StaticRuntime.autogen_glu (68 ms)
2023-01-11T22:24:27.0286202Z [ RUN      ] StaticRuntime.autogen_hardsigmoid
2023-01-11T22:24:27.1255393Z [       OK ] StaticRuntime.autogen_hardsigmoid (96 ms)
2023-01-11T22:24:27.1255949Z [ RUN      ] StaticRuntime.autogen_hardsigmoid_backward
2023-01-11T22:24:27.2552153Z [       OK ] StaticRuntime.autogen_hardsigmoid_backward (129 ms)
2023-01-11T22:24:27.2552832Z [ RUN      ] StaticRuntime.autogen_hardtanh
2023-01-11T22:24:27.3397570Z [       OK ] StaticRuntime.autogen_hardtanh (84 ms)
2023-01-11T22:24:27.3398084Z [ RUN      ] StaticRuntime.autogen_hardswish
2023-01-11T22:24:27.4373821Z [       OK ] StaticRuntime.autogen_hardswish (97 ms)
2023-01-11T22:24:27.4374373Z [ RUN      ] StaticRuntime.autogen_leaky_relu_backward
2023-01-11T22:24:27.5647019Z [       OK ] StaticRuntime.autogen_leaky_relu_backward (127 ms)
2023-01-11T22:24:27.5647548Z [ RUN      ] StaticRuntime.autogen_log_sigmoid
2023-01-11T22:24:27.6625994Z [       OK ] StaticRuntime.autogen_log_sigmoid (97 ms)
2023-01-11T22:24:27.6626566Z [ RUN      ] StaticRuntime.autogen_softplus
2023-01-11T22:24:27.7610801Z [       OK ] StaticRuntime.autogen_softplus (98 ms)
2023-01-11T22:24:27.7611338Z [ RUN      ] StaticRuntime.autogen_softplus_backward
2023-01-11T22:24:27.8889362Z [       OK ] StaticRuntime.autogen_softplus_backward (127 ms)
2023-01-11T22:24:27.8889932Z [ RUN      ] StaticRuntime.autogen_softshrink
2023-01-11T22:24:27.9728023Z [       OK ] StaticRuntime.autogen_softshrink (83 ms)
2023-01-11T22:24:27.9728543Z [ RUN      ] StaticRuntime.autogen_softshrink_backward
2023-01-11T22:24:28.0856286Z [       OK ] StaticRuntime.autogen_softshrink_backward (112 ms)
2023-01-11T22:24:28.0856891Z [ RUN      ] StaticRuntime.autogen_adaptive_max_pool2d_backward
2023-01-11T22:24:28.0945028Z [       OK ] StaticRuntime.autogen_adaptive_max_pool2d_backward (8 ms)
2023-01-11T22:24:28.0945386Z [ RUN      ] StaticRuntime.autogen_adaptive_max_pool3d_backward
2023-01-11T22:24:28.1051056Z [       OK ] StaticRuntime.autogen_adaptive_max_pool3d_backward (10 ms)
2023-01-11T22:24:28.1051410Z [ RUN      ] StaticRuntime.autogen_sigmoid_backward
2023-01-11T22:24:28.2342822Z [       OK ] StaticRuntime.autogen_sigmoid_backward (129 ms)
2023-01-11T22:24:28.2343150Z [ RUN      ] StaticRuntime.autogen_tanh_backward
2023-01-11T22:24:28.3617292Z [       OK ] StaticRuntime.autogen_tanh_backward (127 ms)
2023-01-11T22:24:28.3617659Z [ RUN      ] StaticRuntime.autogen_isposinf
2023-01-11T22:24:28.4428608Z [       OK ] StaticRuntime.autogen_isposinf (81 ms)
2023-01-11T22:24:28.4428982Z [ RUN      ] StaticRuntime.autogen_isneginf
2023-01-11T22:24:28.5236251Z [       OK ] StaticRuntime.autogen_isneginf (80 ms)
2023-01-11T22:24:28.5236625Z [ RUN      ] StaticRuntime.autogen_special_entr
2023-01-11T22:24:28.6189211Z [       OK ] StaticRuntime.autogen_special_entr (95 ms)
2023-01-11T22:24:28.6189738Z [ RUN      ] StaticRuntime.autogen_special_ndtri
2023-01-11T22:24:28.7149293Z [       OK ] StaticRuntime.autogen_special_ndtri (95 ms)
2023-01-11T22:24:28.7149648Z [ RUN      ] StaticRuntime.autogen_special_log_ndtr
2023-01-11T22:24:28.8109528Z [       OK ] StaticRuntime.autogen_special_log_ndtr (95 ms)
2023-01-11T22:24:28.8109997Z [ RUN      ] StaticRuntime.autogen_special_expm1
2023-01-11T22:24:28.9095429Z [       OK ] StaticRuntime.autogen_special_expm1 (98 ms)
2023-01-11T22:24:28.9095871Z [ RUN      ] StaticRuntime.autogen_special_exp2
2023-01-11T22:24:29.0014110Z [       OK ] StaticRuntime.autogen_special_exp2 (91 ms)
2023-01-11T22:24:29.0014474Z [ RUN      ] StaticRuntime.autogen_special_psi
2023-01-11T22:24:29.0986046Z [       OK ] StaticRuntime.autogen_special_psi (97 ms)
2023-01-11T22:24:29.0986407Z [ RUN      ] StaticRuntime.autogen_special_digamma
2023-01-11T22:24:29.1957727Z [       OK ] StaticRuntime.autogen_special_digamma (97 ms)
2023-01-11T22:24:29.1958083Z [ RUN      ] StaticRuntime.autogen_special_gammaln
2023-01-11T22:24:29.2945141Z [       OK ] StaticRuntime.autogen_special_gammaln (98 ms)
2023-01-11T22:24:29.2945474Z [ RUN      ] StaticRuntime.autogen_special_erf
2023-01-11T22:24:29.3936957Z [       OK ] StaticRuntime.autogen_special_erf (99 ms)
2023-01-11T22:24:29.3937297Z [ RUN      ] StaticRuntime.autogen_special_erfc
2023-01-11T22:24:29.4928460Z [       OK ] StaticRuntime.autogen_special_erfc (99 ms)
2023-01-11T22:24:29.4928794Z [ RUN      ] StaticRuntime.autogen_special_erfcx
2023-01-11T22:24:29.5889304Z [       OK ] StaticRuntime.autogen_special_erfcx (96 ms)
2023-01-11T22:24:29.5889645Z [ RUN      ] StaticRuntime.autogen_special_erfinv
2023-01-11T22:24:29.6869720Z [       OK ] StaticRuntime.autogen_special_erfinv (98 ms)
2023-01-11T22:24:29.6870060Z [ RUN      ] StaticRuntime.autogen_special_ndtr
2023-01-11T22:24:29.7870726Z [       OK ] StaticRuntime.autogen_special_ndtr (100 ms)
2023-01-11T22:24:29.7871095Z [ RUN      ] StaticRuntime.autogen_special_xlog1py
2023-01-11T22:24:29.9138795Z [       OK ] StaticRuntime.autogen_special_xlog1py (126 ms)
2023-01-11T22:24:29.9139171Z [ RUN      ] StaticRuntime.autogen_special_xlogy
2023-01-11T22:24:30.0466643Z [       OK ] StaticRuntime.autogen_special_xlogy (132 ms)
2023-01-11T22:24:30.0466996Z [ RUN      ] StaticRuntime.autogen_special_zeta
2023-01-11T22:24:30.0538264Z [       OK ] StaticRuntime.autogen_special_zeta (7 ms)
2023-01-11T22:24:30.0538824Z [ RUN      ] StaticRuntime.autogen_special_i0
2023-01-11T22:24:30.1482135Z [       OK ] StaticRuntime.autogen_special_i0 (94 ms)
2023-01-11T22:24:30.1482617Z [ RUN      ] StaticRuntime.autogen_special_i0e
2023-01-11T22:24:30.2484613Z [       OK ] StaticRuntime.autogen_special_i0e (100 ms)
2023-01-11T22:24:30.2485128Z [ RUN      ] StaticRuntime.autogen_special_i1
2023-01-11T22:24:30.3457995Z [       OK ] StaticRuntime.autogen_special_i1 (97 ms)
2023-01-11T22:24:30.3458554Z [ RUN      ] StaticRuntime.autogen_special_i1e
2023-01-11T22:24:30.4428684Z [       OK ] StaticRuntime.autogen_special_i1e (97 ms)
2023-01-11T22:24:30.4429270Z [ RUN      ] StaticRuntime.autogen_special_polygamma
2023-01-11T22:24:30.5548078Z [       OK ] StaticRuntime.autogen_special_polygamma (111 ms)
2023-01-11T22:24:30.5548712Z [ RUN      ] StaticRuntime.autogen_special_expit
2023-01-11T22:24:30.6518005Z [       OK ] StaticRuntime.autogen_special_expit (97 ms)
2023-01-11T22:24:30.6518537Z [ RUN      ] StaticRuntime.autogen_special_sinc
2023-01-11T22:24:30.7488929Z [       OK ] StaticRuntime.autogen_special_sinc (97 ms)
2023-01-11T22:24:30.8432996Z [ RUN      ] StaticRuntime.autogen_special_round
2023-01-11T22:24:30.8433729Z [       OK ] StaticRuntime.autogen_special_round (94 ms)
2023-01-11T22:24:30.8434040Z [ RUN      ] StaticRuntime.autogen_special_log1p
2023-01-11T22:24:30.9426955Z [       OK ] StaticRuntime.autogen_special_log1p (99 ms)
2023-01-11T22:24:30.9427516Z [ RUN      ] StaticRuntime.autogen_special_gammainc
2023-01-11T22:24:31.0744590Z [       OK ] StaticRuntime.autogen_special_gammainc (131 ms)
2023-01-11T22:24:31.0745099Z [ RUN      ] StaticRuntime.autogen_special_gammaincc
2023-01-11T22:24:31.2101689Z [       OK ] StaticRuntime.autogen_special_gammaincc (135 ms)
2023-01-11T22:24:31.2102224Z [ RUN      ] StaticRuntime.autogen_special_multigammaln
2023-01-11T22:24:31.3109391Z [       OK ] StaticRuntime.autogen_special_multigammaln (100 ms)
2023-01-11T22:24:31.3109899Z [ RUN      ] StaticRuntime.autogen_fft_fft
2023-01-11T22:24:31.3525071Z [       OK ] StaticRuntime.autogen_fft_fft (41 ms)
2023-01-11T22:24:31.3525806Z [ RUN      ] StaticRuntime.autogen_fft_ifft
2023-01-11T22:24:31.3940803Z [       OK ] StaticRuntime.autogen_fft_ifft (41 ms)
2023-01-11T22:24:31.3941433Z [ RUN      ] StaticRuntime.autogen_fft_rfft
2023-01-11T22:24:31.4354820Z [       OK ] StaticRuntime.autogen_fft_rfft (41 ms)
2023-01-11T22:24:31.4774388Z [ RUN      ] StaticRuntime.autogen_fft_irfft
2023-01-11T22:24:31.4775143Z [       OK ] StaticRuntime.autogen_fft_irfft (41 ms)
2023-01-11T22:24:31.4775676Z [ RUN      ] StaticRuntime.autogen_fft_hfft
2023-01-11T22:24:31.5212470Z [       OK ] StaticRuntime.autogen_fft_hfft (43 ms)
2023-01-11T22:24:31.5213212Z [ RUN      ] StaticRuntime.autogen_fft_ihfft
2023-01-11T22:24:31.5627446Z [       OK ] StaticRuntime.autogen_fft_ihfft (41 ms)
2023-01-11T22:24:31.5628115Z [ RUN      ] StaticRuntime.autogen_linalg_cross
2023-01-11T22:24:31.5891840Z [       OK ] StaticRuntime.autogen_linalg_cross (26 ms)
2023-01-11T22:24:31.5892366Z [ RUN      ] StaticRuntime.autogen_linalg_det
2023-01-11T22:24:31.6295135Z [       OK ] StaticRuntime.autogen_linalg_det (40 ms)
2023-01-11T22:24:31.6295476Z [ RUN      ] StaticRuntime.autogen_linalg_matmul
2023-01-11T22:24:31.7546506Z [       OK ] StaticRuntime.autogen_linalg_matmul (125 ms)
2023-01-11T22:24:31.7547056Z [ RUN      ] StaticRuntime.autogen_linalg_eigvals
2023-01-11T22:24:31.8221044Z [       OK ] StaticRuntime.autogen_linalg_eigvals (67 ms)
2023-01-11T22:24:31.8221415Z [ RUN      ] StaticRuntime.autogen_linalg_inv
2023-01-11T22:24:31.9248462Z [       OK ] StaticRuntime.autogen_linalg_inv (102 ms)
2023-01-11T22:24:31.9248863Z [ RUN      ] StaticRuntime.autogen_inverse
2023-01-11T22:24:32.0270419Z [       OK ] StaticRuntime.autogen_inverse (102 ms)
2023-01-11T22:24:32.0270750Z [ RUN      ] StaticRuntime.autogen_inner
2023-01-11T22:24:33.2675650Z [       OK ] StaticRuntime.autogen_inner (1240 ms)
2023-01-11T22:24:33.2675980Z [ RUN      ] StaticRuntime.autogen_outer
2023-01-11T22:24:33.2997243Z [       OK ] StaticRuntime.autogen_outer (32 ms)
2023-01-11T22:24:33.2997576Z [ RUN      ] StaticRuntime.autogen_linalg_cond
2023-01-11T22:24:33.3471167Z [       OK ] StaticRuntime.autogen_linalg_cond (47 ms)
2023-01-11T22:24:33.3471539Z [ RUN      ] StaticRuntime.autogen_linalg_solve
2023-01-11T22:24:33.4789608Z [       OK ] StaticRuntime.autogen_linalg_solve (131 ms)
2023-01-11T22:24:33.4790020Z [ RUN      ] StaticRuntime.autogen_linalg_tensorinv
2023-01-11T22:24:35.4104753Z [       OK ] StaticRuntime.autogen_linalg_tensorinv (1931 ms)
2023-01-11T22:24:35.4105209Z [ RUN      ] StaticRuntime.autogen_linalg_matrix_power
2023-01-11T22:24:35.5054482Z [       OK ] StaticRuntime.autogen_linalg_matrix_power (95 ms)
2023-01-11T22:24:35.5055029Z [ RUN      ] StaticRuntime.autogen_view_as_real
2023-01-11T22:24:35.5223248Z [       OK ] StaticRuntime.autogen_view_as_real (16 ms)
2023-01-11T22:24:35.5223734Z [ RUN      ] StaticRuntime.autogen_view_as_complex
2023-01-11T22:24:35.5242559Z [       OK ] StaticRuntime.autogen_view_as_complex (1 ms)
2023-01-11T22:24:35.5243108Z [ RUN      ] StaticRuntime.autogen_real
2023-01-11T22:24:35.5307357Z [       OK ] StaticRuntime.autogen_real (6 ms)
2023-01-11T22:24:35.5307902Z [ RUN      ] StaticRuntime.autogen_imag
2023-01-11T22:24:35.5374881Z [       OK ] StaticRuntime.autogen_imag (6 ms)
2023-01-11T22:24:35.5375439Z [ RUN      ] StaticRuntime.autogen__conj
2023-01-11T22:24:35.5441081Z [       OK ] StaticRuntime.autogen__conj (6 ms)
2023-01-11T22:24:35.5441625Z [ RUN      ] StaticRuntime.autogen_conj
2023-01-11T22:24:35.5505954Z [       OK ] StaticRuntime.autogen_conj (6 ms)
2023-01-11T22:24:35.5506532Z [ RUN      ] StaticRuntime.autogen_resolve_conj
2023-01-11T22:24:35.5571330Z [       OK ] StaticRuntime.autogen_resolve_conj (6 ms)
2023-01-11T22:24:35.5571884Z [ RUN      ] StaticRuntime.autogen_resolve_neg
2023-01-11T22:24:35.5636576Z [       OK ] StaticRuntime.autogen_resolve_neg (6 ms)
2023-01-11T22:24:35.5636918Z [ RUN      ] StaticRuntime.autogen__neg_view
2023-01-11T22:24:35.5700617Z [       OK ] StaticRuntime.autogen__neg_view (6 ms)
2023-01-11T22:24:35.5700934Z [ RUN      ] StaticRuntime.autogen_diagonal
2023-01-11T22:24:35.5736135Z [       OK ] StaticRuntime.autogen_diagonal (3 ms)
2023-01-11T22:24:35.5736509Z [ RUN      ] StaticRuntime.autogen_linalg_diagonal
2023-01-11T22:24:35.5772163Z [       OK ] StaticRuntime.autogen_linalg_diagonal (3 ms)
2023-01-11T22:24:35.5772516Z [ RUN      ] StaticRuntime.autogen_movedim_int
2023-01-11T22:24:35.5838380Z [       OK ] StaticRuntime.autogen_movedim_int (6 ms)
2023-01-11T22:24:35.5838704Z [ RUN      ] StaticRuntime.autogen_moveaxis_int
2023-01-11T22:24:35.5905015Z [       OK ] StaticRuntime.autogen_moveaxis_int (6 ms)
2023-01-11T22:24:35.5905335Z [ RUN      ] StaticRuntime.autogen_numpy_T
2023-01-11T22:24:35.5907343Z [W TensorShape.cpp:3542] Warning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (function operator())
2023-01-11T22:24:35.5972646Z [       OK ] StaticRuntime.autogen_numpy_T (6 ms)
2023-01-11T22:24:35.5972966Z [ RUN      ] StaticRuntime.autogen_matrix_H
2023-01-11T22:24:35.6004687Z [       OK ] StaticRuntime.autogen_matrix_H (3 ms)
2023-01-11T22:24:35.6004987Z [ RUN      ] StaticRuntime.autogen_mT
2023-01-11T22:24:35.6072507Z [       OK ] StaticRuntime.autogen_mT (6 ms)
2023-01-11T22:24:35.6072845Z [ RUN      ] StaticRuntime.autogen_mH
2023-01-11T22:24:35.6139619Z [       OK ] StaticRuntime.autogen_mH (6 ms)
2023-01-11T22:24:35.6139930Z [ RUN      ] StaticRuntime.autogen_adjoint
2023-01-11T22:24:35.6206979Z [       OK ] StaticRuntime.autogen_adjoint (6 ms)
2023-01-11T22:24:35.6207294Z [ RUN      ] StaticRuntime.autogen_ravel
2023-01-11T22:24:35.6256020Z [       OK ] StaticRuntime.autogen_ravel (4 ms)
2023-01-11T22:24:35.6256534Z [ RUN      ] StaticRuntime.autogen_t
2023-01-11T22:24:35.6288460Z [       OK ] StaticRuntime.autogen_t (3 ms)
2023-01-11T22:24:35.6288764Z [ RUN      ] StaticRuntime.autogen_unsqueeze
2023-01-11T22:24:35.6356661Z [       OK ] StaticRuntime.autogen_unsqueeze (6 ms)
2023-01-11T22:24:35.6356963Z [ RUN      ] StaticRuntime.autogen_view_as
2023-01-11T22:24:35.6431199Z [       OK ] StaticRuntime.autogen_view_as (7 ms)
2023-01-11T22:24:35.6431510Z [ RUN      ] StaticRuntime.autogen_positive
2023-01-11T22:24:35.6496750Z [       OK ] StaticRuntime.autogen_positive (6 ms)
2023-01-11T22:24:35.6497129Z [ RUN      ] StaticRuntime.autogen__autocast_to_reduced_precision
2023-01-11T22:24:35.6563848Z [       OK ] StaticRuntime.autogen__autocast_to_reduced_precision (6 ms)
2023-01-11T22:24:35.6564221Z [ RUN      ] StaticRuntime.autogen__autocast_to_full_precision
2023-01-11T22:24:35.6629631Z [       OK ] StaticRuntime.autogen__autocast_to_full_precision (6 ms)
2023-01-11T22:24:35.6629956Z [ RUN      ] StaticRuntime.autogen_swapaxes
2023-01-11T22:24:35.6695856Z [       OK ] StaticRuntime.autogen_swapaxes (6 ms)
2023-01-11T22:24:35.6696212Z [ RUN      ] StaticRuntime.autogen_swapdims
2023-01-11T22:24:35.6761467Z [       OK ] StaticRuntime.autogen_swapdims (6 ms)
2023-01-11T22:24:35.6761790Z [ RUN      ] StaticRuntime.autogen_unfold
2023-01-11T22:24:35.6909872Z [       OK ] StaticRuntime.autogen_unfold (14 ms)
2023-01-11T22:24:35.6910174Z [ RUN      ] StaticRuntime.autogen_alias
2023-01-11T22:24:35.6975597Z [       OK ] StaticRuntime.autogen_alias (6 ms)
2023-01-11T22:24:35.6976020Z [----------] 430 tests from StaticRuntime (689075 ms total)
2023-01-11T22:24:35.6976193Z 
2023-01-11T22:24:35.6976377Z [----------] 1 test from ProcessedNodeInputs
2023-01-11T22:24:35.6976709Z [ RUN      ] ProcessedNodeInputs.Basic
2023-01-11T22:24:35.6977050Z [       OK ] ProcessedNodeInputs.Basic (0 ms)
2023-01-11T22:24:35.6977438Z [----------] 1 test from ProcessedNodeInputs (0 ms total)
2023-01-11T22:24:35.6977604Z 
2023-01-11T22:24:35.6977751Z [----------] 8 tests from StaticModule
2023-01-11T22:24:35.6978070Z [ RUN      ] StaticModule.ValueGroup
2023-01-11T22:24:35.6980081Z [       OK ] StaticModule.ValueGroup (0 ms)
2023-01-11T22:24:35.6980531Z [ RUN      ] StaticModule.IsOptimizableContainerType_NonOptimizableInputs
2023-01-11T22:24:35.6987948Z [       OK ] StaticModule.IsOptimizableContainerType_NonOptimizableInputs (0 ms)
2023-01-11T22:24:35.6988408Z [ RUN      ] StaticModule.IsOptimizableContainerType_WrongType
2023-01-11T22:24:35.6994828Z [       OK ] StaticModule.IsOptimizableContainerType_WrongType (0 ms)
2023-01-11T22:24:35.6995321Z [ RUN      ] StaticModule.IsOptimizableContainerType_CanUseOutVariant
2023-01-11T22:24:35.6999804Z [       OK ] StaticModule.IsOptimizableContainerType_CanUseOutVariant (0 ms)
2023-01-11T22:24:35.7000168Z [ RUN      ] StaticModule.RValueInputs
2023-01-11T22:24:35.7005413Z [       OK ] StaticModule.RValueInputs (0 ms)
2023-01-11T22:24:35.7005742Z [ RUN      ] StaticModule.IncorrectTypesPassed
2023-01-11T22:24:35.7203041Z [       OK ] StaticModule.IncorrectTypesPassed (19 ms)
2023-01-11T22:24:35.7203835Z [ RUN      ] StaticModule.TooManyArgs
2023-01-11T22:24:35.7289269Z [       OK ] StaticModule.TooManyArgs (8 ms)
2023-01-11T22:24:35.7289840Z [ RUN      ] StaticModule.NotEnoughArgs
2023-01-11T22:24:35.7375143Z [       OK ] StaticModule.NotEnoughArgs (8 ms)
2023-01-11T22:24:35.7375729Z [----------] 8 tests from StaticModule (39 ms total)
2023-01-11T22:24:35.7375992Z 
2023-01-11T22:24:35.7376247Z [----------] 3 tests from ProcessedNode
2023-01-11T22:24:35.7377336Z [ RUN      ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithImmutableArguments
2023-01-11T22:24:35.7382492Z [       OK ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithImmutableArguments (0 ms)
2023-01-11T22:24:35.7383632Z [ RUN      ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithInplaceOps
2023-01-11T22:24:35.7389218Z [       OK ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithInplaceOps (0 ms)
2023-01-11T22:24:35.7390378Z [ RUN      ] ProcessedNode.VerifyNoMemoryOverlapWithOverlappingOutputs
2023-01-11T22:24:35.7392613Z [       OK ] ProcessedNode.VerifyNoMemoryOverlapWithOverlappingOutputs (0 ms)
2023-01-11T22:24:35.7393323Z [----------] 3 tests from ProcessedNode (1 ms total)
2023-01-11T22:24:35.7393585Z 
2023-01-11T22:24:35.7393846Z [----------] 1 test from ProcessedFunction
2023-01-11T22:24:35.7394473Z [ RUN      ] ProcessedFunction.ProcessedFunction
2023-01-11T22:24:35.7400456Z [       OK ] ProcessedFunction.ProcessedFunction (0 ms)
2023-01-11T22:24:35.7401108Z [----------] 1 test from ProcessedFunction (0 ms total)
2023-01-11T22:24:35.7401391Z 
2023-01-11T22:24:35.7401678Z [----------] 5 tests from ManagedTensorRanges
2023-01-11T22:24:35.7402220Z [ RUN      ] ManagedTensorRanges.NoAliases
2023-01-11T22:24:35.7402731Z [       OK ] ManagedTensorRanges.NoAliases (0 ms)
2023-01-11T22:24:35.7403530Z [ RUN      ] ManagedTensorRanges.AliasExtendingLifetimes
2023-01-11T22:24:35.7404241Z [       OK ] ManagedTensorRanges.AliasExtendingLifetimes (0 ms)
2023-01-11T22:24:35.7404907Z [ RUN      ] ManagedTensorRanges.LifetimeOverlap
2023-01-11T22:24:35.7405541Z [       OK ] ManagedTensorRanges.LifetimeOverlap (0 ms)
2023-01-11T22:24:35.7406200Z [ RUN      ] ManagedTensorRanges.OverlappingLifetimesContainers
2023-01-11T22:24:35.7406977Z [       OK ] ManagedTensorRanges.OverlappingLifetimesContainers (0 ms)
2023-01-11T22:24:35.7407740Z [ RUN      ] ManagedTensorRanges.OverlappingLifetimesOutputs
2023-01-11T22:24:35.7408453Z [       OK ] ManagedTensorRanges.OverlappingLifetimesOutputs (0 ms)
2023-01-11T22:24:35.7409098Z [----------] 5 tests from ManagedTensorRanges (0 ms total)
2023-01-11T22:24:35.7409376Z 
2023-01-11T22:24:35.7409700Z [----------] 3 tests from AssignStorageToManagedTensors
2023-01-11T22:24:35.7410321Z [ RUN      ] AssignStorageToManagedTensors.NoAliases
2023-01-11T22:24:35.7410956Z [       OK ] AssignStorageToManagedTensors.NoAliases (0 ms)
2023-01-11T22:24:35.7411613Z [ RUN      ] AssignStorageToManagedTensors.Aliases
2023-01-11T22:24:35.7412268Z [       OK ] AssignStorageToManagedTensors.Aliases (0 ms)
2023-01-11T22:24:35.7412907Z [ RUN      ] AssignStorageToManagedTensors.MultipleUnused
2023-01-11T22:24:35.7413599Z [       OK ] AssignStorageToManagedTensors.MultipleUnused (0 ms)
2023-01-11T22:24:35.7414311Z [----------] 3 tests from AssignStorageToManagedTensors (0 ms total)
2023-01-11T22:24:35.7414619Z 
2023-01-11T22:24:35.7414975Z [----------] 2 tests from CreateOwnedRefsForSpecialValues
2023-01-11T22:24:35.7415607Z [ RUN      ] CreateOwnedRefsForSpecialValues.TopLevel
2023-01-11T22:24:35.7416304Z [       OK ] CreateOwnedRefsForSpecialValues.TopLevel (0 ms)
2023-01-11T22:24:35.7417074Z [ RUN      ] CreateOwnedRefsForSpecialValues.ValueFromOuterScope
2023-01-11T22:24:35.7417845Z [       OK ] CreateOwnedRefsForSpecialValues.ValueFromOuterScope (0 ms)
2023-01-11T22:24:35.7418579Z [----------] 2 tests from CreateOwnedRefsForSpecialValues (0 ms total)
2023-01-11T22:24:35.7418904Z 
2023-01-11T22:24:35.7419186Z [----------] 1 test from ForceNonEmptyOutputs
2023-01-11T22:24:35.7419750Z [ RUN      ] ForceNonEmptyOutputs.TwoSubBlocks
2023-01-11T22:24:35.7420517Z [       OK ] ForceNonEmptyOutputs.TwoSubBlocks (0 ms)
2023-01-11T22:24:35.7421156Z [----------] 1 test from ForceNonEmptyOutputs (0 ms total)
2023-01-11T22:24:35.7421455Z 
2023-01-11T22:24:35.7421777Z [----------] 6 tests from EliminateExtraPermuteOps
2023-01-11T22:24:35.7422361Z [ RUN      ] EliminateExtraPermuteOps.FusesSumCorrectly
2023-01-11T22:24:35.7423031Z [       OK ] EliminateExtraPermuteOps.FusesSumCorrectly (0 ms)
2023-01-11T22:24:35.7423861Z [ RUN      ] EliminateExtraPermuteOps.DoesNotFuseSumWrongDim
2023-01-11T22:24:35.7424598Z [       OK ] EliminateExtraPermuteOps.DoesNotFuseSumWrongDim (0 ms)
2023-01-11T22:24:35.7425368Z [ RUN      ] EliminateExtraPermuteOps.DoesNotFuseSumNonConstantDim
2023-01-11T22:24:35.7426234Z [       OK ] EliminateExtraPermuteOps.DoesNotFuseSumNonConstantDim (0 ms)
2023-01-11T22:24:35.7427010Z [ RUN      ] EliminateExtraPermuteOps.FusesSoftmaxCorrectly
2023-01-11T22:24:35.7428260Z graph(%self : __torch__.m,
2023-01-11T22:24:35.7428556Z       %x.1 : Tensor):
2023-01-11T22:24:35.7428881Z   %9 : NoneType = prim::Constant()
2023-01-11T22:24:35.7429251Z   %4 : int = prim::Constant[value=2]() # <string>:3:33
2023-01-11T22:24:35.7429628Z   %26 : int[] = prim::Constant[value=[0, 2, 1]]()
2023-01-11T22:24:35.7429994Z   %27 : int[] = prim::Constant[value=[0, 2, 1]]()
2023-01-11T22:24:35.7430351Z   %28 : int = prim::Constant[value=1]()
2023-01-11T22:24:35.7430699Z   %29 : Tensor = aten::softmax(%x.1, %28, %9)
2023-01-11T22:24:35.7431044Z   %16 : Tensor = aten::clone(%29, %9) # <string>:6:15
2023-01-11T22:24:35.7431379Z   return (%16)
2023-01-11T22:24:35.7431553Z 
2023-01-11T22:24:35.7493486Z [       OK ] EliminateExtraPermuteOps.FusesSoftmaxCorrectly (6 ms)
2023-01-11T22:24:35.7494302Z [ RUN      ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongPermuteDim
2023-01-11T22:24:35.7498262Z [       OK ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongPermuteDim (0 ms)
2023-01-11T22:24:35.7499184Z [ RUN      ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongSoftmaxDim
2023-01-11T22:24:35.7502563Z [       OK ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongSoftmaxDim (0 ms)
2023-01-11T22:24:35.7503317Z [----------] 6 tests from EliminateExtraPermuteOps (9 ms total)
2023-01-11T22:24:35.7503638Z 
2023-01-11T22:24:35.7503901Z [----------] 1 test from UseSplitAndSqueeze
2023-01-11T22:24:35.7504408Z [ RUN      ] UseSplitAndSqueeze.Fusion
2023-01-11T22:24:35.7504911Z [       OK ] UseSplitAndSqueeze.Fusion (0 ms)
2023-01-11T22:24:35.7505476Z [----------] 1 test from UseSplitAndSqueeze (0 ms total)
2023-01-11T22:24:35.7505747Z 
2023-01-11T22:24:35.7505984Z [----------] 2 tests from EliminateNoOpSlice
2023-01-11T22:24:35.7506431Z [ RUN      ] EliminateNoOpSlice.IntegerStart
2023-01-11T22:24:35.7506940Z [       OK ] EliminateNoOpSlice.IntegerStart (0 ms)
2023-01-11T22:24:35.7507480Z [ RUN      ] EliminateNoOpSlice.NoneStart
2023-01-11T22:24:35.7508027Z [       OK ] EliminateNoOpSlice.NoneStart (0 ms)
2023-01-11T22:24:35.7508627Z [----------] 2 tests from EliminateNoOpSlice (0 ms total)
2023-01-11T22:24:35.7508910Z 
2023-01-11T22:24:35.7509215Z [----------] Global test environment tear-down
2023-01-11T22:24:35.7553503Z [==========] 463 tests from 12 test suites ran. (689129 ms total)
2023-01-11T22:24:35.7553792Z [  PASSED  ] 463 tests.
2023-01-11T22:24:35.8383826Z + assert_git_not_dirty
2023-01-11T22:24:35.8384327Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]]
2023-01-11T22:24:35.8384811Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]]
2023-01-11T22:24:35.8385492Z ++ git status --porcelain
2023-01-11T22:24:35.9204777Z + git_status=
2023-01-11T22:24:35.9205310Z + [[ -n '' ]]
2023-01-11T22:24:35.9205642Z + test_aot_compilation
2023-01-11T22:24:35.9205911Z + echo 'Testing Ahead of Time compilation'
2023-01-11T22:24:35.9206133Z Testing Ahead of Time compilation
2023-01-11T22:24:35.9206730Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:24:35.9214150Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:24:35.9223618Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_aot_compilation
2023-01-11T22:24:35.9223969Z + mkdir -p test/test-reports/cpp-unittest/test_aot_compilation
2023-01-11T22:24:35.9233677Z + '[' -f /opt/conda/lib/python3.7/site-packages/torch/bin/test_mobile_nnc ']'
2023-01-11T22:24:35.9234271Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_mobile_nnc --gtest_output=xml:test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml
2023-01-11T22:24:36.1883232Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2023-01-11T22:24:36.1883861Z [==========] Running 6 tests from 2 test suites.
2023-01-11T22:24:36.1884178Z [----------] Global test environment set-up.
2023-01-11T22:24:36.1884452Z [----------] 4 tests from Function
2023-01-11T22:24:36.1884726Z [ RUN      ] Function.ExecuteSlowMul
2023-01-11T22:24:36.2094710Z [       OK ] Function.ExecuteSlowMul (21 ms)
2023-01-11T22:24:36.2095227Z [ RUN      ] Function.Serialization
2023-01-11T22:24:36.2095533Z [       OK ] Function.Serialization (0 ms)
2023-01-11T22:24:36.2095817Z [ RUN      ] Function.ValidInput
2023-01-11T22:24:36.2096082Z [       OK ] Function.ValidInput (0 ms)
2023-01-11T22:24:36.2096360Z [ RUN      ] Function.InvalidInput
2023-01-11T22:24:36.2103611Z [       OK ] Function.InvalidInput (0 ms)
2023-01-11T22:24:36.2104139Z [----------] 4 tests from Function (22 ms total)
2023-01-11T22:24:36.2104308Z 
2023-01-11T22:24:36.2104471Z [----------] 2 tests from MobileNNCRegistryTest
2023-01-11T22:24:36.2104797Z [ RUN      ] MobileNNCRegistryTest.FindAndRun
2023-01-11T22:24:36.2105145Z [       OK ] MobileNNCRegistryTest.FindAndRun (0 ms)
2023-01-11T22:24:36.2105527Z [ RUN      ] MobileNNCRegistryTest.NoKernel
2023-01-11T22:24:36.2105939Z [       OK ] MobileNNCRegistryTest.NoKernel (0 ms)
2023-01-11T22:24:36.2106382Z [----------] 2 tests from MobileNNCRegistryTest (0 ms total)
2023-01-11T22:24:36.2106638Z 
2023-01-11T22:24:36.2106961Z [----------] Global test environment tear-down
2023-01-11T22:24:36.2107474Z [==========] 6 tests from 2 test suites ran. (22 ms total)
2023-01-11T22:24:36.2107730Z [  PASSED  ] 6 tests.
2023-01-11T22:24:36.2107847Z 
2023-01-11T22:24:36.2107968Z   YOU HAVE 1 DISABLED TEST
2023-01-11T22:24:36.2108085Z 
2023-01-11T22:24:36.2730100Z + '[' -f /opt/conda/lib/python3.7/site-packages/torch/bin/aot_model_compiler_test ']'
2023-01-11T22:24:36.2730422Z + source test/mobile/nnc/test_aot_compile.sh
2023-01-11T22:24:36.2730677Z ++ set -e -o pipefail
2023-01-11T22:24:36.2733500Z +++ python -c 'import site; print(site.getsitepackages()[0])'
2023-01-11T22:24:36.2890415Z ++ TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch
2023-01-11T22:24:36.2890813Z ++ TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin
2023-01-11T22:24:36.2893556Z +++ dirname test/mobile/nnc/test_aot_compile.sh
2023-01-11T22:24:36.2901054Z ++ CURRENT_DIR=test/mobile/nnc
2023-01-11T22:24:36.2901355Z ++ MODEL=aot_test_model.pt
2023-01-11T22:24:36.2901758Z ++ COMPILED_MODEL=aot_test_model.compiled.pt
2023-01-11T22:24:36.2902180Z ++ COMPILED_CODE=aot_test_model.compiled.ll
2023-01-11T22:24:36.2904607Z +++ mktemp -d -t build_XXX
2023-01-11T22:24:36.2953208Z ++ TMP_DIR=/tmp/build_6xJ
2023-01-11T22:24:36.2955192Z + test_custom_script_ops
2023-01-11T22:24:36.2955847Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *asan* ]]
2023-01-11T22:24:36.2956179Z + echo 'Testing custom script operators'
2023-01-11T22:24:36.2956388Z Testing custom script operators
2023-01-11T22:24:36.2956746Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build
2023-01-11T22:24:36.2957019Z + pushd test/custom_operator
2023-01-11T22:24:36.2957338Z ~/workspace/test/custom_operator ~/workspace
2023-01-11T22:24:36.2957682Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build
2023-01-11T22:24:36.3758421Z + python test_custom_ops.py -v
2023-01-11T22:24:37.5725178Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2023-01-11T22:24:37.5736846Z 
2023-01-11T22:24:37.5736978Z Running tests...
2023-01-11T22:24:37.5737424Z ----------------------------------------------------------------------
2023-01-11T22:24:37.5776683Z   test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.004s)
2023-01-11T22:24:37.6221721Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.044s)
2023-01-11T22:24:37.6228099Z   test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s)
2023-01-11T22:24:37.6249179Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1134.)
2023-01-11T22:24:37.6250132Z   allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
2023-01-11T22:24:37.6261940Z ok (0.003s)
2023-01-11T22:24:37.6270068Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s)
2023-01-11T22:24:37.6273761Z   test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.000s)
2023-01-11T22:24:37.6351451Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.008s)
2023-01-11T22:24:37.6351841Z 
2023-01-11T22:24:37.6352226Z ----------------------------------------------------------------------
2023-01-11T22:24:37.6352590Z Ran 7 tests in 0.061s
2023-01-11T22:24:37.6354647Z 
2023-01-11T22:24:37.6354839Z OK
2023-01-11T22:24:37.6355013Z 
2023-01-11T22:24:37.6355109Z Generating XML reports...
2023-01-11T22:24:37.6382815Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20230111222437.xml
2023-01-11T22:24:37.8627264Z + python model.py --export-script-module=model.pt
2023-01-11T22:24:39.0886160Z + build/test_custom_ops ./model.pt
2023-01-11T22:24:39.3990347Z [W engine.cpp:1134] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2023-01-11T22:24:39.4567064Z ok
2023-01-11T22:24:39.5236743Z + popd
2023-01-11T22:24:39.5237131Z ~/workspace
2023-01-11T22:24:39.5237398Z + assert_git_not_dirty
2023-01-11T22:24:39.5237834Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]]
2023-01-11T22:24:39.5238198Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]]
2023-01-11T22:24:39.5240121Z ++ git status --porcelain
2023-01-11T22:24:39.6058682Z + git_status=
2023-01-11T22:24:39.6059082Z + [[ -n '' ]]
2023-01-11T22:24:39.6059340Z + test_custom_backend
2023-01-11T22:24:39.6059734Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *asan* ]]
2023-01-11T22:24:39.6060275Z + echo 'Testing custom backends'
2023-01-11T22:24:39.6060560Z Testing custom backends
2023-01-11T22:24:39.6061132Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build
2023-01-11T22:24:39.6061661Z + pushd test/custom_backend
2023-01-11T22:24:39.6061910Z ~/workspace/test/custom_backend ~/workspace
2023-01-11T22:24:39.6062267Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build
2023-01-11T22:24:39.6621702Z + python test_custom_backend.py -v
2023-01-11T22:24:40.8443266Z Test results will be stored in test-reports/python-unittest/test_custom_backend
2023-01-11T22:24:40.8454921Z 
2023-01-11T22:24:40.8455016Z Running tests...
2023-01-11T22:24:40.8455493Z ----------------------------------------------------------------------
2023-01-11T22:24:40.8462284Z   test_execute (__main__.TestCustomBackend)
2023-01-11T22:24:40.8979370Z Test execution using the custom backend. ... ok (0.052s)
2023-01-11T22:24:40.8987678Z   test_save_load (__main__.TestCustomBackend)
2023-01-11T22:24:40.9160481Z Test that a lowered module can be executed correctly ... ok (0.018s)
2023-01-11T22:24:40.9162539Z 
2023-01-11T22:24:40.9163080Z ----------------------------------------------------------------------
2023-01-11T22:24:40.9163359Z Ran 2 tests in 0.071s
2023-01-11T22:24:40.9163573Z 
2023-01-11T22:24:40.9163636Z OK
2023-01-11T22:24:40.9163740Z 
2023-01-11T22:24:40.9163832Z Generating XML reports...
2023-01-11T22:24:40.9190482Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20230111222440.xml
2023-01-11T22:24:41.1433597Z + python backend.py --export-module-to=model.pt
2023-01-11T22:24:42.4102438Z + build/test_custom_backend ./model.pt
2023-01-11T22:24:42.7149342Z Testing custom_backend
2023-01-11T22:24:42.8063140Z OK
2023-01-11T22:24:42.8717506Z + rm -f ./model.pt
2023-01-11T22:24:42.8772787Z + popd
2023-01-11T22:24:42.8773055Z ~/workspace
2023-01-11T22:24:42.8773249Z + assert_git_not_dirty
2023-01-11T22:24:42.8773637Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]]
2023-01-11T22:24:42.8774002Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]]
2023-01-11T22:24:42.8776586Z ++ git status --porcelain
2023-01-11T22:24:42.9599466Z + git_status=
2023-01-11T22:24:42.9599909Z + [[ -n '' ]]
2023-01-11T22:24:42.9600256Z + test_torch_function_benchmark
2023-01-11T22:24:42.9600705Z + echo 'Testing __torch_function__ benchmarks'
2023-01-11T22:24:42.9600946Z Testing __torch_function__ benchmarks
2023-01-11T22:24:42.9601182Z + pushd benchmarks/overrides_benchmark
2023-01-11T22:24:42.9601426Z ~/workspace/benchmarks/overrides_benchmark ~/workspace
2023-01-11T22:24:42.9601706Z + python bench.py -n 1 -m 2
2023-01-11T22:24:44.0091869Z Type tensor had a minimum time of 0.011682510375976562 us and a standard deviation of 13.997473753988743 us.
2023-01-11T22:24:44.0092471Z Type SubTensor had a minimum time of 0.014066696166992188 us and a standard deviation of 0.034729004255495965 us.
2023-01-11T22:24:44.0093318Z Type WithTorchFunction had a minimum time of 0.009059906005859375 us and a standard deviation of 0.01635297667235136 us.
2023-01-11T22:24:44.0094481Z Type SubWithTorchFunction had a minimum time of 0.018835067749023438 us and a standard deviation of 0.008260782124125399 us.
2023-01-11T22:24:44.1793856Z + python pyspybench.py Tensor -n 1
2023-01-11T22:24:45.4347869Z + python pyspybench.py SubTensor -n 1
2023-01-11T22:24:46.6978764Z + python pyspybench.py WithTorchFunction -n 1
2023-01-11T22:24:47.9267291Z + python pyspybench.py SubWithTorchFunction -n 1
2023-01-11T22:24:49.1756061Z + popd
2023-01-11T22:24:49.1756292Z ~/workspace
2023-01-11T22:24:49.1756470Z + assert_git_not_dirty
2023-01-11T22:24:49.1756952Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]]
2023-01-11T22:24:49.1757336Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]]
2023-01-11T22:24:49.1759079Z ++ git status --porcelain
2023-01-11T22:24:49.2576980Z + git_status=
2023-01-11T22:24:49.2577335Z + [[ -n '' ]]
2023-01-11T22:24:49.2661991Z Prepare all required actions
2023-01-11T22:24:49.2662308Z Getting action download info
2023-01-11T22:24:49.4500578Z ##[group]Run ./.github/actions/get-workflow-job-id
2023-01-11T22:24:49.4500792Z with:
2023-01-11T22:24:49.4501105Z   github-token: ***
2023-01-11T22:24:49.4501276Z env:
2023-01-11T22:24:49.4501435Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:49.4501712Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:49.4502063Z ##[endgroup]
2023-01-11T22:24:49.4527147Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2023-01-11T22:24:49.4527385Z with:
2023-01-11T22:24:49.4527534Z   shell: bash
2023-01-11T22:24:49.4527706Z   timeout_minutes: 10
2023-01-11T22:24:49.4527882Z   max_attempts: 5
2023-01-11T22:24:49.4528048Z   retry_wait_seconds: 30
2023-01-11T22:24:49.4528463Z   command: set -eux
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}"

2023-01-11T22:24:49.4528829Z   polling_interval_seconds: 1
2023-01-11T22:24:49.4529022Z   warning_on_retry: true
2023-01-11T22:24:49.4529208Z   continue_on_error: false
2023-01-11T22:24:49.4529483Z env:
2023-01-11T22:24:49.4529651Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:49.4529924Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:49.4530298Z   GITHUB_TOKEN: ***
2023-01-11T22:24:49.4530458Z ##[endgroup]
2023-01-11T22:24:49.5057969Z + python3 -m pip install requests==2.26.0
2023-01-11T22:24:50.1673105Z Defaulting to user installation because normal site-packages is not writeable
2023-01-11T22:24:50.1942373Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2023-01-11T22:24:50.2075675Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12)
2023-01-11T22:24:50.2102510Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.14)
2023-01-11T22:24:50.2263402Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4)
2023-01-11T22:24:50.2278315Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.12.7)
2023-01-11T22:24:50.4251430Z ++ python3 .github/scripts/get_workflow_job_id.py 3896346758 i-01f2ab378c1fce18b
2023-01-11T22:24:53.3255458Z + GHA_WORKFLOW_JOB_ID=10588926540
2023-01-11T22:24:53.3256909Z + echo job-id=10588926540
2023-01-11T22:24:53.5072089Z Command completed after 1 attempt(s).
2023-01-11T22:24:53.5176403Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2023-01-11T22:24:53.5176628Z kill "$MONITOR_SCRIPT_PID"
2023-01-11T22:24:53.5926152Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:24:53.5926386Z env:
2023-01-11T22:24:53.5926552Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:53.5926828Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:53.5927104Z   MONITOR_SCRIPT_PID: 22040
2023-01-11T22:24:53.5927289Z ##[endgroup]
2023-01-11T22:24:53.6010935Z Prepare all required actions
2023-01-11T22:24:53.6011197Z Getting action download info
2023-01-11T22:24:53.8044210Z Download action repository 'actions/upload-artifact@v3' (SHA:0b7f8abb1508181956e8e162db84b466c27e18ce)
2023-01-11T22:24:53.9988230Z ##[group]Run ./.github/actions/upload-test-artifacts
2023-01-11T22:24:53.9988442Z with:
2023-01-11T22:24:53.9988665Z   file-suffix: test-default-2-2-linux.2xlarge_10588926540
2023-01-11T22:24:53.9988881Z env:
2023-01-11T22:24:53.9989040Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:53.9989312Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:53.9989569Z ##[endgroup]
2023-01-11T22:24:54.0015067Z ##[group]Run # Remove any previous test jsons if they exist
2023-01-11T22:24:54.0015519Z # Remove any previous test jsons if they exist
2023-01-11T22:24:54.0015751Z rm -f test-jsons-*.zip
2023-01-11T22:24:54.0016032Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2023-01-11T22:24:54.0026924Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:24:54.0027226Z env:
2023-01-11T22:24:54.0027401Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:54.0027669Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:54.0027987Z   FILE_SUFFIX: test-default-2-2-linux.2xlarge_10588926540
2023-01-11T22:24:54.0028210Z ##[endgroup]
2023-01-11T22:24:54.0218890Z   adding: test/allowlist_for_publicAPI.json (deflated 78%)
2023-01-11T22:24:54.0245859Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2023-01-11T22:24:54.0251777Z   adding: test/profiler/profiler_utils_mock_events.json (deflated 87%)
2023-01-11T22:24:54.0253048Z   adding: test/.pytorch-slow-tests.json (deflated 74%)
2023-01-11T22:24:54.0257511Z   adding: test/.pytorch-disabled-tests.json (deflated 84%)
2023-01-11T22:24:54.0275122Z ##[group]Run # Remove any previous test reports if they exist
2023-01-11T22:24:54.0275401Z # Remove any previous test reports if they exist
2023-01-11T22:24:54.0275644Z rm -f test-reports-*.zip
2023-01-11T22:24:54.0275906Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv'
2023-01-11T22:24:54.0286490Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:24:54.0286708Z env:
2023-01-11T22:24:54.0286881Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:54.0287146Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:54.0287460Z   FILE_SUFFIX: test-default-2-2-linux.2xlarge_10588926540
2023-01-11T22:24:54.0287680Z ##[endgroup]
2023-01-11T22:24:54.0394749Z   adding: test/custom_backend/test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20230111222440.xml (deflated 56%)
2023-01-11T22:24:54.0395671Z   adding: test/custom_operator/test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20230111222437.xml (deflated 65%)
2023-01-11T22:24:54.0403792Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20230111205016.xml (deflated 68%)
2023-01-11T22:24:54.0408838Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20230111205016.xml (deflated 85%)
2023-01-11T22:24:54.0416247Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20230111205016.xml (deflated 84%)
2023-01-11T22:24:54.0420492Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20230111205016.xml (deflated 82%)
2023-01-11T22:24:54.0485810Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestProxyTensorOpInfoCPU-20230111205016.xml (deflated 95%)
2023-01-11T22:24:54.0489246Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20230111205016.xml (deflated 84%)
2023-01-11T22:24:54.0507270Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20230111205059.xml (deflated 90%)
2023-01-11T22:24:54.0700305Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20230111205059.xml (deflated 94%)
2023-01-11T22:24:54.0703851Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-ExprPrinterTests-20230111205059.xml (deflated 41%)
2023-01-11T22:24:54.0735444Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20230111205059.xml (deflated 97%)
2023-01-11T22:24:54.0738593Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20230111205059.xml (deflated 57%)
2023-01-11T22:24:54.0770843Z   adding: test/test-reports/python-unittest/test_foreach/TEST-TestForeachCPU-20230111210156.xml (deflated 97%)
2023-01-11T22:24:54.0805079Z   adding: test/test-reports/python-unittest/test_sparse/TEST-TestSparseAnyCPU-20230111210414.xml (deflated 97%)
2023-01-11T22:24:54.0821763Z   adding: test/test-reports/python-unittest/test_sparse/TEST-TestSparseCPU-20230111210414.xml (deflated 91%)
2023-01-11T22:24:54.0831081Z   adding: test/test-reports/python-unittest/test_sparse/TEST-TestSparseMaskedReductionsCPU-20230111210414.xml (deflated 97%)
2023-01-11T22:24:54.0835883Z   adding: test/test-reports/python-unittest/test_sparse/TEST-TestSparseMeta-20230111210414.xml (deflated 41%)
2023-01-11T22:24:54.0867010Z   adding: test/test-reports/python-unittest/test_sparse/TEST-TestSparseUnaryUfuncsCPU-20230111210414.xml (deflated 97%)
2023-01-11T22:24:54.0870625Z   adding: test/test-reports/python-unittest/test_sparse/TEST-TestSparseOneOff-20230111210414.xml (deflated 58%)
2023-01-11T22:24:54.0878075Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestAssert-20230111210525.xml (deflated 53%)
2023-01-11T22:24:54.0882822Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20230111210525.xml (deflated 78%)
2023-01-11T22:24:54.0890986Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20230111210525.xml (deflated 55%)
2023-01-11T22:24:54.0895448Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20230111210525.xml (deflated 62%)
2023-01-11T22:24:54.0899379Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20230111210525.xml (deflated 41%)
2023-01-11T22:24:54.0902631Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestHipify-20230111210525.xml (deflated 40%)
2023-01-11T22:24:54.0913607Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20230111210525.xml (deflated 52%)
2023-01-11T22:24:54.0918865Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20230111210525.xml (deflated 41%)
2023-01-11T22:24:54.0923047Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestBottleneck-20230111210525.xml (deflated 51%)
2023-01-11T22:24:54.0928467Z   adding: test/test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20230111210525.xml (deflated 42%)
2023-01-11T22:24:54.0939521Z   adding: test/test-reports/python-unittest/test_transformers/TEST-TestTransformers-20230111210544.xml (deflated 91%)
2023-01-11T22:24:54.0944043Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_activation_sparsifier.TestActivationSparsifier-20230111210556.xml (deflated 54%)
2023-01-11T22:24:54.0947624Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_scheduler.TestBaseDataScheduler-20230111210556.xml (deflated 71%)
2023-01-11T22:24:54.0950857Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier-20230111210556.xml (deflated 65%)
2023-01-11T22:24:54.0962020Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20230111210556.xml (deflated 82%)
2023-01-11T22:24:54.0965883Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_structured_sparsifier.TestBaseStructuredSparsifier-20230111210556.xml (deflated 85%)
2023-01-11T22:24:54.0969326Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20230111210556.xml (deflated 75%)
2023-01-11T22:24:54.0973858Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20230111210556.xml (deflated 57%)
2023-01-11T22:24:54.0985346Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20230111210556.xml (deflated 73%)
2023-01-11T22:24:54.0987739Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestFxComposability-20230111210556.xml (deflated 80%)
2023-01-11T22:24:54.0990798Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier-20230111210556.xml (deflated 76%)
2023-01-11T22:24:54.0994247Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers-20230111210556.xml (deflated 70%)
2023-01-11T22:24:54.1006113Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestQuantizationUtils-20230111210556.xml (deflated 71%)
2023-01-11T22:24:54.1009142Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseKernels-20230111210556.xml (deflated 50%)
2023-01-11T22:24:54.1012777Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseLayers-20230111210556.xml (deflated 64%)
2023-01-11T22:24:54.1015785Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestScheduler-20230111210556.xml (deflated 70%)
2023-01-11T22:24:54.1027485Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions-20230111210556.xml (deflated 78%)
2023-01-11T22:24:54.1029954Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestWeightNormSparsifier-20230111210556.xml (deflated 78%)
2023-01-11T22:24:54.1033135Z   adding: test/test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20230111210606.xml (deflated 40%)
2023-01-11T22:24:54.1038971Z   adding: test/test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20230111210606.xml (deflated 43%)
2023-01-11T22:24:54.1050461Z   adding: test/test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20230111210606.xml (deflated 78%)
2023-01-11T22:24:54.1064111Z   adding: test/test-reports/python-unittest/dynamo.test_misc/TEST-MiscTests-20230111210614.xml (deflated 90%)
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2023-01-11T22:24:54.1076154Z   adding: test/test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20230111210622.xml (deflated 92%)
2023-01-11T22:24:54.1084971Z   adding: test/test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCPU-20230111210628.xml (deflated 93%)
2023-01-11T22:24:54.1089912Z   adding: test/test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatch-20230111210633.xml (deflated 87%)
2023-01-11T22:24:54.1101405Z   adding: test/test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatcher-20230111210633.xml (deflated 55%)
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2023-01-11T22:24:54.1109992Z   adding: test/test-reports/python-unittest/profiler.test_profiler_tree/TEST-TestProfilerTree-20230111210637.xml (deflated 82%)
2023-01-11T22:24:54.1113999Z   adding: test/test-reports/python-unittest/dynamo.test_torchxla_integration/TEST-TorchXLAReuseGraphTest-20230111210641.xml (deflated 76%)
2023-01-11T22:24:54.1122404Z   adding: test/test-reports/python-unittest/test_decomp/TEST-DecompContiguousTestsCPU-20230111210659.xml (deflated 56%)
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2023-01-11T22:24:54.2452612Z   adding: test/test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20230111213137.xml (deflated 81%)
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2023-01-11T22:24:54.2765979Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-b7f7caad8b09ce22.xml (deflated 95%)
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2023-01-11T22:24:54.2927574Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_jit.xml (deflated 92%)
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2023-01-11T22:24:54.2973397Z   adding: test/test-reports/cpp-unittest/test_libtorch/static_runtime_test.xml (deflated 91%)
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2023-01-11T22:24:54.3002566Z ##[group]Run # Remove any previous test reports if they exist
2023-01-11T22:24:54.3003061Z # Remove any previous test reports if they exist
2023-01-11T22:24:54.3003687Z rm -f usage-log-*.zip
2023-01-11T22:24:54.3004129Z # this workflow is also run in bazel build test, but we dont generate usage reports for it
2023-01-11T22:24:54.3004567Z # so check to see if the file exists first
2023-01-11T22:24:54.3004940Z if [ -f 'usage_log.txt' ]; then
2023-01-11T22:24:54.3005341Z     zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt'
2023-01-11T22:24:54.3005680Z fi
2023-01-11T22:24:54.3016630Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:24:54.3016858Z env:
2023-01-11T22:24:54.3017021Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:54.3017303Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:54.3017631Z   FILE_SUFFIX: test-default-2-2-linux.2xlarge_10588926540
2023-01-11T22:24:54.3017845Z ##[endgroup]
2023-01-11T22:24:54.3732548Z   adding: usage_log.txt (deflated 98%)
2023-01-11T22:24:54.3767145Z ##[group]Run seemethere/upload-artifact-s3@v5
2023-01-11T22:24:54.3767366Z with:
2023-01-11T22:24:54.3767556Z   s3-prefix: pytorch/pytorch/3896346758/1/artifact

2023-01-11T22:24:54.3767774Z   retention-days: 14
2023-01-11T22:24:54.3767973Z   if-no-files-found: warn
2023-01-11T22:24:54.3768157Z   path: test-jsons-*.zip
2023-01-11T22:24:54.3768337Z   name: artifact
2023-01-11T22:24:54.3768518Z   s3-bucket: gha-artifacts
2023-01-11T22:24:54.3768692Z   region: us-east-1
2023-01-11T22:24:54.3768856Z env:
2023-01-11T22:24:54.3769026Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:54.3769290Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:54.3769551Z ##[endgroup]
2023-01-11T22:24:54.7381296Z NOTE: s3-prefix specified, ignoring name parameter
2023-01-11T22:24:54.7381841Z With the provided path, there will be 1 file uploaded
2023-01-11T22:24:54.7382113Z Uploading to s3 prefix: pytorch/pytorch/3896346758/1/artifact
2023-01-11T22:24:54.7389248Z Starting upload of test-jsons-test-default-2-2-linux.2xlarge_10588926540.zip
2023-01-11T22:24:54.8625513Z Finished upload of test-jsons-test-default-2-2-linux.2xlarge_10588926540.zip
2023-01-11T22:24:54.8745537Z ##[group]Run seemethere/upload-artifact-s3@v5
2023-01-11T22:24:54.8745751Z with:
2023-01-11T22:24:54.8745941Z   s3-prefix: pytorch/pytorch/3896346758/1/artifact

2023-01-11T22:24:54.8746155Z   retention-days: 14
2023-01-11T22:24:54.8746351Z   if-no-files-found: error
2023-01-11T22:24:54.8746540Z   path: test-reports-*.zip
2023-01-11T22:24:54.8746723Z   name: artifact
2023-01-11T22:24:54.8746900Z   s3-bucket: gha-artifacts
2023-01-11T22:24:54.8747070Z   region: us-east-1
2023-01-11T22:24:54.8747233Z env:
2023-01-11T22:24:54.8747403Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:54.8747677Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:54.8747917Z ##[endgroup]
2023-01-11T22:24:55.2046164Z NOTE: s3-prefix specified, ignoring name parameter
2023-01-11T22:24:55.2046694Z With the provided path, there will be 1 file uploaded
2023-01-11T22:24:55.2047370Z Uploading to s3 prefix: pytorch/pytorch/3896346758/1/artifact
2023-01-11T22:24:55.2055326Z Starting upload of test-reports-test-default-2-2-linux.2xlarge_10588926540.zip
2023-01-11T22:24:55.4318741Z Finished upload of test-reports-test-default-2-2-linux.2xlarge_10588926540.zip
2023-01-11T22:24:55.4440278Z ##[group]Run seemethere/upload-artifact-s3@v5
2023-01-11T22:24:55.4440495Z with:
2023-01-11T22:24:55.4440682Z   s3-prefix: pytorch/pytorch/3896346758/1/artifact

2023-01-11T22:24:55.4440898Z   retention-days: 14
2023-01-11T22:24:55.4441093Z   if-no-files-found: ignore
2023-01-11T22:24:55.4441277Z   path: usage-log-*.zip
2023-01-11T22:24:55.4441458Z   name: artifact
2023-01-11T22:24:55.4441639Z   s3-bucket: gha-artifacts
2023-01-11T22:24:55.4441814Z   region: us-east-1
2023-01-11T22:24:55.4441976Z env:
2023-01-11T22:24:55.4442142Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:55.4442419Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:55.4442666Z ##[endgroup]
2023-01-11T22:24:55.7776513Z NOTE: s3-prefix specified, ignoring name parameter
2023-01-11T22:24:55.7777017Z With the provided path, there will be 1 file uploaded
2023-01-11T22:24:55.7777465Z Uploading to s3 prefix: pytorch/pytorch/3896346758/1/artifact
2023-01-11T22:24:55.7785602Z Starting upload of usage-log-test-default-2-2-linux.2xlarge_10588926540.zip
2023-01-11T22:24:55.8758362Z Finished upload of usage-log-test-default-2-2-linux.2xlarge_10588926540.zip
2023-01-11T22:24:55.8874810Z ##[group]Run # shellcheck disable=SC2156
2023-01-11T22:24:55.8875057Z # shellcheck disable=SC2156
2023-01-11T22:24:55.8875350Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2023-01-11T22:24:55.8886784Z shell: /usr/bin/bash -e {0}
2023-01-11T22:24:55.8886976Z env:
2023-01-11T22:24:55.8887138Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:24:55.8887416Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:24:55.8887683Z ##[endgroup]
2023-01-11T22:24:57.7447448Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2
2023-01-11T22:24:57.7447988Z Copyright (C) 2020 Free Software Foundation, Inc.
2023-01-11T22:24:57.7448326Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2023-01-11T22:24:57.7448628Z This is free software: you are free to change and redistribute it.
2023-01-11T22:24:57.7449102Z There is NO WARRANTY, to the extent permitted by law.
2023-01-11T22:24:57.7449454Z Type "show copying" and "show warranty" for details.
2023-01-11T22:24:57.7449990Z This GDB was configured as "x86_64-linux-gnu".
2023-01-11T22:24:57.7450420Z Type "show configuration" for configuration details.
2023-01-11T22:24:57.7450678Z For bug reporting instructions, please see:
2023-01-11T22:24:57.7450910Z <http://www.gnu.org/software/gdb/bugs/>.
2023-01-11T22:24:57.7451512Z Find the GDB manual and other documentation resources online at:
2023-01-11T22:24:57.7451831Z     <http://www.gnu.org/software/gdb/documentation/>.
2023-01-11T22:24:57.7452000Z 
2023-01-11T22:24:57.7452080Z For help, type "help".
2023-01-11T22:24:57.7452306Z Type "apropos word" to search for commands related to "word"...
2023-01-11T22:24:57.8514032Z Reading symbols from python...
2023-01-11T22:24:58.1904896Z 
2023-01-11T22:24:58.1905307Z warning: core file may not match specified executable file.
2023-01-11T22:24:58.3452825Z [New LWP 6226]
2023-01-11T22:24:58.3453130Z [New LWP 6243]
2023-01-11T22:24:58.3453466Z [New LWP 6241]
2023-01-11T22:24:58.3453781Z [New LWP 6242]
2023-01-11T22:24:58.3453988Z [New LWP 6244]
2023-01-11T22:24:58.3454155Z [New LWP 6247]
2023-01-11T22:24:58.3454322Z [New LWP 6245]
2023-01-11T22:24:58.3454474Z [New LWP 6246]
2023-01-11T22:24:58.3596931Z [Thread debugging using libthread_db enabled]
2023-01-11T22:24:58.3597396Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2023-01-11T22:25:02.5735988Z 50	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2023-01-11T22:25:02.5736931Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2023-01-11T22:25:02.5737454Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2023-01-11T22:25:02.5737783Z Program terminated with signal SIGSEGV, Segmentation fault.
2023-01-11T22:25:02.5738094Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:02.5738371Z [Current thread is 1 (Thread 0x7f08d31f9280 (LWP 6226))]
2023-01-11T22:25:02.5816619Z To enable execution of this file add
2023-01-11T22:25:02.5817065Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2023-01-11T22:25:02.5817521Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:02.5818019Z To completely disable this security protection add
2023-01-11T22:25:02.5818309Z 	set auto-load safe-path /
2023-01-11T22:25:02.5818558Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:02.5818873Z For more information about this security protection see the
2023-01-11T22:25:02.5819217Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2023-01-11T22:25:02.5819521Z 	info "(gdb)Auto-loading safe path"
2023-01-11T22:25:02.5819778Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:02.5820183Z #1  0x00007f08caee79bb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2023-01-11T22:25:02.5820555Z    from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so
2023-01-11T22:25:02.5824561Z #2  <signal handler called>
2023-01-11T22:25:02.5824883Z #3  __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65
2023-01-11T22:25:02.5922086Z #4  0x00007f08d2bf27ed in string_at (size=<optimized out>, ptr=0x0)
2023-01-11T22:25:02.5922467Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5382
2023-01-11T22:25:02.5925762Z #5  string_at (ptr=0x0, size=<optimized out>)
2023-01-11T22:25:02.5926102Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5379
2023-01-11T22:25:02.5927367Z #6  0x00007f08d2bd6052 in ffi_call_unix64 ()
2023-01-11T22:25:02.5927934Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:02.5932362Z #7  0x00007f08d2bd48cd in ffi_call_int ()
2023-01-11T22:25:02.5932918Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:02.5968365Z #8  0x00007f08d2bec593 in _call_function_pointer (argcount=2, 
2023-01-11T22:25:02.5969039Z     resmem=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, restype=<optimized out>, atypes=<optimized out>, 
2023-01-11T22:25:02.5969836Z     avalues=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, pProc=0x7f08d2bf27d0 <string_at>, flags=4357)
2023-01-11T22:25:02.5970567Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:816
2023-01-11T22:25:02.5971422Z #9  _ctypes_callproc (pProc=0x7f08d2bf27d0 <string_at>, 
2023-01-11T22:25:02.5971918Z     argtuple=<optimized out>, flags=4357, argtypes=<optimized out>, 
2023-01-11T22:25:02.5972180Z     restype=<optimized out>, checker=0x0)
2023-01-11T22:25:02.5972572Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:1188
2023-01-11T22:25:02.5974297Z #10 0x00007f08d2bebc59 in PyCFuncPtr_call (self=<optimized out>, 
2023-01-11T22:25:02.5974750Z     inargs=<optimized out>, kwds=0x0)
2023-01-11T22:25:02.5975267Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:4025
2023-01-11T22:25:02.5989654Z #11 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:02.5990173Z     callable=0x7f08d25d52c0, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:02.5990537Z     kwnames=<optimized out>)
2023-01-11T22:25:02.5990846Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:02.6005644Z #12 0x00000000004ba379 in call_function (pp_stack=0x7ffedd27a408, 
2023-01-11T22:25:02.6006311Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6006723Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:02.6017872Z #13 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6018295Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6018825Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:02.6019190Z #14 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6019747Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6020292Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:02.6028641Z #15 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:02.6029261Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:02.6029618Z     kwnames=<optimized out>, kwargs=0x7f08768033a0, kwcount=<optimized out>, 
2023-01-11T22:25:02.6029911Z     kwstep=1, defs=0x7f08d29b28a8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:02.6030173Z     name=0x7f08d25d4cf0, qualname=0x7f08d25d4cf0)
2023-01-11T22:25:02.6030525Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:02.6031890Z #16 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:02.6032606Z     stack=0x7f0876803398, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:02.6032959Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:02.6034802Z #17 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27a6d0, 
2023-01-11T22:25:02.6035277Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6035814Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6036532Z #18 0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6036957Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6037494Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:02.6037963Z #19 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6038392Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6038986Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:02.6039566Z #20 function_code_fastcall (
2023-01-11T22:25:02.6040031Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:02.6040445Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:02.6040923Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:02.6041435Z #21 _PyFunction_FastCallDict (func=<optimized out>, args=0x7ffedd27a830, 
2023-01-11T22:25:02.6041960Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:02.6042313Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:02.6055333Z #22 0x00000000005155c4 in _PyObject_FastCallDict (kwargs=0x0, nargs=2, 
2023-01-11T22:25:02.6055807Z     args=0x7ffedd27a830, callable=0x7f08768153b0)
2023-01-11T22:25:02.6056275Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1536
2023-01-11T22:25:02.6058530Z #23 _PyObject_FastCall_Prepend (nargs=2, args=0x7ffedd27a828, 
2023-01-11T22:25:02.6058990Z     obj=0x7f08786aa810, callable=0x7f08768153b0)
2023-01-11T22:25:02.6059456Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:868
2023-01-11T22:25:02.6062365Z #24 call_unbound (nargs=1, args=0x7ffedd27a828, self=0x7f08786aa810, 
2023-01-11T22:25:02.6062832Z     func=0x7f08768153b0, unbound=1)
2023-01-11T22:25:02.6063238Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1503
2023-01-11T22:25:02.6065426Z #25 call_method (nargs=1, 
2023-01-11T22:25:02.6065998Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=0x7ffedd27a828, 
2023-01-11T22:25:02.6066675Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, name=0x6d8640 <id>, 
2023-01-11T22:25:02.6067113Z     name@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7f08786aa810, 
2023-01-11T22:25:02.6067478Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:02.6067887Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1535
2023-01-11T22:25:02.6068173Z #26 slot_mp_subscript (self=0x7f08786aa810, arg1=<optimized out>)
2023-01-11T22:25:02.6068537Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6170
2023-01-11T22:25:02.6069042Z #27 0x00000000004b337f in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6069435Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6069798Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:1313
2023-01-11T22:25:02.6070034Z #28 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6070339Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6070959Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:02.6079440Z #29 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:02.6079755Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:02.6080064Z     kwnames=<optimized out>, kwargs=0x7f0876a61e98, kwcount=<optimized out>, 
2023-01-11T22:25:02.6080353Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x7f0876818550, 
2023-01-11T22:25:02.6080614Z     name=0x7f0879171bb0, qualname=0x7f0879168e10)
2023-01-11T22:25:02.6080929Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:02.6082723Z #30 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:02.6083054Z     stack=0x7f0876a61e90, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:02.6083554Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:02.6085776Z #31 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27abf8, 
2023-01-11T22:25:02.6086252Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6086712Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6087709Z #32 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6088141Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6088704Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:02.6089053Z #33 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6089363Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6089888Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:02.6098030Z #34 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:02.6098578Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:02.6099075Z     kwnames=<optimized out>, kwargs=0x596d3e0, kwcount=<optimized out>, 
2023-01-11T22:25:02.6099353Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:02.6099596Z     name=0x7f08791d5230, qualname=0x7f0879172580)
2023-01-11T22:25:02.6099902Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:02.6101518Z #35 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:02.6102181Z     stack=0x596d3d0, nargs=2, kwnames=<optimized out>)
2023-01-11T22:25:02.6102535Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:02.6104500Z #36 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27aec0, 
2023-01-11T22:25:02.6104774Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6105107Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6106551Z #37 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6106872Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6107288Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:02.6107523Z #38 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6107829Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6108436Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:02.6108944Z #39 function_code_fastcall (
2023-01-11T22:25:02.6109299Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:02.6109727Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:02.6110230Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:02.6111155Z #40 _PyFunction_FastCallDict (func=<optimized out>, args=0x7f08d2d477f8, 
2023-01-11T22:25:02.6111508Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:02.6111835Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:02.6115365Z #41 0x00000000004b4515 in do_call_core (kwdict=0x7f08767f45f0, 
2023-01-11T22:25:02.6115680Z     callargs=0x7f08d2d477e0, func=0x7f0879170200)
2023-01-11T22:25:02.6116043Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:02.6116408Z #42 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:02.6116761Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:02.6118464Z #43 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6118911Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7f0876b273b0)
2023-01-11T22:25:02.6119452Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:02.6119734Z #44 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:02.6120089Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:02.6120499Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:02.6122144Z #45 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x598f748, 
2023-01-11T22:25:02.6122443Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:02.6122744Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:02.6124883Z #46 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27b250, 
2023-01-11T22:25:02.6125170Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6125493Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6126809Z #47 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6127102Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6127409Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:02.6128966Z #48 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6129358Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x598f5a0)
2023-01-11T22:25:02.6129864Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:02.6130207Z #49 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:02.6130687Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:02.6131101Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:02.6133364Z #50 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x14e1b40, 
2023-01-11T22:25:02.6133612Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:02.6133924Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:02.6136065Z #51 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27b420, 
2023-01-11T22:25:02.6136336Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6136651Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6137720Z #52 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6138008Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6138303Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:02.6139587Z #53 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6140062Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x14e19b0)
2023-01-11T22:25:02.6140593Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:02.6140856Z #54 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:02.6141315Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:02.6141722Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:02.6143762Z #55 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x153b6e0, 
2023-01-11T22:25:02.6144083Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:02.6144392Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:02.6146539Z #56 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27b5f8, 
2023-01-11T22:25:02.6146998Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6147498Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6148324Z #57 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6148777Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6149317Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:02.6149740Z #58 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6150044Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6150553Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:02.6158648Z #59 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:02.6159042Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:02.6159352Z     kwnames=<optimized out>, kwargs=0x7f08d30257c0, kwcount=<optimized out>, 
2023-01-11T22:25:02.6159630Z     kwstep=1, defs=0x7f08d2e6cb08, defcount=2, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:02.6159892Z     name=0x7f08d2f868b0, qualname=0x7f08d2f868b0)
2023-01-11T22:25:02.6160215Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:02.6161818Z #60 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:02.6162216Z     stack=0x7f08d30257c0, nargs=0, kwnames=<optimized out>)
2023-01-11T22:25:02.6162545Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:02.6164560Z #61 0x00000000004ba23f in call_function (pp_stack=0x7ffedd27b8d0, 
2023-01-11T22:25:02.6164890Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:02.6165227Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:02.6166217Z #62 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:02.6166596Z     throwflag=<optimized out>)
2023-01-11T22:25:02.6166962Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:02.6167525Z #63 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:02.6167840Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6168372Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:02.6176573Z #64 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:02.6177146Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:02.6177575Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:02.6177861Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0)
2023-01-11T22:25:02.6178198Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:02.6182554Z #65 0x00000000004b1209 in PyEval_EvalCodeEx (_co=<optimized out>, 
2023-01-11T22:25:02.6182941Z     globals=<optimized out>, locals=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:02.6183233Z     argcount=<optimized out>, kws=<optimized out>, kwcount=0, defs=0x0, 
2023-01-11T22:25:02.6183487Z     defcount=0, kwdefs=0x0, closure=0x0)
2023-01-11T22:25:02.6183902Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3959
2023-01-11T22:25:02.6186848Z #66 0x000000000054f39b in PyEval_EvalCode (co=co@entry=0x7f08d2f9fae0, 
2023-01-11T22:25:02.6187362Z     globals=globals@entry=0x7f08d2fce1e0, locals=locals@entry=0x7f08d2fce1e0)
2023-01-11T22:25:02.6187881Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:524
2023-01-11T22:25:02.6204118Z #67 0x000000000056a263 in run_mod (mod=<optimized out>, 
2023-01-11T22:25:02.6204627Z     filename=<optimized out>, globals=0x7f08d2fce1e0, locals=0x7f08d2fce1e0, 
2023-01-11T22:25:02.6205041Z     flags=<optimized out>, arena=<optimized out>)
2023-01-11T22:25:02.6205365Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:1037
2023-01-11T22:25:02.6220522Z #68 0x000000000056692b in PyRun_StringFlags (str=<optimized out>, start=257, 
2023-01-11T22:25:02.6221075Z     globals=0x7f08d2fce1e0, locals=0x7f08d2fce1e0, flags=0x7ffedd27bb60)
2023-01-11T22:25:02.6221495Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:961
2023-01-11T22:25:02.6248434Z #69 0x000000000056679b in PyRun_SimpleStringFlags (
2023-01-11T22:25:02.6249097Z     command=0x7f08d2f41dd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=12, pipe_handle=16)\n", flags=0x7ffedd27bb60)
2023-01-11T22:25:02.6249588Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:455
2023-01-11T22:25:02.6251438Z #70 0x0000000000544967 in pymain_run_command (cf=0x7ffedd27bb60, 
2023-01-11T22:25:02.6252010Z     cf@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:02.6252932Z     command=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Modules/main.c:428
2023-01-11T22:25:02.6253485Z #71 pymain_run_python (pymain=0x7ffedd27bc70)
2023-01-11T22:25:02.6253866Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:2964
2023-01-11T22:25:02.6254137Z #72 pymain_main (pymain=0x7ffedd27bc70)
2023-01-11T22:25:02.6254454Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3517
2023-01-11T22:25:02.6394644Z #73 0x000000000054487c in _Py_UnixMain (argc=<optimized out>, 
2023-01-11T22:25:02.6394905Z     argv=<optimized out>)
2023-01-11T22:25:02.6395220Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3552
2023-01-11T22:25:02.6398620Z #74 0x00007f08d321e083 in __libc_start_main (main=0x544830 <main>, argc=5, 
2023-01-11T22:25:02.6399092Z     argv=0x7ffedd27bdd8, init=<optimized out>, fini=<optimized out>, 
2023-01-11T22:25:02.6399707Z     rtld_fini=<optimized out>, stack_end=0x7ffedd27bdc8)
2023-01-11T22:25:02.6399996Z     at ../csu/libc-start.c:308
2023-01-11T22:25:02.6400195Z #75 0x000000000054472e in _start ()
2023-01-11T22:25:02.6400497Z     at /usr/local/src/conda/python-3.7.15/Modules/itertoolsmodule.c:2515
2023-01-11T22:25:02.8016259Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2
2023-01-11T22:25:02.8016656Z Copyright (C) 2020 Free Software Foundation, Inc.
2023-01-11T22:25:02.8017006Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2023-01-11T22:25:02.8017305Z This is free software: you are free to change and redistribute it.
2023-01-11T22:25:02.8017582Z There is NO WARRANTY, to the extent permitted by law.
2023-01-11T22:25:02.8017837Z Type "show copying" and "show warranty" for details.
2023-01-11T22:25:02.8018124Z This GDB was configured as "x86_64-linux-gnu".
2023-01-11T22:25:02.8018377Z Type "show configuration" for configuration details.
2023-01-11T22:25:02.8018626Z For bug reporting instructions, please see:
2023-01-11T22:25:02.8018858Z <http://www.gnu.org/software/gdb/bugs/>.
2023-01-11T22:25:02.8019125Z Find the GDB manual and other documentation resources online at:
2023-01-11T22:25:02.8019401Z     <http://www.gnu.org/software/gdb/documentation/>.
2023-01-11T22:25:02.8019551Z 
2023-01-11T22:25:02.8019629Z For help, type "help".
2023-01-11T22:25:02.8019853Z Type "apropos word" to search for commands related to "word"...
2023-01-11T22:25:02.8502953Z Reading symbols from python...
2023-01-11T22:25:03.1884212Z 
2023-01-11T22:25:03.1884606Z warning: core file may not match specified executable file.
2023-01-11T22:25:03.2622350Z [New LWP 6227]
2023-01-11T22:25:03.2622658Z [New LWP 6234]
2023-01-11T22:25:03.2622970Z [New LWP 6235]
2023-01-11T22:25:03.2623286Z [New LWP 6239]
2023-01-11T22:25:03.2623488Z [New LWP 6240]
2023-01-11T22:25:03.2623649Z [New LWP 6237]
2023-01-11T22:25:03.2623811Z [New LWP 6236]
2023-01-11T22:25:03.2623961Z [New LWP 6238]
2023-01-11T22:25:03.2708281Z [Thread debugging using libthread_db enabled]
2023-01-11T22:25:03.2708795Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2023-01-11T22:25:06.9120943Z 50	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2023-01-11T22:25:06.9121680Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2023-01-11T22:25:06.9122221Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2023-01-11T22:25:06.9122554Z Program terminated with signal SIGSEGV, Segmentation fault.
2023-01-11T22:25:06.9122845Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:06.9123117Z [Current thread is 1 (Thread 0x7fdd3e553280 (LWP 6227))]
2023-01-11T22:25:06.9151574Z To enable execution of this file add
2023-01-11T22:25:06.9153077Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2023-01-11T22:25:06.9153409Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:06.9153901Z To completely disable this security protection add
2023-01-11T22:25:06.9154399Z 	set auto-load safe-path /
2023-01-11T22:25:06.9154649Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:06.9154924Z For more information about this security protection see the
2023-01-11T22:25:06.9155286Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2023-01-11T22:25:06.9155580Z 	info "(gdb)Auto-loading safe path"
2023-01-11T22:25:06.9155839Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:06.9156123Z #1  0x00007fdd362419bb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2023-01-11T22:25:06.9156481Z    from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so
2023-01-11T22:25:06.9159425Z #2  <signal handler called>
2023-01-11T22:25:06.9160002Z #3  __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65
2023-01-11T22:25:06.9265494Z #4  0x00007fdd3df4c7ed in string_at (size=<optimized out>, ptr=0x0)
2023-01-11T22:25:06.9266352Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5382
2023-01-11T22:25:06.9269192Z #5  string_at (ptr=0x0, size=<optimized out>)
2023-01-11T22:25:06.9269811Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5379
2023-01-11T22:25:06.9270773Z #6  0x00007fdd3df30052 in ffi_call_unix64 ()
2023-01-11T22:25:06.9271364Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:06.9275948Z #7  0x00007fdd3df2e8cd in ffi_call_int ()
2023-01-11T22:25:06.9276524Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:06.9280113Z #8  0x00007fdd3df46593 in _call_function_pointer (argcount=2, 
2023-01-11T22:25:06.9280902Z     resmem=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, restype=<optimized out>, atypes=<optimized out>, 
2023-01-11T22:25:06.9281386Z     avalues=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, pProc=0x7fdd3df4c7d0 <string_at>, flags=4357)
2023-01-11T22:25:06.9281837Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:816
2023-01-11T22:25:06.9282586Z #9  _ctypes_callproc (pProc=0x7fdd3df4c7d0 <string_at>, 
2023-01-11T22:25:06.9283094Z     argtuple=<optimized out>, flags=4357, argtypes=<optimized out>, 
2023-01-11T22:25:06.9283654Z     restype=<optimized out>, checker=0x0)
2023-01-11T22:25:06.9284113Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:1188
2023-01-11T22:25:06.9285463Z #10 0x00007fdd3df45c59 in PyCFuncPtr_call (self=<optimized out>, 
2023-01-11T22:25:06.9285920Z     inargs=<optimized out>, kwds=0x0)
2023-01-11T22:25:06.9286413Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:4025
2023-01-11T22:25:06.9288968Z #11 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:06.9289474Z     callable=0x7fdd3d92f2c0, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:06.9289881Z     kwnames=<optimized out>)
2023-01-11T22:25:06.9290175Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:06.9292179Z #12 0x00000000004ba379 in call_function (pp_stack=0x7ffcd046b628, 
2023-01-11T22:25:06.9292651Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9293133Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:06.9294163Z #13 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9294617Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9295100Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:06.9295489Z #14 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9296056Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9296597Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:06.9304666Z #15 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:06.9305238Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:06.9305635Z     kwnames=<optimized out>, kwargs=0x7fdce1b5e560, kwcount=<optimized out>, 
2023-01-11T22:25:06.9305935Z     kwstep=1, defs=0x7fdd3dd0b7a8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:06.9306204Z     name=0x7fdd3d92dc30, qualname=0x7fdd3d92dc30)
2023-01-11T22:25:06.9306524Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:06.9308109Z #16 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:06.9308463Z     stack=0x7fdce1b5e558, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:06.9308781Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:06.9310862Z #17 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046b8f0, 
2023-01-11T22:25:06.9311226Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9311683Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9312591Z #18 0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9312975Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9313535Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:06.9313935Z #19 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9314607Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9315207Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:06.9315756Z #20 function_code_fastcall (
2023-01-11T22:25:06.9316316Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:06.9317107Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:06.9317824Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:06.9318345Z #21 _PyFunction_FastCallDict (func=<optimized out>, args=0x7ffcd046ba50, 
2023-01-11T22:25:06.9318829Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:06.9319488Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:06.9322326Z #22 0x00000000005155c4 in _PyObject_FastCallDict (kwargs=0x0, nargs=2, 
2023-01-11T22:25:06.9322805Z     args=0x7ffcd046ba50, callable=0x7fdce1b6f3b0)
2023-01-11T22:25:06.9323285Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1536
2023-01-11T22:25:06.9326786Z #23 _PyObject_FastCall_Prepend (nargs=2, args=0x7ffcd046ba48, 
2023-01-11T22:25:06.9327244Z     obj=0x7fdd3d939510, callable=0x7fdce1b6f3b0)
2023-01-11T22:25:06.9327725Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:868
2023-01-11T22:25:06.9330438Z #24 call_unbound (nargs=1, args=0x7ffcd046ba48, self=0x7fdd3d939510, 
2023-01-11T22:25:06.9330886Z     func=0x7fdce1b6f3b0, unbound=1)
2023-01-11T22:25:06.9331336Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1503
2023-01-11T22:25:06.9333761Z #25 call_method (nargs=1, 
2023-01-11T22:25:06.9334311Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=0x7ffcd046ba48, 
2023-01-11T22:25:06.9334939Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, name=0x6d8640 <id>, 
2023-01-11T22:25:06.9335379Z     name@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fdd3d939510, 
2023-01-11T22:25:06.9336065Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:06.9336558Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1535
2023-01-11T22:25:06.9336846Z #26 slot_mp_subscript (self=0x7fdd3d939510, arg1=<optimized out>)
2023-01-11T22:25:06.9337291Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6170
2023-01-11T22:25:06.9337805Z #27 0x00000000004b337f in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9338259Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9338694Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:1313
2023-01-11T22:25:06.9338937Z #28 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9339237Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9339755Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:06.9347227Z #29 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:06.9347808Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:06.9348282Z     kwnames=<optimized out>, kwargs=0x7fdce1dbbe98, kwcount=<optimized out>, 
2023-01-11T22:25:06.9348577Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x7fdce1b727d0, 
2023-01-11T22:25:06.9348825Z     name=0x7fdce44c3af0, qualname=0x7fdce44c1e70)
2023-01-11T22:25:06.9349149Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:06.9350415Z #30 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:06.9350931Z     stack=0x7fdce1dbbe90, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:06.9351380Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:06.9352980Z #31 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046be18, 
2023-01-11T22:25:06.9353313Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9353627Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9355047Z #32 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9355433Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9355805Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:06.9356040Z #33 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9356345Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9356967Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:06.9364856Z #34 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:06.9365375Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:06.9365881Z     kwnames=<optimized out>, kwargs=0x5fc43c0, kwcount=<optimized out>, 
2023-01-11T22:25:06.9381748Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:06.9382095Z     name=0x7fdce452f170, qualname=0x7fdce44cc440)
2023-01-11T22:25:06.9382660Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:06.9383145Z #35 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:06.9383582Z     stack=0x5fc43b0, nargs=2, kwnames=<optimized out>)
2023-01-11T22:25:06.9384140Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:06.9384635Z #36 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046c0e0, 
2023-01-11T22:25:06.9385085Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9385672Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9386131Z #37 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9386533Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9387056Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:06.9387509Z #38 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9388034Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9388994Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:06.9389569Z #39 function_code_fastcall (
2023-01-11T22:25:06.9390117Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:06.9390801Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:06.9391408Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:06.9391695Z #40 _PyFunction_FastCallDict (func=<optimized out>, args=0x7fdd3e0a17f8, 
2023-01-11T22:25:06.9391968Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:06.9392277Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:06.9392643Z #41 0x00000000004b4515 in do_call_core (kwdict=0x7fdce1b4e8c0, 
2023-01-11T22:25:06.9392890Z     callargs=0x7fdd3e0a17e0, func=0x7fdce44ca200)
2023-01-11T22:25:06.9393207Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:06.9393542Z #42 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:06.9393889Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:06.9394150Z #43 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9394615Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fdce1e833b0)
2023-01-11T22:25:06.9395065Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:06.9395395Z #44 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:06.9395756Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:06.9396152Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:06.9396437Z #45 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x5fe6728, 
2023-01-11T22:25:06.9396694Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:06.9396977Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:06.9397265Z #46 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046c470, 
2023-01-11T22:25:06.9397628Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9398140Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9398407Z #47 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9398651Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9398946Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:06.9399183Z #48 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9399496Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x5fe6580)
2023-01-11T22:25:06.9399879Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:06.9400181Z #49 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:06.9400594Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:06.9401128Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:06.9401422Z #50 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x1b38b40, 
2023-01-11T22:25:06.9401665Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:06.9402004Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:06.9402295Z #51 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046c640, 
2023-01-11T22:25:06.9402687Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9403015Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9403296Z #52 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9403717Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9404044Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:06.9404667Z #53 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9405052Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x1b389b0)
2023-01-11T22:25:06.9405580Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:06.9405874Z #54 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:06.9406237Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:06.9406639Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:06.9408501Z #55 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x1b926e0, 
2023-01-11T22:25:06.9408876Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:06.9409179Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:06.9411256Z #56 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046c818, 
2023-01-11T22:25:06.9411548Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9411877Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9412954Z #57 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9413251Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9413700Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:06.9414035Z #58 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9414337Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9414850Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:06.9423010Z #59 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:06.9423640Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:06.9424204Z     kwnames=<optimized out>, kwargs=0x7fdd3e37f7c0, kwcount=<optimized out>, 
2023-01-11T22:25:06.9424844Z     kwstep=1, defs=0x7fdd3e1c6bf8, defcount=2, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:06.9425308Z     name=0x7fdd3e2e0870, qualname=0x7fdd3e2e0870)
2023-01-11T22:25:06.9425663Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:06.9426212Z #60 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:06.9426732Z     stack=0x7fdd3e37f7c0, nargs=0, kwnames=<optimized out>)
2023-01-11T22:25:06.9427189Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:06.9428943Z #61 0x00000000004ba23f in call_function (pp_stack=0x7ffcd046caf0, 
2023-01-11T22:25:06.9429398Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:06.9429885Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:06.9430656Z #62 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:06.9430893Z     throwflag=<optimized out>)
2023-01-11T22:25:06.9431307Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:06.9431601Z #63 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:06.9431902Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9432412Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:06.9441169Z #64 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:06.9441692Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:06.9442015Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:06.9442287Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0)
2023-01-11T22:25:06.9442688Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:06.9447231Z #65 0x00000000004b1209 in PyEval_EvalCodeEx (_co=<optimized out>, 
2023-01-11T22:25:06.9447833Z     globals=<optimized out>, locals=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:06.9448392Z     argcount=<optimized out>, kws=<optimized out>, kwcount=0, defs=0x0, 
2023-01-11T22:25:06.9448673Z     defcount=0, kwdefs=0x0, closure=0x0)
2023-01-11T22:25:06.9448997Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3959
2023-01-11T22:25:06.9451709Z #66 0x000000000054f39b in PyEval_EvalCode (co=co@entry=0x7fdd3e2f9ae0, 
2023-01-11T22:25:06.9452273Z     globals=globals@entry=0x7fdd3e3281e0, locals=locals@entry=0x7fdd3e3281e0)
2023-01-11T22:25:06.9452798Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:524
2023-01-11T22:25:06.9455923Z #67 0x000000000056a263 in run_mod (mod=<optimized out>, 
2023-01-11T22:25:06.9456407Z     filename=<optimized out>, globals=0x7fdd3e3281e0, locals=0x7fdd3e3281e0, 
2023-01-11T22:25:06.9456801Z     flags=<optimized out>, arena=<optimized out>)
2023-01-11T22:25:06.9457134Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:1037
2023-01-11T22:25:06.9460871Z #68 0x000000000056692b in PyRun_StringFlags (str=<optimized out>, start=257, 
2023-01-11T22:25:06.9461219Z     globals=0x7fdd3e3281e0, locals=0x7fdd3e3281e0, flags=0x7ffcd046cd80)
2023-01-11T22:25:06.9461571Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:961
2023-01-11T22:25:06.9474485Z #69 0x000000000056679b in PyRun_SimpleStringFlags (
2023-01-11T22:25:06.9474874Z     command=0x7fdd3e29bdd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=12, pipe_handle=19)\n", flags=0x7ffcd046cd80)
2023-01-11T22:25:06.9475306Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:455
2023-01-11T22:25:06.9477258Z #70 0x0000000000544967 in pymain_run_command (cf=0x7ffcd046cd80, 
2023-01-11T22:25:06.9477586Z     cf@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:06.9478176Z     command=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Modules/main.c:428
2023-01-11T22:25:06.9478988Z #71 pymain_run_python (pymain=0x7ffcd046ce90)
2023-01-11T22:25:06.9479469Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:2964
2023-01-11T22:25:06.9479985Z #72 pymain_main (pymain=0x7ffcd046ce90)
2023-01-11T22:25:06.9480313Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3517
2023-01-11T22:25:06.9599508Z #73 0x000000000054487c in _Py_UnixMain (argc=<optimized out>, 
2023-01-11T22:25:06.9599935Z     argv=<optimized out>)
2023-01-11T22:25:06.9600417Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3552
2023-01-11T22:25:06.9603507Z #74 0x00007fdd3e578083 in __libc_start_main (main=0x544830 <main>, argc=5, 
2023-01-11T22:25:06.9603949Z     argv=0x7ffcd046cff8, init=<optimized out>, fini=<optimized out>, 
2023-01-11T22:25:06.9604474Z     rtld_fini=<optimized out>, stack_end=0x7ffcd046cfe8)
2023-01-11T22:25:06.9604836Z     at ../csu/libc-start.c:308
2023-01-11T22:25:06.9605020Z #75 0x000000000054472e in _start ()
2023-01-11T22:25:06.9605346Z     at /usr/local/src/conda/python-3.7.15/Modules/itertoolsmodule.c:2515
2023-01-11T22:25:07.1100380Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2
2023-01-11T22:25:07.1100793Z Copyright (C) 2020 Free Software Foundation, Inc.
2023-01-11T22:25:07.1101360Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2023-01-11T22:25:07.1101857Z This is free software: you are free to change and redistribute it.
2023-01-11T22:25:07.1102225Z There is NO WARRANTY, to the extent permitted by law.
2023-01-11T22:25:07.1102472Z Type "show copying" and "show warranty" for details.
2023-01-11T22:25:07.1102788Z This GDB was configured as "x86_64-linux-gnu".
2023-01-11T22:25:07.1103041Z Type "show configuration" for configuration details.
2023-01-11T22:25:07.1103281Z For bug reporting instructions, please see:
2023-01-11T22:25:07.1103523Z <http://www.gnu.org/software/gdb/bugs/>.
2023-01-11T22:25:07.1103787Z Find the GDB manual and other documentation resources online at:
2023-01-11T22:25:07.1104061Z     <http://www.gnu.org/software/gdb/documentation/>.
2023-01-11T22:25:07.1104214Z 
2023-01-11T22:25:07.1104294Z For help, type "help".
2023-01-11T22:25:07.1104535Z Type "apropos word" to search for commands related to "word"...
2023-01-11T22:25:07.1591702Z Reading symbols from python...
2023-01-11T22:25:07.4980465Z 
2023-01-11T22:25:07.4980821Z warning: core file may not match specified executable file.
2023-01-11T22:25:07.5705860Z [New LWP 7369]
2023-01-11T22:25:07.5706109Z [New LWP 7383]
2023-01-11T22:25:07.5706366Z [New LWP 7385]
2023-01-11T22:25:07.5706533Z [New LWP 7384]
2023-01-11T22:25:07.5706904Z [New LWP 7388]
2023-01-11T22:25:07.5707067Z [New LWP 7387]
2023-01-11T22:25:07.5707229Z [New LWP 7386]
2023-01-11T22:25:07.5707384Z [New LWP 7389]
2023-01-11T22:25:07.5791538Z [Thread debugging using libthread_db enabled]
2023-01-11T22:25:07.5791984Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2023-01-11T22:25:11.2233460Z 50	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2023-01-11T22:25:11.2234284Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2023-01-11T22:25:11.2234880Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2023-01-11T22:25:11.2235220Z Program terminated with signal SIGSEGV, Segmentation fault.
2023-01-11T22:25:11.2235497Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:11.2235774Z [Current thread is 1 (Thread 0x7f79f032b280 (LWP 7369))]
2023-01-11T22:25:11.2263719Z To enable execution of this file add
2023-01-11T22:25:11.2264294Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2023-01-11T22:25:11.2264797Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:11.2265148Z To completely disable this security protection add
2023-01-11T22:25:11.2265486Z 	set auto-load safe-path /
2023-01-11T22:25:11.2265954Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:11.2266234Z For more information about this security protection see the
2023-01-11T22:25:11.2266591Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2023-01-11T22:25:11.2266876Z 	info "(gdb)Auto-loading safe path"
2023-01-11T22:25:11.2267135Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:11.2267420Z #1  0x00007f79e80199bb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2023-01-11T22:25:11.2267778Z    from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so
2023-01-11T22:25:11.2271323Z #2  <signal handler called>
2023-01-11T22:25:11.2271655Z #3  __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65
2023-01-11T22:25:11.2376004Z #4  0x00007f79efd247ed in string_at (size=<optimized out>, ptr=0x0)
2023-01-11T22:25:11.2376381Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5382
2023-01-11T22:25:11.2379858Z #5  string_at (ptr=0x0, size=<optimized out>)
2023-01-11T22:25:11.2380199Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5379
2023-01-11T22:25:11.2381656Z #6  0x00007f79efd08052 in ffi_call_unix64 ()
2023-01-11T22:25:11.2381952Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:11.2387296Z #7  0x00007f79efd068cd in ffi_call_int ()
2023-01-11T22:25:11.2387630Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:11.2391730Z #8  0x00007f79efd1e593 in _call_function_pointer (argcount=2, 
2023-01-11T22:25:11.2392179Z     resmem=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, restype=<optimized out>, atypes=<optimized out>, 
2023-01-11T22:25:11.2392628Z     avalues=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, pProc=0x7f79efd247d0 <string_at>, flags=4357)
2023-01-11T22:25:11.2393063Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:816
2023-01-11T22:25:11.2395068Z #9  _ctypes_callproc (pProc=0x7f79efd247d0 <string_at>, 
2023-01-11T22:25:11.2395403Z     argtuple=<optimized out>, flags=4357, argtypes=<optimized out>, 
2023-01-11T22:25:11.2395657Z     restype=<optimized out>, checker=0x0)
2023-01-11T22:25:11.2396001Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:1188
2023-01-11T22:25:11.2398111Z #10 0x00007f79efd1dc59 in PyCFuncPtr_call (self=<optimized out>, 
2023-01-11T22:25:11.2398479Z     inargs=<optimized out>, kwds=0x0)
2023-01-11T22:25:11.2398818Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:4025
2023-01-11T22:25:11.2401748Z #11 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:11.2402197Z     callable=0x7f79ef7072c0, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:11.2402651Z     kwnames=<optimized out>)
2023-01-11T22:25:11.2402997Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:11.2406124Z #12 0x00000000004ba379 in call_function (pp_stack=0x7fff992618f8, 
2023-01-11T22:25:11.2406438Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2406829Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:11.2407745Z #13 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2408081Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2408508Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:11.2408757Z #14 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2409045Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2409571Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:11.2418394Z #15 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:11.2418871Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:11.2419308Z     kwnames=<optimized out>, kwargs=0x7f79939353a0, kwcount=<optimized out>, 
2023-01-11T22:25:11.2419605Z     kwstep=1, defs=0x7f79efae37e8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:11.2419869Z     name=0x7f79ef706c30, qualname=0x7f79ef706c30)
2023-01-11T22:25:11.2420179Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:11.2421717Z #16 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:11.2422055Z     stack=0x7f7993935398, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:11.2422382Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:11.2424264Z #17 0x00000000004ba23f in call_function (pp_stack=0x7fff99261bc0, 
2023-01-11T22:25:11.2424673Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2425024Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2425995Z #18 0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2426348Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2426797Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:11.2427046Z #19 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2427336Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2427895Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:11.2428537Z #20 function_code_fastcall (
2023-01-11T22:25:11.2429033Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:11.2429775Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:11.2430217Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:11.2430986Z #21 _PyFunction_FastCallDict (func=<optimized out>, args=0x7fff99261d20, 
2023-01-11T22:25:11.2431477Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:11.2431941Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:11.2435914Z #22 0x00000000005155c4 in _PyObject_FastCallDict (kwargs=0x0, nargs=2, 
2023-01-11T22:25:11.2436363Z     args=0x7fff99261d20, callable=0x7f79939473b0)
2023-01-11T22:25:11.2436898Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1536
2023-01-11T22:25:11.2439680Z #23 _PyObject_FastCall_Prepend (nargs=2, args=0x7fff99261d18, 
2023-01-11T22:25:11.2440136Z     obj=0x7f79ef711510, callable=0x7f79939473b0)
2023-01-11T22:25:11.2440588Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:868
2023-01-11T22:25:11.2443697Z #24 call_unbound (nargs=1, args=0x7fff99261d18, self=0x7f79ef711510, 
2023-01-11T22:25:11.2444132Z     func=0x7f79939473b0, unbound=1)
2023-01-11T22:25:11.2444566Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1503
2023-01-11T22:25:11.2447026Z #25 call_method (nargs=1, 
2023-01-11T22:25:11.2447535Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=0x7fff99261d18, 
2023-01-11T22:25:11.2448164Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, name=0x6d8640 <id>, 
2023-01-11T22:25:11.2448585Z     name@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7f79ef711510, 
2023-01-11T22:25:11.2449206Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:11.2449870Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1535
2023-01-11T22:25:11.2450153Z #26 slot_mp_subscript (self=0x7f79ef711510, arg1=<optimized out>)
2023-01-11T22:25:11.2450627Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6170
2023-01-11T22:25:11.2451223Z #27 0x00000000004b337f in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2451681Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2452198Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:1313
2023-01-11T22:25:11.2452593Z #28 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2453140Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2453718Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:11.2461268Z #29 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:11.2461975Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:11.2462512Z     kwnames=<optimized out>, kwargs=0x7f7993b93e98, kwcount=<optimized out>, 
2023-01-11T22:25:11.2463040Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x7f799394a690, 
2023-01-11T22:25:11.2463465Z     name=0x7f799629ba70, qualname=0x7f7996299e70)
2023-01-11T22:25:11.2463774Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:11.2464517Z #30 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:11.2465040Z     stack=0x7f7993b93e90, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:11.2465469Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:11.2467638Z #31 0x00000000004ba23f in call_function (pp_stack=0x7fff992620e8, 
2023-01-11T22:25:11.2467956Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2468286Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2469960Z #32 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2470422Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2471051Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:11.2471352Z #33 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2471655Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2472185Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:11.2480425Z #34 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:11.2480971Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:11.2481565Z     kwnames=<optimized out>, kwargs=0x617d7a0, kwcount=<optimized out>, 
2023-01-11T22:25:11.2481842Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:11.2482085Z     name=0x7f7996307170, qualname=0x7f79962a32b0)
2023-01-11T22:25:11.2482397Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:11.2483960Z #35 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:11.2484473Z     stack=0x617d790, nargs=2, kwnames=<optimized out>)
2023-01-11T22:25:11.2484916Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:11.2486526Z #36 0x00000000004ba23f in call_function (pp_stack=0x7fff992623b0, 
2023-01-11T22:25:11.2486816Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2487149Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2488198Z #37 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2488628Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2489138Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:11.2489622Z #38 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2490011Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2490994Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:11.2491526Z #39 function_code_fastcall (
2023-01-11T22:25:11.2491838Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:11.2492432Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:11.2493059Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:11.2493593Z #40 _PyFunction_FastCallDict (func=<optimized out>, args=0x7f79efe797f8, 
2023-01-11T22:25:11.2493993Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:11.2494306Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:11.2497328Z #41 0x00000000004b4515 in do_call_core (kwdict=0x7f7993925640, 
2023-01-11T22:25:11.2497738Z     callargs=0x7f79efe797e0, func=0x7f79962a2200)
2023-01-11T22:25:11.2498281Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:11.2498808Z #42 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:11.2499170Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:11.2500013Z #43 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2500547Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7f7993c593b0)
2023-01-11T22:25:11.2501249Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:11.2501751Z #44 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:11.2502110Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:11.2502520Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:11.2504045Z #45 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x619fb08, 
2023-01-11T22:25:11.2504529Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:11.2504975Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:11.2506646Z #46 0x00000000004ba23f in call_function (pp_stack=0x7fff99262740, 
2023-01-11T22:25:11.2507126Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2507547Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2508228Z #47 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2508679Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2509180Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:11.2509889Z #48 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2510468Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x619f960)
2023-01-11T22:25:11.2510997Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:11.2511507Z #49 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:11.2511970Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:11.2512374Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:11.2514176Z #50 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x1cf1b40, 
2023-01-11T22:25:11.2514709Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:11.2515120Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:11.2516787Z #51 0x00000000004ba23f in call_function (pp_stack=0x7fff99262910, 
2023-01-11T22:25:11.2517258Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2517738Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2518396Z #52 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2518840Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2519356Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:11.2520147Z #53 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2520714Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x1cf19b0)
2023-01-11T22:25:11.2521205Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:11.2521606Z #54 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:11.2522205Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:11.2522615Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:11.2524144Z #55 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x1d4b6e0, 
2023-01-11T22:25:11.2524602Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:11.2525049Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:11.2526916Z #56 0x00000000004ba23f in call_function (pp_stack=0x7fff99262ae8, 
2023-01-11T22:25:11.2527400Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2527823Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2528422Z #57 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2528840Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2529370Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:11.2529763Z #58 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2530068Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2530584Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:11.2538442Z #59 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:11.2538816Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:11.2539121Z     kwnames=<optimized out>, kwargs=0x7f79f01577c0, kwcount=<optimized out>, 
2023-01-11T22:25:11.2539397Z     kwstep=1, defs=0x7f79eff9eb08, defcount=2, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:11.2539651Z     name=0x7f79f00b88b0, qualname=0x7f79f00b88b0)
2023-01-11T22:25:11.2539967Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:11.2541895Z #60 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:11.2542544Z     stack=0x7f79f01577c0, nargs=0, kwnames=<optimized out>)
2023-01-11T22:25:11.2542991Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:11.2544616Z #61 0x00000000004ba23f in call_function (pp_stack=0x7fff99262dc0, 
2023-01-11T22:25:11.2544897Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:11.2545213Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:11.2546564Z #62 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:11.2546825Z     throwflag=<optimized out>)
2023-01-11T22:25:11.2547117Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:11.2547954Z #63 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:11.2548300Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2548825Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:11.2556677Z #64 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:11.2556999Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:11.2557297Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:11.2557578Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0)
2023-01-11T22:25:11.2557996Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:11.2562812Z #65 0x00000000004b1209 in PyEval_EvalCodeEx (_co=<optimized out>, 
2023-01-11T22:25:11.2563120Z     globals=<optimized out>, locals=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:11.2563535Z     argcount=<optimized out>, kws=<optimized out>, kwcount=0, defs=0x0, 
2023-01-11T22:25:11.2563792Z     defcount=0, kwdefs=0x0, closure=0x0)
2023-01-11T22:25:11.2564113Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3959
2023-01-11T22:25:11.2567230Z #66 0x000000000054f39b in PyEval_EvalCode (co=co@entry=0x7f79f00d1ae0, 
2023-01-11T22:25:11.2567653Z     globals=globals@entry=0x7f79f01001e0, locals=locals@entry=0x7f79f01001e0)
2023-01-11T22:25:11.2568015Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:524
2023-01-11T22:25:11.2571673Z #67 0x000000000056a263 in run_mod (mod=<optimized out>, 
2023-01-11T22:25:11.2571985Z     filename=<optimized out>, globals=0x7f79f01001e0, locals=0x7f79f01001e0, 
2023-01-11T22:25:11.2572257Z     flags=<optimized out>, arena=<optimized out>)
2023-01-11T22:25:11.2572592Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:1037
2023-01-11T22:25:11.2576704Z #68 0x000000000056692b in PyRun_StringFlags (str=<optimized out>, start=257, 
2023-01-11T22:25:11.2577011Z     globals=0x7f79f01001e0, locals=0x7f79f01001e0, flags=0x7fff99263050)
2023-01-11T22:25:11.2577357Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:961
2023-01-11T22:25:11.2586801Z #69 0x000000000056679b in PyRun_SimpleStringFlags (
2023-01-11T22:25:11.2587223Z     command=0x7f79f0073dd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=12, pipe_handle=19)\n", flags=0x7fff99263050)
2023-01-11T22:25:11.2587632Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:455
2023-01-11T22:25:11.2589650Z #70 0x0000000000544967 in pymain_run_command (cf=0x7fff99263050, 
2023-01-11T22:25:11.2590032Z     cf@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:11.2590627Z     command=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Modules/main.c:428
2023-01-11T22:25:11.2591382Z #71 pymain_run_python (pymain=0x7fff99263160)
2023-01-11T22:25:11.2591914Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:2964
2023-01-11T22:25:11.2592491Z #72 pymain_main (pymain=0x7fff99263160)
2023-01-11T22:25:11.2593075Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3517
2023-01-11T22:25:11.2711298Z #73 0x000000000054487c in _Py_UnixMain (argc=<optimized out>, 
2023-01-11T22:25:11.2711688Z     argv=<optimized out>)
2023-01-11T22:25:11.2712232Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3552
2023-01-11T22:25:11.2715418Z #74 0x00007f79f0350083 in __libc_start_main (main=0x544830 <main>, argc=5, 
2023-01-11T22:25:11.2715870Z     argv=0x7fff992632c8, init=<optimized out>, fini=<optimized out>, 
2023-01-11T22:25:11.2716375Z     rtld_fini=<optimized out>, stack_end=0x7fff992632b8)
2023-01-11T22:25:11.2716864Z     at ../csu/libc-start.c:308
2023-01-11T22:25:11.2717199Z #75 0x000000000054472e in _start ()
2023-01-11T22:25:11.2717750Z     at /usr/local/src/conda/python-3.7.15/Modules/itertoolsmodule.c:2515
2023-01-11T22:25:11.4294471Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2
2023-01-11T22:25:11.4294888Z Copyright (C) 2020 Free Software Foundation, Inc.
2023-01-11T22:25:11.4295190Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2023-01-11T22:25:11.4295534Z This is free software: you are free to change and redistribute it.
2023-01-11T22:25:11.4295811Z There is NO WARRANTY, to the extent permitted by law.
2023-01-11T22:25:11.4296058Z Type "show copying" and "show warranty" for details.
2023-01-11T22:25:11.4296362Z This GDB was configured as "x86_64-linux-gnu".
2023-01-11T22:25:11.4296616Z Type "show configuration" for configuration details.
2023-01-11T22:25:11.4296856Z For bug reporting instructions, please see:
2023-01-11T22:25:11.4297275Z <http://www.gnu.org/software/gdb/bugs/>.
2023-01-11T22:25:11.4297546Z Find the GDB manual and other documentation resources online at:
2023-01-11T22:25:11.4297824Z     <http://www.gnu.org/software/gdb/documentation/>.
2023-01-11T22:25:11.4297966Z 
2023-01-11T22:25:11.4298046Z For help, type "help".
2023-01-11T22:25:11.4298288Z Type "apropos word" to search for commands related to "word"...
2023-01-11T22:25:11.4778867Z Reading symbols from python...
2023-01-11T22:25:11.8118080Z 
2023-01-11T22:25:11.8118496Z warning: core file may not match specified executable file.
2023-01-11T22:25:11.8810410Z [New LWP 7368]
2023-01-11T22:25:11.8810693Z [New LWP 7377]
2023-01-11T22:25:11.8810969Z [New LWP 7378]
2023-01-11T22:25:11.8811287Z [New LWP 7376]
2023-01-11T22:25:11.8811572Z [New LWP 7380]
2023-01-11T22:25:11.8811728Z [New LWP 7381]
2023-01-11T22:25:11.8811892Z [New LWP 7382]
2023-01-11T22:25:11.8812054Z [New LWP 7379]
2023-01-11T22:25:11.8902601Z [Thread debugging using libthread_db enabled]
2023-01-11T22:25:11.8903074Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2023-01-11T22:25:15.5139649Z 50	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2023-01-11T22:25:15.5140466Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2023-01-11T22:25:15.5140995Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2023-01-11T22:25:15.5141339Z Program terminated with signal SIGSEGV, Segmentation fault.
2023-01-11T22:25:15.5141638Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:15.5141910Z [Current thread is 1 (Thread 0x7fdbc22b0280 (LWP 7368))]
2023-01-11T22:25:15.5169683Z To enable execution of this file add
2023-01-11T22:25:15.5170273Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2023-01-11T22:25:15.5170803Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:15.5171161Z To completely disable this security protection add
2023-01-11T22:25:15.5171511Z 	set auto-load safe-path /
2023-01-11T22:25:15.5171943Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:15.5172408Z For more information about this security protection see the
2023-01-11T22:25:15.5172756Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2023-01-11T22:25:15.5173055Z 	info "(gdb)Auto-loading safe path"
2023-01-11T22:25:15.5173314Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:50
2023-01-11T22:25:15.5173818Z #1  0x00007fdbb9cd19bb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2023-01-11T22:25:15.5174188Z    from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so
2023-01-11T22:25:15.5177210Z #2  <signal handler called>
2023-01-11T22:25:15.5177794Z #3  __strlen_avx2 () at ../sysdeps/x86_64/multiarch/strlen-avx2.S:65
2023-01-11T22:25:15.5284467Z #4  0x00007fdbc1ca97ed in string_at (size=<optimized out>, ptr=0x0)
2023-01-11T22:25:15.5284860Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5382
2023-01-11T22:25:15.5288772Z #5  string_at (ptr=0x0, size=<optimized out>)
2023-01-11T22:25:15.5289166Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:5379
2023-01-11T22:25:15.5290409Z #6  0x00007fdbc1c8d052 in ffi_call_unix64 ()
2023-01-11T22:25:15.5290784Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:15.5295680Z #7  0x00007fdbc1c8b8cd in ffi_call_int ()
2023-01-11T22:25:15.5296039Z    from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.8
2023-01-11T22:25:15.5299965Z #8  0x00007fdbc1ca3593 in _call_function_pointer (argcount=2, 
2023-01-11T22:25:15.5300449Z     resmem=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, restype=<optimized out>, atypes=<optimized out>, 
2023-01-11T22:25:15.5301080Z     avalues=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, pProc=0x7fdbc1ca97d0 <string_at>, flags=4357)
2023-01-11T22:25:15.5301516Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:816
2023-01-11T22:25:15.5302283Z #9  _ctypes_callproc (pProc=0x7fdbc1ca97d0 <string_at>, 
2023-01-11T22:25:15.5302758Z     argtuple=<optimized out>, flags=4357, argtypes=<optimized out>, 
2023-01-11T22:25:15.5303233Z     restype=<optimized out>, checker=0x0)
2023-01-11T22:25:15.5303567Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/callproc.c:1188
2023-01-11T22:25:15.5305049Z #10 0x00007fdbc1ca2c59 in PyCFuncPtr_call (self=<optimized out>, 
2023-01-11T22:25:15.5305310Z     inargs=<optimized out>, kwds=0x0)
2023-01-11T22:25:15.5305633Z     at /usr/local/src/conda/python-3.7.15/Modules/_ctypes/_ctypes.c:4025
2023-01-11T22:25:15.5308247Z #11 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:15.5308594Z     callable=0x7fdbc168c2c0, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:15.5308852Z     kwnames=<optimized out>)
2023-01-11T22:25:15.5309143Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:15.5311241Z #12 0x00000000004ba379 in call_function (pp_stack=0x7ffc9d54cda8, 
2023-01-11T22:25:15.5311584Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5311901Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:15.5313299Z #13 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5313549Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5314016Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:15.5314403Z #14 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5314712Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5315240Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:15.5323781Z #15 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:15.5324102Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:15.5324402Z     kwnames=<optimized out>, kwargs=0x7fdb658b9560, kwcount=<optimized out>, 
2023-01-11T22:25:15.5324694Z     kwstep=1, defs=0x7fdbc196b768, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:15.5324943Z     name=0x7fdbc168bbb0, qualname=0x7fdbc168bbb0)
2023-01-11T22:25:15.5325280Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:15.5326766Z #16 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:15.5327060Z     stack=0x7fdb658b9558, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:15.5327376Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:15.5329391Z #17 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54d070, 
2023-01-11T22:25:15.5329688Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5330049Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5331241Z #18 0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5331660Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5332201Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:15.5332633Z #19 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5332996Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5333604Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:15.5334326Z #20 function_code_fastcall (
2023-01-11T22:25:15.5334929Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:15.5335651Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:15.5336078Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:15.5336628Z #21 _PyFunction_FastCallDict (func=<optimized out>, args=0x7ffc9d54d1d0, 
2023-01-11T22:25:15.5336926Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:15.5337247Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:15.5341288Z #22 0x00000000005155c4 in _PyObject_FastCallDict (kwargs=0x0, nargs=2, 
2023-01-11T22:25:15.5341566Z     args=0x7ffc9d54d1d0, callable=0x7fdb658cd3b0)
2023-01-11T22:25:15.5341890Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1536
2023-01-11T22:25:15.5344837Z #23 _PyObject_FastCall_Prepend (nargs=2, args=0x7ffc9d54d1c8, 
2023-01-11T22:25:15.5345151Z     obj=0x7fdbc1696490, callable=0x7fdb658cd3b0)
2023-01-11T22:25:15.5345452Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:868
2023-01-11T22:25:15.5348542Z #24 call_unbound (nargs=1, args=0x7ffc9d54d1c8, self=0x7fdbc1696490, 
2023-01-11T22:25:15.5348869Z     func=0x7fdb658cd3b0, unbound=1)
2023-01-11T22:25:15.5349189Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1503
2023-01-11T22:25:15.5351837Z #25 call_method (nargs=1, 
2023-01-11T22:25:15.5352263Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=0x7ffc9d54d1c8, 
2023-01-11T22:25:15.5352676Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, name=0x6d8640 <id>, 
2023-01-11T22:25:15.5353084Z     name@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fdbc1696490, 
2023-01-11T22:25:15.5353470Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:15.5353912Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1535
2023-01-11T22:25:15.5354530Z #26 slot_mp_subscript (self=0x7fdbc1696490, arg1=<optimized out>)
2023-01-11T22:25:15.5355034Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6170
2023-01-11T22:25:15.5355837Z #27 0x00000000004b337f in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5356285Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5356791Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:1313
2023-01-11T22:25:15.5357032Z #28 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5357394Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5358008Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:15.5366209Z #29 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:15.5366618Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:15.5367204Z     kwnames=<optimized out>, kwargs=0x7fdb65b18e98, kwcount=<optimized out>, 
2023-01-11T22:25:15.5367596Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x7fdb658d0cd0, 
2023-01-11T22:25:15.5367859Z     name=0x7fdb68226bf0, qualname=0x7fdb6821fe10)
2023-01-11T22:25:15.5368168Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:15.5369541Z #30 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:15.5370088Z     stack=0x7fdb65b18e90, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:15.5370477Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:15.5372046Z #31 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54d598, 
2023-01-11T22:25:15.5372526Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5373008Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5373832Z #32 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5374415Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5374976Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:15.5375351Z #33 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5375656Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5376179Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:15.5384131Z #34 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:15.5384486Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:15.5384791Z     kwnames=<optimized out>, kwargs=0x69663f0, kwcount=<optimized out>, 
2023-01-11T22:25:15.5385068Z     kwstep=1, defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:15.5385315Z     name=0x7fdb6828c2b0, qualname=0x7fdb68229490)
2023-01-11T22:25:15.5385637Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:15.5387281Z #35 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:15.5387589Z     stack=0x69663e0, nargs=2, kwnames=<optimized out>)
2023-01-11T22:25:15.5387906Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:15.5389964Z #36 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54d860, 
2023-01-11T22:25:15.5390315Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5390657Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5391803Z #37 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5392097Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5392548Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:15.5392801Z #38 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5393173Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5393853Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:15.5394698Z #39 function_code_fastcall (
2023-01-11T22:25:15.5395304Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:15.5396078Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:15.5397082Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:15.5397551Z #40 _PyFunction_FastCallDict (func=<optimized out>, args=0x7fdbc1dfe7f8, 
2023-01-11T22:25:15.5398038Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:15.5398595Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:15.5402173Z #41 0x00000000004b4515 in do_call_core (kwdict=0x7fdb658ab370, 
2023-01-11T22:25:15.5402600Z     callargs=0x7fdbc1dfe7e0, func=0x7fdb68225200)
2023-01-11T22:25:15.5403156Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:15.5403890Z #42 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:15.5404480Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:15.5405019Z #43 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5405522Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fdb65be03b0)
2023-01-11T22:25:15.5406050Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:15.5406376Z #44 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:15.5406742Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:15.5407240Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:15.5409432Z #45 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x6988758, 
2023-01-11T22:25:15.5409746Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:15.5410051Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:15.5412123Z #46 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54dbf0, 
2023-01-11T22:25:15.5412470Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5412813Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5414186Z #47 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5414439Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5414746Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:15.5415920Z #48 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5416343Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x69885b0)
2023-01-11T22:25:15.5416764Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:15.5417117Z #49 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:15.5417467Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:15.5417877Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:15.5419967Z #50 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x24dab40, 
2023-01-11T22:25:15.5420316Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:15.5420608Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:15.5422776Z #51 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54ddc0, 
2023-01-11T22:25:15.5423129Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5423453Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5424635Z #52 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5424995Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5425302Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:15.5426566Z #53 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5427072Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x24da9b0)
2023-01-11T22:25:15.5427662Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:15.5428045Z #54 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:15.5428394Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:15.5428803Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:15.5430544Z #55 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x25346e0, 
2023-01-11T22:25:15.5430795Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:15.5431103Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:15.5432966Z #56 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54df98, 
2023-01-11T22:25:15.5433229Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5433543Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5434689Z #57 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5434998Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5435375Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:15.5435669Z #58 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5435973Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5436564Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:15.5445447Z #59 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:15.5446058Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:15.5446482Z     kwnames=<optimized out>, kwargs=0x7fdbc20dc7c0, kwcount=<optimized out>, 
2023-01-11T22:25:15.5446780Z     kwstep=1, defs=0x7fdbc1f23b58, defcount=2, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:15.5447029Z     name=0x7fdbc203d8b0, qualname=0x7fdbc203d8b0)
2023-01-11T22:25:15.5447396Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:15.5448676Z #60 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:15.5449184Z     stack=0x7fdbc20dc7c0, nargs=0, kwnames=<optimized out>)
2023-01-11T22:25:15.5449645Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:15.5451211Z #61 0x00000000004ba23f in call_function (pp_stack=0x7ffc9d54e270, 
2023-01-11T22:25:15.5451521Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:15.5451870Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:15.5452848Z #62 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:15.5453229Z     throwflag=<optimized out>)
2023-01-11T22:25:15.5453560Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:15.5453807Z #63 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:15.5454117Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5454638Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:15.5462329Z #64 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:15.5462677Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:15.5462986Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:15.5463277Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0)
2023-01-11T22:25:15.5463601Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:15.5468233Z #65 0x00000000004b1209 in PyEval_EvalCodeEx (_co=<optimized out>, 
2023-01-11T22:25:15.5468570Z     globals=<optimized out>, locals=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:15.5469003Z     argcount=<optimized out>, kws=<optimized out>, kwcount=0, defs=0x0, 
2023-01-11T22:25:15.5469260Z     defcount=0, kwdefs=0x0, closure=0x0)
2023-01-11T22:25:15.5469576Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3959
2023-01-11T22:25:15.5472647Z #66 0x000000000054f39b in PyEval_EvalCode (co=co@entry=0x7fdbc2056ae0, 
2023-01-11T22:25:15.5472964Z     globals=globals@entry=0x7fdbc20851e0, locals=locals@entry=0x7fdbc20851e0)
2023-01-11T22:25:15.5473368Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:524
2023-01-11T22:25:15.5476812Z #67 0x000000000056a263 in run_mod (mod=<optimized out>, 
2023-01-11T22:25:15.5477170Z     filename=<optimized out>, globals=0x7fdbc20851e0, locals=0x7fdbc20851e0, 
2023-01-11T22:25:15.5477435Z     flags=<optimized out>, arena=<optimized out>)
2023-01-11T22:25:15.5477783Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:1037
2023-01-11T22:25:15.5481870Z #68 0x000000000056692b in PyRun_StringFlags (str=<optimized out>, start=257, 
2023-01-11T22:25:15.5482210Z     globals=0x7fdbc20851e0, locals=0x7fdbc20851e0, flags=0x7ffc9d54e500)
2023-01-11T22:25:15.5482566Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:961
2023-01-11T22:25:15.5497227Z #69 0x000000000056679b in PyRun_SimpleStringFlags (
2023-01-11T22:25:15.5497655Z     command=0x7fdbc1ff8dd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=12, pipe_handle=16)\n", flags=0x7ffc9d54e500)
2023-01-11T22:25:15.5498199Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:455
2023-01-11T22:25:15.5500058Z #70 0x0000000000544967 in pymain_run_command (cf=0x7ffc9d54e500, 
2023-01-11T22:25:15.5500571Z     cf@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:15.5501328Z     command=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Modules/main.c:428
2023-01-11T22:25:15.5501667Z #71 pymain_run_python (pymain=0x7ffc9d54e610)
2023-01-11T22:25:15.5502039Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:2964
2023-01-11T22:25:15.5502630Z #72 pymain_main (pymain=0x7ffc9d54e610)
2023-01-11T22:25:15.5502992Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3517
2023-01-11T22:25:15.5621017Z #73 0x000000000054487c in _Py_UnixMain (argc=<optimized out>, 
2023-01-11T22:25:15.5621324Z     argv=<optimized out>)
2023-01-11T22:25:15.5621626Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3552
2023-01-11T22:25:15.5625261Z #74 0x00007fdbc22d5083 in __libc_start_main (main=0x544830 <main>, argc=5, 
2023-01-11T22:25:15.5625673Z     argv=0x7ffc9d54e778, init=<optimized out>, fini=<optimized out>, 
2023-01-11T22:25:15.5625978Z     rtld_fini=<optimized out>, stack_end=0x7ffc9d54e768)
2023-01-11T22:25:15.5626284Z     at ../csu/libc-start.c:308
2023-01-11T22:25:15.5626469Z #75 0x000000000054472e in _start ()
2023-01-11T22:25:15.5626788Z     at /usr/local/src/conda/python-3.7.15/Modules/itertoolsmodule.c:2515
2023-01-11T22:25:15.7177950Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2
2023-01-11T22:25:15.7178404Z Copyright (C) 2020 Free Software Foundation, Inc.
2023-01-11T22:25:15.7178965Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2023-01-11T22:25:15.7179558Z This is free software: you are free to change and redistribute it.
2023-01-11T22:25:15.7180055Z There is NO WARRANTY, to the extent permitted by law.
2023-01-11T22:25:15.7180335Z Type "show copying" and "show warranty" for details.
2023-01-11T22:25:15.7180662Z This GDB was configured as "x86_64-linux-gnu".
2023-01-11T22:25:15.7180916Z Type "show configuration" for configuration details.
2023-01-11T22:25:15.7181155Z For bug reporting instructions, please see:
2023-01-11T22:25:15.7181393Z <http://www.gnu.org/software/gdb/bugs/>.
2023-01-11T22:25:15.7181656Z Find the GDB manual and other documentation resources online at:
2023-01-11T22:25:15.7181922Z     <http://www.gnu.org/software/gdb/documentation/>.
2023-01-11T22:25:15.7182075Z 
2023-01-11T22:25:15.7182368Z For help, type "help".
2023-01-11T22:25:15.7182610Z Type "apropos word" to search for commands related to "word"...
2023-01-11T22:25:15.7661719Z Reading symbols from python...
2023-01-11T22:25:16.0904241Z 
2023-01-11T22:25:16.0904687Z warning: core file may not match specified executable file.
2023-01-11T22:25:16.1223159Z [New LWP 16450]
2023-01-11T22:25:16.1248934Z [Thread debugging using libthread_db enabled]
2023-01-11T22:25:16.1249480Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2023-01-11T22:25:20.1774147Z 78	../sysdeps/unix/syscall-template.S: No such file or directory.
2023-01-11T22:25:20.1774711Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2023-01-11T22:25:20.1775216Z Core was generated by `/opt/conda/bin/python -bb test_multiprocessing_spawn.py -v --import-slow-tests'.
2023-01-11T22:25:20.1775539Z Program terminated with signal SIGABRT, Aborted.
2023-01-11T22:25:20.1775899Z #0  0x00007fc465f423db in kill () at ../sysdeps/unix/syscall-template.S:78
2023-01-11T22:25:20.1809256Z To enable execution of this file add
2023-01-11T22:25:20.1809839Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2023-01-11T22:25:20.1810304Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:20.1810574Z To completely disable this security protection add
2023-01-11T22:25:20.1810826Z 	set auto-load safe-path /
2023-01-11T22:25:20.1811234Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:20.1811512Z For more information about this security protection see the
2023-01-11T22:25:20.1811855Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2023-01-11T22:25:20.1812155Z 	info "(gdb)Auto-loading safe path"
2023-01-11T22:25:20.1812486Z #0  0x00007fc465f423db in kill () at ../sysdeps/unix/syscall-template.S:78
2023-01-11T22:25:20.1833725Z #1  0x000000000057e4e4 in os_kill_impl (module=<optimized out>, 
2023-01-11T22:25:20.1834382Z     module@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1834889Z     signal=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1835255Z     pid=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:20.1835671Z     at /usr/local/src/conda/python-3.7.15/Modules/posixmodule.c:6588
2023-01-11T22:25:20.1835946Z #2  os_kill (module=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:20.1836169Z     nargs=<optimized out>)
2023-01-11T22:25:20.1836494Z     at /usr/local/src/conda/python-3.7.15/Modules/clinic/posixmodule.c.h:2624
2023-01-11T22:25:20.1841350Z #3  0x00000000004ba72c in _PyMethodDef_RawFastCallKeywords (
2023-01-11T22:25:20.1841843Z     method=0x6c30e0 <posix_methods+1888>, self=0x7fc465cc1290, 
2023-01-11T22:25:20.1842268Z     args=0x7fc44ea471d0, nargs=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1842616Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:654
2023-01-11T22:25:20.1845746Z #4  0x00000000004ba350 in _PyCFunction_FastCallKeywords (
2023-01-11T22:25:20.1846260Z     kwnames=<optimized out>, nargs=<optimized out>, args=0x7fc44ea471d0, 
2023-01-11T22:25:20.1846630Z     func=0x7fc465cc3500)
2023-01-11T22:25:20.1846961Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:732
2023-01-11T22:25:20.1847766Z #5  call_function (pp_stack=0x7fff9aa62a60, oparg=<optimized out>, 
2023-01-11T22:25:20.1848057Z     kwnames=<optimized out>)
2023-01-11T22:25:20.1848376Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4568
2023-01-11T22:25:20.1849821Z #6  0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1850146Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1850599Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:20.1850843Z #7  0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1851147Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1851854Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1852344Z #8  function_code_fastcall (
2023-01-11T22:25:20.1852653Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:20.1853074Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1853481Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1854422Z #9  _PyFunction_FastCallDict (func=<optimized out>, args=0x7fc4096dd068, 
2023-01-11T22:25:20.1854704Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:20.1855042Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:20.1859104Z #10 0x00000000004b4515 in do_call_core (kwdict=0x0, callargs=0x7fc4096dd050, 
2023-01-11T22:25:20.1859393Z     func=0x7fc4655cec20)
2023-01-11T22:25:20.1859825Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:20.1860405Z #11 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:20.1860970Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:20.1861345Z #12 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1861671Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1862292Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1862796Z #13 function_code_fastcall (
2023-01-11T22:25:20.1863127Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:20.1863550Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1863959Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1864871Z #14 _PyFunction_FastCallDict (func=<optimized out>, args=0x7fc403888728, 
2023-01-11T22:25:20.1865150Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:20.1865472Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:20.1869305Z #15 0x00000000004b4515 in do_call_core (kwdict=0x7fc409633410, 
2023-01-11T22:25:20.1869555Z     callargs=0x7fc403888710, func=0x7fc40c7d3f80)
2023-01-11T22:25:20.1869973Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:20.1870874Z #16 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:20.1871396Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:20.1872255Z #17 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1872824Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fc44ea45560)
2023-01-11T22:25:20.1873531Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1873921Z #18 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:20.1874289Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1874772Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1876732Z #19 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x597f088, 
2023-01-11T22:25:20.1877002Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.1877334Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.1879107Z #20 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa62fb0, 
2023-01-11T22:25:20.1879527Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1879862Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1881249Z #21 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1881579Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1881886Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:20.1883099Z #22 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1883689Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x597eee0)
2023-01-11T22:25:20.1884315Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1884753Z #23 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:20.1885122Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1885526Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1888346Z #24 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x7fc4038c89e8, 
2023-01-11T22:25:20.1888638Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.1888982Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.1890719Z #25 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa63180, 
2023-01-11T22:25:20.1891224Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1891698Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1892478Z #26 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1892730Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1893042Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:20.1894196Z #27 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1894585Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fc4038c8850)
2023-01-11T22:25:20.1895057Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1895332Z #28 function_code_fastcall (globals=<optimized out>, nargs=2, 
2023-01-11T22:25:20.1895686Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1896096Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1898165Z #29 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x7fc403893550, 
2023-01-11T22:25:20.1898429Z     nargs=2, kwnames=<optimized out>)
2023-01-11T22:25:20.1898727Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.1901189Z #30 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa63350, 
2023-01-11T22:25:20.1901451Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1901773Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1902992Z #31 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1903467Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1904050Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:20.1904421Z #32 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1904801Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1905322Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1905861Z #33 function_code_fastcall (
2023-01-11T22:25:20.1906430Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:20.1907006Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1907593Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1907949Z #34 _PyFunction_FastCallDict (func=<optimized out>, args=0x7fff9aa634c0, 
2023-01-11T22:25:20.1908222Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:20.1908536Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:20.1924407Z #35 0x00000000004d0d6e in _PyObject_FastCallDict (kwargs=0x0, nargs=2, 
2023-01-11T22:25:20.1924729Z     args=<optimized out>, callable=0x7fc403895560)
2023-01-11T22:25:20.1925103Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.1929034Z #36 _PyObject_Call_Prepend (kwargs=0x0, 
2023-01-11T22:25:20.1929615Z     kwargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=0x7fc40394d250, 
2023-01-11T22:25:20.1930175Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fc403890dd0, 
2023-01-11T22:25:20.1930580Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, callable=0x7fc403895560, 
2023-01-11T22:25:20.1930957Z     callable@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:20.1931339Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.1933300Z #37 slot_tp_init (self=self@entry=0x7fc403890dd0, 
2023-01-11T22:25:20.1933876Z     args=args@entry=0x7fc40394d250, kwds=kwds@entry=0x0)
2023-01-11T22:25:20.1934311Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6636
2023-01-11T22:25:20.1934927Z #38 0x00000000004c28cd in type_call (kwds=<optimized out>, 
2023-01-11T22:25:20.1935234Z     args=0x7fc40394d250, type=<optimized out>)
2023-01-11T22:25:20.1935551Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1405
2023-01-11T22:25:20.1937257Z #39 _PyObject_FastCallKeywords (callable=0x597d710, stack=<optimized out>, 
2023-01-11T22:25:20.1937619Z     nargs=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1937953Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:199
2023-01-11T22:25:20.1940315Z #40 0x00000000004ba379 in call_function (pp_stack=0x7fff9aa63668, 
2023-01-11T22:25:20.1940839Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1941354Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:20.1941920Z #41 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1942172Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1942489Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:20.1943802Z #42 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1944211Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fc4038ecc20)
2023-01-11T22:25:20.1944620Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1944896Z #43 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:20.1945257Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1945648Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1947579Z #44 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x7fc4038eca40, 
2023-01-11T22:25:20.1947854Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.1948153Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.1950051Z #45 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa63830, 
2023-01-11T22:25:20.1950359Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1950691Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1951831Z #46 0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1952282Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1952879Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:20.1953284Z #47 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1953862Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fc4038ec8c0)
2023-01-11T22:25:20.1954655Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1955016Z #48 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:20.1955383Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1955776Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1957495Z #49 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x5937980, 
2023-01-11T22:25:20.1957817Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.1958130Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.1959973Z #50 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa63a00, 
2023-01-11T22:25:20.1960269Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1960619Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1961566Z #51 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1961969Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1962407Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:20.1962668Z #52 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1962959Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1963641Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.1971992Z #53 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.1972373Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.1972681Z     kwnames=<optimized out>, kwargs=0x7fc44ea433d0, kwcount=<optimized out>, 
2023-01-11T22:25:20.1972971Z     kwstep=1, defs=0x7fc40c70f428, defcount=5, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:20.1973232Z     name=0x7fc465b5a2b0, qualname=0x7fc465b5a2b0)
2023-01-11T22:25:20.1973542Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.1975519Z #54 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:20.1975878Z     stack=0x7fc44ea433c8, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.1976208Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:20.1978483Z #55 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa63ce0, 
2023-01-11T22:25:20.1978992Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1979542Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1980015Z #56 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1980322Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1980629Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:20.1981944Z #57 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1982348Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fc44ea43240)
2023-01-11T22:25:20.1982812Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.1983120Z #58 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:20.1983542Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.1983943Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.1985937Z #59 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x5973e58, 
2023-01-11T22:25:20.1986317Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.1986620Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.1988531Z #60 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa63ea8, 
2023-01-11T22:25:20.1988853Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.1989183Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.1990179Z #61 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.1990484Z     throwflag=<optimized out>)
2023-01-11T22:25:20.1990850Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:20.1991150Z #62 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.1991449Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.1991970Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2000785Z #63 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2001156Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2001458Z     kwnames=<optimized out>, kwargs=0x595b9d8, kwcount=<optimized out>, 
2023-01-11T22:25:20.2001741Z     kwstep=1, defs=0x7fc4656f1fa8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:20.2002086Z     name=0x7fc465ced770, qualname=0x7fc4656eb2f0)
2023-01-11T22:25:20.2002402Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2004184Z #64 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:20.2004560Z     stack=0x595b9d0, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.2004887Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:20.2007087Z #65 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa64180, 
2023-01-11T22:25:20.2007441Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2007811Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.2009041Z #66 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2009409Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2009873Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:20.2010169Z #67 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2010463Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2010983Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2019803Z #68 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2020120Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2020430Z     kwnames=<optimized out>, kwargs=0x7fc4038c87e8, kwcount=<optimized out>, 
2023-01-11T22:25:20.2020712Z     kwstep=1, defs=0x7fc409efcb48, defcount=5, kwdefs=0x0, 
2023-01-11T22:25:20.2020984Z     closure=0x7fc4096ccd10, name=0x7fc409eeeab0, qualname=0x7fc409eefd00)
2023-01-11T22:25:20.2021313Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2023198Z #69 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:20.2023577Z     stack=0x7fc4038c87e0, nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.2023901Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:20.2026064Z #70 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa64450, 
2023-01-11T22:25:20.2026393Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2026730Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.2028141Z #71 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2028561Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2028877Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:20.2029173Z #72 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2029474Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2029997Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2038693Z #73 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2039209Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2039727Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2040009Z     defs=0x7fc409efeca8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:20.2040253Z     name=0x7fc465ced770, qualname=0x7fc409eeecf0)
2023-01-11T22:25:20.2040563Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2041801Z #74 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2042297Z     args=0x7fff9aa646a0, nargs=2, kwargs=<optimized out>)
2023-01-11T22:25:20.2042745Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2045576Z #75 0x00000000004d4230 in _PyObject_FastCallDict (kwargs=0x7fc409633640, 
2023-01-11T22:25:20.2046175Z     nargs=2, args=<optimized out>, callable=0x7fc409678c20)
2023-01-11T22:25:20.2046599Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:84
2023-01-11T22:25:20.2049900Z #76 _PyObject_Call_Prepend (kwargs=0x7fc409633640, 
2023-01-11T22:25:20.2050514Z     kwargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, 
2023-01-11T22:25:20.2051055Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fc40962fe10, 
2023-01-11T22:25:20.2051459Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, callable=0x7fc409678c20, 
2023-01-11T22:25:20.2051835Z     callable@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:20.2052216Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2053408Z #77 method_call (method=method@entry=0x7fc465c3b050, args=<optimized out>, 
2023-01-11T22:25:20.2053744Z     kwargs=0x7fc409633640)
2023-01-11T22:25:20.2054046Z     at /usr/local/src/conda/python-3.7.15/Objects/classobject.c:309
2023-01-11T22:25:20.2056388Z #78 0x00000000004d1be0 in PyObject_Call (callable=0x7fc465c3b050, 
2023-01-11T22:25:20.2056758Z     args=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:20.2057072Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:245
2023-01-11T22:25:20.2060875Z #79 0x00000000004b4515 in do_call_core (kwdict=0x7fc409633640, 
2023-01-11T22:25:20.2061334Z     callargs=0x7fc409ee4410, func=0x7fc465c3b050)
2023-01-11T22:25:20.2061796Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:20.2062622Z #80 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:20.2063351Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:20.2063795Z #81 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2064360Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2065303Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2074064Z #82 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2074697Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2075251Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2075925Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7fc465d181b0, 
2023-01-11T22:25:20.2076277Z     qualname=0x7fc4656ea990)
2023-01-11T22:25:20.2076825Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2077954Z #83 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2078426Z     args=0x7fff9aa64a10, nargs=2, kwargs=<optimized out>)
2023-01-11T22:25:20.2079000Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2083852Z #84 0x00000000004d152e in _PyObject_Call_Prepend (callable=0x7fc465641b00, 
2023-01-11T22:25:20.2084359Z     obj=<optimized out>, args=0x7fc40394d390, kwargs=0x0)
2023-01-11T22:25:20.2084927Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2090439Z #85 0x000000000057d647 in slot_tp_call (self=0x7fc40962fe10, 
2023-01-11T22:25:20.2090823Z     args=0x7fc40394d390, kwds=0x0)
2023-01-11T22:25:20.2091393Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6402
2023-01-11T22:25:20.2094129Z #86 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:20.2094613Z     callable=0x7fc40962fe10, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:20.2095041Z     kwnames=<optimized out>)
2023-01-11T22:25:20.2095572Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:20.2097443Z #87 0x00000000004ba379 in call_function (pp_stack=0x7fff9aa64c08, 
2023-01-11T22:25:20.2097917Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2098526Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:20.2099574Z #88 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2099982Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2100495Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:20.2100928Z #89 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2101495Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2102492Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2111619Z #90 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2112189Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2112717Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2113191Z     defs=0x7fc4656486a8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:20.2113599Z     name=0x7fc465ced770, qualname=0x7fc4656482f0)
2023-01-11T22:25:20.2114137Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2115410Z #91 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2115893Z     args=0x7fff9aa64e60, nargs=2, kwargs=<optimized out>)
2023-01-11T22:25:20.2116461Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2119980Z #92 0x00000000004d4230 in _PyObject_FastCallDict (kwargs=0x7fc4096358c0, 
2023-01-11T22:25:20.2120439Z     nargs=2, args=<optimized out>, callable=0x7fc46564c440)
2023-01-11T22:25:20.2121036Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:84
2023-01-11T22:25:20.2125058Z #93 _PyObject_Call_Prepend (kwargs=0x7fc4096358c0, 
2023-01-11T22:25:20.2125668Z     kwargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, 
2023-01-11T22:25:20.2126359Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fc40962fb10, 
2023-01-11T22:25:20.2127073Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, callable=0x7fc46564c440, 
2023-01-11T22:25:20.2127737Z     callable@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:20.2128549Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2129045Z #94 method_call (method=method@entry=0x7fc4657735a0, args=<optimized out>, 
2023-01-11T22:25:20.2129431Z     kwargs=0x7fc4096358c0)
2023-01-11T22:25:20.2129974Z     at /usr/local/src/conda/python-3.7.15/Objects/classobject.c:309
2023-01-11T22:25:20.2132278Z #95 0x00000000004d1be0 in PyObject_Call (callable=0x7fc4657735a0, 
2023-01-11T22:25:20.2132724Z     args=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:20.2133283Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:245
2023-01-11T22:25:20.2137451Z #96 0x00000000004b4515 in do_call_core (kwdict=0x7fc4096358c0, 
2023-01-11T22:25:20.2137908Z     callargs=0x7fc4096e1d10, func=0x7fc4657735a0)
2023-01-11T22:25:20.2138471Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:20.2138946Z #97 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:20.2139585Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:20.2140039Z #98 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2140586Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2141682Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2150469Z #99 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2151020Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2151543Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2152031Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7fc465d181b0, 
2023-01-11T22:25:20.2152406Z     qualname=0x7fc465649030)
2023-01-11T22:25:20.2152946Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2154006Z #100 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2154562Z     args=0x7fff9aa651d0, nargs=2, kwargs=<optimized out>)
2023-01-11T22:25:20.2155134Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2159817Z #101 0x00000000004d152e in _PyObject_Call_Prepend (callable=0x7fc46564c320, 
2023-01-11T22:25:20.2160310Z     obj=<optimized out>, args=0x7fc4655d5b10, kwargs=0x0)
2023-01-11T22:25:20.2160893Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2165605Z #102 0x000000000057d647 in slot_tp_call (self=0x7fc40962fb10, 
2023-01-11T22:25:20.2165967Z     args=0x7fc4655d5b10, kwds=0x0)
2023-01-11T22:25:20.2166541Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6402
2023-01-11T22:25:20.2169109Z #103 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:20.2169575Z     callable=0x7fc40962fb10, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:20.2170017Z     kwnames=<optimized out>)
2023-01-11T22:25:20.2170559Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:20.2172508Z #104 0x00000000004ba379 in call_function (pp_stack=0x7fff9aa653c8, 
2023-01-11T22:25:20.2172962Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2173578Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:20.2174554Z #105 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2174953Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2175465Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:20.2175914Z #106 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2176475Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2177459Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2186732Z #107 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2187315Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2187852Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2188337Z     defs=0x7fc4656486a8, defcount=1, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:20.2188738Z     name=0x7fc465ced770, qualname=0x7fc4656482f0)
2023-01-11T22:25:20.2189301Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2190434Z #108 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2190914Z     args=0x7fff9aa65620, nargs=2, kwargs=<optimized out>)
2023-01-11T22:25:20.2191480Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2195032Z #109 0x00000000004d4230 in _PyObject_FastCallDict (kwargs=0x7fc4096a20a0, 
2023-01-11T22:25:20.2195475Z     nargs=2, args=<optimized out>, callable=0x7fc46564c440)
2023-01-11T22:25:20.2196069Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:84
2023-01-11T22:25:20.2200053Z #110 _PyObject_Call_Prepend (kwargs=0x7fc4096a20a0, 
2023-01-11T22:25:20.2200667Z     kwargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, 
2023-01-11T22:25:20.2201478Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fc40969dc10, 
2023-01-11T22:25:20.2202177Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, callable=0x7fc46564c440, 
2023-01-11T22:25:20.2202857Z     callable@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:20.2203705Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2204185Z #111 method_call (method=method@entry=0x7fc465763f00, args=<optimized out>, 
2023-01-11T22:25:20.2204604Z     kwargs=0x7fc4096a20a0)
2023-01-11T22:25:20.2205135Z     at /usr/local/src/conda/python-3.7.15/Objects/classobject.c:309
2023-01-11T22:25:20.2207337Z #112 0x00000000004d1be0 in PyObject_Call (callable=0x7fc465763f00, 
2023-01-11T22:25:20.2207779Z     args=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:20.2208379Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:245
2023-01-11T22:25:20.2212382Z #113 0x00000000004b4515 in do_call_core (kwdict=0x7fc4096a20a0, 
2023-01-11T22:25:20.2212815Z     callargs=0x7fc4655e7d90, func=0x7fc465763f00)
2023-01-11T22:25:20.2213371Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:20.2213868Z #114 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:20.2214505Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:20.2214968Z #115 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2215538Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2216483Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2225151Z #116 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2225712Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2226255Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2226728Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7fc465d181b0, 
2023-01-11T22:25:20.2227092Z     qualname=0x7fc465649030)
2023-01-11T22:25:20.2227630Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2228793Z #117 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2229373Z     args=0x7fff9aa65990, nargs=2, kwargs=<optimized out>)
2023-01-11T22:25:20.2229964Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2234712Z #118 0x00000000004d152e in _PyObject_Call_Prepend (callable=0x7fc46564c320, 
2023-01-11T22:25:20.2235165Z     obj=<optimized out>, args=0x7fc465652390, kwargs=0x0)
2023-01-11T22:25:20.2235733Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2240113Z #119 0x000000000057d647 in slot_tp_call (self=0x7fc40969dc10, 
2023-01-11T22:25:20.2240502Z     args=0x7fc465652390, kwds=0x0)
2023-01-11T22:25:20.2241053Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6402
2023-01-11T22:25:20.2243828Z #120 0x00000000004c2b60 in _PyObject_FastCallKeywords (
2023-01-11T22:25:20.2244342Z     callable=0x7fc40969dc10, stack=<optimized out>, nargs=<optimized out>, 
2023-01-11T22:25:20.2244763Z     kwnames=<optimized out>)
2023-01-11T22:25:20.2245291Z     at /usr/local/src/conda/python-3.7.15/Python/errors.c:176
2023-01-11T22:25:20.2246914Z #121 0x00000000004ba379 in call_function (pp_stack=0x7fff9aa65b88, 
2023-01-11T22:25:20.2247371Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2247968Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:20.2249186Z #122 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2249611Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2250298Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:20.2251334Z #123 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2251880Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x524a190)
2023-01-11T22:25:20.2252582Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.2253061Z #124 function_code_fastcall (globals=<optimized out>, nargs=2, 
2023-01-11T22:25:20.2253690Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.2254415Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.2256314Z #125 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x5335660, 
2023-01-11T22:25:20.2256750Z     nargs=2, kwnames=<optimized out>)
2023-01-11T22:25:20.2257314Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.2259847Z #126 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa65d50, 
2023-01-11T22:25:20.2260329Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2260933Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.2261695Z #127 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2262096Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2262648Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:20.2263943Z #128 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2264497Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x53354e0)
2023-01-11T22:25:20.2265200Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.2265662Z #129 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:20.2266300Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:20.2267007Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.2268892Z #130 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x5370830, 
2023-01-11T22:25:20.2269326Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:20.2269885Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:20.2272473Z #131 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa65f20, 
2023-01-11T22:25:20.2272955Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2273683Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.2274196Z #132 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2274672Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2275161Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:20.2275604Z #133 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2276165Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2277162Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2286768Z #134 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2287322Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2287867Z     kwnames=<optimized out>, kwargs=0x7fc40969e250, kwcount=<optimized out>, 
2023-01-11T22:25:20.2288342Z     kwstep=2, defs=0x7fc4655f7068, defcount=11, kwdefs=0x7fc46565b5a0, 
2023-01-11T22:25:20.2288755Z     closure=0x0, name=0x7fc465d184f0, qualname=0x7fc465656c60)
2023-01-11T22:25:20.2289345Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2290495Z #135 0x00000000004cbc37 in _PyFunction_FastCallDict (func=<optimized out>, 
2023-01-11T22:25:20.2291090Z     args=0x7fff9aa66190, nargs=1, kwargs=<optimized out>)
2023-01-11T22:25:20.2291655Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:367
2023-01-11T22:25:20.2295116Z #136 0x00000000004d0d6e in _PyObject_FastCallDict (kwargs=0x7fc4096a0af0, 
2023-01-11T22:25:20.2295573Z     nargs=1, args=<optimized out>, callable=0x7fc46565d7a0)
2023-01-11T22:25:20.2296126Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2300669Z #137 _PyObject_Call_Prepend (kwargs=0x7fc4096a0af0, 
2023-01-11T22:25:20.2301222Z     kwargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=0x7fc465d18050, 
2023-01-11T22:25:20.2301944Z     args@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, obj=0x7fc40969d5d0, 
2023-01-11T22:25:20.2302600Z     obj@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, callable=0x7fc46565d7a0, 
2023-01-11T22:25:20.2303263Z     callable@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:20.2303961Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:906
2023-01-11T22:25:20.2305554Z #138 slot_tp_init (self=self@entry=0x7fc40969d5d0, 
2023-01-11T22:25:20.2306028Z     args=args@entry=0x7fc465d18050, kwds=kwds@entry=0x7fc4096a0af0)
2023-01-11T22:25:20.2306630Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:6636
2023-01-11T22:25:20.2307695Z #139 0x00000000004c28cd in type_call (kwds=<optimized out>, 
2023-01-11T22:25:20.2308084Z     args=0x7fc465d18050, type=<optimized out>)
2023-01-11T22:25:20.2308674Z     at /usr/local/src/conda/python-3.7.15/Objects/typeobject.c:1405
2023-01-11T22:25:20.2310929Z #140 _PyObject_FastCallKeywords (callable=0x1011580, stack=<optimized out>, 
2023-01-11T22:25:20.2311410Z     nargs=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2311997Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:199
2023-01-11T22:25:20.2314462Z #141 0x00000000004ba379 in call_function (pp_stack=0x7fff9aa66340, 
2023-01-11T22:25:20.2314937Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2315528Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4619
2023-01-11T22:25:20.2316275Z #142 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2316556Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2316876Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:20.2327097Z #143 0x0000000000550010 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2327819Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x5002480)
2023-01-11T22:25:20.2328537Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:20.2329003Z #144 function_code_fastcall (co=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:20.2329453Z     nargs=<optimized out>, globals=<optimized out>)
2023-01-11T22:25:20.2330037Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:20.2332637Z #145 0x00000000004ba23f in call_function (pp_stack=0x7fff9aa664f8, 
2023-01-11T22:25:20.2333105Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:20.2333719Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:20.2334435Z #146 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:20.2334828Z     throwflag=<optimized out>)
2023-01-11T22:25:20.2335335Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:20.2335790Z #147 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:20.2336350Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:20.2337323Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:20.2346555Z #148 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:20.2347154Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:20.2347718Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:20.2348220Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0)
2023-01-11T22:25:20.2348812Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:20.2353891Z #149 0x00000000004b1209 in PyEval_EvalCodeEx (_co=<optimized out>, 
2023-01-11T22:25:20.2354487Z     globals=<optimized out>, locals=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:20.2354991Z     argcount=<optimized out>, kws=<optimized out>, kwcount=0, defs=0x0, 
2023-01-11T22:25:20.2355409Z     defcount=0, kwdefs=0x0, closure=0x0)
2023-01-11T22:25:20.2355944Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3959
2023-01-11T22:25:20.2359258Z #150 0x000000000054f39b in PyEval_EvalCode (co=co@entry=0x7fc465b72150, 
2023-01-11T22:25:20.2359781Z     globals=globals@entry=0x7fc465cd3280, locals=locals@entry=0x7fc465cd3280)
2023-01-11T22:25:20.2360419Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:524
2023-01-11T22:25:20.2364629Z #151 0x000000000056a263 in run_mod (mod=<optimized out>, 
2023-01-11T22:25:20.2364903Z     filename=<optimized out>, globals=0x7fc465cd3280, locals=0x7fc465cd3280, 
2023-01-11T22:25:20.2365179Z     flags=<optimized out>, arena=<optimized out>)
2023-01-11T22:25:20.2365540Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:1037
2023-01-11T22:25:20.2387878Z #152 0x0000000000570a17 in PyRun_FileExFlags (fp=0xecd310, 
2023-01-11T22:25:20.2388341Z     filename_str=<optimized out>, start=<optimized out>, 
2023-01-11T22:25:20.2388796Z     globals=0x7fc465cd3280, locals=0x7fc465cd3280, closeit=1, 
2023-01-11T22:25:20.2389150Z     flags=0x7fff9aa667e0)
2023-01-11T22:25:20.2389647Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:990
2023-01-11T22:25:20.2395456Z #153 0x000000000056ffd4 in PyRun_SimpleFileExFlags (fp=0xecd310, 
2023-01-11T22:25:20.2395979Z     filename=0x7fc465c8b7d0 "test_multiprocessing_spawn.py", closeit=1, 
2023-01-11T22:25:20.2396391Z     flags=0x7fff9aa667e0)
2023-01-11T22:25:20.2396903Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:429
2023-01-11T22:25:20.2399451Z #154 0x0000000000544be3 in pymain_run_file (p_cf=0x7fff9aa667e0, 
2023-01-11T22:25:20.2399852Z     filename=<optimized out>, fp=0xecd310)
2023-01-11T22:25:20.2400399Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:470
2023-01-11T22:25:20.2401957Z #155 pymain_run_filename (cf=0x7fff9aa667e0, pymain=0x7fff9aa668f0)
2023-01-11T22:25:20.2402550Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:1660
2023-01-11T22:25:20.2403601Z #156 pymain_run_python (pymain=0x7fff9aa668f0)
2023-01-11T22:25:20.2404190Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:2970
2023-01-11T22:25:20.2405464Z #157 pymain_main (pymain=0x7fff9aa668f0)
2023-01-11T22:25:20.2405988Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3517
2023-01-11T22:25:20.2515888Z #158 0x000000000054487c in _Py_UnixMain (argc=<optimized out>, 
2023-01-11T22:25:20.2516300Z     argv=<optimized out>)
2023-01-11T22:25:20.2516833Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3552
2023-01-11T22:25:20.2520603Z #159 0x00007fc465f23083 in __libc_start_main (main=0x544830 <main>, argc=6, 
2023-01-11T22:25:20.2521047Z     argv=0x7fff9aa66a58, init=<optimized out>, fini=<optimized out>, 
2023-01-11T22:25:20.2521443Z     rtld_fini=<optimized out>, stack_end=0x7fff9aa66a48)
2023-01-11T22:25:20.2521928Z     at ../csu/libc-start.c:308
2023-01-11T22:25:20.2522226Z #160 0x000000000054472e in _start ()
2023-01-11T22:25:20.2522738Z     at /usr/local/src/conda/python-3.7.15/Modules/itertoolsmodule.c:2515
2023-01-11T22:25:20.4071124Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2
2023-01-11T22:25:20.4071719Z Copyright (C) 2020 Free Software Foundation, Inc.
2023-01-11T22:25:20.4072215Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2023-01-11T22:25:20.4072520Z This is free software: you are free to change and redistribute it.
2023-01-11T22:25:20.4072795Z There is NO WARRANTY, to the extent permitted by law.
2023-01-11T22:25:20.4073040Z Type "show copying" and "show warranty" for details.
2023-01-11T22:25:20.4073402Z This GDB was configured as "x86_64-linux-gnu".
2023-01-11T22:25:20.4073653Z Type "show configuration" for configuration details.
2023-01-11T22:25:20.4073891Z For bug reporting instructions, please see:
2023-01-11T22:25:20.4074138Z <http://www.gnu.org/software/gdb/bugs/>.
2023-01-11T22:25:20.4074491Z Find the GDB manual and other documentation resources online at:
2023-01-11T22:25:20.4074770Z     <http://www.gnu.org/software/gdb/documentation/>.
2023-01-11T22:25:20.4074913Z 
2023-01-11T22:25:20.4074992Z For help, type "help".
2023-01-11T22:25:20.4075228Z Type "apropos word" to search for commands related to "word"...
2023-01-11T22:25:20.4543378Z Reading symbols from python...
2023-01-11T22:25:20.7750124Z 
2023-01-11T22:25:20.7750434Z warning: core file may not match specified executable file.
2023-01-11T22:25:20.7928962Z [New LWP 16624]
2023-01-11T22:25:20.7929196Z [New LWP 16635]
2023-01-11T22:25:20.7929400Z [New LWP 16633]
2023-01-11T22:25:20.7929577Z [New LWP 16637]
2023-01-11T22:25:20.7929743Z [New LWP 16641]
2023-01-11T22:25:20.7929897Z [New LWP 16630]
2023-01-11T22:25:20.7930071Z [New LWP 16639]
2023-01-11T22:25:20.7930237Z [New LWP 16643]
2023-01-11T22:25:20.7955381Z [Thread debugging using libthread_db enabled]
2023-01-11T22:25:20.7955833Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2023-01-11T22:25:24.4308987Z 78	../sysdeps/unix/syscall-template.S: No such file or directory.
2023-01-11T22:25:24.4309949Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2023-01-11T22:25:24.4310740Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2023-01-11T22:25:24.4311075Z Program terminated with signal SIGABRT, Aborted.
2023-01-11T22:25:24.4311429Z #0  0x00007fc29c9123db in kill () at ../sysdeps/unix/syscall-template.S:78
2023-01-11T22:25:24.4311693Z [Current thread is 1 (Thread 0x7fc29c8ce280 (LWP 16624))]
2023-01-11T22:25:24.4337346Z To enable execution of this file add
2023-01-11T22:25:24.4337947Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2023-01-11T22:25:24.4338438Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:24.4338894Z To completely disable this security protection add
2023-01-11T22:25:24.4339161Z 	set auto-load safe-path /
2023-01-11T22:25:24.4339405Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2023-01-11T22:25:24.4339664Z For more information about this security protection see the
2023-01-11T22:25:24.4340018Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2023-01-11T22:25:24.4340327Z 	info "(gdb)Auto-loading safe path"
2023-01-11T22:25:24.4340888Z #0  0x00007fc29c9123db in kill () at ../sysdeps/unix/syscall-template.S:78
2023-01-11T22:25:24.4341391Z #1  0x000000000057e4e4 in os_kill_impl (module=<optimized out>, 
2023-01-11T22:25:24.4341975Z     module@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4342507Z     signal=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4342859Z     pid=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>)
2023-01-11T22:25:24.4343253Z     at /usr/local/src/conda/python-3.7.15/Modules/posixmodule.c:6588
2023-01-11T22:25:24.4343539Z #2  os_kill (module=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:24.4343751Z     nargs=<optimized out>)
2023-01-11T22:25:24.4344071Z     at /usr/local/src/conda/python-3.7.15/Modules/clinic/posixmodule.c.h:2624
2023-01-11T22:25:24.4348064Z #3  0x00000000004ba72c in _PyMethodDef_RawFastCallKeywords (
2023-01-11T22:25:24.4348677Z     method=0x6c30e0 <posix_methods+1888>, self=0x7fc29c691290, 
2023-01-11T22:25:24.4349074Z     args=0x7fc2402bd550, nargs=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:24.4349428Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:654
2023-01-11T22:25:24.4352465Z #4  0x00000000004ba350 in _PyCFunction_FastCallKeywords (
2023-01-11T22:25:24.4352982Z     kwnames=<optimized out>, nargs=<optimized out>, args=0x7fc2402bd550, 
2023-01-11T22:25:24.4353225Z     func=0x7fc29c693460)
2023-01-11T22:25:24.4353686Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:732
2023-01-11T22:25:24.4354408Z #5  call_function (pp_stack=0x7fff17efb490, oparg=<optimized out>, 
2023-01-11T22:25:24.4354833Z     kwnames=<optimized out>)
2023-01-11T22:25:24.4355308Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4568
2023-01-11T22:25:24.4356793Z #6  0x00000000004b6cc2 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:24.4357116Z     throwflag=<optimized out>)
2023-01-11T22:25:24.4357483Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3093
2023-01-11T22:25:24.4357737Z #7  0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4358043Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4358713Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:24.4359864Z #8  function_code_fastcall (
2023-01-11T22:25:24.4360447Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:24.4361210Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:24.4361932Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:24.4362414Z #9  _PyFunction_FastCallDict (func=<optimized out>, args=0x7fc29bf1f768, 
2023-01-11T22:25:24.4362892Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:24.4363858Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:24.4367588Z #10 0x00000000004b4515 in do_call_core (kwdict=0x0, callargs=0x7fc29bf1f750, 
2023-01-11T22:25:24.4368030Z     func=0x7fc29be98b00)
2023-01-11T22:25:24.4368601Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:24.4369072Z #11 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:24.4369942Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:24.4370382Z #12 0x00000000004cba76 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4370906Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4371829Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:24.4372398Z #13 function_code_fastcall (
2023-01-11T22:25:24.4372945Z     globals=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, nargs=<optimized out>, 
2023-01-11T22:25:24.4373674Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:24.4374346Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:24.4374845Z #14 _PyFunction_FastCallDict (func=<optimized out>, args=0x7fc2400dcde8, 
2023-01-11T22:25:24.4375320Z     nargs=<optimized out>, kwargs=<optimized out>)
2023-01-11T22:25:24.4375850Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:322
2023-01-11T22:25:24.4379359Z #15 0x00000000004b4515 in do_call_core (kwdict=0x7fc240023a50, 
2023-01-11T22:25:24.4379779Z     callargs=0x7fc2400dcdd0, func=0x7fc2430f08c0)
2023-01-11T22:25:24.4380313Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4645
2023-01-11T22:25:24.4380970Z #16 _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>)
2023-01-11T22:25:24.4381576Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3191
2023-01-11T22:25:24.4382170Z #17 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4382706Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x7fc24398d200)
2023-01-11T22:25:24.4383367Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:24.4383860Z #18 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:24.4384504Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:24.4385216Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:24.4387313Z #19 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x5b07288, 
2023-01-11T22:25:24.4387762Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:24.4388328Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:24.4390746Z #20 0x00000000004ba23f in call_function (pp_stack=0x7fff17efb9e0, 
2023-01-11T22:25:24.4391227Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:24.4391841Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:24.4392578Z #21 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:24.4392950Z     throwflag=<optimized out>)
2023-01-11T22:25:24.4393504Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:24.4394817Z #22 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4395343Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x5b070e0)
2023-01-11T22:25:24.4396028Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:24.4396509Z #23 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:24.4397145Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:24.4397830Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:24.4400045Z #24 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x17c5b20, 
2023-01-11T22:25:24.4400487Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:24.4401059Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:24.4403612Z #25 0x00000000004ba23f in call_function (pp_stack=0x7fff17efbbb0, 
2023-01-11T22:25:24.4404090Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:24.4404699Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:24.4405416Z #26 0x00000000004b310b in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:24.4405816Z     throwflag=<optimized out>)
2023-01-11T22:25:24.4406357Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3110
2023-01-11T22:25:24.4407590Z #27 0x00000000004c4f56 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4408108Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, f=0x17c5990)
2023-01-11T22:25:24.4408790Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:544
2023-01-11T22:25:24.4409274Z #28 function_code_fastcall (globals=<optimized out>, nargs=1, 
2023-01-11T22:25:24.4409905Z     nargs@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, args=<optimized out>, co=<optimized out>)
2023-01-11T22:25:24.4410608Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:283
2023-01-11T22:25:24.4412871Z #29 _PyFunction_FastCallKeywords (func=<optimized out>, stack=0x181f6c0, 
2023-01-11T22:25:24.4413339Z     nargs=1, kwnames=<optimized out>)
2023-01-11T22:25:24.4413883Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:408
2023-01-11T22:25:24.4416224Z #30 0x00000000004ba23f in call_function (pp_stack=0x7fff17efbd88, 
2023-01-11T22:25:24.4416705Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:24.4417316Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:24.4417988Z #31 0x00000000004b2fe1 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:24.4418386Z     throwflag=<optimized out>)
2023-01-11T22:25:24.4418886Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3124
2023-01-11T22:25:24.4419330Z #32 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4419877Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4420862Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:24.4430147Z #33 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:24.4430722Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:24.4431236Z     kwnames=<optimized out>, kwargs=0x7fc29c6fa7c0, kwcount=<optimized out>, 
2023-01-11T22:25:24.4431743Z     kwstep=1, defs=0x7fc29c541b58, defcount=2, kwdefs=0x0, closure=0x0, 
2023-01-11T22:25:24.4432141Z     name=0x7fc29c65b870, qualname=0x7fc29c65b870)
2023-01-11T22:25:24.4432711Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:24.4433642Z #34 0x00000000004c50ec in _PyFunction_FastCallKeywords (func=<optimized out>, 
2023-01-11T22:25:24.4434115Z     stack=0x7fc29c6fa7c0, nargs=0, kwnames=<optimized out>)
2023-01-11T22:25:24.4434786Z     at /usr/local/src/conda/python-3.7.15/Objects/call.c:433
2023-01-11T22:25:24.4437468Z #35 0x00000000004ba23f in call_function (pp_stack=0x7fff17efc060, 
2023-01-11T22:25:24.4437948Z     oparg=<optimized out>, kwnames=<optimized out>)
2023-01-11T22:25:24.4438559Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:4616
2023-01-11T22:25:24.4439202Z #36 0x00000000004b3c41 in _PyEval_EvalFrameDefault (f=<optimized out>, 
2023-01-11T22:25:24.4439610Z     throwflag=<optimized out>)
2023-01-11T22:25:24.4440111Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3139
2023-01-11T22:25:24.4440553Z #37 0x00000000004b1411 in PyEval_EvalFrameEx (
2023-01-11T22:25:24.4441094Z     throwflag=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4442093Z     f=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Python/ceval.c:547
2023-01-11T22:25:24.4451486Z #38 _PyEval_EvalCodeWithName (_co=<optimized out>, globals=<optimized out>, 
2023-01-11T22:25:24.4452085Z     locals=<optimized out>, args=<optimized out>, argcount=<optimized out>, 
2023-01-11T22:25:24.4452622Z     kwnames=<optimized out>, kwargs=0x0, kwcount=<optimized out>, kwstep=2, 
2023-01-11T22:25:24.4453142Z     defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0)
2023-01-11T22:25:24.4453762Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3930
2023-01-11T22:25:24.4458900Z #39 0x00000000004b1209 in PyEval_EvalCodeEx (_co=<optimized out>, 
2023-01-11T22:25:24.4459442Z     globals=<optimized out>, locals=<optimized out>, args=<optimized out>, 
2023-01-11T22:25:24.4459941Z     argcount=<optimized out>, kws=<optimized out>, kwcount=0, defs=0x0, 
2023-01-11T22:25:24.4460357Z     defcount=0, kwdefs=0x0, closure=0x0)
2023-01-11T22:25:24.4460906Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:3959
2023-01-11T22:25:24.4464011Z #40 0x000000000054f39b in PyEval_EvalCode (co=co@entry=0x7fc29c674ae0, 
2023-01-11T22:25:24.4464532Z     globals=globals@entry=0x7fc29c6a31e0, locals=locals@entry=0x7fc29c6a31e0)
2023-01-11T22:25:24.4465138Z     at /usr/local/src/conda/python-3.7.15/Python/ceval.c:524
2023-01-11T22:25:24.4469266Z #41 0x000000000056a263 in run_mod (mod=<optimized out>, 
2023-01-11T22:25:24.4469755Z     filename=<optimized out>, globals=0x7fc29c6a31e0, locals=0x7fc29c6a31e0, 
2023-01-11T22:25:24.4470354Z     flags=<optimized out>, arena=<optimized out>)
2023-01-11T22:25:24.4470961Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:1037
2023-01-11T22:25:24.4475489Z #42 0x000000000056692b in PyRun_StringFlags (str=<optimized out>, start=257, 
2023-01-11T22:25:24.4475983Z     globals=0x7fc29c6a31e0, locals=0x7fc29c6a31e0, flags=0x7fff17efc2f0)
2023-01-11T22:25:24.4476618Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:961
2023-01-11T22:25:24.4481427Z #43 0x000000000056679b in PyRun_SimpleStringFlags (
2023-01-11T22:25:24.4482047Z     command=0x7fc29c616dd0 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=7, pipe_handle=9)\n", flags=0x7fff17efc2f0)
2023-01-11T22:25:24.4482811Z     at /usr/local/src/conda/python-3.7.15/Python/pythonrun.c:455
2023-01-11T22:25:24.4484288Z #44 0x0000000000544967 in pymain_run_command (cf=0x7fff17efc2f0, 
2023-01-11T22:25:24.4484865Z     cf@entry=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>, 
2023-01-11T22:25:24.4485772Z     command=<error reading variable: dwarf2_find_location_expression: Corrupted DWARF expression.>) at /usr/local/src/conda/python-3.7.15/Modules/main.c:428
2023-01-11T22:25:24.4486394Z #45 pymain_run_python (pymain=0x7fff17efc400)
2023-01-11T22:25:24.4486940Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:2964
2023-01-11T22:25:24.4487693Z #46 pymain_main (pymain=0x7fff17efc400)
2023-01-11T22:25:24.4488193Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3517
2023-01-11T22:25:24.4608568Z #47 0x000000000054487c in _Py_UnixMain (argc=<optimized out>, 
2023-01-11T22:25:24.4608965Z     argv=<optimized out>)
2023-01-11T22:25:24.4609499Z     at /usr/local/src/conda/python-3.7.15/Modules/main.c:3552
2023-01-11T22:25:24.4613141Z #48 0x00007fc29c8f3083 in __libc_start_main (main=0x544830 <main>, argc=5, 
2023-01-11T22:25:24.4613580Z     argv=0x7fff17efc568, init=<optimized out>, fini=<optimized out>, 
2023-01-11T22:25:24.4614024Z     rtld_fini=<optimized out>, stack_end=0x7fff17efc558)
2023-01-11T22:25:24.4614473Z     at ../csu/libc-start.c:308
2023-01-11T22:25:24.4614765Z #49 0x000000000054472e in _start ()
2023-01-11T22:25:24.4615169Z     at /usr/local/src/conda/python-3.7.15/Modules/itertoolsmodule.c:2515
2023-01-11T22:25:25.2537740Z ##[group]Run set -x
2023-01-11T22:25:25.2537946Z set -x
2023-01-11T22:25:25.2538168Z python3 -m pip install -r requirements.txt
2023-01-11T22:25:25.2538404Z python3 -m pip install boto3==1.19.12
2023-01-11T22:25:25.2538767Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2023-01-11T22:25:25.2549702Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:25:25.2549910Z env:
2023-01-11T22:25:25.2550088Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:25:25.2550364Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:25:25.2550624Z   AWS_DEFAULT_REGION: us-east-1
2023-01-11T22:25:25.2550811Z   BRANCH: 
2023-01-11T22:25:25.2550981Z   TEST_CONFIG: default
2023-01-11T22:25:25.2551148Z   SHARD_NUMBER: 2
2023-01-11T22:25:25.2551396Z   BUILD_ENVIRONMENT: parallelnative-linux-focal-py3.7-gcc7
2023-01-11T22:25:25.2551640Z   PR_NUMBER: 
2023-01-11T22:25:25.2551843Z   PYTORCH_RETRY_TEST_CASES: 1
2023-01-11T22:25:25.2552050Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2023-01-11T22:25:25.2552283Z   SHA1: 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T22:25:25.2552498Z   TAG: ciflow/trunk/91627
2023-01-11T22:25:25.2552670Z   WORKFLOW_ID: 3896346758
2023-01-11T22:25:25.2552994Z   GITHUB_TOKEN: ***
2023-01-11T22:25:25.2553185Z   GHA_WORKFLOW_JOB_ID: 10588926540
2023-01-11T22:25:25.2553359Z ##[endgroup]
2023-01-11T22:25:25.2578106Z + python3 -m pip install -r requirements.txt
2023-01-11T22:25:25.4644825Z Defaulting to user installation because normal site-packages is not writeable
2023-01-11T22:25:25.4917150Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3)
2023-01-11T22:25:25.4944033Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4)
2023-01-11T22:25:25.4951780Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2)
2023-01-11T22:25:25.4959821Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.62.0)
2023-01-11T22:25:25.5321311Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6)
2023-01-11T22:25:25.5329698Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1)
2023-01-11T22:25:25.5404467Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0)
2023-01-11T22:25:25.5411862Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0)
2023-01-11T22:25:25.5626753Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3)
2023-01-11T22:25:25.5792817Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0)
2023-01-11T22:25:25.5801092Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6)
2023-01-11T22:25:25.5806524Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0)
2023-01-11T22:25:25.5815968Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1)
2023-01-11T22:25:25.5833618Z Requirement already satisfied: filelock in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (3.9.0)
2023-01-11T22:25:25.5903731Z Requirement already satisfied: networkx in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (2.6.3)
2023-01-11T22:25:25.6059106Z Requirement already satisfied: jinja2 in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (3.1.2)
2023-01-11T22:25:25.6082970Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4)
2023-01-11T22:25:25.6098628Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0)
2023-01-11T22:25:25.6108069Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.2.0)
2023-01-11T22:25:25.6359193Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.1.0)
2023-01-11T22:25:25.6375543Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.14)
2023-01-11T22:25:25.6527472Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.12.7)
2023-01-11T22:25:25.6535853Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12)
2023-01-11T22:25:25.6553523Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4)
2023-01-11T22:25:25.6564366Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1)
2023-01-11T22:25:25.6618217Z Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from jinja2->-r requirements.txt (line 17)) (2.1.1)
2023-01-11T22:25:25.7175530Z + python3 -m pip install boto3==1.19.12
2023-01-11T22:25:25.9248361Z Defaulting to user installation because normal site-packages is not writeable
2023-01-11T22:25:25.9428642Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12)
2023-01-11T22:25:25.9478657Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12)
2023-01-11T22:25:25.9520910Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0)
2023-01-11T22:25:25.9542723Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2)
2023-01-11T22:25:25.9568378Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.14)
2023-01-11T22:25:25.9722768Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2)
2023-01-11T22:25:25.9741780Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2023-01-11T22:25:26.1544769Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2023-01-11T22:30:48.4561416Z [scribe] Scribe access token not provided, sending report via boto3...
2023-01-11T22:30:48.4562095Z ERROR ENCOUNTERED WHEN UPLOADING TO SCRIBE: {"errorMessage":"2023-01-11T22:30:40.942Z 388bd296-2d6b-455e-8343-3392e9cc8d6a Task timed out after 60.03 seconds"}
2023-01-11T22:30:48.4562386Z 
2023-01-11T22:30:48.4564132Z ----- Historic stats comparison result ------
2023-01-11T22:30:48.4564571Z 
2023-01-11T22:30:48.4564773Z     job: parallelnative-linux-focal-py3.7-gcc7
2023-01-11T22:30:48.4565055Z     commit: 8419ddda87c8a47eacc63b54bc7ec98c1f27c26e
2023-01-11T22:30:48.4565208Z 
2023-01-11T22:30:48.4565359Z Commit graph (base is most recent master ancestor with at least one S3 report):
2023-01-11T22:30:48.4567841Z 
2023-01-11T22:30:48.4568197Z     : (master)
2023-01-11T22:30:48.4568458Z     |
2023-01-11T22:30:48.4568759Z     | * 8419ddda87 (HEAD)            total time  8889.21s
2023-01-11T22:30:48.4568980Z     | |
2023-01-11T22:30:48.4569124Z     | : (2 commits)
2023-01-11T22:30:48.4569284Z     |/
2023-01-11T22:30:48.4569784Z     * db2a237763 (base)   2 reports, total time  8308.04s ±  118.96s
2023-01-11T22:30:48.4570363Z     * 2b0abd4ce3          2 reports, total time  8097.74s ±  205.85s
2023-01-11T22:30:48.4570960Z     * f7939b21e1          6 reports, total time  5431.61s ± 4173.83s
2023-01-11T22:30:48.4571334Z     * cb3204823e          2 reports, total time  8117.25s ±  219.15s
2023-01-11T22:30:48.4571836Z     * 6e236553f5          2 reports, total time  8128.48s ±  132.37s
2023-01-11T22:30:48.4572386Z     * cce577b391          2 reports, total time  8142.08s ± 1034.29s
2023-01-11T22:30:48.4572806Z     * fae821c2f1          2 reports, total time  8131.36s ±  962.26s
2023-01-11T22:30:48.4573124Z     * 0c3659586d          2 reports, total time  8226.12s ±  923.19s
2023-01-11T22:30:48.4573418Z     * 122245985a          2 reports, total time  8364.90s ±  871.52s
2023-01-11T22:30:48.4574664Z     * b797a24259          2 reports, total time  8058.61s ±  975.90s
2023-01-11T22:30:48.4574861Z     |
2023-01-11T22:30:48.4575007Z     :
2023-01-11T22:30:48.4575099Z 
2023-01-11T22:30:48.4575220Z Removed  (across  277 suites)     0 tests, totaling     0.00s
2023-01-11T22:30:48.4575483Z Modified (across    0 suites)     0 tests, totaling     0.00s
2023-01-11T22:30:48.4575736Z Added    (across  506 suites) 51600 tests, totaling +8889.21s
2023-01-11T22:30:48.5633813Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2023-01-11T22:30:48.5634062Z with:
2023-01-11T22:30:48.5634214Z env:
2023-01-11T22:30:48.5634468Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:30:48.5634744Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:30:48.5635016Z ##[endgroup]
2023-01-11T22:30:48.5648793Z ##[group]Run set -eou pipefail
2023-01-11T22:30:48.5649014Z set -eou pipefail
2023-01-11T22:30:48.5649195Z 
2023-01-11T22:30:48.5649434Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2023-01-11T22:30:48.5649671Z for _ in $(seq 1440); do
2023-01-11T22:30:48.5649889Z     # Break if no ssh session exists anymore
2023-01-11T22:30:48.5650107Z     if [ "$(who)" = "" ]; then
2023-01-11T22:30:48.5650445Z       break
2023-01-11T22:30:48.5650614Z     fi
2023-01-11T22:30:48.5650817Z     echo "."
2023-01-11T22:30:48.5650980Z     sleep 5
2023-01-11T22:30:48.5651151Z done
2023-01-11T22:30:48.5662087Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:30:48.5662289Z env:
2023-01-11T22:30:48.5662461Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:30:48.5662741Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:30:48.5662991Z ##[endgroup]
2023-01-11T22:30:48.5689335Z Holding runner for 2 hours until all ssh sessions have logged out
2023-01-11T22:30:48.5784783Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2023-01-11T22:30:48.5785118Z # ignore expansion of "docker ps -q" since it could be empty
2023-01-11T22:30:48.5785376Z # shellcheck disable=SC2046
2023-01-11T22:30:48.5785609Z docker stop $(docker ps -q) || true
2023-01-11T22:30:48.5785824Z # Prune all of the docker images
2023-01-11T22:30:48.5786040Z docker system prune -af
2023-01-11T22:30:48.5796635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2023-01-11T22:30:48.5796848Z env:
2023-01-11T22:30:48.5797022Z   GIT_DEFAULT_BRANCH: master
2023-01-11T22:30:48.5797300Z   DOCKER_CONTAINER_ID: 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:30:48.5797546Z ##[endgroup]
2023-01-11T22:30:48.9617412Z 17953c2a6753
2023-01-11T22:30:52.2036518Z Deleted Containers:
2023-01-11T22:30:52.2036843Z 17953c2a67539ef9da6bfcc4f9d931182556be99ea6b8e3bbe3971fb4d1a7059
2023-01-11T22:30:52.2037023Z 
2023-01-11T22:30:58.8050776Z Deleted Images:
2023-01-11T22:30:58.8052473Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:fd224c2e6c79d7fdec6408da598bf52bc5b201dd
2023-01-11T22:30:58.8053163Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7@sha256:d201d5d219c1681863b90b8d50e8b2382dd0a533dc69c772527c8255937144a4
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2023-01-11T22:30:58.8075244Z 
2023-01-11T22:30:58.8075403Z Total reclaimed space: 10.59GB
2023-01-11T22:30:58.8146634Z Post job cleanup.
2023-01-11T22:30:58.8182597Z Post job cleanup.
2023-01-11T22:30:58.9205476Z [command]/usr/bin/git version
2023-01-11T22:30:58.9247630Z git version 2.38.1
2023-01-11T22:30:58.9285141Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/92f90d2e-9c2b-4524-b089-298d943c5a5f' before making global git config changes
2023-01-11T22:30:58.9286094Z Adding repository directory to the temporary git global config as a safe directory
2023-01-11T22:30:58.9289576Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2023-01-11T22:30:58.9338523Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2023-01-11T22:30:58.9367944Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2023-01-11T22:30:58.9768347Z Entering 'android/libs/fbjni'
2023-01-11T22:30:58.9813998Z Entering 'third_party/FP16'
2023-01-11T22:30:58.9858229Z Entering 'third_party/FXdiv'
2023-01-11T22:30:58.9913566Z Entering 'third_party/NNPACK'
2023-01-11T22:30:58.9962910Z Entering 'third_party/QNNPACK'
2023-01-11T22:30:59.0014868Z Entering 'third_party/VulkanMemoryAllocator'
2023-01-11T22:30:59.0048374Z Entering 'third_party/XNNPACK'
2023-01-11T22:30:59.0159341Z Entering 'third_party/benchmark'
2023-01-11T22:30:59.0213212Z Entering 'third_party/cpuinfo'
2023-01-11T22:30:59.0265621Z Entering 'third_party/cub'
2023-01-11T22:30:59.0311655Z Entering 'third_party/cudnn_frontend'
2023-01-11T22:30:59.0350772Z Entering 'third_party/cutlass'
2023-01-11T22:30:59.0390869Z Entering 'third_party/eigen'
2023-01-11T22:30:59.0455034Z Entering 'third_party/fbgemm'
2023-01-11T22:30:59.0510506Z Entering 'third_party/fbgemm/third_party/asmjit'
2023-01-11T22:30:59.0572768Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2023-01-11T22:30:59.0627053Z Entering 'third_party/fbgemm/third_party/googletest'
2023-01-11T22:30:59.0759365Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2023-01-11T22:30:59.0759692Z Entering 'third_party/flatbuffers'
2023-01-11T22:30:59.0764349Z Entering 'third_party/fmt'
2023-01-11T22:30:59.0813308Z Entering 'third_party/foxi'
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